Coal mine building foundation settlement monitoring and early warning system and method based on intelligent sensor

Abstract

The invention discloses a coal mine building foundation settlement monitoring and early warning system and method based on an intelligent sensor, and belongs to the field of feature analysis. Then, foundation settlement anomaly analysis is carried out based on settlement data in the foundation condition, meanwhile, settlement damage anomaly analysis is carried out based on a foundation settlement anomaly analysis result and foundation stability data in the foundation condition, and finally settlement early warning analysis is carried out based on a coal mining influence analysis result and a settlement damage anomaly analysis result. And settlement early warning is carried out according to the settlement early warning analysis result, early warning is carried out on possibly-caused foundation settlement through comprehensive analysis of the settlement danger and the foundation bearing degree, and the method has the advantage that the accuracy and safety of foundation settlement early warning are improved.

Description

Technical Field

[0001] The present invention belongs to the field of feature analysis, and specifically relates to a coal mine building foundation settlement monitoring and early warning system and method based on intelligent sensors. Background Art

[0002] Coal mine surface buildings refer to the buildings and facilities directly related to coal mine production on the surface during the coal mining process. The design, construction, and maintenance of these buildings and facilities need to fully consider the special environment and safety requirements of coal mines. Coal mine surface buildings usually include the following facilities: wellhead facilities such as headframes, hoist houses, and shaft houses, which are used for the hoisting and ventilation of the mine; coal preparation plants, which are used for the washing, sorting, and processing of raw coal; coal storage yards, which are used for storing raw coal or washed coal. Due to the mining of coal seams in coal mines, cavities are generated under the foundation, and uneven settlement of the buildings on the foundation due to the loss of support below often occurs.

[0003] During the process of early warning of uneven foundation settlement, usually only the settlement of the foundation is monitored in real time through a settlement acquisition terminal, and then the settlement size is compared with a threshold value, and then early warning is carried out. The prior art cannot evaluate the settlement risk during the mining process according to the soil layer conditions, mining conditions, and mechanical disturbance conditions in the mining area, and at the same time cannot early warn of the possible foundation settlement through the comprehensive analysis of the settlement risk and the foundation bearing capacity, resulting in serious lag in early warning. Most of the prior art has the above problems.

[0004] For example, in a Chinese patent with the authorization publication number CN105783854B, a monitoring system for the movement and deformation of overlying strata after backfilling of a coal mine goaf is proposed, including a data acquisition part, a comparison part, and a feedback part. Among them: the data acquisition part transmits the data collected from the bonding surface, joint surface, and overlying strata thickness direction to the comparison part; the comparison part draws a curve of the movement and deformation of the bonding surface changing with time and obtains the average settlement rate of the filling material; and according to the pre-stored reference data, a set of difference curves of each parameter changing with time is obtained, and the difference curves of each parameter are analyzed regularly to allocate the contribution rate of the changes of the bonding surface and the filling material to the movement and deformation of the overlying strata; the feedback part uses a backward deduction form to obtain how to use parameter compensation at the target time node to prevent the movement and deformation of the overlying strata. The overlying strata movement and deformation monitoring system of this invention accurately analyzes the movement and deformation of the overlying strata by corresponding the differences and contribution rate allocations.

[0005] The above patents all have the problems proposed in this background art. To solve the problems proposed in this background art, this application designs a coal mine building foundation settlement monitoring and early warning system and method based on intelligent sensors. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention proposes a coal mine building foundation settlement monitoring and early warning system and method based on intelligent sensors.

[0007] To achieve the above object, the present invention provides the following technical solutions: A coal mine building foundation settlement monitoring and early warning method based on intelligent sensors, which includes the following specific steps:

[0008] Obtain the coal mine mining situation data of the foundation area, the soil layer situation of the foundation area, and the foundation foundation situation;

[0009] Based on the coal mine mining situation data of the foundation area and the soil layer situation of the foundation area, conduct an analysis of the impact of coal mine mining in the foundation area;

[0010] Based on the settlement data in the foundation foundation situation, conduct an analysis of abnormal foundation settlement, and at the same time, based on the results of the abnormal foundation settlement analysis and the foundation stability data in the foundation foundation situation, conduct an analysis of abnormal settlement failure;

[0011] Based on the results of the coal mine mining impact analysis and the abnormal settlement failure analysis, conduct a settlement early warning analysis, and conduct a settlement early warning according to the results of the settlement early warning analysis.

