Method and system for detecting spatial form and volume of goaf of high-impurity salt mine

Abstract

The invention discloses a method and a system for detecting the spatial form and the volume of a high-impurity salt mine goaf. The method comprises the following steps: acquiring a first group of reflection data of the spatial form and the volume of the goaf; acquiring a second group of reflection data of the spatial form and the volume of the net brine space of the goaf; comparing the first group of reflection data with the second group of reflection data to obtain a data deviation degree value; determining whether the data deviation degree value is greater than a preset limit value; and if the data deviation degree value is greater than a preset limit value, optimizing the current processing interpretation mode until the data deviation degree value is less than or equal to the preset limit value, and taking the first group of reflection data as detection data of the spatial form and volume of the goaf. According to the method, the spatial form and the volume of the sediment space in the goaf can be accurately obtained, and the problem that the spatial form and the volume of the high-impurity salt mine goaf are difficult to detect is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of salt mine goaf exploration, and in particular to a method and system for detecting the spatial form and volume of a high-impurity salt mine goaf. Background Art

[0002] Underground salt deposits in my country occur as thin interbedded salt rocks, characterized by numerous interlayers, low grade, and thin thickness. Some salt deposits have a comprehensive solubility ratio below 60%, known as high-impurity salt deposits. During solution mining of these high-impurity salt deposits, insoluble matter within the salt layers and collapsed insoluble interlayers accumulate at the bottom of the goaf, forming a loose sediment deposit that covers most of the goaf.

[0003] In the field of salt mining, it is necessary to accurately capture the spatial morphology of high-impurity salt goaf areas. However, because the goaf is connected to the surface only by a shaft with a diameter of no more than 50 cm, and the sediment is a loose accumulation, it is difficult to fully and effectively detect the mining morphology and volume of the goaf using traditional physical detection techniques (such as sonar detection). Summary of the Invention

[0004] The present application provides a method and system for detecting the spatial shape and volume of goafs in high-impurity salt mines, which solves the technical problem in the prior art that it is difficult to completely and effectively detect the spatial shape and volume of goafs.

[0005] The present application provides a method for detecting the spatial morphology and volume of a high-impurity salt mine goaf, comprising: obtaining a first set of data reflecting the spatial morphology and volume of the goaf; obtaining a second set of data reflecting the spatial morphology and volume of the net brine space in the goaf; comparing the data corresponding to the net brine space in the first set of reflection data with the second set of reflection data, and obtaining a data deviation value by comparison; determining whether the data deviation value is greater than a preset limit; if the data deviation value is greater than the preset limit, optimizing the current processing and interpretation method until the data deviation value is less than or equal to the preset limit; if the data deviation value is less than or equal to the preset limit, using the first set of reflection data as the detection data for the spatial morphology and volume of the goaf.

[0006] In some embodiments, in the process of obtaining the data deviation degree value through comparison, it involves the position information of the sound wave expressed by the first set of reflection data when it is refracted along the rock wall of the surrounding rock, and the spatial points represented by the position information are connected and surfaced by three-dimensional image processing software to obtain the spatial form and volume of the net brine space represented by the first set of reflection data, and the data deviation degree value is obtained by comparing the spatial form and volume of the net brine space represented by the first set of reflection data and the second set of reflection data respectively.

[0007] In some embodiments, a first set of data reflecting the spatial shape and volume of the goaf is obtained by processing and interpreting the sound waves refracted from the goaf into the surrounding rock.

[0008] In some embodiments, a second set of data reflecting the spatial shape and volume of the net brine space in the goaf is obtained by using other detection methods other than the processing and interpretation method.

[0009] In some embodiments, other detection methods include but are not limited to sonar detection methods.

[0010] In some embodiments, the optimization processing and interpretation methods include, but are not limited to, optimizing the acoustic wave signal extraction method, optimizing the surrounding rock wall refraction point positioning model, or optimizing the positioning algorithm.

[0011] A system for detecting the spatial form and volume of goaf areas in high-impurity salt mines, comprising:

[0012] An acoustic wave exciter is installed in the clean brine space of the goaf and is used to send acoustic wave signals to the goaf;

[0013] A starter, connected to the control of the sonic exciter;

[0014] an acoustic wave receiver installed in an auxiliary shaft opened around the goaf, the acoustic wave receiver being used to receive acoustic wave signals refracted from the goaf into the surrounding rock; and

[0015] The signal processing and interpretation equipment is connected to the acoustic wave receiver signal, and is used to obtain a first set of reflection data of the spatial form and volume of the goaf based on the acoustic wave signal transmitted by the acoustic wave receiver.

