Reservoir safety intelligent analysis method and system

Abstract

The invention relates to the technical field of reservoir safety management, and discloses a reservoir safety intelligent analysis method and system. The method comprises the steps of firstly obtaining water level change information of a reservoir, soil information of a reservoir surrounding slope and a slope grade; then according to the water level change information of the reservoir, the soil information around the reservoir and the grade of the slope body, the reservoir capacity invasion and occupation rate of the reservoir is obtained; and performing intelligent analysis on reservoir safety based on the reservoir capacity invasion and occupation rate of the reservoir. A traditional mode of passively monitoring the content of the deposits in the reservoir is broken through, closed-loop prediction from the water-soil interaction mechanism to the deposition consequence is achieved, reservoir sludge is cleared away in time, the safety of the reservoir is guaranteed, and prospective decision support is provided for the safety of the reservoir.

Description

Technical Field

[0001] The present invention relates to the technical field of reservoir safety management, and particularly to a method and system for intelligent analysis of reservoir safety. Background Art

[0002] A reservoir is a water conservancy project built by humans using water body resources such as rivers and lakes. As the core infrastructure for regulating the temporal and spatial distribution of water resources, it is an important facility for water resource regulation and utilization, and plays an irreplaceable role in flood control and disaster reduction, water supply guarantee, ecological restoration and other fields.

[0003] During the use of a reservoir, due to various reasons, a large amount of sediment has formed in the reservoir: for example, the sediment carried by the river is deposited due to the sudden drop in flow velocity after the water flow enters the reservoir area; extreme rainfall events caused by climate change further amplify the sediment input intensity, and short-term heavy rainfall leads to a sharp increase in the sediment inflow into the reservoir; deforestation and over-reclamation in the upper reaches damage the vegetation cover, unreasonable farming methods accelerate soil erosion, and mineral development and engineering construction directly increase the sediment volume entering the river; early-built reservoirs generally lack sediment drainage facilities, and the long-term high water level operation mode inhibits the sediment from flowing downstream; the density current sediment transport mechanism forms subsurface flow sedimentation under specific water and sediment conditions, and the muddy water that is not discharged in time forms secondary sedimentation in front of the dam. The superposition of multiple factors ultimately results in the shrinkage of the reservoir capacity and the decline of the function. Reservoir sedimentation not only affects the water storage capacity and regulation capacity of the reservoir, but also may trigger flood disasters and affect the production and life in the surrounding areas. Therefore, the reservoir dredging work is particularly important for the safety of the reservoir.

[0004] Although the dredging technology has been continuously improved, it still mainly detects the amount of silt in the reservoir by machines, so as to select whether to carry out dredging construction, lacking the predictive management of the silt in the reservoir, and it is necessary to regularly use machines to measure the reservoir, wasting a lot of manpower and material resources.

[0005] Therefore, how to predict the amount of silt in the reservoir, clean the reservoir silt in time, and ensure the safety of the reservoir has become an urgent problem to be solved. Summary of the Invention

[0006] In order to solve the above technical problems, on the one hand, the present invention provides a method for intelligent analysis of reservoir safety, including the following steps: Obtain the water level change information of the reservoir, the soil information of the slope around the reservoir, and the slope grade; Obtain the reservoir capacity occupation rate according to the water level change information of the reservoir, the soil information around the reservoir, and the slope grade; Based on the reservoir capacity occupation rate, conduct intelligent analysis on the reservoir safety.

[0007] In some embodiments, obtaining the reservoir capacity occupation rate according to the water level change information of the reservoir, the soil information of the slope around the reservoir, and the slope grade includes: Obtaining the soil loosening degree of the slope around the reservoir according to the water level change information of the reservoir and the soil information of the slope around the reservoir; Calculating the slope deformation rate of the slope around the reservoir based on the water level change information of the reservoir and the slope grade of the slope around the reservoir; Calculating the reservoir capacity occupation rate of the reservoir based on the slope deformation rate of the slope around the reservoir.

[0008] In some embodiments, calculating the slope deformation rate of the slope around the reservoir based on the water level change information of the reservoir and the slope grade of the slope around the reservoir includes: Determining the first slope deformation rate of the slope around the reservoir based on the water level change information of the reservoir and the slope grade of the slope around the reservoir; Obtaining the second slope deformation rate of the slope around the reservoir according to the soil loosening degree of the slope around the reservoir and in combination with the first slope deformation rate of the slope around the reservoir; Taking the second slope deformation rate of the slope around the reservoir as the slope deformation rate of the slope around the reservoir.

