基于NB-IoT的智能渔业养殖综合控制系统设计
Design of Intelligent Fishery Breeding Integrated Control System Based on NB-IoT
摘要:
基于渔业产品于我国经济及国民身体素质的重要性,本文提出并实现了基于窄带物联网(Narrow Band Internet of Things, NB-IoT)的智能渔业养殖综合控制系统。该系统主要包括环境监测与水质监控、精准化饲料投喂、养殖信息溯源三大功能模块。为实现该系统实物转化,本文以通威(大丰)饲料有限公司大丰港养殖区作为系统实施示范基地,通过硬件构建、现场施工及软件平台设计完成系统的构建。通过示范应用基地的实际应用测试,测试效果显示该系统可实现环境监测与水质监控、精准化饲料投喂、养殖信息溯源等功能,具有一定的实际推广应用价值。
Abstract:
Based on the importance of fishery products in China’s economy and national physical fitness, this paper proposes and implements an intelligent fishery aquaculture integrated control system based on NB-IoT. The system mainly includes three functional modules: environmental monitoring and water quality monitoring, precision feed feeding and aquaculture information traceability. In order to realize the physical transformation of the system, this paper takes Dafeng port breeding area of Tongwei (Dafeng) Feed Co., Ltd. as the system implementation demonstration base, and completes the system construction through hardware construction, field construction and software platform design. Through the practical application test of the demonstration application base, the test results show that the system can realize the functions of environmental monitoring and water quality monitoring, precision feed feeding, breeding information traceability, etc., and has certain practical application values.
参考文献
|
[1]
|
World Bank (2013) Fish to 2030: Prospects for Fisheries and Aquaculture. The World Bank, Washington DC.
|
|
[2]
|
韩磊, 王术坤. 2019年中国猪肉供需形势及2020年展望[J]. 农业展望, 2020(4): 7-11.
|
|
[3]
|
Seekao, C. and Pharino, C. (2016) Assessment of the Flood Vulnerability of Shrimp Farms Using a Multicriteria Evaluation and GIS: A Case Study in the Bangpakong Sub-Basin, Thailand. Environmental and Earth Science, 75, 308. [Google Scholar] [CrossRef]
|
|
[4]
|
Galbraith, E.D., Carozza, D.A. and Bianchi, D. (2017) A Coupled Human-Earth Model Perspective on Longterm Trends in the Global Marine Fishery. Nature Communications, 8, 14884. [Google Scholar] [CrossRef] [PubMed]
|
|
[5]
|
李天娇. 关于我国农业服务业发展问题研究[D]: [博士学位论文]. 北京: 中国社会科学院研究生院, 2018.
|
|
[6]
|
本刊编辑. 2019“两会”上关于农业未来的55条红利[J]. 农业工程技术, 2019(9): 15-16.
|
|
[7]
|
金三林. 坚持“两为主”思路, 加快提升农产品质量安全水平[J]. 黄河科技学院学报, 2019(6): 50-57.
|
|
[8]
|
姚冠新, 范雪茹, 徐静. 基于供应链视角的生鲜农产品质量安全问题研究回顾与展望[J]. 物流科技, 2019(9): 127-131.
|
|
[9]
|
蔡航宇, 王天凯, 江朝晖. 基于NB-IoT的农林监测系统[J]. 物联网技术, 2020(7): 6-9.
|
|
[10]
|
周万禹, 桂永杰, 焦东海, 朱平平. 基于NB-IoT的智慧路灯控制系统[J]. 物联网技术, 2020(7): 82-84.
|