A landslide safety early warning method and equipment based on a sudden drop in reservoir water level

CN116469232BActive Publication Date: 2026-09-01HUANENG LANCANG RIVER HYDROPOWER CO LTD
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Patent Information

Application Number
CN202310248259.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-13
Publication Date
2026-09-01
Estimated Expiration
2043-03-13

AI Technical Summary

Benefits of technology

[0026]区别于现有技术,本发明提供的基于库水位骤降的滑坡安全预警方法,根据实际水位调度方案,结合地质条件、工程经验类比、数值计算及安全系数判别等分析,建立库水位骤降幅度与滑坡塑性区贯通率及安全系数关系,根据塑性区贯通率及规范要求库水位骤降滑坡设计安全系数确定临界降幅值,以确定库水位降幅预警值。本发明基于滑坡地质资料,全方面综合判断库水位骤降引起的滑坡防灾减灾,该体系概念明确,操作方便,适用面广,可适合于流域水库运行库岸滑坡防灾减灾应用。通过本发明,能够以环境友好和防灾减灾的导向,定期对滑坡安全性进行复核,更新库水位预警值,并发布库水位预警信号,形成基于库水位骤降的滑坡安全预警预报技术方法。

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Abstract

This invention proposes a landslide safety early warning method and equipment based on sudden reservoir water level drops. The method establishes the relationship between the magnitude of the sudden water level drop and the penetration rate of the landslide's plastic zone and the safety factor, based on actual water level management plans, geological conditions, engineering experience analogies, numerical calculations, and safety factor assessments. The critical drop value is determined based on the plastic zone penetration rate and the required design safety factor for landslides during sudden water level drops, thus establishing the early warning value for the water level drop. This invention, based on landslide geological data, comprehensively assesses landslide disaster prevention and mitigation caused by sudden reservoir water level drops. The system is conceptually clear, easy to operate, and widely applicable, suitable for landslide disaster prevention and mitigation applications in river basin reservoir operations. Through this invention, landslide safety can be periodically reviewed, reservoir water level early warning values ​​updated, and early warning signals issued, guided by environmental friendliness and disaster prevention and mitigation principles, forming a landslide safety early warning and forecasting technology method based on sudden reservoir water level drops.
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Description

Technical Field

[0001] This invention relates to the field of landslide disaster prevention and control technology, and in particular to a landslide safety early warning method, device, equipment, and storage medium based on a sudden drop in reservoir water level. Background Technology

[0002] Large-scale hydropower projects are located in complex geological environments, and the safety of landslides in the reservoir and dam area is crucial to the safe construction and effective operation of hydropower stations. Many landslides in the reservoir area are caused by sudden drops in reservoir water levels. Changes in reservoir water levels can induce landslide deformation and instability, making it essential to establish a landslide safety early warning system for sudden drops in reservoir water levels. Summary of the Invention

[0003] This invention provides a method, device, equipment, and storage medium for landslide safety early warning based on a sudden drop in reservoir water level, aiming to scientifically conduct early warning of sudden drop in water level in reservoir landslides, making the early warning of sudden drop in water level in reservoir landslides more reasonable, scientific, and safe.

[0004] Therefore, the first objective of this invention is to propose a landslide safety early warning method based on a sudden drop in reservoir water level, comprising:

[0005] A reservoir water level drop early warning model was constructed to determine the early warning threshold for a sudden drop in reservoir water level. The early warning model for a sudden drop in reservoir water level includes an engineering experience analogy module, a numerical calculation module for judging the plastic zone penetration rate, and a safety factor discrimination module.

[0006] Obtain historical data on sudden drop in reservoir water level warnings within a set time interval, input them into the sudden drop in reservoir water level warning model, and obtain the warning threshold for sudden drop in reservoir water level.

