用物联网支持的水产养殖水质有效实时监测方法
Rupali P Shete1, Anupkumar M Bongale2, Deepak Dharrao3
1Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune Campus, Lavale, Pune, Maharashtra, India.
MethodsX
|September 12, 2024
概括
本研究介绍了一种物联网系统,用于实时监测水产养殖水质. 该技术通过准确的传感器数据帮助预防鱼类疾病和死亡,减少人类干预.
科学领域:
- 水产养殖是水产养殖的一种方式.
- 环境监测 环境监测
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 水产养殖是一个不断增长的行业,对可持续的粮食和经济发展至关重要.
- 有效的水质监测对于高产水产养殖至关重要.
- 技术集成,特别是物联网,为实时监控和控制提供了解决方案.
研究的目的:
- 为在水产养殖环境中整合物联网传感器引入一个全面的方法.
- 为了能够准确地实时测量关键的水质参数 (温度,pH,溶解氧).
- 以最小的人类干预和成本来降低鱼类疾病和死亡率.
主要方法:
- 利用Arduino板和通信模块进行物联网传感器集成.
- 设计和开发了一种紧的印刷电路板 (PCB),用于准确的传感器读数和可靠的通信.
- 执行仪器校准和交叉验证自动化数据与手动观察.
主要成果:
- 实现了温度,pH值和溶解氧 (DO) 的准确实时数据收集.
- 通过数据驱动的决策,证明了系统能够通过数据驱动的决策来预防鱼类疾病和死亡.
- 通过严格的校准和验证测试,确保精确的传感器测量.
结论:
- 开发的物联网系统为智能水产养殖提供了有效的解决方案.
- 实时水质监测可显著提高水产养殖的可持续性和经济可行性.
- 来自物联网传感器的数据驱动洞察力对于主动的鱼类健康管理至关重要.
相关概念视频
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