Rock mass structural surface rapid identification and fine characterization method

Abstract

The invention discloses a rock mass structural surface rapid identification and fine characterization method, which comprises the following steps of: finely characterizing mineral components by using weathering states of a to-be-identified mining rock stratum at different altitudes and a parameter analysis process so as to obtain safety limit thresholds of crack information of the to-be-identified mining rock stratum under the current mineral components; reliable identification of the problem rock type feature information is realized according to the comparison result of the actual crack information and the safety limit threshold value of the corresponding crack information, so that the accuracy of the identification result and the actual mineral composition is greatly improved, and the evaluation efficiency of the abnormal reason of the rock mass structural surface can be improved to the maximum extent; and meanwhile, when the problem rock type feature information abnormal oxidation fine characterization is carried out, the situation that the abnormal oxidation state and the abnormal oxidation rate possibly cause the abnormal rock mass structural surface is fully considered, so that comprehensive fine characterization is carried out from the two aspects, and the fine characterization dimension of the problem rock type feature information abnormal oxidation is more comprehensive.

Description

Technical Field

[0001] The present invention relates to the field of fine characterization of industrial rock mass structural surfaces, and in particular to a method for rapid identification and fine characterization of rock mass structural surfaces. Background Art

[0002] Rock mass structural surfaces are naturally existing weak surfaces in rock mass, such as joints, faults and fissures, which have a significant impact on the mechanical properties and stability of rock mass. In engineering projects such as tunnel excavation, mining and slope control, it is crucial to quickly and accurately identify and finely characterize rock mass structural surfaces. However, due to the complexity and invisibility of rock mass structural surfaces, traditional identification methods usually rely on geological exploration and on-site observation. Although these methods can provide intuitive information, they are inefficient and highly subjective, and it is difficult to meet the needs of modern engineering for fast and accurate analysis. Therefore, the development of automated and intelligent rock mass structural surface identification and characterization technology has become a hot topic in the field of rock engineering.

[0003] Existing rock mass structural surface identification methods can be roughly divided into two categories: one is based on manual field surveys, and the other is based on modern measurement technology. The manual survey method mainly relies on the experience of geological engineers to identify structural surfaces through geological hammering, crack mapping, etc., but this method is inefficient when facing large-scale projects and is easily affected by subjective factors. Modern measurement technologies such as 3D laser scanning and digital image processing technology can quickly obtain geometric information on the rock surface, but due to expensive equipment, large data volume, complex processing, and the need for post-processing and correction of data, its promotion in practical applications is limited. Summary of the invention

[0004] To this end, one purpose of an embodiment of the present application is to provide a method and system for rapid identification and fine characterization of rock mass structural surfaces, which can effectively solve the problems mentioned in the background technology.

[0005] The objectives of the present invention can be achieved through the following technical solutions: In the first aspect, the present invention proposes a method for rapid identification and fine characterization of rock structural surfaces, comprising the following steps: Step 101: The mined rock strata for which abnormal rock structural surface identification is to be performed are recorded as mined rock strata to be identified, and the crack information within the unit area of ​​the mined rock strata to be identified is counted, and at the same time, the associated rock type characteristic information corresponding to each crack information is retrieved from the edge computing gateway.

[0006] Step 102: rock stress monitoring units and spatial distribution parameter monitoring units are respectively set inside and outside the rock formation to be identified for mining, and different types of rock monitoring sensors and parameter analysis interfaces are arranged inside the rock formation to be identified for mining.

[0007] Step 103: During the identification process of the mining rock formation to be identified, the rock stress monitoring unit and the spatial distribution parameter monitoring unit monitor the measured values ​​of each crack information corresponding to the mining rock formation to be identified during the weathering period according to the settings, and compare them with the safety limit threshold value of each crack information corresponding to the weathering period, so as to determine whether there is a rock structural surface anomaly in the mining rock formation to be identified. If it is determined that there is a rock structural surface anomaly, the abnormal data oxidation period and the crack information when the data is abnormal are identified.

[0008] Step 106: Obtain the associated rock type characteristic information corresponding to the crack information when the data is abnormal based on the crack information when the data is abnormal, record it as the problem rock type characteristic information, and at the same time obtain the oxidation rate and rock mass oxidation state process of the problem rock type characteristic information.

[0009] Step 107: Analyze the oxidation rate and rock mass oxidation state process corresponding to the characteristic information of the problematic rock type, evaluate the data anomaly cause of the crack information when the data is abnormal, and generate a mining rock safety node.

[0010] In an achievable manner of the first aspect of the present invention, the weathering state includes the intersection angle of rock structure surfaces and weathering environment control, and the parameter analysis process includes element identification, rock vegetation identification and climate change cycle analysis.

