Smart and dynamic route lighting control based on movement tracking

Juntunen, Eveliina; Sarjanoja, Esa Matti; Eskeli, Juho; Pihlajaniemi, Henrika; Österlund, Toni

doi:10.1016/j.buildenv.2018.06.048

Cited by 41 publications

(21 citation statements)

References 28 publications

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“…The results show that the people flow density influences the value of the energy savings. Juntunen et al [40] presented a similar lighting control strategy designed for street lighting infrastructure and achieved 60-77% savings compared to a 100% dimming level at the dark time of the day. However, their savings were based on the simulation results obtained using the presence data and sunrise and sunset times from the weather data bank.…”

Section: Discussionmentioning

confidence: 99%

“…In a centralized control system, sensor data are transmitted to a central controller, where the dimming level for the corresponding luminaire is determined by a control law and transmitted to the luminaire [22]. In contrast, in a distributed control system, each sensing module has a controller and communicates with neighbors to calculate the dimming levels [17,19,40]. In wireless networks, compared with the centralized-control networks, a distributed control system requires larger bandwidth and has a higher cost due to larger amounts of processing and storage in a sensing module [41].…”

Section: Lighting Controlmentioning

confidence: 99%

See 1 more Smart Citation

Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks

Cheng

Chen²,

Yuan

et al. 2020

Applied Sciences

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Buildings have been an important energy consuming sector, and inefficient controlling of lights can result in wastage of energy in buildings. The aim of the study is to reduce energy consumption by implementing a smart lighting system that integrates sensor technologies, a distributed wireless sensor network (WSN) using ZigBee protocol, and illumination control rules. A sensing module consists of occupancy sensors, including passive infrared (PIR) sensors and microwave Doppler sensors, an ambient light sensor, and lighting control rules. The dimming level of each luminaire is controlled by rules taking into consideration occupancy and daylight harvesting. The performance of the proposed system is evaluated in two scenarios, a metro station and an office room, and the average energy savings are about 45% and 36%, respectively. The effects of different factors on energy savings are analyzed, including people flow density, weather, desired illuminance, and the number of people in a room. Experimental results demonstrate the robustness of the proposed system and its ability to save energy consumption. The study can benefit the development of intelligent and sustainable buildings.

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Section: Discussionmentioning

confidence: 99%

Section: Lighting Controlmentioning

confidence: 99%

Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks

Cheng

Chen²,

Yuan

et al. 2020

Applied Sciences

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“…Owing to the rapid convergence of new technologies such as LED lighting, sensors, and small-size controllers, smart lighting control has become feasible. The brightness of road lighting systems can control on/off functions and the light intensity depending on use [19][20][21][22][23][24][25][26][27][28][29] to decrease unnecessary utilization, and hence save more energy. Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Ref. [21] adopted passive infrared (PIR) sensors to track vehicle movement to optimize the illuminance levels of a road lighting system. Refs.…”

Section: Introductionmentioning

confidence: 99%

Economic Analysis of Improving the Energy Efficiency of Nanogrid Solar Road Lighting Using Adaptive Lighting Control

2020

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This paper presents a road lighting control system that uses a light-dependent resistor sensor cooperating with an Internet protocol camera to the lower energy consumption during unnecessary use of a lighting system. A microcontroller was used as a control circuit to automatically control the brightness of a light-emitting diode (LED) luminaire, increasing or decreasing the brightness depending on traffic density. The proposed lighting control system was integrated into a nanogrid solar road lighting system and analysed through an experimental setup. Furthermore, nanogrid solar road lighting systems in LED solar stand-alone and grid-connected operations, with and without the proposed lighting control, were investigated and compared with a conventional existing road lighting system in terms of economic feasibility, based on the following indicators: discounted payback period, net present value, internal rate of return, and profitability index. The results indicate that the use of the Internet protocol camera with the LED sensor can automatically control the on/off state or illuminance levels of the LED luminaire, thereby lowering the energy consumption of the road lighting system when lighting is not required. The economic assessment results indicate that the nanogrid solar road lighting system in LED solar stand-alone and gridconnected road lighting modes exhibit feasibility for investment; the latter provides more economic feasibility. However, when the proposed lighting control is included, the nanogrid solar road lighting system in both modes have lower initial investment costs and save more energy. Consequently, the economic results are improved. The use of the proposed lighting control is thus economically feasible for road lighting systems.

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“…Jiao (2015) designed an intelligent light control system based on microcontroller, light detection and pyroelectric infrared sensor which could adjust illumination intelligently according to indoor illumination intensity and verified the feasibility of this method. Juntunen et al (2018) tracked the location of users through passive infrared sensors, realized intelligent lighting control on outdoor access routes and found that the system could operate outdoors but would be affected by strong wind in cold conditions. Yin et al (2014) acquired illumination information through digital illumination sensor and sent it to a controller to realize the intelligent control of lighting and found that it had good feasibility in the application of indoor lighting.…”

Section: Introductionmentioning

confidence: 99%

Home intelligent lighting control system based on wireless sensor

Lian-yu

2020

JEDT

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Purpose Intelligent lighting control system can control lights to go off when people leave, which has been widely concerned by researchers. Design/methodology/approach In this study, an intelligent lighting control system based on wireless sensor network was designed. First, the hardware and software designs of the system were described briefly. Then, the lighting control algorithm was analyzed emphatically. Considering the illumination and uniformity of light, an intelligent lighting control algorithm based on gradient descent was designed. Findings In the system test, it was found that the system had a good through-wall communication function, and the communication distance could fully meet the system requirements and run normally. In the test of the lighting control algorithm, it was found that the user’s satisfaction on uniformity in different scenarios was close to 1, and the satisfaction on illumination could also meet the user’s needs, which verified the reliability of the lighting control algorithm. Originality/value This study provides some theoretical supports for the better application of wireless sensor network in intelligent light control system, which is conducive to the further development of light control system.

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Smart and dynamic route lighting control based on movement tracking

Cited by 41 publications

References 28 publications

Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks

Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks

Economic Analysis of Improving the Energy Efficiency of Nanogrid Solar Road Lighting Using Adaptive Lighting Control

Home intelligent lighting control system based on wireless sensor

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