Smart Lighting System Research Articles

INFORMATION SYSTEM OF STREET LIGHTING CONTROL IN A SMART CITY

Context. In the context of the rapid development of technologies and the implementation of the concept of smart cities, smart lighting becomes a key element of a sustainable and efficient urban environment. The research covers the analysis of aspects of the use of sensors, intelligent lighting control systems with the help of modern information technologies, in particular such as the Internet of Things. The use of such technologies makes it possible to automate the regulation of lighting intensity depending on external conditions, the movement of people or the time of a day. This contributes to the efficient use of electricity and the reduction of emissions into the atmosphere. Objective. The purpose of the paper is to analyze the procedures for creating an information system as a tool for monitoring and evaluating the level of illumination in a smart city with the aim of improving energy efficiency, safety, comfort and effective lighting management. The implementation of a smart lighting system for Lviv will help improve energy efficiency and community safety. Method. A content analysis of scientific publications was carried out, in which the results of research on the creation of street lighting monitoring systems in real urban environments were presented. The collection and analysis of data on street lighting in the city, such as energy consumption, illumination level, lamp operation schedules, and others, was carried out. Machine learning methods were used to analyze data and predict lighting needs. Using the UML methodology, the conceptual model of the street lighting monitoring information system was developed based on the identified needs and requirements. Results. The role of data processing technologies in creating effective lighting management strategies for optimal use of resources and meeting the needs of citizens is highlighted. The study draws attention to the challenges and opportunities of implementing smart lighting in cities, maximizing the positive impact of smart lighting on modern urban environments. The peculiarities of the development and use of an information system for controlling street lighting in a smart city are analyzed. The potential advantages and limitations of using the developed system are determined. Conclusions. The project on the creation of an information system designed to provide an energy-efficient lighting system in a smart city will contribute to increasing security, particularly, ensuring the safety of the community through integration with security systems, reducing energy consumption, through minimizing the electricity usage in periods when the need for lighting is not necessary. It has been determined that to implement an information system for remote monitoring and lighting control in a smart city, it is advisable to consider the possibility of using a complex lighting control system. Calculations were made on the example of Lviv for the city’s lighting needs. The use of motion sensors to determine the need to turn on lighting was analyzed. A conceptual model of the information system was developed using the object-oriented methodology of the UML notation. The main functionality of the information system is defined.

Anomaly Intrusion Detection System for smart lighting

Smart lighting systems (SLS) are essential to smart cities, offering enhanced energy efficiency and public safety. However, they are susceptible to security threats, potentially leading to safety risks and service disruptions, making the protection of this infrastructure critical.This paper presents an anomaly-based Intrusion Detection System (IDS) designed for a real-world operational SLS. As commercial deployments vary in components, protocols, and functionalities, IDSs must be tailored to the characteristics of each deployment to perform effectively. Our anomaly IDS has been specifically defined based on the properties of available data and the types of attacks we aim to detect, providing explainability and exhibiting low complexity. The proposed system identifies anomalies in seven features of network traffic and telemetry data received at the central control (O&M) server. For the latter, we designed three customized anomaly detectors to identify abnormal data points, persistent deviations in power consumption of street lamps, and abnormal power value based on the time of day. Validation with real-world data and simulated attacks demonstrates the effectiveness of our approach. Network attacks (e.g., DoS, scanning) were detected by at least one of the seven flow-related anomaly detectors, while simulated data poisoning attacks and operational technology (OT) issues were detected with nearly 90% accuracy. The datasets used in this work are publicly available and may serve as a reference for the design of future IDS. While our detectors were designed specifically for our dataset, the variables examined and vulnerabilities addressed are common in most commercial SLSs.

Design, Development and Evaluation of Smart Lighting System for Physically Challenged Person

This study determined the effectiveness of the propose project smart home lighting system for physically disabled person. Specifically, it deals the main usage of the proposed project, its functionality, applicability, durability and safety and how this project works properly in other to help people as a new innovation. The project is tested out of 20 respondents that has knowledge regarding electricity, enough to understand the flow of the project its material used, functions, usage and how it works. The proposed project has a very good application. It helps physically disabled person to use the device even if they are alone without the help of others. Device allow users can customize lighting environment. The conclusions are drawn based on the findings of the study. Enhanced control smart lighting systems provide individuals with physical disabilities the ability to control their lights using voice commands or mobile applications. Energy efficiency often incorporate energy-saving features, such as LED bulbs and automated scheduling. Physically impaired person this device had a very important usage by providing them with convenient and accessible control over their lighting environment. Future researchers are encouraged to conduct studies similar to the present investigation in their domain school..

