Three-dimensional design management method and system for hydraulic engineering

Abstract

The invention discloses a three-dimensional design management method and system for a water conservancy project, particularly relates to the technical field of water conservancy project design management, and is used for solving the problem of low water conservancy project three-dimensional design management efficiency. According to the method, the synchronization demand is determined in the three-dimensional design project of the water conservancy project, the data synchronization framework is constructed according to the synchronization demand, and data synchronization and version control are performed according to the constructed data synchronization framework; after data synchronization and version control, data management and integration of a water conservancy project three-dimensional design project are carried out, data cooperation information generated in the data management and integration process is analyzed, different signals are generated according to the analysis result, and if a design synchronization signal is generated, a current data synchronization and management strategy is maintained. And if the design strategy management signal is generated, the data management strategy is re-evaluated and strategy adjustment is carried out, so that the data processing efficiency and accuracy of the three-dimensional design project of the water conservancy project are improved, and the data risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of auxiliary equipment control, and more specifically, to a three-dimensional design management method and system for water conservancy projects. Background Art

[0002] 3D design of water conservancy projects refers to the use of advanced 3D modeling and simulation technologies to create and manage the design and construction process of water conservancy projects, thereby providing more accurate project visualization, improving design accuracy, optimizing construction methods, and enhancing project feasibility and safety.

[0003] Deficiencies of existing technologies: In the field of 3D design and management of water conservancy projects, although existing technologies can already support complex design tasks, there are still some obvious limitations, especially in multi-location and multi-team project collaboration and data sharing. Traditional 3D design tools usually rely on local servers or personal computers for data storage and processing, resulting in multiple team members being unable to access and modify the same design file in real time, causing delays in information transmission, increasing project cycles and coordination costs, and when sharing and updating 3D design data between different teams and professionals, version control and data consistency issues are prone to occur, leading to design errors and project delays, which in turn causes delays in water conservancy projects. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a method and system for three-dimensional design management of water conservancy projects to solve the problem of low efficiency of three-dimensional design management of water conservancy projects mentioned in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A three-dimensional design management method for water conservancy projects comprises the following steps:

[0007] Determine the synchronization requirements in the 3D design project of water conservancy projects, build a data synchronization framework based on the synchronization requirements, and perform data synchronization and version control based on the constructed data synchronization framework;

[0008] After data synchronization and version control, carry out data management and integration of water conservancy project 3D design projects, and analyze the data collaboration information generated in the data management and integration process;

[0009] Different signals are generated based on the results of data collaborative information analysis. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted.

[0010] In a preferred embodiment, synchronization requirements are determined in a water conservancy project three-dimensional design project, a data synchronization framework is constructed according to the synchronization requirements, and data synchronization and version control are performed according to the constructed data synchronization framework. The specific process is as follows:

[0011] Collect data sources and list all data types that need to be synchronized, including 3D model data, attribute information, and configuration settings;

[0012] Divide the data into different categories, including model structure data, user operation logs, and real-time monitoring data;

[0013] Determine the frequency of data synchronization, set the synchronization frequency for different types of data, and develop specific synchronization strategies based on the importance and update frequency of the data;

[0014] Prioritize data synchronization based on relationships and dependencies between data;

[0015] Design a synchronization framework and integrate the data synchronization priority into the synchronization framework. Updates to data items are captured by the data monitoring component of the synchronization framework. The updates are analyzed by the priority adjustment engine within the synchronization framework, and the priority of data items is adjusted according to preset rules. The data synchronization service within the synchronization framework synchronizes data based on the adjusted priority.

[0016] In a preferred embodiment, the data synchronization frequency is determined, the synchronization frequency is set for different types of data, and a specific synchronization strategy is formulated based on the importance and update frequency of the data. The specific process is as follows:

[0017] Analyze the data update frequency. Determine the update frequency of each type of data through historical data analysis or real-time monitoring. For dynamically changing data, record the change frequency and amount. For static or seldom changing data, record the update cycle.

[0018] Based on the importance and update frequency of data, formulate specific synchronization strategies, including real-time synchronization, on-demand synchronization, and scheduled synchronization;

[0019] Set the synchronization interval, synchronization window, and data verification for each synchronization strategy.

[0020] In a preferred embodiment, the priority of data synchronization is set according to the relationship and dependency between data. The specific process is as follows:

[0021] Carry out dependency mapping, create data dependency graphs, and identify the dependencies between different data;

[0022] Prioritize data items based on the number of upstream dependent data and the amount of downstream data.

