Water conservancy informatization management system based on digital twinborn model

Abstract

The invention discloses a water conservancy informatization management system based on a digital twinborn model, and relates to the technical field of water conservancy management, and the system comprises a block management module which is based on the equipment, terrain and hydrological information data of water conservancy facilities, management blocks are divided according to the equipment, terrain and hydrological information data characteristics of the water conservancy facilities, computing equipment is locally deployed in each management block, and the local computing equipment of the management blocks is utilized to distribute management computing tasks according to the load capacity. Management blocks of equipment, terrains and hydrological environments of water conservancy facilities are divided into a plurality of gridding node units through the block management module, data storage and calculation tasks are independently undertaken through independent monitoring management of each management block, the data load pressure of a single central server is reduced, and the management efficiency of the water conservancy facilities is improved. Response delay and fault risks caused by overload of the central server are avoided, and stable operation of the water conservancy informatization management system is guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water conservancy management, in particular to a water conservancy informatization management system based on a digital twin model. BACKGROUND

[0002] Water conservancy management refers to a systematic work of using, protecting and managing water sources, water areas and water conservancy facilities to ensure water safety, eliminate water hazards, rationally allocate water resources and verify the correctness of water conservancy facilities, involving water quantity regulation, engineering operation and maintenance and water ecological protection.

[0003] The existing water conservancy informatization management system relies on the central server of the control center for processing and management of water conservancy facilities and hydrological information. The central server of the control center needs to bear the collection, storage and data analysis and calculation of water conservancy information. The central server needs to bear a large amount of data pressure, so that the central server is in a high load state, which makes the water conservancy informatization management system have the risk of system response delay and system failure due to the overload of the central server, thereby restricting the operation stability and management efficiency of the water conservancy informatization management system. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a water conservancy informatization management system based on a digital twin model, which solves the problems mentioned in the background art.

[0005] To achieve the above purpose, the present application realizes the following technical scheme: a water conservancy informatization management system based on a digital twin model, comprising: a block management module, a digital twin module, a blockchain network module and a health degree management module; The block management module is based on the equipment, terrain and hydrological information data of the water conservancy facilities, and the management block is divided according to the equipment, terrain and hydrological information data characteristics of the water conservancy facilities. Each management block is locally deployed with a computing device, and the local computing device of the management block is used to distribute management computing tasks according to the load; The digital twin module is used to simulate the whole life cycle of water conservancy facilities and hydrological environment, and a digital twin model is established based on the obtained equipment, regional terrain and hydrological information data of the water conservancy facilities and corresponding historical data. The digital twin model outputs whole life cycle data simulating the equipment, terrain and hydrological information state of the water conservancy facilities. The digital twin module is deployed in the computing device of the block management module; The blockchain network module, taking each of the management blocks as an independent management point, is provided with a distributed ledger for storage and management of the full life cycle data, the full life cycle data being written in the distributed ledger in an encrypted form, while realizing cross-regional data sharing according to the allocation management of the block management module, and transmitting the full life cycle data to the water conservancy control center through the blockchain network module; The health degree management module, based on the full life cycle data generated by the digital twin module, analyzes the full life cycle data of each management block, judges the state of the water conservancy facilities and hydrological environment and evaluates the overall health level, and generates management warning information; The block management module includes a block division sub-module, a load balancing sub-module and a cross-chain collaboration sub-module. The block division sub-module: imports the equipment, terrain and hydrological information data of the water conservancy facilities, analyzes the equipment, terrain and hydrological information data of the water conservancy facilities through the computing device, aligns the geometric coordinates of the equipment, terrain and hydrological information data of the water conservancy facilities, and divides the water conservancy facilities into the management blocks according to the grid division rules after the geometric coordinates are aligned; The load balancing sub-module: classifies the computing load of the computing device of the management block, and sets the corresponding load threshold according to the classification, when the management computing task of the management block exceeds the preset load threshold, sends the management computing task to the computing device of the surrounding low-load management block, and returns the computing result to the computing device corresponding to the management block after completing the calculation; The cross-chain collaboration sub-module: supports data sharing and decision-making collaboration between the management blocks, builds an encrypted channel through the blockchain network module, verifies the data request sent according to the permission, transmits the shared data in a standardized format, when encountering an event across the management blocks, triggers a joint decision-making process, synchronizes data and collaborates to generate a scheduling scheme.

