Online Detection of Temperature Surge in Distributed Transmission Conductors Based on Fiber Optic Sensing Technology and Prediction Bias Correction

Abstract

In an effort to overcome the shortcomings of transmittal line heat mutation detection, such as the need for long-term preset external power supply and susceptibility to electromagnetic interference, we study the online detection of heat mutation of dispersed transmittal conductor based on staple optic sensing technique and correction of sensor prediction bias, which solves the issue of cross allergy between heat and damage. Based on the staple optic sensing technique, the staple optic transducer is designed and the Brillouin rate divert of the dispersed transmittal line is calculated; on the basis of the relationship between the Brillouin rate divert and the heat, the heat measurement result of the dispersed transmittal line is obtained; in the radial basis function meshwork, the heat measurement result is inputted, the heat measurement deviation of the staple optic transducer is predicted, and the prediction deviation is corrected to get the corrected heat measurement result; by comparing the current heat measurement result with the historical heat data, the heat measurement result of the staple optic transducer is predicted. By comparing the current heat measurement outcome with the historical heat data, the heat of the dispersed transmittal line is detected online, and an alarm is issued when the heat morph exceeds the preset threshold value. Experiments have proved that: the method can availably calculate the Brillouin rate divert of dispersed transmittal conductors and complete the heat measurement of transmittal conductors; the method can availably correct the prediction deviation of transmittal conductor heat and improve the exact of heat measurement; the method can availably detect the heat mutation of dispersed transmittal conductors online, and the detection exact is high.