Method and system for analyzing factors influencing roadway deformation based on data monitoring

Abstract

The application discloses a roadway deformation influencing factor analysis method and system based on data monitoring, relates to the technical field of data processing, and evaluates the stability of roadway surrounding rock based on mining equipment operation data and supporting structure state data; evaluates the influence of adjacent roadways based on mining roadway state data; evaluates the danger of roadway deformation based on the evaluation results of the stability of roadway surrounding rock and the influence of adjacent roadways, and performs early warning of the danger of roadway deformation according to the evaluation result of the danger of roadway deformation; potential safety hazards can be found in time, and accidents such as collapse, equipment failure or supporting failure can be avoided; through real-time monitoring of the mining equipment and the state of the roadway, it can be accurately judged which areas have unstable factors, so that the mining plan can be reasonably adjusted, resource waste can be avoided, through the influence evaluation of adjacent roadways, the influence of over-mining on the surrounding environment can be avoided, the surrounding land and water sources can be protected, and sustainable and safe mining of the mine can be realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of data processing, and specifically relates to a roadway deformation influencing factor analysis method and system based on data monitoring. BACKGROUND

[0002] In the modernization process, infrastructure construction is crucial to the economy of each country. Mineral resources are important raw materials in large infrastructure construction such as highways, bridges, railways, etc., and the existence of mining provides necessary resource support for these construction projects. With the continuous deepening of mining activities, the stability of the roadway is crucial to the safety production in the mining process; in the safety production process of the mine, the stability monitoring of the roadway is the core link to prevent roof accidents and ensure the safety of mining;

[0003] The prior art mainly has the following deficiencies: first, the data collection dimension is single, most systems only focus on the independent monitoring of the support structure stress or the roadway displacement, and lack of collaborative analysis of the equipment operation condition and the surrounding rock deformation; second, the evaluation model is static, and a real-time response mechanism of the parameters cannot be established by using a dynamic control method; a global perception system covering equipment, environment and structure cannot be established, and it is difficult to meet the real-time risk early warning demand of modern mines, thereby increasing the safety risk in the mining process.

[0004] In order to solve the problems in the background art, the application designs a roadway deformation influencing factor analysis method and system based on data monitoring. SUMMARY

[0005] In view of the above technical deficiencies, the application provides a roadway deformation influencing factor analysis method and system based on data monitoring.

[0006] To solve the above technical problems, the application adopts the following technical scheme: the application provides a roadway deformation influencing factor analysis method based on data monitoring, which includes the following specific steps:

[0007] S1, obtaining mining equipment operation data, support structure state data and mining roadway state data;

[0008] S2, performing roadway surrounding rock stability evaluation based on the mining equipment operation data and the support structure state data;

[0009] S3, performing adjacent roadway influence evaluation based on the mining roadway state data;

[0010] S4, performing roadway deformation danger evaluation based on the roadway surrounding rock stability evaluation result and the adjacent roadway influence evaluation result, and performing roadway deformation danger early warning according to the roadway deformation danger evaluation result.

[0011] It should be noted that, as the preferred technical solution of the roadway deformation influencing factor analysis method based on data monitoring, the specific steps of S1 are:

[0012] S11, obtaining mining equipment operation data through a pressure sensor and an acceleration sensor, wherein the mining equipment operation data includes load data of each collection point of the roadway surrounding rock applied by the mining equipment and vibration angular frequency data of the mining equipment;

[0013] S12, obtaining support structure state data through a pressure sensor and a database, wherein the support structure state data includes external force data of each collection point of the roadway surrounding rock acting on the support structure, support structure length data and cross-sectional area data;

[0014] S13, obtaining mining roadway state data through a database, wherein the mining roadway state data includes average unit weight data of the rock stratum of the roadway surrounding rock, mining depth data and goaf width data;

[0015] S14, storing the collected data in a storage component for use in the analysis process.

[0016] It should be noted that, as the preferred technical solution of the roadway deformation influencing factor analysis method based on data monitoring, S2 includes the following specific steps:

[0017] S21, obtaining a dynamic load influence evaluation value corresponding to each collection point of the roadway surrounding rock from the load data of each collection point of the roadway surrounding rock applied by the mining equipment and the vibration angular frequency data of the mining equipment;

[0018] S22, obtaining a support structure deformation evaluation value corresponding to each collection point of the roadway surrounding rock from the external force data of each collection point of the roadway surrounding rock acting on the support structure, the support structure length data and the cross-sectional area data;

