CN114154787A - Blast furnace condition on-line evaluation system - Google Patents
Blast furnace condition on-line evaluation system Download PDFInfo
- Publication number
- CN114154787A CN114154787A CN202111246151.1A CN202111246151A CN114154787A CN 114154787 A CN114154787 A CN 114154787A CN 202111246151 A CN202111246151 A CN 202111246151A CN 114154787 A CN114154787 A CN 114154787A
- Authority
- CN
- China
- Prior art keywords
- blast furnace
- data
- furnace
- evaluation
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 101
- 238000004458 analytical method Methods 0.000 claims abstract description 27
- 238000001816 cooling Methods 0.000 claims description 16
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 14
- 210000001015 abdomen Anatomy 0.000 claims description 10
- 230000003068 static effect Effects 0.000 claims description 9
- 239000000446 fuel Substances 0.000 claims description 8
- 229910052742 iron Inorganic materials 0.000 claims description 7
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 6
- 238000002485 combustion reaction Methods 0.000 claims description 6
- 238000002156 mixing Methods 0.000 claims description 6
- 230000035699 permeability Effects 0.000 claims description 6
- 229910052710 silicon Inorganic materials 0.000 claims description 6
- 239000010703 silicon Substances 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 5
- 238000013441 quality evaluation Methods 0.000 claims description 4
- 238000012935 Averaging Methods 0.000 claims description 3
- 239000003034 coal gas Substances 0.000 claims description 3
- 239000000571 coke Substances 0.000 claims description 3
- 238000009795 derivation Methods 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 239000011819 refractory material Substances 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000003723 Smelting Methods 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/006—Automatically controlling the process
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9038—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Databases & Information Systems (AREA)
- Chemical & Material Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Computational Linguistics (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Manufacture Of Iron (AREA)
- Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
- Blast Furnaces (AREA)
Abstract
The invention relates to a blast furnace condition on-line evaluation system, comprising: data acquisition module, blast furnace condition evaluation module, graphic display module and storage module, wherein: the data acquisition module acquires working condition data of the blast furnace in real time during operation, preprocesses the acquired working condition data, and sends the preprocessed data to the blast furnace condition evaluation module; the blast furnace condition evaluation module receives the data sent by the data acquisition module, performs blast furnace evaluation and analysis according to the received data and a plurality of evaluation units contained in the data, and sends an analysis result to the graphic display module and the storage module; the graph display module receives the analysis result sent by the blast furnace condition evaluation module and converts the analysis result into a corresponding display graph for displaying; and the storage module receives and stores the analysis result sent by the blast furnace condition evaluation module. The invention can help the operator to know the whole state of the blast furnace in real time and adjust in time to maintain the stable and smooth operation of the blast furnace.
Description
Technical Field
The invention relates to the field of blast furnace iron making, in particular to a blast furnace condition online evaluation system.
Background
The stable and smooth running of the blast furnace is a key factor for realizing the stable yield of the blast furnace and reducing the fuel consumption, but the blast furnace smelting is a closed, complex, large-lag and nonlinear process, and if the state of the blast furnace cannot be mastered in real time, the production process cannot be effectively controlled in time, so that the abnormal furnace condition is caused, and the normal production of the blast furnace is even influenced.
At present, the monitoring of the condition of the blast furnace mainly depends on the manual monitoring of operators, which not only wastes a great deal of manpower, but also is limited by the experience of the operators. Therefore, corresponding furnace condition evaluation systems have been developed and used by enterprises, but some of the current systems are aimed at index evaluation for a period of time, and cannot realize online monitoring of furnace conditions, and some of the current systems are complex calculation and random combination of various parameters, so that the furnace condition evaluation systems are difficult to understand, disordered in information, inconvenient to use and difficult to further popularize.
Disclosure of Invention
In order to solve the problems, the invention provides an online evaluation system for the furnace condition of a blast furnace.
The specific scheme is as follows:
an on-line evaluation system for the furnace condition of a blast furnace comprises: data acquisition module, blast furnace condition evaluation module, graphic display module and storage module, wherein:
the data acquisition module acquires working condition data of the blast furnace in real time during operation, preprocesses the acquired working condition data, and sends the preprocessed data to the blast furnace condition evaluation module;
the blast furnace condition evaluation module receives the data sent by the data acquisition module, performs blast furnace evaluation and analysis according to the received data and a plurality of evaluation units contained in the data, and sends an analysis result to the graphic display module and the storage module;
the graph display module receives the analysis result sent by the blast furnace condition evaluation module and converts the analysis result into a corresponding display graph for displaying;
and the storage module receives and stores the analysis result sent by the blast furnace condition evaluation module.
