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Smart workshop system and method based on multi-source data fusion and storage medium

A multi-source data and workshop technology, applied in the field of Internet of Things, can solve problems such as poor data sharing, untimely equipment maintenance, and restriction of intelligent transformation and upgrading, so as to promote intelligent transformation and upgrading, improve data openness, and prevent non-interconnection and interconnection. Effect

Pending Publication Date: 2022-04-01
贵州华创云科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The traditional manufacturing industry faces many problems in the process of intelligent transformation and upgrading. Among them, the prominent problems are: high difficulty in data perception, inconsistent industrial protocol standards, low data openness, and insufficient data utilization. These problems cause high costs for enterprise transformation and upgrading, Adverse consequences such as unsmooth data sharing and untimely equipment maintenance have seriously restricted the intelligent transformation and upgrading of traditional manufacturing industries

Method used

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  • Smart workshop system and method based on multi-source data fusion and storage medium

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Experimental program
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Effect test

Embodiment 1

[0065] This embodiment is basically as attached figure 1 Shown: Smart workshop system based on multi-source data fusion, including: workshop data acquisition subsystem, cloud distributed storage subsystem and data analysis subsystem;

[0066] The workshop data acquisition subsystem is used to collect multi-source data from different sources in the workshop, and provide OPC UA service access interface for the collected multi-source data, so as to facilitate data access in heterogeneous system networks such as SCADA, MES, ERP, and prevent Heterogeneous networks are not interconnected, thereby improving data openness; multi-source data includes: workshop equipment data and worker management data; workshop equipment data includes: equipment assembly line position flow information data, observation equipment operation status data, and production efficiency of the assembly line The scheduling data of the equipment; the flow information data of the location of the equipment assembly ...

Embodiment 2

[0094] This embodiment is basically the same as the above embodiment, the difference is that: the life prediction sub-module is also used to obtain the predicted total life of the device, wherein the predicted total life is equal to the equipment's used time plus the predicted remaining life;

[0095] The health status monitoring module also includes: life monitoring sub-module;

[0096] The life monitoring sub-module is used to monitor the actual service life of the equipment;

[0097] The data analysis subsystem also includes an operation analysis module;

[0098] The operation analysis module is used to judge whether the actual service life of the equipment is greater than or equal to the predicted total life. If so, the abnormal state warning information, fault diagnosis results, working time data and worker safety production hours of the equipment are retrieved; according to the retrieved results, Carry out operation status analysis; specifically, obtain the probability ...

Embodiment 3

[0105] This embodiment provides a smart workshop method based on multi-source data fusion, including:

[0106] Workshop data collection steps: collect multi-source data from different sources in the workshop, and provide OPC UA service access interface for the collected multi-source data, so as to facilitate data access in heterogeneous system networks such as SCADA, MES, ERP, etc., and prevent heterogeneous networks Not interoperable and interconnected, so as to improve data openness; multi-source data includes: workshop equipment data and worker management data; workshop equipment data includes: equipment assembly line position flow information data, observation equipment operation status data and scheduling data that affect assembly line production efficiency ; Worker management data include: working time data and work error data in the production line.

[0107] Cloud distributed storage step: Encrypt cloud distributed storage of multi-source data collected by the workshop ...

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Abstract

The invention relates to the technical field of Internet of Things, in particular to an intelligent workshop system and method based on multi-source data fusion and a storage medium, and the system comprises a workshop data collection subsystem which is used for collecting multi-source data of different sources in a workshop and providing an OPC UA service access interface for the collected multi-source data; the cloud distributed storage subsystem is used for encrypting and storing the multi-source data acquired by the workshop data acquisition subsystem; and the data analysis subsystem is used for carrying out cleaning, fusion and normalization processing on the multi-source data in the cloud distributed storage subsystem, carrying out data mining on the processed multi-source data, extracting effective information in the multi-source data, and carrying out analysis and visualization processing. According to the system, the integration of collection, storage, analysis and visualization of workshop data is realized, the transformation and upgrading cost of an enterprise is reduced, and intelligent transformation and upgrading of the enterprise are promoted.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a smart workshop system, method and storage medium based on multi-source data fusion. Background technique [0002] Industrial software is the fusion agent for the digital industry to accelerate towards informatization and industrialization, and is widely used in various elements and links in the field of digital industry. The construction of digital workshop is the key link for manufacturing enterprises to realize intelligent manufacturing. Its realization depends on the workshop's independent decision-making, self-assembly production, and equipment interconnection, automatic perception, data fusion, real-time analysis and visualization, but these technologies are currently in the process of industrial development. weak link. [0003] The traditional manufacturing industry faces many problems in the process of intelligent transformation and upgrading. Among them,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/25G06F16/27G06F16/2458G06F16/248G06F16/215
Inventor 申明查万能岳鑫
Owner 贵州华创云科技有限公司