Earth-rock dam seepage safety dynamic monitoring and disaster early warning system based on digital twin technology and its construction method

Abstract

The present invention provides a dynamic monitoring system for earth-rock dam seepage safety and disaster early warning system based on digital twin technology and its construction method, including a physical layer, an information layer, a service layer and an application layer; the physical layer and the information layer include a monitoring system for digital twin base plate construction; the service layer includes a prediction system, an early warning system and a plan release system for data fusion processing; the application layer includes a rehearsal system for digital scene construction. The established system can better serve the actual engineering, can monitor the various indicator data of earth-rock dams in real time, make real-time predictions on the seepage safety risks of earth-rock dams, and realize real-time dynamic simulation of the seepage state of earth-rock dams and automatic early warning plans for seepage disasters.

Description

Technical Field

[0001] The present invention belongs to the technical field of earth-rock dam seepage safety monitoring and early warning, and specifically relates to an earth-rock dam seepage safety dynamic monitoring and disaster early warning system based on digital twin technology and a construction method thereof. Background Art

[0002] An earth-rock dam is a water retaining dam made of local soil, stone and mixed materials. At present, earth-rock dams are the most widely used type of dam in the world's dam construction, accounting for more than 80% of the total dam types. Seepage damage is a common safety problem of earth-rock dams. Dynamic real-time monitoring and early warning of seepage in earth-rock dams are important prerequisites for ensuring the safe operation of earth-rock dams.

[0003] At present, risk prediction of earth-rock dams mostly relies on manual analysis of monitoring data, which places high demands on analysts and is usually not timely. Once a seepage risk occurs in an earth-rock dam, it often takes a period of analysis to find the problem. Summary of the invention

[0004] The purpose of the present invention is to solve the defects existing in the prior art and provide a dynamic monitoring system for seepage safety and disaster warning of earth-rock dams based on digital twin technology. The established system can better serve the actual engineering, monitor various indicator data of earth-rock dams in real time, and make real-time predictions on the seepage safety risks of earth-rock dams, so as to realize real-time dynamic simulation of the seepage state of earth-rock dams and automatic early warning plans for seepage disasters.

[0005] In order to realize the above technical features, the purpose of the present invention is achieved as follows: a system for dynamic monitoring of earth-rock dam seepage safety and disaster early warning based on digital twin technology, including a physical layer, an information layer, a service layer and an application layer;

[0006] The physical layer and information layer include a monitoring system for the construction of a digital twin baseplate;

[0007] The service layer includes a prediction system, an early warning system and a plan release system for data fusion processing;

[0008] The application layer includes a preview system for digital scene construction.

[0009] The monitoring system includes three parts: data acquisition system, data communication system and data resource library;

[0010] The data acquisition system includes sensors for collecting real-time data on rainfall, temperature, upstream and downstream water levels and seepage pressure of the earth-rock dam, and also includes monitors for monitoring changes in the physical form of the earth-rock dam; the sensors and monitors are located in the physical layer and are used for data acquisition;

[0011] The data communication system is connected to the data resource library through wired or wireless communication, and transmits the data collected by the data collection system to the data resource library for storage;

[0012] The data resource library is used to store data.

[0013] There is a one-to-one correspondence between the physical space of the physical layer and the virtual space. Each physical entity in the physical space corresponds to a digital twin in the virtual space. When the various elements in the physical space change, the state of the virtual space will also be updated accordingly.

[0014] The prediction system is used to receive the real-time monitoring data of earth-rock dam seepage obtained in the monitoring system, and adopts the monitoring model method, the infiltration line method and the seepage gradient method to establish the reservoir dam seepage safety evaluation index, and establish the earth-rock dam seepage safety risk comprehensive evaluation index based on the combined weighting method, and then process the data in combination with the long short-term memory network algorithm to obtain the nonlinear relationship between each indicator system and the seepage safety risk, which is used to predict the seepage safety risk; at the same time, the digital twin database and the digital twin are updated with the newly generated data to become the new historical data, so as to realize the real-time dynamic evolution of the seepage state of the earth-rock dam.