[0009] In some embodiments, obtaining the second slope deformation rate of the slope around the reservoir according to the soil loosening degree of the slope around the reservoir and in combination with the first slope deformation rate of the slope around the reservoir includes: Obtaining the building technical parameters of the buildings on the slope around the reservoir to determine the bearing capacity of the soil layer by the buildings on the slope around the reservoir; Determining the settlement deformation force of the buildings on the slope around the reservoir based on the soil loosening degree of the slope around the reservoir and in combination with the bearing capacity of the soil layer by the buildings on the slope around the reservoir; Obtaining the second slope deformation rate of the slope around the reservoir based on the settlement deformation force of the buildings on the slope around the reservoir and the first slope deformation rate of the slope around the reservoir.

[0010] In some embodiments, the method for obtaining the water level change information of the reservoir is: Obtaining the water level values of the reservoir at different times and marking them on the time-water level image to obtain the time-water level curve; Based on the time-water level curve, obtaining the curve slope at each time as the water level change rate of the reservoir at that time; Taking the water level change rates of the reservoir at each time as the water level change information of the reservoir.

[0011] In some embodiments, obtaining the degree of soil loosening of the slope around the reservoir based on the water level change information of the reservoir and the soil information of the slope around the reservoir includes: Determining the weight of the influence of soil loosening of the slope around the reservoir according to the soil information of the slope around the reservoir; Obtaining the degree of soil loosening of the slope around the reservoir according to the water level change information of the reservoir and the weight of the influence of soil loosening of the slope around the reservoir.

[0012] In some embodiments, calculating the reservoir capacity occupation rate based on the slope deformation rate of the slope around the reservoir includes: Calculating the degree of soil loss of the slope around the reservoir according to the slope deformation rate of the slope around the reservoir; Determining the reservoir capacity occupation rate of the reservoir according to the degree of soil loss of the slope around the reservoir.

[0013] In some embodiments, the method for determining the slope grade of the slope around the reservoir is as follows: Determining the slope height threshold corresponding to different grades of each slope material according to the slope material of the slope around the reservoir; Judging the slope height threshold into which the slope height of the slope around the reservoir falls to determine the slope grade of the slope around the reservoir.

[0014] In some embodiments, the intelligent analysis of the reservoir safety based on the reservoir capacity occupation rate includes: Comparing the reservoir capacity occupation rate of the reservoir with a preset threshold: If the reservoir capacity occupation rate of the reservoir is less than the preset threshold, no warning is given; If the reservoir capacity occupation rate of the reservoir is greater than or equal to the preset threshold, a corresponding warning is issued and desilting construction is carried out on the reservoir.

[0015] On the other hand, the present invention also provides a reservoir safety intelligent analysis system for implementing a reservoir safety intelligent analysis method described in any one of the above, and the system includes an information acquisition module, a reservoir capacity occupation rate calculation module, and an intelligent analysis module: The information acquisition module is used to acquire the water level change information of the reservoir, the soil information of the slope around the reservoir, and the slope grade; The reservoir capacity occupation rate calculation module is connected to the information acquisition module and is used to obtain the reservoir capacity occupation rate of the reservoir according to the water level change information of the reservoir, the soil information around the reservoir, and the slope grade; The intelligent analysis module is connected to the reservoir capacity occupation rate calculation module and is used to perform intelligent analysis on the reservoir safety based on the reservoir capacity occupation rate of the reservoir.

[0016] The embodiments of the present invention have the following technical effects: The present invention first obtains the water level change information of the reservoir, the soil information of the slope around the reservoir, and the slope grade; then, based on the water level change information of the reservoir, the soil information around the reservoir, and the slope grade, the reservoir capacity occupation rate is obtained; and then, based on the reservoir capacity occupation rate, the safety of the reservoir is intelligently analyzed. This technical solution establishes a reservoir capacity occupation prediction method through the dynamic coupling of real-time monitoring of the water level change information of the reservoir, the soil information of the slope around the reservoir, and the slope grade. It breaks through the traditional passive monitoring mode of the existing sediment content in the reservoir, realizes the closed-loop prediction from the mechanism of soil-water interaction to the sedimentation consequences, timely clears the reservoir silt, ensures the safety of the reservoir, and provides forward-looking decision-making support for the safety of the reservoir. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 is a flowchart of the steps of a method for intelligent analysis of reservoir safety provided by an embodiment of the present invention; Figure 2 is a time-water level curve graph provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0020] The core cause of reservoir sedimentation is that the sediment inflow into the reservoir exceeds the sediment discharge capacity, and the sediment input mainly comes from the soil erosion and landslides of the slopes around the reservoir. Traditional methods rely on regular mechanical detection and cannot dynamically predict the increase in silt, resulting in delayed sediment cleaning. This solution establishes a coupling model of water level change - slope stability - reservoir capacity occupation rate to predict the degree of silt occupation of the reservoir capacity in real time.

