A method, system, device and storage medium for safety monitoring of a tailings pond

Abstract

This application relates to the safety monitoring technology of tailings ponds, and discloses a safety monitoring method, system, device and storage medium for tailings ponds. The method includes: obtaining the first water level height data in the tailings pond and the second water level height data inside the tailings pond dam; respectively judging whether the first water level height data and the second water level height data reach the preset water level warning value; if they do not reach the preset water level warning value, calculating the horizontal dispersion parameter and the vertical deviation parameter of the water level height in the tailings pond dam; according to the horizontal dispersion parameter and the vertical deviation parameter, judging whether the second water level height data reaches the warning requirement at a preset frequency, and if it reaches the warning requirement, generating a risk warning signal. This application can fully analyze and monitor the water flow situation inside the tailings pond dam.

Description

Technical Field

[0001] This application relates to the technical field of tailings pond safety monitoring, and particularly to a tailings pond safety monitoring method, system, device and storage medium. Background Art

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

[0003] For the safety monitoring of tailings ponds, it mainly focuses on displacement monitoring and seepage monitoring of the dam body. Displacement monitoring directly measures the deformation of the dam body, such as horizontal displacement and vertical displacement, which can intuitively reflect the stability of the dam body. Seepage monitoring measures the water flow inside the tailings pond to evaluate the leakage risk of the dam body. In the prior art, seepage monitoring is mostly carried out by selecting representative cross-sections on the tailings pond dam body, burying an appropriate number of water measuring pipes, and obtaining the position of the phreatic line by measuring the water level in the water measuring pipes to achieve the purpose of seepage monitoring. However, due to factors such as geological condition differences, ore discharge methods and positions, there may be differences in the water level in the vertical water flow penetration direction in the tailings pond dam body. Therefore, the above seepage monitoring method has certain limitations and cannot fully monitor the water flow situation in the tailings pond dam body. If the phreatic line on one side is too high, it may lead to instability accidents such as piping and landslides of the dam body, thus endangering the overall safety of the tailings pond. Summary of the Invention

[0004] In order to fully monitor the water flow situation in the tailings pond dam body, this application provides a tailings pond safety monitoring method, system, device and storage medium.

[0005] In a first aspect, the present invention provides a tailings pond safety monitoring method, including:

[0006] Obtaining the first water level height data inside the tailings pond and the second water level height data inside the tailings pond dam body;

[0007] Respectively determining whether the first water level height data and the second water level height data reach the water level preset warning value;

[0008] If the water level preset warning value is not reached, calculating the horizontal dispersion parameter and the longitudinal deviation parameter of the water level height in the tailings pond dam body;

[0009] According to the horizontal dispersion parameter and the longitudinal deviation parameter, judge whether the second water level height data meets the warning requirements at a preset frequency. If the warning requirements are met, generate a risk warning signal.

[0010] In an alternative embodiment, there are multiple pieces of the second water level height data. The steps of separately judging whether the first water level height data and the second water level height data meet the warning requirements include:

[0011] Monitor the first water level height data in real time, and judge whether the first water level height data exceeds the preset warning value of the water level in the tailings pond;

[0012] If it exceeds, generate the risk warning signal;

[0013] Monitor the multiple pieces of the second water level height data in real time, and judge whether each piece of the second water level height data exceeds the preset warning value of the water level in the corresponding dam body of the tailings pond;

[0014] When any piece of the second water level height data exceeds the preset warning value of the water level in the corresponding dam body of the tailings pond, generate the risk warning signal.

[0015] In an alternative embodiment, the step of judging whether the second water level height data meets the warning requirements according to the horizontal dispersion parameter and the longitudinal deviation parameter at a preset frequency includes:

[0016] Calculate the abnormal parameter of the water level in the dam body of the tailings pond according to the horizontal dispersion parameter and the longitudinal deviation parameter :

[0017]

[0018] Wherein, is the horizontal dispersion parameter of the water level height in the dam body of the tailings pond, is the longitudinal deviation parameter of the water level height in the dam body of the tailings pond, , are the corresponding weight coefficients of the influencing factors of the abnormal water level parameter;

[0019] Compare the abnormal parameter of the water level in the dam body of the tailings pond with the preset warning parameter of the water level in the dam body of the tailings pond at the preset frequency;

[0020] If , generate the risk warning signal;

[0021] If , do not generate the risk warning signal.