[0011] In one possible implementation of the first aspect of the present invention, the fine characterization of the mineral composition of the to-be-identified mining rock formation at different altitudes during the weathering cycle specifically comprises the following steps:

[0012] Step 201: Perform mechanical analysis on the abnormal external force corresponding to the displacement state of the mining stratum to be identified, and then determine the position of the abnormal external force in the displacement state from the deformation.

[0013] Step 202: obtaining the correlation between the weathering environment control in the weathering cycle and the abnormal external force position in the displacement state at different altitudes of the mining stratum to be identified, and recording it as a correlation factor;

[0014] Step 203: Substitute the intersection angle and correlation factor of the rock mass structural plane at different altitudes in the weathering cycle of the rock layer to be identified into the formula

[0015]

[0016] Among them, J D represents the degree of rock mass cracks, S represents the correlation factor, i represents abnormal external force, d represents the total number of external forces, represents the intersection angle of rock mass structural planes, σ, λ, ξ represent the factors affecting different parameters at different altitudes, Sry, Sri, Sra represent weathering cycle, rock mass vegetation identification characteristics, and rock mass shape variables, respectively;

[0017] Step 204: Compare the parameter analysis process of the to-be-identified mining rock layer at different altitudes during the weathering cycle with the parameter analysis process of the to-be-identified mining rock layer in the normal oxidation state in the edge computing gateway, and calculate the external environment interference degree of the to-be-identified mining rock layer at different altitudes during the weathering cycle. The calculation formula is:

[0018] Among them, W l represents the external environment interference, Y represents the environmental change factor, B represents the environmental stability constant, F represents the correctness of the parameter analysis process, j1 represents the element identification matrix, j2 represents the rock vegetation identification matrix, and j3 represents the climate change cycle analysis matrix.

[0019] Step 205: Substitute the sum into the formula V represents the weight matrix of different mineral components, which calculates the mineral composition of the rock layer to be identified and mined at different altitudes during the weathering cycle.

[0020] In a method that can be implemented in the first aspect of the present invention, the specific method for determining the safety limit threshold of each crack information corresponding to the weathering cycle of the rock formation to be identified for mining is as follows: Step 301: Extract the required mineral composition of the rock formation to be identified for mining under the rated crack state from the edge computing gateway, and compare it with the mineral composition of the rock formation to be identified for mining in the weathering cycle, and calculate the mineral composition error of the rock formation to be identified for mining in the weathering cycle.

[0021] Step 302: Obtain the error level of the mineral composition of the to-be-identified mining stratum during the weathering period according to the error amount of the mineral composition of the to-be-identified mining stratum during the weathering period.

[0022] Step 303: Match the mineral composition error level of the to-be-identified mining stratum during the weathering cycle with the safety limit threshold of each crack information in the edge computing gateway at each mineral composition error level, thereby matching the safety limit threshold of each crack information corresponding to the to-be-identified mining stratum during the weathering cycle.

[0023] In a method that can be implemented in the first aspect of the present invention, it is determined whether there is a rock structural surface anomaly in the rock formation to be identified for mining. If it is determined that there is a rock structural surface anomaly, the execution steps corresponding to the abnormal data oxidation period and the crack information during the data anomaly are as follows: Step 401: Extract the rated value of each crack information corresponding to the rock formation to be identified for mining from the edge computing gateway, and then compare the measured value of each crack information corresponding to the weathering cycle of the rock formation to be identified for mining with the safety limit threshold of each crack information corresponding to the weathering cycle of the rock formation to be identified for mining.

[0024] Step 402: Compare the variance of each crack information corresponding to the weathering cycle to be identified and mined rock formation with the set allowable variance of each crack information. If the variance of a certain crack information corresponding to the weathering cycle to be identified and mined rock formation is greater than the allowable variance of the crack information, it is determined that there is a rock structure surface anomaly in the to-be-identified and mined rock formation, and the weathering cycle is recorded as the data anomaly oxidation period, and the crack information is recorded as the crack information when the data is abnormal.

[0025] In an achievable manner of the first aspect of the present invention, the specific method for obtaining the oxidation rate and rock oxidation state process of the problem rock type characteristic information is as follows: Step 501: Utilize the parameter analysis interface set inside the rock formation to be identified for mining to collect the rock oxidation state process of the rock formation to be identified for mining during the data abnormal oxidation period, and extract the automatic oxidation steps and rock landslide information corresponding to the problem rock type characteristic information, thereby evaluating the rock oxidation state process of the rock formation to be identified for mining according to the rock landslide information corresponding to the problem rock type characteristic information, and obtaining the rock oxidation state process corresponding to the problem rock type characteristic information.

[0026] Step 502: Utilize different types of rock mass monitoring sensors installed inside the rock formation to be identified for mining to collect the weathering process of the engine room of the rock formation to be identified for mining during the abnormal oxidation period of the data, and locate the weathering process at the altitude where the characteristic information of the problem rock type is located based on the automatic oxidation step corresponding to the characteristic information of the problem rock type, thereby extracting the temperature change cycle at the altitude where the characteristic information of the problem rock type is located from the weathering process.