[0016] In some embodiments, the detection system further comprises:

[0017] A control unit is connected to the signal processing and interpretation equipment. The control unit is used to compare the data corresponding to the net brine space in the goaf in the first set of reflection data with the second set of reflection data on the spatial shape and volume of the net brine space obtained by other detection methods other than the acoustic wave processing and interpretation method of the goaf refracted into the surrounding rock, obtain a data deviation value by comparison, determine whether the data deviation value is greater than a preset limit, and if the data deviation value is greater than the preset limit, optimize the processing and interpretation method of the signal processing and interpretation equipment until the data deviation value is less than or equal to the preset limit, and control the signal processing and interpretation equipment to output the first set of reflection data under the condition that the data deviation value is less than or equal to the preset limit.

[0018] In some embodiments, the interface between the sediment space and the clean brine space in the goaf and the acoustic wave exciter is spaced 5 cm to 20 cm apart.

[0019] In some embodiments, at least one auxiliary wellbore is opened around the goaf, and each auxiliary wellbore is provided with at least two acoustic wave receivers spaced apart from each other in the height direction.

[0020] In some embodiments, the longitudinal distance between the highest acoustic wave receiver and the lowest acoustic wave receiver in the auxiliary wellbore is greater than the minimum horizontal distance between the auxiliary wellbore and the goaf.

[0021] In some embodiments, the goaf is connected to a connecting wellbore that leads to the ground surface, and the detection system further includes a sealing plug that can be detachably installed on the connecting wellbore.

[0022] The beneficial effects of the present application are as follows: a method for detecting the spatial morphology and volume of a high-impurity salt mine goaf is provided, firstly, a first set of reflection data on the spatial morphology and volume of the goaf is obtained, the first set of reflection data including data corresponding to the net brine space in the goaf and data corresponding to the sediment space, and a second set of reflection data on the spatial morphology and volume of the net brine space in the goaf is obtained. Since only the net brine space is detected, the accuracy of the second set of reflection data can be guaranteed. Based on the obtained first and second sets of reflection data, the data corresponding to the net brine space in the first set of reflection data is compared with the second set of reflection data to obtain a data deviation value. If the data deviation value is less than or equal to a preset limit value, it means that the first set of reflection data meets the accuracy requirement. If the data deviation value is greater than the preset limit, the processing and interpretation method for obtaining the first group of reflection data is optimized, and then a new data deviation value is obtained, and a cyclic processing method of comparison, judgment, and optimization is adopted until the data deviation value is less than or equal to the preset limit. The first group of reflection data under the condition that the data deviation value is less than or equal to the preset limit is used as the detection data of the spatial shape and volume of the goaf; using the detection method of the present application, the spatial shape and volume of the sediment space in the goaf can be accurately obtained, and the spatial shape and volume of the net brine space in the goaf can be obtained at the same time, which effectively solves the problem that the spatial shape of the goaf of high-impurity salt mines is difficult to detect, and is of great significance to the efficient use of high-impurity salt mine energy storage and the reliable control and management of underground salt mine resource mining. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention.

[0024] Figure 1 A logical diagram of a method for detecting the spatial form and volume of a high-impurity salt mine goaf provided in this application;

[0025] Figure 2 This is a schematic diagram of the basic environment for this application plan;

[0026] Figure 3 This is a schematic diagram of the structure of a system for detecting the spatial form and volume of a high-impurity salt mine goaf provided in this application;

[0027] Figure 4 A schematic structural diagram of a system for detecting the spatial form and volume of a high-impurity salt mine goaf provided in this application is provided with a sealing plug.

[0028] The attached drawings are marked with: 10-detection system, 100-acoustic exciter, 200-starter, 300-acoustic receiver, 400-signal processing and interpretation equipment, 20-goaf, 21-clean brine space, 22-sludge space, 30-connecting wellbore, 31-sealing plug, 40-auxiliary wellbore, 50-surrounding rock, 61-ground surface, 62-overburden above the goaf, 63-salt-bearing stratum. DETAILED DESCRIPTION

[0029] During the solution mining process of high-impurity salt mines, insoluble matter in the salt layer and collapsed insoluble interlayers accumulate at the bottom of the goaf, forming a sediment accumulation body. The loose sediment accumulation body buries most of the space in the goaf.

