Sensory platform architecture based on cyberphysical systems for climate behaviors detecting in urban forest environments

Almeida, José Felipe; Sampaio, Marcos Henrique Kumagai; Brito-de-Souza, Jorge Roberto

doi:10.1109/icsens.2011.6126899

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…The architecture is based on a data-flow model ( Figure 3) and has the three expert system functions:  Function 1: the embedded computer receives the data from sensor SHT75 and performs the treatment of this information (Function 1);  Function 2: computes the Angstron Index (B) from the collected data by rules of the type IF -THEN with basis on table 1 (Function 2);  Function 3: sends messages to the supervisory system (Function 3), whose goal is to inform if there forest fire risk. To detect behaviors related to fire risk [4] is using Angstron index (B):…”

Section: Brassen Environmental Technology Architecturementioning

confidence: 99%

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Environmental Technology Platform Architecture for In Situ Monitoring Forest Areas of Amazonian region – A case study in Maiandeua Island, Brazil

Carvalho¹,

Sampaio²,

Almeida³

et al. 2016

IOSRJEN

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-This research presents the architecture of a low-cost environmental technology platform for in situ monitoring fire risk characteristics of the Maiandeua Island at Amazonian, during the year 2013. This isle is a case study of the anthropized forest area, whose goal is to characterize the climatic behavior with environmental variables of temperature and humidity, all to identify environmental impacts on human health and biodiversity of the forest. The BRASSEN (Brasil System Sensor) platform contains an embedded expert system to detect the risk or without risk (safety) of fire at inhabited forest environments. The results of empirical experiments with this platform are provided. The period of highest understorey fire risk occurs between the months of June and November. Therefore, this work considers a novel study in IN-SITU (local) technologies in inhabited forest areas.

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Section: Brassen Environmental Technology Architecturementioning

confidence: 99%

“…The understorey fires are not easily detected by satellite with remote sensing [3]. Soon the use of IN-SITU monitoring based on environmental technology platform becomes a much-needed resource for the detection of forest fire risk [4].…”

Section: Introductionmentioning

confidence: 99%

Environmental Technology Platform Architecture for In Situ Monitoring Forest Areas of Amazonian region – A case study in Maiandeua Island, Brazil

Carvalho¹,

Sampaio²,

Almeida³

et al. 2016

IOSRJEN

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SELVABOT-1: Embedded Control System Using Bluetooth Technology

Sampaio

Modesto

Sobrinho

et al. 2014

IEEE Latin Am. Trans.

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This paper describes the development of the communication system using Bluetooth for Remotely Operated Vehicle (ROV) -SELVABOT version-1. This ROV could be controlled by any Bluetooth cell phone. Therefore, this type of technology has the advantage of high bitrates for data transfer and can to be used in hazardous areas. So, this text presents the design and project of a versatile robot intended for assistance and monitoring applications.

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Sensory platform architecture based on cyberphysical systems for climate behaviors detecting in urban forest environments

Cited by 2 publications

References 2 publications

Environmental Technology Platform Architecture for In Situ Monitoring Forest Areas of Amazonian region – A case study in Maiandeua Island, Brazil

Environmental Technology Platform Architecture for In Situ Monitoring Forest Areas of Amazonian region – A case study in Maiandeua Island, Brazil

SELVABOT-1: Embedded Control System Using Bluetooth Technology

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