Research And Development On Environmental Parameters Fusion And Cloud Service Management System Of Metal Polishing

Grinding and polishing is an indispensable step in the manufacture of metal products.Although the dust removal fan has been fully loaded at the polishing site,the flammable and explosive metal dust is still not effectively monitored and controlled.According to statistics from the National Bureau of Statistics,there have been as many as 35 metal dust explosions in the past decade,causing nearly 1,000 casualties.In order to ensure the safety of production,the health and safety of workers,and the energy conservation of dust removal fan,this paper takes metal polishing dust Cloud Service Management system as the research content,and conducts research on the assessment of air pollution and cloud service management system in metal polishing environment.The specific work is as follows:Due to the complex and variable environment of the polishing site,it is difficult to effectively evaluate the pollution status of the on-site work environment.Therefore,this paper proposes a multi-sensor two-level data fusion by DS evidence theory,and separately performs the homogenous data of the data layer and heterogeneous information at the decision-making level.The data layer fusion uses algorithm rules based on element relevance,which can accurately eliminate abnormal and redundant information and provide more reliable information to the next decision layer.The fusion algorithm of decision-making layer uses D-S evidence theory to convert the heterogeneous information of different sensors after data layer fusion into evidence,and obtains the final judgment result after D-S synthesis rule.The analysis of the example combined with multi-sensor monitoring system shows that the decisionmaking credibility of the algorithm is greatly improved in complex and variable situations.On the basis of the theoretical research of the algorithm,the merits and defects of B/S and C/S architecture are analyzed,and the overall design architecture of the Cloud Service Management system with front environment data collection,middle-layer cloud server and application-side Android APP is determined.The front layer uses STM32CT6 as the control core,which is responsible for data collection,device control and cloud server communication.The cloud server is equipped with a socket communication window,Web Service and SQL Server written in C# language.Socket is responsible for interacting with the front layer information.SQL Server is the core for storing and managing monitoring data.Web services using ASP.NET technology implement APIs for corresponding functions,including the most important data fusion interface query for data fusion;Android APP realizes remote real-time data query and remote control of supervisors.Finally,the inverter's frequency conversion energysaving control is realized by designing the working frequency of the dust-removing fan corresponding to different air pollution level.The test of Kunshan ShiNaiTe Co.,Ltd.for nearly one year shows that the Cloud Service Management system can effectively and accurately monitor and judge the polluted situation of polishing operation environment,which has high decision-making credibility,and also achieves the purpose of energy conservation and basically achieves the expected goal.