[0006] Preferably, the division method of dividing the management blocks according to the characteristics of the equipment, terrain and hydrological information data of the water conservancy facilities includes: Obtaining three types of basic data of equipment, terrain and hydrological information of the water conservancy facility, the equipment data including: data including equipment type, quantity, distribution location, function parameter and management unit of the water conservancy facility, the terrain including: spatial data of basin elevation data, terrain slope, landform type and administrative boundary, and the hydrological information including: hydrological data of basin water system distribution, river course, water flow direction, water level amplitude, flow characteristics and basin range; Extracting features of three types of basic data of equipment, terrain and hydrological information of the water conservancy facility, setting weights according to equipment importance, function correlation and management distance of the water conservancy facility, setting weights based on continuity, elevation drop and geographical barrier of the terrain, and setting weights according to water flow connectivity, basin catchment relationship and water level influence range of the hydrological information; Taking the weight of the equipment as a basic point, the features of the terrain and the hydrological information associated with the outward extension distance of the equipment are divided, and then the range of the management block is determined, and the grid management block division is completed.

[0007] Preferably, the allocation logic of the local computing equipment of the management block for allocating management computing tasks is specifically: First, the computing task amount and the computing importance degree of the management block are classified, and the importance of the equipment running in the management block, the complexity of the terrain and the change frequency of the hydrological information are classified into three levels of load area, i.e. heavy load area, medium load area and low load area; The three levels of load area adopt a hybrid allocation of computing tasks of proof of work and weight proof, wherein the proof of work is based on the combination of the equipment, terrain and hydrological information data of the water conservancy facility of the management block and the corresponding historical data group evaluation, and the weight proof is based on the load classification and hardware resource configuration of the management block; When the computing amount of the heavy load area exceeds the set load threshold, the heavy load area allocates the management computing tasks to the medium load area and the low load area, and returns the calculation results to the computing equipment of the heavy load area after the calculation is completed, and the management computing tasks are preferentially allocated to the low load area.

[0008] Preferably, the blockchain network module includes: a distributed ledger submodule, a cross-chain communication submodule and a node management submodule; The distributed ledger submodule: after the digital twin module simulates the generation of the full life cycle data, the full life cycle data is stored by the distributed ledger submodule, so as to ensure that the full life cycle data cannot be changed; The cross-chain communication submodule is configured to transmit the full life cycle data stored in the distributed ledger submodule to the water conservancy control center, and the transmission is performed in an encrypted manner, and the cross-chain data communication is provided for data sharing between the management blocks; The node management submodule is configured to generate a corresponding unique block identity code for each of the management blocks, and to perform encoding matching on the full life cycle data when the full life cycle data is stored in the distributed ledger submodule, and then to store the full life cycle data in an encrypted manner, and to verify the corresponding block identity code when the full life cycle data and the data sharing between the management blocks are transmitted by the cross-chain communication submodule, and to perform the transmission of the full life cycle data and the data sharing between the management blocks after the verification is passed.

[0009] Preferably, the health degree management module comprises a state monitoring submodule, a health evaluation submodule and a warning response submodule. The state monitoring submodule is configured to upload the full life cycle data to the water conservancy control center by the block chain network module, to identify the uploaded full life cycle data, to judge the result of the full life cycle data, and to determine that there is a risk in the corresponding management block when there is an abnormal value in the data of the full life cycle data, and to mark the management block as a risk management block. The health evaluation submodule is configured to further analyze the full life cycle data of the risk management block, to confirm specific abnormal points in the equipment, terrain and hydrological information data of the water conservancy facility, to evaluate and predict the abnormal points by the health evaluation submodule, to evaluate the risk level of the abnormal points and to predict potential risk projects in other equipment, terrain and hydrological information in the risk management block, and to generate an evaluation report. The warning response submodule is configured to trigger a warning for the corresponding project when the health score in the evaluation report is lower than a preset threshold, to generate warning information and send it to the intelligent device of the staff or the server of the water conservancy control center, and to generate an adjustment scheme corresponding to the warning information.