[0030] On the one hand, when storing energy materials, rare gases and disposing of waste in high-impurity salt mines, it is necessary to obtain all available space volumes in the goaf, including the net brine space volume above the sediment accumulation body and the total volume of the void space within the sediment accumulation body; in addition, when utilizing the sediment voids, it is necessary to obtain the lowest point of the goaf buried by the sediment accumulation body so that a brine discharge outlet can be set at the lowest point.

[0031] On the other hand, natural resource management departments and salt mining companies also need to accurately obtain the shape and volume of the mined-out areas in order to better understand and control the mining of salt resources.

[0032] Therefore, accurately determining the spatial morphology of high-impurity salt mine goafs is a key challenge in production. Traditional physical detection techniques, such as sonar, can fully and effectively determine the spatial morphology and volume of the net brine space, but struggle to fully and effectively determine the spatial morphology and volume of the sediment space where the sediment accumulates.

[0033] Please refer to Figure 2 , Figure 2The surrounding environment of the goaf of the present application is shown. Below the surface 61 is the goaf upper covering layer 62, and below the goaf upper covering layer 62 is the saline stratum 63. The goaf 20 is opened in the saline stratum 63. The goaf 20 includes a net brine space and a sediment space 22 located below the net brine space. The net brine space is connected to the surface 61 through a connecting wellbore 30. There is a sediment accumulation body in the sediment space 22. The sediment accumulation body is formed by the accumulation of insoluble matter in the salt layer and the collapsed insoluble interlayer, and there are gaps between the sediment accumulation bodies.

[0034] To solve the above problems, the present application provides a method for detecting the spatial shape and volume of a high-impurity salt mine goaf 20, hereinafter referred to as the detection method. The detection method mainly includes obtaining a first set of reflection data and verifying and optimizing the first set of reflection data.

[0035] Please refer to Figure 1 The detection method includes obtaining a first set of reflection data, which reflects the spatial shape and volume of the goaf 20. The spatial shape of the goaf 20 includes the spatial shape of the net brine space 21 and the spatial shape of the sediment space 22. The volume of the goaf 20 includes the volume of the net brine space 21 and the volume of the sediment space 22. In this detection method, the first set of reflection data is obtained by processing and interpreting the sound waves refracted from the goaf 20 into the surrounding rock 50. Based on the sound waves emitted in the goaf 20 and the sound wave signals refracted into the surrounding rock 50 of the goaf, the sound wave signals are processed and interpreted, thereby obtaining the first set of reflection data of the spatial shape and volume of the goaf 20. The first set of reflection data includes data corresponding to the net brine space in the goaf 20 and data corresponding to the sediment space 22.

[0036] The method of processing and interpreting the sound waves refracted from the goaf 20 into the surrounding rock 50 involves the construction of a detection system 10, which mainly involves an acoustic wave exciter 100, an acoustic wave receiver 300 and a signal processing and interpretation device 400. The acoustic wave exciter 100 installed in the net brine space of the goaf 20 emits sound waves, and the sound waves emitted by the acoustic wave exciter 100 propagate in all directions of the goaf 20. Due to the huge physical and mechanical differences between the brine, sediment accumulation and the goaf surrounding rock 50, the sound waves propagating in all directions will undergo obvious reflection and refraction after encountering the wall of the goaf surrounding rock 50. The reflected sound waves return to the goaf 20, and the refracted sound waves continue to propagate in all directions along the rock. An auxiliary wellbore 40 is opened around the goaf 20, and the acoustic wave receiver 300 installed in the auxiliary wellbore 40 receives these refracted sound waves and transmits the received sound wave signals to the signal processing and interpretation device 400 on the surface 61.

[0037] Signal processing and interpretation device 400 has multiple functions, including but not limited to large-capacity storage space, real-time transmission and reception, anti-interference performance, and powerful interpretation and processing capabilities. Signal processing and interpretation device 400 is used to store, process, and interpret the acoustic wave signals transmitted by acoustic wave receiver 300. The processing and interpretation process can apply the principle of travel-time tomography. Travel-time tomography is a geophysical exploration method that infers the distribution and properties of underground media by measuring the travel time information of waves, effectively revealing the details of underground structures. The principle of travel-time tomography is based on the principle of seismic depth sounding. When waves propagate underground, they will undergo refraction, reflection, and scattering between different media. Different media have different effects on the propagation speed of the waves. By measuring the travel time information of the waves, that is, the time required for the waves to travel from the emission point to the reception point, the changes in the underground media can be inferred.

