Intelligent power management device for street lighting control incorporating long range static and non-static hybrid infrared detection system

Adrian, Leslie R.; Ribickis, Leonīds

doi:10.1109/epe.2014.6911008

Cited by 12 publications

(6 citation statements)

References 3 publications

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“…The modified PIR sensor can enable detection of directional movement (see Adrian & Ribickis, 2014;Repole & Adrian, 2019).…”

Section: Movement Directionmentioning

confidence: 99%

“…The authors propose using the developed radar and PIR sensors that are able to give necessary dynamic data outputs of traffic intensity, speed and direction. Therefore, this paper also explores MAS inclusion into smart LED street lighting technologies (Avotins et al, 2014) and includes control mechanisms for the use of improved radar sensors (see Section 9), long-range hybrid pyroelectric sensors (Adrian & Ribickis, 2014) and in future also context-based sensors (Avotins & Bicans, 2015) within lighting systems. Adoption of energy-efficient and smart LED street lighting is increasing; thus, reduction of energy consumption has reached its main focus, but also traffic safety should be addressed properly.…”

Section: Introductionmentioning

confidence: 99%

“…Cloud computing architecture also permits and extends the diversity of control services for Smart LED street lighting technologies. If it is successful, it will significantly increase public safety (Bertagna, 2013;Adrian et al, 2014) and may substantially reduce the deployment costs across the whole system. As MAS is designed to operate on sensorbased arrays specifically, the opportunity exists to explore many other initialization avenues, including fault detection in automotive power printed circuit board (PCB) (Repole et al, 2017) or as a CMAS for sensor networking city transport systems.…”

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confidence: 99%

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Development of New Radar and Pyroelectric Sensors for Road Safety Increase in Cloud-Based Multi-Agent Control Application

Adrian

Avotiņš

Repole

et al. 2021

BJRBE

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The paper concentrates on the design, architecture, and monitoring of smart LED street lighting control, with focus on traffic safety and safe road infrastructure. The use of a CMAS (Cloud-Based Multi-Agent System) as a possible framework is investigated. The work is based on previous developments by the authors in the production and design of close and long-range hybrid Pyroelectric Infrared (PIR) motion detection sensors. It also introduces the advances in radar-type sensors used in smart SLC (street lighting control) application systems. The proposed sensor solutions can detect the road user (vehicle or pedestrian) and determine its movement direction and approximate speed that can be used for dynamic lighting control algorithms, traffic intensity prediction, and increased safety for both driver and pedestrian traffic. Furthermore, the street lighting system infrastructure can monitor city environmental parameters, such as temperature, humidity, CO2 levels, thus increasing levels of safety and security for smart cities. Utilising other hybrid systems within intelligent street lighting applications represents a new specialisation area in both energy-saving, safety awareness, and intelligent management.

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“…The modified PIR sensor can enable detection of directional movement (see Adrian & Ribickis, 2014;Repole & Adrian, 2019).…”

Section: Movement Directionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Development of New Radar and Pyroelectric Sensors for Road Safety Increase in Cloud-Based Multi-Agent Control Application

Adrian

Avotiņš

Repole

et al. 2021

BJRBE

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“…Extensive research is being done in distributed architectures for specific domains. For example, recent proposals can be found for robotics [18], industrial [19], smart driving [20], e-health [21] or smart cities [22][23][24] among many others.…”

Section: Distributed Systemsmentioning

confidence: 99%

“…This example corresponds to a simplified version of a smart lighting application for smart cities. In this application, the street urban lamps are switch on or off depending on the presence of humans or vehicles in the street [23]. The application decomposition and the specific tasks described by the example have been taken from the state-of-the-art research works on human detection from images and videos [52].…”

Section: Distributed Computational Modelmentioning

confidence: 99%

Distributed computational model for shared processing on Cyber-Physical System environments

Mora

Colom

Gil

et al. 2017

Computer Communications

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights  A computation model to distribute the application workload over the CPS is proposed.  The scheduling method dynamically shares the tasks among the computing nodes of the CPS.  This approach facilitates the networking and integration of heterogeneous computer devices.

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Intelligent Street Lights

Jagadeesh¹,

Akilesh²,

Karthik³

et al. 2015

Procedia Technology

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Intelligent power management device for street lighting control incorporating long range static and non-static hybrid infrared detection system

Cited by 12 publications

References 3 publications

Development of New Radar and Pyroelectric Sensors for Road Safety Increase in Cloud-Based Multi-Agent Control Application

Development of New Radar and Pyroelectric Sensors for Road Safety Increase in Cloud-Based Multi-Agent Control Application

Distributed computational model for shared processing on Cyber-Physical System environments

Intelligent Street Lights

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