Earth and rockfill dam seepage rehearsal method based on digital twinning

Abstract

The invention discloses an earth and rockfill dam seepage rehearsal method based on digital twinning, and the method comprises the following steps: 1, constructing a digital twinning dam scene, and employing a visual engine as a digital twinning engine; 2, formulating a typical scheduling scene scheme; 3, performing rehearsal simulation on a typical working condition scheduling scheme; step 4, early warning analysis; step 5, decision analysis; compared with the prior art, the method has the advantages that on the basis of the digital twinborn dam scene, under different scenes such as preset historical typical flood, over-standard flood, water and sand transfer and special working conditions, a dispatching scheme is coupled, the seepage condition of the dam is deduced, potential safety hazards are found in advance, and corresponding measures are taken to avoid risks.

Description

Technical Field

[0001] The present invention relates to the technical field of safe operation and management of earth-rock dams, and in particular to a seepage preview method of earth-rock dams based on digital twins. Background Art

[0002] Earth-rock dam is the most widely used type of dam in water conservancy project construction. It is a dam structure mainly composed of local soil, stone and mixed materials. Seepage damage is the most common factor causing earth-rock dam failure. Once a safety problem occurs, it will bring immeasurable losses. Therefore, real-time dynamic monitoring, risk prediction, and comprehensive safety analysis and evaluation of earth-rock dam seepage can realize the advance discovery of potential hidden dangers and avoid risks in advance, thereby ensuring the safe operation of the dam.

[0003] In the process of operating safety management of earth-rock dams, the monitoring data is mainly analyzed and evaluated manually. This not only requires high professional skills of technical personnel, but also leads to the problem of untimely risk handling due to the large amount of monitoring data, huge workload of data analysis and processing. Especially when the dam area is affected by disasters such as heavy rain, floods, earthquakes, etc., it is difficult to make scientific and reasonable consultation decisions in advance, and after the disaster occurs, it takes some time to find the problem.

[0004] At present, the main reasons for safety accidents in earth-rock dams are the lack of necessary observation facilities or incomplete facilities, and the long-term failure to statistically organize and analyze the recorded prototype monitoring data, resulting in failure to timely grasp the working status of the dam body and foundation, and failure to timely deal with hidden dangers, causing the working status of the dam to continue to deteriorate and accidents to occur.

[0005] Therefore, exploring the safe seepage preview method and system of earth-rock dam based on digital twin is of great significance to ensure the safe operation of the dam.

[0006] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0007] The technical problem to be solved by the present invention is to overcome the above technical defects, provide a seepage preview method for earth-rock dam based on digital twin, use finite element to grid the dam and key seepage areas, use BP neural network to invert seepage parameters, and use unstable and stable seepage models to predict and analyze the dam seepage field; based on the digital twin dam scenario, in different scenarios such as preset historical typical floods, super-standard floods, water and sand diversion, special working conditions, etc., couple the scheduling plan, and simulate the seepage condition of the dam, so as to discover safety hazards in advance and take corresponding measures to avoid risks.

[0008] In order to solve the above problems, the technical solution of the present invention is a seepage preview method of earth-rock dam based on digital twin, which includes the following steps:

[0009] Step 1: Build a digital twin dam scene. The digital twin engine uses a visualization engine.

[0010] Step 2: Develop a typical scheduling scenario plan;

[0011] Step 3: Preview and simulate typical working condition scheduling scheme;

[0012] Step 4: Early warning analysis;

[0013] Step 5: Decision analysis.

[0014] Furthermore, in step 1, the visualization engine uses a visualization scene editing tool to integrate the dam BIM data and DOM / DEM GIS data scenes to construct a spatial dam model; the data aggregation and data analysis functions of the data engine are used to integrate the dam basic data, safety monitoring data, dam business management data and other data with the spatial dam model, build a digital twin dam, and realize the digital mapping of the dam engineering entity.

[0015] Furthermore, the scenario plan in step 2 includes predicting and analyzing the changes in the seepage field of the earth-rock dam under typical working conditions based on the boundary conditions in the reservoir scheduling plan under typical working conditions, using a finite element-based three-dimensional numerical prediction model for seepage in the earth-rock dam, and the analysis results are visualized using a simulation engine.

[0016] Furthermore, the scheduling plan in step 3 is based on the boundary conditions in the reservoir scheduling plan under typical working conditions, and uses a finite element-based three-dimensional numerical prediction model for seepage of earth-rock dams to predict and analyze the changes in the seepage field of earth-rock dams under typical working conditions. The analysis results are visualized using a simulation engine.