[0015] The early warning system triggers the early warning system to issue a disaster early warning based on the prediction results. A system of anti-seepage measures under different earth-rock dam seepage risks is established in the plan library of the plan release system. When the disaster early warning is triggered, the plan release system will provide a preliminary anti-seepage plan.

[0016] The preview system combines GIS technology and BIM technology to perform three-dimensional digital simulation of the real-time seepage state of the earth-rock dam, realizing the complete twinning of the virtual entity and the physical entity; GIS is used to obtain the geographic coordinate system of the earth-rock dam in the digital three-dimensional space, and evolve the digital three-dimensional model of the earth-rock dam in the three-dimensional geographic space, and BIM is used for automated management.

[0017] The method for constructing a dynamic monitoring system for earth-rock dam seepage safety and disaster early warning system based on digital twin technology includes the following steps:

[0018] Step 1: Determine the monitoring target and monitoring technology according to the water conservancy industry standard "Technical Specifications for Safety Monitoring of Earth-Rock Dams"; select the dam sections with complex terrain and geological conditions and the parts prone to seepage as the monitoring targets, and cover the entire earth-rock dam; lay out the survey lines according to the dam structure, cross-sectional shape and seepage characteristics, and the elevation of each survey point is determined according to the seepage characteristics of the dam body, the position of the infiltration line and the geometric parameters of the dam body; the monitoring equipment mainly includes pressure measuring tubes and osmometers. The pressure measuring tubes can express the seepage pressure according to the height in the water column, and the osmometers are buried deep inside the hydraulic structure to measure the pore pressure;

[0019] Step 2: The monitoring system includes a data acquisition system, a data communication system and a data resource library. The data acquisition system mainly obtains real-time monitoring data based on the arranged monitoring points, including sensors of various earth-rock dam information collection points such as upstream and downstream water levels, rainfall, and temperature, and monitors for monitoring the morphological changes of earth-rock dams. The data is communicated through wired or wireless networks, and is responsible for data reception and data transmission of sensor and monitor nodes, and finally collects the data to the data resource library of the monitoring station;

[0020] Step 3: Input all the historical data of earth-rock dam obtained in step 2 into the prediction system for analysis, realize the interactive processing between multi-source heterogeneous data, and solve the access and format unification of multivariate data types; the specific process is: the obtained historical data of earth-rock dam for many years adopts the monitoring model method, the infiltration line method and the seepage gradient method to establish the seepage evaluation index of reservoir dam; among them, the monitoring model method is used to monitor the dam body shape and three-dimensional model of earth-rock dam; the infiltration line is the intersection line of the seepage water surface and the cross section of the earth-rock dam. The soil below the infiltration line is in a saturated state and is affected by the seepage force. Determining the position of the infiltration line has an important influence on the seepage stability analysis of earth-rock dam; the seepage gradient is used to judge the seepage deformation. When it is greater than the allowable seepage gradient, the soil will When seepage deformation occurs, according to Darcy's law in hydraulics, the product of the seepage gradient and the permeability coefficient is the seepage velocity; then, the risk assessment index is weighted based on the combined weight method to obtain a comprehensive risk assessment index, and the obtained data is divided into a training set and a test set, and the earth-rock dam seepage safety risk prediction model is obtained based on the long short-term memory network algorithm; the input parameters in the long short-term memory network model algorithm are the long-term monitoring index data of the earth-rock dam, and the output data are the risk indicators for evaluating the instability of the earth-rock dam, including: seepage volume, seepage velocity, infiltration line position and permeability; according to the risk indicators predicted by the algorithm and combined with the weighting method, a comprehensive evaluation index is obtained, and the earth-rock dam risk is evaluated based on this comprehensive evaluation index;

[0021] Step 4: Combined with the prediction results of step 3, different indicator values ​​will correspond to different risk values. According to the corresponding risk values, the system will automatically trigger the early warning system to realize the intelligent identification of abnormal seepage status of earth-rock dams and early warning alarm of disasters, and give preliminary recommendations for anti-seepage of earth-rock dams. At the same time, the digital twin database is updated with the newly generated data to realize the real-time dynamic evolution of the seepage status of earth-rock dams. When different seepage disasters are warned, the system will provide corresponding anti-seepage solutions to facilitate the staff to deal with the problems in a timely and accurate manner.

