From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring
Environmental monitoring plays a crucial role in various domains, including agriculture, healthcare, and manufacturing, where optimal environmental conditions are essential for productivity and safety. In this project, we present a smart environmental monitoring system that leverages IoT (Internet o...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00008.pdf |
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| _version_ | 1832098611728482304 |
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| author | Guerbaoui Mohammed El Faiz Samira Ed-Dahhak Abdelali Lachhab Abdeslam Benhala Bachir Bakziz Zakaria Ichou Ismail Selmani Abdelouahed |
| author_facet | Guerbaoui Mohammed El Faiz Samira Ed-Dahhak Abdelali Lachhab Abdeslam Benhala Bachir Bakziz Zakaria Ichou Ismail Selmani Abdelouahed |
| author_sort | Guerbaoui Mohammed |
| collection | DOAJ |
| description | Environmental monitoring plays a crucial role in various domains, including agriculture, healthcare, and manufacturing, where optimal environmental conditions are essential for productivity and safety. In this project, we present a smart environmental monitoring system that leverages IoT (Internet of Things) technology and data analytics to monitor temperature and humidity levels in real-time. The system consists of a network of sensor nodes deployed in the target environment, comprising ESP32 microcontrollers and DHT11 sensors for data collection. The sensor nodes transmit data using the MQTT (Message Queuing Telemetry Transport) protocol to a cloud-based MQTT Broker hosted on HiveMQ Cloud. Data processing and visualization are handled by Node-RED, which subscribes to MQTT topics, processes incoming data streams, and stores them in a time-series database, InfluxDB Cloud. The collected data is then visualized in real-time using Grafana dashboards, which are embedded within a Flask web application, providing stakeholders with seamless access to actionable insights into environmental conditions. The smart environmental monitoring system offers numerous benefits, including improved decisionmaking, proactive maintenance, and enhanced productivity. Future enhancements could include the integration of additional sensors and the application of machine learning algorithms for predictive analytics. Overall, the project demonstrates the potential of IoT and data analytics in addressing real-world challenges related to environmental monitoring. |
| format | Article |
| id | doaj-art-6ecfd26efd4e4cdabda813685bc0c809 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-6ecfd26efd4e4cdabda813685bc0c8092025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010000810.1051/e3sconf/202560100008e3sconf_icegc2024_00008From Data to Decisions: A Smart IoT and Cloud Approach to Environmental MonitoringGuerbaoui Mohammed0El Faiz Samira1Ed-Dahhak Abdelali2Lachhab Abdeslam3Benhala Bachir4Bakziz Zakaria5Ichou Ismail6Selmani Abdelouahed7MMCS Team, EST Meknes, Moulay Ismail UniversityMMCS Team, EST Meknes, Moulay Ismail UniversityMMCS Team, EST Meknes, Moulay Ismail UniversityMMCS Team, EST Meknes, Moulay Ismail UniversityFaculty of science Dhar EL Mahraz, Sidi Mohamed Ben Abdellah UniversityFaculty of Sciences Meknes, Moulay Ismail UniversityFaculty of Sciences Meknes, Moulay Ismail UniversityS.A.R.S Team , ENSA of Safi, UCA UniversityEnvironmental monitoring plays a crucial role in various domains, including agriculture, healthcare, and manufacturing, where optimal environmental conditions are essential for productivity and safety. In this project, we present a smart environmental monitoring system that leverages IoT (Internet of Things) technology and data analytics to monitor temperature and humidity levels in real-time. The system consists of a network of sensor nodes deployed in the target environment, comprising ESP32 microcontrollers and DHT11 sensors for data collection. The sensor nodes transmit data using the MQTT (Message Queuing Telemetry Transport) protocol to a cloud-based MQTT Broker hosted on HiveMQ Cloud. Data processing and visualization are handled by Node-RED, which subscribes to MQTT topics, processes incoming data streams, and stores them in a time-series database, InfluxDB Cloud. The collected data is then visualized in real-time using Grafana dashboards, which are embedded within a Flask web application, providing stakeholders with seamless access to actionable insights into environmental conditions. The smart environmental monitoring system offers numerous benefits, including improved decisionmaking, proactive maintenance, and enhanced productivity. Future enhancements could include the integration of additional sensors and the application of machine learning algorithms for predictive analytics. Overall, the project demonstrates the potential of IoT and data analytics in addressing real-world challenges related to environmental monitoring.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00008.pdf |
| spellingShingle | Guerbaoui Mohammed El Faiz Samira Ed-Dahhak Abdelali Lachhab Abdeslam Benhala Bachir Bakziz Zakaria Ichou Ismail Selmani Abdelouahed From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring E3S Web of Conferences |
| title | From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring |
| title_full | From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring |
| title_fullStr | From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring |
| title_full_unstemmed | From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring |
| title_short | From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring |
| title_sort | from data to decisions a smart iot and cloud approach to environmental monitoring |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00008.pdf |
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