Coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resource utilization

Abstract

The application discloses a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resource utilization, which dynamically determines the accident risk detection level by real-time monitoring of underground environment data and multi-parameter coupling analysis. When the detection level reaches the threshold value, the solid waste resource utilization disposal scheme generation process is automatically triggered, and based on the solid waste characteristic database and real-time inventory information, the detailed disposal instruction set for converting specific solid waste into target monitoring materials is planned and generated. While coordinating the on-site unit to execute the instructions, prepare and deliver the accident materials, the system starts the carbon sink resource accounting process in parallel, calculates the net carbon sink equivalent generated by solid waste utilization, avoids natural emission and material storage effect based on life cycle analysis, integrates the monitoring state, disposal execution progress and carbon sink benefit, generates a comprehensive management report and displays it through a visual interface. The application realizes intelligent linkage and collaborative optimization of coal mine safety governance, solid waste resource utilization and carbon resource management.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computers, and in particular to a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resource utilization. BACKGROUND

[0002] Traditional coal mine monitoring technology mainly relies on grouting, nitrogen injection, and spraying of blocking agents. These methods often consume a large amount of fresh materials such as cement, nitrogen, or chemical agents, which not only has high cost, but also fails to effectively utilize a large amount of solid waste such as coal gangue and fly ash produced by coal mines. Long-term stacking of these solid wastes occupies land, and poses environmental and safety risks such as spontaneous combustion, dust emission, and leaching pollution, forming a contradictory situation of consuming resources to control accidents and accumulating waste to create hidden dangers. How to convert solid waste into effective monitoring materials to control disasters is a long-standing technical problem in the field of mine safety and environmental protection.

[0003] Under the background of increasing importance of carbon emission management, the carbon sink potential of coal mine solid waste resource utilization and monitoring activities has not been systematically developed and quantified. In the prior art, solid waste disposal usually only focuses on its safety and stabilization, and does not include the avoided carbon emissions of the long-term storage of flammable materials by resource products such as monitoring materials in the accounting system; at the same time, the carbon emissions of monitoring operations themselves also lack fine management. This leads to a lack of an important technical link in the development of carbon sink resources in the implementation of emission reduction responsibilities, and the organic linkage of safety production and carbon resource management cannot be achieved.

[0004] At present, coal mine safety monitoring, solid waste management, and carbon resource accounting are independent systems, and the information island phenomenon is serious. There is a lack of a comprehensive management method that can real-time perceive accident risks, dynamically plan solid waste resource utilization paths, and simultaneously quantitatively evaluate the carbon benefits of the whole process. This fragmented state makes it difficult for decision-makers to consider safety, environmental protection, and economic optimization simultaneously in emergency response, and restricts the coordinated improvement of mine greenness, low carbon, and safety level. SUMMARY

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0006] According to the first aspect of the present application, a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resource utilization is claimed, comprising:

[0007] S1: establishing and maintaining a solid waste-accident material characteristic database, storing physicochemical characteristic data of coal mine solid waste and corresponding performance parameters of monitoring materials that can be processed, and acquiring real-time underground environment monitoring data of a target coal mine through a first data interface;

[0008] S2: Based on the real-time acquired underground environment monitoring data, calculate the accident risk index through the first analysis module, and determine the monitoring and detection level of the target coal mine according to the preset first risk threshold;

[0009] S3: When the monitoring and detection level reaches or exceeds the preset level that requires active measures, trigger the solid waste resource disposal scheme generation process, generate solid waste resource disposal instruction set based on the solid waste-accident material characteristic database and combined with the inventory data and location information of solid waste that can be immediately utilized in the target coal mine;

[0010] S4: Through the second data interface, the generated solid waste resource disposal instruction set is issued to the corresponding solid waste collection unit, material conveying unit and material processing unit, and the execution state feedback from each unit is received to coordinate the on-site preparation and preparation of monitoring materials;

[0011] S5: Start the carbon sink resource accounting process, according to the solid waste utilization amount, processing energy consumption data and the predicted sequestration stability parameters of the prepared target monitoring materials in the instruction set, call the built-in carbon measurement model, calculate the net carbon sink equivalent generated in the whole life cycle of this solid waste resource disposal and subsequent accident material application;

[0012] S6: Generate a comprehensive management report, integrate the current monitoring and detection level, the triggered or executed solid waste resource disposal scheme summary, the execution state of each unit, and the estimated net carbon sink equivalent generated by this disposal action.

[0013] Further, it also includes:

[0014] The underground environment monitoring data of S1 includes temperature data, gas component concentration data and ventilation state data;

[0015] The first analysis module of S2 contains a multi-parameter coupled state discrimination logic, which makes accident risk judgment based on the nonlinear relationship between temperature change trend, oxygen consumption rate and marker gas yield;

[0016] The solid waste resource disposal instruction set of S3 specifies the type, quantity, conveying path of the selected solid waste, and the physical or chemical treatment process parameters required for processing it into target monitoring materials;

[0017] The calculation logic of the carbon measurement model of S5 considers the potential greenhouse gas emission baseline of solid waste in the natural stacking state, the carbon emission offset of the processing process, and the carbon emission avoided by the sequestration of accident material combustibles;

[0018] The report of S6 is displayed through a visual interface, and provides interactive options for subsequent action recommendations for operators.

[0019] Further, the establishment and maintenance of the solid waste-incident material characteristic database in step S1 specifically includes:

[0020] S11: Obtain the basic characteristic data of various typical solid wastes in coal mines through laboratory analysis or by receiving data from third-party authentication; the basic characteristic data includes chemical composition, particle size distribution, moisture content, porosity, combustible content, and spontaneous combustion tendency index;

[0021] S12: For each type of solid waste, determine its conversion into monitoring materials through one or more processing techniques through experimental data or engineering case data; the processing techniques include physical crushing, screening, mixing, pressing, or controlled low-temperature pyrolysis; the performance parameters of the monitoring materials include their covering insulation, heat absorption cooling capacity, chemical reaction inertness, and long-term stability;

[0022] S13: Structurally associate the basic characteristic data of the solid waste with its corresponding processable monitoring material type, required processing parameter chain, and final material performance parameters, and store them in the database in the form of a data table;

[0023] S14: Configure a traceability identifier for each associated record in the database, and record its source, utilization batch, and corresponding carbon sink accounting data when the solid waste is actually used to produce monitoring materials.

[0024] Further, step S2 of calculating at least one incident risk index and determining the monitoring detection level through the first analysis module specifically includes:

[0025] S21: Data normalization and time series alignment, perform data validity check on the original underground environment monitoring data obtained in real time through the first data interface, and eliminate abnormal values that are obviously beyond the physical range; for temperature and gas concentration time series data, synchronize them to the same time reference, and supplement the missing data points due to temporary communication interruption by using linear interpolation or nearest neighbor effective value retention;

[0026] S22: Multi-dimensional feature index extraction, based on the aligned time series data, the first analysis module calculates multiple intermediate feature indexes in parallel, including the weighted moving average of the monitoring point temperature and its first-order difference, the temperature gradient of a specific area, the oxygen concentration drop rate, the production rate of carbon monoxide or ethylene marker gas, and the change trend of different gas concentration ratios;

[0027] S23: Dynamic risk index calculation, the first analysis module has a hierarchical index calculation logic built-in;

[0028] S24: detecting level mapping and determining, setting a plurality of continuous or discrete numerical intervals for the comprehensive accident risk index, each interval corresponding to a preset monitoring detection level;

[0029] S25: detection information generation and pushing, encapsulating the determined detection level, the dominant risk index component, and the key abnormal feature indicator information, generating structured detection information, and pushing it to the main display screen of the coal mine safety monitoring center and the terminal of the relevant responsible person in real time through the internal message bus or external communication interface, and triggering the sound and light reminding device when the detection level reaches the detection and above.

