Safety monitoring system and method for coal mine underground reservoir coal pillar dam body

Abstract

The invention relates to the technical field of safety monitoring and early warning, and particularly provides a safety monitoring system and method for a coal mine underground reservoir coal pillar dam body. The system comprises a data acquisition device configured to be used for acquiring real-time monitoring data of a coal mine underground reservoir coal pillar dam body and sending the real-time monitoring data to a data analysis device; wherein the real-time monitoring data comprises deformation monitoring data, stress monitoring data, water body monitoring data and meteorological monitoring data; the data analysis device is configured to be used for receiving the real-time monitoring data; substituting the real-time monitoring data into a pre-constructed safety coefficient calculation model to obtain a current safety coefficient of the coal pillar dam body; if the current safety coefficient meets a preset early warning condition, starting an early warning device, and sending an early warning result corresponding to the current safety coefficient to the early warning device; and the early warning device is configured to receive the early warning result and perform early warning based on the early warning result. The safety monitoring accuracy of the coal mine underground reservoir coal pillar dam body can be improved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of safety monitoring and early warning, and in particular to a safety monitoring system and method for a coal column dam of a coal mine underground reservoir. BACKGROUND

[0002] Safety monitoring of a coal column dam of a coal mine underground reservoir is an important task, aiming to ensure the safe storage and management of water during coal mining and prevent water disaster accidents caused by instability of the coal column dam.

[0003] In related technologies, the coal column dam can be monitored and early warning can be performed through seepage pressure, but the monitoring result of this monitoring method is not accurate. SUMMARY

[0004] The present disclosure is proposed in view of the above problems. The present disclosure provides a safety monitoring system and method for a coal column dam of a coal mine underground reservoir.

[0005] According to one aspect of the present disclosure, a safety monitoring system for a coal column dam of a coal mine underground reservoir is provided, comprising a data acquisition device, a data analysis device and an early warning device connected in sequence; The data acquisition device is configured to acquire real-time monitoring data of the coal column dam in the coal mine underground reservoir and send the real-time monitoring data to the data analysis device; wherein the real-time monitoring data comprises deformation monitoring data, stress monitoring data, water body monitoring data and weather monitoring data; The data analysis device is configured to receive the real-time monitoring data; substitute the real-time monitoring data into a pre-constructed safety factor calculation model to obtain a current safety factor of the coal column dam; if the current safety factor meets a preset early warning condition, start the early warning device and send an early warning result corresponding to the current safety factor to the early warning device; The early warning device is configured to receive the early warning result and perform early warning based on the early warning result.

[0006] According to another aspect of the present disclosure, a safety monitoring method for a coal column dam of a coal mine underground reservoir is provided, applied to a safety monitoring system for a coal column dam of a coal mine underground reservoir provided by an embodiment of the present disclosure, the system comprising a data acquisition device, a data analysis device and an early warning device connected in sequence; the method comprises: The data acquisition device acquires real-time monitoring data of the coal column dam in the coal mine underground reservoir and sends the real-time monitoring data to the data analysis device; wherein the real-time monitoring data comprises deformation monitoring data, stress monitoring data, water body monitoring data and weather monitoring data; The data analysis device receives the real-time monitoring data, substitutes the real-time monitoring data into a pre-constructed safety factor calculation model to obtain a current safety factor of the coal-pillar dam body, and if the current safety factor meets a preset early warning condition, starts the early warning device and sends an early warning result corresponding to the current safety factor to the early warning device. The early warning device receives the early warning result and performs early warning based on the early warning result.

[0007] As will be described in detail below, the safety monitoring system of the coal-pillar dam body of the underground reservoir of the coal mine according to the embodiments of the present disclosure includes: a data acquisition device configured to acquire real-time monitoring data of the coal-pillar dam body in the underground reservoir of the coal mine and send the real-time monitoring data to a data analysis device; wherein the real-time monitoring data includes deformation monitoring data, stress monitoring data, water body monitoring data and meteorological monitoring data; the data analysis device is configured to receive the real-time monitoring data; substitute the real-time monitoring data into a pre-constructed safety factor calculation model to obtain a current safety factor of the coal-pillar dam body; if the current safety factor meets a preset early warning condition, start the early warning device and send an early warning result corresponding to the current safety factor to the early warning device; and the early warning device is configured to receive the early warning result and perform early warning based on the early warning result. The safety monitoring system of the coal-pillar dam body of the underground reservoir of the coal mine can comprehensively monitor the safety performance of the coal-pillar dam body of the underground reservoir of the coal mine in combination with the real-time monitoring data such as the deformation monitoring data, the stress monitoring data, the water body monitoring data and the meteorological monitoring data, breaks the limitation of the traditional monitoring which only focuses on the coal-pillar dam body itself, can more comprehensively reveal the mechanism of instability of the coal-pillar dam body, and improves the accuracy of the safety performance monitoring result. Meanwhile, the safety state of the coal-pillar dam body is quantified in real time through the current safety factor, and the safety performance of the coal-pillar dam body of the underground reservoir of the coal mine is graded and early warned, which fundamentally improves the safety management level of the underground reservoir of the coal mine.