[0022] Step 5: Based on the real-time data obtained in step 2, the 3D digital twin model of the earth-rock dam is updated in combination with GIS technology and BIM technology, the seepage state of the earth-rock dam is evolved in real time, and a 3D digital model that is completely consistent with the real earth-rock dam is established. Based on the real data obtained by the sensor, the real seepage situation of the earth-rock dam is dynamically evolved through the data connection with the server, and the seepage state of the earth-rock dam can be intuitively observed.

[0023] The present invention has beneficial effects:

[0024] 1. The earth-rock dam seepage safety dynamic monitoring and disaster early warning system based on digital twin technology in the present invention can monitor the earth-rock dam related information in real time in the physical layer and information layer, including real-time monitoring of upstream and downstream water levels, rainfall, temperature, seepage pressure, etc. The physical layer and the information layer are formed into a correspondence, and the physical entity of the earth-rock dam is visualized, and the earth-rock dam seepage safety risk is predicted in combination with historical data. Compared with the traditional earth-rock dam seepage monitoring, it can not only improve the prediction accuracy but also realize visualization.

[0025] 2. The earth-rock dam seepage safety dynamic monitoring and disaster early warning system of the present invention obtains real-time monitoring data of the earth-rock dam based on the monitoring system, establishes a one-to-one correspondence between physical entities and virtual entities, and when the physical entity changes, the virtual entity will also be updated accordingly.

[0026] 3. The present invention adopts the monitoring model method, the infiltration line method and the seepage gradient method to establish the seepage safety evaluation index of the earth-rock dam, combines the combined weighting method to establish the seepage safety risk model of the earth-rock dam, and establishes the seepage safety risk prediction model of the earth-rock dam based on the machine learning algorithm.

[0027] 4. The earth-rock dam seepage safety dynamic monitoring and disaster early warning system based on digital twin technology of the present invention can realize real-time disaster early warning of hazards caused by earth-rock dam seepage and provide preliminary solutions in time.

[0028] 5. The system of the present invention can realize the safety monitoring of earth-rock dam seepage and three-dimensional real-time visual scene simulation, and can be extended to various fields of hydraulic and geotechnical engineering to provide technical support for the safe operation analysis of hydraulic and geotechnical engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] Figure 1 The figure is a flow chart of the system of the present invention.

[0031] Figure 2 (a) and (b) are images taken by drone of the earth-rock dam of the present invention.

[0032] Figure 3It is a schematic diagram of the arrangement of monitoring points for the earth-rock dam of the present invention.

[0033] Figure 4 It is a schematic diagram of earth-rock dam data monitoring of the present invention.

[0034] Figure 5 This is the seepage risk index system of earth-rock dams of the present invention.

[0035] Figure 6 This is a seepage analysis model diagram of an earth-rock dam according to the present invention.

[0036] Figure 7 This is a three-dimensional diagram of the simulation of seepage analysis of earth-rock dams in the present invention.

[0037] Figure 8 This is a plane diagram of seepage analysis of earth-rock dam according to the present invention. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are further described below in conjunction with the accompanying drawings.

