Water conservancy project topographic survey system and method based on three-dimensional constructed model

Abstract

The invention discloses a water conservancy project terrain investigation system and method based on a three-dimensional constructed model, and relates to the technical field of water conservancy project terrain investigation, and the system comprises a monitoring center which is in communication connection with a model construction module, a data processing module, a data analysis module and a real-time monitoring module; the model construction module is used for constructing a three-dimensional triangulation network model in a preset range of a water conservancy project; the data processing module is used for acquiring a dynamic difference coefficient of each three-dimensional triangulation network in the three-dimensional triangulation network model; the data analysis module is used for screening out a key three-dimensional triangulation network according to the dynamic difference coefficient of the three-dimensional triangulation network, and arranging real-time monitoring points in the key three-dimensional triangulation network; and the real-time monitoring module is used for performing real-time monitoring on the key three-dimensional triangulation network, and performing highlight display or engineering early warning evaluation on the key three-dimensional triangulation network according to a monitoring result. According to the invention, the precision and efficiency of topographic data acquisition are improved, and the disaster early warning capability is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of topographic survey of water conservancy projects, and in particular to a system and method for topographic survey of water conservancy projects based on a three-dimensional construction model. Background Art

[0002] CN115187728A "A survey method and system based on a visual three-dimensional model" includes: obtaining and determining the scope of the on-site survey according to the geographical location of the target survey area. Determining the measurement plan and the aerial photography plan according to the requirements of the industry technical specifications. Obtaining a two-dimensional topographic map according to the measurement plan. Obtaining aerial image data according to the aerial photography plan. Importing the real-life visual three-dimensional model data and the two-dimensional topographic map into the CASS mapping software to display the three-dimensional model in the left window and the two-dimensional topographic map in the right window.

[0003] CN118623848A "A complex terrain mapping system and mapping method" includes: a terrain mapping unit, a data extraction unit, a data processing unit, a terrain modeling unit and a data analysis unit; wherein: the terrain mapping unit is used to take low-altitude photos of complex terrain, obtain ground image data, and use laser radar technology to measure the complex ground elevation. By analyzing the size, pixel, grayscale and ground elevation information data of the complex terrain image, the clarity of the complex terrain image, the image processing index and the elevation deviation rate are judged respectively.

[0004] In the construction of modern water conservancy projects, topographic survey is a crucial preliminary work, which not only affects the design quality of the project, but also directly relates to the safety and economy of the project. Traditional topographic survey methods rely on field measurements and manual topographic maps, which is time-consuming, costly and has limited accuracy. With the development of information technology, especially the advancement of three-dimensional modeling technology, more and more water conservancy projects have begun to use three-dimensional construction models for topographic surveys, which not only improves the survey efficiency, but also enhances the accuracy and practicality of the survey results. However, the existing three-dimensional construction model technology still has some shortcomings when applied to water conservancy projects, such as insufficient data collection, low model construction accuracy, and insufficient intuitive display and application of results. These problems limit the application effect of three-dimensional construction model technology in topographic survey of water conservancy projects. Therefore, it is particularly necessary to develop an efficient and accurate topographic survey method for water conservancy projects based on three-dimensional construction models. Summary of the invention

[0005] In order to solve the above technical problems, the object of the present invention is to provide a water conservancy project topographic survey system based on a three-dimensional construction model, including a monitoring center, wherein the monitoring center is communicatively connected with a model construction module, a data processing module, a data analysis module and a real-time monitoring module;

[0006] The model building module is used to build a three-dimensional triangulated network model within the preset range of the water conservancy project;

[0007] The data processing module is used to obtain the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model;

[0008] The data analysis module is used to screen out key 3D triangulated networks according to the dynamic difference coefficient of the 3D triangulated networks, and to arrange real-time monitoring points in the key 3D triangulated networks;

[0009] The real-time monitoring module is used to monitor the key 3D triangulated networks in real time, and to highlight the key 3D triangulated networks or conduct engineering early warning assessments based on the monitoring results.