[0008] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only, and are intended to provide further explanation of the technology claimed. BRIEF DESCRIPTION OF DRAWINGS

[0009] The foregoing and other objects, features and advantages of the present disclosure will become more apparent from the following detailed description, which proceeds with reference to the accompanying drawings. The accompanying drawings are provided to assist in understanding the present disclosure and constitute a part of the specification, which illustrate the embodiments of the present disclosure together with the detailed description, but do not limit the present disclosure. In the drawings, the same reference numerals generally indicate the same components or steps throughout the drawings.

[0010] Figure 1 An architecture schematic diagram of the safety monitoring system of the coal-pillar dam body of the underground reservoir of the coal mine provided by the exemplary embodiments of the present disclosure is shown; Figure 2A principle block diagram of a safety monitoring system of a coal pillar dam of a coal mine underground reservoir is shown. Figure 3 A flowchart of a safety monitoring method of a coal pillar dam of a coal mine underground reservoir is shown. DETAILED DESCRIPTION

[0011] In order to make the objectives, technical solutions and advantages of the present disclosure more apparent, the following will describe the example embodiments according to the present disclosure in detail with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited to the example embodiments described herein.

[0012] It should be understood that each step described in the method embodiments of the present disclosure can be executed in different orders and / or in parallel. In addition, the method embodiments can include additional steps and / or omit the execution of the steps shown. The scope of the present disclosure is not limited in this respect.

[0013] The term “comprising” and variations thereof as used herein are open-ended, that is, “including but not limited to”. The term “based on” is “based, at least in part, on”. The term “one embodiment” means “at least one embodiment”; the term “another embodiment” means “at least one additional embodiment”; the term “some embodiments” means “at least some embodiments”. Related definitions will be given in the description below. It should be noted that the concepts of “first”, “second”, etc. mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not intended to limit the order or interdependence of the functions performed by these devices, modules or units.

[0014] It should be noted that the modification of “one” or “multiple” mentioned in the present disclosure is illustrative rather than limiting, and those skilled in the art should understand that, unless otherwise explicitly indicated in the context, it should be understood as “one or more”.

[0015] The names of the messages or information exchanged between the multiple devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0016] Through regular monitoring and scientific management, the safety risks of the coal pillar dam can be effectively prevented and controlled. Deformation monitoring, stress monitoring, seepage monitoring, temperature monitoring and crack monitoring are performed on the coal pillar dam, and the safety monitoring of the coal pillar dam of the coal mine underground reservoir is a systematic project, which needs to comprehensively use multiple technologies and means to establish a perfect monitoring system and ensure the safe operation of the coal mine.

[0017] The embodiments of the present disclosure provide a safety monitoring system of a coal pillar dam of a coal mine underground reservoir,Figure 1 An architecture diagram of a safety monitoring system of a coal pillar dam of a coal mine underground reservoir is shown. As shown in the figure, the safety monitoring system of the coal pillar dam of the coal mine underground reservoir comprises a data acquisition device 100, a data analysis device 200 and a warning device 300 connected in sequence. Figure 1 The data acquisition device 100 is configured to acquire real-time monitoring data of the coal pillar dam in the coal mine underground reservoir and send the real-time monitoring data to the data analysis device 200; wherein the real-time monitoring data comprises deformation monitoring data, stress monitoring data, water body monitoring data and weather monitoring data. The data analysis device 200 is configured to receive the real-time monitoring data; substitute the real-time monitoring data into a pre-constructed safety coefficient calculation model to obtain a current safety coefficient of the coal pillar dam; if the current safety coefficient satisfies a preset warning condition, start the warning device 300 and send a warning result corresponding to the current safety coefficient to the warning device 300. The warning device 300 is configured to receive the warning result and perform warning based on the warning result.

[0018] Specifically, the connection mode between the data acquisition device 100 and the data analysis device 200 and the connection mode between the data analysis device 200 and the warning device 300 can be signal connection, can be electrical connection, or can be other connection modes, as long as data transmission can be performed, which is selected according to actual needs, and the embodiments of the present disclosure do not make specific limitations thereon.

