Dams serve as key nodes of the national water network. Amid frequent extreme precipitation events, higher standards are required for their safe operation and emergency dispatching. The industry currently faces three major pain points: poor integration of spatial structure models with business functions resulting in obvious disconnection; long analysis cycles of traditional mechanism models that fail to meet real-time decision-making needs; and data latency between front-end intelligent perception and back-end platforms, restricting the comprehensive dispatching efficiency of reservoirs. The water conservancy industry urgently needs to break down multi-source data barriers of dams, build efficient intelligent analysis models, and establish a real-time decision-making and management system to empower the development of new quality productive forces in water conservancy.
BWTON focuses on the research and development of spatial intelligence technologies for intelligent dams, and has built a full-link product system covering domestically developed digital infrastructure, vertical industry models and embodied intelligence inspection training platforms. It provides full-cycle intelligent services for new and existing dams, facilitates the transformation of water conservancy governance from passive response to active prediction, and delivers solid technical support and practical implementation solutions.
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Build a Unified Digital Base for DamsBased on the self-developed uTwin integrated platform, it dynamically matches BIM 3D spatial data, GIS geographic information, object relationships and other data with business data, realizing real-time linkage between spatial data and business scenarios.
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Establish Mechanism-Data Fusion Intelligent Model LibraryCombining the high accuracy of mechanism models and the high efficiency of machine learning models, it forms low-code agent models covering the full life cycle of intelligent construction and intelligent operation and maintenance, such as intelligent temperature control, intelligent rolling construction, engineering safety analysis and watershed dispatching, so as to improve decision-making timeliness.
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Build an Intelligent Inspection PlatformRelying on the self-developed embodied intelligence inspection platform, unmanned autonomous inspection is realized by UAVs and robots. With AI intelligent identification, real-time hidden danger analysis and automatic early warning, it achieves synchronous inspection and perception, eliminates data entry delay, and ensures safe and efficient reservoir management.
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Construct Multi-scenario Application AgentsBuild four core intelligent agents covering engineering safety, intelligent construction, flood control & benefit generation, and emergency decision-making. It enables front-line staff to quickly build customized applications, supports flexible expansion from digital base to scenario-based services, and adapts to different dam types and engineering stages.
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Improve Dam Safe Operation CapacityBased on a unified digital base and second-level intelligent fusion computing models, it realizes 3D visualization of engineering structures and flood processes, and enhances the capability of projects to cope with extreme precipitation.
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Reduce Engineering O&M CostsAdopt intelligent construction technologies to boost construction efficiency and lower project costs. Intelligent inspection via UAVs and robots cuts manpower input and eliminates potential safety hazards. Lightweight modeling reduces data storage and operation costs to achieve cost reduction and efficiency improvement.
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Promote Intelligent Engineering UpgradeWith the application of spatial intelligence, artificial intelligence and other technologies, it builds smart dams with self-perception, self-analysis, self-decision and self-control capabilities, driving the upgrade from digital dams to intelligent dams.
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Optimize Water Network Dispatching & ManagementRealize real-time linkage between spatial data and business scenarios, support rapid response of intelligent agents for flood control, water resource utilization and emergency decision-making, and enable accurate rehearsal of cross-basin dispatching, so as to comprehensively improve the management efficiency of key nodes in the national water network.
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To fix frequent flood risks, fragmented platforms, sparse data and poor inter-department coordination, the project unifies existing data and integrates remote sensing, GIS and BIM on a shared digital base. Built-in systems support waterlogging, landslide & flood assessment plus emergency response. It enables real-time rainfall monitoring, analysis and dispatch. Hundreds of alerts were issued in 2025 flood season. -
Aimed at aging IT systems, incomplete monitoring, delayed alerts and unscientific dispatching of old reservoirs, the platform upgrades full-range smart sensing and smart service modules. Its Level-3 real-scene model boasts ≤5cm horizontal precision, over 3-day flood forecast lead time and minute-level dispatching plans to simulate downstream water regime and bolster flood resistance. -
To resolve hazards, terrain limits and incomplete frequent manual inspections, the platform deploys robotic dogs and indoor drone swarms. Powered by spatial AI, equipment navigates GPS-free spaces, identifies dam defects via edge computing and triggers auto-alerts. It realizes all-weather unattended corridor patrol with over 95% fault identification accuracy, cutting inspection time and forming full-cycle smart maintenance.
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