Rapid construction method for intelligent water conservancy digital twinborn model of reservoir

By constructing a real-time digital model of the reservoir, predicting the changes in the reservoir water level and analyzing the overflow flow conditions, the problem of the inability to predict the future status of the reservoir in the existing technology is solved, and effective decision-making data analysis is provided, and data support for reservoir safety management is improved.

CN119203505AInactive Publication Date: 2024-12-27深圳中科超远科技有限公司

Patent Information

Application Number
CN202411227442.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-03
Publication Date
2024-12-27
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

After construction, the existing reservoir model cannot predict the future status of the reservoir, and it is difficult to provide effective decision-making data analysis when the water level reaches safety hazards, affecting the safety management of the reservoir.

Method used

By obtaining reservoir image data and weather data, a real-time digital model is established, the water level changes are predicted, the water overflow flow conditions are analyzed, and the water body impact model on the nearby environment is constructed to provide guidance on the decision-making of opening the gate and flood discharge.

Benefits of technology

It realizes the prediction of future changes in the reservoir and the analysis of safety hazards, provides auxiliary decision-making opinions, and improves data support for reservoir safety management.

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Abstract

The invention relates to the technical field of reservoir model construction, in particular to a rapid construction method for a reservoir intelligent hydraulic digital twin model. The method comprises the following steps: obtaining reservoir image data, storing the reservoir image data in a database, and building a reservoir real-time digital model; acquiring real-time weather data and future weather data of the reservoir region, analyzing and predicting rising and falling changes of the water level in the reservoir according to the real-time weather data and the future weather data, and establishing a water body change model in the reservoir digital model; when the water level of the water body in the reservoir crosses the water level line and gate opening flood discharge is not carried out, analyzing the flowing condition of the water body overflowing out of the reservoir, and establishing a model state of the reservoir water body influenced by the external environment according to the overflowing flowing condition of the water body; according to the model state that the water overflows from the reservoir, the influence area of the water on the vicinity of the reservoir is analyzed and established.
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Description

Technical Field

[0001] The present invention relates to the technical field of reservoir model construction, and in particular to a method for quickly constructing a reservoir smart water conservancy digital twin model. Background Art

[0002] The visualization management platform that most reservoirs currently rely on for water conservancy visualization monitoring usually analyzes and manages the safety status of the reservoir by establishing a reservoir model.

[0003] Currently, when constructing a reservoir model, image information data of the reservoir is collected and used to build the reservoir model. However, after the reservoir model is built, only the current state of the reservoir model is obtained, and the future state of the reservoir cannot be easily understood.

[0004] Then the water level in the reservoir is affected by the environmental rainfall conditions. When the water level in the reservoir rises due to the increase in rainfall, for example, when the water level in the reservoir gradually approaches the water level line during the rise, the overall safety status of the reservoir will change accordingly. However, the current reservoir model construction method is not convenient for predicting and simulating the conditions that will occur in the reservoir in the near future, which affects the safety management of the reservoir.

[0005] Secondly, when the water level reaches the water level line with safety hazards, how to use the constructed reservoir model to provide effective decision-making data analysis when there is excessive water in the reservoir is also a problem that needs to be solved urgently. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for quickly constructing a digital twin model of a smart water conservancy reservoir to solve the problems raised in the above background technology.

[0007] To achieve the above objectives, the present invention provides a method for rapidly constructing a reservoir smart water conservancy digital twin model, comprising the following steps:

[0008] S1. Acquire reservoir image data, establish a database, and store the reservoir image data in the database;

[0009] S2, modeling by acquiring reservoir image information data stored in the database to build a real-time digital model of the reservoir;

[0010] S3. Obtaining real-time weather data and future weather data for the reservoir area, analyzing and predicting fluctuations in the water level in the reservoir based on the real-time weather data and future weather data, and establishing a water body change model within the digital model of the reservoir based on the predicted fluctuations in the water level in the reservoir;

[0011] S4. After establishing the water body change model in the reservoir digital model, analyze whether the water level in the reservoir has crossed the water level line based on the floating change of the water level;

[0012] S5. When the water level in the reservoir does not exceed the water level line, it is determined that the water level in the reservoir is in a safe state;

[0013] S6. When the water level in the reservoir exceeds the water level line and the gates are not opened to release floodwater, analyze the flow conditions of the water overflowing the reservoir, and establish a model state of the reservoir water body affected by the external environment based on the overflow flow conditions of the water body;

[0014] S7. Based on the model state of water overflowing the reservoir, analyze and establish the impact area of ​​the water body on the vicinity of the reservoir.

