Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant

Yichen Luo; Wenhao Lin; Xiaohui Zhu; Yong Yue

doi:10.1145/3580219.3580251

Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant

Yichen Luo, Wenhao Lin, Xiaohui Zhu^*, Yong Yue

^*Corresponding author for this work

Department of Computing

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

This paper proposes a distributed temperature monitoring network using ZigBee and 4G/5G protocols. The network consists of temperature monitoring terminals, coordinators, and a remote server. The temperature monitoring terminals are distributed in the target environment and collect temperature data, which is sent to coordinators and then forwarded to the server. The server stores the data in a database. Compared with other wireless sensor solutions, we optimizes the terminal design for waterproof, high temperature resistance and lower power consumption, so that it has better environmental adaptability and longer working time. Experimental results show that by using a 1000mAh battery, the terminal can continue to operate steadily in severe environment with high humidity and temperature around 80ĝ., for 20 days until the battery runs out.

Original language	English
Title of host publication	Proceedings - 2023 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023
Editors	Dan Zhang, Yong Yue
Publisher	Association for Computing Machinery
Pages	126-131
Number of pages	6
ISBN (Electronic)	9781450397513
DOIs	https://doi.org/10.1145/3580219.3580251
Publication status	Published - 28 Jan 2023
Event	7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023 - Sanya, China Duration: 28 Jan 2023 → 30 Jan 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023
Country/Territory	China
City	Sanya
Period	28/01/23 → 30/01/23

Keywords

Distributed sensor
IoT
Lowpower consumption
Temperature monitoring
ZigBee

Access to Document

10.1145/3580219.3580251

Cite this

Luo, Y., Lin, W., Zhu, X., & Yue, Y. (2023). Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant. In D. Zhang, & Y. Yue (Eds.), Proceedings - 2023 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023 (pp. 126-131). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3580219.3580251

Luo, Yichen ; Lin, Wenhao ; Zhu, Xiaohui et al. / Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant. Proceedings - 2023 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023. editor / Dan Zhang ; Yong Yue. Association for Computing Machinery, 2023. pp. 126-131 (ACM International Conference Proceeding Series).

@inproceedings{906c767500c64ea6b5e1ac8dc8495151,

title = "Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant",

abstract = "This paper proposes a distributed temperature monitoring network using ZigBee and 4G/5G protocols. The network consists of temperature monitoring terminals, coordinators, and a remote server. The temperature monitoring terminals are distributed in the target environment and collect temperature data, which is sent to coordinators and then forwarded to the server. The server stores the data in a database. Compared with other wireless sensor solutions, we optimizes the terminal design for waterproof, high temperature resistance and lower power consumption, so that it has better environmental adaptability and longer working time. Experimental results show that by using a 1000mAh battery, the terminal can continue to operate steadily in severe environment with high humidity and temperature around 80ĝ., for 20 days until the battery runs out.",

keywords = "Distributed sensor, IoT, Lowpower consumption, Temperature monitoring, ZigBee",

author = "Yichen Luo and Wenhao Lin and Xiaohui Zhu and Yong Yue",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023 ; Conference date: 28-01-2023 Through 30-01-2023",

year = "2023",

month = jan,

day = "28",

doi = "10.1145/3580219.3580251",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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Luo, Y, Lin, W, Zhu, X & Yue, Y 2023, Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant. in D Zhang & Y Yue (eds), Proceedings - 2023 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 126-131, 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023, Sanya, China, 28/01/23. https://doi.org/10.1145/3580219.3580251

Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant. / Luo, Yichen; Lin, Wenhao; Zhu, Xiaohui et al.
Proceedings - 2023 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023. ed. / Dan Zhang; Yong Yue. Association for Computing Machinery, 2023. p. 126-131 (ACM International Conference Proceeding Series).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant

AU - Luo, Yichen

AU - Lin, Wenhao

AU - Zhu, Xiaohui

AU - Yue, Yong

PY - 2023/1/28

Y1 - 2023/1/28

N2 - This paper proposes a distributed temperature monitoring network using ZigBee and 4G/5G protocols. The network consists of temperature monitoring terminals, coordinators, and a remote server. The temperature monitoring terminals are distributed in the target environment and collect temperature data, which is sent to coordinators and then forwarded to the server. The server stores the data in a database. Compared with other wireless sensor solutions, we optimizes the terminal design for waterproof, high temperature resistance and lower power consumption, so that it has better environmental adaptability and longer working time. Experimental results show that by using a 1000mAh battery, the terminal can continue to operate steadily in severe environment with high humidity and temperature around 80ĝ., for 20 days until the battery runs out.

AB - This paper proposes a distributed temperature monitoring network using ZigBee and 4G/5G protocols. The network consists of temperature monitoring terminals, coordinators, and a remote server. The temperature monitoring terminals are distributed in the target environment and collect temperature data, which is sent to coordinators and then forwarded to the server. The server stores the data in a database. Compared with other wireless sensor solutions, we optimizes the terminal design for waterproof, high temperature resistance and lower power consumption, so that it has better environmental adaptability and longer working time. Experimental results show that by using a 1000mAh battery, the terminal can continue to operate steadily in severe environment with high humidity and temperature around 80ĝ., for 20 days until the battery runs out.

KW - Distributed sensor

KW - IoT

KW - Lowpower consumption

KW - Temperature monitoring

KW - ZigBee

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BT - Proceedings - 2023 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023

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Luo Y, Lin W, Zhu X , Yue Y. Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant. In Zhang D, Yue Y, editors, Proceedings - 2023 7th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2023. Association for Computing Machinery. 2023. p. 126-131. (ACM International Conference Proceeding Series). doi: 10.1145/3580219.3580251

Distributed Temperature Monitoring Network with Low Power Consumption and Severe Environment Resistant

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