Motor Monitoring Device Designed for Key Operating Parameters and Status of Air Compressors

1. Real-time display of the measured temperature of the motor front bearing: The monitoring device can monitor the temperature value of the motor front bearing in real time.

2. Real-time display of the measured temperature of the motor rear bearing: The monitoring device can monitor the temperature value of the motor rear bearing in real time.

3. Real-time display of the measured vibration value of the air compressor motor: The monitoring device can monitor the vibration value of the air compressor motor in real time.

4. When the temperature of the motor front bearing, rear bearing, or the motor vibration value exceeds the set threshold, the monitoring device will trigger audible and visual alarm signals.

Temperature Monitoring Principle: Typically utilizes thermocouple or thermal resistance sensors. Thermocouples operate based on the thermoelectric effect, where two different metal conductors are connected at both ends to form a closed circuit, generating a thermoelectromotive force when there is a temperature difference, and the temperature is derived by measuring this electromotive force. Thermal resistance relies on the property that the resistance of metal materials changes with temperature, and the temperature is reflected by measuring the resistance value.

Vibration Monitoring Principle: Uses vibration sensors to convert acceleration generated by vibration into electrical signals.

Main Functions

Real-time Data Acquisition: Capable of high-frequency real-time collection of temperature and vibration data from motor bearings, such as dozens of times per second or even more.

Status Monitoring and Early Warning: Based on preset temperature and vibration thresholds, when data exceeds the normal range, the device immediately triggers audible and visual alarms, and can also notify relevant personnel via SMS, APP push, etc.

Data Analysis and Diagnosis: Processes and analyzes collected data, such as spectrum analysis and time-domain analysis, to determine if there are faults like wear or looseness in the bearings, and provides diagnostic reports.

Data Storage and Query: Stores collected and analyzed data in local or cloud databases, allowing users to query historical data at any time and understand trends in bearing operating conditions.