现代电子技术2026，Vol.49Issue(2)：29-34,6.DOI:10.16652/j.issn.1004-373x.2026.02.005
物联网技术下农业水产养殖水质在线监测方法
Method of agricultural aquaculture water quality online monitoring based on Internet of Things technology
摘要
Abstract
Due to factors such as high temperature,increased biological activity in water bodies,and high stocking density,the current aquaculture industry faces the problem of ineffective monitoring of key water quality factors such as dissolved oxygen,which increases the risk of deteriorating aquaculture water quality,biological diseases,and even leads to loss of appetite and large-scale mortality of fish.Therefore,a method of agricultural aquaculture water quality online monitoring based on Internet of Things technology is proposed.An online monitoring framework for agricultural aquaculture water quality based on the Internet of Things is built.The intelligent data collection terminal of the perception layer is used to obtain key water quality data such as pH value,water temperature,and dissolved oxygen in the aquaculture pond in real time,and the 5G network of communication layer and base station are used to transmit these to the application layer.The application layer can be used to process the water quality monitoring data based on improved BiLSTM and state transition constraint methods.The remote monitoring and management module are used to remotely control the water quality adjustment device,achieving precise control of the aquaculture water environment.IoT sensors are centrally managed by means of Profile configuration files and data encoding and decoding tools,so as to realize remote monitoring of agricultural and aquaculture water quality.The experimental results show that the proposed method can effectively monitor the water quality status of agricultural aquaculture,and the F1 score of the monitoring results can reach 0.935,with a root mean square error of 0.087.关键词
农业水产养殖/水质监测/物联网技术/水质调节装置/改进BiLSTM/状态转移约束Key words
agricultural aquaculture/water quality monitoring/Internet of Things technology/water quality adjustment device/improved BiLSTM/state transition constraint分类
信息技术与安全科学引用本文复制引用
慕光宇,乔璐,曾雯茜,韩宇..物联网技术下农业水产养殖水质在线监测方法[J].现代电子技术,2026,49(2):29-34,6.基金项目
辽宁省教育厅科研项目(JYTMS20230495) （JYTMS20230495）
国家自然科学基金项目(42406198) （42406198）
辽宁省教育厅科研项目(LJ212410158025) （LJ212410158025）
辽宁省属本科高校基本科研业务费专项资金(2024JBYBZ006) （2024JBYBZ006）
设施渔业教育部重点实验室(大连海洋大学)资助项目(KLECA202405) （大连海洋大学）