Further, the working condition data comprises gas utilization rate, top temperature, permeability index, furnace body static pressure, air quantity, air pressure, furnace belly gas index, theoretical combustion temperature, stock rod data, furnace body cooling wall thermocouple temperature, furnace core temperature, furnace hearth side wall temperature, molten iron temperature, silicon content, blast furnace ore blending information and coke quality.
Further, the pretreatment comprises: analyzing the extreme difference of the utilization rate of the coal gas; analyzing extreme difference of the top temperature; analyzing the mean value and variance of the static pressure of the furnace body; analyzing the air volume variance; analyzing the wind pressure variance; carrying out stock rod derivation and variance analysis; carrying out average treatment on the temperatures of the cooling walls of the blast furnace body, the furnace waist and the furnace belly; confirming and averaging the validity of the temperature data of the thermocouple in the hearth; and comprehensively analyzing blast furnace ore blending information.
Further, the evaluation unit includes: evaluation units of all state parameters, an air flow state evaluation unit, a charging material state evaluation unit, a furnace shape state evaluation unit, a furnace heat state evaluation unit, a safety state evaluation unit, a raw fuel quality evaluation unit and a blast furnace general state evaluation unit.
Furthermore, the evaluation unit of each state parameter converts the value of each state parameter into the value of the corresponding technical and economic index of blast furnace production, and scores each state parameter according to the value of the technical and economic index.
Further, the air flow state evaluation unit is used for judging the evaluation index of the whole air flow of the blast furnace according to the evaluation units of the furnace top gas utilization rate data, the top temperature data, the air permeability index data, the furnace body static pressure data, the air volume data, the air pressure data, the furnace belly gas index data, the theoretical combustion temperature data and the corresponding state parameters.
Further, the furnace heat evaluation unit is used for judging the state of the blast furnace heat according to the evaluation units of the furnace shaft lower cooling wall data, the furnace waist cooling wall data, the furnace hearth cooling wall data, the furnace core temperature data, the furnace hearth side wall temperature data, the molten iron temperature data, the silicon content data and the corresponding state parameters.
Further, the safety rating unit is used for calculating the actual internal shape of the blast furnace hearth according to the hearth design and the physical parameters of the refractory materials, and evaluating the safety state of the blast furnace according to the condition of the thinnest position of each part.
Furthermore, the graphic display module also extracts the status parameters which do not reach the standard from the analysis result for display.
Furthermore, the graphic display module displays that the graphic adopts a radar map, and the contents of the radar map comprise an airflow state score, a furnace charge state score, a furnace type state score, a furnace heat state score and a safety state score.
According to the technical scheme, the blast furnace condition is evaluated based on the real-time collected blast furnace condition parameters, the partial and integral furnace condition evaluation of the blast furnace such as airflow, blanking, furnace type, furnace heat, safety and the like is clearly shown through the graphs, an operator is helped to know the integral state of the blast furnace in real time, and the adjustment is carried out in time to maintain the stable and smooth operation of the blast furnace.
Drawings
Fig. 1 is a schematic structural diagram of a first embodiment of the present invention.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
an embodiment of the present invention provides an online evaluation system for a furnace condition of a blast furnace, as shown in fig. 1, including: data acquisition module, blast furnace condition evaluation module, graphic display module and storage module, wherein:
the data acquisition module acquires working condition data of the blast furnace in real time during operation, preprocesses the acquired working condition data, and sends the preprocessed data to the blast furnace condition evaluation module.
The working condition data is data representing the working state of the blast furnace, and in the embodiment, the working condition data comprises gas utilization rate, top temperature, gas permeability index, furnace body static pressure, air quantity, air pressure, furnace belly gas index, theoretical combustion temperature, stock rod data, furnace body cooling wall thermocouple temperature, furnace core temperature, furnace hearth side wall temperature, molten iron temperature, silicon content, blast furnace ore blending information, coke quality and the like.