[0021] Figure 1 is a flowchart of the steps of a method for intelligent analysis of reservoir safety provided by an embodiment of the present invention, as Figure 1As shown, a reservoir safety intelligent analysis method provided by the present invention includes the following steps: S1: Obtain the water level change information of the reservoir, the soil information of the slope around the reservoir, and the slope grade; In some embodiments, the method for obtaining the water level change information of the reservoir is as follows: Obtain the water level values of the reservoir at different times and mark them on the time-water level image to obtain the time-water level curve graph, as Figure 2 shown; Based on the time-water level curve graph, obtain the curve slope at each time as the water level change rate of the reservoir at that time; Use the water level change rate of the reservoir at each time as the water level change information of the reservoir.

[0022] Obtain the water level information of the reservoir at different times and present the water level information in the form of a curve graph. The slope on the curve graph represents the water level change rate of the reservoir at the current time. Viewing the water level change rate in the form of a curve graph is simple and clear. A large slope indicates a large current water level change rate; a small slope indicates a small current water level change rate.

[0023] Water level fluctuations affect slope stability through two mechanisms: one is that the rise and fall of the water level generate an osmotic pressure difference, changing the internal stress distribution of the soil mass; the other is that when the water level drops suddenly, a reverse osmotic pressure is formed, reducing the anti-sliding force. In this solution, a time-water level curve model is established, and the differential method is used to extract the instantaneous change rate to quantify the dynamic characteristics of the water level.

[0024] In some embodiments, the method for determining the slope grade of the slope around the reservoir is as follows: According to the slope materials of the slopes around the reservoir, determine the slope height thresholds corresponding to different grades of each slope material; Judge the slope height threshold into which the slope height of the slope around the reservoir falls to determine the slope grade of the slope around the reservoir.

[0025] Exemplarily, obtain the slope material and slope height of the slopes around the reservoir, classify the slopes around the reservoir, and obtain the slope grades of the slopes around the reservoir. Specifically: according to the slope material of the slopes around the reservoir, determine the threshold ranges of slope heights for different grades, and classify the slope grades into grade one, grade two, grade three, and grade four. As shown in Table 1, for grade-one slopes: the height of rock slopes is greater than 30m, and the height of soil slopes is greater than 15m; for grade-two slopes: the height of rock slopes ranges from 15 to 30m, and the height of soil slopes ranges from 10 to 15m; for grade-three slopes: the height of rock slopes ranges from 8 to 15m, and the height of soil slopes ranges from 5 to 10m; for grade-four slopes: the height of rock slopes is less than 8m, and the height of soil slopes is less than 5m. Determine the threshold of the slope height that the slope height of the slopes around the reservoir falls into to determine the slope grade of the slopes around the reservoir. For example, if the slope material of the slopes around the reservoir is rock and the slope height is 25m, then the slope grade of the slopes around the reservoir is grade two.

[0026]

[0027] When classifying the slope grades of the slopes around the reservoir, break through the limitations of the traditional empirical grading method, introduce the slope material and slope height of the slopes around the reservoir, and make the classification of the slope grades of the slopes around the reservoir more accurate.

[0028] S2: Obtain the reservoir capacity occupation rate according to the water level change information of the reservoir, the soil information around the reservoir, and the slope grade. In some embodiments, obtaining the reservoir capacity occupation rate according to the water level change information of the reservoir, the soil information of the slopes around the reservoir, and the slope grade includes: S21: Obtain the soil loosening degree of the slopes around the reservoir according to the water level change information of the reservoir and the soil information of the slopes around the reservoir. In some embodiments, obtaining the soil loosening degree of the slopes around the reservoir according to the water level change information of the reservoir and the soil information of the slopes around the reservoir includes: S211: Determine the soil loosening influence weight of the slopes around the reservoir according to the soil information of the slopes around the reservoir. Exemplarily, obtain the soil bulk density m, soil porosity k, and soil density of the slopes around the reservoir , and obtain the soil loosening influence weight q1 of the slopes around the reservoir soil = ×ln k m ; According to the soil information of the slopes around the reservoir, determine the soil loosening influence weight of the slopes around the reservoir soil. The smaller the soil bulk density, the larger the soil porosity, and the larger the soil density, the greater the soil loosening influence weight of the slopes around the reservoir soil.

