Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study

Rosero-Montalvo, Paúl D.; Batista, Vivian F. López; Peluffo-Ordóñez, Diego H.; Lorente-Leyva, Leandro L.; Valencia, Xiomara Patricia Blanco

doi:10.1007/978-3-030-29859-3_58

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Implemented solutions are aimed at the acquisition of real-time pollution levels, in order to identify their contamination degree [16] or predict the composition of fine particulate matter [17], with technological equipment based on machine learning [16] and on the use of multi-type sensors. Among them, mobile crowdsensing is getting a foothold, due to the spreading of smartphones; this, although it fosters community engagement, entails the need to solve problems as to the reduction of errors due to non-expert users, high consumption of end devices and difficult data management [18].…”

Section: Pollutionmentioning

confidence: 99%

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The IoT as a Key in the Sensitive Balance between Development Needs and Sustainable Conservation of Cultural Resources in Italian Heritage Cities

Lerario

2020

Sustainability

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In recent years the application of information and communication technologies (ICTs) to the built heritage has been increasingly finalized to heritage promotion in order to maximize visitor flows. New urgent challenges facing built heritage loom now over its very existence and our possibilities to preserve it for future generations. Italian heritage cities represent a delicate context, where concerns related to tourist flows and resource consumption are amplified due to the concentration of sites and points of interests in urban areas, also in very small ones, while tourism remains vital for economic growth. In such contexts, balancing economic development and sustainable heritage conservation demands well-calibrated tools and approaches. The article presents an overview of the ways the Internet of Things (IoT) is currently used to solve urban issues and support heritage projects. On this basis, and considering the characters and problems typical of heritage cities, as well as the features of the Italian scenario, the most appropriate application lines of IoT for the Italian heritage cities are identified. Then, their potentialities, the mutual impacts between them and the heritage field and the key role of the IoT in supporting the delicate balance between economic development and cultural resource conservation are finally discussed.

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Section: Pollutionmentioning

confidence: 99%

“…Acoustic pollution is also being investigated [19,20]. With reference to computing, cloud-based solutions share the scene with different configurations, based on edge-and fog-computing [16], yet the preferability of a segment in respect to others has not emerged yet.…”

Section: Pollutionmentioning

confidence: 99%

The IoT as a Key in the Sensitive Balance between Development Needs and Sustainable Conservation of Cultural Resources in Italian Heritage Cities

Lerario

2020

Sustainability

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Urban Air Pollution Monitoring by Neural Networks and Wireless Sensor Networks Based on LoRa

Alvear-Puertas

Rosero-Montalvo

Michilena-Calderón

et al. 2020

Advances in Intelligent Systems and Computing

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Air Pollution Monitoring Using WSN Nodes with Machine Learning Techniques: A Case Study

Rosero-Montalvo

Lopez-Batista

Arciniega-Rocha

et al. 2021

Logic Journal of the IGPL

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Air pollution is a current concern of people and government entities. Therefore, in urban scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue due mainly to the variability of polluting-related factors. For this reason, the present work shows the development of a wireless sensor network that, through machine learning techniques, can be classified into three different types of environments: high pollution levels, medium pollution and no noticeable contamination into the Ibarra City. To achieve this goal, signal smoothing stages, prototype selection, feature analysis and a comparison of classification algorithms are performed. As relevant results, there is a classification performance of 95% with a significant noisy data reduction.

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Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study

Cited by 3 publications

References 19 publications

The IoT as a Key in the Sensitive Balance between Development Needs and Sustainable Conservation of Cultural Resources in Italian Heritage Cities

The IoT as a Key in the Sensitive Balance between Development Needs and Sustainable Conservation of Cultural Resources in Italian Heritage Cities

Urban Air Pollution Monitoring by Neural Networks and Wireless Sensor Networks Based on LoRa

Air Pollution Monitoring Using WSN Nodes with Machine Learning Techniques: A Case Study

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