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Knowledge of wireless temperature measurement system
The wireless temperature measurement system is a temperature measurement system with multiple temperature monitoring methods. There are currently three widely used. One is the CT type, which uses CT to supply power to the sensor, but the power supply is not stable due to the line current is not necessarily, and the sensor itself consumes limited energy. Long-term high-current work may cause self-heating and affect the accuracy of temperature measurement . The second is the surface acoustic wave type, which measures the temperature through the propagation speed of the acoustic wave under different temperature environments. This method is similar to infrared temperature measurement. The third is RFID technology. The host transmits energy to the passive sensor through a transmitter. After the sensor receives the energy, the temperature is measured and then transmitted back to the host through wireless.
The main advantage:
1. No battery or power required
2. Not easy to age
3. Same life as the switchgear
4. Adapt to different environments
5. High precision without potential difference
6. No interference from electromagnetic waves
Fault diagnosis and prediction:
The system provides means such as the control cabinet temperature and real-time load comparison to troubleshoot the abnormal temperature.
According to the existing temperature data and its changing rules, according to the established prediction algorithm to provide users with temperature prediction results, and compare the predicted value with the early warning value, and find that there is an abnormal possibility to send temperature warning information.
The main advantage:
1. No battery or power required
2. Not easy to age
3. Same life as the switchgear
4. Adapt to different environments
5. High precision without potential difference
6. No interference from electromagnetic waves
Fault diagnosis and prediction:
The system provides means such as the control cabinet temperature and real-time load comparison to troubleshoot the abnormal temperature.
According to the existing temperature data and its changing rules, according to the established prediction algorithm to provide users with temperature prediction results, and compare the predicted value with the early warning value, and find that there is an abnormal possibility to send temperature warning information.
