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基于无线传感器网络的鱼塘水质管理研究

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随着水产养殖业的快速发展，鱼塘水质管理成为保障养殖效率与产品品质的关键因素。文章探讨了一种基于无线传感器网络的鱼塘水质监测系统的设计与应用。该系统集成了多种水质传感器，如溶解氧、pH值、温度和氨氮浓度传感器，以实时监测鱼塘的水质参数。传感器节点通过无线方式将采集到的数据传输至汇聚节点，再由汇聚节点将数据发送至远程监控中心，实现对水质的远程监控与管理。该系统采用自组织网络技术，能够适应鱼塘复杂多变的环境，降低布线成本，提高监测灵活性。此外，该研究还涉及数据处理算法与预警机制，以便及时发现水质异常并采取相应措施，确保水质维持在适宜养殖的范围内。通过试验验证，该系统有效提升了鱼塘水质管理的效率与精确度，对促进水产养殖业的智能化发展具有重要意义。
Study on wireless sensor network for water-quality management of fish pond
With the rapid development of aquaculture,the management of fish pond water quality has become a key factor in ensuring the efficiency and quality of breeding.This paper discusses the design and application of a fish pond water quality monitoring system based on a wireless sensor network.The system integrates various water quality sensors,such as dissolved oxygen,pH value,temperature,and ammonia nitrogen concentration sensors,to monitor the water quality parameters of the fish pond in real time.Sensor nodes transmit the collected data by wireless to the aggregation nodes,which then send the data to a remote monitoring center,enabling remote monitoring and management of water quality.The system uses self-organizing network technology,which can adapt to the complex and variable environment of the fish pond,reduce wiring costs,and enhance the flexibility of monitoring.In addition,the research also involves data processing algorithms and early warning mechanisms to detect water quality abnormalities in a timely manner and take corresponding measures to ensure that the water quality remains within the suitable range for breeding.Through testing,the system has effectively improved the efficiency and accuracy of fish pond water quality management,which is of great significance for promoting the intelligent development of the aquaculture industry.

wireless sensor networkwater quality monitoring systemwater quality parameterssensor node,self-organizing network technologydata processing algorithms and early warning mechanism

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昆明理工大学津桥学院,云南 昆明 650106

无线传感器网络 水质监测系统 水质参数 传感器节点 自组织网络技术 数据处理算法与预警机制

云南省教育厅科研项目

2023J1321

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子：0.263
ISSN：1672-6944
年,卷(期)：2024.21(17)