Design And Implementation Of Obstacle Avoidance System For Inspection Dron

With the rapid development of economy and technology,unmanned operation has gradually entered people’s vision.In the field of patrol inspection,unmanned aerial vehicles are particularly widely used.Through drone inspection,it can not only improve efficiency,fully reduce labor costs,but also ensure the safety of inspection personnel in hazardous work environments.The main purpose of this paper is to improve the autonomous inspection level of unmanned aerial vehicles(UAVs),and the research goal is to design a reliable and safe inspection UAV system with obstacle avoidance performance.The main research contents are as follows:(1)To ensure the smooth implementation of the obstacle avoidance system,a summary of requirements for the flight platform and obstacle avoidance system has been completed.The UAV system design was completed by selecting matching batteries and power systems,and formulating overall hardware solutions,laying a system framework for the following hardware system and obstacle avoidance system design.(2)To meet the requirements of inspection,an industrial level inspection drone loaded with intelligent batteries was designed.The three MCU hardware architecture and expanded communication interface enable this UAV to carry multiple types of mission loads.Aiming at the dual intelligent battery scheme,an energy management system is designed based on energy flow and information flow.Realize the observable and verifiable energy status of unmanned aerial vehicles,thereby taking corresponding measures to ensure flight safety.(3)Pre-processing radar data,identifying obstacle types,and formulating corresponding obstacle avoidance strategies.Taking the shortest flight path as the goal,the initialization and mutation strategy of the genetic algorithm are improved.The improved genetic algorithm is used for path planning and further optimization of the resulting solution,ultimately achieving second level unmanned aerial vehicle mission path re planning.After completing the corresponding simulation design,the obstacle avoidance and re planning strategy is placed in the cloud center station for practical use.Finally,the functional verification and overall joint debugging of the designed patrol UAV hardware board are performed to verify whether the UAV meets the basic requirements of autonomous patrol through manual flight and autonomous patrol flight.The test results show that the designed UAV can effectively locate obstacles and complete obstacle avoidance through task path re planning during the process of completing autonomous patrol tasks,ensuring the flight safety of the UAV,and achieving the expected goals of this article.