[0027] Step 503: Match the temperature change cycle at the altitude where the characteristic information of the problematic rock type is located with the steps corresponding to various temperature change cycles in the remote control cloud, and then use the successfully matched steps as the oxidation rate corresponding to the characteristic information of the problematic rock type.

[0028] In an achievable method of the first aspect of the present invention, the cause of the data anomaly of the crack information when the evaluation data is abnormal is specifically referred to the following steps: Step 601: Compare the rock oxidation state process corresponding to the problem rock type characteristic information with the normal rock oxidation state process corresponding to the problem rock type characteristic information in the edge computing gateway to identify whether there is an abnormality. If there is an abnormality, the cause of the data anomaly of the crack information when the evaluation data is abnormal is that the oxidation state of the problem rock type characteristic information is abnormal.

[0029] Step 602: Compare the oxidation rate corresponding to the problem rock type characteristic information with the suitable oxidation rate range corresponding to the problem rock type characteristic information in the edge computing gateway. If the oxidation rate corresponding to the problem rock type characteristic information is not within the suitable oxidation rate range, the data anomaly cause of the crack information during the evaluation of data anomaly is that the oxidation rate of the problem rock type characteristic information is abnormal.

[0030] In an achievable method of the first aspect of the present invention, step 106: also includes intelligently arranging the detailed characterization steps of each problem rock type characteristic information when the number of problem rock type characteristic information is more than one, and the specific arrangement method is as follows: step 701: extracting the criticality of each problem rock type characteristic information in the cracking process from the edge computing gateway based on the name of the problem rock type characteristic information.

[0031] Step 702: Based on the name of the problematic rock type characteristic information, identify the crack information associated with the problematic rock type characteristic information from the associated rock type characteristic information corresponding to each crack information, and record it as .

[0032] Step 703: Calculate the oxidation steps corresponding to the characteristic information of each problematic rock type.

[0033] Step 704: Evaluate the characteristic information of each problematic rock type in the order of oxidation steps from first to last, and obtain a detailed characterization step of the characteristic information of each problematic rock type.

[0034] Beneficial effects:

[0035] The present invention proposes a method for rapid identification and fine characterization of rock mass structural surfaces. The present invention uses the weathering state and parameter analysis process of the different altitudes of the rock formation to be identified and mined to finely characterize the mineral composition, and thereby obtains the safety limit threshold of each crack information of the rock formation to be identified and mined under the current mineral composition, and then realizes the accurate and reliable identification of the characteristic information of the problem rock type according to the comparison result of the actual crack information and the safety limit threshold of the corresponding crack information, greatly improves the accuracy of the identification result and the actual mineral composition, effectively avoids the occurrence of invalid fine characterization of the characteristic information of the problem rock type, and can maximize the evaluation efficiency of the abnormal cause of the rock mass structural surface. When performing the fine characterization of the abnormal oxidation of the characteristic information of the problem rock type, the present invention fully considers that both the abnormal oxidation state and the abnormal oxidation rate may cause the abnormal rock mass structural surface, and thus performs comprehensive fine characterization from the above two aspects, so that the fine characterization dimension of the abnormal oxidation of the characteristic information of the problem rock type is more comprehensive, and the expansion of the fine characterization range is realized, and the occurrence rate of the abnormal cause of the rock mass structural surface cannot be evaluated to a certain extent, so as to effectively achieve the purpose of identifying the abnormal rock mass structural surface. When the number of problem rock type characteristic information is more than one, the present invention intelligently arranges the fine characterization steps of each problem rock type characteristic information, thereby performing fine characterization of abnormal oxidation of the problem rock type characteristic information according to the arrangement order, which reduces the fine characterization time of the abnormal causes of the rock structure surface to a certain extent, further enhances the evaluation efficiency of the abnormal causes of the rock structure surface, and has certain practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0037] Figure 1 is a flow chart of the method steps of the present invention;

[0038] Figure 2 This is a diagram of the module composition of the method of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] like Figure 1 As shown, the present invention proposes a method for rapid identification and fine characterization of rock mass structural surfaces, comprising the following steps:

[0041] Step 101: The mined rock layer for which the rock structure surface anomaly identification is to be performed is recorded as the mined rock layer to be identified, and the crack information within the unit area of ​​the mined rock layer to be identified is counted, and at the same time, the associated rock type characteristic information corresponding to each crack information is retrieved from the edge computing gateway.

[0042] Step 102: rock stress monitoring units and spatial distribution parameter monitoring units are respectively set inside and outside the rock formation to be identified for mining, and different types of rock monitoring sensors and parameter analysis interfaces are arranged inside the rock formation to be identified for mining.