[0029] S212: Obtain the soil loosening degree of the slope around the reservoir according to the water level change information of the reservoir and the soil loosening influence weight of the slope around the reservoir.

[0030] Exemplarily, calculate the soil loosening degree of the slope around the reservoir as follows: ε = α × q1; Where α represents the water level change information of the reservoir. That is, the greater the change in the water level change information of the reservoir, the greater the loosening effect on the soil.

[0031] S22: Calculate the slope deformation rate of the slope around the reservoir according to the water level change information of the reservoir and the slope grade of the slope around the reservoir; In some embodiments, calculating the slope deformation rate of the slope around the reservoir according to the water level change information of the reservoir and the slope grade of the slope around the reservoir includes: S221: Determine the first slope deformation rate of the slope around the reservoir according to the water level change information of the reservoir and the slope grade of the slope around the reservoir; Exemplarily, the calculation of the first slope deformation rate E1 of the slope around the reservoir can be through the following formula: E1 = α × q2; The slope deformation influence weight q2 of the slope around the reservoir can be determined according to the slope grade of the slope around the reservoir. The higher the slope grade, the easier it is to cause slope deformation to the slope around the reservoir, and the greater the slope deformation influence weight of the slope around the reservoir. Different slope grades correspond to different weight values, and those skilled in the art can customize the specific values of the influence weight according to experience. According to the water level change rate of the reservoir, combined with the slope deformation influence weight of the slope around the reservoir, the first slope deformation rate of the slope around the reservoir is obtained.

[0032] S222: Obtain the second slope deformation rate of the slope around the reservoir according to the soil loosening degree of the slope around the reservoir and in combination with the first slope deformation rate of the slope around the reservoir; In some embodiments, obtaining the second slope deformation rate of the slope around the reservoir according to the soil loosening degree of the slope around the reservoir and in combination with the first slope deformation rate of the slope around the reservoir includes: S222a: Obtain the building technical parameters of the buildings on the slope around the reservoir to determine the bearing capacity of the buildings on the slope around the reservoir for the soil layer; Exemplarily, obtain the foundation construction depth d, building height g, and building area s of the buildings on the slope around the reservoir, and determine the bearing capacity F of the buildings on the slope around the reservoir for the soil layer: F = k1 × d + k2 × g + k3 × s; Where k1, k2, and k3 are the preset bearing capacity weights corresponding to the foundation construction depth d, building height g, and building area s respectively; S222b: Determine the settlement and deformation force of the buildings on the slopes around the reservoir based on the degree of soil loosening of the slopes around the reservoir and in combination with the bearing capacity of the soil layer by the buildings on the slopes around the reservoir. Exemplarily, ∆F = ε × F; where ∆F represents the settlement and deformation force of the buildings on the slopes around the reservoir.

[0033] S222c: Obtain the second slope deformation rate E2 of the slopes around the reservoir based on the settlement and deformation force of the buildings on the slopes around the reservoir and the first slope deformation rate of the slopes around the reservoir.

[0034] Exemplarily, E2 = ∆F × E1; Due to the change of soil loosening, the buildings on the slopes will have corresponding settlement and deformation forces. This settlement acting force acts on the slopes around the reservoir, causing a change in the first slope deformation rate and obtaining the second slope deformation rate.

[0035] S223: Use the second slope deformation rate of the slopes around the reservoir as the slope deformation rate of the slopes around the reservoir.

[0036] S23: Calculate the reservoir capacity occupation rate based on the slope deformation rate of the slopes around the reservoir.

[0037] In some embodiments, calculating the reservoir capacity occupation rate based on the slope deformation rate of the slopes around the reservoir includes: S231: Calculate the degree of soil loss of the slopes around the reservoir according to the slope deformation rate of the slopes around the reservoir; Exemplarily, θ = α × E2 S232: Determine the reservoir capacity occupation rate according to the degree of soil loss of the slopes around the reservoir.

