A stationary source atmospheric pollutant and greenhouse gas on-line monitoring, analyzing and early warning system
By constructing a system with a three-tier architecture of data acquisition, transmission and processing, and application and early warning, the system achieves coordinated monitoring and early warning of stationary source air pollutants and greenhouse gases. This solves the problems of independent equipment, data silos, and delayed early warning in existing technologies, and improves the accuracy and foresight of monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN BINHAI RES INST FOR ENVIRONMENTAL INNOVATION
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing stationary source online monitoring systems lack the ability to monitor air pollutants and greenhouse gases in a coordinated manner, resulting in redundant investment in equipment, serious data silos, and difficulty in achieving intelligent analysis and refined management of multi-factor coordinated changes. Monitoring data is susceptible to network failures, lacks effective data cleaning and verification mechanisms, and cannot provide early warnings of potential emission exceedance risks.
A collaborative online monitoring, analysis, and early warning system for stationary source air pollutants and greenhouse gases is constructed, comprising a data acquisition layer, a data transmission and processing layer, and a data application and early warning layer. The data acquisition layer performs real-time monitoring through sampling preprocessing units and pollutant and greenhouse gas monitoring units. The data transmission layer has breakpoint resume and multi-dimensional cleaning and verification functions. The data application and early warning layer constructs a three-level early warning model for real-time risk detection, cumulative emission assessment, and future trend prediction.
It enables coordinated monitoring of multi-component gases emitted from industrial stationary sources, improves the accuracy and reliability of monitoring data, can keenly capture real-time emission risks, assess process compliance, and predict future exceedance risks in advance, providing full-chain environmental management and enterprise emission reduction support.
Smart Images
Figure CN122409958A_ABST