Blast furnace iron feeding management data processing system and method

By designing a blast furnace iron inflow management data processing system, the problems of scattered and inaccurate data in steel production were solved, and centralized data management and accurate statistics were achieved, thereby improving production efficiency and quality.

CN122019839APending Publication Date: 2026-05-12HUATIAN NANJING ENG & TECH CORP MCC +3
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUATIAN NANJING ENG & TECH CORP MCC
Filing Date
2025-12-25
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

Traditional steel production data management methods suffer from problems such as data fragmentation, cumbersome statistics, untimely updates, and large human errors, making it difficult to provide accurate basis for production decisions.

Method used

Design a blast furnace iron arrival management data processing system, including data display, query, export and operation modules, to realize centralized data display, convenient data entry, modification and deletion, and provide flexible query and export functions.

Benefits of technology

It improves data management efficiency, reduces human error, ensures data accuracy, optimizes production decision support, and improves steel production efficiency and quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a blast furnace incoming iron management data processing system and method. Comprising a data display module, a query module, an export module and a data operation module. The data display module is provided with a converter molten steel receiving display unit, a molten steel receiving team statistical display unit, a blast furnace incoming iron scrap display unit and a blast furnace incoming iron team statistical display unit; and the converter molten steel receiving and displaying unit is used for displaying detailed data received by the converter, wherein the detailed data comprises converter heat, blast furnace heat, time, ladle number, molten iron components and operation information. According to the invention, by integrating blast furnace incoming iron related data and intensively displaying various types of data on different pages, unified management of the data is realized. Meanwhile, convenient data entry, modification and deletion operation and efficient query and export functions are achieved, the time and labor cost of data management are greatly saved, and the data management efficiency is improved.
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Description

Technical Field

[0001] This invention relates to the field of steel production data management technology, and in particular to a blast furnace iron inlet management data processing system and method. Background Technology

[0002] In the steel production process, the management of blast furnace incoming iron data is crucial. Accurate and timely access to data such as converter molten steel receiving, molten steel receiving team statistics, blast furnace incoming iron and scrap steel, and blast furnace incoming iron team statistics is essential for optimizing production processes, improving product quality, and reducing production costs. However, traditional steel production data management methods have many problems. For example, data records are scattered, making centralized and unified querying and analysis difficult; data statistics are cumbersome and prone to human error; and the lack of efficient data entry, modification, and deletion mechanisms leads to untimely data updates, failing to provide accurate basis for production decisions. With the continuous expansion of steel production scale and the increasing complexity of production processes, these problems are becoming increasingly prominent, urgently requiring a new technological solution to address the challenges of blast furnace incoming iron management data processing. Summary of the Invention

[0003] To overcome the above-mentioned defects, the purpose of this invention is to provide a blast furnace iron arrival management data processing system and method to achieve efficient management, accurate statistics and convenient operation of blast furnace iron arrival related data, thereby improving the informatization level and production efficiency of steel production.

[0004] To achieve the above objectives, the blast furnace iron supply management data processing system of the present invention includes a data display module, a query module, an export module, and a data operation module.

[0005] Furthermore, the data display module includes a converter molten steel receiving display unit, a molten steel receiving team statistics display unit, a blast furnace incoming iron and scrap steel display unit, and a blast furnace incoming iron team statistics display unit.

[0006] Furthermore, the converter molten steel receiving and display unit is used to display detailed data on converter receiving, including converter heat number, blast furnace heat number, time, ladle number, molten iron composition, and operation information; Furthermore, the steel receiving team statistics display unit is used to display the data statistics of steel receiving for three shifts every day, including time, shift, team, and total net weight.

[0007] Furthermore, the blast furnace incoming scrap steel display unit is used to display data details of the blast furnace incoming scrap steel, including: time, shift, work group, blast furnace number, ladle number, net weight, scrap steel quantity, molten iron temperature, and molten iron composition (C, Si, Mn, P, S).

[0008] Furthermore, the blast furnace iron arrival team statistics display unit is used to display the data statistics of iron arrival at the blast furnace for the three shifts every day, including the time, net weight, shift, and team.

[0009] Furthermore, the query module, in each display unit, is used to query data within a selected date range; or, Within each display unit, data for that specific flight can be retrieved based on the selected flight number; or, Each display unit is used to retrieve data for the selected work group.

[0010] Furthermore, the export module is used to export all data retrieved from each display unit according to a date range and save it locally, facilitating data backup, offline analysis, and data sharing for users.

[0011] Furthermore, the data operation module includes: The converter molten steel receiving unit is used for modifying and deleting individual data entries; In the blast furnace incoming iron and scrap steel unit, add, save, or delete new data records.

