Research On Extended Application System Of UAV For Data Acquision In Electric Power Industry Field

The electric power supervision need to collect and analysis the data of power quality in real-time. However, for some existing substations, the data acquisition often depends on the manual manipulation. It is essential to build a more efficient and flexible remote wireless data acquisition system. With the rapid development of the unmanned aerial vehicle(UAV) technique, which can be applied in power quality data acquisition, is capable of improving the working efficiency.In this thesis,we first investigate the development situation of the power quality data collection and transportation system, which depends on huge manpower and low efficiency. In order to solve this problem, we propose a data collection system for PQDIF by the FTP client in the transformer substations communication system which is control by the unmanned aerial vehicle. In addition, we propose a cognitive radio based adaptive wireless transportation method to implement data transmission between the substation and the UAV. Furthermore, to extend the multi-sensors, it is necessary to obtain the effective reliable fieldbus interface on the UAV controller, therefore we design the CAN application layer protocol for which can extend sensors for the posture, orientation, communication and optical.The experiment results show that the embedded FTP client collect the PQDIF data effectively. Meanwhile, the reliability and transmission rate is improved by using the cognitive radio based adaptive transmission method. Finally, the validity of the self-defined CAN bus application layer protocol which is applied to the UAV sensor bus extension and data collection has been fully verified.