基于数字孪生的二次供水管控方法、装置、设备及介质
By acquiring multi-source heterogeneous sensing data, performing edge filtering calibration and spatiotemporal alignment convergence, constructing a three-dimensional digital twin model, generating digital identities for devices and storing them on the blockchain, and performing deep temporal feature extraction and knowledge graph root cause inference, the problem of insufficient information linkage in existing secondary water supply management methods is solved, thereby improving the overall management efficiency and security of the water supply system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN SHENSHUI WATER RESOURCES CONSULTING CO LTD
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing secondary water supply management methods lack information linkage mechanisms, making it difficult to form unified management and control throughout the entire process. This results in data and decision-making results from each link being difficult to be managed in a unified manner within the overall system, leading to low efficiency in water supply security and multi-party collaboration.
By acquiring multi-source heterogeneous sensing data, performing edge filtering calibration and spatiotemporal alignment convergence, constructing a three-dimensional digital twin model, generating device digital identities and storing them on the blockchain, extracting deep temporal features and modeling dynamic confidence intervals, performing knowledge graph root cause inference, realizing cross-domain federated encrypted interaction, and forming collaborative business operations.
It achieves an organic combination of data perception, digital twin modeling, trusted evidence storage, intelligent prediction, and cross-domain collaboration, thereby improving the overall management and control efficiency and water supply security of the secondary water supply system.
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Figure CN122198368B_ABST