Adaptive multi-channel water environment monitoring method and system based on internet of things

CN122473915BActive Publication Date: 2026-10-16GUANGZHOU SHUYING TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610596518.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-30
Publication Date
2026-10-16
Estimated Expiration
2046-04-30

AI Technical Summary

Technical Problem

[0004]然而，在污染事件酝酿但尚未在浓度变化率上充分显现的早期阶段，系统可能因“变化不显著”而维持较低采样频率，错失捕捉污染点的最佳时机

Benefits of technology

[0015]The solution provided in this application constructs a multi-channel control engine for real-time sensing, evaluation, and prediction of future water quality trends. Based on real-time sensing, evaluation, and time-series risk prediction, multiple channels work together and trigger predictions on demand, generating control commands. This solution utilizes a multi-channel control engine that integrates real-time frequency modulation and predictive frequency modulation for multi-channel frequency modulation control. The real-time frequency modulation channel calculates current water quality parameters and detects sudden changes in real time, generating frequency modulation commands while simultaneously providing the predictive frequency modulation channel with multi-dimensional input constraints on real-time water quality status, deterioration trends, and sudden change characteristics. This corrects the model input boundaries, suppresses prediction drift and false alarms, and improves the accuracy and adaptability of time-series predictions. Simultaneously, the predictive frequency modulation channel provides future risk trends, dynamically adjusting the sensitivity of real-time frequency modulation to detect sudden changes, enabling early warning in high-risk scenarios. This allows the system to enter a highly sensitive state before pollution arrives, capturing weak precursor signals earlier and effectively shortening the anomaly response time. In low-risk scenarios, it filters out invalid disturbances, effectively reducing the probability of misjudgment and misadjustment, improving control accuracy and equipment lifespan. Furthermore, the proposed solution can filter out invalid disturbances in low-risk scenarios, effectively reducing the probability of misjudgment and misadjustment, and improving adjustment accuracy and equipment lifespan.

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Abstract

The application relates to the technical field of water environment monitoring data processing, in particular to a self-adaptive multi-channel water environment monitoring method and system based on the Internet of Things. According to the application, a multi-channel regulation and control engine is constructed to realize multi-channel frequency regulation control in cooperation with real-time frequency regulation and prediction frequency regulation. The current water quality parameters and mutation detection are calculated in real time through the real-time frequency regulation channel, the frequency regulation instruction is generated, and meanwhile, the real-time water quality state, deterioration trend and mutation characteristics are provided as multi-dimensional input constraints for the prediction frequency regulation channel, the model input boundary is corrected, the prediction drift and false alarm are inhibited, the time sequence prediction accuracy and scene adaptability are improved; the future risk trend provided by the prediction frequency regulation channel is used to dynamically correct the real-time frequency regulation mutation discrimination sensitivity, early warning in a high-risk scene is realized, the high-sensitive state is entered before pollution reaches the early stage, weak precursor signals can be captured earlier, early warning is realized, and the abnormal response time is effectively shortened.
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