Production equipment data collection method and device

Abstract

The invention provides a production equipment data collection method, comprising the steps of initializing equipment configuration; collecting data items; determining whether an equipment number is valid data; and if not, returning to the step of collecting data items, if so, uploading the data to a collection server at regular intervals. A timer uploads the data to a data storage server during atiming cycle period. The invention also provides a data collection device. According to the invention, the real-time information of the production equipment can be collected, and support for quickly locating and resolving faults is offered; through the data analysis, a model among machine operating parameters, status and faults is established, and the equipment fault prediction and early warning are achieved; and through analysis of the collected data, for example, processing time length, start-up time length, processing information and the like, the equipment production capacity, load rate and operating rate are evaluated, so as to achieve the balance of production capacity.

Description

technical field [0001] The present invention relates to a production equipment data method and device, in particular to a production equipment data remote acquisition method and device. Background technique [0002] Data collection refers to automatic collection from sensors and other devices under test and other units under test, and sending them to the host computer for analysis and processing. Intelligent manufacturing is inseparable from the support of production data. In the manufacturing process, various production equipment are not only production tools and equipment, but also the nodes of the workshop information network. Through the automatic collection, statistics, analysis and feedback of machine tool data, the results are used to improve the manufacturing process, which will greatly improve the manufacturing process. The flexibility and integration of the processing process, thereby improving the quality and efficiency of the product production process. The pur...

AI Technical Summary

Problems solved by technology

In most cases, the method of manually recording to paper while measuring, and finally inputting it into the PC for processing is not only heavy work, but also cannot guarantee the accuracy of the data. Often the data obtained by the management personnel is lagging behind by a day or two. data; and for on-site bad product information and related production data, how to achieve high-efficiency, concise, and real-time data collection is a big problem

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