Research On Equipment Intelligent Perception And Operation Maintenance Methods For Discrete Workshop

With the introduction of emerging concepts such as big data and the Internet of Things,significant changes have taken place in the business model and development philosophy of traditional manufacturing industries.Enterprises have realized the tremendous help of data for production efficiency.Many enterprises have created intelligent workshops,prompting them to shift towards digitalization and intelligence.Workshop intelligent perception technology is a product of the integration of various technologies such as manufacturing Io T,information technology,and modern communication technology with the manufacturing industry.By building a workshop perception network system,real-time collection and transmission of workshop manufacturing resource information can be achieved.At present,intelligent perception technology has become an important basis and reliance for the intelligent transformation and upgrading of the current manufacturing industry.This article takes the production data of workshop equipment as the main thread to drive the full lifecycle management of equipment.Firstly,it studies the underlying perception methods,data transmission methods,and data storage media of discrete workshops in the Io T environment.Then,an intelligent perception system for workshops is established.Then,relevant algorithms for equipment health assessment are studied and an inventory strategy optimization model is proposed.Finally,a workshop equipment operation and maintenance management system is developed by integrating research results.The main research results of the paper are as follows:(1)This paper analyzes and elaborates on the current research status of the project from three aspects: discrete workshop intelligent perception,workshop visualization technology,equipment health assessment and operation and maintenance.(2)Aiming at the problem of intelligent perception in discrete manufacturing workshops,this paper analyzes the characteristics and current problems of discrete manufacturing workshops,and identifies the objects of intelligent perception in the workshop based on the source and characteristics of workshop data.Then,it analyzes and selects relevant technologies for intelligent perception in the workshop from three perspectives: low-level perception means,workshop data transmission methods,and vehicle data storage media,Finally,a device operation and maintenance framework is proposed based on the actual process of the enterprise.(3)Based on the characteristics of intelligent perception and equipment operation and maintenance data,a workshop intelligent perception architecture was designed,and a data collection and perception system for workshop processing equipment was established.Subsequently,the application of OPC UA technology in equipment data perception was introduced,and the corresponding OPC UA information model for workshop equipment was established.A data transfer module was designed to achieve unified processing and protocol conversion of equipment information,and established the mapping relationship between the information model and the corresponding data items,and then elaborated on the data collection scheme of the Frank machine tool using the FOCAS development package,and combined with sensor collection technology to achieve partial completion of the collection range.Finally,based on the data obtained from perception and collection,a workshop visualization platform was built.(4)A data-driven equipment health assessment method and an inventory strategy optimization model are proposed to address the low efficiency and high cost of traditional equipment operation and maintenance methods in discrete workshops.Firstly,quantify the health level of the device and perform hierarchical division.Then,preprocess the key timing signals that can reflect the health status of the device in conjunction with the Gram angle field,and input the processing results into a residual neural network improved by attention mechanism for device health status evaluation.Verify its accuracy and reliability through algorithm comparison;Secondly,in order to minimize the overall cost,an evaluation system for the importance of spare parts is constructed,and an inventory strategy optimization model is proposed.(5)Based on the research results of this article and combined with the actual needs of enterprises,a set of equipment operation and maintenance management system for discrete manufacturing enterprises has been developed and validated.