Analysis of the Application Effect of the Internet of Things Forest Fire Infrared Monitoring and Early Warning System in Guangxi Gaofeng Forest Park
This paper aims to delve into the application effects of the Internet of Things(IoT)forest fire infrared monitoring and early warning system in forest fire prevention practices,providing theoretical foundations and technical support for enhancing forest fire prevention and control capabilities through scientific evaluation of its performance.This paper employs mathematical statistical to analyze the alarm data collected by the system in Guangxi Gaofeng Forest Park from 2021 to 2023.By comparing and analyzing the changes in data before and after the system's activation,particularly key indicators such as warning time,location,and frequency,a comprehensive assessment of the system's effectiveness is conducted.This paper finds that it has successfully achieved precise i-dentification and real-time monitoring of critical prevention and control areas,effectively narrowing the scope of fire hazard investigations,since the system's implementation.Additionally,the system's timely response and accu-rate warnings have reduced the incidence of fire risk events by 62.86%,significantly mitigating potential econom-ic losses and ecological damage.The application of this system in Guangxi Gaofeng Forest Park has achieved re-markable results,which not only improves the efficiency of forest fire prevention efforts but also decreases the oc-currence of fire risks.The promotion and application of this system hold significant importance for the moderniza-tion and intellectualization of forest fire prevention.
forest fire infrared monitoringInternet of Things(IoT)data analysis