[0023] In a preferred embodiment, after data synchronization and version control, data management and integration of the three-dimensional design project of the water conservancy project are carried out, and the data collaboration information generated in the data management and integration process is analyzed. The specific process is as follows:

[0024] Data coordination information includes synchronous response information and verification stability information;

[0025] The synchronization response information includes the data synchronization delay index, and the verification stability information includes the data consistency verification rate;

[0026] The obtained data synchronization delay index and data consistency verification rate are jointly calculated to obtain the design management coefficient.

[0027] In a preferred embodiment, the data synchronization delay index is obtained as follows:

[0028] Obtain the number of data conversion steps BZ and the amount of computation required for data verification and correction YS, calculate the processing complexity, and the calculation expression is: FZ = log (BZ * YS + 1), and obtain the receiving time T of sending the i-th data packet on the target system rece，i The time T when the i-th data packet is sent from the source system sent，i , calculate the network delay as: L net，i =T rece，i -T sent，i , obtain the amount of network activity other than data synchronization as the additional network traffic EL, and obtain the CPU, memory, and disk usage when sending data packets for the i-th time, which are L CPU，i , L Mem，i , L Disk，i , calculate the system resource usage, the calculation expression is: Where n is the total number of synchronizations. The data synchronization delay index is calculated using the following expression:

[0029] In a preferred embodiment, the data consistency verification rate is obtained as follows:

[0030] Get the results of consistency verification of each data item in all systems JG, JG j BG represents the result of consistency verification of the jth data item in all systems, obtains the number of updates CS of each data item within a given time window T, and calculates the change frequency of the data line. The calculation expression is: j =CS j / T, where CS j Indicates the update times of the jth data item, BG j Indicates the change frequency of the jth data item, and obtains the number of dependent data items of data item j D jand the structural complexity value S of data item j j , calculate the complex value of the data item: FZ j =D j *S j , based on the complexity of the data item and the frequency of change, the adjustment value is calculated using the following expression: Calculate the data consistency verification rate, the calculation expression is:

[0031] In a preferred embodiment, different signals are generated according to the data collaboration information analysis results. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted. The specific process is as follows:

[0032] Obtaining a design management coefficient obtained by the joint calculation, and comparing the design management coefficient with a synchronous design threshold;

[0033] If the design management coefficient is greater than or equal to the synchronization design threshold, a design synchronization signal is generated to maintain the current data synchronization and management strategy;

[0034] If the design management coefficient is less than the synchronous design threshold, a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted.

[0035] A three-dimensional design management system for water conservancy projects, used to implement the above-mentioned three-dimensional design management method for water conservancy projects, comprising:

[0036] A synchronization framework construction module is used to determine synchronization requirements in a water conservancy project 3D design project, build a data synchronization framework based on the synchronization requirements, and perform data synchronization and version control based on the built data synchronization framework;

[0037] The data integration module is used to manage and integrate the data of the 3D design project of water conservancy projects after data synchronization and version control, and to analyze the data collaboration information generated in the data management and integration process;

[0038] The design management module is used to generate different signals according to the results of data collaboration information analysis. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted.

[0039] Technical effects and advantages of the present invention:

[0040] The present invention first constructs an efficient data synchronization framework according to the specific synchronization requirements of the project. The framework not only supports real-time synchronization of data, but also includes a powerful version control system to ensure the accuracy and consistency of all design data. Subsequently, a comprehensive data management and integration process is implemented, which uses advanced data integration technology to optimize data collaboration between systems; by continuously monitoring and analyzing the generated data collaboration information, different management signals can be intelligently generated, which guide the project team to make strategic adjustments and improve the flexibility and response speed of project management. If a design synchronization signal is generated, it indicates that the current data synchronization and management strategy has been running efficiently, and the project will maintain the existing strategy; if a design strategy management signal is generated, it indicates that the project management strategy needs to be re-evaluated and adjusted to ensure that the data synchronization strategy is consistent with the project requirements, thereby solving potential data management problems, improving the data processing efficiency and accuracy of the three-dimensional design project of water conservancy projects, ensuring a high degree of data consistency, and reducing the risk of design errors caused by inconsistent data. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The present invention is a flow chart of a three-dimensional design management method for water conservancy projects.