[0010] Preferably, the water conservancy information management system further comprises a data acquisition module, a data processing module and a management interaction module. The data acquisition module is configured to collect the equipment operation parameters of the water conservancy facility, to collect the hydrological information of the water quality, water quantity and flow of the water conservancy facility, and to collect the three-dimensional image of the terrain of the water conservancy facility environment. The data processing module is configured to process data of operation parameters, terrain three-dimensional images and hydrological information collected by the data collection module, and output device, terrain and hydrological information data of the water conservancy facility after data processing. The management interaction module is configured to support management operation of the water conservancy informatization management system by the staff and state checking of the water conservancy informatization management system.

[0011] Preferably, the management interaction module comprises a user interaction submodule and an AR visualization submodule. The user interaction submodule provides a graphical operation interface and supports operation management of the water conservancy informatization management system by the staff. The AR visualization submodule superimposes the simulation result of the digital twin module on the physical scene and displays the information management state of the water conservancy facility.

[0012] Preferably, the data collection module comprises: Water level sensors, flow sensors, water quality sensors, device vibration sensors and weather sensors are arranged in the water conservancy facility and water environment to collect data of devices and hydrological information of the water conservancy facility. A drawing unmanned aerial vehicle is equipped with a high-definition camera and a laser radar to collect terrain data of the water conservancy facility.

[0013] The application provides a water conservancy informatization management system based on a digital twin model. (1) The block management module divides the devices, terrain and hydrological environment of the water conservancy facility into management blocks, divides the entire water conservancy facility and environment into a plurality of grid node units, independently monitors and manages each management block, independently undertakes data storage and calculation tasks, reduces the data load pressure of a single central server, balances the operation load of the water conservancy informatization management system, avoids response delay and failure risk caused by overloading of the central server, ensures stable operation of the water conservancy informatization management system, and improves the continuity of the management process.

[0014] (2) The water conservancy information management is dispersed to each block node through the block chain network module, the management mode of the single central server is converted into independent operation of each node by using the decentralized characteristics of the block chain, and the information management of each block is summarized by using the block chain network to replace the traditional centralized processing mode of the central server, the management pressure of each node is lower, and more stable and efficient water conservancy management effect is realized.

[0015] (3) The digital twin module constructs a full life cycle digital twin model based on the collected water conservancy data and historical data, divides management blocks according to the characteristics of watersheds and facilities in combination with the block management module, realizes accurate mapping and partitioned management and control of water conservancy information, makes the water conservancy information of information management more refined and the management more targeted, provides dynamic visual support for the full life cycle management of water conservancy facilities, and improves the accuracy of management decision-making. BRIEF DESCRIPTION OF DRAWINGS

[0016] Fig. 1 A system block diagram of the water conservancy informatization management system based on the digital twin model; Fig. 2 A management flowchart of the water conservancy informatization management system based on the digital twin model. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of the present application.

[0018] Embodiment 1

[0019] Please refer to Figs. 1-2 The present application provides a water conservancy informatization management system based on a digital twin model. To achieve the above object, the present application is implemented by the following technical solutions: the water conservancy informatization management system comprises a block management module, a digital twin module, a block chain network module and a health degree management module. The block management module is based on the equipment, terrain and hydrological information data of water conservancy facilities, and divides management blocks according to the characteristics of the equipment, terrain and hydrological information data of water conservancy facilities. Each management block has a local computing device, and the local computing device of the management block is used to distribute management computing tasks according to the load. The digital twin module is used for simulating the full life cycle of water conservancy facilities and hydrological environment. The digital twin model is established based on the obtained equipment, regional terrain and hydrological information data of water conservancy facilities and corresponding historical data. The digital twin model outputs full life cycle data simulating the equipment, terrain and hydrological information state of water conservancy facilities. The digital twin module is deployed in the computing device of the block management module. The blockchain network module takes each management block as an independent management point, and the management point is provided with a distributed ledger, which is used for storage and management of the whole life cycle data, and the whole life cycle data is written in the distributed ledger in an encrypted form, and cross-regional data sharing is realized according to the allocation management of the block management module, and the whole life cycle data is transmitted to the water conservancy control center through the blockchain network module; The health degree management module judges the state of the water conservancy facilities and the hydrological environment and evaluates the overall health level according to the analysis result of the whole life cycle data of each management block based on the whole life cycle data generated by the digital twin module, and generates management warning information. The block management module includes a block division sub-module, a load balancing sub-module and a cross-chain collaboration sub-module. The block division sub-module imports the device, terrain and hydrological information data of the water conservancy facilities, analyzes the device, terrain and hydrological information data of the water conservancy facilities through the computing device, aligns the geometric coordinates of the device, terrain and hydrological information data of the water conservancy facilities, and divides the water conservancy facilities into management blocks according to the grid division rule after the geometric coordinates are aligned. The load balancing sub-module classifies the computing load of the computing device of the management block, and sets the load threshold value corresponding to the classification according to the classification, and when the management computing task of the management block exceeds the preset load threshold value, the management computing task is sent to the computing device of the surrounding low-load management block, and the computing result is returned to the computing device of the corresponding management block after the calculation is completed. The cross-chain collaboration sub-module supports data sharing and decision-making collaboration between management blocks, builds an encrypted channel through the blockchain network module, verifies the data request sent according to the permission, transmits the shared data in a standardized format, triggers a joint decision-making process when encountering a cross-management block event, and synchronizes data and collaboratively generates a scheduling scheme.