[0030] Further, the triggering of the solid waste resource disposal scheme generation process and the generation of the solid waste resource disposal instruction set in step S3 include:

[0031] S31: demand analysis and constraint condition determination, after receiving the detection level signal that requires taking proactive measures from S2, analyzing the spatial distribution information of the current accident risk, determining the potential target area that needs to be covered with monitoring materials, and estimating the required material coverage volume or mass in the area, reading the current coal mine production scheduling information, and determining the resource availability constraints and safety procedure constraints available for executing solid waste disposal and material processing;

[0032] S32: available solid waste resource evaluation and screening, querying the real-time inventory list of solid waste that can be immediately utilized underground and on the ground from the coal material management subsystem, identifying the associated basic feature data through S14, and preliminarily screening the solid waste that meets the conditions from the list according to the demand and constraints determined in S31;

[0033] S33: multi-scheme simulation and optimization generation, starting the scheme simulation engine for the multiple solid waste and their possible processing process combinations selected, simulating and deducing each candidate scheme based on the built-in rule base and physical experience model, and selecting or sorting to generate multiple alternative disposal schemes based on the preset priority strategy;

[0034] S34: detailed construction of disposal instruction set, decomposing the selected optimal disposal scheme into executable machine instructions or explicit manual operation instructions to form the solid waste resource disposal instruction set;

[0035] S35: executability verification and pre-release of the instruction set, before formally issuing the instruction set, calling the virtual simulation module to perform rapid collision detection and logical verification on the device action sequence, material flow, and energy flow involved in the instruction set, to ensure that there is no device conflict, path deadlock, or violation of safety procedures, and after the verification is passed, the instruction set is marked as ready state, waiting for the coordination execution trigger in step S4.

[0036] Further, the priority strategy of the multi-target evaluation in step S33 is dynamically configurable;

[0037] A human-machine configuration interface is provided to allow authorized users to adjust the weight coefficients of the evaluation dimensions in real time according to the overall safety strategy of the current mine, the carbon sink resource management target, or the equipment operating condition;

[0038] When the weight configuration is changed, the system re-runs the scheme simulation and optimization generation process, and re-evaluates and sorts the candidate schemes according to the new weight coefficients.

[0039] Further, the calculation of the net carbon sink equivalent in step S5 includes:

[0040] S51: Determine the accounting boundary and baseline scenario, define the life cycle accounting boundary of the current solid waste resource utilization and subsequent accident material application, which covers the complete process from the start of solid waste piling at the starting point, through processing, transportation, to being used as monitoring material and playing a long-term sealing role, set the baseline scenario as a comparison, assuming that the solid waste is not utilized for resource utilization, and is naturally piled in the coal mine area, and undergoes slow oxidation, weathering or leaching;

[0041] S52: Calculate the baseline carbon emissions: based on the characteristics of the solid waste and the average data of the local climate environment, the carbon measurement model estimates the total amount of greenhouse gases released by the solid waste in the baseline scenario within the accounting time range, converted into carbon dioxide equivalent;

[0042] S53: Calculate the disposal process carbon emissions, according to the processing parameters included in the disposal instruction set generated in S3 and the known device energy consumption coefficient, calculate the direct and indirect carbon emissions corresponding to the electric energy and fuel consumed in the solid waste processing and material transportation process;

[0043] S54: Calculate the material sealing carbon sink amount: according to the type of the prepared monitoring material and the predicted sealing stability parameters, the carbon measurement model estimates the total amount of carbon substances that can be sealed by the material after being applied to the target area within its effective service life period through physical covering and chemical inertization, which would otherwise participate in combustion or decomposition, converted into carbon dioxide equivalent;

[0044] S55: Net carbon sink equivalent accounting, record all input parameters, intermediate results and final net carbon sink equivalent values of this accounting, and store them in association with this disposal instruction set.

[0045] Further, the average local climate environment data used for estimating the total amount of greenhouse gases that can be naturally released by solid waste in the baseline scenario in step S52 is obtained and updated periodically from an authoritative meteorological database or a mine historical environmental monitoring database through a third data interface, including key parameters affecting the natural weathering and oxidation process of waste.

[0046] Further, the generation of the comprehensive management report and the display through the visual interface in step S6 specifically include:

[0047] S61: Report data integration, real-time data and result data are extracted from the monitoring and detection module, solid waste resource disposal execution tracking module, and carbon sink resource accounting module, and filled according to the preset report template; the core content of the report includes: the current underground regional accident risk heat map, the detailed information of the active detection point, the name and progress bar of the solid waste resource disposal scheme being executed or having been completed, the running status indicator light of the key equipment, and the value and trend chart of the net carbon sink equivalent this time / cumulative;

[0048] S62: The integrated data is rendered to the main display screen of the monitoring center using a graphical engine, and the interface is divided into multiple linked view areas, including a mine roadway plan view superimposed with risk and disposal status view, a dynamic diagram of solid waste material flow and energy flow, a San diagram or flowchart of carbon sink accounting process, and a dashboard of key indicators;

[0049] S63: Interactive controls are provided at preset positions in the visual interface, including a dialog box for manually confirming or adjusting the detection level, a button for selecting different solid waste disposal schemes from the alternative scheme list, a link for viewing detailed carbon sink accounting details of any historical disposal event, and an export button for exporting the current report to a standard format document. The operator interacts with these controls through touch or mouse devices, and the operation instructions are received by the system and trigger the corresponding backend processing flow.

[0050] Further, the link for viewing detailed carbon sink accounting details of any historical disposal event in step S63, when triggered, will retrieve the complete data package of the historical event from the special storage area, and display the complete calculation process of the carbon metering model, the source and value of all input parameters, and the third-party audit status identifier of the final accounting result in a new window or floating layer;

[0051] The method further includes a background learning and optimization mechanism independent of the real-time monitoring process, which periodically archives all completed monitoring and detection events, the executed solid waste resource disposal scheme and its actual effect feedback, and the final carbon sink accounting result to the case library;

[0052] The system administrator or field expert carries out multi-dimensional query and statistical analysis on the case library through an independent analysis platform, to evaluate the effectiveness rules of different solid wastes for different fire risk types, and to manually review and directionally optimize and update the associated parameters of the solid waste-accident material characteristic database in step S1, the state discrimination logic of the first analysis module in step S2, or the rule base and model of the scheme simulation engine in step S3.

