Validation of a low-cost wireless sensors node for museum environmental monitoring

Abstract

<p class="Abstract"><span lang="EN-US">Wireless Sensor Network (WSN) has been adopted in many contexts, such as healthcare or industry. In museum scenarios, WSN has been introduced for environmental monitoring, to control temperature and relative humidity. Nowadays, the development of low-cost micro-scale sensing units, opened to new possibilities for WSN development, enlarging the set of feasible measurements to gaseous pollutant concentration, relative humidity, temperature, light intensity, air flow, or vibration.</span></p><p class="Abstract"><span lang="EN-US">This work is part of the overarching goal of developing a low-cost and minimally invasive WSN designed for a museum scenario. The proposed WSN node, based on a ZigBee standard, gathers signals provided by: a 9-axis MIMU, a sensor for temperature and relative humidity, and three gas detection boards. In this paper, specifically, we present performances of the WSN node in detecting: structure tilt, vibrations, and daily cycle of humidity, temperature, and gas deposition.</span></p>

RF Energy Harvesting IoT System for Museum Ambience Control with Deep Learning

“…The building blocks of the architecture are designed for ultra-low-power operation such that it can exploit RF energy harvesting for a prolonged lifetime, despite the use of always-on sensors for occupancy detection and touch detection. This contrasts with existing platforms in the related literature that are battery-powered [2,9,10,11,12], and hence, have a limited lifetime and are incapable of using occupancy and touch-detection sensors.…”

“…The building blocks of the architecture are designed for ultra-low-power operation such that it can exploit RF energy harvesting for a prolonged lifetime, despite the use of always-on sensors for occupancy detection and touch detection. This contrasts with existing platforms in the related literature that are battery-powered [2,9,10,11,12], and hence, have a limited lifetime and are incapable of using occupancy and touch-detection sensors.The development of a deep learning-based framework for indoor air quality prediction and control that predicts the ambience conditions in the upcoming 24 hours. The proposed framework makes the system robust and fault tolerant by providing another source of ambience conditions, such that if the sensors’ readings coming from the IoT system are disrupted for any reason, the museum control is not affected.…”

“…These applications make use of the Internet’s main characteristics (availability, scalability, …, etc.). There are three main applications of using IoT in a museum environment: museum ambience monitoring [2,9,10,11,12], smart museum [14,15,16,17], and museum surveillance [18,19].…”

“…For instance, Wireless Sensor Network (WSN) is the main concept used in the literature. Efforts have been taken to design systems that contain only WSN, without including connectivity to the Internet, as in [10]. Other designs (such as [2]) exploit cloud connectivity to monitor ambient attributes from a mobile phone.…”

Environmental Monitoring of Ancient Buildings Based on a Wireless Sensor Network

“…The system has a high accuracy and reliability, but the monitoring parameter is single. Unfortunately, at present, swireless sensor network are rarely used in the field of ancient building environmental monitoring, although there are also many researchers who have done a lot of work regarding this [26,27,28,29,30,31]. Leccese et al [32] designed a new acquisition system for the remote control of murals and tested it in the field.…”