In the construction of new smart cities, digital twins can be used in application scenarios such as digital twin watershed construction, digital twin drainage pipe networks, and digital twin bridge anti-collision command, and perform digital, refined, and visualized management.
1. Digital twin watershed policy environment:
On December 23, 2021, the Ministry of Water Resources held a work meeting to promote the construction of digital twin watersheds. Li Guoying, Minister of Water Resources, proposed: “Digital twin watersheds are With the physical watershed as the unit, spatiotemporal data as the base, mathematical model as the core, and water conservancy knowledge as the driver, digital mapping and intelligent simulation of all elements of the physical watershed and the entire process of water conservancy management and management are implemented to achieve synchronous simulation operation and virtual-real interaction with the physical watershed. , iterative optimization", while emphasizing that digitalization, networking, and intelligence are the main lines, digital scenarios, intelligent simulations, and precise decision-making are the paths, and the construction of data, algorithms, and computing power is the support to accelerate the construction of digital twin river basins. , to realize the functions of forecast, early warning, preview and plan.
2. Current status of water conservancy informatization development:
① Insufficient ability to thoroughly perceive:
The coverage and elements of water conservancy perception are incomplete. For hydrological information and environmental information , engineering information and other aspects of monitoring capabilities can no longer meet the needs of existing business development and management. Although information collection can now be carried out through ground, water, aviation, aerospace and other technologies and equipment, the overall level of intelligence is still relatively low. degree. There is still a long way to go in terms of the requirements for the digital twin watershed system to be built. Internet of Things technology and equipment have not been fully utilized, and the basic communication capabilities are relatively weak, and there are deficiencies in network bandwidth and emergency measures.
② Lack of "computing power" of information infrastructure:
Among the existing water conservancy business networks, only 6 provinces (autonomous regions) have water conservancy business networks that can reach township-level water conservancy units , for project management units, the connectivity rate is even lower, which seriously hinders the development principle of "three-level deployment and multi-level application" for water conservancy business applications. The backbone network cannot meet the existing needs of data transmission and service invocation. Faced with the rapid growth of more and more images, images and other data, there is a lack of big data processing, cloud computing and data storage capabilities.
③The development and utilization of information resources needs to be improved:
The internal information system of water conservancy lacks integration, resulting in incomplete basic information of existing water conservancy facilities, low accuracy, inconsistent basic data, and object codes There are issues such as inconsistency and inconsistent data standards, and there is a phenomenon of data "re-acquisition and re-storage" among various businesses and departments at all levels. At the same time, there is a lack of sharing of closely related external information such as geological information and insufficient linkage.
④ There is a large gap in the intelligent level of business applications:
In the existing water conservancy information system, water conservancy projects, water resources development, flood and drought prevention, soil and water conservation and other businesses all have business and The integration of information technology is not deep, the level of intelligence is insufficient, and emerging technologies such as 5G, AI, big data, and the Internet of Things are not fully applied, which ultimately leads to the problem that the information system is weak in supporting business development.
3. Water conservancy digital twin, realizing digital mapping and intelligent simulation of physical space
Guangdong Ground and Air Intelligent Technology Co., Ltd. collaborated with water conservancy professional institutions to conduct relevant research in the field of smart water conservancy. and practice, through the perception layer to capture real-time monitoring data, and integrate various basic water conservancy data based on more than ten high-tech technologies such as full digital measurement, big data, cloud computing, geographical information, three-dimensional virtual models, artificial intelligence, and blockchain, Taking water conservancy spatio-temporal data as the key research object, focusing on the management, display and analysis of water conservancy data, conducting precise, comprehensive and dynamic simulation of water conservancy space, building horizontal sharing and vertical linkage of water conservancy business, in order to realize water conservancy at all levels Inter-department information connectivity truly opens up water-related information silos, breaks the segmentation of water-related business, and provides managers with visual and convenient support for safety analysis and evaluation, project operation and maintenance management, flood control dispatch management, comprehensive display, etc.
The digital twin water conservancy information supervision platform integrates three major systems: digital twin watershed management system, digital twin simulation system and digital twin knowledge service system. It integrates and gathers multi-source data to establish a full time and space, multi-dimensional and multi-granular water conservancy system. Resource pool to achieve integrated management of water conservancy data assets; on the one hand, upgrade and expand the water conservancy map to build a digital backplane with unified basic data, collection of monitoring data, two- and three-dimensional integration, and three-level collaboration to provide high-security water conservancy scenarios True, highly stable, and high-quality simulation; on the other hand, it integrates coupled multi-dimensional and multi-spatial-temporal water conservancy professional models and AI intelligent models to provide "four predictions" capabilities integrating analysis, simulation, expression, and decision-making, which is "2 N "The business provides intelligent services.
