Model and structure of the network internet of things for monitoring milk quality

Abstract

The quality of milk is evaluated by a number of control points, which include a number of indicators, such as fat content, protein, lactose, density, etc. It is proposed to use the Internet of things (IoT) technology to control the quality of milk from distributed dairy farms. A multi-agent model of IoT network and the structure of such an IoT network for monitoring the quality of milk from different farms is presented. The model is represented by a variety of agents: milk analyzers, converter, storage of quality indicators, their processing, decision-making, monitoring of milk quality indicators. The structure of the IoT network includes milk analyzers, gateways-converters, a cloud platform, and mobile devices. The cloud platform rents a server that hosts knowledge and data bases, special software (solver) for processing and making decisions on milk quality, and a farm website. The database of the cloud structure server stores milk quality characteristics, and the knowledge base stores the rules for processing them. The solver outputs deviations from the current milk quality indicators from the standards. The site is used for communication of specialists in milk quality control. Monitoring of milk quality characteristics is implemented from mobile devices of specialists with access to the site components. The 4th generation LTE network using NB-IoT technology was chosen as the network for transmitting information from dairy farms to the cloud. The review of milk analyzers of both domestic and foreign companies is carried out. A gateway solution for querying milk analyzers and transmitting parameters to the cloud infrastructure is presented. Popular cloudplatforms for building a network of IoT are presented.