Sintering-in-sintering structure evaluation system and method

Abstract

The invention relates to a sintering structure evaluation system and method, and belongs to the technical field of metallurgical systems and methods. According to the technical scheme, a sintering cup test, a metallurgical performance test and a molten drop furnace test are integrated, and nine key performance indexes are comprehensively analyzed and independently evaluated; and considering the cardinal number and the weight of each index, eliminating interference coefficients and negative values, calculating a comprehensive score of the sintered ore structure, evaluating the feasibility of the comprehensive score, and setting two-stage user authority management. The method has the beneficial effects that the comprehensiveness and the accuracy of evaluation are ensured, the user interface is friendly, the operation is simple, the data safety and the operation flexibility are ensured, the evaluation efficiency is improved, technical support is provided for the use of low-price raw materials, and the method has a remarkable guiding value for optimizing the sintering ore blending process, and is suitable for popularization and application. And the technical progress and cost control of the iron and steel industry are promoted.

Description

Technical Field

[0001] This invention relates to a sintering structure evaluation system and method, belonging to the technical field of metallurgical systems and methods. Background Technology

[0002] With economic development and changing market demands, the steel industry, as a crucial foundation of the national economy, is facing new challenges and transformation after a period of rapid growth. Against this backdrop, traditional steel production management models, especially simple and extensive ones, are no longer suitable for current development needs and urgently require transformation and upgrading to a more refined and cost-effective operating model.

[0003] Sintering is a crucial step in steel production, and its quality directly impacts the efficiency and cost of subsequent blast furnace smelting. Evaluating the sinter feed structure is a key step in ensuring that the sinter quality meets the requirements of blast furnace smelting. However, traditional evaluation methods often rely on experience-based judgment, lacking systematicity and scientific rigor, and are ill-suited to the current steel industry's demands for precise control and optimization.

[0004] To improve the quality and stability of sinter, a comprehensive and systematic evaluation of the sintering structure is required. Existing evaluation methods mainly include sintering cup tests, metallurgical performance tests, and drip furnace tests. While these methods can reflect the performance of sinter to some extent, they still have certain limitations. For example, sintering cup tests mainly simulate the actual production process but lack a comprehensive evaluation of the performance of sinter after it enters the furnace; metallurgical performance tests and drip furnace tests can provide some key performance parameters, but the evaluation process is complex and it is difficult to comprehensively consider the influence of multiple factors on the performance of sinter. Summary of the Invention

[0005] The purpose of this invention is to provide a sintering feed structure evaluation system and method. By considering the base, weight, interference elimination coefficient, and rejection value of each indicator, the system can accurately calculate the comprehensive score of the sintered ore structure, thereby effectively assessing its feasibility. The user interface is user-friendly and easy to operate, while the system's efficient data processing capabilities significantly reduce the impact of human factors on quality evaluation. The system also features two-level user permission management to ensure data security and operational flexibility. This not only improves evaluation efficiency but also provides technical support for the use of low-cost raw materials, offering significant guidance for optimizing the sintering ore blending process, promoting technological progress and cost control in the steel industry, and effectively solving the aforementioned problems in the background technology.

[0006] The technical solution of this invention is: a sintering feed structure evaluation system, comprising a data acquisition subsystem, a data processing and analysis subsystem, an evaluation model subsystem, and a user permission manager. These subsystems are sequentially connected. The data acquisition subsystem includes sensors, a data acquisition module, and a data input interface. The input end of the data input interface is connected to the sensors and automated equipment, and the output end is connected to the data acquisition module. The data acquisition module is connected to the data processing and analysis subsystem. The data processing and analysis subsystem includes an index analysis engine, which is responsible for in-depth analysis of the acquired data. The evaluation model subsystem includes a comprehensive scoring calculator, which calculates the comprehensive score of the sintering feed structure based on the analysis results provided by the index analysis engine. The user permission manager is used to distinguish and verify the permissions of first-level and second-level users. First-level users can input data, calculate the total score, modify key data values, and configure system parameters, while second-level users can only input data and view the total score.