[0020] In this embodiment, specifically, according to the device, terrain and hydrological information, the corresponding water conservancy facility area is divided into a plurality of unit management blocks by grid division, then various monitoring sensors are arranged according to the management block by distributed deployment, forming a perception network covering the whole water area and the whole facility, then a mapping unmanned aerial vehicle is used to take pictures and scan in the air to construct a three-dimensional image of the water conservancy environment and facilities, and the image is updated regularly to timely discover the changes of the terrain and hydrological information of the water conservancy environment. The operation data of the water conservancy facilities, the water area state of the water conservancy environment and the three-dimensional image are transmitted to the computing device deployed locally for data processing, and the processed data generates standardized data, which is then imported into the digital twin model. At the same time, the digital twin model calls the corresponding historical water conservancy data, and the digital twin model simulates the whole life cycle of water conservancy information through the two sets of data, and then generates the whole life cycle data of the corresponding division management block. At this time, the water conservancy workers can view the water conservancy information of each management block through the device of the management interaction module and can simultaneously manage and operate. When the user manages and operates, a single or multiple management blocks can be monitored, warned or instructed separately. Through the decentralized design of the blockchain network, each management block operates independently. At this time, the corresponding management block obtains the instruction information, and the computing device deployed locally can execute the instruction. In the running process of the water conservancy informatization management system, the health degree management module monitors the water conservancy facilities, water level, water area flow rate and water area flow rate and other water conservancy related contents in real time. When the running parameters of the equipment in the water conservancy facilities change, the health degree analysis is started. When the health degree score of the equipment is lower than the set threshold, the health risk warning information of the corresponding facility is generated and sent to the intelligent terminal of the water conservancy workers or the control center through the blockchain network, so as to timely feedback the maintenance and timely know the water conservancy equipment and water area risk, and then timely perform equipment maintenance or water area flood control operation.

[0021] Embodiment 2

[0022] Specifically: the division method of the management block division according to the data characteristics of the equipment, terrain and hydrological information of the water conservancy facility includes: Obtain three types of basic data of the equipment, terrain and hydrological information of the water conservancy facility. The data of the equipment includes: the data of the type, number, distribution position, function parameter and management unit of the water conservancy facility, the terrain includes: the spatial data of the basin elevation data, terrain slope, landform type and administrative boundary, and the hydrological information includes: the hydrological data of the basin water system distribution, river course, water flow direction, water level amplitude, flow characteristics and basin range. The features of the three types of basic data of the equipment, terrain and hydrological information of the water conservancy facilities are extracted, the weights are set according to the importance of the equipment, the functional relevance and the management distance of the water conservancy facilities, the weights are set based on the continuity, elevation difference and geographical barrier of the terrain, and the weights are set according to the water flow connectivity, watershed catchment relationship and water level influence range of the hydrological information; The weights of the equipment are taken as the basic points, the features of the associated terrain and hydrological information are extended outward from the features of the equipment within the distance, and then the range of the management block is determined to complete the division of the grid management block.