[0019] S23, obtaining a dynamic load influence evaluation value and a support structure deformation evaluation value corresponding to each collection point of the roadway surrounding rock, and obtaining a stability evaluation value corresponding to each collection point of the roadway surrounding rock by weighting and adding the dynamic load influence evaluation value and the support structure deformation evaluation value corresponding to each collection point of the roadway surrounding rock; It should be noted that the dynamic load influence evaluation value represents the equivalent dynamic load intensity of the roadway caused by the mining equipment during mining, and the support structure deformation evaluation value is a factor for analyzing whether the support structure will cause excessive deformation to affect the safety of the roadway. Therefore, by comprehensively evaluating the equivalent dynamic load intensity of the roadway caused by the mining equipment during mining and whether the support structure will cause excessive deformation, the stability of each collection point of the roadway surrounding rock is evaluated, and the accuracy of the stability evaluation value is improved;

[0020] S24, the stability evaluation value of the roadway surrounding rock is obtained by summing and averaging the stability evaluation values corresponding to each collection point of the roadway surrounding rock. It should be noted that by summing and averaging the stability evaluation values corresponding to each collection point of the roadway surrounding rock, the stability evaluation values corresponding to different collection points can be comprehensively evaluated, the stability evaluation values corresponding to each collection point are considered comprehensively, and only the stability evaluation value corresponding to a single collection point is focused on, while the stability evaluation values corresponding to other collection points are ignored, thereby improving the accuracy of the stability evaluation value of the roadway surrounding rock.

[0021] It should be noted that as the preferred technical solution of the roadway deformation influencing factor analysis method based on data monitoring, the specific steps of S21 are: based on the load data of each collection point on the roadway surrounding rock and the vibration angular frequency data of the mining equipment, the dynamic load influence is evaluated, wherein the dynamic load influence evaluation formula of each collection point on the roadway surrounding rock is: , wherein i is the number corresponding to each collection point on the roadway surrounding rock, i is any one of 1 to N, T is the working cycle of the mining equipment, is the dynamic load data of the i-th collection point on the roadway surrounding rock at time t, is the reference load data corresponding to the i-th collection point on the roadway surrounding rock, is the attenuation coefficient of the roadway rock mass, is the vibration angular frequency when the mining equipment is running, is the critical frequency of the roadway rock mass, it should be noted that in the formula , the role is to represent the dynamic force applied by the mining equipment on each collection point on the roadway surrounding rock when it is working normally, and it is the basis for calculating the dynamic load influence evaluation value; is the load safety reference value, which is used to quantify the deviation degree of the actual load; is the attenuation coefficient of the roadway rock mass, which is obtained by core vibration test and represents the absorption capacity of the roadway rock mass to vibration energy, and the value is larger when the rock layer is softer; is the vibration angular frequency when the mining equipment is running, which reflects the vibration characteristics of the mining equipment when it is running, and the higher the frequency, the stronger the disturbance to the roadway rock mass; The design significance of is to monitor whether the roadway rock mass and the mining equipment running will resonate, which needs to be monitored, and the acquisition method is to obtain the stiffness of the rock mass by sound wave detection; in the formula , the average load state of the mining equipment in the working cycle is reflected, and the interference of instantaneous overload or underload is eliminated by time integration; in the formula , the energy consumption effect of the mining equipment vibration on the roadway rock mass is quantified.

[0022] It should be noted that, as the preferred technical solution of the roadway deformation influencing factor analysis method based on data monitoring, the specific steps of S22 are: based on the external force data, support structure length data and cross-sectional area data of each collection point of the roadway surrounding rock acting on the support structure, the support structure deformation evaluation of each collection point of the roadway surrounding rock is carried out, wherein the support structure deformation evaluation value calculation formula of each collection point of the roadway surrounding rock is: Wherein, T is the working cycle of the mining equipment, is the external force of the i th collection point acting on the support structure at time t in the working cycle of the mining equipment, is the support structure length corresponding to the i th collection point, is the support structure cross-sectional area corresponding to the i th collection point, is the elastic modulus of the support structure, is the reference average deformation corresponding to the i th collection point, it should be noted that in the formula The setting is because the deformation of the support structure is the external force, and the size of the external force will be different at different time points; The setting is because the length of the support structure is proportional to the deformation it bears, and the long support structure is more susceptible to external force than the short support structure; The setting is because the cross-sectional area of the support structure determines its ability to resist external force, and the larger the area, the greater the pressure it can withstand; It is an important parameter to measure the stiffness of the support structure material, and the material with high elastic modulus deforms less when subjected to external force, and the material with low elastic modulus deforms more when subjected to external force; It is an important parameter to quantify the deviation of the support structure deformation; T reflects the cumulative effect of the support structure deformation under load, and considering the time effect can more accurately describe the state of the support structure in the working cycle of the mining equipment; in the formula Part of the integral analysis of the cumulative deformation of the support structure in the whole working cycle of the mining equipment through the external force change of each collection point acting on the support structure in the working cycle of the mining equipment.

