Mining industry filling material and preparation process thereof

By obtaining and optimizing the proportion information and historical data of mining fill materials, combined with simulation model verification, the impact of mining plate surrounding rock and roof slabs on underground production is solved, and the safety and production environment are improved, and the tail is extended. The mine dam service life and reduces costs.

CN119118575AInactive Publication Date: 2024-12-13ZHENGXIANG BAIQI QIANJINDA MINING CO LTD
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Patent Information

Application Number
CN202411107717.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-13
Publication Date
2024-12-13
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The fall of the upper and lower plates of the surrounding rocks and roof plates in the mining field has an impact on underground production, resulting in the inability to accurately select the filling material ratio, affecting the safety of mining operations and production environment.

Method used

By obtaining the basic proportion information and historical data of mining fill materials, filter out the historical optimal proportion, optimize the proportion model and adjust it according to specific needs, and verify the proportion scheme through simulation models to ensure the rationality and applicability of the proportion , provides scientific filling materials and preparation processes.

Benefits of technology

It significantly improves the safety of mining operations, effectively controls ground pressure, prevents mining sites from collapse, extends the service life of tailings ponds, protects surface buildings and ecological environment, improves production efficiency and distribution reliability, and reduces costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of mining filling, and provides a mining filling material and a preparation process thereof.According to the mining filling material and the preparation process thereof, the type and proportion of the real-time filling material are determined by obtaining proportion information, historical data and a mining filling demand value and utilizing an optimal proportion model and simulation verification; according to the mining industry filling material and the preparation process thereof, the problem of filling material ratio selection is solved, the safety of mining operation is improved, the underground production and ecological environment is protected, the pressure of a tailing pond is reduced, and the economic benefit is increased. The method comprises the steps of dynamic ratio adjustment, historical optimal ratio screening, demand value preprocessing, model optimization and simulation verification of the ratio effect, the reliability and scientificity of filling are improved, and meanwhile the preparation efficiency of the filling material is improved.
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Description

Technical Field

[0001] The invention relates to the technical field of mining filling, and in particular to a mining filling material and a preparation process thereof. Background Art

[0002] At present, the mine mainly adopts the shallow hole ore retention method and the staged empty field method for mining. The mining workers are directly exposed to the roof, which poses a great safety hazard. If the staged empty field and subsequent filling mining method is adopted, the workers can be prevented from being directly exposed to the roof, and the safety benefits are greatly increased. With the increase of mining depth, the ground pressure activity of the mining area increases. The filling method is conducive to controlling the ground pressure of the mining area and ensuring the safe production of mining operations.

[0003] The backfill mining method can provide effective support for the goaf, prevent the surrounding rock and roof of the upper and lower plates of the mining area from falling, effectively control the ground pressure, avoid the collapse of the goaf and the impact on underground production, slow down and control the movement of rock strata and surface subsidence and collapse, and protect surface buildings and the ecological environment; it can reduce the storage capacity pressure of the tailings pond and extend the service life of the tailings pond. When the goaf needs to be filled, the type and proportion of the filling material need to be selected to meet the needs of mining filling. Summary of the invention

[0004] The purpose of the present invention is to provide a mining filling material and a preparation process thereof, so as to solve the problem that the filling material ratio cannot be accurately selected after the fall of the upper and lower surrounding rocks and the roof of the mining site affects the underground production.

[0005] The present invention provides a mining filling material and a preparation process thereof, comprising:

[0006] Step S101, obtaining mining filling material ratio information, the mining filling material ratio information includes ultrafine tailings: 260-300 parts, river sand: 90-300 parts, quicklime: 8-20 parts, desulfurized gypsum: 50-100 parts, cement: 20-60 parts, water: 100-200 parts, dispersant: 25-50 parts;

[0007] Step S102, obtaining historical data of mining filling materials, the historical data of mining filling materials including mining filling effects and mining filling material ratio information corresponding to the mining filling effects, selecting the historical best mining filling effect optimal value from the mining filling effects, and retrieving the mining filling material ratio information corresponding to the historical best mining filling effect optimal value;