[0043] Step 103: In the process of identifying the mining rock layer to be identified, the weathering state and parameter analysis process of the mining rock layer to be identified at different altitudes are collected through the rock stress monitoring unit and the spatial distribution parameter monitoring unit according to the set rock stress cycle, wherein the weathering state includes the intersection angle of the rock structure surface and the weathering environment control, and the parameter analysis process includes element identification, rock vegetation identification and climate change cycle analysis, so as to finely characterize the mineral composition of the mining rock layer to be identified at different altitudes in the weathering cycle, specifically including the following steps:

[0044] Step 201: Perform mechanical analysis on the abnormal external force corresponding to the displacement state of the mining stratum to be identified, and then determine the position of the abnormal external force in the displacement state from the deformation.

[0045] Step 202: Obtain the correlation between the weathering environment control in the weathering cycle and the abnormal external force position in the displacement state according to the weathering environment control in the weathering cycle and the abnormal external force position in the displacement state at different altitudes of the mining stratum to be identified, and record it as a correlation factor.

[0046] Step 203: Substitute the intersection angle and correlation factor of the rock mass structural plane at different altitudes in the weathering cycle of the rock layer to be identified into the formula

[0047]

[0048] Among them, J D represents the degree of rock mass cracks, S represents the correlation factor, i represents abnormal external force, d represents the total number of external forces, represents the intersection angle of rock mass structural planes, σ, λ, ξ represent the factors affecting different parameters at different altitudes, Sry, Sri, Sra represent weathering cycle, rock mass vegetation identification characteristics, and rock mass shape variables, respectively;

[0049] Step 204: Compare the parameter analysis process of the to-be-identified mining rock layer at different altitudes during the weathering cycle with the parameter analysis process of the to-be-identified mining rock layer in the normal oxidation state in the edge computing gateway, and calculate the external environment interference degree of the to-be-identified mining rock layer at different altitudes during the weathering cycle. The calculation formula is:

[0050] Among them, W l represents the external environment interference, Y represents the environmental change factor, B represents the environmental stability constant, F represents the correctness of the parameter analysis process, j1 represents the element identification matrix, j2 represents the rock vegetation identification matrix, and j3 represents the climate change cycle analysis matrix.

[0051] In the above-mentioned external environment interference degree calculation formula, the greater the difference between the element identification and rock vegetation identification of the rock strata to be identified and mined at different altitudes in a certain weathering cycle and the element identification and rock vegetation identification of the rock strata to be identified and mined in a normal oxidation state, the greater the external environment interference degree of the rock strata to be identified and mined at different altitudes in this weathering cycle.

[0052] Step 205: Substitute the sum into the formula V represents the weight matrix of different mineral components, which calculates the mineral composition of the rock layer to be identified and mined at different altitudes during the weathering cycle.

[0053] Step 104: Utilize the mineral composition of the rock formation to be identified and mined at different altitudes during the weathering cycle to calculate the safety limit threshold corresponding to each crack information of the rock formation to be identified and mined during the weathering cycle. The specific determination method is as follows: Step 301: Extract the required mineral composition of the rock formation to be identified and mined under the rated crack state from the edge computing gateway, and compare it with the mineral composition of the rock formation to be identified and mined during the weathering cycle, and calculate the error amount of the mineral composition of the rock formation to be identified and mined during the weathering cycle.

[0054] Step 302: Obtain the mineral composition error level of the to-be-identified mined rock stratum during the weathering cycle according to the mineral composition error of the to-be-identified mined rock stratum during the weathering cycle, by matching the mineral composition error of the to-be-identified mined rock stratum during the weathering cycle with the mineral composition error range corresponding to each set mineral composition error level, thereby matching the mineral composition error level of the to-be-identified mined rock stratum during the weathering cycle.

[0055] Step 303: Match the mineral composition error level of the to-be-identified mining stratum during the weathering cycle with the safety limit threshold of each crack information in the edge computing gateway at each mineral composition error level, thereby matching the safety limit threshold of each crack information corresponding to the to-be-identified mining stratum during the weathering cycle.

[0056] Step 105: monitor the measured values ​​of each crack information corresponding to the to-be-identified mining rock formation during the weathering period, and compare it with the safety limit threshold of each crack information corresponding to the weathering period, so as to determine whether there is an abnormal rock structure surface in the to-be-identified mining rock formation. If it is determined that there is an abnormal rock structure surface, identify the abnormal data oxidation period and the crack information when the data is abnormal. The specific execution steps are as follows:

[0057] Step 401: extract the rated value of each crack information corresponding to the rock formation to be identified for mining from the edge computing gateway, and then compare the measured value of each crack information corresponding to the rock formation to be identified for mining during the weathering cycle with the safety limit threshold of each crack information corresponding to the rock formation to be identified for mining during the weathering cycle.