[0042] Figure 2 The present invention is a structural schematic diagram of a three-dimensional design management system for water conservancy projects. DETAILED DESCRIPTION

[0043] 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.

[0044] Example 1: Figure 1 As shown, a three-dimensional design management method for water conservancy projects includes the following steps:

[0045] Determine the synchronization requirements in the 3D design project of water conservancy projects, build a data synchronization framework based on the synchronization requirements, and perform data synchronization and version control based on the constructed data synchronization framework;

[0046] After data synchronization and version control, carry out data management and integration of water conservancy project 3D design projects, and analyze the data collaboration information generated in the data management and integration process;

[0047] Different signals are generated based on the results of data collaborative information analysis. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted.

[0048] Determine the synchronization requirements in the 3D design project of water conservancy projects, and design a data synchronization framework based on the actual business synchronization requirements to meet the data consistency and real-time requirements of all key aspects. The specific steps are as follows:

[0049] Collect data sources and list all data types that need to be synchronized, including 3D model data, attribute information, configuration settings, etc.

[0050] Classify data into different categories, such as model structure data, user operation logs, real-time monitoring data, etc.

[0051] Identify key data and pay attention to data that is important to the project, such as design changes, parameter updates, etc.;

[0052] Determine the data synchronization frequency and set the appropriate synchronization frequency for different types of data, as follows:

[0053] Analyze the data update frequency, determine the update frequency of each data type, and determine the real-time and delayed synchronization requirements of data;

[0054] Evaluate the update frequency of each type of data through historical data analysis or real-time monitoring. For dynamically changing data (such as design parameters), record its change frequency and change amount. For static or rarely changing data (such as user configuration information), record its update cycle.

[0055] Evaluate the impact of different data updates on project progress and quality, and determine the potential impact of data update delays on system performance;

[0056] Formulate synchronization strategies. Based on the importance and update frequency of data, formulate specific synchronization strategies, such as real-time synchronization, on-demand synchronization, and scheduled synchronization. For example, for frequently changing design parameters, real-time synchronization may be required; for user configuration information that does not change frequently, it can be set to on-demand synchronization or scheduled synchronization;

[0057] Set technical parameters and requirements for each synchronization strategy, such as synchronization interval, synchronization window, data verification, etc.;

[0058] For high-priority data such as critical design parameters and real-time monitoring data, implement real-time synchronization, using technologies such as WebSocket or long polling to ensure that data updates are transmitted to all endpoints without delay;

[0059] For data that is rarely updated or has a low priority, such as user configuration or parameters that rarely change, on-demand synchronization is used. The implementation mechanism ensures that when a user accesses the data, the latest status of the data is first checked and updated;

[0060] For periodically updated data, such as log information or periodic reports, scheduled synchronization can be implemented by setting a scheduled task (such as using a Cron job) to synchronize data at a set time;

[0061] Analyze data dependencies and priorities. That is, by analyzing the dependencies between data, ensure that these dependencies are taken into account when synchronizing data. For example, the update of design parameters may depend on previous user input. Set priorities based on the business importance and dependencies of the data, as follows:

[0062] By determining the relationship and dependency between data and setting priorities for data synchronization accordingly, it ensures that data with high dependency is processed first during data processing and synchronization, thus avoiding data inconsistency issues.

[0063] Carry out dependency mapping and create data dependency graphs to identify the dependencies between different data. For example, a design parameter may depend on the calculation result of another parameter. The nodes and edges in graph theory can be used to represent data and dependencies.

[0064] Priority rule definition, defines priority based on dependency relationships. The priority of a data item can be determined by the number of its upstream dependent data (in-degree) and the number of downstream data (out-degree). The expression is: P(x) = α·I(x)+β·O(x), where P(x) is the priority of data item x, I(x) is the number of data items that depend on x, O(x) is the number of data items that x depends on, and α and β are adjustment parameters used to adjust the influence of in-degree and out-degree according to business needs;

[0065] Calculate the priority of each data item and give priority to data items with high priority, especially key data that multiple other data items depend on;

[0066] Monitor the actual situation of data updates and dynamically adjust the priority based on the actual impact of data updates. If it is found that the actual impact of certain data is greater than expected, its priority can be increased; otherwise, it can be lowered;

[0067] Integrate it into the synchronization framework to ensure that the data synchronization framework can identify and use this priority information and synchronize data in order of priority.

