Smart Lighting System Research Articles

Smart Street Light System Using Raspberry pi

Lighting consumes a huge amount of energy, by which improving the efficiency is a significant challenge. Smart street lights which use light-emitting diode (LED) lights for illumination and monitoring is being used for less power consumption and environmental efficiency. As smart street light system with detection of vehicle for the use of traffic is not been widely used, Smart street light system using raspberry pi is an intelligent system of street light which minimizes the problem of electricity power consumption which is caused late at night when the street lights are working. The street light work for nearly 12 hours i.e from evening 18:00 to next day morning 06:00AM which are not majorly used from 23:00PM to 05:00AM. As for the mentioned 6 hours, there are very less vehicles as well as people on the streets and a huge wastage of electricity. Smart street light system using raspberry pi as the proposed system focuses on minimizing the power consumption as well as to detect the velocity or speed of the vehicle. The system is designed using LED, PIR sensor, LDR sensor, SD card, camera module, with all this components which are connected and controlled using raspberry pi. This system will detect the vehicle and it turns the street light to full intensity when the vehicle passes and the street lights are automatically turned to low intensity if not required and it also detects speed and distance of the vehicle from street light.

Intelligent Street Lighting System for Smart City

Intelligent Street Lighting System aims that to design and implement the advance development in the embedded system for energy efficient of street light. Currently we have a manual system which are automatically turn on and off, when there is no light detection it becomes on mode and automatically turn off mode when it detects the light. With this the electrical energy will be wasted for some amount. This paper gives the solution for energy consumption. The smart street light system consists of AVR microcontroller, LED lights, Ultrasonic sensors, LDRs, solar panels and short-distance communication networks. The LDR sensor is used to sense the intensity of the light and the ultrasonic sensors are used to sense the object under the street pole. When object detects under the pole the light will glows with 100% brightness otherwise the light will remain in dim. This is done by sensing and approaching a vehicle using a real time ultrasonic transmitter and Receiver couple. Upon sensing the movement of the vehicles, the sensor will transmit the data to the microcontroller which furthermore the Light to switch ON otherwise it will be in dim. If the pole or bulb gets damaged it automatically send the message to the remote user through the Bluetooth. Automated switching reduces the energy consumption up to 55% per month.

Retracted] Performance Analysis and Development of a Semiconductor Junction Rectifier with Multicolor Coding for Indoor Farm Applications

This paper aims to build a smart lighting system with applications such as remote for controlling power supply and optimizing heat management in the metal body of the semiconductor diode and with a printed circuit board for agriculture. The semiconductor diode strips with multiple colors are lined up and configured as a LED lamp with proper casing and heat sink. It has a driver circuit with required power regulation that is able to control the intensity of light for photosynthesis and plant growth requirements. The system uses hydroponics to plant the water, thus decreasing the usage of fertilizers. The entire system is controlled remotely using necessary communication interface application.

Automated Smart Utilization of Background Lights and Daylight for Green Building Efficient and Economic Indoor Lighting Intensity Control

The ways which are used today in order to light houses, offices, and most of the indoor areas are inefficient as a lot of energy is consumed unnecessarily during the day time. Mainly this problem because the interior lighting design consider the worst case when the light service is at night, which is not always valid. Also in most cases the lighting system design relies on people to control the lights switching on and off. This problem is also one of the design concerns in Green Building. In this paper, a solution to this problem and a method for people’s comfort who use the indoor facilities in industrial buildings is presented. In the proposed smart lighting system, lights switch on automatically when there is somebody in the room or in the occupied space and switch off when there is no occupancy. In addition to this known technique, adjustment of the brightness level of the lights will be possible via the personal computer or any other smart device. In this method, for the illumination level in the area, where is needed to be controlled for better energy saving, the light automatically is measured by the sensor and considering the amount of background lights coming from outside, automatically the brightness of lights is controlled to reach the preset level that determined for that room. By the means of this method, it is possible to provide better user comfort, avoid human forcedness to switch the light on and off, and hence effective energy saving. Arduino controller is used to build the controller and to demonstrate the results. Economic analysis was done to calculate the percentage of the energy saving that can be obtained by implementing the proposed smart lighting controller. As an outcome of the economic analysis, energy saving norm for an office with a standard size was calculated.

Advanced Adaptive Street Lighting Systems for Smart Cities

This paper reports the results of a recently concluded R&D project, SCALS (Smart Cities Adaptive Lighting System), which aimed at the development of all hardware/software components of an adaptive urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps. The system is capable to autonomously adjust street lamps’ brightness on the basis of the presence of vehicles (busses/trucks, cars, motorcycles and bikes) and/or pedestrians in specific areas or segments of the streets/roads of interest to reduce the energy consumption. The main contribution of this work is to design a low cost smart lighting system and, at same time, to define an IoT infrastructure where each lighting pole is an element of a network that can increase their amplitude. More generally, the proposed smart infrastructure can be viewed as the basis of a wider technological architecture aimed at offering value-added services for sustainable cities. The smart architecture combines various sub-systems (local controllers, motion sensors, video-cameras, weather sensors) and electronic devices, each of them in charge of performing specific operations: remote street segments lamp management, single street lamp brightness control, video processing for vehicles motion detection and classification, wireless and wired data exchanges, power consumptions analysis and traffic evaluation. Two pilot sites have been built up in the project where the smart architecture has been tested and validated in real scenarios. Experimental results show that energy savings of up to 80% are possible compared to a traditional street lamp system.

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

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.

DALI Bridge FPGA-Based Implementation in a Wireless Sensor Node for IoT Street Lighting Applications

Smart lighting systems based on the Digital Addressable Lighting Interface (DALI) protocol are the most suitable for street lighting systems, allowing digital lighting control operations. Unfortunately, the microcontrollers, which are commonly used in the Wireless Sensor Network nodes to control the lamps, do not implement this protocol. The DALI protocol implemented by software in the microcontroller consumes hardware resources (timers), processing time and requires a precise temporal analysis of the application, due to the strict bit times and the Manchester coding that it uses. In this work, the design of a bridge is proposed to free the microcontroller from the implementation of the DALI protocol. The novelty of this work is the implementation of the DALI Bridge in a low-cost Field-Programmable Gate Array (FPGA) with low power consumption. The bridge has been described in the hardware description language following the 1076-93 and 1076.3-97 standards, to guarantee its portability. The results of the synthesis show that a minimum amount of logical and routing resources is used, that the power consumption is in the order of tens of mW, that it has a very small latency time and that it supports a high operating frequency, which allows adding new functions. Its operation is verified by implementing a wireless sensor node using an FPGA of the Lattice Semiconductor iCE40 family.

Design and Simulation of IoT and Zigbee based Smart Lighting System

Design and Simulation of IoT and Zigbee based Smart Lighting System

Energy Saving Smart Light System Development: The Approach and Technique

Energy Saving Smart Light System Development: The Approach and Technique

Cloud-based energy efficient smart street lighting system

Background/Objectives: Pakistan is experiencing significant energy crises for the last two decades. The increasing power demand cannot be controlled with traditional energy techniques. The conventional street lighting system remains ON all over the night. Consequently, a huge amount of energy is wasted. To overcome the shortage of energy, an efficient smart lighting system is proposed. Methods: The prime thought to accomplish is ``Energy on-demand\'\' i.e. handed-in wherever, whenever required. To achieve this goal, the cloudbased smart street lighting system provides a feasible solution. The proposed system uses an Arduino and its various shields based on a movement-based actuation system like Light Detection and Ranging (LiDAR), automate the street lighting system. This design is executed and implemented on a one-way road and its results are carried out at three different scenario cases. The analysis is done by a decision-making module that obtains results from the sensor (LiDAR). Findings: The availability of low cost advanced devices like LiDAR, Arduino, cloud storage, and the accessibility of wired and wireless connection, smart street lighting system becomes a reality. The proposed system is beneficial to overcome the CO2 emission. Further, it will also be helpful to avoid the unnecessary consumption of streetlight as well as to reduce power utilization and save energy up to 99%. Applications: This proposed framework has an immense potential to revolutionize street lighting and to achieve the demand for a smart street lighting system that is easy to maintain, durable, and reliable. Keywords: IoT; cloud; LiDAR; street lighting system; Arduino

Chlad Apock-Iot Based Security Lock Safety at Your Hands

In today’s hectic schedule, it is obvious to forget to lock the doors or off the lights and then check for it frequently. Obsessive Compulsive Disorder(OCD) is an anxiety disorder in which some people have recurring ,unwanted thoughts, ideas or sensations that make them feel driven to do something repetitively .OCD can make it difficult for the people to perform everyday activities. This paper is all about modernising the conventional door lock and smart lighting system in order to help people. The product is solution to several difficulties faced by people experiencing .Here we use a leading edge technology namely mobile application for checking the status of door and light. The uniqueness of this product relies on the fact that using new technologies along with old ones will result in an agile and more dynamic system. Furthermore, the biggest advantage of the proposed system over existing ones is that it can be easily installed with minimal requirement of infrastructures and planning.