[0038] This application adopts the inversion method in the travel-time tomography method, which takes the variables of the underground structure as unknown quantities and uses the relationship between the physical laws of seismic wave propagation and the observation data to solve the distribution of the underground structure. This application uses the signal processing and interpretation equipment 400 to store, process and interpret the acoustic wave signals transmitted by the acoustic wave receiver 300. The specific processing and interpretation process is as follows: Based on the results of measurements using other devices (such as sonar devices), an initial spatial morphological model of the net brine space 21 is constructed. The position information of the acoustic wave exciter 100 and the acoustic wave receiver 300 is known, and then acoustic wave travel-time tomography is performed to correct the initial spatial morphological model of the net brine space 21 obtained based on the acoustic wave measurement method. The final interpretation result is mainly composed of relatively accurate position information when the acoustic wave is refracted along the rock wall of the goaf 20.

[0039] Please refer to Figure 1 This detection method also includes obtaining a second set of reflection data. The second set of reflection data only reflects the spatial shape and volume of the net brine space 21. It can be obtained using other detection methods that are different from the above-mentioned method of processing and interpreting the sound waves refracted from the goaf 20 to the surrounding rock 50. Since only the net brine space 21 is detected, the detection difficulty in this field is low and the detection technology is mature. Sonar detection is generally used. Other detection methods other than sonar detection can also be used, such as a detection method based on a salt rock cavity morphology and volume measurement device including an optical fiber gas-liquid interface meter. Since the acquisition of the second set of reflection data only involves the detection of the net brine space 21, the filling material in the net brine space 21 is brine, and the detection technology is mature, thereby ensuring the accuracy of the second set of reflection data.

[0040] Please refer to Figure 1After obtaining the first set of reflection data and the second set of reflection data, the data corresponding to the net brine space 21 in the first set of reflection data is compared with the second set of reflection data based on the obtained first set of reflection data and the second set of reflection data. The data deviation degree value is obtained by comparison. The data deviation degree value reflects the degree of deviation between the data corresponding to the net brine space 21 in the first set of reflection data and the second set of reflection data. The second set of reflection data is identified as the standard value. The data deviation degree value reflects the degree of deviation between the data corresponding to the net brine space 21 in the first set of reflection data and the standard value. The degree of deviation is specifically reflected in the size of the data difference.

[0041] Since the second set of reflected data is recognized as the standard value, the measurement accuracy of the detection method of the second set of reflected data needs to be strictly required. For example, the measurement error of the detection method of the second set of reflected data may be required to be no more than 0.5m.

[0042] In the process of comparing the data corresponding to the net brine space 21 in the first set of reflection data with the second set of reflection data and obtaining the data deviation value, the present application provides a comparison method that does not use the data of the first set of reflection data itself for comparison; instead, it can use three-dimensional image processing software, based on the position information of the sound waves when they are refracted along the rock wall of the goaf 20 in the interpretation results of the signal processing and interpretation equipment 400, to connect and surface the spatial points represented by a certain number of acquired position information, and finally obtain the mining space shape and volume of the entire goaf 20, and use the obtained mining space shape and volume for comparison.

[0043] In the process of obtaining the data deviation degree value through comparison, it involves connecting the spatial points represented by the position information of the sound waves expressed by the first set of reflection data when they are refracted along the rock wall of the surrounding rock, and performing surface operations on the spatial points through three-dimensional image processing software to obtain the spatial form and volume of the net brine space represented by the first set of reflection data. The data deviation degree value is obtained by comparing the spatial form of the net brine space represented by the first set of reflection data with the spatial form of the net brine space represented by the second set of reflection data, and by comparing the volume of the net brine space represented by the first set of reflection data with the volume of the net brine space represented by the second set of reflection data.

[0044] It can be understood that the degree of deviation of the data corresponding to the clean brine space 21 in the first set of reflected data is the same as the degree of deviation of the data corresponding to the sediment space 22 in the first set of reflected data. When the degree of deviation of the data corresponding to the clean brine space 21 in the first set of reflected data meets the requirements, the data corresponding to the sediment space 22 can also be deemed as data with guaranteed accuracy.

