Mine underground space full life cycle utilization evaluation method

Abstract

The invention relates to the technical field of mine evaluation methods, in particular to a mine underground space full-life-cycle utilization evaluation method, which divides a mine underground space into three stages, namely a mining stage, a transition stage before mine closing and a utilization stage after mine closing, constructs a targeted evaluation index system, realizes full-process evaluation from development to reutilization, and improves the utilization rate of the mine underground space. The decision deviation caused by staged splitting is avoided, real-time acquisition and transmission of geological data, structural data and the like are realized through regular scanning of a distributed optical fiber sensor and an unmanned aerial vehicle in combination with 5G and Internet of Things technologies, a precise data basis is provided for evaluation, and precise evaluation and intelligent decision support of data driving are realized; and the scientificity, safety and sustainability of mine underground space utilization are improved.

Description

Technical Field

[0001] This invention relates to a method for assessing the utilization of underground space in mines throughout their entire life cycle, belonging to the technical field of mine assessment methods. Background Technology

[0002] In the process of mining resource development and utilization, the rational planning, safe operation, and subsequent reuse of underground space have always been core issues of concern to the industry. Traditional mine assessment methods often focus on the analysis of local indicators in a single stage (such as the mining period), lacking a systematic assessment of the entire life cycle of underground space from mining to reuse after mine closure, leading to frequent problems such as resource waste, environmental damage, and safety hazards.

[0003] With the development of the mining industry, the reuse of underground space after mine closure (such as underground energy storage, tourism development, and warehousing) is gradually becoming a trend. However, the existing assessment system fails to effectively connect the assessment needs at different stages and is unable to dynamically reflect changes in the state of underground space and the interaction of multiple factors. In addition, problems such as insufficient data collection accuracy, static assessment methods, and weak decision support capabilities also restrict the scientific and efficient utilization of underground space throughout its entire life cycle.

[0004] In view of this, the present invention proposes a comprehensive assessment method covering the entire life cycle of underground space in mines. By constructing a multi-dimensional assessment system and introducing advanced data processing and analysis technologies, it achieves dynamic and accurate assessment of the utilization of underground space in mines, providing scientific support for decision-making at each stage. Summary of the Invention

[0005] This invention aims to address the problems of fragmented assessment, single assessment dimensions, insufficient dynamism, and weak decision support in existing mine underground space assessment methods. It provides a full life-cycle assessment method covering the mining period, the pre-closure transition period, and the post-closure utilization period, achieving data-driven accurate assessment and intelligent decision support, and improving the scientific, safe, and sustainable utilization of mine underground space.

[0006] This invention achieves the above objectives through the following technical solution: a method for assessing the full life-cycle utilization of underground space in mines, comprising the following step one: establishing a system architecture for assessing the full life-cycle utilization of underground space in mines, which includes a data acquisition and perception layer, a data transmission and processing layer, and an assessment decision support layer; wherein, the data acquisition and perception layer uses a multi-source sensor network and UAV scanning to acquire geological, environmental, structural stability, and three-dimensional topographic spatial structure data of underground space in mines; the data transmission and processing layer transmits and initially processes the data through 5G, IoT, and edge computing technologies, and then uses big data analysis and machine learning algorithms to deeply mine and analyze the data; the assessment decision support layer develops an integrated assessment software platform and introduces an artificial intelligence-assisted decision-making system.

[0007] Step Two: Divide the entire life cycle of the mine's underground space into three stages: the mining period, the pre-closure transition period, and the post-closure utilization period, and construct a corresponding evaluation index system for each stage. The evaluation index system for the mining period covers the rationality of underground space planning, resource synergy mining, and safety and stability indicators. The evaluation index system for the pre-closure transition period includes the integrity of underground space, the availability of remaining resources, and environmental remediation potential indicators. The evaluation index system for the post-closure utilization period includes the economic benefits, social and environmental benefits, and sustainability indicators of the reuse plan.

[0008] Step 3: The evaluation method is based on a combination of the Analytic Hierarchy Process (AHP) and the Fuzzy Comprehensive Evaluation Method (FUCE), as well as a dynamic evaluation model based on a multi-agent system. The AHP and FUCE first determine the weights of each evaluation index, then convert the actual values ​​of the indexes into fuzzy membership degrees and evaluate them comprehensively. The dynamic evaluation model of the multi-agent system constructs agents representing key factors or subsystems, simulates the evolution process and interaction relationships, and dynamically evaluates the utilization effect and trend.