[0039] Embodiment 1:

[0040] See also Figure 1 The earth-rock dam seepage safety dynamic monitoring and disaster early warning system based on digital twin technology includes a physical layer, an information layer, a service layer and an application layer; the physical layer and the information layer include a monitoring system for the construction of a digital twin base plate; the service layer includes a prediction system, an early warning system and a plan release system for data fusion processing; the application layer includes a rehearsal system for digital scene construction. By forming a correspondence between the physical layer and the information layer, visualizing the physical entity of the earth-rock dam, and combining historical data to predict the seepage safety risk of the earth-rock dam, compared with traditional earth-rock dam seepage monitoring, it can not only improve the prediction accuracy but also achieve visualization.

[0041] Furthermore, the monitoring system includes three parts: a data acquisition system, a data communication system and a data resource library; the data acquisition system includes sensors for collecting real-time data on rainfall, temperature, upstream and downstream water levels and seepage pressure of the earth-rock dam, and also includes monitors for monitoring changes in the physical form of the earth-rock dam; the sensors and monitors are located in the physical layer and are used for data acquisition, and are connected to the digital twin database respectively. The data communication system is connected to the data resource library through wired or wireless communication, and transmits the data collected by the data acquisition system to the data resource library for storage; the data resource library is used to store data. The monitoring system is used to obtain monitoring data related to the earth-rock dam, specifically including the three-dimensional form and topography of the earth-rock dam.

[0042] Furthermore, there is a one-to-one correspondence between the physical space of the physical layer and the virtual space. Each physical entity in the physical space corresponds to a digital twin in the virtual space. When the various elements in the physical space change, the state of the virtual space will also be updated accordingly.

[0043] Furthermore, the prediction system is used to receive the real-time monitoring data of earth-rock dam seepage obtained in the monitoring system, and adopts the monitoring model method, infiltration line method and seepage gradient method to establish the reservoir dam seepage safety evaluation index, and establish the earth-rock dam seepage safety risk comprehensive evaluation index based on the combined weighting method, and then process the data in combination with the long short-term memory network algorithm to obtain the nonlinear relationship between each indicator system and the seepage safety risk, which is used to predict the seepage safety risk; at the same time, the digital twin database and digital twin are updated with the newly generated data to become new historical data, so as to realize the real-time dynamic evolution of the seepage state of the earth-rock dam.

[0044] Furthermore, the early warning system triggers the early warning system to issue disaster warnings based on the prediction results. The plan library of the plan release system has established a system of anti-seepage measures under different earth-rock dam seepage risks. When the disaster warning is triggered, the plan release system will provide a preliminary anti-seepage plan, and then carry out emergency treatment in a timely manner.

[0045] Furthermore, the rehearsal system combines GIS technology and BIM technology to perform three-dimensional digital simulation of the real-time seepage state of the earth-rock dam, realizing the complete twinning of virtual entities and physical entities; GIS is used to obtain the geographic coordinate system of the earth-rock dam in the digital three-dimensional space, evolve the digital three-dimensional model of the earth-rock dam in the three-dimensional geographic space, and BIM is used for automated management. The rehearsal system can record the seepage data of the earth-rock dam over the years and the state of the earth-rock dam corresponding to each risk release. For example, if there is a seepage damage in one year in history, which causes soil flow, pipe burst or landslide in the earth-rock dam, then the application layer can record the earth-rock dam shape at that time, and the casualties caused by various monitoring data of the earth-rock dam. After each seepage damage, the internal state changes of the earth-rock dam are monitored in time, including displacement, temperature, pore water pressure, seepage, etc. These data will form new historical monitoring data, and the prediction model will be updated in combination with real-time data to continuously optimize the prediction system.