[0007] Real-time parameters of sudden drop in reservoir water level are collected and compared with the warning threshold for sudden drop in reservoir water level. If at least one of the parameters of sudden drop in reservoir water level is greater than the corresponding data in the warning threshold for sudden drop in reservoir water level, a warning is issued.

[0008] Among them, in the early warning model for sudden drop in water level,

[0009] The engineering experience analogy module is used to compare reservoir bank landslides with similar engineering geological conditions, and the reservoir water level drop threshold of reservoir bank landslides with similar engineering geological conditions is used as the first reservoir water level drop threshold.

[0010] The numerical calculation module for judging the plastic zone penetration rate is used to perform stability calculations on the reservoir bank. The greater the sudden drop in water level, the higher the plastic zone penetration rate. The threshold for sudden drop in water level in the second reservoir is determined based on the plastic zone penetration rate obtained from the landslide numerical calculation.

[0011] The safety factor discrimination module uses the limit equilibrium method to calculate the safety factor of landslides with different water level drops based on geological data. The calculation results are compared with the design safety factor of landslides with sudden drops in reservoir water level required by relevant specifications to determine the threshold for sudden drops in the third reservoir water level.

[0012] The historical data for the reservoir water level drop warning includes the maximum daily drop, the maximum total weekly drop, and the maximum total 15-day drop, with the previous day as the last day of the current day as the current day. The reservoir water level drop warning thresholds determined based on the historical data for the reservoir water level drop warning include the maximum daily drop threshold, the maximum total weekly drop threshold, and the maximum total 15-day drop threshold, with the previous day as the last day of the current day as the current day as the current day as the current day.

[0013] The step of obtaining historical data on sudden drop in reservoir water level warnings within a set time interval, inputting it into the sudden drop in reservoir water level warning model, and obtaining the warning threshold for sudden drop in reservoir water level includes the following steps:

[0014] By inputting historical data on sudden drop in reservoir water level into the sudden drop in reservoir water level early warning model, the first, second, and third thresholds for sudden drop in reservoir water level are obtained.

[0015] By comparing the threshold values ​​for sudden drop in water level in the first reservoir, the second reservoir, and the third reservoir, the minimum value among the daily maximum drop threshold, the weekly maximum total drop threshold, and the 15-day maximum total drop threshold is selected and combined to obtain the reservoir water level sudden drop threshold.

[0016] This also includes the following steps:

[0017] The historical data of the reservoir water level drop warning is updated regularly, and the reservoir water level drop warning threshold is updated through the reservoir water level drop warning model.

[0018] The safety factor determination module adopts the limit equilibrium method. The standard requires a landslide design safety factor, and the landslide category and grade are determined according to the location, importance and hazards of the landslide. The stability analysis of reservoir bank landslides is divided into persistent, transient and accidental conditions. The design safety factor of the landslide is different for different conditions. The sudden drop in reservoir water level is a transient condition. The design safety factor is determined according to the determined landslide type, landslide grade and transient condition, and the specific landslide safety factor criterion is determined according to the classification of landslide safety factors.

[0019] The specifications require that the design safety factor be determined in accordance with the provisions of the "Code for Investigation of Landslide Prevention Engineering" (GB / T 32864-2016) and the "Code for Design of Slope of Hydropower and Water Conservancy Project" (DL / T 5353-2006).

[0020] The second objective of this invention is to provide a landslide safety early warning device based on a sudden drop in reservoir water level, comprising:

[0021] The model building module is used to construct a reservoir water level drop early warning model to determine the early warning threshold for a sudden drop in reservoir water level. The reservoir water level drop early warning model includes an engineering experience analogy module, a numerical calculation plastic zone penetration rate judgment module, and a safety factor discrimination module.

[0022] The threshold calculation module is used to obtain historical data of reservoir water level drop warning within a set time interval, input the reservoir water level drop warning model, and obtain the reservoir water level drop warning threshold.