[0068] Synchronization framework design, synchronization framework component design includes data monitoring components, priority adjustment engine and data synchronization service;

[0069] Data monitoring component, responsible for monitoring the data update frequency and the actual impact of dependencies. This information will be used to dynamically adjust the priority of data items.

[0070] The priority adjustment engine dynamically adjusts priorities based on monitored data and business rules. The adjustment rules can be based on actual update impact, user feedback, or predetermined business rules.

[0071] The data synchronization service manages the push and update of data based on priority information, ensuring that high-priority data is synchronized first;

[0072] The application process of the synchronization framework is as follows: the updates of data items are captured by the data monitoring component, the priority adjustment engine analyzes these updates, adjusts the priority of data items according to preset rules, and the data synchronization service synchronizes data according to the adjusted priority. It uses message queues (such as Apache Kafka) to process and transmit data update events, and uses database triggers or CDC (Change Data Capture) technology to monitor data changes, and triggers priority adjustments regularly or based on events.

[0073] 3D design data change capture, which captures all changes to 3D design data so that these changes can be synchronized to all relevant systems and team members in real time;

[0074] Use change data capture (CDC) technology at the database level or event monitoring at the application level;

[0075] Identify different types of data changes that need to be captured, including design parameter changes, model structure modifications, configuration updates, etc., and define triggers or events for each data type and operation, and set triggers in the database to automatically record changes when key data tables are updated;

[0076] Data synchronization algorithm is implemented to ensure that all changes in the 3D design of water conservancy projects are synchronized to all clients and storage systems in a timely manner;

[0077] Determine the update frequency and synchronization sensitivity of 3D design data, identify the real-time data synchronization requirements, and select data synchronization algorithms suitable for project requirements, such as vector clocks, operation conversion algorithms, etc.

[0078] The steps of the vector clock algorithm are:

[0079] Initialize the vector clock. Each node (such as a server or client) maintains a vector clock. Each element of the vector represents the logical time of each node in the system. VC = [0, 0, ..., 0]. In the initial state, the vector clocks of all nodes are set to zero.

[0080] Whenever a node executes or receives an event, its vector clock is updated. For local events: VC i =VC i +1 for the received event: VC j =max(VC j , VC j '), where VC j ' is the vector clock for receiving events, VC i Represents i local events, VC j represents j received events;

[0081] Comparing vector clocks, event p occurs before or simultaneously with event q if and only if for all vectors VC(p) ≤ VC(q), if VC(p) is not greater than VC(q) in all dimensions.

[0082] If the vector clocks of two events cannot be directly compared (i.e., the two vector clocks are concurrent), a specific strategy (such as based on node priority) is adopted to resolve the conflict.

[0083] In the 3D design management of water conservancy projects, efficient 3D design data synchronization ensures that all team members have access to the latest 3D design data, thereby reducing the risk of information lag or misunderstanding. Concurrent editing management enables multiple users to edit the same design element simultaneously without conflict through the operation of conversion algorithms and vector clocks, enhancing the fluency of team collaboration and reducing the need for manual data management, allowing project teams to better utilize time and resources to focus on core design and engineering tasks.

[0084] In the 3D design project of water conservancy projects, after achieving real-time data synchronization and version control, data management and integration are required. The data management and integration process needs to rely on the real-time synchronization mechanism to ensure the consistency and timeliness of data between different systems. When integrating complex data systems, version control manages different versions of data to ensure the accuracy and completeness of the integrated data.

[0085] In the data management and integration process of the 3D design project of water conservancy projects, ensure the consistency and timeliness of data between different systems, and analyze the data collaboration information generated in the data management and integration process. The data collaboration information includes synchronization response information and verification stability information. The synchronization response information includes the data synchronization delay index and is calibrated as DSL I. The verification stability information includes the data consistency verification rate and is calibrated as DCVR.

[0086] The Data Synchronization Delay Index in the Synchronization Response Information is used to measure the time required for the 3D design data updates made in the source design system to be transmitted to all target systems (such as simulation, analysis and project management tools).

