The purpose of the dissertation is to increase the efficiency of forecasting the thermophysiological state of human by developing and using information technology taking into account local environmental influences. The object of research is the process of predicting the thermophysiological state of human. The subject of research is methods, models and means of forecasting the thermophysiological state of human taking into account the local influences of the environment. Research methods are based on the use of: multicompartmental modeling, methods of systems analysis and systems approach in the study of information systems, the apparatus of differential equations - to model the thermophysiological state of human; numerical methods, methods of object-oriented programming - for the development of service-oriented system; methods of mathematical statistics - to verify the work of information technology. The dissertation contains previously unprotected scientific positions and new scientifically substantiated results obtained by the author, which consist in the development of models for forecasting the thermophysiological state of human. During the dissertation, the following results were obtained. The existing information technologies, models and methods of forecasting the thermophysiological state of a human are analyzed. From the analysis it was concluded that the methods of simulation of existing models for predicting the thermophysiological state are unstable to the input data, so work only with a digital mannequin, which has the physical and physiological characteristics of the average person. In the dissertation work further developed models for predicting the thermophysiological state of human, which, unlike others, allow to predict the thermophysiological characteristics of human not only in time but also in space, and to objectify the decision about the possibility of human in such an environment. To obtain a temperature distribution not only in time but also in space, a model with distributed parameters is proposed. The model takes into account heat exchange by conduction, radiation and convection. The model also takes into account human adaptation to climatic conditions, heat loss due to air and water, clothing, protective equipment, respiration, evaporation of fluid from the surface of the human body, shivering. In the dissertation the method of forecasting of a thermophysiological condition of the person which allows to work with real physical and physiological characteristics of the person and to receive forecasts more relevant to real, unlike other methods which process only average data on the person is developed. The method of predicting the thermophysiological state of human was developed through the use of an implicit scheme of the finite difference method, which is resistant to any initial conditions, it allow the processing of the input physical and physiological characteristics of a real person. The paper improves the method of simulation of the distributed model of forecasting the thermophysiological state of human to increase the speed of forecasting, which, unlike others, enables or accelerates the process of making operational decisions about human presence in given environmental conditions. For this purpose, a parallel Gaussian method was introduced into the method of simulation of distributed model for predicting the thermophysiological state of a person. To analyze the speed, several experiments were performed and it was investigated, depending on the integration steps, the speed of the proposed method increases by 60% -80%. The practical result is the construction of a service-oriented information system with integrated simulation, which allows remote research of the thermophysiological state of human, taking into account local environmental influences, and provide sound recommendations for human stay in such an environment.
