Hydraulic engineering comprehensive operation cockpit system

Abstract

The invention relates to the technical field of hydraulic engineering comprehensive operation cockpits, in particular to a hydraulic engineering comprehensive operation cockpit system which comprises a twin reservoir module, a comprehensive monitoring module, a comprehensive information inquiry module and a comprehensive early warning module. Comprehensive digital mapping of a complex water conservancy system is realized, high simulation of a water conservancy scene is ensured by fusing a high-precision surveying and mapping technology, a GIS geographic information system, multi-source heterogeneous data fusion and a data lightweight processing technology, rapid transmission and processing of mass data are supported, and the method is suitable for large-scale popularization and application. The method can adapt to continuously increasing data requirements and technical iteration in the future; the real-time rainfall monitoring function supports the operations of condition screening query, chart switching display, query result export and the like, and visual safety early warning information is provided for personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated operation cockpits for water conservancy projects, and particularly to a system for an integrated operation cockpit of a water conservancy project. Background Technique

[0002] The integrated operation cockpit for water conservancy projects is a system integrating monitoring and decision-making support functions, aiming to monitor, analyze, and optimize the operation of water conservancy projects in real time. This system integrates multiple data sources and technologies to assist managers and decision-makers in efficiently conducting water resource scheduling, prediction, monitoring, and emergency management. The cockpit integrates data from different monitoring devices (such as water level sensors, flow meters, weather stations, etc.) in real time to form a unified data source. This data covers various information such as water level, flow rate, precipitation, soil moisture, air temperature, etc. Through visualization tools such as charts, maps, and dashboards, the cockpit can display the operation status of water conservancy projects in real time, enabling managers to intuitively grasp key information such as water levels, flow rates, and meteorological conditions in different regions. It can track the equipment status of water conservancy projects in real time, such as the operation status of facilities such as pumping stations, gates, and reservoirs, and promptly detect equipment failures or anomalies. Through real-time data analysis, the cockpit can predict potential disasters such as extreme weather, floods, and droughts and issue early warnings. The system reveals possible risks in advance based on historical data, meteorological forecasts, and water resource models. When key indicators (such as the water level exceeding the preset threshold) are abnormal, the system automatically triggers an alarm to prompt managers to take timely measures. During disasters, the cockpit assists managers in quickly making emergency decisions, adjusting the water resource flow rate through an automated scheduling system or performing start-stop operations on facilities to mitigate the impact of disasters. The integrated operation cockpit integrates multiple water resource management models (such as reservoir scheduling models, basin water resource models, etc.), and can automatically optimize the water resource scheduling plan according to the current hydrometeorological conditions and historical data to ensure the efficient use of water resources. Combining machine learning and big data analysis technologies, the cockpit helps decision-makers make scientific judgments based on real-time data. For example, predicting the precipitation in the next few days based on meteorological data, adjusting the reservoir water storage strategy, and optimizing the reservoir flood discharge plan, etc. The cockpit can conduct economic analysis based on parameters such as resource usage, facility operation costs, and benefits to help managers formulate more scientific operation plans. The cockpit system can share data and work collaboratively with relevant departments (such as meteorological departments, water resource management departments, local governments, etc.) to improve decision-making efficiency. For cross-regional water resource scheduling, the cockpit can collect water conservancy facility data from different regions for coordination and scheduling. For example, cross-basin water resource scheduling, cross-regional emergency responses, etc. can all be collaboratively managed through the cockpit system.

[0003] The cockpit has the function of storing historical data, which is convenient for managers to conduct historical reviews and trend analyses. For example, by analyzing the water resource utilization in the past few years, seasonal patterns and trends can be identified to optimize future scheduling plans. Combining big data and machine learning algorithms, the cockpit can not only conduct real-time monitoring but also predict future water resource demands and meteorological change trends, enabling adjustments to be made in advance. The system usually sets different user permissions, and managers can access different functions according to different roles and requirements. For example, operators can view real-time data, decision-makers can optimize scheduling, and experts can view detailed model analysis results. The system automatically generates reports or alerts based on the set warning thresholds, and managers can view the analysis results or generate reports such as daily reports and monthly reports with one click in the cockpit. By monitoring data such as water levels, flows, and precipitation, it helps reservoirs achieve dynamic scheduling, avoiding dam breaches or over-discharging. Optimize agricultural irrigation, rationally allocate water resources, improve irrigation efficiency, and reduce waste. Flood prevention and control: Combine meteorological warnings and real-time water level data to deploy flood prevention measures in advance and avoid large-scale disasters. Reasonably allocate water resources among multiple water conservancy project facilities to ensure the normal operation of each project. By analyzing data such as soil moisture and precipitation, detect drought risks early and rationally arrange the scheduling and allocation of water resources. Ensure the high precision of monitoring equipment and the low latency of data transmission for real-time response. With the development of technology, new devices and sensors are emerging continuously, and the cockpit system needs to have good scalability to integrate more data sources and devices. Improve the automation and intelligence level of the system, especially enhance the application of big data analysis and artificial intelligence algorithms in decision support. Ensure that the system interface is simple and intuitive for users at different levels to operate.