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The digital twin water conservancy information supervision platform focuses on digital twins, with the physical watershed as the unit, water conservancy spatio-temporal data as the base, and watershed data integration and visualization, water conservancy Simulation is the core, driven by water conservancy knowledge, and uses technologies such as the Internet of Things, big data, artificial intelligence, and virtual simulation to achieve digital mapping and intelligent simulation of the entire domain, all elements, and the entire process in the physical space to support precise decision-making on water conservancy. .
Four. Integrate data and build a digital twin water conservancy big data center:
Based on data standards and specifications related to the water conservancy industry, sort out the water conservancy data resource directory, access and integrate multiple time and space, Multi-granularity and multi-dimensional water conservancy data, including basic geospatial data, business management data, monitoring sensing data, cross-industry shared data, etc., have been standardized to form a digital twin water conservancy big data center to provide users with unified standard data. Serve.
5. Classification and storage to form a panoramic view of water conservancy spatio-temporal big data:
Category fusion and aggregation of multi-spatial and spatial, multi-granularity and multi-dimensional water conservancy data to build water conservancy data resources with consistent standards The pool forms a panoramic view of water conservancy spatio-temporal big data, providing users with comprehensive, multi-spatial and multi-granular full spatio-temporal data resource services.
Subsystem 1: Digital twin watershed management system
The digital twin watershed management system is the basis of the digital twin water conservancy information supervision platform. It mainly builds a data base to provide simulation and knowledge The service provides massive data support. The system builds a unified portal, accesses multi-source water conservancy spatio-temporal data, breaks data barriers, and realizes unified data management; establishes a virtual mapping from physical space to digital space, and constructs a water conservancy spatio-temporal panorama; comprehensively uses the Internet of Things, cloud computing, and big data , artificial intelligence, geographical information and other new information technology means, provide massive data analysis capabilities, realize precise, comprehensive and dynamic simulation of water conservancy space, and provide support for refined management.
①Multi-source heterogeneous data access to achieve unified data management
②"Physical-digital" full mapping to form a "one picture" of water conservancy resources:
③Software and hardware support to facilitate massive data analysis:
Subsystem 2: Digital twin simulation system
The digital twin simulation system is an upgrade of the digital twin watershed management system. It mainly provides high-fidelity, low-latency, and highly stable three-dimensional visualization scenes to provide support for detailed, quantified, dynamic, and intuitive computing analysis. The system is based on high-efficiency graphics visualization technology for large scenes, and uses a series of technologies such as lightweight webp block storage subdomains to improve overall loading efficiency and browsing fluency, and achieve high-fidelity and high-quality spatialization of multi-source, multi-dimensional, and multi-granularity data. Representation and simulation modeling.
Subsystem three: Digital twin knowledge service system
The digital twin knowledge service system is the core content and ultimate goal of the digital twin water conservancy information supervision platform. It mainly integrates and couples multi-dimensional and multi-time and space. Scale data model provides "four predictions" capabilities. On the basis of sharing various calculation models and calculation results from the Ministry of Water Resources and river basin management agencies, the system builds water conservancy professional models, artificial intelligence models and water conservancy knowledge models on demand, forming a digital twin water conservancy model library to provide project scheduling , safety monitoring, knowledge mining and other intelligent services to achieve comprehensive decision-making and command with the functions of “forecast, early warning, preview, and plan”.
①Integrate professional water conservancy models to promote accurate water conservancy simulation:
Focusing on the fields of smart water conservancy and spatial intelligence, Guangdong Ground and Air Intelligent Technology Co., Ltd. is committed to creating professional hydrology-hydropower- The water quality coupling model supports flood control and drought relief in river basins and regions, dispatch and management of water resources and water environment, flood control and drainage and water environment management in smart cities, emergency dispatch and command of water pollution in large rivers, etc., and promotes accurate simulation and analysis of water conservancy.
②Introduce AI intelligent models to help intelligent decision-making in water conservancy:
Use remote sensing AI, video AI and other technologies to automatically interpret and process remote sensing images, and analyze rainwater conditions, work conditions, etc. Achieve large-scale dynamic monitoring and early warning of emergencies, dangers, droughts, soil erosion, water quality and water environment, illegal sand mining, water shoreline occupation, etc., and improve water conservancy safety monitoring capabilities.
③ Establish a water conservancy knowledge model to support water conservancy knowledge services:
Driven by the model library and knowledge base, quickly analyze and judge, optimize and improve emergency plans, and cooperate with personnel terminal information interaction to provide Support is provided by multi-party consultations within the unit and with river basin management agencies and the Ministry of Water Resources, as well as emergency dispatch and command of relevant human and material resources.