Human Fatigue Improvement And Operation Optimization In Lycium Barbarum Drying Process

With the development of economy and science and technology,the nature of operators has changed,and the research of human factors has shifted to the study of the influence of "people" on production efficiency and production process quality.It began to pay attention to and extensively study the influence analysis of fatigue condition of workers in the process of production on their own health,occupational safety and ergonomics.Zhongwei Xingren town belongs to the medlar planting intensive area,engaged in the medlar planting industry of many personnel,Zhongwei to farmers self-planting processing,at present Xingren town medlar drying processing is still in a relatively backward state,low level of automation,manual work is the main productivity;In addition to the limitations of wolfberry's own growth characteristics,physical characteristics,topography,planting area production level,etc.,80% of fresh wolfberry fruits need to be dried and processed before the next step of sales and deep processing;The high production cost,the limitation of working site and the limitation of working characteristics make the drying process of lycium barbarum highly dependent on manual work.Lycium barbarum drying processing operation time limit is strong,the serious lack of labor during the summer work,the heavy workload of operators caused by fatigue,Low Back Pain(LBP),musculoskeletal injury and occupational diseases and other hazards are common.Based on the study of sun drying and drying processes and the analysis of the current situation of human factors in the drying process,the existing factors affecting the fatigue in the drying process were obtained.A fatigue evaluation system was established with working posture,physical strength,working time,temperature load,noise load and psychological load as evaluation indexes,and a quantitative fatigue evaluation model was established to obtain the comprehensive physical fatigue degree of each operation.Working posture load and working physical strength load index weight is high,this paper mainly studies the spreading operation which is obviously affected by working posture and handling operation which is obviously affected by working physical strength.Jack human factors simulation Analysis software was used to establish a simulation model of the paving process,and Low Back Analysis(LBA)and Ovako Working Posture Analysis(Ovako)were used for the paving process in both drying methods.OWAS,Comfort Assessment,found the impact of existing operations,proposed measures to improve the existing operations;The improvement effect was verified from three aspects of LBA,OWAS and body part comfort.The biomechanical model and NOISH evaluation method were used to analyze the fatigue of lifting operation.Lifting index(LI)and weight limit(RWL)in NOISH equation were used to evaluate the damage degree of the existing lifting operation,and the biomechanical model and Newton's law were combined to calculate whether the lumbosacral stress value in the corresponding lifting process exceeded the NOISH limit.Finally,the lifting operation is improved and verified.