基于物联网技术的锈斑蟳人工养殖环境监测

doi:10.14088/j.cnki.issn0439-8114.2023.10.026

湖北农业科学 ›› 2023, Vol. 62 ›› Issue (10): 149-153.doi: 10.14088/j.cnki.issn0439-8114.2023.10.026

基于物联网技术的锈斑蟳人工养殖环境监测

邹雄¹, 杨明秋², 蒲利云², 陆建学¹, 夏连军¹, 刘鑫¹

1.中国水产科学研究院东海水产研究所/农业农村部东海与远洋渔业资源开发利用重点实验室,上海 200090;
2.海南省海洋与渔业科学院, 海口 571126

收稿日期:2023-01-14 发布日期:2023-11-14
通讯作者: 刘鑫（1989-）,女,河南驻马店人,助理研究员,硕士,主要研究方向为水生动物行为及化学生态。
作者简介:邹雄（1985-）,男,湖南娄底人,助理研究员,硕士,主要研究方向为水生生物繁殖和生理生态,（电话）18976074009（电子信箱）zouyxiang9901@163.com.
基金资助:
中央级公益性科研院所基本科研业务费专项资金（2019M08）; 海南省重点研发计划项目（ZDYF2021XDNY278）

Monitoring of Charybdis feriatus artificial breeding environment based on Internet of things technology

ZOU Xiong¹, YANG Ming-qiu², PU Li-yun², LU Jian-xue¹, XIA Lian-jun¹, LIU Xin¹

1. East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/ Key Laboratory of East China Sea and Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai 200090, China;
2. Hainan Academy of Ocean and Fisheries Sciences, Haikou 571126, China

Received:2023-01-14 Published:2023-11-14

摘要/Abstract

摘要： 为提高锈斑蟳（Charybdis feriatus）人工养殖的质量,利用物联网技术对其环境监测系统进行设计。首先,对锈斑蟳人工养殖环境物联网远程监测系统进行设计,包括系统的总体结构、本地监控子系统、远程监控子系统以及水质监测系统。同时,针对水质检测中溶解氧预测,利用改进的LMBP（Levenberg-Marquardt Back Propagation）算法进行设计。结果表明,人工养殖环境监测系统能够较好实现锈斑蟳养殖环境的智能化控制,减少人力物力。此外,基于改进的LMBP算法能够对溶解氧进行较好地预测。

关键词: 锈斑蟳（Charybdis feriatus）, 物联网, 水质检测, LMBP, 溶解氧

Abstract: In order to improve the artificial breeding quality of Charybdis feriatus, the environmental monitoring system would be studied and designed using the Internet of things technology. First of all, the remote monitoring system of the Internet of things for the artificial breeding environment of Charybdis feriatus was designed, including the design of the overall structure of the system, the local monitoring subsystem, the remote monitoring subsystem and the water quality monitoring system. In addition, for the prediction of dissolved oxygen data in water quality detection, the improved LMBP （Levenberg Marquardt Back Propagation） algorithm was used to design it. The results showed that the designed artificial breeding environment monitoring system could better realize the intelligent control of the breeding environment of Charybdis feriatus, and reduce human and material resources. In addition, the improved LMBP algorithm could better predict the dissolved oxygen.

Key words: Charybdis feriatus, Internet of things, water quality testing, LMBP, dissolved oxygen

中图分类号:

S816.2

邹雄, 杨明秋, 蒲利云, 陆建学, 夏连军, 刘鑫. 基于物联网技术的锈斑蟳人工养殖环境监测[J]. 湖北农业科学, 2023, 62(10): 149-153.

ZOU Xiong, YANG Ming-qiu, PU Li-yun, LU Jian-xue, XIA Lian-jun, LIU Xin. Monitoring of Charybdis feriatus artificial breeding environment based on Internet of things technology[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(10): 149-153.