[0087] The Data Synchronization Delay Index directly reflects the time it takes from when design changes occur in the source system (such as CAD tools) to when these changes are updated in various related systems. This helps to evaluate the efficiency of data flow and ensure that all team members have access to the latest project data;

[0088] By tracking the data synchronization delay index, project managers can monitor the performance of water conservancy project design systems, especially in data-intensive environments with high demand for real-time updates. This can help identify system bottlenecks such as network latency, processing power, or the efficiency of data processing algorithms;

[0089] The data synchronization delay index has an effect on the following aspects;

[0090] Improved project coordination: Low data synchronization latency means that design changes can be quickly seen by all stakeholders, which is especially important for large-scale water conservancy projects with multiple teams and multiple locations;

[0091] Enhance design quality and safety: Timely data synchronization ensures that all design decisions are based on the latest information, helping to improve design accuracy and engineering safety.

[0092] The data synchronization delay index is obtained as follows:

[0093] Obtain the number of data conversion steps BZ and the amount of computation required for data verification and correction YS, calculate the processing complexity, and the calculation expression is: FZ = log (BZ * YS + 1), and obtain the receiving time T of sending the i-th data packet on the target system rece，i The time T when the i-th data packet is sent from the source system sent，i , calculate the network delay as: L net，i =T rece，i -T sent，i , obtain the amount of network activity other than data synchronization as the additional network traffic EL, and obtain the CPU, memory, and disk usage when sending data packets for the i-th time, which are L CPU，i , L Mem，i , L Disk，i , calculate the system resource utilization rate, the calculation expression is: SYL = Where n is the total number of synchronizations. The data synchronization delay index is calculated using the following expression:

[0094] It should be noted that the number of data conversion steps involves the number of each independent operation in the entire data processing process. By analyzing and documenting the data processing process, each conversion step that the data undergoes from input to output is taken as the number of data conversion steps, including data cleaning, formatting, unit conversion, range adjustment, etc.; the amount of computational effort for data validation and correction depends on the complexity of the implemented validation rules and the size of the data set. The time required to process a specific amount of data is actually measured when the system is running. By changing the size of the data, the average amount of computational effort for processing each data point can be estimated; additional network traffic is estimated by the network bandwidth usage during synchronization recorded by the network monitoring system.

[0095] The data consistency verification rate in the verification stability information is used to measure the degree of data consistency between different systems and modules. The data consistency verification rate indicates the proportion of data consistency between these systems after data synchronization is completed in all related systems. Specifically, the data consistency verification rate measures the consistency of the structure, content and time of the data displayed by each system after all data synchronization and update operations. The data consistency verification rate has the following functions:

[0096] Improve design accuracy and reliability: In the 3D design of water conservancy projects, ensuring the consistency of all design-related data is crucial to maintaining the accuracy and reliability of the design. A high data consistency verification rate means that the data is highly consistent in each system, thereby reducing design errors caused by data errors.

[0097] Optimize collaboration and communication: Water conservancy projects usually involve multiple teams and professional fields. High data consistency verification rate ensures that all team members work based on the same data set, which is very important for enhancing collaboration and communication between teams.

[0098] Support fast decision-making: Project management and operational decisions often rely on the latest and consistent data. A high value of the data consistency verification rate indicates that data is synchronized quickly and accurately between systems, supporting management to make fast decisions based on the latest data;

[0099] The data consistency verification rate is obtained as follows:

[0100] Get the results of consistency verification of each data item in all systems JG, JG j BG represents the result of consistency verification of the jth data item in all systems, obtains the number of updates CS of each data item within a given time window T, and calculates the change frequency of the data line. The calculation expression is: j =CS j / T, where CS j Indicates the update times of the jth data item, BG j Indicates the change frequency of the jth data item, and obtains the number of dependent data items of data item j Dj and the structural complexity value S of data item j j , calculate the complex value of the data item: FZ j =D j *S j , based on the complexity of the data item and the frequency of change, the adjustment value is calculated using the following expression: Calculate the data consistency verification rate, the calculation expression is:

[0101] It should be noted that the result of the consistency verification of the data item in all systems is 1 if it is completely consistent, otherwise it is 0; the structural complexity value is a quantitative complexity score based on the structural characteristics of the data item, such as the diversity of data types, the depth of hierarchical relationships, etc.

[0102] The obtained data synchronization delay index and data consistency verification rate are calculated jointly to obtain the design management coefficient, which is expressed as follows: In the formula, S x is the design management coefficient, α and β are the preset proportional coefficients of the data synchronization delay index DSLI and the data consistency verification rate DCVR, and α and β are both greater than 0.

