A method and system for evaluating the modifying effect of cement modification parameters

Abstract

This invention relates to a method and system for evaluating the modifying effect of cement modification parameters, belonging to the field of data processing. By acquiring user-uploaded information on cement application environment and performance requirements, a matching modification parameter configurator is extracted to generate multiple sets of modification parameters. A configured cement modification evaluator is then used to evaluate the modification and obtain the matching degree. Finally, through iterative optimization, the optimal modification parameters that meet application requirements are obtained. This invention solves the technical problems of insufficient efficiency and accuracy in cement modification parameter optimization, inability to adapt to engineering environment requirements, and difficulty in ensuring the stability and optimality of modification effects. It significantly improves the efficiency and accuracy of parameter optimization, reduces the cost of manual testing, and ensures the stability and adaptability of cement product performance.

Description

Technical Field

[0001] This invention relates to the field of data processing, and in particular to a method and system for evaluating the modifying effect of cement modification parameters. Background Technology

[0002] Cement, as a basic building material, is widely used in various fields such as road construction, building engineering, and water conservancy projects. However, with the increasing diversification of engineering needs, traditional cement materials have gradually revealed some limitations in performance. Especially under special conditions such as heavy traffic and harsh environments, cement pavement frequently suffers from defects such as cracking, misalignment, and corner damage, which seriously affect the service life and safety of engineering structures.

[0003] To address the shortcomings of traditional cement materials, cement modification technology has emerged. Cement modification significantly improves key performance indicators such as compressive strength, impermeability, durability, and crack resistance of cement materials by adding admixtures, additives, or employing special processes to meet specific needs in different engineering scenarios. Among the many cement modification technologies, dry-process cement, especially the new dry-process cement, is a type of cement manufactured using advanced production processes. It involves grinding and homogenizing raw materials in a dry state, and then calcining them at high temperatures without the participation of liquid water to produce cement clinker, ultimately producing the cement product. New dry-process cement specifically refers to cement produced using a novel precalciner process, namely suspension preheating and precalciner technology. Dry-process cement maintains stable finished product quality through uniform raw meal composition, is unaffected by raw material moisture content and operational control, and can effectively improve cement quality through automated parameter optimization. Implementation has shown that in road construction, modified cement concrete can effectively resist the repeated impact of heavy vehicles, reduce pavement damage, and extend road service life.

[0004] Significant progress has been made in cement modification technology, with the selection and configuration of modification parameters becoming key factors influencing the modification effect. However, in practical applications, due to the complexity and variability of engineering environments, accurately and efficiently determining the optimal cement modification parameters remains a problem to be solved. Existing methods for determining modification parameters rely on experience or simple experimental comparisons, lacking systematicity and scientific rigor, and making it difficult to guarantee the stability and optimality of the modification effect. Summary of the Invention

[0005] This invention addresses the technical problems in existing technologies where the optimization efficiency and accuracy of cement modification parameters are insufficient, unable to adapt to engineering environment requirements, and difficult to guarantee the stability and optimality of modification effects. It provides a method and system for evaluating the modification effect of cement modification parameters to solve these problems.

[0006] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: In a first aspect, the present invention provides a method for evaluating the modifying effect of cement modification parameters. The method includes: acquiring cement application information uploaded by a user, the cement application information including application environment information and performance requirement information; extracting a matching modification parameter configurator based on the cement application information; analyzing the application environment information and the performance requirement information based on the modification parameter configurator to configure multiple sets of cement modification parameters; configuring a cement modification evaluator based on the application environment information and the performance requirement information; evaluating the modification of the multiple sets of cement modification parameters based on the cement modification evaluator to obtain multiple modification matching degrees; and guiding the modification parameter configurator to iteratively configure cement modification parameters through the multiple sets of cement modification parameters and the multiple modification matching degrees to obtain the optimal cement modification parameters whose modification matching degree satisfies the cement application information.

[0007] Secondly, the present invention provides a system for evaluating the modifying effect of cement modification parameters. The system includes: an information acquisition module for acquiring cement application information uploaded by a user, the cement application information including application environment information and performance requirement information; a parameter configuration module for extracting a matching modification parameter configurator based on the cement application information, analyzing the application environment information and the performance requirement information based on the modification parameter configurator, and configuring multiple sets of cement modification parameters; a modification evaluation module for configuring a cement modification evaluator based on the application environment information and the performance requirement information, performing modification evaluation on the multiple sets of cement modification parameters based on the cement modification evaluator, and obtaining multiple modification matching degrees; and a parameter iteration module for guiding the modification parameter configurator to iteratively configure cement modification parameters through the multiple sets of cement modification parameters and the multiple modification matching degrees, to obtain the optimal cement modification parameters whose modification matching degree satisfies the cement application information.

[0008] The beneficial effects of this invention are as follows: by acquiring the cement application environment and performance requirements information uploaded by users, extracting the matching modification parameter configurator to generate multiple sets of modification parameters, and using the configured cement modification evaluator to perform modification evaluation to obtain the matching degree, the optimal modification parameters that meet the application requirements are finally obtained through iterative optimization, which significantly improves the efficiency and accuracy of parameter optimization, reduces the cost of manual testing, and ensures the stability and adaptability of cement product performance. Attached Figure Description

[0009] Figure 1 This is a flowchart illustrating a method for evaluating the modifying effect of cement modification parameters provided by the present invention.

[0010] Figure 2 This is a schematic diagram of the structure of a cement modification parameter modification effect evaluation system provided by the present invention.

[0011] Figure labeling: Information acquisition module 11, parameter configuration module 12, modification evaluation module 13, parameter iteration module 14. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] In the description of this invention, 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 indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0014] In the description of this invention, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed herein.

[0015] Example 1: like Figure 1 As shown in the figure, this invention provides a method for evaluating the modifying effect of cement modification parameters, the method comprising: S10: Obtain cement application information uploaded by the user terminal, the cement application information including application environment information and performance requirement information.

[0016] For example, evaluating the modifying effect of cement modification parameters is essential. Different application scenarios have different requirements for cement performance, such as strength, durability, and corrosion resistance, and environmental conditions such as temperature, humidity, and chemical erosion also vary greatly. By scientifically evaluating the modifying effect of cement modification parameters, we can accurately determine the degree of influence of each parameter on cement performance, and then select the optimal parameter combination to ensure that cement meets specific engineering needs in practical applications, improves engineering quality, extends service life, and avoids resource waste and performance failure caused by improper parameters.

[0017] Specifically, in this solution, to assess the cement modification effect, the cement application information uploaded by the user is first obtained. This cement application information includes two main parts: application environment information and performance requirement information. The user refers to the party uploading the cement application information, that is, the entity that proposes the cement application requirement. This could be an enterprise, construction unit, or other actual cement user, who is responsible for uploading the cement application-related information to the user as the starting point for the subsequent assessment process.