[0046] Embodiment 2:

[0047] The method for constructing a dynamic monitoring system for earth-rock dam seepage safety and disaster early warning system based on digital twin technology includes the following steps:

[0048] Step 1: Determine the monitoring target and monitoring technology according to the water conservancy industry standard "Technical Specifications for Safety Monitoring of Earth-Rock Dams"; select the dam sections with complex terrain and geological conditions and the parts prone to seepage as the monitoring targets, and cover the entire earth-rock dam; lay out the survey lines according to the dam structure, cross-sectional shape and seepage characteristics, and the elevation of each survey point is determined according to the seepage characteristics of the dam body, the position of the infiltration line and the geometric parameters of the dam body; the monitoring equipment mainly includes pressure measuring tubes and osmometers. The pressure measuring tubes can express the seepage pressure according to the height in the water column, and the osmometers are buried deep inside the hydraulic structure to measure the pore pressure;

[0049] In this embodiment, the topographic and geological structure information of the earth-rock dam is obtained by remote sensing or drone technology. Figure 2 (a) and (b) show images of the earth-rock dam taken by a drone in order to build a three-dimensional digital model of the earth-rock dam.

[0050] Step 2: The monitoring system includes a data acquisition system, a data communication system and a data resource library. The data acquisition system mainly obtains real-time monitoring data based on the arranged monitoring points, including sensors of various earth-rock dam information collection points such as upstream and downstream water levels, rainfall, and temperature, and monitors for monitoring the morphological changes of earth-rock dams. The data is communicated through wired or wireless networks, and is responsible for data reception and data transmission of sensor and monitor nodes, and finally collects the data to the data resource library of the monitoring station;

[0051] In this embodiment, seepage monitoring points are arranged according to the monitoring scheme of step 1: earth dam seepage monitoring items mainly include: dam body seepage, dam foundation seepage and dam bypass seepage. Figure 3 As shown in the figure, there are 3 monitoring cross sections arranged in the dam body, and 3 piezometers are arranged in each monitoring cross section, one in the upstream dam body, one in the clay core wall, and one in the downstream dam body. There are 3 monitoring cross sections arranged in the dam foundation, and 3 piezometers are arranged in each monitoring cross section, one in the dam foundation in front of the anti-seepage wall, one in the dam foundation behind the anti-seepage wall, and one in the dam foundation of the downstream dam body. 4 piezometers are arranged near the right bank dam head to monitor the seepage around the dam. Each piezometer is equipped with a NYZ piezoresistive sensor for automatic observation. Environmental variable monitoring points are arranged: water level gauges, temperature gauges and flow meters are connected to the earth dam to record the upstream and downstream water levels, temperature changes and rainfall of the earth-rock dam.

[0052] Step 3: Input all the historical data of earth-rock dam obtained in step 2 into the prediction system for analysis, realize the interactive processing between multi-source heterogeneous data, and solve the access and format unification of multivariate data types; the specific process is: the obtained historical data of earth-rock dam for many years adopts the monitoring model method, the infiltration line method and the seepage gradient method to establish the seepage evaluation index of reservoir dam; among them, the monitoring model method is used to monitor the dam body shape and three-dimensional model of earth-rock dam; the infiltration line is the intersection line of the seepage water surface and the cross section of the earth-rock dam. The soil below the infiltration line is in a saturated state and is affected by the seepage force. Determining the position of the infiltration line has an important influence on the seepage stability analysis of earth-rock dam; the seepage gradient is used to judge the seepage deformation. When it is greater than the allowable seepage gradient, the soil will When seepage deformation occurs, according to Darcy's law in hydraulics, the product of the seepage gradient and the permeability coefficient is the seepage velocity; then, the risk assessment index is weighted based on the combined weight method to obtain a comprehensive risk assessment index, and the obtained data is divided into a training set and a test set, and the earth-rock dam seepage safety risk prediction model is obtained based on the long short-term memory network algorithm; the input parameters in the long short-term memory network model algorithm are the long-term monitoring index data of the earth-rock dam, and the output data are the risk indicators for evaluating the instability of the earth-rock dam, including: seepage volume, seepage velocity, infiltration line position and permeability; according to the risk indicators predicted by the algorithm and combined with the weighting method, a comprehensive evaluation index is obtained, and the earth-rock dam risk is evaluated based on this comprehensive evaluation index;

