A long-term prediction method for converter gas counters in metallurgical enterprises based on particle size calculation

A converter gas and prediction method technology is applied in the information field to achieve the effects of expanding the analysis range, perfecting the model, and ensuring real-time performance.

Active Publication Date: 2017-01-18
DALIAN UNIV OF TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The present invention mainly solves the problem of long-term forecasting of converter gas counters in metallurgical enterprises

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
  • A long-term prediction method for converter gas counters in metallurgical enterprises based on particle size calculation
  • A long-term prediction method for converter gas counters in metallurgical enterprises based on particle size calculation
  • A long-term prediction method for converter gas counters in metallurgical enterprises based on particle size calculation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to better understand the technical solution and specific implementation of the present invention, the converter gas system of a steel plant with a relatively high level of automation in the domestic metallurgical industry is taken as an example for further description. attached by figure 1 From the schematic diagram of the converter gas system shown, it can be seen that the system contains six converters as generating units, as well as many consumption units such as blast furnaces, cold and hot rolling, and sintering, as well as low-pressure boilers and thermoelectric units as adjustable units. The cabinet acts as a buffer, which can temporarily store excess converter gas when the amount of converter gas generated is greater than the consumption, or temporarily supply the consumption unit to ensure production when the generated amount is insufficient. In addition, there are gas mixing stations and gas pressurization stations, etc. Transmission and distribution ...

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

The invention relates to a granular-computation-based long-term prediction method for converter gas holder positions in a metallurgy industry. The prediction method includes that steps that after noise removal, data fill and other preprocessing are performed on real industrial production data, the data are granulated, and namely the data including differential flow of converter gas, the gas holder positions and the like are segmented according to practical features. Long-term prediction for the converter gas holder positions is finally finished by applying the methods of fuzzy C averaging, fuzzy reasoning, center defuzzification and the like. The long-term prediction method can accurately predict changes of all the gas holder positions in a converter gas system in a future long period, and provide on-line decision support for balance and optimization work of spot dispatch staff.

Description

technical field [0001] The invention belongs to the field of information technology, relates to granularity calculation, fuzzy clustering, fuzzy reasoning and other technologies, and is a long-term prediction method for converter gas counters in metallurgical enterprises based on granularity calculation. The present invention adopts the real industrial production data, and first granulates the data, that is, divides the data such as converter gas flow difference and gas counter position into segments according to the actual characteristics; then, uses the fuzzy C-means clustering method Fuzzy inference is performed on the obtained membership degree and clustering center, and a fuzzy rule base in the form of If-Then is established; finally, the result is converted from the fuzzy domain of [0,1] interval to the commonly used one through the center defuzzification method. On the exact domain of (-∞,+∞), the long-term prediction results are obtained. This long-term prediction res...

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
IPC IPC(8): G06F19/00
Inventor 赵珺韩中洋盛春阳王伟刘颖
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap