Case study of smart city lighting system with motion detector and remote control

Kuusik, Marko; Varjas, Toivo; Rosin, Argo

doi:10.1109/energycon.2016.7513906

Cited by 15 publications

(9 citation statements)

References 5 publications

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“…The Light Dependent Resistor (LDR) will act as sensor that can adjust the light intensity for different situation. If less than 80% of sunlight is detect, light will turn on [9]. Figure 3 shows the main idea of this project.…”

Section: Methodsmentioning

confidence: 99%

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Energy efficient smart street light for smart city using sensors and controller

Abdullah¹,

Yusoff²,

Zaini³

et al. 2019

Bulletin EEI

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Smart street light is an intelligent control of street lights to optimize the problem of power consumption of the street, late in night. Conventional street lights are being replaced by Light Emitting Diode (LED) street lighting system, which reduces the power consumption. The focus of this project is to design a system of street lights controller to provide a reduction in power consumption. The prototype was designed by using Light Dependent Resistor (LDR), Infrared sensor (IR), battery and LED. The brightness of the lamps is being controlled in this project to reduce the power consumption. The dimming of the lamps depends on the speed of object motion detected such as pedestrians, cyclists and cars. The higher speed of moving object, the greater the level of intensity. For this idea, the innovation of street lights is not quite the same as conventional street lights that are controlled by timer switch or light sensor which automatically turns light on during sunset and off during sunrise. According to the study, motion detection devices may help to save up to 40% of energy per month.

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Section: Methodsmentioning

confidence: 99%

“…In situation A, when the sensor detects a car with a speed of 30 km/h, the lightning level increases to 80% while in situation B, the lighting level decrease to 20% when sensor detects slow moving object. If there is no movement is detected, the luminaries work at a lighting level of 20% [9].…”

Section: Object Movementmentioning

confidence: 99%

Energy efficient smart street light for smart city using sensors and controller

Abdullah¹,

Yusoff²,

Zaini³

et al. 2019

Bulletin EEI

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show abstract

“…The need for such time intervals is that nowadays LED luminary power supplies can be programmed or controlled by PWM, 0-10VDC or DALI signals. Smart city lighting systems (Kuusik, et al, 2016) are equipped with motion detection sensors or remote-control systems (Avotins, et al, 2014), thus promoting additional energy savings, utilising sensortriggered luminary switching ON/OFF in minimum or maximum power (light output). Moreover, it could be mentioned that some manufacturers create even more time intervals as shown in Fig.…”

Section: Related Standardsmentioning

confidence: 99%

“…Post-installation measurements should be mandatory, especially if Charge-Coupled Devices (CCD) or cameras (Armas et al, 2007), like LMK Mobile Air, are available on the market. Such preliminary or approximate validation (Kuusik et al, 2016) can save much time and allow for the analysis of many parameters.…”

Section: Modelling In Dialux Type Softwarementioning

confidence: 99%

Smart City Street Lighting System Quality and Control Issues To Increase Energy Efficiency and Safety

Avotiņš

Adrian

Porins

et al. 2021

BJRBE

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According to standards, the lighting system is one of the key elements to provide safety on city roads, defined by quality parameters. LED technology and movement detection sensor interaction bring about new regulation techniques, creating an energy-efficient smart LED lighting system concept. This paper reveals extensive comparative data analysis of Dialux simulation results before the project implementation phase and in-situ quality parameter measurements for various street profiles and LED luminary power types. After the project implementation phase, more than 1000 measurement points are reached. Further, energy efficiency increase issues in smart lighting systems are described in terms of LED luminary dimming profile analysis and future dynamic control application modes. The first findings clearly show that in most cases light output in simulation results is lower than in real situations; therefore, LED luminary power can be decreased, allowing for higher energy savings in first luminary maintenance years, keeping the same defined ME class or safety level. Let us suppose that the traffic intensity data are obtained from smart system sensors. In that case, the ME class can be dynamically selected during different night times, thus increasing safety and providing extra energy savings using the same system elements, as well as leading to better ROI values.

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“…-Tahap 1, adalah kondisi awal system, panel surya akan mendapatkan radiasi matahari yang selanjutnya mengkonversi menjadi energi listrik untuk disimpan di Battere. Battere sebagai sumber utama dari PJU tersebut -Tahap 2, Sensor LDR bekerja menyalakan lampu jika terjadi penurunan intensitas cahaya matahari hingga 80% [7]. -Tahap 3, LDR akan mematikan lampu jika matahari kembali terang.…”

Section: Sensorunclassified

Pemanfaatan Panel Surya Sebagai Smart Street Lighting di Desa Banjarejo, Kec. Pakis, Kab. Malang

Hakim

Prasetyo

Wiharya

et al. 2021

ELPOSYS

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Permasalahan lampu PJU konvensional secara umum yang dihadapi oleh masyarakat pedesaan, yaitu beban yang harus ditanggung oleh masyarakat untuk membayar rekening, selain itu sering terjadi kelalaian untuk menyalakan dan mematikannya. Artikel ini membahas mengenai pemasngan smart PJU yang memanfaatkan pansel surya sebagai sumber utamanya. Secara teknis, penggunaan LDR dan PIR sangat membantu masyarakat untuk menyalakan dan mematikan lampu PJU, dan hasil pengukuran lampu smart PJU panel surya yang menggunakan lampu jenis LED 6 watt dipasang pada ketinggian 4meter dari permukaan jalan didapatkan nilai rata-rata kuat cahaya E sebesr 11.86 lux. Disisi ekonomisnya, masyarakat dapat menghemat energi selama 1 bulan (30 hari) sebesar 21.6kWh dengan total nilai rupiah sebesar Rp. 31,205.52.

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Case study of smart city lighting system with motion detector and remote control

Cited by 15 publications

References 5 publications

Energy efficient smart street light for smart city using sensors and controller

Energy efficient smart street light for smart city using sensors and controller

Smart City Street Lighting System Quality and Control Issues To Increase Energy Efficiency and Safety

Pemanfaatan Panel Surya Sebagai Smart Street Lighting di Desa Banjarejo, Kec. Pakis, Kab. Malang

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