Factory intelligent early-warning system

An early warning system and intelligent technology, applied in database management systems, instruments, data processing applications, etc., can solve problems such as insufficient intelligence in early warning, inability to efficiently integrate multi-source heterogeneous data, and high correlation, so as to meet large-scale and high concurrency Effects of data processing, efficient extraction, and overcoming extraction difficulties

Inactive Publication Date: 2017-09-08
EAST CHINA NORMAL UNIV +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the traditional manufacturing field, the manufacturing system relies too much on human judgment, and this judgment is highly related to the actual control and management experience of specific personnel. Structured data, so that the early warning in production is not smart enough, efficient

Method used

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  • Factory intelligent early-warning system

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[0016] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0017] The present invention constructs an early warning system capable of high-speed analysis and processing of real-time data in the manufacturing process. Based on the existing data, the cyclic neural network is trained to obtain a specific neural network system model, and the fastest analysis and prediction of the newly generated data is performed. The prediction results guide the manufacturing process. Through the combination o...

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Abstract

The invention discloses a factory intelligent early-warning system which comprises the following successively connected modules: a multivariate heterogeneous data fusion processing module which collects monitoring data generated by each system of a factory and performs fusion on mass multivariate heterogeneous data based on xml technology, and performs processing through statistics methods such as sampling and normalization; a machine learning module which performs training learning on data that are generated by the multivariate heterogeneous data fusion processing module and performs continuous adjustment for generating a neural network system model which is related with fault data and fault phenomena and is used for analyzing the multivariate heterogeneous data that are generated in a subsequent production system and performing forecasting; and an information early-warning module which intelligently pushes an analysis result that is generated by the machine learning module to related management personnel for reminding. According to the factory intelligent early-warning system, through directly using a deep learning neural network system which is established according to deep learning technology in analytical forecasting for real-time mass data of the factory, high efficiency and high intelligence are realized, and furthermore factory management by the people is facilitated in an automatic evolution manner.

Description

technical field [0001] The invention relates to the fields of industrial control and machine learning, in particular to an intelligent early warning system for factories based on multiple heterogeneous data processing and deep learning technologies. Background technique [0002] In the traditional manufacturing field, the manufacturing system relies too much on human judgment, and this judgment is highly related to the actual control and management experience of specific personnel. Structured data, so that the early warning in production is not intelligent and efficient. For example, Chinese Utility Model Patent Application No. 201220224902.X discloses a motorized material storage system based on an ERP system, which relates to a material management system, including an ERP system. The ERP system communicates with the data management systems of multiple warehouses through the network Communication connection, the data management system includes the storage system, the stora...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F17/30G06N3/04
CPCG06F16/25G06N3/04G06Q10/06375
Inventor 史建琦李志辉黄滟鸿王祥丰吴苑斌
Owner EAST CHINA NORMAL UNIV
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