鱼菜共生环境中多参数监测系统设计与试验

doi:10.13733/j.jcam.issn.2095-5553.2022.12.011

摘要/Abstract

摘要： 实时监测鱼菜共生系统中的关键环境信息对整个系统的水质调控具有重要意义。设计一种基于GPRS的多参数环境信息监测系统，系统可对水产养殖区与蔬菜栽培区中共11项环境参数进行远程监测，并将数据上传至云端服务器，再通过PC端以及移动端实现实时监测、历史数据查询、远程调控等功能，联合多种环境信息对氨氮的组成以及水质状况进行分析，同时将获取的环境数据通过多元线性回归的方法建立离子氨浓度预测模型。试验结果表明，设计的系统运行平稳，数据采集成功率约为99.53%；建立的离子氨多元线性回归方程决定系数R2为0.817，预测结果平均绝对百分比误差MAPE为4.68%，可以有效预测养殖环境的离子氨浓度，实现预警。

关键词: 鱼菜共生, 物联网, GPRS, 氨氮, 多元线性回归

Abstract: Realtime monitoring of key environmental indexes in aquaponics system is of great significance to the water quality control of the whole system. A multiparameter environmental information monitoring system based on GPRS is designed. The system can remotely monitor eleven environmental parameters of water quality information in aquaculture area and vegetable cultivation area, upload the data to the cloud server, and then realize the realtime monitoring, historical data query, remote regulation and other control through PC and mobile terminal. Combined with various environmental information, the composition of ammonia nitrogen and water quality are analyzed. The prediction model of ionic ammonia concentration is established by multiple linear regression. The test results show that the multiparameter monitoring system runs smoothly and the success rate of data acquisition is about 99.53%. The coefficient of determination R2 of the established multiple linear regression equation of ionic ammonia is 0.817, and the MAPE of the prediction results is 468%, which can effectively predict the concentration of ionic ammonia in aquaponics and provide early warning.

Key words: aquaponics, Internet of Things, GPRS, ammonia nitrogen, multiple linear regression

中图分类号:

S964.9

仇宇俊, 汪小旵, 李天沛, 葛朋彪. 鱼菜共生环境中多参数监测系统设计与试验[J]. 中国农机化学报, 2022, 43(12): 67-74.

Qiu Yujun, Wang Xiaochan, Li Tianpei, Ge Pengbiao. Design and experiment on multiparameter environment monitoring system in aquaponics[J]. Journal of Chinese Agricultural Mechanization, 2022, 43(12): 67-74.

参考文献

［1］　
薛凌展. “鱼·菜·菌”生态养殖模式氮磷转化及去除效果分析［J］. 亚热带资源与环境学报, 2014, 9(4): 15-25.

Xue Lingzhan. Transformation and removal effects of nitrogen and phosphorus in the ecological farming model of fishvegetablesmushroom ［J］. Journal of Subtropical Resources and Environment, 2014, 9(4): 15-25.

［2］　
Hussain T, Verma A K, Tiwari V K, et al. Effect of water flow rates on growth of Cyprinus carpio var. koi (Cyprinus carpio L., 1758) and spinach plant in aquaponic system ［J］. Aquaculture International, 2015, 23(1): 369-384.

［3］　
Espinosa M E A., Angel S C A, Mendoza C J, et al. Herbaceous plants as part of biological filter for aquaponics system ［J］. Aquaculture Research, 2016, 47(6): 1716-1726.

［4］　
Thuy N, Trang D, Schierup H H, et al. Leaf vegetables for use in integrated hydroponics and aquaculture systems: Effects of root flooding on growth, mineral composition and nutrient uptake ［J］. African Journal of Biotechnology, 2010, 9(27): 4186-4196.

［5］　
李玉全, 张海艳, 李健, 等. 液态氧在对虾工厂化养殖中的增氧效果［J］. 水产科学, 2008, 27(8): 401-403.

［6］　
朱明瑞, 曹广斌, 蒋树义, 等. 工厂化水产养殖水体的pH值在线自动控制系统［J］. 水产学报, 2007, 31(3): 335-342.

［7］　
李友丽, 郭文忠, 赵倩, 等. 基于水分、电导率传感器的黄瓜有机栽培灌溉决策研究［J］. 农业机械学报, 2017, 48(6): 263-270.

Li Youli, Guo Wenzhong, Zhao Qian, et al. Irrigation scheduling based on moisture and electric conductivity sensors in organic culture of cucumber ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(6): 263-270.

［8］　
张云龙, 张海龙, 王凌宇, 等. 氨氮对鱼类毒性的影响因子及气呼吸型鱼类耐氨策略［J］. 水生生物学报, 2017, 41(5): 1157-1168.

