基于边缘计算的森林火警监测系统

张科; 叶影; 张红

doi:10.11959/j.issn.2096-0271.2019015

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基于边缘计算的森林火警监测系统

专题：边缘计算 | 更新时间：2024-06-03

- 基于边缘计算的森林火警监测系统
- Forest fire monitoring system based on edge computing
- 大数据 2019年5卷第2期页码：2019015-1
- 作者机构：
  
  1. 浙江省林业技术推广总站（浙江省林业信息宣传中心），浙江杭州 310020
  2. 北京航天泰坦科技股份有限公司，北京 100071
- 作者简介：
  
  [ "张科（1978- ），女，浙江省林业技术推广总站（浙江省林业信息宣传中心）副研究馆员、副主任，主要研究方向为“互联网+林业”、林业信息安全等。" ]
  [ "叶影（1986- ），女，浙江省林业技术推广总站（浙江省林业信息宣传中心）中级工程师，主要研究方向为地理信息系统、遥感、“互联网+林业”、网络安全等。" ]
  [ "张红（1993- ），女，北京航天科技股份有限公司技术工程师，主要研究方向为林业信息化。" ]
- 基金信息：
  
  浙江省科技计划基金资助项目;The Science and Technology Program of Zhejiang(2017C02044)
- DOI：10.11959/j.issn.2096-0271.2019015
  中图分类号： S762.2
- 网络首发：2019-03，
  
  纸质出版：2019-03-15
- 稿件说明：
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张科, 叶影, 张红. 基于边缘计算的森林火警监测系统[J]. 大数据, 2019,5(2):2019015-1.

Ke ZHANG, Ying YE, Hong ZHANG. Forest fire monitoring system based on edge computing[J]. Big Data Research, 2019, 5(2): 2019015-1.
张科, 叶影, 张红. 基于边缘计算的森林火警监测系统[J]. 大数据, 2019,5(2):2019015-1. DOI： 10.11959/j.issn.2096-0271.2019015.

Ke ZHANG, Ying YE, Hong ZHANG. Forest fire monitoring system based on edge computing[J]. Big Data Research, 2019, 5(2): 2019015-1. DOI： 10.11959/j.issn.2096-0271.2019015.

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。

Abstract

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.

关键词

Keywords

references

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