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基于NB-IoT网络的兔舍环境实时监测系统

  • 秦英栋 ,
  • 贾文珅
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  • 1.北京农学院 计算机与信息工程学院,北京 102206
    2.北京市农林科学院质量标准与检测技术研究所,北京 100097
秦英栋,硕士研究生,研究方向为农业物联网。E-mail:dave7685567@qq.com
贾文珅,博士,副研究员,研究方向为农产品安全快检方法。E-mail:jiawenshen@163.com

收稿日期: 2022-11-21

  网络出版日期: 2023-04-03

基金资助

河北省重点研发计划(21375501D);北京市农林科学院科技创新能力建设专项(KJCX20230438);北京农学院学位与研究生教育改革与发展项目(2002YJS034);国家自然科学基金(31801634);北京市农林科学院财政追加专项(CZZJ202102)

Real-Time Monitoring System for Rabbit House Environment Based on NB-IoT Network

  • QIN Yingdong ,
  • JIA Wenshen
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  • 1.College of Computer and Information Engineering, Beijing University of Agriculture, Beijing 102206, China
    2.Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
QIN Yingdong, E-mail:dave7685567@qq.com
JIA Wenshen, E-mail:jiawenshen@163.com

Received date: 2022-11-21

  Online published: 2023-04-03

Supported by

Key R&D Plan of Hebei Province (21375501D); Beijing Academy of Agricultural and Forestry Sciences Science and Technology Innovation Capacity Building Special Project (KJCX20230438); Beijing Agricultural University Degree and Graduate Education Reform and Development Project (2002YJS034); National Natural Science Foundation of China (31801634); Beijing Academy of Agricultural and Forestry Sciences Financial Additional Special Project (CZZJ202102)

摘要

为满足兔舍环境监测调控需求,同时摆脱传统布线网络局限性,缩减网络资费、电路元件和控制系统成本,本研究提出一种基于窄带物联网(Narrow Band Internet of Things,NB-IoT)的兔舍环境实时监测系统。系统基于Arduino开发板,使用移远BC260Y模块与消息队列遥测传输协议(Message Queuing Telemetry Transport,MQTT)实现网络连接,利用SGP30、MQ137、5516光敏电阻传感器等多种传感器实现兔舍内部声、光、水、温、气五方面实时监测。数据在本地、云端存储的同时,系统可根据阈值报警,协助创造兔的最佳生存环境。研究中对比了NB-IoT网络与Wi-Fi、LoRa等其他网络的异同,根据物联网三层架构详细介绍了系统搭建技术与过程,并系统分析了元器件价格,经核算,整机成本不超过400元。设备在空舍测试中,检测到CO2浓度为420~440 ppm;MQ系列传感模组电压比值稳定于1;温度处于22~24 ℃;湿度上下波动10%;日光灯亮灭引起电压差2.6 V。进行了系统的网络与能耗测试,通过不同时间、场地、网络连接方式的对比,验证了本系统传输稳定可靠,能耗合理。系统使用MQTT通信协议的NB-IoT网络,平均每秒消息处理量(Transactions Per Second,TPS)为0.57,每分钟收发34.2条,上下浮动1条。系统运行时,电压约为12.5 V,电流约为0.42 A,平均功率为5.3 W。发生通信时,没有产生额外功耗,适用于实际养殖生产。本研究可为偏远或较大规模的养殖监测设备选取提供设备成本与网络选择参考价值。

本文引用格式

秦英栋 , 贾文珅 . 基于NB-IoT网络的兔舍环境实时监测系统[J]. 智慧农业, 2023 , 5(1) : 155 -165 . DOI: 10.12133/j.smartag.SA202211008