[0053] In this embodiment, by obtaining real-time monitoring data of earth-rock dam from the central database, Figure 4 The figure shows the monitoring data of water pressure, rainfall, temperature and time-dependent components of the 687-3 section of the earth-rock dam. The monitoring model method, infiltration line method and seepage gradient method are used to establish the reservoir dam seepage monitoring index based on the obtained historical data for many years, and the earth-rock dam seepage safety risk model is established based on the combined weighting method. Figure 5 Schematic diagram of the established seepage safety risk assessment index system. The historical data sets obtained by the sensors are integrated and divided into training sets and test sets. In the prediction system, the seepage slope, infiltration line position, seepage volume and seepage velocity corresponding to the earth-rock dam are obtained according to the upstream and downstream water level data, rainfall data, temperature data and seepage pressure of each measuring point that need to be input. The results of the prediction system are compared with the actual seepage risk. When the results are consistent, it is considered that the prediction model is well trained. When there is a large gap in the results, it is necessary to optimize the parameters of the prediction model and conduct new training, and repeat this process until the prediction results are close to the actual situation.

[0054] Step 4: Combined with the prediction results of step 3, different indicator values ​​will correspond to different risk values. According to the corresponding risk values, the system will automatically trigger the early warning system to realize the intelligent identification of abnormal seepage status of earth-rock dams and early warning alarm of disasters, and give preliminary recommendations for anti-seepage of earth-rock dams. At the same time, the digital twin database is updated with the newly generated data to realize the real-time dynamic evolution of the seepage status of earth-rock dams. When different seepage disasters are warned, the system will provide corresponding anti-seepage solutions to facilitate the staff to deal with the problems in a timely and accurate manner.

[0055] In this embodiment, combined with the prediction results of step 3, the weights of each evaluation index can be obtained according to the combined weighting method. The system risk is divided into 1-5 levels, corresponding to different evaluation index values. When the risk is level 5, it proves that the risk value is already very large at this time. The system will automatically trigger the disaster warning module to realize the intelligent identification and automatic early warning alarm of the abnormal state of seepage of the earth-rock dam, and give a preliminary recommendation of the anti-seepage plan. When the risk is level 1, it proves that only local damage has occurred. At this time, an early warning will be automatically issued to notify the staff of the specific place where the damage has occurred. The staff can conduct timely investigation at the place where the damage has occurred to avoid greater seepage damage. At the same time, the digital twin database is updated with the newly generated data to become new historical data, realizing the real-time dynamic evolution of the seepage state of the earth-rock dam. The types of seepage damage of earth-rock dams usually include soil flow, pipe burst, contact scouring, contact soil flow, etc. When different seepage risks are warned, the system will provide corresponding solutions, which can facilitate the staff to deal with the problem in a timely and accurate manner. Common anti-seepage measures include setting up anti-seepage blankets, grouting curtains, anti-seepage walls, etc.

[0056] Step 5: Based on the real-time data obtained in step 2, the 3D digital twin model of the earth-rock dam is updated in combination with GIS technology and BIM technology, the seepage state of the earth-rock dam is evolved in real time, and a 3D digital model that is completely consistent with the real earth-rock dam is established. Based on the real data obtained by the sensor, the real seepage situation of the earth-rock dam is dynamically evolved through the data connection with the server, and the seepage state of the earth-rock dam can be intuitively observed.

[0057] In this embodiment, based on the above-mentioned technology and monitoring point data, combined with digital twin three-dimensional visualization, database and other technologies, a dynamic monitoring system for earth-rock dam seepage safety and disaster early warning based on digital twin technology is constructed. The system can intuitively display the digital three-dimensional model of the earth-rock dam in the physical space, and evolve the seepage state of the earth-rock dam in real time in combination with the monitoring data. Figure 6-8 The figure shows the established earth-rock dam model and the corresponding pore water pressure calculation results, which can realize the dynamic display of the seepage phenomenon of the earth-rock dam at any section. The overall picture of the earth-rock dam is simulated and visualized, showing the changes in various indicator systems, simulating the seepage destruction process of the earth-rock dam, and reflecting the seepage situation of the earth-rock dam in real time.