[0019] In order to comprehensively evaluate the safety performance of the coal pillar dam of the coal mine underground reservoir, when acquiring the real-time monitoring data of the coal pillar dam, the embodiments of the present disclosure not only can include traditional deformation monitoring data and stress monitoring data, but also innovatively introduce water body monitoring data and weather monitoring data. This multi-parameter and interdisciplinary monitoring mode breaks the limitation of traditional monitoring which only focuses on the coal pillar dam itself, and can more comprehensively reveal the mechanism of instability of the coal pillar dam.

[0020] For example, continuous heavy rainfall (weather monitoring data) can cause the underground water level to rise sharply (water body monitoring data), thereby increasing the lateral pressure of the coal pillar dam (stress monitoring data), and finally causing significant deformation (deformation monitoring data). Based on this, the safety monitoring system of the coal pillar dam of the coal mine underground reservoir can capture this complete causal chain and provide a data basis for accurate early warning.

[0021] ​On this basis, the data analysis device 200 can analyze the safety performance of the coal pillar dam body of the underground reservoir of the coal mine after receiving the real-time monitoring data. For example, the embodiment of the present disclosure can pre-construct a safety factor calculation model, then substitute the real-time monitoring data into the safety factor calculation model, calculate the current safety factor of the coal pillar dam body, and in the case that the current safety factor meets the preset warning condition, start the warning device 300 and send the warning result corresponding to the current safety factor to the warning device 300, so that the warning device 300 performs warning based on the warning result after receiving the warning result.

[0022] Here, the safety monitoring system of the coal pillar dam body of the underground reservoir of the coal mine in the embodiment of the present disclosure not only focuses on the related data of the underground coal pillar dam body, but also focuses on the influence of the water level change caused by the rainfall, greatly improving the effectiveness of the warning.

[0023] Moreover, the embodiment of the present disclosure can quantify the safety performance of the coal pillar dam body of the underground reservoir of the coal mine by calculating the current safety factor, and perform graded warning on the safety performance of the coal pillar dam body of the underground reservoir of the coal mine. Different warning results corresponding to the current safety factor can correspond to different warning schemes, so that relevant personnel can quickly start corresponding disposal measures, so that the emergency management changes from “experience-driven” to “data-driven”, and the monitoring result of the safety performance of the coal pillar dam body of the underground reservoir of the coal mine is more scientific and accurate.

[0024] According to the technical scheme provided by the embodiment of the present disclosure, the safety monitoring system of the coal pillar dam body of the underground reservoir of the coal mine comprises: a data acquisition device configured to acquire real-time monitoring data of the coal pillar dam body in the underground reservoir of the coal mine and send the real-time monitoring data to a data analysis device; wherein the real-time monitoring data comprises deformation monitoring data, stress monitoring data, water body monitoring data and meteorological monitoring data; the data analysis device is configured to receive the real-time monitoring data; substitute the real-time monitoring data into a pre-constructed safety factor calculation model to obtain the current safety factor of the coal pillar dam body; if the current safety factor meets the preset warning condition, start a warning device and send the warning result corresponding to the current safety factor to the warning device; the warning device is configured to receive the warning result and perform warning based on the warning result. The safety monitoring system of the coal pillar dam body of the underground reservoir of the coal mine can combine the real-time monitoring data such as deformation monitoring data, stress monitoring data, water body monitoring data and meteorological monitoring data to monitor the safety performance of the coal pillar dam body of the underground reservoir of the coal mine in all directions, break the limitation of traditional monitoring which only focuses on the coal pillar dam body itself, and can more comprehensively reveal the mechanism of instability of the coal pillar dam body, thereby improving the accuracy of the safety performance monitoring result. At the same time, the current safety factor can be used to quantify the safety state of the coal pillar dam body in real time, and the safety performance of the coal pillar dam body of the underground reservoir of the coal mine is graded and warned, thereby fundamentally improving the safety management level of the underground reservoir of the coal mine.

[0025] In some embodiments,Figure 2 A principle block diagram of a safety monitoring system of a coal pillar dam of a coal mine underground reservoir is shown in FIG. 1. Figure 2 As shown in FIG. 1, the data acquisition device 100 comprises a data collector 110, and a deformation monitoring mechanism 120, a stress monitoring mechanism 130, a water body monitoring mechanism 140 and a meteorological monitoring mechanism 150 connected with the data collector 110. The data collector 110 is configured to collect deformation monitoring data of the coal pillar dam through the deformation monitoring mechanism 120, collect deformation monitoring data of the coal pillar dam through the stress monitoring mechanism 130, collect water body monitoring data of the coal pillar dam through the water body monitoring mechanism 140, and collect meteorological monitoring data of the coal pillar dam through the meteorological monitoring mechanism 150.

