AI Makes Predictive Maintenance Technicians’ Best Friend

AI Makes Predictive Maintenance Technicians’ Best Friend

Predictive maintenance was developed decades ago to identify emerging machine faults and help technicians prevent costly production disruptionsWhile the concept has proven its value, traditional predictive maintenance systems often generate overwhelming amounts of data. Instead of simplifying repairs, this data overload can make troubleshooting harder for technicians. Artificial Intelligence (AI) excels at simplifying complex things; so why not use it to make predictive maintenance easier and more actionable? 

This blog explores the benefits of AI-enabled predictive maintenance and how Treon Flow uses AI to become the maintenance technicians’ new best friend.  

Why Predictive Maintenance Has Become Critical

Several structural changes have reshaped how plants operate. Historically, many factories relied on dedicated maintenance shifts and had redundancy built into their inventory. If one machine failed, it could be quickly repaired, or replacement equipment could take its place. That safety net largely no longer exists. 

Today, plants operate continuously, with fewer backup machines and tighter production schedules. At the same time, modern equipment have become significantly more complex, which creates more potential failure vectors, making traditional maintenance approaches less effective. 

Another major shift is the workforce itself. Experienced subject matter experts are retiring, while fewer technicians are available to manage a rapidly growing volume of machines. Maintenance teams are flooded with information but lack the time and resources to interpret it. Predictive maintenance must therefore evolve from detecting failures to helping teams act efficiently. 

The Real Cost of Downtime
 

Downtime remains one of the most expensive challenges in manufacturing. The true bottleneck is often not the failure itself, but the lack of early insight. 

It’s relatively easy to spot a machine that is about to fail. Technicians don’t need advanced sensors to hear equipment that’s already in its final stages. The real challenge is identifying early-stage faults that develop quietly long before a breakdown occurs. 

Without early warning, plants are forced to operate in reactive mode: Maintenance teams struggle to diagnose issues, spare parts may not be available, repairs take longer than expected, and production losses escalate.  

Staffing shortages compound the problem. With fewer people reviewing more data, many organizations choose to monitor only major faults, ignoring early indicators. This approach saves time in the short term but increases risk and costs in the long term. 

 
What’s AI Predictive Maintenance?  

Traditional predictive maintenance often focuses on a limited set of failure modes, such as imbalance, misalignment, or bearing wear. In reality, machines can fail in many more ways, and each machine produces its own unique vibration pattern. 

AI predictive maintenance excels at simplifying this complexity. By understanding machine design, components, operating conditions, and historical behavior, AI systems can: 

  • Learn what “normal” looks like for each asset 
  • Set adaptive thresholds rather than fixed alarms 
  • Detect subtle deviations earlier 
  • Reduce false positives caused by normal operating variation 

AI predictive maintenance enables teams and technicians operate more efficiently. Instead of overwhelming technicians with masses of raw data, AI packages insights in a way that makes human decision-making faster and more reliable. Out of thousands of data points, AI can highlight the small percentage that truly needs expert attention. 

Human-in-the-loop is still the de-facto modus operandi in AI predictive maintenance today; AI filters massive data volumes and identifies outliers while humans validate findings and make final decisions.   

AI reduces experts’ workload, decreasing the level of complexity and allowing them to focus on solving the most challenging cases that require human judgement. 

Treon Flow is a Technician-Friendly AI Predictive Maintenance Solution 

Treon Flow is a simple, cost-efficient, mobile-first, condition monitoring solution powered by self-learning AI. It is designed for technician-led maintenance teams and applications such as: 

  • Material handling conveyors 
  • Food packaging and beverage bottling lines 
  • Pharmaceutical production systems 
  • Airport baggage handling systems 
  • Ventilation motors and other industrial assets 

Treon Flow is an end-to-end solution with wireless sensors, gateways, mobile application, and predictive maintenance cloud platform, Treon Connect. It allows you to continuously monitor industrial equipment and empower technicians to act and report on maintenance tasks via a mobile app, avoiding costly downtime, and automating the workflow for the entire site staff. 

The Treon Connect platform unifies data from diverse sensors, enables AI-powered alerts in the cloud, automates workflows, and provides integrations with other cloud systems. 

The high-quality wireless condition monitoring sensor, Treon Industrial Node C, is ideal for assets with short repair windows. It captures vibration and temperature data and enables you to receive AI alerts on the condition of your equipment in a cost-effective manner.  

Treon sensors and gateways are pre-configured to work out of the box, enabling rapid installation and monitoring in minutes. The self-learning AI algorithm takes just a few weeks to establish optimal operational levels. As more data is gathered and technician feedback is provided via mobile apps, the accuracy improves over time. This is complemented by ISO-standardized predictive maintenance practices. 

Benefits of Treon Flow AI Predictive Maintenance  

  • Reduce unplanned downtime by spotting issues early and preventing unexpected stoppages 
  • Reduce maintenance costs through predictive alerts and smart workflows 
  • Support field teams with mobile tools that deliver instant alerts and easy reporting. 
Conclusions on AI Predictive Maintenance

 Predictive maintenance and vibration monitoring have traditionally focused on achieving extremely high measurement accuracy and detailed fault classification. Treon Flow takes a different approach. It is designed for applications where speed of action, productivity, and flexibility matter more than ultimate analytical precision.

Built with technicians in mind, Treon Flow delivers only the information that is truly relevant, without overwhelming teams with complex vibration analytics. By automatically alerting on detected anomalies and guiding maintenance teams toward timely action, it enables efficient, proactive maintenance without a flood of unnecessary data.

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What is Asset Management and Why Does it Matter

What is Asset Management and Why Does it Matter

Unplanned downtime, high maintenance costs, and a lack of real-time visibility into your equipment’s health—these are persistent challenges for any industrial operation. While many organizations are adopting condition monitoring to gather data, the real value lies in using that data to make strategic decisions. This is where asset management becomes the critical backbone of your entire operational strategy.

What is asset management? 

Asset management is more than just keeping a list of your equipment. It’s a systematic approach to tracking, managing, and optimizing the entire lifecycle of your physical assets. By integrating real-time data from condition monitoring, you can shift from reactive repairs to a proactive, predictive strategy that extends asset life, boosts ROI, and keeps your operations running smoothly.

This blog post will explore how a robust asset management strategy, powered by wireless condition monitoring and predictive analytics, is transforming industrial operations. We’ll cover the essential tools, key performance indicators (KPIs), and the tangible benefits that make asset management a cornerstone of modern industry.

The Link Between Asset Management and Condition Monitoring

Asset management and condition monitoring go hand in hand. While condition monitoring provides the raw data on asset health, asset management provides the framework to turn that data into actionable intelligence. Without a strategic asset management plan, the alerts and readings from your sensors are just noise.