[0053] The application discloses a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resourceization, which dynamically determines the accident risk detection level by real-time monitoring of underground environment data and multi-parameter coupling analysis. When the detection level reaches the threshold value, the solid waste resourceization disposal scheme generation process is automatically triggered, and detailed disposal instruction sets for converting specific solid waste into target monitoring materials are planned and generated based on the solid waste characteristic database and real-time inventory information. While coordinating the execution of instructions, preparation and delivery of accident materials by the field unit, the system starts the carbon sink resource accounting process in parallel, calculates the net carbon sink equivalent generated by solid waste utilization, avoidance of natural emission and material storage effect based on life cycle analysis, integrates monitoring status, disposal execution progress and carbon sink benefits, generates a comprehensive management report and displays it through a visual interface. The application realizes intelligent linkage and collaborative optimization of coal mine safety governance, solid waste resourceization and carbon resource management. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 A work flow chart of a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resourceization as claimed in the embodiments of the application;

[0055] Figure 2 A second work flow chart of a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resourceization as claimed in the embodiments of the application;

[0056] Figure 3 A third work flow chart of a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resourceization as claimed in the embodiments of the application. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the application.

[0058] The terms first, second, third, etc. in the present application are only used for descriptive purposes and cannot be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, the features defined with first, second, third, etc. can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of multiple is at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications such as upper, lower, left, right, front, back, etc. in the embodiments of the present application are only used to explain the relative positional relationship, movement condition, etc. between components in a certain posture, such as shown in the drawings, and if the certain posture changes, the directional indications also change accordingly. In addition, the terms include and have as well as any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units not listed, or optionally also includes other steps or units inherent to the process, method, product or device.

[0059] Reference herein to an embodiment means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood that the embodiments described herein are capable of combination with other embodiments.

[0060] According to the first embodiment of the present application, with reference to Figure 1 , the present application claims a coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resourceization, comprising:

[0061] S1: Establish and maintain a solid waste-accident material characteristic database, store the physicochemical characteristic data of coal mine solid waste and the performance parameters of the corresponding processable monitoring materials, and obtain the underground environment monitoring data of the target coal mine in real time through a first data interface;

[0062] S2: Based on the real-time obtained underground environment monitoring data, calculate the accident risk index through a first analysis module, and determine the monitoring detection level of the target coal mine according to a preset first risk threshold;

[0063] S3: When the monitoring detection level reaches or exceeds the preset level that requires active measures, trigger a solid waste resourceization disposal scheme generation process, generate a solid waste resourceization disposal instruction set according to the solid waste-accident material characteristic database and in combination with the inventory data and location information of the solid waste that can be immediately utilized in the target coal mine;

[0064] S4: Distribute the generated solid waste resource disposal instruction set to the corresponding solid waste collection unit, material conveying unit and material processing unit through the second data interface, and receive execution status feedback from each unit to coordinate the completion of on-site preparation and preparation of monitoring materials;

[0065] S5: Start the carbon sink resource accounting process, and according to the solid waste utilization amount, processing energy consumption data and predicted sequestration stability parameters of the prepared target monitoring material in the instruction set, call the built-in carbon measurement model to calculate the net carbon sink equivalent generated in the whole life cycle of the solid waste resource disposal and subsequent accident material application;

[0066] S6: Generate a comprehensive management report, integrating the current monitoring and detection level, a summary of the solid waste resource disposal scheme triggered or executed, the execution status of each unit, and the net carbon sink equivalent generated by the current disposal action.

[0067] Further, it also includes:

[0068] The downhole environment monitoring data of S1 includes temperature data, gas component concentration data and ventilation state data;

[0069] The first analysis module of S2 contains a multi-parameter coupled state discrimination logic, which makes accident risk judgment based on the nonlinear relationship between temperature change trend, oxygen consumption rate and marker gas yield;

[0070] The solid waste resource disposal instruction set of S3 specifies the type, quantity, conveying path of the selected solid waste, and the physical or chemical treatment process parameters required for processing it into target monitoring materials;

[0071] The calculation logic of the carbon measurement model of S5 considers the potential greenhouse gas emission baseline of the natural stacking state of solid waste, the carbon emission offset of the processing process, and the carbon emission avoided by the sequestration of combustible materials of accident materials;

[0072] The report of S6 is displayed through a visual interface, and provides an interactive option for the operator to provide subsequent action suggestions.

[0073] In this embodiment, a typical underground mine in a certain area is taken as the application scenario, and the specific implementation process of the coal mine monitoring and carbon sink resource comprehensive management method based on solid waste resourceization is described in detail

[0074] The mine has deployed a complete downhole environment monitoring sensor network, an intelligent material management system, and a semi-automatic solid waste processing station that can receive central instructions. This embodiment will strictly follow the steps and logic defined in claims 1-10 and describe them one by one.

[0075] The coal mine computing center deploys a computer system that executes the method. After the system is started, it first performs initialization and loads the solid waste-accident material characteristic database. The system connects with the mine safety monitoring platform through a dedicated first data interface using the OPC UA protocol, and obtains real-time data streams from temperature sensors, gas chromatography analyzers, and ventilation fan state sensors in key areas such as goaf and return airway, i.e., underground environment monitoring data, including point temperatures, oxygen, carbon monoxide, and ethylene concentrations, as well as roadway air volume and speed.

[0076] The first analysis module within the system continuously runs calculations on incoming monitoring data streams. When the module analyzes that the temperature in a certain area of the goaf is continuously rising, accompanied by a trend of accelerated growth in carbon monoxide concentration and abnormal decline in oxygen concentration, according to its built-in multi-parameter coupled state discrimination logic, the logic considers that the simultaneous rapid growth of temperature and carbon monoxide and significant oxygen consumption are strong signals of the incubation of open fire, and calculates a comprehensive accident risk index. The index quickly exceeds the first risk threshold of the system's preset attention level, reaching the detection level.

[0077] After reaching the detection level, the system automatically triggers the solid waste resourceization disposal scheme generation process. After the process is started, the system first queries the database to determine that the main solid waste available for use in the mine is washed and sorted gangue and fly ash. Then, the system accesses the material management system through the second data interface to obtain sufficient inventory of washed and sorted gangue in the current underground transfer warehouse and its precise positioning. The system generates a solid waste resourceization disposal instruction set in combination with the location of the accident risk area, the performance requirements of the required accident materials, and the need for coverage and inerting. The instruction set clearly specifies: a certain number of tons of washed and sorted gangue from a specific storage position; transport it to the modularized crushing-mixing processing station underground through the pre-set gangue conveying roadway; the processing instruction is to crush to the target particle size distribution interval and mix with a pre-set proportion of retardant solution to prepare inert slurry.

[0078] At the same time of generating the instruction set, the system starts the carbon sink resource accounting process. The system calls the built-in carbon metering model, which starts calculating the net carbon sink equivalent of this action according to the amount of gangue used in the instruction set, the estimated energy consumption of crushing and mixing, and the storage stability of the prepared slurry in the goaf. The calculation logic of the model covers the methane emission baseline that may be generated by natural piling of gangue, the carbon emissions corresponding to the processing energy consumption, and the huge carbon emissions avoided by preventing coal spontaneous combustion after slurry coverage.

[0079] Finally, the system generates a comprehensive management report and displays it on the visual interface of the safety monitoring center. The report area clearly shows the current detection state, the preparation scheme of the gangue-based retardant slurry being generated, the progress bar of the material transportation status, and the preliminary estimated carbon sink benefit value is positive. The interface sidebar provides interactive options such as confirmation of execution and viewing of alternative schemes for the dispatcher to make decisions.

