A digital visualization display system for water conservancy project design
By designing a digital visual display system for water conservancy engineering design, the problems of insufficient data update and synchronization and limitations of model display data in the existing technology are solved, timely update and synchronization of data are achieved, and management level and decision-making scientificity are improved. .
Patent Information
- Application Number
- CN202411697545.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2025-02-18
- Estimated Expiration
- 2044-11-26
AI Technical Summary
The existing water conservancy engineering design display system has insufficient attention to data updates and synchronization, resulting in inefficient information obtained by designers, construction workers and managers, affecting the accuracy of decisions. In addition, the model display data is relatively limited and the targeted display design cannot be fully combined with the specific data characteristics.
A digital visual display system for water conservancy engineering design is designed, which includes engineering tracking data import module, engineering three-dimensional model building module, engineering tracking data analysis module, three-dimensional model update setting module, database and engineering visual display module. The system uses geographic information data and measurement data to build a panoramic model and monitoring sub-model, and performs data analysis and update settings to achieve timely update and synchronization of data.
The system realizes a complete process from data import, analysis to model construction, update settings and visual display, and provides a comprehensive, dynamic and intuitive visual display platform, improving the management level and decision-making in the design, construction and operation stage of water conservancy engineering. Scientific.
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Figure CN119180089B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of engineering design, and in particular relates to a digital visualization display system for water conservancy engineering design. Background Art
[0002] Water conservancy projects are large in scale and complex in structure, involving multiple professional fields such as hydrology, geology, and hydraulic structures. Traditional design drawings and documents are difficult to intuitively display the overall picture and details of the project, and a digital visualization display system is needed to help designers, construction workers, and managers better understand and grasp the design plan of the project.
[0003] Prior art, such as the Chinese invention patent application with application number 202110363634.3, discloses a method for constructing a general BIM display platform suitable for the water conservancy engineering industry, which includes: S1, constructing a BIM resource manager to support BIM data resources. S2, constructing a BIM resource browser to achieve rendering of BIM data resources. S3, constructing a network resource server, establishing a BIM resource database, deploying BIM resources on the server, browsing BIM resources through the network, storing BIM resources uploaded by users in the BIM resource database, supporting BIM resource query, publishing, deletion, maintenance, export operations, and model WBS information management after BIM resources are released. S4, constructing a BIM resource editor for editing and developing related functions and interacting with BIM resources. Furthermore, through the general BIM resource model lightweight processing technology, the lightweight processing of the three design platform models commonly used in water conservancy projects, Revit, Microstation and Catia, is achieved, which greatly reduces the size of the model, making it suitable for network transmission, and providing a foundation for BIM applications on the Web.
[0004] Another example of the prior art is the construction method of the long-distance water transfer project operation monitoring platform disclosed in the Chinese invention patent application with application number 201610183583.5. Based on many years of practical experience and actual needs, it digitally generalizes various types of water conservancy projects according to the characteristics of project operation, forming simple, elegant, data-driven programmable graphics. According to the actual pile number, project design parameters and real-time transmission data, it draws in real time to form a clear and accurate dynamic diagram of scheduling operation, so that users can very intuitively grasp the operation status of the entire water transfer line from a global perspective, thereby effectively improving the technical level of scheduling operation management.
[0005] With regard to the above technical solutions, it is obvious that the current water conservancy project design display still has the following deficiencies: 1. Insufficient attention to the updating and synchronization of display data can easily lead to untimely updating and synchronization of data. During the operation and maintenance management of water conservancy projects, untimely updates can easily lead to designers, construction personnel and managers obtaining information that is not the latest, affecting the accuracy of decision-making.
[0006] 2. The current model displays data in a limited manner and does not carry out targeted display design based on the specific data characteristics, resulting in insufficient improvement in display effect. Summary of the invention
[0007] In view of this, in order to solve the problems raised in the above background technology, a digital visualization display system for water conservancy project design is proposed.
[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a digital visualization display system for water conservancy project design, the system comprising: a project tracking data import module, used to import geographic information data and measurement data of the water conservancy project site, import the construction location and structural characteristics of each construction structure, and import the monitoring data of each construction structure in each operation scenario, and at the same time import the water body monitoring data of each monitoring in each operation scenario.
[0009] The engineering 3D model building module is used to build a panoramic model of the area where the water conservancy project is located based on geographic information data and measurement data. At the same time, based on the structural characteristics, it builds a monitoring sub-model of each construction structure and embeds it into the panoramic model in sequence based on the corresponding construction location.
[0010] The engineering tracking data analysis module is used to analyze the status of water bodies and various construction structures, and output the monitoring requirements of water bodies and various construction structures.
[0011] The three-dimensional model update setting module is used to perform data update settings and obtain the target monitoring data update frequency of each building structure and water body.
