Water conservancy scenic spot disaster early warning flood prevention platform and method based on digital twinning

Abstract

The invention discloses a water conservancy scenic spot disaster early warning flood prevention platform and method based on digital twinning, and relates to the technical field of disaster early warning flood prevention. The main scheme is as follows: a sensor is utilized to collect various data of a water conservancy scenic spot, and then water level, water velocity, rainfall, geology and facility availability indexes are calculated respectively; a digital twinborn model is constructed based on three-dimensional modeling software through the indexes, comprehensive environment data indexes are simulated and calculated, data indexes in a future period of time can be input to simulate future conditions, finally, a disaster early warning threshold value is set, the future comprehensive environment data indexes are compared with the disaster early warning threshold value, and whether early warning is triggered or not is judged. And if so, generating and issuing early warning information.

Description

Technical Field

[0001] The present invention relates to the technical field of disaster warning and flood prevention, and specifically to a disaster warning and flood prevention platform and method for water conservancy scenic areas based on digital twins. Background Art

[0002] Water conservancy scenic areas are often faced with threats of various natural disasters such as floods, landslides, and mud-rock flows. Traditional disaster warning and flood prevention methods have many shortcomings. For example, data collection is inaccurate and incomplete, data is easily lost or erroneous during transmission, model construction is not precise enough, the analysis method is single and cannot effectively process complex data, warning information release is not targeted, and decision support lacks scientific basis and dynamic updates. These problems seriously affect the effectiveness of disaster warning and flood prevention in water conservancy scenic areas, and pose potential risks to the safety of life and property and the ecological environment in the scenic areas. In the entire flood prevention process, there is a lack of clear requirements for the accuracy of each link, which makes it difficult to accurately evaluate the system performance and ensure the safety and reliability of warning and flood prevention. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the shortcomings of the prior art, the present invention provides a water conservancy scenic area disaster warning and flood prevention platform and method based on digital twins. Through sensors, water level data, water flow velocity data, rainfall data, geological data and operating status data of facilities in the water conservancy scenic area are collected in real time, which solves the clear requirements for the accuracy of each link, the problems of inaccurate and incomplete data collection and dynamic real-time updating of data; a series of calculations are performed based on different types of data to obtain water level indicators, water flow velocity indicators, rainfall indicators, geological indicators and facility availability indicators, which solves the problem that the analysis method is single and cannot effectively process complex data; based on three-dimensional modeling software, a digital twin model is constructed using the above-mentioned various indicators, which solves the problem that the model construction is not accurate enough and is easy to lose or error during transmission; by setting a disaster warning threshold set, the comprehensive environmental data indicators for a period of time in the future are compared with the threshold set, which solves the accuracy of system performance evaluation and the problem of ensuring the safety and reliability of warning and flood prevention; by issuing warning information in advance, the ability of the scenic area to respond to disasters can be effectively improved and the safety of personnel and facilities in the scenic area can be guaranteed.

[0005] (II) Technical solution

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A water conservancy scenic area disaster early warning and flood prevention method based on digital twins, comprising the following steps:

[0007] Step 1: Use sensors to collect real-time water level data, water flow velocity data, rainfall data, geological data, and operating status data of facilities in the water conservancy scenic area;

[0008] Step 2: Use the water level data of the water conservancy scenic area to calculate the water level change rate A1, water area volume change A2 and hydraulic gradient A3, and further obtain the water level index CD;

[0009] The hydraulic gradient index Sf is calculated using the water flow velocity data and water level data of the water conservancy scenic area; the water flow velocity index QE is further calculated based on the hydraulic gradient index Sf;

[0010] Calculate the rainfall accumulation P using the rainfall data of the water conservancy scenic area cum ; Using the accumulated rainfall in the water conservancy scenic area P cum and water level change rate A1 to calculate the water storage capacity HG; according to the rainfall accumulation P cum and water storage capacity HG to calculate the rainfall index SR;

[0011] The geological data of the water conservancy scenic area are used to calculate the mountain stability coefficient FS and the rock and soil deformation modulus EP, and further obtain the geological index SP;

[0012] The facility availability index GY is calculated using the operating status data of the facilities in the scenic area of ​​the water conservancy scenic area;

[0013] Step 3: Based on the three-dimensional modeling software, a digital twin model is constructed using the water level index CD, the water flow velocity index QE, the rainfall index SR, the geological index SP and the facility availability index GY, and the comprehensive environmental data index GH is simulated and calculated through the digital twin model; the above data indicators for a period of time in the future are input into the digital twin model, and the comprehensive environmental data index GH for a period of time in the future is simulated and calculated;

[0014] Step 4: Set a disaster warning threshold set, compare the comprehensive environmental data indicator GH for a period of time in the future with the disaster warning threshold set, determine whether to trigger the warning mechanism, generate warning information and release the warning information.

[0015] In the preferred scheme of the water conservancy scenic area disaster warning and flood prevention method based on digital twins, the method for calculating the water level index CD is:

[0016] Water level data include water level value and water area Y;

[0017] The water level change rate A1 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows:

[0018]

[0019] Among them, h(t1) is the water level value at the initial time t1; h(t2) ​​is the water level value at the final time t2;

[0020] The water volume change A2 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows:

[0021] A2=Y·[h(t2)-h(t1)]

[0022] The hydraulic gradient A3 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows:

[0023]

[0024] Among them, h k is the water level at the Kth position; h k+1 is the water level at the K+1th position; L is the horizontal distance between the Kth and K+1th positions; K is the sequence number of different water level positions, and its value is [1, m]; m is the number of different water level positions, and its value is a positive integer;

[0025] The water level index CD is calculated based on the water level change rate A1, water area volume change A2 and hydraulic gradient A3, and the formula is as follows:

[0026] CD=α1×A1+α2×A2+α3×A3

[0027] Among them, α1 is the weight coefficient of the water level change rate A1, and its value is 0.2~0.5; α2 is the weight coefficient of the water area volume change A2, and its value is 0.3~0.5; α3 is the weight coefficient of the hydraulic gradient A3, and its value is 0.2~0.5; and α1+α2+α3=1.

