WO2023070692A1 - 一种高炉炉况在线评价系统 - Google Patents

一种高炉炉况在线评价系统 Download PDF

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WO2023070692A1
WO2023070692A1 PCT/CN2021/128122 CN2021128122W WO2023070692A1 WO 2023070692 A1 WO2023070692 A1 WO 2023070692A1 CN 2021128122 W CN2021128122 W CN 2021128122W WO 2023070692 A1 WO2023070692 A1 WO 2023070692A1
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blast furnace
data
evaluation
module
furnace
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French (fr)
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李鹏
方明新
叶理德
吴映江
刘书文
秦涔
崔伟
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中冶南方工程技术有限公司
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    • 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

Definitions

  • the invention relates to the field of blast furnace ironmaking, in particular to an online evaluation system for blast furnace conditions.
  • blast furnace stability is the key factor to achieve stable blast furnace production and reduce fuel consumption.
  • blast furnace smelting is a closed, complex, large-delay, and non-linear process. If the status of the blast furnace cannot be grasped in real time, the production process cannot be effectively controlled in a timely manner. control, resulting in abnormal furnace conditions and even affecting the normal production of the blast furnace.
  • the monitoring of blast furnace conditions mainly relies on the manual monitoring of operators, which not only wastes a lot of manpower, but is also limited by the experience of the operators themselves. For this reason, some companies have developed and used corresponding furnace condition evaluation systems. However, in the current systems, some are for index evaluation for a period of time, and cannot realize online monitoring of furnace conditions, and some are for various parameters. Complicated calculations and random combinations are not only difficult to understand, but also confusing information, which is very inconvenient to use and difficult to promote further.
  • the present invention proposes an online evaluation system for blast furnace conditions.
  • An online blast furnace condition evaluation system comprising: a data acquisition module, a blast furnace condition evaluation module, a graphic display module and a storage module, wherein:
  • the data acquisition module collects the working condition data of the blast furnace in real time, and preprocesses the collected 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 multiple evaluation units contained therein, and sends the analysis results to the graphic display module and storage module;
  • the graphic display module receives the analysis results sent by the blast furnace condition evaluation module, and converts the analysis results into corresponding display graphics for display;
  • the storage module receives and stores the analysis results sent by the blast furnace condition evaluation module.
  • the working condition data include gas utilization rate, top temperature, air permeability index, static pressure of furnace shaft, air volume, wind pressure, bosh gas index, theoretical combustion temperature, probe data, temperature of stave stave thermocouple, furnace Core temperature, hearth side wall temperature, molten iron temperature, silicon content, blast furnace ore blending information and coke quality.
  • preprocessing includes: range analysis of gas utilization rate; range analysis of top temperature; mean value and variance analysis of furnace static pressure; variance analysis of air volume; variance analysis of wind pressure; probe derivative and variance analysis; Average processing of blast furnace shaft, waist and bosh stave temperature; validity confirmation and average processing of hearth thermocouple temperature data; comprehensive analysis of blast furnace ore blending information.
  • the evaluation unit includes: the evaluation unit of each state parameter, the gas flow state evaluation unit, the charge state evaluation unit, the furnace type state evaluation unit, the furnace heat state evaluation unit, the safety state evaluation unit, the raw fuel quality evaluation unit and the blast furnace overall state evaluation unit.
  • 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.
  • the gas flow state evaluation unit is used to evaluate the furnace top gas utilization rate data, top temperature data, air permeability index data, shaft static pressure data, air volume data, wind pressure data, bosh gas index data, theoretical combustion temperature data and The evaluation unit corresponding to the state parameters judges the evaluation index of the overall air flow of the blast furnace.
  • the furnace heat evaluation unit is used for stave data at the lower shaft, waist stave data, bosh stave data, furnace core temperature data, hearth side wall temperature data, molten iron temperature data, silicon content data and corresponding
  • the evaluation unit of the state parameter judges the state of the furnace heat of the blast furnace.
  • the safety rating unit is used to calculate the actual internal shape of the blast furnace hearth according to the hearth design and the physical parameters of the refractory material, and evaluate the safety status of the blast furnace according to the thinnest position of each part.
  • the graphic display module also includes extracting and displaying unreached status parameters from the analysis results.
  • the graphic display module uses a radar chart for displaying graphics, and the content of the radar chart includes the airflow status score, the charge status score, the furnace type status score, the furnace heat status score, and the safety status score.
  • the present invention adopts the above technical scheme to evaluate the state of the blast furnace based on the state parameters of the blast furnace collected in real time, and clearly shows the air flow, blanking, furnace type, furnace heat, safety and other parts of the blast furnace as well as the overall furnace state evaluation through graphics , to help the operator understand the overall status of the blast furnace in real time, and make adjustments in time to maintain the stability of the blast furnace.
  • FIG. 1 is a schematic structural diagram of Embodiment 1 of the present invention.
  • An embodiment of the present invention provides an online blast furnace condition evaluation system, as shown in Figure 1, comprising: a data acquisition module, a blast furnace condition evaluation module, a graphic display module and a storage module, wherein:
  • the data acquisition module collects the working condition data of the blast furnace in real time, preprocesses the collected working condition data, and sends the preprocessed data to the blast furnace condition evaluation module.
  • the working condition data is the data representing the working condition of the blast furnace.
  • the working condition data includes gas utilization rate, top temperature, air permeability index, static pressure of furnace shaft, air volume, wind pressure, bosh gas index, theoretical combustion temperature, probe Ruler data, stave thermocouple temperature, furnace core temperature, hearth side wall temperature, molten iron temperature, silicon content, blast furnace ore blending information, coke quality, etc.
  • gas utilization rate top temperature
  • air permeability index static pressure of furnace shaft
  • air volume air volume
  • wind pressure bosh gas index
  • theoretical combustion temperature probe Ruler data
  • stave thermocouple temperature furnace core temperature
  • hearth side wall temperature molten iron temperature
  • silicon content silicon content
  • blast furnace ore blending information coke quality, etc.
  • the preprocessing in this embodiment includes: range analysis of gas utilization rate; range analysis of top temperature; mean value and variance analysis of furnace body static pressure; variance analysis of air volume; variance analysis of wind pressure; Probing rod derivation and variance analysis; average processing of blast furnace shaft, waist and bosh stave temperature; validity confirmation and average processing of hearth thermocouple temperature data; comprehensive analysis of blast furnace ore blending information.
  • the blast furnace status evaluation module receives the data sent by the data acquisition module, performs blast furnace evaluation analysis based on the received data and multiple evaluation units contained in it, and sends the analysis results to the graphic display module and storage module.
  • the evaluation unit is a computing unit that stores evaluation algorithms, and each evaluation algorithm corresponds to an evaluation unit.
  • the evaluation units included in the blast furnace condition evaluation module in this embodiment include: evaluation units for each state parameter, air flow state evaluation unit, charge state Evaluation unit, furnace type state evaluation unit, furnace thermal state evaluation unit, safety state evaluation unit, raw fuel quality evaluation unit and blast furnace overall state evaluation unit. in:
  • the evaluation unit of each state parameter belongs to the offline system.
  • the system collects the data of each parameter and the corresponding technical and economic indicators of blast furnace production, and obtains the score of the parameters through the correspondence between parameters and indicators. Further, the overall data of the shaft, waist, and bosh stave are corresponding to the technical and economic indicators, and the corresponding method can be a clustering algorithm.
  • the clustering algorithm can use K-means, AP and other algorithms .
  • Raw fuel data are evaluated according to the scope of the corresponding operating procedures.
  • the gas flow state evaluation unit is used to evaluate the furnace top gas utilization rate data, top temperature data, air permeability index data, furnace body static pressure data, air volume data, wind pressure data, bosh gas index data, theoretical combustion temperature data and corresponding state parameters
  • the evaluation unit judges the evaluation index of the overall blast furnace air flow.
  • the charge evaluation unit is used to judge the charge state of the blast furnace according to the probe data and the evaluation unit corresponding to the state parameters.
  • Furnace thermal evaluation unit is used to evaluate the temperature of the furnace according to the lower stave data, waist stave data, bosh stave data, furnace core temperature data, hearth side wall temperature data, molten iron temperature data, silicon content data and corresponding state parameters.
  • the evaluation unit judges the state of the blast furnace heat.
  • the safety rating unit is used to calculate the actual internal shape of the blast furnace hearth according to the design of the hearth and the physical parameters of refractory materials, and evaluate the safety status of the blast furnace according to the thinnest position of each part.
  • the raw fuel quality evaluation unit is used for judging the quality level of the charge according to the batch information data of the charge.
  • the overall state evaluation unit of the blast furnace is used to judge the overall state of the blast furnace according to the scoring data of the airflow state, charge, furnace type, furnace heat, and safety evaluation unit mentioned above. Specifically, each scoring data is weighted and summed.
  • the graphic display module receives the analysis results sent by the blast furnace condition evaluation module, and converts the analysis results into corresponding display graphics for display.
  • the graphic display module also includes extracting unqualified state parameters from the analysis results for display, and the specific displayed content includes: blast furnace total score, raw fuel score, airflow state score, charge state score, furnace type state score, Furnace Thermal Status Score, Safety Status Score and Non-attainment sub-item information.
  • the display graph is set to be a radar chart, and the content of the radar chart includes airflow status score, charge status score, furnace type status score, furnace heat status score, and safety status score.
  • the storage module receives and stores the analysis results sent by the blast furnace condition evaluation module.
  • the analysis results are stored in the storage module in the form of a table for subsequent query.
  • the embodiment of the present invention collects the state parameter data of the blast furnace in real time, and obtains the state score of multiple dimensions such as raw fuel score, blast furnace air flow, furnace charge, furnace type, furnace heat, safety, and the total score of the blast furnace state through the calculation of the blast furnace condition evaluation module. And the calculation results are converted into images and structured data tables to help operators intuitively understand the status of the blast furnace, and then take adjustment measures in time to achieve safe and stable operation of the blast furnace.