[0012] To achieve the above objectives, the blast furnace iron inflow management data processing method of the present invention includes the following steps: Data entry and update steps: Enter new data information according to the system prompts and the database will be updated automatically; Data query and filtering steps: Based on the query requirements, retrieve data that meets the criteria from the database in each module according to the query date range, and then display the data. Data export and backup steps: Save or share the queried data, and export it to a specified local path in a specific format (such as Excel, CSV, etc.) to achieve data backup and offline analysis, facilitating further data processing and research by users. The present invention has the following advantages: 1. Improved Data Management Efficiency: This invention integrates blast furnace iron-related data and centrally displays various data on different pages, achieving unified data management. Simultaneously, convenient data entry, modification, and deletion operations, along with efficient query and export functions, significantly save time and manpower costs in data management, thereby improving data management efficiency.

[0013] 2. Enhanced Data Accuracy: The system offers multiple data operation methods, such as keyboard input and one-click save on the "Blast Furnace Iron and Scrap Steel Incoming" page, reducing manual input errors and ensuring data accuracy. Furthermore, centralized data management and standardized operating procedures avoid data inconsistencies and erroneous records, improving data quality and providing a reliable basis for production decisions.

[0014] 3. Optimized Production Decision Support: Rich data visualization and flexible query functions enable production managers to quickly obtain the necessary data and understand the production situation in a timely manner. Through data analysis and mining, problems and potential patterns in the production process can be identified, providing strong support for optimizing production processes and adjusting production plans, thereby improving the overall efficiency and quality of steel production and reducing production costs. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the molten steel receiving process in a converter.

[0016] Figure 2 This is a statistical diagram of the molten steel receiving team.

[0017] Figure 3 This is a schematic diagram of the iron and scrap steel coming into the blast furnace. Figure 4 This is a statistical diagram of the blast furnace iron-receiving work teams. Detailed Implementation

[0018] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0019] In the description of this invention, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0020] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0021] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0022] The blast furnace iron supply management data processing system of the present invention includes a data display module, a query module, an export module, and a data operation module.

[0023] The data display module includes pages for "Converter Steel Receiving," "Steel Receiving Team Statistics," "Blast Furnace Iron and Scrap Steel Incoming," and "Blast Furnace Iron and Scrap Steel Incoming." The "Converter Steel Receiving" page displays detailed data on converter steel receiving, including converter heat number, blast furnace heat number, time, ladle number, iron composition (P, Si, Mn, S, etc.), and operational information. The "Steel Receiving Team Statistics" page displays daily statistics for steel receiving across three shifts, including time, shift, team, and total net weight. The "Blast Furnace Iron and Scrap Steel Incoming" page displays detailed data on blast furnace iron and scrap steel, covering time, shift, team, blast furnace heat number, ladle number, net weight, scrap steel quantity, iron temperature, and iron composition (C, Si, Mn, P, S). The "Blast Furnace Iron and Scrap Steel Incoming" page displays daily statistics for blast furnace iron arriving across three shifts, including time, net weight, shift, and team.

[0024] Query Module: Each subpage includes a "Query Date Range" option, allowing users to select a start and end time. Clicking the "Search" button will retrieve data within that time period. Users can also filter data by shift or work group for more precise filtering, meeting the specific data retrieval needs of different users.

[0025] Export module: Each page has an "Export" button. Clicking this button will allow the system to export all data displayed on the page that is queried according to the date range and save it locally, making it convenient for users to back up data, perform offline analysis, and share data.

[0026] Data Operation Module: The corresponding subpages for "Converter Steel Receiving" and "Blast Furnace Iron and Scrap Steel" have an "Add" button for adding new data records. For "Converter Steel Receiving" data, moving the mouse to the far right of each row reveals the "Modify" and "Delete" options in the operation bar, allowing modification and deletion of individual data entries. On the "Blast Furnace Iron and Scrap Steel" page, the mouse can be moved using the arrow keys to the corresponding input box for data entry. After entry, the "Save" button after each entry can be clicked to save that entry, or the "One-Click Save" button at the top can be used to save multiple entries at once. The "Delete" button at the top of the page can also be used to delete selected data.

[0027] The blast furnace iron arrival management data processing method of the present invention includes the following steps: data entry and updating: Operators click the "Add" button on the corresponding page (such as the "Converter Steel Receiving" or "Blast Furnace Iron and Scrap Steel Receiving" pages) and enter new data according to the system prompts. When entering data on the "Blast Furnace Iron and Scrap Steel Receiving" page, operators can use the keyboard arrow keys to quickly locate the input box. After completing the data entry, they can choose to save individually or save with one click, depending on their needs. For data that needs modification, operators can directly modify it in the input box and save the update after modification. On the "Converter Steel Receiving" page, operators can modify the data using the "Modify" button in the operation bar. After modification, the system will automatically update the database.

[0028] Data Query and Filtering: Users can select the start and end times in the "Query Date Range" section of each subpage according to their query needs. They can further select conditions such as shifts and work groups. Clicking the "Search" button will retrieve data matching the criteria from the database and display it on the page. The query results quickly and accurately present the information the user needs, improving data retrieval efficiency.