[0018] The application environment information details the various environmental conditions faced by cement in actual use scenarios. This includes temperature characteristics; for example, in bridge construction in cold regions, cement must withstand prolonged low temperatures, which can slow down cement hydration, limit strength development, and even cause freeze-thaw damage. Conversely, in high-temperature industrial furnace lining applications, high temperatures accelerate changes in the internal structure of cement, affecting its durability. Humidity characteristics are equally crucial. In humid underground engineering environments, such as subway tunnel construction, high humidity can cause cement carbonization and steel corrosion, reducing structural safety. Conversely, in arid desert road construction, low humidity can cause shrinkage cracks in cement due to rapid water loss. Furthermore, chemical corrosion is involved. In the construction of storage tank foundations in chemical plants, cement comes into contact with various acids, alkalis, and salts, which can react with cement components and damage its structure. By comprehensively acquiring this application environment information, the external conditions of the cement can be accurately grasped, providing a realistic and targeted environmental basis for subsequent parameter configuration.

[0019] Performance requirements clearly define the performance indicators that users expect from cement products. Strength is a common and important requirement. For example, in the foundation construction of high-rise buildings, cement needs high strength to meet the load-bearing requirements of the building and ensure structural safety and stability. However, in the production of some non-load-bearing decorative cement components, the strength requirements are relatively lower. Durability is also crucial. For port and dock projects in marine environments, cement needs good resistance to seawater erosion to ensure that the project does not experience severe performance degradation during long-term use. In road engineering, cement needs to have wear resistance, fatigue resistance, and other durability properties to withstand repeated vehicle traffic. Furthermore, setting time requirements are also included. In some emergency repair projects, cement needs to set quickly to restore its functionality as soon as possible. In the production of large precast components, a longer setting time is desired to allow sufficient time for pouring, vibration, and other construction operations.

[0020] Accurate and comprehensive acquisition of cement application information provides precise guidance for subsequent modification parameter configuration. Based on application environment and performance requirements, cement modification parameters can be adjusted accordingly, such as the type and dosage of mineral admixtures and the variety and dosage of chemical additives. This effectively improves the rationality and effectiveness of cement modification parameter configuration, ultimately enabling the produced cement products to better meet actual engineering needs, significantly improve project quality, extend project service life, and reduce later maintenance costs.

[0021] S20: Extract a matching modification parameter configurator based on the cement application information, analyze the application environment information and performance requirement information based on the modification parameter configurator, and configure multiple sets of cement modification parameters.

[0022] Preferably, in the cement modification parameter optimization process, a matching modification parameter configurator is extracted based on the acquired cement application information. The modification parameter configurator can accurately call the corresponding parameter configuration strategy according to different input information. It internally stores a large number of parameter configuration models for various application scenarios. These models are obtained through in-depth analysis and machine learning training on massive experimental data and actual engineering cases, covering the optimal parameter range under different combinations of application environments and performance requirements.

[0023] Upon receiving cement application information, the system uses a feature matching algorithm to compare key features from the application environment information, such as temperature, humidity, and degree of chemical erosion, as well as performance requirements such as strength grade, durability index, and setting time, with pre-stored model features in the modification parameter configurator. For example, in a high-rise building foundation construction scenario in a cold region, the application environment information shows low temperatures and freeze-thaw cycles, while the performance requirements emphasize high strength and good frost resistance. The system uses feature matching to identify pre-stored models similar to this scenario and then extracts the matching modification parameter configurator.

[0024] Based on the extracted modified parameter configurator, in-depth analysis is performed on application environment information and performance requirement information. Regarding application environment information, the impact mechanisms of different environmental factors on cement performance are analyzed. For example, in the high-temperature and high-humidity construction scenario of a chemical plant floor, it is analyzed that high temperature accelerates the cement hydration reaction but may lead to a decline in strength later on, while high humidity slows down water evaporation, affecting setting time and potentially causing carbonation problems. Regarding performance requirement information, the priority and specific numerical range of each performance indicator are clarified. For example, in marine engineering, resistance to chloride ion corrosion is the primary performance requirement, and a specific corrosion resistance level is set.

[0025] Based on comprehensive analysis, the modification parameter configurator uses its built-in parameter generation algorithm to configure multiple sets of cement modification parameters. These parameters include the type and dosage of mineral admixtures, such as fly ash and slag powder. Different types and dosages of mineral admixtures will have different effects on the strength, durability, and other properties of cement. They also include the type and dosage of chemical admixtures, such as water-reducing agents, early-strength agents, and air-entraining agents. Water-reducing agents can reduce water consumption and increase strength, early-strength agents can accelerate the early strength development of cement, and air-entraining agents can improve the frost resistance of cement. For example, for marine engineering scenarios, the configurator may generate one set of modification parameter combinations containing high dosage of slag powder, appropriate amount of water-reducing agent, and specific air-entraining agent, and another set of parameter combinations containing fly ash and slag powder composite admixtures, high-efficiency water-reducing agent, and early-strength agent.

[0026] By using a multi-set parameter configuration method based on the matching modification parameter configurator, the complexity and diversity of different application scenarios can be fully considered, providing a wealth of choices for subsequent parameter evaluation and optimization. This significantly improves the scientificity and rationality of cement modification parameter configuration, avoids the performance imbalance problem that may be caused by a single parameter configuration, effectively enhances the adaptability and performance of cement products in actual engineering, and reduces engineering quality risks and cost waste caused by inappropriate parameters.

[0027] S30: Configure the cement modification evaluator based on the application environment information and the performance requirement information, and perform modification evaluation on the multiple sets of cement modification parameters based on the cement modification evaluator to obtain multiple modification matching degrees.

[0028] Furthermore, in the process of evaluating cement modification parameters, the obtained application environment information and performance requirement information are used as key bases to configure the cement modification evaluator. The cement modification evaluator can comprehensively consider the influence of multiple factors on cement performance and quantitatively evaluate the modification parameters according to specific evaluation standards. Among them, for the two key indicators of compressive strength and impermeability, the evaluator has built a twin evaluation model. The compressive strength evaluation can be based on parameters such as the chemical composition of cement, the type and dosage of mineral admixtures, and water-cement ratio, combined with the temperature and humidity conditions in the application environment, and uses the principles of materials mechanics and cement hydration reaction kinetics to establish a mathematical relationship between parameters and compressive strength. The impermeability evaluation considers the pore structure of cement, the characteristics of hydration products, and the role of chemical admixtures, while also considering factors such as possible chemical erosion and pressurized water in the application environment to construct a corresponding evaluation logic.

[0029] During configuration, the temperature, humidity, and type and degree of chemical erosion from the application environment information, as well as the specific indicators of compressive strength grade and impermeability grade from the performance requirements information, are embedded as input parameters into the cement modification evaluator. For example, in an underground parking lot construction project in a coastal area, the application environment information shows that the area has high humidity and chloride ion erosion, and the performance requirements information clearly states that the cement must meet the C30 compressive strength grade and P8 impermeability grade. After the system inputs this information into the evaluator, the evaluator will adjust the weights and parameter ranges of the compressive strength and impermeability performance evaluation according to the built-in algorithm and model to adapt to this specific scenario.