Based on the above operating condition data, the preprocessing in this embodiment includes: analyzing the extreme difference of the utilization rate of the coal gas; analyzing extreme difference of the top temperature; analyzing the mean value and variance of the static pressure of the furnace body; analyzing the air volume variance; analyzing the wind pressure variance; carrying out stock rod derivation and variance analysis; carrying out average treatment on the temperatures of the cooling walls of the blast furnace body, the furnace waist and the furnace belly; confirming and averaging the validity of the temperature data of the thermocouple in the hearth; and comprehensively analyzing blast furnace ore blending information.
And the blast furnace condition evaluation module receives the data sent by the data acquisition module, performs blast furnace evaluation and analysis according to the received data and a plurality of evaluation units contained in the data, and sends an analysis result to the graphic display module and the storage module.
The evaluation unit is a calculation unit in which evaluation algorithms are stored, each evaluation algorithm corresponds to one evaluation unit, and the evaluation unit included in the blast furnace condition evaluation module in the embodiment comprises: evaluation units of all state parameters, an air flow state evaluation unit, a charging material state evaluation unit, a furnace shape state evaluation unit, a furnace heat state evaluation unit, a safety state evaluation unit, a raw fuel quality evaluation unit and a blast furnace general state evaluation unit. Wherein:
the evaluation unit of each state parameter belongs to an off-line system, the system collects the data of each parameter and the corresponding technical and economic indexes of blast furnace production, and the grade of the parameter is obtained through the correspondence of the parameter and the indexes. Furthermore, the whole data of the furnace body, the furnace waist and the furnace belly cooling wall correspond to technical and economic indexes, the corresponding method can be a clustering algorithm, and in the specific implementation process, the clustering algorithm can adopt K-means, AP and other algorithms.
And evaluating the raw fuel data according to the corresponding operating rule range.
And the air flow state evaluation unit is used for judging the evaluation index of the whole air flow of the blast furnace according to the evaluation units of the utilization rate data of the top gas, the top temperature data, the air permeability index data, the static pressure data of the furnace body, the air volume data, the air pressure data, the gas index data of the furnace belly, the theoretical combustion temperature data and the corresponding state parameters.
And the furnace charge evaluation unit is used for judging the state of the furnace charge of the blast furnace according to the stock rod data and the evaluation unit of the corresponding state parameter.
The furnace heat evaluation unit is used for judging the state of the blast furnace heat according to the evaluation units of the furnace shaft lower cooling wall data, the furnace waist cooling wall data, the furnace hearth cooling wall data, the furnace core temperature data, the furnace hearth side wall temperature data, the molten iron temperature data, the silicon content data and the corresponding state parameters.
The safety rating unit is used for calculating the actual internal shape of the blast furnace hearth according to the hearth design and the physical parameters of the refractory materials, and evaluating the safety state of the blast furnace according to the condition of the thinnest position of each part.
And the raw fuel quality evaluation unit is used for judging the quality level of the furnace charge according to the batch information data of the furnace charge.
The blast furnace total state evaluation unit is used for judging the overall blast furnace state according to the grading data of the airflow state, the furnace burden, the furnace type, the furnace heat and the safety evaluation unit, and concretely, weighting and summing the grading data.
And the graph display module receives the analysis result sent by the blast furnace condition evaluation module and converts the analysis result into a corresponding display graph for displaying.
In this embodiment, the graphic display module further extracts the substandard state parameters from the analysis result for display, and the specific display content includes: the method comprises the following steps of total scoring of the blast furnace, scoring of raw fuel, scoring of the air flow state, scoring of the furnace material state, scoring of the furnace type state, scoring of the furnace heat state, scoring of the safety state and substandard sub-item information. Preferably, the display graph is set to be a radar graph, and the radar graph comprises an airflow state score, a furnace material state score, a furnace type state score, a furnace heat state score and a safety state score.
And the storage module receives and stores the analysis result sent by the blast furnace condition evaluation module. In the embodiment, the analysis result is stored in the storage module in a table mode so as to be convenient for subsequent query.
