An IoT Framework for the Pervasive Monitoring of Chemical Emissions in Industrial Plants

Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Parri, Lorenzo; Parrino, Stefano; Pozzebon, Alessandro; Vignoli, Valerio

doi:10.1109/metroi4.2018.8428325

Cited by 26 publications

(11 citation statements)

References 8 publications

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“…The concept of harsh environment encloses plenty of case studies and industrial plants are one of these. Such a framework was treated in Reference [9] where a LoRa sensor node for fault detection of chemical emissions was implemented. For the sake of simplicity, sensor node wireless coverage was not actually tested within a plant.…”

Section: Related Workmentioning

confidence: 99%

“…LPWAN-based IoT architectures can be found in the most disparate application fields: while the Smart City scenario [1,2,3] is probably the most studied, several other LPWAN-based systems can be found in the literature. In particular, LPWAN networks have been used in healthcare scenarios for remote patient monitoring [4] as well as in smart energy management [5], they have been deployed on monumental historical buildings [6] and in industrial plants [7,8,9], analyzing their possible placement even in critical use-cases [10,11,12] or at remote sites [13,14,15].…”

Section: Introductionmentioning

confidence: 99%

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Low Power Wide Area Networks (LPWAN) at Sea: Performance Analysis of Offshore Data Transmission by Means of LoRaWAN Connectivity for Marine Monitoring Applications

Parri

Parrino

Peruzzi

et al. 2019

Sensors

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In this paper the authors discuss the realization of a Long Range Wide Area Network (LoRaWAN) network infrastructure to be employed for monitoring activities within the marine environment. In particular, transmission ranges as well as the assessment of parameters like Signal to Noise Ratio (SNR) and Received Signal Strength Indicator (RSSI) are analyzed in the specific context of an aquaculture industrial plant, setting up a transmission channel from an offshore monitoring structure provided with a LoRaWAN transmitter, to an ashore receiving device composed of two LoRaWAN Gateways. A theoretical analysis about the feasibility of the transmission is provided. The performances of the system are then measured with different network parameters (in particular the Spreading Factor—SF) as well as with two different heights for the transmitting antenna. Test results prove that efficient data transmission can be achieved at a distance of 8.33 km even using worst case network settings: this suggests the effectiveness of the system even in harsher environmental conditions, thus entailing a lower quality of the transmission channel, or for larger transmission ranges.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low Power Wide Area Networks (LPWAN) at Sea: Performance Analysis of Offshore Data Transmission by Means of LoRaWAN Connectivity for Marine Monitoring Applications

Parri

Parrino

Peruzzi

et al. 2019

Sensors

Self Cite

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“…Depending on the type of application in the city, nodes may require a set of sensors. For instance, to measure nitrate concentration levels, the node needs to manage an array of gas sensors including CO 2 , NOx, and O 2 sensors [70]. In some cases, nodes can have different roles.…”

Section: Fifth Bytementioning

confidence: 99%

A Comprehensive Study of the Use of LoRa in the Development of Smart Cities

Andrade

Yoo

2019

Applied Sciences

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The New Urban Agenda (Agenda 2030) adopted at the United Nations Conference related to Sustainable Urban Development (Habitat III) in the year 2016 has the goal of prompting cities to achieve the identified Sustainable Development Goals by the year 2030. In this context, cities can experiment strategies of circular economy for the optimization of resources, waste reduction, reuse, and recycling. The data generated by the components of an Internet of Things (IoT) ecosystem can contribute in two relevant ways to a smart city model: (1) by the generation of a circular economy and (2) by the creation of intelligence to improve the decision-making processes by citizens or city managers. In this context, it is in our interest to understand the most relevant axes of the research related to IoT, particularly those based on the LoRa technology. LoRa has attracted the interest of researchers because it is an open standard and contributes to the development of sustainable smart cities, since they are linked to the concepts of a circular economy. Additionally, the intention of this work is to identify the technological or practical barriers that hamper the development of solutions, find possible future trends that could exist in the context of smart cities and IoT, and understand how they could be exploited by the industry and academy.

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“…The design of the sensor node circuit is similar to the one presented in [38] but with significant improvements in terms of power consumption reduction. To this purpose, nano-power ST TSU10x operational amplifiers have been used.…”

Section: Sensor Nodementioning

confidence: 99%

A low power IoT architecture for the monitoring of chemical emissions

et al. 2019

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<p class="Abstract"><span lang="EN-US">In this work, a low-power IoT architecture for the monitoring of chemical emissions is presented. This system is expected to be employed to set up monitoring infrastructures in industrial plants or public buildings. The proposed system has been designed to embed different sensors. In particular, each sensor node manages a humidity sensor and an array of temperature and electrochemical gas sensors for the detection of carbon monoxide (CO), nitrogen oxides (NOx), and oxygen (O2). Moreover, it exploits some dedicated processing algorithms to mitigate the dependence of the sensor response on temperature. The sensor node has been designed to minimise power consumption as much as possible, and it is provided with LoRa LPWAN connectivity, which allows for wide-area data transmission. Tests carried out in urban areas proved that a 3 km communication range is achievable in noisy environments. A network architecture and a data acquisition and management structure are then described. A multilayer modular topology that combines the features of LoRa technology with shorter and larger range telecommunication channels in order to develop an IoT framework that can be customised according to the physical and technical features of the deployment scenario</span></p>

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An IoT Framework for the Pervasive Monitoring of Chemical Emissions in Industrial Plants

Cited by 26 publications

References 8 publications

Low Power Wide Area Networks (LPWAN) at Sea: Performance Analysis of Offshore Data Transmission by Means of LoRaWAN Connectivity for Marine Monitoring Applications

Low Power Wide Area Networks (LPWAN) at Sea: Performance Analysis of Offshore Data Transmission by Means of LoRaWAN Connectivity for Marine Monitoring Applications

A Comprehensive Study of the Use of LoRa in the Development of Smart Cities

A low power IoT architecture for the monitoring of chemical emissions

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