[0080] Further, referring to Figure 2 , the establishment and maintenance of the solid waste-incident material characteristic database in step S1 specifically includes:

[0081] S11: Obtain the basic characteristic data of a plurality of typical solid wastes in coal mines through laboratory analysis or by receiving data from third-party authentication; the basic characteristic data includes chemical composition, particle size distribution, moisture content, porosity, combustible content, and spontaneous combustion tendency index;

[0082] S12: For each type of solid waste, determine the processing technology by which it can be converted into a monitoring material through experimental data or engineering case data; the processing technology includes physical crushing, screening, mixing, pressing, or controlled low-temperature pyrolysis; the performance parameters of the monitoring material include its covering insulation, heat absorption and cooling capacity, chemical reaction inertness, and long-term stability;

[0083] S13: Structurally associate the basic characteristic data of the solid waste with the corresponding processing material type, required processing technology parameter chain, and final material performance parameters, and store them in the database in the form of a data table;

[0084] S14: Configure a traceability identifier for each associated record in the database, and record the source, utilization batch, and corresponding carbon sink accounting data when the solid waste is actually used to produce monitoring materials.

[0085] In this embodiment, at the initial stage of system deployment, the technical team conducted a large amount of basic work for the establishment of the solid waste-incident material characteristic database. First, S11, they collected representative samples of typical solid wastes in coal mines from the gangue dump and coal washing plant, including washing gangue, coal slime, fly ash, and boiler slag. In the laboratory, these samples were subjected to comprehensive basic characteristic data analysis: X-ray fluorescence spectrometer was used to analyze chemical composition such as SiO2, Al2O3, and fixed carbon content; laser particle size analyzer was used to determine particle size distribution; moisture content was determined by drying and weighing method; porosity was determined by mercury porosimeter; and spontaneous combustion tendency index was tested by special experimental device.

[0086] Subsequently S12, for each kind of waste, study and test its feasibility of conversion into monitoring material. For example, it is found that washing and sorting gangue can be used as inert covering material with high specific heat capacity after simple crushing and screening; if it is further ground and mixed with fly ash, a small amount of cement and inhibitor solution, a composite colloidal slurry with good fluidity and coagulation can be prepared, which has covering and insulating properties and chemical reaction inertness. Fly ash has been verified as a high-quality filling skeleton material, and its micro-bead shape gives the material good heat absorption and cooling capacity. The processing parameters required for each conversion path, such as the target particle size of crushing, the mixing intensity and time, and the ratio of gelation and solidification, are all recorded in detail.

[0087] Then S13, the technical personnel structure the above data. In the database, a solid waste source table, a processing technology table and a material performance table are created. The solid washing and sorting gangue record is associated to the crushing-mixing process through the process number, and then to the gangue-based inhibitor slurry material record and a series of performance parameter values of the material. These association relationships enable the system to quickly perform reverse lookup to find solid waste according to demand and forward deduction to predict material performance according to solid waste.

[0088] Finally S14, for the purpose of strengthening management, each solid waste-process-material association record is assigned a unique traceability identification code QR-Tag. When a batch of gangue is finally used for production underground, the system will record the identification code of the batch of gangue, the consumption, and the slurry batch number produced, and use these information as the starting point for subsequent carbon sink accounting, ensuring the whole process traceability from waste to carbon sink resources.

[0089] Further, with reference to Figure 3 , the step S2 of calculating at least one accident risk index and determining the monitoring detection level by the first analysis module specifically comprises:

[0090] S21: data normalization and time series alignment, the original downhole environment monitoring data acquired in real time through the first data interface is subjected to data validity check, and abnormal values obviously beyond the physical range are removed; for temperature and gas concentration time series data, they are unified and synchronized to the same time reference, and the missing data points due to temporary communication interruption are supplemented by linear interpolation or nearest neighbor effective value retention;

[0091] S22: multi-dimensional feature index extraction, based on the aligned time series data, the first analysis module calculates a plurality of intermediate feature indexes in parallel, including the weighted moving average value of the monitoring point temperature and its first order difference, the temperature gradient of the specific area, the oxygen concentration drop rate, the production rate of carbon monoxide or ethylene marker gas, and the change trend of different gas concentration ratios;

[0092] S23: Dynamic risk index calculation, the first analysis module is built-in hierarchical index calculation logic;

[0093] S24: Detection level mapping and determination, set several continuous or discrete numerical intervals for the comprehensive accident risk index, each interval corresponds to a preset monitoring detection level;

[0094] S25: Detection information generation and pushing, encapsulate the determined detection level, dominant risk index component, and key abnormal feature index information, generate structured detection information, and push it to the main display screen of the coal mine safety monitoring center and the terminal of the relevant person in charge through the internal message bus or external communication interface in real time, and when the detection level reaches the detection and above, trigger the sound and light reminding device.

[0095] In this embodiment, the system continuously performs risk calculation and detection determination. First S21, the first data interface transmits a large amount of raw monitoring data every second. The system performs data validity check, for example, finds that a temperature sensor returns an abnormally high value far exceeding the coal ignition point, the system judges that the sensor is transient fault according to the time sequence data before and after it, and removes it. For individual data points lost due to network delay, the system uses linear interpolation method to supplement with the previous and next valid data points to ensure the alignment of all monitoring point data time series.

[0096] Then S22, the first analysis module extracts multi-dimensional feature indexes from the aligned pure data stream. It does not simply read the instantaneous value, but calculates a series of indexes that can reflect the dynamic process: calculate the weighted moving average of the temperature of the goaf upper corner monitoring point in the past one hour, and calculate the first order difference to get the temperature rise rate; analyze the data of multiple temperature measuring points buried in the whole goaf, calculate the spatial temperature gradient; calculate the minute level decline rate of oxygen concentration in real time; do sliding processing on carbon monoxide concentration data to get its generation rate; at the same time, continuously calculate the concentration ratio of carbon monoxide and carbon dioxide CO / CO2, and observe its change trend.

[0097] Then the core dynamic risk index calculation S23 is entered. The logic built into the module is divided into two layers. The first layer, the basic risk sub-index calculation: for example, when the temperature rise rate exceeds the low risk threshold but is below the high risk threshold, a medium score is given; when the CO generation rate also exceeds its corresponding threshold, another score is given. The second layer, the coupling calculation layer: the logic here is more critical. The system's preset correlation rules indicate that if the high temperature rise rate and the high CO generation rate occur simultaneously, but the oxygen drop rate is very low, the coupling factor will determine that this may just be device heating or shallow oxidation, which will not significantly amplify the risk index. Conversely, if the medium temperature rise rate, the continuous negative oxygen drop rate, and the appearance of trace amounts of ethylene gas are monitored, the coupling calculation layer will output a high-risk coupling factor pointing to deep smoldering according to the rule that oxygen consumption accompanied by the appearance of olefins is a characteristic of deep smoldering. Finally, the system will combine the basic sub-index with this coupling factor through a conditional judgment matrix. This matrix stipulates that when the coupling factor points to deep smoldering, the overall risk index will be multiplied by an amplification coefficient greater than 1 on the basis of the score, thus generating the final comprehensive accident risk index.

[0098] After S24, the system compares the index with the preset five numerical interval to determine the monitoring detection level. The index calculated this time falls within the interval corresponding to the detection level.

[0099] Immediately after S25, the system generates structured detection information, including: level detection, the main contributing factor being continuous oxygen consumption and the appearance of marker gases, and abnormal area coordinates. This information is pushed to a prominent position on the monitoring center's large screen through the internal message queue, and a short message is automatically sent to the mobile phones of the ventilation department and dispatch room leaders. Since the level is detected, the system triggers the low-frequency buzzer in the monitoring center for sound and light reminders, reminding staff to pay attention.

