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基于物联网的水产养殖水质监测系统。

IoT-Based Fish Farm Water Quality Monitoring System.

机构信息

Department of Electronic Communication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811213, Taiwan.

Microchip Technology Inc., Chandler, AZ 85224, USA.

出版信息

Sensors (Basel). 2022 Sep 5;22(17):6700. doi: 10.3390/s22176700.

Abstract

Typhoons in summer and cold snaps during winter in Taiwan often cause huge aquaculture losses. Simultaneously, the lack of human resources is a problem. Therefore, we used wireless transmission technology with various sensors to transmit the temperature, pH value, dissolved oxygen, water level, and life expectancy of the sensor in the fish farm to the server. The integrated data are transmitted to mobile devices through the Internet of Things, enabling administrators to monitor the water quality in a fish farm through mobile devices. Because the current pH sensors cannot be submerged in the liquid for a long time for measurements, human resources and time are required to take the instrument to each fish farm for testing at a fixed time. Therefore, a robotic arm was developed to complete automatic measurement and maintenance actions. We designed this arm with a programmable logic controller, a single chip combined with a wireless transmission module, and an embedded system. This system is divided into control, measurement, server, and mobility. The intelligent measurement equipment designed in this study can work 24 h per day, which effectively reduces the losses caused by personnel, material resources, and data errors.

摘要

台湾夏季的台风和冬季的寒流经常导致水产养殖业遭受巨大损失。同时,人力资源的缺乏也是一个问题。因此,我们使用带有各种传感器的无线传输技术将养殖场中的温度、pH 值、溶解氧、水位和传感器寿命等数据传输到服务器。集成数据通过物联网传输到移动设备,使管理员能够通过移动设备监控养殖场的水质。由于目前的 pH 传感器不能长时间浸入液体中进行测量,因此需要人力资源和时间将仪器带到每个养殖场进行固定时间的测试。因此,我们开发了一种机械臂来完成自动测量和维护操作。我们使用可编程逻辑控制器、单片机结合无线传输模块和嵌入式系统来设计这个机械臂。这个系统分为控制、测量、服务器和移动性四个部分。本研究设计的智能测量设备可以每天 24 小时工作,有效地减少了人员、物力和数据错误造成的损失。

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