[0030] Based on a pre-configured cement modification evaluator, the system evaluates multiple sets of generated cement modification parameters. For each set of parameters, the evaluator simulates the cement hydration process based on the types and amounts of mineral admixtures and the types and amounts of chemical admixtures, predicting the microstructural characteristics of the hardened cement, such as porosity, hydration product types, and distribution. Then, combining application environment information, the evaluator analyzes the changing trends of these microstructural characteristics under specific environmental conditions, and calculates the expected compressive strength and impermeability of the cement under that set of parameters. For example, for a set of modification parameters containing high amounts of fly ash and appropriate amounts of water-reducing agents, the evaluator predicts that the pozzolanic reaction of fly ash will improve the pore structure of the cement and enhance its impermeability, but may reduce early compressive strength to some extent; simultaneously, considering the high humidity conditions in the application environment, the evaluator adjusts the prediction of the impact of the hydration reaction rate on strength development.

[0031] Through the above evaluation process, the modification matching degree corresponding to each set of cement modification parameters can be obtained. The modification matching degree is a comprehensive quantitative index that comprehensively considers the degree of conformity between the evaluation results of compressive strength and impermeability and the performance requirements. For example, if the compressive strength of cement under a certain set of parameters reaches C32 (higher than the required C30) and the impermeability grade reaches P10 (higher than the required P8), then the modification matching degree of that set of parameters will be high; conversely, if the compressive strength is only C25 and the impermeability grade is P6, then the modification matching degree will be low.

[0032] By configuring an evaluator based on application environment and performance requirements and assessing multiple sets of parameters to obtain the degree of modification matching, accurate evaluation of cement modification parameters can be achieved, avoiding evaluation biases caused by neglecting environmental factors and performance requirement differences in other evaluation methods. Furthermore, quantifying the evaluation results provides a clear direction and basis for subsequent parameter optimization, helping to quickly select the optimal combination of modification parameters, improve the quality and performance stability of cement products, and reduce quality risks and costs in engineering applications.

[0033] S40: Guide the modification parameter configurator to iteratively configure the cement modification parameters through the multiple sets of cement modification parameters and the multiple modification matching degrees, and obtain the optimal cement modification parameters whose modification matching degree satisfies the cement application information.

[0034] Specifically, in optimizing cement modification parameters, multiple sets of cement modification parameters and their corresponding multiple modification matching degrees are used to guide the modification parameter configurator to perform iterative configuration, thereby obtaining the optimal cement modification parameters. The modification parameter configurator can continuously optimize the parameter configuration strategy based on the input parameters and matching degree information using a specific iterative algorithm.

[0035] The iterative process establishes an association mapping between each set of modification parameters and their corresponding modification matching degree, forming a parameter-matching degree dataset. For example, in the cement application scenario of a large bridge construction project, the application environment information includes characteristics such as high temperature, high humidity, and seawater erosion, while the performance requirements emphasize high compressive strength and impermeability. Through preliminary configuration and evaluation, five different combinations of cement modification parameters were obtained, each set of parameters corresponding to a modification matching degree. These matching degrees reflect the degree to which the set of parameters meets the application information.

[0036] The modified parameter configurator employs data mining and machine learning algorithms to deeply analyze the parameter-matching dataset. On one hand, it analyzes the inherent patterns between different parameter value ranges and the modification matching degree, identifying key parameters that significantly affect compressive strength and impermeability, such as the amount of slag powder in mineral admixtures and the amount of high-efficiency water-reducing agent in chemical admixtures. On the other hand, it explores the interaction relationships between parameters, such as the impact of the synergistic effect of fly ash and water-reducing agents on the workability and strength development of cement.

[0037] Furthermore, based on the above analysis results, the modification parameter configurator will optimize and adjust the parameters according to preset iteration rules. If the modification matching degree of a certain set of parameters is low, the configurator will make targeted modifications to the key parameters affecting the matching degree. For example, if it is found that the impermeability performance of a certain set of parameters is not up to standard due to insufficient slag powder content, the configurator will appropriately increase the slag powder content; if the cement setting time is too short due to excessive use of high-efficiency water-reducing agent, affecting construction operations, the configurator will reduce the amount of water-reducing agent. After adjusting the parameters, the configurator will generate multiple new combinations of cement modification parameters.

[0038] Subsequently, the cement modification evaluator is used again to evaluate the new parameter combination and obtain a new modification fit. This process is repeated continuously, forming a closed-loop system that iterates continuously. After each iteration, the system adds new parameter-fit data to the dataset, further enriching the configurator's learning samples and making its adjustment strategy more accurate.

[0039] As the number of iterations increases, the modification matching degree gradually improves. When the modification matching degree reaches or exceeds the threshold set by the cement application information, the optimal cement modification parameters that meet the requirements are considered to have been obtained. For example, after multiple iterations, if the modification matching degree of a certain set of parameters shows that its compressive strength reaches C40, which meets the requirement of C35 or higher for bridge construction, its impermeability grade reaches P12, which is higher than the required P8, and other performance indicators also meet the application environment and usage requirements, then this set of parameters is the optimal solution.

[0040] This method of obtaining optimal cement modification parameters through iterative configuration fully considers the complexity and diversity of cement application scenarios, accurately matches application environment information and performance requirements, and effectively avoids the blindness and inefficiency of manual trial mixing. By continuously optimizing parameter combinations, the overall performance of cement products is improved, ensuring project quality and durability, while reducing production costs and resource waste, providing an efficient and reliable solution for the practical application of cement modification technology.

[0041] In a preferred embodiment, extracting a matching modification parameter configurator based on the cement application information includes: Extract the application environment information from the cement application information and construct an application environment vector.

[0042] Extract the performance requirement information from the cement application information and construct performance requirement constraints.

[0043] Based on the application environment vector and the performance requirement constraints, configurator matching is performed in the configurator repository to obtain a modified parameter configurator configured with the cement application information.

[0044] Optionally, an application environment vector can be constructed by extracting application environment information from the cement application information. Application environment information encompasses several key elements, with ambient temperature being one of the important features; therefore, the annual average temperature T needs to be extracted. avg (Unit: °C) and extreme temperature range [T] min ,T max For example, in tropical coastal areas, the average annual temperature may reach over 25℃, with extreme summer temperatures reaching 40℃ and extreme winter temperatures still above 10℃; in frigid regions, the average annual temperature may be below 0℃, with extreme winter temperatures dropping below -30℃. Different temperature conditions significantly affect the hydration reaction rate and strength development of cement. Corrosion level is also an environmental factor to consider, and can be categorized into general environments (marked as 0), moderate corrosion (marked as 1), and high corrosion (marked as 2). Areas surrounding chemical plants, due to the large amount of chemical emissions, are considered high-corrosion environments; while ordinary urban residential areas are typically general environments. Furthermore, humidity conditions are also considered, and the average annual relative humidity H is extracted. avg (Unit: %). In humid southern regions, the average annual relative humidity may reach over 80%, while in arid northwestern regions, the average annual relative humidity may be below 40%. Humidity affects the setting time and durability of cement. By combining these environmental temperature, corrosion level, and humidity conditions according to specific rules, an application environment vector is constructed. This vector can comprehensively and accurately characterize the application environment characteristics of cement.