[0023] The early warning module is used to collect real-time parameters of sudden drop in reservoir water level and compare them with the early warning threshold for sudden drop in reservoir water level. If at least one of the parameters of sudden drop in reservoir water level is greater than the corresponding data in the early warning threshold for sudden drop in reservoir water level, an early warning is issued.

[0024] A third objective of the present invention is to provide an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the method described above.

[0025] A fourth objective of this invention is to provide a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to perform the steps of the method according to the foregoing technical solution.

[0026] Unlike existing technologies, this invention provides a landslide safety early warning method based on sudden reservoir water level drops. Based on actual water level management plans, combined with geological conditions, engineering experience analogies, numerical calculations, and safety factor assessments, it establishes the relationship between the magnitude of the sudden reservoir water level drop and the penetration rate of the landslide's plastic zone and the safety factor. Based on the plastic zone penetration rate and the required design safety factor for landslides caused by sudden reservoir water level drops, it determines the critical drop value, thereby establishing the early warning value for the reservoir water level drop. This invention, based on landslide geological data, comprehensively assesses landslide disaster prevention and mitigation caused by sudden reservoir water level drops. The system is conceptually clear, easy to operate, and widely applicable, suitable for landslide disaster prevention and mitigation applications in river basin reservoir operations. Through this invention, guided by environmental friendliness and disaster prevention and mitigation principles, landslide safety can be periodically reviewed, reservoir water level early warning values ​​updated, and reservoir water level early warning signals issued, forming a landslide safety early warning and forecasting technology method based on sudden reservoir water level drops. Attached Figure Description

[0027] The present invention and / or its additional aspects and advantages will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0028] Figure 1 This is a flowchart illustrating a landslide safety early warning method based on a sudden drop in reservoir water level provided by the present invention.

[0029] Figure 2 This is a logical schematic diagram of a landslide safety early warning method based on a sudden drop in reservoir water level provided by the present invention.

[0030] Figure 3 This is a schematic diagram of a landslide safety early warning device based on a sudden drop in reservoir water level provided by the present invention.

[0031] Figure 4 This is a schematic diagram of the structure of a non-transitory computer-readable storage medium storing computer instructions provided by the present invention. Detailed Implementation

[0032] Embodiments of the present invention are described in detail below. Examples of these embodiments are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0033] Figure 1 A landslide safety early warning method based on a sudden drop in reservoir water level, provided in this embodiment of the invention, includes:

[0034] Step S110: Construct a reservoir water level drop early warning model to determine the reservoir water level drop early warning threshold; wherein, the reservoir water level drop early warning model includes an engineering experience analogy module, a numerical calculation plastic zone penetration rate judgment module, and a safety factor discrimination module.

[0035] In the early warning model for sudden drop in water level,

[0036] The engineering experience analogy module is used to compare reservoir bank landslides with similar engineering geological conditions, and the reservoir water level drop threshold of reservoir bank landslides with similar engineering geological conditions is used as the first reservoir water level drop threshold.

[0037] The numerical calculation module for judging the plastic zone penetration rate is used to perform stability calculations on the reservoir bank. The greater the sudden drop in water level, the higher the plastic zone penetration rate. The threshold for sudden drop in water level in the second reservoir is determined based on the plastic zone penetration rate obtained from the landslide numerical calculation.

[0038] The safety factor discrimination module uses the limit equilibrium method to calculate the safety factor of landslides with different water level drops based on geological data. The calculation results are compared with the design safety factor of landslides with sudden drops in reservoir water level required by relevant specifications to determine the threshold for sudden drops in the third reservoir water level.

[0039] The safety factor determination module adopts the limit equilibrium method. The standard requires a landslide design safety factor, and the landslide category and grade are determined according to the location, importance and hazards of the landslide. The stability analysis of reservoir bank landslides is divided into persistent, transient and accidental conditions. The design safety factor of the landslide is different for different conditions. The sudden drop in reservoir water level is a transient condition. The design safety factor is determined according to the determined landslide type, landslide grade and transient condition, and the specific landslide safety factor criterion is determined according to the classification of landslide safety factors.

