Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Soft sensor modeling method in industrial process

A technology of industrial process and modeling method, applied in the field of artificial intelligence, which can solve the problems of difficult soft sensor operation and poor prediction effect

Inactive Publication Date: 2017-02-15
TIANJIN POLYTECHNIC UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides an industrial process soft sensor modeling method, which solves the problems of difficult operation and poor prediction effect of soft sensor in industrial applications

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Soft sensor modeling method in industrial process
  • Soft sensor modeling method in industrial process
  • Soft sensor modeling method in industrial process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] figure 1 It is a schematic flowchart of an industrial process soft sensor modeling method provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the industrial process soft-sensing modeling methods include:

[0024] S101. Acquire M modeling data used in an industrial process soft-sensing modeling method as data to be processed.

[0025] Specifically, the data to be processed is the production data collected from an industrial production process, for example, it can be the production data of the LF furnace ladle refining production process, and the output variable obtained by establishing the soft sensor model can be determined, for example, it can be the LF furnace Ladle refining production process molten steel end point temperature, analyze the factors that affect the molten steel end point temperature in the ladle refining production process of the LF furnace, for example, it can be the initial temperature of molten steel entering the station,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Embodiments of the present invention disclose a soft sensor modeling method in an industrial process. The method comprises the steps of obtaining modeling data used for the soft sensor modeling method in the industrial process as to-be-processed data, selecting training data according to the weight, establishing a soft sensor sub-model by using a single intelligent method, and obtaining a soft sensor model of the soft sensor modeling method in the industrial process by using the soft sensor sub-model. According to the method disclosed by the embodiments of the present invention, the problem that the conventional soft sensor modeling method in the industrial process leads to inaccurate modeling and difficult operation for large industrial noise data is solved, and the soft sensor modeling method in the industrial process disclosed by the embodiments of the present invention focuses on the training of poorly trained samples, so that while the prediction accuracy is improved, the interference caused by large noise data can be overcome.

Description

technical field [0001] The embodiment of the present invention relates to an artificial intelligence technology, in particular to a soft sensor modeling method for an industrial process. Background technique [0002] With the rapid development of soft sensing technology in recent years, various soft sensing methods based on artificial intelligence technology have been widely used in industrial production, but many industrial production processes include various complex physical and chemical reaction processes, or in high temperature and high pressure Therefore, there is a complex nonlinear relationship between each influencing factor and the measured value. How to make the soft sensor technology improve the measurement accuracy and simplify the actual operation is to apply the soft sensor technology to industrial production. the bottleneck. [0003] The main idea of ​​ensemble learning is to integrate multiple sub-learning machines to improve the performance of the entire l...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/08
CPCG06F30/20G06N3/084
Inventor 田慧欣刘玉栋
Owner TIANJIN POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com