A monitoring and early warning system and method for tobacco wastewater
By combining distributed sensor networks and intelligent analysis and decision-making modules with LSTM and isolated forest algorithms, accurate monitoring and efficient early warning of tobacco wastewater have been achieved, solving the problem of high false alarm and missed alarm rates in existing technologies and meeting the environmental protection management needs of the tobacco industry.
Patent Information
- Application Number
- CN202610317375.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing tobacco wastewater monitoring and early warning technologies lack specificity, failing to achieve accurate and efficient monitoring and early warning, resulting in high false alarm and missed alarm rates, and are unable to meet the environmental management and control needs of the tobacco industry.
By employing a distributed sensor network, a dynamic parsing engine, and an intelligent analysis and decision-making module, combined with an LSTM model and an isolated forest algorithm, the system acquires and analyzes water quality and pollutant data of tobacco wastewater in real time, and provides early warnings by comprehensively assessing the pollution level.
It enables precise monitoring and efficient early warning of tobacco wastewater, reduces false alarm rate, adapts to the characteristics of tobacco processing technology, provides multi-level early warning mechanism and visual reports, and supports environmental protection management.
Smart Images
Figure CN122409978A_ABST