智慧保护地管理云平台系统设计与研究
Design and Research of Management Cloud Platform System for Intelligent Protected Areas
谷洁 1唐浩文 1宋宏伟 2刘楠1
作者信息
- 1. 国家林业和草原局西北调查规划院,陕西西安 710048;旱区生态水文与灾害防治国家林业局重点实验室,陕西西安 710048
- 2. 西安数维智云测绘技术有限公司,陕西西安 710199
- 折叠
摘要
针对保护地数据收集较为困难、管理云平台的利用普遍低下等问题,对智慧保护地管理云平台系统进行设计与研究.采用分布式系统对智慧保护地管理云平台进行设计,其结构可分为感知层、网络层和应用层.感知层主要采用无人机遥感技术实现对保护地数据的采集;网络层在窄带物联网技术上增加一个定时节能模块,可在对采集到的信息传送时节省功耗;应用层主要是对数据存储进行设计,可避免产生冗余重复数据,节省数据空间,增强索引能力和响应速度.通过试验,验证了数据采集的完整度和帧图像分辨率的稳定性都较传统方法更为优越.管理云平台数据存储占用空间较传统方法少,且随着数据量的增加,增长幅度更为均匀.
Abstract
In response to the difficulties in collecting data from protected areas and the generally low utilization of cloud platforms for management,a smart protected area management cloud platform system was designed and studied.A distributed system was designed for the intelligent protected area management cloud platform,which can be divided into perception layer,network layer,and application layer in structure.The perception layer mainly used unmanned aerial vehicle remote sensing technology to collect data from protected areas;the network layer added a timing energy-saving module to narrowband IoT technology,which can save power consumption when transmitting collected information;the application layer mainly designed data storage to avoid redundant duplicate data,save data space,enhance indexing ability and response speed.Through experiments,it has been verified that the integrity of data collection and the stability of frame image resolution have distinct advantages over traditional methods.Management cloud platform data storage takes up less space than traditional methods'need,and as the amount of data increases,the growth rate becomes more uniform.
关键词
智慧保护地/管理云平台系统/无人机遥感技术/窄带物联网/数据存储/空间占用Key words
intelligent protection area/management cloud platform system/unmanned aerial vehicle remote sensing technology/narrow band intemet of things(NB-IoT)/data storage/space occupancy引用本文复制引用
基金项目
国家林业和草原局西北调查规划院科技创新项目(SH095JFKJGH346)
出版年
2024
NETL
NSTL
万方数据