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Abstract

一种高炉炉况在线评价系统，包括：数据采集模块、高炉炉况评价模块、图形显示模块和存储模块，其中：数据采集模块实时采集高炉运行时的工况数据，并对采集的工况数据进行预处理，将预处理后的数据发送至高炉炉况评价模块；高炉炉况评价模块接收数据采集模块发送的数据，并根据接收的数据和其包含的多个评价单元进行高炉评价分析，将分析结果发送至图形显示模块和存储模块；图形显示模块接收高炉炉况评价模块发送的分析结果，并将分析结果转换为对应的显示图形进行显示；存储模块接收高炉炉况评价模块发送的分析结果，并进行存储。高炉炉况在线评价系统可以帮助操作者实时了解高炉地整体状态，及时进行调整以维持高炉的稳定顺行。

Description

一种高炉炉况在线评价系统 技术领域
本发明涉及高炉炼铁领域，尤其涉及一种高炉炉况在线评价系统。
背景技术
高炉稳定顺行是实现高炉稳定产量，降低燃料消耗的关键因素，但高炉冶炼是一个封闭、复杂、大滞后、非线性的过程，如果不能实时掌握高炉状态，就无法及时对生产过程进行有效的控制，从而造成炉况失常，甚至影响高炉的正常生产。
目前，高炉炉况的监测主要是依靠操作人员的人工监视，不仅浪费了大量人力，还受限于操作人员自身的经验。为此，已经有企业开发了并使用了相应的炉况评估系统，但目前的系统中，有的是针对一段时间的指标评价，无法实现对炉况的在线监视，有的则是对各种参数的复杂计算和随意组合，不仅难以理解，而且信息混乱，使用起来非常不便，也难以进一步推广。
发明内容
为了解决上述问题，本发明提出了一种高炉炉况在线评价系统。
具体方案如下：
一种高炉炉况在线评价系统，包括：数据采集模块、高炉炉况评价模块、图形显示模块和存储模块，其中：
数据采集模块实时采集高炉运行时的工况数据，并对采集的工况数据进行 预处理，将预处理后的数据发送至高炉炉况评价模块；
高炉炉况评价模块接收数据采集模块发送的数据，并根据接收的数据和其包含的多个评价单元进行高炉评价分析，将分析结果发送至图形显示模块和存储模块；
图形显示模块接收高炉炉况评价模块发送的分析结果，并将分析结果转换为对应的显示图形进行显示；
存储模块接收高炉炉况评价模块发送的分析结果，并进行存储。
进一步的，工况数据包括煤气利用率、顶温、透气性指数、炉身静压力、风量、风压、炉腹煤气指数、理论燃烧温度、探尺数据、炉身冷却壁热电偶温度、炉芯温度、炉缸侧壁温度、铁水温度、硅含量、高炉配矿信息和焦炭质量。
进一步的，预处理包括：对煤气利用率的极差分析；顶温的极差分析；炉身静压力的均值及方差分析；风量方差分析；风压方差分析；探尺求导及方差分析；高炉炉身、炉腰和炉腹冷却壁温度的平均处理；炉缸热电偶温度数据有效性确认及平均处理；高炉配矿信息的综合分析。
进一步的，评价单元包括：各状态参数的评价单元、气流状态评价单元、炉料状态评价单元、炉型状态评价单元、炉热状态评价单元、安全状态评价单元、原燃料质量评价单元和高炉总状态评价单元。
进一步的，各状态参数的评价单元将各状态参数的值转换为对应的高炉生产的技术经济指标的值，根据技术经济指标的值的大小为各状态参数进行评分。
进一步的，气流状态评价单元用于根据炉顶煤气利用率数据、顶温数据、透气性指数数据、炉身静压力数据、风量数据、风压数据、炉腹煤气指数数据、理论燃烧温度数据和对应状态参数的评价单元判断高炉整体气流的评价指数。
进一步的，炉热评价单元用于根据炉身下部冷却壁数据、炉腰冷却壁数据、炉腹冷却壁数据、炉芯温度数据、炉缸侧壁温度数据、铁水温度数据、硅含量数据以及对应状态参数的评价单元判断高炉炉热的状态。
进一步的，安全评级单元用于根据炉缸设计及耐火材料的物性参数计算高炉炉缸的实际内部形状，并根据各部分最薄位置的情况评价高炉的安全状态。
进一步的，图形显示模块还包括从分析结果中提取未达标的状态参数进行显示。
进一步的，图形显示模块显示图形采用雷达图，雷达图内容包含气流状态评分、炉料状态评分、炉型状态评分、炉热状态评分、安全状态评分。
本发明采用如上技术方案，基于实时采集的高炉状态参数对高炉炉况进行评价，并通过图形清晰地展示出高炉的气流、下料、炉型、炉热、安全等部分以及整体的炉况评价，帮助操作者实时了解高炉地整体状态，及时进行调整以维持高炉的稳定顺行。