[0007] It also includes a parameter configuration interface, a back-end data processing center, and a result display interface. The parameter configuration interface is located between the data processing and analysis subsystem and the evaluation model subsystem. The back-end data processing center is connected to the data processing and analysis subsystem, and the result display interface is connected to both the evaluation model subsystem and the user permission manager.

[0008] It also includes data recovery tools and custom evaluation indicator tools. The data recovery tools are connected to the data processing and analysis subsystem, and the custom evaluation indicator tools are connected to the evaluation model subsystem.

[0009] A method for evaluating the structure of sintered metal, comprising the following steps:

[0010] (1) Collect a series of key parameters and performance indicators related to the sintering process through the data acquisition subsystem;

[0011] (2) The data is cleaned, formatted and standardized to ensure data quality and prepare it for in-depth analysis;

[0012] (3) Use statistical methods to identify and exclude outliers in the data to improve the accuracy of subsequent analysis;

[0013] (4) Configure a base value and weight for each key performance indicator, and eliminate interference coefficients and negative values;

[0014] (5) Calculate the score of each indicator independently using the preset mathematical model and algorithm;

[0015] (6) Compare the actual measured value of each indicator with the negative value. Indicators that do not meet the standard are marked and given a score of zero.

[0016] (7) Summarize the scores of all indicators to obtain the comprehensive score of the sintering structure, which reflects the overall performance;

[0017] (8) Evaluation results are presented intuitively in graphical and numerical form through user interface prompts;

[0018] (9) The final evaluation results support users in making optimization decisions regarding the sintering ore blending process.

[0019] In step (1), the sintering cup test, metallurgical performance test and molten droplet furnace test are integrated to conduct a comprehensive analysis and independent evaluation of nine key performance indicators.

[0020] It also includes a parameter configuration interface that allows users to adjust the base value, weight value, interference elimination coefficient, and negation value of each key indicator according to actual production needs and raw material characteristics to adapt to different production conditions; it utilizes a back-end data processing center to store, manage, and process the input data, while providing data backup and recovery functions to ensure data security and accuracy; and through the results display interface, it intuitively displays the score of each key indicator, the overall score, and a detailed analysis report of the evaluation results in graphical and numerical form, enabling users to quickly understand the evaluation results and make corresponding decisions.

[0021] It also includes a system where, for each key indicator, if the actual measured data is worse than the preset negative value, the indicator scores zero, indicating that the indicator has not met the basic quality requirements; if the actual measured data is better than the preset baseline and does not reach the negative value, the score of the indicator is calculated according to a specific formula, where the coefficient, weight value, interference exclusion coefficient, and negative value together determine the score.

[0022] The system defaults to the base values ​​of each indicator. If some indicators are not detected or no data is entered, the system assumes that these undetected indicators will not affect the calculation of the total score.

[0023] Users can add, delete, or modify evaluation indicators based on different sintering processes and raw material characteristics through a custom evaluation indicator tool, as well as adjust the calculation methods and evaluation standards of the indicators, to achieve personalized and flexible evaluation of sintering and firing structures.

[0024] The beneficial effects of this invention are as follows: By considering the base, weight, interference elimination coefficient, and negation value of each indicator, the system can accurately calculate the comprehensive score of the sinter structure, thereby effectively assessing its feasibility; the user interface is user-friendly and easy to operate, while the system's efficient data processing capabilities in the background significantly reduce the impact of human factors on quality evaluation; the system also sets up two-level user permission management to ensure data security and operational flexibility; it not only improves evaluation efficiency but also provides technical support for the use of low-cost raw materials, has significant guiding value for optimizing the sintering ore blending process, and promotes technological progress and cost control in the steel industry. Attached Figure Description

[0025] Figure 1 This is a system structure block diagram of the present invention;

[0026] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0027] To make the purpose, technical solutions, and advantages of the invention's embodiments clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only a small part of the embodiments of the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the protection scope of the present invention.

