Water conservancy digital twinning informatization management platform
By designing a digital twin information management platform for water conservancy, using three-dimensional models and simulation analysis technology, the problem of real-time data delays in existing systems during heavy rainfall is solved, and rapid emergency response plan generation and efficient flood situation processing are achieved.
Patent Information
- Application Number
- CN202411452647.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-17
- Publication Date
- 2025-02-07
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing water conservancy flood information management system is difficult to process real-time data in a timely manner during heavy rainfall, resulting in delays in flood handling and affecting emergency treatment efficiency.
A digital twin information management platform for water conservancy has been designed, including data entry, collection, processing, digital twin modules, etc., and by generating a three-dimensional model of flood control dam and water body data set, simulation analysis and risk assessment are carried out to generate emergency plans.
It realizes rapid processing and analysis of data in heavy rainfall situations, generates feasible emergency plans, reduces the risks and costs of emergency treatment, and improves the efficiency of flood emergency treatment.
Smart Images

Figure CN119398331A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of water conservancy management, and in particular to a water conservancy digital twin information management platform. Background Art
[0002] With the continuous development of social productivity, water conservancy projects play an increasingly important role in the national economy. Flood control is an important aspect that directly affects the development of the national economy. The centralized monitoring system of flood control dams truly reflects the modern management and intelligent operation of flood control. It warns of the water level of flood control dams, which buys precious time for decision-making and reducing losses caused by floods, and effectively protects the safety of people's lives and property.
[0003] The existing water conservancy flood information management system usually includes a river hydrological monitoring device installed on the flood control dam, a gate monitoring device, a water conservancy information center management and control platform, and a cloud database; when in use, each monitoring device will feed back the monitored information to the water conservancy information center management and control platform in real time; the water conservancy information center management and control platform stores the data information transmitted by each monitoring device, and monitors the data of all monitoring devices in real time, formulates standard thresholds, and transmits data information to each display terminal. Although this water conservancy flood information management system can monitor the water conservancy information of the flood control dam in real time and issue warning information when the data is abnormal, it still has the following defects in actual use:
[0004] During heavy rainfall, real-time data may change significantly in a short period of time. Simply collecting real-time data is incomplete, and untimely processing will cause delays in flood control, thus affecting the efficiency of flood emergency response.
[0005] Therefore, this application proposes a water conservancy digital twin information management platform. Summary of the invention
[0006] In view of the shortcomings of the prior art, the present invention provides a water conservancy digital twin information management platform, which solves the problems mentioned in the background technology.
[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:
[0008] A water conservancy digital twin information management platform, including a data entry module, a data acquisition module, a data processing module, a digital twin module, a data transmission module, a data analysis module, a determination module, a risk assessment module, an emergency plan generation module, a master control module, a database module, an information feedback module, a display module and an early warning module;
[0009] The data entry module is used to input the specifications and structural data of the flood control dam, and transmit it to the data processing module through the data transmission module, and then transmit it to the digital twin module after being processed by the data processing module;
[0010] The data acquisition module includes a plurality of water level detection points arranged inside the flood control dam, determines the collection area through the plurality of water level detection points and collects water level related parameters in sequence, establishes a water body data set, and transmits it to the data processing module through the data transmission module, and then transmits it to the digital twin module after being processed by the data processing module;
[0011] A mapping relationship is preset in the digital twin module. The digital twin module receives data processed by the data processing module and generates a three-dimensional model of the flood control dam through the mapping relationship. The digital twin module is also used to upload the water body data set to the three-dimensional model of the flood control dam and transmit it to the database module for storage;
[0012] The database module is preset with a flood control dam load threshold;
[0013] The data analysis module is used to perform simulation analysis on the model generated by the data twin module and the uploaded water body data set, and obtain a first load prediction value, and determine whether the first load prediction value exceeds a preset threshold through a determination module;
[0014] The data acquisition module is also used to collect rainfall-related data, establish a rainfall data set, and transmit it to the data processing module for processing to generate a rainfall coefficient Jy;
[0015] The data analysis module is also used to analyze the rainfall coefficient Jy and the water body data set; in combination with the three-dimensional model of the flood control dam, a prediction model for the flood control dam under the influence of rainfall weather is constructed to obtain a second load prediction value, and to determine whether the second load prediction value exceeds a preset threshold value through a determination module;
[0016] The risk analysis and assessment module is used to perform risk analysis on the determination results of the determination module and generate the safety risk level of the flood control dam;
[0017] The emergency plan generation module is used to obtain the safety risk level of the flood control dam, build an emergency plan library, and verify whether the emergency plan is feasible based on the digital twin model of the flood control dam. If feasible, it is fed back to the display module through the information feedback module. Otherwise, the early warning module is controlled to work through the general control module.
