scholarly journals Portable RF-Sensor System for the Monitoring of Air Pollution and Water Contamination

2012 ◽  
Vol 2012 ◽  
pp. 1-5
Author(s):  
Joonhee Kang ◽  
Jin Young Kim
Keyword(s):  
Air Pollution ◽  
Water Contamination ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Sensor System ◽  
Limited Area ◽  
Air Pollution Monitoring ◽  
The Public ◽  
Quality Of Living ◽  
Air Pollution Forecast

Monitoring air pollution including the contents of VOC, O3, NO2, and dusts has attracted a lot of interest in addition to the monitoring of water contamination because it affects directly to the quality of living conditions. Most of the current air pollution monitoring stations use the expensive and bulky instruments and are only installed in the very limited area. To bring the information of the air and water quality to the public in real time, it is important to construct portable monitoring systems and distribute them close to our everyday living places. In this work, we have constructed a low-cost portable RF sensor system by using 400 MHz transceiver to achieve this goal. Accuracy of the measurement was comparable to the ones used in the expensive and bulky commercial air pollution forecast systems.

scholarly journals Key Concerns and Drivers of Low-Cost Air Quality Sensor Use

2022 ◽  
Vol 14 (1) ◽  
pp. 584
Author(s):  
Priyanka Nadia deSouza
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Real Time ◽  
Data Visualization ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Quality Information ◽  
User Reviews ◽  
Air Pollution Monitoring ◽  
The Public

Low-cost sensors are revolutionizing air pollution monitoring by providing real-time, highly localized air quality information. The relatively low-cost nature of these devices has made them accessible to the broader public. Although there have been several fitness-of-purpose appraisals of the various sensors on the market, little is known about what drives sensor usage and how the public interpret the data from their sensors. This article attempts to answer these questions by analyzing the key themes discussed in the user reviews of low-cost sensors on Amazon. The themes and use cases identified have the potential to spur interventions to support communities of sensor users and inform the development of actionable data-visualization strategies with the measurements from such instruments, as well as drive appropriate ‘fitness-of-purpose’ appraisals of such devices.

scholarly journals H2020 project CAPTOR dataset: raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network.

Data in Brief ◽  
2021 ◽  
pp. 107127
Author(s):  
Jose M. Barcelo-Ordinas ◽  
Pau Ferrer-Cid ◽  
Jorge Garcia-Vidal ◽  
Mar Viana ◽  
Ana Ripoll
Keyword(s):  
Air Pollution ◽  
Low Cost ◽  
Monitoring Network ◽  
Pollution Monitoring ◽  
Raw Data ◽  
Air Pollution Monitoring

Modular sensor system (MSS) for urban air pollution monitoring

2016 ◽  
Author(s):  
Wei-Ying Yi ◽  
Kwong-Sak Leung ◽  
Yee Leung ◽  
Mei-Ling Meng ◽  
Terrence Mak
Keyword(s):  
Air Pollution ◽  
Urban Air Pollution ◽  
Pollution Monitoring ◽  
Sensor System ◽  
Urban Air ◽  
Air Pollution Monitoring

scholarly journals Wind direction sensor based on thermal anemometer for olfactory mobile robot

2019 ◽  
Vol 13 (2) ◽  
pp. 475 ◽  
Author(s):  
Helmy Widyantara ◽  
Muhammad Rivai ◽  
Djoko Purwanto
Keyword(s):  
Mobile Robot ◽  
Success Rate ◽  
Wind Direction ◽  
Tracking System ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Sensor System ◽  
Positive Temperature ◽  
Air Pollution Monitoring ◽  
Thermal Anemometer

A wind direction sensor has been implemented for many applications, such as navigation, weather, and air pollution monitoring. In an odor tracking system, the wind plays the important role to carry gas from its source. Therefore, the precise, low-cost, and effective wind direction sensor is required to trace the gas source. In this study, a new design of wind direction sensor has been developed using thermal anemometer principle with the main component of the positive temperature coefficient thermistor. Three anemometers each of which has different directions are used as inputs for the neural network to determine the direction of the wind automatically.The experimental results show that the wind sensor system is able to detect twelve wind directions. A mobile robot equipped with this sensor system can navigate to a wind source in the open air with a success rate of 80%.This system is expected to increase the success rate of the mobile robot in searching for dangerous leaking gas in the open air.

scholarly journals An Orthogonal Air Pollution Monitoring Method (OAPM) Based on LoRaWAN

2020 ◽  
Vol 9 (3) ◽  
pp. 42
Author(s):  
Rahim Haiahem ◽  
Pascale Minet ◽  
Selma Boumerdassi ◽  
Leila Azouz Saidane
Keyword(s):  
Air Pollution ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Area Network ◽  
Wide Area Network ◽  
Huge Number ◽  
Monitoring Method ◽  
Air Pollution Monitoring ◽  
Battery Lifetime ◽  
Monitoring Application

High accuracy air pollution monitoring in a smart city requires the deployment of a huge number of sensors in this city. One of the most appropriate wireless technologies expected to support high density deployment is LoRaWAN which belongs to the Low Power Wide Area Network (LPWAN) family and offers long communication range, multi-year battery lifetime and low cost end devices. It has been designed for End Devices (EDs) and applications that need to send small amounts of data a few times per hour. However, a high number of end devices breaks the orthogonality of LoRaWAN transmissions, which was one of the main advantages of LoRaWAN. Hence, network performances are strongly impacted. To solve this problem, we propose a solution called OAPM (Orthogonal Air Pollution Monitoring) which ensures the orthogonality of LoRaWAN transmissions and provides accurate air pollution monitoring. In this paper, we show how to organize EDs into clusters and sub-clusters, assign transmission times to EDs, configurate and synchronize them, taking into account the specificities of LoRaWAN and the features of the air pollution monitoring application. Simulation results corroborate the very good behavior of OAPM.

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