Search academic texts

Information × Registration Number 0225U003739, (0123U101602) , R & D reports Title Intelligent measuring and control modules of critical infrastructure monitoring systems for ensuring high informative value, survivability, and reliability popup.stage_title Виготовлення експериментального дослідного взірця ВКМ, результати його тестування з базовим програмним забезпеченням, розроблення програмного забезпечення вбудованого метрологічного обслуговування Head Kochan Volodymyr V, Кандидат технічних наук Registration Date 11-08-2025 Organization Western Ukrainian National University popup.description1 Development of scientific principles and methods for the intelligent measuring and control modules creation, which, due to the self-diagnosis, self-calibration, artificial intelligence (self-adaptation and self-learning) methods as well as built-in metrological support, will have measuring channel high accuracy as a whole (including sensors), metrological reliability and autonomy, resistance to elements degradation and to various types of interferences. Also, remote reprogramming will provide flexibility in adaptation to the performed tasks and hardware resources for intelligent measuring and control modules' economy. popup.description2 During the implementation of the project, an intelligent measurement and control module (MCM) was developed for use in monitoring and control systems (MCS) for critical infrastructure facilities (CIFs) under normal, emergency, and post-emergency conditions. Within the scope of the work, methods for achieving the project objectives were developed, along with the MCM structural architecture, its hardware schematics and functional units, and basic software algorithms, ensuring the module’s informativeness, resilience, and data reliability. At the first stage, the structural architecture of the MCM was developed; circuit diagrams of functional units were designed and simulated; technical requirements and performance parameters were defined. Special attention was paid to enhancing measurement accuracy and implementing an embedded metrological self-test system (for ADCs, DACs, and sensors) that operates without interrupting the module. The MCM architecture supports the integration of signal processing and control algorithms, including artificial intelligence (AI)-based methods. At the second stage, an experimental prototype of the MCM was manufactured, including the assembly of hardware units (power supply, switching circuits, signal conversion, reference voltage source), and the implementation of basic software. Bench testing of the prototype with the basic software was performed, along with simulation of emergency operating scenarios. The results confirmed high measurement accuracy (24-bit sigma-delta ADC), noise immunity up to 180 dB, and autonomous operation for up to 72 hours using drone-based communication relays. In addition, dedicated software for embedded metrological support was developed, enabling periodic verification of measurement channels and automatic detection of unreliable data. The developed MCM is recommended for implementation in energy, industrial, environmental safety systems, as well as in defense applications. Product Description popup.authors Bykovyy Pavlo Ye. Bodianskyi Yevhen V. Zastavnyi Oleh M. Kochan Orest V. Kochan Roman V. Lendiuk Dmytro T. Lendiuk Taras V. Savenko Oleh S. Sachenko Anatolii O. Sachenko Svitlana I. popup.nrat_date 2025-08-11 Close