[0028] In the preferred scheme of the water conservancy scenic area disaster warning and flood prevention method based on digital twins, the method for calculating the water flow velocity index QE is:

[0029] The water flow velocity data includes a water flow velocity value V;

[0030] The hydraulic gradient index Sf is calculated based on the water velocity data and water level data according to the following formula:

[0031]

[0032] Where g is the acceleration due to gravity;

[0033] The water velocity index QE is calculated based on the hydraulic gradient index Sf, the water area Y and the water velocity value V. The formula is as follows:

[0034]

[0035] Among them, ∈1 is the weight coefficient of the hydraulic gradient index Sf, which takes a value of 0.4~0.6; the water area Y and the water velocity value V are multiplied to obtain the water flow Q, ∈2 is the weight coefficient of the water flow Q, which takes a value of 0.4~0.6; and ∈1+∈2=1.

[0036] In the preferred scheme of the water conservancy scenic area disaster warning and flood prevention method based on digital twins, the method for calculating the rainfall index SR is:

[0037] The rainfall data includes the actual rainfall GF in each time interval a ;

[0038] Calculate the rainfall accumulation P based on rainfall data cum , the formula is as follows:

[0039]

[0040] Among them, GF a is the actual rainfall in the ath time interval; a is the serial number corresponding to different time intervals, and its value is [1, b]; b is the total number of time intervals, and its value is a positive integer;

[0041] According to the rainfall accumulation P cum The water storage capacity HG is calculated based on the water level change rate A1, and the formula is:

[0042] HG=P cum ×A1

[0043] According to the rainfall accumulation P cum The rainfall index SR is calculated based on the water storage capacity HG according to the following formula:

[0044]

[0045] In the preferred scheme of the water conservancy scenic area disaster warning and flood prevention method based on digital twins, the method for calculating the mountain stability coefficient FS is:

[0046] Geological data include the length of the mountain sliding surface S f , Sliding body weight W f , pore water pressure U f and soil cohesion C f ;

[0047] The mountain stability coefficient FS is calculated based on geological data according to the following formula:

[0048]

[0049] Among them, C f is the rock and soil cohesion of the fth layer; S fis the length of the mountain sliding surface in the fth layer; U f is the pore water pressure of the fth layer; W f is the weight of the sliding body in the fth layer; θ is the inclination angle of the sliding surface; θ f is the inclination angle of the sliding surface of the fth layer; is the angle between the sliding surface and the horizontal plane; is the angle between the sliding surface of the fth layer and the horizontal plane; f is the serial number corresponding to different geological layers, and its value is [1, h]; h is the total number of geological layers, and its value is a positive integer.

[0050] In the preferred scheme of the water conservancy scenic area disaster early warning and flood prevention method based on digital twins, the method for calculating the deformation modulus EP of the rock and soil mass and the geological index SP is as follows:

[0051] The geological data also include geological settlement m;

[0052] According to the geological settlement m and the sliding body weight W f The formula for calculating the deformation modulus EP of rock and soil mass is as follows:

[0053]

[0054] Among them, μ is the geological Poisson's ratio, which ranges from 0 to 0.5;

[0055] The geological index SP is calculated based on the mountain stability coefficient FS and the deformation modulus EP of the rock and soil mass, and the formula is as follows:

[0056] SP=FS×EP

[0057] In the preferred scheme of the water conservancy scenic area disaster warning and flood prevention method based on digital twins, the method for calculating the facility availability index GY is:

[0058] Operation status data includes mean time between failures (MTBF), mean time to repair (MTTR), total operation time (MBER) and available time (MSGB);

[0059] The facility availability index GY is calculated based on the operating status data of the facilities in the scenic area. The formula is as follows:

[0060]

[0061] In the preferred scheme of the water conservancy scenic area disaster warning and flood prevention method based on digital twins, the method for calculating the comprehensive environmental data index GH is:

[0062] The water level index CD, water flow velocity index QE, rainfall index SR, geological index SP and facility availability index GY are input into the digital twin model, and the comprehensive environmental data index GH is obtained through simulation calculation. The formula is as follows:

[0063] GH=δ1×CD+δ2×QE+δ3×SR+δ4×SP+δ5×GY

[0064] Among them, δ1 is the weight coefficient of the water level index CD, and its value is 0.1~0.5; δ2 is the weight coefficient of the water flow velocity index QE, and its value is 0.1~0.5; δ3 is the weight coefficient of the rainfall index SR, and its value is 0.1~0.5; δ4 is the weight coefficient of the geological index SP, and its value is 0.1~0.5; δ5 is the weight coefficient of the facility availability index GY, and its value is 0.1~0.5; and δ1+δ2+δ3+δ4+δ5=1.

[0065] In the preferred scheme of the water conservancy scenic area disaster warning and flood prevention method based on digital twins, the criteria for judging whether to trigger the warning mechanism are:

[0066] The disaster warning threshold set includes a normal threshold and a warning threshold. The comprehensive environmental data indicator GH is compared with the disaster warning threshold set. The standards are as follows:

[0067]

[0068] When the disaster warning level is at the dangerous range level, the alarm instruction is triggered, the alarm information is generated and released.