[0029] Data Export and Backup: When users need to save or share the queried data, they can click the "Export" button on the page. The system will export the query results in a specific format (such as Excel, CSV, etc.) to a specified local path, enabling data backup and offline analysis, which facilitates further processing and research of the data by users.

[0030] Example 1. Data Entry Example: When entering data on the "Blast Furnace Iron and Scrap Steel" page, the operator clicks the "Add" button, and a data entry box pops up. The operator uses the keyboard arrow keys to position the cursor in the "Time" input box and enters "2024-12-10 08:00:00". Then, the operator sequentially enters the shift "White", shift group "A", blast furnace number "3860", ladle number "15", net weight "120.00", scrap steel quantity "10.00", molten iron temperature "1370.00", and molten iron composition: C "4.50", Si "1.20", Mn "1.30", P "0.13", S "0.01". After completing the entry, the operator clicks the "Save" button, and the data is successfully saved to the system database. If multiple data entries need to be entered, they can be entered continuously. After completion, the operator clicks the "One-Click Save" button to save all entered data at once.

[0031] 2. Data Query Example: Production management personnel want to query the molten steel received by Converter #1 from December 8th to December 9th, 2024, and only view the data from the day shift. On the "Converter Molten Steel Receiving" page, the manager selects the start time "2024-12-08" and the end time "2024-12-09" in the "Query Date Range" section, selects "Day Shift" in the shift selection box, and clicks the "Search" button. The system quickly displays the data that meets the criteria, including detailed information such as converter heat number, blast furnace heat number, time, ladle number, and molten iron composition, facilitating viewing and analysis by management personnel.

[0032] 3. Data Export Example: The quality control department needs to conduct offline analysis of blast furnace incoming iron and scrap steel data from December 7th to December 9th, 2024, to assess the impact of molten iron quality and scrap steel addition on production. On the "Blast Furnace Incoming Iron and Scrap Steel" page, staff select the [Query Date Range] as "2024-12-07" to "2024-12-09", click the [Search] button to retrieve the data, and then click the [Export] button. The system will export the query results in Excel format to a specified local folder, allowing staff to perform in-depth analysis and processing of the data offline.

[0033] The present invention has been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the embodiments described above. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention. Many other changes and modifications made without departing from the concept and scope of the present invention should be considered within the scope of protection of the present invention.

[0034] In the description of this specification, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0035] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A blast furnace iron inlet management data processing system, characterized in that, It includes a data display module, a query module, an export module, and a data manipulation module.

2. The blast furnace iron supply management data processing system as described in claim 1, characterized in that, The data display module includes a converter molten steel receiving display unit, a molten steel receiving team statistics display unit, a blast furnace incoming iron and scrap steel display unit, and a blast furnace incoming iron team statistics display unit.

3. The blast furnace iron supply management data processing system as described in claim 2, characterized in that, The converter molten steel receiving and display unit is used to display detailed data on converter receiving, including converter heat number, blast furnace heat number, time, ladle number, molten iron composition, and operation information.

4. The blast furnace iron supply management data processing system as described in claim 2, characterized in that, The aforementioned steel receiving team statistics display unit is used to display the data statistics of steel receiving for three shifts every day, including time, shift, team, and total net weight.

5. The blast furnace iron supply management data processing system as described in claim 2, characterized in that, The aforementioned blast furnace incoming scrap steel display unit is used to display detailed data on incoming blast furnace scrap steel, including: time, shift, work group, blast furnace batch, ladle number, net weight, scrap steel quantity, molten iron temperature, and molten iron composition.

6. The blast furnace iron supply management data processing system as described in claim 2, characterized in that, The aforementioned blast furnace iron arrival team statistics display unit is used to display the data statistics of iron arrival at the blast furnace for three shifts every day, including time, net weight, shift, and team information.

7. The blast furnace iron supply management data processing system as described in claim 1, characterized in that, The query module in each display unit is used to query data within a selected date range; or, in each display unit, to query data for a selected shift; or, in each display unit, to query data for a selected work group.

8. The blast furnace iron supply management data processing system as described in claim 1, characterized in that, The export module is used to export all data retrieved from each display unit according to a date range and save it locally, facilitating data backup, offline analysis, and data sharing for users.

9. The blast furnace iron supply management data processing system as described in claim 1, characterized in that, The data operation module includes: The converter molten steel receiving unit is used for modifying and deleting individual data entries; In the blast furnace incoming iron and scrap steel unit, add, save, or delete new data records.

10. A method for processing blast furnace iron supply management data, characterized in that, The method includes the following steps: Data entry and update steps: Enter new data information according to the system prompts and the database will be updated automatically; Data query and filtering steps: Based on the query requirements, retrieve data that meets the criteria from the database in each module according to the query date range, and then display the data. Data export and backup steps: Save or share the queried data, and export it to a specified local path in a specific format to achieve data backup and offline analysis, making it convenient for users to further process and study the data.