Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Online prediction system for terminal composition of low-carbon ferrochromium in silicothermic smelting

A technology of low-carbon ferrochromium and electric silicon thermal method, which is applied in the field of submerged arc furnace smelting, can solve the problems of long training time and error of large data volume data samples, improve learning efficiency and regression ability, improve online prediction accuracy, The effect of accurate prediction results

Inactive Publication Date: 2011-04-27
CHANGCHUN UNIV OF TECH
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention solves the technical problems in the prior art that the training time of data samples with a large amount of data is too long, and that there are errors when the whole smelting process is predicted by a single model, and provides an end point of low-carbon ferrochrome smelted by electric silicon thermal method Composition online prediction system, which makes full use of various sensor information in different smelting conditions, and uses multi-scale support vector machine for fusion analysis, and the prediction results have a high accuracy rate, which can meet actual needs, and the friendly interface design is more Simple and practical

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
  • Online prediction system for terminal composition of low-carbon ferrochromium in silicothermic smelting
  • Online prediction system for terminal composition of low-carbon ferrochromium in silicothermic smelting
  • Online prediction system for terminal composition of low-carbon ferrochromium in silicothermic smelting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0018] Such as figure 1 As shown, the on-line prediction system of low-carbon ferrochrome end-point composition in electro-silicothermal smelting of the present invention includes: an information acquisition device and a computer processing system composed of an electric meter, a water meter, a gas meter, and a PLC electric furnace control system. Among them, electricity meters, water meters, and gas meters communicate with the computer processing system through the 485 network, and the PLC electric furnace control system communicates with the computer processing system through Ethernet to realize data transmission.

[0019] Such as figure 2 As shown, the online prediction system for the end-point composition of low-carbon ferrochrome in electro-silicothermal smelting of the present invention uses a computer processing system to complete the online end-p...

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 discloses an online prediction system for terminal composition of low-carbon ferrochromium in silicothermic smelting, which relates to the technical field of ore smelting. The system comprises an information acquisition device and a computer processing system; the information acquisition device communicates with the computer processing system through a network and is used for acquiring the data required for online prediction of the terminal composition of the low-carbon ferrochromium; the computer processing system constructs a work condition-based online prediction model for the terminal composition of the low-carbon ferrochromium in the silicothermic smelting for the acquired data by a multi-scale SVM (support vector machine) information merging method, thereby implementing online prediction for the terminal composition of the low-carbon ferrochromium in the silicothermic smelting, and making a webpage of the prediction result for real-time online query. The invention has the beneficial effects that by utilizing the method provided by the invention, the prediction accuracy is effectively enhanced, and the prediction result is more accurate, more reasonable and more practical.

Description

Technical field [0001] The invention relates to the technical field of submerged arc furnace smelting, in particular to an on-line prediction system of low-carbon ferrochromium end point composition in electric silicon thermal smelting. Background technique [0002] The electro-silicothermal method refers to a method in which silicon in a silicon-chromium alloy is used to reduce the oxides of chromium and iron in chromium ore to produce low-carbon ferrochrome under the condition of making alkaline slag in a submerged arc furnace. The end-point composition of low-carbon ferrochromium in electrosilicothermal smelting includes temperature, carbon content and silicon content. The online prediction of these three variables is not only related to the judgment of the end point of smelting, but also to determine the iron tapping time. It also plays a key guiding role in the power supply system, production quality, energy saving and consumption reduction of the entire smelting process. [...

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): C22B4/06C22C27/06C22C1/02
Inventor 张袅娜张德江杨宏韬张广来
Owner CHANGCHUN 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
Eureka Blog
Learn More
PatSnap group products