Big Sensor Data Applications in Urban Environments

Using a distributed air sensor network to investigate the spatiotemporal patterns of PM2.5 concentrations.

Nowadays, the air quality is considered a key point, and its monitoring is not only suggested but it is even required in many countries. Since traditional standard monitors for air quality are very expensive, the use of a low-cost distributed network of sensors represents a valid complementary approach. This paper discusses the benefits of a distributed approach and analyzes the main elements that should be taken into account during the design of a distributed system for the air quality monitoring. This paper aims at representing a valuable aid for researchers and practitioners interested in the topic.

On the design of distributed air quality monitoring systems

Integrating IoT and Cloud Computing for Wireless Sensor Network Applications

A remote monitoring system for carbon monoxide (CO) sensors is presented in a hospital using Long-Range transceivers. A highly toxic gas that can´t be detected by humans and damages health is CO. There are hospital areas where air purity is greater than 90% and monitored continuously. The objective of this work was to design a wireless system that reports to a server ,located on the Internet, the concentration levels of CO around ten sensors distributed around the areas of a hospital. A low-power wide area network (LPWAN) was deployed using ten Long-Range technology transceivers and a gateway. Each node of the LPWAN consists of a CO sensor, a global positioning system module, a quartz liquid crystal display, an alert generator, a microcontroller and a Long-Range transceiver. The nodes transmit the CO levels to the gateway and the gateway sends them to the server. When a CO level higher than a threshold value is detected, an alert is triggered. The system detects CO concentrations of 10 to 1,000 ppm. The farthest network node is located 1,200 meters from the gateway and the range achieved was 11.8 Kilometers.

/pdf/monitoreo-de-concentracion-de-monoxido-de-carbono-usando-501m30iras.pdf

Monitoreo de concentración de monóxido de carbono usando tecnología Long-Range

A wireless sensor system was used to monitor carbon monoxide and smoke air pollutants. A MATLB curve fitting toolbox was used to read both CO and smoke readings with a single sensor (MQ2). The system have an HTML-based interface developed in MATLAB software for displaying the pollutants level in parts per million gathered by the commercially available sensor. The paper presents a system which provides a low cost data acquisition of CO and smoke pollutants that can be read online for air pollution monitoring for environmental awareness. In addition, the MQ2 sensor can read other pollutants which could be added to the system for future work.

Low cost internet based wireless sensor network for air pollution monitoring using Zigbee module

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Low cost internet based wireless sensor network for air pollution monitoring using Zigbee module