[0010] Furthermore, the process of constructing a three-dimensional triangulated network model within the preset range of the water conservancy project includes:

[0011] The GIS geographic data within the preset range of the water conservancy project is obtained through GIS means and the collection cycle is set. The terrain features, attribute data and elevation data within the preset range are obtained according to the GIS geographic data of the current collection cycle. A plane triangulation model within the preset range is constructed according to the terrain features. The elevations on the vertices of each plane triangle in the plane triangulation model are set according to the elevation data to generate a three-dimensional triangulation model. The attributes of each three-dimensional triangulation in the three-dimensional triangulation model are labeled according to the attribute data.

[0012] Furthermore, the process of obtaining the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model includes:

[0013] Acquire GIS geographic data of each 3D triangulated network in the 3D triangulated network model within several historical collection cycles, acquire period intervals between several historical collection cycles and the current collection cycle, and set corresponding forgetting coefficients within each historical collection cycle according to the period intervals;

[0014] The GIS geographic data of the 3D triangulated network in each historical collection cycle is compared with the GIS geographic data of the 3D triangulated network in the current collection cycle to obtain the difference coefficient corresponding to the GIS geographic data of the 3D triangulated network in each historical collection cycle; based on the difference coefficient corresponding to the GIS geographic data of the 3D triangulated network in each historical collection cycle and the corresponding forgetting coefficient in each historical collection cycle of the 3D triangulated network, the dynamic difference coefficient of the 3D triangulated network is obtained.

[0015] Furthermore, the key three-dimensional triangulated network is selected according to the dynamic difference coefficient of the three-dimensional triangulated network, and the process of arranging real-time monitoring points in the key three-dimensional triangulated network includes:

[0016] The dynamic difference coefficient of each three-dimensional triangulated network is compared with a preset dynamic difference coefficient threshold, and the three-dimensional triangulated network whose corresponding dynamic difference coefficient is greater than the dynamic difference coefficient threshold is marked as a key three-dimensional triangulated network. Real-time monitoring points are arranged in the key three-dimensional triangulated network, and the type characteristics of the water conservancy projects included in the coverage area of ​​the key three-dimensional triangulated network are obtained. The engineering monitoring indicators of the key three-dimensional triangulated network are obtained according to the type characteristics of the water conservancy projects. At the same time, the historical natural disaster records in the coverage area of ​​the key three-dimensional triangulated network are obtained, and the meteorological monitoring indicators of the key three-dimensional triangulated network are obtained according to the historical natural disaster records. The real-time monitoring points collect engineering monitoring data and meteorological monitoring data in real time according to the monitoring indicators and meteorological monitoring indicators and mark the collection time.

[0017] Furthermore, the process of real-time monitoring of the key 3D triangulated network and highlighting or engineering early warning evaluation of the key 3D triangulated network according to the monitoring results includes:

[0018] Extract the numerical time series sequence of each type of engineering monitoring indicator in the engineering monitoring data of the key three-dimensional triangulated network, preset the threshold interval corresponding to each type of engineering monitoring indicator, compare the numerical time series sequence of each type of engineering monitoring indicator with the corresponding threshold interval, obtain the cumulative time when the numerical time series sequence of each type of engineering monitoring indicator is not within the corresponding threshold interval, compare the cumulative time with the preset time threshold, if the cumulative time corresponding to the engineering monitoring indicator is less than the time threshold, mark the engineering monitoring indicator as a red engineering monitoring indicator, and highlight the key three-dimensional triangulated network in red according to the red engineering monitoring indicator;

[0019] If the accumulated time corresponding to each type of engineering monitoring indicator is greater than or equal to the time threshold, an engineering early warning assessment is conducted on the key three-dimensional triangulated network model.

[0020] Furthermore, the process of engineering early warning assessment for each key 3D triangulated network model includes:

[0021] According to the numerical time series of each type of engineering monitoring indicator in the engineering monitoring data of each key three-dimensional triangulated network in the current collection period, the fluctuation coefficient corresponding to each type of engineering monitoring indicator of each key three-dimensional triangulated network is obtained, and at the same time, the vulnerability coefficient of each type of engineering monitoring indicator of each key three-dimensional triangulated network under different meteorological monitoring data conditions is obtained;

