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    Projects > ELECTRONICS > 2017 > IEEE > EMBEDDED SYSTEMS

    Design and implementation of a distributed IoT system for the monitoring of water quality in Aquaculture


    Abstract

    In this work we present the prototype and proof of concept of a distributed monitoring system of the most important variables in aquaculture water quality. This is of great importance because aquaculture is a lagging area of technology compared to other areas such as agriculture. So it is important to solve the problems that are in this area with the support of technology. Among the problems is the slow response time in the care of water quality, the waste of resources and losses. The system proposed in this work monitors the water quality based on wireless sensor networks and on the Internet of Things (IoT). This information is important for the development of this area, since it allows sharing the different conditions in the breeding of aquatic organisms between different breeders and organizations. This information is useful to know the conditions in which there is a better development of a product, worse development, what conditions can mean a possible disaster in the environment and how to optimize resources for the care of the pond.


    Existing System

    Dynamic monitoring based on wireless sensor networks of IoT.


    Proposed System

    The aim of this work is design and implements a distributed system for aquaculture water quality care through remote monitoring of dissolved oxygen, pH and temperature. This work will contribute remote monitoring distributed system through what is known as the Internet of Things to monitoring water quality in ponds. The system is modular, portable, low cost, versatile and allows sharing information through the cloud that can be used for the development and improvement of aquaculture activities. This work presents the implementation of a prototype and a proof of concept about a remote monitoring system applying the concept of IoT among others technologies addressed to aquaculture water quality. This system is low cost, low power consumption, scalable, versatile, distributed, mobile and accurate.


    Architecture


    System General Blocks and Data Flow


    System Architecture


    Hardware Diagram


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