[0023] It should be noted that, as the preferred technical solution of the roadway deformation influencing factor analysis method based on data monitoring, the specific steps of S3 are: based on the average unit weight data of the rock stratum of the roadway surrounding rock, the mining depth data and the width data of the goaf, the influence of the adjacent roadway is evaluated, wherein the influence of the adjacent roadway is evaluated. The calculation formula is: Wherein The average unit weight data of the rock stratum of the roadway surrounding rock, H is the mining depth data, D is the span data of the goaf, k is the stress attenuation index, is the set reference lateral transfer stress increment, it should be noted that in the formula Indicates the original stress, The acquisition mode of the original in-situ stress is obtained from a geological report, which is the basis for determining the size of the original in-situ stress, H is obtained from the difference between the ground elevation and the roadway elevation, the larger H is, the higher the original in-situ stress is, D is obtained from the width of the goaf in the mining technical drawing, the wider the goaf is, the larger the stress transfer range is, and k is obtained through rock mass strength testing, the harder the rock stratum is, the smaller k is; The coupling effect of the span and the depth of the goaf is represented, when D is much smaller than H, it represents that the goaf is narrow, at this time, the stress increases weakly, when D is much larger than H, it represents large-scale mining, and the stress increases significantly; the result of the formula is to analyze the stress increment of the lateral transfer of the overburden pressure of the goaf to the roadway after the goaf is formed, and to evaluate the additional load influence of the mining equipment on the adjacent roadway.

[0024] It should be noted that, as the preferred technical solution of the roadway deformation influencing factor analysis method based on data monitoring, the specific steps of S4 are: obtaining the roadway surrounding rock stability evaluation result and the adjacent roadway influence evaluation result, adding the weighted roadway surrounding rock stability evaluation value and the adjacent roadway influence evaluation value to obtain the roadway danger evaluation value; comparing the roadway danger evaluation value with the set roadway danger evaluation value threshold, if the roadway danger evaluation value is greater than or equal to the set roadway danger evaluation value threshold, it is determined that the roadway state is unqualified, and a warning prompt is given; if the roadway danger evaluation value is less than the set roadway danger evaluation value threshold, it is determined that the roadway state is qualified, it should be noted that there may be mutual correlation and influence between various dangerous factors when the roadway deforms, weighted summation can comprehensively evaluate different dangerous factors and fully consider various risks of roadway deformation, avoiding focusing on a single factor and ignoring other important risk sources leading to roadway deformation.

[0025] The roadway deformation influencing factor analysis system based on data monitoring is realized based on the above roadway deformation influencing factor analysis method based on data monitoring, and specifically includes a roadway data acquisition module, a roadway stability evaluation module, a roadway influence evaluation module, and a deformation analysis and warning module, wherein the roadway data acquisition module is used to acquire mining equipment operation data, support structure state data, and mining roadway state data;

[0026] The roadway stability evaluation module is used to evaluate the stability of the roadway surrounding rock based on the mining equipment operation data and the support structure state data;

[0027] The roadway influence evaluation module is used to evaluate the influence of the adjacent roadway based on the mining roadway state data;

[0028] The deformation analysis and warning module is used to evaluate the danger of roadway deformation based on the roadway surrounding rock stability evaluation result and the adjacent roadway influence evaluation result, and to perform a danger warning of roadway deformation according to the roadway deformation danger evaluation result.

[0029] An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be invoked by the processor;

[0030] The processor executes the above-mentioned data monitoring-based analysis method of influencing factors of roadway deformation by invoking the computer program stored in the memory.

[0031] A computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to execute the above-mentioned data monitoring-based analysis method of influencing factors of roadway deformation.

[0032] Compared with the prior art, the beneficial effects of the present application are that the present application obtains mining equipment operation data, support structure state data and mining roadway state data; performs roadway surrounding rock stability evaluation based on the mining equipment operation data and the support structure state data; performs adjacent roadway influence evaluation based on the mining roadway state data; performs roadway deformation risk evaluation based on the roadway surrounding rock stability evaluation result and the adjacent roadway influence evaluation result, and performs roadway deformation risk early warning according to the roadway deformation risk evaluation result; potential safety hazards can be found in time through roadway deformation risk early warning, and accidents such as collapse, equipment failure or support failure can be avoided, through real-time monitoring of the mining equipment and the roadway state, it can be accurately judged which areas have unstable factors, so as to reasonably adjust the mining plan and avoid resource waste, through the influence evaluation of the adjacent roadway, the influence of over-mining on the surrounding environment can be avoided, so as to reduce the damage to the mine ecology, protect the surrounding land and water source, and realize the sustainable and safe mining of the mine. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 It is a whole flowchart of the data monitoring-based analysis method of influencing factors of roadway deformation of the present application.