[0017] Furthermore, the early warning analysis in step 4 includes performing early warning analysis on seepage safety risks based on the preview simulation results and coupling the threshold indicators of key seepage measurement points in the engineering safety knowledge base.

[0018] Furthermore, the decision analysis in step 5 includes timely discovery of potential safety hazards based on measured data of key seepage measurement points, historical data, seepage preview simulation data, and early warning analysis data, providing technical support for dam safety consultations and daily operation decision analysis.

[0019] Furthermore, the organization and construction methods of the spatial dam model include spatial registration, data dimensionality upgrading, terrain data fusion, image data fusion, BIM and terrain fusion, and BIM and oblique photography fusion.

[0020] Further, the spatial reference and data organization adopt the 2000 National Geodetic Coordinate System (CGCS2000), the coordinate unit is expressed in degrees, and the elevation system adopts the 1985 National Elevation Datum.

[0021] The advantages of the present invention compared with the existing technologies are as follows:

[0022] 1. Starting from business scenarios such as seepage monitoring and analysis during the operation of earth-rock dams, the present invention aims to ensure the safe and stable operation of the project and maximize the comprehensive benefits of the project, and improve the ability of precise decision-making management; aiming at the problems of untimely risk handling, insufficient pre-plan decision-making, and low accuracy of danger warning in the traditional earth-rock dam safety process, by constructing a mapping of the physical entity of the dam in the digital world, combining the real-time monitoring data of the upstream and downstream water levels and seepage of the dam and the three-dimensional numerical prediction model of dam seepage based on finite element, it can effectively predict the change of the dam seepage field, timely discover potential safety hazards, and provide technical support for dam safety management.

[0023] 2. The present invention can improve the decision-making efficiency and accuracy. Traditional dam safety consultation and decision-making usually adopt manual analysis and expert experience, which are easily affected by subjective factors and restrictive conditions; this method can more objectively and comprehensively analyze and evaluate the dynamic evolution process of the seepage field of the earth-rock dam under different operating conditions and more intuitively display the seepage risk state by introducing the three-dimensional numerical prediction model of dam seepage based on finite element and combining with the digital twin scenario for simulation. Description of the Drawings

[0024] Figure 1 is the flow chart of the seepage preview of the earth-rock dam safety based on digital twin of the present invention.

[0025] Figure 2 is the system operation page diagram of the present invention. Detailed Embodiments

[0026] In order to make the content of the present invention easier to be clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0027] The present invention, a seepage preview method for earth-rock dams based on digital twin, includes the following steps:

[0028] Step 1: Construct a digital twin dam scenario, and the digital twin engine adopts a visualization engine. The visualization engine uses a visualization scene editing tool to construct a spatial dam model through spatial registration, data dimension elevation, terrain data fusion, image data fusion, BIM and terrain fusion, and BIM and oblique photography fusion for the scenario fusion organization of dam BIM data, DOM / DEM GIS data. Utilize the data aggregation and data analysis functions of the data engine to fuse data such as dam basic data, safety monitoring data, and dam operation management data with the spatial dam model, construct a digital twin dam, and achieve the digital mapping of the dam engineering entity.

[0029] Step 2: Develop a typical scheduling scenario plan. According to the boundary conditions in the reservoir scheduling plan under typical working conditions, use a three-dimensional numerical prediction model for seepage of earth-rock dams based on finite elements to predict and analyze the changes in the seepage field of earth-rock dams under typical working conditions, and visually display the analysis results using a simulation engine.

[0030] Step 3: Rehearse and simulate the typical working condition scheduling plan. According to the boundary conditions in the reservoir scheduling plan under typical working conditions, use a three-dimensional numerical prediction model for seepage of earth-rock dams based on finite elements to predict and analyze the changes in the seepage field of earth-rock dams under typical working conditions, and visually display the analysis results using a simulation engine.

[0031] Step 4: Early warning analysis. According to the results of the rehearsal and simulation, couple the threshold indicators of key seepage measurement points in the engineering safety knowledge base to conduct seepage safety risk early warning analysis.

[0032] Step 5: Decision-making analysis. Based on the measured data, historical data, seepage rehearsal and simulation data, and early warning analysis data of key seepage measurement points, timely discover potential safety hazards and provide technical support for dam safety consultation and daily operation decision-making analysis.