[0004] The integrated operation cockpit for water conservancy projects significantly improves the management efficiency and emergency response capabilities of water conservancy facilities by integrating functions such as real-time data, intelligent analysis and decision support, and cross-departmental collaboration. With the continuous progress of technology, the cockpit will be more intelligent and automated in the future and be able to optimize the scheduling of water resources and issue disaster warnings in more complex environments.

[0005] Although the integrated operation cockpit for water conservancy projects offers many advantages for water resource management, there are still some disadvantages and limitations at present, mainly manifested in the following aspects:

[0006] (1) Data quality and accuracy issues: Sensors, equipment, etc. involved in water conservancy projects may cause data errors due to faults, damages, or improper maintenance, affecting the monitoring and decision-making capabilities of the cockpit. Different devices, sensors, and systems may use different data formats and protocols, resulting in greater difficulty in data integration, which may affect the overall performance and real-time nature of the system. Due to the limitations of the communication network, data transmission in some remote areas may be delayed, affecting the real-time monitoring and decision-making response of the system.

[0007] (2) System complexity and operation difficulty: Water conservancy projects are large-scale and involve multiple fields (such as reservoirs, pumping stations, irrigation, meteorology, etc.). The cockpit needs to integrate a large number of different types of equipment and systems. Such complex system integration may lead to difficulties in technology implementation and maintenance; for operators, although the cockpit interface provides a large number of functions, if the interface design is not intuitive and user-friendly, or users do not have sufficient training, it may lead to operation difficulties or errors.

[0008] (3) Dependence on high-quality data input: Although the cockpit can issue early warnings and make decisions based on meteorological data, the inaccuracy of meteorological forecasts may affect the decision-making effect of the system, especially in the prediction of extreme weather events; the decision support of the cockpit usually depends on complex mathematical models (such as reservoir operation models, basin water resources models, etc.). If the assumption conditions of the model are inaccurate or the input data is incomplete, it may lead to decision-making deviations.

[0009] (4) Limitations of emergency response: Although the cockpit can issue early warnings and propose emergency measures, in some emergencies, the response of the system may be lagged. Especially for emergencies such as extreme weather and sudden floods, it may not be able to provide accurate decision support in a timely manner. Although the cockpit can provide data and analysis results, many emergency responses still require manual intervention. Especially in a complex decision-making environment, the intelligent level and automation degree of the system may be insufficient and cannot completely replace manual judgment.

[0010] (5) Limitations of intelligent level: The current integrated operation cockpit of water conservancy projects still has limitations in terms of intelligence and automation level. Especially when facing complex hydrological and meteorological conditions, the system may require manual intervention to judge and adjust the operation plan. Although some cockpit systems adopt machine learning or data analysis technologies, many systems have not widely applied advanced artificial intelligence technologies such as deep learning and reinforcement learning, resulting in insufficient prediction and optimization capabilities.

[0011] (6) Difficulties in cross-departmental collaboration: Although the cockpit system aims to promote cross-departmental collaboration, in actual applications, data sharing and cooperation among departments still face some obstacles. For example, the data formats of different departments are different and there is a lack of unified data standards, which may lead to the inability to transmit and share information seamlessly. The coordination work across regions and departments may be lagged. Especially in emergency situations, the communication and decision-making speed among different departments may be affected.

[0012] Although the integrated operation cockpit of water conservancy projects has played a positive role in improving management efficiency and decision support, it still faces many challenges, including data quality issues, system complexity, insufficient intelligence, cost pressure, and cross-departmental collaboration. In the future, with the continuous advancement of technology and optimization of the system, the cockpit is expected to be further improved in terms of intelligence, automation, and adaptability. No solutions have been proposed for related technical issues. Summary of the invention

[0013] In view of the problems in the related technologies, the present invention proposes a comprehensive operation cockpit system for water conservancy projects to overcome the above-mentioned technical problems existing in the existing related technologies. The purpose of the present invention is that the system realizes comprehensive digital mapping of complex water conservancy systems. By integrating high-precision surveying and mapping technology, GIS geographic information system, multi-source heterogeneous data fusion and data lightweight processing technology, it ensures a high degree of simulation of water conservancy scenes. It not only supports the rapid transmission and processing of massive data, but also has strong scalability and flexibility, and can adapt to the growing data needs and technology iterations in the future; real-time rainfall monitoring function, as well as rainfall data from the basin where the reservoir is located shared by the Water Affairs Bureau and the Water Conservancy Bureau, supports conditional screening query, chart switching display, query result export and other operations, and uses text, graphics, images and videos and other forms to provide leaders and business personnel with intuitive safety warning information.

