Research On Multi-parameter On-line Monitoring Technology Of Transformer Based On Fiber Bragg Grating Sensor

Power transformers are one of the core equipment of power systems,and it will directly affect whether the power grid can operate safely and efficiently.In the event of a transformer failure,the entire power supply system will be inoperable,resulting in an incalculable economic loss and even threatening the safety of people’s lives and property.Therefore,the monitoring of the operating state of the transformer is carried out to detect and warn the potential failure threat of the transformer in time,so that the operation dispatcher can take timely measures to eliminate the abnormality and avoid equipment damage and more serious accidents.The monitoring of the safe operation state of the transformer is actually monitoring the temperature or vibration signals during the operation.Compared with the traditional electric sensor monitoring method,the fiber grating sensor not only overcomes its long-term stability,short life,and maintenance difficulties and low measurement accuracy,it also has many excellent characteristics that other sensors can not match,and has been widely used in the field of optical fiber sensing.Therefore,the use of fiber Bragg grating sensing technology for multi-parameter monitoring of transformers is a necessary subject.This subject aims to study the multi-parameter on-line monitoring technology of transformer based on fiber Bragg grating sensor.Firstly,based on the in-depth analysis of the fiber Bragg grating sensing theory,a transformer multi-parameter local monitoring platform was built,and the fiber grating demodulation system was assembled with the high-precision fiber grating demodulation module FBGA produced by BaySpec.Using the C++ programming language based on MFC and Microsoft Visual Studio 2010,which is the development environment launched by Microsoft Corporation,integrated multi-threading technology,dynamic link library technology and database technology,to complete the functional modules design of the local monitoring system with object-oriented modular programming ideas,and finally realize the acquisition,processing,display and storage of temperature,vibration and other signals by the monitoring system.Then,for the problem that the performance of the local monitoring system needs to be optimized and improved,the signal acquisition technology,the method of improving the signal precision in the monitoring system,and the noise attenuation technology in the monitoring system are studied respectively,through the fitting and filtering of the signal.The dynamic andstatic analysis completes the improvement of the accuracy of the monitoring signal and optimizes the overall performance of the monitoring system.Finally,in order to make the monitoring signal better realize the linear and real-time characteristics,this paper develops the cloud platform monitoring of the transformer signal.Using OneNet cloud platform and data transparent transmission module as the bridge between local monitoring system and cloud platform,the overall architecture of cloud platform monitoring is built,and the access technology and communication of terminal equipment and cloud based on OneNet cloud platform are comprehensively used.The technology realizes the display and storage of the transformer signal in the cloud.At the same time,the signal is displayed and stored by the mobile phone App,and the remote monitoring of the signal on the mobile end is realized.Finally,the subject completed the research on the multi-parameter on-line monitoring technology of transformers,which can be used to realize on-line monitoring of multi-parameters of transformers,this has important practical application value for timely understanding and mastering the operation status of the transformer,ensuring its normal operation,and thus improving the safety of the power grid.