An IoT-Based Smart Street Lighting System to Lower Energy Consumption

Smart Lighting System is an automated and intelligent lighting control system that can be deployed across multiple locations or in one location, utilizing various IoT connection protocols, devices, and sensors. The system is able to intelligently adjust to changes in ambient light conditions, traffic patterns, and pedestrian activity through the integration of Internet of Things (IoT) technologies. IoT-enabled sensors are installed in every street light, creating a network that connects to a central control unit. Using real-time data, this system dynamically modifies street light brightness to maximize energy efficiency and improve safety. It provides a simulation and optimization tool for street light placement, considering factors such as street length, light distance, and the number of lights ahead. This tool aids in visualizing the power consumption implications of different configurations, promoting efficient urban planning. Demonstrates the energy-saving potential of the proposed system. As the street light intervals and the number of lights ahead decreases, the optimal street light power significantly reduces, leading to substantial energy savings. The system's ability to dim or turn off lights during low-traffic or well-lit periods contributes to reduced operational costs and enhanced sustainability.

Exploring the relationship between office lighting, cognitive performance, and psychophysiological responses: A multidimensional approach

Recognizing the growing importance of optimizing work environments for better cognitive performance, this study examined the relationships between general office lighting, psychophysiological responses and cognitive performance. Sixteen healthy adults in their 20s participated in experiments under nine different lighting conditions combining three levels of correlated color temperature (i.e., 4,000K, 5,000K, and 6,500K) and three levels of illuminance (i.e., 200 lx, 500 lx, and 800 lx). In the experiments, subjects’ primary and complex cognitive performances were measured and their psychophysiological responses such as mental workload, drowsiness, mental fatigue and stress, and visual fatigue were evaluated. Statistical analyses revealed that higher correlated color temperature and illuminance significantly enhanced primary cognitive performance but did not significantly impact complex cognitive performance or most psychophysiological responses. Notably, psychophysiological responses and cognitive performances were found to have mutual relationships rather than one being an absolute independent variable for another. The study suggests that tailored smart lighting systems could enhance cognitive performance in office environments by dynamically adjusting lighting conditions based on real-time psychophysiological feedback.

The Impact of Smart Home Technologies on Energy Efficiency, Cost Savings, and Environmental Benefits

The results of this study addressed the effectiveness of smart home technologies in terms of energy consumption, cost reduction, and environmental advantages in Nigerian homes. Given the growing energy requirements and concern for the environment, assessing the efficiency of such technologies is critical for socioeconomic development. We collected data using a combination of surveys and statistical analysis in five major Nigerian cities: Lagos, Abuja, Kano, Port Harcourt, and Enugu. We evaluated smart home technologies such as smart thermostats, lighting systems, appliances, plugs, and energy monitoring systems based on their energy savings (%), monthly cost savings (NGN), kilogram of CO2 emissions cut, and percent adoption. We used descriptive analysis and regression modeling to analyze the data collected from the respondents. The introduction of smart technologies reduced general energy use by fifteen to twenty-five percent, with smart appliances recording the highest reduction of up to 25%. This feature demonstrated how monthly cost savings varied depending on the technology and geographical location, resulting in significant increases of up to 4000 NGN per household, each household saw a reduction in CO2 emissions by 500 kg to 700 kg annually, resulting in significant environmental benefits. According to the studies, smart home technologies can help promote energy conservation and therefore reduce CO2 emissions in Nigerian households. However, there are still widely recognized obstacles, like high initial costs and a low level of awareness. offering financial incentives, improving Information Promotion of existing policies and overhauling the distribution systems to increase the pace of uptake and impact returns.

