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作 者:姚仲敏[1] 荆宝刚 逄世良 YAO Zhong-min JING Bao-gang PANG Shi-liang(Communication Engineering Institute, Qiqihar University, Qiqihar , Heilongj iang , 161006, China Heilongj iang Zhalong National Nature Reserve Administration, Qiqihar , Heilongjiang , 161000, China)
机构地区:[1]齐齐哈尔大学通信学院,黑龙江齐齐哈尔161006 [2]黑龙江扎龙国家级自然保护区管理局,黑龙江齐齐哈尔161000
出 处:《家畜生态学报》2016年第12期44-48,共5页Journal of Domestic Animal Ecology
基 金:齐齐哈尔市工业攻关重点项目(GYGG-201406)
摘 要:无线传感器网络技术是目前远程监测中的主要手段,但这种网络在大范围区域地形崎岖、植被茂密环境应用中存在一定的缺陷,如网络传输能力弱,信号抗干扰能力差等。该研究针对扎龙湿地鹤类监测中的鹤巢分布距离远,不利于布点、监测环境恶劣,人员难以达到以及网络传输可靠性差等问题,利用广受关注的无人机技术,设计了基于无线传感器网络的无人机鹤类图像监测系统。该系统使用无人机搭载协调器接收放置在鹤巢附近终端发出的图像数据,并通过3G模块传输至远端的管理中心。网络结构包括采集层、无人机中继层和管理中心汇聚层,可以减少湿地地势和植被环境对数据传输的影响。通过测试,该系统能够接收鹤类的图像信息,且系统稳定性高,数据传输可靠性,在对鹤类等生物群落进行管护中具有一定的应用价值。Wireless sensor network(WSN)technology has become an important method of remote monitoring.However,this technology also has some defects,such as low reliability of data transmission and weak signal anti-interference ability in the environment of rugged terrain and dense vegetation.According to the study of distribution distance crane nests,bad monitoring environment and poor reliability of static network etc.and requirements in crane image monitoring in Zhalong Wetland,this paper proposed an image monitoring system combined with Unmanned Aerial Vehicle(UAV)based on WSN technology.The network used UAV equipped coordinator node to receive image data from the end-device node under the ground,and transmit it into the management center through 3G module.The structure of the network is divided into three parts:end-device node and camera etc.sensors(collection layer),UAV and coordinator(relay layer)and management center(convergence layer),which could reduce the impact of wetland vegetation environment,and improve terrain on the data transmission.The test shows that,this system is able to receive cranes image information and is highly stabilized,which can improve the reliability of data transmission,and has certain application value in the management and protection of cranes and biome.
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