[0022] Obtain the meteorological monitoring data of the current collection period, obtain the vulnerability coefficients of the monitoring indicators of various types of projects according to the meteorological monitoring data of the current collection period and the vulnerability coefficients of the monitoring indicators of various types of projects under different meteorological monitoring data conditions, and set the weight coefficients of the monitoring indicators of various types of projects according to the vulnerability coefficients of the monitoring indicators of various types of projects;

[0023] The fluctuation coefficient corresponding to each type of engineering monitoring indicator is used as the evaluation indicator. The weight matrix of the evaluation indicator is set according to the weight coefficient of each type of engineering monitoring indicator. The membership function and several stability levels are preset. The membership matrix of each key three-dimensional triangulated network for different stability levels is obtained through fuzzy comprehensive evaluation.

[0024] The stability level of each key 3D triangulated network is obtained through the membership matrix and the weight matrix, and the stability level of each key 3D triangulated network is compared with the preset stability level threshold. If the stability level of the key 3D triangulated network is less than the stability level threshold, the key 3D triangulated network is highlighted in yellow.

[0025] Furthermore, the process of obtaining the vulnerability coefficients of various types of engineering monitoring indicators of key three-dimensional triangulated networks under different meteorological monitoring data conditions includes:

[0026] The engineering monitoring data and meteorological monitoring data of each key three-dimensional triangulated network within several historical collection cycles are obtained, and statistical analysis is performed on the engineering monitoring data and meteorological monitoring data within several historical collection cycles to obtain the cumulative number of times each type of engineering monitoring indicator of each key three-dimensional triangulated network is marked as a red engineering monitoring indicator under different meteorological monitoring data conditions, and the vulnerability coefficient of each type of engineering monitoring indicator of each key three-dimensional triangulated network under different meteorological monitoring data conditions is obtained based on the cumulative number of times.

[0027] A method for topographic survey of water conservancy projects based on a three-dimensional construction model comprises the following steps:

[0028] Step s1: construct a three-dimensional triangulated network model within the preset range of the water conservancy project;

[0029] Step s2: obtaining the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model;

[0030] Step s3: selecting a key three-dimensional triangulated network according to the dynamic difference coefficient of the three-dimensional triangulated network, and arranging real-time monitoring points in the key three-dimensional triangulated network;

[0031] Step s4: Real-time monitoring of key 3D triangulated networks, and highlighting or engineering early warning evaluation of key 3D triangulated networks based on the monitoring results.

[0032] The water conservancy project topographic survey system based on the three-dimensional construction model provided by the present invention has the following significant beneficial effects compared with the prior art:

[0033] 1. Improve monitoring accuracy and efficiency:

[0034] By using GIS to obtain high-precision geographic data and combining it with a three-dimensional triangulated network model, the terrain characteristics, attribute data and elevation information within the preset range of the water conservancy project can be more accurately reflected. This not only improves the accuracy of terrain data, but also provides a solid foundation for subsequent data processing and analysis.

[0035] The calculation of the dynamic difference coefficient takes into account the changing trend of historical data and the current data status, enabling the system to quickly identify key areas and conduct focused monitoring, thereby improving monitoring efficiency.

[0036] 2. Enhance disaster early warning capabilities:

[0037] The system can screen out key 3D triangulated networks based on the dynamic difference coefficient, and deploy real-time monitoring points in these areas to continuously monitor potential risk areas. This approach helps to detect abnormal situations in a timely manner, such as sudden changes in water levels and increased soil erosion, so that preventive measures can be taken in advance to reduce losses caused by natural disasters.

[0038] Through comprehensive analysis of engineering monitoring data and meteorological monitoring data, the system can predict the vulnerability of various types of engineering monitoring indicators under different meteorological conditions, and then make corresponding early warning assessments. This greatly enhances the system's disaster warning capabilities and provides a guarantee for the safe operation of water conservancy projects.

[0039] 3. Optimize resource allocation:

[0040] Based on the stability level evaluation results of key 3D triangulated networks, the system can help decision makers allocate resources reasonably and give priority to areas with poor stability or high risks. This can not only avoid waste of resources, but also ensure that limited resources are used where they are most needed.

[0041] Through real-time monitoring and early warning mechanisms, the system can help managers allocate water resources more scientifically, such as rationally allocating irrigation water in the dry season and effectively regulating reservoir discharge in the flood season, thereby improving the efficiency of water resource utilization.

