Secondary water supply management and control method, device and equipment based on digital twinning, and medium

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, performing deep temporal feature extraction and knowledge graph root cause inference, and realizing cross-domain federated encrypted interaction, the problem of insufficient information linkage in existing secondary water supply management methods is solved, and the overall management efficiency and security of the water supply system are improved.

CN122198368APending Publication Date: 2026-06-12SHENZHEN SHENSHUI WATER RESOURCES CONSULTING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN SHENSHUI WATER RESOURCES CONSULTING CO LTD
Filing Date
2026-05-12
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

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 not being able to be managed in a unified manner as a whole, leading to low efficiency in water supply security and multi-party collaboration.

Method used

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.

Benefits of technology

It has achieved the integration of data perception, digital twin modeling, trusted evidence storage, intelligent prediction and cross-domain collaboration, which has improved the overall management and control efficiency and water supply security of the secondary water supply system.

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Abstract

The application relates to the technical field of artificial intelligence, and discloses a secondary water supply management and control method and device based on digital twinning, equipment and medium.The method comprises the following steps: performing edge filtering calibration and space-time alignment and convergence processing on multi-source heterogeneous sensing data of a secondary water supply facility, then performing three-dimensional digital twinning model construction to obtain digital twinning topological deduction data; then performing device digital identity generation and on-chain notarization processing to obtain trusted device life cycle data; then performing deep time sequence feature extraction and dynamic confidence interval modeling processing to obtain water quality evolution prediction data; then performing knowledge graph root cause deduction processing to obtain judgment closed-loop management and control data; and finally performing cross-domain federal ciphertext interaction processing to obtain collaborative business operation data.The application integrates data sensing, digital twinning modeling, trusted notarization, intelligent prediction, root cause diagnosis and cross-domain collaboration into an integrated collaborative management and control process, effectively improving the overall management and control efficiency and water supply safety guarantee capability of the secondary water supply system.
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