| Power tower is one of the important components of transmission and distribution,its main work in the field with a complex environment,in the face of complex environmental factors and human factors and other influences,easy to cause the tilt of the power tower,deformation and even collapse,seriously affecting the safe and stable operation of the transmission line.Therefore,it is necessary to carry out necessary inspections of electric towers,especially in areas prone to natural disasters.At this stage in China,the inspection of the power tower is mainly used in the manual inspection method,which is not only inefficient but also costly,at the same time,the human eye cannot accurately determine whether the power tower is slightly inclined and deformed.This paper designs an online attitude monitoring system for power towers based on NB-IOT technology,combines narrowband Internet of Things technology with sensor detection technology to realize the monitoring of power tower attitude and micro-weather around the tower,and uploads the collected data to the cloud platform through NB-IOT and realizes the visualization of data to establish a good humanmachine interface.This system can solve the drawbacks of manual inspection,reduce the burden of front-line staff,and improve the efficiency of inspection.The main research contents of this paper are as follows:(1)Communication scheme design.Combined with the low power consumption,wide coverage,transmission stability and other requirements of the actual system,the NB-IOT communication technology based on the Lw M2 M protocol is designed as the communication scheme of the system.The design terminal equipment completes the collection and upload of micro-meteorological and attitude data of the power tower,and realizes the visualization and storage of data through the Io T platform.(2)The attitude solution algorithm of IMU inertial sensor was studied.The error model of the acquired data of the sensor is established,and the gradient descent method is used to calibrate the sensor to reduce the error caused by the deterministic factors of the sensor itself.In the attitude solution of the IMU,the fusion algorithm of the complementary filtering algorithm and the solution algorithm of the multi-data source attitude of the Kalman filter algorithm is fused to obtain the fusion algorithm,which has the characteristics of higher solution accuracy and stronger anti-interference than the traditional complementary filtering and Kalman filter.(3)System design.A data acquisition terminal with STM31F103 as the terminal control core,M5311 as the communication module,MPU6050 as the inertial sensor and micrometeorological data acquisition sensor is designed to realize data acquisition and upload.Analyze the data uploaded by the terminal device,extract important monitoring data,and realize visualization through the View component of the Internet of Things cloud platform,so that you can intuitively grasp the changes of the data.In the design of power supply,a solar power supply with maximum power point tracking is designed.Test the individual functional modules of the system and the visualization capabilities of the cloud platform.The algorithm of attitude solution of multiple data sources is experimentally simulated.Experiments have proved that the accuracy of attitude solution meets the requirements and meets the requirements of the design,and the various functional modules of the system run stably and have certain practical value.Figure[71] table[18] reference[84]... |