Zhang Yunlong, Zhang Hailong, Wang Lingyu, et al. Impact factors of ammonia toxicity and strategies for ammonia tolerance in airbreathing fish: A review ［J］. Acta Hydrobiologica Sinica, 2017, 41(5): 1157-1168.

［9］　
刘炎, 姜东升, 李雅洁, 等. 不同温度和pH下氨氮对河蚬和霍甫水丝蚓的急性毒性［J］. 环境科学研究, 2014, 27(9): 1067-1073.

Liu Yan, Jiang Dongsheng, Li Yajie, et al. Influence of environmental factors on the acute toxicity of ammonia to Corbicula fluminea and Limnodrilus hoffmeisteri ［J］. Research of Environmental Sciences, 2014, 27(9): 1067-1073.

［10］　
刘建魁, 刘立志, 赵文, 等. 非离子氨和氨氮对不同规格史氏鲟幼鱼的急性毒性及安全浓度评价［J］. 大连海洋大学学报, 2014(2): 175-178.

Liu Jiankui, Liu Lizhi, Zhao Wen, et al. Acute toxicity and safe concentration of nonionic ammonia and ammonia nitrogen to juvenile Amur sturgeon Acipenser schrencki with different sizes ［J］. Journal of Dalian Fisheries University, 2014(2): 175-178.

［11］　
尹宝全, 曹闪闪, 傅泽田, 等. 水产养殖水质检测与控制技术研究进展分析［J］. 农业机械学报, 2019, 50(2): 1-13.

Yin Baoquan, Cao Shanshan, Fu Zetian, et al. Review and trend analysis of water quality monitoring and control technology in aquaculture ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(2): 1-13.

［12］　
李冰, 张木子, 黎明, 等. 急性氨氮毒性对黄颡鱼头肾巨噬细胞抗氧化及炎症相关基因表达的影响［J］. 水产学报, 2018, 42(12): 1889-1895.

Li Bing, Zhang Muzi, Li Ming, et al. Effect of acute ammonia toxicity on genes involved in antioxidant and inflammation in head kidney macrophage of Pelteobagrus fulvidraco ［J］. Journal of Fisheries of China, 2018, 42(12): 1889-1895.

［13］　
Kater B J, Dubbeldam M, Postma J F. Ammonium toxicity at high pH in a marine bioassay using Corophium volutator ［J］. Archives of Environmental Contamination & Toxicology, 2006, 51(3): 347-351.

［14］　
罗杰, 杜涛, 刘楚吾, 等. 不同盐度、pH条件下氨氮对管角螺稚贝毒性影响［J］. 动物学杂志, 2010, 45(3): 102-109.

Luo Jie, Du Tao, Liu Chuwu, et al. Toxic effects of ammonia to Hemifusus tuba juveniles at different pH and salinity ［J］. Chinese Journal of Zoology, 2010, 45(3): 102-109.

［15］　
张东鸣, 余涛, 周景祥, 等. 氨态氮在渔业生产中的作用评述［J］. 吉林农业大学学报, 1999(3): 124-128.

［16］　
余国雄, 王卫星, 谢家兴, 等. 基于物联网的荔枝园信息获取与智能灌溉专家决策系统［J］. 农业工程学报, 2016, 32(20): 144-152.

Yu Guoxiong, Wang Weixing, Xie Jiaxing, et al. Information acquisition and expert decision system in litchi orchard based on Internet of Things ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(20): 144-152.

［17］　
罗斌, 潘大宇, 高权, 等. 基于物联网技术的寒地水稻程控催芽系统设计与试验［J］. 农业工程学报, 2018, 34(12): 180-185.

Luo Bin, Pan Dayu, Gao Quan, et al. Design and experiment of rice program control germination system in cold region based on Internet of Things ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(12): 180-185.

［18］　
杨卫中, 王雅淳, 姚瑶, 等. 基于窄带物联网的土壤墒情监测系统［J］. 农业机械学报, 2019, 50(S1): 243-247.

Yang Weizhong, Wang Yachun, Yao Yao, et al. Soil moisture monitoring system based on narrow band Internet of Things ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(S1): 243-247.

［19］　
张海峰, 李杨, 张宇, 等. 基于云服务的棚室蔬菜智能终端系统设计与实现——以黑龙江省为研究案例［J］. 智慧农业, 2019, 1(3): 87-99.

Zhang Haifeng, Li Yang, Zhang Yu, et al. Design and implementation of intelligent terminal service system for greenhouse vegetables based on cloud service: A case study of Heilongjiang province ［J］. Smart Agriculture, 2019, 1(3): 87-99.