[0023] The distribution logic of the local computing equipment of the management block for distributing the management computing tasks according to the load is specifically: Firstly, the computing task amount and the computing importance of the management block are classified, and the importance of the equipment running in the management block, the complexity of the terrain and the change frequency of the hydrological information are classified into three levels of load area, i.e. heavy load area, medium load area and low load area; The three levels of load area adopt the mixed distribution of computing tasks of proof of work and weight proof, wherein the proof of work is based on the combination of the data of the equipment, terrain and hydrological information of the water conservancy facilities of the management block and the corresponding historical data, and the weight proof is determined based on the load classification and hardware resource configuration of the management block; When the computing amount of the heavy load area exceeds the set load threshold, the heavy load area manages the computing tasks to the medium load area and the low load area, and returns the computing results to the computing equipment of the heavy load area after the computing is completed, and the management computing tasks are preferentially distributed to the low load area.

[0024] The blockchain network module includes a distributed ledger submodule, a cross-chain communication submodule and a node management submodule; The distributed ledger submodule: after the digital twin module simulates the generation of the full life cycle data, the full life cycle data is stored by the distributed ledger submodule, and the full life cycle data is ensured to be unchangeable; The cross-chain communication submodule: used for transmitting the full life cycle data stored by the distributed ledger submodule to the water conservancy control center, and using the encryption transmission mode in the transmission process, and providing cross-chain data communication for data sharing between the management blocks; The node management submodule: used for generating the corresponding unique block identity recognition code for different management blocks, and when the full life cycle data is stored by the distributed ledger submodule, the full life cycle data is synchronously coded and matched, and then stored by encryption, and when the full life cycle data and the data sharing between the management blocks are transmitted by the cross-chain communication submodule, the node management submodule is used for verifying the corresponding block identity recognition code, and after the verification is passed, the transmission of the full life cycle data and the data sharing between the management blocks can be carried out; The health degree management module comprises a state monitoring submodule, a health evaluation submodule and a early warning response submodule; The state monitoring submodule: the blockchain network module uploads the whole life cycle data to the water conservancy control center, the state monitoring submodule identifies the uploaded whole life cycle data, judges the result of the whole life cycle data, and when the whole life cycle data has an abnormal value, it is judged that the corresponding management block has a risk, and is marked as a risk management block; The health evaluation submodule: based on the whole life cycle data of the risk management block, the specific abnormal points in the equipment, terrain and hydrological information data of the water conservancy facility are further analyzed and confirmed, the health evaluation submodule evaluates and predicts the abnormal points, evaluates the risk level of the abnormal points and predicts the potential risk projects existing in other equipment, terrain and hydrological information in the risk management block, and generates an evaluation report; The early warning response submodule: when the health score in the evaluation report is lower than the preset threshold, the early warning of the corresponding project is triggered, and the early warning information is generated and sent to the intelligent device of the worker or the server of the water conservancy control center, and the adjustment scheme corresponding to the early warning information is generated; In this embodiment, the weight setting adopts the analytic hierarchy process, which ensures that the influence degree of various features on the division of the block matches the actual management demand, and the weight proportion of equipment, terrain and hydrological information is 4:3:3. After confirming the weight, the equipment core area radiates outward, and the closely related terrain and hydrological area are included in the same block, so as to ensure the management coordination of the facilities and environment in the block. The heavy load area is the core hub facility or the hydrological dynamic frequent area, the medium load area is the conventional facility and stable hydrological area, and the low load area is the auxiliary facility or low dynamic area. The work quantity reflects the actual processing capacity of the node, and the weight reflects the task priority and hardware basis. The combination of the two realizes the reasonable allocation of tasks; The distributed ledger submodule adopts a chain storage structure and a hash encryption technology. Each data block is associated with the feature value of the previous block. Any tampering will cause a chain verification failure, ensuring data integrity and preventing data errors, ensuring the accuracy of water conservancy management. At the same time, through end-to-end encryption and data sharding blockchain transmission technology, the transmission efficiency is improved while ensuring security, supporting stable transmission of large-scale data, and preventing a large amount of data from being transmitted to the central server at the same time, causing the server load to collapse; The digital twin module establishes a digital twin model for simulation. It uses the Building Information Model (BIM) to construct a three-dimensional structural model of the water conservancy facility, accurately restoring detailed features such as the facility's geometry, component connections, and material properties. The Geographic Information System (GIS) provides a macroscopic geographic spatial framework, embedding the facility model within the real geographical environment, including topography and water system distribution, to achieve integrated modeling of the facility and its surrounding environment. A parametric design approach is used during model construction to associate the facility's key performance parameters with model components. For example, gate opening parameters are associated with the gate's geometric position in the model, and pump power parameters are associated with the pump's operating status in the model, enabling the model to truly reflect the facility's physical characteristics. The digital twin model has a built-in parameter update unit that automatically matches the corresponding model parameters based on the data type, such as the water height parameter for water level data updates and the equipment operating status parameter for equipment vibration data updates. Parameter updates use an incremental update strategy, adjusting only the changed parameters to reduce computing resource consumption and ensure efficient model updates. The parameter change history is simultaneously recorded during the update process, forming a parameter evolution curve to provide data support for trend analysis. The condition monitoring submodule synchronizes various data output by the digital twin module, including facility operating parameters, environmental monitoring data, and digital twin module simulation results. It establishes a data monitoring catalog, clarifies the monitoring frequency, threshold range, and abnormality judgment criteria for various types of data, and promptly detects abnormal data fluctuations by comparing data with standard ranges in real time, providing basic data support for health assessment. It also records data change trends to form long-term monitoring curves that reflect the evolution of facility status. The health assessment submodule constructs multi-dimensional assessment indicators. The equipment health assessment includes indicators such as the operational stability, performance degradation, and failure frequency of water conservancy facilities. The environmental health assessment includes indicators such as water quality compliance, ecological indicator compliance, and disaster risk level. Each indicator is quantitatively scored to obtain an overall health score. An assessment report is generated based on the scoring results. The report includes equipment and water health status analysis, potential problem diagnosis, and improvement suggestions, providing a basis for management decision-making. The early warning response submodule presets multi-level warning thresholds corresponding to different risk levels, such as general warning, important warning, and emergency warning. When the health score is lower than the corresponding threshold, the corresponding level of warning process is initiated, including sending warning information to staff, displaying warning signs on the system interface, and triggering sound and light alarm devices, etc. At the same time, it automatically associates emergency plans according to the warning level, provides handling process guidance and resource scheduling suggestions, and assists staff to quickly respond to warning events and reduce risk impacts.