参考文献

[1] JARA B, SRAIN B M, ARANDA M, et al.Water-sediment partitioning of flumequine and florfenicol, two antibiotics used in salmon aquaculture in Chile[J]. Marine pollution bulletin, 2022, 177:113480.
[2] LUKASSEN M B, MENANTEAU-LEDOUBLE S, JONGE N D, et al.Impact of water quality parameters on geosmin levels and geosmin producers in European recirculating aquaculture systems[J]. Journal of applied microbiology, 2022, 132(3):2475-2487.
[3] 李俊生, 高敏, 张兵,等. 智能手机影像支持的水质监测算法与应用[J]. 测绘学报, 2022, 51(4):568-576.
[4] 操建华, 桑霏儿. 水产养殖业绿色发展理论、模式及评价方法思考[J]. 生态经济, 2020, 36(8):101-106.
[5] 迟守峰, 宋鑫, 文杨,等. 浅析基于无损伤缩微实验室技术的海洋渔业环境在线监测系统[J]. 中国水产, 2022(1):80-82.
[6] ZHANG Y, YUAN Y, ZHENG Y.Biological pollution online monitoring system[J]. IOP conference series earth and environmental science, 2021, 772(1):012101.
[7] 刘军, 徐尚青. 基于ASP.NET AJAX技术的在线考试系统设计与实现[J]. 信息与电脑, 2022, 34(10):165-167.
[8] YANG C, FANG W, ZHANG G, et al.Design and study of multifunctional illumination sensors based on spectral analysis[J]. Optik-International journal for light and electron optics,2021,242(18):167204.
[9] MAO K, XU J, JIN R, et al.A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning[J]. Computer communications, 2021, 179(5):175-182.
[10] 刘新波, 杨永青, 黎浪. 基于STM32的三激光位移传感器的在机测头设计[J]. 现代信息科技, 2022, 6(14):150-157.
[11] JIANG R, ZOU B.A DEA-based multi-response fusion model in the context of Taguchi method[J]. Journal of physics: Conference series, 2021, 1983(1):012108.
[12] AMINI M, NAZARI M, SHIRI I, et al.Multi-level multi-modality (PET and CT) fusion radiomics: Prognostic modeling for non-small cell lung carcinoma[J]. Physics in medicine & biology, 2021, 66(20):205017.
[13] 马倩倩, 崔红社, 孙锐,等. 基于PSO-LM-BP算法的空调系统节能预测控制研究[J]. 低温与超导, 2022, 50(4):65-70.

基于物联网技术的锈斑蟳人工养殖环境监测

Monitoring of Charybdis feriatus artificial breeding environment based on Internet of things technology

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

Metrics

本文评价

[1]	邹雄, 杨明秋, 蒲利云, 陆建学, 夏连军, 刘鑫. 锈斑蟳人工育苗技术[J]. 湖北农业科学, 2023, 62(9): 97-100.
[2]	邹雄, 杨明秋, 蒲利云, 陆建学, 夏连军, 刘鑫. 养殖环境对锈斑蟳人工繁育及仔蟹生长的影响[J]. 湖北农业科学, 2023, 62(8): 140-143.
[3]	彭远, 刘申, 赵璧, 董婷婷, 张东晖. 粮食物流过程中质量安全追溯方法研究[J]. 湖北农业科学, 2021, 60(21): 135-139.
[4]	张竞超, 翟乃琦, 王一博, 云利军. 基于物联网技术的仓储烟叶霉变状态智能监测方法研究[J]. 湖北农业科学, 2021, 60(20): 167-170.
[5]	汪建春, 胡晓进. 基于分布式物联网的工业自动化安全性分析[J]. 湖北农业科学, 2021, 60(18): 156-160.
[6]	杨萌. 区块链+农产品溯源视域下紫阳县富硒茶质量安全追溯体系研究[J]. 湖北农业科学, 2021, 60(16): 137-140.
[7]	黄媛, 杨英茹, 高欣娜, 李海杰, 武猛, 杜亚茹. 基于物联网技术的日光温室番茄茎基腐病预警模型研究[J]. 湖北农业科学, 2020, 59(9): 167-170.
[8]	蔡杰, 杨立新, 刘艳芳. 基于物联网的猕猴桃质量安全控制系统的设计与实现[J]. 湖北农业科学, 2020, 59(18): 123-126.
[9]	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.
[10]	张新. 绿茶制茶工艺及其物联网技术应用分析[J]. 湖北农业科学, 2018, 57(3): 97-99.
[11]	刘磊, 高加琼, 韩文智. 基于SDH/MSTP技术的农业物联网运用研究[J]. 湖北农业科学, 2018, 57(21): 134-137.