A comprehensive evaluation method for geological conditions of thin coal seam working face mining

Abstract

The present invention provides a method for comprehensively evaluating geological conditions for mining a thin coal seam working face, and belongs to the technical field of coal mining. The embodiment of the present invention can issue at least one optional mining strategy to a target terminal based on geological exploration information of a target thin coal seam working face uploaded by a target terminal, and determine a target mining strategy from at least one optional mining strategy based on available mining resources corresponding to each optional mining strategy fed back by the target terminal, and then, on the basis of geological evaluation influencing factors of the target thin coal seam working face, further comprehensively consider mining resource influencing factors determined based on available mining resources corresponding to the target mining strategy, thereby achieving a comprehensive and accurate evaluation of the target thin coal seam working face, and then, based on the mining evaluation results, can provide accurate and effective mining guidance for the mining site, thereby improving the mining efficiency and mining effect of the target thin coal seam working face.

Description

Technical Field

[0001] The invention relates to the technical field of coal mining, and in particular to a method for comprehensively evaluating geological conditions for mining a thin coal seam working face. Background Art

[0002] With years of mining, many traditional coal seam resources (such as medium-thick coal seams and thick coal seams) have gradually become exhausted, and mining has become increasingly difficult and costly. As a coal resource that has not yet been fully developed, thin coal seams have become an important source to supplement traditional coal.

[0003] The thin coal seam working face refers to the specific area or interface where mining is carried out in the thin coal seam. In the thin coal seam working face, miners use specific mining techniques and equipment to maximize the exploitation of limited coal resources. In order to improve the mining efficiency of the thin coal seam working face, it is usually necessary to conduct an effective comprehensive assessment of the mining geological conditions of the thin coal seam working face before mining.

[0004] In related technologies, mining geological conditions are usually evaluated based on basic information such as coal seam thickness, inclination, coal quality and geological structure of thin coal seam working faces. However, this method considers the basic information of thin coal seam working faces, but does not consider the actual mining conditions and mining capacity of the mining site, resulting in the evaluation results being difficult to provide accurate and effective mining guidance for the mining site, thereby affecting mining efficiency and mining results. Summary of the invention

[0005] The embodiment of the present invention provides a method for comprehensive evaluation of geological conditions of thin coal seam working face mining, and the present invention adopts the following technical solutions:

[0006] In a first aspect, a method for comprehensive evaluation of geological conditions of thin coal seam working face mining is provided, which is applied to a cloud platform, and the method comprises:

[0007] Obtaining geological exploration information and geological assessment influencing factors of the target thin coal seam working face uploaded by the target terminal; the geological assessment influencing factors include geological structure factors, coal seam quality factors, coal seam stability factors, roof and floor stability factors, and gas content factors;

[0008] Determining at least one optional mining strategy based on the geological exploration information;

[0009] Sending at least one of the optional mining strategies to the target terminal, so that the target terminal feeds back to the cloud platform the available mining resources corresponding to each of the optional mining strategies; the available mining resources include available equipment resources and available personnel resources;

[0010] Determine the resource matching degree corresponding to each of the optional mining strategies based on the available mining resources corresponding to each of the optional mining strategies, and determine the target mining strategy in at least one of the optional mining strategies based on the resource matching degree corresponding to each of the optional mining strategies;

[0011] Determine a mining resource influencing factor based on the available mining resources corresponding to the target mining strategy, and obtain a multidimensional assessment influencing factor based on the geological assessment influencing factor and the mining resource influencing factor;

[0012] Based on the multi-dimensional evaluation influencing factors and the preset weight matrix, the mining evaluation result of the target thin coal seam working face is determined.

[0013] In one embodiment of the present invention, the geological exploration information includes multi-dimensional geological parameters and scale information of the target thin coal seam working face; the optional mining strategy includes optional mining types and required resources under the optional mining types;

[0014] The step of determining at least one optional mining strategy based on the geological exploration information comprises:

[0015] Based on the multi-dimensional geological parameters, determining at least one optional mining type from a plurality of preset mining types;

[0016] Based on the scale information, the required resources under each of the optional mining types are determined to obtain at least one of the optional mining strategies.

[0017] In one embodiment of the present invention, the step of determining at least one optional mining type from a plurality of preset mining types based on the multi-dimensional geological parameters comprises:

[0018] Obtain geological information parameter ranges corresponding to multiple preset mining types;

[0019] For any of the preset mining types, when the multi-dimensional geological parameter is within the geological information parameter range, the preset mining type is determined as the optional mining type.

[0020] In one embodiment of the present invention, the multidimensional geological parameters include coal seam thickness, burial depth, coal quality characteristics, geological structure and hydrogeological characteristics; the geological information parameter range includes a first parameter range for the coal seam thickness, a second parameter range for the burial depth, a third parameter range for the coal quality characteristics, a fourth parameter range for the geological structure and a fifth parameter range for the hydrogeological characteristics;

[0021] The step of determining any of the preset mining types as the optional mining type when the multi-dimensional geological parameter is within the geological information parameter range comprises:

[0022] For any of the preset mining types, obtaining a first parameter range, a second parameter range, a third parameter range, a fourth parameter range and a fifth parameter range corresponding to the preset mining type;

[0023] When the coal seam thickness is within the first parameter range, the burial depth is within the second parameter range, the coal quality characteristics are within the third parameter range, the geological structure is within the fourth parameter range, and the hydrogeological characteristics are within the fifth parameter range, the preset mining type is determined as the optional mining type.

[0024] In one embodiment of the present invention, the step of sending at least one of the optional mining strategies to the target terminal includes:

[0025] For any of the optional mining strategies, based on the required resources corresponding to the optional mining strategy, generating a resource requirement table corresponding to the optional mining strategy;

[0026] The resource requirement table corresponding to at least one of the optional mining strategies is sent to the target terminal.

[0027] In one embodiment of the present invention, the demand resources include equipment demand resources and personnel demand resources;

[0028] The step of determining the resource matching degree corresponding to each of the optional mining strategies based on the available mining resources corresponding to each of the optional mining strategies comprises:

[0029] For any of the optional mining strategies, determining a first degree of matching between equipment demand resources corresponding to the optional mining strategy and available equipment resources, and determining a second degree of matching between personnel demand resources corresponding to the optional mining strategy and available personnel resources;

[0030] Based on the first matching degree and the second matching degree, a resource matching degree corresponding to the optional mining strategy is determined.

[0031] In one embodiment of the present invention, the step of determining a target mining strategy from at least one of the optional mining strategies based on the resource matching degree corresponding to each of the optional mining strategies includes:

[0032] Determine the highest resource matching degree among the resource matching degrees corresponding to the optional mining strategies;

[0033] When the highest resource matching degree is greater than or equal to the matching degree threshold, the optional mining strategy corresponding to the highest resource matching degree is determined as the target mining strategy.

[0034] In one embodiment of the present invention, the method further includes:

[0035] In a case where the highest resource matching degree is less than the matching degree threshold, determining resource supplementary information;

[0036] The resource supplement information is sent to the target terminal.

[0037] In an embodiment of the present invention, the step of determining resource supplementary information when the highest resource matching degree is less than the matching degree threshold comprises:

[0038] When the highest resource matching degree is less than the matching degree threshold, obtaining equipment demand resources and personnel demand resources of the optional mining strategy corresponding to the highest resource matching degree;

[0039] Determine equipment supplement information based on the equipment demand resources and the available equipment resources; and / or determine personnel supplement information based on the personnel demand resources and the available personnel resources;

[0040] The resource supplementary information is determined based on the equipment supplementary information and / or the personnel supplementary information.

[0041] In one embodiment of the present invention, the step of determining the mining assessment result of the target thin coal seam working face based on the multi-dimensional assessment influencing factors and a preset weight matrix includes:

[0042] Determining weighted feature data based on the multidimensional evaluation impact factors and the weight matrix;

[0043] Inputting the weighted characteristic data into a preset evaluation model, and outputting a comprehensive evaluation score of the target thin coal seam working face;

[0044] Based on the comprehensive evaluation score, a mining evaluation result of the target thin coal seam working face is determined.

[0045] In summary, the above-mentioned comprehensive assessment method for geological conditions of thin coal seam working face mining has the following technical effects:

[0046] The embodiment of the present invention first obtains the geological exploration information and geological assessment influencing factors of the target thin coal seam working face uploaded by the target terminal, so that the cloud platform can determine at least one optional mining strategy based on the geological exploration information; then sends at least one optional mining strategy to the target terminal, so that the target terminal can feedback the available mining resources corresponding to each optional mining strategy to the cloud platform according to the actual situation on site, and the cloud platform determines the resource matching degree corresponding to each optional mining strategy based on the available mining resources corresponding to each optional mining strategy, and determines a suitable target mining strategy in at least one optional mining strategy based on the resource matching degree corresponding to each optional mining strategy; then determines the mining resource influencing factors based on the available mining resources corresponding to the target mining strategy, and obtains the multidimensional assessment influencing factors based on the geological assessment influencing factors and the mining resource influencing factors; finally, determines the mining assessment result of the target thin coal seam working face based on the multidimensional assessment influencing factors and the preset weight matrix. The embodiment of the present invention can achieve a comprehensive and accurate assessment of the target thin coal seam working face by further comprehensively considering the available mining resources that can be provided by the mining site for the target mining strategy on the basis of the geological assessment influencing factors of the target thin coal seam working face, and then according to the mining assessment results, can provide accurate and effective mining guidance for the mining site, thereby improving the mining efficiency and mining effect of the target thin coal seam working face. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic flow chart of the steps of a method for comprehensive assessment of geological conditions for mining in a thin coal seam working face provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The technical solution of the present invention will be described below in conjunction with the accompanying drawings.

[0049] It should be noted that thin coal seam working face refers to the coal mining working face with a smaller coal seam thickness, usually referring to a coal seam with a thickness between 0.5 meters and 1.5 meters. Due to its thin thickness, the challenges and technical requirements faced in the mining process are different from those of conventional coal seams.

[0050] The mining of thin coal seams has been in a state of slow development for a long time due to economic, technical and safety reasons. At present, there are still many challenges in the mining of thin coal seams, such as complex geological conditions, insufficient technical equipment and low economic benefits. This also leads to the fact that the equipment and personnel resources that can be put into use are limited at the mining site of the thin coal seam working face due to the limitations of on-site mining conditions and mining resource investment.

[0051] In related technologies, traditional comprehensive assessment strategies for mining geological conditions usually only consider basic information such as coal seam thickness, inclination, coal quality and geological structure of thin coal seam working faces, but do not consider the actual mining conditions and mining capacity at the mining site. As a result, the assessment results are difficult to provide accurate and effective mining guidance for the mining site, which in turn affects mining efficiency.

[0052] Based on this, the present invention aims to provide a comprehensive assessment method for the geological conditions of mining of a thin coal seam working face, which can use the cloud platform to send at least one optional mining strategy to the target terminal based on the geological exploration information of the target thin coal seam working face uploaded by the target terminal, and determine the target mining strategy that can be achieved at the mining site in at least one optional mining strategy based on the available mining resources corresponding to each optional mining strategy fed back by the target terminal, and determine the mining resource influencing factors based on the available mining resources corresponding to the target mining strategy, and then, by further comprehensively considering the mining resource influencing factors on the basis of the geological assessment influencing factors of the target thin coal seam working face, a comprehensive and accurate assessment of the target thin coal seam working face can be achieved, and then, based on the mining assessment results, accurate and effective mining guidance opinions can be provided to the mining site, thereby improving the mining efficiency and mining effect of the target thin coal seam working face.

[0053] Reference Figure 1 The embodiment of the present invention provides a flowchart of a method for comprehensive evaluation of geological conditions of thin coal seam working face mining. The method is applied to a cloud platform and may specifically include the following steps:

[0054] S101: Acquire geological exploration information and geological assessment influencing factors of the target thin coal seam working face uploaded by the target terminal.

[0055] It should be noted that the cloud platform can be a computing service device with data processing, network communication and program running functions, or an electronic device with the above functions; the target terminal is a terminal device set up at the mining site, including but not limited to mobile terminals, computer terminals and industrial terminals.

[0056] In this embodiment, corresponding target terminals can be set for different mining sites, and the cloud platform can be connected to multiple target terminals. After completing security verification, any target terminal can establish a communication connection with the cloud platform. By exchanging data with multiple target terminals, the cloud platform can conduct a comprehensive assessment of mining geological conditions for target thin coal seam working faces at multiple mining sites.

[0057] In this embodiment, after the on-site staff completes the geological exploration of the target thin coal seam working face, they can input the corresponding geological exploration information and geological assessment influencing factors through the target terminal. To ensure data transmission security, the target terminal can package and encrypt the geological exploration information and geological assessment influencing factors into an encrypted data packet, and upload the encrypted data packet to the cloud platform, which can parse the encrypted data packet to obtain the geological exploration information and geological assessment influencing factors of the target thin coal seam working face.

[0058] It should be noted that geological exploration information is the data basis for formulating mining strategies for target thin coal seam working faces. In other words, the cloud platform can determine the optional mining strategies applicable to the mining site based on geological exploration information.

[0059] It should be noted that the geological assessment influencing factors refer to the various geological factors that affect the mining of the target thin coal seam working face, which may specifically include geological structure factors, coal seam quality factors, coal seam stability factors, roof and floor stability factors and gas content factors.

[0060] Specifically, the geological structural factors characterize the geological characteristics of the area where the target thin coal seam working face is located, and may include fault parameters and fold parameters. Among them, the fault parameters refer to the relevant parameters of the fracture surface existing in the target thin coal seam working face, such as fault density and fault length index, etc.; the fold parameters refer to the relevant parameters of the fold morphology existing in the target thin coal seam working face, such as fold profile coefficient, etc.;

[0061] Specifically, the coal seam quality factor is used to characterize the coal quality of the target thin coal seam working face, which can be determined based on parameters such as the fixed carbon content, specific gravity and porosity of the coal mine.

[0062] Specifically, the coal seam stability factor is used to characterize the coal mine stability of the target thin coal seam working face, which can be determined based on parameters such as coal seam thickness, coal seam inclination, compressive strength, tensile strength and elastic modulus.

[0063] Specifically, the roof and floor stability factors are used to characterize the stability of the roof and floor of the target thin coal seam working face, which can be determined based on parameters such as the compressive strength, tensile strength, shear strength and elastic modulus of the roof and floor.

[0064] Specifically, the gas content factor is used to characterize the gas content of the target thin coal seam working face.

[0065] In this embodiment, by starting from the geological dimension and comprehensively considering various geological assessment influencing factors that affect the mining of the target thin coal seam working face, the comprehensiveness and accuracy of the assessment can be ensured.

[0066] S102: Determine at least one optional mining strategy based on geological exploration information.

[0067] In this embodiment, based on the geological exploration information of the target thin coal seam working face, the cloud platform can determine at least one suitable optional mining strategy for the target thin coal seam working face according to local conditions, thereby providing a strategy reference for on-site mining personnel.

[0068] Specifically, the geological exploration information may include multi-dimensional geological parameters and scale information of the target thin coal seam working face; the optional mining strategy includes the optional mining type and the required resources under the optional mining type; S102 may specifically include the following sub-steps:

[0069] S102-1: Based on the multi-dimensional geological parameters, determine at least one optional mining type from a plurality of preset mining types.

[0070] In this embodiment, the cloud platform pre-stores multiple preset mining types, and different preset mining types represent different mining methods. The multiple preset mining types may include but are not limited to longwall comprehensive mining, shortwall mechanized mining, spiral drill mining machine mining, room-and-pillar mining, protective layer mining and other types.

[0071] In this embodiment, the cloud platform can select at least one optional mining type suitable for the target thin coal seam working face from a plurality of preset mining types based on multi-dimensional geological parameters.

[0072] In this embodiment, in order to achieve fast matching of optional mining types, different geological information parameter ranges are configured for different preset mining types. In this way, after obtaining the geological information parameter ranges corresponding to multiple preset mining types, the cloud platform can determine the preset mining type as an optional mining type for any preset mining type when the multi-dimensional geological parameters are within the geological information parameter range.

[0073] In a specific implementation, the multidimensional geological parameters may specifically include coal seam thickness, burial depth, coal quality characteristics, geological structure and hydrogeological characteristics.

[0074] It should be noted that the thickness of a coal seam refers to the vertical thickness of the coal seam from top to bottom. The thickness of a coal seam directly affects the economics and technical selection of mining. For example, for a working face with a coal seam thickness of less than 0.8 meters, special mining technology and equipment are usually required.

[0075] It should be noted that the burial depth refers to the vertical distance from the surface of the coal seam to the top of the coal seam. The burial depth affects the pressure, temperature and hydrological conditions during the mining process. In deep coal seams (usually more than 800 meters), mining technology and safety measures need to be more stringent, and the cost will be relatively higher.

[0076] It should be noted that coal quality characteristics refer to the chemical and physical properties of coal, which can specifically include parameters such as calorific value, ash content, sulfur content and volatile content. Among them, the higher the calorific value, the higher the economic value of the coal; the ash content refers to the residue left after the coal is burned, mainly minerals, the lower the content, the higher the quality of the coal; the sulfur content refers to the proportion of sulfur in the coal, too high will cause environmental pollution, and therefore will also affect the market value of the coal; the volatile matter refers to the volatile substances released when the coal is burned, and the coal with a high volatile content usually burns more completely and is more likely to generate heat.

[0077] It should be noted that geological structure refers to the geological characteristics of the area where the coal seam is located, which may include fault parameters and fold parameters. Among them, the fracture surface in the coal seam may cause damage to the coal seam and increase the difficulty of mining; the fold morphology of the coal seam affects the shape of the coal seam and the mining method.

[0078] It should be noted that hydrogeological characteristics can specifically include parameters such as groundwater level, distribution of aquifers, direction and rate of water flow, etc. Among them, the height of groundwater level affects the mining risk (such as water inrush) and exploitability of coal seams; the distribution of aquifers in different strata affects the hydrological conditions during mining, and too much water will affect the quality of coal and the difficulty of mining; the direction and rate of water flow affect the drainage measures and mining technology selection of groundwater.

[0079] In this embodiment, the cloud platform will set corresponding geological information parameter ranges for each preset mining type based on the above-mentioned multi-dimensional geological parameters, including a first parameter range for coal seam thickness, a second parameter range for burial depth, a third parameter range for coal quality characteristics, a fourth parameter range for geological structure and a fifth parameter range for hydrogeological characteristics.

[0080] In a specific implementation, the cloud platform can obtain the first parameter range, second parameter range, third parameter range, fourth parameter range and fifth parameter range corresponding to any preset mining type, and determine the preset mining type as an optional mining type when the coal seam thickness is within the first parameter range, the burial depth is within the second parameter range, the coal quality characteristics are within the third parameter range, the geological structure is within the fourth parameter range and the hydrogeological characteristics are within the fifth parameter range.

[0081] In this embodiment, by quantifying and classifying the multi-dimensional geological parameters of the target thin coal seam working face and determining the parameter range, rapid matching of optional mining types can be achieved.

[0082] In one example, based on multi-dimensional geological parameters, it can be determined that the thickness of the target thin coal seam working face is 0.9 meters; the burial depth is 600 meters; the coal quality is excellent; the geological structure is simple without significant faults; and the hydrogeological characteristics are impermeable layers. The optional mining type can include "longwall fully mechanized mining", and use small thin coal seam mining machines to mine in a layer-by-layer manner to reduce disturbance of the coal seam, improve operational flexibility and safety, while reducing damage to the coal seam and ensuring the integrity of the controlled coal seam.

[0083] S102-2: Based on the scale information, determine the required resources under each optional mining type to obtain at least one optional mining strategy.

[0084] In this embodiment, after determining at least one optional mining type, the cloud platform will also determine the required resources under each optional mining type according to the scale information of the target thin coal seam working face for each optional mining type. The scale information of the target thin coal seam working face may specifically include parameters such as coal seam thickness, coal seam area, coal seam reserves, geological conditions, and expected coal mining rate.

[0085] It should be noted that the required resources under the optional mining type represent the ideal resources required to complete the mining of the target thin coal seam working face using the optional mining type. The required resources may specifically include equipment required resources and personnel required resources.

[0086] S103: Send at least one optional mining strategy to the target terminal, so that the target terminal feeds back available mining resources corresponding to each optional mining strategy to the cloud platform.

[0087] In this embodiment, the cloud platform sends at least one optional mining strategy to the target terminal, so that the on-site mining personnel can understand the required resources of each optional mining strategy according to the at least one optional mining strategy issued by the cloud platform, and then feedback the available mining resources corresponding to each optional mining strategy to the cloud platform according to the actual equipment and personnel conditions on site. The available mining resources include available equipment resources and available personnel resources.

[0088] In the specific implementation, in order to facilitate the operation of on-site mining personnel and improve operational efficiency, the cloud platform will generate a resource demand table corresponding to any optional mining strategy based on the demand resources corresponding to the optional mining strategy; and send the resource demand table corresponding to at least one optional mining strategy to the target terminal.

[0089] In this embodiment, the resource requirement table can be set as an editable electronic form. After receiving the resource requirement table, the target terminal can display the resource requirement table on a preset human-computer interaction interface. Specifically, an editable text box can be set after each required resource in the resource requirement table. The on-site mining personnel can enter the corresponding available mining resources in the editable text box by clicking on the editable text box. In this way, the efficiency of information input can be effectively improved, and the user experience of the on-site mining personnel can be improved.

[0090] S104: Determine the resource matching degree corresponding to each optional mining strategy based on the available mining resources corresponding to each optional mining strategy, and determine a target mining strategy from at least one optional mining strategy based on the resource matching degree corresponding to each optional mining strategy.

[0091] In this embodiment, after receiving the available mining resources corresponding to each optional mining strategy fed back by the target terminal, the cloud platform calculates the resource matching degree of each optional mining strategy to determine whether the available mining resources can support the smooth implementation of the optional mining strategy.

[0092] In a specific implementation, the step of determining the resource matching degree corresponding to each optional mining strategy based on the available mining resources corresponding to each optional mining strategy in S104 may specifically include the following sub-steps:

[0093] S104-1: For any optional mining strategy, determine a first matching degree between equipment requirement resources corresponding to the optional mining strategy and available equipment resources, and determine a second matching degree between personnel requirement resources corresponding to the optional mining strategy and available personnel resources.

[0094] In this embodiment, the cloud platform will calculate the first matching degree between the equipment demand resources and the available equipment resources and the second matching degree between the personnel demand resources and the available personnel resources from the equipment dimension and the personnel dimension respectively.

[0095] In a specific implementation, when the equipment demand resources include a variety of mining equipment, the equipment satisfaction ratio between the number of available equipment and the number of required equipment for each mining equipment can be calculated first, and then the first matching degree between the equipment demand resources and the available equipment resources can be determined based on the equipment satisfaction ratios of the various mining equipment; when the personnel demand resources include the mining personnel required by each of the various mining equipment, the personnel satisfaction ratio between the number of available personnel and the number of required personnel for each of the mining equipment can be calculated first, and then the second matching degree between the personnel demand resources and the available personnel resources can be determined based on the personnel satisfaction ratios of the various mining equipment. It should be noted that different professional equipment usually requires professional operators to operate, so the accuracy of the second matching degree can be improved by calculating the personnel satisfaction ratio of each mining equipment.

[0096] S104-2: Determine the resource matching degree corresponding to the optional mining strategy based on the first matching degree and the second matching degree.

[0097] In this embodiment, the cloud platform can achieve accurate calculation of the resource matching degree corresponding to the optional mining strategy by comprehensively considering the first matching degree and the second matching degree of each optional mining strategy.

[0098] In a specific implementation, corresponding weights may be set for the first matching degree and the second matching degree, that is, a first weight may be set for the first matching degree and a second weight may be set for the second matching degree. In this way, the cloud platform may determine the resource matching degree corresponding to each optional mining strategy according to the first matching degree, the second matching degree, the first weight and the second weight. For example, considering that the importance of mining equipment is usually higher than the number of operators, the first weight may be set to be greater than the second weight.

[0099] In this embodiment, after determining the resource matching degree corresponding to each optional mining strategy, in order to select a suitable target mining strategy from at least one optional mining strategy, the step of determining the target mining strategy from at least one optional mining strategy based on the resource matching degree corresponding to each optional mining strategy in S104 may specifically include the following sub-steps:

[0100] S104-3: Determine the highest resource matching degree among the resource matching degrees corresponding to various optional mining strategies.

[0101] It should be noted that the higher the resource matching degree, the more the available mining resources at the mining site can support the execution of the optional mining strategy corresponding to the resource matching degree. In an ideal situation, the highest resource matching degree can reach a setting of more than 100%, where more than 100% indicates that there is a surplus of available mining resources at the mining site.

[0102] S104-4: When the highest resource matching degree is greater than or equal to the matching degree threshold, the optional mining strategy corresponding to the highest resource matching degree is determined as the target mining strategy.

[0103] In this embodiment, in order to ensure the reliability of the target mining strategy, a matching threshold is set, and only when it is detected that the highest resource matching degree is greater than or equal to the matching threshold, the optional mining strategy corresponding to the highest resource matching degree is determined as the target mining strategy.

[0104] It should be noted that if there are multiple optional mining strategies corresponding to the highest resource matching degree, one optional mining strategy can be randomly selected as the target mining strategy, or the second optional mining strategy with a higher matching degree can be determined as the target mining strategy. That is, when there are sufficient available personnel resources, mining efficiency can be improved by optimizing scheduling.

[0105] S105: Determine the mining resource influencing factors based on the available mining resources corresponding to the target mining strategy, and obtain the multi-dimensional evaluation influencing factors based on the geological evaluation influencing factors and the mining resource influencing factors.

[0106] In this embodiment, after determining the target mining strategy, the cloud platform can determine the corresponding mining resource influencing factors according to the available mining resources that can be provided by the mining site for the target mining strategy.

[0107] In this embodiment, different available equipment resources and available personnel resources will be used under different target mining strategies, thereby generating different production costs. At the same time, different mining types have different degrees of impact on the environment. For example, longwall comprehensive mining may cause surface subsidence, cracks and other problems, affecting nearby buildings and the ecological environment. The coal pillar space generated by room-and-pillar mining may cause surface subsidence and affect soil and vegetation. Therefore, the mining resource influencing factors may specifically include cost influencing factors and environmental influencing factors. Among them, the cost influencing factors can be specifically determined based on equipment investment, operating costs and employee wages, and the environmental influencing factors can be determined based on the mining type, and different mining types correspond to different environmental influencing factors.

[0108] In this embodiment, by comprehensively considering geological assessment influencing factors and mining resource influencing factors, multidimensional assessment influencing factors including geological structure factors, coal seam quality factors, coal seam stability factors, roof and floor stability factors, gas content factors, cost influencing factors and environmental influencing factors can be obtained. Based on the multidimensional assessment influencing factors, a comprehensive assessment of the target thin coal seam working face can be achieved from various dimensions.

[0109] S106: Determine the mining assessment result of the target thin coal seam working face based on the multi-dimensional assessment influencing factors and the preset weight matrix.

[0110] In this embodiment, taking into account the different influencing factors and the different degrees of influence on the mining of thin coal seam working faces, weight factors will be assigned to each factor in the multidimensional evaluation influencing factor, thereby obtaining a weight matrix corresponding to the multidimensional evaluation influencing factor.

[0111] Specifically, the weight matrix includes a first weight factor for geological structure factors, a second weight factor for coal seam quality factors, a third weight factor for coal seam stability factors, a fourth weight factor for roof and floor stability factors, a fifth weight factor for gas content factors, a sixth weight factor for cost impact factors and a seventh weight factor for environmental impact factors.

[0112] In this embodiment, by setting a weight matrix for the multi-dimensional evaluation influencing factors, the accuracy and reliability of the mining evaluation results can be improved.

[0113] In this embodiment, in order to improve the flexibility and reliability of the weight matrix, a suitable weight matrix can also be determined according to the optional mining type in the target mining strategy. In other words, different optional mining types correspond to different weight matrices. In this way, by further considering the different degrees of influence of different mining types on the multidimensional evaluation influencing factors, the accuracy of the mining evaluation results can be further improved.

[0114] In a specific implementation, S106 may specifically include the following sub-steps:

[0115] S106-1: Determine weighted feature data based on multi-dimensional evaluation impact factors and weight matrix.

[0116] In this embodiment, the cloud platform will determine the weighted data corresponding to any factor in the multidimensional evaluation influencing factors according to the factor and the corresponding weight factor. By weighting each factor, the weighted feature data corresponding to the multidimensional evaluation influencing factors can be obtained.

[0117] S106-2: Input the weighted feature data into a preset evaluation model, and output a comprehensive evaluation score for the target thin coal seam working face.

[0118] In a specific implementation, the evaluation model may be a mathematical model. For example, the evaluation model may be constructed by using the Analytic Hierarchy Process (AHP), and the comprehensive evaluation score of the target thin coal seam working face may be calculated by inputting weighted feature data into the evaluation model.

[0119] In a specific implementation, the evaluation model can be a neural network model, and by inputting weighted feature data into the evaluation model, the comprehensive evaluation score of the target thin coal seam working face can be predicted. Among them, the evaluation model can be trained based on the sample weighted feature data of the sample thin coal seam working face. Specifically, the evaluation model can be trained in the following way: obtain the original sample data set of the sample thin coal seam working face, the original sample data set contains multiple sample multidimensional evaluation influencing factors, and each sample multidimensional evaluation influencing factor contains a corresponding scoring label; based on the original sample data set and the weight matrix, obtain a weighted sample data set containing multiple sample weighted feature data; use the weighted sample data set to train the initial evaluation model to obtain the predicted score output by the initial evaluation model; then calculate the loss function value based on the predicted score and the corresponding scoring label, and iteratively update the network parameters of the initial evaluation model according to the loss function value until the initial evaluation model meets the preset training cutoff condition to obtain the evaluation model.

[0120] S106-3: Based on the comprehensive evaluation score, determine the mining evaluation results of the target thin coal seam working face.

[0121] In this embodiment, after the comprehensive evaluation score of the target thin coal seam working face is determined, the mining evaluation result of the target thin coal seam working face can be determined according to the score interval to which the comprehensive evaluation score belongs.

[0122] In one example, the mining assessment result may specifically include five mining assessment levels, 1 to 5. Specifically, when the comprehensive assessment score is less than 50, the mining assessment level is determined to be 1, indicating that the mining conditions are poor; when the comprehensive assessment score is between [50, 60), the mining assessment level is determined to be 2, indicating that the mining conditions are poor; when the comprehensive assessment score is between [60, 70), the mining assessment level is determined to be 3, indicating that the mining conditions are average; when the comprehensive assessment score is between [70, 80), the mining assessment level is determined to be 4, indicating that the mining conditions are good; when the comprehensive assessment score is ≥80, the mining assessment level is determined to be 5, indicating that the mining conditions are good.

[0123] In this embodiment, on the one hand, by utilizing the cloud platform, based on the geological exploration information of the target thin coal seam working face uploaded by the target terminal, at least one optional mining strategy is issued to the target terminal, and based on the available mining resources corresponding to each optional mining strategy fed back by the target terminal, a target mining strategy that can be achieved at the mining site is determined in at least one optional mining strategy, and the target mining strategy can provide equipment guidance and personnel guidance for on-site mining; on the other hand, based on the geological assessment influencing factors of the target thin coal seam working face, the mining resource influencing factors are further comprehensively considered, so as to achieve a comprehensive and accurate assessment of the target thin coal seam working face, and then according to the mining assessment results, accurate and effective mining guidance opinions can be provided to the mining site, thereby improving the mining efficiency and mining effect of the target thin coal seam working face.

[0124] In a feasible implementation, considering that when the available mining resources at the mining site are small, it may not be possible to support any optional mining strategy. Therefore, in order to guide the mining personnel to supplement resources, the comprehensive assessment method of geological conditions for mining in a thin coal seam working face may also include the following steps:

[0125] S201: When the highest resource matching degree is less than a matching degree threshold, determine resource supplementary information.

[0126] In this embodiment, if the cloud platform detects that the highest resource matching degree is less than the matching degree threshold, it means that the available mining resources at the mining site cannot meet the required resources of any optional mining strategy. At this time, in order to ensure the smooth implementation of the on-site mining, the cloud platform will determine the resource supplement information. The resource supplement information is used to indicate the equipment resources and / or personnel resources that need to be supplemented.

[0127] In a specific implementation, S201 may include the following sub-steps:

[0128] S201 - 1 : When the highest resource matching degree is less than the matching degree threshold, obtain the equipment demand resources and personnel demand resources of the optional mining strategy corresponding to the highest resource matching degree.

[0129] In this embodiment, in order to reduce the scale of resource mobilization as much as possible, the cloud platform will determine resource supplement information based on the optional mining strategy corresponding to the highest resource matching degree.

[0130] S201 - 2 : Determine equipment supplement information based on equipment demand resources and available equipment resources; and / or determine personnel supplement information based on personnel demand resources and available personnel resources.

[0131] In this embodiment, if the cloud platform detects that the available equipment resources do not meet the equipment demand resources, the equipment supplement information can be determined based on the difference in equipment resources. For example, when the equipment demand resources for the drum coal mining machine are 3 units, and the available equipment resources are only 2 units, the equipment supplement information for the drum coal mining machine can be determined to be 1 drum coal mining machine.

[0132] In this embodiment, if the cloud platform detects that the available personnel resources do not meet the personnel demand resources, the cloud platform can determine the personnel supplement information based on the difference in personnel resources. For example, if the personnel demand for three drum coal mining machines is 6 people, but the available personnel resources that can operate the drum coal mining machines are only 4 people, the personnel supplement information for the drum coal mining machines can be determined to be 2 people.

[0133] S201 - 3: Determine resource supplementary information based on the equipment supplementary information and / or personnel supplementary information.

[0134] In this embodiment, after determining the resource supplement information, the cloud platform can generate a resource supplement table according to the resource supplement information in a preset format, so that on-site mining personnel can fully and intuitively understand the resource information that needs to be supplemented.

[0135] S202: Send resource supplement information to the target terminal.

[0136] In this embodiment, by sending corresponding resource supplement information to the target terminal when the highest resource matching degree is less than the matching degree threshold, on-site mining personnel can be promptly and effectively prompted to supplement resources to ensure smooth mining of the target thin coal seam working face.

Claims

1. A method for comprehensive evaluation of geological conditions for mining in a thin coal seam working face, characterized in that: Applied to the cloud platform, the method includes: Obtaining geological exploration information and geological assessment influencing factors of the target thin coal seam working face uploaded by the target terminal; the geological assessment influencing factors include geological structure factors, coal seam quality factors, coal seam stability factors, roof and floor stability factors, and gas content factors; Determining at least one optional mining strategy based on the geological exploration information; Sending at least one of the optional mining strategies to the target terminal, so that the target terminal feeds back to the cloud platform the available mining resources corresponding to each of the optional mining strategies; the available mining resources include available equipment resources and available personnel resources; Determine the resource matching degree corresponding to each of the optional mining strategies based on the available mining resources corresponding to each of the optional mining strategies, and determine the target mining strategy in at least one of the optional mining strategies based on the resource matching degree corresponding to each of the optional mining strategies; Based on the available mining resources corresponding to the target mining strategy, the mining resource influencing factors are determined, and based on the geological assessment influencing factors and the mining resource influencing factors, the multi-dimensional assessment influencing factors are obtained; wherein the mining resource influencing factors include cost influencing factors and environmental influencing factors; the cost influencing factors are determined based on the available equipment resources and available personnel resources of the target mining strategy, and the environmental influencing factors are determined based on the mining type of the target mining strategy; Determining the mining assessment result of the target thin coal seam working face based on the multi-dimensional assessment influencing factors and the preset weight matrix; The geological exploration information includes multi-dimensional geological parameters and scale information of the target thin coal seam working face; the optional mining strategy includes optional mining types and required resources under the optional mining types; The step of determining at least one optional mining strategy based on the geological exploration information comprises: Based on the multi-dimensional geological parameters, determining at least one optional mining type from a plurality of preset mining types; Based on the scale information, determining the required resources under each of the optional mining types to obtain at least one of the optional mining strategies; the required resources represent the ideal resources required to complete the mining of the target thin coal seam working face using the optional mining type; The step of determining at least one optional mining type from a plurality of preset mining types based on the multi-dimensional geological parameters comprises: Obtain geological information parameter ranges corresponding to multiple preset mining types; For any of the preset mining types, when the multi-dimensional geological parameter is within the geological information parameter range, determining the preset mining type as the optional mining type; The required resources include equipment required resources and personnel required resources; The step of determining the resource matching degree corresponding to each of the optional mining strategies based on the available mining resources corresponding to each of the optional mining strategies comprises: For any of the optional mining strategies, determining a first degree of matching between equipment demand resources corresponding to the optional mining strategy and available equipment resources, and determining a second degree of matching between personnel demand resources corresponding to the optional mining strategy and available personnel resources; Based on the first matching degree and the second matching degree, a resource matching degree corresponding to the optional mining strategy is determined.

2. A method for comprehensive evaluation of geological conditions for thin coal seam working face mining according to claim 1, characterized in that: The multidimensional geological parameters include coal seam thickness, burial depth, coal quality characteristics, geological structure and hydrogeological characteristics; the geological information parameter range includes a first parameter range for the coal seam thickness, a second parameter range for the burial depth, a third parameter range for the coal quality characteristics, a fourth parameter range for the geological structure and a fifth parameter range for the hydrogeological characteristics; The step of determining any of the preset mining types as the optional mining type when the multi-dimensional geological parameter is within the geological information parameter range comprises: For any of the preset mining types, obtaining a first parameter range, a second parameter range, a third parameter range, a fourth parameter range and a fifth parameter range corresponding to the preset mining type; When the coal seam thickness is within the first parameter range, the burial depth is within the second parameter range, the coal quality characteristics are within the third parameter range, the geological structure is within the fourth parameter range, and the hydrogeological characteristics are within the fifth parameter range, the preset mining type is determined as the optional mining type.

3. A method for comprehensive evaluation of geological conditions for thin coal seam working face mining according to claim 1, characterized in that: The step of sending at least one of the optional mining strategies to the target terminal comprises: For any of the optional mining strategies, based on the required resources corresponding to the optional mining strategy, generating a resource requirement table corresponding to the optional mining strategy; The resource requirement table corresponding to at least one of the optional mining strategies is sent to the target terminal.

4. A method for comprehensive evaluation of geological conditions of thin coal seam working face mining according to claim 1, characterized in that: The step of determining a target mining strategy from at least one of the optional mining strategies based on the resource matching degree corresponding to each of the optional mining strategies comprises: Determine the highest resource matching degree among the resource matching degrees corresponding to the optional mining strategies; When the highest resource matching degree is greater than or equal to the matching degree threshold, the optional mining strategy corresponding to the highest resource matching degree is determined as the target mining strategy.

5. A method for comprehensive evaluation of geological conditions for thin coal seam working face mining according to claim 4, characterized in that: The method further comprises: In a case where the highest resource matching degree is less than the matching degree threshold, determining resource supplementary information; The resource supplement information is sent to the target terminal.

6. A method for comprehensive evaluation of geological conditions for thin coal seam working face mining according to claim 5, characterized in that: The step of determining resource supplementary information when the highest resource matching degree is less than the matching degree threshold comprises: When the highest resource matching degree is less than the matching degree threshold, obtaining equipment demand resources and personnel demand resources of the optional mining strategy corresponding to the highest resource matching degree; Determine equipment supplement information based on the equipment demand resources and the available equipment resources; and / or determine personnel supplement information based on the personnel demand resources and the available personnel resources; The resource supplementary information is determined based on the equipment supplementary information and / or the personnel supplementary information.

7. A method for comprehensive evaluation of geological conditions for thin coal seam working face mining according to claim 1, characterized in that: The step of determining the mining assessment result of the target thin coal seam working face based on the multi-dimensional assessment influencing factors and the preset weight matrix comprises: Determining weighted feature data based on the multidimensional evaluation impact factors and the weight matrix; Inputting the weighted characteristic data into a preset evaluation model, and outputting a comprehensive evaluation score of the target thin coal seam working face; Based on the comprehensive evaluation score, a mining evaluation result of the target thin coal seam working face is determined.

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