Abstract

Currently, systems equipped with scanning equipment and a variety of sensors are increasingly used to monitor the area. At the same time, the growing need to automate the monitoring of closed and open areas stimulated the development of robotic systems and mobile sensors. Mobile and multifunctional robots are usually accepted as a means to reduce the structuring of the environment and the number of devices required to perform the tasks. However, the number of different sensors installed on the robotic system and the number of complex tasks related to intelligence, monitoring and surveillance make the design of the overall system extremely complex. Construction of a robotic monitoring system requires appropriate scientific justification. This raises the need to develop appropriate theoretical provisions, especially in relation to assessing the effectiveness of the system. As the robotic terrain monitoring system is dynamic due to the use of mobile elements, it makes it difficult to assess its effectiveness. The structure of the system assumes the dependence of the efficiency of each element of the system on its spatio-temporal location and the corresponding location of the monitoring objectives. The aim of the article is to use the functional field of the system to evaluate the effectiveness of the robotic area monitoring system. From the above it follows the need to develop mathematical models of the structure of the robotic system for monitoring the area and its functioning. Thus, as a result of construction and application of a system with a dynamic structure in the space of functioning of the system, its functional field is formed. A functional model based on the functional field of the system with a dynamic structure is proposed, which will allow solving the problems of building the structure of the system and evaluating its efficiency. The procedure for determining the parameters of the functional field of a system with a dynamic structure is much simpler than determining the numerical values of system performance indicators. This will ensure sufficient accuracy of the results and simplicity of computational procedures.

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