Design And Development Of UAV Monitoring System For Overhead Line Inspection

As the scale of power grids expands,human inspections can no longer meet the demand for effective power grid operation and maintenance.Therefore,it is of great importance to study overhead power line supervision systems operated by unmanned aerial vehicles(UAVs)and to build a self-operating UAV power line supervision system that is able to assign tasks to operators.The content of the thesis is as follows:Firstly,an overhead power line patrol plan for UAVs was drawn according to locations and patrol routines required for the inspections and a design for the overall architecture and functionality of a supervision system was proposed based on discussions about design requirements.Following this,the design and development of the UAV supervision system as a web application interface was carried out.The web application was separated into two components:one for logistics management and the other for field operations.In the design and development of the logistics management component,role-based security privileges and field operation user management features were implemented to achieve secure and efficient management of field inspections.In the design of the field operation component,different features such as UAV group supervision,administrative management of sub-users and allocation of field inspection tasks to UAVs were incorporated.Furthermore,the quick creation of real-time field inspection tasks was enabled through the use of tower type data and route patrol data.Subsequently,a more convenient mobile client application was designed based on the foundations of the web application to achieve front-end features for the field operations component.Through the use of an API endpoint to interact with the component’s server,field inspection tasks and the transmission of control logic was executed on the server.To address the issue of the RTK module inside UAVs having unstable overhead internet reception,the mobile client obtained and forwarded differential network data to the UAVs to help increase the stability of accurate positioning.Lastly,the reliability and stability of different functional modules comprising the supervision system designed in this thesis was verified by conducting practical overhead power line inspection tasks using drones developed independently by the team.