[0028] A sintering feed structure evaluation system includes a data acquisition subsystem, a data processing and analysis subsystem, an evaluation model subsystem, and a user permission manager. These subsystems are sequentially connected. The data acquisition subsystem includes sensors, a data acquisition module, and a data input interface. The input end of the data input interface is connected to the sensors and automated equipment, while the output end is connected to the data acquisition module. The data acquisition module is connected to the data processing and analysis subsystem. The data processing and analysis subsystem includes an index analysis engine responsible for in-depth analysis of the acquired data. The evaluation model subsystem includes a comprehensive scoring calculator that calculates a comprehensive score for the sintering feed structure based on the analysis results provided by the index analysis engine. The user permission manager distinguishes and verifies the permissions of first-level and second-level users. First-level users can input data, calculate total scores, modify key data values, and configure system parameters, while second-level users can only input data and view total scores.

[0029] It also includes a parameter configuration interface, a back-end data processing center, and a result display interface. The parameter configuration interface is located between the data processing and analysis subsystem and the evaluation model subsystem. The back-end data processing center is connected to the data processing and analysis subsystem, and the result display interface is connected to both the evaluation model subsystem and the user permission manager.

[0030] It also includes data recovery tools and custom evaluation indicator tools. The data recovery tools are connected to the data processing and analysis subsystem, and the custom evaluation indicator tools are connected to the evaluation model subsystem.

[0031] A method for evaluating the structure of sintered metal, comprising the following steps:

[0032] (1) Collect a series of key parameters and performance indicators related to the sintering process through the data acquisition subsystem;

[0033] (2) The data is cleaned, formatted and standardized to ensure data quality and prepare it for in-depth analysis;

[0034] (3) Use statistical methods to identify and exclude outliers in the data to improve the accuracy of subsequent analysis;

[0035] (4) Configure a base value and weight for each key performance indicator, and eliminate interference coefficients and negative values;

[0036] (5) Calculate the score of each indicator independently using the preset mathematical model and algorithm;

[0037] (6) Compare the actual measured value of each indicator with the negative value. Indicators that do not meet the standard are marked and given a score of zero.

[0038] (7) Summarize the scores of all indicators to obtain the comprehensive score of the sintering structure, which reflects the overall performance;

[0039] (8) Evaluation results are presented intuitively in graphical and numerical form through user interface prompts;

[0040] (9) The final evaluation results support users in making optimization decisions regarding the sintering ore blending process.

[0041] In step (1), the sintering cup test, metallurgical performance test and molten droplet furnace test are integrated to conduct a comprehensive analysis and independent evaluation of nine key performance indicators.

[0042] It also includes a parameter configuration interface that allows users to adjust the base value, weight value, interference elimination coefficient, and negation value of each key indicator according to actual production needs and raw material characteristics to adapt to different production conditions; it utilizes a back-end data processing center to store, manage, and process the input data, while providing data backup and recovery functions to ensure data security and accuracy; and through the results display interface, it intuitively displays the score of each key indicator, the overall score, and a detailed analysis report of the evaluation results in graphical and numerical form, enabling users to quickly understand the evaluation results and make corresponding decisions.

[0043] It also includes a system where, for each key indicator, if the actual measured data is worse than the preset negative value, the indicator scores zero, indicating that the indicator has not met the basic quality requirements; if the actual measured data is better than the preset baseline and does not reach the negative value, the score of the indicator is calculated according to a specific formula, where the coefficient, weight value, interference exclusion coefficient, and negative value together determine the score.

[0044] The system defaults to the base values ​​of each indicator. If some indicators are not detected or no data is entered, the system assumes that these undetected indicators will not affect the calculation of the total score.

[0045] Users can add, delete, or modify evaluation indicators, as well as adjust the calculation methods and evaluation standards, through a custom evaluation indicator tool, based on different sintering processes and raw material characteristics, thus achieving personalized and flexible evaluation of sintering-in-fired structures.

[0046] In practical applications, the system of this invention includes a highly precise data acquisition subsystem specifically designed to capture key parameters during the sintering process. It consists of a series of high-precision sensors capable of real-time monitoring and recording key indicators such as vertical sintering speed, yield, drum strength, 5-10mm particle size ratio, average particle size, reduction degree, softening range, total characteristic value, and melting range. The data acquisition card and interface software transmit this data to the central processing unit in real time, ensuring data timeliness and accuracy.

