Universal Smart Circuit Breaker Concept
The paper dwells upon the principles of creating a technological platform for developing an innovative social infrastructure to diagnose and monitor individual and collective power supply systems, building life support, home appliance conditions, Internet of Things devices, and public utilities. The...
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Published in | 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) pp. 1 - 4 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2019
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Subjects | |
Online Access | Get full text |
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Summary: | The paper dwells upon the principles of creating a technological platform for developing an innovative social infrastructure to diagnose and monitor individual and collective power supply systems, building life support, home appliance conditions, Internet of Things devices, and public utilities. The paper proposes novel circuitries and design solutions to optimize and reduce the sizing of the existing energy flux quality monitoring tech by two orders of magnitude. It also proposes: an element-base implementation that considers the complex effects of destabilizing factors; an optimal-topology design of hybrid integrated circuits (HIS) and micro-assemblies; models and algorithms for the statistical estimation of analog-circuit parameter distributions to create an automated subsystem for statistical analysis and optimization of the functional parameters of analog HIS and micro-assembles; an analysis of how process factors affect the reliability of internal connections when assembling components on substrates and connecting the substrate contact pads to the HIS and micro-assembly outputs; as well as a bill of materials and technologies. The conclusion formulates the opportunities to improve the design technology and to design energy-efficient buildings, as well as to provide novel information services (such as power-infrastructure monitoring, etc.) to industries and people alike. Some of the results have been obtained within the research funded by the Russian Ministry of Education and Science under the Project Agreement No. 14.579.21.0158 UID RFMEFI57918X0158. |
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DOI: | 10.1109/ICIEAM.2019.8743080 |