Lighting Control System Research Articles

A Vision-Based Real-Time Adaptive Traffic Light Control System Using Vehicular Density Value and Statistical Block Matching Approach

Abstract In India, traffic control management is a difficult task due to an increment in the number of vehicles for the same infrastructure and systems. In the smart-city project, the Adaptive Traffic Light Control System (ATLCS) is one of the major research concerns for an Intelligent Transportation System (ITS) development to reduce traffic congestion and accidents, create a healthy environment, etc. Here, we have proposed a Vehicular Density Value (VDV) based adaptive traffic light control system method for 4-way intersection points using a selection of rotation, area of interest, and Statistical Block Matching Approach (SBMA). Graphical User Interface (GUI) and Hardware-based results are shown in the result section. We have compared, the normal traffic light control system with the proposed adaptive traffic light control system in the results section. The same results are verified using a hardware (raspberry-pi) device with different sizes, colors, and shapes of vehicles using the same method.

Radiation Control of Halogen Lamps Falling on Double Pass Solar Air Heater

This paper studies the control of radiation on double-pass solar air heaters with porous media in the lower channel. The intensity of radiations was controlled in two ways potentiometer and mobile via the Bluetooth by designing, building, and implementing a light control system which consists of a power supply, transformer, two Arduino microcontroller (which programmed with C++ language), bridge rectifier, resistances, two optocouplers, TRAIC, Bluetooth model, toggle switch and LCD Display. The results showed the inverse relationship between the solar radiation and the resistance, the maximum solar radiation obtained from this work reached 786 W/m2 when the resistance is 1.15 kΩ, while the minimum solar radiation is 158.6 W/m2 when the resistance is 6.21 kΩ. The output power increases with increasing solar radiation, which means the maximum output power reaches 2567 W at the maximum solar radiation.

Design and Implementation of an Emergency Traffic Light Pre-emption System Using PLC Automation

As traffic on the urban Ghanaian road network increases, congestion and delays are becoming more severe. Traffic signals are the most common method by which right of way is dynamically allocated to conflicting movements. Ghanaian traffic light control system is mainly designed by using devices such as timers, relays etc. The critical timing operation is required to be carried out under the existence of heavy traffic situations. This does not give this conventional traffic light control system the flexibility to control throughput to favor emergency vehicles. This conventional practice leads to many problems and subsequent delay for a long time. With the help of a PLC, the requirement of fast automation and effective optimization of traffic light control even in times of emergency can be achieved.At intersections, capacity bottlenecks are formed in urban road networks because at these locations, capacity must be shared by competing traffic movements. For this reason, this thesis introduces an execution and implementation of T-junction emergency traffic control system using SEIMENS S7-200 PLC. Programming in PLC is written in ladder logic with the help of STEP7 MICROWIN software.

Performance analysis of smart lighting control system for sustainable campus operation

Performance analysis of smart lighting control system for sustainable campus operation

Smart lighting system control strategies for commercial buildings: a review

Smart lighting system control strategies for commercial buildings: a review

Lighting energy performance determination in office environments through implementation of EN 15193-1 for Turkey

Office buildings are building typologies where efficient and optimal use of lighting energy is crucial while providing comfortable visual environments. The purpose of this study is to explore the impact of diverse architectural design alternatives on lighting energy requirements and lighting energy saving possibilities through a case study. In this study, a total of 3888 design alternatives are investigated in a comparative way in terms of daylighting system design alternatives, artificial lighting system design scenarios, artificial lighting system control types and shading system control options. Introducing the adaptation process of the EN 15193-1:2017 standard for Turkey’s specific climatic and geographical conditions and considering diverse lighting design scenarios, results of this parametric study aim to underline the significance of architectural design strategies in office buildings for the reduction of lighting energy requirements.

