Method and device for identifying concealed mining face in coal mine

Abstract

The application provides a concealed mining face identification method and device for a coal mine, and relates to the technical field of coal mines. The method comprises the following steps: when the actual production state of the mining face is a non-production state, determining whether there is continuous coal flow based on the coal flow signal on the mining face; when there is continuous coal flow and the coal flow duration exceeds a time threshold, performing explainable factor exclusion; when there is no any explainable factor on the mining face, and the difference between the actual coal quantity transported out of the well and the explainable coal quantity approved for production exceeds a preset coal quantity threshold, the mining face is determined to be a concealed mining face. The progressive judgment of identifying the production state first, then judging the continuous coal flow in the non-production state, excluding the explainable factors, and finally verifying the coal quantity difference can distinguish between legal coal flow and concealed production coal flow, avoid misjudging normal operations such as equipment commissioning and coal bunker coal release as concealed mining faces, accurately identify the characteristics of the excessive coal quantity transported out of the well which cannot be explained in the non-production state, and reduce the false positive rate.

Description

Technical Field

[0001] This application relates to the field of coal mining technology, and in particular to a method and apparatus for identifying concealed mining faces in coal mines. Background Technology

[0002] Hidden mining faces refer to locations where coal mining, tunneling, roadway widening, recovery, or maintenance operations are not accurately reflected in the design, plan, drawings, and approval documents, or are evaded through ledgers, system data, and operational organization to avoid supervision. Once a hidden mining face generates actual output, its coal flow will enter the underground transportation system, directly causing the amount of coal transported out of the mine to exceed the approved production. Such operations usually occur during non-production periods or in non-production areas, seriously disrupting the normal production order of the mine, causing the theft and loss of coal resources, and are highly susceptible to safety accidents such as roof falls, gas leaks, and water inrushes due to a lack of effective supervision, threatening the lives of underground personnel.

[0003] In related technologies, methods for identifying concealed mining faces mainly rely on the operation status of transportation equipment or the verification of production records. When the mining face is in a non-production state such as maintenance or shutdown, the transportation system may still experience short-term coal flow due to reasons such as equipment jogging, release of residual coal from the coal bunker, or cleaning of residual coal. Existing methods are unable to distinguish between such legitimate coal flow and real concealed production coal flow, and are prone to misjudging normal operations in non-production states as concealed mining faces, resulting in a high false alarm rate and an inability to accurately identify the characteristics of concealed mining faces. Summary of the Invention

[0004] This application aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the first aspect of this application proposes a method for identifying concealed mining faces in coal mines, comprising the following steps:

[0006] Determine the actual production status of the mining face, which includes both production status and non-production status; When the actual production state of the mining face is non-production state, the existence of continuous coal flow is determined based on the coal flow signal on the transportation path corresponding to the mining face; When there is a continuous coal flow on the transportation path corresponding to the mining face and the duration of the coal flow exceeds a time threshold, the mining face is excluded from the explanatory factors based on a number of preset explanatory factors. In the absence of any explanatory factors at the mining face, obtain the actual amount of coal transported out of the mine and the approved explanatory amount of coal to be produced at the mining face; When the difference between the actual amount of coal transported out of the well and the approved amount of explanatory coal exceeds a preset coal quantity threshold, the mining face is determined to be a concealed mining face.

[0007] In some embodiments of this application, the explanatory factors include at least one of the following: delayed coal arrival at the working face, release of residual coal in the coal bunker, coal cleaning during maintenance, short-term trial operation, belt scale drift, sensor false alarms, concentrated release after coal blockage at the transfer point, coal bunker relocation, and adjustment of the washing and beneficiation system.

[0008] In some embodiments of this application, when the coal transportation method at the mining face is inclined shaft or main conveyor belt transportation, the actual amount of coal transported out of the shaft is calculated using the following formula: M_out=∫W q_belt(t)dt Where M_out is the actual amount of coal transported out of the well, W is the duration of the coal flow, and q_belt(t) is the instantaneous coal flow rate measured by the belt scale at time t.

[0009] In some embodiments of this application, the approved explanatory coal production quantity is determined by: calculating the theoretical coal production quantity based on the number of cutters, cutting depth, working face length, mining height, coal density, and recovery rate corresponding to the mining face; calculating the amount of excavated coal and gangue based on the footage, roadway cross-section, coal-rock ratio, and density corresponding to the mining face; and determining the approved explanatory coal production quantity based on the theoretical coal production quantity and the amount of excavated coal and gangue.

[0010] In some embodiments of this application, the method further includes: constructing a coal flow transportation topology map of the mining face; when the mining face is determined to be a concealed mining face, using time-delay correlation analysis between the coal production signal of the mining face and the coal flow signal of the conveyor, and performing reverse tracing along the coal flow transportation topology map to locate the suspected concealed coal source area.

[0011] In some embodiments of this application, the risk level of the suspected concealed coal source area is determined based on the actual production status of the mining face, the difference between the actual amount of coal transported out of the well and the approved explanatory amount of coal produced, and the duration of the coal flow.

[0012] In some embodiments of this application, the method further includes: generating corresponding early warning information based on the risk level of the suspected concealed coal source area.

[0013] A second aspect of this application provides a device for identifying concealed mining faces in coal mines, comprising: The first determining module is used to determine the actual production status of the mining face, which includes the production status and the non-production status. The second determining module is used to determine whether there is a continuous coal flow based on the coal flow signal on the transportation path corresponding to the mining face when the actual production state of the mining face is a non-production state. The exclusion module is used to exclude explanatory factors of the mining face based on a number of preset explanatory factors when there is a continuous coal flow on the transportation path corresponding to the mining face and the duration of the coal flow exceeds a time threshold. The third determining module is used to obtain the actual amount of coal transported out of the mining face and the approved amount of explanatory coal when there are no explanatory factors at the mining face; The fourth determining module is used to determine the mining face as a concealed mining face when the difference between the actual amount of coal transported out of the well and the approved explanatory amount of coal produced exceeds a preset coal quantity threshold.

[0014] A third aspect of this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method described in the first aspect above.

[0015] A fourth aspect of this application provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method described in the first aspect above.

[0016] The method for identifying concealed mining faces in coal mines provided in this application fundamentally changes the crude logic of directly equating abnormal equipment operation with concealed mining faces. This is achieved through a progressive judgment mechanism that identifies the actual production status of the mining face, determines continuous coal flow under non-production conditions, eliminates explainable factors, and verifies the difference between the actual amount of coal transported out of the mine and the approved explainable production amount. By using whether the mining face is in a non-production state as a prerequisite for anomaly judgment, the interference of coal flow from the transportation system during normal production operations is effectively eliminated. After detecting a long period of continuous coal flow under non-production conditions, multiple preset explainable factors are eliminated one by one. This allows for the differentiation between legitimate short-term or unconventional coal flows such as equipment jogging tests, coal bunker residual coal release, and residual coal cleaning, and the real continuous coal flow generated by concealed mining faces, thus avoiding misjudging normal operations as concealed mining faces. After eliminating the interference of explainable factors, the difference between the actual amount of coal transported out of the mine and the approved explainable amount of coal produced is compared to provide an objective quantitative basis for the final determination of the hidden mining face. This allows for the accurate identification of the typical characteristic of a hidden mining face where an unexplained excessive amount of coal is transported out of the mine during non-production conditions, effectively reducing the false alarm rate.

[0017] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart illustrating a method for identifying concealed mining faces in coal mines, provided as an embodiment of this application; Figure 2 This is a schematic diagram of a device for identifying concealed mining faces in coal mines, provided as an embodiment of this application. Detailed Implementation

[0019] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0020] Specifically, the following describes a method and apparatus for identifying concealed mining faces in coal mines according to embodiments of this application, with reference to the accompanying drawings.

[0021] Figure 1 This is a flowchart illustrating a method for identifying concealed mining faces in coal mines, provided as an embodiment of this application. Figure 1 As shown, the method for identifying concealed mining faces in a coal mine may include the following steps: Step 101: Determine the actual production status of the mining face. The actual production status includes the production status and the non-production status.

[0022] Non-production states can include: maintenance, shutdown, and no-operation states. In non-production states, short-term inching, no-load trial runs, residual coal cleaning, or coal bunker release are permitted. For example, in maintenance states, short-term inching, no-load trial runs, and partial maintenance operations are allowed, but a continuous coal-carrying chain should not be formed. In principle, there should be no continuous coal flow corresponding to the working face in shutdown or no-operation states. This is especially true when a continuous coal flow in a no-operation state exceeds a preset time, such as 30 minutes.

[0023] Production status requires that equipment such as coal mining machines or tunneling machines, scraper conveyors, transfer conveyors, and roadway belt conveyors have linkage relationships that conform to the mining process and match with shift plans, cutter counts, advance rates, tunneling footage, and personnel operation records. In some embodiments of this application, the system can adopt a state recognition model that combines rule constraints with machine learning. That is, rule labels are formed based on the mining plan, equipment linkage, and operation log, and then at least one of the following time series models—random forest, gradient boosting tree, LSTM, or Transformer—is used to identify the state features in the equipment current, runtime, and start-stop sequences, ultimately determining the actual production status S_face(t) of the mining face.

[0024] Step 102: When the actual production state of the mining face is non-production state, determine whether there is continuous coal flow based on the coal flow signal on the transportation path corresponding to the mining face.

[0025] In some embodiments of this application, the coal flow signals of various levels of transportation equipment can be time-sequentially segmented to identify shutdown, no-load operation, short-term trial operation, intermittent coal flow, continuous coal flow, and abnormal coal flow. For belt conveyor systems, the judgment can be made by comprehensively considering the belt operating status, belt speed, instantaneous flow rate q_belt(t) of the belt scale, motor current or power, coal flow sensor data, and video coal quantity identification results. For vertical shaft hoisting systems, the judgment can be made by comprehensively considering the hoisting cycle, loading signal, unloading signal, skip load, peak hoisting power, and speed curve. When the actual production state S_face(t) of the mining face is a non-production state, and the downstream transportation system continuously exhibits a coal-carrying state with a flow rate greater than the flow rate threshold q0 on the same transportation path, and the duration T_flow is not less than the time threshold T0, an abnormal continuous coal flow is determined to exist, and an abnormal coal flow event is generated. For example, T0 can be 30 minutes, or it can be adaptively calibrated based on the inertia of the mine transportation system, coal bunker capacity, and historical data.

[0026] Step 103: When there is a continuous coal flow on the transportation path corresponding to the mining face and the duration of the coal flow exceeds the time threshold, the explanatory factors of the mining face are excluded based on a number of preset explanatory factors.

[0027] To ensure the assessment results align with the actual site conditions, after confirming the existence of continuous coal flow at the mining face, the first step is to eliminate explainable factors. Explainable factors include at least one of the following: delayed coal arrival at the working face, release of residual coal from the coal bunker, coal cleaning during maintenance, short-term trial operation, belt scale drift, sensor false alarms, concentrated release after coal blockage at the transfer point, coal bunker turnover, and adjustments in the washing and beneficiation system. The existence of explainable factors and the rationality of the abnormal coal flow can be determined based on changes in material levels before and after the coal bunker, the time lag of coal flow approved upstream at the working face, maintenance documents, equipment trial records, the zero-point status of the belt scale, and consistency with adjacent metering points. If no explainable factors are found, the process proceeds to verifying the amount of coal transported out of the mine. If the abnormal coal flow can be explained by the above factors, it can be downgraded to a review event and will not trigger the subsequent verification step for the amount of coal transported out of the mine.

[0028] Step 104: If there are no explanatory factors at the mining face, obtain the actual amount of coal transported out of the mine and the approved explanatory amount of coal to be produced.

[0029] In one implementation, a verification time window W=[t_start] can be established around the abnormal coal flow event. τ1, t_end+τ2] are used to calculate the actual amount of coal transported out of the mine and the approved explanatory coal amount within the verification time window. Here, τ1 and τ2 are the transportation lag correction times. When the coal transportation method at the mining face is inclined shaft or main conveyor belt transportation, the actual amount of coal transported out of the mine is calculated based on the following formula using the instantaneous flow rate integral of the belt scale: M_out = M_belt = ∫W q_belt(t)dt Where M_out is the actual amount of coal transported out of the well, W is the duration of the coal flow, and q_belt(t) is the instantaneous coal flow rate measured by the belt scale at time t. When the belt scale is missing or malfunctioning, belt speed, cross-sectional coal quantity, power difference, and historical calibration coefficients can be used for auxiliary estimation.

[0030] When the coal transportation method at the mining face is vertical shaft hoisting, the full-load hoisting cycle can be identified based on the number of hoisting cycles, skip rated capacity, loading and weighing, unloading signals, full-load / empty-load power difference, and speed curve, and the amount of coal hoisted can be calculated back to M_out=M_hoist. In multi-path transportation, the measurement values ​​for each path can be weighted and summarized to obtain the actual amount of coal transported out of the mine after summing the values ​​for each path.

[0031] In some embodiments of this application, the amount of approved explanatory coal within the verification time window can be determined in the following ways: The theoretical coal production volume M_face,j is calculated based on the number of cutters n_j, cutting depth b_j, working face length L_j, mining height h_j, coal density ρ_j, and recovery rate η_j corresponding to the mining face: M_face,j = n_j·b_j·L_j·h_j·ρ_j·η_j. Alternatively, it can be calculated based on the advance rate a_j: M_face,j = a_j·L_j·h_j·ρ_j·η_j. The excavated coal and gangue volume ΣM_tunnel is calculated based on the footage l_k, roadway cross-section A_k, coal-rock ratio r_k, and density ρ_k corresponding to the mining face. The approved explanatory coal production volume is determined based on the theoretical coal production volume and the excavated coal and gangue volume.

[0032] Optionally, in some embodiments, a coal warehouse inventory change correction ΔM_stock and a transportation loss correction ε_loss may also be introduced to obtain the approved production explainable coal quantity M_plan=ΣM_face+ΣM_tunnel+ΔM_stock+ε_loss.

[0033] Step 105: When the difference between the actual amount of coal transported out of the well and the approved amount of explanatory coal exceeds a preset coal quantity threshold, the mining face is determined to be a hidden mining face.

[0034] When the difference between the actual coal output from the well and the approved explanatory coal output is ΔM = M_out If M_plan exceeds the preset coal quantity threshold δM, the mining face is determined to be a concealed mining face. δM can be set according to the absolute coal quantity, shift output ratio, or measurement error multiple, for example, δM=max(fixed tonnage threshold, α·M_plan, β·ε_meter).

[0035] Optionally, in some embodiments, a difference in transportation time can be introduced based on the difference in coal quantity to determine the concealed mining face. The difference in transportation time ΔT = T_trans T_regular, where T_trans is the transport time of the abnormal coal flow, and T_regular is the reasonable transport time calculated based on approved output, belt capacity, hoisting capacity, coal bunker capacity, and historical transport efficiency. If ΔM > δM, and ΔM > the upper limit of measurement error ε_meter, and ΔT > the transport time threshold δT, then the mining face is determined to be a hidden mining face.

[0036] In some embodiments of this application, multi-source production and transportation data can also be collected to construct a coal flow transportation topology map of the mining face. Multi-source production and transportation data may include: mining and tunneling succession plans, shift production plans, lists of reported coal mining and tunneling faces, approved face cut counts or advances, tunneling footage, operating status of coal mining machines / tunneling machines, scraper conveyors, transfer conveyors, crushers, roadway belt conveyors, mining area belt conveyors, main transport belt conveyors, coal bunkers, inclined shaft belt scales, vertical shaft hoists, loading and unloading stations, mine car or skip cycle records, hoist current / power / speed curves, coal bunker material levels, inventory changes, sales volume, reported production volume, and transportation system diagrams. By uniformly encoding the mining faces, transfer points, belt conveyors, coal bunkers, shaft hoisting points, and metering points, a coal flow transportation topology map G=(V,E,A) is formed, where V represents the working face, transfer point, coal bunker, and metering point; E represents the coal flow direction; and A represents equipment attributes, metering method, transportation capacity, and mining area. When a mining face is determined to be a hidden mining face, the time-delay correlation analysis between the coal production signal of the mining face and the coal flow signal of the conveyor is used, and reverse tracing is performed along the coal flow transportation topology to locate the suspected hidden coal source area.

[0037] In one implementation, the time-delay correlation coefficient C_lag between the coal production signal at the mining face and the coal flow signal of the downstream belt scale or hoist can be calculated. Normal coal flow should be transmitted step-by-step along the path of working face—transfer point—headway belt—mining area belt—main transport belt—coal bunker—incline shaft belt or vertical shaft hoist, with a reasonable delay. If the main transport coal flow has no effective correlation with the coal production signal of any approved working face, or if the coal output at a certain transport node is significantly greater than the explainable coal input at the upstream approved node, the coal flow transport topology can be traced backwards. By combining the start and end times of the coal flow at each node, peak flow rates, and changes in coal bunker level, suspected transport branches, coal bunker entrances, transfer points, or mining area directions can be located, generating suspected hidden coal source areas in the concealed mining face.

[0038] Furthermore, in some embodiments, the risk level of suspected concealed coal source areas can be determined based on the actual production status of the mining face, the difference between the actual amount of coal transported out of the mine and the approved explainable amount of coal, and the duration of the coal flow. In one implementation, an evidence vector can be constructed for each suspected concealed coal source area i: F_i=[A_state,A_flow,ΔM,ΔT,A_stock,A_lag,A_explain], Among them, A_state represents the abnormal state of no operation (1 for non-production state, 0 for production state), A_flow represents the abnormal long-term coal flow (1 for coal flow duration exceeding the time threshold, otherwise 0), ΔM represents the excess coal quantity difference, ΔT represents the abnormal transportation duration, A_stock represents the abnormal coal bunker change (normalized to 0~1), A_lag represents the time lag correlation mismatch (1 for the coal flow segment where no approved working face production signal can be found as the source on the time axis, otherwise 0), A_topo represents the abnormal transportation topology inversion, and A_explain represents the degree to which the explanatory factors cannot be established (1 for the absence of explanatory factors, otherwise 0). Optionally, the evidence elements for the suspected hidden coal source area i can also include the abnormal transportation topology inversion A_topo (if, by reverse engineering along the transportation topology map, the coal output of this transportation node is found to be much greater than the sum of the explanatory coal inputs of all approved upstream nodes, which is illogical, then 1, otherwise 0).

[0039] The comprehensive risk score can be expressed as:

[0040] Where C_cons represents the consistency coefficient of multiple pieces of evidence appearing simultaneously in the same shift, the same transport route, or the same mining area direction, w1-w8 are the weights, and λ is the coefficient.

[0041] In some embodiments of this application, corresponding early warning information, such as four levels of warning (blue, yellow, orange, and red), can be generated based on the risk level of suspected concealed coal source areas. If there is only a short-term coal flow anomaly but no excessive coal transport, a low-level verification is output; if there is a "long-term coal flow without operation" but the coal quantity difference is not significant, a medium-level inspection is output; if "long-term coal flow without operation" and "excessive coal transport" occur simultaneously, accompanied by abnormal transport duration, abnormal coal bunker changes, or abnormal topological inversion, a highly suspected concealed mining face is output. The system also outputs abnormal shifts, abnormal time periods, approved working face status, coal flow curves, verification results of belt scales or hoists, excess coal quantity difference, suspected transport branches, suspected area maps, evidence chain reports, and on-site inspection routes. After the on-site inspection results are returned, the system updates the threshold, measurement error model, time delay parameters, and risk score weights to form a closed-loop learning process.

[0042] By implementing the embodiments of this application, a progressive judgment mechanism is adopted, which identifies the actual production status of the mining face, determines continuous coal flow in non-production states, eliminates explainable factors, and verifies the difference between the actual amount of coal transported out of the mine and the approved explainable coal production. This fundamentally changes the crude logic of directly equating equipment malfunctions with concealed mining faces. Using whether the mining face is in a non-production state as a prerequisite for anomaly judgment effectively eliminates the interference of coal flow from the transportation system on the identification results during normal production operations at the mining face. After detecting a long-term continuous coal flow in a non-production state, multiple preset explainable factors are eliminated one by one. This allows for the differentiation between legitimate short-term or unconventional coal flows such as equipment jogging tests, coal bunker residual coal release, and residual coal cleaning, and the real continuous coal flow generated by concealed mining faces, avoiding misjudging normal operations as concealed mining faces. After eliminating the interference of explainable factors, the difference between the actual amount of coal transported out of the mine and the approved explainable amount of coal produced is compared to provide an objective quantitative basis for the final determination of the hidden mining face. This allows for the accurate identification of the typical characteristic of a hidden mining face where an unexplained excessive amount of coal is transported out of the mine during non-production conditions, effectively reducing the false alarm rate.

