Intelligent Control System for Debris Cleaning Machine Based on Visual AI Recognition Algorithm

Currently, diversion-type hydropower stations mainly judge the floating materials at the dam inlet barrage through manual inspection and grid difference feedback. They lack intelligent identification and automatic dirt removal functions, resulting in problems such as slow response time and low efficiency of manual dirt removal. Under the background of new quality productivity leading the intelligent development of energy and power, by utilizing advanced visual AI image processing technology and combining with the specific application scenarios of the control system of the dam inlet barrage cleaning machine in diversion-type hydropower stations, a set of intelligent dirt removal decision-making and control system based on visual AI is established to realize intelligent identification and automatic cleaning operations of floating materials at the inlet barrage, thereby enhancing the intelligent level of power station equipment, meeting the supervision and cleaning needs of the remote centralized control center for floating garbage on the water surface of the dam inlet barrage of hydropower stations, and reducing the work intensity of on-duty personnel.