Tailing pond safety monitoring method, system and equipment and storage medium

Abstract

The invention relates to a tailing pond safety monitoring technology, and discloses a tailing pond safety monitoring method, system and equipment and a storage medium. The method comprises the following steps: acquiring first water level height data in the tailings pond and second water level height data in a dam body of the tailings pond; whether the first water level height data and the second water level height data reach preset water level early warning values or not is judged; if the water level does not reach the preset water level early warning value, calculating a horizontal discrete parameter and a longitudinal deviation parameter of the water level height in the tailing pond dam body; and according to the transverse discrete parameter and the longitudinal deviation parameter, judging whether the second water level height data meets an early warning requirement according to a preset frequency, and if the second water level height data meets the early warning requirement, generating a risk early warning signal. The water flow condition in the tailing pond dam body can be fully analyzed and monitored.

Description

Technical Field

[0001] The present application relates to the technical field of tailings pond safety monitoring, and in particular to a tailings pond safety monitoring method, system, equipment and storage medium. Background Art

[0002] A tailings pond refers to a place built by damming a valley mouth or enclosing land for storing tailings or other industrial waste discharged after mineral processing and screening. A tailings pond is a man-made debris flow hazard source with high potential energy and poses huge safety hazards. Once it becomes unstable, mud carrying a large amount of toxic substances will pour out and submerge houses, farmland, roads and rivers downstream. Safety monitoring is an important means to ensure the safe operation of tailings ponds.

[0003] Safety monitoring of tailings ponds mainly involves displacement monitoring and seepage monitoring of the dam body. Displacement monitoring can directly reflect the stability of the dam body by directly measuring the deformation of the dam body, such as horizontal displacement and vertical displacement. Seepage monitoring measures the water flow inside the tailings pond to assess the leakage risk of the dam body. In the prior art, seepage monitoring is mostly carried out by selecting representative cross sections on the dam body of the tailings pond, burying an appropriate number of water measuring pipes, and measuring the water level in the water measuring pipes to obtain the position of the infiltration line to achieve the purpose of infiltration monitoring. However, due to differences in geological conditions, mining methods and locations, etc., the water level in the tailings pond dam body may differ in the vertical water flow infiltration direction. Therefore, the above-mentioned infiltration monitoring method has certain limitations and cannot fully monitor the water flow in the tailings pond dam body. If the infiltration line on one side is too high, it may cause instability accidents such as pipe bursts and landslides in the dam body, thereby endangering the overall safety of the tailings pond. Summary of the invention

[0004] In order to fully monitor the water flow in the tailings dam, the present application provides a tailings dam safety monitoring method, system, equipment and storage medium.

[0005] In a first aspect, the present invention provides a tailings pond safety monitoring method, comprising: Acquire first water level height data in the tailings pond and second water level height data inside the dam body of the tailings pond; Respectively determine whether the first water level height data and the second water level height data reach a preset water level warning value; If the water level preset warning value is not reached, the lateral discrete parameters and longitudinal deviation parameters of the water level height in the tailings dam body are calculated; According to the lateral discrete parameter and the longitudinal deviation parameter, it is determined whether the second water level height data meets the warning requirement at a preset frequency. If the warning requirement is met, a risk warning signal is generated.

[0006] In an optional implementation manner, the second water level height data includes a plurality of data, and the respectively determining whether the first water level height data and the second water level height data meet the early warning requirement includes: Performing real-time monitoring on the first water level height data to determine whether the first water level height data exceeds a preset warning value of the water level in the tailings pond; If exceeded, the risk warning signal is generated; Performing real-time monitoring on a plurality of the second water level height data, and determining whether each of the second water level height data exceeds a preset warning value of the water level in the corresponding tailings dam body; When any of the second water level height data exceeds the corresponding preset warning value of the water level in the tailings dam body, the risk warning signal is generated.