附图说明
图1所示为本发明实施例一的结构示意图。
具体实施方式
为进一步说明各实施例，本发明提供有附图。这些附图为本发明揭露内容的一部分，其主要用以说明实施例，并可配合说明书的相关描述来解释实施例的运作原理。配合参考这些内容，本领域普通技术人员应能理解其他可能的实施方式以及本发明的优点。
现结合附图和具体实施方式对本发明进一步说明。
实施例一：
本发明实施例提供了一种高炉炉况在线评价系统，如图1所示，包括：数据采集模块、高炉炉况评价模块、图形显示模块和存储模块，其中：
数据采集模块实时采集高炉运行时的工况数据，并对采集的工况数据进行预处理，将预处理后的数据发送至高炉炉况评价模块。
工况数据为表征高炉工作状态的数据，该实施例中工况数据包括煤气利用率、顶温、透气性指数、炉身静压力、风量、风压、炉腹煤气指数、理论燃烧温度、探尺数据、炉身冷却壁热电偶温度、炉芯温度、炉缸侧壁温度、铁水温度、硅含量、高炉配矿信息、焦炭质量等，在其他实施例中本领域技术人员可以根据实际使用需求增减工况数据，在此不做限定。
基于上述的工况数据，该实施例中预处理包括：对煤气利用率的极差分析；顶温的极差分析；炉身静压力的均值及方差分析；风量方差分析；风压方差分析；探尺求导及方差分析；高炉炉身、炉腰和炉腹冷却壁温度的平均处理；炉缸热电偶温度数据有效性确认及平均处理；高炉配矿信息的综合分析。
高炉炉况评价模块接收数据采集模块发送的数据，并根据接收的数据和其包含的多个评价单元进行高炉评价分析，将分析结果发送至图形显示模块和存储模块。
评价单元为存储有评价算法的计算单元，每种评价算法对应一个评价单元，该实施例中高炉炉况评价模块中包含的评价单元包括：各状态参数的评价单元、气流状态评价单元、炉料状态评价单元、炉型状态评价单元、炉热状态评价单元、安全状态评价单元、原燃料质量评价单元和高炉总状态评价单元。其中：
各状态参数的评价单元属于离线系统，该系统收集各参数的数据以及对应 的高炉生产的技术经济指标，通过参数与指标的对应获取参数的评分。进一步的，炉身、炉腰、炉腹冷却壁数据整体与技术经济指标进行对应，对应的方法可以为聚类算法，在具体的实施过程中，聚类算法可采用K‐means、AP等算法。
原燃料数据根据对应的操作规程范围进行评价。
气流状态评价单元用于根据炉顶煤气利用率数据、顶温数据、透气性指数数据、炉身静压力数据、风量数据、风压数据、炉腹煤气指数数据、理论燃烧温度数据和对应状态参数的评价单元判断高炉整体气流的评价指数。
炉料评价单元用于根据探尺数据以及对应的状态参数的评价单元判断高炉的炉料状态。
炉热评价单元用于根据炉身下部冷却壁数据、炉腰冷却壁数据、炉腹冷却壁数据、炉芯温度数据、炉缸侧壁温度数据、铁水温度数据、硅含量数据以及对应状态参数的评价单元判断高炉炉热的状态。
安全评级单元用于根据炉缸设计及耐火材料的物性参数计算高炉炉缸的实际内部形状，并根据各部分最薄位置的情况评价高炉的安全状态。
原燃料质量评价单元用于根据炉料的料批信息数据判断炉料的质量水平。
高炉总状态评价单元用于根据上述气流状态、炉料、炉型、炉热、安全评价单元的评分数据判断整体的高炉状态，具体为将各评分数据进行加权求和。
图形显示模块接收高炉炉况评价模块发送的分析结果，并将分析结果转换为对应的显示图形进行显示。
该实施例中图形显示模块还包括从分析结果中提取未达标的状态参数进行显示，则具体显示的内容包括：高炉总评分、原燃料评分、气流状态评分、炉料状态评分、炉型状态评分、炉热状态评分、安全状态评分和未达标子项信息。 优选的，设定显示图形为雷达图，雷达图内容包含气流状态评分、炉料状态评分、炉型状态评分、炉热状态评分、安全状态评分。
存储模块接收高炉炉况评价模块发送的分析结果，并进行存储。该实施例中分析结果通过表格的方式存储在存储模块内，以便后续的查询。
本发明实施例实时采集高炉的状态参数数据，通过高炉炉况评价模块计算获得原燃料评分、高炉气流、炉料、炉型、炉热、安全等多个维度的状态评分以及高炉状态的总得分，并将计算结果转换为图像和结构化数据表，帮助操作者直观了解高炉的状态，进而能够及时采取调剂手段，实现高炉的安全、稳定运行。
尽管结合优选实施方案具体展示和介绍了本发明，但所属领域的技术人员应该明白，在不脱离所附权利要求书所限定的本发明的精神和范围内，在形式上和细节上可以对本发明做出各种变化，均为本发明的保护范围。