[0014] To achieve the above object, the present invention provides the following technical solution: a hydraulic engineering integrated operation cockpit system, the system comprising:

[0015] The twin reservoir module, based on the data simulation platform, constructs a full-view three-dimensional geographical scene of the Guanlu Reservoir, integrating rainwater monitoring, water quality monitoring, engineering safety monitoring and video monitoring functions; through real-time data collection of front-end monitoring equipment, after data cleaning, integration and analysis, it is intuitively displayed in the three-dimensional scene; using visualization technology, the monitoring data from different sources and types are intelligently integrated into the three-dimensional scene to form a comprehensive view; by simulating water flow movement, water quality changes and engineering responses in different scenarios, potential risks are predicted and the scheduling plan is optimized;

[0016] The comprehensive monitoring module, by calling the services provided by the digital twin platform, provides a panoramic display of the meteorological and hydrological data from the Department of Water Resources and the Hydrological Bureau, as well as basic information, water volume, water level, flow and engineering safety information of key sections and other monitoring stations based on the geographic information system map. The comprehensive monitoring module is connected to the twin reservoir module;

[0017] A comprehensive information query module, which includes an early warning information query module, a rain situation module, a water quality situation module and an engineering safety situation module, and is connected to a comprehensive monitoring module;

[0018] The comprehensive early warning module, which includes an early warning information query module, an early warning disposal module, an early warning release module, and an early warning analysis and management module, is connected to the comprehensive information query module.

[0019] Preferably, the twin reservoir module includes a twin floor construction module, a data fusion and presentation module, and a water conservancy application scenario module.

[0020] Preferably, the twin reservoir module is based on the two- and three-dimensional integrated GIS technology system. The twin floor construction module is the core of the twin reservoir module. By integrating and displaying the basic data and geospatial data converged by the data floor, the twin floor construction module includes GIS data, oblique photography data, BIM models, and three-dimensional terrain data. The data fusion and presentation module performs coupling processing on the calculation results of water conservancy professional models, integrates the simulation results of hydrological models, and conducts simulation and deduction based on the historical water volume scheduling process to form a series of water conservancy professional visualization scenarios. The data fusion and presentation module includes multi-source data fusion and dynamic data integration. The water conservancy application scenario module relies on the multi-scale geospatial data of the data floor and is based on the data fusion of the digital simulation platform.

[0021] Preferably, the comprehensive monitoring module includes a rain and water situation monitoring module, a water quality monitoring module, an engineering safety monitoring module, and a video monitoring module.

[0022] Preferably, the rain and water situation monitoring module takes the monitoring information of the reservoir's self-built monitoring stations and the shared rain and water situation monitoring data of the water affairs bureau and the water conservancy bureau as the main information sources. Combining with the GIS map, users can view the rainfall information and water level information of the reservoir's self-built monitoring stations according to the monitoring stations in the rain and water situation thematic map. The water quality monitoring module takes the monitoring information of the project's self-built water quality automatic monitoring system and the shared water quality monitoring data of water supply and environmental protection as the main information sources, and displays the real-time water quality monitoring information of the reservoir on the twin reservoir. The engineering safety monitoring module includes dam safety monitoring, pump station safety monitoring, sluice safety monitoring, and dike safety monitoring. The video monitoring module accesses the video monitoring information of each functional facility, equipment, and key security prevention areas in the Guanlu Reservoir to monitor and master the engineering security situation in real time.

[0023] Preferably, the information query module provides real-time query and historical query services for various types of data; the rain and water situation module includes rainfall statistics and water volume statistics, and the water quality situation module statistically summarizes the real-time collection of five conventional parameters, sulfate, permanganate index, total nitrogen, chlorophyll-a, as well as the temperature, turbidity, pH value, dissolved oxygen, ammonia nitrogen, nitrate, nitrite, and total phosphorus monitored by the water quality station; the engineering safety situation module ensures that users can conduct refined data analysis and evaluation for the specific operation status, seasonal changes, or specific events of water conservancy projects.

[0024] Preferably, the early warning information query module includes information query and report generation, and the early warning disposal module includes early warning assessment and entry, disposal and management, plan formulation, plan execution and update, and comprehensive evaluation; the early warning release module reviews whether to release the early warning by the main leadership unit of the early warning object generated by the selected forecasting plan; the early warning analysis and management module sets different early warning indicators for different monitoring objects, and no relevant early warning prompts are given to the monitoring objects without early warning indicators set.

[0025] Compared with the prior art, the beneficial effects of the present invention are:

[0026] (1) The present invention is a comprehensive operation cockpit system for water conservancy projects, which realizes a comprehensive digital mapping of complex water conservancy systems. By integrating high-precision surveying and mapping technology, GIS geographic information system, multi-source heterogeneous data fusion, and data lightweight processing technology, it ensures a high degree of simulation of water conservancy scenarios. It not only supports the rapid transmission and processing of massive data, but also has strong scalability and flexibility, and can adapt to the growing data needs and technological iterations in the future; the real-time rainfall monitoring function, as well as the rainfall data of the reservoir's watershed shared by the water affairs bureau and water conservancy bureau, support operations such as conditional screening query, chart switching display, and query result export, and provide intuitive safety warning information for leaders and business personnel in various forms such as text, graphics, images, and videos.