Here’s how they work together:

  • Data-Driven Decisions: Condition monitoring, especially through wireless IoT sensors, delivers a constant stream of real-time data on parameters like vibration, temperature, and pressure. This information feeds directly into your asset management system, enabling you to make informed decisions about maintenance schedules, repairs, and even when to replace an asset.
  • A Shift to Predictive Maintenance: The goal is to move beyond reactive or even preventive maintenance schedules. By analyzing trends from your condition monitoring data, your asset management system can predict potential failures before they happen. This shift to predictive maintenance minimizes unplanned downtime and allows you to schedule repairs during planned shutdowns, optimizing resource allocation.
  • Compliance and Risk Mitigation: Many industries have strict regulatory and safety standards. An effective asset management system provides a complete history of an asset’s performance and maintenance activities. This detailed record-keeping, supported by real-time data, ensures compliance and helps mitigate operational risks.
  • Cost Control and Budgeting: By understanding the true condition of your assets, you can prioritize maintenance spending where it’s most needed. This prevents over-maintenance of healthy equipment and under-maintenance of critical machinery, leading to significant cost savings and more accurate operational budgeting.
Key Benefits of a Strong Asset Management Strategy

 

Integrating asset management with real-time monitoring delivers powerful benefits that directly impact your bottom line and operational efficiency.

 

Extends Asset Lifespan

 

Predictive maintenance allows you to address minor issues before they escalate into major failures that could damage an asset beyond repair. By optimizing maintenance schedules based on actual equipment condition rather than a fixed calendar, you reduce unnecessary wear and tear, ultimately extending the productive life of your machinery.

 

Improves ROI on Capital Equipment

 

Your physical assets represent a significant capital investment. A strategic asset management program ensures you get the maximum return on that investment. By maximizing uptime, reducing repair costs, and extending the operational life of your equipment, you increase its overall value contribution to your business.

 

Enhances Operational Planning

 

With a clear view of asset health and performance trends, you can plan your operations with greater confidence. Asset management systems provide the data needed for more accurate production forecasting, resource allocation, and long-term capital planning. This proactive approach helps align maintenance activities with broader business objectives, such as meeting production targets and managing a massive-scale IoT deployment effectively.

 

Tools and Technologies Powering Modern Asset Management 

 

The evolution of asset management has been driven by powerful software and hardware innovations. These tools help centralize data, automate workflows, and provide the analytical power needed to manage complex industrial environments.

  • Computerized Maintenance Management Systems (CMMS): A CMMS is foundational software for maintenance operations. It helps manage work orders, track maintenance history, and control inventory for spare parts. When integrated with condition monitoring data, a CMMS can automatically generate work orders based on real-time alerts.
  • Enterprise Asset Management (EAM) Platforms: EAM systems offer a broader, more holistic view than a CMMS. They manage the entire asset lifecycle, from acquisition and deployment to maintenance and disposal. EAM platforms often include financial management, procurement, and performance analytics, providing a comprehensive tool for strategic asset management.
  • IoT Sensors and Wireless Condition Monitoring: The rise of Industry 4.0 and the integration of Operational Technology (OT) have made wireless IoT sensors essential. These devices collect real-time data from machinery and transmit it wirelessly to a central platform. This technology eliminates the need for manual inspections, provides continuous monitoring of even remote or hard-to-reach assets, and forms the data-gathering foundation of modern asset management.
  • Predictive Analytics and AI: The most advanced asset management strategies leverage predictive analytics and artificial intelligence (AI). These technologies analyze vast datasets from IoT sensors to identify complex patterns and predict failures with a high degree of accuracy. They can also recommend optimal maintenance actions, moving organizations closer to a fully autonomous operational model that balances cloud and edge computing for maximum efficiency.

 

Key Performance Indicators (KPIs) for Asset Management

 

To measure the effectiveness of your asset management strategy, you need to track the right KPIs. These metrics provide insight into your operational performance and help identify areas for improvement.

 

  • Mean Time Between Failures (MTBF): This KPI measures the average time a piece of equipment operates before it fails. A rising MTBF indicates that your maintenance strategies are effectively improving asset reliability and reducing the frequency of breakdowns.
  • Overall Equipment Effectiveness (OEE): OEE is a comprehensive metric that measures asset productivity. It is calculated by multiplying three factors: Availability (uptime), Performance (speed), and Quality (good output). An OEE score of 100% represents perfect production. Tracking OEE helps you identify losses and pinpoint opportunities for improvement.
  • Maintenance Cost as a Percentage of Replacement Value: This KPI helps you determine if it’s more cost-effective to continue maintaining an asset or to replace it. By comparing the annual cost of maintenance to the asset’s replacement value, you can make smarter financial decisions about your capital equipment. A high percentage may signal that it’s time for a replacement.

 

Take Your Asset Performance to the Next Level

 

Effective asset management is no longer an option—it’s a necessity for any industrial organization looking to remain competitive. By integrating wireless condition monitoring and predictive analytics into a strategic framework, you can unlock new levels of efficiency, reduce costs, and extend the life of your critical equipment. The journey starts with understanding your assets and implementing the right tools to monitor and manage them effectively.

 

Ready to future-proof your assets? Talk to our experts and discover how our wireless condition monitoring solutions can transform your asset management strategy.

 

 

GUIDE

Measure the ROI of AI-Powered Predictive Maintenance

Discover the financial impact behind technician‑driven AI insights and learn how to quantify those gains with a simple ROI framework.

Treon’s Approach to IoT Scalability: An Integrated Solution

Treon’s Approach to IoT Scalability: An Integrated Solution

Massive-scale IoT deployments are a necessity for industries aiming to optimize operations, reduce downtime, and stay competitive. Yet, scaling from a handful of measuring points to thousands across multiple sites introduces a host of challenges: from device onboarding and network reliability to data integration and cost control. 

 

At Treon, we believe that overcoming these challenges requires more than just individual components — it demands a unified, end-to-end solution. That’s why we’ve built an integrated IoT ecosystem designed to make large-scale deployments not only possible, but practical and efficient. The solution includes all the ingredients of a successful deployment in one package: from sensor hardware to cloud software and AI analytics. 

 

Treon Connect: The brain of massive-scale IoT

 

Treon Connect is an end-to-end IoT platform that enables gathering, storing, and analyzing machine data captured by sensors. Consider it the intelligence layer that brings structure to large IoT deployments.    

 

Key capabilities of the platform include: 
  • Reliable and secure monitoring of up to thousands of IoT-enabled machines and equipment.  
  • Simple onboarding of new sensors using replicable configurations.  
  • Seamless integrations to other business systems minimizes deployment time and costs. 
  • Visibility into each sensor’s status, battery level, radio link quality, and update history enables troubleshooting potential connectivity or maintenance issues. 
  • Organizations with several facilities can assign permissions and visibility by plant, region, or team role to manage multi-site installations.   

Treon Connect provides an easy way to manage everything needed for successful IoT deployment: the data collection, connectivity, integrations to other systems and the main application itself.

 

Designed for scale: From one sensor to thousands 

 

In addition to a one-stop platform, another important aspect of effective IoT deployment are the physical sensors. 

Treon’s wireless approach enables fast deployment of hundreds or even thousands of devices per site – with minimal configuration: 

  • The sensors are battery-operated with lifespans of 3–5 years, depending on their usage profiles. In the latest sensor models, the battery can also be replaced.   
  • No cabling, drilling, or external power is needed, which significantly reduces installation costs and time. 
  • Sensors preprocess the data to minimize the amount of data sent, reducing strain on the network. 
  • Gateways are plug-and-play, making network setup intuitive and fast. 

