基于物联网大模型的城市热岛效应应急监控系统和方法
By integrating multi-source data through a large IoT model, the heat island level can be accurately determined and sprinkler trucks and spray systems can be controlled, solving the problem of limited coverage of traditional monitoring systems and realizing efficient and intelligent emergency monitoring and cooling measures for the urban heat island effect.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU QINCHUAN IOT TECH CO LTD
- Filing Date
- 2026-03-10
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional urban heat island effect monitoring systems have limited coverage and cannot fully and meticulously reflect the complex changes in the urban thermal environment, resulting in delayed emergency cooling responses and a lack of targeted measures.
An emergency monitoring system for the urban heat island effect based on an IoT big data model is adopted. By integrating remote sensing data, meteorological station data, environmental data and urban activity data, the heat island level is determined, and target nodes and cooling parameters are accurately matched based on the heat island level to control sprinkler trucks and spray systems to carry out personalized cooling operations.
It improves the accuracy of urban heat island effect monitoring and the targeting of emergency cooling, reduces resource waste, shortens emergency response time, and enhances the timeliness and intelligence of emergency response to urban heat island effect.
Smart Images
Figure CN121836288B_ABST