[0034] Figure 2 It is a flowchart of step S2 of the data monitoring-based analysis method of influencing factors of roadway deformation of the present application.

[0035] Figure 3 It is a whole frame diagram of the data monitoring-based analysis system of influencing factors of roadway deformation of the present application.

[0036] Figure 4 It is a flowchart of roadway deformation risk evaluation value acquisition of the data monitoring-based analysis method of influencing factors of roadway deformation of the present application. DETAILED DESCRIPTION

[0037] In order to better understand the present application, various aspects of the present application will be described in more detail with reference to the accompanying drawings.

[0038] In order to solve the technical problems raised in the background technology, this application provides a preferred embodiment:

[0039] The specific contents of this embodiment are:

[0040] like Figure 1 As shown in FIG, the method for analyzing factors affecting roadway deformation based on data monitoring includes the following specific steps:

[0041] S1. Acquire mining equipment operation data, support structure status data, and mining tunnel status data;

[0042] In this embodiment, the specific steps of S1 are:

[0043] S11. Acquire mining equipment operation data through a pressure sensor and an acceleration sensor, wherein the mining equipment operation data includes load data applied by the mining equipment to each collection point on the surrounding rock of the roadway and vibration angular frequency data of the mining equipment;

[0044] S12. Acquire support structure status data through pressure sensors and a database, wherein the support structure status data includes external force data acting on the support structure at each acquisition point of the tunnel surrounding rock, support structure length data, and cross-sectional area data;

[0045] S13. Acquire mining tunnel status data from a database, wherein the mining tunnel status data includes average bulk density data of the tunnel surrounding rock formation, mining depth data, and goaf width data;

[0046] S14. Storing the collected data in a storage component for use in the analysis process.

[0047] In one implementation of the present invention, the mining equipment operation data is obtained through pressure sensors and acceleration sensors, which are used to analyze the average load status of the mining equipment during the operation cycle and quantify the energy consumption effect of the mining equipment vibration on the tunnel rock mass. The support structure status data is obtained through pressure sensors and a database, which is used to analyze the cumulative deformation of the support structure during the entire mining equipment operation cycle. The mining tunnel status data is obtained through a database, which is used to analyze the stress increment of the tunnel's overburden load transferred to the side of the tunnel after the goaf is formed.

[0048] S2, such as Figure 2 As shown, the tunnel surrounding rock stability assessment is performed based on the mining equipment operation data and support structure status data;

[0049] In this embodiment, S2 includes the following specific steps:

[0050] S21, obtaining a dynamic load impact assessment value corresponding to each sampling point in the tunnel surrounding rock based on the load data applied by the mining equipment to each sampling point on the tunnel surrounding rock and the vibration angular frequency data of the mining equipment;

[0051] In this embodiment, the specific step of S21 is: performing a dynamic load impact assessment based on the load data of each sampling point applied by the mining equipment on the surrounding rock of the roadway and the vibration angular frequency data of the mining equipment, wherein the dynamic load impact assessment calculation formula of each sampling point on the surrounding rock of the roadway is: , where i is the number corresponding to each sampling point on the surrounding rock of the roadway, i is any item from 1 to N, T is the operation cycle of the mining equipment, is the dynamic load data at time t corresponding to the i-th collection point on the surrounding rock of the roadway, is the reference load data corresponding to the i-th collection point on the surrounding rock of the roadway, is the attenuation coefficient of the roadway rock mass, is the vibration angular frequency of the mining equipment during operation, is the critical frequency of the roadway rock mass. It should be noted that in this formula The function of is to express the dynamic force exerted by the mining equipment on each sampling point on the surrounding rock of the roadway during normal operation, which is the basis for calculating the dynamic load impact assessment value; It is the load safety reference value, used to quantify the degree of deviation from the actual load; is the attenuation coefficient of the roadway rock mass, obtained from the core vibration test, which represents the ability of the roadway rock mass to absorb vibration energy. The softer the rock layer, the larger the value. It is the vibration angular frequency of the mining equipment during operation, reflecting the vibration characteristics of the mining equipment during operation. The higher the frequency, the stronger the disturbance to the roadway rock mass. The design significance is to monitor whether the tunnel rock mass and the mining equipment will resonate during operation, which requires key monitoring. The acquisition method is to obtain the rock mass stiffness through acoustic wave detection. In this formula, The part reflects the average load state of the mining equipment during the operation cycle, and eliminates the interference of instantaneous overload or underload through time integration; in this formula Part of it is used to quantify the energy consumption effect of mining equipment vibration on the roadway rock mass; for example, The basis and benefits of this formula are: Changes over time are the basis for calculating the dynamic load impact assessment value. Used to quantify the degree of deviation from the actual load, It is the ability of the tunnel rock mass to absorb vibration energy. Reflects the vibration characteristics of mining equipment during operation, The resonance of the roadway rock mass and the mining equipment in operation is monitored, the attenuation effect of the rock mass on high-frequency vibration is described by an exponential function, which conforms to the physical principle, the reference load data is used as a benchmark to ensure the objectivity and comparability of the evaluation results, and accurate basis is provided for subsequent decision-making. The formula can specifically quantify the influence of dynamic load of different collection points, facilitate the identification of potential dangerous areas, consider the dynamic load data in the time dimension, make the evaluation results more close to the actual situation, improve the evaluation accuracy, and scientifically simulate the attenuation effect of the rock mass on high-frequency vibration by introducing the attenuation coefficient and the critical frequency, so as to avoid the deviation of the evaluation results from the actual situation.