Part of achieving cost-efficiency involves selecting the right sensor for each measurement point. The concept of lead-time is helpful here. Lead-time is a measure of the time it takes between the detection of a potential failure and the actual failure.  

 

Equipment with long lead-times benefit from high-performance sensors that detect even the smallest anomalities, like Treon Industrial Node X. Industrial Node X is also the preferred choice for any equipment that, if broken unexpectedly, will cause a long down-time in the production.   

 

Treon Industrial Node X uses Wirepas’s mesh network technology that enables each sensor to communicate with its neighbors and dynamically route data to the gateway. There is no need for radio planning or costly infrastructure buildouts. 

 

Equipment with shorter lead-times can be monitored with sensors like Treon Industrial Node C, which is a more cost-efficient choice. Instead of Wirepas, Treon Industrial Node C sensors use Bluetooth Low Energy (BLE) technology to connect to network gateways that gather the date from each sensor. 

 

Subscription model reduces the investment costs of IoT deployment 

 

Treon’s solution is provided with a subscription model that includes the Treon Connect platform, sensors, gateways, updates, maintenance, and technical support.  

 

This makes cost planning predictable and removes the need for a large upfront investment. There are no hidden charges for firmware updates or separate licensing for analytics.  

 

For large enterprises, this also reduces the procurement complexity compared to patching together hardware, software, and services from multiple vendors.   

 

The most common pain points of large scale IoT deployments 

 

Finally, let’s review the most common challenges in massive scale IoT deployments and how they can be overcome using Treon’s solutions as examples.

 

Physical installation 
  • Challenge: Physical installation and onboarding take time and resources. 
  • Solution: Wireless, battery-powered sensors require no cables, simply glue or mount the sensor in place. Tools like Treon Connect, NFC setup, and plug-and-play mesh network reduce deployment time to minutes per sensor. 
Troubleshooting 
  • Challenge: Diagnosing issues in large networks is time-consuming. 
  • Solution: A platform like Treon Connect provides complete visibility into sensor status, radio link quality, and data flow, allowing for quick identification and resolution of problems. 
Device and network management 
  • Challenge: Managing thousands of sensors is complex. 
  • Solution: A unified dashboard shows each device’s health, firmware version, battery level, and placement in the mesh network. 
Data management and integration 
  • Challenge: Harmonizing and making sense of data from different sources. 
  • Solution: Sensors transmit pre-processed data. Treon Connect supports integration with external platforms and offers role-based access control for secure sharing. 
Security and compliance 
  • Challenge: Ensuring the system meets enterprise-grade security standards. 
  • Solution: The IoT platform should ensure that all communications are encrypted, role-based access is enforced, and enterprise authentication systems can be integrated. 
Cost efficiency 
  • Challenge: High upfront and operational costs. 
  • Solution: Battery-powered, wireless sensors avoid rewiring costs and fast onboarding saves on labor. A subscription model provides all the relevant components needed for condition monitoring and removes the need for upfront investments. 
Vendor management 
  • Challenge: IoT projects often involve multiple vendors with overlapping responsibilities. 
  • Solution: Treon offers end-to-end support from hardware and connectivity to analytics, ensuring consistent quality and accountability. 
Massive scale IoT deployments made easy with Treon Connect

 

Massive scale IoT no longer needs to be daunting, risky, or costly. With the right architecture, tools, and partners, you can deploy hundreds of sensors quickly, monitor assets in real-time, and reduce both downtime and operating costs. 

 

Treon Connect is a scalable, AI-powered IoT solution that can integrate with any systems you are already using. As a powerful management platform it removes the friction from massive scale IoT deployments and ensures long-term value. 

 

Whether you’re monitoring conveyor belt motors, industrial pumps, or vehicles in a port terminal, we have the expertise to help you make IoT deployments successful – at scale. 

 

Get in touch to discuss how Treon can support your next IoT deployment!

 

 

 

Treon Connect Solutions
Explore our solutions

For Material Handling

Treon Flow

Treon Flow is an AI-powered, mobile-first solution which provides insights into asset health, enabling businesses to reduce downtime and optimize maintenance schedules.

Treon Make

For Manufacturing

Treon Make

Treon Make enables intelligent prescriptive maintenance for critical equipment, identifying issues before they occur, extending asset life. and reducing maintenance costs.

Treon Move

for vehicle monitoring

Treon Move

Treon Move empowers you to gain complete fleet visibility, streamlining maintenance workflows, reducing downtime, and extending vehicle utilization. 

Unlocking Industry 4.0: The Role of Operational Technology in Digital Transformation

Unlocking Industry 4.0: The Role of Operational Technology in Digital Transformation

Imagine a factory humming with potential, yet held back by outdated systems and fragmented data. When systems struggle to communicate, critical tasks like risk management and quality control often fall through the cracks. Without seamless access to real-time data, decision-making becomes less certain, and strategic planning becomes more difficult. The result? Lost time, missed opportunities, and a notable dip in productivity.

 

Fragmented systems complicate everything—from decision-making to daily operations. In the age of Industry 4.0, these challenges can hinder progress.

 

The cost of IoT challenges – and the risks of ignoring them
 

Deploying IoT across multiple solutions comes with its own set of challenges:

  • Management complexity: Coordinating multiple vendors and verticals can be overwhelming.
  • Operational fragmentation: A disjointed approach hampers efficiency, underscoring the need for a unified solution.

But what’s the price of ignoring these issues?

  • Since 2010, $35 trillion has been spent on IT products and services, according to Statista. Of that, 75% was allocated to maintaining outdated systems, while $2.5 trillion was designated for replacements—$720 billion of which was lost on failed efforts.
  • Companies spend around $300 billion each year just to keep legacy systems running, according to Stripe and Harris poll.
  • More than 70% of companies find it difficult to implement and scale advanced technologies in a way that delivers significant improvement in return on investment or operational key performance indicators (KPIs).

The stakes, however, are higher than mere financial costs. As digital transformation speeds up, IoT integrations need top-notch cybersecurity to avoid costly breaches and the kind of reputational damage that’s hard to recover from.

 

Conquering the data integration challenge?

 

For companies with outdated systems, integrating data from multiple sources can feel like assembling a jigsaw puzzle with missing pieces. A large share of enterprise data goes unused, leaving valuable insights untapped.

 

This complexity slows down digital transformation and prevents companies from fully embracing the opportunities of Industry 4.0. Without access to real-time data, decision-making can feel like a shot in the dark, and strategic planning is clouded with uncertainty.

 

Addressing these integration challenges is key for businesses looking to move beyond outdated systems. By overcoming these hurdles, organizations can unlock real-time data, streamline operations, and stay competitive in the era of Industry 4.0.

 

Breaking free from legacy systems and the skills bottleneck?

 

Old habits—and even older technology—are tough to shake. Many companies still rely on legacy systems and traditional practices, slowing their path to digital maturity.

 

Manufacturers are struggling to attract skilled talent, which slows down digital transformation efforts. These outdated systems and practices predate IoT, driving up costs and delaying essential projects.

 

The result is clear: underperforming equipment, wasted energy, and decision-making hindered by a lack of actionable insights. To thrive and unlock the full potential of Industry 4.0, businesses must address these challenges head-on:

  • Outdated techLegacy systems limit flexibility and growth.
  • High upgrade costs: Expensive overhauls can block innovation.
  • Skill gaps: A lack of skilled talent hinders progress.
  • Operational inefficienciesWasted resources and missed opportunities for improvement.
The false economy of short-term thinking?