[0012] It should be noted here that, as a preferred technical solution of the coal mine building foundation settlement monitoring and early warning method based on intelligent sensors, the coal mine mining situation data of the foundation area includes the coal mine mining depth information of each point in the corresponding foundation area and the vibration data of the equipment during mining. Here, the coal mine mining depth includes the minimum depth and the maximum depth of the coal mine mining area from the ground surface. The soil layer situation of the foundation area includes the viscosity data of the soil layer in the foundation area. The foundation foundation situation includes the foundation settlement situation data and the foundation construction stability data. Among them, the foundation settlement situation data includes the settlement depth data of each point of the foundation and the foundation surface crack data. The foundation construction stability data includes the construction connection strength data during foundation construction.

[0013] It should be noted here that, as a preferred technical solution of the coal mine building foundation settlement monitoring and early warning method based on intelligent sensors, the analysis of the impact of coal mine mining in the foundation area based on the coal mine mining situation data of the foundation area and the soil layer situation of the foundation area includes the following specific steps:

[0014] S21. Obtain the coal mine mining situation data of the foundation area, and conduct an abnormal coal mine mining analysis based on the coal mine mining situation data;

[0015] Among them, the abnormal coal mine mining analysis includes the following specific steps:

[0016] S211. Obtain the minimum depth and the maximum depth of the corresponding coal mine mining area from the ground surface, and at the same time obtain the density data of the soil layer directly above the mining area, and conduct an analysis of the mining danger situation of the corresponding coal mine mining area;

[0017] S212. Obtain the equipment vibration frequency and vibration amplitude data during equipment mining to evaluate the equipment mining risk level. Among them, the equipment mining risk level evaluation formula can be: where m is the average number of vibrations per second, d i is the amplitude of the i - th vibration, and dc is the safe amplitude of the equipment;

[0018] S213. Obtain the coal mine mining abnormal analysis result by weighted summing the coal mine mining area mining risk analysis result and the equipment mining risk level;

[0019] S22. Conduct soil layer vulnerability assessment based on the soil layer conditions in the foundation area. Among them, the soil layer vulnerability assessment calculation formula can be: where Nx is the cohesion data of the soil layer in the foundation area, and Nxm is the standard value of soil layer cohesion. Among them, the cohesion of the soil is usually expressed by the cohesion force, with the unit of kilopascal (kPa) or pascal (Pa). The cohesion force is an important parameter of the soil shear strength, representing the internal cohesion between soil particles and the ability of the soil to resist shear failure under unconfined conditions;

[0020] S23. Obtain the corresponding coal mine mining abnormal analysis result and the soil layer vulnerability assessment result, standardize them and then multiply to obtain the coal mine mining impact analysis result;

[0021] The advantage of this step is: comprehensively analyze the soil layer conditions, mining conditions, and mechanical disturbance conditions in the mining area during the mining process to evaluate the settlement risk during the mining process, improving the accuracy of risk assessment.

[0022] It should be noted here that as a preferred technical solution of the coal mine building foundation settlement monitoring and early warning method based on intelligent sensors, the foundation settlement abnormal analysis based on the settlement data in the foundation conditions includes the following specific steps:

[0023] S31. Obtain the settlement depth data and foundation surface crack data of each point of the foundation before mining;

[0024] S32. Conduct foundation settlement abnormal analysis based on the settlement depth data and foundation surface crack data of each point of the foundation before the mining process.

[0025] It should be noted here that as a preferred technical solution of the coal mine building foundation settlement monitoring and early warning method based on intelligent sensors, the settlement failure abnormal analysis based on the foundation settlement abnormal analysis result and the foundation stability data in the foundation conditions includes the following specific contents:

[0026] S33. Obtain the results of foundation settlement anomaly analysis and the foundation stability data in the foundation conditions, and import the results of foundation settlement anomaly analysis and the foundation stability data in the foundation conditions into the settlement failure anomaly analysis formula for settlement failure anomaly analysis. Among them, the settlement failure anomaly analysis formula is preferably: Among them, qd is the construction connection strength data during foundation construction, and qdm is the standard value of construction strength.