[0007] In an optional implementation manner, judging whether the second water level height data meets the warning requirement according to the lateral discrete parameter and the longitudinal deviation parameter at a preset frequency includes: Calculate the abnormal water level parameter in the tailings dam body according to the lateral discrete parameter and the longitudinal deviation parameter :

[0008] in, is the lateral discrete parameter of the water level height in the tailings dam, is the longitudinal deviation parameter of the water level in the tailings dam, , is the weight coefficient corresponding to the influencing factors of water level anomaly parameters; According to the preset frequency, the abnormal water level parameters in the tailings dam body are Preset warning parameters for water level in tailings dam Make a comparison; like , then the risk warning signal is generated; like , the risk warning signal is not generated.

[0009] In an optional embodiment, the calculation formula for the lateral discrete parameter of the water level height in the tailings dam body is:

[0010]

[0011] The pressure measuring tubes buried in the tailings dam are arranged in a rectangular shape, with N rows arranged horizontally and M columns arranged vertically at equal intervals. , , is the weight coefficient corresponding to the discrete parameters of the piezometer in the i-th row, is the water level in the pressure measuring tube in the i-th row and j-th column, is the average water level height in all the pressure gauges in the i-th row, is the coefficient of dispersion of the water level in the piezometric tube in the i-th row, is the lateral standard dispersion coefficient of water level height.

[0012] In an optional embodiment, the calculation formula of the longitudinal deviation parameter of the water level height in the tailings dam body is:

[0013]

[0014] in, is the horizontal distance between the first row to the Nth row of piezometers buried in the tailings dam, is the curve of the water level in the jth row of pressure measuring tubes in the tailings dam body changing with distance, A standard curve of water level changing with distance is preset for the tailings dam.

[0015] In an optional embodiment, the method further comprises: The first water level height data is monitored to obtain a monitoring result, and the preset frequency is adjusted according to the monitoring result.

[0016] In an optional implementation manner, the process of adjusting the preset frequency includes:

[0017]

[0018]

[0019]

[0020] in, is the preset frequency, is the water level in the tailings pond, is the critical value of water level in the tailings pond, is the curve of the water level in the tailings pond changing with time. is the critical value of the water level change rate in the tailings pond, It is the preset reference frequency for calculating and analyzing the water level height in the tailings dam. The preset time period.

[0021] In a second aspect, the present invention provides a tailings pond safety monitoring system, comprising: An acquisition module, used to acquire first water level height data in the tailings pond and second water level height data inside the dam body of the tailings pond; A judgment module, used to judge whether the first water level height data and the second water level height data have reached a preset water level warning value; A calculation module, for calculating the lateral discrete parameters and longitudinal deviation parameters of the water level height in the tailings dam body if the water level preset warning value is not reached; The early warning module is used to determine whether the second water level height data meets the early warning requirement according to the lateral discrete parameter and the longitudinal deviation parameter at a preset frequency, and generate a risk early warning signal if the early warning requirement is met.

[0022] In a third aspect, the present invention provides a computer device, comprising a processor and a memory, wherein the memory stores a computer program, and the processor is used to execute the computer program to implement the tailings dam safety monitoring method described in any one of the aforementioned embodiments.

[0023] In a fourth aspect, the present invention provides a computer storage medium storing a computer program, which, when executed on a processor, implements the tailings dam safety monitoring method according to any one of the aforementioned embodiments.

[0024] The embodiments of the present application have the following beneficial effects: The tailings dam safety monitoring method provided in the present application performs a comprehensive calculation and analysis of the lateral discrete parameters and longitudinal deviation parameters of the water level height information in the tailings dam body to determine whether the water level height information in the tailings dam body is abnormal, and judges whether it is necessary to generate a risk warning signal, thereby achieving the purpose of fully analyzing and monitoring the water flow in the tailings dam body. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present application and should not be regarded as limiting the scope of protection of the present application. For ordinary technicians in this field, other related drawings can also be obtained based on these drawings without creative work.

[0026] Figure 1 A schematic diagram of a process for monitoring the safety of a tailings dam provided in an embodiment of the present application is shown; Figure 2 A schematic diagram of a flow chart of a water level height data monitoring method provided in an embodiment of the present application is shown; Figure 3 A schematic diagram of the distribution of pressure measuring tubes buried in a tailings dam provided in an embodiment of the present application is shown; Figure 4 A schematic diagram of the framework structure of a tailings pond safety monitoring system provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0028] The components of the embodiments of the present application generally described and shown in the drawings herein may be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0029] Hereinafter, the terms "including", "having" and their cognates, which may be used in various embodiments of the present application, are intended only to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing items, and should not be understood as first excluding the existence of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing items or adding the possibility of one or more features, numbers, steps, operations, elements, components, or combinations of the foregoing items.

