Pollution traceability system and method based on water quality and water quantity monitoring and analysis of drainage system
Through distributed sensor networks and multivariate analysis technology, combined with geographic information system and drainage basin model, the difficulties in identifying and positioning pollution sources in existing drainage system monitoring technologies are solved, and efficient and accurate pollution traceability and governance decision support are achieved.
Patent Information
- Application Number
- CN202510045348.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-13
- Publication Date
- 2025-05-09
- Estimated Expiration
- 2045-01-13
AI Technical Summary
The existing drainage system monitoring technology has problems such as poor real-time, limited coverage and low monitoring efficiency, making it difficult to accurately identify and locate pollution sources, resulting in insufficient accuracy and reliability of pollution traceability.
Water quality and water volume data are collected in real time through a distributed sensor network, combined with denoising treatment and anomaly detection algorithm, and multivariate analysis and spatiotemporal correlation analysis model are used to build a nonlinear superposition effect correction model, combine geographic information system and drainage basin model to simulate the spread process of pollutants and locate the geographical location of the pollution source.
It improves the accuracy of monitoring data, effectively identifies real pollution sources, solves the problem of "false peaks" interference, realizes the accuracy and reliability of pollution traceability, provides real-time decision-making support, and guides pollution control and emergency response.
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Figure CN119959494A_ABST
Abstract
Citation Information
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