 

In an effort to cut costs, companies sometimes make the mistake of prioritizing short-term savings over long-term growth—a classic case of focusing too much on immediate financial gains, to the detriment of future success. When the emphasis is on reducing costs today, the foundation for tomorrow starts to weaken:

 

  • Archaic systems: Delaying necessary upgrades keeps businesses stuck with technology that can’t keep pace.
  • Limited flexibility: Short-term fixes lock companies into rigid systems, limiting their ability to adapt to a changing market.
  • Missed innovation: Focusing only on quick wins can blind companies to transformative ideas, leaving growth potential untapped.
Smashing silos and breaking down integration barriers?

 

Siloed systems in IT and OT create significant barriers to scalability and integration. These gaps force businesses into inefficient manual workflows and expose them to security risks. These roadblocks prevent companies from realizing the full potential of digital transformation.

 

To tackle these issues, many organizations are adopting hybrid solutions that blend cloud technologies with on-premise systems. This allows businesses to gradually modernize without the need for a full system overhaul. Edge computing is another emerging approach, enabling data processing closer to the source, reducing latency, and improving real-time decision-making. Additionally, businesses are leveraging AI-driven analytics platforms to unify disparate data streams and extract actionable insights from legacy systems.

 

Standardizing communication protocols and investing in Industrial IoT (IIoT) platforms are also helping bridge the gap between operational technology (OT) and information technology (IT). These platforms serve as a foundation for predictive maintenance, remote monitoring, and overall operational efficiency. The key is finding scalable, secure solutions that minimize disruption while maximizing the value of existing infrastructure.

 

Treon Connect – A unified approach to digital transformation?

 

Treon Connect tackles these challenges head-on by smoothly integrating with business systems, creating a unified operational environment with the first use cases being condition monitoring and fleet management. Furthermore, Treon operates according to its ISO 27001 certification and ensures data security while enabling insights and automation to optimize maintenance, enhance safety, and improve energy consumption.

 

By bridging gaps between siloed systems, organizations can streamline processes, reduce risks, and unlock their full potential in the era of Industry 4.0.

 

Companies embracing digital transformation with Treon Connect won’t just adapt—they’ll lead, redefining industries with smarter, more secure, and innovative solutions.

Treon Connect Solutions
Explore our solutions

For Material Handling

Treon Flow

Treon Flow is an AI-powered, mobile-first solution which provides insights into asset health, enabling businesses to reduce downtime and optimize maintenance schedules.

Treon Make

For Manufacturing

Treon Make

Treon Make enables intelligent prescriptive maintenance for critical equipment, identifying issues before they occur, extending asset life. and reducing maintenance costs.

Treon Move

for vehicle monitoring

Treon Move

Treon Move empowers you to gain complete fleet visibility, streamlining maintenance workflows, reducing downtime, and extending vehicle utilization. 

Ensuring Secure Data-driven Operations: Treon‘s Security Measures in IoT Deployments

Ensuring Secure Data-driven Operations: Treon‘s Security Measures in IoT Deployments

At Treon, we emphasize the most-recognized standards of cybersecurity requirements and safeguards in Operational Technology (OT). The Treon Connect platform enables seamless integration of devices, networks, and cloud systems, ensuring robust security across the entire ecosystem – from device-level data acquisition to cloud-based management and analysis. In this article, we will explore Treon’s strict security measures and why these are crucial for any Industrial, and Internet of Things (IoT) use cases.

 
Why is cybersecurity critical in IoT?

 

With over 25 billion IoT devices expected to be deployed by 2030, the Industrial IoT (IIoT) is a major driver of this growth. In this dynamic landscape, Treon emphasizes the most-recognized standards of cybersecurity requirements and safeguards, especially in the context of IoT and IIoT:

  • Increased connectivity: IoT ecosystems involve thousands of interconnected devices. Treon’s cybersecurity measures ensure comprehensive protection, covering all devices, systems, and the cloud, to prevent vulnerabilities arising from this extensive connectivity.

     

  • Data exchange: Sensitive data flows between IoT devices and the backend, including proprietary information. Treon implements robust security measures to safeguard this data, preventing potential compromises and ensuring the confidentiality and integrity of information.

     

  • Data storage and backup: Reliable procedures are crucial to ensure data integrity and prevent data loss. Treon employs stringent storage and backup protocols to maintain data availability and security. 
What are typical security vulnerabilities in IoT?

 

The larger the network, the more vulnerable it becomes to potential attacks. Scalability, increased connectivity, and connecting thousands of devices into large IoT ecosystems results in increased data exchange between devices, systems, and the cloud. 

  • Device vulnerabilities: The integrity of devices is crucial to collecting and transmitting data from device to device. IoT devices can be sensitive to code vulnerability attacks, which can lead to malware installation and unauthorized access to critical systems, as they are the source for data acquisition. 
  • Network vulnerabilities: Transmitting data and secure communication requires encryption with advanced systems to keep the data from leaking. 
  • Backend vulnerabilities: The backend infrastructure supporting IoT devices must be reinforced against threats targeting data storage and processing. Inadequate backend security can expose sensitive information to cybercriminals, leading to data breaches or unauthorized access. Implementing robust authentication and authorization protocols and conducting regular security audits is essential to safeguard these systems. 
What common cybersecurity standards and practices are applied in IoT?

 

Standards and frameworks play a vital role in IoT security. They provide guidelines for best practices and compliance safeguarding the use and exchange of data and are implemented for several industries. Standards and practices aim to proactively detect threats and reactively apply measures to reduce the size of the attack surface. Key standards Treon refers to ensure cybersecurity include:

  • ISO/IEC certification: ISO 27001 is an international standard for information security management, offering a framework for organizations to safeguard sensitive information and ensure confidentiality, integrity, and availability. By attaining this certification, Treon underscores its commitment to secure data handling and strengthens confidence in its cybersecurity practices.

     

  • NIST framework: The National Institute of Standards and Technology (NIST) provides a framework for improving critical infrastructure cybersecurity including standards, guidelines, and practices to manage and reduce cybersecurity risks. Treon’s deploys wireless networks which adhere to the NIST recommended, industry-standard AES-128 encryption. 
  • ISA/IEC 62443: This standard focuses explicitly on industrial automation security, providing a comprehensive approach to secure IIoT devices, networks, and data exchange in the industrial context.

     

  • EU Cyber Resilience Act (CRA): This European legislation aims to enhance cybersecurity across the EU by enforcing stricter standards for all products with digital elements, Treon closely follows the development of those recommended cybersecurity measures throughout its products lifecycles, ensuring safer software and hardware for users.  
  • Regular updates: To maintain the security and functionality of IoT systems, regular updates are crucial to mitigate potential vulnerabilities. Treon’s software and firmware updates include patches that fix security flaws, enhancements, and new features that can improve product performance and interoperability. Additionally, each update is signed with Treon’s private key and verified against a public key.