[0008] Step S103, receiving a mining filling demand value, comparing the mining filling demand value with a historical optimal mining filling effect value, obtaining a filling effect gap value, optimizing a preset filling material ratio model according to the filling effect gap value, and obtaining an optimized filling material ratio model;

[0009] Step S104, substituting the mining filling demand value into the optimized filling material ratio model to obtain the real-time filling material type and filling material ratio;

[0010] Step S105, substitute the real-time filling material type and filling material ratio into the preset mining filling simulation model to obtain the mining filling simulation data, compare the mining filling simulation data with the mining filling demand value, if the mining filling simulation data meets the minimum value of the mining filling demand value, then the real-time filling material type and filling material ratio are marked as the ratio information to be processed, according to the processing ratio information, match the corresponding mining filling material preparation process in the knowledge base, and obtain the mining filling material ratio and mining filling material preparation process.

[0011] Furthermore, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S101:

[0012] According to the mining filling material ratio information, set the dynamic adjustment range of the mining filling material ratio;

[0013] The dynamic adjustment range of ultrafine tailings is 260 to 300 parts, the dynamic adjustment range of river sand is 90 to 300 parts, the dynamic adjustment range of quicklime is 8 to 20 parts, the dynamic adjustment range of desulfurized gypsum is 50 to 100 parts, the dynamic adjustment range of cement is 20 to 60 parts, the dynamic adjustment range of water is 100 to 200 parts, and the dynamic adjustment range of dispersant is 25 to 50 parts;

[0014] River sand is used to increase the volume and stability of the filling material;

[0015] Quicklime is used to provide an alkaline environment to promote the gelling reaction;

[0016] Desulfurized gypsum is used as a sulfate activator to enhance the early strength of the filling material;

[0017] Cement is used as a cementitious material to provide long-term strength to the filling material;

[0018] Dispersants are used to improve the fluidity of fillers to facilitate transportation and filling.

[0019] Furthermore, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S102:

[0020] The server obtains historical data of mining filling materials, where the historical data of mining filling materials includes the proportion information of mining filling materials;

[0021] The server screens the stored historical data to find the records with the best mining filling effects. The screening criteria include stability after filling, filling cost, and environmental impact after filling.

[0022] Further determine the optimal value of the historical optimal mining filling effect in the screened data. The optimal value is obtained based on a comprehensive scoring system, which is used to evaluate the effect after filling;

[0023] When the optimal value of the historical optimal mining filling effect is determined, the mining filling material ratio information corresponding to the optimal value is retrieved, and the retrieved optimal ratio information is output, and the retrieved optimal ratio information is used for preparing new filling materials.

[0024] Furthermore, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S103:

[0025] receiving a mining filling requirement value from a client, the mining filling requirement value including expected filling strength, stability requirements, cost constraints, and environmental conditions;

[0026] Preprocessing the received mining filling demand value, including data cleaning, formatting or unit conversion, to obtain the preprocessed mining filling demand value;

[0027] Substitute the preprocessed mining filling demand value into the optimized filling material ratio model. When the preprocessed mining filling demand value is substituted, the server runs the ratio model. The model will calculate the best filling material type and ratio that meets the mining filling demand based on the preset algorithm and logic and the demand value;

[0028] The output results after the model is run include the type of filling material and the proportion of each material;

[0029] Receive the actual needs and constraints of mining filling,

[0030] The server verifies the results of the model output according to the actual needs and constraints of mining filling. If the results are found to be unreasonable, the server will fine-tune the proportion or replace certain material types, and output the real-time filling material type and proportion:

[0031] After verification and adjustment, the server outputs the final real-time filling material type and ratio scheme for subsequent filling material preparation.

[0032] Furthermore, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S104:

[0033] The pre-processed mining filling demand value is used as an input parameter and substituted into the optimized filling material ratio model. The ratio model calculates and infers based on the input demand value to determine the best filling material type and ratio;

[0034] The calculation results are obtained from the proportioning model, including the recommended filling material type and the proportion of each material, and the recommended filling material type and the proportion of each material are sent back to the client through the data interface.