[0027] Here, it should be noted that as a preferred technical solution of the coal mine building foundation settlement monitoring and early warning method based on intelligent sensors, the settlement early warning analysis is carried out based on the coal mine mining influence analysis results and the settlement failure anomaly analysis results, and the settlement early warning is carried out according to the settlement early warning analysis results, including the following specific contents:

[0028] Obtain the coal mine mining influence analysis results and the settlement failure anomaly analysis results obtained through analysis, sum the obtained coal mine mining influence analysis results and the settlement failure anomaly analysis results after weighting respectively to obtain the settlement early warning value, compare the calculated settlement early warning value with the set settlement early warning standard value. If the settlement early warning value is greater than or equal to the set settlement early warning standard value, it indicates that there is a risk of uneven settlement of the foundation and settlement early warning needs to be given to the safety personnel. If the settlement early warning value is less than the set settlement early warning standard value, it indicates that there is no risk of uneven settlement of the foundation and no settlement early warning needs to be given to the safety personnel.

[0029] The coal mine building foundation settlement monitoring and early warning system based on intelligent sensors is implemented based on the above-mentioned coal mine building foundation settlement monitoring and early warning method based on intelligent sensors. It specifically includes a data acquisition module, a mining influence analysis module, a settlement anomaly analysis module, a settlement failure anomaly analysis module, and a settlement early warning module. Among them, the data acquisition module is used to obtain the coal mine mining situation data in the foundation area, the soil layer situation in the foundation area, and the foundation conditions;

[0030] The mining influence analysis module conducts coal mine mining influence analysis in the foundation area based on the coal mine mining situation data in the foundation area and the soil layer situation in the foundation area;

[0031] The settlement failure anomaly analysis module conducts foundation settlement anomaly analysis based on the settlement data in the foundation conditions;

[0032] The settlement failure anomaly analysis module conducts settlement failure anomaly analysis based on the settlement failure anomaly analysis results and the foundation stability data in the foundation conditions;

[0033] The settlement early warning module conducts settlement early warning analysis based on the coal mine mining influence analysis results and the settlement failure anomaly analysis results, and conducts settlement early warning according to the settlement early warning analysis results.

[0034] An electronic device includes: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory;

[0035] By calling the computer program stored in the memory, the processor executes the above-mentioned method for monitoring and warning the settlement of the foundation of coal mine buildings based on intelligent sensors.

[0036] A computer-readable storage medium stores instructions, which when run on a computer, cause the computer to execute the method for monitoring and warning the settlement of the foundation of coal mine buildings based on intelligent sensors as described above.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] The present invention first analyzes the influence of coal mine mining in the foundation area based on the coal mine mining situation data and the soil layer situation in the foundation area, then analyzes the abnormal foundation settlement based on the settlement data in the foundation conditions, and at the same time analyzes the abnormal settlement failure based on the results of the foundation settlement abnormal analysis and the foundation stability data in the foundation conditions. Finally, it conducts settlement warning analysis based on the results of the coal mine mining influence analysis and the settlement failure abnormal analysis, and issues a settlement warning according to the results of the settlement warning analysis. By comprehensively analyzing the soil layer situation, mining situation, and mechanical disturbance situation in the mining area during the mining process, it evaluates the settlement risk during the mining process, and at the same time analyzes the bearing capacity of the foundation through comprehensive abnormal analysis of the foundation conditions. Finally, it warns of possible foundation settlement through comprehensive analysis of the settlement risk and the bearing capacity of the foundation, having the advantages of improving the accuracy and safety of foundation settlement warning. Description of the Drawings

[0039] Figure 1 It is a schematic diagram of the overall process of the method for monitoring and warning the settlement of the foundation of coal mine buildings based on intelligent sensors of the present invention;

[0040] Figure 2 It is a schematic diagram of the process of step S2 of the method for monitoring and warning the settlement of the foundation of coal mine buildings based on intelligent sensors of the present invention;

[0041] Figure 3 It is a schematic diagram of the process of step S3 of the method for monitoring and warning the settlement of the foundation of coal mine buildings based on intelligent sensors of the present invention;

[0042] Figure 4 It is a schematic diagram of the overall framework of the system for monitoring and warning the settlement of the foundation of coal mine buildings based on intelligent sensors of the present invention. Detailed Embodiments

[0043] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and in no way limits the present application and its application or use.

