基于STM32的山区核桃基地环境监测系统的设计

doi:10.19788/j.issn.2096-6369.21XX01

摘要/Abstract

摘要：

物联网、云计算、大数据、区块链、人工智能等新一代技术为传统农业的升级改造和智慧农业发展提供了新路径新模式。本文以云南省“一县一业”示范县凤庆县的核桃产业智慧化发展为研究对象，以解决核桃种植基地环境的关键数据监测和应用需求为目标，针对山区核桃基地基础设施薄弱、供电供网困难、数据安全难以保障和基地数据采集和监测难度大等问题，开展了基于STM32技术，广泛适用于山区及偏远地区的核桃等农作物的基地环境监测物联网系统进行研究、设计与实现，系统基于NB-IoT技术、4G技术、太阳能供电和区块链等技术，与阿里云物联网平台实现数据融合，从系统总体构架、主控模块、通信模块、供电模块、数据传输模块、区块链设计与部署、数据安全保障和数据可视化等方面开展了研究，设计开发了基于物联网的山区核桃基地环境数据监测系统，将区块链技术与物联网技术进行深度融合，使用百度开源区块链Xuperchain构建数据安全链，实现所有监测数据实时上链，保障数据的真实性、可靠性和不可篡改。通过大量测试和在凤庆县四个核心核桃产区进行应用示范，证明基于STM32的核桃基地环境物联网监测系统具有较高的可用性，取得了较好效果，为推动核桃产业链、价值链、供应链分解重构和演化升级，打造智慧、绿色、生态的核桃品牌提供数据支撑和参考。

关键词: 核桃, 基地环境, STM32, 阿里云, 物联网, NB-IoT, 区块链, 监测系统

Abstract:

New generation technologies such as IOT, cloud computing, big data, blockchain and artificial intelligence provide a new path and model for the upgrading and transformation of traditional agriculture and the development of smart agriculture. Taking the intelligent development of walnut industry in Fengqing County, a demonstration county of "one county and one industry" in Yunnan Province as the research object, and aiming at solving the key data monitoring and application needs of walnut planting base environment, aiming at the problems of weak infrastructure, difficult power supply network, difficult data security and difficult data acquisition and monitoring of walnut base in mountainous areas, this paper carried out the research based on STM32 technology, It is widely applicable to the research, design and implementation of base environmental monitoring IOT system for walnut and other crops in mountainous and remote areas. The system is based on Nb IOT technology, 4G technology, solar power supply and blockchain technology to realize data integration with Alibaba cloud IOT platform, from the overall system architecture, main control module, communication module, power supply module, data transmission module, blockchain design and deployment We have carried out research on data security and data visualization, designed and developed the environmental data monitoring system of mountain walnut base based on the Internet of things, deeply integrated the blockchain technology with the Internet of things technology, built a data security chain using Baidu open source blockchain xuperchain, realized the real-time uploading of all monitoring data, and ensured the authenticity, reliability and tamperability of the data. Through a large number of tests and application demonstrations in four core walnut producing areas in Fengqing County, it is proved that the environmental Internet of things monitoring system of walnut base based on STM32 has high availability and achieved good results, which provides data support and reference for promoting the decomposition, reconstruction and evolution upgrading of walnut industry chain, value chain and supply chain, and creating a smart, green and ecological walnut brand.

Key words: walnut, base environment, STM32, Alibaba cloud, IOT, NB-IoT, blockchain monitoring system

中图分类号:

N945.12

吴文斗, 周兵, 朱磊, 李青, 张勇, 字少奇, 刘天霞, 杨文庆, 唐兴萍. 基于STM32的山区核桃基地环境监测系统的设计[J]. 农业大数据学报, 2022, (): 1-13.

Wendou Wu, Bing Zhou, Lei Zhu, Qing Li, Yong Zhang, Shaoqi Zi, Tianxia Liu, Wenqing Yang, Xingping Tang. Design of Environmental Monitoring System for Walnut Base in Mountainous Area Based on STM32[J]. Journal of Agricultural Big Data, 2022, (): 1-13.