[0026] Specifically, the data collector 110 can acquire and store the data collected by the deformation monitoring mechanism 120, the stress monitoring mechanism 130, the water body monitoring mechanism 140 and the meteorological monitoring mechanism 150 in real time.

[0027] The data collector 110 performs time calibration on the four types of monitoring data through a unified time stamp (such as GPS time or Beidou synchronization), so as to ensure that the deformation monitoring data, the stress monitoring data, the water body monitoring data and the meteorological monitoring data at the same time can be correlated and analyzed. For example, when the “sudden rise of reservoir water level (water body monitoring data) + sudden increase of stress of coal pillar dam (stress monitoring data) + acceleration of horizontal displacement (deformation monitoring data)” are monitored to occur synchronously, it can be more accurately judged that the stress imbalance of the dam is caused by water level load, rather than accidental fluctuation of a single factor.

[0028] The original data formats of different monitoring mechanisms may be different, and the data collector 110 can perform standardization processing (such as unified conversion into digital signals or structured data) on them, so as to avoid processing errors of the subsequent data analysis device 200 due to format incompatibility, improve data flow efficiency, and realize reduction of analysis threshold through data format standardization.

[0029] The data collector 110 can dynamically adjust the collection frequency of each mechanism according to the monitoring scene requirements (such as collecting once every hour under normal state, and increasing to once every minute in heavy rain or stress anomaly). Such differentiated collection strategy can not only guarantee data density in high-risk period, but also reduce equipment energy consumption and data storage pressure in stable period, and prolong the system endurance.

[0030] Meanwhile, the modular architecture of “one collector + four types of monitoring mechanisms” of the data acquisition device 100 has significant technical advantages in equipment maintenance and function expansion, which not only can realize single-point fault isolation and reduce the risk of system paralysis, but also can flexibly increase monitoring mechanisms or upgrade equipment according to the actual requirements of the coal mine underground reservoir, adapt to complex scenes, and ensure long-term stable operation of the system.

[0031] In some embodiments, the deformation monitoring data includes the amount of settlement and the amount of crack development, the stress monitoring data includes stress, strain and temperature, the water body monitoring data includes water level, water pressure, seepage pressure and water quality, and the weather monitoring data includes real-time rainfall in the area where the coal pillar dam is located. As shown in Figure 2 The deformation monitoring mechanism 120 includes a level 121 for monitoring the amount of settlement and a crack gauge 122 for monitoring the amount of crack development. The stress monitoring mechanism 130 includes an optical fiber sensor for monitoring stress, strain and temperature. The water body monitoring mechanism 140 includes a water level sensor for monitoring water level, a water pressure sensor for monitoring water pressure, a seepage gauge for monitoring seepage pressure, and a water quality sensor for monitoring water quality. The weather monitoring mechanism 150 includes a weather data acquisition unit for monitoring real-time rainfall.

[0032] Specifically, the level 121 can obtain the amount of settlement of the coal pillar dam in real time (the accuracy can reach millimeter level) by multi-point arrangement (such as setting multiple monitoring points on the top, middle or bottom of the coal pillar dam), which can capture the uneven settlement of the whole or part of the coal pillar dam.

[0033] The crack gauge 122 monitors the cracks on the surface or inside of the dam. The gauge can monitor the development amount of crack width and length in real time through contact measurement (such as being pasted on both sides of the crack).

[0034] The optical fiber sensor can simultaneously collect the stress (such as vertical compressive stress) of the coal pillar dam, the strain (such as axial expansion and contraction deformation) and the environmental temperature. It has the technical advantage of adapting to the underground environment of the coal mine. Compared with the traditional electrical sensor, the optical fiber sensor has the characteristics of anti-electromagnetic interference, high humidity and dust resistance, and corrosion resistance. Its technical effect is reflected in the following aspects: maintaining signal stability in the strong electromagnetic environment of the coal mine underground (such as equipment start-stop and cable interference), avoiding data jumping; long-term embedding in the coal pillar or dam structure is not easy to age, reducing the maintenance frequency (traditional sensors may be short-circuited and fail due to damp), and ensuring data continuity.

[0035] In the water body monitoring mechanism 140, the combination of the water level sensor, the water pressure sensor, the seepage gauge and the water quality sensor realizes the whole-chain monitoring of “water body load-seepage pressure-seepage damage degree”, avoiding the risk of misjudgment due to a single index (such as only looking at the normal water level but the seepage pressure is over limit).