Abstract

To meet the needs of environmental monitoring and regulation in rabbit houses, a real-time environmental monitoring system for rabbit houses was proposed based on narrow band Internet of Things (NB-IoT). The system overcomes the limitations of traditional wired networks, reduces network costs, circuit components, and expenses is low. An Arduino development board and the Quectel BC260Y-NB-IoT network module were used, along with the message queuing telemetry transport (MQTT) protocol for remote telemetry transmission, which enables network connectivity and communication with an IoT cloud platform. Multiple sensors, including SGP30, MQ137, and 5516 photoresistors, were integrated into the system to achieve real-time monitoring of various environmental parameters within the rabbit house, such as sound decibels, light intensity, humidity, temperature, and gas concentrations. The collected data was stored for further analysis and could be used to inform environmental regulation and monitoring in rabbit houses, both locally and in the cloud. Signal alerts based on circuit principles were triggered when thresholds were exceeded, creating an optimal living environment for the rabbits. The advantages of NB-IoT networks and other networks, such as Wi-Fi and LoRa were compared. The technology and process of building a system based on the three-layer architecture of the Internet of Things was introduced. The prices of circuit components were analyzed, and the total cost of the entire system was less than 400 RMB. The system underwent network and energy consumption tests, and the transmission stability, reliability, and energy consumption were reasonable and consistent across different time periods, locations, and network connection methods. An average of 0.57 transactions per second (TPS) was processed by the NB-IoT network using the MQTT communication protocol, and 34.2 messages per minute were sent and received with a fluctuation of 1 message. The monitored device was found to have an average voltage of approximately 12.5 V, a current of approximately 0.42 A, and an average power of 5.3 W after continuous monitoring using an electricity meter. No additional power consumption was observed during communication. The performance of various sensors was tested through a 24-hour indoor test, during which temperature and lighting conditions showed different variations corresponding to day and night cycles. The readings were stably and accurately captured by the environmental sensors, demonstrating their suitability for long-term monitoring purposes. This system is can provide equipment cost and network selection reference values for remote or large-scale livestock monitoring devices.

