An intelligent monitoring method and system for the operation status of process production equipment

A technology for operating status and intelligent monitoring, which is applied in complex mathematical operations, instruments, and other database retrieval directions. Generalization ability, eliminating the effects of changes in external conditions

Active Publication Date: 2022-03-29
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • An intelligent monitoring method and system for the operation status of process production equipment
  • An intelligent monitoring method and system for the operation status of process production equipment
  • An intelligent monitoring method and system for the operation status 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 ,...,X si ,...,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 th...

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Abstract

The invention discloses a method and system for intelligently monitoring the running state of process production equipment, wherein the method includes: acquiring data obtained by operating the process production equipment in each mode under two production conditions respectively as source domain data and target data; Using the source domain data and target data to construct the objective function for transfer dictionary learning, the obtained dictionary can map the source domain and the target domain into an invariant subspace, in which the difference in distribution between domains is eliminated, so that the subspace The external condition information of the data is eliminated, while the public internal mechanism information is preserved; the online monitoring data can be monitored by using the OMP algorithm and the kernel density estimation algorithm. The monitoring method and system of the present invention have strong generalization ability, and can still obtain accurate monitoring effect when the online monitoring data and 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 Patents(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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