The Internet of Things (IoT) has become more than a vision. It is rapidly becoming a reality as more organisations put in place sensor-enabled devices and intelligent systems that connect things with people and processes—to help drive efficiencies and unlock new opportunities.
As the IoT reality takes shape, organisations of all sizes are automating processes, streamlining work, boosting productivity, enhancing customer engagement, getting ahead of inventory issues, proactively maintaining assets, and more.
You predictive maintenance might be constrained if the employees must rely on measurements that are not precise, if the batteries in measuring equipment fail, or if data communications are limited. Today, such constraints are being overcome. New predictive sensors and data analysis software is simplifying condition monitoring and streamlining the process of predictive maintenance.
Companies are using predictive sensors to detect when a critical piece of machinery is close to failing. The small wireless sensors directly monitor the machine. Data generated indicates whether the bearing is about to fail and predicts how long it will last before failure.
The sensors are used to detect impending failure significantly earlier than conventional predictive maintenance programs. The sensors use low-energy Bluetooth and state of art industry 4.0 technology.
The sensor technology is critical because it is small enough and doesn’t interfere with the performance of the bearing itself. The sensors also have the potential for applications in harsh manufacturing environments as well as transportation, distribution and warehouse fleet management.
Battery maintenance can be costly and difficult when condition-monitoring sensors are installed in confined spaces or at remote locations. Replacing old battery-powered sensors with Sensor-Works sensors can eliminate substantial battery and maintenance labour costs and the risk of communication gaps caused by dead batteries.
Data aggregation and analysis
Equipment condition data generated by sensors and other sources is most useful if it can be easily aggregated, analysed and logged. Sensor-Works provide a system that collects and analyses real-time diagnostics from any plant production asset – for example sensors, actuators, motors, dryers and compressors. It captures data originating from an array of sources, including intelligent instrumentation, fluid and vibration analysis, advanced process control and loop tuning software. It then triggers the necessary maintenance, operations or engineering actions based on rules, conditions and customer-defined algorithms and models.
Sensors are decreasing in cost, and increasing in functionality. They are becoming more accurate, more reliable, and easier to install. Modern sensing technology makes it possible to continuously monitor the health of these assets and inform plant personnel when—or even before—problems arise.
Find out more at http://sensor-works.com