Automatic RAS data acquisition and processing system using fog computing

Abstract

Recirculating Aquaculture System (RAS) enables high density fish farming and said to be the key technology to allow world aquaculture community to supply per capita needs for aquatic species over the coming decades with environmentally and friendly manner. RAS offers controlled environment which permits product growth rate control and predictable harvesting schedule. Two parameter categories need to be monitored in RAS — direct and indirect. Direct parameter like pH, temperature, dissolved oxygen and some other water quality parameter exist as natural elements. The indirect parameter comes from the calcution based on stock capacity that will affect the content of these natural parameters. Extensive data acquisition and analysis will determine the success of RAS. The vast number of data will affect the network traffic especially if the system is cloud-based. Fog computing offers reduction of network traffic by providing a platform to filter and analyse the data generated by the devices. Real time decision and control also will be another advantageous in using fog technology. By using embedded system together with open source technology which offer small size, low cost, light weight, protable, high efficiency and low power consumption this paper will show how the RAS system can be equipped with fog computing in order to form an automatic data acquisition and monitoring system.