[0009] Step 4: In the order of mining period, pre-closure transition period and post-closure utilization period, data is collected and prepared at each stage. The data is input into the evaluation software platform, the corresponding evaluation index system and evaluation model are called, the comprehensive evaluation results are obtained according to the evaluation method, an evaluation report is generated and feedback is applied to improve the evaluation system.

[0010] Furthermore, in step one, the geological sensors in the multi-source sensor network are distributed optical fiber sensors, which acquire information on minute deformations of the rock mass by monitoring changes in the optical signal in the optical fiber, with an accuracy of up to the millimeter level, and are used to accurately monitor changes in the geological structure of underground space in mines.

[0011] Furthermore, in step one, the imaging device carried by the UAV is a high-resolution camera, and the lidar has a three-dimensional modeling function. The two work together to regularly scan the mine surface and underground space. The scanning cycle is about 3 months, generating high-precision three-dimensional terrain and spatial structure data for comparative analysis of changes in underground space morphology at different times.

[0012] Furthermore, in step two, the resource synergistic mining index in the mining period assessment index system measures the degree of resource utilization of mine water through the mine water reuse rate and water waste rate. The calculation method for the mine water reuse rate is: (recycled water volume ÷ total amount of mine water generated) × 100%. For geothermal resources, the assessment is carried out using the geothermal resource detection coverage rate and development potential assessment level. The calculation method for the geothermal resource detection coverage rate is: (area of ​​detected geothermal area ÷ total area of ​​underground space in the mine) × 100%.

[0013] Furthermore, in step three, when determining the weights of each evaluation indicator using the analytic hierarchy process, at least five experts from the fields of mining geology, engineering, economics, and environment are invited to conduct pairwise comparisons of the relative importance of indicators at different levels, construct a judgment matrix, and use the 1-9 scale method for the judgment matrix. The indicator weight vector is determined by calculating the largest eigenvalue and eigenvector of the judgment matrix.

[0014] Furthermore, in step three, in the dynamic evaluation model based on the multi-agent system, the agents communicate with each other through a message passing mechanism. The communication protocol adopts the MQTT protocol. When the state of a certain agent changes, the information is transmitted to the relevant agents within 30 seconds to realize the real-time dynamic evaluation of the utilization effect and trend of underground space in the mine.

[0015] Furthermore, in step four, the assessment period during the mining period is every six months, the assessment during the pre-closure transition period is initiated 1-2 years before the closure, and the assessment during the post-closure utilization period begins one year after the reuse project has been in operation. The assessment reports for each stage are presented in the form of visual charts and detailed text reports. The visual charts include, but are not limited to, bar charts, line charts, and radar charts, which are used to intuitively display the assessment results.

[0016] Furthermore, in step four, after the assessment results are fed back to the mining companies and government departments, the mining companies must formulate a rectification plan based on the assessment report recommendations within 30 days and submit it to the government departments for record-keeping. The government departments will classify and supervise the mining companies based on the assessment results, and provide policy support such as tax incentives and priority approval for projects to companies with excellent assessment results, while ordering companies with unqualified assessment results to suspend production for rectification.

[0017] The technical effects and advantages of this invention are as follows: 1. Divide the underground space of the mine into three stages: the mining period, the pre-closure transition period, and the post-closure utilization period. Construct a targeted evaluation index system to achieve full-process evaluation from development to reuse, avoiding decision-making bias caused by the fragmentation of stages. Through distributed fiber optic sensors and regular scanning by drones, combined with 5G and Internet of Things technologies, realize the real-time collection and transmission of geological, structural and other data, and provide an accurate data foundation for evaluation.

[0018] 2. The Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation method ensure the scientific nature of indicator weights and quantitative evaluation. The multi-agent system dynamic evaluation model realizes dynamic trend prediction through intelligent agent interaction simulation system evolution, improving the timeliness and adaptability of the evaluation. The integrated evaluation software platform and artificial intelligence-assisted decision-making system, combined with visualization reports and feedback mechanisms, provide clear basis for enterprise rectification and government supervision, and promote the sustainable development of underground space utilization in mines. Attached Figure Description

[0019] Figure 1This is a flowchart of the analytic hierarchy process and fuzzy comprehensive evaluation method of the present invention; Figure 2 This is a flowchart illustrating the architecture of the mine underground space full life cycle assessment system of the present invention; Figure 3 This is a flowchart illustrating the application and feedback of the evaluation results of this invention. Figure 4 This is a flowchart illustrating the full lifecycle assessment implementation process of the present invention; Detailed Implementation 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.