[0058] Principle of the present invention:

[0059] Starting from the concept of digital twin technology, the present invention establishes a seepage safety risk prediction model based on monitored sensor data and combines machine learning methods, evolves a three-dimensional visualized seepage scenario of earth-rock dam, and constructs a dynamic monitoring and disaster warning system for seepage safety of earth-rock dam based on digital twin technology.

[0060] Digital twin refers to the integration of multiple physical quantities, multiple scales, and multiple probabilities in virtual space to reflect the entire life cycle of the corresponding entity based on monitoring data, physical entities, historical operating status, and other data. Compared with traditional monitoring technology, digital twin technology can reproduce the real appearance of the earth-rock dam, sensor feedback data, historical data of earth-rock dam operation, external environmental factors, etc. in real time on the digital twin three-dimensional digital model. Its biggest advantage is that it can realize dynamic simulation of physical objects. In addition, by establishing an indicator method system for seepage risk assessment of earth-rock dams, it is possible to realize intelligent identification of abnormal conditions of earth-rock dams and automatic early warning plans for disasters, providing a more convenient and intelligent method for safety monitoring of earth-rock dams.

Claims

1. The earth-rock dam seepage safety dynamic monitoring and disaster early warning system based on digital twin technology is characterized by: Includes physical layer, information layer, service layer and application layer; The physical layer and information layer include a monitoring system for the construction of a digital twin baseplate; The service layer includes a prediction system, an early warning system and a plan release system for data fusion processing; The application layer includes a pre-production system for digital scene construction; The monitoring system includes three parts: data acquisition system, data communication system and data resource library; The data acquisition system includes sensors for collecting real-time data on rainfall, temperature, upstream and downstream water levels and seepage pressure of the earth-rock dam, and also includes monitors for monitoring changes in the physical form of the earth-rock dam; the sensors and monitors are located in the physical layer and are used for data acquisition; The data communication system is connected to the data resource library through wired or wireless communication, and transmits the data collected by the data collection system to the data resource library for storage; The data resource library is used to store data; The prediction system is used to receive the real-time monitoring data of earth-rock dam seepage obtained in the monitoring system, and establish the reservoir dam seepage safety evaluation index by using the monitoring model method, the infiltration line method and the seepage gradient method, and establish the earth-rock dam seepage safety risk comprehensive evaluation index based on the combined weighting method, and then process the data in combination with the long short-term memory network algorithm to obtain the nonlinear relationship between each indicator system and the seepage safety risk, which is used to predict the seepage safety risk; at the same time, the digital twin database and the digital twin are updated with the newly generated data to become new historical data, so as to realize the real-time dynamic evolution of the seepage state of the earth-rock dam; The early warning system triggers the early warning system to issue disaster warnings based on the prediction results. The plan library of the plan release system has established a system of anti-seepage measures under different earth-rock dam seepage risks. When the disaster warning is triggered, the plan release system will provide a preliminary anti-seepage plan; The preview system combines GIS technology and BIM technology to perform three-dimensional digital simulation of the real-time seepage state of the earth-rock dam, realizing the complete twinning of the virtual entity and the physical entity; GIS is used to obtain the geographic coordinate system of the earth-rock dam in the digital three-dimensional space, and evolve the digital three-dimensional model of the earth-rock dam in the three-dimensional geographic space, and BIM is used for automated management.

2. According to the earth-rock dam seepage safety dynamic monitoring and disaster early warning system based on digital twin technology in claim 1, it is characterized by: There is a one-to-one correspondence between the physical space of the physical layer and the virtual space. Each physical entity in the physical space corresponds to a digital twin in the virtual space. When the various elements in the physical space change, the state of the virtual space will also be updated accordingly.