[0022] In an alternative embodiment, the calculation formula for the lateral dispersion parameter of the water level height in the tailings pond dam is as follows:

[0023]

[0024]

[0025] Among them, the piezometers buried in the tailings pond dam are distributed in a rectangular shape, with N rows horizontally and M columns vertically at equal intervals. , , is the weight coefficient corresponding to the dispersion parameter of the i-th piezometer. is the water level height value in the piezometer at the i-th row and j-th column. is the average value of the water level heights in all piezometers in the i-th row. is the dispersion coefficient of the water level height in the i-th piezometer. is the standard lateral dispersion coefficient of the water level height.

[0026] In an alternative embodiment, the calculation formula for the longitudinal deviation parameter of the water level height in the tailings pond dam is as follows:

[0027]

[0028]

[0029] Among them, is the horizontal distance between the first row and the N-th row of the piezometers buried in the tailings pond dam. is the curve of the water level height change with distance in the j-th column of piezometers in the tailings pond dam. is the standard curve of the preset water level height change with distance in the tailings pond dam.

[0030] In an alternative embodiment, the method further includes:

[0031] Monitoring the first water level height data to obtain a monitoring result, and adjusting the preset frequency according to the monitoring result.

[0032] In an alternative embodiment, the process of adjusting the preset frequency includes:

[0033]

[0034]

[0035]

[0036]

[0037] Among them, is the preset frequency, is the water level height value in the tailings pond, is the critical value of the water level height in the tailings pond, is the curve of the change of the water level height value in the tailings pond over time, is the critical value of the water level change speed in the tailings pond, is the preset reference frequency for calculating and analyzing the water level height in the dam body of the tailings pond, is the preset time period.

[0038] In a second aspect, the present invention provides a tailings pond safety monitoring system, including:

[0039] An acquisition module, configured 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;

[0040] A judgment module, configured to respectively judge whether the first water level height data and the second water level height data reach the preset water level warning value;

[0041] A calculation module, configured to calculate the lateral dispersion parameter and the longitudinal deviation parameter of the water level height in the dam body of the tailings pond if the preset water level warning value is not reached;

[0042] An early warning module, configured to judge whether the second water level height data reaches the early warning requirement according to the lateral dispersion parameter and the longitudinal deviation parameter at a preset frequency, and if the early warning requirement is reached, generate a risk early warning signal.

[0043] In a third aspect, the present invention provides a computer device, which includes a processor and a memory, the memory stores a computer program, and the processor is configured to execute the computer program to implement the tailings pond safety monitoring method according to any one of the foregoing embodiments.

[0044] In a fourth aspect, the present invention provides a computer storage medium, which stores a computer program, and when the computer program is executed on a processor, the tailings pond safety monitoring method according to any one of the foregoing embodiments is implemented.

[0045] The embodiments of the present application have the following beneficial effects:

[0046] The tailings pond safety monitoring method provided by the present application comprehensively calculates and analyzes the lateral dispersion parameter and the longitudinal deviation parameter of the water level height information in the dam body of the tailings pond to determine whether the water level height information in the dam body of the tailings pond is abnormal, and judges whether a risk early warning signal needs to be generated, so as to achieve the purpose of fully analyzing and monitoring the water flow situation in the dam body of the tailings pond. Description of the Drawings

[0047] To more clearly illustrate the technical solutions of the present application, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and should not be regarded as limiting the protection scope of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0048] Figure 1 It shows a schematic flow chart of a tailings pond safety monitoring method provided by an embodiment of the present application;

[0049] Figure 2 It shows a schematic flow chart of a water level height data monitoring method provided by an embodiment of the present application;

[0050] Figure 3 It shows a schematic distribution diagram of piezometers buried in the body of a tailings pond dam provided by an embodiment of the present application;

[0051] Figure 4 It shows a schematic framework structure diagram of a tailings pond safety monitoring system provided by an embodiment of the present application. Detailed implementation manners

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0053] Generally, the components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different 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 present application to be protected, but only represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0054] In the following text, the terms "including", "having" and their cognates that can be used in various embodiments of the present application are only intended to represent 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 increasing the possibility of one or more features, numbers, steps, operations, elements, components or combinations of the foregoing items.

