Asynchronous Sensor System for Collecting Detailed Data on the Environment and Resource Consumption in Smart City
Sergey Surnov, Igor Bychkovskiy, Grigory Surnov, Nikolay Surnov

TL;DR
This paper proposes an asynchronous sensor monitoring system for smart cities that collects detailed environmental and resource consumption data, reducing costs and increasing data value to promote sustainable urban development.
Contribution
It introduces a novel asynchronous monitoring method that simplifies sensors, standardizes protocols, and enhances data granularity for smart city applications.
Findings
Enables more detailed and valuable data collection.
Reduces sensor and system costs significantly.
Facilitates new market opportunities for resource and environmental data.
Abstract
This article expands on the ideas presented in arXiv:1910.08759. The article demonstrates that within a unified monitoring system, cities can collect not only detailed resource consumption data but also information on the environmental conditions under a common set of rules. A method for constructing asynchronous sensor monitoring systems for controlled parameters in Smart City is proposed. The controlled parameters include: resource consumption in apartment buildings (electricity, cold and hot water, heat, gas); indoor and outdoor air pollution indicators (carbon monoxide, nitrogen oxides, hydrocarbons, dust, heavy metals, radiation levels, etc.); meteorological parameters (air temperature and humidity, atmospheric pressure, wind speed and direction). In an asynchronous sensor monitoring system, an event occurs when the value of a controlled parameter changes by a specified amount.…
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Taxonomy
TopicsAdvanced Data Processing Techniques · Economic and Technological Systems Analysis · Engineering Education and Technology
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