[0052] S22, the external force data, the length data and the cross-sectional area data of the supporting structure of each collection point of the roadway surrounding rock are obtained to obtain the supporting structure deformation evaluation value corresponding to each collection point of the roadway surrounding rock;

[0053] In the embodiment, the specific steps of S22 are as follows: based on the external force data, the length data and the cross-sectional area data of the supporting structure of each collection point of the roadway surrounding rock, the supporting structure deformation evaluation of each collection point of the roadway surrounding rock is carried out, wherein the supporting structure deformation evaluation value calculation formula of each collection point of the roadway surrounding rock is: , wherein T is the working cycle of the mining equipment, is the external force of the i th collection point acting on the supporting structure at time t in the working cycle of the mining equipment, is the length of the supporting structure corresponding to the i th collection point, is the cross-sectional area of the supporting structure corresponding to the i th collection point, is the elastic modulus of the supporting structure, is the reference average deformation corresponding to the i th collection point, and it should be noted that in the formula, The setting is because the deformation of the supporting structure is caused by external force, and the size of the external force will be different at different time points; The setting is because the length of the supporting structure is proportional to the deformation it bears, and the long supporting structure is more susceptible to the action of external force than the short supporting structure; The setting is because the cross-sectional area of the supporting structure determines its ability to resist external force, and the larger the area, the greater the pressure it can withstand; is an important parameter for measuring the stiffness of the supporting structure material, and the material with high elastic modulus deforms less when subjected to external force, and the material with low elastic modulus deforms more when subjected to external force; is an important parameter for quantifying the deformation deviation of the supporting structure; T reflects the cumulative effect of the deformation of the supporting structure under load, and considering the time effect can more accurately describe the state of the supporting structure in the working cycle of the mining equipment; in the formula, The cumulative deformation of the support structure during the entire mining equipment operation cycle is analyzed by integrating the changes in the external forces acting on the support structure at each sampling point during the mining equipment operation cycle. The basis and benefits of It is the force acting on the support structure, which changes with time and is the basis for evaluating the deformation of the support structure. The cross-sectional area directly affects the rigidity and deformation capacity of the support structure. The elastic modulus of the support structure Describes the stiffness of the material and is an important parameter for evaluating deformation. Used for standardized deformation assessment, it facilitates comparison of deformation at different collection points. This formula comprehensively considers external forces, support structure dimensions, and material properties, enabling comprehensive assessment of support structure deformation. By introducing a reference average deformation, standardized comparisons of deformation at different collection points can be performed, facilitating analysis and decision-making. External force data changes over time, and the formula can reflect the dynamic deformation of the support structure.

[0054] S23. Obtain the dynamic load influence assessment value and support structure deformation assessment value results corresponding to each sampling point of the tunnel surrounding rock, and obtain the stability assessment value corresponding to each sampling point of the tunnel surrounding rock by weighted addition of the dynamic load influence assessment value and support structure deformation assessment value corresponding to each sampling point of the tunnel surrounding rock. It should be noted that the dynamic load influence assessment value is a characterization of the equivalent dynamic load strength caused by the mining equipment on the tunnel during mining, and the support structure deformation assessment value is a factor for analyzing whether the support structure will cause excessive deformation and affect the safety of the tunnel. Therefore, by comprehensively considering the equivalent dynamic load strength caused by the mining equipment on the tunnel during mining and whether the support structure will cause excessive deformation, the stability corresponding to each sampling point of the tunnel surrounding rock is assessed, thereby improving the accuracy of the stability assessment value.