[0100] Further, the solid waste resourceization disposal scheme generation process and the solid waste resourceization disposal instruction set generated in step S3 include:

[0101] S31: demand analysis and constraint condition determination, after receiving the detection level signal that requires taking proactive measures from S2, analyze the spatial distribution information of the current accident risk, determine the potential target area that needs to be covered with monitoring materials, estimate the required material coverage volume or mass in the area, read the current coal mine production scheduling information, and determine the resource availability constraints and safety procedure constraints available for executing solid waste disposal and material processing;

[0102] S32: available solid waste resource evaluation and screening, ask the coal material management subsystem to obtain the real-time inventory list of solid waste that can be immediately utilized underground and on the ground, identify the associated basic characteristic data through S14, and preliminarily screen out solid waste that meets the conditions from the list according to the demand and constraints determined in S31;

[0103] S33: Multi-solution simulation and optimization generation, for the screened multiple solid waste and its possible processing process combination, start the solution simulation engine, based on the built-in rule base and physical experience model, simulate and deduce each candidate solution, based on the preset priority strategy, select or sort multiple alternative disposal solutions;

[0104] S34: Detailed construction of disposal instruction set, for the selected optimal disposal solution, decompose it into executable machine instructions or explicit manual operation instructions, form the solid waste resource disposal instruction set;

[0105] S35: Executability verification and pre-release of instruction set, before formally issuing the instruction set, call the virtual simulation module to quickly detect collisions and logically verify the device action sequence, material flow and energy flow involved in the instruction set, to ensure that there is no device conflict, path deadlock or violation of safety regulations, after verification, the instruction set is marked as ready state, waiting for the coordination execution trigger of step S4.

[0106] In this embodiment, upon receiving the detection signal, the system immediately enters the solid waste resource disposal solution generation process. The first step S31 is demand analysis and constraint condition determination. The system calls the risk space distribution map and confirms that the risk core is located in the deep part of the 12507 goaf. According to the volume of the goaf and the accident engineering experience, it is estimated that a certain volume of slurry with penetration and wrapping capacity needs to be prepared. At the same time, read the production schedule and confirm that the battery locomotive currently available for transporting materials is in idle state, and one of the two mixers in the processing station is available. The safety regulations require that the transportation in this area be carried out by the maintenance team, which constitutes a time window constraint.

[0107] The second step S32 is to evaluate and screen the available solid waste resources. It queries the material management system to obtain the real-time list: there is a large amount of washed gangue in the No. 1 underground warehouse, and there is a part of fly ash in the No. 2 warehouse. The system preliminarily selects washed gangue as the main raw material according to the demand for slurry and the constraint of sufficient gangue quantity and closer distance to the processing station, and considers adding a small amount of fly ash to improve the performance of the slurry.

[0108] The third step S33 is the core multi-solution simulation and optimization generation. The system starts the solution simulation engine. The engine simulates and deduces two candidate solutions based on the rule base such as the fly ash addition ratio should not exceed 20% when preparing the slurry, so as not to affect the liquidity and physical experience model such as estimating the energy consumption and time consumption of the crusher according to the hardness of the gangue and the target particle size.

[0109] Scheme A: pure gangue is crushed and mixed with a solution of retardant.

[0110] Scheme B: gangue is mixed with a small amount of fly ash and crushed, and then mixed with a solution of the inhibitor. The content includes: Scheme B needs additional transportation steps due to the addition of fly ash, so the total time is slightly longer; but the prepared slurry of scheme B is estimated to have better performance stability and better wrapping performance; from the carbon sink potential, scheme B utilizes two kinds of solid waste and avoids more baseline emissions. The system conducts multi-objective evaluation on the two schemes. According to the current default accident efficiency reliability priority strategy, scheme B scores higher in the accident efficiency dimension and is selected as the optimal scheme by the system.

[0111] In the fourth step S34, the system constructs the disposal instruction set in detail. It decomposes scheme B into:

[0112] Send instructions to the automatic gates of No. 1 and No. 2 warehouses: release the specified tonnage of gangue and fly ash to the feeder respectively.

[0113] Send instructions to the belt control system: plan the start timing and speed of the two belts, and transport the two materials to the crusher inlet according to the proportion.

[0114] Send instructions to the crusher control system: set the target discharge particle size distribution parameters.

[0115] Send instructions to the mixing and stirring station: set the mixing sequence to dry mix and crush the material first, then inject the solution containing the inhibitor, and set the stirring speed and duration.

[0116] Finally S35, the system calls the virtual simulation module to check the executability of the instruction set. The simulation found that if the two belts are started at the same time according to the original plan, the materials will be collected at the crusher inlet and may cause blockage. Therefore, the system automatically adjusts the instructions and sets a time difference for the two belts to ensure that the materials enter alternately. After the check is passed, the state of the instruction set changes to ready.

[0117] Further, the priority strategy of the multi-objective evaluation described in step S33 is dynamically configurable;

[0118] A human-computer configuration interface is provided to allow authorized users to adjust the weight coefficients of the evaluation dimensions in real time according to the overall safety policy of the current mine, the carbon sink resource management target, or the equipment operating condition;

[0119] When the weight configuration changes, the system re-runs the scheme simulation and optimization generation process, and re-evaluates and sorts the candidate schemes according to the new weight coefficients.

[0120] In this embodiment, during the scheme generation process, the dispatcher noticed through the human-computer configuration interface on the monitoring console that the current strategy is incident efficiency first. However, combined with the actual situation underground, he judged that the fire hazard development speed may be relatively slow, and there is a clear carbon sink target assessment task on the mine this month. Therefore, he adjusted the weight coefficient of the evaluation dimension in real time, and increased the weight of carbon sink potential from 0.2 to 0.5, and correspondingly reduced the weight of timeliness.

[0121] The system interface prompts that the weight has been updated. The system immediately re-runs the scheme simulation and optimization process. Under the new weight system, scheme B uses gangue and fly ash because of its higher carbon sink potential, and the advantage is further expanded compared with scheme A, the score gap is widened, thereby further consolidating its position as the preferred scheme. This reflects the dynamic configurability and flexibility of the system strategy.

[0122] Further, the built-in carbon accounting model is called in step S5 to calculate the net carbon sink equivalent, specifically including:

[0123] S51: Determine the accounting boundary and baseline scenario, define the life cycle accounting boundary of this solid waste resource utilization and subsequent application of accident materials, which covers the complete process from the start of solid waste storage at the starting point, through processing, transportation, to being used as monitoring materials and playing a long-term sealing role, and set the baseline scenario as a comparison, assuming that the solid waste is not resource utilized and is naturally piled up in the coal mine area, and slowly oxidizes, weathering or leaching;

[0124] S52: Calculate the baseline carbon emissions: based on the characteristics of the solid waste and the average data of the local climate and environment, the carbon accounting model estimates the total amount of greenhouse gases naturally released by the solid waste within the accounting time range under the baseline scenario, converted into carbon dioxide equivalent;

[0125] S53: Calculate the carbon emissions during disposal, according to the processing parameters included in the disposal instruction set generated in S3 and the known equipment energy consumption coefficient, calculate the direct and indirect carbon emissions corresponding to the electric energy and fuel consumed during the solid waste processing and material transportation process;

[0126] S54: Calculate the material sealing carbon sink amount: according to the type of the prepared monitoring material and the predicted sealing stability parameters, the carbon accounting model estimates the total amount of carbon substances that can be sealed by the material through physical covering and chemical inertization during its effective life period after being applied to the target area, which would otherwise participate in combustion or decomposition, converted into carbon dioxide equivalent;

[0127] S55: Net carbon sink equivalent accounting, record all input parameters, intermediate results and final net carbon sink equivalent value of this accounting, and store it in association with this disposal instruction set.