[0069] On the other hand, the present invention also discloses a water conservancy scenic area disaster warning and flood prevention platform based on digital twin, which is used to implement the above-mentioned smart management method: including:

[0070] The data acquisition module is used to collect water level data, water flow velocity data, rainfall data, geological data and operation status data of facilities in the water conservancy scenic area in real time using sensors;

[0071] The index calculation module is used to calculate the water level change rate A1, the water area volume change A2 and the hydraulic gradient A3 using the water level data of the water conservancy scenic area, and further obtain the water level index CD;

[0072] The hydraulic gradient index Sf is calculated using the water flow velocity data and water level data of the water conservancy scenic area; the water flow velocity index QE is further calculated based on the hydraulic gradient index Sf;

[0073] Calculate the rainfall accumulation P using the rainfall data of the water conservancy scenic area cum ; Using the accumulated rainfall in the water conservancy scenic area P cumand water level change rate A1 to calculate the water storage capacity HG; according to the rainfall accumulation P cum and water storage capacity HG to calculate the rainfall index SR;

[0074] The geological data of the water conservancy scenic area are used to calculate the mountain stability coefficient FS and the rock and soil deformation modulus EP, and further obtain the geological index SP;

[0075] The facility availability index GY is calculated using the operating status data of the facilities in the scenic area of ​​the water conservancy scenic area;

[0076] A modeling module is used to construct a digital twin model based on a three-dimensional modeling software using a water level index CD, a water flow velocity index QE, a rainfall index SR, a geological index SP, and a facility availability index GY, and simulate and calculate a comprehensive environmental data index GH through the digital twin model; the above data indicators for a period of time in the future are input into the digital twin model, and the comprehensive environmental data index GH for a period of time in the future is simulated and calculated;

[0077] The early warning module is used to set a set of disaster early warning thresholds, compare the comprehensive environmental data indicator GH for a period of time in the future with the set of disaster early warning thresholds, determine whether to trigger the early warning mechanism, generate early warning information and release the early warning information.

[0078] (III) Beneficial effects

[0079] The present invention provides a water conservancy scenic area disaster early warning and flood prevention platform and method based on digital twins, which has the following beneficial effects:

[0080] (1) By using sensors to collect water level data, water flow velocity data, rainfall data, geological data, and operating status data of facilities in the water conservancy scenic area in real time, the problem of incomplete data collection and dynamic real-time data update is solved;

[0081] (2) A series of calculations are performed based on water level data, water flow velocity data, rainfall data, geological data, and the operating status data of facilities in the scenic area to obtain water level indicators, water flow velocity indicators, rainfall indicators, geological indicators, and facility availability indicators, respectively. This solves the problem that the analysis method is single and cannot effectively process complex data. Based on these data, disaster prevention measures such as flood control and landslide prevention can be prepared in advance, resources can be allocated reasonably, and the initiative and scientificity of the scenic area in responding to disasters can be improved;

[0082] (3) Based on 3D modeling software, a digital twin model is constructed using water level indicators, water flow velocity indicators, rainfall indicators, geological indicators, and facility availability indicators. This solves the problem of inaccurate model construction and easy loss or error during transmission, providing a basis for advance planning and formulation of response strategies;

[0083] (4) By setting a set of disaster warning thresholds and comparing the comprehensive environmental data indicators for a period of time in the future with the threshold set, the accuracy of system performance evaluation and the safety and reliability of flood warning are solved; issuing warning information in advance can effectively improve the ability of scenic spots to respond to disasters and ensure the safety of personnel and facilities in the scenic spots. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 It is a schematic diagram of the working steps of the water conservancy scenic area disaster early warning and flood prevention method based on digital twin of the present invention. DETAILED DESCRIPTION

[0085] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0086] See also Figure 1 The present invention provides a water conservancy scenic area disaster early warning and flood prevention method based on digital twins, comprising the following steps:

[0087] Step 1: Use sensors to collect real-time water level data, water flow velocity data, rainfall data, geological data, and operating status data of facilities in the water conservancy scenic area;

[0088] When using, combine the content of step 1:

[0089] By using sensors to collect real-time water level data, water flow velocity data, rainfall data, geological data and operating status data of facilities in the water conservancy scenic area, the problems of incomplete data collection and dynamic real-time data updating are solved.

[0090] Step 2: Use the water level data of the water conservancy scenic area to calculate the water level change rate A1, water area volume change A2 and hydraulic gradient A3, and further obtain the water level index CD;

[0091] The hydraulic gradient index Sf is calculated using the water flow velocity data and water level data of the water conservancy scenic area; the water flow velocity index QE is further calculated based on the hydraulic gradient index Sf;

[0092] Calculate the rainfall accumulation P using the rainfall data of the water conservancy scenic area cum ; Using the accumulated rainfall in the water conservancy scenic area P cum and water level change rate A1 to calculate the water storage capacity HG; according to the rainfall accumulation P cum and water storage capacity HG to calculate the rainfall index SR;

[0093] The geological data of the water conservancy scenic area are used to calculate the mountain stability coefficient FS and the rock and soil deformation modulus EP, and further obtain the geological index SP;

[0094] The facility availability index GY is calculated using the operating status data of the facilities in the scenic area of ​​the water conservancy scenic area;

[0095] Step 2 includes the following:

[0096] Step 201: The method for calculating the water level index CD is:

[0097] Water level data include water level value and water area Y;

[0098] The water level change rate A1 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows:

[0099]

[0100] Among them, h(t1) is the water level value at the initial time t1; h(t2) ​​is the water level value at the final time t2;

[0101] It should be noted that the principle of this formula is: by calculating the speed of change of the water level between t1 and t2, we can understand the dynamic change of the water level, which is very important for judging the rise and fall trend of floods. If the water level change rate A1 increases sharply, it may indicate that a flood is approaching or the flood intensity is increasing; different water level values ​​are obtained through the water level meter.