[0036] In the weather monitoring mechanism 150, the weather data acquisition unit focuses on real-time rainfall monitoring, providing a prediction basis for the “external cause” of the safety of the coal pillar dam, avoiding the risk of sudden increase of the load of the coal pillar dam caused by sudden rise of water level.

[0037] In some embodiments, the data acquisition device 100 further comprises an image acquisition mechanism connected with the data collector 110; The data collector 110 is further configured to acquire image data and internal state data of the coal pillar dam body through the image acquisition mechanism; The data analysis device 200 is further configured to construct a coal pillar dam body model of the coal pillar dam body based on the image data and the internal state data, and adjust the arrangement position of the data acquisition device 100 on the coal pillar dam body according to the coal pillar dam body model.

[0038] Specifically, as shown in Figure 2 The image acquisition mechanism comprises a mounting seat 161 arranged at the bottom of the coal pillar dam body, an extension arm 163 arranged on the mounting seat 161 through a rotating motor 162, and a plurality of linearly distributed image collectors and acoustic wave sensors mounted on the extension arm 163; wherein the acoustic wave sensors, the image collectors, the extension arm 163 and the rotating motor 162 are electrically connected with a controller in the mounting seat 161, and the controller is in communication with the data collector 110.

[0039] The image collector can include but is not limited to a high-definition industrial camera, an infrared thermal imager, an underground endoscope, etc., which can acquire image data and internal state data of the coal pillar dam body. Here, the image data can include but is not limited to the surface topography, crack distribution and water seepage point position of the coal pillar dam body, etc., and the internal state data can include but is not limited to internal fissures, cavities, etc. of the coal pillar dam body.

[0040] The data analysis device 200 can construct a coal pillar dam body model of the coal pillar dam body based on the image data and the internal state data, and adjust the arrangement position of the data acquisition device 100 on the coal pillar dam body according to the coal pillar dam body model.

[0041] For example, high-risk areas in the coal pillar dam body model can be identified by crack distribution, stress concentration area, geological weak zone, etc., and the laying density of sensors can be increased in these high-risk areas in the coal pillar dam body (such as shortening the laying spacing of optical fiber sensors, adding crack meters), to ensure high-frequency and high-precision monitoring of key risk points and avoid missed judgment due to insufficient point layout.

[0042] In the low-risk areas of the coal pillar dam body model (such as areas without obvious cracks in the coal pillar dam body), the number of sensors can be reduced or the acquisition frequency can be reduced at the corresponding positions in the coal pillar dam body, to reduce the equipment procurement, installation and maintenance costs on the premise of ensuring the overall monitoring effect, and avoid resource waste.

[0043] Based on this, the embodiment of the present disclosure dynamically adjusts the arrangement position of the data acquisition device on the coal pillar dam body to adapt to the changes of the coal pillar dam body, so that the monitoring system is always matched with the actual state of the coal pillar dam body, and the late monitoring failure caused by "one-time point arrangement, lifelong unchanged" is avoided.

[0044] In some embodiments, the safety factor calculation model can be:

[0045] wherein Y represents the current safety factor of the coal pillar dam body, represents a deformation weight coefficient, represents a stress weight coefficient, represents a water body weight coefficient, represents a meteorological weight coefficient, f 1 represents a correlation function between the deformation monitoring data and the safety performance of the coal pillar dam body, f 2 represents a correlation function between the stress monitoring data and the safety performance of the coal pillar dam body, f 3 represents a correlation function between the water body monitoring data and the safety performance of the coal pillar dam body, f 4 represents a correlation function between the meteorological monitoring data and the safety performance of the coal pillar dam body.

[0046] wherein the correlation function between the deformation monitoring data and the safety performance of the coal pillar dam body is:

[0047] wherein, represents a settlement transformation amount compared with the last time, represents a crack development amount compared with the last time; the correlation function between the stress monitoring data and the safety performance of the coal pillar dam body is:

[0048] wherein, represents a stress change amount compared with the last time, represents a strain change amount compared with the last time, represents a difference from the standard temperature; the correlation function between the water body monitoring data and the safety performance of the coal pillar dam body is:

[0049] wherein, represents a water level, represents a water pressure, represents a seepage pressure, represents a coefficient of water quality; A correlation function between the meteorological monitoring data and the safety performance of the coal pillar dam body.

[0050]

[0051] wherein, represents a rainfall conversion coefficient, represents real-time rainfall.