[0047] Data Processing and Analysis Subsystem: 1. Data Preprocessing: The system first receives sintering test data, including but not limited to parameters such as temperature, humidity, pressure, and raw material ratio. During preprocessing, the system automatically detects and corrects data entry errors, fills in or deletes missing values, ensuring the integrity of the dataset. 2. Outlier Removal: The system uses the Interquartile Range (IQR) method to accurately identify outliers in the data. Any data point exceeding 1.5 times the IQR is considered an outlier and excluded from the dataset, ensuring the accuracy of the analysis results. 3. Data Transformation: The system performs mathematical transformations on the data, such as logarithmic transformation or Box-Cox transformation, aiming to stabilize variance and make the data closer to a normal distribution, providing a solid foundation for statistical analysis. 4. Statistical Analysis: The system calculates descriptive statistics for each indicator, including mean, median, and standard deviation, and performs t-tests or analysis of variance (ANOVA) to determine whether there are significant differences between different indicators or samples. 5. Machine Learning Applications: The system's built-in machine learning modules, including Support Vector Machines (SVM) or Random Forest algorithms, analyze complex patterns and relationships in the dataset. These models learn from training data and predict indicator performance, thereby improving the accuracy of evaluations. 6. Pattern and Anomaly Recognition: The system uses clustering analysis, such as K-means or hierarchical clustering, to identify natural groupings and patterns in the data. Simultaneously, the system monitors the data flow in real time and responds quickly to any unexpected production anomalies. 7. Accurate Data Output: The system compiles and outputs detailed analysis reports, including statistical analysis results, predicted values, and detailed information on pattern recognition for each key indicator. This information is directly input into the comprehensive scoring calculator to calculate the comprehensive score of the sintering ore input structure. This automated and highly accurate data processing workflow significantly improves data processing efficiency and ensures the accuracy and reliability of the input data for the evaluation model, providing solid data support and decision-making basis for the sintering ore blending process in steel enterprises.

[0048] Evaluation Model Subsystem: The core of this invention is the evaluation model subsystem, which employs a series of complex computational models and algorithms to comprehensively evaluate nine key performance indicators, including vertical sintering speed and yield, as well as their base values, weight values, interference exclusion coefficients, and rejection values. This subsystem can process large amounts of data, perform precise calculations, and generate a comprehensive score. The evaluation model subsystem of this invention uses a clear mathematical model to comprehensively evaluate the performance of the sintering structure. The following are the formulas and data processing details included in the workflow of this subsystem:

[0049] 1. Indicator Score Calculation: For each key performance indicator i, its score S is calculated. i Calculate S using the following formula: i =(k×w i ×(V i -B i))+(w i ×100) where: k is the interference elimination coefficient, used to adjust the actual value V of the indicator. i With base B i The differences between them. i V represents the weight value of indicator i, reflecting the importance of that indicator in the evaluation. i This is the actual measured value of index i. B i It is the base or benchmark value of indicator i.

[0050] 2. Overall Score Calculation: Score of all key indicators i These will be aggregated to calculate the overall score S. total : S i Here, n is the total number of key performance indicators.

[0051] 3. Application of negative values: If the actual measured value V of any indicator... i Less than the preset negation value N i Then the score S of this indicator i A score of zero will be given, indicating that the basic quality requirements have not been met. i =0if V i <N i

[0052] 4. Data Processing: Before calculating scores, the system will perform the following data processing steps: data cleaning to remove invalid or erroneous data points; data standardization to ensure comparability of different indicators; and outlier removal using IQR methods or other statistical techniques.

[0053] 5. Report Generation: Finally, the subsystem will generate the report based on the calculated comprehensive score S. total Generate an evaluation report. The report will list in detail the score, base value, weight, and overall score for each indicator, providing users with a clear evaluation result.