[0025] Example 3

[0026] Specifically, the water conservancy informatization management system further comprises a data acquisition module, a data processing module, and a management interaction module. The data acquisition module is configured to acquire equipment operation parameters of the water conservancy facilities, hydrological information of water quality, water volume, and flow of the water conservancy facilities, and topographic three-dimensional images of the environment of the water conservancy facilities. The data processing module is configured to perform data processing on the data of the operation parameters, the topographic three-dimensional images, and the hydrological information collected by the data acquisition module, and output the data of the equipment, the topography, and the hydrological information of the water conservancy facilities after data processing. The management interaction module is configured to support the management operation of the water conservancy informatization management system by the staff and the state checking of the water conservancy informatization management system.

[0027] The management interaction module comprises a user interaction submodule and an AR visualization submodule. The user interaction submodule provides a graphical operation interface and supports the operation management of the water conservancy informatization management system by the staff. The AR visualization submodule superimposes and displays the simulation results of the digital twin module and the physical scene, and displays the informationization management state of the water conservancy facilities.

[0028] The data acquisition module comprises: Water level sensors, flow sensors, water quality sensors, equipment vibration sensors, and weather sensors are configured to acquire data of the equipment and the hydrological information of the water conservancy facilities, and are disposed in the equipment and the water environment of the water conservancy facilities. A drawing unmanned aerial vehicle is configured to acquire topographic data of the water conservancy facilities, and is equipped with a high-definition camera and a laser radar. In this embodiment, the AR visualization submodule obtains the current physical position and the visual direction of the user by spatial positioning, superimposes the virtual facilities and data indicators in the digital twin model on the real-time field of view of the user according to the actual spatial position, and directly displays the management to-be-repaired part in front of the staff during the repair process of the water conservancy facilities, thereby facilitating the staff to quickly locate the repair position. Similarly, for some risk early warning management of the water area, the staff can also directly view the position and problem of the water area risk through this technology. The AR visualization submodule supports multi-dimensional information display, and the staff can switch the display content by gestures or voice instructions, such as switching from facility operation parameters to hydrological trend prediction, to realize intuitive and efficient information acquisition. The drawing unmanned plane transmits laser pulses through a laser radar and receives reflected signals, obtains three-dimensional coordinates of the target by calculating signal propagation time, generates high-precision point cloud data, the unmanned plane flies according to a preset route to collect data, positioning and attitude control are performed in the flight process, the coherence and accuracy of data collection are ensured, and after the collection is completed, the data is automatically transmitted to a ground computing device for processing, thereby providing original spatial data for three-dimensional modeling.

