Industrial equipment management system based on production data

Abstract

An industrial equipment management system based on production data comprises a local server deployed in a factory, and a cloud server deployed in a public network IP. The local server established in the field of the factory is connected with a remote internet and the local factory, collects the real-time operation data of equipment, and forwards the information to the cloud server for storage through the industrial Internet and the information component; meanwhile, an equipment control instruction sent by the cloud server needs to be received and analyzed to actual industrial equipment, and a user is remotely controlled; the cloud server is deployed at the cloud end, is connected with a user and bottom-layer industrial equipment, and carries the whole industrial equipment management system, the user accesses a management system visual interface on the cloud server through a PC end or a mobile end browser and a public network IP, and manages and maintains the equipment through an operation interface. The system interacts with a database module in an enterprise information system, and processes industrial equipment data acquired on site, so that the equipment maintenance cost of an enterprise is reduced.

Description

technical field [0001] The invention relates to an industrial equipment management system based on production data. The system takes industrial equipment such as industrial robots and CNC lathes as management objects, in order to solve the problems of chaotic management of industrial equipment and high maintenance costs in manufacturing. [0002] technical background [0003] With the rapid development of modern industry, the manufacturing innovation strategies of various countries have proposed the concept of intelligent manufacturing, which promotes the digital, networked and intelligent development of the manufacturing industry. The emergence of manufacturing execution system (manufacturing execution system, MES) provides intelligent manufacturing enterprises with a sophisticated manufacturing environment and visual monitoring and data management of equipment in the production process; at the same time, artificial intelligence technology is used to develop intelligent manu...

AI Technical Summary

Problems solved by technology

Secondly, design the equipment management module according to the actual production needs to realize the management of equipment basic information and production data; and develop a front-end interface with good human-computer interaction to achieve the purpose of visual management of equipment information; integrate multiple databases to design data storage modules to solve different data in the system Various types of reading and writing problems; design equipment maintenance modules based on the Spark big data processing framework, conduct online analysis of equipment real-time data, and use machine learning regression algorithms to conduct prediction model training on historical data to achieve real-time monitoring of equipment status and prediction of remaining service life , to achieve the purpose of equipment predictive maintenance

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