Claims (10)

  1. 一种高炉炉况在线评价系统，其特征在于，包括：数据采集模块、高炉炉况评价模块、图形显示模块和存储模块，其中：
    数据采集模块实时采集高炉运行时的工况数据，并对采集的工况数据进行预处理，将预处理后的数据发送至高炉炉况评价模块；
    高炉炉况评价模块接收数据采集模块发送的数据，并根据接收的数据和其包含的多个评价单元进行高炉评价分析，将分析结果发送至图形显示模块和存储模块；
    图形显示模块接收高炉炉况评价模块发送的分析结果，并将分析结果转换为对应的显示图形进行显示；
    存储模块接收高炉炉况评价模块发送的分析结果，并进行存储。
  2. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：工况数据包括煤气利用率、顶温、透气性指数、炉身静压力、风量、风压、炉腹煤气指数、理论燃烧温度、探尺数据、炉身冷却壁热电偶温度、炉芯温度、炉缸侧壁温度、铁水温度、硅含量、高炉配矿信息和焦炭质量。
  3. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：预处理包括：对煤气利用率的极差分析；顶温的极差分析；炉身静压力的均值及方差分析；风量方差分析；风压方差分析；探尺求导及方差分析；高炉炉身、炉腰和炉腹冷却壁温度的平均处理；炉缸热电偶温度数据有效性确认及平均处理；高炉配矿信息的综合分析。
  4. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：评价单元包括：各状态参数的评价单元、气流状态评价单元、炉料状态评价单元、炉型状态评价单元、炉热状态评价单元、安全状态评价单元、原燃料质量评价单元和 高炉总状态评价单元。
  5. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：各状态参数的评价单元将各状态参数的值转换为对应的高炉生产的技术经济指标的值，根据技术经济指标的值的大小为各状态参数进行评分。
  6. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：气流状态评价单元用于根据炉顶煤气利用率数据、顶温数据、透气性指数数据、炉身静压力数据、风量数据、风压数据、炉腹煤气指数数据、理论燃烧温度数据和对应状态参数的评价单元判断高炉整体气流的评价指数。
  7. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：炉热评价单元用于根据炉身下部冷却壁数据、炉腰冷却壁数据、炉腹冷却壁数据、炉芯温度数据、炉缸侧壁温度数据、铁水温度数据、硅含量数据以及对应状态参数的评价单元判断高炉炉热的状态。
  8. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：安全评级单元用于根据炉缸设计及耐火材料的物性参数计算高炉炉缸的实际内部形状，并根据各部分最薄位置的情况评价高炉的安全状态。
  9. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：图形显示模块还包括从分析结果中提取未达标的状态参数进行显示。
  10. 根据权利要求1所述的高炉炉况在线评价系统，其特征在于：图形显示模块显示图形采用雷达图，雷达图内容包含气流状态评分、炉料状态评分、炉型状态评分、炉热状态评分、安全状态评分。
PCT/CN2021/128122 2021-10-26 2021-11-02 一种高炉炉况在线评价系统 WO2023070692A1 (zh)

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