无人机AI识别应用于水电站泄洪时下游人车的检测

Application of UAV AI Identification in the Detection of Downstream Vehicles during Flood Discharge of Hydropower Station

摘要: 目前水电站的安全防护大多数依然处于人工巡检或者半自动巡检中，存在日常巡检难度大、强度高、效率低下，紧急情况下无法快速响应，且存在一些人员无法到达的巡视观测盲区等问题。随着近几年无人机和AI引擎在智慧城市、智慧工地、光伏、电网等行业的深入发展和应用，建立水电站无人机AI全自动人车检测系统尤为迫切。本文通过无人机和AI引擎算法相结合，配以高空喊话系统等软硬件实现水电站泄洪时下游人车的检测。

Abstract: At present, most of the safety protection of hydropower stations is still in manual or semi-automatic inspection, and there are difficulties, high intensity and efficiency of daily inspection underground, which can not be quickly responded to in emergency situations, and there are some personnel can not reach the patrol observation blind area and so on. With the in-depth development and application of UAV and AI engines in smart cities, smart construction site, photovoltaic, power grid and other industries in recent years, it is particularly urgent to establish an autonomous human-vehicle detection system for UAV in hydropower stations. In this paper, unmanned aerial vehicle (UAV) and AI engine algorithm are combined with high-altitude loudspeaker and other software and hardware to realize the detection of downstream vehicles during flood discharge in hydropower stations.