RATIONALE OF THE REQUIREMENTS OF IOT-TECHNOLOGY STRUCTURAL AND ALGORITHMIC ORGANIZATION ON GREENHOUSE GASES CONCENTRATIONS MONITORING

Abstract

Relevance. The issues of environment preservation and protection have become especially relevant in recent decades. One of the significant challenges is the fight against the greenhouse effect phenomenon using various scientific, technical and organizational methods. To date, one of the most effective approaches for solving the problem of combating the greenhouse effect rapid dynamics is to obtain intelligently interpreted data on the dynamics of greenhouse gases in real time. Therefore, the development and implementation of Internet of Things technologies designed for computerized analysis of greenhouse gases concentrations is a relevant scientific and applied task. The main goal is a synthesis of scientifically based methods for the development of IoT-technology structural and algorithmic organization, which is capable of real-time implementation of a complex of measurement data functional transformations on greenhouse gases concentrations computerized monitoring. The research object is the existing approaches to collection systems organization, methods of transmission and processing of measurement data on greenhouse gases concentrations monitoring. The research subject is infocommunication software and hardware solutions in the field of greenhouse gases concentrations monitoring. Conclusions. It has been proven that the development and implementation of conceptual solutions in the field of information technologies on greenhouse gases concentrations monitoring is a relevant scientific and applied task at the present time. The article solves the scientific and applied task of the requirements set rationale for the structural and algorithmic organization of the applied environmental IoT-monitoring technology. The existing approaches to construction have been analyzed and the selection of appropriate technical hardware and software solutions has been performed, a logical generalization of data collection and analysis systems has been carried out and the general architecture of the researched technology has been synthesized. Based on the architecture of the technology its functional diagram and detailed work-algorithm have been substantiated, the main components have been described and the basic functions have been formulated.