[0044] Embodiment 1

[0045] To solve the technical problems raised in the background art: the prior art cannot evaluate the settlement risk during the mining process according to the soil layer conditions, mining conditions, and mechanical disturbance conditions in the mining area, and at the same time, it cannot give an early warning of the possible foundation settlement through the comprehensive analysis of the settlement risk and the foundation bearing capacity, resulting in a serious lag in the early warning.

[0046] The present invention provides a preferred embodiment: as Figures 1 - 3 shown, a method for monitoring and warning the settlement of a coal mine building foundation based on intelligent sensors, which includes the following specific steps:

[0047] S1. Obtain the coal mine mining situation data of the foundation area, the soil layer situation of the foundation area, and the foundation condition;

[0048] In this embodiment, the coal mine mining situation data of the foundation area includes the coal mine mining depth information of each point in the corresponding foundation area and the vibration data of the equipment during mining. Here, the coal mine mining depth includes the minimum depth and the maximum depth of the coal mine mining area from the ground. The soil layer situation of the foundation area includes the viscosity data of the soil layer in the foundation area. The foundation condition includes the foundation settlement situation data and the foundation construction stability data. Among them, the foundation settlement situation data includes the settlement depth data of each point of the foundation and the foundation surface crack data. The foundation construction stability data includes the construction connection strength data during the foundation construction. Among them, the corresponding various types of data are obtained through the corresponding acquisition terminals and stored in the corresponding storage components. For example, the corresponding vibration data is collected by the vibration sensors installed on the mining equipment during the previous mining process and then stored in the corresponding storage components;

[0049] S2. Conduct an analysis of the impact of coal mine mining in the foundation area based on the coal mine mining situation data of the foundation area and the soil layer situation of the foundation area;

[0050] In this embodiment, the analysis of the impact of coal mine mining in the foundation area based on the coal mine mining situation data of the foundation area and the soil layer situation of the foundation area includes the following specific steps:

[0051] S21. Obtain the coal mine mining situation data of the foundation area and conduct an abnormal analysis of coal mine mining based on the coal mine mining situation data;

[0052] Among them, the abnormal analysis of coal mine mining includes the following specific steps:

[0053] S211. Obtain the minimum depth and maximum depth of the coal mine mining area from the ground surface. At the same time, obtain the density data of the soil layer directly above the mining area, and conduct an analysis of the mining danger situation in the corresponding coal mine mining area. Among them, the calculation formula for the mining danger in the coal mine mining area can be: Among them, ρ is the average density data of the soil layer directly above the mining area, s is the area data of the upper half of the mining area, m is the data of the pressure that can be borne per unit area of the coal mine's protective equipment converted into weight, h1 is the minimum depth of the corresponding coal mine mining area from the ground surface, h2 is the maximum depth of the corresponding coal mine mining area from the ground surface, M is the building quality, hm is the maximum value of the safe range of the mining height. Since the greater the span of the mining height, the greater the damage caused during a collapse accident, the difference between the minimum depth of the corresponding coal mine mining area from the ground surface and the maximum depth of the corresponding coal mine mining area from the ground surface is used as a parameter for danger judgment here. At the same time, since the deeper the depth, the greater the soil pressure on the upper part of the mining framework, the danger degree is analyzed by comparing the mass of the upper soil with the bearing pressure in the formula;

[0054] S212. Obtain the equipment vibration frequency and vibration amplitude data during equipment mining to evaluate the equipment mining danger degree. Among them, the calculation formula for evaluating the equipment mining danger degree can be: Among them, m is the average number of vibrations per second, di is the amplitude of the i-th vibration, and dc is the safe amplitude of the equipment;

[0055] S213. Obtain the coal mine mining abnormal analysis result by weighted summing the coal mine mining area mining danger analysis result and the equipment mining danger degree;

[0056] S22. Conduct an evaluation of the vulnerability of the soil layer based on the soil layer conditions in the foundation area. Among them, the calculation formula for evaluating the vulnerability of the soil layer can be: Among them, Nx is the viscosity data of the soil layer in the foundation area, and Nxm is the standard value of the soil layer viscosity. Among them, the viscosity of the soil is usually expressed by the cohesion force, with the unit of kilopascal (kPa) or pascal (Pa). The cohesion force is an important parameter of the soil shear strength, representing the internal cohesion between soil particles and the ability of the soil to resist shear failure under unconfined conditions;