[0042] 4. Support intelligent decision-making:

[0043] The fuzzy comprehensive evaluation method provided by the system can comprehensively consider multiple factors (such as fluctuation coefficient, weight coefficient, etc.) to provide a comprehensive and objective stability evaluation for each key 3D triangulated network. This provides strong support for decision makers, enabling them to make more informed decisions based on data analysis.

[0044] Through the visual interface, users can intuitively view the status changes of key 3D triangulated networks, including red highlighting and yellow highlighting, which helps to quickly identify problems and speed up response.

[0045] In summary, the water conservancy project terrain survey system based on the three-dimensional construction model proposed in the present invention not only improves the accuracy and efficiency of terrain data acquisition, but also enhances disaster warning capabilities, optimizes resource allocation, supports intelligent decision-making, and promotes the sustainable development of water conservancy projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a schematic diagram of a water conservancy project terrain survey system based on a three-dimensional construction model according to an embodiment of the present application.

[0047] Figure 2 This is a schematic diagram of a method for topographic survey of water conservancy projects based on a three-dimensional construction model according to an embodiment of the present application. DETAILED DESCRIPTION

[0048] The following is a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0049] like Figure 1 As shown, a water conservancy project terrain survey system based on a three-dimensional construction model includes a monitoring center, and the monitoring center is communicatively connected with a model construction module, a data processing module, a data analysis module and a real-time monitoring module;

[0050] The model building module is used to build a three-dimensional triangulated network model within the preset range of the water conservancy project;

[0051] The data processing module is used to obtain the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model;

[0052] The data analysis module is used to screen out key 3D triangulated networks according to the dynamic difference coefficient of the 3D triangulated networks, and to arrange real-time monitoring points in the key 3D triangulated networks;

[0053] The real-time monitoring module is used to monitor the key 3D triangulated networks in real time, and to highlight the key 3D triangulated networks or conduct engineering early warning assessments based on the monitoring results.

[0054] It should be further explained that, in the specific implementation process, the process of constructing a three-dimensional triangulated network model within the preset scope of the water conservancy project includes:

[0055] The GIS geographic data within the preset range of the water conservancy project is obtained through GIS means and the collection cycle is set. The terrain characteristics (such as slope, slope direction, terrain undulation, terrain roughness, ridge line and valley line, etc.), attribute data (such as land use type, soil type, vegetation coverage, population density, etc.) and elevation data within the preset range are obtained according to the GIS geographic data of the current collection cycle. A plane triangulated network model within the preset range is constructed according to the terrain characteristics, and the elevations on the vertices of each plane triangle in the plane triangulated network model are set according to the elevation data to generate a three-dimensional triangulated network model. The attributes of each three-dimensional triangulated network in the three-dimensional triangulated network model are annotated according to the attribute data.

[0056] It should be further explained that, in the specific implementation process, the process of obtaining the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model includes:

[0057] Acquire GIS geographic data of each 3D triangulated network in the 3D triangulated network model within several historical collection cycles, acquire period intervals between several historical collection cycles and the current collection cycle, and set corresponding forgetting coefficients within each historical collection cycle according to the period intervals;

[0058] The GIS geographic data of the 3D triangulated network in each historical collection cycle is compared with the GIS geographic data of the 3D triangulated network in the current collection cycle to obtain the difference coefficient corresponding to the GIS geographic data of the 3D triangulated network in each historical collection cycle; based on the difference coefficient corresponding to the GIS geographic data of the 3D triangulated network in each historical collection cycle and the corresponding forgetting coefficient in each historical collection cycle of the 3D triangulated network, the dynamic difference coefficient of the 3D triangulated network is obtained.

