Metal cap production line information service method and system

Abstract

The invention discloses a metal cover production line information service method and system. The metal cover production line information service method comprises the following steps: firstly, organizing a metal cover production line information service system; then realizing data communication between each two sets of equipment in the system; finishing acquisition and processing of signals and automatically generating information; automatically alarming for abnormal conditions and automatically generating a report form; and remotely maintaining. According to the metal cover production line information service method, work including artificial recording and calculation and the like can be replaced by automatically acquiring processing states and data so that a lot of working amount can be reduced and the instantaneity and the accuracy of the data are improved; each set of the equipment is guided and maintained remotely so that the promptness of repairing the equipment is improved and the hard work and transport expenses for rushing to different places are reduced; with the adoption of an exception calling system of the equipment, the quick response of production is improved and the operation efficiency is improved and the like; and intensive monitoring and optimized implementation are convenient to carry out through resource sharing of production information of each company in a group.

Description

technical field [0001] The invention relates to the fields of industrial automation control and communication, in particular to an information service method and system for a metal cap production line. Background technique [0002] The metal cap production line is used to manufacture food, beverages, cans, condiments, beer, dairy products, daily chemical products, etc. - bottle caps. The bottle caps are usually made of tinplate, including metal Unscrew caps, crown caps, aluminum anti-theft caps, etc. The production of these caps generally goes through multiple processes such as punching, piping, cap making, drying room, counting, etc., and the finished products must meet the Chinese bottle cap industry standards or International standards, so the metal cap production line is a precision large-scale equipment with high technical content. [0003] In recent years, with the introduction of production quantitative management, equipment management, rapid response, and detailed e...

AI Technical Summary

Problems solved by technology

Due to the high noise in the workshop of the metal cap production line and the long production line, various abnormalities are often not found in time, various abnormal information cannot be communicated in real time, and various production status and data cannot be transmitted and shared in real time

And data such as product quantity, start-up time, running time, failure time, output efficiency, production efficiency, scrap rate, electricity, gas volume and other data have long relied on manual statistics to fill in, calculate and enter computer analysis to form reports. This mode is time-consuming and labor-intensive. Less rapid response and sharing of production information resources

[0004] At the same time, because most of the cover manufacturing enterprises are group enterprises, the centralized supervision and optimization of the production line equipment, production and energy consumption of many remote enterprises by the group cannot be timely and accurate by relying on manual statistics and reporting

[0005] In addition, because the PLCs of each brand are independent of each other and the programming tools are incompatible with each other, it is difficult to directly transfer the internal data of PLCs of each brand

However, traditional metal cover production line workshops often use multiple brands of PLCs. In order to network the PLCs of the entire metal cover production line workshop, it is necessary to unify the PLCs of the entire workshop production line, that is, use the same brand of PLC, so that the transformation workload and very expensive

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