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

A Modeling and Prediction Method of Sintering Ignition Temperature Based on Working Condition Recognition

A technology of ignition temperature and prediction method, applied in the field of sintering ignition, can solve problems such as the deterioration of prediction effect, and achieve the effect of maintaining prediction accuracy and long-term high efficiency

Active Publication Date: 2022-05-17
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the research on the ignition temperature prediction model, most of them can only have a good prediction effect when the short-time scale operating conditions are stable, and when the long-term scale operating conditions change, the prediction effect will become worse

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 Modeling and Prediction Method of Sintering Ignition Temperature Based on Working Condition Recognition
  • A Modeling and Prediction Method of Sintering Ignition Temperature Based on Working Condition Recognition
  • A Modeling and Prediction Method of Sintering Ignition Temperature Based on Working Condition Recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to make the purpose, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0016] Please refer to figure 1 , the present invention provides a method for modeling and predicting sintering ignition temperature based on working condition identification, comprising the following steps:

[0017] S1. Using the FCM clustering method to cluster the multi-working conditions of the ignition process to determine the working condition category;

[0018] The sintering ignition process is a complex industrial production process with many disturbances and many influencing parameters, which has the characteristics of time delay, large hysteresis, nonlinearity, etc. The main parameters affecting the ignition temperature T are shown in Table 1 below:

[0019] Table 1. Main parameters of sintering ignition process

[0020]

[0021] Among the...

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 provides a method for modeling and predicting sintering ignition temperature based on working condition identification, which comprises the following steps: using FCM clustering method to cluster multiple working conditions in the ignition process to determine the category of working conditions; to determine the category of working conditions Carry out DBI index calculation, determine the number of working conditions of the sintering ignition process; Based on the different groups of actual data obtained after clustering, set up the ignition temperature prediction model PSO-Elman under each specific working condition determined, the present invention overcomes the ignition process engineering When the conditions change, the accuracy of the single prediction model becomes poor. It can judge whether the ignition process has changed according to the real-time feedback data. If it changes, it can identify the current conditions and switch to the corresponding prediction model for prediction, ensuring long-term The ignition temperature under various working conditions on the time scale can be predicted by the most suitable PSO-Elman prediction model, so as to maintain long-term high-efficiency prediction accuracy.

Description

technical field [0001] The invention relates to the technical field of sintering ignition, in particular to a method for modeling and predicting sintering ignition temperature based on working condition identification. Background technique [0002] The iron and steel industry is an important basic industry for the development of the national economy. Sintering production is an important process in the ironmaking process and the main way to artificially enrich ore. The sinter produced is used for blast furnace smelting. The quality and output of sinter have a direct impact on blast furnace production. , and then affect the effect of the entire ironmaking production. The sintering production process generally includes batching, mixing and granulation, segregation and distribution, ignition, ventilation and sintering, cooling, crushing and screening, etc. Sintering ignition is an important process in sintering production, and the effect of ignition will profoundly affect the qu...

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 Patents(China)
IPC IPC(8): G06F30/20G06F119/08
CPCG06F30/20G06F2119/08Y02P90/30
Inventor 安剑奇岑延卓吴敏杜胜
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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