[0052] In some embodiments, the early warning result can include a primary early warning, an intermediate early warning, and a high-level early warning. The data analysis device 200 determines that the early warning result corresponding to the current safety coefficient is a primary early warning when the current safety coefficient is less than or equal to a first early warning value and greater than a second early warning value; determines that the early warning result corresponding to the current safety coefficient is an intermediate early warning when the current safety coefficient is less than or equal to the second early warning value and greater than a third early warning value; and determines that the early warning result corresponding to the current safety coefficient is a high-level early warning when the current safety coefficient is less than or equal to the third early warning value.

[0053] Specifically, the data analysis device 200 can include a data analysis terminal and a display connected to the data analysis terminal. Here, the data analysis terminal can perform the steps of processing and analyzing the real-time monitoring data described above, and the data analysis terminal can communicate with the data collector 110. The early warning device 300 can be an audible and visual alarm device.

[0054] The data analysis terminal determines that the early warning result corresponding to the current safety coefficient is a primary early warning when the current safety coefficient is less than or equal to a first early warning value and greater than a second early warning value; at the same time, the early warning result is displayed on the display, and the data analysis terminal sends the early warning result to the management mobile terminal of the relevant personnel.

[0055] The data analysis terminal determines that the early warning result corresponding to the current safety coefficient is an intermediate early warning when the current safety coefficient is less than or equal to the second early warning value and greater than a third early warning value; at the same time, the early warning result is displayed on the display, and the data analysis terminal sends the early warning result to the management mobile terminal of the relevant personnel, and the early warning device 300 flashes at a low frequency and sounds an alarm.

[0056] The data analysis terminal determines that the early warning result corresponding to the current safety coefficient is a high-level early warning when the current safety coefficient is less than or equal to the third early warning value; at the same time, the early warning result is displayed on the display, and the data analysis terminal sends the early warning result to the management mobile terminal of the relevant personnel, and the early warning device 300 flashes at a high frequency and sounds an alarm.

[0057] The embodiment of the present disclosure further provides a safety monitoring method of a coal pillar dam of an underground coal reservoir.

[0058] Figure 3 A flowchart of the safety monitoring method of the coal pillar dam of the underground coal reservoir is shown in the figure. Figure 3 The safety monitoring method of the coal pillar dam of the underground coal reservoir comprises the following steps. S301, the data acquisition device acquires real-time monitoring data of the coal pillar dam in the underground coal reservoir and sends the real-time monitoring data to the data analysis device; wherein the real-time monitoring data comprises deformation monitoring data, stress monitoring data, water body monitoring data and meteorological monitoring data; S302, the data analysis device receives the real-time monitoring data; substitutes the real-time monitoring data into a pre-constructed safety coefficient calculation model to obtain a current safety coefficient of the coal pillar dam; if the current safety coefficient meets a preset warning condition, the warning device is started and a warning result corresponding to the current safety coefficient is sent to the warning device; S303, the warning device receives the warning result and performs warning based on the warning result.

[0059] Specifically, refer to the related content of the safety monitoring system of the coal pillar dam of the underground coal reservoir in the foregoing, which will not be repeated here.

[0060] In some embodiments, the data acquisition device comprises a data acquisition device, and a deformation monitoring mechanism, a stress monitoring mechanism, a water body monitoring mechanism and a meteorological monitoring mechanism connected with the data acquisition device; The data acquisition device acquires deformation monitoring data of the coal pillar dam through the deformation monitoring mechanism, acquires deformation monitoring data of the coal pillar dam through the stress monitoring mechanism, acquires water body monitoring data of the coal pillar dam through the water body monitoring mechanism, and acquires meteorological monitoring data of the coal pillar dam through the meteorological monitoring mechanism.

[0061] Specifically, refer to the related content of the safety monitoring system of the coal pillar dam of the underground coal reservoir in the foregoing, which will not be repeated here.

[0062] In some embodiments, the deformation monitoring data comprises a transformation amount of settlement and a development amount of cracks, the stress monitoring data comprises stress, strain and temperature, the water body monitoring data comprises water level, water pressure, seepage pressure and water quality, and the meteorological monitoring data comprises real-time rainfall in the area where the coal pillar dam is located; The deformation monitoring mechanism comprises a level gauge for monitoring the transformation amount of settlement and a crack meter for monitoring the development amount of cracks; The stress monitoring mechanism comprises an optical fiber sensor for monitoring stress, strain and temperature; The water body monitoring mechanism comprises a water level sensor for monitoring the water level, a water pressure sensor for monitoring the water pressure, a seepage pressure gauge for monitoring the seepage pressure, and a water quality sensor for monitoring the water quality; The weather monitoring mechanism comprises a weather data acquisition unit for monitoring the real-time rainfall.