[0040] The specifications require that the design safety factor be determined in accordance with the provisions of the "Code for Investigation of Landslide Prevention Engineering" (GB / T 32864-2016) and the "Code for Design of Slope of Hydropower and Water Conservancy Project" (DL / T 5353-2006).

[0041] Historical data for reservoir water level drop warnings include the maximum daily drop, the maximum total weekly drop, and the maximum total 15-day drop, taken as the last day of the current day. The reservoir water level drop warning thresholds determined based on the historical data include the maximum daily drop threshold, the maximum total weekly drop threshold, and the maximum total 15-day drop threshold, taken as the last day of the current day.

[0042] Step S120: Obtain historical data of reservoir water level drop warning within a set time interval, input it into the reservoir water level drop warning model, and obtain the reservoir water level drop warning threshold.

[0043] By inputting historical data on sudden drop in reservoir water level into the sudden drop in reservoir water level early warning model, the first, second, and third thresholds for sudden drop in reservoir water level are obtained.

[0044] By comparing the threshold values ​​for sudden drop in water level in the first reservoir, the second reservoir, and the third reservoir, the minimum value among the daily maximum drop threshold, the weekly maximum total drop threshold, and the 15-day maximum total drop threshold is selected and combined to obtain the reservoir water level sudden drop threshold.

[0045] Step S130: Collect real-time reservoir water level drop parameters and compare them with the reservoir water level drop warning threshold. If at least one of the reservoir water level drop parameters is greater than the corresponding data in the reservoir water level drop warning threshold, then issue a warning.

[0046] Specifically, based on reservoir water level scheduling and standard requirements, this invention establishes a reservoir water level early warning system from the aspects of daily maximum drop, weekly maximum total drop, and 15-day maximum total drop. The daily maximum drop, weekly maximum total drop, and 15-day maximum total drop in the reservoir water level early warning system can be obtained from the relationship between the reservoir water level drop and the safety factor calculated numerically, thereby obtaining the critical drop value.

[0047] like Figure 2As shown, this invention establishes an early warning system for sudden drops in reservoir water levels, with the index F = {F1, F7, F...}. 15 The focus is on the impact of reservoir water level decline on reservoir bank stability, with key parameters including the maximum daily decline F1, the maximum weekly total decline F7, and the maximum 15-day total decline F... 15 .

[0048] The model first uses an analogy based on engineering experience, comparing it with reservoir bank landslides with similar engineering geological conditions, to roughly determine the index Fa = {Fa1, Fa7, Fa...} for the reservoir water level drop early warning system. 15}

[0049] Then, a numerical calculation method for determining the plastic zone penetration rate was adopted. Stability calculations of the reservoir banks were performed using finite element method, finite difference method, and discrete element method. Different sudden drops in reservoir water level corresponded to different plastic zone penetration rates; the greater the sudden drop, the higher the plastic zone penetration rate. Based on the landslide numerical calculation, the plastic zone penetration rate was used to determine the reservoir water level drop value Fb = {Fb1, Fb7, Fb...}. 15}

[0050] Using the safety factor discrimination method and the limit equilibrium method, the safety factor of landslides with different water level drops was calculated based on geological data. The calculation results were compared with the design safety factor of landslides with sudden drops in reservoir water level required by relevant specifications, and the critical water level drop value Fc={Fc1, Fc7, Fc 15}

[0051] Based on the above indicators Fa, Fb, and Fc of the sudden drop in water level early warning system, the minimum value among the three phase indicators Fa, Fb, and Fc is selected as the early warning threshold for sudden drop in reservoir water level, F = {F1, F7, Fc}. 15}

[0052] Real-time acquisition of reservoir water level drop parameters f = {f1, f7, f...} 15}, the largest daily decline f1, the largest weekly total decline f7, and the largest 15-day total decline f 15 If any of the three parameters f is greater than the corresponding parameter in F, a warning will be issued.