[0043] To better understand the method for identifying concealed mining faces in coal mines proposed in this application, three embodiments are presented below.

[0044] Example 1: Prolonged Coal Flow During Non-Production Period and Verification of Excessive Coal Volume. A mine reported a night shift maintenance at the coal face. The coal mining machine had no feed records, and the transfer conveyor and roadway belt had no regular production linkage signals. The system detected that the mining area belt and main conveyor belt continuously carried coal for 55 minutes from 23:10 to 00:05, exceeding the default threshold of 30 minutes. After ruling out issues based on coal bunker level and test run records, the system proceeded to verify the amount of coal transported out of the shaft. The inclined shaft belt scale integrated within the verification window, obtaining M_out = 760t. After correction for the approved working face theoretical output and coal bunker changes in the same window, M_plan = 180t, ΔM = 580t, exceeding the threshold δM. The system determined that this shift had closed-loop evidence of "prolonged coal flow without operation + excessive coal transport out," outputting a red alert and inverting the transportation topology to a branch road in a certain mining area as a suspected hidden coal source area.

[0045] Example 2: Abnormal coal flow explained by the release of residual coal from the coal bunker. A maintenance shift at a mine experienced a continuous coal flow on the main conveyor belt for 35 minutes, initially triggering a strong anomaly. System checks of the coal bunker level revealed that the bunker was at a high level at the end of the previous shift. Coal was released from the bunker in the first 30 minutes of this shift, and the amount of coal discharged from the conveyor scale was roughly consistent with the decrease in the bunker level, with no new coal arrival signals from the upstream mining area. The system classified this event as the release of residual coal from the bunker, downgraded it to a verification event, and did not output a conclusion of a highly suspected concealed mining face.

[0046] Example 3: Verification of Anomalies in Vertical Shaft Hoisting. A shift in a vertical shaft mine reported a shutdown of the coal mining face, with only the tunneling face operating normally. The approved explainable coal quantity M_plan = 220t. The system detected that the haulage branch in front of the bottom coal bunker and the vertical shaft hoisting carried coal continuously for more than 40 minutes without any coal mining production signal. Based on the hoisting machine's cycle, loading signals, and full-load power curve, it calculated M_hoist = 980t. After correcting for changes in the coal bunker, there was still an unexplained coal quantity exceeding ΔM = 710t, and the hoisting period did not match the approved tunneling coal flow sequence. The system output a warning for a highly suspected concealed mining face and generated the haulage branch in front of the bottom coal bunker, relevant video or sensor footage, and a site verification route.

[0047] Figure 2 This is a schematic diagram of a device for identifying concealed mining faces in coal mines, provided as an embodiment of this application. Figure 2 As shown, the identification device for the concealed mining face in the coal mine may include: a first determining module 201, a second determining module 202, an exclusion module 203, a third determining module 204, and a fourth determining module 205.

[0048] The first determining module 201 is used to determine the actual production status of the mining face, which includes the production status and the non-production status. The second determining module 202 is used to determine whether there is a continuous coal flow based on the coal flow signal on the transportation path corresponding to the mining face when the actual production state of the mining face is a non-production state. The exclusion module 203 is used to exclude explanatory factors of the mining face based on a number of preset explanatory factors when there is a continuous coal flow on the transportation path corresponding to the mining face and the duration of the coal flow exceeds a time threshold. The third determining module 204 is used to obtain the actual amount of coal transported out of the mining face and the approved explanatory amount of coal to be produced when there is no explanatory factor at the mining face. The fourth determination module 205 is used to determine the mining face as a hidden mining face when the difference between the actual amount of coal transported out of the well and the approved explanatory amount of coal produced exceeds a preset coal quantity threshold.

[0049] In some embodiments of this application, such as Figure 2 Based on the illustrated embodiment, the identification device for concealed coal mining faces may further include a reverse positioning module. The reverse positioning module is used to: construct a coal flow transport topology map of the mining face; and when a mining face is determined to be a concealed mining face, utilize time-delay correlation analysis between the coal production signal of the mining face and the coal flow signal of the conveyor, and perform reverse tracing along the coal flow transport topology map to locate suspected concealed coal source areas.

