Измерение, мониторинг, управление, контроль (Jun 2022)
INTELLIGENT INFORMATION-MEASURING AND CONTROL SYSTEM FOR CONTROL OF THE STATE OF THE TERRITORIAL TECHNOSPHERE
Abstract
Background. To develop methods and means of monitoring the state of the territorial technosphere as a dynamic system, it is necessary to use mathematical modeling in order to study the influence and interaction of all its components in various modes of their functioning. Reliable measurement information about a large number of controlled parameters is also required. Materials and methods. The article proposes an intelligent information-measuring and control system for monitoring the state of the territorial technosphere. The basic element of this system, which ensures the minimization of the control error, is an intelligent sensor that allows measurement, conversion, self-diagnosis and automatic correction of measurement results. To ensure the minimization of the control error, it is proposed to use the transformation of the sensitivity of an intelligent sensor based on the Monte Carlo method in the zone of limiting parameter values. Structural diagrams of an intelligent information-measuring and control system and an intelligent sensor included in it, and an algorithm for transforming the sensitivity of an intelligent sensor based on the Monte Carlo method are proposed. Results. The authors have developed a scheme for algorithmic correction of the sensitivity of an intelligent sensor based on the Monte Carlo method. Modern smart sensors have a multivariant block structure. The main blocks are the primary measuring transducer (sensing element, sensor), switch, analog-to-digital converter, microcontroller, digital-to-analog converter. Conclusion. The proposed intelligent information-measuring and control system can provide intellectual support in solving a large number of problems of monitoring and managing the quality of the territorial technosphere, as it is capable of: processing and analyzing a large array of measurement information, monitoring the state of the territorial technosphere with limited information or uncertainty, recognizing anomalous states territorial technosphere, adapt, self-learn in changing conditions, etc.
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