[0035] Furthermore, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S105:

[0036] The real-time filling material type and proportion obtained in step S104 are used as input parameters and substituted into the mining filling simulation model;

[0037] Start the simulation model and perform simulation calculations based on the input filling material type and ratio. The simulation model will output mining filling simulation data, including the strength index, stability index, and sedimentation rate index of the filling body.

[0038] Extracting mining filling simulation data from the simulation model, comparing the extracted mining filling simulation data with the original mining filling demand value, the comparison content includes the strength, stability and sedimentation rate of the filling body, and obtaining the comparison result between the mining filling simulation data and the original mining filling demand value;

[0039] According to the comparison result between the mining filling simulation data and the original mining filling requirement value, it is judged whether the mining filling simulation data reaches or exceeds the minimum standard of the mining filling requirement value;

[0040] If the simulation data meets or exceeds the minimum requirement of the demand value, the current filling material type and ratio are usable data, and the real-time filling material type and ratio are marked as ratio information to be processed.

[0041] Beneficial effects of the present invention: The present invention completes the selection of filling material ratios through data processing technology, effectively avoids the direct exposure of mining workers to dangerous environments, and significantly improves the safety of mining operations. The filling mining method effectively controls the ground pressure, prevents the fall of the surrounding rock and roof of the upper and lower plates of the mining site, protects the underground production environment, and avoids the risk of collapse. The present invention helps to slow down the movement of rock strata and the subsidence and collapse of the surface, and plays an important protective role in surface buildings and the ecological environment. By rationally utilizing filling materials, the storage capacity pressure of the tailings pond is reduced, thereby extending its service life. The present invention flexibly adjusts the material ratio according to different conditions, ensures the rationality and applicability of the ratio, and better meets different mining needs. Through the analysis and utilization of historical data, it provides valuable reference for subsequent ratios, making the ratio more scientific and accurate. The ratio model is optimized according to specific needs to obtain filling materials and ratio schemes that meet actual needs. The effect of the ratio scheme is verified by a simulation model, which greatly improves the reliability of the filling effect. A preparation process matching the verified ratio scheme is provided to ensure effective execution in actual production. The automated ratio optimization and simulation verification process reduces manual intervention, improves production efficiency and reduces costs.

[0042] In summary, the present invention not only improves the safety of mining operations and the ecological environmental protection effect, but also improves production efficiency and reduces costs through scientific ratio selection and preparation process, and has significant advantages in many aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 A schematic diagram of a process method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0046] The present invention provides a mining filling material and a preparation process thereof, comprising:

[0047] Step S101, obtaining mining filling material ratio information, the mining filling material ratio information includes ultrafine tailings: 260-300 parts, river sand: 90-300 parts, quicklime: 8-20 parts, desulfurized gypsum: 50-100 parts, cement: 20-60 parts, water: 100-200 parts, dispersant: 25-50 parts;

[0048] Step S101 involves obtaining the proportion information of mining filling materials, specifically including the following materials and their proportion ranges: ultrafine tailings (260-300 parts), river sand (90-300 parts), quicklime (8-20 parts), desulfurized gypsum (50-100 parts), cement (20-60 parts), water (100-200 parts) and dispersant (25-50 parts), river sand is used to increase the volume and stability of the filling material, quicklime provides an alkaline environment and promotes the gelling reaction, desulfurized gypsum is used as a sulfate activator to enhance the early strength of the filling material, cement is used as a gelling material to provide long-term strength, and dispersant is used to improve the fluidity of the filling material. This step also includes setting a dynamic adjustment range of the proportion so that it can be flexibly adjusted under different conditions to achieve the best filling effect.