[0063] Specifically, refer to the related content of the safety monitoring system of the coal pillar dam body of the underground reservoir of the coal mine in the foregoing, which will not be repeated here.

[0064] In some embodiments, the data acquisition device further comprises an image acquisition mechanism connected with the data collector; The data collector collects image data and internal state data of the coal pillar dam body through the image acquisition mechanism; The data analysis device constructs a coal pillar dam body model of the coal pillar dam body based on the image data and the internal state data, and adjusts the arrangement position of the data acquisition device on the coal pillar dam body according to the coal pillar dam body model.

[0065] Specifically, refer to the related content of the safety monitoring system of the coal pillar dam body of the underground reservoir of the coal mine in the foregoing, which will not be repeated here.

[0066] In some embodiments, the safety factor calculation model is:

[0067] Y represents the current safety factor of the coal pillar dam body, represents a deformation weight coefficient, represents a stress weight coefficient, represents a water body weight coefficient, represents a weather weight coefficient, f 1 represents a correlation function between the deformation monitoring data and the safety performance of the coal pillar dam body, f 2 represents a correlation function between the stress monitoring data and the safety performance of the coal pillar dam body, f 3 represents a correlation function between the water body monitoring data and the safety performance of the coal pillar dam body, f 4 represents a correlation function between the weather monitoring data and the safety performance of the coal pillar dam body.

[0068] Specifically, refer to the related content of the safety monitoring system of the coal pillar dam body of the underground reservoir of the coal mine in the foregoing, which will not be repeated here.

[0069] The above description is merely exemplary of some embodiments of the present disclosure and of the principles thereof. It is to be understood that the disclosure is not limited in scope to the particular embodiments described herein, which are intended as examples only, and that the scope of the disclosure is, instead, defined by the appended claims, along with the full range of equivalents to which such claims are entitled. For example, the features of the various embodiments described above can be combined with each other, unless expressly prohibited by the above description.

[0070] While some specific embodiments of the present disclosure have been described in detail, those skilled in the art should understand that the above examples are merely exemplary and are not intended to limit the scope of the present disclosure. Those skilled in the art should understand that the above embodiments can be modified without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A safety monitoring system for coal pillar dams in underground coal mine reservoirs, characterized in that, It includes a data acquisition device, a data analysis device, and an early warning device connected in sequence; The data acquisition device is configured to collect real-time monitoring data of the coal pillar dam in the underground water reservoir of a coal mine, and send the real-time monitoring data to the data analysis device; wherein, the real-time monitoring data includes deformation monitoring data, stress monitoring data, water body monitoring data and meteorological monitoring data; The data analysis device is configured to receive the real-time monitoring data; substitute the real-time monitoring data into a pre-built safety factor calculation model to obtain the current safety factor of the coal pillar dam; if the current safety factor meets the preset early warning conditions, then the early warning device is activated and the early warning result corresponding to the current safety factor is sent to the early warning device. The warning device is configured to receive the warning result and issue a warning based on the warning result.

2. The system as described in claim 1, characterized in that, The data acquisition device includes a data acquisition unit, and a deformation monitoring mechanism, a stress monitoring mechanism, a water monitoring mechanism, and a meteorological monitoring mechanism connected to the data acquisition unit; The data acquisition device is configured to collect deformation monitoring data of the coal pillar dam body through the deformation monitoring mechanism, collect deformation monitoring data of the coal pillar dam body through the stress monitoring mechanism, collect water monitoring data of the coal pillar dam body through the water monitoring mechanism, and collect meteorological monitoring data of the coal pillar dam body through the meteorological monitoring mechanism.

3. The system as described in claim 2, characterized in that, The deformation monitoring data includes the amount of settlement change and the amount of crack development; the stress monitoring data includes stress, strain and temperature; the water body monitoring data includes water level, water pressure, seepage pressure and water quality; and the meteorological monitoring data includes real-time rainfall in the area where the coal pillar dam is located. The deformation monitoring mechanism includes a level for monitoring settlement changes and a crack gauge for monitoring crack development. The stress monitoring mechanism includes fiber optic sensors for monitoring stress, strain, and temperature; The water monitoring mechanism includes a water level sensor for monitoring water level, a water pressure sensor for monitoring water pressure, a piezometer for monitoring seepage pressure, and a water quality sensor for monitoring water quality. The meteorological monitoring agency includes a meteorological data acquisition unit for monitoring real-time rainfall.

