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Blast furnace big data application system

An application system and big data technology, applied in data processing applications, special data processing applications, blast furnaces, etc., can solve the problems of underutilization of ironmaking data, blanks in intelligent manufacturing, etc., to improve effectiveness and practicability, improve Effectiveness of mastery, improved operations and management

Active Publication Date: 2018-11-06
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing information systems of blast furnace ironmaking are mostly focused on basic automation and production planning management. The diagnosis and operation of blast furnace production status are mostly based on manual experience and subjective judgment. The accumulated ironmaking data has not been fully utilized. Intelligent manufacturing Relatively blank in the field of intelligent ironmaking

Method used

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  • Blast furnace big data application system
  • Blast furnace big data application system
  • Blast furnace big data application system

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Embodiment 1

[0033] Such as Figure 1A with Figure 1B as shown, Figure 1B for Figure 1A In the enlarged schematic diagram on the left side, the network architecture of the blast furnace big data application system in this embodiment is based on the edge computer-blast furnace private cloud. Real-time data collection and data preprocessing of blast furnace production are completed by the edge computer, and blast furnace big data analysis and mining, blast furnace mechanism modeling and digital simulation, blast furnace process analysis and prediction, and autonomous learning are performed on the blast furnace private cloud.

[0034] In terms of layer data analysis, the business architecture of the blast furnace big data application system in this embodiment can be composed of a data perception layer, a data analysis and storage layer, a data application layer, and a data presentation layer. Among them, the data perception layer obtains the data obtained by the edge computer in a two-way...

Embodiment 2

[0053] Such as figure 2 As shown, the blast furnace big data application system includes: detection and monitoring subsystem 01, data conversion platform 02, data association analysis and mining subsystem 03, blast furnace mechanism modeling and digital simulation subsystem 04, blast furnace process analysis and prediction subsystem 05 , Foreman support subsystem 06, data-based autonomous learning subsystem 07.

[0054] Among the above subsystems, detection and monitoring subsystem 01 and data-based autonomous learning subsystem 07 are implemented by edge computers, data association analysis and mining subsystem 03, blast furnace mechanism modeling and digital simulation subsystem 04, blast furnace process analysis and prediction Subsystem 05 is deployed in the blast furnace private cloud.

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Abstract

The invention discloses a blast furnace big data application system. The system comprises a detection and monitoring subsystem, a data conversion platform, a data association analysis and mining subsystem, a blast furnace mechanism modeling and digital simulation subsystem, a blast furnace process analysis and prediction subsystem and a foreman support subsystem, wherein the detection and monitoring subsystem is used to collect blast furnace iron-making process data; the data conversion platform is used to integrate the blast furnace iron-making data and acquire uniformly-represented blast furnace iron-making data; the data association analysis and mining subsystem is used to interact with the data conversion platform and further extract operation rules, modeling parameters and historicaldata traceability; the blast furnace mechanism modeling and digital simulation subsystem is used to establish a mathematical model for implementing blast furnace simulation; the blast furnace processanalysis and prediction subsystem is used to analyze a blast furnace production process; and the foreman support subsystem is used to push / display results of each of the above subsystems. The above system can make full use of data in multiple fields, gives a universal operation rule reference, enriches blast furnace iron-making analysis methods, provides tools for deeply knowing blast furnaces, and provides control suggestions or guidance for the long-life, high-quality, low-consumption and stable operation of the blast furnaces.

Description

technical field [0001] The invention belongs to the intelligent processing technology of blast furnace ironmaking data, and in particular relates to a blast furnace big data application system. Background technique [0002] At present, my country is in the process of transforming from a large manufacturing country to a manufacturing power. Promoting intelligent manufacturing in the steel industry is the primary task of my country's development of a manufacturing power. Among them, industrial big data, as a new asset, resource and production factor, plays an important role in the innovation and development of the steel industry. plays an important role. [0003] At present, the existing information systems of blast furnace ironmaking are mostly focused on basic automation and production planning management. The diagnosis and operation of blast furnace production status are mostly based on manual experience and subjective judgment. The accumulated ironmaking data has not been f...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q10/04G06Q10/06G06Q50/04C21B5/00
CPCG06Q10/04G06Q10/0639G06Q50/04C21B5/006C21B2300/04Y02P90/30
Inventor 汪晋宽韩英华马玉良
Owner NORTHEASTERN UNIV
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