Intelligent monitoring method and system for operation state of process production equipment

A technology of operating status and intelligent monitoring, applied in complex mathematical operations, special data processing applications, instruments, etc., can solve problems such as model mismatch, inability to accurately realize online monitoring of equipment, and inability to meet intelligent monitoring

Active Publication Date: 2020-09-29
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the trained model is applied to a new monitoring scenario, there will be a problem of model mismatch, and the online monitoring of equipment in the new scenario cannot be accurately realized
This cannot meet the requirements of intelligent monitoring

Method used

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  • Intelligent monitoring method and system for operation state of process production equipment
  • Intelligent monitoring method and system for operation state of process production equipment
  • Intelligent monitoring method and system for operation state of process production equipment

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Embodiment Construction

[0075] The following is a detailed description of the embodiments of the present invention. This embodiment is carried out based on the technical solution of the present invention, and provides detailed implementation methods and specific operation processes to further explain the technical solution of the present invention.

[0076] this reference figure 1 As shown, the embodiment applies the intelligent monitoring method of the present invention to the intelligent monitoring of the operating state of the continuous stirring tank heater, including the following steps:

[0077] Step 1: Obtain the historical data obtained from the operation of the continuous stirred tank heater CSTH1 in two modes as the source domain data X s =[X s1 ,X s2 ,...,Xsi ,...,X sC ], since there are only two modes in this embodiment, C=2, and X s1 is the source domain historical data corresponding to one mode, X s2 is the source domain historical data corresponding to mode 2;

[0078] Obtain the...

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Abstract

The invention discloses an intelligent monitoring method and system for the operation state of process production equipment, and the method comprises the steps that data, obtained through the operation of the process production equipment under each mode of two types of production conditions are obtained as source domain data and target data; a target function is constructed by utilizing source domain data and target data to carry out migration dictionary learning, an obtained dictionary can map a source domain and a target domain into an invariant subspace, and inter-domain distribution difference is eliminated in the subspace, so that external condition information of the data of the subspace is eliminated, and meanwhile, public internal mechanism information is reserved; and the online monitoring data can be monitored by using an OMP algorithm and a kernel density estimation algorithm. The monitoring method and system provided by the invention have strong generalization ability, andcan still obtain an accurate monitoring effect when the online monitoring data and the historical training data obey different distributions.

Description

technical field [0001] The invention relates to the technical field of production operation status monitoring, in particular to an intelligent monitoring method and system for the operation status of process production equipment. Background technique [0002] Different from the discrete production process, the process production is continuous and cannot be interrupted. Once the process production equipment fails, it will bring huge safety hazards and economic losses. Accurate monitoring of the operating status of process production equipment can detect faults in time, significantly reduce safety hazards, economic losses and improve production efficiency. Current monitoring methods are mainly divided into three categories: 1) model-based monitoring, 2) knowledge-based monitoring, and 3) data-driven monitoring. Among them, data-driven monitoring does not require the internal mechanism of production equipment and artificial prior knowledge, and has become the main method of in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/903G06F17/16
CPCG06F17/16G06F16/90335G06F18/214
Inventor 黄科科阳春华梁慧平李繁飙李勇刚桂卫华
Owner CENT SOUTH UNIV
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