[0055] S24. The stability assessment value of the tunnel surrounding rock is obtained by summing up the stability assessment values ​​corresponding to each sampling point and then averaging them. It should be noted that by summing up the stability assessment values ​​corresponding to each sampling point of the tunnel surrounding rock and then averaging them, the stability assessment values ​​corresponding to different sampling points can be comprehensively evaluated, and the stability assessment values ​​corresponding to each sampling point can be fully considered, avoiding focusing on the stability assessment value corresponding to a single sampling point and ignoring the stability assessment values ​​corresponding to other sampling points, thereby improving the accuracy of the stability assessment value of the tunnel surrounding rock.

[0056] S3. Evaluate the impact of adjacent tunnels based on the mining tunnel status;

[0057] In this embodiment, the specific step of S3 is: based on the average bulk density data of the roadway surrounding rock, the mining depth data, and the goaf width data, the adjacent roadway impact assessment is performed. The calculation formula for the adjacent roadway impact assessment is: wherein is the average bulk density data of the strata of the roadway surrounding rock, H is the mining depth data, D is the span data of the goaf, k is the stress attenuation index, is the set reference lateral stress increment, it should be noted that in the formula represents the original in-situ stress, is obtained from the geological report, which is the basis for determining the size of the original in-situ stress, H is obtained from the difference between the surface elevation and the roadway elevation, the larger H is, the higher the original in-situ stress is, D is obtained from the width of the goaf in the mining technical drawing, the wider the goaf is, the larger the stress transfer range is; k is obtained through rock mass strength test, the harder the rock mass is, the smaller k is; characterizes the coupling effect of goaf span and depth, when D is much smaller than H, it means that the goaf is narrow, at this time the stress increase is weak, when D is much larger than H, it means large-scale mining, the stress increase rises significantly; the result of the formula is to analyze the stress increment of the lateral transfer of the overburden load of the roadway to the roadway after the formation of the goaf, and to evaluate the additional load effect of the mining equipment on the adjacent roadway; the basis and benefits of are exemplarily illustrated, in the formula represents the original in-situ stress, which is the stress state naturally existing in the strata, and is the basis for evaluation, is the average bulk density of the roadway surrounding rock, which reflects the weight of unit volume of rock strata, and is crucial for calculating the stress distribution, H represents the depth of mining activities, which directly affects the stress distribution, D represents the span of the goaf, but for consistency, it can be understood as the key width parameter in the evaluation, the larger it is, the greater the influence on the adjacent roadway may be, k represents the rate of stress decay with distance, which reflects the variation law of the in-situ stress at different distances, represents the increase in lateral stress under certain conditions, which is used to correct the evaluation results, the formula comprehensively considers multiple geological and engineering parameters, which can more accurately evaluate the influence of the goaf on the adjacent roadway, ensure the reliability of the evaluation results, and reduce the adverse effects on the surrounding roadway.

[0058] As shown in the accompanying Figure 4 , S4, based on the roadway surrounding rock stability evaluation results and the adjacent roadway influence evaluation results, carries out roadway deformation danger evaluation, and according to the roadway deformation danger evaluation results, carries out roadway deformation danger early warning.

[0059] In the embodiment, the specific steps of S4 are: obtaining the roadway surrounding rock stability evaluation result and the adjacent roadway influence evaluation result, weighting and adding the roadway surrounding rock stability evaluation value and the adjacent roadway influence evaluation value to obtain a roadway danger evaluation value; comparing the roadway danger evaluation value with a set roadway danger evaluation value threshold, if the roadway danger evaluation value is greater than or equal to the set roadway danger evaluation value threshold, determining that the roadway state is an unqualified state, and giving a warning prompt; if the roadway danger evaluation value is less than the set roadway danger evaluation value threshold, determining that the roadway state is a qualified state, and it needs to be noted that there may be mutual correlation and influence between various dangerous factors when the roadway deforms, the weighted summation can comprehensively evaluate different dangerous factors and comprehensively consider various risks of roadway deformation, and it is avoided that only a single factor is focused on and important risk sources leading to roadway deformation are ignored.

[0060] It needs to be noted that the set parameters (such as weights and thresholds) in the embodiment need to be set by a person skilled in the art according to relevant experiments, and the specific experimental method is: obtaining the mining equipment operation data, the supporting structure state data and the mining roadway state data, and inputting them into each step in the embodiment to calculate the roadway deformation danger evaluation value, obtaining the roadway deformation danger evaluation value, and inputting the roadway deformation danger evaluation value and the actual roadway deformation danger result into fitting software for continuous fitting, and outputting the set parameters (such as weights and thresholds) that make the roadway deformation danger evaluation value consistent with the actual roadway deformation danger result.