[0053] It should be noted that in the historical data of the reservoir water level drop warning, the maximum daily drop is the maximum daily drop of the day before the current day, the maximum weekly total drop is the maximum weekly total drop of the week with the day before the current day as the last day, and the maximum 15-day total drop is the maximum 15-day total drop of the 15 days with the day before the current day as the last day.

[0054] The daily maximum drop (f1) in the real-time reservoir water level drop parameters is the daily maximum drop for the current day, the weekly maximum total drop (f7) is the weekly maximum total drop for the week ending with the current day, and the 15-day maximum total drop (f...) is... 15This is the largest total decline over the 15th of the month, with today being the last day.

[0055] In addition, the steps include: regularly updating historical data on sudden drop in reservoir water level warnings, and updating the warning threshold for sudden drop in reservoir water level using the reservoir water level sudden drop warning model.

[0056] The landslide safety is reviewed periodically, and the geological conditions and boundary conditions of the reservoir bank are continuously updated. Step 2 is used to apply the indicators F={F1, F7, F...} of the reservoir water level drop early warning system. 15} Make dynamic adjustments.

[0057] like Figure 3 As shown, this invention proposes a landslide safety early warning device 300 based on a sudden drop in reservoir water level, comprising:

[0058] The model building module 310 is used to build a reservoir water level drop early warning model to determine the reservoir water level drop early warning threshold; the reservoir water level drop early warning model includes an engineering experience analogy module, a numerical calculation plastic zone penetration rate judgment module, and a safety factor discrimination module.

[0059] The threshold calculation module 320 is used to obtain historical data of reservoir water level drop warning within a set time interval, input the reservoir water level drop warning model, and obtain the reservoir water level drop warning threshold.

[0060] The early warning module 330 is used to collect real-time reservoir water level drop parameters and compare them with the reservoir water level drop early warning threshold. If at least one of the reservoir water level drop parameters is greater than the corresponding data in the reservoir water level drop early warning threshold, an early warning is issued.

[0061] To implement the embodiments, the present invention also proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the landslide safety early warning method based on a sudden drop in reservoir water level in the aforementioned technical solution.

[0062] like Figure 4 As shown, the non-transitory computer-readable storage medium includes a memory 810 for instructions and an interface 830. The instructions can be executed by a landslide safety early warning processor 820 based on a sudden drop in reservoir water level to complete the method. Optionally, the storage medium can be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0063] To implement the embodiments, the present invention also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a landslide safety early warning based on a sudden drop in reservoir water level as described in the embodiments of the present invention.

[0064] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0065] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0066] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0067] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0068] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the described embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0069] Those skilled in the art will understand that all or part of the steps of the method described in the embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0070] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0071] The storage medium mentioned may be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the embodiments within the scope of the present invention.