[0128] wherein, in this embodiment, a carbon sink resource accounting procedure is initiated in parallel with the generation of disposal instructions.

[0129] First S51, determine accounting boundary and baseline scenario. The system defines the accounting boundary for this instance as: from the point of departure of the gangue and fly ash from the underground storage point, through transportation, crushing, mixing, preparation into slurry, pumping to the 12507 goaf injection, and the whole process of storing the coal body in the region for its effective period, such as 20 years. The baseline scenario is set as: these gangue and fly ash are not utilized, transported to the ground gangue mountain for stacking, and undergo weathering, rainfall leaching and possible slow oxidation under natural conditions.

[0130] Next S52, calculate baseline carbon emissions. The carbon measurement model fixes the carbon content, sulfur content, and inorganic carbonate content of the gangue and fly ash used according to the laboratory analysis data, combines the local average temperature and precipitation data for many years, and uses the internationally recognized emission estimation method for waste disposal sites to calculate the total amount of greenhouse gases such as methane and carbon dioxide that may be released by this batch of solid waste under the baseline scenario for 20 years, and convert it into carbon dioxide equivalent. This part is the emissions avoided by resource utilization.

[0131] Then S53, calculate disposal process carbon emissions. The system accurately calculates the carbon emissions corresponding to the electric energy consumed by the material processing and transportation according to the process parameters in the instruction set: crusher power, running time, mixer power, running time, conveying belt energy consumption, and carbon emission factor of the mine area power grid.

[0132] After S54, calculate material sequestration carbon sink amount. The model estimates the total amount of combustible carbon in the coal body that can be covered, infiltrated and eventually sequestered by the prepared gangue-fly ash-based blocking slurry through physical and chemical action, and converts it into carbon dioxide equivalent.

[0133] Finally S55, calculate net carbon sink equivalent. Perform the formula calculation: net carbon sink equivalent = avoided baseline emissions + material sequestration carbon sink amount - disposal process carbon emissions. The calculation result shows that the net value is positive, indicating that this action has produced a net carbon sink benefit. All input parameters such as solid waste composition, processing energy consumption, intermediate calculation results and final net value are stored in the archive of this disposal task.

[0134] Further, the average data of the local climate and environment relied on in step S52 to estimate the total amount of greenhouse gases that may be naturally released by solid waste under the baseline scenario is obtained and updated periodically from authoritative meteorological databases or mine historical environmental monitoring databases through a third data interface, including key parameters affecting the natural weathering and oxidation process of waste.

[0135] Among them, in this embodiment, the average data of the local climate environment relied on by the baseline emission estimated in step S5.2 is not fixed. The third data interface of the system automatically obtains the updated statistical data of the average temperature, precipitation, humidity and the like of the mining area in the past years from the public data service authorized by the China Meteorological Administration every quarter. When a new data set is loaded, the baseline emission estimation submodule in the carbon measurement model will automatically recalibrate with new parameters. For example, after obtaining new data showing that the average precipitation in the summer of the region has increased in recent years, the model will correspondingly increase the correction coefficient that may be caused by the increase in rainfall, which may cause more dissolved inorganic carbon to be produced by the leaching of gangue dumps, thereby indirectly affecting the greenhouse gas balance, so that the baseline emission estimation is more in line with the actual situation.

[0136] Further, the generation of the comprehensive management report and the display through the visual interface in step S6 specifically include:

[0137] S61: report data integration, extracting real-time data and result data from the monitoring and detection module, solid waste resource disposal execution tracking module, and carbon sink resource accounting module, and filling in the preset report template; the core content of the report includes: the current underground regional accident risk heat map, detailed information of active detection points, the names and progress bars of solid waste resource disposal schemes being executed or completed, the running status indicator light of key equipment, and the value and trend chart of the net carbon sink equivalent this time / cumulative;

[0138] S62: render the integrated data to the main display screen of the monitoring center using a graphical engine, divide the interface into multiple linked view areas, including a mine tunnel plan view superimposed with risk and disposal state view, a dynamic diagram of solid waste material flow and energy flow, a Sankey diagram or flowchart of carbon sink accounting process, and an instrument panel of key indicators;

[0139] S63: provide interactive controls at preset positions on the visual interface, including dialog boxes for manually confirming or adjusting detection levels, buttons for selecting different solid waste disposal schemes from a list of alternative schemes, links for viewing detailed carbon sink accounting details of any historical disposal event, and export buttons for one-click exporting of the current report as a standard format document. The operator interacts with these controls through touch or mouse devices, and the operation instructions are received by the system and trigger the corresponding back-end processing process.

[0140] In this embodiment, the system enters the report generation and presentation phase. First S61 performs report data integration. The system pulls data from various modules: from the detection module, it obtains the status of the goaf detection and the risk heat map; from the disposal module, it obtains the status of the execution of scheme B, and the material transportation progress is 60%; from the carbon accounting module, it obtains the preliminary estimated net carbon sink equivalent, which is positive. These data are filled into a structured report template.

[0141] Then S62, the visualization interface rendering engine starts working. The main display screen is divided into four linked view areas:

[0142] The main view area displays the mine roadway three-dimensional model, and the goaf is rendered as an orange flashing representation of detection. The material flow from the storage point to the processing station is displayed as an animated dashed line, and the current progress is clearly visible.

[0143] The process view area displays the solid waste → crushing → mixing → slurry material conversion process in the form of a dynamic schematic diagram, and the key equipment icons have green running or gray standby status indicator lights.

[0144] The carbon sink view area visually displays the carbon flow with a Sankey diagram: the wide inflow arrow on the left represents the avoided baseline emissions and material sequestration carbon sinks, and the thinner outflow arrow on the right represents the disposal process emissions, which eventually flow into a net carbon sink pool shown as a positive value.

[0145] The indicator view area displays the real-time risk index, detection level, and this estimated carbon sink value in the form of a dashboard.

[0146] Finally S63, interactive controls are provided at appropriate locations on the interface. The dispatcher can see a button labeled with the alternative scheme, and after clicking, he can view the brief information of scheme A which has been simulated before. There is also a link to carbon accounting details. The bottom of the interface has buttons such as confirm execution, pause, and export report, which are used by the dispatcher to make the final decision and record.

[0147] Further, the link in step S63 for viewing the detailed carbon sink accounting details of any historical disposal event, when triggered, will retrieve the complete data package of the historical event from the special storage area, and display its full step-by-step calculation process of the carbon metering model, the source and value of all input parameters, and the third-party audit status identifier of the final accounting result in a new window or floating layer;

[0148] The method further includes a background learning and optimization mechanism independent of the real-time monitoring process, which periodically archives all completed monitoring and detection events, the executed solid waste resource disposal scheme and its actual effect feedback, and the final carbon sink accounting results to the case library;

[0149] The system administrator or domain expert conducts multi-dimensional query and statistical analysis on the case library through an independent analysis platform, to evaluate the effectiveness of different solid wastes for different fire risk types, and accordingly manually reviews and optimizes the associated parameters of the solid waste-accident material characteristic database in step S1, the state discrimination logic of the first analysis module in step S2, or the rule base and model of the scheme simulation engine in step S3.