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参考文献 29

1	王聪聪, 余开朝, 罗雪梅. 基于 SWOT 分析的云南核桃产业研究[J]. 商场现代化, 2010,(25): 114-115.
	Wang C C, Yu K L, Luo X M.Study on Yunnan Walnut Industry Based on SWOT Analysis[J].Market Modernization,010,(25): 114-115.
2	刘海启.加快数字农业建设为农业农村现代化增添新动能[J]. 中国农业资源与区划, 2017, 38 (12) :1-6.
	Liu H Q. Accelerating the Construction of Digital Agriculture Adds New Kinetic Energy for Agricultural and Rural Rodernization [J]. Journal of Chinese Agricultural Resources and Regional Planning, 2017, 38 (12) :1-6.
3	Khanna A, Kaur S. Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture[J]. Computers and electronics in agriculture, 2019, 157: 218-231.
4	Mois G, Folea S, Sanislav T. Analysis of three IoT-based wireless sensors for environmental monitoring[J]. IEEE Transactions on Instrumentation and Measurement, 2017, 66(8): 2056-2064.
5	Srbinovska M, Gavrovski C, Dimcev V, et al. Environmental parameters monitoring in precision agriculture using wireless sensor networks[J]. Journal of cleaner production, 2015, 88: 297-307.
6	Pękosławski B, Krasiński P, Siedlecki M, et al. Autonomous wireless sensor network for greenhouse environmental conditions monitoring[C]//Proceedings of the 20th International Conference Mixed Design of Integrated Circuits and Systems-MIXDES 2013. IEEE, 2013: 503-507.
7	朱均超,张强,赵岩.基于物联网的农业大棚环境监测系统设计[J].中国农机化学报,2018,39(09):76-80.
	Zhu J C, Zhang Q, Zhao Y. Design of Agricultural Greenhouses Environmental Monitoring System Based on IoT[J].Journal of Chinese Agricultural Mechanization,2018,39(09):76-80.
8	李瑞, 敖雁, 孙启洵, 等. 大田农业物联网应用现状与展望[J]. 北方园艺, 2018, 42(14):148-153.
	Li R, AO Y, Sun Q, et al. Application Situation and Prospect of IoT Application in Agricultural Field [J]. Northern Horticulture, 2018, 42(14):148-153.
9	肖婷,崔忠伟,赵勇,等.基于物联网的茶场生态环境监测系统设计[J].物联网技术,2020,10(3):31-32.
	Xiao T, Cui Z W, Zhao Y, et al. Design of Tea Farm Ecological Environment Monitoring System Based on IOT [J]. Internet of Things Technology,2020,10(3):31-32.
10	李敏.基于物联网技术的农业环境监测系统研究与设计[J]. 江苏农业科学,2016,44(05):387-391.
	Li M. Research and Design of Agricultural Environment Monitoring System Based on IOT Technology [J]. Jiangsu Agricultural Science,2016,44(05):387-391.
11	485通信自动收发电路详解[EB/OL]. .
485	Communication Transceiver Circuit Automatically Explanation [EB/OL]. HTTP: / / .
12	肖瑞雪,冯英伟,吕国, 等.面向5G移动通信的蜂窝物联网关键技术研究[J].现代电子技术,2020,43(09):29-32.
	Xiao R X, Feng Y W, Lv G, et al. Modern Electronics Technique,2020,43(09):29-32.
13	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(01):1-14.
	Yang G Z, Chen P F, Cui X K . et al. Review and Performance Testing of NB-IoT [J]. Computer Engineering,2020,46(01):1-14.
14	陈晓红.数字经济时代的技术融合与应用创新趋势分析[J].中南大学学报(社会科学版),2018,24(05):1-8.
	Chen X H. Trend Analysis of Technology Convergence and Application Innovation in Digital Economy era[J].Journal of Central South University (Social Science Edition),2018,24(05):1-8.
15	林波,杨睿哲,杨兆鑫, 等.基于区块链和边缘计算的智慧农业系统[J]. 情报工程,2018,4(03):14-20.
	Lin B, Yang R Z, Yang Z X, et al. Intelligent Agricultural System Based on Block Chain and Edge Computing [J]. Information Engineering,2018,4(03):14-20.