[0055] In addition, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0056] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present application pertain. The terms (such as those defined in a commonly used dictionary) will be interpreted as having the same meaning as their contextual meaning in the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning, unless clearly defined in various embodiments of the present application.

[0057] The following will, with reference to the accompanying drawings, elaborate on some embodiments of the present application in detail. Without conflict, the following embodiments and the features in the embodiments may be combined with each other.

[0058] Refer to Figure 1 , Figure 1 which is a schematic flowchart of a tailings pond safety monitoring method provided for this embodiment. This method can be used to fully monitor the water flow situation inside the tailings pond dam. The method includes:

[0059] S101. Obtain the first water level height data inside the tailings pond and the second water level height data inside the tailings pond dam.

[0060] First, corresponding first water level acquisition devices can be set inside the tailings pond to collect the first water level height data inside the tailings pond, and corresponding second water level acquisition devices can be set inside the tailings pond dam to collect the second water level height data inside the tailings pond dam. Then, the collected first water level height data and second water level height data are sent to the data analysis device.

[0061] S102. Respectively determine whether the first water level height data and the second water level height data reach the preset water level warning value.

[0062] The data analysis device continuously monitors the first water level height data and the second water level data. When the first water level height or the second water level height exceeds the corresponding preset water level warning value, a risk warning signal is generated in a timely manner.

[0063] S103. If the preset water level warning value is not reached, calculate the lateral dispersion parameter and the longitudinal deviation parameter of the water level height inside the tailings pond dam.

[0064] If neither the first water level height nor the second water level height exceeds the corresponding preset water level warning value, calculate the lateral dispersion parameter and the longitudinal deviation parameter of the water level height inside the tailings pond dam.

[0065] S104. According to the lateral dispersion parameter and the longitudinal deviation parameter, determine whether the second water level height data reaches the warning requirement at a preset frequency. If the warning requirement is reached, generate a risk warning signal.

[0066] Perform further calculation and analysis on the internal water level height data of the tailings pond dam at a preset frequency to more finely monitor the flow of the internal water level of the dam, timely detect and generate warning signals. Through continuous calculation and analysis, it is possible to fully monitor the flow of the internal water level of the tailings pond dam, thereby avoiding safety accidents such as piping and landslides that may occur due to excessive differences in water level height within the tailings pond dam.

[0067] In this embodiment, through comprehensive calculation and analysis of the horizontal discrete parameters and vertical deviation parameters of the water level height information within the tailings pond dam, it is determined whether the water level height information within the tailings pond dam is abnormal and whether a risk warning signal needs to be generated, so as to achieve the purpose of fully analyzing and monitoring the water flow situation within the tailings pond dam.

[0068] In one implementation manner, the second water level height data includes multiple.

[0069] Refer to Figure 2 , step S102 includes: steps S1021 - S1024.

[0070] S1021. Real - time monitor the first water level height data and judge whether the first water level height data exceeds the preset warning value of the water level in the tailings pond.

[0071] S1022. If it exceeds, generate the risk warning signal.

[0072] When the water level height value in the tailings pond exceeds the preset warning value of the water level in the tailings pond, it indicates that the water level in the tailings pond is too high, with potential safety hazards such as dam break, landslide, and overtopping. Generate a risk warning signal. The preset warning value of the water level in the tailings pond can be obtained by presetting according to experience and is mainly related to the design specifications and geological conditions of the tailings pond.

[0073] S1023. Real - time monitor multiple pieces of the second water level height data and judge whether each piece of the second water level height data exceeds the corresponding preset warning value of the water level in the tailings pond dam.

[0074] S1024. When any piece of the second water level height data exceeds the corresponding preset warning value of the water level in the tailings pond dam, generate the risk warning signal.