[0045] Simultaneously, performance requirement information is extracted from cement application data, and performance requirement constraints are constructed. Performance requirement information encompasses multiple aspects, with strength constraints being a core component, centered around C... strength ≥f c,target It means that f c,target The target compressive strength (unit: MPa). For example, in the foundation construction of high-rise buildings, the compressive strength of cement is required to reach C40 or higher, i.e., f c,target =40MPa. Permeability restraint using P impermeability ≥P n It means that P n For design impermeability grade. For projects like underground reservoirs, the design impermeability grade may require a level of P8 or higher. Workability constraints are defined by Slump ∈ [S...]. min ,Smax Limiting the slump range. In road construction, to ensure the workability of cement concrete, the slump may need to be controlled between 30-50 mm, i.e., S0. min =30mm, S max =50mm. These performance requirements clearly define the range of performance indicators that cement products need to achieve.

[0046] Finally, based on the constructed application environment vector and performance requirement constraints, a configurator matching operation is performed in the configurator repository. The configurator repository pre-stores a large number of modified parameter configurators for different combinations of application environment vectors and performance requirement constraints. Each configurator has undergone extensive experimental verification and optimization, possessing specific parameter configuration logic and algorithms. The system uses a matching algorithm to compare and filter the application environment vector and performance requirement constraints corresponding to the current cement application information with the configurators in the repository. For example, when the application environment vector is a tropical high-humidity, high-corrosion environment, and the performance requirement constraints are high strength and high impermeability, the system will accurately match a modified parameter configurator from the repository that can adapt to these extreme conditions and meet the performance requirements.

[0047] By obtaining a modification parameter configurator that matches the cement application information through the above process, the diverse needs of different regions and projects for cement can be fully considered. This ensures that the configured modification parameters enable cement products to perform optimally in the actual application environment, improve project quality and durability, reduce project quality problems and subsequent maintenance costs caused by cement performance mismatch, and provide efficient and accurate technical support for the practical application of cement modification technology.

[0048] In a preferred embodiment, the build steps of the configurator repository include: Collect historical cement application data, which includes historical application environment information, historical performance requirement information, and corresponding modification parameter configurations.

[0049] Cluster analysis was performed on the historical application environment information to obtain multiple application environment categories.

[0050] Cluster analysis was performed on the historical performance requirement information to obtain multiple performance requirement categories.

[0051] The multiple application environment categories and multiple performance requirement categories are combined to form multiple application scenarios.

[0052] For each of the aforementioned application scenarios, a corresponding modified parameter configurator is constructed and stored in the configurator repository in association with the application scenario.

[0053] Furthermore, to build a configurator repository, historical cement application data was collected. This data covers historical application environment information, historical performance requirements, and corresponding modification parameter configurations. Historical application environment information includes key elements such as ambient temperature, humidity, and corrosion level. For example, in a cement application case in a coastal chemical industrial park, environmental data recorded included an average annual temperature of 22℃, extreme temperature ranges from -5℃ to 38℃, an average annual relative humidity of 85%, and a high corrosion level (marked as 2). Historical performance requirements information specifies indicators such as strength grade thresholds, impermeability grade thresholds, and workability constraints. For instance, in a chemical industrial park project, the cement compressive strength was required to reach C40 (i.e., f...). c,target =40MPa), and the impermeability grade reaches P10 (P n =10), slump controlled at 40-60mm (S min =40mm, S max =60mm); the corresponding modification parameter configuration details the types and dosages of mineral admixtures, the types and dosages of chemical additives, such as the specific parameters of using 30% slag powder and 1.5% high-efficiency water-reducing agent. This rich historical data provides a solid foundation for subsequent analysis.

[0054] Next, cluster analysis was performed on the collected historical application environment information. Using clustering algorithms, similar application environments were grouped together based on characteristics such as ambient temperature, humidity, and corrosion level, resulting in multiple application environment categories. For example, cluster analysis can classify application environments into different categories such as tropical high-humidity and high-corrosion environments, cold-climate low-humidity and general-corrosion environments, and temperate moderate-humidity and moderate-corrosion environments. This classification method can accurately capture the differences and commonalities between different environments, providing an environmental-level basis for subsequently constructing targeted modification parameter configurators.

[0055] Simultaneously, cluster analysis was performed on historical performance requirement information. Based on characteristics such as strength grade thresholds, impermeability grade thresholds, and workability constraints, cases with similar performance requirements were grouped together, forming multiple performance requirement categories. For example, performance requirements can be categorized into high-strength, high-impermeability requirements; medium-strength, medium-impermeability requirements; and general-strength, workability-priority requirements. This classification helps clarify the diverse performance needs of different projects for cement, providing performance-level guidance for the construction of the cement builder.

[0056] Subsequently, multiple application environment categories and performance requirement categories are combined to form multiple application scenarios. For example, a specific application scenario is formed by combining a tropical high-humidity, high-corrosion environment with high-strength, high-permeability requirements; another application scenario is formed by combining a cold-climate low-humidity, generally corrosive environment with general strength and performance priority requirements. These application scenarios comprehensively cover various situations that may be encountered in actual engineering, providing a complete framework for the targeted construction of the modified parameter configurator.

[0057] Finally, corresponding modification parameter configurators are constructed for each application scenario. Based on the application environment characteristics and performance requirements of each scenario, knowledge and algorithms from fields such as materials science and chemical engineering are used to determine the reasonable value range and configuration logic of modification parameters such as mineral admixtures and chemical additives. For example, in application scenarios with high humidity, high corrosion, and high strength and impermeability requirements in tropical regions, the configurator may determine a higher slag powder content to improve impermeability and later strength, while selecting chemical additives with anti-corrosion functions. After construction, the modification parameter configurator is associated with the application scenario and stored in the configurator repository.

[0058] Through the above construction steps, the configurator repository can provide precisely matched modification parameter configurators for different application scenarios, greatly improving the efficiency and accuracy of cement modification parameter configuration and avoiding the blindness and reliance on experience in manual configuration. In practical engineering applications, it can quickly match suitable configurators from the repository based on specific cement application information, generating modification parameters that meet the requirements, thereby improving the quality and performance of cement products, reducing engineering costs, and ensuring project quality and durability.

[0059] In a preferred embodiment, a corresponding modification parameter configurator is constructed for each of the aforementioned application scenarios, including: A first application scenario is determined from the plurality of application scenarios, and first historical cement application data is extracted from the historical cement application data based on the first application scenario.

[0060] The historical application environment information and historical performance requirement information in the first historical cement application data are used as input features, and the corresponding modification parameter configurations are used as output labels.

[0061] Machine learning is used to train the input features and the output labels to generate a first modified parameter configurator.

[0062] The first application scenario and the first modified parameter configurator are associated and stored in the configurator repository.

[0063] In detail, during the construction of the modified parameter configurator for each application scenario, a first application scenario needs to be arbitrarily selected from the multiple established application scenarios. Subsequent analysis will be based on this scenario. For example, a specific scenario may be selected from among many application scenarios. This scenario is an industrial plant construction scenario with high temperature and humidity and chemical corrosion. In this scenario, the durability and chemical corrosion resistance of cement are required to be extremely high.