[0058] Step 402: Compare the variance of each crack information corresponding to the weathering cycle to be identified and mined rock formation with the set allowable variance of each crack information. If the variance of a certain crack information corresponding to the weathering cycle to be identified and mined rock formation is greater than the allowable variance of the crack information, it is determined that there is a rock structure surface anomaly in the to-be-identified and mined rock formation, and the weathering cycle is recorded as the data anomaly oxidation period, and the crack information is recorded as the crack information when the data is abnormal.

[0059] Step 106: Extract the associated rock type characteristic information corresponding to the crack information when the data is abnormal from the associated rock type characteristic information corresponding to each crack information according to the crack information when the data is abnormal, record it as the problem rock type characteristic information, and at the same time obtain the oxidation rate and rock mass oxidation state process of the problem rock type characteristic information.

[0060] The present invention described above utilizes the weathering state of the to-be-identified mining rock formation at different altitudes and the parameter analysis process to finely characterize the mineral composition, and thereby obtains the safety limit threshold of each crack information of the to-be-identified mining rock formation under the current mineral composition, and then realizes accurate and reliable identification of the characteristic information of the problem rock type based on the comparison result of the actual crack information and the safety limit threshold of the corresponding crack information, greatly improves the accuracy of the identification result and the actual mineral composition, effectively avoids the occurrence of invalid and fine characterization of the characteristic information of the problem rock type, and can maximize the efficiency of evaluating the causes of abnormal rock structural surfaces.

[0061] As a preferred embodiment of the present invention, the specific method for obtaining the oxidation rate and rock mass oxidation state flow of the characteristic information of the problematic rock type is as follows:

[0062] Step 501: Utilize the parameter analysis interface set inside the to-be-identified mining formation to collect the rock oxidation state process of the to-be-identified mining formation during the data abnormal oxidation period, and extract the automatic oxidation steps and rock landslide information corresponding to the characteristic information of the problem rock type, thereby evaluating the rock oxidation state process of the to-be-identified mining formation according to the rock landslide information corresponding to the characteristic information of the problem rock type, and obtaining the rock oxidation state process corresponding to the characteristic information of the problem rock type.

[0063] Step 502: Utilize different types of rock mass monitoring sensors installed in the engine room of the rock formation to be identified for mining to collect the weathering process of the engine room of the rock formation to be identified during the abnormal oxidation period of the data, and locate the weathering process at the altitude where the characteristic information of the problem rock type is located based on the automatic oxidation step corresponding to the characteristic information of the problem rock type, thereby extracting the temperature change cycle at the altitude where the characteristic information of the problem rock type is located from the weathering process.

[0064] Step 503: Match the temperature change cycle at the altitude where the characteristic information of the problematic rock type is located with the steps corresponding to various temperature change cycles in the remote control cloud, and then use the successfully matched steps as the oxidation rate corresponding to the characteristic information of the problematic rock type.

[0065] As another preferred embodiment of the present invention, when the number of problem rock type characteristic information is more than one, the detailed characterization steps of each problem rock type characteristic information are intelligently arranged, and the specific arrangement method is as follows: Step 701: Based on the name of the problem rock type characteristic information, the criticality of each problem rock type characteristic information in the fracture process is extracted from the edge computing gateway.

[0066] Step 702: Based on the name of the problematic rock type characteristic information, identify the crack information associated with the problematic rock type characteristic information from the associated rock type characteristic information corresponding to each crack information, and record it as .

[0067] Step 703: Calculate the oxidation steps corresponding to the characteristic information of each problematic rock type.

[0068] Step 704: Evaluate the characteristic information of each problematic rock type in the order of oxidation steps from first to last, and obtain a detailed characterization step of the characteristic information of each problematic rock type.

[0069] When the number of problem rock type characteristic information is more than one, the present invention intelligently arranges the fine characterization steps of each problem rock type characteristic information, thereby performing fine characterization of abnormal oxidation of the problem rock type characteristic information according to the arrangement order, which reduces the fine characterization time of the abnormal causes of the rock structure surface to a certain extent, further enhances the evaluation efficiency of the abnormal causes of the rock structure surface, and has certain practical value.

[0070] Step 107: Analyze the oxidation rate and rock mass oxidation state process corresponding to the characteristic information of the problematic rock type, evaluate the data anomaly cause of the crack information when the data is abnormal, and generate a mining rock safety node.

[0071] The reasons for the abnormal data in the crack information when evaluating the abnormal data are specifically described in the following steps:

[0072] Step 601: Compare the rock oxidation state process corresponding to the problematic rock type characteristic information with the normal rock oxidation state process corresponding to the problematic rock type characteristic information in the edge computing gateway to identify whether there is an anomaly. If there is an anomaly, the cause of the data anomaly of the crack information during the data anomaly assessment is that the oxidation state of the problematic rock type characteristic information is abnormal.

