Research On Transmission Line Breeze Vibration Monitoring System Under Internet Of Things Environment

The power deployment of the State Grid has spread all over China.As an important part of the power system,the transmission line is developing towards large span and large capacity.Aeolian vibration is the most common vibration mode of transmission line.The damage caused by aeolian vibration is the result of long-term accumulation and is not easy to detect,which will have a serious impact on the reliability of transmission line.Therefore,it is necessary to study its monitoring system;In recent years,the large-scale popularization of narrowband Internet of things(NB-IoT)provides a new idea for the research of line aeolian vibration monitoring system.NB-IoT has the advantages of low power consumption,large connection and wide coverage.Combining it with line aeolian vibration monitoring can realize the aeolian vibration monitoring of transmission lines in a wide area.This research is of great significance.Firstly,this paper summarizes the research status of aeolian vibration at home and abroad.Secondly,it introduces the formation mechanism,influencing factors and measurement principle of transmission line aeolian vibration.According to the technical specification for transmission line aeolian vibration monitoring device,the acceleration sensor is selected to obtain the transmission line vibration data.Based on the large-scale promotion of NB-IoT,an on-line monitoring system scheme of aeolian vibration under the Internet of things technology is proposed,and the monitoring system design is completed.Taking the low-power and high-performance STM32F103 chip and bc26 communication module as the core,supplemented by acceleration sensor,temperature and humidity sensor and GPS locator,a fully functional and stable monitoring terminal device is designed to collect the vibration amplitude of transmission line and surrounding environmental parameters,and use NB-IoT communication to transmit the obtained data to onenet cloud platform.The system software part completes the program design of the node detection equipment and the connection of the cloud platform to the network.The upload and display management of the collected data can be realized successfully.In order to improve the accuracy of aeolian vibration monitoring system and reduce the occurrence of system misjudgment or missing judgment,Kalman filter is used to process the acceleration data.Finally,the system is tested.The experimental results show that the terminal equipment can collect the required data in real time and upload it to the cloud platform through wireless communication.The monitoring center processes and displays the uploaded data correctly.The overall performance of the system is stable and achieves the expected goal.Fig.[44]table[7]Ref[80]...