[0027] (2) The present invention is a comprehensive operation cockpit system for water conservancy projects, which realizes interactive linkage, calculation feedback, and display with the digital twin body, constructs a dynamic digital twin scenario. By intelligently integrating multi-source dynamic data, it generates the slice, vector, and model object files required by the simulation platform, efficiently processes different data sources to create a comprehensive, real, and highly visual digital twin environment, and adopts diversified display methods to meet the reading habits and analysis needs of different users. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a framework diagram of the comprehensive operation cockpit system for water conservancy projects of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0029] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0030] Example

[0031] See also Figure 1 The present invention proposes a technical solution for a water conservancy project integrated operation cockpit system: a water conservancy project integrated operation cockpit system, the system comprising:

[0032] The twin reservoir module, based on the data simulation platform, constructs a full-view three-dimensional geographical scene of the Guanlu Reservoir, integrating rainfall monitoring, water quality monitoring, engineering safety monitoring and video monitoring functions; through real-time data collection of front-end monitoring equipment, after data cleaning, integration and analysis, it is intuitively displayed in the three-dimensional scene; using visualization technology, the monitoring data from different sources and types are intelligently integrated into the three-dimensional scene to form a comprehensive view; by simulating water flow movement, water quality changes and engineering responses in different scenarios, potential risks are predicted and the scheduling plan is optimized; specifically, the twin reservoir module not only accurately reproduces the natural features of the reservoir and its surrounding terrain, but also deeply integrates the power of modern science and technology to achieve comprehensive digital mapping of complex water conservancy systems, by integrating high-precision surveying and mapping technology, GIS geographic information system, The fusion of multi-source heterogeneous data and the lightweight data processing capabilities ensure a high degree of simulation of water conservancy scenarios. During the construction process, emphasis is placed on the construction of three-dimensional models of key water conservancy project buildings. These models include but are not limited to important facilities such as dams, gates, and pumping stations. UAV aerial photography and manual fine modeling are used to ensure accurate simulation of building models, which provides a solid foundation for subsequent monitoring, analysis, and management. Such as water quality change trends, project operation status, and real-time monitoring images, provide managers with comprehensive and immediate decision-making support information; it helps managers quickly grasp the overall operation status of the reservoir, discover potential problems in a timely manner, and make scientific and effective response measures. The construction of water conservancy application scenarios covers flood scheduling, optimal allocation of water resources, ecological and environmental protection, and other aspects, improving the comprehensive benefits of reservoirs and their ability to respond to emergencies.

[0033] The comprehensive monitoring module, by calling the services provided by the digital twin platform, provides a panoramic display of the meteorological and hydrological data from the Department of Water Resources and the Hydrological Bureau, as well as basic information, water volume, water level, flow and engineering safety information of key sections and other monitoring stations based on the geographic information system map. The comprehensive monitoring module is connected to the twin reservoir module; specifically, the information categories are displayed in the form of thematic maps, including rainwater monitoring, water quality monitoring, engineering safety monitoring, video monitoring, etc.

[0034] Comprehensive information query module. The comprehensive information query module includes an early warning information query module, a rain and water situation module, a water quality situation module, and an engineering safety situation module. The comprehensive information query module is connected to the comprehensive monitoring module. Specifically, the early warning information query module includes the basic information query of Guanlu Reservoir, the monitoring information of various time scales and monitoring data types, and the business information query related to water volume scheduling management. The water quality situation module can view the detailed evaluation results of various pollutant indicators at a single point, support the selection of different time periods such as single time, daily, weekly, ten-day, monthly, quarterly, and annual for comprehensive water quality evaluation analysis, and provide various display methods such as graphs and tables. In terms of the monitoring objects of the engineering safety situation module, the system supports comprehensive coverage of key engineering facilities such as dams, pumping stations, gates, and dikes, including but not limited to key parameters such as water level, flow rate, seepage pressure, stress, deformation, and opening and closing status. It can automatically statistically summarize these data according to the preset time period, and the statistical results can intuitively reflect the operation status and change trends of each engineering facility in different time periods, providing strong support for engineering management and decision-making. In terms of data display, the system adopts diversified display methods to meet the reading habits and analysis needs of different users. Users can choose charts (such as line charts, bar charts, pie charts, etc.) to intuitively display the change trends and distribution of monitoring data; they can also view detailed data records and statistical results in tabular form. In addition, the system also supports the data export function, and users can export and save the required data in formats such as Excel and PDF for subsequent analysis and report preparation.