[0012] The database is used to store past meteorological data at the water conservancy project site, store a list of reference indicators for each construction structure, store the warning values of each water body monitoring indicator under each operation scenario, and store the update frequency of the initial setting data of each construction structure and water body.
[0013] The engineering visualization display module is used to display the monitoring data of each construction structure in each operation scenario and the water body monitoring data of each monitoring in each operation scenario in the form of a chart at the corresponding position of the panoramic model, and update it accordingly according to the update frequency.
[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention covers the complete process from data import and analysis to model building, update settings and final visualization display. The modules cooperate with each other to provide a more comprehensive, dynamic and intuitive visualization display platform for water conservancy project design, which helps to improve the management level and scientific decision-making of water conservancy projects in the design, construction and operation stages.
[0015] (2) The present invention solves the current problem of insufficient attention to the updating and synchronization of display data by analyzing the status of water bodies and various construction structures, and then performing data updating settings. It ensures the timeliness of subsequent data updates, as well as the timeliness and novelty of information obtained by designers, construction personnel, and managers, providing a strong guarantee for the accuracy of subsequent decision-making.
[0016] (3) The present invention analyzes the monitoring data and outputs analytical indicators such as the monitoring demand of each building structure and the monitoring demand of water bodies, thereby realizing the extraction of targeted key indicators from raw data. These indicators can intuitively reflect the current monitoring focus of each building structure and water body, provide a quantitative reference basis for subsequent resource allocation, etc., help focus on key points and improve management efficiency.
[0017] (4) The present invention solves the problem of limited data display in current models by displaying the monitoring data of the construction structure in the form of graphs at the corresponding positions of the topographic model. It fully combines the specific data characteristics to achieve an organic combination of data visualization and engineering models and targeted display design, allowing users to intuitively see the data conditions at different locations and the data change trend over time. The data is updated according to the set update frequency, maintaining the synchronization of the display content with the actual engineering status, facilitating timely status analysis and decision-making, and greatly improving the display effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.
[0019] Figure 1 It is a schematic diagram of the system module structure flow chart of the present invention.
[0020] Figure 2 It is a schematic flow chart of the overall implementation steps of the present invention.
[0021] Figure 3 It is a schematic diagram of transmission of engineering tracking data of the present invention. DETAILED DESCRIPTION
[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.
[0023] See also Figure 1 and Figure 2 As shown, the present invention provides a digital visualization display system for water conservancy project design, which includes a project tracking data import module, a project three-dimensional model building module, a project tracking data parsing module, a three-dimensional model update setting module, a database and a project visualization display module.
[0024] In the above, the project tracking data import module is connected to the project 3D model building module and the project tracking data analysis module respectively, the project tracking data analysis module is also connected to the 3D model update setting module and the database respectively, and the project visualization display module is connected to the project 3D model building module and the 3D model update setting module respectively.
[0025] The embodiment of the present invention covers the complete process from data import and analysis to model building, update settings and final visualization. The modules cooperate with each other to provide a more comprehensive, dynamic and intuitive visualization display platform for water conservancy project design, which helps to improve the management level and scientific decision-making of water conservancy projects in the design, construction and operation stages.
[0026] See also Figure 3 As shown, the project tracking data import module is used to import geographic information data and measurement data of the water conservancy project site, import the construction location and structural characteristics of each construction structure, and import the monitoring data of each construction structure in each operation scenario, and at the same time import the water body monitoring data of each monitoring in each operation scenario.
[0027] It should be added that the system of the present invention has data interfaces with other relevant systems, such as meteorological systems, geographic information systems, etc., so as to obtain more relevant data and assist in the analysis and decision-making of water conservancy project design.
[0028] It should be added that the operation scenarios include low water operation scenarios, flood discharge operation scenarios and normal water storage operation scenarios.
[0029] Among them, the geographic information data of the water conservancy project site usually comes from the geographic information system. For example, satellite remote sensing images are used to obtain the terrain undulations and surface cover types such as mountains, rivers, forests, and farmland in the area where the water conservancy project is located. The distribution can also be obtained with the help of topographic surveying and mapping results provided by professional surveying and mapping agencies, including contour maps, control point coordinates and other information.
[0030] Among them, the measurement data of the water conservancy project site covers the measurement data of many aspects of the water conservancy project site, such as leveling, angle measurement and distance measurement using instruments such as total stations and levels, obtaining the precise coordinates of key points in the project site, elevation difference and other data. The coordinate information of each part of the project under the global positioning system obtained by GPS positioning technology, as well as the underground geological structure data obtained through geological survey drilling, such as the depth of different strata, rock and soil types and related physical and mechanical parameters.
