基于聚类的无人机施药中施用人员暴露风险评估OA

[Objective]The use of plant protection drones has seen rapid expansion,due to their remarkable advantages of quick application,high efficiency,and minimal exposure risks.However,there is a lack of comprehensive research on the exposure levels of applicators(drone pilots and ground crew).Thus,the exposure data of 12 applicators after UAV spraying operation was collected,and a grey clustering model was constructed to provide rational recommendations on spraying methods and habits to reduce their exposure to harmful substances.[Methods]After the spraying operation,the unit exposure data from 11 body parts,the head,torso,and limbs,on protective clothing of 4 UAV pilots and 8 ground crew were measured.The whitening weight coefficients of these body parts were calculated using grey clustering method of Shannon weights.Furthermore,the comprehensive weight coefficients for each applicator were computed.Based on this evaluation,the 12 applicators were categorized into three groups:high,medium,and low exposure levels,and a further exposure analysis was conducted for them.[Results]The drone pilot identified as RI-DP3 and the ground crew identified as CO-FP3 are of high exposure category.The pilots identified as CO-DP2 and RI-DP4,the ground crew identified as CO-FP1,RI-FP5,RI-FP7 and RI-FP8 are of medium exposure category.The other applicators are of low exposure category.[Conclusions]The evaluation model provides reasonable protective suggestions to all the applicators of plant protection UVA.Moreover,since the model comprehensively assesses the unit exposure level of multiple body parts of applicators,its application is not restricted by chemical types,which endows the model with universality.