[0073] Step 602: Compare the oxidation rate corresponding to the problem rock type characteristic information with the suitable oxidation rate range corresponding to the problem rock type characteristic information in the edge computing gateway. If the oxidation rate corresponding to the problem rock type characteristic information is not within the suitable oxidation rate range, the data anomaly cause of the crack information during the evaluation of data anomaly is that the oxidation rate of the problem rock type characteristic information is abnormal.

[0074] When performing fine characterization of abnormal oxidation of characteristic information of problematic rock types, the present invention fully considers that both abnormal oxidation state and abnormal oxidation rate may cause abnormal rock structural surfaces. Therefore, comprehensive and fine characterization is performed from the above two aspects, making the fine characterization dimension of abnormal oxidation of characteristic information of problematic rock types more comprehensive, realizing the expansion of the scope of fine characterization, and reducing the occurrence rate of failure to assess the cause of abnormal rock structural surfaces to a certain extent, thereby effectively achieving the purpose of identifying abnormal rock structural surfaces.

[0075] like Figure 2 As shown, the present invention provides a method for rapid identification and fine characterization of rock mass structural surfaces, which is achieved through the following units:

[0076] The unit for statistically acquiring characteristic information of rock types associated with crack information is connected to the edge computing gateway, and is used to record the mined rock strata for which abnormalities in the rock structure surface are to be identified as mined rock strata to be identified, and to count the crack information within the unit area of ​​the mined rock strata to be identified, and at the same time retrieve the associated rock type characteristic information corresponding to each crack information from the edge computing gateway.

[0077] The rock mass setting unit for monitoring the rock formation to be identified for mining is used to set up rock stress monitoring units and spatial distribution parameter monitoring units inside and outside the rock formation to be identified for mining, and to arrange different types of rock mass monitoring sensors and parameter analysis interfaces inside the rock formation to be identified for mining.

[0078] The mineral composition monitoring and fine characterization unit is connected to the rock setting unit for monitoring the rock formation to be identified and the edge computing gateway respectively. It is used to collect the weathering state and parameter analysis process of the rock formation to be identified at different altitudes according to the set rock stress cycle through the rock stress monitoring unit and the spatial distribution parameter monitoring unit during the identification process of the rock formation to be identified, so as to finely characterize the mineral composition of the rock formation to be identified at different altitudes in the weathering cycle.

[0079] The normal crack information calculation unit of the rock stratum to be identified for mining is connected to the mineral composition monitoring fine characterization unit and the edge computing gateway respectively, and is used to calculate the safety limit threshold value of each crack information of the rock stratum to be identified for mining in the weathering cycle according to the mineral composition of the rock stratum to be identified at different altitudes in the weathering cycle.

[0080] The edge computing gateway is used to store the associated rock type characteristic information corresponding to each crack information, store the parameter analysis process of the rock formation to be identified for mining in a normal oxidation state, store the required mineral composition of the rock formation to be identified for mining in a rated crack state, store the rated value of each crack information corresponding to the rock formation to be identified for mining and the safety limit threshold of each crack information under each mineral composition error level, and store the normal rock oxidation state process, suitable oxidation rate range and its corresponding criticality corresponding to each rock type characteristic information in the rock formation to be identified for mining.

[0081] The remote control cloud is connected to the oxidation information acquisition unit of the characteristic information of the problem rock type, and is used to store the steps corresponding to various temperature change cycles.

[0082] The unit for determining the abnormality of the rock structure surface of the rock formation to be identified for mining is connected to the unit for calculating the normal crack information of the rock formation to be identified for mining, and is used to monitor the measured values ​​of each crack information corresponding to the rock formation to be identified for mining during the weathering cycle, and compare it with the safety limit threshold value of each crack information corresponding to the weathering cycle, so as to determine whether there is an abnormality in the rock structure surface of the rock formation to be identified for mining; if it is determined that there is an abnormality in the rock structure surface, the abnormal oxidation period of the data and the crack information when the data is abnormal are identified.

[0083] The problem rock type characteristic information oxidation information acquisition unit is respectively connected to the rock type characteristic information statistical acquisition unit associated with the crack information, the rock mass monitoring setting unit for the to-be-identified mining rock formation and the rock mass structural surface anomaly determination unit for the to-be-identified mining rock formation, and is used to obtain the associated rock type characteristic information corresponding to the crack information when the data is abnormal based on the crack information when the data is abnormal, record it as the problem rock type characteristic information, and at the same time obtain the oxidation rate of the problem rock type characteristic information and the rock mass oxidation state process.

[0084] The evaluation and display terminal for the cause of missing crack information when data is abnormal is connected to the problem rock type characteristic information oxidation information acquisition unit and the edge computing gateway respectively, and is used to analyze the oxidation rate and rock oxidation state process corresponding to the problem rock type characteristic information, evaluate the cause of data abnormality of crack information when data is abnormal, and generate a mining rock safety node for the cause of data abnormality of crack information when data is abnormal.