[0031] It should be added that the construction location and structural characteristics of each construction structure are based on the design drawings, and the CAD coordinate system or the coordinate system unified with the geographic information data is used to clarify the specific locations of each construction structure, such as the dam body, spillway, sluice, etc. in the project area, including plane coordinates and elevation information. At the same time, the relative position relationship between the structures is marked, such as the inlet and outlet connection positions of the dam body and the spillway, the connection points between the sluice and the channel, etc. These data are generally presented in a tabular form or in the form of coordinate information attached to the CAD drawings, and need to be converted into a format recognizable by the system before importing.
[0032] It should be added that for different construction structures, their structural characteristic data are different. Taking the dam body as an example, it is necessary to import information such as dam type, dam height, dam crest width, dam bottom width, upstream and downstream dam slopes, whether there are corridors, and the layout and size of the corridors. For the spillway, it is necessary to import the length, cross-sectional shape, lining thickness, structural form and size of the inlet and outlet of the tunnel body. For the sluice, it is necessary to import the bottom plate size of the corresponding gate chamber, the number and spacing of gate piers, gate type and size, hoist model and other related parameters. These detailed structural characteristic data will help to build an accurate monitoring sub-model in the future. Among them, dam types include gravity dams, arch dams, earth-rock dams, etc., and cross-sectional shapes include circular and city gate shapes.
[0033] Specifically, the monitoring data are the monitoring values of each monitoring indicator in each monitoring point corresponding to each monitoring part during each monitoring, and the water body monitoring data are the monitoring values of each water body monitoring indicator corresponding to each monitoring point.
[0034] It should be added that for the dam body, the monitoring part is the dam body itself, and the monitoring indicators include the displacement, stress strain, and seepage of the dam body. For the spillway, the monitoring parts are the spillway body and the spillway hoist, etc. The monitoring indicators of the spillway body include structural deformation, and the monitoring indicators of the spillway hoist include the opening speed, closing speed, rotation speed, and power, etc. For the sluice, the monitoring parts include the sluice bottom plate, piers, and gate hoist, etc. The monitoring indicators of the sluice bottom plate are monitoring pressure, etc., the monitoring indicators of the piers are displacement, etc., and the monitoring indicators of the gate hoist include the opening speed, closing speed, rotation speed, and power, etc. For the water body, the water body monitoring indicators include water level and flow rate, etc.
[0035] Specifically, the dam body displacement includes horizontal displacement and vertical displacement, and data are obtained through total stations, GPS monitoring points, etc. installed at different parts of the dam body. Stress and strain are measured by burying strain gauges and stress gauges inside the dam body to measure the stress conditions of concrete or rock and soil. Seepage is monitored by piezometers to monitor the pore water pressure at different parts of the dam body and by pressure measuring tubes to observe the seepage water level. The water level is monitored by setting water level gauges at key locations such as reservoirs and rivers. The flow rate is measured at a specific section using a flow meter.
[0036] The engineering three-dimensional model building module is used to build a panoramic model of the area where the water conservancy project is located based on geographic information data and measurement data, and at the same time, build a monitoring sub-model of each construction structure based on structural characteristics, and embed it into the panoramic model in sequence based on the corresponding construction location.
[0037] The engineering tracking data analysis module is used to analyze the state of the water body and the state of each construction structure, and output the monitoring requirement of the water body and the monitoring requirement of each construction structure.
[0038] Specifically, the water state analysis is performed, including: F1, extracting the past meteorological data of the water conservancy project site from the database, and then extracting the rainfall times and cumulative rainfall in each monitoring month corresponding to each monitoring year, and setting the environmental compensation factor, recorded as .
[0039] F2. Extract the monitoring value of each monitoring point corresponding to each water body monitoring index from the water body monitoring data, and set the water body change compensation factor, which is recorded as , and extract the maximum monitoring value of each water body monitoring indicator.
[0040] F3. Extract the warning value of each water body monitoring indicator under each operation scenario from the database, recorded as , Indicates the running scene number. , Indicates the water body monitoring indicator number, .
[0041] F4. Record the maximum detection value of each water body monitoring index in each monitoring under each operation scenario as , Indicates the monitoring sequence number. .
[0042] F5. Statistical monitoring needs of water bodies ,
[0043] , is a natural constant.
[0044] Regarding setting the environmental compensation factor in step F1, it includes: F11, dividing the number of rainfalls in each monitoring month corresponding to each monitoring year by the number of days in each monitoring month, and recording the ratio as the rainfall ratio.
[0045] F12. Count the number of monitored months whose rainfall ratio exceeds the set reference interference rainfall ratio, and divide it by the total number of months in a single year to obtain the ratio of intensive rainfall months, and calculate the annual average ratio of intensive rainfall months.
[0046] Among them, the statistical annual average intensive rainfall month ratio includes: calculating the average of the intensive rainfall month ratios in each monitoring period to obtain the average intensive rainfall month ratio, recorded as .
[0047] The average annual intensive rainfall months , , The ratio of intensive rainfall years is used as a reference.
