Design And Implementation Of Health Status System Of Transmission Tower Based On Multi-sensor Data Fusion

Transmission tower is a key component of the system of electric power network. They support a large number of transmission lines, and ensure the whole power network system normal running smoothly. But transmission tower is working in the field environment, and can be easily affected by strong winds and heavy rain and other natural disasters, so these conditions easily lead to accidents. Various accidents,such as windage yaw discharge caused by windage, conductor strand broken caused by wind vibration, tower lodging phenomenon caused by winds and other environmental factors and so on, occurred frequently. These accidents can lead to abnormal operation of power network system, which will bring serious economic losses. By using of existing sensor technology, we can monitoring yaw angle of insulator string, situation of tower vibration, tower inclination, meteorological environment and other related parameters, then through the processing of multiple sensors data fusion, according to the final results of the fusion, and can monitor the health status of transmission tower. Therefore, monitoring the health status of transmission tower is of certain significance to reduce the occurrence of accidents and economic losses.According to the current situation, there were a variety of devices or systems about multi-parameter monitoring of transmission line tower. However, the deficiencies of existing devices or systems need to be improved and optimized, for example, some design in monitoring parameters is not comprehensive enough, the monitoring method of parameter is not reasonable enough, and the accuracy of monitoring data is not high. Based on the national grid in Yangquan power Supply Company of Shanxi Province project “Development of transmission tower multi-parameter monitoring prototype”, the main work includes the following three points:1. The health status data acquisition of transmission tower: STC90C516 R D+ MCU was used as the main control chip of each data acquisition node, by using of existing sensor technology, every parameter data acquisition node was composed. These nodes include temperature & humidity monitoring node, wind speed & wind direction monitoring node, tower vibration monitoring node, insulator string windage yaw monitoring node, and tower angle monitor node. Data of every node was transmitted to the parent node as the object of the parent node data processing by radio frequency.2. The health status data processing(data fusion) of transmission tower: multi-sensor data processing is performed at the parent node, this paper uses the ARM9 as the main control chip of the parent nodes, then parent node data processing center was composed; The parent node uses the data fusion algorithm(batch estimation algorithm) to carry on the data fusion processing. In the end, the fusion data is transmitted to the host computer remote monitoring platform through the network transmission technolog y.3. The monitoring results of the health status of transmission tower: the remote monitoring platform of host computer is designed by using the interface design tool, and the final data fusion result is displayed by the platform.Through the above work, the design and implementation of system was successfully completed, the stage task of project was overfull filled, the basic requirements of project was met, in the process, a new method of parameter monitoring is also designed, through analysis of relevant results, this system is more comprehensive in function, monitoring results are more accurate, the efficiency of inspection of transmission tower is improved in the application.