Research On Distribution Network Inspection System Base On Infrared Image Technology For UAV

The rapid development of China’s power grid construction, electricity load growth is rapid, electricity security has been greatly improved, but compared to the developed countries have certain disparity. Security level in developed or less developed areas of the country also has great distinction. Infrared temperature measurement technology is an important means of early found outside the equipment overheating fault and internal insulation fault,is also a method of advanced detection equipment status.Application of infrared temperature measurement technology to find the heat problems of power equipment external connection point, in the power system has been widely applied.When a fault occurs, it is necessary to restore the normal operation of the grid as the first important task. To timely inspection,avoid the occurrence of the fault,we need for scientific arrangement of transmission line maintenance plan, understand the real power grid, find the hidden trouble, reduce the operation risk should be put in the first place.In order to solve the problem of manual operation and routine detection of network inspection,put forward the UAV system equipped with infrared imaging equipment for scheme of flight inspection on grid.Because the UAV has characteristic of high maneuverability,fast speed,high arrival rate,strong controllability,more suitable for the inspection of modern smart grid environment,the system bring in the small unmanned helicopter as a platform, carrying camera and infrared image acquisition equipment for image data collection. Application of ARM embedded technology fusion of UAV with equipment,it designs and realizes of data sending and receiving on UAV, acquisition and transmission of infrared image, monitoring and command sending functions in the ground station,to achieve the requirement that real-time maintain3D geographic information system and unmanned machine terminal information synchronization in inspection.Flight inspection is convenient but also has certain limitations, need to analyze the cost of flying,combined with the characteristics of accurate modeling of regional power grid,to establish the constraints to control costs, play a maximum efficiency of flight.For these the dissertation put forward to the cost that repair and maintenance of network maximum profit aim is to minimize, build relationships in the failure rate and maintenance state on power lines,then Establishes the model of UAV inspect power line based Multi objective optimization, the improved traditional solution of multi-target into single objective for the multi-objective particle swarm optimization (MOPSO) algorithm,get the solution set of bilevel optimization model based on target of economic and target of reliability directly,optimize convergence process of solution. The dual constraint that line using the risk value and repair costs to determine the UAV patrol and inspection order, provide auxiliary decision science for maintenance personnel.The validation of the model and algorithm can get the optimal solution set in optimization of line patrol mode quickly and accurately. For the previous infrared acquisition equipment, manual and the fixed position of the traditional way to monitor or shoot power equipment,and UAV using infrared imaging equipment caused by the instability of the infrared image capture state, the paper brings forward the target image centroid location, infrared image segmentation and image of target device center offset recursive correction method to handle acquisition of dynamic image.For the image pre processing, can be used for further noise reduction using histogram equalization and retinex algorithm based on local feature extraction.Put forward that through the analysis of shape features many common devices and infrared feature, formating the database of fault type, as an important auxiliary basis judgment equipment failure. Using the clustering algorithm by nearest neighbor rule can distinguish the device profile of most common power, and sampling analysis, so can improve the software to determine accuracy and the capability of fault identification.According to the part of analysis of UAV background control system,the paper builds a soft system of ground station and hardware environment,then design module is designed by using Microsoft VisualStudio2010as the development platform. Contains the design of real-time flight simulation instrument panel,function the safety utility in distress, oth network control, data transmission, the design and function of image collected module, function of flight customization and realizated these.This paper presents the application of two or three dimensional integration technology that the newest technology of Geographic information system development platform to build the ground station, established a distribution network power circuit topology,and designed to spatial database of power lines and equipment in general, to establish a real-time connection with the communication on UAV, so completed the inspection3D display ground station system that could display the UAV state in realtime. System display range and the safe distance of UAV,that also could greatly enhance the safety.In this paper, the hardware integration of UAV terminal ARM system, each module of the communication,the programs of the ground station3D display system are written code and test.Image noise reduction, feature extraction and examples of particle swarm optimization through the analysis of MATLAB test, the conclusion verified the effectiveness and feasibility of the example program.