     

  • Own Public Key Infrastructure (PKI): Utilizing PKIs ensures that the updates are authentic and have not been tampered with and beyond that proving Treon device identity The X.509 certificate fortifies device security and helps uphold the integrity of the IoT ecosystem, ensuring that sensitive data remains protected and the network functions optimally.
  • GDPR (General Data Protection Regulation): This data protection regulation establishes critical guidelines for secure data handling and privacy, which are essential for protection of data processed by Treon solutions.

     

  • Multi-Factor Authentication (MFA): The implementation of multi-factor authentication significantly reduces the risk of unauthorized access. 
  • Regular updates: To maintain the security and functionality of IoT systems, regular updates are crucial to mitigate potential vulnerabilities. Treon’s software and firmware updates include patches that fix security flaws, enhancements, and new features that can improve product performance and interoperability. Additionally, each update is signed with Treon’s private key and verified against a public key.

     

     

  • Own Public Key Infrastructure (PKI): Utilizing PKIs ensures that the updates are authentic and have not been tampered with and beyond that proving Treon device identity The X.509 certificate fortifies device security and helps uphold the integrity of the IoT ecosystem, ensuring that sensitive data remains protected and the network functions optimally.

 

By adhering to these standards, organizations can enhance their cybersecurity posture and ensure robust protection against evolving threats in the IoT landscape. When developing a new offering, companies should not only pay attention to awarded certifications, but also technical requirements for secure interoperability.  

 
How to send data securely from devices to the cloud?

 

Leveraging industry standards and best practices Treon emphasizes the end-to-end encryption and ensures that sensitive information is transmitted securely, reinforcing the resilience of its IoT ecosystem against potential cyber threats.

 

  • Encrypted communication between devices: Inter device radio communication is encrypted by protocols. For example, Advanced Encryption Standard (AES-128) on the Wirepas mesh network is used to send both data transmission and network signaling data securely between Treon sensors and gateways.  
  • Encrypted communication between devices and the cloud: Safeguarding data transmission between Treon Gateway and the backend Treon deploys a lightweight Message Queuing Telemetry Transport (MQTT), or Hypertext Transfer Protocol (HTTP). All communication is protected by Transport Layer Security (TLS) version 1.2 or higher to establish a secure channel. 
What to consider when selecting an IoT solution provider?

 

Besides certifications, standards and technical requirements, choosing a provider also involves evaluating their expertise. When selecting an IoT solution provider, these key factors should be considered:

  • Software Integrity: Prioritize providers that offer top-notch software maintenance and integrity. 

  • Secure Communication: Ensure that they provide secure communication across all devices, networks, and backend systems. 

  • Data Ownership and Storage: Check their data ownership policies and storage options, whether you’re looking for cloud or on-premises deployment. 

  • Security Standards and Certifications: Choose providers who comply with industry security standards and follow relevant certifications. 

  • Industry Expertise: Confirm that the provider has deep expertise in your specific industry and understands relevant protocols. 
Treon Connect middleware – the backbone of secure IoT deployments with Treon Connect?

 

Treon offers comprehensive cybersecurity solutions for IoT ecosystems, ensuring secure, scalable deployments. Treon Connect middleware is the backbone of the platform and provides end-to-end communication security using X.509, TLS, MQTT, HTTP, and wireless networks. Regular updates address vulnerabilities, and the ISO 27001 certification guarantees robust information security management. With their own private key infrastructure and device authentication mechanisms, Treon ensures enhanced security across thousands of connected devices. Trusted by global leaders across the domains of industrial, logistics, and digital buildings, and more Treon is positioned as a reliable and secure partner for IoT solutions.

 

As the IoT continues to evolve, cybersecurity must remain the top priority. With its robust security features, Treon is well-equipped to help customers navigate the cybersecurity challenges of the IoT era. By securing our IoT solutions, we can fully harness the potential of IoT while safeguarding data and operations. 

 

Condition Monitoring with Treon ATEX, IECEx, and HazLoc Certified Sensors in Potentially Hazardous Areas

Condition Monitoring with Treon ATEX, IECEx, and HazLoc Certified Sensors in Potentially Hazardous Areas

Ensuring safe and efficient operations is paramount, especially in environments where hazardous substances could ignite. Wireless vibration sensors, specifically designed and certified for potentially hazardous environments, play a pivotal role in condition monitoring where explosive materials present significant risk. Treon Industrial Node 6 Ex, an ATEX, IECEx, and HazLoc certified sensor, allows for precise condition monitoring through vibration and temperature measurements. This contributes to safe operations by minimizing the risk of igniting hazardous substances. These certified sensors provide essential data for monitoring asset health, optimizing availability, and preventing unexpected equipment failures, all while adhering to safety standards and safeguarding personnel and the environment.

 

Industries benefiting from sensors in hazardous areas

 

Several industries, such as oil and gas, chemical, pharmaceuticals, energy, manufacturing and logistics, and food and beverages may require the use of ATEX, IECE, HazLoc certified sensors in hazardous areas for condition monitoring. In sectors such as oil and gas, sensors in hazardous areas play a pivotal role in safeguarding the operation of pumps, motors, compressors, and turbines. Similarly, in chemical plants, sensors in hazardous areas are essential for monitoring to prevent potential leaks. In manufacturing and logistics, these sensors oversee the smooth functioning of conveyor belts and equipment, enhancing operational safety.

 

Pharmaceutical manufacturing relies heavily on sensors in hazardous areas to ensure compliance with safety standards. Even the food and beverages industry find sensors in hazardous areas invaluable for managing flammable substances and ensuring the safety of production processes. In the energy sector, sensors in hazardous areas are indispensable for monitoring engines and systems, ensuring optimal performance and safety.

 

Across all these diverse industries, sensors in hazardous areas, such as ATEX-certified sensors, bridge the gap between safety regulations and operational efficiency. However, it’s crucial to note that specific requirements may vary based on the environment, highlighting the importance of expert assessment in selecting the appropriate sensors for designated hazardous areas.

 

Navigating safety measures in hazardous areas

 

Potentially explosive atmospheres are divided into zones to account for different levels of risk as illustrated in figure 1 below. This classification allows explosion protection measures to be tailored for both safety engineering and economic efficiency.

 

Safe operation of electrical equipment in these environments relies on a collaborative effort between manufacturers of explosion-protected equipment and operators of industrial plants. These areas contain air filled with potentially flammable substances such as gas, vapor, dust, or mist. To manage risks effectively, hazardous atmospheres are meticulously classified for gas and dust into specific zones.

 

Gas and dust hazard zones

 

Gas zones:

  • Zone 0: Environments constantly or frequently filled with flammable substances.
  •  Zone 1: Areas where flammable substances may appear occasionally during regular operations.
  • Zone 2: Areas where the mixture of air and flammable substances is not typically anticipated during normal operations.

Dust zones:

  • Zone 20: Environments where combustible dust particles are consistently present.
  • Zone 21: Areas where combustible dust may arise during regular operations.
  • Zone 22: Areas where combustible dust is not typically expected during standard operations.

Safety experts start by classifying floor plans to identify hazardous areas and their corresponding zones. Beyond hazardous zones, they also identify non-hazard areas suitable for standard sensor deployment. This comprehensive approach ensures all safety measures are effectively tailored to each environment’s unique requirements.