[0045] Please refer to Figure 1After obtaining the data deviation value, a relative judgment is made between the data deviation value and the preset limit value. The preset limit value is data set in advance and is reasonably limited according to actual production needs. Preset limits are set for spatial form and volume respectively. For example, the preset limit value for spatial volume is 5%. When the volume error is within 5%, it can be determined that the detection accuracy of the detection method meets the requirements. The relative judgment of the data deviation value and the preset limit value is divided into two situations. One is that the data deviation value is greater than the preset limit value, and the other is that the data deviation value is less than or equal to the preset limit value. The data deviation value is less than or equal to the preset limit value, which means that the first set of data reflects that the measurement requirements of accuracy are met. The situation where the data deviation value is less than or equal to the preset limit is the situation that needs to be achieved.

[0046] Please refer to Figure 1 When the data deviation value is greater than the preset limit, the processing and interpretation method for obtaining the first set of reflection data is optimized, such as optimizing the positioning principle and algorithm in the processing and interpretation method; the optimized processing and interpretation method again processes and interprets the sound waves refracted from the goaf 20 to the surrounding rock 50 to obtain a new first set of reflection data, and continues to obtain the current data deviation value and compare the data deviation value with the preset limit; if the data deviation value is still greater than the preset limit, continue to optimize; if the data deviation value is less than or equal to the preset limit, proceed to the next step of processing.

[0047] When the data deviation value is less than or equal to the preset limit, it means that the data corresponding to the net brine space 21 in the first set of reflection data is close to, consistent with, and has a small error with the second set of reflection data. For example, the error representing the measurement accuracy cannot exceed 0.5m. At this time, the next step of processing is entered. It can be considered that the first set of reflection data can accurately reflect the spatial shape and volume of the goaf 20, and the first set of reflection data will be used as the detection data of the spatial shape and volume of the goaf 20 and put into subsequent applications.

[0048] By using the detection method of the present application, the spatial shape and volume of the sediment space 22 in the goaf 20 can be accurately obtained, and the spatial shape and volume of the net brine space in the goaf 20 can also be obtained, which effectively solves the problem that the spatial shape of the goaf 20 of high-impurity salt mines is difficult to detect, and is of great significance to the efficient utilization of high-impurity salt mine energy storage and the reliable control and management of underground salt mine resource mining.

[0049] The above involves optimizing the processing and interpretation methods for obtaining the first set of reflection data. This can be done by optimizing the acoustic signal extraction method, optimizing the positioning model of the surrounding rock 50 wall refraction points, or optimizing the positioning algorithm, so that the first set of reflection data obtained by the optimized processing and interpretation method can meet the limitation that the data deviation value is less than or equal to the preset limit.

[0050] The present application also provides a spatial shape and volume detection system 10 for a high-impurity salt mine goaf 20, hereinafter referred to as the detection system 10. The detection system 10 can be applied to the above-mentioned spatial shape and volume detection method for a high-impurity salt mine goaf 20, and ultimately obtain accurate detection data of the spatial shape and volume of the goaf 20.

[0051] Please refer to Figure 1 and Figure 2 The detection system 10 includes an acoustic wave exciter 100, which is installed in the clean brine space of the goaf 20, and the acoustic wave exciter 100 does not contact the sediment accumulation body. The detection system 10 also includes a starter 200 that is control-connected to the acoustic wave exciter 100, and the starter 200 is used to control whether the acoustic wave exciter 100 is started or not. In some embodiments, the starter 200 is located above the ground surface 61 and the starter 200 is control-connected to the acoustic wave exciter 100 via a cable. Cable transmission belongs to wired transmission, which has the advantages of high stability and not being easily affected by external interference. Alternatively, a method other than cable transmission, such as wireless transmission, can be used to realize the control connection between the starter 200 and the acoustic wave exciter 100. The acoustic wave exciter 100 can be an air cannon launcher, an underwater explosive blaster, and a high-power underwater acoustic wave transmitter. When the acoustic wave exciter 100 is started, an acoustic wave signal can be sent to the goaf 20. The acoustic waves sent by the acoustic wave exciter 100 propagate in all directions of the goaf 20. Due to the huge physical and mechanical differences between brine, sediment accumulation and the goaf surrounding rock 50, the acoustic waves propagating in all directions will undergo obvious reflection and refraction after encountering the wall of the goaf surrounding rock 50. The reflected sound waves return to the goaf 20, and the refracted sound waves continue to propagate in all directions along the rock.