[0020] Please see Figure 1-4 As shown, a method for assessing the full life-cycle utilization of underground space in mines includes the following steps: Step 1: Establishing a life-cycle assessment system architecture for underground space in mines The architecture comprises a data acquisition and perception layer, a data transmission and processing layer, and an evaluation and decision support layer. Data Acquisition and Sensing Layer: A multi-source sensor network and UAV scanning are employed to acquire geological, environmental, structural stability, and 3D topographic spatial structure data of the mine's underground space. The geological sensors in the multi-source sensor network are distributed fiber optic sensors, which acquire minute deformation information of the rock mass by monitoring changes in the light signal in the optical fiber, achieving millimeter-level accuracy. This is used to precisely monitor changes in the geological structure of the mine's underground space. The UAV carries a high-resolution camera, and the lidar has 3D modeling capabilities. Working together, they periodically scan the mine's surface and underground space, with a scanning cycle of approximately three months, generating high-precision 3D topographic and spatial structure data for comparative analysis of changes in the underground space's morphology over different periods.

[0021] Differences in basic conditions across different mining areas directly affect the rate of change and risk level of underground spatial morphology. For example: In high-altitude or seismically active areas, geological stress changes more frequently and rock mass deformation rates are faster; in humid and rainy areas, groundwater infiltration accelerates tunnel corrosion and poses a high risk of morphological changes, so the cycle needs to be shortened (e.g., 1-2 months) to avoid missing sudden deformations.

[0022] Large mining areas (such as those exceeding 10 km²) have complex underground spatial structures and significant differences in deformation between different areas. The coverage of a single scan is limited, so the cycle needs to be adjusted according to the region: the cycle for key mining areas should be shortened to 2 months, while that for non-mining areas can be extended to 4-5 months.

[0023] In high-intensity mining areas (such as those with a daily mining volume exceeding 10,000 tons), blasting operations and ore transportation cause significant disturbance to the surrounding rock, resulting in more drastic changes in its morphology. Therefore, it is necessary to shorten the cycle (such as 1.5-2 months) and track the impact of mining activities on the spatial morphology in real time.

[0024] In soft rock mining areas, the rock mass has low strength and is prone to plastic deformation. The deformation rate is fast and needs to be shortened to within 2 months.

[0025] In hard rock mining areas, deformation is slow and stable, and can be prolonged to 3-6 months.

[0026] Data transmission and processing layer: Data is transmitted and initially processed through 5G, IoT and edge computing technologies, and then big data analysis and machine learning algorithms are used to deeply mine and analyze the data.

[0027] Evaluation and decision support layer: Develop an integrated evaluation software platform and introduce an artificial intelligence-assisted decision-making system.

[0028] Step Two: Divide the entire life cycle of underground space in the mine and construct an evaluation index system. The entire life cycle of underground space in a mine is divided into three stages: the mining period, the pre-closure transition period, and the post-closure utilization period. A corresponding evaluation index system is then established for each stage. The evaluation index system for the mining period covers the rationality of underground space planning, resource synergy mining, and safety and stability indicators. Among these, the resource synergy mining indicators measure the degree of resource utilization of mine water through mine water reuse rate and water waste rate. The mine water reuse rate is calculated as: (recycled water volume ÷ total mine water production) × 100%. For geothermal resources, the evaluation uses geothermal resource detection coverage rate and development potential assessment level. The geothermal resource detection coverage rate is calculated as: (area of ​​detected geothermal areas ÷ total area of ​​underground space in the mine) × 100%.

[0029] The assessment index system for the transition period before mine closure includes indicators for the integrity of underground space, availability of remaining resources, and potential for environmental remediation.

[0030] The evaluation index system for the post-mine utilization period includes the economic benefits, social and environmental benefits, and sustainability indicators of the reuse plan.