[0103] It should be noted that the size of the preset proportional coefficient is a specific value obtained by quantifying each parameter. In order to facilitate subsequent comparison, the size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding preset proportional coefficient for each set of sample data by technical personnel in this field. It is not unique, as long as it does not affect the proportional relationship between the parameter and the quantized value, just as the data consistency verification rate is proportional to the design management coefficient.

[0104] The smaller the data synchronization delay index and the greater the data consistency verification rate, that is, the greater the performance value of the design management coefficient, it shows that when conducting the three-dimensional design project management of water conservancy projects, the management efficiency and effect in data processing and synchronization are very good, which can effectively support the smooth progress of the project;

[0105] A lower data synchronization delay index indicates that the data is synchronized quickly from the source point to the target point with low latency, which is particularly important for engineering projects that require real-time data updates; while a higher data consistency verification rate indicates that the consistency and accuracy of data between different systems and platforms are well guaranteed, which is the key to ensuring the quality of water conservancy project design and reducing errors;

[0106] The larger the data synchronization delay index is and the smaller the data consistency verification rate is, that is, the smaller the performance value of the design management coefficient is, it indicates that there are a series of potential problems and challenges in the 3D design management process of water conservancy projects, which may have an adverse impact on the overall efficiency and results of 3D design management of water conservancy projects;

[0107] An increased data synchronization delay index indicates that data is being synchronized slowly from source to target, with large delays. This may be caused by network delays, insufficient system processing capacity, or inefficient data processing processes. Design and decision-making may be based on outdated data, leading to wrong decisions and design errors, increasing the need for rework and revisions, and thus increasing project costs and delaying project progress.

[0108] The reduced data consistency verification rate indicates that the data consistency between different systems is poor, that is, the data between systems does not match or the error rate is high. Data inconsistency may lead to design errors, increase project risks, and affect engineering quality and safety. In addition, trust and communication efficiency between team members may be reduced because team members cannot rely on the data in the system to support the work of each team member;

[0109] Therefore, a low design management coefficient is a warning signal, prompting project managers and teams to seriously consider data management strategies, identify existing problems and take effective measures to improve them. By improving the efficiency and consistency of data synchronization, the overall performance of design management can be significantly improved, ensuring that the project proceeds smoothly according to high standards.

[0110] The generated design management coefficient is compared with the synchronous design threshold to generate different management signals, and different strategies are used to adjust the three-dimensional design management strategy of the water conservancy project according to the generated management signals;

[0111] After obtaining the design management coefficient, the design management coefficient is compared with the synchronous design threshold;

[0112] If the design management coefficient is greater than or equal to the synchronization design threshold, a design synchronization signal is generated, indicating that the collaboration between behavior monitoring and energy consumption management is very effective, maintaining the current data synchronization and management strategy, monitoring continues to maintain high efficiency, ensuring continuity, and the data management strategy is appropriate, able to quickly process and transmit updates to meet project needs. Data consistency in water conservancy projects is well maintained. Data is consistent across design platforms and departments, ensuring that all team members work based on the latest and accurate information, thereby reducing errors and misunderstandings;

[0113] If the design management coefficient is less than the synchronous design threshold, a design strategy management signal is generated, indicating that the project has problems in data management and synchronization, which requires attention and immediate action to correct or optimize. This signal is a warning, prompting the project management team to take specific measures to improve the effectiveness of data synchronization and consistency;

[0114] The generation of design strategy management signals indicates that data synchronization between systems is slow, resulting in delayed information updates. This may be due to technical limitations, network problems, or improper synchronization strategies. Design decisions may be based on outdated data, which affects the accuracy of the design and the progress of the project. The existing data management strategy may not be sufficient to support project needs and requires re-evaluation and strategy adjustment.

[0115] When the design strategy management signal is generated, a series of strategy adjustments are needed to solve the existing problems, thereby improving the efficiency and effectiveness of the three-dimensional design management of water conservancy projects, as follows:

[0116] Evaluate whether existing data synchronization technologies and tools are suitable for project needs, whether there are technical limitations or defects, review data management and synchronization processes, and identify bottlenecks or inefficiencies in the process;

[0117] If technical facilities are limiting factors, consider upgrading network equipment and servers or adopting more efficient databases and synchronization software. Adjust the frequency and timing of data synchronization based on the importance and update frequency of the data to ensure real-time updates of key data. For large data sets, implement incremental synchronization instead of full synchronization to reduce network burden and improve synchronization efficiency.