[0033] The spatial reference and data organization adopt the 2000 National Geodetic Coordinate System (CGCS2000), with the coordinate unit expressed in degrees, and the elevation system adopts the 1985 National Elevation Datum.

[0034] Based on the digital twin scenario, use the independently developed simulation engine to integrally display the visual evolution process of engineering safety seepage based on the CAE grid model. By presetting different scenarios such as historical typical floods, floods exceeding the standard, water transfer and sediment regulation, and special working conditions, coupling the scheduling plan, use the simulation engine to rehearse the engineering seepage safety status, etc., and comprehensively consider the knowledge base information such as the early warning index system of seepage measurement points, engineering design-related information, engineering safety evaluation information, and engineering safety weak links to discover potential risks in advance and avoid risks ahead of time. The rehearsal results can send out early warning information, and the early warning information can reach the basic front line directly.

[0035] Coupling with the future water regime changes in the flood control operation plan, a three-dimensional numerical prediction model for dam seepage based on the finite element method is used to conduct a preview of the dam seepage. The preview results are automatically matched with the engineering safety knowledge base such as the monitoring index system to generate risk warnings.

[0036] The above describes the present invention and its implementation manners, and such description is not restrictive. Generally speaking, if those of ordinary skill in the art are inspired by it and without departing from the gist of the present invention, without creative design, they create structural manners and embodiments similar to the technical solution, all of which should fall within the protection scope of the present invention.

Claims

1. A seepage preview method for earth-rock dams based on digital twins, characterized in that, It includes the following steps: Step 1: Construct a digital twin dam scenario, and the digital twin engine uses a visualization engine; Step 2: Formulate a typical scheduling scenario plan; Step 3: Rehearse and simulate the typical working condition scheduling plan; Step 4: Early warning analysis; Step 5: Decision-making analysis.

2. The seepage preview method for earth-rock dams based on digital twins according to claim 1, wherein: In the said Step 1, the visualization engine uses a visualization scene editing tool to organize and construct a spatial dam model by fusing the dam BIM data and DOM / DEM GIS data scenarios; and uses the data aggregation and data analysis functions of the data engine to realize the fusion of data such as dam basic data, safety monitoring data, and dam business management data with the spatial dam model, construct a digital twin dam, and realize the digital mapping of the dam engineering entity.

3. The method for pre-simulating seepage of earth-rock dam based on digital twin according to claim 1 is characterized in that: In the said Step 2, the scenario plan includes predicting and analyzing the change of the seepage field of the earth-rock dam under typical working conditions by using a three-dimensional numerical prediction model of earth-rock dam seepage based on the boundary conditions in the reservoir scheduling plan under typical working conditions, and visually displaying the analysis results by using a simulation engine.

4. The earth-rock dam seepage preview method based on digital twin according to claim 1 is characterized by: In the said Step 3, the scheduling plan is to predict and analyze the change of the seepage field of the earth-rock dam under typical working conditions by using a three-dimensional numerical prediction model of earth-rock dam seepage based on the boundary conditions in the reservoir scheduling plan under typical working conditions, and visually display the analysis results by using a simulation engine.

5. The seepage preview method of the earth-rock dam based on digital twin according to claim 1, characterized in that: The early warning analysis in the said Step 4 includes coupling the threshold indexes of key seepage measuring points in the engineering safety knowledge base according to the rehearsal and simulation results to conduct early warning analysis of seepage safety risks.

6. The earth-rock dam seepage preview method based on digital twin according to claim 1 is characterized by: The decision-making analysis in the said Step 5 includes timely discovering potential safety hazards based on the measured data, historical data, seepage rehearsal and simulation data, and early warning analysis data of key seepage measuring points, and providing technical support for dam safety consultation and daily operation decision-making analysis.

7. The method for pre-simulating seepage of earth-rock dam based on digital twin according to claim 2 is characterized by: The organization and construction method of the said spatial dam model includes spatial registration, data dimension elevation, terrain data fusion, image data fusion, BIM and terrain fusion, and BIM and oblique photography fusion.

8. The method for pre-simulating seepage in earth-rock dam based on digital twin according to claim 2 is characterized in that: The spatial reference and data organization adopt the 2000 National Geodetic Coordinate System (CGCS2000), the coordinate unit is expressed in degrees, and the elevation system adopts the 1985 National Elevation Datum.

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