Smart Multi-Sensor System for Remote Air Quality Monitoring Using Unmanned Aerial Vehicle and LoRaWAN

Camarillo-Escobedo, R.M.; Flores, Jorge L.; Marin-Montoya, Pedro; García–Torales, Guillermo; Camarillo-Escobedo, Juana M.

doi:10.3390/s22051706

Cited by 17 publications

(6 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this is the topic of extensive investigations by the academic community, and numerous prototype systems have been developed, and trials conducted. Citing one recent example, a Mexican group recently reported the development and testing of a drone-based multi-sensor system that can detect carbon monoxide, nitrogen dioxide, sulphur dioxide, ammonia and PMs, using sensors based on metal oxide/MEMS and electrochemical techniques (Camarillo-Escobedo et al , 2022). The sensing module also measures air temperature, relative humidity and barometric pressure, which can influence the performance of the gas sensors.…”

Section: Atmospheric Pollution Monitoringmentioning

confidence: 99%

The role of robots in environmental monitoring

Bogue

2023

View full text Add to dashboard Cite

Purpose The purpose of this paper is to illustrate the growing role of robots in environmental monitoring. Design/methodology/approach Following an introduction, this first considers aerial robots for monitoring atmospheric pollution. It then discusses the role of aerial, surface and underwater robots to monitor aquatic environments. Some examples are then provided of the robotic monitoring of the terrestrial environment, and finally, brief conclusions are drawn. Findings Robots are playing an important role in numerous environmental monitoring applications and have overcome many of the limitations of traditional methodologies. They operate in all media and frequently provide data with enhanced spatial and temporal coverage. In addition to detecting pollution and characterising environmental conditions, they can assist in locating illicit activities. Drones have benefited from the availability of small and lightweight imaging devices and sensors that can detect airborne pollutants and also characterise certain features of aquatic and terrestrial environments. As with other robotic applications, environmental drone imagery is benefiting from the use of AI techniques. Ranging from short-term local deployments to extended-duration oceanic missions, aquatic robots are increasingly being used to monitor and characterise freshwater and marine environments. Originality/value This provides a detailed insight into the growing number of ways that robots are being used to monitor the environment.

show abstract

Section: Atmospheric Pollution Monitoringmentioning

confidence: 99%

The role of robots in environmental monitoring

Bogue

2023

View full text Add to dashboard Cite

show abstract

“…A drone-borne instrumentation for multiple applications was also presented by Camarillo-Escobedo et al [150]. The DJI Mavic Air 2 UAV was equipped with meteorological and gas (NO 2 , NH 3 , CO, SO 2 ), and particulate sensors ( PM 10 and PM 2.5 ) and applied in metropolitan areas and agriculture and livestock zones in Mexico.…”

Section: Agriculture Pollution Monitoringmentioning

confidence: 99%

Drone-Assisted Monitoring of Atmospheric Pollution—A Comprehensive Review

et al. 2022

View full text Add to dashboard Cite

Ambient air quality is a complex issue that depends on multiple interacting factors related to emissions coming from energy production and use, transportation, industrial processes, agriculture, and waste and wastewater treatment sectors. It is also impacted by adverse meteorological conditions, pollutants concentrations, their transport and dispersion in the atmosphere, and topographic constraints. Therefore, air pollutants distribution is not uniform and their monitoring at proper temporal and spatial resolution is necessary. Drone-borne analytical instrumentation can fulfill these requirements. Thanks to the rapid development in the drone manufacturing sector as well as in the field of portable detectors construction, applications of unmanned aerial vehicles (UAVs) for atmospheric pollution monitoring are growing. The purpose of this work is to give an overview of this matter. Therefore, this paper contains basic information on UAVs (i.e., description of different types of drones with their advantages and disadvantages) and analytical instrumentation (i.e., low-cost gas sensors, multi-sensor systems, electronic noses, high-accuracy optical analyzers, optical particle counters, radiation detectors) used for the monitoring of airborne pollution. Different ways of payload integration are addressed and examples of commercially available solutions are given. Examples of applications of drone-borne analytical systems for pollution monitoring coming from natural (i.e., volcanoes, thawing permafrost, wildfires) and anthropological (i.e., urbanization and industrialization; extraction, transport and storage of fossil fuels; exploitation of radioactive materials; waste and wastewater treatment; agriculture) sources are also described. Finally, the current limitations and future perspectives are discussed. Although there is a great potential for drones applications in the field of atmospheric pollution monitoring, several limitations should be addressed in the coming years. Future research should focus on improving performances of available analytical instrumentation and solving problems related to insufficient payload capacity and limited flight time of commonly used drones. We predict that applications of drone-assisted measurements will grow in the following years, especially in the field of odor pollution monitoring.

show abstract

“…While numerous research articles have been published in networking literature in recent years, very few researchers have addressed the issues of security, energy efficiency, and low-cost design and implementation of LoRa communication systems. For instance, studies [ 1 , 5 , 27 ] focused on cloud-based communications without elaborating on security and energy efficiency aspects.…”

Section: Related Workmentioning

confidence: 99%

“…LoRa (long-range) communication protocols are the heart of Internet of Things (IoT) applications and connect cloud devices for the real-time monitoring and storage of data for efficiency and productivity purposes. The growing number of IoT sensors makes efficient transmission difficult because of the high-cost infrastructure [ 1 , 2 , 3 ]. Emerging LoRa technology can be more attractive for long-distance data transmission than the existing wide area network (WAN) communication systems.…”

Section: Introductionmentioning

confidence: 99%

A Secure Long-Range Transceiver for Monitoring and Storing IoT Data in the Cloud: Design and Performance Study

Sarkar

Kavitha

Ali

2022

Sensors

View full text Add to dashboard Cite

Due to the high demand for Internet of Things (IoT) and real-time data monitoring and control applications in recent years, the long-range (LoRa) communication protocols leverage technology to provide inter-cluster communications in an effective manner. A secure LoRa system is required to monitor and store IoT data in the cloud. This paper aims to report on the design, analysis, and performance evaluation of a low-cost LoRa transceiver interface unit (433 MHz band) for the real-time monitoring and storing of IoT sensor data in the cloud. We designed and analyzed a low-cost LoRa transceiver interface unit consisting of a LoRa communication module and Wi-Fi module in the laboratory. The system was built (prototype) using radially available hardware devices from the local electronics shops at about USD 150. The transmitter can securely exchange IoT sensor data to the receiver node at about 10 km using a LoRa Wi-Fi module. The receiver node accumulates the sensor data and stores it in the cloud for processing. The performance of the proposed LoRa transceiver was evaluated by field experiments in which two transmitter nodes were deployed on the rooftop of Auckland University of Technology’s Tower building on city campus (New Zealand), and the receiver node was deployed in Liston Park, which was located 10 km away from the University Tower building. The manual incident field tests examined the accuracy of the sensor data, and the system achieved a data accuracy of about 99%. The reaction time of the transmitter nodes was determined by the data accumulation of sensor nodes within 2–20 s. Results show that the system is robust and can be used to effectively link city and suburban park communities.

show abstract

Smart Multi-Sensor System for Remote Air Quality Monitoring Using Unmanned Aerial Vehicle and LoRaWAN

Cited by 17 publications

References 40 publications

The role of robots in environmental monitoring

The role of robots in environmental monitoring

Drone-Assisted Monitoring of Atmospheric Pollution—A Comprehensive Review

A Secure Long-Range Transceiver for Monitoring and Storing IoT Data in the Cloud: Design and Performance Study

Contact Info

Product

Resources

About