What is condition monitoring？
Condition monitoring is the process of monitoring mechanical condition parameters (vibration, humidity, pressure, temperature, etc.) in order to identify differences that indicate the development of faults. It is a key element of effective predictive maintenance. Health monitoring has the unique advantage of spotting conditions that typically shorten normal life, enabling you to address these conditions before they develop into major failures. Condition monitoring technology is commonly used in rotating equipment, auxiliary systems and other machinery (compressors, pumps, motors, internal combustion engines, presses, etc.). Thanks to the interplay of smart sensors, networks, wireless transmission and visualization, condition monitoring can be performed not only continuously, but from anywhere。
Predictive maintenance value
Predictive maintenance system architecture flow
Product introduction
Flexible and intelligent state monitoring of vibration in a very small space: temperature, relative humidity, ambient air pressure. Imagine a machine that can monitor the temperature, humidity, ambient pressure, and vibration of the machine, and can detect errors early on through status data. Condition monitoring is mostly machine learning-based and can be maintained in real time to avoid unexpected downtime. It can also enable the Industrial Internet of Things (IIoT), enabling the status of machines, factories and related components to be recorded, processed and interpreted。
Wireless vibration sensor It can be easily mounted on the metal shell of the equipment by magnetic suction，The real-time acceleration/speed/displacement/temperature signal of the equipment is obtained，And wireless SCADA channel transmission. Data can be seamlessly uploaded to the cloud platform or client host through the self-developed AD hoc networking LoRa gateway and point-to-point gateway。The wireless vibration online monitoring software running on the cloud platform performs vibration parameter calculation, real-time data display, trend data display, historical data management and automatic report function, and gives alarm prompt in the case of abnormal or excessive vibration。
Predictive maintenance all-in-one Supports onsite networking and wireless LoRa ad-hoc networking, allowing access to 1000+ sensor nodes. WiFi: supports simultaneous access from 128 terminals. Cable, gigabit Ethernet. 5G connects externally for remote access by data analysts. Data processing and analysis: built-in 1TB hard disk, built-in I7 processing platform, supporting real-time data monitoring extraction and prediction, real-time data analysis, rapid anomaly identification, device health index drawing, device status analysis, abnormal event reporting, anomaly diagnosis tools. Digital twin modeling, large screen cockpit data display, abnormal data highlighting mobile terminal push, equipment full life cycle status display
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Software data presentation