[0015] In this solution, first, the reservoir image data is collected by monitoring equipment, and the monitoring equipment can be moved and controlled by drones to realize the comprehensive image information data collection of the reservoir. Then, a corresponding database is established at the same time, and the collected reservoir image data is transferred to the database. Then, a real-time digital model of the reservoir can be built by obtaining the reservoir image data stored in the database. At this time, the basic model of the reservoir is initially obtained. In order to build the water body model in the reservoir, the real-time weather data and future weather data of the reservoir area are obtained. The weather environment conditions are used to analyze whether the water body in the reservoir will have a certain increase or decrease. Generally speaking, the increase or decrease of the water body in the reservoir is affected by rain. Therefore, it is possible to predict the current weather in the reservoir area and the rainfall that will occur in the future weather. By predicting the rainfall, the changes in the water level in the reservoir can be analyzed. Then, according to the changes in the water level, the water body model can be added to the reservoir model to directly show the future changes in the water body of the reservoir. Because water level lines are set in the reservoir, the water level lines are used to measure the safety of the water level in the reservoir. Therefore, the future water level in the reservoir is affected by When the impact of rainfall will not exceed the water level line, it means that the water level in the reservoir is safe; when the future water level in the reservoir will gradually exceed the water level line due to the influence of rainfall, it means that the water in the reservoir will have safety hazards. When the water level reaches a higher dangerous area, in order to reduce the safety hazards, the water stored in the reservoir will be discharged by opening the gate to release the flood. However, for the downstream river channel, when the downstream river channel itself has a high water volume, opening the gate will cause the downstream river channel to be in a flood situation. Therefore, in the real-time reservoir model of this plan, the gate is not opened first. , analyze the flow conditions of the reservoir water when it crosses the water level line and overflows the reservoir, and analyze the flow conditions of the water body near the reservoir based on the terrain conditions near the reservoir, and establish a derivative model of the water body in the reservoir overflowing the reservoir, realize the reservoir model prediction simulation, and after determining the flow conditions of the water body near the reservoir, analyze the current situation of opening the gate to discharge the water body into the downstream river, and provide auxiliary guidance on whether to open the gate to discharge water when the water body in the reservoir exceeds the water level line. At the same time, it can also form a preview model of the real-time situation of the entire reservoir, which is convenient for analyzing the safety hazards existing in the reservoir.

[0016] As a further improvement of the present technical solution, when acquiring the reservoir image data, images are taken from multiple perspectives of the reservoir, and the perspectives include at least three perspective images of the front, side and top, and the perspective images of the reservoir taken are stored in a database.

[0017] As a further improvement of this technical solution, after the reservoir model is established, the real-time weather data and future weather data of the reservoir area are obtained, the rainfall in the area is analyzed based on the real-time weather data and future weather data of the reservoir area, and the fluctuation of the water level in the reservoir is predicted based on the rainfall.

[0018] As a further improvement of this technical solution, the water level changes in the reservoir are as follows:

[0019] When it rains in the reservoir area, the water level in the reservoir will tend to rise due to the influence of rain.

[0020] When the reservoir area is experiencing high temperatures, the water level in the reservoir will tend to drop due to the influence of sunlight and evaporation.

[0021] As a further improvement of the present technical solution, when the water level of the water body fluctuates, the water level line in the reservoir is used as a measuring mark. When the water level is below the water level line, the water body will not overflow the reservoir, and the reservoir is in a safe state.

[0022] When the water level in a water body gradually rises and crosses the water level line, a safety hazard is created in the reservoir, and the amount of rainfall in the weather environment determines the extent to which the water overflows the reservoir.

[0023] As a further improvement of this technical solution, when the water body breaks through the water level line and overflows the reservoir, the flow conditions of the water body along the terrain near the reservoir are established based on the terrain conditions near the reservoir. Based on the flow conditions, the impact of the water body on the vicinity of the reservoir after overflowing the reservoir is analyzed to generate a model.

[0024] As a further improvement of this technical solution, when the water body breaks through the water level line and overflows the reservoir, the flow conditions of the water body along the terrain near the reservoir are established based on the terrain conditions near the reservoir. Based on the flow conditions, the impact of the water body on the vicinity of the reservoir after overflowing the reservoir is analyzed to generate a model.