[0118] Continuously monitor the performance of data synchronization and consistency, promptly identify and resolve emerging problems, and regularly evaluate and adjust data management strategies based on team feedback and project development needs;

[0119] Through the above-mentioned strategy adjustment, the efficiency and consistency of data synchronization can be effectively improved, providing strong support for the success of the 3D design project of water conservancy projects. The above-mentioned measures can not only solve short-term data management problems, but also bring long-term management optimization and efficiency improvement to the project.

[0120] It should be noted that the setting of the synchronization design threshold can be determined according to specific scenarios and needs, and is usually adjusted and optimized based on factors such as historical data and real-time data.

[0121] The present invention first constructs an efficient data synchronization framework according to the specific synchronization requirements of the project. The framework not only supports real-time synchronization of data, but also includes a powerful version control system to ensure the accuracy and consistency of all design data. Subsequently, a comprehensive data management and integration process is implemented, which uses advanced data integration technology to optimize data collaboration between systems; by continuously monitoring and analyzing the generated data collaboration information, different management signals can be intelligently generated, which guide the project team to make strategic adjustments and improve the flexibility and response speed of project management. If a design synchronization signal is generated, it indicates that the current data synchronization and management strategy has been running efficiently, and the project will maintain the existing strategy; if a design strategy management signal is generated, it indicates that the project management strategy needs to be re-evaluated and adjusted to ensure that the data synchronization strategy is consistent with the project requirements, thereby solving potential data management problems, improving the data processing efficiency and accuracy of the three-dimensional design project of water conservancy projects, ensuring a high degree of data consistency, and reducing the risk of design errors caused by inconsistent data.

[0122] Embodiment 2: This embodiment is a system embodiment of embodiment 1, which is used to implement a three-dimensional design management method for water conservancy projects introduced in embodiment 1. Figure 2 As shown, specifically including:

[0123] A three-dimensional design management system for water conservancy projects, used to implement the above-mentioned three-dimensional design management method for water conservancy projects, comprising:

[0124] A synchronization framework construction module is used to determine synchronization requirements in a water conservancy project 3D design project, build a data synchronization framework based on the synchronization requirements, and perform data synchronization and version control based on the built data synchronization framework;

[0125] The data integration module is used to manage and integrate the data of the 3D design project of water conservancy projects after data synchronization and version control, and to analyze the data collaboration information generated in the data management and integration process;

[0126] The design management module is used to generate different signals according to the results of data collaboration information analysis. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted.

[0127] The above formulas are all dimensionless and calculated numerically. Specific dimension removal can be achieved by various means such as standardization, which will not be elaborated here. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0128] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, an ATA hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state ATA hard disk.

[0129] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0130] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0131] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0132] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0133] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0134] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A three-dimensional design management method for water conservancy projects, characterized in that: The steps include: Determine the synchronization requirements in the 3D design project of water conservancy projects, build a data synchronization framework based on the synchronization requirements, and perform data synchronization and version control based on the constructed data synchronization framework; After data synchronization and version control, carry out data management and integration of water conservancy project 3D design projects, and analyze the data collaboration information generated in the data management and integration process; Different signals are generated based on the results of data collaborative information analysis. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted.

2. A three-dimensional design management method for water conservancy projects according to claim 1, characterized in that: In the 3D design project of water conservancy projects, the synchronization requirements are determined, a data synchronization framework is constructed according to the synchronization requirements, and data synchronization and version control are performed according to the constructed data synchronization framework. The specific process is as follows: Collect data sources and list all data types that need to be synchronized, including 3D model data, attribute information, and configuration settings; Divide the data into different categories, including model structure data, user operation logs, and real-time monitoring data; Determine the frequency of data synchronization, set the synchronization frequency for different types of data, and develop specific synchronization strategies based on the importance and update frequency of the data; Prioritize data synchronization based on relationships and dependencies between data; Design a synchronization framework and integrate the data synchronization priority into the synchronization framework. Updates to data items are captured by the data monitoring component of the synchronization framework. The updates are analyzed by the priority adjustment engine within the synchronization framework, and the priority of data items is adjusted according to preset rules. The data synchronization service within the synchronization framework synchronizes data based on the adjusted priority.

