IoT based Air Pollution Monitoring device using Raspberry Pi and Cloud Computing

Singh, Riddhika; Gaur, Nidhi; Bathla, Shikha

doi:10.1109/iceca49313.2020.9297648

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…Most of the research projects related to environmental monitoring usually use the Raspberry PI [34] as the controller interface due to the simplicity of its programming and the low-cost characteristic. Therefore, as also done by Riddhika et al [35] and Zhang et al [36], in the present work the Raspberry Pi 4 Model B board was selected to implement such a controller.…”

Section: Monitoring Sensorsmentioning

confidence: 99%

An IoT-Aware Solution to Support Governments in Air Pollution Monitoring Based on the Combination of Real-Time Data and Citizen Feedback

Montanaro

Sergi

Basile

et al. 2022

Sensors

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One of the main concerns of the last century is regarding the air pollution and its effects caused on human health. Its impact is particularly evident in cities and urban areas where governments are trying to mitigate its effects. Although different solutions have been already proposed, citizens continue to report bad conditions in the areas in which they live. This paper proposes a solution to support governments in monitoring the city pollution through the combination of user feedbacks/reports and real-time data acquired through dedicated mobile IoT sensors dynamically re-located by government officials to verify the reported conditions of specific areas. The mobile devices leverage on dedicated sensors to monitor the air quality and capture main roads traffic conditions through machine learning techniques. The system exposes a mobile application and a website to support the collection of citizens’ reports and show gathered data to both institutions and end-users. A proof-of-concept of the proposed solution has been prototyped in a medium-sized university campus. Both the performance and functional validation have demonstrated the feasibility and the effectiveness of the system and allowed the definition of some lessons learned, as well as future works.

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Section: Monitoring Sensorsmentioning

confidence: 99%

An IoT-Aware Solution to Support Governments in Air Pollution Monitoring Based on the Combination of Real-Time Data and Citizen Feedback

Montanaro

Sergi

Basile

et al. 2022

Sensors

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“…The authors did not clearly explain the advantage of using two microcontrollers (Arduino UNO + Node MCU ESP8266) at the same time when the Node MCU may be enough for data acquisition, processing, and transmission. Similar approaches have been used on [25][26][27][28][29][30][31][32][33][34][35][36][37].…”

Section: The Used Communication Technologiesmentioning

confidence: 99%

“…The review shows that ≈ 59% of the included systems use more than one sensing element. Systems in [24,25,28,[30][31][32]38,54], are good examples for implementing hybrid/multisensor detection procedure.…”

Section: Hybrid/multi-sensor Systemsmentioning

confidence: 99%

“…As the presented review focus on the mobile systems, we found that the IoT-based systems can achieve the following advantages over implementations: The review shows that ≈ 59% of the included systems use more than one sensing element. Systems in [24,25,28,[30][31][32]38,54], are good examples for implementing hybrid/multi-sensor detection procedure.…”

Section: Communication Technologymentioning

confidence: 99%

“…The systems in [27,29,30,40,49,50] are good examples for IoT-based implementation which is one of the important improvements in the ongoing and next generation of hazardous gases detection and alarming systems design [71,72]. As the presented review focus on the mobile systems, we found that the IoT-based systems can achieve the following advantages over implementations: Several systems in this review use ZigBee communication modules to establish the wireless communication between the sensors node and the monitoring station, which is a good choice for indoor short-range data transferring in WSN.…”

Section: Communication Technologymentioning

confidence: 99%

See 2 more Smart Citations

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

Al-Okby

Neubert

Roddelkopf

et al. 2021

Sensors

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The leakage of hazardous gases and chemical vapors is considered one of the dangerous accidents that can occur in laboratories, workshops, warehouses, and industrial sites that use or store these substances. The early detection and alarming of hazardous gases and volatile chemicals are significant to keep the safety conditions for the people and life forms who are work in and live around these places. In this paper, we investigate the available mobile detection and alarming systems for toxic, hazardous gases and volatile chemicals, especially in the laboratory environment. We included papers from January 2010 to August 2021 which may have the newest used sensors technologies and system components. We identified (236) papers from Clarivate Web of Science (WoS), IEEE, ACM Library, Scopus, and PubMed. Paper selection has been done based on a fast screening of the title and abstract, then a full-text reading was applied to filter the selected papers that resulted in (42) eligible papers. The main goal of this work is to discuss the available mobile hazardous gas detection and alarming systems based on several technical details such as the used gas detection technology (simple element, integrated, smart, etc.), sensor manufacturing technology (catalytic bead, MEMS, MOX, etc.) the sensor specifications (warm-up time, lifetime, response time, precision, etc.), processor type (microprocessor, microcontroller, PLC, etc.), and type of the used communication technology (Bluetooth/BLE, Wi-Fi/RF, ZigBee/XBee, LoRa, etc.). In this review, attention will be focused on the improvement of the detection and alarming system of hazardous gases with the latest invention in sensors, processors, communication, and battery technologies.

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Air Monitoring System Using IOT

Anumala,

Addepalli,

Kodali

et al. 2022

Advances in Information Communication Technology and Computing

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IoT based Air Pollution Monitoring device using Raspberry Pi and Cloud Computing

Cited by 9 publications

References 8 publications

An IoT-Aware Solution to Support Governments in Air Pollution Monitoring Based on the Combination of Real-Time Data and Citizen Feedback

An IoT-Aware Solution to Support Governments in Air Pollution Monitoring Based on the Combination of Real-Time Data and Citizen Feedback

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

Air Monitoring System Using IOT

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