[0025] As a further improvement of this technical solution, when the water body affects the vicinity of the reservoir in a flowing state, the additional disaster conditions formed near the reservoir are determined based on the flow impact of the water body, and the additional disaster conditions formed are synchronously established in the reservoir model.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] This method for rapidly building a digital twin model of a smart water conservancy reservoir uses reservoir image data and fluctuations in the water surrounding it to build an overall model of the reservoir and its water body. This addresses the current problem of reservoir models being unable to display changes in the reservoir water body.

[0028] During the construction of the water body, the changes in the water level in the reservoir are used to establish the safety risks that exist during the use of the reservoir, and the conditions that occur in the reservoir when the water reaches the warning water level line are constructed. A model simulation of the situation of the reservoir during actual application is constructed. By analyzing the specific situation of the reservoir, auxiliary decision-making opinions can be provided for the treatment of excess water in the reservoir when the water reaches the reservoir water level line, and data support can be provided for the safety management of the reservoir. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0031] Example 1

[0032] See also Figure 1 As shown, this embodiment provides a method for quickly building a reservoir smart water conservancy digital twin model, including the following steps:

[0033] S1. Acquire reservoir image data, establish a database, and store the reservoir image data in the database;

[0034] S2, modeling by acquiring reservoir image information data stored in the database to build a real-time digital model of the reservoir;

[0035] S3. Obtaining real-time weather data and future weather data for the reservoir area, analyzing and predicting fluctuations in the water level in the reservoir based on the real-time weather data and future weather data, and establishing a water body change model within the digital model of the reservoir based on the predicted fluctuations in the water level in the reservoir;

[0036] S4. After establishing the water body change model in the reservoir digital model, analyze whether the water level in the reservoir has crossed the water level line based on the floating change of the water level;

[0037] S5. When the water level in the reservoir does not exceed the water level line, it is determined that the water level in the reservoir is in a safe state;

[0038] S6. When the water level in the reservoir exceeds the water level line and the gates are not opened to release floodwater, analyze the flow conditions of the water overflowing the reservoir, and establish a model state of the reservoir water body affected by the external environment based on the overflow flow conditions of the water body;

[0039] S7. According to the model state of water overflowing the reservoir, the impact area of ​​the water body on the vicinity of the reservoir is analyzed and established. In this solution, the reservoir image data is first collected through monitoring equipment, and the monitoring equipment can be moved and controlled by drones to realize the comprehensive image information data collection of the reservoir. Then, a corresponding database is established at the same time, and the collected reservoir image data is transferred to the database. Then, a real-time digital model of the reservoir can be built by obtaining the reservoir image data stored in the database. At this time, the basic model of the reservoir is initially obtained. In order to build the water body model in the reservoir, the real-time weather data and future weather data of the reservoir area are obtained, and the weather environment conditions are analyzed. Will the water level in the reservoir increase or decrease? Generally speaking, the water level in the reservoir is affected by rain. Therefore, it is possible to predict the current weather in the reservoir area and the rainfall that will occur in the future. By predicting the rainfall, the changes in the water level in the reservoir can be analyzed. Then, a water body model can be added to the reservoir model based on the changes in the water level to directly show the future changes in the reservoir water body. Because a water level line is set in the reservoir, the water level line is used to measure the safety of the water level in the reservoir. Therefore, if the future water level in the reservoir will not cross the water level line due to the influence of rainfall, it means that the water level in the reservoir is safe.

[0040] When the water level in the reservoir is affected by rainfall and will gradually exceed the water level line, it means that the water in the reservoir will have safety hazards. When the water level reaches a higher dangerous area, in order to reduce the safety hazard, the water stored in the reservoir will be discharged by opening the floodgates. However, for the downstream river channel, when the downstream river channel itself has a high water volume, opening the floodgates will cause the downstream river channel to be in a flood situation. Therefore, in the real-time reservoir model of this scheme, the reservoir water body exceeds the water level line and overflow is analyzed first without opening the gates. The flow conditions when the water leaves the reservoir are analyzed, and the flow conditions of the water body near the reservoir are analyzed according to the terrain conditions near the reservoir. Based on this, a derivative model of the water body overflowing from the reservoir is established to realize the reservoir model prediction simulation. After determining the flow conditions of the water body near the reservoir, the current situation of opening the gate to discharge the water body into the downstream river is analyzed, and auxiliary guidance is provided for whether to open the gate to discharge water when the water body in the reservoir exceeds the water level line. At the same time, a preview model of the real-time situation of the entire reservoir can also be formed to facilitate the convenient analysis of the safety hazards existing in the reservoir.