[0059] It should be further explained that, in the specific implementation process, the GIS geographic data of the 3D triangulated network in each historical collection cycle is compared with the GIS geographic data of the 3D triangulated network in the current collection cycle, and the specific process of obtaining the difference coefficient corresponding to the GIS geographic data in each historical collection cycle of the 3D triangulated network is:

[0060] It is pre-determined that each vertex of the 3D triangulated network has the same vertex number in different acquisition cycles. For each vertex i, obtain its vertex number in the historical acquisition cycle t 1 The coordinates (x t1，i ,y t1，i , z t1，i ), and t 2 The coordinates (x t2，i ,y t2，i , z t2，i ), and then obtain the displacement of vertex i in the x, y, and z directions, Δx i =x t2，i-x t1，i , Δy i =y t2，i -y t1，i , Δz i =z t2，i -z t1，i , get the total number of vertices N of each 3D triangulated network, and get the calculation formula of the difference coefficient C between two different acquisition cycles:

[0061]

[0062] In the above formula, i and j are both indices used to traverse all vertices. In the numerator, i traverses from 1 to N (the total number of vertices), calculates the total displacement of each vertex, and then finds the average of these displacements. In the denominator, the internal i also traverses from 1 to N, calculates the square of the difference between the total displacement of each vertex and the average displacement, and the denominator j also traverses from 1 to N to calculate the average of the total displacement of all vertices. The use of j here is to clearly indicate that when calculating the standard deviation, it is necessary to first calculate the average of the displacements of all vertices. This average is obtained by traversing all vertices j. Therefore, a different index j is used to avoid confusion with the outer i. If j is replaced by i, the formula will become unclear, because the same index i will be used for the sum of the inner and outer layers at the same time, which is easy to cause confusion. Therefore, for the sake of clarity in expression and logical correctness, j is used as another index to distinguish different operations;

[0063] When C is small, it indicates that there is little change between the GIS geographic data of the two collection cycles and the terrain is relatively stable. When C is large, it indicates that there is a significant change between the GIS geographic data of the two collection cycles, which may mean that the terrain has undergone a major change.

[0064] It should be further explained that, in the specific implementation process, the key three-dimensional triangulated network is selected according to the dynamic difference coefficient of the three-dimensional triangulated network, and the process of arranging real-time monitoring points in the key three-dimensional triangulated network includes:

[0065] The dynamic difference coefficient of each three-dimensional triangulated network is compared with the preset dynamic difference coefficient threshold, and the three-dimensional triangulated network with the corresponding dynamic difference coefficient greater than the dynamic difference coefficient threshold is marked as a key three-dimensional triangulated network. Real-time monitoring points are arranged in the key three-dimensional triangulated network, and the type characteristics of the water conservancy projects included in the coverage area of ​​the key three-dimensional triangulated network are obtained. The type characteristics of the water conservancy projects and their related monitoring indicators include: reservoirs, whose monitoring indicators include water level, water quality, seepage, cracks, etc.; river management, whose monitoring indicators include flow, water quality, soil erosion, etc.; irrigation systems, whose monitoring indicators include water supply, leakage loss, soil moisture, etc. ; Hydropower stations, whose monitoring indicators include power generation, reservoir water level, downstream water flow, etc.; flood control projects (such as levees), whose monitoring indicators include levee top elevation, levee body stability, water level warning lines, etc.; inter-basin water diversion projects, whose monitoring indicators include water diversion volume, water quality, etc., obtain the engineering monitoring indicators of the key three-dimensional triangulated network according to the type characteristics of the water conservancy project, and at the same time obtain the historical natural disaster records in the coverage area of ​​the key three-dimensional triangulated network, and obtain the meteorological monitoring indicators of the key three-dimensional triangulated network according to the historical natural disaster records. The real-time monitoring points collect engineering monitoring data and meteorological monitoring data in real time according to the monitoring indicators and meteorological monitoring indicators and mark the collection time.

[0066] It should be further explained that, in the specific implementation process, the key 3D triangulated network is monitored in real time, and the process of highlighting the key 3D triangulated network or performing engineering early warning evaluation according to the monitoring results includes:

[0067] Extract the numerical time series sequence of each type of engineering monitoring indicator in the engineering monitoring data of the key three-dimensional triangulated network, preset the threshold interval corresponding to each type of engineering monitoring indicator, compare the numerical time series sequence of each type of engineering monitoring indicator with the corresponding threshold interval, obtain the cumulative time when the numerical time series sequence of each type of engineering monitoring indicator is not within the corresponding threshold interval, compare the cumulative time with the preset time threshold, if the cumulative time corresponding to the engineering monitoring indicator is less than the time threshold, mark the engineering monitoring indicator as a red engineering monitoring indicator, and highlight the key three-dimensional triangulated network in red according to the red engineering monitoring indicator;

[0068] If the accumulated time corresponding to each type of engineering monitoring indicator is greater than or equal to the time threshold, an engineering early warning assessment is conducted on the key three-dimensional triangulated network model.