[0030] Furthermore, the terms “first”, “second”, “third”, etc. are merely used for distinguishing descriptions and are not to be understood as indicating or implying relative importance.

[0031] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as those generally understood by those skilled in the art to which the various embodiments of the present application belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meanings as the contextual meanings in the relevant technical field and will not be interpreted as having idealized meanings or overly formal meanings unless clearly defined in the various embodiments of the present application.

[0032] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0033] Reference Figure 1 , Figure 1 A schematic flow chart of a tailings dam safety monitoring method provided in this embodiment, which can be used to fully monitor the water flow in the tailings dam, includes: S101, obtaining first water level height data in the tailings pond and second water level height data inside the dam body of the tailings pond.

[0034] First, a corresponding first water level collection device can be set in the tailings pond to collect first water level height data in the tailings pond, and a corresponding second water level collection device can be set inside the dam body of the tailings pond to collect second water level height data inside the dam body of the tailings pond, and then the collected first water level height data and second water level height data can be sent to the data analysis device.

[0035] S102: Determine whether the first water level data and the second water level data have reached preset water level warning values.

[0036] The first water level height data and the second water level data are continuously monitored by a data analysis device, and when the first water level height or the second water level height exceeds the corresponding water level preset warning value, a risk warning signal is generated in time.

[0037] S103. If the water level preset warning value is not reached, the lateral discrete parameters and longitudinal deviation parameters of the water level height in the tailings dam body are calculated.

[0038] If neither the first water level nor the second water level exceeds the corresponding preset warning value of the water level, the lateral discrete parameters and the longitudinal deviation parameters of the water level height in the tailings dam body are calculated.

[0039] S104. Determine whether the second water level height data meets the warning requirement according to the lateral discrete parameter and the longitudinal deviation parameter at a preset frequency. If the warning requirement is met, generate a risk warning signal.

[0040] The water level height data inside the tailings dam is further calculated and analyzed at a preset frequency to more closely monitor the flow of water levels inside the dam, and to promptly detect and generate early warning signals. Through continuous calculation and analysis, the purpose of fully monitoring the flow of water levels inside the tailings dam can be achieved, thereby avoiding the occurrence of safety accidents such as pipe bursts and landslides in the dam due to large differences in water level heights inside the tailings dam.

[0041] This embodiment performs a comprehensive calculation and analysis of the lateral discrete parameters and longitudinal deviation parameters of the water level height information in the tailings dam to determine whether the water level height information in the tailings dam is abnormal and whether it is necessary to generate a risk warning signal, thereby achieving the purpose of fully analyzing and monitoring the water flow in the tailings dam.

[0042] In one embodiment, the second water level height data includes a plurality of data.

[0043] Reference Figure 2, step S102 includes: steps S1021-S1024.

[0044] S1021. Monitor the first water level height data in real time to determine whether the first water level height data exceeds a preset warning value of the water level in the tailings pond.

[0045] S1022: If exceeded, generate the risk warning signal.

[0046] When the water level height in the tailings pond exceeds the preset warning value of the water level in the tailings pond, it means that the water level in the tailings pond is too high, and there are safety hazards such as dam breach, landslide, and overtopping, and a risk warning signal is generated. The preset warning value of the water level in the tailings pond can be obtained based on experience, which is mainly related to the design specifications and geological conditions of the tailings pond.

[0047] S1023: Monitor the plurality of second water level height data in real time, and determine whether each of the second water level height data exceeds a preset warning value of the water level in the corresponding tailings dam body.

[0048] S1024. When any of the second water level height data exceeds the corresponding preset warning value of the water level in the tailings dam body, the risk warning signal is generated.

