Automobile manufacturing MES data acquisition system based on industrial Internet

Abstract

The invention discloses an automobile manufacturing MES data acquisition system based on the industrial Internet. Data acquisition and data transmission are included. The data acquisition comprises sensor data acquisition, high speed acquisition card data acquisition, PLC-to-PLC data acquisition, PLC-to-PC data acquisition, and data acquisition from an industrial personal computer to a data server. The data transmission is set to be in the way that the acquired data is transmitted to a big data platform. According to the invention, data acquisition is normalized; by use of the high speed dataacquisition technology, the sensing technology and the buffering technology, by use of the distributed acquisition mode, each system data in a workshop currently and data of production devices are acquired by use of the microsecond-grade and millisecond-grade high frequency acquisition technology; wide-coverage and high-frequency data acquisition is achieved; and by use of the big data technology,stability and efficiency of system operation are ensured.

Description

technical field [0001] The invention relates to the field of industrial Internet, in particular to an MES data acquisition system for automobile manufacturing based on the industrial Internet. Background technique [0002] The existing automobile manufacturing industry MES system, MES is the link between the on-site machine operation system, equipment control system, equipment detection system and enterprise-level management application system in the workshop, and can transmit the actual information of workshop production to the enterprise-level management application system in time. At the same time, it guides production according to the plan of the enterprise-level management application system; it is divided into the following modules according to functional development: order status management, production tracking, production scheduling, quality control, material pulling, production process monitoring, data collection, equipment energy management, reports and analysis. ...

AI Technical Summary

Problems solved by technology

However, the current data collected to the server is rather messy, and there is no unified management

For the recent business needs of big data diagnosis of equipment, traditional data collection solutions cannot meet the needs

The device diagnosis function requires a large number of digital / analog quantities, which arrive at the database at a collection frequency of 10ms, and hardware cannot be added. In this case, the original collection solution will not meet business needs

[0005] 2. The equipment data collection is not comprehensive and lacks the data collection of the on-site equipment itself;

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