[0031] Step 3: Determine the assessment method The evaluation method combines the analytic hierarchy process (AHP) with the fuzzy comprehensive evaluation method, and uses a dynamic evaluation model based on a multi-agent system as its evaluation approach. Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation Method: First, determine the weights of each evaluation indicator. Invite no fewer than five experts from the fields of mining geology, engineering, economics, and environment to conduct pairwise comparisons of the relative importance of indicators at different levels, construct a judgment matrix, and use the 1-9 scale method for scaling the judgment matrix. Determine the indicator weight vector by calculating the largest eigenvalue and eigenvector of the judgment matrix. Then, convert the actual values ​​of the indicators into fuzzy membership degrees and conduct a comprehensive evaluation.

[0032] Multi-agent system dynamic evaluation model: Construct agents representing key factors or subsystems. The agents communicate with each other through a message passing mechanism. The communication protocol adopts the MQTT protocol. When the state of an agent changes, the information is transmitted to the relevant agents within 30 seconds. Simulate the evolution process and interaction relationship, and dynamically evaluate the utilization effect and trend.

[0033] Step 4: Conduct an assessment and apply feedback Data is collected and prepared in the order of mining period, pre-closure transition period and post-closure utilization period. The data is then input into the evaluation software platform, the corresponding evaluation index system and evaluation model are called, and a comprehensive evaluation result is obtained based on the evaluation method.

[0034] Assessment cycle: The assessment cycle during the mining period is every six months. The assessment during the transition period before mine closure is initiated 1-2 years before mine closure. The assessment during the utilization period after mine closure begins one year after the reuse project has been in operation.

[0035] Assessment Reports: Assessment reports for each stage are presented in the form of visual charts, including but not limited to bar charts, line charts, radar charts, and detailed text reports, to intuitively display the assessment results. The assessment reports for the three stages—mining period, pre-closure transition period, and post-closure utilization period—are all centered around the core objectives, assessment indicator system, and actual utilization needs of the corresponding stage. The mining period assessment report includes the compatibility of the mining layout (such as tunnel orientation and stope distribution) with geological conditions, the utilization rate of underground space (such as the proportion of the mining area to the total underground space), and the connection between the planning scheme and subsequent reuse after mine closure. It verifies whether the preliminary plan meets the needs of the entire life cycle utilization, focusing on the mine water reuse situation (such as the amount of reused water and the calculation results of the mine water reuse rate), the development and utilization of geothermal resources (such as the area of ​​the geothermal area that has been detected and the geothermal resource detection coverage rate), and the synergistic mining efficiency of mineral resources and associated resources (such as co-existing minerals). It assesses whether there are any problems of resource waste or over-exploitation, and identifies potential safety hazards in the mining process based on the rock mass deformation data (such as millimeter-level displacement), underground space structural stability (such as the roadway support effect and the filling quality of the goaf) monitored by distributed fiber optic sensors, and environmental safety indicators (such as groundwater level changes and harmful gas concentrations).

[0036] Pre-closure transition period assessment report: Based on the comparison results of 3D terrain data generated by UAV scanning and data from the initial mining period (such as tunnel deformation and surface subsidence range), and the damage to underground space structures (such as crack distribution and collapse risk areas), this report determines whether the underground space has the basic conditions for reuse after mine closure. It also assesses the unmined mineral resource reserves (such as remaining ore), recyclable associated resources (such as residual mine water and unused geothermal resources), and facilities within the underground space that can be reused (such as ventilation ducts and transport tracks). The report evaluates the development potential and economic value of the remaining resources. Finally, it analyzes the difficulty, required technical solutions, and costs of environmental remediation based on the degree of groundwater pollution (such as mine water pollutant concentration), the extent of rock mass pollution (such as heavy metal pollution areas), and the extent of surface ecological damage (such as vegetation coverage), providing a basis for the post-closure remediation plan.

[0037] Post-closure utilization assessment report: This report assesses the economic feasibility of reuse projects (such as underground energy storage, tourism development, and warehousing) by evaluating their return on investment, operating costs (such as maintenance and energy costs), revenue cycle, and economic benefits compared to other utilization options. It also evaluates the number of jobs created, the impact on surrounding communities (such as infrastructure improvement), and positive environmental impacts (such as carbon emission reduction, groundwater purification, and surface ecological restoration). Finally, it assesses the long-term operational stability (such as the durability of underground space structures and resource replenishment capacity), compatibility with subsequent upgrades (such as the potential for conversion to other uses), and policy compliance (such as compliance with environmental and safety standards).