[0085] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A method for rapid identification and fine characterization of rock mass structural surfaces, characterized in that: The following steps are involved: Step 101: The mining stratum to be subjected to rock mass structural surface abnormality identification is recorded as the mining stratum to be identified, and the crack information within the unit area of ​​the mining stratum to be identified is counted, and the associated rock type feature information corresponding to each crack information is retrieved from the edge computing gateway; Step 102: setting a rock stress monitoring unit and a spatial distribution parameter monitoring unit inside and outside the to-be-identified mining rock formation, respectively, and arranging different types of rock monitoring sensors and parameter analysis interfaces inside the to-be-identified mining rock formation; Step 103: In the process of identifying the mining rock layer to be identified, the rock stress monitoring unit and the spatial distribution parameter monitoring unit collect the weathering state and parameter analysis process of the mining rock layer to be identified at different altitudes according to the set rock stress cycle, so as to finely characterize the mineral composition of the mining rock layer to be identified at different altitudes in the weathering cycle; Step 104: Calculate the safety limit threshold of each crack information of the to-be-identified mining stratum in the weathering cycle using the mineral composition of the to-be-identified mining stratum at different altitudes in the weathering cycle; Step 105: monitoring the measured values ​​of each crack information corresponding to the to-be-identified mining rock formation during the weathering period, and comparing it with the safety limit threshold of each crack information corresponding to the weathering period, so as to determine whether there is an abnormal rock structure surface in the to-be-identified mining rock formation; if it is determined that there is an abnormal rock structure surface, identifying the abnormal data oxidation period and the crack information when the data is abnormal; Step 106: obtaining the associated rock type characteristic information corresponding to the crack information when the data is abnormal according to the crack information when the data is abnormal, recording it as the problem rock type characteristic information, and at the same time obtaining the oxidation rate and rock mass oxidation state process of the problem rock type characteristic information; Step 107: Analyze the oxidation rate and rock mass oxidation state process corresponding to the characteristic information of the problematic rock type, evaluate the data anomaly cause of the crack information when the data is abnormal, and generate a mining rock safety node.

2. A method for rapid identification and fine characterization of rock mass structural surfaces according to claim 1, characterized in that: The weathering state includes the intersection angle of rock mass structural surfaces and weathering environment control, and the parameter analysis process includes element identification, rock mass vegetation identification and climate change cycle analysis.

3. A method for rapid identification and fine characterization of rock mass structural surfaces according to claim 2, characterized in that: The detailed characterization of the mineral composition of the rock formation to be identified and mined at different altitudes during the weathering cycle specifically includes the following steps: Step 201: Perform mechanical analysis on the abnormal external force corresponding to the displacement state of the mining stratum to be identified, and then determine the position of the abnormal external force in the displacement state from the deformation; Step 202: obtaining the correlation between the weathering environment control in the weathering cycle and the abnormal external force position in the displacement state at different altitudes of the mining stratum to be identified, and recording it as a correlation factor; Step 203: Substitute the intersection angle and correlation factor of the rock mass structural plane at different altitudes in the weathering cycle of the rock layer to be identified into the formula Among them, J D represents the degree of rock mass cracks, S represents the correlation factor, i represents abnormal external force, d represents the total number of external forces, represents the intersection angle of rock mass structural planes, σ, λ, ξ represent the factors affecting different parameters at different altitudes, Sry, Sri, Sra represent weathering cycle, rock mass vegetation identification characteristics, and rock mass shape variables, respectively; Step 204: Compare the parameter analysis process of the to-be-identified mining rock layer at different altitudes during the weathering cycle with the parameter analysis process of the to-be-identified mining rock layer in the normal oxidation state in the edge computing gateway, and calculate the external environment interference degree of the to-be-identified mining rock layer at different altitudes during the weathering cycle. The calculation formula is: Among them, W l represents the external environment interference, Y represents the environmental change factor, B represents the environmental stability constant, F represents the correctness of the parameter analysis process, j1 represents the element identification matrix, j2 represents the rock vegetation identification matrix, and j3 represents the climate change cycle analysis matrix. Step 205: Substitute the sum into the formula V represents the weight matrix of different mineral components, which calculates the mineral composition of the rock layer to be identified and mined at different altitudes during the weathering cycle.

4. A method for rapid identification and fine characterization of rock mass structural surfaces according to claim 3, characterized in that: The specific method for calculating the safety limit threshold of each crack information corresponding to the weathering cycle of the rock layer to be identified for mining is as follows: Step 301: extracting the required mineral composition of the mining rock formation to be identified under the rated fracture state from the edge computing gateway, and comparing it with the mineral composition of the mining rock formation to be identified in the weathering cycle, and calculating the mineral composition error of the mining rock formation to be identified in the weathering cycle; Step 302: obtaining the error level of the mineral composition of the to-be-identified mining stratum during the weathering period according to the error amount of the mineral composition of the to-be-identified mining stratum during the weathering period; Step 303: Match the mineral composition error level of the to-be-identified mining stratum during the weathering cycle with the safety limit threshold of each crack information in the edge computing gateway at each mineral composition error level, thereby matching the safety limit threshold of each crack information corresponding to the to-be-identified mining stratum during the weathering cycle.