[0049] When any water level height value in the tailings dam body exceeds its corresponding preset warning value of the water level in the tailings dam body, it means that the water level in the tailings dam body is too high, affecting the stability of the dam body, and there are safety hazards such as dam breach, landslide, and seepage damage, and a risk warning signal is generated. The corresponding preset warning value of the water level in the tailings dam body can be obtained based on experience, which is mainly related to the design specifications of the tailings dam, geological conditions and the position of the monitoring point inside the dam body.

[0050] This embodiment detects the water level height data inside the tailings pond and inside the dam of the tailings pond respectively. When the water level exceeds a preset warning value, a corresponding risk warning signal is generated to improve the safety of the tailings pond.

[0051] In one embodiment, judging whether the second water level height data meets the warning requirement according to the lateral discrete parameter and the longitudinal deviation parameter at a preset frequency includes: Calculate the abnormal water level parameter in the tailings dam body according to the lateral discrete parameter and the longitudinal deviation parameter :

[0052] in, is the lateral discrete parameter of the water level height in the tailings dam, is the longitudinal deviation parameter of the water level height in the tailings dam, , is the weight coefficient corresponding to the influencing factors of water level anomaly parameters; According to the preset frequency, the abnormal water level parameters in the tailings dam body are Preset warning parameters for water level in tailings dam Make a comparison; like , then the risk warning signal is generated; like , the risk warning signal is not generated.

[0053] Preset warning parameters for water level in tailings dam It can be obtained through early warning experimental analysis of the water level in the tailings dam.

[0054] This embodiment calculates the abnormal water level parameters in the tailings dam body through the lateral discrete parameters and longitudinal deviation parameters of the water level height in the tailings dam body, and then compares the abnormal water level parameters in the tailings dam body with the preset warning parameters of the water level in the tailings dam body to determine whether to generate a risk warning signal, thereby achieving the purpose of fully analyzing and monitoring the water flow in the tailings dam body, and reducing the risk of safety accidents such as pipe bursts and landslides in the tailings dam body.

[0055] Reference Figure 3 , Figure 3 A schematic diagram of the distribution of pressure measuring tubes buried in a tailings dam provided in this embodiment.

[0056] The calculation formula for the lateral discrete parameters of the water level height in the tailings dam is:

[0057]

[0058] The pressure measuring tubes buried in the tailings dam are arranged in a rectangular shape, with N rows arranged horizontally and M columns arranged vertically at equal intervals. , , is the weight coefficient corresponding to the discrete parameters of the piezometer in the i-th row, is the water level in the pressure measuring tube in the i-th row and j-th column, is the average water level height in all the pressure gauges in the i-th row, is the coefficient of dispersion of the water level in the piezometric tube in the i-th row, is the lateral standard dispersion coefficient of water level height.

[0059] in, It can be obtained from the water level sensor installed in the pressure measuring tube in the i-th row and j-th column. It can be obtained by averaging the water level height values ​​in all pressure measuring tubes in the i-th row.

[0060] The calculation formula for the longitudinal deviation parameter of the water level height in the tailings dam is:

[0061]

[0062] in, is the horizontal distance between the first row and the Nth row of piezometers buried in the tailings dam, which can be obtained based on the design specification parameters of the piezometers. is the curve of the water level in the jth row of pressure measuring tubes in the tailings dam body changing with distance, A standard curve of water level changing with distance is preset for the tailings dam.

[0063] in, We can first establish a rectangular coordinate system, with the distance between each row of pressure gauge tubes as the X-axis data, and the corresponding water level height in each pressure gauge tube as the Y-axis data, to form multiple coordinate points. By connecting each adjacent X-axis coordinate point in sequence through a smooth curve, we can generate a curve corresponding to the change of water level height in each column of pressure gauge tubes with distance.

[0064] This embodiment obtains abnormal water level parameters in the tailings dam body by comprehensive calculation and analysis of the lateral discrete parameters and longitudinal deviation parameters of the water level height values ​​in each pressure measuring tube in the tailings dam body, thereby achieving the purpose of fully analyzing and monitoring the water flow situation in the tailings dam body.

[0065] In one embodiment, the method further comprises: The first water level height data is monitored to obtain a monitoring result, and the preset frequency is adjusted according to the monitoring result.