3. The method for constructing a dynamic monitoring system for earth-rock dam seepage safety and disaster early warning system based on digital twin technology as described in any one of claims 1-2 is characterized in that: The following steps are involved: Step 1: Determine the monitoring target and monitoring technology according to the water conservancy industry standard "Technical Specifications for Safety Monitoring of Earth-Rock Dams"; select the dam sections with complex terrain and geological conditions and the parts prone to seepage as the monitoring targets, and cover the entire earth-rock dam; lay out the survey lines according to the dam structure, cross-sectional shape and seepage characteristics, and the elevation of each survey point is determined according to the seepage characteristics of the dam body, the position of the infiltration line and the geometric parameters of the dam body; the monitoring equipment mainly includes pressure measuring tubes and osmometers. The pressure measuring tubes can express the seepage pressure according to the height in the water column, and the osmometers are buried deep inside the hydraulic structure to measure the pore pressure; Step 2: The monitoring system includes a data acquisition system, a data communication system and a data resource library. The data acquisition system mainly obtains real-time monitoring data based on the arranged monitoring points, including sensors of various earth-rock dam information collection points such as upstream and downstream water levels, rainfall, and temperature, and monitors for monitoring the morphological changes of earth-rock dams. The data is communicated through wired or wireless networks, and is responsible for data reception and data transmission of sensor and monitor nodes, and finally collects the data to the data resource library of the monitoring station; Step 3: Input all the historical data of earth-rock dam obtained in step 2 into the prediction system for analysis, realize the interactive processing between multi-source heterogeneous data, and solve the access and format unification of multivariate data types; the specific process is: the obtained historical data of earth-rock dam for many years adopts the monitoring model method, the infiltration line method and the seepage gradient method to establish the seepage evaluation index of reservoir dam; among them, the monitoring model method is used to monitor the dam body shape and three-dimensional model of earth-rock dam; the infiltration line is the intersection line of the seepage water surface and the cross section of the earth-rock dam. The soil below the infiltration line is in a saturated state and is affected by the seepage force. Determining the position of the infiltration line has an important influence on the seepage stability analysis of earth-rock dam; the seepage gradient is used to judge the seepage deformation. When it is greater than the allowable seepage gradient, the soil will When seepage deformation occurs, according to Darcy's law in hydraulics, the product of the seepage gradient and the permeability coefficient is the seepage velocity; then, the risk assessment index is weighted based on the combined weight method to obtain a comprehensive risk assessment index, and the obtained data is divided into a training set and a test set, and the earth-rock dam seepage safety risk prediction model is obtained based on the long short-term memory network algorithm; the input parameters in the long short-term memory network model algorithm are the long-term monitoring index data of the earth-rock dam, and the output data are the risk indicators for evaluating the instability of the earth-rock dam, including: seepage volume, seepage velocity, infiltration line position and permeability; according to the risk indicators predicted by the algorithm and combined with the weighting method, a comprehensive evaluation index is obtained, and the earth-rock dam risk is evaluated based on this comprehensive evaluation index; Step 4: Combined with the prediction results of step 3, different indicator values ​​will correspond to different risk values. According to the corresponding risk values, the system will automatically trigger the early warning system to realize the intelligent identification of abnormal seepage status of earth-rock dams and early warning alarm of disasters, and give preliminary recommendations for anti-seepage of earth-rock dams. At the same time, the digital twin database is updated with the newly generated data to realize the real-time dynamic evolution of the seepage status of earth-rock dams. When different seepage disasters are warned, the system will provide corresponding anti-seepage solutions to facilitate the staff to deal with the problems in a timely and accurate manner. Step 5: Based on the real-time data obtained in step 2, the 3D digital twin model of the earth-rock dam is updated in combination with GIS technology and BIM technology, the seepage state of the earth-rock dam is evolved in real time, and a 3D digital model that is completely consistent with the real earth-rock dam is established. Based on the real data obtained by the sensor, the real seepage situation of the earth-rock dam is dynamically evolved through the data connection with the server, and the seepage state of the earth-rock dam can be intuitively observed.

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