The invention relates to the field of wind power field station monitoring, and discloses an artificial intelligence-based wind power field station remote monitoring system, which is characterized in that a field station is divided into a plurality of inspection subareas, an artificial intelligence algorithm is used for automatically planning inspection routes for intelligent inspection equipment in the inspection subareas, and inspection and data acquisition are carried out; through analysis and data fusion of the image, temperature data and vibration data of the wind power equipment in the inspection sub-region, the abnormal problem of the wind power equipment in the inspection sub-region is comprehensively detected. Then fault prediction is carried out on abnormal wind power equipment in the inspection sub-region based on combination of historical power generation amount, voltage and current and real-time power generation amount, voltage and current, and remote monitoring and management are carried out by a remote monitoring platform, so that comprehensive coverage and real-time monitoring of the wind power plant equipment and region can be realized; the inspection efficiency and precision are improved, and the accuracy and reliability of fault prediction are improved.
本发明涉及风电机场站监控领域,且公开了一种基于人工智能的风电机场站远程监控系统,通过将场站划分为若干个巡检子区域使用人工智能算法为巡检子区域内的智能巡检设备自动规划巡检路线,并进行巡检和数据采集,通过对巡检子区域内的风电设备的图像、温度数据以及振动数据进行分析和数据融合,综合检测出巡检子区域内的风电设备异常问题,再基于对历史发电量、电压以及电流与实时发电量、电压以及电流相结合对巡检子区域内的异常风电设备进行故障预测,再由远程监控平台进行远程监控和管理,有利于实现对风电场设备和区域的全面覆盖和实时监控,提高了巡检效率和精度,进而有利于提高故障预测的准确性和可靠性。
Wind power field station remote monitoring system based on artificial intelligence
一种基于人工智能的风电机场站远程监控系统
2025-04-15
Patent
Electronic Resource
Chinese
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