[0069] It should be further explained that, in the specific implementation process, the process of engineering early warning evaluation of each key 3D triangulated network model includes:

[0070] According to the numerical time series of each type of engineering monitoring indicator in the engineering monitoring data of each key three-dimensional triangulated network in the current collection period, the fluctuation coefficient corresponding to each type of engineering monitoring indicator of each key three-dimensional triangulated network is obtained, and at the same time, the vulnerability coefficient of each type of engineering monitoring indicator of each key three-dimensional triangulated network under different meteorological monitoring data conditions is obtained;

[0071] Obtain the meteorological monitoring data of the current collection period, obtain the vulnerability coefficients of the monitoring indicators of various types of projects according to the meteorological monitoring data of the current collection period and the vulnerability coefficients of the monitoring indicators of various types of projects under different meteorological monitoring data conditions, and set the weight coefficients of the monitoring indicators of various types of projects according to the vulnerability coefficients of the monitoring indicators of various types of projects;

[0072] The fluctuation coefficient corresponding to each type of engineering monitoring indicator is used as the evaluation indicator. The weight matrix of the evaluation indicator is set according to the weight coefficient of each type of engineering monitoring indicator. The membership function and several stability levels are preset. The membership matrix of each key three-dimensional triangulated network for different stability levels is obtained through fuzzy comprehensive evaluation.

[0073] The stability level of each key 3D triangulated network is obtained through the membership matrix and the weight matrix, and the stability level of each key 3D triangulated network is compared with the preset stability level threshold. If the stability level of the key 3D triangulated network is less than the stability level threshold, the key 3D triangulated network is highlighted in yellow.

[0074] It should be further explained that, in the specific implementation process, the process of obtaining the stability level of each key three-dimensional triangulated network according to the membership matrix and the index weight matrix includes:

[0075] The indicator weight matrix and the membership matrix of the evaluation indicators are integrated through a formula to obtain a fuzzy comprehensive evaluation matrix of the evaluation indicators, and the membership of each key three-dimensional triangulated network for different stability levels is obtained according to the fuzzy comprehensive evaluation matrix, and the stability level with the highest membership corresponding to each key three-dimensional triangulated network is screened out, and the stability level with the highest membership corresponding to each key three-dimensional triangulated network is used as the stability level of each key three-dimensional triangulated network;

[0076] Wherein, the formula is:

[0077] M=αM 1 ×βM 2 ;

[0078] Among them, M is the fuzzy comprehensive evaluation matrix of the evaluation index, M 1 is the indicator weight matrix of the evaluation indicator, M 2is the membership matrix, "×" represents the multiplication of the weight matrix of the evaluation index and the elements at the corresponding positions of the membership matrix, and α and β are weighting parameters for controlling the balance between the weight matrix and the membership matrix in the fuzzy comprehensive evaluation matrix of the evaluation index.

[0079] It should be further explained that, in the specific implementation process, the process of obtaining the vulnerability coefficients of various types of engineering monitoring indicators of key three-dimensional triangulated networks under different meteorological monitoring data conditions includes:

[0080] The engineering monitoring data and meteorological monitoring data of each key three-dimensional triangulated network within several historical collection cycles are obtained, and statistical analysis is performed on the engineering monitoring data and meteorological monitoring data within several historical collection cycles to obtain the cumulative number of times each type of engineering monitoring indicator of each key three-dimensional triangulated network is marked as a red engineering monitoring indicator under different meteorological monitoring data conditions, and the vulnerability coefficient of each type of engineering monitoring indicator of each key three-dimensional triangulated network under different meteorological monitoring data conditions is obtained based on the cumulative number of times.