[0049] Step S102, obtaining historical data of mining filling materials, the historical data of mining filling materials including mining filling effects and mining filling material ratio information corresponding to the mining filling effects, selecting the historical best mining filling effect optimal value from the mining filling effects, and retrieving the mining filling material ratio information corresponding to the historical best mining filling effect optimal value;

[0050] The server will obtain the historical data of mining filling materials from the storage system. The historical data of mining filling materials includes the past mining filling effects and the corresponding filling material ratio information. The server screens the historical data to find the records with the best filling effect. The screening criteria usually include the stability, cost and environmental impact of the filling. In the screened data, the optimal value of the historical optimal filling effect is further determined. The optimal value is obtained through a comprehensive scoring system, which considers multiple factors to comprehensively evaluate the filling effect. When the optimal value is determined, the server retrieves the mining filling material ratio information corresponding to the optimal value. The mining filling material ratio information is used as a reference for the subsequent preparation of filling materials, providing more scientific and reasonable material ratio suggestions for new filling tasks, thereby improving the filling effect and efficiency. Step S102 provides strong data support for the selection of the filling material ratio by analyzing the optimal ratio in the historical data, ensuring the stability and reliability of the filling effect.

[0051] Step S103, receiving a mining filling demand value, comparing the mining filling demand value with a historical optimal mining filling effect value, obtaining a filling effect gap value, optimizing a preset filling material ratio model according to the filling effect gap value, and obtaining an optimized filling material ratio model;

[0052] Receive mining filling demand values ​​from clients, which include key information such as expected filling strength, stability requirements, cost constraints, and environmental conditions. Preprocess the received demand values, including data cleaning, formatting, or unit conversion, to ensure data accuracy and consistency, and provide a reliable data foundation for subsequent model optimization.

[0053] Then, the pre-processed mining filling demand values ​​will be substituted into the optimized filling material ratio model, and the optimal filling material type and ratio that meets the mining filling demand will be calculated based on the preset algorithm and logic, combined with these demand values. This is a key step in achieving flexible ratio adjustment.

[0054] After the model is completed, the filling material type and the proportion of each material are output. In order to ensure the rationality and applicability of the output proportion scheme, the model output results are verified according to the actual needs and constraints of mining filling. If the results are found to be unreasonable, the proportions are fine-tuned or certain material types are replaced to ensure that the final proportion scheme can meet the actual needs.

[0055] Finally, after verification and adjustment, the final real-time filling material type and proportion scheme is output. The scheme will be directly used in the preparation of subsequent filling materials, providing scientific and reasonable proportion suggestions for mining filling, thereby improving the filling effect and efficiency.

[0056] Step S104, substituting the mining filling demand value into the optimized filling material ratio model to obtain the real-time filling material type and filling material ratio;

[0057] Step S104 uses the preprocessed mining filling requirement value as an input parameter. The mining filling requirement value includes the expected filling strength, stability requirements, cost constraints, and environmental conditions, etc., which are important references for ensuring that the filling effect meets expectations.

[0058] Next, the preprocessed mining filling demand values ​​are substituted into the optimized filling material ratio model. The model calculates and infers based on the input demand values, and determines the optimal filling material type and ratio through complex algorithms and logic.

[0059] Then, the calculation results are obtained from the proportioning model, which indicates the recommended filling material type and the proportion of each material, providing clear guidance for the subsequent filling material preparation.

[0060] Finally, the recommended filling material type and ratio will be sent back to the client through the data interface for reference and use by relevant personnel.

[0061] The purpose of step S104 is to quickly and accurately determine the required filling material type and proportion according to the actual mining filling requirements. Through this step, the present invention can flexibly respond to different mining filling requirements and ensure that the selection of filling materials not only meets technical requirements, but also meets economic benefits and environmental protection standards. The whole process is highly automated, reducing manual intervention and improving production efficiency and accuracy.

[0062] Step S105, substitute the real-time filling material type and filling material ratio into the preset mining filling simulation model to obtain the mining filling simulation data, compare the mining filling simulation data with the mining filling demand value, if the mining filling simulation data meets the minimum value of the mining filling demand value, then the real-time filling material type and filling material ratio are marked as the ratio information to be processed, according to the processing ratio information, match the corresponding mining filling material preparation process in the knowledge base, and obtain the mining filling material ratio and mining filling material preparation process.

[0063] Step S105 substitutes the real-time filling material type and filling material ratio into a preset mining filling simulation model. The simulation model is a tool for simulating the mining filling process. It can predict the effect after filling based on the provided filling material and ratio, and generate corresponding mining filling simulation data.