Fuzzy-Logic Controller for Energy Saving in A Smart LED Lighting System Regarding Lighting Comfort and Sunlight in Commercial Buildings

Electric lighting is one of the main factors consuming energy in commercial buildings. Use of sunlight has become crucial for indoor lighting to save energy. So, it is necessary to use control algorithms in order to meet indoor lighting conditions and keep them at a certain level using sunlight. Energy saving by sunlight contribution has raised specialists’ interest in this field. By the application of lighting control system there will be decline in annual energy consumption. And this will help to increase the efficiency and satisfaction of employees by using artificial light and sunlight. In this study, a fuzzy-logic controller was designed using sunlight and regarding lighting comfort. Motion sensors were installed in tables in an office room created in a simulation environment. Lighting system sets itself automatically detecting the movement of users and also lets them to choose the lighting level for their lighting comfort. Result of the simulation shows that using comfort lighting saves much energy compared to uncontrolled lighting.

Using of a weighted directed acyclic graph for major repairs of real estate objects: the optimal combination of energy-efficient measures introduction

Energy consumption analysis by regions of the world for the period from 2005 to 2019 showed that the growth of energy consumption is only increasing every year and requires certain energy-efficient measures. The largest energy consumption is in the construction sector, namely in residential buildings, which is associated with the large cities urbanization. Energy consumption depends not only on the energy efficiency of the temperature and lighting control systems, but also on the efficiency of the buildings in which they operate. Based on this, the housing stock of the city of Voronezh, which was conditionally divided into “old apartment buildings” and “new apartment buildings” (depending on the building period) was considered. Multi-apartment buildings were considered, taking into account various characteristics in order to identify the actual characteristics that affect energy consumption. Based on the data obtained, a statistical analysis of energy consumption in old apartment buildings and new ones, respectively, was carried out. On the basis of the research an algorithm was proposed for the energy-efficient measures introduction when planning major repairs in apartment buildings (AB) using a weighted directed acyclic graph.

A lighting control system of art museum based on image recognition and STM32

Intelligent lighting control system plays a vital role in the lighting regulation of art gallery. It is necessary to design an automatic control system of light regulation. This paper proposes a la...

Voice control and management in smart home system by artificial intelligence

The paper provides a 3D architectural model of Smart Home system. An information data sets of parameters in sound analysis of test voice commands were collected. The following analyzed indicators are included, respectively LZE, LZeq, LZF, LZS, LZI, LAE, LAeq, LAF, LAS, LAI, LCE, LCeq, LCF, LCS, LCI and LEX8h. Backpropagation and Hybrid algorithms based Artificial intelligence (AI) and Adaptive neuro-fuzzy interface system (ANFIS) were synthesized. Selected architectures are integrated in intelligent automated voice control system for human access control, power switching and lighting, air conditioning systems and home appliances. In the process of synthesis, different criteria for network performance in the analysis of activation type in the output layers in AI and input layer in ANFIS are applied. About all considered voice categories for functional control an accuracy of 100.0% was established. Verification procedures concerning reliability of the achieved results were performed for correct confirmation.

Using a production-type expert system in the street lighting control system

The problem of outdoor lighting control is investigated. The analysis of the evolution of lighting control is carried out. An approach to the construction of an automated control system for outdoor lighting based on a production-type expert system is proposed.

Remote control system for street lighting based on internet of things technologies

Remote control system for street lighting based on internet of things technologies

Realization of IoT Integration System of LED Based on Particle Swarm Optimization

The purpose of this research is to design an intelligent LED lighting control system with wireless remote control. Since the designed system is mainly based on Android applications, it controls wireless lighting modules through a sever by means of a smartphone, tablet computer, or another handheld mobile device, and the values displayed on the handheld device are used to monitor the establishment and design of the electricity state and multiple-LED light control scenarios in real time. The server is connected with a touch human-machine interface, digital meter, wireless lighting controller, infrared learning module, and other devices through RS-232 and RS-485 serial communication ports, and the controller and receiver of the wireless lighting module use ZigBee as a communication protocol. The touch human-machine interface can read the measured value from the server and receive user input commands to control the wireless light control module and infrared learning module. Through the Wi-Fi, the user can operate the proposed system by using a handheld mobile device. This paper also analyzes the measured data using the particle swarm optimization (PSO) algorithm, analyzing the electricity consumption based on the concepts of PSO speed and location updating and judging how to save electricity when using a light source in order to establish an intelligent LED lighting control system, facilitate mastering of electricity consumption, and realize control of other related electronic equipment during the operation process. The proposed intelligent LED lighting control system can be used in integrating applications of digital life and green energy saving.