[0057] S23. Obtain the coal mine mining influence analysis result by multiplying the corresponding coal mine mining abnormal analysis result and the soil layer vulnerability evaluation result after standardization;

[0058] S3. Conduct an abnormal analysis of the foundation settlement based on the settlement data in the foundation conditions, and conduct an abnormal analysis of the settlement failure based on the foundation settlement abnormal analysis result and the foundation stability data in the foundation conditions;

[0059] In this embodiment, the analysis of abnormal foundation settlement based on the settlement data in the foundation conditions includes the following specific steps:

[0060] S31. Obtain the settlement depth data of each point of the foundation before mining and the foundation surface crack data;

[0061] S32. Conduct an analysis of abnormal foundation settlement based on the settlement depth data of each point of the foundation and the foundation surface crack data before the mining process. Among them, the formula for the analysis of abnormal foundation settlement can be: where G is the average number of settlements and cracks per unit area on the foundation, sg is the opening area of the g-th settlement and crack, Lg is the depth of the g-th settlement and crack, and Vm is the safety volume of the settlements and cracks;

[0062] In this embodiment, the analysis of abnormal settlement failure based on the analysis results of abnormal foundation settlement and the foundation stability data in the foundation conditions includes the following specific contents:

[0063] S33. Obtain the analysis results of abnormal foundation settlement and the foundation stability data in the foundation conditions, and import the analysis results of abnormal foundation settlement and the foundation stability data in the foundation conditions into the formula for the analysis of abnormal settlement failure for analysis. Among them, the formula for the analysis of abnormal settlement failure is preferably: where qd is the construction connection strength data during foundation construction, and qdm is the standard value of construction strength;

[0064] S4. Conduct a settlement warning analysis based on the analysis results of coal mine mining influence and the analysis results of abnormal settlement failure, and issue a settlement warning according to the analysis results of the settlement warning analysis;

[0065] In this embodiment, the settlement warning analysis based on the analysis results of coal mine mining influence and the analysis results of abnormal settlement failure, and the issuance of a settlement warning according to the analysis results of the settlement warning analysis include the following specific contents:

[0066] Obtain the analysis results of coal mine mining influence and the analysis results of abnormal settlement failure obtained from the analysis. Sum the weighted analysis results of coal mine mining influence and the analysis results of abnormal settlement failure obtained respectively to obtain the settlement warning value. Compare the calculated settlement warning value with the set settlement warning standard value. If the settlement warning value is greater than or equal to the set settlement warning standard value, it indicates that there is a risk of uneven settlement of the foundation, and a settlement warning needs to be issued to the safety personnel. If the settlement warning value is less than the set settlement warning standard value, it indicates that there is no risk of uneven settlement of the foundation, and there is no need to issue a settlement warning to the safety personnel. The warning method can be any one of alarms, phone calls, or text message notifications.

[0067] It should be noted here that the value-taking method of the set parameters (such as standard values or threshold values) in this embodiment is as follows: Obtain the data of coal mine mining conditions in the representative historical foundation area, the soil layer conditions in the foundation area, and the foundation conditions, and at the same time obtain the judgment result of whether uneven settlement of the foundation occurs during mining. Then substitute the historical data into each step of this embodiment, and finally obtain the settlement warning values of each group of historical data. Substitute the settlement warning values of each group of historical data and the judgment result of whether uneven settlement of the foundation occurs into the fitting software to output the value-taking of the set parameters (such as standard values or threshold values) in this embodiment that meets the highest judgment accuracy rate;

[0068] The advantages of this embodiment compared with the prior art are as follows: Based on the coal mine mining condition data in the foundation area and the soil layer conditions in the foundation area, analyze the influence of coal mine mining in the foundation area. Then, based on the settlement data in the foundation conditions, analyze the abnormal foundation settlement. At the same time, based on the results of the abnormal foundation settlement analysis and the foundation stability data in the foundation conditions, analyze the abnormal settlement failure. Finally, based on the results of the coal mine mining influence analysis and the abnormal settlement failure analysis, conduct a settlement warning analysis, and issue a settlement warning according to the results of the settlement warning analysis. By comprehensively analyzing the soil layer conditions, mining conditions, and mechanical disturbance conditions in the mining area during the mining process, evaluate the settlement risk during the mining process. At the same time, comprehensively analyze the abnormal foundation conditions to analyze the bearing capacity of the foundation. Finally, through the comprehensive analysis of the settlement risk and the bearing capacity of the foundation, warn of the possible foundation settlement, which has the advantages of improving the accuracy and safety of foundation settlement warning.

