IoAT:利用 DS18B20 传感器和 WeMos D1 R2 监测虎虾池塘水温的水产养殖物联网

Ramdan Satra, M. Hadi, S. Sujito, F. Febryan, Muhammad Hattah Fattah, S. R. Busaeri
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引用次数: 0

摘要

老虎虾的养殖是印度尼西亚渔业的一个重要部门,为该国的外汇收入做出了重大贡献。然而,在养殖过程中仍然存在挑战,特别是在收获结果不理想方面。虎虾养殖的一个关键因素是虾池内的水温,这一参数直接影响虾的生长。建议的正常温度范围是 28-31°C。偏离这个范围会对对虾的新陈代谢系统和食欲产生不利影响,导致应激和潜在死亡。温度波动会导致严重的问题,如生长受阻、生产力下降和对虾死亡率增加。实时监测空气温度成为确保对虾养殖成功的关键因素。本研究旨在为对虾养殖提供一个实用的解决方案,通过一个用户友好型网站应用程序,提出一个能让养殖户实时调整池塘气温的系统。由于能够及时应对异常的温度波动,养殖户能够优化养殖条件,从而降低对虾死亡率。研究重点是通过 Firebase 平台,利用云存储创建虎虾池塘水温监测系统。通过实施实时温度监测,可降低虾养殖户的经济风险,防止因温度引起的虾死亡造成损失。研究利用 DS18B20 温度传感器和 WeMos D1 R2 作为控制中心。网站上显示的气温测量结果表明,该系统的精确度高达 99%,误差极小,仅为 1.2%。这表明该系统能有效测量池塘上方和下方的空气温度。采用物联网技术监测池塘水质为虎虾养殖提供了一种实用的创新方法,有可能提高每次收获的产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoAT: Internet of Aquaculture Things for Monitoring Water Temperature in Tiger Shrimp Ponds with DS18B20 Sensors and WeMos D1 R2
Cultivation of tiger prawns stands as a crucial sector in Indonesia's fisheries industry, significantly contributing to the country's foreign exchange. However, challenges persist in the cultivation process, particularly concerning suboptimal harvest outcomes. A critical factor in tiger prawn cultivation is the water temperature within shrimp ponds, a parameter directly influencing shrimp growth. The recommended normal temperature range is 28-31°C. Deviations from this range can adversely impact the shrimp's metabolic system and appetite, resulting in stress and potential mortality. Temperature fluctuations can lead to severe issues such as hindered growth, reduced productivity, and increased shrimp mortality. Real-time monitoring of air temperature emerges as a pivotal element in ensuring the success of shrimp farming. This research aims to provide a practical solution for shrimp cultivation by presenting a system that enables farmers to adjust air temperature in ponds in real-time through a user-friendly website application. The ability to promptly respond to abnormal temperature fluctuations empowers farmers to optimize cultivation conditions, thereby reducing shrimp mortality rates. The research focuses on creating a water temperature monitoring system for tiger prawn ponds using cloud storage through the Firebase platform. By implementing real-time temperature monitoring, financial risks for shrimp farmers can be mitigated, preventing losses attributed to temperature-induced shrimp mortality. The research utilizes the DS18B20 temperature sensor and WeMos D1 R2 as the control center. The website displays air temperature measurements, showcasing a high accuracy of 99% with a minimal error of 1.2%. This underscores the system's effectiveness in measuring air temperature both above and below the pond. The incorporation of IoT technology for monitoring water quality in ponds offers a practical and innovative approach to tiger prawn cultivation, with the potential to enhance production outcomes in each harvest.
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