[0018] Further: The specific acquisition process of the rainfall coefficient Jy is:
[0019] Obtain the rainfall data set, and after dimensionless processing of the rainfall Lx and rainfall duration Tc, the rainfall coefficient Jy can be obtained through the formula: Jy = (Lx*Ax+Tc*Ac) / (Ax+Ac)+C, where the parameters mean: rainfall factor Ax, 0.55≤Ax≤0.81, rainfall duration factor Ac, 0.69≤Ac≤0.93, and C is the constant correction coefficient.
[0020] Furthermore: the specific generation process of the safety risk level is: obtain the first load prediction value and the second load prediction value and determine whether they exceed the load threshold of the flood control dam, and determine the corresponding risk level for the working area based on the relationship with the corresponding preset threshold, wherein the risk level of the working area is from high to low as the first load risk, the second load risk and the third load risk. When the first or second predicted load value is greater than the load threshold of the flood control dam, it means that the dam is difficult to bear the load.
[0021] Further: The specific generation process of the emergency plan generation module is as follows: Based on the digital twin model of the flood control dam, according to different risk levels, the corresponding emergency plan is selected from the emergency plan library and the emergency plan is simulated and analyzed in the digital twin model of the flood control dam to calculate the characteristic value of the dam bearing capacity.
[0022] Further: The specific processing process of the emergency plan generation module is as follows:
[0023] Obtain the characteristic value of the embankment bearing capacity and determine whether it meets expectations;
[0024] Determine that the characteristic value of the embankment bearing capacity meets expectations;
[0025] If it is determined that the characteristic value of the dam bearing capacity meets expectations, the best solution is fed back to the display module through the data feedback module;
[0026] Otherwise, select the emergency plan from the emergency plan library again and simulate the working condition of the flood control dam again until the characteristic value of the dam bearing capacity reaches the expected value. If it fails to reach the expected value for three consecutive times, the control module controls the early warning module to issue an early warning to the outside.
[0027] Furthermore: the data acquisition module is also used to detect the water flow of the flood control dam inlet channel and obtain the total water inflow, and the data analysis module is also used to analyze the total water inflow and the water body data set; combined with the three-dimensional model of the flood control dam, a prediction model for the flood control dam under the influence of water inflow is constructed to obtain a third load prediction value, and the judgment module is used to determine whether the third load prediction value exceeds a preset threshold.
[0028] Further: The specific method of obtaining the total amount of water inflow is: using the formula: the total amount of water inflow is equal to the water inflow flow multiplied by the water inflow time, the total amount of water inflow can be obtained.
[0029] Further: the data analysis module analyzes the total amount of water inflow and the water body data set to obtain the specific processing process of the third load prediction value:
[0030] The real-time water volume in the flood control dam is calculated by the sum of the total water inflow and the water volume in the flood control dam to obtain the third load prediction value.
[0031] Furthermore: it also includes a cloud transmission module and a mobile terminal, the mobile terminal is connected to the master control module through the cloud transmission module, the mobile terminal is the staff's personal mobile phone, when the information is fed back to the display module through the information feedback module and the early warning module is controlled by the master control module, it is synchronously transmitted to the mobile terminal through the cloud transmission module.
[0032] Furthermore: it also includes an information sending module, the information sending module is communicatively connected to the general control module, and the information sending module is communicatively connected to the cloud transmission module. The data acquisition module is also used to monitor the water surface in the flood control dam in real time. If floating objects are detected on the water surface, they are synchronously transmitted to the mobile terminal through the cloud transmission module.