[0029] Although embodiments of the present application have been shown and described, it will be understood by those having ordinary skill in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application.

Claims

1. A water conservancy information management system based on a digital twin model, characterized in that: The water conservancy information management system includes: a block management module, a digital twin module, a blockchain network module and a health management module; The block management module divides the management blocks into sections based on the equipment, terrain, and hydrological information data of the water conservancy facilities. Each of the management blocks has a local computing device deployed, and the local computing devices of the management block are used to distribute management computing tasks according to load. The digital twin module is used to simulate the entire life cycle of water conservancy facilities and hydrological environment. A digital twin model is established based on the acquired equipment, regional terrain and hydrological information data of the water conservancy facilities and the corresponding historical data. The digital twin model outputs full life cycle data simulating the equipment, terrain and hydrological information status of the water conservancy facilities. The digital twin module is deployed in the computing device of the block management module. The blockchain network module uses each management block as an independent management point. The management point is provided with a distributed ledger, which is used to store and manage the full life cycle data. The full life cycle data is written to the distributed ledger in an encrypted form. At the same time, cross-regional data sharing is achieved according to the allocation management of the block management module, and the full life cycle data is transmitted to the water conservancy control center through the blockchain network module; The health management module, based on the full life cycle data generated by the digital twin module, the water conservancy control center analyzes the full life cycle data of each management block, determines the status of the water conservancy facilities and hydrological environment, assesses the overall health level, and generates management warning information; The block management module includes: a block division submodule, a load balancing submodule and a cross-chain collaboration submodule; The block division submodule imports the equipment, terrain and hydrological information data of the water conservancy facility, analyzes the equipment, terrain and hydrological information data of the water conservancy facility through the computing device, aligns the geometric coordinates of the equipment, terrain and hydrological information data of the water conservancy facility, and divides the water conservancy facility into the management blocks according to the grid division rules after the geometric coordinates are aligned; The load balancing submodule is configured to classify the computing loads of the computing devices of the management blocks and set corresponding load thresholds according to the classification. When the management computing task of the management block exceeds the preset load threshold, the management computing task is sent to the computing devices of the surrounding management blocks with lower loads, and the computing result is returned to the computing device of the corresponding management block after the calculation is completed. The cross-chain collaboration submodule supports data sharing and decision-making collaboration between the management blocks. It builds an encrypted channel through the blockchain network module, verifies data requests sent according to permissions, and transmits shared data in a standardized format. When encountering an event across the management blocks, it triggers a joint decision-making process, and each management block synchronizes data and collaboratively generates a scheduling plan.

2. The water conservancy information management system based on the digital twin model according to claim 1 is characterized in that: The method for dividing the management blocks according to the equipment, topography and hydrological information data characteristics of the water conservancy facilities includes: Acquire three types of basic data: equipment, topography, and hydrological information of the water conservancy facilities. The equipment data includes: equipment type, quantity, distribution location, functional parameters, and management unit data of the water conservancy facilities. The topography includes: spatial data of watershed elevation data, terrain slope, landform type, and administrative division boundaries. The hydrological information includes: watershed water system distribution, river course, water flow direction, water level fluctuation, flow characteristics, and hydrological data of the watershed range. Extract the characteristics of the three basic data types of the water conservancy facilities: equipment, topography, and hydrological information; set weights based on the equipment importance, functional relevance, and management distance of the water conservancy facilities; set weights based on the continuity, elevation difference, and geographical barriers of the topography; and set weights based on the water flow connectivity, watershed catchment relationship, and water level influence range of the hydrological information; The weight of the device is used as a base point, and the associated features of the terrain and the hydrological information are divided according to the outward extension distance of the features of the device, thereby determining the scope of the management block and completing the gridded division of the management block.