[0102] The water volume change A2 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows:

[0103] A2=Y·[h(t2)-h(t1)]

[0104] It should be noted that the principle of this formula is: the water area Y is obtained through the geographic information system, the water volume change A2 is obtained by multiplying the water area Y and the water level change, and the increase or decrease of water volume in the water area is calculated, which helps to evaluate the impact of changes in water volume on the rise and fall trend of floods.

[0105] The hydraulic gradient A3 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows:

[0106]

[0107] Among them, h k is the water level at the Kth position; h k+1 is the water level at the K+1th position; L is the horizontal distance between the Kth and K+1th positions; K is the sequence number of different water level positions, and its value is [1, m]; m is the number of different water level positions, and its value is a positive integer;

[0108] It should be noted that the principle of this formula is: L is obtained according to the horizontal distance between two coordinate points through geographic information system data. The hydraulic gradient A3 is an important parameter to describe the direction and intensity of water flow. By comparing the horizontal distances between different water levels, the energy loss per unit length of water during the flow process can be reflected.

[0109] The water level index CD is calculated based on the water level change rate A1, water area volume change A2 and hydraulic gradient A3, and the formula is as follows:

[0110] CD=α1×A1+α2×A2+α3×A3

[0111] Among them, α1 is the weight coefficient of the water level change rate A1, which takes a value of 0.2~0.5, and is determined according to the importance of the water level change rate A1 to the water level index CD; α2 is the weight coefficient of the water area volume change A2, which takes a value of 0.3~0.5, and is determined according to the importance of the water area volume change A2 to the water level index CD; α3 is the weight coefficient of the hydraulic gradient A3, which takes a value of 0.2~0.5, and is determined according to the importance of the hydraulic gradient A3 to the water level index CD; and α1+α2+α3=1.

[0112] It should be noted that the principle of this formula is: the water level index CD is a key parameter in disaster warning and flood control management in water conservancy scenic areas. The larger the water level change rate A1, the larger the water level index CD, which means the higher the disaster warning of the water conservancy scenic area; the larger the water volume change A2, the larger the water level index CD, which means the higher the disaster warning of the water conservancy scenic area; the larger the hydraulic gradient A3, the larger the water level index CD, which means the higher the disaster warning of the water conservancy scenic area.

[0113] Step 202: The method for calculating the water flow velocity index QE is:

[0114] The water flow velocity data includes a water flow velocity value V;

[0115] The hydraulic gradient index Sf is calculated based on the water velocity data and water level data according to the following formula:

[0116]

[0117] Where g is the acceleration due to gravity;

[0118] It should be noted that the principle of this formula is: the hydraulic gradient index Sf represents the head loss per unit length, which reflects the energy consumption of water flow under the action of gravity acceleration g. The hydraulic gradient index Sf is calculated by the ratio of the water level difference and the distance plus the ratio of the square of the water velocity value V to the gravity acceleration. The water velocity value V is measured by the sensor, and the square is added in the formula to more accurately calculate the hydraulic gradient index Sf.

[0119] The water velocity index QE is calculated based on the hydraulic gradient index Sf, the water area Y and the water velocity value V. The formula is as follows:

[0120]

[0121] Among them, ∈1 is the weight coefficient of the hydraulic gradient index Sf, which takes a value of 0.4~0.6, and is determined according to the importance of the hydraulic gradient index Sf to the water flow velocity index QE; the water area Y and the water flow velocity value V are multiplied to obtain the water flow Q, ∈2 is the weight coefficient of the water flow Q, which takes a value of 0.4~0.6, and is determined according to the importance of the water flow Q to the water flow velocity index QE; and ∈1+∈2=1.

[0122] It should be noted that the principle of this formula is: the water flow velocity index QE reflects the velocity characteristics of the water flow. The larger the hydraulic gradient index Sf, the greater the tendency of the gravitational potential energy of the water flow to be converted into kinetic energy. Therefore, the larger the water flow velocity index QE, the greater the impact on disaster warning for water conservancy scenic areas; the larger the water flow rate Q, the larger the water flow velocity index QE, and the greater the impact on disaster warning for water conservancy scenic areas.

[0123] Step 203: The method for calculating the rainfall index SR is:

[0124] The rainfall data includes the actual rainfall GF in each time interval a ;

[0125] Calculate the rainfall accumulation P based on rainfall data cum , the formula is as follows:

[0126]

[0127] Among them, GF a is the actual rainfall in the ath time interval; a is the serial number corresponding to different time intervals, and its value is [1, b]; b is the total number of time intervals, and its value is a positive integer;

[0128] It should be noted that the principle of this formula is: by summing the rainfall in the ath time interval, the cumulative rainfall in this period of time P is obtained. cum , which is a critical factor in disaster warning and flood prevention in water conservancy scenic areas. The accumulated rainfall Pcum Very useful for analyzing rainfall over a longer period of time. The actual rainfall GF a Measured by sensors.

[0129] According to the rainfall accumulation P cum The water storage capacity HG is calculated based on the water level change rate A1, and the formula is:

[0130] HG=P cum ×A1

[0131] It should be noted that the principle of this formula is: through the rainfall accumulation P cum Multiplying by the water level change rate A1 gives the water storage capacity HG and the rainfall accumulation P cum The higher it is, the greater the water storage capacity HG and the higher the disaster warning; the higher the water level change rate A1, the greater the water storage capacity HG and the higher the disaster warning.