[0064] After identifying the primary application scenario, matching historical cement application data was extracted from historical cement application data based on the characteristics of this scenario. This data encompasses a wealth of information dimensions. Historical application environment information includes specific environmental temperature data, such as an average annual temperature of 30℃ and extreme summer temperatures reaching 45℃; regarding humidity, the average annual relative humidity is 80%, indicating a persistently high humidity environment; the corrosion level is determined to be high corrosion (marked as 2), indicating the presence of various chemically corrosive substances in the environment. Historical performance requirements clearly define the strength grade threshold, requiring the cement compressive strength to reach C45 (i.e., f...). c,target =45MPa), the threshold for impermeability grade is P12 (P n =12), to ensure the stability of cement structures in complex environments. The corresponding modification parameter configuration details the types and dosages of mineral admixtures, such as the use of 35% slag powder and 15% fly ash composite admixture, and specific parameters for chemical admixtures such as 2% high-efficiency water-reducing agent and 0.5% corrosion inhibitor.

[0065] Subsequently, historical application environment information and historical performance requirement information from the first historical cement application data were used as input features. These input features are key factors affecting cement modification parameters. Ambient temperature affects the rate of cement hydration and strength development; high humidity environments may lead to cement carbonization and steel corrosion; and high corrosion levels require cement to have better resistance to chemical attack. The strength grade and impermeability grade in the performance requirements directly determine the performance standards that the cement needs to achieve. The corresponding modification parameter configurations were used as output labels. These output labels are parameter combinations that have been verified in actual engineering projects and can effectively meet the requirements corresponding to the input features.

[0066] Machine learning algorithms are used to train the input features and output labels. These algorithms automatically learn the complex nonlinear relationship between input features and output labels from large amounts of data. During training, the algorithm continuously adjusts its internal parameters to minimize the error between the predicted output and the actual output label. For example, through multiple iterations, the algorithm gradually learns how to rationally adjust the types and amounts of mineral admixtures and chemical additives under different combinations of environmental temperatures, humidity, corrosion levels, and performance requirements. After sufficient training, a first modification parameter configurator is generated, which has the ability to predict the optimal modification parameters based on new application environment information and performance requirements.

[0067] Finally, the first application scenario and the first modification parameter configurator are associated and stored in the configurator repository. This associated storage method allows for the rapid retrieval of the corresponding first modification parameter configurator from the repository when encountering similar needs in actual engineering applications, providing precise guidance for cement modification parameter configuration.

[0068] The above-described construction process significantly improves the scientific rigor and accuracy of cement modification parameter configuration. Machine learning algorithms can fully utilize information from historical data to uncover hidden patterns and regularities, avoiding the subjectivity and blind spots of manual configuration. In practical engineering, it can quickly generate modification parameters that meet the needs of specific application scenarios, effectively improving the performance and quality of cement products, reducing engineering costs, and ensuring the safety and durability of projects, providing strong technical support for the development and application of cement modification technology.

[0069] In a preferred embodiment, a cement modification evaluator is configured based on the application environment information and the performance requirement information. Based on the cement modification evaluator, modification evaluations are performed on the multiple sets of cement modification parameters to obtain multiple modification matching degrees, including: Multiple performance indicators are extracted from the performance requirement information, and the performance evaluation thresholds for each performance indicator are obtained.

[0070] The environmental weight coefficients for each performance indicator are determined based on the application environment information.

[0071] A pre-trained cement modification evaluator is configured based on the performance evaluation thresholds and environmental weighting coefficients of each performance index.

[0072] Based on the configured cement modification evaluator, the modification evaluation is performed on the multiple sets of cement modification parameters to obtain multiple modification matching degrees.

[0073] For example, multiple performance indicators can be extracted from the performance requirement information, and the performance evaluation thresholds for each indicator can be clearly defined. Taking cement concrete as an example, these performance indicators should at least cover strength and impermeability. Strength is an important parameter for measuring the load-bearing capacity of cement concrete, and its performance evaluation threshold can be set according to specific engineering needs. For instance, in the foundation construction of a high-rise building, the compressive strength of the cement concrete is required to reach C50 (i.e., f...). c,target =50MPa), this is the performance evaluation threshold for the strength index. The impermeability index reflects the ability of cement concrete to resist the seepage of pressurized water, which is crucial for underground engineering or structures such as water tanks. Its performance evaluation threshold can be set as the impermeability grade P12 (P... n =12), indicating that under certain pressure, cement concrete should not exhibit water seepage within a certain time. In addition, other performance indicators can be extracted according to actual needs, such as durability indicators, including resistance to carbonation and resistance to steel corrosion; or workability indicators, such as slump and spread, etc., which are not specifically limited here.

[0074] Subsequently, the environmental weighting coefficients for each performance indicator are determined based on the application environment information. This information includes key factors such as ambient temperature, humidity, and corrosion level. For example, in coastal environments with high temperature and humidity and chloride ion corrosion, the permeability and durability indicators have a more significant impact on the performance of cement concrete; therefore, the environmental weighting coefficients for these two indicators should be relatively high. Conversely, in dry, cold inland areas without chemical corrosion, the strength indicator may be more critical, and its environmental weighting coefficient will increase accordingly. Taking epoxy resin modified cement concrete as an example, in the application scenario of high-temperature and high-humidity chemical workshop floors, due to the presence of chemicals and moisture in the environment, the environmental weighting coefficients for permeability and corrosion resistance will increase. Assuming the permeability weighting coefficient is set to 0.6, the corrosion resistance weighting coefficient to 0.3, and the strength weighting coefficient to 0.1, the specific weighting coefficient configuration can be adaptively set based on expert experience and engineering examples.

[0075] Then, a pre-trained cement modification evaluator is configured based on the performance evaluation thresholds and environmental weight coefficients of each performance index. The cement modification evaluator is essentially a digital twin model. The pre-training process includes: first, building a 3D model using computer-aided design (CAD) software and finite element analysis (FEA) technology to construct a 3D digital model of cement concrete. The 3D digital model needs to accurately simulate the microstructure and macroscopic properties of cement concrete, including the distribution and interactions of components such as cement paste, aggregates, and pores. For example, when simulating epoxy resin-modified cement concrete, the 3D model needs to accurately represent the dispersion state of epoxy resin in the cement matrix and its effect on improving the pore structure of cement paste. During data training, a large amount of experimental data and actual engineering data related to cement modification are collected, including various performance indicators of cement concrete under different modification parameters and application environment information. These data are then used as training samples and input into the digital twin model, using machine learning algorithms, such as neural network algorithms, to train the model. During training, the model continuously adjusts its internal parameters to minimize the error between the predicted results and the actual data. For example, by inputting data on the strength and impermeability of cement concrete under different epoxy resin dosages and curing conditions, the model can be trained to accurately predict the performance of cement concrete under different modification parameters and application environments.

[0076] Furthermore, based on the configured cement modification evaluator, modification evaluations are performed on multiple sets of cement modification parameters. Taking epoxy resin modified cement concrete as an example, it is assumed that there are multiple sets of modification parameters with different combinations of epoxy resin dosage (e.g., 5%, 10%, 15%) and different curing temperatures (e.g., 20℃, 30℃, 40℃). Each set of parameters is input into a digital twin model. The model simulates the hydration reaction process of cement concrete and the interaction between epoxy resin and cement matrix based on its internal algorithm and trained knowledge, predicting the strength, impermeability, and other indicators of cement concrete under that set of parameters. Finally, multiple modification matching degrees are obtained based on the degree of conformity between the prediction results and the performance evaluation threshold. If the predicted compressive strength of cement concrete under a certain set of parameters reaches 52MPa (higher than the required 50MPa) and the predicted impermeability grade reaches P14 (higher than the required P12), then the modification matching degree of that set of parameters is high; conversely, if the predicted compressive strength is only 45MPa and the predicted impermeability grade is P8, then the modification matching degree is low.