[0035] Comprehensive early warning module. The comprehensive early warning module includes an early warning information query module, an early warning disposal module, an early warning release module, and an early warning analysis and management module. The comprehensive early warning module is connected to the comprehensive information query module. Specifically, the early warning disposal module is a systematic and comprehensive process that covers multiple links from the assessment, entry, disposal to management, plan formulation, execution, update, and subsequent evaluation of early warning events; the early warning release module can integrate an early warning release interface, and the approved early warning information is released in the form of a system. The early warning range is determined based on a three-dimensional scene. According to the early warning indicators, different colors are used to express the danger levels of risk areas, and the early warning range is delimited; the early warning responsible person constructs a responsible person system, classifies different departments, and can retrieve basic information, job responsibilities, and contact information of personnel through the address book function; after an early warning appears in the relevant area, it supports the integration of early warning information for the risk section area, automatically sends it to the department leader in the form of a text message, and after being approved by the department leader, the early warning is released in the form of an in-site message, text message, intelligent voice call, etc. It provides functions such as personalized subscription service and active push of early warning information, realizes real-time sharing of early warning information within the water conservancy industry, and accurately releases early warning information to the four responsible persons of the reservoir in a timely manner; the early warning process tracking system realizes the whole-process management and tracking of the processes such as the generation, approval, release, and feedback of early warning information, records the time points of each process, and realizes the backtracking of early warning events; the early warning analysis and management module formulates different early warning levels according to the predicted values of early warning indicators. The early warning level setting function assists in realizing the management of the early warning levels of monitoring objects, so as to provide different levels of early warning prompts according to the early warning levels, provide more accurate alarm information for relevant disposal personnel, and facilitate timely and correct feedback.

[0036] Furthermore, the twin reservoir module includes a twin floor construction module, a data fusion and presentation module, and a water conservancy application scenario module.

[0037] Furthermore, the twin reservoir module is based on a two-dimensional and three-dimensional integrated GIS technology system. The twin floor construction module is the core of the twin reservoir module. By integrating and displaying the basic data and geospatial data collected by the data floor, the twin floor construction module includes GIS data, oblique photography data, BIM models, and three-dimensional terrain data; the data fusion and presentation module performs coupling processing on the calculation results of water conservancy professional models, integrates the simulation results of hydrological models, and conducts simulation and deduction based on the historical water volume scheduling process to form a series of water conservancy professional visualization scenarios. The data fusion and presentation module includes multi-source data fusion and dynamic data integration; the water conservancy application scenario module relies on the multi-scale geospatial data of the data floor and is based on the data fusion of the digital simulation platform.

[0038] In this embodiment, a stable and reliable data infrastructure is built, realizing the mapping of the physical world in the digital world. GIS integrates a large amount of multi-source data, such as topographic images, oblique photography models, fine models, water surfaces, underground pipelines, and field data, etc., to achieve the fusion and matching of BIM and multi-source data, thereby improving the utilization value of data, which is the key to BIM+GIS data fusion. It integrates three-dimensional data such as oblique photography, BIM, and laser point clouds, realizing the key technology of seamless fusion of multi-source data in a three-dimensional GIS platform, reducing the construction cost of GIS application systems and improving the usage efficiency of spatial data;

[0039] Oblique photography: The oblique photography automated modeling technology is a high-tech developed in the surveying and mapping field in recent years. Through multiple sensing devices on the same aircraft, images are collected simultaneously from vertical and oblique angles, and an oblique photography model is generated through fully automatic batch modeling. Its absolute advantages of high precision, high efficiency, high realism, and low cost have become an important data source for three-dimensional GIS. The data simulation and simulation platform provides a full-process solution for oblique photography data, provides virtual dynamic monomerization technology for oblique photography modeling data, and solves the problem that oblique photography modeling data cannot be directly objectified for query and management; realizes key technologies such as native loading of TB-level oblique photography modeling data in a three-dimensional GIS platform, dynamic coordinate conversion, real-time rendering, and loading of native oblique photography OSGB data format. Since the oblique photography model has a large amount of data, the platform should implement technologies such as directly loading the model and overlaying vector surfaces to achieve monomerization. From the functions of loading, processing, querying, spatial analysis, output of the oblique photography model to performance optimization, service publishing, and multi-terminal support;

[0040] BIM model: BIM is a monomer fine model, but it cannot be separated from the surrounding macro-geographical environment elements. And three-dimensional GIS is dedicated to the research of the macro-geographical environment, providing various spatial query and spatial analysis functions. BIM data is another important data source for three-dimensional GIS, which can make three-dimensional GIS go from macro to micro and can also achieve fine management. The data simulation and simulation platform should support the import of model formats produced by mainstream BIM software (Revit, Bentley, CATIA). The platform should support BIM data in formats such as rvt, dgn, CATProduct, and IFC to achieve seamless connection between BIM and GIS data; support the in-place editing function of the BIM model, support directly opening BIM data in the form of a data source, thereby realizing rapid collaboration with the BIM model, providing georegistration capabilities, supporting specified coordinate systems, supporting position editing, and realizing repositioning in a three-dimensional scene;