Evaluation of a cost-effective photoelectric sensor for daylight harvesting in smart public lighting systems

Global warming concerns, along with international agreements and regulations, reflect a broader effort to change the public's high energy demand in recent years. Smart public lighting systems are gaining popularity due to their energy-saving capabilities, reduction in carbon dioxide emissions, and improved public comfort. However, transitioning to smart public lighting requires careful planning and multiple stages. This is not only to accommodate public behavior, revise scenarios, and test citizen acceptance but also due to the necessary infrastructure investments. Smart public lighting incorporates new technologies, often with a breakeven point that takes several years to reach. To promote the widespread adoption of smart public lighting, it is essential to produce relatively expensive components in large quantities and explore cost-effective solutions. This research focuses on investigating a cost-effective photoelectric sensor for smart public purposes. The primary originality of this study lies in identifying a cost-effective photoelectric sensor that can replace technically equivalent but more expensive sensor solutions for indoor and outdoor lighting control purposes.

Smart and Intelligent Weather Adaptive Street Lighting System Using IoT

In this paper, an Internet of Things (IoT)- based smart and intelligent weather-adaptive street lighting system containing an Arduino UNO, an ESP 8266, an LDR, a voltage sensor, a current sensor, a PIR, a relay, and a mobile or web application is designed and implemented. This project's primary goal is to create an intelligent and adaptable street lighting system that will guarantee constant lighting for rural residents. This project is to minimize the electricity losses, reduce the manpower used in manually switching on-off the street lights and & energy cost. There are three primary parts to the system: An Arduino NANO, ESP 8266 is a Wi-Fi module for signal transfer and a smart phone that can operate web page servers. These days, consumers are searching for smart systems that require less maintenance and use less energy. This intelligent street light only turns on when needed, and it continues to run on its own subsequent evenings even in the absence of sunlight. Furthermore, an Arduino NANO was used to include a PIR sensor, which detects motion and turns on the lights to bright mode by turning on more lights. Taking those factors into account, these smart streetlights are equipped with an Internet of Things (IoT) powered adaptive system that can detect malfunctions and send message to parent system.

IOT Based Light Automation System

Electronic &Telecommunication (E&TC) Department of JSPM’s Bhivrabai Sawant Institute of Technology & Research (BSIOTR) Wagholi, Pune. Light System involves controlling departmental lighting using the Internet of Things (IoT), allowing for a user-friendly automation system within the department. Instead of switching light manually ON or OFF, this system uses technology for doing it automatically. It enables automatic control of electronic appliances such as fans and lights. In this paper, we have implemented the operation of lights through the Blynk Application to control departmental light automation, allowing users to turn lights ON and OFF as needed. The system primarily utilizes the Raspberry Pi module, a crucial component of our smart light system implementation. It comprises both hardware and software components. The hardware includes Raspberry Pi 3b+ and a Relay Module, while the software utilizes the Python Language to issue commands for turning the lights ON and OFF. Raspberry Pi 3b+ module keeps all electrical Department appliances connected through a single interface for complete smart home system automation. With this setup, there is no need to use the conventional switches, and hence human effort required for the system is comparatively very less. Keywords: Department Light System , Internet of Things (IoT) , User-friendly automation, Raspberry Pi module, Relay Module, Blynk Application. .

A COMPREHENSIVE REVIEW OF ENERGY-EFFICIENT LIGHTING TECHNOLOGIES AND TRENDS

Energy-efficient lighting technologies have undergone significant advancements in recent years, driving a transformation in the lighting industry. This comprehensive review explores various energy-efficient lighting technologies and trends, aiming to provide insights into their applications, benefits, and future prospects. The review begins with an overview of energy-efficient lighting technologies, including light-emitting diodes (LEDs), compact fluorescent lamps (CFLs), and advanced lighting controls. It examines the key characteristics and advantages of each technology, highlighting their energy-saving potential and environmental benefits. Next, the review discusses the trends shaping the energy-efficient lighting market, such as the transition to solid-state lighting, the emergence of smart lighting systems, and the growing emphasis on human-centric lighting design. It explores how these trends are driving innovation and transforming the way lighting is used and managed in various settings. The review also examines the benefits of energy-efficient lighting technologies, including reduced energy consumption, lower maintenance costs, and enhanced lighting quality. It discusses how these technologies contribute to energy conservation, sustainability, and improved lighting experiences for users. Furthermore, the review discusses the challenges and barriers to the widespread adoption of energy-efficient lighting technologies, such as high upfront costs, technical complexity, and the need for regulatory support. It explores strategies to overcome these challenges and accelerate the adoption of energy-efficient lighting solutions. Finally, the review provides insights into the future outlook for energy-efficient lighting technologies, highlighting emerging trends, innovative applications, and potential areas for further research and development. It emphasizes the importance of continued innovation and collaboration in driving the evolution of energy-efficient lighting technologies towards a more sustainable and efficient future. In summary, this comprehensive review offers a detailed analysis of energy-efficient lighting technologies and trends, providing valuable insights for researchers, policymakers, and industry stakeholders seeking to understand and leverage the potential of energy-efficient lighting for a sustainable future.
 Keywords: Energy-Efficient, Lighting, Technologies, Trend, Review.