[0077] The above process fully leverages the advantages of digital twin models to accurately assess the performance of cement concrete under different modification parameters, providing a scientific basis for optimizing cement modification parameters. This significantly improves the accuracy and efficiency of the assessment, avoids the time-consuming and costly problems of experimental methods, and helps to quickly screen out the optimal combination of modification parameters, thereby improving the quality and performance of cement products and meeting the needs of different engineering scenarios.

[0078] In a preferred embodiment, based on the configured cement modification evaluator, the multiple sets of cement modification parameters are evaluated to obtain multiple modification matching degrees, including: The first cement modification parameter is extracted from the multiple sets of cement modification parameters.

[0079] Based on the configured cement modification evaluator, the performance of the first cement modification parameters is predicted, and the predicted performance values ​​of each performance index are obtained.

[0080] The performance matching degree of each performance indicator is determined based on the predicted performance value of each performance indicator and the performance evaluation threshold.

[0081] The first modification matching degree of the first cement modification parameter is calculated based on the performance matching degree of each of the aforementioned performance indicators and the environmental weighting coefficient.

[0082] Following the method for obtaining the first modification matching degree, the modification matching degrees of the remaining cement modification parameters are obtained, resulting in multiple modification matching degrees.

[0083] Preferably, in the process of evaluating multiple sets of cement modification parameters based on the configured cement modification evaluator to obtain multiple modification matching degrees, a first cement modification parameter is first arbitrarily extracted from the multiple sets of cement modification parameters. For example, in the process of studying the influence of different combinations of mineral admixtures and chemical additives on cement performance, the first cement modification parameter may be a combination of parameters including 20% ​​fly ash content, 1.5% high-efficiency water-reducing agent content, and 5% silica fume content.

[0084] Subsequently, the extracted first cement modification parameters are input into the pre-configured cement modification evaluator, i.e., the digital twin model. This evaluator uses its internal algorithm and pre-trained model parameters to make comprehensive performance predictions for the first cement modification parameters. Specifically, it simulates the hydration reaction process, microstructure formation, and development and changes of various performance indicators of cement under specific modification parameters, thereby obtaining the performance prediction values ​​of each performance indicator.

[0085] Next, the performance matching degree of each performance index is determined based on the predicted performance values ​​and the pre-set performance evaluation thresholds. Here, performance matching degree can be understood as a "distance" concept, that is, the difference between the predicted performance value and the performance evaluation threshold. The closer the distance, the closer the predicted result of the performance index is to the requirement, and the higher the matching degree. For example, if the performance requirement information specifies that the compressive strength performance evaluation threshold for cement concrete is 50 MPa, while the predicted value is 45 MPa, then the distance of the compressive strength performance index is |45-50| = 5 MPa; if the permeability grade performance evaluation threshold is P10, and the predicted value is P8, the difference in permeability grades can be converted into a distance value through a certain quantification method. Assuming that the distance for each permeability grade difference is 1, then the distance of the permeability performance index is |8-10| = 2. To represent the matching degree more intuitively, a normalization method can be used to convert the distance into a matching degree value. For example, the matching degree calculation formula can be set as matching degree = 1 - (distance / maximum possible distance). Assuming that the maximum possible distance is set to 20MPa in terms of compressive strength and 5 in terms of impermeability grade, the matching degree of compressive strength performance is 1 - (5 / 20) = 0.75, and the matching degree of impermeability performance is 1 - (2 / 50) = 0.6.

[0086] Then, the first modification matching degree of the first cement modification parameter is calculated based on the performance matching degree of each performance index and the predetermined environmental weight coefficient. The environmental weight coefficient reflects the importance of each performance index under different application environments. For example, in a humid underground engineering environment with chemical corrosion, impermeability and durability are more critical. Assuming the environmental weight coefficient for compressive strength is 0.3 and the environmental weight coefficient for impermeability is 0.7, the first modification matching degree can be calculated using a weighted average method, i.e., first modification matching degree = compressive strength performance matching degree × compressive strength environmental weight coefficient + impermeability matching degree × impermeability environmental weight coefficient. Substituting the above values, we get the first modification matching degree = 0.75 × 0.3 + 0.6 × 0.7 = 0.225 + 0.42 = 0.645.

[0087] Finally, following the same method used to obtain the first modification matching degree, the remaining cement modification parameters were sequentially subjected to performance prediction, performance matching degree determination, and modification matching degree calculation, ultimately yielding multiple modification matching degrees.

[0088] This evaluation method allows for a comprehensive and objective assessment of the advantages and disadvantages of different combinations of cement modification parameters. The method fully considers the importance of each performance indicator under different application environments and provides a precise basis for optimizing cement modification parameters through quantitative matching. Compared with empirical evaluation methods, it has higher accuracy and scientific rigor, helping to quickly identify the optimal combination of modification parameters, improve the performance and quality of cement products, and reduce engineering costs and risks.

[0089] In a preferred embodiment, the modification parameter configurator is guided by the multiple sets of cement modification parameters and the multiple modification matching degrees to iteratively configure the cement modification parameters, obtaining the optimal cement modification parameters whose modification matching degree satisfies the cement application information, including: Based on the analysis of the multiple sets of cement modification parameters and the multiple modification matching degrees, the influence trend of the parameter value changes of cement modification parameters on the modification matching degree is analyzed, and the direction of optimization adjustment of cement modification parameters is determined based on the influence trend.

[0090] Based on the optimization adjustment direction, the modification parameter configurator generates multiple sets of adjusted cement modification parameters, and the cement modification evaluator performs modification evaluation on the multiple sets of adjusted cement modification parameters to obtain multiple adjustment modification matching degrees.

[0091] The process is iterated until the termination condition is met. From all the obtained cement modification parameters, the cement modification parameter with the highest modification matching degree that meets the preset matching degree threshold is selected as the optimal cement modification parameter.

[0092] Specifically, in the process of seeking the optimal cement modification parameters, the influence trend of parameter changes on the modification matching degree is analyzed in depth based on multiple sets of cement modification parameters and corresponding multiple modification matching degrees. Taking a single modifier as an example, assuming that a high-efficiency water-reducing agent is used, multiple sets of cement modification parameters and corresponding modification matching degrees at different dosages, such as 0.5%, 1.0%, 1.5%, and 2.0%, are collected. Data analysis shows that as the water-reducing agent dosage increases from 0.5% to 1.5%, the modification matching degree shows an upward trend, indicating that increasing the water-reducing agent dosage within this range helps to improve cement performance to meet application requirements; however, when the dosage continues to increase from 1.5% to 2.0%, the modification matching degree begins to decrease, indicating that excessive dosage may cause negative effects, such as segregation and bleeding, affecting cement quality. For cases involving multiple modifiers, such as the simultaneous use of fly ash and slag powder as mineral admixtures, analyzing the changes in modification matching degree under different fly ash to slag powder ratios, such as fly ash:slag powder = 1:1, 1:2, and 2:1, reveals that some ratios significantly improve the modification matching degree, while others lead to a decrease. This allows for the determination of the optimal ratio range among the various modifiers. Based on these trends, the direction for optimizing cement modification parameters can be accurately determined. For example, in the case of water-reducing agents, the optimization direction is to control the dosage between 1.0% and 1.5%; for the fly ash and slag powder combination, the optimization direction is to adjust towards a ratio that achieves a higher modification matching degree.