According to the embodiment of the invention, the state parameter data of the blast furnace is collected in real time, the state scores of multiple dimensions such as raw fuel scores, blast furnace airflow, furnace burden, furnace type, furnace heat, safety and the like and the total score of the state of the blast furnace are calculated and obtained through the blast furnace state evaluation module, and the calculation result is converted into the image and the structured data table, so that an operator can be helped to intuitively know the state of the blast furnace, and then a regulation means can be timely adopted, and the safe and stable operation of the blast furnace is realized.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An on-line evaluation system for the furnace condition of a blast furnace, comprising: data acquisition module, blast furnace condition evaluation module, graphic display module and storage module, wherein:
the data acquisition module acquires working condition data of the blast furnace in real time during operation, preprocesses the acquired working condition data, and sends the preprocessed data to the blast furnace condition evaluation module;
the blast furnace condition evaluation module receives the data sent by the data acquisition module, performs blast furnace evaluation and analysis according to the received data and a plurality of evaluation units contained in the data, and sends an analysis result to the graphic display module and the storage module;
the graph display module receives the analysis result sent by the blast furnace condition evaluation module and converts the analysis result into a corresponding display graph for displaying;
and the storage module receives and stores the analysis result sent by the blast furnace condition evaluation module.
2. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: the working condition data comprises gas utilization rate, top temperature, permeability index, furnace body static pressure, air quantity, air pressure, furnace belly gas index, theoretical combustion temperature, stock rod data, furnace body cooling wall thermocouple temperature, furnace core temperature, furnace hearth side wall temperature, molten iron temperature, silicon content, blast furnace ore blending information and coke quality.
3. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: the pretreatment comprises the following steps: analyzing the extreme difference of the utilization rate of the coal gas; analyzing extreme difference of the top temperature; analyzing the mean value and variance of the static pressure of the furnace body; analyzing the air volume variance; analyzing the wind pressure variance; carrying out stock rod derivation and variance analysis; carrying out average treatment on the temperatures of the cooling walls of the blast furnace body, the furnace waist and the furnace belly; confirming and averaging the validity of the temperature data of the thermocouple in the hearth; and comprehensively analyzing blast furnace ore blending information.
4. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: the evaluation unit includes: evaluation units of all state parameters, an air flow state evaluation unit, a charging material state evaluation unit, a furnace shape state evaluation unit, a furnace heat state evaluation unit, a safety state evaluation unit, a raw fuel quality evaluation unit and a blast furnace general state evaluation unit.
5. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: and the evaluation unit of each state parameter converts the value of each state parameter into the value of the corresponding technical and economic index of blast furnace production, and scores each state parameter according to the value of the technical and economic index.
6. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: and the air flow state evaluation unit is used for judging the evaluation index of the whole air flow of the blast furnace according to the evaluation units of the utilization rate data of the top gas, the top temperature data, the air permeability index data, the static pressure data of the furnace body, the air volume data, the air pressure data, the gas index data of the furnace belly, the theoretical combustion temperature data and the corresponding state parameters.
7. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: the furnace heat evaluation unit is used for judging the state of the blast furnace heat according to the evaluation units of the furnace shaft lower cooling wall data, the furnace waist cooling wall data, the furnace hearth cooling wall data, the furnace core temperature data, the furnace hearth side wall temperature data, the molten iron temperature data, the silicon content data and the corresponding state parameters.
8. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: the safety rating unit is used for calculating the actual internal shape of the blast furnace hearth according to the hearth design and the physical parameters of the refractory materials, and evaluating the safety state of the blast furnace according to the condition of the thinnest position of each part.
9. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: the graphic display module also extracts the substandard state parameters from the analysis result for display.