[0054] User Interface (UI) Subsystem: The user interface (UI) subsystem provides users with an intuitive operating interface, including functions such as data input, parameter configuration, and result display. This interface allows users to adjust evaluation parameters, such as base values ​​and weight values, according to different needs and preferences, and view the evaluation results.

[0055] User Rights Manager: To ensure system security and data accuracy, the User Rights Manager implements fine-grained access control policies. This policy allows the system to differentiate between first-level and second-level users and assign appropriate permissions based on their roles.

[0056] Preferably, the report generation subsystem is an automated tool capable of quickly generating detailed technical reports based on the evaluation results. These reports not only include scores for each indicator and an overall evaluation score, but also provide in-depth data analysis, charts, and improvement suggestions.

[0057] Method and technical solution:

[0058] 1. Data Input: At the beginning of the evaluation process, detailed data from the sintering test are input through the data acquisition subsystem. This data includes, but is not limited to, the specific proportions of iron, fuel, and flux, as well as parameters such as temperature, humidity, and pressure during the sintering process.

[0059] 2. Data Processing: The data processing and analysis subsystem performs in-depth analysis of the collected data. It uses advanced data processing techniques, such as data normalization, outlier detection, and trend analysis, to ensure that the evaluation model receives high-quality input data.

[0060] 3. Indicator Evaluation: In the indicator evaluation step, the evaluation model subsystem independently evaluates each key indicator based on a pre-set evaluation model and algorithm. This step involves complex mathematical calculations and logical judgments to ensure that each indicator receives a fair and accurate score.

[0061] 4. Parameter Adjustment: Through the user interface (UI) subsystem, first-level users can adjust key parameters in the evaluation model. This includes modifying the base value, weight value, interference exclusion coefficient, and rejection value of the indicators to adapt to different production conditions and raw material characteristics.

[0062] 5. Permission Verification: Before performing critical operations, such as parameter adjustment or result generation, the user permission manager authenticates and checks the user's permissions. This step ensures that only authorized users can perform sensitive operations, thereby protecting the system's data integrity and operational security.

[0063] 6. Results Presentation: Finally, the evaluation results are displayed to the user through the user interface and can be output as detailed reports through the report generation subsystem. These reports are presented in an easy-to-understand format, including charts, graphs, and text descriptions, enabling users to quickly grasp the evaluation results and make decisions accordingly.

[0064] Example:

[0065] 1. Initialize the system: Start the evaluation system, load all necessary software modules and database connections.

[0066] 2. Data Acquisition: Input data from sintering cup tests, metallurgical performance tests, and drip furnace tests. For example, the specific value for the vertical sintering speed is 20.5 mm / min, and the yield is 92%.

[0067] 3. Data Preprocessing: Perform data cleaning to ensure there are no invalid or erroneous data records. Standardize the data, such as converting temperatures from Fahrenheit to Celsius.

[0068] 4. Parameter settings:

[0069] In the parameter configuration interface, set the following parameters:

[0070] The baseline (B_i) for the vertical sintering rate is 18.5 mm / min, and the weight (W_i) is 0.2.

[0071] The baseline yield is 85%, and the weight is 0.25.

[0072] The base value of the drum strength is 65%, and the weight is 0.15.

[0073] The parameters for other indicators are set in a similar manner.

[0074] 5. Outlier Removal: Apply the IQR method to identify and remove outliers. For example, if a data point exceeds the 1.5*IQR limit, it is removed from the dataset.

[0075] 6. Indicator Evaluation Calculation: Calculate the score for each indicator using the following formula: S i =(k×W i ×(V i -B i ))+(W i (×100) where k is the interference elimination coefficient, set to 0.95.

[0076] 7. Negative Value Judgment: Check the actual measured value of each indicator. If there is a case where the value is lower than the negative value, the score of that indicator is zero.

[0077] 8. Overall Score Calculation: Sum the scores of all indicators to calculate the overall score S. total :

[0078] 9. Results Display: The results display interface shows the score for each indicator and the overall score. For example, the vertical sintering speed score is 87 points, and the yield score is 91 points.