[0033] The present invention provides a water conservancy digital twin information management platform. Compared with the prior art, it has the following beneficial effects:
[0034] Through emergency simulation and in conjunction with the digital twin model of the flood control dam, the bearing capacity characteristic value of the dam after emergency treatment is calculated and compared with the corresponding threshold to determine whether the emergency plan is feasible. If feasible, the best plan is output. This can save manpower and material resources and reduce emergency risks, thereby obtaining the best emergency plan and reducing the risk and cost of emergency treatment of flood control dams. If the plan is not feasible, the general control module controls the early warning module to warn the staff, which is conducive to emergency treatment of floods. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0036] Figure 1 Shown is a system block diagram of the present invention. DETAILED DESCRIPTION
[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are 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.
[0038] Embodiment 1
[0039] In order to solve the technical problems in the background technology, a water conservancy digital twin information management platform is provided as follows:
[0040] Combination Figure 1 As shown, a water conservancy digital twin information management platform provided by the present invention includes a data entry module, a data acquisition module, a data processing module, a digital twin module, a data transmission module, a data analysis module, a determination module, a risk assessment module, an emergency plan generation module, a master control module, a database module, an information feedback module, a display module and an early warning module;
[0041] The data entry module is used to input the specifications and structural data of the flood control dam, and transmit it to the data processing module through the data transmission module, and then transmit it to the digital twin module after being processed by the data processing module;
[0042] The data acquisition module includes a plurality of water level detection points arranged inside the flood control dam, determines the collection area through the plurality of water level detection points and collects water level related parameters in sequence, establishes a water body data set, and transmits it to the data processing module through the data transmission module, and then transmits it to the digital twin module after being processed by the data processing module;
[0043] A mapping relationship is preset in the digital twin module. The digital twin module receives data processed by the data processing module and generates a three-dimensional model of the flood control dam through the mapping relationship. The digital twin module is also used to upload the water body data set to the three-dimensional model of the flood control dam and transmit it to the database module for storage;
[0044] The database module is preset with a flood control dam load threshold;
[0045] The data analysis module is used to perform simulation analysis on the model generated by the data twin module and the uploaded water body data set, and obtain a first load prediction value, and determine whether the first load prediction value exceeds a preset threshold through a determination module;
[0046] The data acquisition module is also used to collect rainfall-related data, establish a rainfall data set, and transmit it to the data processing module for processing to generate a rainfall coefficient Jy;
[0047] The data analysis module is also used to analyze the rainfall coefficient Jy and the water body data set; in combination with the three-dimensional model of the flood control dam, a prediction model for the flood control dam under the influence of rainfall weather is constructed to obtain a second load prediction value, and to determine whether the second load prediction value exceeds a preset threshold value through a determination module;
[0048] The risk analysis and assessment module is used to perform risk analysis on the determination results of the determination module and generate the safety risk level of the flood control dam;
[0049] The emergency plan generation module is used to obtain the safety risk level of the flood control dam, build an emergency plan library, and verify whether the emergency plan is feasible based on the digital twin model of the flood control dam. If feasible, it is fed back to the display module through the information feedback module. Otherwise, the early warning module is controlled to work through the general control module.
[0050] When in use, the data acquisition module conducts real-time detection of the water level in the flood control dam, generates a three-dimensional model of the flood control dam and the water body in the flood control dam by setting the digital twin module for simulation analysis, and determines whether the first load prediction value exceeds the preset threshold through the judgment module, so as to realize the real-time monitoring of the water conservancy information effect of the flood control dam. When it rains, the data acquisition module synchronously collects rainfall-related data to generate a rainfall coefficient Jy, and analyzes the rainfall coefficient Jy and the water body data set through the data analysis module to obtain the second load prediction value and determine whether it exceeds the preset threshold. The risk analysis and assessment module generates the safety risk level of the flood control dam after performing a risk analysis on the judgment result. The emergency plan generation module constructs an emergency plan library and generates an emergency plan library based on the emergency plan library. The digital twin model of the flood control dam verifies the emergency plan. When the emergency plan is verified to be feasible, it is fed back to the display module through the information feedback module. Otherwise, the early warning module is controlled by the master control module. Therefore, through simulated emergency, on the basis of the digital twin model of the flood control dam, the bearing capacity characteristic value of the dam after emergency treatment is calculated, and it is compared with the corresponding threshold to determine whether the emergency plan is feasible. If feasible, the best plan is output. On the basis of saving manpower and material resources and reducing emergency risks, the best emergency plan can be obtained, reducing the risk and cost of emergency treatment of flood control dams. If the plan is not feasible, the early warning module is controlled by the master control module to warn the staff, which is conducive to emergency treatment of floods.
