SYSTEM OF ECOLOGICAL TOXICANT IDENTIFICATION IN CLOSED PREMISES

Statement of the problem. Increase in ecological safety of building materials, products and structures as well as in real-time monitoring of hazardous substances content in closed premises is an urgent problem. The aim of the paper is to develop a modern pattern of a multisensor system based on chemical sensors to recognize the presence of typical ecological toxicants in closed premises at a level exceeding maximum permissible concentrations. The system is aimed at the control of environmental safety in building construction and municipal services.Results. A mathematical model of toxicant detection system of using the intelligent processing of information based on the neural computer technology was suggested. An algorithm for analytical monitoring of organic pollutants as well as a scheme for gas analysis of toxic substances. The sys-tem is designed to detect hazardous substances in closed spaces.Conclusions. The methodology of artificial neural networks for signal processing multisensory recognition system toxicants indoors is proposed.