A lighting control system of art museum based on image recognition and STM32

A lighting control system of art museum based on image recognition and STM32

Load current, dropped voltage and size considerations in LDR based light control system

Energy consumptions are dominated by lighting and air conditioning. Automatic controlling is the solution as human awareness is unreliable. Lighting and air conditioning can be automatically controlled by employing light sensor as well as human existence sensor. Light bulb and street lighting have been widely equipped by light sensor such as the light dependence resistor (LDR). LDR sensor circuit can be made transformer less and transformer based. Transformer less LDR circuit can be integrated into light bulb while transformer based LDR circuit is designed as a standalone device. This paper examines power consumption, load current and circuit size of both LDR circuits. Experiments show that transformer less LDR circuit consumes higher power with limited load current. However, its size is smaller. On the other hand, transformer based LDR circuit consumes less power and provides larger load current. But the challenge is the transformer size to overpower the transformer less circuit.

Control of Smart house sensors using Google Assistant

As a result of the research, a working model was created by smart home devices and the Internet of Things using a voice interface. Integrated Google Assistant, Dialogflow, PHP and MQTT. Voice interfaces are closely related not only to the use of smartphones, but also to wearable electronics, autonomous control, speaker speakers and even games. In turn, the Internet of Things today is not only a concept, but also a real movement with its technologies and protocols. Their variety and use of open technologies allows you to flexibly choose the tools for the project you need, taking into account its specifics. Smart lighting control systems are very popular because of the convenience of such solutions (remote on and off, increase and decrease brightness), the ability to collect and analyze data, the ability to make decisions depending on the ratio of external sensors and events. Google Assistant is an artificial intelligence-powered virtual assistant developed by Google that is primarily available on mobile and smart home devices. Unlike the company’s previous virtual assistant, Google Now, the Google Assistant can engage in two-way conversations. Dialogflow is a natural language understanding platform used to design and integrate a conversational user interface into mobile apps, web applications, devices, bots, interactive voice response systems and related uses. The ESP8266 is a low-cost Wi-Fi microchip, with a full TCP/IP stack and microcontroller capability, produced by Espressif Systems in Shanghai, China. The Message Queuing Telemetry Transport (MQTT) is a lightweight, publish-subscribe network protocol that transports messages between devices. The protocol usually runs over TCP/IP; however, any network protocol that provides ordered, lossless, bi-directional connections can support MQTT. It is designed for connections with remote locations where a «small code footprint» is required or the network bandwidth is limited.

Research on Digital Application of Lighting Design in Public Space Based on Cloud Computing and Data Mining

Light comes along with everything in the world, which makes the world full of vigor and vitality. The appearance and development of urban landscape art lighting have added a surprise to human beings and have also increased their desire and pursuit for life. This paper describes the characteristics and functions of intelligent lighting control system in landscape public space based on cloud computing and big data, and how to use remote measurement and control technology. The system is composed of intelligent sensing layer, network transport layer, and big data processing application layer, which can collect the location and running status information of urban lighting equipment in real time. The application mode, management mode, and service mode of traditional lighting were changed through a remote platform, and the sustainable development mode of energy saving and environmental protection in the future was realized. The importance of humanized lighting design in landscape public space and the scientificalness of humanized lighting design in landscape public space lighting design are further clarified. This paper hopes to have certain reference value and guiding significance in landscape public space lighting design.