[0051] In this embodiment, the specific process of obtaining the rainfall coefficient Jy is:
[0052] Obtain a rainfall data set, perform dimensionless processing on the rainfall Lx and the rainfall duration Tc, and then obtain the rainfall coefficient Jy through the formula: Jy = (Lx*Ax+Tc*Ac) / (Ax+Ac)+C, where the parameters mean: rainfall factor Ax, 0.55≤Ax≤0.81, rainfall duration factor Ac, 0.69≤Ac≤0.93, C is a constant correction coefficient, where, in this embodiment, a plurality of groups of sample data are collected by technicians in this field and a corresponding preset proportional coefficient is set for each group of sample data; the preset proportional coefficient and the collected sample data are substituted into the formula, any two formulas constitute a set of two-variable linear equations, the calculated coefficients are screened and averaged to obtain the values of Ac and Ax; it is worth noting that the size of the coefficient is to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the corresponding preset proportional coefficient preliminarily set by the technicians in this field for each group of sample data; as long as the proportional relationship between the parameter and the quantized value is not affected.
[0053] In this embodiment, the specific generation process of the safety risk level is: obtain the first load prediction value and the second load prediction value and determine whether they exceed the load threshold of the flood control dam, and determine the corresponding risk level for the working area based on the relationship with the corresponding preset threshold, wherein the risk level of the working area is from high to low as the first load risk, the second load risk and the third load risk. When the first or second predicted load value is greater than the load threshold of the flood control dam, it means that the dam is difficult to bear, thereby achieving the purpose of obtaining the first load prediction value and the second load prediction value and comparing them with the load threshold of the flood control dam to generate the corresponding risk level.
[0054] Embodiment 2
[0055] like Figure 1 As shown, based on the above embodiment, this embodiment further provides the following contents:
[0056] In this embodiment, the specific generation process of the emergency plan generation module is as follows: based on the digital twin model of the flood control dam, according to different risk levels, the corresponding emergency plan is selected from the emergency plan library and the emergency plan is simulated and analyzed in the digital twin model of the flood control dam to calculate the characteristic value of the dam bearing capacity.
[0057] In this embodiment, the specific processing process of the emergency plan generation module is as follows:
[0058] Obtain the characteristic value of the embankment bearing capacity and determine whether it meets expectations;
[0059] Determine that the characteristic value of the embankment bearing capacity meets expectations;
[0060] If it is determined that the characteristic value of the dam bearing capacity meets expectations, the best solution is fed back to the display module through the data feedback module;
[0061] Otherwise, select the emergency plan from the emergency plan library again and simulate the working condition of the flood control dam again until the characteristic value of the dam bearing capacity reaches the expected value. If it fails to reach the expected value for three consecutive times, the control module controls the early warning module to issue an early warning to the outside.