[0069] Embodiment 2

[0070] As Figure 4 shown, the coal mine building foundation settlement monitoring and warning system based on intelligent sensors is implemented based on the above-mentioned coal mine building foundation settlement monitoring and warning method based on intelligent sensors, and specifically includes a data acquisition module, a mining influence analysis module, a settlement anomaly analysis module, a settlement failure anomaly analysis module, and a settlement warning module. Among them, the data acquisition module is used to obtain the coal mine mining condition data in the foundation area, the soil layer conditions in the foundation area, and the foundation conditions; the mining influence analysis module analyzes the influence of coal mine mining in the foundation area based on the coal mine mining condition data in the foundation area and the soil layer conditions in the foundation area; the settlement failure anomaly analysis module analyzes the abnormal foundation settlement based on the settlement data in the foundation conditions; the settlement failure anomaly analysis module analyzes the abnormal settlement failure based on the results of the abnormal foundation settlement analysis and the foundation stability data in the foundation conditions; the settlement warning module conducts a settlement warning analysis based on the results of the coal mine mining influence analysis and the abnormal settlement failure analysis, and issues a settlement warning according to the results of the settlement warning analysis. At the same time, the specific content of each step in this embodiment is described in detail in Embodiment 1.

[0071] Example 3

[0072] This embodiment provides an electronic device, including: a processor and a memory, wherein, a computer program that can be called by the processor is stored in the memory;

[0073] The processor executes the above-mentioned coal mine building foundation settlement monitoring and early warning method based on intelligent sensors by calling the computer program stored in the memory.

[0074] This electronic device may have relatively large differences due to different configurations or performances, and can include one or more processors and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the coal mine building foundation settlement monitoring and early warning method provided by the above method embodiment. This electronic device can also include other components for implementing the functions of the device. For example, this electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment will not be elaborated here.

[0075] Example 4

[0076] This embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored;

[0077] When the computer program runs on a computer device, it enables the computer device to execute the above-mentioned coal mine building foundation settlement monitoring and early warning method based on intelligent sensors.

[0078] For example, the computer-readable storage medium can be a read-only memory, a random access memory, a compact disc read-only memory, magnetic tape, a floppy disk, and an optical data storage device, etc.

[0079] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above 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 invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more sets of available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

Claims

1. A coal mine building foundation settlement monitoring and early warning method based on intelligent sensors, characterized in that: It includes the following specific steps: Obtain data on coal mining conditions in the foundation area, soil conditions in the foundation area, and foundation conditions; Conduct coal mining impact analysis in the foundation area based on coal mining data and soil conditions in the foundation area; Conduct foundation settlement anomaly analysis based on the settlement data in the foundation conditions, and conduct settlement damage anomaly analysis based on the foundation settlement anomaly analysis results and the foundation stability data in the foundation conditions; Based on the results of coal mining impact analysis and settlement damage abnormality analysis, settlement early warning analysis is carried out, and settlement warning is carried out according to the results of settlement early warning analysis.

2. The method for monitoring and early warning of coal mine building foundation settlement based on intelligent sensors according to claim 1, characterized in that: The analysis of the impact of coal mining in the foundation area based on the coal mining situation data and the soil layer situation in the foundation area includes the following specific steps: S21, obtaining coal mining situation data in the foundation area, and performing coal mining anomaly analysis based on the coal mining situation data; S22. Conduct soil vulnerability assessment based on the soil conditions in the foundation area; S23. Obtain the corresponding coal mining anomaly analysis results and soil layer vulnerability assessment results, standardize them, and then multiply them to obtain the coal mining impact analysis results.

3. The method for monitoring and early warning of coal mine building foundation settlement based on intelligent sensors as claimed in claim 2, characterized in that: The coal mining anomaly analysis comprises the following specific steps: S211, obtaining the minimum depth and maximum depth of the corresponding coal mining area from the ground, and obtaining density data of the soil layer directly above the mining area, and performing mining hazard analysis on the corresponding coal mining area; S212, obtaining equipment vibration frequency and vibration amplitude data during equipment mining to assess the danger level of equipment mining; S213. Obtain the coal mining area mining hazard analysis results and the weighted sum of the equipment mining hazard levels to obtain the coal mining anomaly analysis results.