[0041] Three-dimensional terrain data: The three-dimensional terrain data enhances the spatiality on the basis of the early two-dimensional digital topographic maps, making the digital topographic maps more enriched and three-dimensional. That is, the natural geographical forms to be studied are represented by three-dimensional coordinates in the horizontal and vertical directions, fully reflecting the mapping area, and at the same time expressing the spatial three-dimensionality. It is recommended that the platform support the loading of mainstream terrain data such as Grid (regular grid) and TIN (irregular triangular network). Grid is relatively simple in calculation and is suitable for situations with few sampling points, but there is a large amount of data redundancy in flat terrain areas, and it is difficult to express complex terrain without changing its grid size. TIN refers to an irregular triangular network. TIN can reduce data redundancy, express higher precision, and has advantages in terms of calculation efficiency. The fusion of the two data formats can ensure the light weight of the scene to the greatest extent while obtaining more geographical information. To meet the needs of modules such as the three-dimensional simulation of Guanlu Reservoir, it is necessary to construct the geographical spatial data of all elements of Guanlu Reservoir and the upstream and downstream channels of the reservoir area. The specific work content is as follows:

[0042] ① The real-scene three-dimensional model of Guanlu Reservoir and the upstream and downstream channels of the reservoir area; ② The digital elevation model of the Guanlu Reservoir area; ③ The investigation, editing, and attribute warehousing of the Guanlu Reservoir area; ④ The digital elevation model of the channels of Mohe River and Shunxi River; ⑤ The hydrological cross-sections of the channels of Mohe River and Shunxi River.

[0043] Furthermore, the comprehensive monitoring module includes a rain and water regime monitoring module, a water quality monitoring module, an engineering safety monitoring module, and a video monitoring module.

[0044] In this embodiment, the rain and water regime monitoring module refers to the data of real-time monitoring of water regime information, and the content includes: the reservoir water level, water storage volume, the water level in front of the intake pump station of the reservoir, the monitoring information of the flow measurement stations, and the flow calculation results, and provides functions such as querying and statistics of relevant information to provide real-time and accurate water regime information services for engineering management personnel; the water quality monitoring module includes items such as temperature, turbidity, pH value, dissolved oxygen, ammonia nitrogen, nitrate, nitrite, total phosphorus, etc., and generates a trophic state index, water quality category, and main pollution index (exceedance multiple) according to the monitoring data of the day; for the engineering safety monitoring module, combined with the GIS map, users can view the monitoring data of each project in the reservoir in the corresponding engineering safety thematic map, mainly including dam safety monitoring, pump station safety monitoring, gate safety monitoring, and dike safety monitoring, etc.; the video monitoring module can perform image switching display control and operation control through the details of the video monitoring points.

[0045] Furthermore, the rain and water condition monitoring module uses the monitoring information of the reservoir's self-built monitoring station and the shared rain and water condition monitoring data of the Water Affairs Bureau and the Water Resources Bureau as the main information sources. Combined with the GIS map, users can view the rainfall information and water level information of the reservoir's self-built monitoring station according to the monitoring site in the rain and water condition thematic map; the water quality monitoring module uses the monitoring information of the project's self-built water quality automatic monitoring system and the shared water quality monitoring data of water supply and environmental protection as the main information sources, and displays the real-time water quality monitoring information of the reservoir on the twin reservoirs; the project safety monitoring module includes dam safety monitoring, pump station safety monitoring, sluice safety monitoring and dam safety monitoring; the video monitoring module accesses the video surveillance information of various functional facilities, equipment and key security areas in the Guanlu Reservoir to monitor and grasp the project security status in real time.

[0046] In this embodiment, dam safety monitoring is based on the monitoring data of seepage, deformation, stress, etc. of the dam safety monitoring system, and the safety status of the reservoir dam is monitored in real time, providing real-time dam safety information to the engineering management unit to ensure the safe operation of the dam; pump station safety monitoring refers to the pump station safety monitoring mainly based on manual monitoring, which mainly monitors the real-time operation of the engineering gates and pump stations of the reservoir, including the water level, water pressure, flow, electricity, vibration and other contents of the three pump stations: the inlet pump station, the Qingdao outlet pump station, and the Gaomi Pingdu outlet pump station, the opening and closing of the gate, the water level of each control point, the gate opening, the number of gate opening holes and other information, and monitors The monitoring contents are recorded and managed; the sluice safety monitoring manages and displays the automatic or manual observation safety data of each sluice attached to the project, regularly compiles and analyzes the observation data and records the relevant documents. For the manually observed data, the platform provides the reporting of manual special observation information, including monitoring contents such as settlement deformation, leakage, and cracks, and queries and statistically analyzes the project safety monitoring contents. The detailed observation information can be customized during the time period, and the monitoring results are compiled and analyzed, and corresponding reports are generated; the dam safety monitoring refers to the query of regular manual observation information of the dam and embankment project, including monitoring contents such as settlement deformation, water level, scouring and silting, leakage, and cracks. The safety monitoring records of the embankment are managed, and automatic reminders can be given when they expire.

[0047] Furthermore, the information query module provides real-time query and historical query services for various types of data; the rain situation module includes rainfall statistics and water volume statistics; the water quality situation module summarizes the real-time collection of five conventional parameters, sulfate and permanganate index, total nitrogen, chlorophyll-a, and temperature, turbidity, pH value, dissolved oxygen, ammonia nitrogen, nitrate, nitrite, and total phosphorus monitored by water quality stations; the engineering safety situation module ensures that users can conduct refined data analysis and evaluation on the operation status of specific water conservancy projects, seasonal changes or specific events.