[0048] F13. Count the number of monitoring years in which the ratio of dense rainfall months exceeds the set reference ratio of dense rainfall months, and divide it by the total number of monitoring years to obtain the ratio of dense rainfall years, recorded as .
[0049] F14. Record the monitoring months whose cumulative rainfall exceeds the set reference interference rainfall as interference rainfall months. Count the number of interference rainfall months and divide it by the total number of months in a single year. Record the ratio as the interference rainfall month ratio.
[0050] F15. Count the number of monitoring years in which the ratio of interfering rainfall months exceeds the set ratio of interfering rainfall months, and divide it by the total number of monitoring years to obtain the ratio of interfering rainfall years.
[0051] F16. Calculate the average annual interference rainfall month ratio in the same way as the annual average intensive rainfall month ratio, set the weights of the annual average intensive rainfall month ratio and the annual average interference rainfall month ratio, and calculate the environmental compensation factor through weighted average calculation. .
[0052] In a specific embodiment, illustratively, The specific value can be 0.3, the specific value of the reference interference rainfall ratio can be 0.4, and the reference interference rainfall can be 20 mm per day.
[0053] Understandably, calculating the rainfall ratio of each monitoring month and associating the number of rainfalls with the number of days in the month can intuitively reflect the relative frequency of rainfall in each month. It is no longer just a simple count of the number of rainfalls, but a more detailed portrayal of the distribution characteristics of rainfall in the time dimension. By counting indicators such as the ratio of intensive rainfall months and the ratio of interfering rainfall months, the rainfall situation was further analyzed from different angles. The ratio of intensive rainfall months considers the relative concentration of rainfall and distinguishes which years have more intensive rainfall periods. The ratio of interfering rainfall months focuses on the months when the cumulative rainfall exceeds a certain reference value. Special statistics are made for those months with large rainfall that may cause greater interference to water conservancy projects. The impact of rainfall on the project is comprehensively measured from multiple aspects. Compared with the single basis of the number of rainfalls and the cumulative rainfall, it can more comprehensively grasp the characteristics of rainfall and its potential impact.
[0054] In a specific embodiment, the weights of the average annual intensive rainfall month ratio and the average annual interference rainfall month ratio need to be set according to the actual characteristics of the water conservancy project. For example, when the water conservancy project is dominated by flood control needs, a single excessive rainfall may quickly cause the reservoir water level to rise, approaching or even exceeding the warning water level, posing a huge threat to flood control safety. It is necessary to pay more attention to the impact of large rainfall on the reservoir's water storage and flood discharge capacity. Although the frequency of rainfall will also affect the water volume regulation of the reservoir to a certain extent, it is less urgent than the heavy rainfall that may cause floods. Therefore, in this case, the weight of the average annual intensive rainfall month ratio is set to 0.4, and the weight of the average annual interference rainfall month ratio is set to 0.6. At present, water conservancy projects are not dominated by flood control needs, and frequent rainfall is more likely to cause long-term and subtle effects on water conservancy projects. For example, a long-term humid environment may accelerate the aging of engineering facilities and affect the stability of surrounding slopes. Therefore, tilting the weight toward the average annual intensive rainfall month ratio will help to accurately adjust the monitoring strategy through monitoring compensation factors according to the actual local rainfall pattern, focusing on the project status monitoring during frequent rainfall periods. At this time, the weight of the average annual intensive rainfall month ratio is set to 0.6, and the weight of the average annual interference rainfall month ratio is set to 0.4.
[0055] Regarding setting the water body change compensation factor in step F2, it includes: F21, calculating the standard deviation of the monitoring values of the same monitoring point and the same monitoring indicator in each monitoring under the same operating scenario, and recording the calculation result as the time change difference.
[0056] F22. Calculate the standard deviation of the monitoring values of the same monitoring indicator at different monitoring points in the same operating scenario, and record the calculation result as the position change difference.
[0057] F23. Confirm the target abnormal monitoring position ratio and the target abnormal monitoring order ratio, and obtain the water body change compensation factor through mean calculation.
[0058] Among them, the target abnormal monitoring position ratio and the target abnormal monitoring order ratio are confirmed in step F23, including: counting the number of monitoring indicators whose corresponding time change difference of each monitoring point under each operation scenario is greater than the set reference time change difference, which is recorded as the number of time change abnormal indicators.
[0059] Count the number of monitoring points whose corresponding time-varying abnormal indicators are not zero in each operating scenario, and divide it by the number of monitoring points. Record the ratio as the abnormal monitoring position ratio, and select the maximum value as the target abnormal monitoring position ratio.
[0060] The number of monitoring indicators whose corresponding position change difference of each monitoring in each operation scenario is greater than the set reference position change is counted and recorded as the number of position change difference indicators.