[0081] like Figure 2 As shown, a method for topographic survey of water conservancy projects based on a three-dimensional construction model comprises the following steps:

[0082] Step s1: construct a three-dimensional triangulated network model within the preset range of the water conservancy project;

[0083] Step s2: obtaining the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model;

[0084] Step s3: selecting a key three-dimensional triangulated network according to the dynamic difference coefficient of the three-dimensional triangulated network, and arranging real-time monitoring points in the key three-dimensional triangulated network;

[0085] Step s4: Real-time monitoring of key 3D triangulated networks, and highlighting or engineering early warning evaluation of key 3D triangulated networks based on the monitoring results.

[0086] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A water conservancy project terrain survey system based on a three-dimensional construction model, characterized in that: It includes a monitoring center, which is communicatively connected with a model building module, a data processing module, a data analysis module and a real-time monitoring module; The model building module is used to build a three-dimensional triangulated network model within the preset range of the water conservancy project; The data processing module is used to obtain the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model; The data analysis module is used to screen out key 3D triangulated networks according to the dynamic difference coefficient of the 3D triangulated networks, and to arrange real-time monitoring points in the key 3D triangulated networks; The real-time monitoring module is used to monitor the key 3D triangulated networks in real time, and to highlight the key 3D triangulated networks or conduct engineering early warning assessments based on the monitoring results.

2. A water conservancy engineering topographic survey system based on a three-dimensional construction model according to claim 1, characterized in that: The process of constructing a 3D triangulated network model within the preset scope of a water conservancy project includes: The GIS geographic data within the preset range of the water conservancy project is obtained through GIS means and the collection cycle is set. The terrain features, attribute data and elevation data within the preset range are obtained according to the GIS geographic data of the current collection cycle. A plane triangulation model within the preset range is constructed according to the terrain features. The elevations on the vertices of each plane triangle in the plane triangulation model are set according to the elevation data to generate a three-dimensional triangulation model. The attributes of each three-dimensional triangulation in the three-dimensional triangulation model are labeled according to the attribute data.

3. A water conservancy project topographic survey system based on three-dimensional construction model according to claim 2, characterized in that: The process of obtaining the dynamic difference coefficient of each 3D triangulated network in the 3D triangulated network model includes: Acquire GIS geographic data of each 3D triangulated network in the 3D triangulated network model within several historical collection cycles, acquire period intervals between several historical collection cycles and the current collection cycle, and set corresponding forgetting coefficients within each historical collection cycle according to the period intervals; The GIS geographic data of the 3D triangulated network in each historical collection cycle is compared with the GIS geographic data of the 3D triangulated network in the current collection cycle to obtain the difference coefficient corresponding to the GIS geographic data of the 3D triangulated network in each historical collection cycle; based on the difference coefficient corresponding to the GIS geographic data of the 3D triangulated network in each historical collection cycle and the corresponding forgetting coefficient in each historical collection cycle of the 3D triangulated network, the dynamic difference coefficient of the 3D triangulated network is obtained.

4. A water conservancy project topographic survey system based on three-dimensional construction model according to claim 3, characterized in that: The key 3D triangulated network is selected according to the dynamic difference coefficient of the 3D triangulated network, and the process of arranging real-time monitoring points in the key 3D triangulated network includes: The dynamic difference coefficient of each three-dimensional triangulated network is compared with a preset dynamic difference coefficient threshold, and the three-dimensional triangulated network whose corresponding dynamic difference coefficient is greater than the dynamic difference coefficient threshold is marked as a key three-dimensional triangulated network. Real-time monitoring points are arranged in the key three-dimensional triangulated network, and the type characteristics of the water conservancy projects included in the coverage area of ​​the key three-dimensional triangulated network are obtained. The engineering monitoring indicators of the key three-dimensional triangulated network are obtained according to the type characteristics of the water conservancy projects. At the same time, the historical natural disaster records in the coverage area of ​​the key three-dimensional triangulated network are obtained, and the meteorological monitoring indicators of the key three-dimensional triangulated network are obtained according to the historical natural disaster records. The real-time monitoring points collect engineering monitoring data and meteorological monitoring data in real time according to the monitoring indicators and meteorological monitoring indicators and mark the collection time.

