摘要
云计算和图像处理技术的应用极大地改变了森林火警监测的方式。基于云架构的森林火警监测技术在检测实时性和图像算法可配置性方面均存在不足。为了解决这些问题,设计了一种基于边缘计算的森林火警监测系统。系统采用边缘计算的方式,利用森林监测站的边缘计算机或服务器执行火灾检测的图像处理任务,提高了火灾检测和预警的实时性。另外,系统引入了算法重配置的功能模块,以便火灾识别算法的迭代与更新,减少了系统二次开发的成本,进一步增强了系统的实用性。
The application of cloud computing and image processing technology has greatly changed the way of forest fire monitoring.The forest fire monitoring system based on cloud architecture has shortcomings in real-time detection and image algorithm configuration. In order to solve these problems, a forest fire monitoring system based on edge computing was designed. This system adopts the edge computing method and uses edge computers or servers in forest monitoring stations to perform image processing tasks of fire detection, which significantly improves the real-time performance of fire detection and early warning.On the other hand, the system introduces a function module for algorithm reconfiguration, which facilitates the iteration and update of the algorithms, reduces the cost of system redevelopment, and further improves the practicability of the system.
作者
张科
叶影
张红
ZHANG Ke;YE Ying;ZHANG Hong(Zhejiang Forestry Tech no logy Extension Center(Zhejiang Forestry Informatio n lech no logy and Publicity Centre),Hangzhou 310020, China;Beijing Aerospace Titan lech no logy Co., Ltd., Beijing 100071, China)
出处
《大数据》
2019年第2期79-88,共10页
Big Data Research
基金
浙江省科技计划基金资助项目(No.2017C02044)~~
关键词
森林火警监测
云计算
边缘计算
forest fire monitoring
cloud computing
edge computing
