Convergence of the Internet of Things and situation management systems

Abstract

Quick and accurate provision of information in the processes of situational management ac-quires special importance in the critical areas of application – the prevention and elimination of the consequences of catastrophic events, the management of military operations, medical activi-ties, the management of energy systems, etc. The goals and objectives of activities in these are-as also determine the specifics of building appropriate situation management systems for them. The functioning of such systems is based on obtaining accurate and current information about the environment in which situational management is carried out. The convergence of situation management systems with the means of wireless sensor networks (Wireless Sensor Networks, WSN) and the Internet of Things (IoT) ensures obtaining such information. The article analyzes the means of the Internet of Things from the point of view of their ability to be combined in sit-uation management systems to solve management problems in various spheres of activity. The construction features and advantages of using situational systems based on IoT in various spheres of activity are considered. The convergence of IoT in situational systems of various types requires the solution of IoT-typical tasks related to the organization of a heterogeneous network environment with controlled energy consumption and the need to process large vol-umes of data. The paper demonstrates that the scope of application determines the specific re-quirements for the construction of situation management systems, and in each specific case the system of requirements is focused on the support of a critical requirement. One of the main problems of the convergence of IoT and situation management systems is the difficulty of standardizing the operating environment. The multiplicity and variety of options for possible solutions in the development of such systems determine the need for the use of intelligent tech-nologies for the development of systems with the use of artificial intelligence and knowledge models of the target subject area.