[0061] Count the number of monitoring times in which the corresponding position change difference index is not 0 in each operating scenario, and divide it by the total number of corresponding monitoring times. Record the ratio as the abnormal monitoring order ratio, and select the maximum value from it as the target abnormal monitoring order ratio.
[0062] In another specific embodiment, the state analysis of each building structure includes: B1. extracting the monitoring value of each monitoring indicator in each monitoring point corresponding to each monitoring part at each monitoring time from the monitoring data of each building structure in each operation scenario.
[0063] B2. Extract from the database the reference monitoring values of each monitoring indicator in each monitoring point corresponding to each monitoring part of each building structure under each operation scenario.
[0064] B3. Based on the set abnormal marking rules, count the number of abnormal markings of each monitoring indicator in each monitoring point corresponding to each monitoring part of each building structure in each operation scenario, and record it as , Indicates the construction structure number, , Indicates the monitoring site number. , Indicates the monitoring point number. , Indicates the monitoring indicator number.
[0065] .
[0066] B4. Count the monitoring requirements of each building structure, denoted as ,
[0067] , Indicates The analysis weight of each running scenario, , , and They represent the number of operating scenarios, the number of monitoring locations, the number of monitoring points, and the number of monitoring indicators, respectively. Indicates The construction structure is The number of monitoring times in each operation scenario.
[0068] It should be added that the analysis weight of the low-water operation scenario can be 0.35, the analysis weight of the flood discharge operation scenario can be 0.45, and the analysis weight of the normal water storage operation scenario can be 0.2.
[0069] Furthermore, the specific setting of the abnormal marking rule in step B3 is as follows: B31. Constructing a monitoring matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The monitoring indicators are The monitoring value at the time of the next monitoring.
[0070] B32. Constructing a reference monitoring matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point is The reference monitoring value of each monitoring indicator.
[0071] B33. Construct a difference matrix with the same dimension as the monitoring data matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The monitoring indicators are The difference between the monitoring values at the second monitoring, and
[0072] .
[0073] B34. Create a labeled anomaly matrix with the same dimension as the monitoring data matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The monitoring indicators are The abnormal mark value at the time of monitoring, , For setting The construction structure is In the running scenario The first monitoring site The abnormal threshold of a monitoring indicator.
[0074] B35. Create anomaly statistics matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The number of abnormal markings of monitoring indicators, .
[0075] B36. Based on the corresponding relationship between matrix dimensions, the abnormal number of statistical matrices The corresponding element value is extracted and recorded as the number of abnormal markings, so as to obtain the number of abnormal markings of each monitoring indicator in each monitoring point corresponding to each monitoring part of each building structure in each operation scenario.
[0076] Understandably, It means that for each monitoring point of each monitoring part of each building structure, the absolute value of the difference between the actual monitoring value and the corresponding reference value is calculated every day under each operation scenario, and the calculation result is filled in the difference matrix The corresponding positions of the monitoring positions are obtained to obtain a complete difference matrix, which can fully reflect the difference between the actual situation and the ideal reference state at each specific monitoring position.
[0077] Understandably, It means that when the difference matrix When the value of an element in is greater than the corresponding abnormal threshold, the abnormal matrix will be marked The element at the corresponding position in is marked as 1, indicating that the monitoring point of the monitoring part has an abnormality in the corresponding construction structure, operation scenario and monitoring day. On the contrary, it is marked as 0, indicating that the indicator is within the normal range. Such marking accurately reflects the abnormal status of each specific monitoring position.
[0078] It should be added that the abnormal threshold is the physical meaning reflected by the monitoring index and the degree of influence on the structural safety and function of the corresponding monitoring part, combined with the actual requirements of the project and the common standards and specifications of the industry. For example, the abnormal threshold setting of the horizontal displacement index of the dam body will be determined based on the maximum horizontal displacement allowed by the design of the part, taking into account factors such as the overall stability and safety margin of the dam body. The abnormal threshold of the stress index at different positions of the lining of the spillway tunnel should be determined comprehensively based on the bearing capacity of the lining material, the stress characteristics of the structure, and past experience in similar projects. Each threshold is closely related to the specific monitoring part and monitoring index to ensure the scientificity and accuracy of abnormal judgment.
[0079] The embodiment of the present invention analyzes the monitoring data and outputs analytical indicators such as the monitoring demand of each building structure and the monitoring demand of water bodies, thereby realizing the extraction of targeted key indicators from raw data. These indicators can intuitively reflect the current monitoring focus of each building structure and water body, provide a quantitative reference basis for subsequent resource allocation, etc., help focus on key points, and improve management efficiency.
[0080] The three-dimensional model update setting module is used to perform data update settings to obtain the target monitoring data update frequency of each building structure and water body.
[0081] Specifically, performing data update setting is used to perform monitoring data update setting for each building structure, including: extracting the initial setting data update frequency of each building structure from the database.
