Production site data online collection analysis and fault prediction system

Abstract

The present invention belongs to the related technical field of intelligent manufacturing, and discloses a production site data online collection analysis and fault prediction system. The system is constructed based on B/S configuration, and comprises a bottom-layer sensing network unit, a lower computer collection state unit and an upper computer server unit, wherein the lower computer collectionstate unit is in signal connection with the bottom-layer sensing network unit, and is configured to obtain various real-time data comprising a device state, a production process, product quality andlogistics information of an intelligent manufacturing workshop in real time and extract feature data; the upper computer server unit is configured to perform visual display of workshop poses and operation states based on the real-time data, predict and obtain faults of each device based on the feature data and give a targeted fault maintenance measure. According to the invention, the uniform networking management of the intelligent manufacturing workshop devices can be achieved to thoroughly eliminate an information island and mainly give a targeted solution means for the device faults and energy consumption.

Description

technical field [0001] The invention belongs to the technical field related to intelligent manufacturing, and more specifically relates to an online collection and analysis of production site data and a fault prediction system. Background technique [0002] With the proposal of Made in China 2025, "Internet +" and intelligent manufacturing engineering, the demand for online collection, analysis, prediction and management of production site data is more urgent. With the continuous development of computer technology and network technology, enterprises have put forward higher requirements for on-site data collection, analysis, prediction and management in the production process, especially for enterprises with harsh on-site conditions, high risk or high environmental sanitation requirements, remote control of equipment It is necessary to monitor and reduce the possibility of maintenance personnel going to the site. [0003] The retrieval finds that some solutions have been pro...

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Problems solved by technology

[0004] However, further studies have shown that the above-mentioned prior art still has the following defects or deficiencies: (1) The monitoring system used in the current industrial production site has too single a function, only through threshold detection to determine whether a fault occurs, and cannot perform multiple analysis methods, Fault diagnosis of multiple signal sources; (2) Lack of online collection and analysis of more key information in the production process, such as production process parameter information, product quality information, logist

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