[0079] 10. User Decision-Making: Users make corresponding decisions based on the overall score and the scores of each indicator. If the overall score is 85 points, it indicates that the sintering structure performance is good and no adjustment is needed; if it is lower than expected, corresponding process adjustments need to be made based on the indicators with lower scores.

[0080] 11. System Feedback and Adjustment: The system provides a feedback mechanism, allowing users to adjust parameter configurations and recalculate the evaluation based on the evaluation results.

[0081] 12. Documentation: All data inputs, parameter configurations, calculation results, and user decisions will be recorded by the system for future reference and analysis.

[0082] This embodiment demonstrates the specific usage method and data processing flow of the evaluation system of the present invention, providing users with a clear and repeatable evaluation process for the sintering structure.

[0083] By implementing the technical solution of this invention, steel enterprises can achieve scientific evaluation of sintering feed structure, optimize sintering ore blending process, improve the metallurgical performance of sintered ore, reduce production costs, achieve stable and smooth operation of blast furnace, and ultimately enhance the market competitiveness and economic benefits of enterprises.

[0084] This invention proposes an innovative solution to key technical challenges in the sintering and ore blending process of the steel industry. First, it solves the problems of data accuracy and timeliness through a high-precision data acquisition subsystem, ensuring real-time and accurate monitoring of key parameters during sintering. Second, addressing the complexity of multi-dimensional data analysis, this invention utilizes advanced data processing algorithms and multi-dimensional analysis models to comprehensively consider multiple key performance indicators affecting sinter quality, improving the scientific rigor and objectivity of the evaluation. Furthermore, the user interface (UI) subsystem simplifies user interaction and parameter configuration processes, making it easy for non-professionals to use. Regarding security and data integrity, a fine-grained user permission manager effectively solves access control issues in multi-user operating environments. The display and application of evaluation results are also addressed through an automated report generation subsystem, which can quickly generate technical reports containing detailed data analysis and improvement suggestions to assist users in decision-making. Finally, this invention also possesses high adaptability and flexibility, allowing users to adjust evaluation parameters according to different production conditions and raw material characteristics to meet personalized production needs. Through these comprehensive technical measures, this invention not only improves the efficiency of sinter quality evaluation, but also provides strong technical support for steel enterprises to optimize sinter blending, reduce costs, and enhance market competitiveness.

[0085] The core innovation of this invention lies in its unique evaluation model subsystem and advanced data processing and analysis subsystem. The evaluation model subsystem comprehensively considers key performance indicators such as vertical sintering speed, yield, and drum strength, and sets specific base values, weight values, interference elimination coefficients, and rejection values ​​for each indicator, achieving a scientific and objective evaluation of the sintering structure. This is one of the key points of protection in this invention. Furthermore, the innovation of the data processing and analysis subsystem lies in its ability to efficiently and accurately process large amounts of complex sintering data. It uses advanced algorithms for data cleaning, outlier removal, and trend analysis, ensuring the accuracy and reliability of the evaluation. This is another key point of protection in this invention. These two systems work together, not only improving the efficiency of sinter quality evaluation but also providing strong technical support for enterprises, helping them optimize the sintering blending process, reduce production costs, and enhance market competitiveness.

[0086] The beneficial effects of this invention are reflected in several aspects: First, through an automated and precise data acquisition mechanism, the accuracy and real-time performance of sintering process monitoring are significantly improved, ensuring high-quality data input. Second, the advanced data processing and analysis subsystem can deeply explore the inherent connections within the data, providing multi-dimensional analysis results, thus making the evaluation of sinter quality more scientific and objective. Third, the comprehensive evaluation algorithm of the evaluation model subsystem can comprehensively consider various performance indicators of sinter, providing precise guidance for sinter blending and optimizing sinter quality. Furthermore, the intuitive design of the user interface (UI) subsystem simplifies user operation, making the system easy to use and improving the user experience. Simultaneously, the access control subsystem ensures operational security and data integrity, guaranteeing stable system operation. Finally, the report generation subsystem automatically outputs detailed evaluation reports, providing decision-makers with clear data analysis and improvement suggestions, assisting enterprises in quickly responding and optimizing production processes. Combining these advantages, this invention not only improves the efficiency and accuracy of sinter evaluation but also helps reduce production costs and enhance the market competitiveness and economic benefits of steel enterprises.