[0038]

[0039] where, is the reservoir capacity occupation rate, μ is the total amount of soil of the slopes around the reservoir, and σ is the total capacity of the reservoir.

[0040] Use the second slope deformation rate of the slopes around the reservoir as the slope deformation rate of the slopes around the reservoir to predict the degree of soil loss of the slopes around the reservoir. The greater the degree of soil loss, the greater the amount of silt flowing into the reservoir, and the greater the reservoir capacity occupation rate. When it is predicted that the reservoir capacity occupation rate is greater than the preset threshold, desilting construction is carried out on the reservoir, enabling the staff to clean the reservoir silt in time and ensuring the safety of the reservoir.

[0041] S3: Conduct intelligent analysis on the safety of the reservoir based on the reservoir capacity occupation rate.

[0042] In some embodiments, intelligent analysis of reservoir safety is performed based on the reservoir capacity occupation rate, including: Comparing the reservoir capacity occupation rate with a preset threshold: If the reservoir capacity occupation rate is less than the preset threshold, no warning is issued; If the reservoir capacity occupation rate is greater than or equal to the preset threshold, a corresponding warning is issued and sediment removal construction is carried out on the reservoir.

[0043] In the present invention, by detecting the water level change of the reservoir, the degree of soil loosening affected by the water level and the first slope deformation rate of the slope around the reservoir are obtained. At the same time, due to the change of soil loosening, the buildings on the slope will undergo corresponding settlement deformation forces. This settlement force acts on the slope around the reservoir, causing a change in the first slope deformation rate and obtaining the second slope deformation rate. According to the second slope deformation rate of the slope around the reservoir, the degree of soil erosion of the slope around the reservoir is predicted. The greater the degree of soil erosion, the greater the amount of silt flowing into the reservoir, and thus the greater the reservoir capacity occupation rate. When it is predicted that the reservoir capacity occupation rate is greater than the preset threshold, sediment removal construction is carried out on the reservoir, enabling the staff to clean the reservoir silt in time and ensuring the safety of the reservoir.

[0044] It includes obtaining the water level change rate of the reservoir, combining the soil information of the slope around the reservoir to determine the degree of soil loosening of the slope around the reservoir; based on the water level change rate of the reservoir, combining the slope information of the slope around the reservoir to determine the first slope deformation rate of the slope around the reservoir; obtaining the settlement deformation force of the buildings on the slope around the reservoir, combining the first slope deformation rate of the slope around the reservoir to predict the second slope deformation rate of the slope around the reservoir; based on the second slope deformation rate of the slope around the reservoir, predicting the degree of soil erosion of the slope around the reservoir; based on the degree of soil erosion of the slope around the reservoir, combining the total capacity of the reservoir to predict the reservoir capacity occupation rate. This application can clean the reservoir silt in time and ensure the safety of the reservoir.

[0045] On the other hand, the present invention also provides a reservoir safety intelligent analysis system for implementing a reservoir safety intelligent analysis method according to any one of the above, and the system includes an information acquisition module, a reservoir capacity occupation rate calculation module, and an intelligent analysis module: The information acquisition module is used to acquire the water level change information of the reservoir, the soil information of the slope around the reservoir, and the slope grade; The reservoir capacity occupation rate calculation module is connected to the information acquisition module and is used to obtain the reservoir capacity occupation rate according to the water level change information of the reservoir, the soil information around the reservoir, and the slope grade; The intelligent analysis module is connected to the reservoir capacity occupation rate calculation module and is used to perform intelligent analysis of reservoir safety based on the reservoir capacity occupation rate.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the technical solutions of the embodiments of the present invention.

Claims

1. A reservoir safety intelligent analysis method, characterized in that: The steps include: Obtain the water level change information of the reservoir, the soil information of the slopes around the reservoir, and the slope grade; Obtaining the reservoir capacity occupation rate according to the water level change information of the reservoir, the soil information around the reservoir and the slope grade; Based on the reservoir capacity encroachment rate of the reservoir, an intelligent analysis of the reservoir safety is performed.

2. The reservoir safety intelligent analysis method according to claim 1 is characterized in that: The reservoir capacity occupation rate is obtained according to the water level change information of the reservoir, the soil information of the slope around the reservoir and the slope grade, including: Obtaining the soil looseness degree of the slope around the reservoir according to the water level change information of the reservoir and the soil information of the slope around the reservoir; Calculating the slope deformation rate of the slope around the reservoir based on the water level change information of the reservoir and the slope grade of the slope around the reservoir; The storage capacity occupancy rate of the reservoir is calculated based on the slope deformation rate of the slope around the reservoir.

