Industrial data model generation method, system and device and medium

A technology for industrial data and generation systems, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve problems such as inability to automatically adjust parameters, and achieve the effect of reducing dependence

Pending Publication Date: 2021-04-16
SHANGHAI ELECTRICGROUP CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method, system, device and medium for generating an industrial data model in order to overcome the defect of incomplete automatic parameter adjustment in the prior art

Method used

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  • Industrial data model generation method, system and device and medium
  • Industrial data model generation method, system and device and medium
  • Industrial data model generation method, system and device and medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0038] like figure 1 As shown, this embodiment discloses a method for generating an industrial data model, comprising the following steps:

[0039] Step S101, determining target industrial data, and recommending modeling information according to data characteristics of the target industrial data.

[0040] In specific use, the target industrial data can be the operating status and production data of machine tools, or the environmental data and power generation data of wind turbines.

[0041] In an optional embodiment of determining the target industrial data, if the data type of the first industrial data is structured data, then determine whether the first industrial data is the target industrial data according to the structural characteristics of the first industrial data ; Wherein, the structural characteristics of the data include the number of data fields, field types, data sparsity and / or data correlation.

[0042] In an example implementation, the structured data includ...

Embodiment 2

[0059] like figure 2 As shown, this embodiment discloses a system for generating an industrial data model, which includes:

[0060] Recommendation module 1, configured to determine target industrial data, and recommend modeling information according to data characteristics of the target industrial data;

[0061] In specific use, the target industrial data can be the operating status and production data of machine tools, or the environmental data and power generation data of wind turbines.

[0062] In an optional embodiment of determining the target industrial data, if the data type of the first industrial data is structured data, then determine whether the first industrial data is the target industrial data according to the structural characteristics of the first industrial data ; Wherein, the structural characteristics of the data include the number of data fields, field types, data sparsity and / or data correlation.

[0063] In an example implementation, the structured dat...

Embodiment 3

[0081] image 3 It is a schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention. The electronic device includes a memory, a processor, and a computer program stored in the memory and operable on the processor. The processor implements the method for generating an industrial data model provided in Embodiment 1 when executing the program. image 3 The electronic device 30 shown is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.

[0082] like image 3 As shown, electronic device 30 may take the form of a general-purpose computing device, which may be a server device, for example. Components of the electronic device 30 may include, but are not limited to: at least one processor 31 , at least one memory 32 , and a bus 33 connecting different system components (including the memory 32 and the processor 31 ).

[0083] The bus 33 includes a data bus, an address bus, and ...

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PUM

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Abstract

The invention discloses an industrial data model generation method, system and device and a medium, and the method comprises the steps of determining target industrial data, and recommending modeling information according to the data features of the target industrial data; generating a plurality of initialization models according to the modeling information; and training and testing each initialization model by using the same data set, and selecting the model with the optimal test result as a target industrial data model. According to the invention, the target industrial data model can be automatically generated for the target industrial data, the dependence on professional engineers is reduced, the generation efficiency of the industrial data model is improved, and the related human cost investment is greatly reduced.

Description

technical field [0001] The invention relates to the field of industrial intelligence, in particular to a method, system, device and medium for generating an industrial data model. Background technique [0002] During the operation of industrial equipment, such as large machine tools, wind turbines, steam turbines, industrial motors and other large equipment, the timing status of related equipment and streaming media such as pictures, audio and other industrial data are generally continuously monitored. After obtaining industrial data, artificial intelligence and big data technologies are often used to carry out industrial data analysis business modeling to realize intelligent operation and maintenance of equipment. [0003] In the process of implementing industrial data analysis and modeling, general industrial enterprises need to invest more labor costs and training costs, and arrange professional engineers to carry out corresponding data processing, model selection, parame...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
Inventor 郭双全谢春汪振江
Owner SHANGHAI ELECTRICGROUP CORP
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