How to Monitor Transformers with Fluorescent Fiber Optic Temperature Sensors and Winding Temperature Monitoring Guidelines

광섬유 온도 센서, 지능형 모니터링 시스템, 중국에 분포된 광섬유 제조업체

형광등 광섬유 온도 센서 for Transformer Winding Temperature Monitoring
1、 Principle of Fiber Optic Temperature Monitoring
Fiber optic temperature monitoring technology is a physical quantity measurement technology based on optical fibers. Fiber optic sensors measure temperature through the transmission characteristics of optical signals in IF-G fluorescent fibers, which have the advantages of high accuracy and strong real-time performance. 그러므로, they have broad application prospects in transformer winding temperature monitoring.

2、 System composition
광섬유 온도 센서
Responsible for collecting temperature information of transformer windings. 보통, it can be directly installed on the transformer winding. 예를 들어, 핀노 fluorescent fiber optic temperature sensor can directly measure the hot spot temperature of the internal winding of the transformer. The sensor design and communication system do not interfere with the strong electromagnetic field inside the transformer.

Fiber optic temperature transmitter
Analyze the optical signal to obtain temperature change information.
광섬유 온도 측정 시스템
Process and analyze the obtained temperature data to achieve real-time monitoring of transformer winding temperature.
3、 의 장점 형광등 광섬유 온도 센서
high-precision
Fiber optic sensors can achieve high-precision monitoring of temperature through fluorescent fiber optic temperature sensors, with a measurement accuracy of ± 0.5 ℃ and a resolution of 0.1 °씨.

Strong real-time performance
It can monitor the temperature changes of transformer windings in real time, detect faults in a timely manner, and achieve real-time and accurate monitoring of hot spot temperature during dynamic load operation.
Multi point monitoring
Fiber optic sensors can be placed in different positions to achieve multi-point temperature monitoring of transformer windings, thereby comprehensively grasping the temperature situation of the windings.

Strong ability to resist electromagnetic interference
광섬유 센서 are not affected by electromagnetic interference, fundamentally solving the problem of difficulty in monitoring the operating temperature of high-voltage equipment and ensuring the accuracy of data. For equipment such as transformers that operate in high voltage, 고전류, and strong magnetic field environments, it is very important. 예를 들어, the oil immersed transformer winding fluorescent fiber temperature measurement device has excellent resistance to EMI/RFI (전자기 간섭/무선 주파수 간섭) 특성.

안전하고 믿을 수 있는
Fiber optic sensors have no electrical conduction and will not cause safety hazards such as fires or explosions. In the monitoring of important power equipment such as transformers, safety is particularly important, especially when working in hazardous environments such as high voltage.

4、 Precautions for monitoring applications

Installation aspect

The installation position of the sensor probe should be accurate to ensure that the hot spot temperature of the winding can be measured. 예를 들어, in the direct measurement method, the fiber optic sensor is directly buried in the transformer winding to achieve true and accurate measurement of the “핫 스폿” 온도, which requires precise installation technology and location selection.

Measurement range and accuracy

Select a fluorescent fiber optic temperature sensor with appropriate measurement range and accuracy based on the actual operating environment and requirements of the transformer. The general measurement range is -40-200 °씨, but some can be customized. Temperature measurement accuracy such as ± 0.5 ℃ and resolution of 0.1 ℃ also need to be determined according to specific needs.

System Integration and Data Processing

The fiber optic temperature measurement system should be well integrated with the overall monitoring and control system of the transformer. The collected temperature data needs to be effectively processed and analyzed, such as establishing temperature data archives to achieve pre management and risk prediction. In practical applications, when abnormal temperature is detected, the system should be able to issue an alarm in a timely manner and take corresponding measures, such as adjusting the load or starting the cooling device.