[0075] When any water level height value in the tailings pond dam exceeds its corresponding preset warning value of the water level in the tailings pond dam, it indicates that the water level in the tailings pond dam is too high, affecting the stability of the dam, with potential safety hazards such as dam break, landslide, and seepage failure. Generate a risk warning signal. The corresponding preset warning value of the water level in the tailings pond dam can be obtained by presetting according to experience and is mainly related to the design specifications and geological conditions of the tailings pond and the position of the monitoring point inside the dam.

[0076] In this embodiment, by separately detecting the water level height data inside the tailings pond and inside the dam of the tailings pond, when the water level exceeds the preset warning value, a corresponding risk warning signal is generated, thereby improving the safety of the tailings pond.

[0077] In one implementation manner, the judging whether the second water level height data meets the warning requirement according to the transverse dispersion parameter and the longitudinal deviation parameter at a preset frequency includes:

[0078] Calculating the water level anomaly parameter inside the dam of the tailings pond according to the transverse dispersion parameter and the longitudinal deviation parameter :

[0079]

[0080] Wherein, is the transverse dispersion parameter of the water level height inside the dam of the tailings pond, is the longitudinal deviation parameter of the water level height inside the dam of the tailings pond, , are the corresponding weight coefficients of the influencing factors of the water level anomaly parameter;

[0081] Comparing the water level anomaly parameter inside the dam of the tailings pond with the preset warning parameter of the water level inside the dam of the tailings pond at the preset frequency;

[0082] If , then generate the risk warning signal;

[0083] If , then do not generate the risk warning signal.

[0084] The preset warning parameter of the water level inside the dam of the tailings pond can be obtained through experimental analysis of the water level warning inside the dam of the tailings pond.

[0085] In this embodiment, the water level anomaly parameter inside the dam of the tailings pond is calculated through the transverse dispersion parameter and the longitudinal deviation parameter of the water level height inside the dam of the tailings pond, and then the water level anomaly parameter inside the dam of the tailings pond is compared with the preset warning parameter of the water level inside the dam of the tailings pond, so as to determine whether to generate a risk warning signal, thereby achieving the purpose of fully analyzing and monitoring the water flow situation inside the dam of the tailings pond, and reducing the risk of safety accidents such as piping and landslides occurring in the dam of the tailings pond.

[0086] Refer to Figure 3 , Figure 3 which is a schematic diagram of the distribution of piezometers buried inside the dam of the tailings pond provided by this embodiment.

[0087] The calculation formula of the transverse dispersion parameter of the water level height inside the dam of the tailings pond is:

[0088]

[0089]

[0090] Among them, the piezometers buried in the tailings pond dam are distributed in a rectangular shape, with N rows horizontally and M columns vertically at equal intervals. , , is the weight coefficient corresponding to the discrete parameter of the i-th piezometer. is the water level height value in the piezometer at the i-th row and j-th column. is the average value of the water level heights in all piezometers of the i-th row. is the discrete coefficient of the water level height in the i-th piezometer. is the standard discrete coefficient of the water level height horizontally.

[0091] Among them, can be obtained by collecting through the water level sensor installed in the piezometer at the i-th row and j-th column. can be obtained by calculating the average value of the water level height values in all piezometers of the i-th row.

[0092] The calculation formula for the longitudinal deviation parameter of the water level height in the tailings pond dam is:

[0093]

[0094]

[0095] Among them, is the horizontal distance between the 1st row and the Nth row of the piezometers buried in the tailings pond dam, which can be obtained according to the design specification parameters of the piezometers. is the curve of the water level height in the j-th column of piezometers in the tailings pond dam changing with the distance. is the standard curve of the preset water level height in the tailings pond dam changing with the distance.

[0096] Among them, First, a rectangular coordinate system can be established. The distance between each row of piezometers is used as the X-axis data, and the corresponding water level heights in each piezometer collected are used as the Y-axis data to form multiple coordinate points. By connecting the adjacent coordinate points on the X-axis in sequence with a smooth curve, the curve of the water level height in each column of piezometers changing with the distance can be generated.

[0097] In this embodiment, through comprehensive calculation and analysis of the horizontal discrete parameter and the longitudinal deviation parameter of the water level height values in each piezometer in the tailings pond dam, the water level anomaly parameter in the tailings pond dam is obtained, so as to achieve the purpose of fully analyzing and monitoring the water flow situation in the tailings pond dam.