[0062] In this embodiment, the data acquisition module is also used to detect the water flow of the flood control dam inlet channel and obtain the total amount of water inflow. The data analysis module is also used to analyze the total amount of water inflow and the water body data set; combined with the three-dimensional model of the flood control dam, a prediction model of the flood control dam under the influence of water inflow is constructed to obtain a third load prediction value, and the judgment module is used to determine whether the third load prediction value exceeds a preset threshold value, so as to realize real-time monitoring of the water inflow to the flood control dam. When there is heavy rainfall upstream of the flood control dam, the river bank located at the flood control dam needs to open the gate to discharge floodwater, resulting in a large amount of flooding. When the water flows to the flood control dam, the total water inflow is obtained through the data acquisition module. The data analysis module analyzes the total water inflow and the water body data set and generates a third load prediction value. The judgment module determines whether the third load prediction value exceeds the preset threshold. The risk analysis and assessment module generates the safety risk level of the flood control dam after performing a risk analysis on the judgment result. The emergency plan generation module builds an emergency plan library and verifies the emergency plan based on the digital twin model of the flood control dam. When the emergency plan is verified to be feasible, it is fed back to the display module through the information feedback module. Otherwise, the early warning module is controlled to work through the general control module.
[0063] Embodiment 3
[0064] like Figure 1 As shown, based on the above embodiment, this embodiment further provides the following contents:
[0065] In this embodiment, the specific method of obtaining the total amount of water intake is: using the formula: the total amount of water intake is equal to the water intake flow rate multiplied by the water intake time, the total amount of water intake can be obtained.
[0066] In this embodiment, the data analysis module analyzes the total amount of water inflow and the water body data set to obtain the third load prediction value in the following specific processing:
[0067] The real-time water volume in the flood control dam is calculated by the sum of the total water inflow and the water volume in the flood control dam to obtain the third load prediction value.
[0068] In this embodiment, it also includes a cloud transmission module and a mobile terminal. The mobile terminal is connected to the master control module through the cloud transmission module. The mobile terminal is a personal mobile phone of the staff. When the information is fed back to the display module through the information feedback module and the early warning module is controlled to work through the master control module, it is synchronously transmitted to the mobile terminal through the cloud transmission module. By setting the cloud transmission module and the mobile terminal, when the information is fed back to the display module through the information feedback module and the early warning module is controlled to work through the master control module, it is synchronously transmitted to the mobile terminal through the cloud transmission module, so that the staff at various work positions during the flood prevention period can quickly receive flood emergency plans and warning information, which is beneficial to emergency handling of flood situations.
[0069] In this embodiment, it also includes an information sending module, which is communicatively connected to the general control module, and the information sending module is communicatively connected to the cloud transmission module. The data acquisition module is also used to monitor the water surface in the flood control dam in real time. If floating objects are detected on the water surface, they are synchronously transmitted to the mobile terminal through the cloud transmission module. By setting the information sending module, when the data acquisition module detects the presence of floating objects on the water surface, they are synchronously transmitted to the mobile terminal through the cloud transmission module, so that the staff can receive the information of the presence of floating objects on the water surface of the flood control dam, thereby facilitating the staff to salvage the floating objects.
[0070] The working principle and use process of the present invention:
[0071] When in use, the data acquisition module detects the water level in the flood control dam in real time, generates a three-dimensional model of the flood control dam and the water body in the flood control dam by setting the digital twin module for simulation analysis, and determines whether the first load prediction value exceeds the preset threshold value through the judgment module, so as to realize the water conservancy information effect of real-time monitoring of the flood control dam. When it rains, the data acquisition module synchronously collects rainfall-related data for rainfall data sets, and obtains the rainfall coefficient Jy through the formula Jy=(Lx*Ax+Tc*Ac) / (Ax+Ac)+C. The rainfall coefficient Jy and the water body data set are analyzed by the data analysis module to obtain the second load prediction value and determine whether it exceeds the preset threshold value. The risk analysis and assessment module performs risk analysis on the judgment result and generates the safety risk level of the flood control dam from high to low, namely the first load risk degree, the second load risk degree and the third load risk degree. The emergency plan generation module constructs an emergency plan library and determines the emergency plan based on the emergency plan library. The digital twin model of the flood control dam verifies the emergency plan and determines that the characteristic value of the dam bearing capacity reaches the expectation. When the emergency plan is verified to be feasible, it is fed back to the display module through the information feedback module. Otherwise, the emergency plan is re-selected in the emergency plan library and the working condition of the flood control dam is simulated again until the characteristic value of the dam bearing capacity reaches the expectation. If it fails to reach the expectation for three consecutive times, the early warning module is controlled by the master control module. Therefore, the emergency can be simulated. On the basis of the digital twin model of the flood control dam, the characteristic value of the dam bearing capacity after emergency treatment is calculated, and it is compared with the corresponding threshold to determine whether the emergency plan is feasible. If it is feasible, the best plan is output. On the basis of saving manpower and material resources and reducing emergency risks, the best emergency plan can be obtained, and the risk and cost of emergency treatment of flood control dams can be reduced. If the plan is not feasible, the early warning module is controlled by the master control module to warn the staff, which is conducive to emergency treatment of floods:
[0072] The data acquisition module is also used to detect the water flow of the flood control dam inlet channel, so as to realize real-time monitoring of the water inflow to the flood control dam. When there is heavy rainfall upstream of the flood control dam, the river bank located at the flood control dam needs to open the gate to discharge flood water, causing a large amount of water to flow to the flood control dam. The total amount of water inflow is obtained through the data acquisition module. The data analysis module analyzes the total amount of water inflow and the water body data set, and generates a third load prediction value. The judgment module judges whether the third load prediction value exceeds the preset threshold. The risk analysis and assessment module generates the safety risk level of the flood control dam after performing risk analysis on the judgment result. The emergency plan generation module constructs an emergency plan library and verifies the emergency plan based on the digital twin model of the flood control dam. When the emergency plan is verified to be feasible, it is fed back to the display module through the information feedback module, otherwise, the early warning module is controlled to work through the master control module; by setting up a cloud transmission module and a mobile terminal, when the information is fed back to the display module through the information feedback module and the early warning module is controlled to work through the master control module, it is synchronously transmitted to the mobile terminal through the cloud transmission module, so that the staff at various work positions during the flood prevention period can quickly receive the flood prevention emergency plan and warning information, which is conducive to emergency handling of the flood situation; by setting up an information sending module, when the data acquisition module detects the presence of floating objects on the water surface, it is synchronously transmitted to the mobile terminal through the cloud transmission module, so that the staff can receive the information on the presence of floating objects on the water surface of the flood control dam, so as to facilitate the staff to salvage the floating objects.
[0073] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0074] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A water conservancy digital twin information management platform, characterized by: It includes data entry module, data acquisition module, data processing module, digital twin module, data transmission module, data analysis module, judgment module, risk assessment module, emergency plan generation module, general control module, database module, information feedback module, display module and early warning module; The data entry module is used to input the specifications and structural data of the flood control dam, and transmit it to the data processing module through the data transmission module, and then transmit it to the digital twin module after being processed by the data processing module; The data acquisition module includes a plurality of water level detection points arranged inside the flood control dam, determines the collection area through the plurality of water level detection points and collects water level related parameters in sequence, establishes a water body data set, and transmits it to the data processing module through the data transmission module, and then transmits it to the digital twin module after being processed by the data processing module; A mapping relationship is preset in the digital twin module. The digital twin module receives data processed by the data processing module and generates a three-dimensional model of the flood control dam through the mapping relationship. The digital twin module is also used to upload the water body data set to the three-dimensional model of the flood control dam and transmit it to the database module for storage; The database module is preset with a flood control dam load threshold; The data analysis module is used to perform simulation analysis on the model generated by the data twin module and the uploaded water body data set, and obtain a first load prediction value, and determine whether the first load prediction value exceeds a preset threshold through a determination module; The data acquisition module is also used to collect rainfall-related data, establish a rainfall data set, and transmit it to the data processing module for processing to generate a rainfall coefficient Jy; The data analysis module is also used to analyze the rainfall coefficient Jy and the water body data set; in combination with the three-dimensional model of the flood control dam, a prediction model for the flood control dam under the influence of rainfall weather is constructed to obtain a second load prediction value, and to determine whether the second load prediction value exceeds a preset threshold value through a determination module; The risk analysis and assessment module is used to perform risk analysis on the determination results of the determination module and generate the safety risk level of the flood control dam; The emergency plan generation module is used to obtain the safety risk level of the flood control dam, build an emergency plan library, and verify whether the emergency plan is feasible based on the digital twin model of the flood control dam. If feasible, it is fed back to the display module through the information feedback module. Otherwise, the early warning module is controlled to work through the general control module.