[0082] Compare the monitoring requirements of each building structure with the set reference monitoring requirements By comparison, if the monitoring requirement of a certain building structure is less than or equal to the set reference monitoring requirement, the initial setting data update frequency of the building structure is used as its target monitoring data update frequency.
[0083] If the monitoring requirement of a certain building structure is greater than the set reference monitoring requirement, the initial setting data update frequency and monitoring requirement of the building structure are recorded as and , calculate the target monitoring data update frequency of the construction structure , .
[0084] It should be added that It is set with reference to the activation function, and the value range is (0, 1). It mainly plays the role of correcting the update frequency. and The larger the difference, The closer the value is to 1, the more frequent the update frequency needs to be, and the larger the target monitoring data update frequency is, the more frequent the update frequency will be. The setting principle is the same.
[0085] In another specific embodiment, the data update setting is used to perform the water body monitoring data update setting, including: extracting the initial setting data update frequency of the water body from the database, recorded as .
[0086] Update frequency of target monitoring data for statistical water bodies ,
[0087] , Indicates the setting of reference water body monitoring demand. Indicates The monitoring demand weight value within a seasonal cycle.
[0088] In a specific embodiment, and The value may be a number slightly larger than 0. For example, the value may be 0.1.
[0089] It should be added that the water state changes differently in different seasons, and the data focus on which engineering management decisions rely is also different. By setting corresponding weights for water body monitoring in each season, the collected data can be more targeted and can better reflect the key issues facing water conservancy projects and water ecology in that season, thereby providing strong data support for engineering managers to make scientific and accurate decisions in flood control scheduling, water resources allocation, and ecological protection. For example, the first seasonal cycle is spring, and its monitoring demand weight value can be 0.2, the second seasonal cycle is summer, and the monitoring demand weight value can be 0.3, the third seasonal cycle is autumn, and the monitoring demand weight value can be 0.15, and the fourth seasonal cycle is winter, and the monitoring demand weight value can be 0.35.
[0090] It should be noted that the above values are mainly set based on seasonal water levels and water speeds, and may also be adjusted accordingly based on the specific functional design of the water conservancy project.
[0091] The embodiment of the present invention solves the current problem of insufficient attention to display data updates and synchronization by performing water body status analysis and various construction structure status analysis, thereby ensuring the timeliness of subsequent data updates, as well as the timeliness and novelty of information obtained by designers, construction personnel and managers, and providing a strong guarantee for the accuracy of subsequent decision-making.
[0092] The database is used to store past meteorological data at the water conservancy project site, store a reference index list for each construction structure, store the warning value of each water body monitoring index under each operation scenario, and store the initial setting data update frequency of each construction structure and water body.
[0093] It should be added that the source of past meteorological data at the water conservancy project site is collected from multiple channels, including historical meteorological observation records provided by local meteorological departments, that is, daily and hourly temperature, rainfall, wind speed, wind direction, humidity and other data covering many years. These data are generally stored in standardized meteorological data formats such as CSV and NetCDF. Data recorded by small meteorological stations installed at the project site can also be used. The data also needs to be sorted and converted in format for unified storage and management.
[0094] It should also be added that the reference monitoring values of each monitoring indicator in each monitoring point corresponding to each monitoring part of each construction structure under each operation scenario, the warning values of each water body monitoring indicator under each operation scenario, and the initial setting data update frequency of each construction structure and water body can be imported by relevant management personnel of the water conservancy project, or the setting experience values of existing similar water conservancy projects can be selected.
[0095] The engineering visualization display module is used to display the monitoring data of each construction structure in each operation scenario and the water body monitoring data of each monitoring in each operation scenario in the form of a chart at the corresponding position of the panoramic model, and update it accordingly according to the update frequency.
[0096] It should be added that when displaying the monitoring data of each construction structure in each operation scenario and the water body monitoring data of each monitoring in each operation scenario in the form of a chart at the corresponding position of the panoramic model, it is necessary to select the appropriate chart type according to the characteristics of the monitoring data. For example, a line chart of displacement data can be displayed next to the displacement monitoring reference point of the dam body, and a pie chart of water quality components can be displayed above the water body monitoring point, and the charts can be clearly labeled, including the physical quantity represented by the coordinate axis, the unit, the time range of the data, and other information, so that users can quickly understand the content expressed by the chart. At the same time, the interactive functions of the chart can also be set, such as zooming in, zooming out, viewing detailed data points, etc., to enhance the user's experience of viewing data.
[0097] It should be added that when the corresponding update frequency of each construction structure monitoring data is carried out, when there is new data update, the original chart data is obtained and replaced in time to achieve dynamic update of the chart, ensuring that the displayed data is always synchronized with the actual project monitoring situation. For example, the dam displacement monitoring data is updated every 10 minutes, and the corresponding displacement line chart will also be automatically refreshed every 10 minutes, so that users can grasp the dynamic changes of the dam in real time. At the same time, when the data is updated, prompt functions such as flashing icons and pop-up prompt boxes can be set to remind users that there is new data to view, so as to pay attention to the latest status of the project in time.