[0132] According to the rainfall accumulation P cum The rainfall index SR is calculated based on the water storage capacity HG according to the following formula:

[0133]

[0134] It should be noted that the principle of this formula is: through the rainfall accumulation P cum The ratio of the water storage capacity HG to the water storage capacity HG is added to obtain the rainfall index SR; the rainfall index SR is an important factor in evaluating the impact of rainfall on reservoirs or water conservancy scenic areas, and describes the rainfall accumulation P corresponding to the change of unit water storage capacity HG. cum Increase.

[0135] Step 204: The method for calculating the mountain stability coefficient FS is:

[0136] Geological data include the length of the mountain sliding surface S f , Sliding body weight W f , pore water pressure U f and soil cohesion C f ;

[0137] The mountain stability coefficient FS is calculated based on geological data according to the following formula:

[0138]

[0139] Among them, C f is the rock and soil cohesion of the fth layer; S f is the length of the mountain sliding surface in the fth layer; U f is the pore water pressure of the fth layer; W f is the weight of the sliding body in the fth layer; θ is the inclination angle of the sliding surface; θ fis the inclination angle of the sliding surface of the fth layer; is the angle between the sliding surface and the horizontal plane; is the angle between the sliding surface of the fth layer and the horizontal plane; f is the serial number corresponding to different geological layers, and its value is [1, h]; h is the total number of geological layers, and its value is a positive integer;

[0140] It should be noted that the principle of this formula is: the mountain stability coefficient Fs is an important parameter for evaluating the stability of the mountain under different conditions. The numerator represents the total shear strength of each layer of soil in the mountain, reflecting the ability of the mountain to resist sliding. The denominator represents the total shear stress generated by each layer of soil in the mountain under the action of gravity, reflecting the tendency of mountain sliding. The rock and soil cohesion C f Determined through geological surveys and geological profiles; the length of the mountain sliding surface S f Obtained through field sampling and laboratory testing; Sliding body weight W f According to geological data; pore water pressure U f Obtained through groundwater level monitoring wells; these data provide reliable data support for the assessment of mountain stability; θ and Measured using a measuring instrument.

[0141] Step 205: The method for calculating the deformation modulus EP of the rock mass and the geological index SP is as follows:

[0142] The geological data also include geological settlement m;

[0143] According to the geological settlement m and the sliding body weight W f The formula for calculating the deformation modulus EP of rock and soil mass is as follows:

[0144]

[0145] Among them, μ is the geological Poisson's ratio, which ranges from 0 to 0.5;

[0146] It should be noted that the principle of this formula is: the deformation modulus EP is an important parameter in geotechnical mechanics, which reflects the deformation characteristics of the rock mass under the action of force. By considering the geological settlement m and the weight W of the sliding body f To determine the deformation modulus of rock and soil under specific conditions; the geological settlement m is obtained through geological survey, which indicates the vertical settlement of rock and soil under certain geological conditions; the geological Poisson's ratio μ is the ratio of the absolute value of the lateral normal strain to the axial normal strain when the material is subjected to unidirectional tension or compression, reflecting the relationship between the lateral deformation and the longitudinal deformation of the rock and soil when subjected to stress, and its value range is between 0 and 0.5.

[0147] The geological index SP is calculated based on the mountain stability coefficient FS and the deformation modulus EP of the rock and soil mass, and the formula is as follows:

[0148] SP=FS×EP

[0149] It should be noted that the principle of this formula is: the geological indicator SP is obtained by multiplying the mountain stability coefficient FS and the rock and soil deformation modulus EP. The geological indicator SP is of great significance for evaluating mountain stability, predicting geological disasters, and disaster warning and flood control management in water conservancy scenic areas; the larger the mountain stability coefficient FS, the higher the geological indicator SP, indicating a lower disaster warning; the larger the rock and soil deformation modulus EP, the higher the geological indicator SP, indicating a higher disaster warning.

[0150] Step 206: The method for calculating the facility availability index GY is:

[0151] Operation status data includes mean time between failures MTTR, mean time to repair MTTR, total operation time MBER and available time MSGB;

[0152] The facility availability index GY is calculated based on the operating status data of the facilities in the scenic area. The formula is as follows:

[0153]

[0154] It should be noted that the principle of this formula is: The denominator MTBF+MTTR represents the sum of the mean time between failures and the mean time to repair, which represents the total time of a failure cycle. The numerator MSGB is the available time. The two are divided to obtain the availability of the facility per unit time, which is then multiplied by MBER to obtain the facility availability index GY. The facility availability index GY indicates the degree to which the facility can operate normally within a specific time. The mean time between failures MTBF represents the average time interval between two failures of the facility, which is obtained by statistically calculating the failure records of the facility during long-term operation. The mean time to repair MTTR represents the average time required to repair the facility after each failure, which is obtained by recording and statistically calculating the repair time of each failure of the facility. The total operating time MBER represents the cumulative operating time of the facility from the start of operation to the current moment, which is obtained by recording the operating time of the facility. The available time MSGB represents the time that the facility can be used normally during the total operating time, which is obtained by recording the actual available time of the facility.

[0155] When used, combine the contents of step 201 to step 206:

[0156] Through a series of calculations based on water level data, water flow velocity data, rainfall data, geological data and the operating status data of facilities in the scenic area, we obtain water level indicators, water flow velocity indicators, rainfall indicators, geological indicators and facility availability indicators respectively, which solves the problem of single analysis method and inability to effectively process complex data. Based on these data, we can prepare disaster prevention measures such as flood control and landslide prevention in advance, allocate resources reasonably, and improve the initiative and scientific nature of the scenic area's response to disasters.