[0038] Application Feedback: After the assessment results are fed back to the mining companies and government departments, the mining companies must formulate a rectification plan based on the assessment report recommendations within 30 days and submit it to the government departments for record-keeping. The government departments will classify and supervise the mining companies according to the assessment results, and provide policy support such as tax incentives and priority approval for projects to companies with excellent assessment results, while ordering companies with unqualified assessment results to suspend production for rectification, so as to improve the assessment system.

[0039] The assessment method for the full life-cycle utilization of underground space in mines includes the following specific implementation steps: In the assessment of underground space in a certain metal mine, the assessment system architecture is first established: The data acquisition and perception layer deploys a distributed fiber optic sensor network, with optical fibers laid along the surrounding rock of the roadway to monitor rock deformation in real time; UAVs perform monthly scans to shorten the cycle and improve accuracy, acquiring three-dimensional terrain data. The data transmission and processing layer transmits sensor data to edge computing nodes via a 5G network, performs noise filtering and format conversion, and then uploads it to a cloud-based big data platform, using a random forest algorithm to mine the correlation between structural stability and geological parameters. The assessment decision support layer develops a software platform that integrates the indicator systems and assessment models of each stage, supporting data import, automatic calculation, and report generation.

[0040] The entire life cycle of the mine's underground space is divided as follows: an estimated 5-year mining period, a 2-year pre-closure transition period, and a post-closure utilization period planned as an underground energy storage facility. During the mining period, key evaluation indicators for resource synergy will be assessed, such as the mine water reuse rate (calculated at 72%) and geothermal resource detection coverage (65%). During the pre-closure transition period, the integrity of the underground space will be monitored; through drone scanning and comparison, the roadway deformation is less than 0.5 meters. During the post-closure utilization period, the estimated return on investment for the energy storage scheme is 8%, along with carbon emission reduction benefits, resulting in an annual CO2 reduction of 12,000 tons.

[0041] During the assessment, seven experts were invited to construct a judgment matrix using the 1-9 scaling method, and the weight of the safety index during the mining period was determined to be 0.35. The fuzzy comprehensive evaluation method was used to convert the 72% mine water reuse rate into a membership degree of 0.75, and the comprehensive score was 82 points (excellent). The multi-agent system constructed three types of agents: geological stability, environmental impact, and economic benefits. When the increased deformation of the rock mass in a certain area was detected (change in agent state), the environmental impact agent was triggered to adjust the evaluation parameters within 30 seconds, predicting that the environmental remediation cost in the area would increase by 15% within 3 months.

[0042] An assessment report was generated every six months during the mining period, showing a downward trend in the safety index score, from 85 to 82. It was recommended to strengthen the support. The assessment during the transition period before the mine closure found that the remaining ore resources were available in quantities of up to 30,000 tons. After feedback was given to the company, the company formulated a recovery plan within 30 days. The assessment during the one-year utilization period after the mine closure showed that the economic benefits met the standards, but the social acceptance was low. Based on this, the government recommended that the company optimize its science popularization and publicity plan and provide tax incentives, based on the excellent results of the previous assessment.

[0043] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0044] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A method for assessing the full life-cycle utilization of underground space in mines, characterized in that, Includes the following steps: Step 1: Establish a full life-cycle assessment system architecture for underground space in mines. This architecture includes a data acquisition and perception layer, a data transmission and processing layer, and an assessment decision support layer. The data acquisition and perception layer uses a multi-source sensor network and UAV scanning to acquire geological, environmental, structural stability, and three-dimensional topographic spatial structure data of the underground space in the mine. The data transmission and processing layer transmits and initially processes the data using 5G, IoT, and edge computing technologies, and then uses big data analytics and machine learning algorithms for in-depth data mining and analysis. The assessment decision support layer develops an integrated assessment software platform and introduces an artificial intelligence-assisted decision-making system. Step Two: Divide the entire life cycle of the mine's underground space into three stages: the mining period, the pre-closure transition period, and the post-closure utilization period, and construct a corresponding evaluation index system for each stage. The evaluation index system for the mining period covers the rationality of underground space planning, resource synergy mining, and safety and stability indicators. The evaluation index system for the pre-closure transition period includes the integrity of underground space, the availability of remaining resources, and environmental remediation potential indicators. The evaluation index system for the post-closure utilization period includes the economic benefits, social and environmental benefits, and sustainability indicators of the reuse plan. Step 3: The evaluation method is based on a combination of the Analytic Hierarchy Process (AHP) and the Fuzzy Comprehensive Evaluation Method (FUCE), as well as a dynamic evaluation model based on a multi-agent system. The AHP and FUCE first determine the weights of each evaluation index, then convert the actual values ​​of the indexes into fuzzy membership degrees and evaluate them comprehensively. The dynamic evaluation model of the multi-agent system constructs agents representing key factors or subsystems, simulates the evolution process and interaction relationships, and dynamically evaluates the utilization effect and trend. Step 4: In the order of mining period, pre-closure transition period and post-closure utilization period, data is collected and prepared at each stage. The data is input into the evaluation software platform, the corresponding evaluation index system and evaluation model are called, the comprehensive evaluation results are obtained according to the evaluation method, an evaluation report is generated and feedback is applied to improve the evaluation system.

