Aquaculture has experienced significant growth, accounting for 50% of the global fish supply consumed by humans. Tilapia is a widely farmed species that is popular in countries such as Peru and has become an important source of fish products. Water quality is critical to the success of aquaculture and several parameters such as temperature, dissolved oxygen, and pH must be monitored to maintain an optimal environment. This study proposes a system to monitor and control tilapia culture water parameters using a human–machine interface and sensors to collect real-time data. The system is based on the VDI- 2206 method using LabVIEW to automatically monitor and control temperature, pH, dissolved oxygen, and ammonia in the rearing pond. Simulations of the system show that it is capable of maintaining the parameters in the desired range. In addition, it provides operators with an intuitive interface for monitoring and control, providing an optimal environment for tilapia culture. This system offers improvements over previous studies, including more parameters and automatic control functions. Overall, this monitoring and control system is a valuable tool for improving the efficiency and sustainability of tilapia aquaculture. This system benefits both small and large-scale producers, contributing to the growth of tilapia aquaculture.

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Design of an HMI Interface for Monitoring and Control of Environmental Parameters in Tilapia Culture

  • Emerson Isai Nuñez-Ovalle,
  • Emerson Willian Bullon-Gozar,
  • Kevin Ramses Carhuachuco-Condezo,
  • Alem Huayta-Uribe,
  • Helder Alexis Mayta-Leon,
  • Manuel Michael Beraun-Espiritu

摘要

Aquaculture has experienced significant growth, accounting for 50% of the global fish supply consumed by humans. Tilapia is a widely farmed species that is popular in countries such as Peru and has become an important source of fish products. Water quality is critical to the success of aquaculture and several parameters such as temperature, dissolved oxygen, and pH must be monitored to maintain an optimal environment. This study proposes a system to monitor and control tilapia culture water parameters using a human–machine interface and sensors to collect real-time data. The system is based on the VDI- 2206 method using LabVIEW to automatically monitor and control temperature, pH, dissolved oxygen, and ammonia in the rearing pond. Simulations of the system show that it is capable of maintaining the parameters in the desired range. In addition, it provides operators with an intuitive interface for monitoring and control, providing an optimal environment for tilapia culture. This system offers improvements over previous studies, including more parameters and automatic control functions. Overall, this monitoring and control system is a valuable tool for improving the efficiency and sustainability of tilapia aquaculture. This system benefits both small and large-scale producers, contributing to the growth of tilapia aquaculture.