Anomaly detection in Smart Traffic Light system using blockchain: Securing through proof of stake and machine learning

<p>The Smart Traffic Light system plays a crucial role in smart cities, contributing significantly to enhancing the overall urban living standards, supporting sustainable practices, assuring public safety, and optimizing operational efficiency. Smart lighting systems leverage advanced technology such as the Internet of Things (IoT), data analytics, and networking to construct a complex and flexible lighting infrastructure. Anomalies within the context of a Smart Light system’s data pertain to patterns, events, or behaviors that are unexpected or uncommon, displaying a considerable deviation from the system’s typical operational state. The distributed and tamper-resistant ledger of blockchain technology renders it well-suited for maintaining an open and immutable record of data and events pertaining to smart lighting systems. The integration of blockchain technology and anomaly detection techniques enables the establishment of a resilient and reliable smart lighting system. The primary objective of this study is to investigate the application of the Isolation Forest algorithm for anomaly detection and its enhancement through the implementation of Proof of Stake for enhanced security measures. The Isolation Forest algorithm is utilized for anomaly prediction and evaluation of accuracy and precision. This is achieved by employing synthetic ground truth labels. Subsequently, the non-anomalous data is incorporated into the system as blocks using blockchain technology. The experimentation involves the use of synthetic numerical data derived from a dataset accessible on Kaggle. This process is conducted in two distinct phases. The first phase focuses on the analysis of synthetic numerical data, specifically targeting the identification of anomalies, prior to the implementation of blockchain technology. In the second phase, the same technique is applied to the synthetic numerical data following the integration of blockchain technology. Various machine learning (ML) models were utilized to analyze the data, resulting in improved accuracy from 48% to 94%, as evidenced by the validation of the obtained results. The empirical results indicate that the utilization of blockchain technology in data processing leads to an improvement in accuracy. Furthermore, the random forest algorithm exhibits robust performance when integrated with blockchain technology.</p>

Exploring IoT Integration for Innovative Advancements in Civil Engineering

Civil engineering developments have allocation with the recent trends of integration with IoT technologies and devices. This technology significantly improves automation and remote monitoring for various tasks in the construction process, building maintenance and safety, allowing operators to remain remote free ever than before. IoT is simply the connection of several devices to the internet as per the need. The real implication of IoT is beyond and complex than this. The IoT is meant to signify the establishment of entire networks of devices which are connected to the internet and with each other. Various sensors and monitors recognize the conditions, communicate them to online network or app, and transmit relevant information to your phone automatically. Internet of Things (IoT) is the technology that transforming construction industries, automate processes, and improves construction area and other relevant fields in civil like Global Positioning System (GPS), Water Resources Management and Water Supply, Smart Construction, Water & Waste Water Treatment, Traffic Management and Control, Waste Management, Concrete Technology, Environmental Impact Assessment & Monitoring and Smart Lighting System. This research paper covers implementation of IoT in all these fields of civil engineering and updating the current scenario. IoT is potentially used to increase the productivity, on-site safety, and operational efficiency. Through the placement of low-power sensors, managers can improve worksite visibility at every stage of a project in realtime, from planning to construction, and even task post-construction. The construction industry is bringing real-time information into processes that are long-standing. Internet of Things (IoT) devices and sensors are collecting job site data in a more affordable, efficient and effective way than can ever previously imagined. This latest technology represents exciting hikes forward in the civil engineering world. Foremost principles among these are integrated in this study for Internet of Things with the world of civil engineering.