4. The method for monitoring and early warning of coal mine building foundation settlement based on intelligent sensors as claimed in claim 3, characterized in that: The abnormal analysis of foundation settlement based on the settlement data in the foundation condition includes the following specific steps: S31, obtaining settlement depth data of each point of the foundation and foundation surface crack data before mining; S32, performing foundation settlement anomaly analysis based on the settlement depth data of each point of the foundation before the mining process and the foundation surface crack data; S33, obtaining foundation settlement anomaly analysis results and foundation stability data in foundation conditions, and importing the foundation settlement anomaly analysis results and foundation stability data in foundation conditions into a settlement damage anomaly analysis formula to perform settlement damage anomaly analysis.

5. The method for monitoring and early warning of coal mine building foundation settlement based on intelligent sensors as claimed in claim 4, characterized in that: The settlement early warning analysis based on the coal mining impact analysis results and the settlement damage abnormality analysis results, and the settlement early warning according to the settlement early warning analysis results include the following specific contents: The coal mining impact analysis results and the settlement damage anomaly analysis results obtained by analysis are obtained, and the obtained coal mining impact analysis results and the settlement damage anomaly analysis results are weighted and then summed to obtain the settlement warning value, and the calculated settlement warning value is compared with the set settlement warning standard value. If the settlement warning value is greater than or equal to the set settlement warning standard value, it means that there is a risk of uneven settlement of the foundation, and it is necessary to issue a settlement warning to the safety personnel. If the settlement warning value is less than the set settlement warning standard value, it means that there is no risk of uneven settlement of the foundation, and it is not necessary to issue a settlement warning to the safety personnel.

6. The method for monitoring and early warning of coal mine building foundation settlement based on intelligent sensors as claimed in claim 3, characterized in that: The calculation formula for the mining risk in the coal mining area is: Among them, ρ is the average density data of the soil layer directly above the mining area, s is the area data of the upper half of the mining area, m is the data converted into weight of the pressure that the coal mine protection equipment can withstand per unit area, h1 is the minimum depth of the corresponding coal mine mining area from the ground, h2 is the maximum depth of the corresponding coal mine mining area from the ground, M is the building mass, and hm is the maximum value of the mining height safety range.

7. The method for monitoring and early warning of coal mine building foundation settlement based on intelligent sensors as claimed in claim 6, characterized in that: The coal mining situation data of the foundation area includes the coal mining depth information of each point in the foundation area and the vibration data of the equipment during mining. The soil layer conditions in the foundation area include the viscosity data of the soil layer in the foundation area. The foundation conditions include foundation settlement situation data and foundation construction stability data, wherein the foundation settlement situation data includes the settlement depth data of each point of the foundation and the foundation surface crack data, and the foundation construction stability data includes the construction connection strength data during foundation construction, wherein the corresponding various types of data are obtained through the corresponding collection terminals and stored in the corresponding storage components.

8. A coal mine building foundation settlement monitoring and early warning system based on intelligent sensors, which is implemented based on the coal mine building foundation settlement monitoring and early warning method based on intelligent sensors as claimed in any one of claims 1 to 7, characterized in that: It specifically includes a data acquisition module, a mining impact analysis module, a settlement anomaly analysis module, a settlement damage anomaly analysis module and a settlement early warning module, wherein the data acquisition module is used to obtain coal mining data in the foundation area, soil layer conditions in the foundation area and foundation conditions; The mining impact analysis module performs coal mining impact analysis on the foundation area based on the coal mining situation data and soil layer conditions of the foundation area; The settlement damage anomaly analysis module performs foundation settlement anomaly analysis based on the settlement data in the foundation condition; The settlement damage anomaly analysis module performs settlement damage anomaly analysis based on the foundation settlement anomaly analysis result and the foundation stability data in the foundation condition; The subsidence warning module performs subsidence warning analysis based on the coal mining impact analysis results and the subsidence damage anomaly analysis results, and performs subsidence warning according to the subsidence warning analysis results.

9. 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 coal mine building foundation settlement monitoring and early warning method based on intelligent sensors as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the coal mine building foundation settlement monitoring and early warning method based on intelligent sensors as described in any one of claims 1 to 7.

Images