4. The system as described in claim 2, characterized in that, The data acquisition device also includes an image acquisition mechanism connected to the data acquisition unit; The data acquisition device is also configured to acquire image data and internal status data of the coal pillar dam body through the image acquisition mechanism; The data analysis device is also configured to construct a coal pillar dam model based on the image data and the internal state data; and to adjust the arrangement position of the data acquisition device on the coal pillar dam according to the coal pillar dam model.

5. The system as described in any one of claims 1 to 4, characterized in that, The safety factor calculation model is as follows: Where Y represents the current safety factor of the coal pillar dam. Indicates the deformation weighting coefficient. This represents the stress weighting coefficient. This represents the water body weighting coefficient. Represents the meteorological weighting coefficient. f 1 represents the correlation function between deformation monitoring data and the safety performance of the coal pillar dam. f 2 represents the correlation function between stress monitoring data and the safety performance of the coal pillar dam. f 3 represents the correlation function between water monitoring data and the safety performance of coal pillar dams. f 4 represents the correlation function between meteorological monitoring data and the safety performance of the coal pillar dam.

6. A method for safety monitoring of coal pillar dams in underground coal mine reservoirs, applied to a safety monitoring system for coal pillar dams in underground coal mine reservoirs as described in any one of claims 1 to 5, wherein the system comprises a data acquisition device, a data analysis device, and an early warning device connected in sequence; characterized in that, The method includes: The data acquisition device collects real-time monitoring data of the coal pillar dam in the underground water reservoir of the coal mine and sends the real-time monitoring data to the data analysis device; wherein, the real-time monitoring data includes deformation monitoring data, stress monitoring data, water body monitoring data and meteorological monitoring data; The data analysis device receives the real-time monitoring data; substitutes the real-time monitoring data into a pre-constructed safety factor calculation model to obtain the current safety factor of the coal pillar dam; if the current safety factor meets the preset early warning conditions, the early warning device is activated, and the early warning result corresponding to the current safety factor is sent to the early warning device. The early warning device receives the early warning result and issues an early warning based on the early warning result.

7. The method as described in claim 6, characterized in that, The data acquisition device includes a data acquisition unit, and a deformation monitoring mechanism, a stress monitoring mechanism, a water monitoring mechanism, and a meteorological monitoring mechanism connected to the data acquisition unit; The data acquisition device collects deformation monitoring data of the coal pillar dam through the deformation monitoring mechanism, deformation monitoring data of the coal pillar dam through the stress monitoring mechanism, water monitoring data of the coal pillar dam through the water monitoring mechanism, and meteorological monitoring data of the coal pillar dam through the meteorological monitoring mechanism.

8. The method as described in claim 7, characterized in that, The deformation monitoring data includes the amount of settlement change and the amount of crack development; the stress monitoring data includes stress, strain and temperature; the water body monitoring data includes water level, water pressure, seepage pressure and water quality; and the meteorological monitoring data includes real-time rainfall in the area where the coal pillar dam is located. The deformation monitoring mechanism includes a level for monitoring settlement changes and a crack gauge for monitoring crack development. The stress monitoring mechanism includes fiber optic sensors for monitoring stress, strain, and temperature; The water monitoring mechanism includes a water level sensor for monitoring water level, a water pressure sensor for monitoring water pressure, a piezometer for monitoring seepage pressure, and a water quality sensor for monitoring water quality. The meteorological monitoring agency includes a meteorological data acquisition unit for monitoring real-time rainfall.

9. The method as described in claim 7, characterized in that, The data acquisition device also includes an image acquisition mechanism connected to the data acquisition unit; The data acquisition device acquires image data and internal status data of the coal pillar dam body through the image acquisition mechanism; The data analysis device constructs a coal pillar dam model based on the image data and the internal state data; and adjusts the arrangement position of the data acquisition device on the coal pillar dam according to the coal pillar dam model.

10. The method according to any one of claims 6 to 9, characterized in that, The safety factor calculation model is as follows: Where Y represents the current safety factor of the coal pillar dam. Indicates the deformation weighting coefficient. This represents the stress weighting coefficient. This represents the water body weighting coefficient. Represents the meteorological weighting coefficient. f 1 represents the correlation function between deformation monitoring data and the safety performance of the coal pillar dam. f 2 represents the correlation function between stress monitoring data and the safety performance of the coal pillar dam. f 3 represents the correlation function between water monitoring data and the safety performance of coal pillar dams. f 4 represents the correlation function between meteorological monitoring data and the safety performance of the coal pillar dam.

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