参考文献

1 武玉燕. 仔兔培育的关键技术[J]. 吉林畜牧兽医, 2022, 43(10): 59-60.
  WU Y Y. Key techniques for breeding young rabbits[J]. Jilin animal husbandry and veterinary medicine, 2022, 43(10): 59-60.
2 杨观止, 陈鹏飞, 崔新凯, 等. NB-IoT综述及性能测试[J]. 计算机工程, 2020, 46(1): 1-14.
  YANG G Z, CHEN P F, CUI X K, et al. Overview and performance test of NB-IoT[J]. Computer engineering, 2020, 46(1): 1-14.
3 YE H T, YANG Y J, ZHU L Y. A wireless network detection and control system for intelligent agricultural greenhouses based on NB-IOT technology[J]. Journal of physics: Conference series, 2021, 1738(1): ID 012058.
4 FENG X, YAN F, LIU X Y. Study of wireless communication technologies on Internet of Things for precision agriculture[J]. Wireless personal communications, 2019, 108(3): 1785-1802.
5 LIOPA-TSAKALIDI A, THOMOPOULOS V, BAROUCHAS P, et al. A NB-IoT based platform for smart irrigation in vineyard[C]// 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST). Piscataway, NJ, USA: IEEE, 2021: 1-4.
6 刘振语. 基于NB-IoT物联网的温室监控系统的设计与实现[D]. 南宁: 广西大学, 2020.
  LIU Z Y. Design and implementation of greenhouse monitoring system based on NB-IoT Internet of Things[D]. Nanning: Guangxi University, 2020.
7 MEZEI I, LUKIC M, BERBAKOV L, et al. Grapevine downy mildew warning system based on NB-IoT and energy harvesting technology[J]. Electronics, 2022, 11(3): ID 356.
8 张净, 姚森耀, 刘晓梅. 基于NB-IoT的水培智能监控系统设计与试验[J]. 中国农机化学报, 2021, 42(5): 175-181.
  ZHANG J, YAO S Y, LIU X M. Design and experiment of hydroponic intelligent monitoring systems based on NB-IoT[J]. Journal of Chinese agricultural mechanization, 2021, 42(5): 175-181.
9 HUAN J, LI H, WU F, et al. Design of water quality monitoring system for aquaculture ponds based on NB-IoT[J]. Aquacultural engineering, 2020, 90: ID 102088.
10 梁裕巧, 李洪兵, 罗洋, 等. 基于NB-IoT的花椒生长环境因子监测系统[J]. 中国农机化学报, 2021, 42(6): 166-173.
  LIANG Y Q, LI H B, LUO Y, et al. Monitoring system for the growth environmental factors of Zanthoxylum bungeanum based on NB-IoT[J]. Journal of Chinese agricultural mechanization, 2021, 42(6): 166-173.
11 POPLI S, JHA R K, JAIN S. Adaptive small cell position algorithm (ASPA) for green farming using NB-IoT[J]. Journal of network and computer applications, 2021, 173: ID 102841.
12 聂珲, 陈海峰. 基于NB-IoT环境监测的多传感器数据融合技术[J]. 传感技术学报, 2020, 33(1): 144-152.
  NIE H, CHEN H F. Multi-sensor data fusion technology based on NB-IoT environment monitoring[J]. Chinese journal of sensors and actuators, 2020, 33(1): 144-152.
13 冯云. 兔饲养管理措施及饲养环境调节与控制[J]. 中国动物保健, 2021, 23(5): 97-98.
14 BODNáR K, BODNáR G, MAKRA L, et al. Technical note. Improving the microclimate of a rabbit house: Thermal insulation and air handling[J]. World rabbit science, 2019, 27(1): 49-55.
15 徐辰义, 李琳, 何剑斌. 热应激对兔影响及其防制措施[J]. 现代畜牧兽医, 2010(12): 46-48.
  XU C Y, LI L, HE J B. Effect of heat stress on rabbits and its control measure[J]. Modern journal of animal husbandry and veterinary medicine, 2010(12): 46-48.
16 SZENDR? Z, GERENCSéR Z, MCNITT J I, et al. Effect of lighting on rabbits and its role in rabbit production: A review[J]. Livestock science, 2016, 183: 12-18.
17 BALAMURUGAN C R, SATHEESH R. Development of raspberry Pi and IoT based monitoring and controlling devices for agriculture[J]. Journal of social, technological and environmental science, 2017, 6(2): 207-215.
18 VINEELA T, NAGAHARINI J, KIRANMAI C, et al. IoT based agriculture monitoring and smart irrigation system using raspberry Pi[J]. International research journal of engineering and technology, 2018, 5(1): 1417-1420.
19 BOOBALAN J, JACINTHA V, NAGARAJAN J, et al. An IOT based agriculture monitoring system[C]// 2018 International Conference on Communication and Signal Processing (ICCSP). Piscataway, NJ, USA: IEEE, 2018: 594-598.
20 CORDOVA-HUAMAN A V, JAUJA-CCANA V R, LA ROSA-TORO A. Low-cost smartphone-controlled potentiostat based on Arduino for teaching electrochemistry fundamentals and applications[J]. Heliyon, 2021, 7(2): ID e06259.
21 姜晟, 陈英豪, 孙宝丽, 等. 基于物联网的集约化兔场环境监测系统[J]. 农业网络信息, 2014(12): 38-42.
  JIANG S, CHEN Y H, SUN B L, et al. Design of intensive rabbit farm's environmental monitoring system based on Internet of Things[J]. Agriculture network information, 2014(12): 38-42.
22 YANG J J, DONG B B, WANG Z H, et al. Research on the rabbit farm environmental monitoring and early warning system based on the Internet of Things[J]. Journal of computational and theoretical nanoscience, 2016, 13(9): 5964-5970.
23 冀荣华, 李豹, 陈振海, 等. 基于模糊推理的多因素兔舍环境调控方法研究[J]. 农业机械学报, 2019, 50(S1): 361-365.
  JI R H, LI B, CHEN Z H, et al. Regulation model of rabbit house environment based on fuzzy reasoning[J]. Transactions of the Chinese society for agricultural machinery, 2019, 50(S1): 361-365.
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