3. A three-dimensional design management method for water conservancy projects according to claim 2, characterized in that: Determine the data synchronization frequency, set the synchronization frequency for different types of data, and formulate a specific synchronization strategy based on the importance and update frequency of the data. The specific process is as follows: Analyze the data update frequency. Determine the update frequency of each type of data through historical data analysis or real-time monitoring. For dynamically changing data, record the change frequency and amount. For static or seldom changing data, record the update cycle. Based on the importance and update frequency of data, formulate specific synchronization strategies, including real-time synchronization, on-demand synchronization, and scheduled synchronization; Set the synchronization interval, synchronization window, and data verification for each synchronization strategy.

4. A three-dimensional design management method for water conservancy projects according to claim 3, characterized in that: Prioritize data synchronization based on the relationships and dependencies between data. The specific process is as follows: Carry out dependency mapping, create data dependency graphs, and identify the dependencies between different data; Prioritize data items based on the number of upstream dependent data and the amount of downstream data.

5. A three-dimensional design management method for water conservancy projects according to claim 4, characterized in that: After data synchronization and version control, the data management and integration of the 3D design project of the water conservancy project are carried out, and the data collaboration information generated in the data management and integration process is analyzed. The specific process is as follows: Data coordination information includes synchronous response information and verification stability information; The synchronization response information includes the data synchronization delay index, and the verification stability information includes the data consistency verification rate; The obtained data synchronization delay index and data consistency verification rate are jointly calculated to obtain the design management coefficient.

6. A three-dimensional design management method for water conservancy projects according to claim 5, characterized in that: The data synchronization delay index is obtained as follows: Obtain the number of data conversion steps BZ and the amount of computation required for data verification and correction YS, calculate the processing complexity, and the calculation expression is: FZ = log (BZ * YS + 1), and obtain the receiving time T of sending the i-th data packet on the target system rece，i The time T when the i-th data packet is sent from the source system sent，i , calculate the network delay as: L net，i =T rece，i -T sent，i , obtain the amount of network activity other than data synchronization as the additional network traffic EL, and obtain the CPU, memory, and disk usage when sending data packets for the i-th time, which are L CPU，i , L Mem，i , L Disk，i , calculate the system resource usage, the calculation expression is: Where n is the total number of synchronizations. The data synchronization delay index is calculated using the following expression:

7. A three-dimensional design management method for water conservancy projects according to claim 6, characterized in that: The data consistency verification rate is obtained as follows: Get the results of consistency verification of each data item in all systems JG, JG j BG represents the result of consistency verification of the jth data item in all systems, obtains the number of updates CS of each data item within a given time window T, and calculates the change frequency of the data line. The calculation expression is: j =CS j / T, where CS j Indicates the update times of the jth data item, BG j Indicates the change frequency of the jth data item, and obtains the number of dependent data items of data item j D j and the structural complexity value S of data item j j , calculate the complex value of the data item: FZ j =D j *S j , the adjustment value is calculated based on the complexity of the data item and the frequency of change. The calculation expression is: Calculate the data consistency verification rate, the calculation expression is:

8. A three-dimensional design management method for water conservancy projects according to claim 7, characterized in that: Different signals are generated based on the data collaboration information analysis results. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted. The specific process is as follows: Obtaining a design management coefficient obtained by the joint calculation, and comparing the design management coefficient with a synchronous design threshold; If the design management coefficient is greater than or equal to the synchronization design threshold, a design synchronization signal is generated to maintain the current data synchronization and management strategy; If the design management coefficient is less than the synchronous design threshold, a design strategy management signal is generated, the data management strategy is re-evaluated, and the strategy is adjusted.

9. A three-dimensional design management system for water conservancy projects, used to implement a three-dimensional design management method for water conservancy projects as claimed in any one of claims 1 to 8, characterized in that: include: A synchronization framework construction module is used to determine synchronization requirements in a water conservancy project 3D design project, build a data synchronization framework based on the synchronization requirements, and perform data synchronization and version control based on the built data synchronization framework; The data integration module is used to manage and integrate the data of the 3D design project of water conservancy projects after data synchronization and version control, and to analyze the data collaboration information generated in the data management and integration process; The design management module is used to generate different signals according to the results of data collaboration information analysis. If a design synchronization signal is generated, the current data synchronization and management strategy is maintained. If a design strategy management signal is generated, the data management strategy is re-evaluated and the strategy is adjusted.

Images