[0052] The detection system 10 further includes an acoustic wave receiver 300, which is used to receive acoustic wave signals, specifically, to receive acoustic wave signals refracted from the goaf 20 into the surrounding rock 50. In order to successfully receive the acoustic wave signals, please refer to Figure 3 An auxiliary wellbore 40 is opened around the goaf 20. The auxiliary wellbore 40 is spaced apart from the goaf 20. The auxiliary wellbore 40 can be a wellbore that previously existed around the goaf 20, or a wellbore specially drilled around the goaf 20.

[0053] The detection system 10 also includes a signal processing and interpretation device 400, please refer to Figure 3 The signal processing and interpretation device 400 is signal-connected to the acoustic wave receiver 300. This connection can be achieved using a cable. Cable transmission is a wired method with the advantages of high stability and resistance to external interference. Alternatively, the connection between the signal processing and interpretation device 400 and the acoustic wave receiver 300 can be achieved using methods other than cable transmission, such as wireless transmission. The function of the signal processing and interpretation device 400 is to output a first set of data reflecting the spatial shape and volume of the goaf 20 based on the acoustic wave signals transmitted by the acoustic wave receiver 300. The signal processing and interpretation device 400 has multiple functions, including but not limited to large-capacity storage space, real-time transmission and reception, anti-interference performance, and powerful interpretation and processing capabilities. The signal processing and interpretation device 400 stores, processes, and interprets the acoustic wave signals transmitted by the acoustic wave receiver 300. The interpretation results primarily include positional information as the acoustic waves refract along the rock wall of the goaf 20. In some embodiments, three-dimensional image processing software is used to connect and surface the spatial points represented by a certain number of acquired position information based on the position information of the sound waves when they are refracted along the rock wall of the goaf 20 in the interpretation results, and finally the mining spatial shape and volume of the entire goaf 20 are obtained.

[0054] In some embodiments, the detection system 10 further includes a control unit, which is signal-connected to the signal processing and interpretation device 400 to facilitate coordination between the control unit and the signal processing and interpretation device 400. The control unit compares the data corresponding to the net brine space 21 in the goaf 20 in the first set of reflection data with the second set of reflection data. The second set of reflection data only reflects the spatial morphology and volume of the net brine space 21. This data can be obtained using a different detection method than the aforementioned method of processing and interpreting the sound waves refracted from the goaf 20 into the surrounding rock 50. Since only the net brine space 21 is detected, the detection difficulty in this area is low and the detection technology is mature. Sonar detection is generally used. Other detection methods besides sonar detection can also be used, such as detection based on a device for measuring the morphology and volume of salt rock cavities, including a fiber optic gas-liquid interface meter. Since the acquisition of the second set of reflection data only involves the detection of the net brine space 21, which is filled with brine and for which the detection technology is mature, the accuracy of the second set of reflection data is guaranteed.

[0055] The control unit compares the data corresponding to the net brine space 21 of the goaf 20 in the first set of reflection data with the second set of reflection data, and obtains the data deviation value of the current time through comparison. The data deviation value reflects the degree of deviation between the data corresponding to the net brine space 21 in the first set of reflection data and the second set of reflection data. The second set of reflection data is identified as the standard value. The data deviation value reflects the degree of deviation between the data corresponding to the net brine space 21 in the first set of reflection data and the standard value. The degree of deviation is specifically reflected in the size of the data difference.

[0056] In the process of comparing the data corresponding to the net brine space 21 in the first set of reflection data with the second set of reflection data and obtaining the data deviation value, the present application provides a comparison method that does not use the data of the first set of reflection data itself for comparison; instead, it can use three-dimensional image processing software, based on the position information of the sound waves when they are refracted along the rock wall of the goaf 20 in the interpretation results of the signal processing and interpretation equipment 400, to connect and surface the spatial points represented by a certain number of acquired position information, and finally obtain the mining space shape and volume of the entire goaf 20, and use the obtained mining space shape and volume for comparison.

[0057] In the process of obtaining the data deviation degree value through comparison, it involves connecting the spatial points represented by the position information of the sound waves expressed by the first set of reflection data when they are refracted along the rock wall of the surrounding rock, and performing surface operations on the spatial points through three-dimensional image processing software to obtain the spatial form and volume of the net brine space represented by the first set of reflection data. The data deviation degree value is obtained by comparing the spatial form of the net brine space represented by the first set of reflection data with the spatial form of the net brine space represented by the second set of reflection data, and by comparing the volume of the net brine space represented by the first set of reflection data with the volume of the net brine space represented by the second set of reflection data.