 

Standards for hazardous environments

 

Ensuring safety in hazardous environments involves adherence to various standards:

1. ATEX (Atmosphères Explosibles) 

  • Used in the EU for areas with explosive atmospheres.
  • Zones: 0, 1, 2 (gases); 20, 21, 22 (dust).
  • Certification required for equipment in the EU.

2. IECEx

  •  Global certification system for hazardous locations.
  • Accepted internationally; some countries require additional approvals.
  • Classifies locations into zones similar to ATEX.

3. HazLoc

  • Used in the US and Canada.
  • Two classification methods: Class/Division and Zone system.
  • Based on CSA (Canada) and UL (US) standards.
  • Transitioning to IECEx, with Canada using the Zone system for new installations.
Treon Industrial Node 6 Ex: ATEX, IECEx, and HazLoc certified sensor

 

Treon Industrial Node 6 Ex is certified for use in Zone 1 and 2 of potentially hazardous areas and Zone 21 and Zone 22 for dust areas, boasting ATEX, IECEx, and HazLoc certificates. Its patented technology, guarded by US Patent 11656239, sets it apart from competitors, ensuring exceptional performance and reliability.

This wireless sensor measures tri-axial vibration and surface temperature of rotating equipment, including pumps, motors, and compressors. It is designed to be deployed in potentially hazardous locations, meeting IEC/UL/CSA 60079-0 and IEC/UL/CSA 60079-11 standards. Additionally, it complies with UL 61010-1 and CSA C22.2 general safety standards, which cover the use of the Treon Industrial Node 6 Ex in outdoor, non-hazardous environments.

 

 

Decoding ATEX and IECEx label of Treon Industrial Node 6 Ex: A compliance and safety guide

 

Throughout multiple industries, ensuring the safety of equipment used in explosive environments is paramount. In this guide, we’ll explore the certifications listed on Treon Industrial Node 6 Ex certification markings (see figure 3), focusing on what each part of these ATEX and IECEx standards means for compliance and safety.
Understanding the markings:

 

1. II 2 G Ex ib IIC T4 Gb
  •  Group and category: ‘II’ indicates ATEX Equipment Group II. Equipment in this group is intended for all areas except mines where explosive atmospheres due to gases, vapors, mists, or air/dust are present. ‘2 G’ indicates the equipment category designed for use in Zone 1, where flammable substances are in the form of gases, mists, or vapors.
  • Protection method: ‘Ex ib’ indicates explosion protection. ‘I’ signifies intrinsically safe equipment, which allows for safe operation in hazardous areas by limiting the electrical or thermal energy available for ignition. ‘b’ indicates the product is classified for Zone 1.
  • Explosion group: ‘IIC’ means the device is suitable for gases, mists, and vapors from explosion groups IIA, IIB, and IIC.
  • Temperature class: ‘T4’ denotes that the equipment’s surface temperature will not exceed 135°C.
  • Protection level: ‘Gb’ indicates the equipment protection level for Zone 1 for gases, mists, and vapors.
2. II 2 D Ex ib IIIC T135°C Db
  •  Category: ‘2 D’ indicates the equipment category designed for use in Zone 21, where flammable substances are in the form of dust.
  • Explosion group: ‘IIIC’ covers dust codes IIIC, suitable for conductive dust, and non-conductive dust.
  • Temperature limit: ‘T135°C’ shows the maximum surface temperature the equipment can reach.
  • Protection level: ‘Db’ indicates the equipment protection level for Zone 21 for dust.
3. Ambient temperature range

-40°C ≤ Ta ≤ +60°C: This specifies the ambient temperature range within which the equipment can safely operate, from -40°C to +60°C. Additionally, the surface mounting temperature of the device must not exceed +60°C.

 

4.Class/Divisions

Treon Industrial Node 6 Ex is certified for the Class/Division and Zone systems in the US and Canada, as indicated by the markings referred to in Figure 3.
In conclusion, utilizing certified sensors such as the Treon Industrial Node 6 Ex in hazardous environments is primarily a matter of compliance with safety regulations, and it can play a vital role in enhancing operational safety and efficiency. These sensors are specifically designed to operate within hazardous areas, enabling wireless monitoring of assets in environments where safety is paramount. Adopting such advanced technologies reflects an organization’s commitment to safety, equipment longevity, and environmental protection, ultimately contributing to a culture of responsibility and innovation in the face of inherent dangers.

 

Certification details:

 

• EU-Type Examination Certificate Number: EESF 21 ATEX 014X
• IECEx Certificate Number: IECEx EESF 21.0009X
• MET Listing Number: E115489

 

Are Wireless Sensors Replacing Vibration Technicians?

Are Wireless Sensors Replacing Vibration Technicians?

The rise of AI and wireless sensors marks a significant evolution in predictive maintenance and condition monitoring, prompting a critical question: does the advancement of wireless technology and AI signal the end for vibration technicians?

 

The answer isn’t that simple.

 

This evolution is happening in the context of a skilled labor shortage that is necessary for the effective execution of predictive maintenance and condition monitoring of assets. This gap in expertise not only hinders the implementation of crucial programs but also limits the ability of organizations to monitor and maintain their assets efficiently. To tackle these challenges, the industry is increasingly adopting innovative solutions, primarily leveraging AI technology powered by wireless condition monitoring. These services extend the capabilities of internal resources, allowing for the cost-effective monitoring of a greater number of assets.

 

Bridging the skills gap with AI

 

The introduction of AI in analyzing vibration data is becoming a primary solution to the skilled labor shortage, reducing the need for extensive human analysis. The integration of AI predictive maintenance technology, which utilizes advanced analytics and diagnostic libraries capable of forecasting machine faults before they occur, empowers organizations to initiate, expand, or sustain their condition monitoring efforts, even amidst ongoing labor shortages.

 

The expansion of AI within the industry is anticipated to unfold in two main directions. First, AI applications that enhance the decision-making capabilities of skilled users will become more widespread, enabling more efficient and effective maintenance strategies. Secondly, introducing AI tools that can provide guidance and insights to operators, technicians, and other staff will help bridge the gap when there’s a change in the workforce, such as when seasoned employees retire. This approach ensures that the quality and efficiency of work remain consistent, even with new personnel stepping in.

 

Enhancing data collection with wireless sensors

 

Wireless vibration sensors contribute to this evolving landscape by making it more feasible to collect data from a broader range of equipment. Although they may reduce the need for manual, handheld measurements traditionally performed by technicians, wireless sensors emerge as a cost-effective solution for monitoring medium and less critical assets. Historically, these assets were either neglected, relying on a run-to-failure strategy, or only received attention during periodic checks by external service providers. However, in contrast to these outdated methods, including the labor-intensive ‘walking-the-route’ approach, wireless sensors provide a continuous, around-the-clock stream of data if needed. This not only enhances the frequency and reliability of the information available for analysis but also represents a significant leap in efficiency and effectiveness in equipment monitoring.

 

Synergizing technology and expertise

 

The synergy of AI-driven analytics with wireless sensors represents a leap forward in maintenance strategies. AI, as the primary driver, excels in processing the data collected, identifying faults, and predicting potential failures, thereby optimizing operational efficiency. Wireless sensors play a supportive role by ensuring a continuous flow of data, especially from areas previously inaccessible or not monitored continuously. The combination of these two technologies provides the resources for a more comprehensive and efficient predictive maintenance program, enabling organizations to mitigate risks, minimize downtime, and reduce overall costs.