5. A water conservancy project topographic survey system based on three-dimensional construction model according to claim 4, characterized in that: The process of real-time monitoring of key 3D triangulated networks and highlighting or engineering early warning evaluation of key 3D triangulated networks based on the monitoring results includes: Extract the numerical time series sequence of each type of engineering monitoring indicator in the engineering monitoring data of the key three-dimensional triangulated network, preset the threshold interval corresponding to each type of engineering monitoring indicator, compare the numerical time series sequence of each type of engineering monitoring indicator with the corresponding threshold interval, obtain the cumulative time when the numerical time series sequence of each type of engineering monitoring indicator is not within the corresponding threshold interval, compare the cumulative time with the preset time threshold, if the cumulative time corresponding to the engineering monitoring indicator is less than the time threshold, mark the engineering monitoring indicator as a red engineering monitoring indicator, and highlight the key three-dimensional triangulated network in red according to the red engineering monitoring indicator; If the accumulated time corresponding to each type of engineering monitoring indicator is greater than or equal to the time threshold, an engineering early warning assessment is conducted on the key three-dimensional triangulated network model.

6. A water conservancy project topographic survey system based on three-dimensional construction model according to claim 5, characterized in that: The process of engineering early warning assessment for each key 3D triangulated network model includes: According to the numerical time series of each type of engineering monitoring indicator in the engineering monitoring data of each key three-dimensional triangulated network in the current collection period, the fluctuation coefficient corresponding to each type of engineering monitoring indicator of each key three-dimensional triangulated network is obtained, and at the same time, the vulnerability coefficient of each type of engineering monitoring indicator of each key three-dimensional triangulated network under different meteorological monitoring data conditions is obtained; Obtain the meteorological monitoring data of the current collection period, obtain the vulnerability coefficients of the monitoring indicators of various types of projects according to the meteorological monitoring data of the current collection period and the vulnerability coefficients of the monitoring indicators of various types of projects under different meteorological monitoring data conditions, and set the weight coefficients of the monitoring indicators of various types of projects according to the vulnerability coefficients of the monitoring indicators of various types of projects; The fluctuation coefficient corresponding to each type of engineering monitoring indicator is used as the evaluation indicator. The weight matrix of the evaluation indicator is set according to the weight coefficient of each type of engineering monitoring indicator. The membership function and several stability levels are preset. The membership matrix of each key three-dimensional triangulated network for different stability levels is obtained through fuzzy comprehensive evaluation. The stability level of each key 3D triangulated network is obtained through the membership matrix and the weight matrix, and the stability level of each key 3D triangulated network is compared with the preset stability level threshold. If the stability level of the key 3D triangulated network is less than the stability level threshold, the key 3D triangulated network is highlighted in yellow.

7. A water conservancy project topographic survey system based on three-dimensional construction model according to claim 6, characterized in that: The process of obtaining the vulnerability coefficients of various types of engineering monitoring indicators of key three-dimensional triangulated networks under different meteorological monitoring data conditions includes: The engineering monitoring data and meteorological monitoring data of each key three-dimensional triangulated network within several historical collection cycles are obtained, and statistical analysis is performed on the engineering monitoring data and meteorological monitoring data within several historical collection cycles to obtain the cumulative number of times each type of engineering monitoring indicator of each key three-dimensional triangulated network is marked as a red engineering monitoring indicator under different meteorological monitoring data conditions, and the vulnerability coefficient of each type of engineering monitoring indicator of each key three-dimensional triangulated network under different meteorological monitoring data conditions is obtained based on the cumulative number of times.

8. A method for topographic survey of water conservancy projects based on a three-dimensional model, specifically applied to a topographic survey system for water conservancy projects based on a three-dimensional model as claimed in any one of claims 1 to 7, characterized in that: The following steps are involved: Step s1: construct a three-dimensional triangulated network model within the preset range of the water conservancy project; Step s2: obtaining the dynamic difference coefficient of each three-dimensional triangulated network in the three-dimensional triangulated network model; Step s3: selecting a key three-dimensional triangulated network according to the dynamic difference coefficient of the three-dimensional triangulated network, and arranging real-time monitoring points in the key three-dimensional triangulated network; Step s4: Real-time monitoring of key 3D triangulated networks, and highlighting or engineering early warning evaluation of key 3D triangulated networks based on the monitoring results.

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