Indoor Surveillance Camera based Human Centric Lighting Control for Smart Building Lighting Management

The human centric lighting (HCL) control is a major focus point of the smart lighting system design to provide energy efficient and people mood rhythmic motivation lighting in smart buildings. This paper proposes the HCL control using indoor surveillance camera to improve the human motivation and well-beings in the indoor environments like residential and industrial buildings. In this proposed approach, the indoor surveillance camera video streams are used to predict the day lights and occupancy, occupancy specific emotional features predictions using the advanced computer vision techniques, and this human centric features are transmitted to the smart building light management system. The smart building light management system connected with internet of things (IoT) featured lighting devices and controls the light illumination of the objective human specific lighting devices. The proposed concept experimental model implemented using RGB LED lighting devices connected with IoT features open-source controller in the network along with networked video surveillance solution. The experiment results are verified with custom made automatic lighting control demon application integrated with OpenCV framework based computer vision methods to predict the human centric features and based on the estimated features the lighting illumination level and colors are controlled automatically. The experiment results received from the demon system are analyzed and used for the real-time development of a lighting system control strategy.

Red, green, blue, and white clusters for daylight reproduction

Daylight is an inherent attribute of a sustainable building. Artificial reproduction of natural illumination under varying needs and environmental conditions has been made possible after the appearance of the new wave of solid-state light sources. Our work is devoted to the development of white light-emitting diode (LED) clusters consisting of red, green, blue, and white (RGBW) LEDs for implementation in a smart lighting system that is able to reproduce light with correlated color temperature (CCT) similar to daylight, high values of color rendering index, and luminous efficacy. A method for determination of the optimal contribution of each of the four LEDs is demonstrated and discussed. We show that only three LEDs—green, blue, and white (no red) can be used in many cases for reproducing daylight. Both luminous efficacy of radiation and actual luminous efficacy of the considered RGBW clusters as functions of the CCT are analyzed.

Colour temperature tunable RGBW clusters with 3 control channels

The work is devoted to development of a smart lighting system that is able to change correlated colour temperature and consists of tunable 4-components RGBW clusters controlled via three channels. It is shown that fixing a ratio between the intensities of white and red LEDs at a level of 100:9 enables obtaining high values of colour rendering in a wide range of correlated colour temperatures. A control of 3 from 4 channels simplifies the system. The influence of the red LED on CRI and luminous efficiency is analysed. Full Text: PDF

Development and implementation of smart street lighting system based on LoRa Technology

This paper concerned with the development and implementation of smart street lighting control system based using Led lamp and Lora Wireless communication. Smart street lamps have been developed for over several years. These technologies have played an important role in urban safety, energy conservation. Currently, a traditional street lights are automatically turn on or off based on timer or day/night sensor. LEDs are now the standard replacement for legacy lighting in most cities around the world. At the same time, smart controls are becoming more mainstream and are increasingly installed alongside LED deployments. Recently, the conventional light sources are replaced by Led, which have so many advantages such as: energy savings, long lifetime, high reliability, pure light color, fast response, and friendliness to the environment. Furthermore, the intensity of the LED can be controlled easily. In this paper, the smart lighting system is designed to control and monitor devices via wireless transmission frequencies below 1 GHz. The system will include many types of devices connected to each other by a gateway. The transmit distance is about 2km in the urban area and up to 5km in rural area. The proposed smart street public lighting provides some advantages features such as: Automatic mode, Remote control mode, Connection disconnection mode, Manual direct operation mode. The smart lighting system has been built at Ho Chi Minh City University of Technology to meet the standards for data transmission. And some experimental resutls are provided to show the effectiveness of the porposed system.

Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom.

