An architecture for the internet of things and the use of big data techniques in the analysis of carbon monoxide

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dc.contributor.authorBorges M.A.
dc.contributor.authorMelo G.F.
dc.contributor.authorDe Massaki C.
dc.contributor.authorIgarashi O.
dc.contributor.authorLopes P.B.
dc.contributor.authorSilva L.A.
dc.date.accessioned2024-03-13T00:48:05Z
dc.date.available2024-03-13T00:48:05Z
dc.date.issued2017
dc.description.abstract© 2017 IEEEThe use of sensors for the monitoring of a given environment allied with the Internet as a means of communication is popularly known as Internet of Things (IoT). The amount of information generated in this environment has led to an unprecedented increase in data collection. One of the major challenges for its development lies in the storage and the processing of this huge volume of data into acceptable measurements and analysis parameters. This research takes up this challenge by storing and compiling data from different sensors, and by carrying out an exploratory analysis of the information gathered. In this research, sensors that collect data from a specific Sao Paulo's Metropolitan Area (SMA) have been analysed. These sensors are capable of measuring carbon monoxide (CO) levels. This research aims to analyse the main architectures for both batch and stream sensor processing and to use one of them for the construction of a Big Data environment. Big Data tools were used for IoT storage, processing and visualization data. During the experiments, carbon monoxide sensors (MQ7), were analysed. They were connected through a microcontroller unit that supports the Transmission Control Protocol/Internet Protocol (TCP/IP). This project highlights the necessary tools to execute and analyse the data in a dynamic manner. The data collected by the sensors show that the avarage levels of carbon monoxide are well above the international standards set by the World Health Organization (WHO).
dc.description.firstpage184
dc.description.lastpage191
dc.description.volume2017-January
dc.identifier.doi10.1109/IRI.2017.76
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35693
dc.relation.ispartofProceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017
dc.rightsAcesso Restrito
dc.subject.otherlanguageHadoop Architecture
dc.subject.otherlanguageInternet of Things
dc.subject.otherlanguageSensor Data Mining
dc.subject.otherlanguageSmart Cities
dc.titleAn architecture for the internet of things and the use of big data techniques in the analysis of carbon monoxide
dc.typeArtigo de evento
local.scopus.citations4
local.scopus.eid2-s2.0-85044235282
local.scopus.subjectAmount of information
local.scopus.subjectCarbon monoxide sensor
local.scopus.subjectExploratory analysis
local.scopus.subjectInternational standards
local.scopus.subjectInternet of Things (IOT)
local.scopus.subjectSensor-data mining
local.scopus.subjectTransmission control protocol/internet protocols
local.scopus.subjectWorld Health Organization
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044235282&origin=inward
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