 

So, are wireless sensors and AI replacing vibration technicians?

 

Based on feedback and input from our customers, it appears that wireless sensors, complemented by the analytical capabilities of AI, are not here to replace vibration technicians but to enhance their effectiveness and efficiency. By integrating this advanced technology with AI’s data analysis skills and the invaluable insights of skilled technicians, the industry is well-equipped to tackle the challenges of today and seize the opportunities of tomorrow. This synergistic approach represents a future where technology and human expertise bolster each other, fostering a more efficient and proactive maintenance environment.

 

Wirepas Mesh Networks for Robust, Large-scale IoT Deployments

Wirepas Mesh Networks for Robust, Large-scale IoT Deployments

In the dynamic world of IoT, the adoption of Wirepas Mesh networks marks a significant shift in device connectivity, offering a new level of scalability, reliability, and versatility. This technology stands out in the complex IoT landscape, providing a robust solution for efficient and reliable device communication. As we delve into the capabilities of Wirepas Mesh, its role in advancing IoT connectivity becomes clear, reshaping expectations and setting new standards in the industry.

 

What is a Wirepas Mesh network?

 

Wirepas Mesh Network is a cutting-edge connectivity framework designed specifically for the IoT domain. It distinguishes itself through its scalability, allowing for extensive networks that can encompass hundreds to thousands of devices within a single Mesh network. This capability makes it an ideal choice for massive IoT deployments, pushing the boundaries of what’s considered possible in terms of network size and device density.

 

How does Wirepas Mesh work?

 

At the heart of Wirepas Mesh’s functionality is its decentralized operation. Unlike traditional networks that rely on a central hub to manage communication, Wirepas Mesh empowers each device within the network to make its own decisions. This approach enhances the network’s overall efficiency, extends battery life, and reduces the need for extensive infrastructure, making deployment straightforward and cost-effective.

 

What are Wirepas connectivity protocols?

 

Wirepas Mesh protocols are based on Bluetooth technology, adding a layer of Wirepas intelligence to support various bandwidth, adapting to a wide range of IoT applications. The flexibility of these protocols allows for customization of bandwidth, latency, range, and power consumption to meet specific requirements. Operating on 2.4 GHz frequency band, Wirepas Mesh ensures wide compatibility and efficient use in diverse environments. Notably, Wirepas Mesh operates without interference, even in highly congested areas, due to its smart frequency and bandwidth adjustments, ensuring a resilient network setup. Such flexibility is crucial for ensuring that the network can support different IoT use cases, from smart buildings to industrial monitoring systems.

 

How many devices can one Wirepas network support?

 

One of the most impressive aspects of Wirepas Mesh is its capability to support an unlimited number of devices within a single network. This claim is not just theoretical; it’s been practically demonstrated by Wirepas having deployed one of the largest networks globally, which includes 920,000 devices in a single Mesh network. This network not only showcases the scalability of Wirepas Mesh but also its ability to reach an ultra-high-density of 1000 devices per cubic meter, highlighting the system’s capacity to handle dense and extensive IoT applications efficiently. This unparalleled scalability ensures that Wirepas Mesh networks can grow with the demands of any IoT application, making it a future-proof choice for developers and businesses looking to invest in IoT infrastructure.

 

What makes Wirepas Mesh secure?

 

Security in IoT networks is of paramount importance, and Wirepas Mesh addresses this concern with robust encryption and authentication mechanisms. Each message within the network is encrypted and authenticated, ensuring that only authorized devices can join and communicate within the network. This level of security is crucial for preventing unauthorized access and safeguarding sensitive data.

 

How does Treon utilize Wirepas Mesh in IoT solutions?

 

Treon use Wirepas Mesh 2.4 GHz technology in its solutions, where sensors and gateways form part of a Wirepas Mesh network. This network can include hundreds of sensors and multiple gateways, all designed to measure and route data efficiently. With no need for centralized network management, the devices autonomously establish connections and determine the most effective pathways for data transmission to the gateways. Then, data is relayed from the gateways to the customer’s backend system, ensuring smooth integration with applications such as predictive maintenance software, whether through wireless or wired connections.

 

How many sensors can a single gateway/network support?

 

The number of sensors that can be connected to a gateway varies based on the data requirements. With minimal data transmission, such as temperature readings, a gateway can support up to 150 nodes. However, for more data-intensive applications, this number might be reduced to around 10 sensors per gateway. Wirepas Mesh is designed to accommodate large networks of sensors, making it suitable for dense IoT environments like smart buildings and manufacturing.

 

What’s the maximum distance for node-to-node and node-to-gateway connections?

 

Wirepas Mesh is optimized for ensuring reliable connections within short-range, high-density settings. The connectivity distances can vary depending on the environment. In line-of-sight conditions, connections can be maintained for up to 60-80 meters, but in more challenging settings, such as industrial areas, this distance may need to be reduced to just tens of meters.

 

Does other 2.4GHz radios interfere with Wirepas performance?

 

Wirepas Mesh employs a channel hopping mechanism and operates across all 40 BLE channels to minimize interference from other 2.4GHz devices. Its decentralized nature contributes to network stability, ensuring dependable IoT connectivity even in environments with significant 2.4GHz radio traffic.

 

In conclusion, Wirepas Mesh networks offer a compelling solution for IoT connectivity, characterized by their scalability, efficiency, and security. As the IoT landscape continues to evolve, technologies like Wirepas Mesh will play a crucial role in enabling the next generation of smart, connected devices. empowers our partners to manage their devices more effectively.

 

For more detailed insights into Wirepas Mesh visit the Wirepas website.

Valpas Ensures Bug-free Bed Hotels With a Robust Wireless Ecosystem

Valpas Ensures Bug-free Bed Hotels With a Robust Wireless Ecosystem

Over the past few months, a growing menace has gripped European cities, a threat so insidious that the media has called it the “bed bug panic.” From the enchanting streets of Paris to the bustling avenues of countless metropolises, these tiny, bloodthirsty intruders have taken hold, threatening to spread their scourge across borders.

 

But in this tale of parasitic pests, one of our partners emerges with a game-changing solution: Valpas.

 

Goodbye pest control. Hello Valpas!

 

Valpas is a pioneer in the hospitality industry, transforming the way hotels approach pest control, especially the relentless bed bug pandemic. Through cutting-edge wireless technology, Valpas has redefined the safety and hygiene standards of hotels, ensuring a bed bug-free stay for every guest.

 

The bed bug battle plan: How does it work?

 

Valpas’s bed bug prevention system is brilliantly designed with maximal safety and usability in mind. The process is simple yet effective.

 

  • Detection: Valpas’s solution involves smart bed legs developed with Haltian that capture and detect bed bugs. Treon Aito Platform running on Treon Gateway gives the gateway the capability of connecting third-party sensors. As a result, the sensors developed by Haltian, connects to Treon Gateway and transmits data seamlessly. Notably, these legs sensors are unobtrusive and blend seamlessly with the hotel’s decor.

  • Wireless alerts: Once a bed bug is detected, the sensor sends an immediate wireless alert using Wirepas Mesh to Treon Gateway.