[0061] According to the above implementation content, the embodiment has the following advantages over the prior art: the embodiment obtains the mining equipment operation data, the supporting structure state data and the mining roadway state data; the roadway surrounding rock stability is evaluated based on the mining equipment operation data and the supporting structure state data; the influence of the adjacent roadway is evaluated based on the mining roadway state; the roadway deformation danger is evaluated based on the roadway surrounding rock stability evaluation result and the adjacent roadway influence evaluation result, and the roadway deformation danger warning is given according to the roadway deformation danger evaluation result; potential safety hazards can be found in time through the roadway deformation danger warning, and accidents such as collapse, equipment failure or supporting failure are avoided, through real-time monitoring of the mining equipment and the roadway state, it can be accurately judged which areas have unstable factors, so that the mining plan can be reasonably adjusted to avoid resource waste, through the influence evaluation of the adjacent roadway, the influence of over-mining on the surrounding environment can be avoided, so as to reduce the damage to the mine ecology, protect the surrounding land and water source, and realize the sustainable and safe mining of the mine.

[0062] For example, Figure 3As shown, the embodiment also provides a roadway deformation influencing factor analysis system based on data monitoring, which is realized based on the roadway deformation influencing factor analysis method based on data monitoring, and specifically includes a roadway data acquisition module, a roadway stability evaluation module, a roadway influencing property evaluation module, and a deformation analysis and early warning module, wherein the roadway data acquisition module is configured to acquire mining equipment operation data, support structure state data, and mining roadway state data;

[0063] The roadway stability evaluation module is configured to evaluate the stability of the surrounding rock of the roadway based on the mining equipment operation data and the support structure state data.

[0064] The roadway influencing property evaluation module is configured to evaluate the influencing property of the adjacent roadway based on the mining roadway state data.

[0065] The deformation analysis and early warning module is configured to evaluate the deformation danger of the roadway based on the evaluation results of the stability of the surrounding rock of the roadway and the influencing property of the adjacent roadway, and to perform a deformation danger early warning of the roadway according to the evaluation results of the deformation danger of the roadway.

[0066] The specific steps of each unit module in the roadway deformation influencing factor analysis system based on data monitoring of the present application for realizing the corresponding functions can refer to the steps in the embodiments of the roadway deformation influencing factor analysis method based on data monitoring, which will not be repeated here.

[0067] The embodiment also provides an electronic device, which includes a processor and a memory, wherein the memory stores a computer program that can be invoked by the processor.

[0068] The processor executes the roadway deformation influencing factor analysis method based on data monitoring by invoking the computer program stored in the memory.

[0069] The memory can be used to store instructions, programs, codes, code sets, or instruction sets. The memory can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the roadway deformation influencing factor analysis method based on data monitoring provided by the above embodiments, etc.; and the data storage area can store data involved in the roadway deformation influencing factor analysis method based on data monitoring provided by the above embodiments, etc.

[0070] The processor can include one or more processing cores. The processor invokes data stored in the memory by running or executing instructions, programs, code sets, or instruction sets stored in the memory, performs various functions and processes data of the present application. The processor can be at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, and a microprocessor. It can be understood that the electronic device for implementing the functions of the above processor can also be other for different devices, and the embodiments of the present application are not limited specifically.

[0071] A communication bus can also be included, which can include a path for transmitting information between the above components. The communication bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0072] The embodiment also proposes a computer readable storage medium, which stores instructions, when the instructions run on the computer, make the computer execute the above-mentioned roadway deformation influencing factor analysis method based on data monitoring.

[0073] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only optical disc, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0074] The above-described embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, the above-described embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present application are wholly or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center, or the like, which includes one or more available medium collections. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state disk.

[0075] The terms "comprise", "contain", or any other variant thereof are intended to cover a non-exclusive inclusion, so that a process, method, article, or apparatus that includes a list of elements not only includes those elements, but also includes other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0076] The above description is merely preferred embodiments of the present application and a description of the principles of the technology used. Those skilled in the art should understand that the scope of the application involved in the present application is not limited to the technical solutions formed by the specific combinations of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or equivalent features without departing from the above application concept. For example, the technical solutions formed by mutually replacing the above features with technical features having similar functions applied in the present application (but not limited to).