[0058] In the control unit, it is determined whether the data deviation value is greater than the preset limit; if the data deviation value is greater than the preset limit, the processing and interpretation method of the signal processing and interpretation device 400 is optimized until the data deviation value is less than or equal to the preset limit.

[0059] Specifically, after obtaining the data deviation value, a relative judgment is made between the data deviation value and the preset limit value. The preset limit value is data set in advance, and is reasonably limited according to actual production needs. Preset limits are set for spatial form and volume respectively. For example, the preset limit value for spatial volume is 5%. When the volume error is within 5%, it can be determined that the detection accuracy of the detection method meets the requirements. The relative judgment of the data deviation value and the preset limit value is divided into two situations. One is that the data deviation value is greater than the preset limit value, and the other is that the data deviation value is less than or equal to the preset limit value. The data deviation value is less than or equal to the preset limit value, which means that the first group of data reflected at that time meets the measurement requirements of accuracy. The situation where the data deviation value is less than or equal to the preset limit is a situation that needs to be achieved.

[0060] When the data deviation value is greater than the preset limit, the processing and interpretation method for obtaining the first set of reflection data is optimized, such as optimizing the positioning principle and algorithm in the processing and interpretation method; the optimized processing and interpretation method again processes and interprets the sound waves refracted from the goaf 20 to the surrounding rock 50 to obtain a new first set of reflection data, and continues to obtain the current data deviation value and compare the data deviation value with the preset limit; if the data deviation value is still greater than the preset limit, continue to optimize; if the data deviation value is less than or equal to the preset limit, proceed to the next step of processing.

[0061] When the data deviation value is less than or equal to the preset limit, it means that the data corresponding to the net brine space 21 in the first set of reflection data is close to, consistent with, and has a small error with the second set of reflection data. For example, the error representing the measurement accuracy cannot exceed 0.5m. At this time, the next step of processing is entered. It can be considered that the first set of reflection data can accurately reflect the spatial shape and volume of the goaf 20, and the first set of reflection data will be used as the detection data of the spatial shape and volume of the goaf 20 and put into subsequent applications.

[0062] In order to improve the propagation effect of the sound waves emitted by the acoustic wave exciter 100 within the sediment accumulation body of the sediment space 22, in some embodiments, the acoustic wave exciter 100 is placed close to the sediment accumulation body of the sediment space 22, specifically, close to the interface between the sediment space 22 and the clean brine space in the goaf 20. In actual application, the interface between the sediment space 22 and the clean brine space in the goaf 20 and the acoustic wave exciter 100 can be 5 cm to 20 cm apart.

[0063] In this detection system 10, at least one auxiliary wellbore 40 is opened around the goaf 20, and at least two acoustic wave receivers 300 are set in each auxiliary wellbore 40, and the acoustic wave receivers 300 in the auxiliary wellbore 40 are spaced apart from each other in the height direction so as to obtain sufficient acoustic wave signals refracted from the goaf 20 to the surrounding rock 50.

[0064] In order to make the sound wave receiver 300 have a better receiving effect, in some embodiments, please refer to Figure 3 , it is limited that H is greater than L, H is the longitudinal distance between the highest acoustic wave receiver 300 and the lowest acoustic wave receiver 300 in the auxiliary wellbore 40, and L is the minimum horizontal distance between the auxiliary wellbore 40 and the goaf 20.

[0065] In order to make the acoustic wave receiver 300 have a better reception effect on the acoustic wave signal, in some embodiments, the bottom end of the auxiliary shaft 40 is lower than the bottom end of the goaf 20. Figure 3 The height of the lowest acoustic wave receiver 300 in the auxiliary shaft 40 is close to the height of the bottom end of the goaf 20, and the degree of height closeness can be within 20 cm, thereby further improving the acoustic wave receiver 300's receiving effect on the acoustic wave signal.