2. A water conservancy digital twin information management platform according to claim 1, characterized in that: The specific acquisition process of the rainfall coefficient Jy is: Obtain the rainfall data set, and after dimensionless processing of the rainfall Lx and rainfall duration Tc, the rainfall coefficient Jy can be obtained through the formula: Jy = (Lx*Ax+Tc*Ac) / (Ax+Ac)+C, where the parameters mean: rainfall factor Ax, 0.55≤Ax≤0.81, rainfall duration factor Ac, 0.69≤Ac≤0.93, and C is the constant correction coefficient.
3. A water conservancy digital twin information management platform according to claim 2, characterized in that: The specific generation process of the safety risk level is: obtain the first load prediction value and the second load prediction value and determine whether they exceed the load threshold of the flood control dam, and determine the corresponding risk level for the working area based on the relationship with the corresponding preset threshold, wherein the risk level of the working area is from high to low as the first load risk, the second load risk and the third load risk. When the first or second predicted load value is greater than the load threshold of the flood control dam, it means that the dam is difficult to bear.
4. A water conservancy digital twin information management platform according to claim 3, characterized in that: The specific generation process of the emergency plan generation module is as follows: based on the digital twin model of the flood control dam, according to different risk levels, the corresponding emergency plan is selected from the emergency plan library and the emergency plan is simulated and analyzed in the digital twin model of the flood control dam to calculate the characteristic value of the dam bearing capacity.
5. A water conservancy digital twin information management platform according to claim 4, characterized in that: The specific processing process of the emergency plan generation module is as follows: Obtain the characteristic value of the embankment bearing capacity and determine whether it meets expectations; Determine that the characteristic value of the embankment bearing capacity meets expectations; If it is determined that the characteristic value of the dam bearing capacity meets expectations, the best solution is fed back to the display module through the data feedback module; Otherwise, select the emergency plan from the emergency plan library again and simulate the working condition of the flood control dam again until the characteristic value of the dam bearing capacity reaches the expected value. If it fails to reach the expected value for three consecutive times, the control module controls the early warning module to issue an early warning to the outside.
6. A water conservancy digital twin information management platform according to claim 5, characterized in that: The data acquisition module is also used to detect the water flow of the flood control dam inlet channel and obtain the total amount of water inflow. The data analysis module is also used to analyze the total amount of water inflow and the water body data set; combined with the three-dimensional model of the flood control dam, a prediction model for the flood control dam under the influence of water inflow is constructed to obtain a third load prediction value, and the judgment module is used to determine whether the third load prediction value exceeds a preset threshold.
7. A water conservancy digital twin information management platform according to claim 6, characterized in that: The specific method for obtaining the total amount of water inflow is: using the formula that the total amount of water inflow is equal to the water inflow flow multiplied by the water inflow time, the total amount of water inflow can be obtained.
8. A water conservancy digital twin information management platform according to claim 7, characterized in that: The data analysis module analyzes the total amount of water inflow and the water body data set to obtain the specific processing process of the third load prediction value: The real-time water volume in the flood control dam is calculated by the sum of the total water inflow and the water volume in the flood control dam to obtain the third load prediction value.
9. A water conservancy digital twin information management platform according to claim 8, characterized in that: It also includes a cloud transmission module and a mobile terminal. The mobile terminal is connected to the master control module through the cloud transmission module. The mobile terminal is a personal mobile phone of the staff. When the information is fed back to the display module through the information feedback module and the early warning module is controlled by the master control module, it is synchronously transmitted to the mobile terminal through the cloud transmission module.
10. A water conservancy digital twin information management platform according to claim 9, characterized in that: It also includes an information sending module, which is communicatively connected to the master control module, and the information sending module is communicatively connected to the cloud transmission module. The data acquisition module is also used to monitor the water surface in the flood control dam in real time. If floating objects are detected on the water surface, they are synchronously transmitted to the mobile terminal through the cloud transmission module.