Claims

1. A sintering-in-sintering structure evaluation system, characterized in that: The system comprises a data acquisition subsystem, a data processing and analysis subsystem, an evaluation model subsystem, and a user access manager, which are sequentially connected. The data acquisition subsystem includes sensors, a data acquisition module, and a data input interface. The input end of the data input interface connects to the sensors and automated equipment, while the output end connects to the data acquisition module. The data acquisition module is connected to the data processing and analysis subsystem. The data processing and analysis subsystem includes an indicator analysis engine, which is responsible for in-depth analysis of the acquired data. The evaluation model subsystem includes a comprehensive scoring calculator, which calculates the comprehensive score of the sintering structure based on the analysis results provided by the indicator analysis engine. The User Permission Manager is used to distinguish and verify the permissions of Level 1 and Level 2 users. Level 1 users can input data, calculate total scores, modify key data values, and configure system parameters, while Level 2 users can only input data and view total scores.

2. The sintering-in-sintering structure evaluation system according to claim 1, characterized in that: It also includes a parameter configuration interface, a back-end data processing center, and a result display interface. The parameter configuration interface is located between the data processing and analysis subsystem and the evaluation model subsystem. The back-end data processing center is connected to the data processing and analysis subsystem, and the result display interface is connected to both the evaluation model subsystem and the user permission manager.

3. The sintering-in-sintering structure evaluation system according to claim 1, characterized in that: It also includes data recovery tools and custom evaluation indicator tools. The data recovery tools are connected to the data processing and analysis subsystem, and the custom evaluation indicator tools are connected to the evaluation model subsystem.

4. A method for evaluating the structure of sintered components, characterized in that... Includes the following steps: (1) A series of key parameters and performance indicators related to the sintering process are collected through the data acquisition subsystem. Data quality is ensured through data verification and preprocessing, providing a reliable basis for subsequent analysis; (2) Use the indicator analysis engine to quantitatively evaluate key indicators through four dimensions: base, weight value, interference exclusion coefficient, and negation value; (3) The comprehensive scoring calculator converts the various quality indicators of sinter into a comprehensive score through a weighted algorithm, and quantitatively evaluates its metallurgical performance and furnace adaptability. (4) Implement hierarchical control through the user permission manager: Level 1 users have full system permissions, while Level 2 users are limited to data entry and result viewing.

5. The method for evaluating the sintering structure according to claim 4, characterized in that: The parameter configuration interface provides flexible adjustment functions for the base value, weight value, interference coefficient and rejection value, and supports users to customize the evaluation model according to production needs and raw material characteristics to ensure the accuracy and adaptability of the evaluation. The back-end data processing center employs efficient data storage, cleaning, and analysis technologies, combined with regular backup and recovery mechanisms, to ensure data security and system reliability. The results display interface presents key indicator scores and analysis reports intuitively through a combination of charts and numbers, supports interactive operations, and helps users make quick decisions and optimize production processes.

6. A method for evaluating the sintering structure according to claim 4 or 5, characterized in that: It also includes a rule that for each key indicator, if the actual measured data is worse than the preset negative value, the indicator will score zero, indicating that the indicator has not met the basic quality requirements. If the actual measured data is better than the preset baseline and does not reach the negative value, the score of the indicator is obtained according to a specific calculation formula, in which the coefficient, weight value, interference exclusion coefficient and negative value jointly determine the score.

7. The method for evaluating the sintering structure according to claim 4, characterized in that: The system defaults to the base values ​​of each indicator. If some indicators are not detected or no data is entered, the system assumes that these undetected indicators will not affect the calculation of the total score.

8. A method for evaluating sintered structure according to claims 4 to 7, characterized in that: Users can add, delete, or modify evaluation indicators, as well as adjust the calculation methods and evaluation standards, through a custom evaluation indicator tool, based on different sintering processes and raw material characteristics, thus achieving personalized and flexible evaluation of sintering-in-fired structures.

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