[0150] In this embodiment, the dispatcher is interested in the estimated carbon sink benefits of this time, and clicks the carbon accounting details link. After receiving the interaction instruction, the system immediately retrieves the complete carbon accounting data package associated with the ongoing disposal instruction set from the special storage area. The system displays the entire step-by-step calculation process in a clear step-by-step manner in a new pop-up window:

[0151] The first step shows the composition analysis report screenshot data source of the gangue and fly ash used.

[0152] The second step shows the latest climate parameter values obtained from the meteorological database.

[0153] The third step lists the formulas, parameters, and intermediate values used in each step of the baseline emission calculation in detail.

[0154] The fourth step shows the real-time energy consumption data read from the device control system.

[0155] The fifth step shows the material sequestration model output derived from the slurry formulation. At the final result, there is a third-party review status identifier, currently showing in accounting, pending review, indicating that the result has not been submitted for external verification.

[0156] Corresponding to claim 10, the background learning and optimization mechanism

[0157] The disposal action in this embodiment is successfully implemented, and the accident risk is eliminated. After the incident, the system archives the complete data package of this event, including the detection trigger reason, the details of the implemented scheme B, the actual amount of slurry injection, the effect feedback monitoring point temperature gas recovery normal, and the final reviewed carbon sink accounting report, to the case library.

[0158] A month later, the monitoring expert of the coal mine conducts multi-dimensional query on the case library through the independent analysis platform provided by the system. He filters out all successful cases using slurry as an accident means in the past year for statistical analysis. The analysis finds that under similar geological conditions, the success rate and long-term stability of gangue-fly ash composite slurry are significantly higher than that of pure gangue slurry. Based on this analysis conclusion, the expert manually reviews and optimizes the system through the management background:

[0159] He modified the record of washed gangue in the solid waste-accident material characteristics database, and strengthened the prompt of compounding with fly ash in the recommended process.

[0160] He optimized the rule base of the scenario simulation engine and added a new rule: when dealing with the risk of deep gob combustion, the composite slurry solution is preferred.

[0161] In this way, the system realizes continuous improvement based on actual operation experience, and its future decision recommendations will be more accurate and effective.

[0162] In the several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic, and the division of units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0163] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit. The above is only an embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation using the content of the present application specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

[0164] The specific embodiments of the application are described in detail above, but they are only examples. The present application is not limited to the specific embodiments described above. Any equivalent modification or substitution of the application made by those skilled in the art is also within the scope of the present application. Therefore, equivalent transformations, modifications, improvements, etc. made without departing from the spirit and principle range of the present application should be covered within the scope of the present application.

Claims

1. A method for integrated management of coal mine monitoring and carbon sink resources based on solid waste resource utilization, characterized in that, include: S1: Establish and maintain a solid waste-accident material characteristic database, which stores the physicochemical characteristic data of coal mine solid waste and the performance parameters of the corresponding processable monitoring materials, and obtains the underground environmental monitoring data of the target coal mine in real time through the first data interface; S2: Based on the real-time acquired underground environmental monitoring data, the accident risk index is calculated through the first analysis module, and the monitoring and detection level of the target coal mine is determined according to the preset first risk threshold. S3: When it is determined that the monitoring and detection level reaches or exceeds the preset level that requires active measures, the solid waste resource utilization and disposal plan generation process is triggered. Based on the solid waste-accident material characteristic database, combined with the inventory data and location information of the solid waste that can be used immediately in the target coal mine, a solid waste resource utilization and disposal instruction set is generated. S4: The generated solid waste resource utilization disposal instruction set is sent to the corresponding solid waste collection unit, material conveying unit and material processing unit through the second data interface, and the execution status feedback from each unit is received to coordinate the on-site preparation and pre-delivery of the monitored materials. S5: Initiate the carbon sink resource accounting process. Based on the solid waste utilization, processing energy consumption data, and the expected storage stability parameters of the prepared target monitoring material specified in the instruction set, call the built-in carbon measurement model to calculate the net carbon sink equivalent generated throughout the entire life cycle of this solid waste resource disposal and subsequent accident material application. S6: Generate a comprehensive management report that integrates the current monitoring and detection level, a summary of the solid waste resource utilization and disposal plans that have been triggered or executed, the execution status of each unit, and the estimated net carbon sink equivalent generated by this disposal action.

2. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 1, characterized in that, Also includes: The downhole environmental monitoring data in S1 includes temperature data, gas composition concentration data, and ventilation status data; The first analysis module of S2 includes a multi-parameter coupled state discrimination logic that judges accident risk based on the nonlinear relationship between temperature change trend, oxygen consumption rate and marker gas yield. The solid waste resource utilization disposal instruction set of S3 specifies the type of solid waste selected, the quantity taken, the transportation route, and the physical or chemical treatment process parameters required to process it into target monitoring materials. The calculation logic of the carbon metering model in S5 takes into account the potential greenhouse gas emission baseline under the natural stacking state of solid waste, the carbon emission offset of the processing process, and the carbon emissions avoided by the sealing of combustibles in accidental material storage. The report in S6 is displayed through a visual interface and provides operators with interactive options for suggestions on follow-up actions.

3. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 1, characterized in that, The establishment and maintenance of the solid waste-accident material characteristic database in step S1 specifically includes: S11: Obtain basic characteristic data of various typical coal mine solid wastes through laboratory analysis or by receiving data from third-party certification; the basic characteristic data includes their chemical composition, particle size distribution, moisture content, porosity, combustible content, and spontaneous combustion tendency index. S12: For each of the aforementioned solid wastes, based on experimental data or engineering case data, determine that it can be transformed into a material with monitoring functions through one or more processing techniques; the processing techniques include physical crushing, screening, mixing, pressing, or controlled low-temperature pyrolysis; the performance parameters of the monitoring material include its covering and insulation properties, heat absorption and cooling capacity, chemical inertness, and long-term stability. S13: The basic characteristic data of the solid waste is structurally associated with the corresponding types of monitoring materials that can be processed into, the required processing parameters chain, and the final material performance parameters, and stored in the database in the form of a data table; S14: Configure a traceability identifier for each associated record in the database. When the solid waste is actually used to produce monitoring materials, record its source, utilization batch and corresponding carbon sequestration accounting data based on the identifier.

4. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 1, characterized in that, Step S2, which involves calculating at least one accident risk index and determining the monitoring and detection level through the first analysis module, specifically includes: S21: Data normalization and time series alignment: The raw downhole environmental monitoring data obtained in real time through the first data interface is validated for data validity, and outliers that are significantly beyond the physical range are removed; For temperature and gas concentration time series data, they are uniformly synchronized to the same time base, and data points missing due to brief communication interruptions are supplemented by linear interpolation or nearest neighbor valid value preservation. S22: Multi-dimensional feature index extraction. Based on the aligned time series data, the first analysis module calculates multiple intermediate feature indices in parallel, including the weighted moving average of the temperature at the monitoring point and its first difference, the temperature gradient of a specific area, the rate of decrease of oxygen concentration, the generation rate of carbon monoxide or ethylene characteristic gas, and the changing trend of different gas concentration ratios. S23: Dynamic risk index calculation, the first analysis module has built-in hierarchical index calculation logic; S24: Detection level mapping and judgment, which sets several continuous or discrete numerical ranges for the comprehensive accident risk index, with each range corresponding to a preset monitoring and detection level; S25: Generation and push of detection information. The system encapsulates the determined detection level, the dominant risk index components, and key abnormal characteristic indicators to generate structured detection information. This information is then pushed in real time to the main display screen of the coal mine safety monitoring center and the terminals of relevant personnel through an internal message bus or external communication interface. When the detection level reaches detection or above, an audible and visual reminder device is triggered.

5. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 3, characterized in that, Step S3, which involves triggering the solid waste resource utilization and disposal solution generation process and generating a solid waste resource utilization and disposal instruction set, includes: S31: Demand Analysis and Constraint Determination. Upon receiving a detection level signal from S2 indicating the need for proactive measures, analyze the spatial distribution information of the current accident risk, determine the potential target area where monitoring materials need to be delivered, estimate the required material coverage volume or mass for that area, read the current coal mine production scheduling information, and determine the resource availability constraints and safety procedure constraints that can be used to perform solid waste disposal and material processing. S32: Assessment and screening of available solid waste resources. Inquire with the coal and mineral material management subsystem to obtain a real-time inventory list of solid waste that can be used immediately underground and on the surface. Based on the basic characteristic data identified in S14 and the requirements and constraints determined in S31, initially screen out solid waste that meets the conditions from the list. S33: Multi-scheme simulation and optimization generation. For the selected solid wastes and their possible processing technology combinations, the scheme simulation engine is launched. Based on the built-in rule base and physical experience model, each candidate scheme is simulated and deduced. Based on the preset priority strategy, multiple alternative disposal schemes are selected or sorted to generate. S34: Detailed construction of the disposal instruction set. For the selected optimal disposal scheme, it is decomposed into executable machine instructions or explicit manual operation instructions to form the solid waste resource utilization disposal instruction set. S35: Executability verification and pre-release of the instruction set. Before the instruction set is officially released, the virtual simulation module is called to perform rapid collision detection and logic verification on the equipment action sequence, material flow, and energy flow involved in the instruction set to ensure that there are no equipment conflicts, path deadlocks, or violations of safety procedures. After the verification is passed, the instruction set is marked as ready and waits for the coordinated execution trigger of step S4.

6. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 5, characterized in that, The priority strategy described in step S33 is dynamically configurable; It provides a human-machine configuration interface, allowing authorized users to adjust the weight coefficients of evaluation dimensions in real time based on the overall safety strategy of the mine, carbon sink resource management objectives, or equipment operating status. When the weight configuration changes, the system reruns the scheme simulation and optimization generation process, and re-evaluates and sorts the candidate schemes based on the new weight coefficients.

7. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 1, characterized in that, Step S5, which involves calling the built-in carbon metrology model to calculate the net carbon sink equivalent, specifically includes: S51: Determine the accounting boundary and baseline scenario, define the life cycle accounting boundary for this solid waste resource utilization and subsequent accident material application. The boundary covers the entire process from the solid waste leaving the initial stockpile point, through processing and transportation, to being used as monitoring material and playing a long-term sealing role. Set a baseline scenario for comparison, assuming that the solid waste is not utilized for resource utilization, is naturally stockpiled in the coal mining area, and undergoes slow oxidation, weathering, or leaching. S52: Calculate baseline carbon emissions: Based on the characteristics of the solid waste and local climate and environmental average data, the carbon measurement model estimates the total amount of greenhouse gases naturally released by the solid waste within the accounting time range under the baseline scenario, and converts it into carbon dioxide equivalent. S53: Calculate the carbon emissions of the disposal process. Based on the processing parameters and known equipment energy consumption coefficients contained in the disposal instruction set generated by S3, calculate the direct and indirect carbon emissions corresponding to the electrical energy and fuel consumed in this solid waste processing and material transportation process. S54: Calculate the carbon sequestration capacity of the material: Based on the type of monitoring material prepared and the expected sequestration stability parameters, the carbon metering model estimates the total amount of carbon that the material can sequester during its effective lifespan through physical covering and chemical inertization, which could otherwise participate in combustion or decomposition, after it is deployed in the target area, and converts it into carbon dioxide equivalent. S55: Net carbon sink equivalent calculation, record all input parameters, intermediate results and final net carbon sink equivalent value of this calculation, and store them in association with the disposal instruction set of this time.

8. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 7, characterized in that, The local climate and environmental average data used in step S52 to estimate the total amount of greenhouse gases that solid waste may naturally release under the baseline scenario is obtained and updated regularly from authoritative meteorological databases or mine historical environmental monitoring databases through a third data interface, including key parameters that affect the natural weathering and oxidation process of waste.

9. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 1, characterized in that, Step S6, which involves generating a comprehensive management report and displaying it through a visual interface, specifically includes: S61: Report data integration. Real-time and result data are extracted from the monitoring and detection module, solid waste resource utilization and disposal execution tracking module, and carbon sink resource accounting module, and filled in according to the preset report template. The core content of the report includes: current underground accident risk heat map of each area, detailed information of active detection points, names and progress bars of solid waste resource utilization and disposal plans that are being implemented or completed, operating status indicator lights of key equipment, and the value and trend chart of net carbon sink equivalent for this / cumulative period. S62: The integrated data is rendered onto the main display screen of the monitoring center using a graphical engine. The interface is divided into multiple linked view areas, including a mine roadway plan view overlaid with a risk and disposal status view, a dynamic schematic diagram of solid waste flow and energy flow, a Sankey diagram or flowchart of the carbon sink accounting process, and a dashboard of key indicators. S63: Interactive controls are provided in preset locations on the visualization interface, including dialog boxes for manually confirming or adjusting the detection level, buttons for selecting different solid waste disposal solutions from the alternative solution list, links for viewing detailed carbon sequestration accounting details of any historical disposal event, and export buttons for exporting the current report as a standard format document with one click. Operators interact with these controls through touch or keyboard and mouse devices, and their operation commands are received by the system and trigger the corresponding backend processing flow.

10. The coal mine monitoring and carbon sink resource integrated management method based on solid waste resource utilization according to claim 9, characterized in that, The link in step S63 for viewing detailed carbon sequestration accounting details of any historical disposal event, once triggered, will retrieve the complete data package of the historical event from the special storage area and display the entire step-by-step calculation process of its carbon measurement model, the source and values ​​of all input parameters, and the third-party audit status of the final accounting result in a new window or floating layer. The method also includes a background learning and optimization mechanism independent of the real-time monitoring process, which regularly archives all completed monitoring and detection events, implemented solid waste resource utilization and disposal plans and their actual effects, as well as the final carbon sink accounting results, into the case library. System administrators or domain experts can use an independent analysis platform to perform multi-dimensional queries and statistical analyses on the case library to evaluate the effectiveness of different solid wastes for different types of fire hazards. Based on this, they can manually review and optimize the correlation parameters of the solid waste-accident material characteristic database in step S1, the state discrimination logic of the first analysis module in step S2, or the rule base and model of the scheme simulation engine in step S3.

Images