Intelligent analysis method based on distributive optical fiber temperature measurement

Abstract

The invention discloses an intelligent analysis method based on distributive optical fiber temperature measurement. The intelligent analysis method based on the distributive optical fiber temperature measurement comprises the following steps that partitioned management is conduced on a temperature measurement cable, and an optical fiber temperature measurement device is installed; an alarming parameter is set in a background data processing system, and the distributive optical fiber temperature measurement device reports the real-time temperature measurement data; every time a current temperature value is received, a system conducts temperature jump analysis once on the temperatures collected in each partition area, and if an analysis value exceeds a threshold value, temperature jump alarming is conducted; every time the current temperature value is received, the system conducts slow change analysis, the temperature is compared with the highest temperature, the lowest temperature, the environment temperature, the average temperature difference and a temperature difference of each partition area, and when the temperature values exceed set numerical values, slow change temperature alarming is conducted. According to the intelligent analysis method based on the distributive optical fiber temperature measurement, analysis and filtering are conducted on the sudden change and the slow change of the temperature, when the operation state of the cable and the temperature of the surroundings fluctuates abnormally or a fault is caused, early warning can be automatically conducted, and the safety operation level of a power cable is further improved.

Description

technical field [0001] The invention relates to an intelligent analysis method based on distributed optical fiber temperature measurement. Background technique [0002] With the development of my country's economy, the power system is developing in the direction of ultra-high voltage, large power grid, large capacity, and automation. Once an accident occurs, it will cause huge losses to the national economy. How to conduct online monitoring of running power equipment and conduct safety prediction and temperature change trend analysis, and how to conduct scientific analysis on equipment quality, operating environment, operation mode, equipment aging, load imbalance, etc. through real-time data, these are the power system problems that urgently need to be resolved. Traditional infrared thermometers, infrared imagers, temperature-sensing cables, and thermal resistance temperature measurement systems can only measure the temperature of local locations in the power system, and c...

AI Technical Summary

Problems solved by technology

Traditional infrared thermometers, infrared imagers, temperature-sensing cables, and thermal resistance temperature measurement systems can only measure the temperature of local locations in the power system, and cannot provide scientific basis for safe, economical operation, and efficient maintenance

[0003] At present, there are many optical fiber temperature measuring devices and methods on the market, but only the temperature is measured without intelligent analysis. It can only be compared manually based on experience or previous data to judge the actual condition of the cable. This method is time-consuming and laborious. , and the efficiency is low and misjudgment is high, and emergency measures cannot be taken in time

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