Claims

1. The method for analyzing factors affecting tunnel deformation based on data monitoring is characterized by: include: S1. Acquire mining equipment operation data, support structure status data, and mining tunnel status data; S2. Evaluate the stability of the surrounding rock of the roadway based on the operating data of the mining equipment and the status data of the support structure; The specific steps include: S21, obtaining a dynamic load impact assessment value corresponding to each sampling point in the tunnel surrounding rock based on the load data applied by the mining equipment to each sampling point on the tunnel surrounding rock and the vibration angular frequency data of the mining equipment; S22, obtaining a support structure deformation assessment value corresponding to each sampling point in the tunnel surrounding rock based on the external force data acting on the support structure, the support structure length data, and the cross-sectional area data at each sampling point in the tunnel surrounding rock; S23, obtaining dynamic load influence assessment values ​​and support structure deformation assessment values ​​corresponding to each sampling point of the tunnel surrounding rock, and obtaining stability assessment values ​​corresponding to each sampling point of the tunnel surrounding rock by weighted addition of the dynamic load influence assessment values ​​and support structure deformation assessment values ​​corresponding to each sampling point; S24, summing and averaging the stability assessment values ​​corresponding to the various sampling points of the roadway surrounding rock to obtain a roadway surrounding rock stability assessment value; S3. Conducting an impact assessment of adjacent roadways based on mining roadway status data. Specifically, the steps are: obtaining an impact assessment of adjacent roadways based on average bulk density data of the roadway surrounding rock formations, mining depth data, and goaf width data. S4. Conduct a roadway deformation risk assessment based on the roadway surrounding rock stability assessment results and the adjacent roadway impact assessment results, and issue a roadway deformation risk warning based on the roadway deformation risk assessment results.

2. The method for analyzing factors affecting tunnel deformation based on data monitoring according to claim 1, characterized in that: The specific step of S21 is: based on the load data of each sampling point applied by the mining equipment on the surrounding rock of the roadway and the vibration angular frequency data of the mining equipment, the dynamic load impact evaluation calculation formula of each sampling point on the surrounding rock of the roadway is: , where i is the number corresponding to each sampling point on the surrounding rock of the roadway, i is any item from 1 to N, T is the operation cycle of the mining equipment, is the dynamic load data at time t corresponding to the i-th collection point on the surrounding rock of the roadway, is the reference load data corresponding to the i-th collection point on the surrounding rock of the roadway, is the attenuation coefficient of the roadway rock mass, is the vibration angular frequency of the mining equipment during operation, is the critical frequency of the roadway rock mass.

3. The method for analyzing factors affecting roadway deformation based on data monitoring according to claim 2, characterized in that: The specific steps of S22 are: based on the external force data, support structure length data and cross-sectional area data acting on the support structure at each sampling point of the tunnel surrounding rock, the deformation evaluation value of the support structure at each sampling point of the tunnel surrounding rock is calculated as follows: , where T is the operation cycle of mining equipment, is the external force acting on the support structure at the i-th collection point at time t during the operation cycle of the mining equipment, is the length of the support structure corresponding to the i-th collection point, is the cross-sectional area of ​​the support structure corresponding to the i-th collection point, is the elastic modulus of the supporting structure, is the reference average deformation corresponding to the i-th collection point.

4. The method for analyzing factors affecting tunnel deformation based on data monitoring according to claim 3, characterized in that: The specific steps of S4 are: obtaining the results of the roadway surrounding rock stability assessment and the adjacent roadway influence assessment, weighting the roadway surrounding rock stability assessment value and the adjacent roadway influence assessment value and adding them together to obtain a roadway hazard assessment value; comparing the roadway hazard assessment value with a set roadway hazard assessment value threshold; if the roadway hazard assessment value is greater than or equal to the set roadway hazard assessment value threshold, determining that the roadway state is unqualified and issuing an early warning prompt; If the tunnel hazard assessment value is less than the set tunnel hazard assessment value threshold, the tunnel status is determined to be a qualified status.

5. A system for analyzing factors affecting roadway deformation based on data monitoring, which is implemented based on the method for analyzing factors affecting roadway deformation based on data monitoring according to any one of claims 1 to 4, and is characterized in that: It specifically includes a tunnel data acquisition module, a tunnel stability assessment module, a tunnel impact assessment module and a deformation analysis and early warning module, wherein the tunnel data acquisition module is used to obtain mining equipment operation data, support structure status data and mining tunnel status data; The tunnel stability assessment module is used to assess the tunnel surrounding rock stability based on mining equipment operation data and support structure status data; The tunnel impact assessment module is used to assess the impact of adjacent tunnels based on mining tunnel status data; The deformation analysis and early warning module is used to perform a roadway deformation risk assessment based on the roadway surrounding rock stability assessment results and the adjacent roadway impact assessment results, and to provide a roadway deformation risk early warning based on the roadway deformation risk assessment results.

6. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the method for analyzing factors affecting tunnel deformation based on data monitoring as described in any one of claims 1 to 4 by calling the computer program stored in the memory.

7. A computer-readable storage medium, characterized in that Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the method for analyzing factors affecting tunnel deformation based on data monitoring as described in any one of claims 1 to 4.

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