[0098] In one embodiment, the method further includes:

[0099] Monitoring the first water level height data to obtain a monitoring result, and adjusting the preset frequency according to the monitoring result.

[0100] The process of adjusting the preset frequency includes:

[0101]

[0102]

[0103]

[0104]

[0105] Wherein, is the preset frequency, is the water level height value in the tailings pond, is the critical value of the water level height in the tailings pond, is the curve of the water level height value in the tailings pond changing with time, is the critical value of the water level change speed in the tailings pond, is the preset reference frequency for calculating and analyzing the water level height in the tailings pond dam body, is the preset time period.

[0106] When the water level change speed in the tailings pond exceeds the critical value of the water level change speed, increase the frequency of calculating and analyzing the water level height in the tailings pond dam body.

[0107] In this embodiment, by comprehensively analyzing the height of the water level in the tailings pond and the speed of the water level change, the preset frequency is intelligently adjusted. When the water level height value in the tailings pond is low and the water level change speed is low, the frequency of analyzing and calculating the water level height in the tailings pond dam body can be reduced, achieving the purpose of saving the computing power required in the process of monitoring the safety of the tailings pond. When the water level height value in the tailings pond is high or the water level change speed is high, increase the frequency of analyzing and calculating the water level height in the tailings pond dam body, achieving the purpose of fully monitoring the safety of the tailings pond, and potential safety hazards that may occur during the operation of the tailings pond can be monitored more timely.

[0108] See Figure 4 , this embodiment also provides a tailings pond safety monitoring system 400, including:

[0109] An acquisition module 401, configured to acquire the first water level height data in the tailings pond and the second water level height data inside the tailings pond dam body.

[0110] A judgment module 402, configured to respectively judge whether the first water level height data and the second water level height data reach a preset water level warning value.

[0111] A calculation module 403, configured to calculate a lateral dispersion parameter and a longitudinal deviation parameter of the water level height in the tailings dam body if the preset water level warning value is not reached.

[0112] An early warning module 404, configured to judge whether the second water level height data meets the early warning requirements at a preset frequency according to the lateral dispersion parameter and the longitudinal deviation parameter, and if the early warning requirements are met, generate a risk early warning signal.

[0113] It can be understood that the tailings pond safety monitoring system in this embodiment corresponds to the tailings pond safety monitoring method in the above embodiment, and the optional items in the above embodiment are also applicable to this embodiment, so they will not be repeated here.

[0114] The present application also provides a computer device. Exemplarily, the computer device includes a processor and a memory. The memory stores a computer program, and the processor runs the computer program to enable the computer device to execute the above-mentioned tailings pond safety monitoring method or the functions of each module in the above-mentioned tailings pond safety monitoring system.

[0115] Among them, the processor may be an integrated circuit chip with signal processing capabilities. The processor may be a general-purpose processor, including at least one of 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 other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc., and can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application.

[0116] The memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electric Erasable Programmable Read-Only Memory (EEPROM), etc. Among them, the memory is used to store a computer program, and after receiving an execution instruction, the processor can execute the computer program accordingly.

[0117] This application also provides a computer storage medium for storing the computer program used in the above computer device. Among them, the computer storage medium can be a readable storage medium, a non-volatile storage medium or a volatile storage medium. For example, the computer storage medium can include, but is not limited to: USB flash drives, mobile hard disks, Read Only Memory (ROM), Random Access Memory (RAM), magnetic disks or optical discs and other media that can store program codes.

[0118] In several embodiments provided by this 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 illustrative. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to multiple embodiments of this application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment or a part of code, and the module, program segment or part of 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 blocks can occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the structure diagram and / or flowchart, and the combination of blocks in the structure diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0119] In addition, each functional module or unit in various embodiments of the present application may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

[0120] If the above-mentioned function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may 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 various embodiments of the present application.

[0121] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all 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. is a preset time period; 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.

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 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.

4. The tailings pond safety monitoring method according to claim 2, 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.

5. 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. is a preset time period; 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.

6. 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 1-4.

7. 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 1-4.

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