[0064] Next, the mining filling simulation data is compared with the original mining filling demand value. This comparison process is to verify whether the current filling materials and proportions can meet the actual filling needs.

[0065] If the mining filling simulation data meets the minimum requirements of the mining filling demand value, the current real-time filling material type and the filling material ratio will be marked as the ratio information to be processed, and the ratio information is feasible and can be used for actual filling operations.

[0066] Then, according to the ratio information marked as to be processed, the corresponding mining filling material preparation process is matched in the knowledge base. The knowledge base is a database that stores a large amount of mining filling related knowledge and experience. Through matching, the preparation process that best suits the current ratio can be found.

[0067] Finally, the mining filling material ratio and mining filling material preparation process are output. This information will be directly used to guide the subsequent filling material preparation and filling operations to ensure that the filling process can proceed according to the expected results.

[0068] Specifically, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S101:

[0069] According to the mining filling material ratio information, set the dynamic adjustment range of the mining filling material ratio;

[0070] The dynamic adjustment range of ultrafine tailings is 260 to 300 parts, the dynamic adjustment range of river sand is 90 to 300 parts, the dynamic adjustment range of quicklime is 8 to 20 parts, the dynamic adjustment range of desulfurized gypsum is 50 to 100 parts, the dynamic adjustment range of cement is 20 to 60 parts, the dynamic adjustment range of water is 100 to 200 parts, and the dynamic adjustment range of dispersant is 25 to 50 parts;

[0071] River sand is used to increase the volume and stability of the filling material;

[0072] Quicklime is used to provide an alkaline environment to promote the gelling reaction;

[0073] Desulfurized gypsum is used as a sulfate activator to enhance the early strength of the filling material;

[0074] Cement is used as a cementitious material to provide long-term strength to the filling material;

[0075] Dispersants are used to improve the fluidity of fillers to facilitate transportation and filling.

[0076] Specifically, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S102:

[0077] The server obtains historical data of mining filling materials, where the historical data of mining filling materials includes the proportion information of mining filling materials;

[0078] The server screens the stored historical data to find the records with the best mining filling effects. The screening criteria include stability after filling, filling cost, and environmental impact after filling.

[0079] Further determine the optimal value of the historical optimal mining filling effect in the screened data. The optimal value is obtained based on a comprehensive scoring system, which is used to evaluate the effect after filling;

[0080] When the optimal value of the historical optimal mining filling effect is determined, the mining filling material ratio information corresponding to the optimal value is retrieved, and the retrieved optimal ratio information is output, and the retrieved optimal ratio information is used for preparing new filling materials.

[0081] Specifically, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S103:

[0082] receiving a mining filling requirement value from a client, the mining filling requirement value including expected filling strength, stability requirements, cost constraints, and environmental conditions;

[0083] Preprocessing the received mining filling demand value, including data cleaning, formatting or unit conversion, to obtain the preprocessed mining filling demand value;

[0084] Substitute the preprocessed mining filling demand value into the optimized filling material ratio model. When the preprocessed mining filling demand value is substituted, the server runs the ratio model. The model will calculate the best filling material type and ratio that meets the mining filling demand based on the preset algorithm and logic and the demand value;

[0085] The output results after the model is run include the type of filling material and the proportion of each material;

[0086] Receive the actual needs and constraints of mining filling,

[0087] The server verifies the results of the model output according to the actual needs and constraints of mining filling. If the results are found to be unreasonable, the server will fine-tune the proportion or replace certain material types, and output the real-time filling material type and proportion:

[0088] After verification and adjustment, the server outputs the final real-time filling material type and ratio scheme for subsequent filling material preparation.

[0089] Specifically, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S104:

[0090] The pre-processed mining filling demand value is used as an input parameter and substituted into the optimized filling material ratio model. The ratio model calculates and infers based on the input demand value to determine the best filling material type and ratio;

[0091] The calculation results are obtained from the proportioning model, including the recommended filling material type and the proportion of each material, and the recommended filling material type and the proportion of each material are sent back to the client through the data interface.