[0098] It should also be added that in addition to displaying real-time updated data, the project visualization display module also has the function of viewing and comparing historical data. Users can select different time intervals to view the data changes of a certain monitoring data access point in the past period of time, and compare it with the current data. Analyzing the trend of data changes is helpful to discover potential problems or evaluate the long-term operation effect of the project, such as comparing the water level changes in the same season in the past few years, judging whether the reservoir's regulation and storage function is normal, and whether the long-term stability of the dam is good.
[0099] The embodiment of the present invention solves the problem of limited data display in the current model by displaying the monitoring data of the construction structure in the form of charts at the corresponding position of the terrain model, fully combines the specific data characteristics, realizes the organic combination of data visualization and engineering model and targeted display design, allows users to intuitively see the data conditions at different locations and the data change trend over time, and updates according to the set update frequency, maintains the synchronization of the display content and the actual engineering status, facilitates timely status analysis and decision-making, and greatly improves the display effect.
[0100] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.
Claims
1. A digital visualization display system for water conservancy project design, characterized in that: The system includes: The project tracking data import module is used to import the geographic information data, measurement data, construction location of each construction structure, structural characteristics and monitoring data under each operation scenario of the water conservancy project site, and import the water body monitoring data under each operation scenario; The engineering 3D model building module is used to build a panoramic model of the area where the water conservancy project is located based on geographic information data and measurement data, build monitoring sub-models of each construction structure according to structural characteristics, and embed them into the panoramic model in sequence according to the corresponding construction locations; The engineering tracking data analysis module is used to analyze the status of water bodies and various construction structures, and output the monitoring requirements of water bodies and various construction structures; A three-dimensional model update setting module is used to perform data update settings and obtain the target monitoring data update frequency of each building structure and water body; A database for storing past meteorological data at the water conservancy project site, storing a list of reference indicators for each construction structure, storing the warning values of each water body monitoring indicator under each operation scenario, and storing the update frequency of the initial setting data of each construction structure and water body; An engineering visualization display module is used to display the monitoring data and water body monitoring data in the form of charts at corresponding positions of the panoramic model, and update them accordingly according to the update frequency; The analyzing of water body status includes: The past meteorological data of the water conservancy project site are extracted from the database, and then the rainfall frequency and cumulative rainfall in each monitoring month corresponding to each monitoring year are extracted, and the environmental compensation factor is set, which is recorded as ; The monitoring values of each monitoring point corresponding to each water body monitoring index are extracted from the water body monitoring data, and a water body change compensation factor is set, which is recorded as , and extract the maximum monitoring value of each water body monitoring indicator at the same time; The warning values of each water body monitoring indicator under each operation scenario are extracted from the database and recorded as , Indicates the running scene number. , Indicates the water body monitoring indicator number, ; The maximum detection value of each water body monitoring index under each operation scenario is recorded as , Indicates the monitoring sequence number. ; Statistical monitoring needs of water bodies , , is a natural constant; The analysis process of each building structure state includes: Extract the monitoring values of each monitoring index in each monitoring point corresponding to each monitoring part at each monitoring time from the monitoring data of each construction structure in each operation scenario; Extracting a reference index list of each building structure from the database, and then extracting reference monitoring values of each monitoring index in each monitoring point corresponding to each monitoring part of each building structure under each operation scenario; Based on the set abnormal marking rules, the number of abnormal markings of each monitoring indicator in each monitoring point corresponding to each monitoring part of each building structure in each operation scenario is counted and recorded as , Indicates the construction structure number, , Indicates the monitoring site number. , Indicates the monitoring point number. , Indicates the monitoring indicator number. ; The monitoring requirements of each building structure are counted and recorded as , , Indicates The analysis weight of each running scenario, , , and They represent the number of operating scenarios, the number of monitoring locations, the number of monitoring points, and the number of monitoring indicators, respectively. Indicates The construction structure is The number of monitoring times in each operation scenario.