3. The reservoir safety intelligent analysis method according to claim 2 is characterized in that: The step of calculating the slope deformation rate of the slope around the reservoir based on the water level change information of the reservoir and the slope grade of the slope around the reservoir includes: Determining a first slope deformation rate of the slope around the reservoir based on the water level change information of the reservoir and the slope grade of the slope around the reservoir; According to the soil looseness degree of the slope around the reservoir, combined with the first slope deformation rate of the slope around the reservoir, a second slope deformation rate of the slope around the reservoir is obtained; The second slope deformation rate of the slope around the reservoir is used as the slope deformation rate of the slope around the reservoir.

4. The reservoir safety intelligent analysis method according to claim 3 is characterized in that: The second slope deformation rate of the slope around the reservoir is obtained according to the soil looseness degree of the slope around the reservoir and the first slope deformation rate of the slope around the reservoir, including: Obtain the construction technical parameters of buildings on the slopes around the reservoir to determine the bearing capacity of the buildings on the slopes around the reservoir on the soil layer; Based on the looseness of the soil on the slopes around the reservoir and the bearing capacity of the buildings on the slopes around the reservoir on the soil layer, the settlement deformation force of the buildings on the slopes around the reservoir is determined; The second slope deformation rate of the slope around the reservoir is obtained according to the settlement deformation force of the buildings on the slope around the reservoir and the first slope deformation rate of the slope around the reservoir.

5. The reservoir safety intelligent analysis method according to claim 2 is characterized in that: The method for obtaining the water level change information of the reservoir is: Obtain the water level values ​​of the reservoir at different times and mark them on the time-water level image to obtain a time-water level curve diagram; Based on the time-water level curve diagram, the slope of the curve at each time is obtained as the water level change rate of the reservoir at that time; The water level change rate of the reservoir at each moment is used as the water level change information of the reservoir.

6. The reservoir safety intelligent analysis method according to claim 2 is characterized in that: The step of obtaining the soil looseness degree of the slope around the reservoir according to the water level change information of the reservoir and the soil information of the slope around the reservoir includes: Determining the soil loosening influence weight of the slope around the reservoir based on the soil information of the slope around the reservoir; The soil looseness degree of the slope around the reservoir is obtained according to the water level change information of the reservoir and the soil loosening influence weight of the slope around the reservoir.

7. The reservoir safety intelligent analysis method according to claim 2 is characterized in that: The calculating of the reservoir capacity occupancy rate of the reservoir based on the slope deformation rate of the slope around the reservoir comprises: Calculating the degree of soil loss of the slope around the reservoir based on the slope deformation rate of the slope around the reservoir; The reservoir capacity occupation rate of the reservoir is determined according to the degree of soil loss of the slopes surrounding the reservoir.

8. The reservoir safety intelligent analysis method according to claim 1 is characterized in that: The slope grade of the slope around the reservoir is determined by: According to the slope materials of the slopes around the reservoir, the slope height thresholds corresponding to different grades of each slope material are determined; The slope height threshold within which the slope height of the slope around the reservoir falls is determined to determine the slope grade of the slope around the reservoir.

9. The reservoir safety intelligent analysis method according to claim 1, characterized in that: The intelligent analysis of reservoir safety based on the reservoir capacity occupancy rate includes: Compare the reservoir capacity encroachment rate of the reservoir with the preset threshold: If the reservoir capacity occupancy rate is less than the preset threshold, no warning is issued; If the reservoir capacity occupancy rate is greater than or equal to the preset threshold, a corresponding warning will be issued and the reservoir will be destocked.

10. A reservoir safety intelligent analysis system, characterized in that: Used to implement the reservoir safety intelligent analysis method according to any one of claims 1 to 9, the system includes an information acquisition module, a reservoir capacity occupancy rate calculation module and an intelligent analysis module: The information acquisition module is used to obtain water level change information of the reservoir, soil information of the slope around the reservoir, and slope grade; The reservoir capacity encroachment rate calculation module is connected to the information acquisition module and is used to obtain the reservoir capacity encroachment rate according to the water level change information of the reservoir, the soil information around the reservoir and the slope grade; The intelligent analysis module is connected to the reservoir capacity occupancy rate calculation module and is used to perform intelligent analysis on reservoir safety based on the reservoir capacity occupancy rate of the reservoir.

Images