［20］　
宦娟, 吴帆, 曹伟建, 等. 基于窄带物联网的养殖塘水质监测系统研制［J］. 农业工程学报, 2019, 35(8): 252-261.

Huan Juan, Wu Fan, Cao Weijian, et al. Development of water quality monitoring system of aquaculture ponds based on narrow band internet of things ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(8): 252-261.

［21］　
刘雨青, 李佳佳, 曹守启, 等. 基于物联网的螃蟹养殖基地监控系统设计及应用［J］. 农业工程学报, 2018, 34(16): 205-213.

Liu Yuqing, Li Jiajia, Cao Shouqi, et al. Design and application of monitoring system for crab breeding base based on Internet of Things ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(16): 205-213.

［22］　
任小娅. 鱼菜共生水质环境智能测控系统研发［D］. 泰安: 山东农业大学, 2019.

Ren Xiaoya. Research and development on intelligent measurement and control system for water quality environment of aquaponics ［D］. Taian: Shandong Agricultural University, 2019.

［23］　
孙永申. 基于物联网的鱼菜共生水质环境测控系统设计与应用［D］. 郑州: 华北水利水电大学, 2020.

Sun Yongshen. Design and application of water quality environment measurement and control system for fish and vegetable symbiosis based on Internet of things ［D］. Zhengzhou: North China University of Water Resources and Electric Power, 2020.

［24］　
刘斯洋, 颜家保, 夏正海, 等. 全固态新型铵离子选择性电极的制备及性能［J］. 现代化工, 2020, 40(12): 231-234.

Liu Siyang, Yan Jiabao, Xia Zhenghai, et al. Preparation and properties of a novel allsolidstate ammonium ion selective electrode ［J］. Modern Chemical Industry, 2020, 40(12): 231-234.

［25］　
祁力钧, 杜政伟, 冀荣华, 等. 基于GPRS的远程控制温室自动施药系统设计［J］. 农业工程学报, 2016, 32(23): 51-57.

Qi Lijun, Du Zhengwei, Ji Ronghua, et al. Design of remote control system for automatic sprayer based on GPRS in greenhouse ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(23): 51-57.

［26］　
黄东岩, 朱龙图, 贾洪雷, 等. 基于GPS和GPRS的远程玉米排种质量监测系统［J］. 农业工程学报, 2016, 32(6): 162-168.

Huang Dongyan, Zhu Longtu, Jia Honglei, et al. Remote monitoring system for corn seeding quality based on GPS and GPRS ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(6): 162-168.

［27］　
顾浩, 王志强, 吴昊, 等. 基于荧光法的溶解氧传感器研制及试验［J］. 智慧农业(中英文), 2020, 2(2): 48-58.

Gu Hao, Wang Zhiqiang, Wu Hao, et al. A fluorescence based dissolved oxygen sensor ［J］. Smart Agriculture, 2020, 2(2): 48-58.

［28］　
王志飞, 邓育林, 徐祎然, 等. 不同水体环境中氨氮对细鳞裂腹鱼的急性毒性［J］. 贵州农业科学, 2020, 48(1): 81-84.

Wang Zhifei, Deng Yulin, Xu Yiran, et al. Acute toxicity of ammonia nitrogen in different water environments to Schizothorax chongi ［J］. Guizhou Agricultural Sciences, 2020, 48(1): 81-84.

［29］　
王煜恒, 李庆, 陈军, 等. 不同溶氧浓度下非离子氨和亚硝酸盐对中华绒螯蟹的急性毒性［J］. 水产学杂志, 2019, 32(4): 38-44.

Wang Yuheng, Li Qing, Chen Jun, et al. Acute toxicity of nonionic ammonia and nitrite to Chinese mitten handed crab Eriocheir sinenisis at different levels of dissolved oxygen ［J］. Chinese Journal of Fisheries, 2019, 32(4): 38-44.

［30］　
韩剑, 莫德清, 汪楠. 基于MPSO-SVM非线性氨氮传感器的数据补偿［J］. 桂林理工大学学报, 2021, 41(1): 225-229.

Han Jian, Mo Deqing, Wang Nan. Data compensation based on MPSO-SVM nonlinear ammonia nitrogen sensor ［J］. Journal of Guilin University of Technology, 2021, 41(1): 225-229.

［31］　
陈威, 艾婵. 基于多元线性回归模型的武汉市水资源承载力研究［J］. 河南理工大学学报(自然科学版), 2017, 36(1): 75-79.

Chen Wei, Ai Chan. Research on water resources bearing capacity of Wuhan based on multivariate linear regression model ［J］. Journal of Henan Polytechnic University (Natural Science), 2017, 36(1): 75-79.

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