Study On Environmental Emission Prediction And Healthy Operation Path Planning In Die Casting Workshop

Die casting,as a common technology in manufacturing industry,has been widely used in all walks of life.However,die casting is also a typical manufacturing process with high pollution.In the die casting workshop,there are still some problems such as poor manufacturing environment and high occupational disease risk of workers.Scientific and effective prediction of environmental emissions and optimal path planning of workers’ work in die casting workshops is of great significance to control environmental emissions and protect labor resources,and is conducive to promoting the upgrading and transformation of die casting workshops.In this paper,the die-casting workshop is taken as the research object.GA-BP neural network is used to carry out the research on environmental emission prediction of die-casting island,and the path of minimum hazard of workers’ operation is planned and studied based on the prediction results.Firstly,based on the production characteristics of the die casting workshop,according to the selection principle of environmental indicators,the environmental index system of the die casting workshop was determined,the environmental influencing factors of the die casting workshop were determined,and the influencing reasons and trends of each factor on the environmental indicators were analyzed.A die-casting workshop environment monitoring platform based on Internet of Things was proposed,which effectively realized the remote monitoring and control of the workshop environment.According to the actual situation of the die casting workshop,the principle of the monitoring spot distribution in the die casting workshop was determined by comprehensively considering the influence of monitoring index,spot placement method,monitoring period and frequency on the error of data collection.Secondly,the BP neural network was optimized by genetic algorithm,and the environmental emission prediction model of die-casting island was established.Based on the operation state of the die-casting island,the network training was carried out with different influencing factors as the input and PM10,PM2.5,noise and temperature as the output,and the prediction model of environmental emission of the die-casting island under different equipment states was built.By comparing the GA-BP model with four traditional prediction models,it is proved that the GA-BP model has the highest prediction accuracy and the best prediction effect,which verifies the scientificity and rationality of adopting GA-BP model to predict the environmental emissions of die-casting island.Finally,a die-casting area was taken as an example to verify the practicability of the prediction model.Thirdly,the superposition of noise and dust emission of several die-casting islands in the same area under different conditions is discussed,and a conclusion suitable for die-casting workshop is obtained.In this paper,the road risk coefficient of noise and dust is quantified,and the actual road length is converted into road equivalent length.Based on this,the Dijkstra algorithm is used to obtain the path with the least pollution for workers.Finally,the corresponding case analysis proves that the path decision-making method of minimum hazard of workers’ operation proposed in this chapter has timeliness and accuracy,and can be applied to the path planning problem of workers’ operation in the die-casting workshop with serious pollution and concentrated distribution.Finally,taking a die-casting area in a die-casting workshop as an example,this paper introduced the concrete scheme of the regional environmental indicators monitoring points,selection of environmental monitoring data of one day in March.Using GA-BP neural network prediction model of the die casting area environmental indicators data to forecast,the different process parameters combination die casting area mapping relationship and environmental emissions was obtained.Based on the predicted environmental emission data,the healthy operation path planning was carried out,which effectively supported the environmental management and occupational disease prevention in the die casting workshop.