[0157] Step 3: Based on the three-dimensional modeling software, a digital twin model is constructed using the water level index CD, the water flow velocity index QE, the rainfall index SR, the geological index SP and the facility availability index GY, and the comprehensive environmental data index GH is simulated and calculated through the digital twin model; the above data indicators for a period of time in the future are input into the digital twin model, and the comprehensive environmental data index GH for a period of time in the future is simulated and calculated;

[0158] Step 301: The method for constructing a digital twin model is:

[0159] Select 3D modeling software, create a topographic model of the water conservancy scenic area in the 3D modeling software according to the water level index CD and geological index SP, construct the shape and material properties of the mountain according to the mountain stability coefficient FS and the rock and soil deformation modulus EP, and simulate the appearance and stability of the mountain under different geological conditions; use the water flow velocity index QE and the water level index CD to build a water flow model in the model; create various water conservancy facilities in the scenic area according to the facility availability index GY model; integrate the rainfall index SR data into the model to simulate the precipitation process under different rainfall conditions, and build a complete digital twin model through the above data integration;

[0160] Step 302: The method for calculating the comprehensive environmental data index GH is:

[0161] The water level index CD, water flow velocity index QE, rainfall index SR, geological index SP and facility availability index GY are input into the digital twin model, and the comprehensive environmental data index GH is obtained through simulation calculation. The formula is as follows:

[0162] GH=δ1×CD+δ2×QE+δ3×SR+δ4×SP+δ5×GY

[0163] Among them, δ1 is the weight coefficient of the water level index CD, which takes a value of 0.1~0.5, and is determined according to the influence of the water level index CD on the comprehensive environmental data index GH; δ2 is the weight coefficient of the water flow velocity index QE, which takes a value of 0.1~0.5, and is determined according to the influence of the water flow velocity index QE on the comprehensive environmental data index GH; δ3 is the weight coefficient of the rainfall index SP, which takes a value of 0.1~0.5, and is determined according to the influence of the rainfall index SP on the comprehensive environmental data index GH; δ4 is the weight coefficient of the geological index SP, which takes a value of 0.1~0.5, and is determined according to the influence of the geological index SP on the comprehensive environmental data index GH; δ5 is the weight coefficient of the facility availability index GY, which takes a value of 0.1~0.5, and is determined according to the influence of the facility availability index GY on the comprehensive environmental data index GH; and δ1+δ2+δ3+δ4+δ5=1.

[0164] It should be noted that the comprehensive environmental data index GH is an important indicator that comprehensively reflects the environmental status of the water conservancy scenic area. The larger the water level index CD, the larger the comprehensive environmental data index GH, and the higher the disaster warning of the water conservancy scenic area; the larger the water flow velocity index QE, the larger the comprehensive environmental data index GH, and the higher the disaster warning of the water conservancy scenic area; the larger the rainfall index SR, the larger the comprehensive environmental data index GH, and the higher the disaster warning of the water conservancy scenic area; the larger the geological index SR, the larger the comprehensive environmental data index GH, and the higher the disaster warning of the water conservancy scenic area; the smaller the facility availability index GY, the larger the comprehensive environmental data index GH, and the higher the disaster warning of the water conservancy scenic area.

[0165] When used, combine the contents of step 301 to step 302:

[0166] Based on 3D modeling software, a digital twin model is constructed using water level indicators, water flow velocity indicators, rainfall indicators, geological indicators and facility availability indicators. This solves the problems of inaccurate model construction and easy loss or errors during transmission, and provides a basis for advance planning and formulation of response strategies.

[0167] Step 4: Set a disaster warning threshold set, compare the comprehensive environmental data indicator GH for a period of time in the future with the disaster warning threshold set, determine whether to trigger the warning mechanism, generate warning information and release the warning information;

[0168] Step 401: The criteria for determining whether to trigger the early warning mechanism are:

[0169] The disaster warning threshold set includes a normal threshold and a warning threshold. The comprehensive environmental data indicator GH is compared with the disaster warning threshold set. The standards are as follows:

[0170]

[0171] When the disaster warning level is at the dangerous range level, the alarm instruction is triggered, the alarm information is generated and released.

[0172] It should be noted that the method for determining the normal threshold and the warning threshold is: collect historical disaster data, analyze the case where no disaster occurs or the impact of the disaster is extremely small, calculate the value range of the comprehensive environmental data indicator GH, and use the upper limit of this value range as the reference value of the normal threshold; combine historical disaster data and expert experience, and calculate the corresponding value range of the comprehensive environmental data indicator GH when a disaster occurs but has not yet caused serious consequences. The upper limit of this value range is used as the reference value of the warning threshold.

[0173] When used, combined with the content of step 401:

[0174] By setting a set of disaster warning thresholds and comparing the comprehensive environmental data indicators for a period of time in the future with the threshold set, the accuracy of system performance evaluation and the safety and reliability of early warning and flood prevention are solved; issuing early warning information can effectively improve the ability of scenic spots to respond to disasters and ensure the safety of personnel and facilities in scenic spots.

