Mario Casado Diezon behalf of the Gaia4Sustainability team
{"title":"FreeDSM and the Gaia4Sustaniability project: a light pollution meter based on IoT technologies","authors":"Mario Casado Diezon behalf of the Gaia4Sustainability team","doi":"arxiv-2409.10298","DOIUrl":null,"url":null,"abstract":"Light pollution is a growing environmental issue that affects astronomy,\necosystems, human health. To address this, we introduce the Free Dark Sky Meter\n(FreeDSM), an affordable IoT-based photometer designed for continuous light\npollution monitoring. FreeDSM uses an ESP32 microcontroller with integrated\nsensors for light, temperature, and humidity, and operates on an open-source\nplatform. Data from multiple devices are centralized and processed using the\nGambons model, which leverages Gaia satellite data for accurate real-time\nassessments of natural light levels. This project is part of the\nGaia4Sustainability initiative.","PeriodicalId":501163,"journal":{"name":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","volume":"70 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Light pollution is a growing environmental issue that affects astronomy,
ecosystems, human health. To address this, we introduce the Free Dark Sky Meter
(FreeDSM), an affordable IoT-based photometer designed for continuous light
pollution monitoring. FreeDSM uses an ESP32 microcontroller with integrated
sensors for light, temperature, and humidity, and operates on an open-source
platform. Data from multiple devices are centralized and processed using the
Gambons model, which leverages Gaia satellite data for accurate real-time
assessments of natural light levels. This project is part of the
Gaia4Sustainability initiative.
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