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Energy Optimization for Wild Animal Tracker Basing on Watchdog Technology

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成果类型:
会议论文
作者:
Xu Z.;Zhai W.;Liang C.;Zhao Y.;Huang T.;...
作者机构:
[Hu Z.] School of Material and Chemical Engineering, Hunan City University, Yiyang, 413000, China
[Zhai W.; Liang C.; Yang G.] Country College of Forestry, Northwest A & F University, Yangling, 712100, China
[Zhao Y.] Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Central South University of Forestry and Technology, Changsha, 410004, China
[Zhou M.] Engineering Research Center for Internet of Animals, Changsha, 410000, China
[Xu Z.] School of Material and Chemical Engineering, Hunan City University, Yiyang, 413000, China<&wdkj&>Country College of Forestry, Northwest A & F University, Yangling, 712100, China<&wdkj&>Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Central South University of Forestry and Technology, Changsha, 410004, China<&wdkj&>Engineering Research Center for Internet of Animals, Changsha, 410000, China
语种:
英文
关键词:
Animals;Artificial intelligence;Big data;Conversion efficiency;Information management;Internet of things;Lithium batteries;Maximum power point trackers;Solar power generation;Communication modules;Energy optimization;Maximum Power Point Tracking;Natural environments;Position information;Positioning accuracy;Scientific researches;Utilization efficiency;Solar energy
期刊:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN:
0302-9743
年:
2021
卷:
12737 LNCS
页码:
647-655
会议名称:
7th International Conference on Artificial Intelligence and Security, ICAIS 2021
会议时间:
19 July 2021 through 23 July 2021
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9783030786113
基金类别:
Funding Statement. This research was supported by the National Natural Science Foundation of China (U20A20118 to X.Z.), Natural Science Foundation of Hunan Province (2019JJ40012, 2019JJ50027 to H.T. and X.Z.), Key Technology R&D Program of Hunan Province (2016TP2007; 2016TP1014; 2017TP2014 to Z.Y.) and College Students’ Innovative Entrepreneurial Training Plan Program of Shannxi Province (S202010712295 to L.C.). Statement. This research was supported by the National Natural Science Foundation of China (U20A20118 to X.Z.), Natural Science Foundation of Hunan Province (2019JJ40012, 2019JJ50027 to H.T. and X.Z.), Key Technology R&D Program of Hunan Province (2016TP2007; 2016TP1014; 2017TP2014 to Z.Y.) and College Students? Innovative Entrepreneurial Training Plan Program of Shannxi Province (S202010712295 to L.C.).
机构署名:
本校为第一机构
摘要:
Wild animal tracker, as an important IoT device terminal, can collect animal's position information and movement information in real time. The analysis based on the above big data provides us with a new perspective on recognizing animal behavior. It is useful in scientific research and animal management, while the device is always limited by energy. In order to develop the tracker device and enhance the energy supplying, wild animal tracker module including solar energy module, Maximum Power Point Tracking module, lithium battery, energy module...

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