On-line production data rapid generation and management method and system

Abstract

The invention discloses an on-line production data rapid generation and management method. The method is characterized in that the method comprises the following steps: first, an industrial control computer, a first-level PLC controller connected with the industrial control computer and a second-level PLC controller connected with the first-level PLC controller are arranged; second, a data processing system based on wincc configuration is arranged in the industrial control computer; third, the data processing system creates a data table through a graph editor and edits a static text, an I/O domain, a combination frame and a button into the created data table; fourth, variables are created according to the product production data and a variable database is built; fifth, a VBS script is arranged, and variable data is exported from the variable database through the VBS script; six, a date, a production line and a device are selected, whether the exported data is consistent with archived data is determined, if the exported data is not consistent with archived data, jumping to the VBS script is carried out, variable data is exported again, if the exported data is consistent with archived data, data query is finished and display is carried out. The invention also discloses a system implementing the method.

Description

technical field [0001] The invention relates to the field of product production, in particular to a method for quickly generating and managing online production data, and a system for implementing the method. Background technique [0002] In factory production, the production status and status of equipment are often related to the quality and quantity of products. Therefore, statistics and analysis must be made on the number of good products produced by the equipment, the number of defective products, and the downtime of equipment, so as to provide future information for equipment maintenance and maintenance. Improvements are of great help, so data is especially important for production lines. Each device will have a mechanism to record the number of products, record and transmit the data to the touch screen display through the PLC. In the past, the production data on the touch screen was recorded manually. This method consumed the man-hours of the production line employees,...

AI Technical Summary

Problems solved by technology

Each device will have a mechanism to record the number of products, record and transmit the data to the touch screen display through the PLC. In the past, the production data on the touch screen was recorded manually. This method consumed the man-hours of the production line employees, and the data accuracy was not high. Data integration is not fast and convenient enough

When analyzing the data of multiple devices, the workload of integrating the data of each device is heavy, it is not intuitive enough, and it is easy to make mistakes during the excerpt process

[0003] When using transcripts to collect equipment data, the workload of production line employees is increased, and the manual transcript data is not accurate enough, and the data may be falsely reported due to bonus issues, which cannot truly reflect the real situation of the equipment and have an impact on the company.

It is troublesome to keep the past data, and there are a lot of papers used for the notes. When searching the past data of a single device, it is inconvenient and not fast enough

In the comprehensive analysis of multiple devices, the workload of integrating the data of each device is heavy, it is not intuitive and clear enough, it is easy to make mistakes when extracting data, and it takes a lot of manpower and material resources to check the past historical data of multiple devices, and wastes man-hours

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