[0066] In some embodiments, please refer to Figure 4 The detection system 10 also includes a sealing plug 31. The sealing plug 31 is detachably installed in the connecting shaft 30. The connecting shaft 30 is a shaft that leads from the goaf 20 to the surface 61. Specifically, before the detection operation is carried out on the goaf 20, the sealing plug 31 is installed in place, the connecting shaft 30 is blocked by the sealing plug 31, and then the detection operation of the spatial form and volume of the goaf 20 is carried out. The sealing plug 31 can reduce the degree of loss of the sound waves emitted by the acoustic wave exciter 100 along the connecting shaft 30, which is beneficial to increase the reception volume of the acoustic wave receiver 300, thereby increasing the number of acoustic wave signals that can be used by the signal processing and interpretation equipment 400, and improving the reliability and accuracy of the first set of reflected data.

[0067] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0068] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for detecting the spatial form and volume of a high-impurity salt mine goaf, characterized in that: The detection method comprises: Acquire a first set of data reflecting the spatial form and volume of the goaf; Obtain a second set of data reflecting the spatial form and volume of the net brine space in the goaf; Comparing the data corresponding to the net brine space in the first set of reflection data with the second set of reflection data to obtain a data deviation value; Determine whether the data deviation value is greater than a preset limit; If the data deviation value is greater than the preset limit, optimizing the processing and interpretation method at that time until the data deviation value is less than or equal to the preset limit; If the data deviation value is less than or equal to the preset limit value, the first set of reflection data is used as the detection data of the spatial shape and volume of the goaf.

2. The detection method according to claim 1, characterized in that: In the process of comparing and obtaining the data deviation value, based on the position information of the sound wave expressed by the first group of reflection data when it is refracted along the rock wall of the surrounding rock, the spatial points represented by the position information are connected and surfaced using three-dimensional image processing software to obtain the spatial shape and volume of the net brine space represented by the first group of reflection data, and the data deviation value is obtained by comparing the spatial shape and volume of the net brine space represented by the first group of reflection data and the second group of reflection data respectively.

3. The detection method according to claim 1, characterized in that: A first set of data reflecting the spatial shape and volume of the goaf is obtained by processing and interpreting the sound waves refracted from the goaf into the surrounding rock.

4. The detection method according to claim 1, characterized in that: A second set of data reflecting the spatial shape and volume of the net brine space in the goaf is obtained by using other detection methods other than the processing and interpretation method.

5. A system for detecting the spatial form and volume of a high-impurity salt mine goaf, characterized in that: The detection system comprises: An acoustic wave exciter is installed in the clean brine space of the goaf, and the acoustic wave exciter is used to send an acoustic wave signal to the goaf; A starter, connected to the acoustic exciter for control; an acoustic wave receiver installed in an auxiliary wellbore opened around the goaf, the acoustic wave receiver being used to receive acoustic wave signals refracted from the goaf into the surrounding rock; and The signal processing and interpretation equipment is connected to the acoustic wave receiver signal, and the signal processing and interpretation equipment is used to obtain a first set of reflection data of the spatial shape and volume of the goaf according to the acoustic wave signal transmitted by the acoustic wave receiver.

6. The detection system according to claim 5, characterized in that The detection system also includes: A control unit is signal-connected to the signal processing and interpretation device, and is used to compare the data corresponding to the net brine space in the goaf in the first group of reflection data with a second group of reflection data on the spatial shape and volume of the net brine space obtained by other detection methods other than the acoustic wave processing and interpretation method of the goaf refracted into the surrounding rock, and obtain a data deviation value by comparison, and determine whether the data deviation value is greater than a preset limit value. If the data deviation value is greater than the preset limit value, optimize the processing and interpretation method of the signal processing and interpretation device until the data deviation value is less than or equal to the preset limit value, and control the signal processing and interpretation device to output the first group of reflection data under the condition that the data deviation value is less than or equal to the preset limit value.

7. The detection system according to claim 5, characterized in that The interface between the sediment space in the goaf and the clean brine space is 5cm-20cm away from the acoustic wave exciter.

8. The detection system according to claim 5, characterized in that At least one auxiliary shaft is opened around the goaf, and each auxiliary shaft is provided with at least two acoustic wave receivers spaced apart from each other in the height direction.

9. The detection system according to claim 8, characterized in that The longitudinal distance between the highest acoustic wave receiver and the lowest acoustic wave receiver in the auxiliary wellbore is greater than the minimum horizontal distance between the auxiliary wellbore and the goaf.

10. The detection system according to any one of claims 5 to 9, characterized in that: The goaf is connected to a connecting shaft that leads to the ground surface, and the detection system also includes a sealing plug that can be detachably installed on the connecting shaft.

Images