[0066] The process of adjusting the preset frequency includes:

[0067]

[0068]

[0069]

[0070] in, is the preset frequency, is the water level in the tailings pond, is the critical value of water level in the tailings pond, is the curve of the water level in the tailings pond changing with time. is the critical value of the water level change rate in the tailings pond, It is the preset reference frequency for calculating and analyzing the water level height in the tailings dam. The preset time period.

[0071] When the speed of change of the water level in the tailings pond exceeds the critical value of the water level change speed, the frequency of calculation, analysis and monitoring of the water level in the tailings pond dam body shall be increased.

[0072] This embodiment performs a comprehensive analysis of the water level in the tailings pond and the speed of change of the water level, and then intelligently adjusts the preset frequency. When the water level in the tailings pond is low or the speed of change of the water level is low, the frequency of analysis and calculation of the water level in the dam of the tailings pond can be reduced, thereby saving computing power demand during the safety monitoring of the tailings pond. When the water level in the tailings pond is high or the speed of change of the water level is high, the frequency of analysis and calculation of the water level in the dam of the tailings pond can be increased, thereby achieving the purpose of fully monitoring the safety of the tailings pond, and more timely monitoring of potential safety hazards that may arise during the operation of the tailings pond.

[0073] See also Figure 4 This embodiment also provides a tailings pond safety monitoring system 400, including: The acquisition module 401 is used to acquire the first water level height data in the tailings pond and the second water level height data inside the dam body of the tailings pond.

[0074] The judgment module 402 is used to judge whether the first water level height data and the second water level height data have reached a preset water level warning value.

[0075] The calculation module 403 is used to calculate the lateral discrete parameters and longitudinal deviation parameters of the water level height in the tailings dam body if the water level preset warning value is not reached.

[0076] The early warning module 404 is used to determine whether the second water level height data meets the early warning requirement according to the lateral discrete parameter and the longitudinal deviation parameter at a preset frequency, and generate a risk early warning signal if the early warning requirement is met.

[0077] It can be understood that the tailings dam safety monitoring system of this embodiment corresponds to the tailings dam safety monitoring method of the above embodiment, and the optional items in the above embodiment are also applicable to this embodiment, so they will not be repeated here.

[0078] The present application also provides a computer device. Exemplarily, the computer device includes a processor and a memory, wherein the memory stores a computer program, and the processor runs the computer program to enable the computer device to execute the functions of each module in the above-mentioned tailings pond safety monitoring method or the above-mentioned tailings pond safety monitoring system.

[0079] Among them, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including a central processing unit (CPU), a graphics processing unit (GPU), a network processor (NP), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or at least one of other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc., which can implement or execute the methods, steps and logic block diagrams disclosed in the embodiments of the present application.

[0080] The memory may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electric erasable programmable read-only memory (EEPROM), etc. The memory is used to store a computer program, and the processor may execute the computer program accordingly after receiving an execution instruction.

[0081] The present application also provides a computer storage medium for storing the computer program used in the above-mentioned computer device. The computer storage medium may be a readable storage medium, or a non-volatile storage medium or a volatile storage medium. For example, the computer storage medium may include but is not limited to: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0082] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in an alternative implementation, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the structure diagram and / or the flow diagram, and the combination of boxes in the structure diagram and / or the flow diagram, can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0083] In addition, the functional modules or units in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0084] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application.

[0085] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A tailings pond safety monitoring method, characterized in that: include: Acquire first water level height data in the tailings pond and second water level height data inside the dam body of the tailings pond; Respectively determine whether the first water level height data and the second water level height data reach a preset water level warning value; If the water level preset warning value is not reached, the lateral discrete parameters and longitudinal deviation parameters of the water level height in the tailings dam body are calculated; According to the lateral discrete parameter and the longitudinal deviation parameter, judging whether the second water level height data meets the warning requirement at a preset frequency, and generating a risk warning signal if the warning requirement is met; The method further comprises: Monitoring the first water level height data to obtain a monitoring result, and adjusting the preset frequency according to the monitoring result; The process of adjusting the preset frequency includes: in, is the preset frequency, is the water level in the tailings pond, is the critical value of water level in the tailings pond, is the curve of the water level in the tailings pond changing with time. is the critical value of the water level change rate in the tailings pond, It is the preset reference frequency for calculating and analyzing the water level height in the tailings dam. The preset time period.