[0041] Detailed description of the above technical solution:

[0042] When acquiring reservoir image data, images are taken from multiple perspectives of the reservoir, and the perspectives include at least three perspective images: front, side, and top. The photographed perspective images of the reservoir are stored in a database. First, when the drone-controlled monitoring equipment collects reservoir image data, it is necessary to obtain reservoir image data from three or more perspectives, and the three are front, side, and top perspective images. This is because establishing a reservoir model requires multiple image perspectives. Then, by storing the collected reservoir image data in a database, the reservoir image data in the database can be analyzed and a reservoir model can be established later.

[0043] In order to build a reservoir model that fits the actual situation, after the reservoir model is established, the real-time weather data and future weather data of the reservoir area are obtained. The rainfall in the area is analyzed based on the real-time weather data and future weather data of the reservoir area, and the fluctuation of the water level in the reservoir is predicted based on the rainfall. The factors that cause changes in the reservoir water body are usually caused by rainfall in the external environment. Therefore, by obtaining the weather data of the current environment and the weather data of the future environment, this method analyzes the future rainfall conditions in the reservoir area by obtaining the weather conditions predicted at the meteorological station. Because the rainfall in the environment is equal to the increase or decrease in the water level of the reservoir water body, it is possible to directly analyze the future fluctuation of the water level in the reservoir, which is convenient for establishing a corresponding change model for the water body in the reservoir.

[0044] The water level changes in the reservoir are as follows:

[0045] When it rains in the reservoir area, the water level in the reservoir will tend to rise due to the influence of rain.

[0046] When the reservoir area is in high temperature weather, the reservoir area is affected by light evaporation, and the water level in the reservoir will tend to drop. Therefore, the change of the water level in the reservoir can be predicted according to the weather environment. In this way, a model of the water body in the reservoir can be accurately established, solving the problem that the subsequent change model of the reservoir water body cannot be built when building a reservoir model.

[0047] Furthermore, when the water level fluctuates, the water level line in the reservoir is used as a measurement mark. When the water level is below the water level line, the water will not overflow the reservoir, and the reservoir is in a safe state.

[0048] When the water level in the water body gradually rises and crosses the water level line, the reservoir creates a safety hazard, and the amount of rainfall in the weather environment determines the amount of water overflowing the reservoir. The water level line is a way to measure whether the water level is safe. Specifically, a water level line mark is drawn in the reservoir, and the distance between the water level and the water level line is observed. When the water body in the reservoir continues to grow due to continuous rainfall, the reservoir water body will have the risk of breaking through the safety water level line. Therefore, based on the floating changes of the water body in the reservoir, a model of the water body in the reservoir is established to form a more accurate reservoir model. At the same time, after the reservoir model is established, it can analyze the subsequent fluctuations of the water body in the reservoir, and can form an early warning for the reservoir staff to remind the staff to improve their safety awareness of the reservoir and reduce the occurrence of safety hazards in the reservoir.

[0049] The changing conditions of the water body in the reservoir are analyzed again: when the water body breaks through the water level line and overflows the reservoir, the flow conditions of the water body along the terrain near the reservoir are established according to the terrain conditions near the reservoir. Based on the flow conditions, a model of the impact of the water body on the vicinity of the reservoir is generated after the water body overflows the reservoir. Therefore, by collecting the terrain condition image near the reservoir and building the terrain in the reservoir model, when the water body overflows the reservoir through the water level line, the impact of the water body on the environment near the reservoir is derived according to the flow conditions of the water body on the terrain, and a general model of the impact of the water body on the vicinity of the reservoir is simultaneously established in the reservoir. In this way, Not only is a reservoir model built, but also a model of the impact of water on the reservoir and the environment near the reservoir is built, so that staff can use this reservoir model to predict and display the disaster conditions caused by the water in the reservoir. Therefore, the model of this rehearsal can be compared with the impact of the previous reservoir sluice gate discharge, so that when the reservoir water level reaches the water level line, an auxiliary decision-making opinion can be provided to the staff on whether to open the sluice gate to discharge; at the same time, due to the establishment of the reservoir model, the dangerous conditions caused by water overflowing the reservoir can be analyzed, which is conducive to the subsequent safe evacuation of people near the reservoir.

