Fishery Modernization ›› 2025, Vol. 52 ›› Issue (4): 111-. doi: 10.26958/j.cnki.1007-9580.2025.04.010
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Abstract:
This research designed a scallop larval culture environment monitoring and control system based on a three-layer Internet of Things architecture to increase the survival rate of scallop larval cultivation. In order to achieve remote intelligent monitoring of the scallop larval cultivation environment, it is comprised of water quality monitoring, video monitoring, intelligent control, and a remote service center. The system's primary control center is an STM32 microcontroller, which gathers data on water quality via the ModBus protocol to provide real-time monitoring of dissolved oxygen, water temperature and liquid level; The Yingshi Cloud platform is used in the video surveillance to track the scallop larval's cultivation state and the water level of the cultivation cone; The device uses fuzzy neural network PID control to intelligently regulate the dissolved oxygen and water's temperature levels; Web and Android applications have been created by the application layer. The complete system network is linked to the Alibaba Cloud platform and uses a WiFi wireless network module. Users can remotely view the data about the cultivation environment using web browsers and Android application terminals thanks to the integrated server administration program. Build an experimental system and test the communication stability, data accuracy, and web application individually. The communication success rate of the complete system reaches above 99%, with an average relative measurement error of ±0.074mg/L for dissolved oxygen and ±0.079℃ for water temperature. The system has been operating steadily and dependably, supporting the equipment used in the scallop seedling business and satisfying the requirements of raising scallop larval in circulating water.
Key words:
scallop larval cultivation,
monitor,
dissolved oxygen,
water temperature,
liquid level,
Internet of Things
摘要： 为提高扇贝幼体培育成活率，开发了一种基于物联网三层体系架构的扇贝幼体培育环境监测调控系统，由水质监测、视频监视、智能控制和远程服务中心组成，实现了对扇贝幼体培育环境的远程智能监控。该系统采用STM32单片机作为主控中心，通过ModBus协议采集水质数据，实现了溶氧、水温和液位的实时监测；视频监视采用萤石云平台，实现了对培养锥水位和扇贝幼体培育状态的监视；系统采用模糊神经网络PID控制，实现溶氧和水温的智能控制；应用层开发了Web和Android应用端。整个系统组网采用WiFi无线网络模块，接入阿里云平台，通过搭建的服务器管理程序，用户可以通过Web和Android应用端远程浏览培育环境数据。搭建试验系统，并对通讯稳定性、数据准确性、Web应用端分别进行测试，整个系统通讯成功率达到99％以上，溶氧平均相对测量误差为±0.074 mg/L，水温平均相对测量误差为±0.079 ℃。系统运行至今稳定可靠，能够满足循环水扇贝幼体培育的需求，为扇贝育苗产业提供装备支撑。