[0175] On the other hand, the present invention also discloses a water conservancy scenic area disaster warning and flood prevention platform based on digital twins, which is used to implement the above-mentioned smart management method, including:

[0176] The data acquisition module is used to collect water level data, water flow velocity data, rainfall data, geological data and operation status data of facilities in the water conservancy scenic area in real time using sensors;

[0177] The index calculation module is used to calculate the water level change rate A1, the water area volume change A2 and the hydraulic gradient A3 using the water level data of the water conservancy scenic area, and further obtain the water level index CD;

[0178] The hydraulic gradient index Sf is calculated using the water flow velocity data and water level data of the water conservancy scenic area; the water flow velocity index QE is further calculated based on the hydraulic gradient index Sf;

[0179] Calculate the rainfall accumulation P using the rainfall data of the water conservancy scenic area cum ; Using the accumulated rainfall in the water conservancy scenic area P cum and water level change rate A1 to calculate the water storage capacity HG; according to the rainfall accumulation P cum and water storage capacity HG to calculate the rainfall index SR;

[0180] The geological data of the water conservancy scenic area are used to calculate the mountain stability coefficient FS and the rock and soil deformation modulus EP, and further obtain the geological index SP;

[0181] The facility availability index GY is calculated using the operating status data of the facilities in the scenic area of ​​the water conservancy scenic area;

[0182] A modeling module is used to construct a digital twin model based on a three-dimensional modeling software using a water level index CD, a water flow velocity index QE, a rainfall index SR, a geological index SP, and a facility availability index GY, and simulate and calculate a comprehensive environmental data index GH through the digital twin model; the above data indicators for a period of time in the future are input into the digital twin model, and the comprehensive environmental data index GH for a period of time in the future is simulated and calculated;

[0183] The early warning module is used to set a set of disaster early warning thresholds, compare the comprehensive environmental data indicator GH for a period of time in the future with the set of disaster early warning thresholds, determine whether to trigger the early warning mechanism, generate early warning information and release the early warning information.

[0184] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0185] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0186] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A flood prevention method for water conservancy scenic area disaster warning based on digital twins, characterized by: The following steps are involved: Step 1: Use sensors to collect real-time water level data, water flow velocity data, rainfall data, geological data, and operating status data of facilities in the water conservancy scenic area; Step 2: Use the water level data of the water conservancy scenic area to calculate the water level change rate A1, water area volume change A2 and hydraulic gradient A3, and further obtain the water level index CD; The hydraulic gradient index Sf is calculated using the water flow velocity data and water level data of the water conservancy scenic area; the water flow velocity index QE is further calculated based on the hydraulic gradient index Sf; Calculate the rainfall accumulation P using the rainfall data of the water conservancy scenic area cum ; Using the accumulated rainfall in the water conservancy scenic area P cum and water level change rate A1 to calculate the water storage capacity HG; according to the rainfall accumulation P cum and water storage capacity HG to calculate the rainfall index SR; The geological data of the water conservancy scenic area are used to calculate the mountain stability coefficient FS and the rock and soil deformation modulus EP, and further obtain the geological index SP; The facility availability index GY is calculated using the operating status data of the facilities in the water conservancy scenic area; Step 3: Based on the three-dimensional modeling software, a digital twin model is constructed using the water level index CD, the water flow velocity index QE, the rainfall index SR, the geological index SP and the facility availability index GY, and the comprehensive environmental data index GH is simulated and calculated through the digital twin model; the above data indicators for a period of time in the future are input into the digital twin model, and the comprehensive environmental data index GH for a period of time in the future is simulated and calculated; Step 4: Set a disaster warning threshold set, compare the comprehensive environmental data indicator GH for a period of time in the future with the disaster warning threshold set, determine whether to trigger the warning mechanism, generate warning information and release the warning information.

2. The method for early warning and flood prevention of water conservancy scenic area disasters based on digital twins according to claim 1 is characterized by: The method for calculating the water level index CD is: Water level data include water level value and water area Y; The water level change rate A1 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows: Among them, h(t1) is the water level value at the initial time t1; h(t2) ​​is the water level value at the final time t2; The water volume change A2 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows: A2=Y·[h(t2)-h(t1)] The hydraulic gradient A3 is calculated based on the water level data of the water conservancy scenic area, and the formula is as follows: Among them, h k is the water level at the Kth position; h k+1 is the water level at the K+1th position; L is the horizontal distance between the Kth and K+1th positions; K is the sequence number of different water level positions, and its value is [1, m]; m is the number of different water level positions, and its value is a positive integer; The water level index CD is calculated based on the water level change rate A1, water area volume change A2 and hydraulic gradient A3, and the formula is as follows: CD=α1×A1+α2×A2+α3×A3 Among them, α1 is the weight coefficient of the water level change rate A1, and its value is 0.2~0.5; α2 is the weight coefficient of the water area volume change A2, and its value is 0.3~0.5; α3 is the weight coefficient of the hydraulic gradient A3, and its value is 0.2~0.5; and α1+α2+α3=1.

3. The method for early warning and flood prevention of water conservancy scenic area disasters based on digital twins according to claim 2 is characterized in that: The method for calculating the water velocity index QE is: The water flow velocity data includes a water flow velocity value V; The hydraulic gradient index Sf is calculated based on the water velocity data and water level data according to the following formula: Where g is the acceleration due to gravity; The water velocity index QE is calculated based on the hydraulic gradient index Sf, the water area Y and the water velocity value V. The formula is as follows: Among them, ∈1 is the weight coefficient of the hydraulic gradient index Sf, which takes a value of 0.4~0.6; the water area Y and the water velocity value V are multiplied to obtain the water flow Q, ∈2 is the weight coefficient of the water flow Q, which takes a value of 0.4~0.6; and ∈1+∈2=1.

