Unmanned aerial vehicle VOCs monitoring data management system based on artificial intelligence
By using an AI-based drone VOCs monitoring data management system, which combines multiple types of sensors, edge intelligent processing, and multi-drone collaborative scheduling, the system solves the problems of limited monitoring coverage and high data latency in existing technologies, and achieves efficient and accurate VOCs monitoring and real-time source tracing.
Patent Information
- Application Number
- CN202610028242.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-09
- Publication Date
- 2026-02-06
- Estimated Expiration
- 2046-01-09
AI Technical Summary
Existing drone-based VOCs monitoring technologies suffer from problems such as limited monitoring coverage, high data latency, low monitoring accuracy, low resource utilization, and data transmission congestion, failing to meet the needs of real-time source tracing and monitoring in complex terrain.
An AI-based drone VOCs monitoring data management system is adopted, which includes a drone platform, a VOCs monitoring module, an edge intelligent processing module, a communication transmission module, a cloud data analysis and comparison module, and an intelligent early warning module. Through the combination of multiple types of sensors, edge intelligent processing, multi-drone collaborative scheduling, federated learning, and multiple communication modules, real-time data processing and efficient data transmission are achieved.
It improves data accuracy and response efficiency, ensures full coverage, provides precise decision support, adapts to multiple application scenarios, and enhances the adaptability and real-time performance of the monitoring system.