[0048] In this embodiment, the rainfall statistics display basic information of the measuring station, details of the rainfall process, detailed rainfall of the station, magnitude statistics, etc. It can statistically query the rainfall information within a single-station statistical query time period, and has functions such as statistical maximum precipitation for 1 day, 3 days, 7 days, 15 days, and 30 days, and supports export; the water volume statistics statistically analyze the water regime information, and the analysis content includes: data such as the reservoir water level, water storage volume, and the water level of the forebay of the intake pump station. It supports statistically querying water regime data in a custom time period and supports export.

[0049] Furthermore, the early warning information query module includes information query and report generation, and the early warning disposal module includes early warning assessment and entry, disposal and management, plan formulation, plan execution and update, and comprehensive evaluation; the early warning release module reviews whether to release the early warning by the main leading unit of the early warning object generated by the selected forecasting plan; the early warning analysis and management module sets different early warning indicators for different monitoring objects, and no relevant early warning prompts are given to the monitoring objects without early warning indicators set.

[0050] In this embodiment, information query serves as the unified entry for early warning information, demonstrating powerful data integration and query capabilities. It provides users with a convenient and efficient way to obtain monitoring and early warning information in multiple aspects such as water regime, rainfall, safety, and water quality. It integrates early warning information from multiple business systems, including but not limited to water regime monitoring and early warning, rainfall monitoring and early warning, safety monitoring and early warning, and water quality monitoring and early warning. These early warning information are gathered into this module in real-time or regularly through standardized interfaces or data exchange protocols, ensuring the comprehensiveness and timeliness of the information. The information query module also supports querying early warning information from different dimensions, including the following dimensions:

[0051] Query by monitoring station: Users can quickly filter out all early warning information related to a specific site according to the site name or code of specific hydrological monitoring stations, meteorological observation stations, water quality monitoring points, etc. This function is particularly suitable for users who are concerned about the situation in a specific area or site, such as local water conservancy management departments, emergency response teams, etc.;

[0052] Query by monitoring time: The system supports users to customize the query time range, such as the past 24 hours, this week, this month, or a specified date range, etc., to obtain the early warning information within this time period. This is of great significance for analyzing historical data, evaluating the early warning effect, or conducting trend prediction;

[0053] Query by monitoring item: Users can query according to the specific categories of early warning information (such as water regime, rainfall, safety, water quality, etc.) or more detailed monitoring items (such as water level, rainfall, dam stress, water quality indicators, etc.);

[0054] Report generation provides the function of generating reports for the query results of early warning information. The report format can be selected from templates or customized, and online sending and printing of reports are provided.

[0055] The early warning disposal module includes:

[0056] Early warning assessment and entry: After the system receives the early warning information, it first conducts a preliminary assessment of the event according to the preset early warning indicators, levels, and thresholds to determine its urgency and possible scope of influence; enters the information of the evaluated early warning event into the system, including key information such as the time, location, type, level, and scope of influence of the event.

[0057] Disposal and management: According to the level and type of the early warning event, the system determines whether it is necessary to immediately activate the emergency plan. For high-level or special-type early warning events, the system will automatically trigger the activation process of the emergency plan. According to the requirements of the plan, allocate necessary human, material, and technical resources to prepare for the disposal of the early warning event.

[0058] Emergency plan formulation: The personnel of the early warning center obtain historical information from the early warning resource library through the knowledge platform to understand the handling methods and effects of similar events, providing a reference for the formulation of the emergency plan for the current early warning event.

[0059] Emergency plan execution and update: Conduct disposal operations according to the formulated emergency plan to ensure that the early warning event is controlled in a timely and effective manner. After the early warning event is effectively controlled, update the emergency plan, record the experiences and lessons during the disposal process for future reference, and at the same time, archive the updated emergency plan.

[0060] Comprehensive evaluation: Conduct a comprehensive evaluation of the entire disposal process of the early warning event, including aspects such as the timeliness and accuracy of the early warning, the effectiveness of the emergency plan, and the disposal effect.

[0061] The present invention realizes a comprehensive digital mapping of complex water conservancy systems. By integrating high-precision surveying and mapping technology, GIS geographic information system, multi-source heterogeneous data fusion, and data lightweight processing technology, it ensures a high degree of simulation of water conservancy scenarios, not only supports the rapid transmission and processing of massive data, but also has strong scalability and flexibility, and can adapt to the growing data requirements and technological iterations in the future; the real-time rainfall monitoring function, as well as the rainfall data of the reservoir's watershed shared by the water affairs bureau and the water conservancy bureau, supports operations such as conditional screening queries, chart switching displays, and export of query results, and provides intuitive safety early warning information for leaders and business personnel in various forms such as text, graphics, images, and videos.

