| The regular cleaning of photovoltaic modules can avoid the safety hazards caused by dust accumulation,prolong the life of photovoltaic modules and ensure the normal power generation of photovoltaic power station.Thus,cleaning robot systems are needed to regularly clean photovoltaic modules.According to the characteristics of the new photovoltaic power station cleaning robot system designed by my lab,a photovoltaic power station needs to invest in multiple cleaning robot systems with several operators to manage.The cleaning robot system consists of a cleaning robot and a mobile supply station.The key is how to effectively and efficiently manage the multiple cleaning robot systems.This study focused on research on the optimization of manual operation of the cleaning robot system.Firstly,four warning types of the cleaning robot system were analyzed,summarized and sorted by analytic hierarchy process(AHP).The sequence is:(1)the cleaning robot is dropped,(2)the power supply of the mobile supply station is insufficient,(3)the parameters of the cleaning robot are abnormal,(4)the cleaning robot completes the cleaning of the single-row photovoltaic modules.Next,the sequence of operating warning robots by operators was decided.Combined with the priority of the warning types,warning time and locations the warning happens,the sorting method of dealing with warning was determined.On this basis,operators’ motion path could be determined with the principle of walking along right angles,minimum turning and minimum detours.Finally,simulation verification was done on the photovoltaic power station simulation system.The results demonstrated that the management optimization research could effectively decreased the walking time of operators,operators could timely deal with various warning types,so that the final aims of cutting down the operation and maintenance costs of photovoltaic power stations,improving generation efficiency were achieved. |
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