  • Cloud monitoring: Treon Gateway collects wireless data and transmits it to Valpas cloud backend. Valpas dashboard then enables hotel staff to efficiently monitor room statuses and receive notifications for cleaning professionals.

A renaissance for hotel owners

 

For hotel owners, Valpas is a game-changer that unlocks a range of distinct advantages, offering a multifaceted solution that reaps numerous benefits. The system acts as a shield against substantial financial losses and safeguards hotels’ reputations from the detrimental effects of bed bug infestation. Furthermore, it prioritizes guest satisfaction by providing an environment free of bed bugs, resulting in satisfied guests and positive reviews. Last but not least, Valpas’s wireless monitoring solutions revolutionize pest control, reducing harmful pesticides, and contributing to a sustainable future.

 

Peace of mind for travelers

 

Meanwhile, travelers are taking a proactive approach, frequently researching bed bug prevention solutions prior to their trips. According to numerous online reviews, guests express increased confidence in hotels that employ effective pest control solutions.
Valpas platform has integrated with leading travel marketplaces, enabling the verification of a hotel’s bed bug safety status by confirming the presence of Valpas in all their rooms. This verification ensures a worry-free, bed bug-free environment, promising guests pristine cleanliness, an exceptionally pleasant stay, and the peace of mind they rightfully expect.

 

In the battle against bed bugs, Valpas has created the perfect solution by building an effective ecosystem that combines Haltian IoT sensors, Treon’s edge capabilities in Treon Gateway, and connects them using Wirepas Mesh network. This exemplifies an innovative partnership that is transforming the hospitality industry, establishing new standards in safety, sustainability, and guest satisfaction.

 

Optimizing Performance While Maximizing Battery Life for Treon Industrial Node 6

Optimizing Performance While Maximizing Battery Life for Treon Industrial Node 6

In the world of wireless battery-operated sensors, various factors influence sensor performance, with battery life being an important factor. While typical IoT sensors offer a lifespan of multiple years, it’s essential to understand the factors that impact battery longevity. But what are these variables, and how can we predict and optimize the battery life of wireless sensors? In this blog, we will delve into the different variables that affect the battery life of the Treon Industrial Node 6. We’ll also explain how we assist our partners in finding the sweet spot between battery life and performance, empowering them to create customized services while meeting their battery life targets.

 

Ambient temperature

 

Treon Industrial Node 6 is designed to operate effectively in a broad temperature range, spanning from -40°C to +60°C in hazardous environments, and up to +85°C in non-hazardous environments. However, it’s important to note that both the ambient temperature where the sensors are installed, and the surface mounting temperature, have a direct impact on battery life. The principle is straightforward: higher temperatures result in shorter battery life. In hotter conditions, the device’s electronics consume more power. At the same time, the available capacity from the battery decreases.

 

For instance, consider this: if you achieve a battery life of over five years at an average ambient temperature of 25°C, the same usage profile at +70°C could cut the battery life in half. This highlights the significance of considering ambient temperature when optimizing the performance and longevity of Treon sensors.

Update frequency

 

Treon partners often have varying requirements regarding the frequency at which they receive vibration and temperature data from sensors. It’s essential to note that more frequent updates result in higher power consumption due increased use of wireless radio. This increased energy usage accelerates battery depletion, ultimately reducing the sensor’s overall battery lifespan. However, it’s not just about data collection frequency; data processing is also a crucial factor worth considering.

 

Data processing

 

When considering the kind of data our partners need, several factors come into play. Are they interested in acceleration or velocity-based key performance indicators (KPIs)? Do they intend to filter data to specific frequency range or perform multiple FFT calculations with linear averaging? Is data decimation necessary or not? With Treon sensors offering a wide range of edge processing capabilities and full configurability for our partners, power consumption can vary significantly depending on how much signal processing and calculations are done within the sensor. The complexity of the processing also matters; the more complex it is, the longer the active periods for sensors microprocessor are. In short, the more processor usage, the more energy is consumed.

 

Still, it’s often smarter to process data in the sensor itself and send calculated KPIs or FFTs rather than transmit large volumes of waveform data to the backend.

 

Sending data

 

When it comes to transmitting data, the frequency and type of data sent both factor into power consumption. For example, sending key performance indicators (KPIs), which constitute a minimal amount of data, has a much lesser impact on power consumption compared to sending large quantity of waveform data. Interestingly, waveform data possesses unique characteristics: it consumes minimal power for processing within the sensor but demands considerably more energy when transmitted wirelessly. In fact, the size of waveform data can be up to 1000 times larger than KPI data.

 

Amount of measurement samples

 

The length of the vibration measurement sample has a significant impact to power consumption; affecting not only the size of data transmission when sending a waveform but also the energy needed for on-device processing.

For instance, if you reduce the sample amount used for signal processing and calculations to 50% of the maximum, you’ll notice a significant reduction in power consumption. This simple adjustment can have a substantial impact, potentially extending your device’s battery life by up to a year.

 

It’s a simple equation: Processing or sending more samples translates to a higher battery consumption. Therefore, optimizing sample size can be a powerful strategy for conserving energy and maximizing the operational lifespan of your device.

 

Routing

 

In a mesh network, wireless devices collaborate to extend coverage and enhance reliability by sharing data through interconnected sensors. Each sensor can measure and transmit data, while also serving as a relay point for data from other sensors to reach Treon Gateway. However, it’s important to note that routing data through sensors consumes power, although not significantly in small networks or when dealing with modest data volumes, such as KPIs.

 

Working with very large mesh networks, particularly when transmitting substantial amounts of waveform data can be more complex. In such scenarios, some sensors positioned at the end of long routing chains may end up routing excessive amounts of data, resulting in a noticeable 10-20% reduction in their battery life.

 

Fortunately, there are effective solutions to address this issue. One option is to add extra gateways to the network. This allows the network to autonomously reorganize itself, optimizing routing paths for sensors and ensuring a more balanced distribution of sensors to multiple gateways. Another approach is to introduce dedicated sensors exclusively for routing, separate from the data measurement responsibilities.

 

 

 
Battery life: How to determine when battery is low

 

Treon partners often ask how to recognize when a sensor’s battery is running low. In response, we offer two approaches. The first involves monitoring the battery voltage, which will decrease as the battery depletes. However, due battery chemistry, the voltage drop occurs only after the battery has been significantly depleted. Relying solely on voltage may result in late warning of low battery.

 

The second approach involves an innovative battery life algorithm integrated into Treon Industrial Nodes. The algorithm continually tracks device usage and ambient temperature. It estimates the remaining battery life and issues alerts to customers accordingly. With this method, Treon partners receive battery alerts with ample time – typically a few months before the sensor requires replacement. This proactive notification empowers our partners to manage their devices more effectively.

 

Overall, the various factors discussed – update frequency, data processing, and sample amount – are variables that Treon partners can directly impact. Our partners have the power to choose measurement sample amount, signal processing, and calculations, thereby strongly influencing their sensors’ battery life for analytics and services. This emphasizes the collaborative partnership between us, Treon, and our partners. By adjusting the configuration to our partners’ needs, we collaborate to strike a balance between battery optimization and data delivery. This partnerships showcases our commitment to technical collaboration, aiding our partners in building their services according to their preferences.