[0092] Specifically, the present invention provides a mining filling material and a preparation process thereof, which comprises, in step S105:

[0093] The real-time filling material type and proportion obtained in step S104 are used as input parameters and substituted into the mining filling simulation model;

[0094] Start the simulation model and perform simulation calculations based on the input filling material type and ratio. The simulation model will output mining filling simulation data, including the strength index, stability index, and sedimentation rate index of the filling body.

[0095] Extracting mining filling simulation data from the simulation model, comparing the extracted mining filling simulation data with the original mining filling demand value, the comparison content includes the strength, stability and sedimentation rate of the filling body, and obtaining the comparison result between the mining filling simulation data and the original mining filling demand value;

[0096] According to the comparison result between the mining filling simulation data and the original mining filling requirement value, it is judged whether the mining filling simulation data reaches or exceeds the minimum standard of the mining filling requirement value;

[0097] If the simulation data meets or exceeds the minimum requirement of the demand value, the current filling material type and ratio are usable data, and the real-time filling material type and ratio are marked as ratio information to be processed.

[0098] The present invention solves the problem that the proportion of filling materials cannot be accurately selected after the fall of the upper and lower surrounding rocks and the roof of the stope affects the underground production:

[0099] The present invention first obtains the basic ratio information of mining filling materials, and sets the dynamic adjustment range of each material, and flexibly adjusts it according to different conditions to ensure the rationality and applicability of the ratio. By analyzing historical data, the present invention selects the ratio information corresponding to the historical optimal filling effect, which provides a valuable reference for subsequent ratios.

[0100] When receiving a specific mining filling demand value, the present invention compares the mining filling demand value with the historical optimal effect, and optimizes a preset filling material ratio model according to the difference.

[0101] Substitute the real-time filling material type and filling material ratio into the preset mining filling simulation model to obtain mining filling simulation data, compare the mining filling simulation data with the mining filling demand value, and if the mining filling simulation data meets the minimum value of the mining filling demand value, the real-time filling material type and filling material ratio are marked as the ratio information to be processed, and the corresponding mining filling material preparation process is matched in the knowledge base according to the processing ratio information to obtain the mining filling material ratio and the mining filling material preparation process. For the verified ratio information, the present invention will match the corresponding mining filling material preparation process and provide complete filling material ratio and preparation process guidance. This ensures effective execution in actual production and optimization of filling effect.

[0102] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution in the embodiments of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, and the computer software product can be stored in a storage medium to execute the methods described in various embodiments of the present invention or certain parts of the embodiments.

[0103] The above-described embodiments of the present invention do not limit the protection scope of the present invention.

Claims

1. A mining filling material and a preparation process thereof, characterized in that: include: Step S101, obtaining mining filling material ratio information, the mining filling material ratio information includes ultrafine tailings: 260-300 parts, river sand: 90-300 parts, quicklime: 8-20 parts, desulfurized gypsum: 50-100 parts, cement: 20-60 parts, water: 100-200 parts, dispersant: 25-50 parts; Step S102, obtaining historical data of mining filling materials, the historical data of mining filling materials including mining filling effects and mining filling material ratio information corresponding to the mining filling effects, selecting the historical best mining filling effect optimal value from the mining filling effects, and retrieving the mining filling material ratio information corresponding to the historical best mining filling effect optimal value; Step S103, receiving a mining filling demand value, comparing the mining filling demand value with a historical optimal mining filling effect value, obtaining a filling effect gap value, optimizing a preset filling material ratio model according to the filling effect gap value, and obtaining an optimized filling material ratio model; Step S104, substituting the mining filling demand value into the optimized filling material ratio model to obtain the real-time filling material type and filling material ratio; Step S105, substitute the real-time filling material type and filling material ratio into the preset mining filling simulation model to obtain the mining filling simulation data, compare the mining filling simulation data with the mining filling demand value, if the mining filling simulation data meets the minimum value of the mining filling demand value, then the real-time filling material type and filling material ratio are marked as the ratio information to be processed, according to the processing ratio information, match the corresponding mining filling material preparation process in the knowledge base, and obtain the mining filling material ratio and mining filling material preparation process.