Claims

1. A landslide safety early warning method based on a sudden drop in reservoir water level, characterized in that, include: A reservoir water level sudden drop early warning model is constructed to determine the early warning threshold for a sudden drop in reservoir water level; wherein, the reservoir water level sudden drop early warning model includes an engineering experience analogy module, a numerical calculation plastic zone penetration rate judgment module, and a safety factor discrimination module; Obtain historical data on sudden drop in reservoir water level within a set time interval, input the data into the sudden drop in reservoir water level early warning model, and obtain the sudden drop in reservoir water level early warning threshold. Real-time parameters of sudden drop in reservoir water level are collected and compared with the warning threshold for sudden drop in reservoir water level. If at least one of the parameters of sudden drop in reservoir water level is greater than the corresponding data in the warning threshold for sudden drop in reservoir water level, a warning is issued. In the aforementioned water level drop early warning model The engineering experience analogy module is used to compare reservoir bank landslides with similar engineering geological conditions, and the reservoir water level drop threshold of reservoir bank landslides with similar engineering geological conditions is used as the first reservoir water level drop threshold. The numerical calculation module for judging the plastic zone penetration rate is used to perform stability calculations on the reservoir bank. The greater the sudden drop in water level, the higher the plastic zone penetration rate. The threshold for sudden drop in water level in the second reservoir is determined based on the plastic zone penetration rate obtained from the landslide numerical calculation. The safety factor discrimination module adopts the limit equilibrium method to calculate the safety factor of landslides with different water level drops based on geological data. The calculation results are compared with the design safety factor of landslides with sudden drops in reservoir water level required by relevant specifications to determine the threshold for sudden drops in reservoir water level. The historical data for the reservoir water level drop warning includes the maximum daily drop, the maximum total weekly drop, and the maximum total 15-day drop, taken as the last day of the current day; the reservoir water level drop warning threshold determined based on the historical data for the reservoir water level drop warning includes the maximum daily drop threshold, the maximum total weekly drop threshold, and the maximum total 15-day drop threshold, taken as the last day of the current day. The steps of obtaining historical data on sudden drops in reservoir water levels within a set time interval, inputting it into the reservoir water level sudden drop warning model, and obtaining the reservoir water level sudden drop warning threshold include the following steps: By inputting the historical data of the reservoir water level drop warning into the reservoir water level drop warning model, the first reservoir water level drop threshold, the second reservoir water level drop threshold, and the third reservoir water level drop threshold are obtained; By comparing the threshold values ​​for sudden drop in water level in the first reservoir, the second reservoir, and the third reservoir, the minimum value among the daily maximum drop threshold, the weekly maximum total drop threshold, and the 15-day maximum total drop threshold is selected and combined to obtain the reservoir water level sudden drop threshold.

2. The landslide safety early warning method based on a sudden drop in reservoir water level according to claim 1, characterized in that, It also includes the following steps: The historical data of the reservoir water level drop warning is updated periodically, and the reservoir water level drop warning threshold is updated through the reservoir water level drop warning model.

3. The landslide safety early warning method based on a sudden drop in reservoir water level according to claim 1, characterized in that, The safety factor discrimination module adopts the limit equilibrium method. The standard requires a landslide design safety factor, and the landslide category and level are determined according to the location, importance and hazards of the landslide. The stability analysis of reservoir bank landslides is divided into persistent, transient and accidental conditions. The design safety factor of the landslide is different for different conditions. The sudden drop in reservoir water level is a transient condition. The design safety factor is determined according to the determined landslide type, landslide level and transient condition, and the specific landslide safety factor criterion is determined according to the classification of landslide safety factors.

4. The landslide safety early warning method based on a sudden drop in reservoir water level according to claim 3, characterized in that, The specifications require that the design safety factor be determined in accordance with the provisions of the "Code for Investigation of Landslide Prevention Engineering" (GB / T 32864-2016) and the "Code for Design of Slope of Hydropower and Water Conservancy Project" (DL / T 5353-2006).

5. A landslide safety early warning device based on a sudden drop in reservoir water level, characterized in that, The apparatus implements the method as described in claim 1, the apparatus comprising: The model building module is used to build a reservoir water level drop early warning model to determine the reservoir water level drop early warning threshold; wherein, the reservoir water level drop early warning model includes an engineering experience analogy module, a numerical calculation plastic zone penetration rate judgment module, and a safety factor discrimination module; The threshold calculation module is used to obtain historical data of reservoir water level drop warning within a set time interval, input the reservoir water level drop warning model, and obtain the reservoir water level drop warning threshold. The early warning module is used to collect real-time reservoir water level drop parameters and compare them with the reservoir water level drop early warning threshold. If at least one of the reservoir water level drop parameters is greater than the corresponding data in the reservoir water level drop early warning threshold, an early warning is issued.

6. An electronic device, comprising: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the method according to any one of claims 1-4.

7. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform each step of the method according to any one of claims 1-4.

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