16	黄娇郁,唐海.基于阿里云物联网平台的自动气象站设计[J].湖北农业科学,2020,59(17):166-169.DOI:10.14088/j.cnki.issn0439-8114.2020.17.038 . doi: 10.14088 / j.carol carroll nki issn0439-8114.2020.17.038
	Huang J Y, Tang H. Design Of Automatic Meteorological Station Based on Alibaba Cloud IoT pPlatform [J]. Journal of HuBei Agricultural Science, 2020,59 (17) : 166-169. The DOI: 10.14088 / j.carol carroll nki issn0439-8114.2020.17.038 . doi: 10.14088 / j.carol carroll nki issn0439-8114.2020.17.038
17	韩琛晔.基于STM32嵌入式微处理器的农业气象物联网数据采集系统设计[J].现代电子技术,2020,43(05):10-13+18.
	Han C Y. Design of Agricultural Meteorological IOT Data Acquisition System Based on STM32 Embedded Microprocessor [J]. Modern Electronic Technique,2020,43(05):10-13+18.
18	赵阔,邢永恒.区块链技术驱动下的物联网安全研究综述[J]. 信息网络安全,2017(05):1-6.
	Zhao K, Xing Y H. Overview of Security Research in IoT Driven by Blockchain Technology [J].Information Network Security,2017(05):1-6.]
19	朱建明,张沁楠,高胜.区块链关键技术及其应用研究进展[J].太原理工大学学报,2020,51(03):321-330.
	Zhu J M, Zhang Q N, Gao S. Research Progress on Key Technology and Application of Blockchain [J]. Journal of Taiyuan University of Technology,2020,51(03):321-330.
20	鲁静.区块链工程实践：行业解决方案与关键技术[M]. 北京：机械工业出版社，2019：166-168.
	Lu J. Blockchain Engineering Practice: Solutions and Key Technology [M]. Beijing: China Machine Press, 2019:166-168.
21	巴法云. MQTT物联网通信协议概论[EB/OL]. ,2019-8-10.
	Bar F Y. An Introduction to MQTT IoT Communication Protocol [EB/OL]. , 2019-8-10.
22	聂鹏程,张慧,耿洪良, 等.农业物联网技术现状与发展趋势[J].浙江大学学报(农业与生命科学版),2021,47(02):135-146.
	NIE P C, Zhang H, Geng H L, et al. Current Situation and Development Trend of Agricultural IoT Technology [J]. Journal of Zhejiang University (Agriculture & Life Science), 201,47(02):135-146.
23	中国信息通信研究院. 物联网白皮书（2020年）[R]. 中国信息通信研究院出版单位. 2020.12
	China Academy of Information and Communication Technology. White Paper on IOT (2020) [R]. Publishing Unit of China Academy of Information and Communication Technology. 2020.12
24	陈显明,刘书焕.基于物联网的农业环境数据收集系统设计[J].实验室研究与探索,2018,37(07):66-68+105.
	Chen X M, Liu S H. Design of Agricultural Environment Data Collection System Based on IoT [J]. Laboratory Research and Exploration,2018,37(07):66-68+105.
25	陈焕轩,韩迎春,冯璐, 等.智慧农业在棉花生产管理中的应用[J].棉花学报,2020,32(03):269-278.
	Chen H X, Han Y C Feng L, et al. Application of Intelligent Agriculture in Cotton Production Management [J]. Cotton Science,2020,32(03):269-278.
26	向岚.物联网技术在农业中的应用探讨[J].农村实用技术,2021(11):3-4.
	Xiang L. Discussion on the Application of IoT Technology in Agriculture [J]. Rural Practical Technology,2021(11):3-4.
27	张慧春,周宏平,郑加强,等. 植物表型平台与图像分析技术研究进展与展望[J]. 农业机械学报,2020,51(3):1-17.
	Zhang H C, Zhou H P, Zhang J Q, et al. Research Progress and Prospects of Plant Phenotypic Platform and Image Analysis Techniques [J]. Journal of Agricultural Machinery,2020,51(3):1-17.
28	周国民.我国农业大数据应用进展综述[J].农业大数据学报,2019,1(01):16-23.
	Zhou G M. Review on the Application of Agricultural Big Data[J]. Journal of Agricultural Big Data, 2019, 1 (01) : 16-23.
29	李哲光.基于Zigbee和NB-IoT无线传感网络的智慧农业[J].河北农机,2021(10):143-144.
	Li Z G. Intelligent Agriculture Based on Zigbee and NB-IoT WSN [J]. Hebei Agricultural Machinery,2021(10):143-144.

土壤类环境	大气类环境		日照类环境
土壤湿度	空气温度	大气压	日照时长
土壤温度	空气湿度	二氧化碳浓度	太阳总辐射
土壤电导率	降雨量	PM2.5	光照强度
土壤盐分	风速	PM10
土壤PH值	风向

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