Production equipment management planning system based on big data

Abstract

The invention discloses a production equipment management planning system based on big data. The system comprises an acquisition module, an arrangement module, an analysis module, a database, a calculation module, an adjustment module, a planning module and a display screen, wherein the acquisition module is used for acquiring equipment data information which comprises equipment maximum temperature data, equipment working time length data and equipment use frequency data and transmitting the data to the arrangement module; and the arrangement module arranges the equipment maximum temperature data, the equipment working time length data and the equipment use frequency data and then transmits the data to the analysis module. According to the invention, the acquired equipment data informationis subjected to daily working state analysis through the analysis module to obtain the damage of different working states to the equipment, and the damage coefficient is accurately analyzed to generate an adjusting signal, so that the protection to the equipment is enhanced, the service life of the equipment is prolonged, and the economic loss of people is reduced.

Description

Technical field [0001] The invention relates to the technical field of equipment management planning, in particular to a production equipment management planning system based on big data. Background technique [0002] Production equipment refers to the labor materials or utensils necessary to directly change the properties, performance, shape of raw materials or to enhance the appearance value that are manipulated by production workers during the production process, such as blast furnaces, machine tools, reactors, printing and dyeing machines, etc. The quality of production equipment Its technological advancement directly affects the quality, precision, output and production efficiency of the product. As a fixed asset, the value consumption of production equipment in the production process is gradually transferred to its products. [0003] A semiconductor production equipment management system with the announcement number CN1492474. The semiconductor production equipment management...

AI Technical Summary

Problems solved by technology

[0006] (1) How to analyze the daily working status of the collected equipment data information through the analysis module, obtain the damage caused by different working status to the equipment, and accurately analyze the damage coefficient, so as to solve the problems that cannot be solved in the existing technology The problem of accurate analysis of the degree of damage to the equipment;

[0007] (2)

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