Illumination is one of the most important environmental factors in the classroom. Researchers have discovered that lighting settings have significant impact on students’ performance. Although light-emitting diode (LED) lighting systems can precisely control brightness level and correlated color temperature (CCT), existing designs of LED lighting control systems for classrooms are focused on energy-saving but lack context-based illumination control ability. In this study, a smart lighting system with continuous evolution capability was developed. It can adjust brightness, CCT, and illuminance distribution dynamically according to specific learning context. This system allows not only manual control, but also automatic switching of scenes by integrating with school schedules. Based on existing knowledge about lighting preference, 10 lighting modes confined in the comfortable zone of Kruithof curve were proposed for various classroom scenarios. Moreover, a classroom environmental data-processing framework for collecting and analyzing learning context, illumination settings, environmental data, and students’ performance data was introduced. This framework can help researchers explore the correlation between student performance and environmental parameters.

Broadcast-based routing protocol for smart lighting systems

We consider a smart lighting system, where sensors and actuators deployed on lamp posts generate data intended for a sink at the end of a street, thus creating a linear wireless network (LWN). We propose a novel broadcast-based routing protocol for this type of networks. During an initial discovery phase each node identifies its neighbours and selects its best neighbour as the one closest to the sink. Data is then transmitted in broadcast, by prioritising the best neighbour as forwarder. The protocol allows packets to reach the sink through a small number of hops and consequently improve throughput and packet delivery probability compared to existing solutions. The proposed protocol has been implemented, tested and compared to standard solutions based on IEEE 802.15.4 and Zigbee. Experimental results, in terms of packet loss rate, throughput and number of hops to reach the sink, show the improvement with respect to the existing solutions.

Development of an Autonomous Light Control Algorithm with a Simulation Model of a Container Terminal

In the ongoing decade, port logistics in Europe have been exposed to intense competition. Especially container ports experience competition not only for ships but also for supply chains. To adapt to this trend, terminal operators are improving the efficiency in port logistics through, among other things, automation of port operations. Most of these efforts concern processes handling shipped goods. Instead of concentrating on these well-researched improvements, we explored the feasibility and economic potential of an intelligent lighting control system. Often automating handling processes need high investments in hard- and software. This smart lighting system is supposed to control demand-actuated outdoor lights in a harbour environment. In this research, movement profiles of straddle carriers and infrastructural data were gathered and refined to build a model of the observed container terminal. The modelled infrastructure includes the position of every lighting tower and its illuminant as well as their specific power consumption and the respective area, which those lights illume. To control these lights, we developed a control algorithm. We investigated through simulation experiments the power savings for this autonomous lighting control system. Multiple influential factors of this control concept were evaluated by varying the parameterization of the algorithm. A gathered data set, containing trajectories of operating straddle carriers during full terminal utilization, is the basis for the mentioned experiments. The results of varying the utilization rate of the terminal have identified a relationship between capacity and percental power consumption, in the form of a root function. The more straddle carriers run, the less the overall power consumption is increasing. Using the intelligent light control system on full utilization saves 14.67% of the total energy. In the case of 80 % terminal utilization, 18.22 % of total energy is subject for saving effects. Besides these results, we were able to explore the influences of the algorithm parameterization on the energy savings and could assess these solutions economically.

A Review: Buildings Energy Savings - Lighting Systems Performance

Lighting systems are one of the highest energy consumptions specifically in buildings. Thus, by designing energy efficient systems, it would contribute much to buildings energy savings. Therefore, this paper motivation is to review a number of lighting systems designs applied to many types of buildings. It is then so important to discover what methods and systems which have been proposed to save energy in buildings in term of lighting. By finding out what proposed systems are for different types of buildings, designers and respective researchers e.g., buildings engineers would find possibility and applicability of such lighting systems for certain types of buildings to achieve higher energy savings than some other systems when applied to the same types of buildings. Such a relation between reviewed lighting systems with types of buildings would be helpful for many researchers from different fields. There exist numerous factors that play an important role in achieving higher energy savings rate on which efficient energy lighting systems rely. This paper aims to review several types of lighting systems designs applied to different types of buildings. Additionally, performance(s) of lighting systems might vary depending on the design of the lighting system to achieve higher buildings' energy savings. In this review paper, several past studies that utilized Information and Communication Technology (ICT) from the perspective of energy Informatics for a smart lighting system that efficiently achieves energy savings have been considered. This paper has considered different types of lighting systems and types of buildings. Cited papers in this review paper are derived from six digital libraries which are: IEEE Xplore Digital Library, ScienceDirect, MDPI, Emerald Insight, ACM DL, and Taylor & Francis Online.

Smart Lighting System for Vehicles to Avoid Blind Spots

Smart Lighting System for Vehicles to Avoid Blind Spots