[0093] Based on the determined optimization direction, the modification parameter configurator is guided to generate multiple sets of adjusted cement modification parameters. The configurator can quickly generate multiple new schemes with different parameter combinations according to the optimization direction and preset parameter generation rules. For example, in optimizing the water-reducing agent dosage, the configurator may generate multiple sets of adjusted cement modification parameters with different dosages such as 1.1%, 1.2%, 1.3%, and 1.4%; in optimizing the fly ash and slag powder ratio, it will generate new ratio combinations such as fly ash:slag powder = 1.3:1 and 1.2:1.2. Subsequently, the cement modification evaluator is used to evaluate these multiple sets of adjusted cement modification parameters. The evaluator simulates the performance of cement under the new modification parameters, obtains the performance prediction values ​​of each performance index, and calculates multiple adjustment modification matching degrees based on the performance prediction values ​​and performance evaluation thresholds.

[0094] The above process is repeated iteratively until a termination condition is met. The termination condition is set to reaching a preset number of iterations or the modification matching degree converging to a preset convergence threshold. The preset number of iterations is determined based on factors such as actual engineering needs and computational resources, for example, set to 20 iterations. During the iteration process, the optimization direction is further adjusted based on the new modification matching degree each time, generating new adjusted cement modification parameters and evaluating them. The iteration stops when the preset number of iterations is reached; or when the change in modification matching degree over several consecutive iterations is less than the preset convergence threshold, the modification matching degree is considered to have converged, and the iteration also stops.

[0095] Finally, from all the obtained cement modification parameters, the cement modification parameter with the highest modification matching degree that meets the preset matching degree threshold is selected as the optimal cement modification parameter. The preset matching degree threshold is set according to the performance requirements of cement application information, such as requiring a compressive strength matching degree of not less than 0.8 and a permeability matching degree of not less than 0.7. Through this iterative optimization method, the interactions and influences between various modification parameters can be fully considered, and the optimal parameter combination that meets the cement application information can be accurately found. Whether it is the optimal dosage of a single modifier or the optimal ratio combination of multiple modifiers, it can be efficiently determined through this process, significantly improving the scientificity and accuracy of cement modification parameter configuration, effectively improving the performance and quality of cement products, and reducing engineering costs and risks.

[0096] The method for evaluating the modifying effect of cement modification parameters provided in this embodiment of the invention has at least the following technical effects: 1. By constructing application environment vectors and performance requirement constraints, and accurately matching modification parameter configurators from the configurator repository, personalized cement modification parameter configurations can be achieved for cement application needs in different regions and engineering scenarios. This takes into account the differences in environmental temperature, humidity, corrosion level, and performance requirements such as strength and impermeability, avoiding the blindness of general configuration methods and greatly improving the adaptability of cement modification parameters to actual application environments.

[0097] 2. A cement modification evaluator is configured based on application environment information and performance requirements information to perform performance prediction and modification evaluation on multiple sets of cement modification parameters, obtain multiple modification matching degrees, quantify the gap between the predicted value and the evaluation threshold of each performance index, and calculate the comprehensive modification matching degree in combination with the environmental weight coefficient, so that the evaluation results are more scientific, objective and accurate, and provide a reliable quantitative basis for the optimization of cement modification parameters.

[0098] 3. By utilizing multiple sets of cement modification parameters and multiple modification matching degrees, the modification parameter configurator is guided to iteratively configure parameters. By analyzing the influence trend of parameter value changes on the modification matching degree, the direction of optimization adjustment is determined. Adjustment parameters are continuously generated and evaluated. The iterative process continues until the termination condition is met. It can quickly and efficiently find the optimal cement modification parameters that meet the cement application information. Whether it is the optimal dosage of a single modifier or the optimal combination of multiple modifiers, it can be accurately determined, which significantly improves the optimization efficiency and quality.

[0099] Example 2: like Figure 2 As shown, based on the same inventive concept as the method for evaluating the modifying effect of cement modification parameters provided in Embodiment 1, this embodiment of the invention also provides a system for evaluating the modifying effect of cement modification parameters, the system comprising: The information acquisition module 11 is used to acquire cement application information uploaded by the user terminal, including application environment information and performance requirement information.

[0100] The parameter configuration module 12 is used to extract a matching modification parameter configurator based on the cement application information, analyze the application environment information and the performance requirement information based on the modification parameter configurator, and configure multiple sets of cement modification parameters.

[0101] The modification evaluation module 13 is used to configure the cement modification evaluator with the application environment information and the performance requirement information, and to perform modification evaluation on the multiple sets of cement modification parameters based on the cement modification evaluator to obtain multiple modification matching degrees.

[0102] The parameter iteration module 14 is used to guide the modification parameter configurator to iteratively configure the cement modification parameters through the multiple sets of cement modification parameters and the multiple modification matching degrees, so as to obtain the optimal cement modification parameters whose modification matching degree meets the cement application information.

[0103] Furthermore, the parameter configuration module 12 is also used to perform the following steps: Extract application environment information from the cement application information to construct an application environment vector; extract performance requirement information from the cement application information to construct performance requirement constraints; perform configurator matching in the configurator repository based on the application environment vector and the performance requirement constraints to obtain a modified parameter configurator configured with the cement application information.

[0104] Furthermore, the parameter configuration module 12 is also used to perform the following steps: Historical cement application data is collected, including historical application environment information, historical performance requirement information, and corresponding modification parameter configurations. Cluster analysis is performed on the historical application environment information to obtain multiple application environment categories; cluster analysis is performed on the historical performance requirement information to obtain multiple performance requirement categories; the multiple application environment categories and multiple performance requirement categories are combined to form multiple application scenarios; for each application scenario, a corresponding modification parameter configurator is constructed and stored in the configurator repository in association with the application scenario.

[0105] Furthermore, the parameter configuration module 12 is also used to perform the following steps: A first application scenario is determined from the plurality of application scenarios. First historical cement application data is extracted from the historical cement application data based on the first application scenario. Historical application environment information and historical performance requirement information in the first historical cement application data are used as input features, and the corresponding modification parameter configuration is used as output labels. Machine learning is used to train the input features and the output labels to generate a first modification parameter configurator. The first application scenario and the first modification parameter configurator are associated and stored in the configurator repository.

[0106] Furthermore, the modification evaluation module 13 is also used to perform the following steps: Multiple performance indicators are extracted from the performance requirement information, and the performance evaluation threshold of each performance indicator is obtained; the environmental weight coefficient of each performance indicator is determined according to the application environment information; a pre-trained cement modification evaluator is configured according to the performance evaluation threshold and environmental weight coefficient of each performance indicator; based on the configured cement modification evaluator, the modification evaluation of the multiple sets of cement modification parameters is performed respectively, and multiple modification matching degrees are obtained.

