Smart Dust class swarm sensor systems for intelligent monitoring of exhaust ducts at thermal power and mining and metallurgical facilities
P.V. ZaitsevSiberian Federal University, Krasnoyarsk, RussiaD.I. KovalevKrasnoyarsk State Agrarian University, Krasnoyarsk, RussiaNafisa KulmurodovaNavoi State University of Mining and Technologies, Navoi, Uzbekistan
2026
ABI
Abstract
This paper explores the application of Smart Dust–based swarm sensor systems for intelligent monitoring of gas exhaust ducts in thermal power and mining–metallurgical facilities in the Zarafshan region. The architecture of microsensor nodes, their operation within a distributed swarm network, and their integration into the cyber physical infrastructure of industrial sites are presented. It is shown that Smart Dust enables continuous, high resolution, multi parameter monitoring of gas exhaust ducts under harsh operating conditions, enhancing the diagnostic value of measurements and providing early detection of structural and process anomalies without reliance on wired infrastructure or high risk manual inspections.
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