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Bently Nevada joins hands with IoT to reshape industrial automation system

June 12,2025

Introduction

As the Industrial Internet of Things (IIoT) continues to drive changes in the manufacturing field, embedding high-end monitoring equipment such as Bently Nevada into the IoT ecosystem has become a core trend in intelligent asset operation and maintenance. Bently Nevada, which excels in condition monitoring and rotating equipment protection, is now integrating with cloud analysis platforms, real-time communication technologies and wireless connectivity. This technology integration not only significantly improves the transparency and reliability of equipment status, but also provides strong support for predictive maintenance.

 

Real-time insights are possible with IoT connectivity

The key to Bently Nevada's integration with the Internet of Things is its ability to collect high-precision sensor data from equipment and upload it to a central server or cloud platform for real-time analysis. By using industrial communication protocols such as MQTT and OPC UA, its system can be securely and stably connected to the Industrial Internet of Things architecture. Without on-site monitoring, operators can remotely understand equipment vibration, temperature rise and component conditions.

The transition from passive response to active maintenance is precisely due to the introduction of real-time diagnostic capabilities. By deploying IoT gateways and edge computing devices, raw data from Bently Nevada sensors can be processed locally before being transmitted to the cloud analysis system. This mechanism not only reduces information latency, but also improves response speed, thereby helping to optimize the decision-making process.

 

Data analysis helps implement predictive operation and maintenance

Predictive maintenance is no longer a distant idea, but has become an important part of modern industrial operations. Combining Bently Nevada's powerful vibration monitoring capabilities with IoT data processing technology, engineers can predict potential risks before equipment fails. With the help of continuously collected operating data, abnormal pattern analysis, and predictive algorithms, companies can effectively reduce the risk of unplanned downtime and extend the service life of critical assets.

For example, the visualization dashboard built by connecting Bently Nevada's 3500 series monitoring equipment to the cloud platform enables machine learning algorithms to identify signs of early mechanical damage. In this way, maintenance tasks can be scheduled on demand, reducing resource waste and reducing overall maintenance costs.

 

Build a flexible and scalable industrial network system

One of the significant advantages of such integration is that it supports wide deployment and flexible expansion. Today, Bently Nevada devices can achieve high-quality data collection and ensure rapid system response in remote or widely distributed application scenarios, such as offshore oil fields, power plants, and chemical facilities. Wireless sensor networks, combined with edge processing terminals, can monitor locally in real time while maintaining stable communication with the central control system.

In addition, because modern industrial IoT platforms have a highly modular architecture, companies can flexibly increase or decrease monitoring nodes according to the scale of production. With seamless integration with SCADA control systems, ERP resource systems, and digital twin platforms, Bently Nevada's data has become an indispensable source of information in promoting the digital transformation process.

 

Conclusion

The deep integration of Bently Nevada technology with the IoT system is gradually reshaping the development direction of industrial automation. By combining accurate condition monitoring capabilities with the agility and scalability of the IoT platform, companies can not only improve production efficiency and equipment availability, but also realize data-centric intelligent operations. In the future, as the boundaries of industrial intelligence continue to expand, similar integrated solutions will become a key element in building smart industrial infrastructure.

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