[0107] Furthermore, the modification evaluation module 13 is also used to perform the following steps: A first cement modification parameter is extracted from the multiple sets of cement modification parameters; based on the configured cement modification evaluator, the performance of the first cement modification parameter is predicted to obtain the predicted performance values ​​of each performance index; the performance matching degree of each performance index is determined according to the predicted performance values ​​of each performance index and the performance evaluation threshold; the first modification matching degree of the first cement modification parameter is calculated according to the performance matching degree of each performance index and the environmental weight coefficient; the modification matching degree of the remaining cement modification parameters is obtained in the same way as the first modification matching degree, resulting in multiple modification matching degrees.

[0108] Furthermore, the parameter iteration module 14 is also used to perform the following steps: The influence trend of the changes in the parameter values ​​of cement modification parameters on the modification matching degree is analyzed based on the multiple sets of cement modification parameters and the multiple modification matching degrees. Based on the influence trend, the direction of optimization adjustment of cement modification parameters is determined. Based on the optimization adjustment direction, the modification parameter configurator is guided to generate multiple sets of adjusted cement modification parameters, and the cement modification evaluator is used to evaluate the multiple sets of adjusted cement modification parameters to obtain multiple adjustment matching degrees. Iterative execution is performed until the termination condition is met. From all the obtained cement modification parameters, the cement modification parameter with the highest modification matching degree that meets the preset matching degree threshold is selected as the optimal cement modification parameter.

[0109] Through the foregoing detailed description of a method for evaluating the modifying effect of cement modification parameters, those skilled in the art can clearly understand the system for evaluating the modifying effect of cement modification parameters in this embodiment. As the system disclosed in the embodiment corresponds to the method disclosed in the embodiment, the description is relatively simple, and relevant parts can be referred to the method section.

[0110] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the modifying effect of cement modification parameters, characterized in that, The method includes: Obtain cement application information uploaded by the user, including application environment information and performance requirement information; Based on the cement application information, a matching modification parameter configurator is extracted. Based on the modification parameter configurator, the application environment information and the performance requirement information are analyzed, and multiple sets of cement modification parameters are configured. A cement modification evaluator is configured based on the application environment information and the performance requirement information. Based on the cement modification evaluator, the multiple sets of cement modification parameters are evaluated to obtain multiple modification matching degrees. The multiple sets of cement modification parameters and the multiple modification matching degrees guide the modification parameter configurator to iteratively configure the cement modification parameters, thereby obtaining the optimal cement modification parameters whose modification matching degree satisfies the cement application information.

2. The method according to claim 1, characterized in that, Based on the cement application information, a matching modification parameter configurator is extracted, including: Extract the application environment information from the cement application information and construct an application environment vector; Extract the performance requirement information from the cement application information and construct performance requirement constraints; Based on the application environment vector and the performance requirement constraints, configurator matching is performed in the configurator repository to obtain a modified parameter configurator configured with the cement application information.

3. The method according to claim 2, characterized in that, The steps for building the configurator repository include: Collect historical cement application data, which includes historical application environment information, historical performance requirement information, and corresponding modification parameter configurations; Cluster analysis was performed on the historical application environment information to obtain multiple application environment categories; Cluster analysis was performed on the historical performance requirement information to obtain multiple performance requirement categories; The multiple application environment categories and multiple performance requirement categories are combined to form multiple application scenarios; For each of the aforementioned application scenarios, a corresponding modified parameter configurator is constructed and stored in the configurator repository in association with the application scenario.

4. The method according to claim 3, characterized in that, For each of the aforementioned application scenarios, a corresponding modification parameter configurator is constructed, including: A first application scenario is determined from the plurality of application scenarios, and first historical cement application data is extracted from the historical cement application data based on the first application scenario; The historical application environment information and historical performance requirement information in the first historical cement application data are used as input features, and the corresponding modification parameter configuration is used as output label. Machine learning is used to train the input features and the output labels to generate a first modified parameter configurator; The first application scenario and the first modified parameter configurator are associated and stored in the configurator repository.

5. The method according to claim 1, characterized in that, Configure a cement modification evaluator based on the application environment information and performance requirement information. Based on the cement modification evaluator, perform modification evaluations on the multiple sets of cement modification parameters to obtain multiple modification matching degrees, including: Multiple performance indicators are extracted from the performance requirement information, and the performance evaluation thresholds for each performance indicator are obtained. Determine the environmental weight coefficients for each performance indicator based on the application environment information; A pre-trained cement modification evaluator is configured based on the performance evaluation thresholds and environmental weight coefficients of each performance index. Based on the configured cement modification evaluator, the modification evaluation is performed on the multiple sets of cement modification parameters to obtain multiple modification matching degrees.

6. The method according to claim 5, characterized in that, Based on the configured cement modification evaluator, the multiple sets of cement modification parameters are evaluated to obtain multiple modification matching degrees, including: Extract the first cement modification parameter from the multiple sets of cement modification parameters; Based on the configured cement modification evaluator, the performance of the first cement modification parameters is predicted, and the predicted performance values ​​of each performance index are obtained. The performance matching degree of each performance indicator is determined based on the predicted performance value of each performance indicator and the performance evaluation threshold. The first modification matching degree of the first cement modification parameter is calculated based on the performance matching degree of each of the aforementioned performance indicators and the environmental weight coefficient. Following the method for obtaining the first modification matching degree, the modification matching degrees of the remaining cement modification parameters are obtained, resulting in multiple modification matching degrees.

7. The method according to claim 1, characterized in that, The modification parameter configurator is guided by the multiple sets of cement modification parameters and the multiple modification matching degrees to iteratively configure the cement modification parameters, thereby obtaining the optimal cement modification parameters whose modification matching degree satisfies the cement application information, including: The influence trend of the changes in cement modification parameters on the modification matching degree is analyzed based on the multiple sets of cement modification parameters and the multiple modification matching degrees, and the direction of optimization adjustment of cement modification parameters is determined based on the influence trend. Based on the optimization adjustment direction, the modification parameter configurator generates multiple sets of adjusted cement modification parameters, and the cement modification evaluator evaluates the multiple sets of adjusted cement modification parameters to obtain multiple adjustment modification matching degrees. The process is iterated until the termination condition is met. From all the obtained cement modification parameters, the cement modification parameter with the highest modification matching degree that meets the preset matching degree threshold is selected as the optimal cement modification parameter.

8. A system for evaluating the modifying effect of cement modification parameters, characterized in that, A method for evaluating the modification effect of cement modification parameters according to any one of claims 1-7, the system comprising: The information acquisition module is used to acquire cement application information uploaded by the user terminal, including application environment information and performance requirement information. The parameter configuration module is used to extract a matching modification parameter configurator based on the cement application information, analyze the application environment information and the performance requirement information based on the modification parameter configurator, and configure multiple sets of cement modification parameters. The modification evaluation module is used to configure the cement modification evaluator with the application environment information and the performance requirement information, and to perform modification evaluation on the multiple sets of cement modification parameters based on the cement modification evaluator to obtain multiple modification matching degrees. The parameter iteration module is used to guide the modification parameter configurator to iteratively configure the cement modification parameters through the multiple sets of cement modification parameters and the multiple modification matching degrees, so as to obtain the optimal cement modification parameters whose modification matching degree meets the cement application information.

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