LoRa for Industrial Machine Health
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Background
A textile factory's equipment fault prediction and diagnosis system needs to monitor equipment operating status, speed, temperature, voltage, and other data in real time. Through data analysis, it effectively predicts equipment faults, providing comprehensive information support for intelligent factory management and reducing the failure rate.
Client Requirements
- Data Acquisition
Acquire data such as the textile machine's speed pulse signal, temperature, and voltage.
- Real-time Monitoring
Monitor the textile machine's real-time status 24/7, predicting equipment faults and production status.
Technical Solution
The system uses LoRa nodes ET2110 and ET1010 based on customized pulse detection.
ET2110 supports 1*RS485, 4*DI, and 4*DO interfaces, and supports transparent transmission/relay.
ET2110 adopts the latest LoRa spread spectrum technology, supporting longer, faster, and more secure data transmission. It features the following characteristics:
1. Supports RSSI signal strength indication, enabling signal quality assessment and communication network improvement.
2. Can be used for efficient data acquisition, secure data transmission, relay networking, point-to-point transmission, and point-to-multipoint transmission.
3. Supports setting 8 logic pins, enabling DO remote follow DI, AO remote follow AI, and other IO follow functions.
4. Head-to-tail cascading design allows for easy expansion of IO interfaces.
5. Industrial-grade quality, anti-static, surge-proof, wide voltage range, and supports stable operation from -40℃ to 80℃.
Systemfunktionen
1. Data Acquisition
The ET1010 LoRa node acquires data from the textile machine's speed pulse sensor via serial port and transmits the data to the ET2110 via LoRa wireless communication.
2. Data Dashboard
Real-time display of all textile machine online status, pulse count, signal strength, speed, temperature, voltage, and other data, as well as the device status of all ET2110 and ET1010 LoRa nodes, facilitating unified monitoring.
3. Operations & Maintenance Management
The concentrator transmits data to the cloud platform via a 4G network using the MQTT protocol. O&M personnel can promptly take necessary actions based on the real-time machine status displayed on the platform.
4. Alarm Mechanism
Supports offline alarms and threshold-based alarms to prevent unexpected equipment failures and downtime.
Advantages and Value
After the combustible/toxic gas monitoring system was put into operation, the alarm response time was shortened from an average of more than 30 minutes to less than 1 minute; the safety accident rate caused by gas leakage dropped by more than 90%.
- Technical Advantages
Using LoRa technology enables star and point-to-multipoint networking with fast and easy deployment. It also supports low power consumption, reducing operational costs.
- Fault Prevention
Provides remote real-time monitoring of machine operation, including temperature, voltage, faults, maintenance status, and more. Through big data analysis, the system can effectively predict potential equipment failures.
