Production equipment data calibration method

A technology for production data and production equipment, applied in the field of data calibration of production equipment, can solve the problems of consuming a lot of time and resources and high labor costs

Active Publication Date: 2018-06-22
江苏极熵物联科技有限公司
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Problems solved by technology

[0007] The purpose of the present invention is to provide a method for calibrating production equipment data to solve the technical problems in the

Method used

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Embodiment Construction

[0023] A method for calibrating production equipment data is applied to production equipment, and the production equipment can be selected to include but not limited to industrial processing centers, lathes, textile machinery, and printing and dyeing machinery. Each of the generating devices is provided with at least one main control unit, and each of the main control units includes a programmable logic device, a distributed control system unit, and the like. Each of the production equipment has equipment data, and the equipment data includes production data and external parameters. For example, the production data includes equipment operation data, and the equipment operation data includes equipment operation speed, temperature during equipment operation, equipment operation time and so on. The external parameters include at least one of device type, product type, manufacturer, device model, environment parameter, device setting parameter, and real-time working state parameter...

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Abstract

The invention discloses a production equipment data calibration method which comprises the following steps: a data acquisition step for acquiring two or more sets of equipment data in operation of production equipment, wherein each set of equipment data comprises a set of production data and a set of external parameters acquired in a same time period, each set of production data is calibrated production data or uncalibrated production data, and when a set of production data is the calibrated production data, at least one basic data of the set of production data is calibrated with a corresponding data meaning identifier; a database generation step for generating a database which comprises at least two sets of calibrated production data and the external parameters in the same time period; adata model establishment step for establishing a calibrated data model according to the database; and a data calibration step for obtaining the data meaning identifier of at least one basic data of atleast one set of uncalibrated production data according to the calibrated data model.

Description

technical field [0001] The invention relates to the field of machine learning applications, in particular to a production equipment data calibration method. Background technique [0002] Machine learning (Machine Learning, ML) is an emerging discipline based on computer science, involving probability theory, statistics, convex optimization, complex network theory and other disciplines. A discipline whose main goal is to make predictions about unknown data. [0003] Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0004] Industrial production equipment is a collection of various equipment widely used in industrial production. Its production links, equipment components, and target ...

Claims

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Application Information

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IPC IPC(8): G07C3/00G06N99/00G06N3/04G06F17/50
CPCG06N20/00G07C3/005G06F30/20G06N3/045
Inventor 孙东来张星星
Owner 江苏极熵物联科技有限公司
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