2. The tailings pond safety monitoring method according to claim 1, characterized in that: The second water level height data includes a plurality of data, and the respectively judging whether the first water level height data and the second water level height data meet the early warning requirement includes: Performing real-time monitoring on the first water level height data to determine whether the first water level height data exceeds a preset warning value of the water level in the tailings pond; If exceeded, the risk warning signal is generated; Performing real-time monitoring on a plurality of the second water level height data, and determining whether each of the second water level height data exceeds a preset warning value of the water level in the corresponding tailings dam body; When any of the second water level height data exceeds the corresponding preset warning value of the water level in the tailings dam body, the risk warning signal is generated.

3. The tailings pond safety monitoring method according to claim 2, characterized in that: The step of judging whether the second water level height data meets the early warning requirement according to the lateral discrete parameter and the longitudinal deviation parameter at a preset frequency includes: Calculate the abnormal water level parameter in the tailings dam body according to the lateral discrete parameter and the longitudinal deviation parameter : in, is the lateral discrete parameter of the water level height in the tailings dam, is the longitudinal deviation parameter of the water level in the tailings dam, , is the weight coefficient corresponding to the influencing factors of water level anomaly parameters; According to the preset frequency, the abnormal water level parameters in the tailings dam body are Preset warning parameters for water level in tailings dam Make a comparison; like , then the risk warning signal is generated; like , the risk warning signal is not generated.

4. The tailings pond safety monitoring method according to claim 3, characterized in that: The calculation formula for the lateral discrete parameters of the water level height in the tailings dam is: The pressure measuring tubes buried in the tailings dam are arranged in a rectangular shape, with N rows arranged horizontally and M columns arranged vertically at equal intervals. , , is the weight coefficient corresponding to the discrete parameters of the piezometer in the i-th row, is the water level in the pressure measuring tube in the i-th row and j-th column, is the average water level height in all the pressure gauges in the i-th row, is the coefficient of dispersion of the water level in the piezometric tube in the i-th row, is the lateral standard dispersion coefficient of water level height.

5. The tailings pond safety monitoring method according to claim 3, characterized in that: The calculation formula for the longitudinal deviation parameter of the water level height in the tailings dam is: in, is the horizontal distance between the first row to the Nth row of piezometers buried in the tailings dam, is the curve of the water level in the jth row of pressure measuring tubes in the tailings dam body changing with distance, A standard curve of water level changing with distance is preset for the tailings dam.

6. A tailings pond safety monitoring system, characterized in that: include: An acquisition module, used to acquire first water level height data in the tailings pond and second water level height data inside the dam body of the tailings pond; A judgment module, used to judge whether the first water level height data and the second water level height data have reached a preset water level warning value; A calculation module, for calculating the lateral discrete parameters and longitudinal deviation parameters of the water level height in the tailings dam body if the water level preset warning value is not reached; an early warning module, configured to determine whether the second water level height data meets the early warning requirement according to the lateral discrete parameter and the longitudinal deviation parameter at a preset frequency, and to generate a risk early warning signal if the early warning requirement is met; The early warning module is further used to monitor the first water level height data to obtain a monitoring result, and adjust the preset frequency according to the monitoring result; The process of adjusting the preset frequency includes: in, is the preset frequency, is the water level in the tailings pond, is the critical value of water level in the tailings pond, is the curve of the water level in the tailings pond changing with time. is the critical value of the water level change rate in the tailings pond, It is the preset reference frequency for calculating and analyzing the water level height in the tailings dam. The preset time period.

7. A computer device, characterized in that: The computer device includes a processor and a memory, the memory stores a computer program, and the processor is used to execute the computer program to implement the tailings dam safety monitoring method according to any one of claims 1-5.

8. A computer storage medium, characterized in that: It stores a computer program, which, when executed on a processor, implements the tailings dam safety monitoring method according to any one of claims 1-5.

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