3. The water conservancy information management system based on the digital twin model according to claim 1 is characterized in that: The allocation logic of the local computing device of the management block to distribute the management computing tasks according to the load is specifically as follows: First, the computing workload and computing importance of the management block are graded. The management block is divided into three load areas: heavy load area, medium load area, and low load area according to the importance of the equipment operation in the management block, the complexity of the terrain, and the frequency of change of the hydrological information. The three-level load area uses a hybrid of proof-of-work and proof-of-weight to distribute computing tasks, wherein the proof-of-work is based on a combined evaluation of the equipment, topography, and hydrological information data of the water conservancy facilities in the management block and the corresponding historical data, and the proof-of-weight is determined based on the load classification and hardware resource configuration of the management block; When the calculation amount of the heavy-load area exceeds the set load threshold, the heavy-load area will assign the management calculation tasks to the medium-load area and the low-load area, and return the calculation results to the computing device in the heavy-load area after the calculation is completed. When assigning the management calculation tasks, priority will be given to assigning them to the low-load area.

4. The water conservancy information management system based on the digital twin model according to claim 1 is characterized in that: The blockchain network module includes: a distributed ledger submodule, a cross-chain communication submodule and a node management submodule; The distributed ledger submodule: After the digital twin module simulates and generates the full life cycle data, the distributed ledger submodule encrypts and stores the full life cycle data to ensure that the full life cycle data cannot be changed; The cross-chain communication submodule is used to transmit the full life cycle data stored in the distributed ledger submodule to the water conservancy control center, using an encrypted transmission method during the transmission process, and providing cross-chain data communication for data sharing between the management blocks; The node management submodule is used to generate corresponding unique block identification codes for different management blocks. When the distributed ledger submodule stores the full life cycle data, the full life cycle data is synchronously encoded and matched, and then encrypted and stored. When the cross-chain communication submodule transmits the full life cycle data and shares data between the management blocks, the corresponding block identification code is verified by the node management submodule. After verification, the full life cycle data can be transmitted and data sharing between the management blocks can be carried out.

5. The water conservancy information management system based on the digital twin model according to claim 1 is characterized in that: The health management module includes: a status monitoring submodule, a health assessment submodule and an early warning response submodule; The status monitoring submodule: The blockchain network module uploads the full life cycle data to the water conservancy control center. The status monitoring submodule identifies the uploaded full life cycle data and judges the results of the full life cycle data. When there are abnormal values ​​in the data of the full life cycle data, it is judged that there is a risk in the corresponding management block and marked as a risk management block; The health assessment submodule further analyzes the full life cycle data of the risk management block to identify specific abnormal points in the equipment, terrain and hydrological information data of the water conservancy facility. The health assessment submodule evaluates and predicts the abnormal points, assesses the risk level of the abnormal points, and predicts potential risk items in other equipment, terrain and hydrological information within the risk management block, and generates an assessment report; The early warning response submodule: When the health score in the assessment report is lower than the preset threshold, an early warning of the corresponding project is triggered, and an early warning message is generated and sent to the staff's smart device or the server of the water conservancy control center, and an adjustment plan corresponding to the early warning information is generated.

6. The water conservancy information management system based on the digital twin model according to claim 1 is characterized in that: The water conservancy information management system also includes: a data acquisition module, a data processing module and a management interaction module; The data acquisition module is used to collect equipment operating parameters of the water conservancy facility, hydrological information of water quality, water quantity and flow of the water conservancy facility, and three-dimensional topographic images of the water conservancy facility environment; The data processing module is used to process the operating parameters, three-dimensional terrain images, and hydrological information data collected by the data collection module, and output the processed equipment, terrain, and hydrological information data of the water conservancy facility, which is deployed in the computing device; The management interaction module is used to support staff in managing and operating the water conservancy information management system and viewing the status of the water conservancy information management system.

7. The water conservancy information management system based on the digital twin model according to claim 6 is characterized in that: The management interaction module includes: a user interaction submodule and an AR visualization submodule; The user interaction submodule provides a graphical operation interface to support staff in operating and managing the water conservancy information management system; The AR visualization submodule is used to superimpose the simulation results of the digital twin module with the physical scene to display the information management status of the water conservancy facilities.

8. The water conservancy information management system based on the digital twin model according to claim 7 is characterized in that: The data acquisition module includes: Water level sensors, flow sensors, water quality sensors, equipment vibration sensors and meteorological sensors are used to collect equipment and hydrological information data of the water conservancy facilities and are deployed in the equipment and water environment of the water conservancy facilities; A mapping drone equipped with a high-definition camera and lidar is used to collect terrain data of the water conservancy facilities.

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