2. The method according to claim 1, characterized in that In step S101, it includes: According to the mining filling material ratio information, set the dynamic adjustment range of the mining filling material ratio; The dynamic adjustment range of ultrafine tailings is 260 to 300 parts, the dynamic adjustment range of river sand is 90 to 300 parts, the dynamic adjustment range of quicklime is 8 to 20 parts, the dynamic adjustment range of desulfurized gypsum is 50 to 100 parts, the dynamic adjustment range of cement is 20 to 60 parts, the dynamic adjustment range of water is 100 to 200 parts, and the dynamic adjustment range of dispersant is 25 to 50 parts; River sand is used to increase the volume and stability of the filling material; Quicklime is used to provide an alkaline environment to promote the gelling reaction; Desulfurized gypsum is used as a sulfate activator to enhance the early strength of the filling material; Cement is used as a cementitious material to provide long-term strength to the filling material; Dispersants are used to improve the fluidity of fillers to facilitate transportation and filling.

3. The method according to claim 1, characterized in that In step S102, it includes: The server obtains historical data of mining filling materials, where the historical data of mining filling materials includes the proportion information of mining filling materials; The server screens the stored historical data to find the records with the best mining filling effects. The screening criteria include stability after filling, filling cost, and environmental impact after filling. Further determine the optimal value of the historical optimal mining filling effect in the screened data. The optimal value is obtained based on a comprehensive scoring system, which is used to evaluate the effect after filling; When the optimal value of the historical optimal mining filling effect is determined, the mining filling material ratio information corresponding to the optimal value is retrieved, and the retrieved optimal ratio information is output, and the retrieved optimal ratio information is used for preparing new filling materials.

4. The method according to claim 1, characterized in that In step S103, it includes: receiving a mining filling requirement value from a client, the mining filling requirement value including expected filling strength, stability requirements, cost constraints, and environmental conditions; Preprocessing the received mining filling demand value, including data cleaning, formatting or unit conversion, to obtain the preprocessed mining filling demand value; Substitute the preprocessed mining filling demand value into the optimized filling material ratio model. When the preprocessed mining filling demand value is substituted, the server runs the ratio model. The model will calculate the best filling material type and ratio that meets the mining filling demand based on the preset algorithm and logic and the demand value; The output results after the model is run include the type of filling material and the proportion of each material; Receive the actual needs and constraints of mining filling, The server verifies the results of the model output according to the actual needs and constraints of mining filling. If the results are found to be unreasonable, the server will fine-tune the proportion or replace certain material types, and output the real-time filling material type and proportion: After verification and adjustment, the server outputs the final real-time filling material type and ratio scheme for subsequent filling material preparation.

5. The method according to claim 1, characterized in that In step S104, it includes: The pre-processed mining filling demand value is used as an input parameter and substituted into the optimized filling material ratio model. The ratio model calculates and infers based on the input demand value to determine the best filling material type and ratio; The calculation results are obtained from the proportioning model, including the recommended filling material type and the proportion of each material, and the recommended filling material type and the proportion of each material are sent back to the client through the data interface.

6. The method according to claim 1, characterized in that In step S105, it includes: The real-time filling material type and proportion obtained in step S104 are used as input parameters and substituted into the mining filling simulation model; Start the simulation model and perform simulation calculations based on the input filling material type and ratio. The simulation model will output mining filling simulation data, including the strength index, stability index, and sedimentation rate index of the filling body; Extracting mining filling simulation data from the simulation model, comparing the extracted mining filling simulation data with the original mining filling demand value, the comparison content includes the strength, stability and sedimentation rate of the filling body, and obtaining the comparison result between the mining filling simulation data and the original mining filling demand value; According to the comparison result between the mining filling simulation data and the original mining filling requirement value, it is judged whether the mining filling simulation data reaches or exceeds the minimum standard of the mining filling requirement value; If the simulation data meets or exceeds the minimum requirement of the demand value, the current filling material type and ratio are usable data, and the real-time filling material type and ratio are marked as ratio information to be processed.

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