[0062] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by terms such as "coaxial", "bottom", "one end", "top", "middle", "the other end", "upper", "one side", "top", "inner", "front", "center", "both ends", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0063] In the present invention, unless otherwise clearly defined and limited, terms such as "installed", "set", "connected", "fixed", "swivelly connected", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection, an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium. It can be the communication inside two elements or the interaction relationship between two elements. Unless otherwise clearly defined, for those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0064] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive operation cockpit system for water conservancy projects, characterized in that: The system includes: The twin reservoir module, based on the data simulation platform, constructs a full-view three-dimensional geographical scene of the Guanlu Reservoir, integrating rainwater monitoring, water quality monitoring, engineering safety monitoring and video monitoring functions; through real-time data collection of front-end monitoring equipment, after data cleaning, integration and analysis, it is intuitively displayed in the three-dimensional scene; using visualization technology, the monitoring data from different sources and types are intelligently integrated into the three-dimensional scene to form a comprehensive view; by simulating water flow movement, water quality changes and engineering responses in different scenarios, potential risks are predicted and the scheduling plan is optimized; The comprehensive monitoring module, by calling the services provided by the digital twin platform, provides a panoramic display of the meteorological and hydrological data from the Department of Water Resources and the Hydrological Bureau, as well as basic information, water volume, water level, flow and engineering safety information of key sections and other monitoring stations based on the geographic information system map. The comprehensive monitoring module is connected to the twin reservoir module; A comprehensive information query module, which includes an early warning information query module, a rain situation module, a water quality situation module and an engineering safety situation module, and is connected to a comprehensive monitoring module; The comprehensive early warning module includes an early warning information query module, an early warning disposal module, an early warning release module and an early warning analysis management module, and the comprehensive early warning module is connected to the comprehensive information query module.

2. A hydraulic engineering integrated operation cockpit system according to claim 1, characterized in that: The twin reservoir module includes a twin base plate construction module, a data fusion presentation module and a water conservancy application scenario module.

3. A hydraulic engineering integrated operation cockpit system according to claim 2, characterized in that: The twin reservoir module is based on the two-dimensional and three-dimensional integrated GIS technology system. The twin base construction module is the core of the twin reservoir module. It integrates and displays the basic data and geographic spatial data gathered by the data base. The twin base construction module includes GIS data, oblique photography data, BIM model and three-dimensional terrain data; the data fusion presentation module couples the calculation results of the water conservancy professional model, integrates the simulation results of the hydrological model, and simulates and deduces based on the historical water volume dispatching process to form a series of water conservancy professional visualization scenes. The data fusion presentation module includes multi-source data fusion and dynamic data integration; The water conservancy application scenario module relies on multi-scale geographic spatial data of the data base and data fusion based on the digital simulation platform.

4. A hydraulic engineering integrated operation cockpit system according to claim 1, characterized in that: The comprehensive monitoring module includes a rain monitoring module, a water quality monitoring module, a project safety monitoring module and a video monitoring module.

5. A hydraulic engineering integrated operation cockpit system according to claim 4, characterized in that: The rain and water monitoring module uses the monitoring information of the reservoir's self-built monitoring station and the shared rain and water monitoring data of the Water Affairs Bureau and the Water Resources Bureau as the main information sources. Combined with the GIS map, users can view the rainfall information and water level information of the reservoir's self-built monitoring station according to the monitoring site in the rain and water thematic map; the water quality monitoring module uses the monitoring information of the project's self-built water quality automatic monitoring system and the shared water supply and environmental protection water quality monitoring data as the main information sources, and displays the reservoir's real-time water quality monitoring information on the twin reservoirs; The engineering safety monitoring module includes dam safety monitoring, pump station safety monitoring, sluice safety monitoring and surrounding dam safety monitoring; The video monitoring module is connected to the video monitoring information of various functional facilities, equipment and key security areas in the Guanlu Reservoir to monitor and grasp the security status of the project in real time.

6. The integrated operation cockpit system for water conservancy projects according to claim 1 is characterized by: The information query module provides real-time query and historical query services for various types of data; the rain situation module includes rainfall statistics and water volume statistics; the water quality situation module summarizes the real-time collection of five conventional parameters, sulfate and permanganate index, total nitrogen, chlorophyll-a, and temperature, turbidity, pH value, dissolved oxygen, ammonia nitrogen, nitrate, nitrite, and total phosphorus monitored by water quality stations; the engineering safety situation module ensures that users can conduct refined data analysis and evaluation for specific water conservancy project operation conditions, seasonal changes or specific events.

7. The integrated operation cockpit system for water conservancy projects according to claim 1 is characterized by: The warning information query module includes information query and report generation, the warning disposal module includes warning assessment and entry, disposal and management, plan formulation, plan execution and update, and comprehensive evaluation; the warning release module reviews whether the main leading unit of the warning object generated by the selected forecast scheme has issued the warning; The early warning analysis management module sets different early warning indicators for different monitoring objects, and no relevant early warning prompts are given to monitoring objects for which no early warning indicators are set.

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