Rotating Machinery Fault Prediction System
The rotating equipment fault prediction system is a core product developed by the witium team. It solves various health operation and maintenance problems in the rotating equipment industry, and provides professional users with real-time monitoring, fault prediction, fault diagnosis and analysis, health management and other functions of rotating equipment; The product is composed of industrial IOT vibration sensor, industrial edge computing gateway and witcloud IOT cloud platform, providing customers with SaaS service cloud platform for fault prediction of various rotating equipment; The platform carries out data mining according to a large number of vibration data collected, forms professional equipment health diagnosis report and maintenance suggestions, and provides data interface function for users, so as to facilitate users to import rotating equipment status into intelligent factory operation and maintenance platform system.
The system can produce automatically without professional analysis Fault prediction and health diagnosis report
Edge computing gateway and cloud platform AI big data analysis capability, edge cloud collaboration
The system uses mobile app and email、SMS informs users of equipment failure and prediction results
The system can predict motor unbalance, misalignment and looseness、gear wear、bearing aging and other faults
The system predicts equipment failure in advance to avoid equipment failure Unexpected shutdown to reduce production line shutdown loss
The on-site installation and deployment of the system is simple and fast.The software uses SaaS business cloud platform
The system can monitor the vibration status of equipment in real time.The platform can view and analyze vibration history data
The system can judge and calculate the switching time of equipment by the data collection
Wireless transmission mode of the system, supporting WiFi、4G, optional according to the field network
System Architecture, Software And Hardware
IoT high-frequency vibration sensor is used to collect vibration waveform samples and surface temperature of equipment to generate vibration characteristics of equipment. WTG9XXX edge computing gateway collects related machines' data to understand the load state of the motor in operation and the characteristics of the sensor, so as to realize the prediction of rotating equipment faults such as unbalanced, misaligned, loose, gear wear and bearing aging. Then the data and analysis results are uploaded to the WitCloud platform through MQTT System. SaaS cloud platform provides users with monitoring, management and other main operations. It also provides data interface function to facilitate users to import the standby state into the intelligent factory operation and maintenance platform system, which forms professional rotating machinery health diagnosis report and maintenance suggestions.
Witcloud Internet of things data cloud platform
The functions of witcloud cloud platform include: access configuration of vibration sensors and edge computing gateways on rotating devices (including subject configuration and channel configuration), remote information configuration and device firmware upgrade, alarm configuration, journal recording and viewing, uploading of multi-layer edge computing gateways, database backup and retrieval, and managing and controlling the influxdb database;
The powerful system architecture of witcloud cloud platform makes it scalable, capable of accessing a large number of devices, and capable of millions of concurrency. It can easily access more than 1 million rotating devices, and can support the access capacity of more than 100000 new devices every year.
SaaS service cloud platform for rotating equipment
SaaS service cloud platform for rotating equipment fault prediction provides users with platform functions such as status monitoring, fault analysis, scene monitoring, fault management, operation and maintenance management, equipment management, customer management and permission management, as well as platform data reading interface function. Through big data analysis tools, SaaS business cloud platform provides professional users with equipment operation status analysis, early warning fault analysis, and forms professional industrial equipment health diagnosis reports and maintenance suggestions.
Fault prediction algorithm model：Firstly, the system collects the vibration characteristics and load temperature characteristics of rotating equipment through the high-frequency vibration sensor and platinum resistance of the Internet of things, and forms a vibration characteristic sample library; Then, the intelligent algorithm (machine learning algorithm library) is used to carry out machine self-learning on these original data samples, generate the corresponding fault prediction algorithm model, and form the fault prediction model library; The fault prediction algorithm model is used to analyze and process the real-time collected data to realize the fault prediction and diagnosis of rotating equipment such as imbalance, misalignment, looseness, gear wear, bearing aging and so on.
High frequency vibration sensor
MEMS vibration sensor
Medium and high frequency vibration monitoring
The sampling frequency is up to 20khz
Magnetic suction easy installation
Edge computing gateway
Edge AI Calculation
Several vibrating channels
Multiple wireless Transmit
Embedded algorithm model
Number of vibration channels
1-6 Optional Channels
1 Pt100 Breakage Detection
Three winding temperature
3 Pt100 Breakage Detection
1 * power light, 1 * sensor communication light, 1 * network status light
Online update, remote update