Mobile System for Monitoring, Early Detection and Assessment of Fire Danger

The purpose of the research is to develop recommendations for the use of mobile platforms for monitoring, early detection and assessment of fire danger based on the use of heterogeneous information about the state of the object of study and modern information and intelligent technologies that improve the quality of decisions about the fire situation.

Research methods. To assess the nature and type of fires, it is proposed to use sensors of electromagnetic fields generated by the flame, in combination with sensors of chemicals and burning temperature. Neural networks and hybrid fuzzy decision rules are used to synthesize mathematical models for assessing the fire situation and predicting and evaluating the condition of people in the fire zone.

Results. In the course of the conducted research, a range of the main tasks solved by mobile platforms interacting with automated operator workstations was formulated. The types of registered signals in the controlled zones are selected and recommendations for the selection of the element base of mobile platforms are formed. Recommendations are given for the synthesis of decisive rules for assessing the fire situation, forecasting and assessing the condition of people in the fire zone. An example of the classification of smoldering and open flames is given.

Conclusion. In the course of the conducted research, a list of tasks solved by mobile platforms during monitoring, early detection and assessment of fire danger was determined. It is shown that as a basic system of fire situation sensors, sensors of electromagnetic fields of the ultraviolet, optical and infrared range should be used in combination with sensors of temperature and chemical composition of substances in the area of ignition. It is advisable to select the composition of sensors and synthesize the decisive rules for classifying the type and nature of fires using modern mathematical methods, information and intelligent technologies.

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