5. A method for rapid identification and fine characterization of rock mass structural surfaces according to claim 4, characterized in that: The determination of whether there is an abnormal rock structure surface in the rock formation to be identified for mining, if it is determined that there is an abnormal rock structure surface, the steps corresponding to the abnormal data oxidation period and the crack information when the data is abnormal are as follows: Step 401: extracting the rated value of each crack information corresponding to the to-be-identified mining rock formation from the edge computing gateway, and then comparing the measured value of each crack information corresponding to the to-be-identified mining rock formation during the weathering cycle with the safety limit threshold of each crack information corresponding to the to-be-identified mining rock formation during the weathering cycle, and calculating the variance of each crack information corresponding to the to-be-identified mining rock formation during the weathering cycle; Step 402: Compare the variance of each crack information corresponding to the weathering cycle to be identified and mined rock formation with the set allowable variance of each crack information. If the variance of a certain crack information corresponding to the weathering cycle to be identified and mined rock formation is greater than the allowable variance of the crack information, it is determined that there is a rock structure surface anomaly in the to-be-identified and mined rock formation, and the weathering cycle is recorded as the data anomaly oxidation period, and the crack information is recorded as the crack information when the data is abnormal.

6. The method for rapid identification and fine characterization of rock mass structural surfaces according to claim 1, characterized in that: The specific method for obtaining the oxidation rate and rock mass oxidation state process of obtaining the characteristic information of the problematic rock type is as follows: Step 501: using the parameter analysis interface set inside the to-be-identified mining formation to collect the rock mass oxidation state process of the to-be-identified mining formation during the data abnormal oxidation period, and extracting the automatic oxidation steps and rock mass landslide information corresponding to the characteristic information of the problematic rock type, thereby evaluating the rock mass oxidation state process of the to-be-identified mining formation according to the rock mass landslide information corresponding to the characteristic information of the problematic rock type, and obtaining the rock mass oxidation state process corresponding to the characteristic information of the problematic rock type; Step 502: using different types of rock mass monitoring sensors set inside the to-be-identified mining formation to collect the weathering process inside the to-be-identified mining formation during the data abnormal oxidation period, and locating the weathering process at the altitude where the characteristic information of the problematic rock type is located based on the automatic oxidation step corresponding to the characteristic information of the problematic rock type, thereby extracting the temperature change cycle at the altitude where the characteristic information of the problematic rock type is located from the weathering process; Step 503: Match the temperature change cycle at the altitude where the characteristic information of the problematic rock type is located with the steps corresponding to various temperature change cycles in the remote control cloud, and then use the successfully matched steps as the oxidation rate corresponding to the characteristic information of the problematic rock type.

7. A method for rapid identification and fine characterization of rock mass structural surfaces according to claim 6, characterized in that: The reasons for the abnormal data of the crack information when the evaluation data is abnormal are specifically referred to the following steps: Step 601: Compare the rock mass oxidation state process corresponding to the problematic rock type characteristic information with the normal rock mass oxidation state process corresponding to the problematic rock type characteristic information in the edge computing gateway to identify whether there is an abnormality. If there is an abnormality, the cause of the data abnormality of the crack information when the data is abnormal is that the oxidation state of the problematic rock type characteristic information is abnormal. Step 602: Compare the oxidation rate corresponding to the problem rock type characteristic information with the suitable oxidation rate range corresponding to the problem rock type characteristic information in the edge computing gateway. If the oxidation rate corresponding to the problem rock type characteristic information is not within the suitable oxidation rate range, the data anomaly cause of the crack information during the evaluation of data anomaly is that the oxidation rate of the problem rock type characteristic information is abnormal.

8. The method for rapid identification and fine characterization of rock mass structural surfaces according to claim 1, characterized in that: The step 106 also includes intelligently arranging the detailed characterization steps of each problematic rock type feature information when the number of problematic rock type feature information is more than one, and the specific arrangement method is as follows: Step 701: extracting the criticality of each problematic rock type characteristic information in the fracture process from the edge computing gateway based on the name of the problematic rock type characteristic information; Step 702: Based on the name of the problematic rock type characteristic information, identify the crack information associated with the problematic rock type characteristic information from the associated rock type characteristic information corresponding to each crack information; Step 703: Calculate the oxidation steps corresponding to the characteristic information of each problematic rock type; Step 704: Evaluate the characteristic information of each problematic rock type in the order of oxidation steps from first to last, and obtain a detailed characterization step of the characteristic information of each problematic rock type.

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