2. The method for assessing the full life-cycle utilization of underground space in mines according to claim 1, characterized in that, In step one, the geological sensors in the multi-source sensor network are distributed optical fiber sensors. They acquire information on minute deformations of the rock mass by monitoring changes in the optical signal in the optical fiber, with an accuracy of up to the millimeter level, and are used to accurately monitor changes in the geological structure of underground space in mines.

3. The method for assessing the full life-cycle utilization of underground space in mines according to claim 1, characterized in that, In step one, the imaging equipment carried by the UAV is a high-resolution camera, and the lidar has a three-dimensional modeling function. The two work together to regularly scan the surface and underground space of the mine. The scanning cycle is about 3 months, generating high-precision three-dimensional terrain and spatial structure data, which are used to compare and analyze the changes in the morphology of underground space at different times.

4. The method for assessing the full life-cycle utilization of underground space in mines according to claim 1, characterized in that, In step two, the resource synergistic mining index in the mining period assessment index system measures the degree of resource utilization of mine water through the mine water reuse rate and water waste rate. The calculation method for the mine water reuse rate is: (recycled water volume ÷ total amount of mine water generated) × 100%. For geothermal resources, the assessment is carried out using the geothermal resource detection coverage rate and development potential assessment level. The calculation method for the geothermal resource detection coverage rate is: (area of ​​detected geothermal area ÷ total area of ​​underground space in the mine) × 100%.

5. The method for assessing the full life-cycle utilization of underground space in mines according to claim 1, characterized in that, In step three, when determining the weights of each evaluation indicator using the analytic hierarchy process, no fewer than five experts from the fields of mining geology, safety, engineering, economics, and environment are invited to conduct pairwise comparisons of the relative importance of indicators at different levels, construct a judgment matrix, and use the 1-9 scale method for the judgment matrix. The indicator weight vector is determined by calculating the largest eigenvalue and eigenvector of the judgment matrix.

6. The method for assessing the full life-cycle utilization of underground space in mines according to claim 1, characterized in that, In step three, in the dynamic evaluation model based on the multi-agent system, the agents communicate with each other through a message passing mechanism. The communication protocol adopts the MQTT protocol. When the state of a certain agent changes, the information is transmitted to the relevant agents within 30 seconds to realize the real-time dynamic evaluation of the utilization effect and trend of underground space in the mine.

7. The method for assessing the full life-cycle utilization of underground space in mines according to claim 1, characterized in that, In step four, the assessment period during the mining period is every six months. The assessment during the pre-closure transition period is initiated 1-2 years before the closure. The assessment during the post-closure utilization period begins one year after the reuse project has been in operation. The assessment reports for each stage are presented in the form of visual charts and detailed text reports. The visual charts include, but are not limited to, bar charts, line charts, and radar charts, which are used to intuitively display the assessment results.

8. The method for assessing the full life-cycle utilization of underground space in mines according to claim 1, characterized in that, In step four, after the assessment results are fed back to the mining companies and government departments, the mining companies must formulate a rectification plan based on the assessment report recommendations within 30 days and submit it to the government departments for record-keeping. The government departments will classify and supervise the mining companies according to the assessment results, and provide policy support such as tax incentives and priority approval for projects to companies with excellent assessment results, while ordering companies with unqualified assessment results to suspend production for rectification.

Images