2. A digital visualization display system for water conservancy project design as claimed in claim 1, characterized in that: The setting of the environmental compensation factor includes: Divide the number of rainfalls in each monitoring month corresponding to each monitoring year by the number of days in each monitoring month, and record the ratio as the rainfall ratio; The number of monitoring months in which the rainfall ratio exceeds the set reference interference rainfall ratio is counted and divided by the total number of months in a single year to obtain the intensive rainfall month ratio and the annual average intensive rainfall month ratio is calculated; The number of monitoring years in which the ratio of dense rainfall months exceeds the set reference ratio of dense rainfall months is counted and divided by the total number of monitoring years to obtain the ratio of dense rainfall years, which is recorded as ; The monitoring months whose cumulative rainfall exceeds the set reference interference rainfall are recorded as interference rainfall months. The number of interference rainfall months is counted and divided by the total number of months in a single year. The ratio is recorded as the interference rainfall month ratio. The number of monitoring years in which the interference rainfall month ratio exceeds the set interference rainfall month ratio is counted and divided by the total number of monitoring years to obtain the interference rainfall year ratio; According to the statistical method of the average annual intensive rainfall month ratio, the average annual interference rainfall month ratio is calculated in the same way, and the weights of the average annual intensive rainfall month ratio and the average annual interference rainfall month ratio are set. The environmental compensation factor is calculated by weighted average. .
3. A digital visualization display system for water conservancy project design as claimed in claim 2, characterized in that: The statistical annual average ratio of dense rainfall months includes: The average ratio of dense rainfall months in each monitoring year is calculated and recorded as ; The average annual intensive rainfall months , , The ratio of intensive rainfall years is used as a reference.
4. A digital visualization display system for water conservancy project design as claimed in claim 1, characterized in that: The setting of the water body change compensation factor includes: The standard deviation of the monitoring values of the same monitoring point and the same monitoring indicator in each monitoring under the same operation scenario is calculated, and the calculation result is recorded as the time change difference; For the monitoring values of the same monitoring indicator at different monitoring points in the same operation scenario, the standard deviation is calculated and the calculation result is recorded as the position change difference; The target anomaly monitoring position ratio and target anomaly monitoring order ratio were confirmed, and the water body change compensation factor was obtained by mean calculation.
5. A digital visualization display system for water conservancy project design as claimed in claim 4, characterized in that: The confirmation of the target abnormality monitoring position ratio and the target abnormality monitoring order ratio includes: The number of monitoring indicators whose time variation difference of each monitoring point under each operation scenario is greater than the set reference time variation difference is counted and recorded as the number of abnormal time variation indicators; Count the number of monitoring points whose corresponding time-varying abnormal indicators are not 0 in each operation scenario, and divide it by the number of monitoring points. Record the ratio as the abnormal monitoring position ratio, and select the maximum value as the target abnormal monitoring position ratio. Count the number of monitoring indicators whose corresponding position change difference of each monitoring in each operation scenario is greater than the set reference position change, and record it as the number of position change difference indicators; Count the number of monitoring times in which the corresponding position change difference index is not 0 in each operating scenario, and divide it by the total number of corresponding monitoring times. Record the ratio as the abnormal monitoring order ratio, and select the maximum value from it as the target abnormal monitoring order ratio.
6. A digital visualization display system for water conservancy project design as claimed in claim 1, characterized in that: The specific settings of the abnormal marking rules are as follows: Building a monitoring matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The monitoring indicators are The monitoring value at the time of the second monitoring; Constructing a reference monitoring matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point is The reference monitoring value of each monitoring indicator; Construct a difference matrix with the same dimensions as the monitoring data matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The monitoring indicators are The difference between the monitoring values at the second monitoring, and ; Create a labeled anomaly matrix with the same dimensions as the monitoring data matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The monitoring indicators are The abnormal mark value at the time of monitoring, , For setting The construction structure is In the running scenario The first monitoring site The abnormal threshold of monitoring indicators; Create anomaly count statistics matrix , , Indicates The construction structure is In the running scenario The first monitoring site The monitoring point The number of abnormal markings of monitoring indicators, ; Based on the corresponding relationship between matrix dimensions, the abnormal number of statistical matrices The corresponding element value is extracted and recorded as the number of abnormal markings, so as to obtain the number of abnormal markings of each monitoring indicator in each monitoring point corresponding to each monitoring part of each building structure in each operation scenario.
7. A digital visualization display system for water conservancy project design as claimed in claim 1, characterized in that: The data update setting is used to update the monitoring data of each construction structure, including: The frequency of updating the initial setting data of each construction structure extracted from the database; Compare the monitoring requirements of each building structure with the set reference monitoring requirements For comparison, if the monitoring requirement of a certain building structure is less than or equal to the set reference monitoring requirement, the initial setting data update frequency of the building structure is used as its target monitoring data update frequency; If the monitoring requirement of a certain building structure is greater than the set reference monitoring requirement, the initial setting data update frequency and monitoring requirement of the building structure are recorded as and , calculate the target monitoring data update frequency of the construction structure , .
8. A digital visualization display system for water conservancy project design as claimed in claim 1, characterized in that: The data update setting is used to update the water body monitoring data, including: The update frequency of the initial setting data of the water body extracted from the database is denoted as ; Update frequency of target monitoring data for statistical water bodies , , Indicates the setting of reference water body monitoring demand. Indicates The monitoring demand weight value within a seasonal cycle.
Citation Information
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