Intelligent Traffic Light Control System Based On Traffic Environment Using Deep Learning

At present, the traffic control frameworks in India, need insight and go about as an open-loop control framework, with no input or detecting system. Present technologies use Inductive loops and sensors to detect the number of vehicles passing by. It is a very inefficient and expensive way to make traffic lights adaptive. Using a simple CCTV camera can improve the conditions. The visual tracking of objects is amongst the most critical areas of computer vision and deep learning. The objective of this work was to develop the traffic control framework by presenting a detecting system, which gives an input to the current system, with the goal that it can adjust the changing traffic density patterns and provides a vital sign to the controller in a continuous activity. Using this method, improvement of the traffic signal switching expands the street limit, saves time for voyaging, and prevents traffic congestion. The framework additionally goes for consolidating exceptional arrangements for clearing the path for emergency vehicles. In this paper, we will detect and track vehicles on a video stream and count those going through a defined line and to ultimately give an idea of what the real-time on-street situation is across the road network. Our real target is to advance the deferral in the travel of vehicles in odd hours of the day. It uses the YOLO (“You Only Look Once”) object detection technique to detect objects on each of the video frames And SORT (Simple Online and Real-time Tracking algorithm) to track those objects over different frames. Once the objects are detected and tracked over different frames, a simple mathematical calculation is applied to count the intersections between the vehicle’s previous and current frame positions with a defined line.However, accuracy drops when vehicles are either close together or have large shadows, dark vehicles do not always meet the detection criteria, and night scenes are challenging to resolve as headlight beams can create large areas that meet threshold criteria. We are focusing on the Indian roads where the traffic conditions are harsh and abrupt. We have already tested it on a live feed from various traffic prone roads and have found satisfactory results. Other Adaptive Traffic Light Systems were not able to work on the Indian traffic conditions. Our model has the edge over the other by performing at par on Indian roads. We’ll increase or decrease the timer according to the conditions of the roads. This will tremendously improve the traffic conditions at a very low cost. Inductive loops are a feasible but expensive method. So, this system reduces costs and provides quick results.

Different Fuzzy Logic Control Strategies for Traffic Signal Timing Control with State Inputs

Traffic density in big cities is an important factor that reduces the quality of human life. With the increasing population of metropolitans and the inability of their infrastructures to handle this density, the traffic density is gradually increasing. As a result, passengers lose time in more traffic and the amount of emissions and hence air pollution also increases. Traffic intersections are one of the most important places that directly affect traffic flow, as they are the intersection points of more than one road. The traffic light is an important solution to change the pass permission for vehicles and pedestrians. It is actually possible to have less traffic density with adaptive changes in lighting periods depending on changing traffic density situations at the intersections. In this paper, a traffic light system at a four-legged junction is controlled by a Fuzzy Logic Controller (FLC) with different input values which are queue length and state input. The recommended method is FLC with state input based on vehicle location. The Simulation of Urban Mobility (SUMO) is used to create and manage the simulation of this control system. Results are compared for the proposed types of Traffic Light Control Systems depend on waiting time and queue length.

Use of Receiver Operating Characteristic Curve to Evaluate a Street Lighting Control System

Intelligent control of public lighting is nowadays one of the most challenging issues in smart city deployment. Lighting optimization entails a compromise between comfort, safety, and power consumption, affecting both vehicles and pedestrians. Smart solutions must estimate their characteristics to trade-off users’ needs and energy requirements. This paper proposes an intelligent street lighting control system and the Receiver Operating Characteristic (ROC) curve method to evaluate the best number of street lamps to achieve a balance between public road user comfort and system power consumption. The control system is based on the detection of users, mainly pedestrians, using presence sensors. From the detection of a pedestrian by two or more consecutive street lamps it is possible to determine their speed. Knowing the pedestrian speed, allows the system to anticipate and adjust the light intensity of the remaining street lamps, and provide a comfortable view of the street. Using the ROC curve, we evaluate the control algorithm in terms of the number of previous street lamps used. We have tested the system and the method in a model of pedestrians walking down a street. The obtained results show that ROC analysis used to control street lighting allows measuring the whole control system’s efficiency by providing a concrete number of previous street lamps.