4. The method for early warning and flood prevention of water conservancy scenic area disasters based on digital twins according to claim 3 is characterized by: The method for calculating the rainfall index SR is: The rainfall data includes the actual rainfall GF in each time interval a ; Calculate the rainfall accumulation P based on rainfall data cum , the formula is as follows: Among them, GF a is the actual rainfall in the ath time interval; a is the serial number corresponding to different time intervals, and its value is [1, b]; b is the total number of time intervals, and its value is a positive integer; According to the rainfall accumulation P cum The water storage capacity HG is calculated based on the water level change rate A1, and the formula is: HG=P cum ×A1 According to the rainfall accumulation P cum The rainfall index SR is calculated based on the water storage capacity HG according to the following formula:

5. The method for early warning and flood prevention of water conservancy scenic area disasters based on digital twins according to claim 4 is characterized in that: The method for calculating the mountain stability coefficient FS is: Geological data include the length of the mountain sliding surface S f , Sliding body weight W f , pore water pressure U f and soil cohesion C f ; The mountain stability coefficient FS is calculated based on geological data according to the following formula: Among them, C f is the rock and soil cohesion of the fth layer; S f is the length of the mountain sliding surface in the fth layer; U f is the pore water pressure of the fth layer; W f is the weight of the sliding body in the fth layer; θ is the inclination angle of the sliding surface; θ f is the inclination angle of the sliding surface of the fth layer; is the angle between the sliding surface and the horizontal plane; is the angle between the sliding surface of the fth layer and the horizontal plane; f is the serial number corresponding to different geological layers, and its value is [1, h]; h is the total number of geological layers, and its value is a positive integer.

6. The method for early warning and flood prevention of water conservancy scenic area disasters based on digital twins according to claim 5 is characterized in that: The method for calculating the deformation modulus EP and geological index SP of rock and soil is as follows: The geological data also include geological settlement m; According to the geological settlement m and the sliding body weight W f The formula for calculating the deformation modulus EP of rock and soil mass is as follows: Among them, μ is the geological Poisson's ratio, which ranges from 0 to 0.5; The geological index SP is calculated based on the mountain stability coefficient FS and the deformation modulus EP of the rock and soil mass, and the formula is as follows: SP=FS×EP 7. The method for flood prevention and early warning of water conservancy scenic area disasters based on digital twins according to claim 6 is characterized by: The method for calculating the facility availability index GY is: Operation status data includes mean time between failures (MTBF), mean time to repair (MTTR), total operation time (MBER) and available time (MSGB); The facility availability index GY is calculated based on the operating status data of the facilities in the scenic area. The formula is as follows:

8. The method for early warning and flood prevention of water conservancy scenic area disasters based on digital twins according to claim 7 is characterized in that: The method for calculating the comprehensive environmental data indicator GH is: The water level index CD, water flow velocity index QE, rainfall index SR, geological index SP and facility availability index GY are input into the digital twin model, and the comprehensive environmental data index GH is obtained through simulation calculation. The formula is as follows: GH=δ1×CD+δ2×QE+δ3×SR+δ4×SP+δ5×GY Among them, δ1 is the weight coefficient of the water level index CD, and its value is 0.1~0.5; δ2 is the weight coefficient of the water flow velocity index QE, and its value is 0.1~0.5; δ3 is the weight coefficient of the rainfall index SR, and its value is 0.1~0.5; δ4 is the weight coefficient of the geological index SP, and its value is 0.1~0.5; δ5 is the weight coefficient of the facility availability index GY, and its value is 0.1~0.5; and δ1+δ2+δ3+δ4+δ5=1.

9. The method for early warning and flood prevention of water conservancy scenic area disasters based on digital twins according to claim 8 is characterized by: The criteria for determining whether to trigger the early warning mechanism are: The disaster warning threshold set includes a normal threshold and a warning threshold. The comprehensive environmental data indicator GH is compared with the disaster warning threshold set. The standards are as follows: When the disaster warning level is at the dangerous range level, the alarm instruction is triggered, the alarm information is generated and released.

10. The digital twin-based water conservancy scenic area disaster warning and flood prevention platform is characterized by: include: The data acquisition module is used to collect water level data, water flow velocity data, rainfall data, geological data and operation status data of facilities in the water conservancy scenic area in real time using sensors; The index calculation module is used to calculate the water level change rate A1, the water area volume change A2 and the hydraulic gradient A3 using the water level data of the water conservancy scenic area, and further obtain the water level index CD; The hydraulic gradient index Sf is calculated using the water flow velocity data and water level data of the water conservancy scenic area; the water flow velocity index QE is further calculated based on the hydraulic gradient index Sf; Calculate the rainfall accumulation P using the rainfall data of the water conservancy scenic area cum ; Using the accumulated rainfall in the water conservancy scenic area P cum and water level change rate A1 to calculate the water storage capacity HG; according to the rainfall accumulation P cum and water storage capacity HG to calculate the rainfall index SR; The geological data of the water conservancy scenic area are used to calculate the mountain stability coefficient FS and the rock and soil deformation modulus EP, and further obtain the geological index SP; The facility availability index GY is calculated using the operating status data of the facilities in the water conservancy scenic area; A modeling module is used to construct a digital twin model based on a three-dimensional modeling software using a water level index CD, a water flow velocity index QE, a rainfall index SR, a geological index SP, and a facility availability index GY, and simulate and calculate a comprehensive environmental data index GH through the digital twin model; the above data indicators for a period of time in the future are input into the digital twin model, and the comprehensive environmental data index GH for a period of time in the future is simulated and calculated; The early warning module is used to set a set of disaster early warning thresholds, compare the comprehensive environmental data indicator GH for a period of time in the future with the set of disaster early warning thresholds, determine whether to trigger the early warning mechanism, generate early warning information and release the early warning information.

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