[0050] In some embodiments of this application, the reverse positioning module is specifically used to: determine the risk level of a suspected concealed coal source area based on the actual production status of the mining face, the difference between the actual amount of coal transported out of the mine and the approved explanatory amount of coal, and the duration of the coal flow.

[0051] In some embodiments of this application, the reverse positioning module is also used to: generate corresponding early warning information based on the risk level of the suspected hidden coal source area.

[0052] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0053] To implement the above embodiments, this application also proposes an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0054] To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.

[0055] To implement the above embodiments, this application also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.

[0056] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0057] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0058] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0059] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0060] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0061] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0062] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0063] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for identifying concealed mining faces in coal mines, characterized in that, Includes the following steps: Determine the actual production status of the mining face, which includes both production status and non-production status; When the actual production state of the mining face is non-production state, the existence of continuous coal flow is determined based on the coal flow signal on the transportation path corresponding to the mining face; When there is a continuous coal flow on the transportation path corresponding to the mining face and the duration of the coal flow exceeds a time threshold, the mining face is excluded from the explanatory factors based on a number of preset explanatory factors. In the absence of any explanatory factors at the mining face, obtain the actual amount of coal transported out of the mine and the approved explanatory amount of coal to be produced at the mining face; When the difference between the actual amount of coal transported out of the well and the approved amount of explanatory coal exceeds a preset coal quantity threshold, the mining face is determined to be a concealed mining face.

2. The method according to claim 1, characterized in that, The explanatory factors include at least one of the following: delayed coal arrival at the working face, release of residual coal in the coal bunker, coal cleaning during maintenance, short-term trial operation, belt scale drift, sensor false alarms, concentrated release of coal after blockage at the transfer point, coal bunker relocation, and adjustment of the washing and beneficiation system.

3. The method according to claim 1, characterized in that, When the coal transportation method at the mining face is inclined shaft or main conveyor belt transportation, the actual amount of coal transported out of the shaft is calculated using the following formula: M_out=∫W q_belt(t)dt Where M_out is the actual amount of coal transported out of the well, W is the duration of the coal flow, and q_belt(t) is the instantaneous coal flow rate measured by the belt scale at time t.

4. The method according to claim 1, characterized in that, The approved explanatory coal quantity for production is determined in the following manner: The theoretical coal mining volume is calculated based on the number of cutters, cutting depth, working face length, mining height, coal density, and recovery rate corresponding to the mining face. The amount of coal and gangue excavated is calculated based on the footage, roadway cross-section, coal-rock ratio, and density corresponding to the mining face. The approved explanatory coal quantity is determined based on the theoretical coal mining quantity and the amount of coal and gangue excavated.

5. The method according to claim 1, characterized in that, Also includes: Construct a topology map of coal flow transportation at the mining face; When the mining face is determined to be a concealed mining face, the time-delay correlation analysis between the coal production signal of the mining face and the coal flow signal of the conveyor is used, and reverse tracing is performed along the coal flow transportation topology to locate the suspected concealed coal source area.

6. The method according to claim 5, characterized in that, Also includes: The risk level of the suspected concealed coal source area is determined based on the actual production status of the mining face, the difference between the actual amount of coal transported out of the well and the approved explanatory amount of coal, and the duration of the coal flow.

7. The method according to claim 6, characterized in that, Also includes: Based on the risk level of the suspected concealed coal source areas, corresponding early warning information is generated.

8. A device for identifying concealed mining faces in coal mines, characterized in that, include: The first determining module is used to determine the actual production status of the mining face, which includes the production status and the non-production status. The second determining module is used to determine whether there is a continuous coal flow based on the coal flow signal on the transportation path corresponding to the mining face when the actual production state of the mining face is a non-production state. The exclusion module is used to exclude explanatory factors of the mining face based on a number of preset explanatory factors when there is a continuous coal flow on the transportation path corresponding to the mining face and the duration of the coal flow exceeds a time threshold. The third determining module is used to obtain the actual amount of coal transported out of the mining face and the approved amount of explanatory coal when there are no explanatory factors at the mining face; The fourth determining module is used to determine the mining face as a concealed mining face when the difference between the actual amount of coal transported out of the well and the approved explanatory amount of coal produced exceeds a preset coal quantity threshold.

9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-7.

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