[0050] When water flows and impacts the vicinity of a reservoir, additional disaster conditions are determined based on the flow of the water, and these additional disaster conditions are simultaneously established in the reservoir model. For the terrain near a reservoir, there are usually houses, trees, or road slopes (hereinafter collectively referred to as buildings). When water impacts a building, it not only causes damage to the building, but also, when the building collapses due to the impact of the water, it will hit other terrain during the collapse process, causing secondary damage to the nearby terrain (secondary damage is the additional disaster condition mentioned above). For example, if a processing building creates a pothole in the terrain or a building collapses across a water channel, it will cause secondary damage to the terrain near the reservoir. Therefore, the flow state of water overflowing the reservoir, the damage caused by the water to the building, and the secondary impact of the building impact on the terrain near the reservoir are all simulated and recorded in the reservoir model. This allows a complete model of the reservoir and its vicinity to be built, intuitively demonstrating the safety hazards brought by the reservoir water and providing auxiliary assistance to staff in reservoir risk management.

[0051] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for quickly constructing a reservoir smart water conservancy digital twin model, characterized in that: The steps include: S1, obtaining reservoir image data, establishing a database, and storing the reservoir image data in the database; S2, modeling by acquiring the reservoir image information data stored in the database and building a real-time digital model of the reservoir; S3, obtaining real-time weather data and future weather data of the reservoir area, analyzing and predicting the fluctuation of the water level in the reservoir based on the real-time weather data and future weather data, and establishing a water body change model in the digital model of the reservoir based on the predicted fluctuation of the water level in the reservoir; S4. After establishing the water body change model in the digital model of the reservoir, analyze whether the water level in the reservoir crosses the water level line according to the floating change of the water level; S5. When the water level in the reservoir does not exceed the water level line, it is determined that the water level in the reservoir is in a safe state; S6. When the water level in the reservoir exceeds the water level line and the gates are not opened to discharge floodwater, the flow condition of the water overflowing the reservoir is analyzed, and a model state of the reservoir water body affected by the external environment is established based on the overflow flow condition of the water body; S7. Analyze and establish the impact area of ​​the water body near the reservoir based on the model state of the water body overflowing the reservoir.

2. The method for rapidly constructing a reservoir smart water conservancy digital twin model according to claim 1 is characterized in that: When acquiring the reservoir image data, images are captured from multiple viewing angles of the reservoir, and the viewing angles include at least three viewing angles of the front, side and top, and the photographed viewing angle images of the reservoir are stored in a database.

3. The method for rapidly constructing a reservoir smart water conservancy digital twin model according to claim 1 is characterized in that: After the reservoir model is established, the real-time weather data and future weather data of the reservoir area are obtained, the rainfall in the area is analyzed based on the real-time weather data and future weather data of the reservoir area, and the fluctuation of the water level in the reservoir is predicted based on the rainfall.

4. The method for rapidly constructing a reservoir smart water conservancy digital twin model according to claim 3 is characterized in that: The water level changes in the reservoir are as follows: When it is rainy in the reservoir area, the water level in the reservoir will tend to rise due to the influence of rain. When the reservoir area is experiencing high temperatures, the water level in the reservoir will tend to drop due to the evaporation caused by sunlight.

5. The method for rapidly constructing a reservoir smart water conservancy digital twin model according to claim 1 is characterized in that: When the water level of the water body fluctuates, the water level line in the reservoir is used as a measurement mark. When the water level of the water body is below the water level line, the water body will not overflow the reservoir, and the reservoir is in a safe state; When the water level in a water body gradually rises and crosses the water level line, a safety hazard occurs in the reservoir, and the amount of rainfall in the weather environment determines the extent to which the water overflows the reservoir.

6. The method for rapidly constructing a reservoir smart water conservancy digital twin model according to claim 5 is characterized in that: When the water body breaks through the water level line and overflows the reservoir, the flow condition of the water body along the terrain near the reservoir is established according to the terrain conditions near the reservoir. After the water body overflows the reservoir, a model of the impact on the vicinity of the reservoir is generated based on the flow condition analysis.

7. The method for rapidly constructing a reservoir smart water conservancy digital twin model according to claim 6 is characterized in that: When the water body affects the vicinity of the reservoir in a flowing state, the additional disaster conditions formed near the reservoir are determined based on the flow impact of the water body, and the additional disaster conditions formed are synchronously established in the reservoir model.

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