Abstract
In the field of Smart Cities, especially for Smart Street Lighting and Smart Mobility, the use of low-cost devices is considered an advantageous solution due to their easy availability, cost reduction and, consequently, technological and methodological development. However, this type of transducers shows many critical issues, e.g., in metrological and reliability terms, which can significantly compromise their functionality and safety. Such issue has a large relevance when temperature and humidity are cause of a rapid aging of sensors. The aim of this work is to evaluate the effects of accelerated aging in extreme climatic conditions on the performance of a control system, based on a low-cost ultrasonic distance sensor, for public-lighting management in Smart Cities. The presented architecture allows for the detection of vehicles, pedestrians and small animals and contains a dedicated algorithm, developed in an Edge/Cloud environment, that is able to display the acquired measurements to users connected on the web. The obtained results highlight that the effect of accelerated aging is to significantly reduce the linearity of the calibration curve of the sensor and, moreover, to exponentially increase the number of outliers and invalid measurements. These limitations can be overcome by developing an appropriate self-calibration strategy.
Highlights
Published: 17 February 2022The continuous development, at the technological level, of modern society has led to the exponential spread of smart devices and infrastructures in every aspect of common life and recently in urban environments [1,2,3,4]
The aim of this paper is to investigate the effects of accelerated aging on the metrological performance of a control system, based on a low-cost ultrasonic distance sensor, for public lighting management in the field of Smart Street Lighting and Smart Mobility
SRF05, before the latter was subjected to the accelerated aging
Summary
Published: 17 February 2022The continuous development, at the technological level, of modern society has led to the exponential spread of smart devices and infrastructures in every aspect of common life and recently in urban environments [1,2,3,4]. The European Commission defines Smart Cities as cities using technological solutions to improve the management and efficiency of the urban environment [5] These are modern cities in which a network of sensors and actuators, integrated throughout the urban area, is able to interact with wireless mobile devices [6]. It is estimated that public street lighting currently requires about 35 TWh of electricity, with over 56 million of streetlamps only for the international urban environment [14]. This involves the introduction of further adaptations relating to cost reduction, increased efficiency and Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations
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