10. The on-line blast furnace condition evaluation system according to claim 1, characterized in that: the graph display module displays that a radar graph is adopted, and the radar graph content comprises an airflow state score, a furnace charge state score, a furnace type state score, a furnace heat state score and a safety state score.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111246151.1A CN114154787A (en) | 2021-10-26 | 2021-10-26 | Blast furnace condition on-line evaluation system |
PCT/CN2021/128122 WO2023070692A1 (en) | 2021-10-26 | 2021-11-02 | Online evaluation system for blast furnace condition |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111246151.1A CN114154787A (en) | 2021-10-26 | 2021-10-26 | Blast furnace condition on-line evaluation system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114154787A true CN114154787A (en) | 2022-03-08 |
Family
ID=80462879
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111246151.1A Pending CN114154787A (en) | 2021-10-26 | 2021-10-26 | Blast furnace condition on-line evaluation system |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN114154787A (en) |
WO (1) | WO2023070692A1 (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105400915A (en) * | 2015-12-29 | 2016-03-16 | 中冶赛迪工程技术股份有限公司 | Method and system for quantitatively evaluating distribution of gas flows on blast furnace top |
CN109800959A (en) * | 2018-12-25 | 2019-05-24 | 鞍钢集团朝阳钢铁有限公司 | A method of operation of blast furnace state is judged with index |
CN112458225A (en) * | 2020-11-26 | 2021-03-09 | 中冶南方工程技术有限公司 | Online monitoring system for liquid level of blast furnace hearth |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1038146C (en) * | 1993-07-21 | 1998-04-22 | 首钢总公司 | Computerized blast furnace smelting expert system method |
TW562865B (en) * | 2000-12-28 | 2003-11-21 | Nippon Steel Corp | Method, apparatus and recording medium for monitoring an operating condition of blast furnace |
JP6690081B2 (en) * | 2016-07-14 | 2020-04-28 | 株式会社神戸製鋼所 | Operation status evaluation system |
CN111831719A (en) * | 2020-07-22 | 2020-10-27 | 山东钢铁股份有限公司 | Intelligent control method and system for blast furnace ironmaking production process |
CN112270237B (en) * | 2020-10-22 | 2023-08-29 | 中冶南方工程技术有限公司 | Blast furnace gas flow state identification method, system and storage medium |
-
2021
- 2021-10-26 CN CN202111246151.1A patent/CN114154787A/en active Pending
- 2021-11-02 WO PCT/CN2021/128122 patent/WO2023070692A1/en unknown
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105400915A (en) * | 2015-12-29 | 2016-03-16 | 中冶赛迪工程技术股份有限公司 | Method and system for quantitatively evaluating distribution of gas flows on blast furnace top |
CN109800959A (en) * | 2018-12-25 | 2019-05-24 | 鞍钢集团朝阳钢铁有限公司 | A method of operation of blast furnace state is judged with index |
CN112458225A (en) * | 2020-11-26 | 2021-03-09 | 中冶南方工程技术有限公司 | Online monitoring system for liquid level of blast furnace hearth |
Also Published As
Publication number | Publication date |
---|---|
WO2023070692A1 (en) | 2023-05-04 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109063358B (en) | Novel blast furnace forward evaluation method | |
CN104630410B (en) | A kind of pneumatic steelmaking quality real-time dynamic forecast method based on data parsing | |
CN111593155B (en) | Blast furnace diagnosis system and method | |
CN111607673B (en) | Pre-iron diagnostic system and method | |
CN111639801B (en) | Scoring method and scoring system for blast furnace conditions | |
CN104388613A (en) | Method for quantitative evaluation of activeness of blast furnace hearth | |
CN102915027A (en) | Blast furnace smelting expert system built based on pattern recognition technology and method thereof | |
CN104593540A (en) | Method for evaluating energy efficiency in converter steelmaking process | |
CN109815282A (en) | A kind of ironmaking system big data platform | |
JP7272326B2 (en) | Operation Guidance Method, Blast Furnace Operation Method, Hot Metal Production Method, Operation Guidance Device | |
CN107619894A (en) | A kind of blast furnace operating type of furnace online management method | |
CN102925602B (en) | Furnace profile maintenance method for blast furnace operation | |
Jiang et al. | Polymorphic measurement method of FeO content of sinter based on heterogeneous features of infrared thermal images | |
CN114154787A (en) | Blast furnace condition on-line evaluation system | |
CN110373508A (en) | Cohesive zone recognition methods, device and electronic equipment | |
Xin et al. | Modeling of LF refining process: A review | |
CN114185976B (en) | Visual intelligent perception platform of blast furnace | |
CN103160629B (en) | Method for prediction of blast furnace heat tendency | |
Blachnik et al. | A model for temperature prediction of melted steel in the electric arc furnace (EAF) | |
EP3989013A1 (en) | Method for controlling process, operation guidance method, method for operating blast furnace, method for manufacturing molten iron, and device for controlling process | |
CN111639800B (en) | Method, device and storage medium for setting blast furnace process parameter range | |
CN107326133A (en) | Blast-furnace hot-air wind-warm syndrome monitoring method and device | |
CN103160626B (en) | Method for determining cold blast furnace hearth | |
CN113265498A (en) | Blast furnace type management and control method | |
CN111286570A (en) | Method for regulating and controlling abnormal operation furnace type by using scanning radar |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220308 |