Design of a Smart Lighting System Based on Sensor Integration and Automation

As a crucial application of modern technology, smart lighting systems are transforming our interaction with the living environment. The key lies in utilizing advanced sensor technology to maximize lighting efficiency and conserve energy. This paper focuses on designing a sensor-based lighting control system that integrates Passive Infrared and light intensity sensors for the automated management of environmental lighting. Our research has extensively explored the integrated application of PIR and light-intensity sensors. The design aims to automatically adjust indoor lighting based on environmental light conditions and the presence or absence of occupants to enhance comfort and energy efficiency. The sensor fusion algorithm was optimized through a series of experiments to improve detection accuracy and effective energy utilization. Based on the design analysis, the system can significantly enhance energy savings by reducing unnecessary lighting without compromising occupant comfort. The system’s design also considers rooms of varying sizes and layouts, demonstrating good adaptability and versatility. The significance of this research lies in providing innovative solutions for the smart lighting domain. By enhancing the intelligence and responsiveness of lighting systems in home and commercial environments, our design offers a more intuitive and energy-efficient lighting experience. It paves the way for future developments and innovations in lighting systems. This work highlights the immense potential of sensor-based systems in creating interactive and adaptive environments suitable for diverse settings such as homes, corridors, and underground garages.

Smart Lighting Systems for Library Cubicles and Book Racks in Academic Libraries: A Review

Smart Lighting Systems for Library Cubicles and Book Racks in Academic Libraries: A Review

A TRIZ Approach for Designing a Smart Lighting and Control System for Classrooms Based on Counter Application with Dual PIR Sensors.

Electrical energy is often wasted through human negligence when people do not switch off electrical appliances such as lighting after leaving a place. Such a scenario often happens in a classroom when the last person leaves the class and forgets to switch off the electrical appliances. Such wastage may not be able to be afforded by schools that are limited financially. Therefore, this research proposed a simple and cost-effective system that can analyze whether there is or is not a human presence in the classroom by applying a counter to count the total number of people entering and leaving the classroom based on the sensing signals of a set of dual PIR sensors only and then correlating this to automatically turn on or off the electrical appliances mentioned. The total number of people identified in the classroom is also displayed on an LCD screen. A TRIZ approach is used to support the ideation of the system. The system can switch on several electrical output loads simultaneously when the presence of people is detected and switch them off when there are no people in the classroom. The proposed system can be expanded to be used in homes, offices, and buildings to prevent the high cost of electricity consumption caused by the negligence of people. This enables smarter control of electricity consumption.

The Influence of the Public Lighting Environment on Local Residents’ Subjective Assessment

Sustainable development and energy savings are crucial to the significant worldwide trend in smart city-related research and projects. In this regard, public lighting systems have great energy-saving potential. Nevertheless, while citizen engagement is a key element of most conceptualisations of smart cities, many smart lighting projects and systems fail to take account of the citizen’s viewpoint. Applying a citizen-centric lighting design model, the objective of this study is to examine the affective impressions of local residents of the luminous environments in their areas, taking account of the activities they carry out there. Kansei Engineering is employed to connect luminous design elements with citizens’ affective responses. Lighting environments in 18 urban spaces were evaluated by 310 local residents. The results show that subjective assessments in the evaluation of urban lighting environments can be explained by the following dimensions: Expressive-interesting, Innovative-efficient, Defined-sufficient, Formal-uniform and Glaring. The relationship of these dimensions to urban social activities shows that public lighting should generate, in local residents, sensations consistent with the nature of the activities. Urban lighting must create in the citizen a feeling of innovation (being up-to-date and contemporary) if it is to be seen as energy-saving and caring for the environment. These findings may be valuable for governments, architects, engineers, and lighting designers when developing strategies to ensure their designs are evaluated as being efficient, sustainable, and environmentally friendly.

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify the brightness, color, and timing of their lights. In this study, we aimed to enhance the energy efficiency of smart lighting systems by using light source data. A multifaceted approach was employed, involving the following three scenarios: sensing device, daylight data, and a combination of both. A low-cost sensor and third-party API were used for data collection, and a prototype application was developed for real-time monitoring. The results showed that combining sensor and daylight data effectively reduced energy consumption, and the rule-based algorithm further optimized energy usage. The prototype application provided real-time monitoring and actionable insights, thus contributing to overall energy optimization.

Addressing pollution challenges for enterprises under diverse extreme climate conditions: artificial intelligence-driven experience and policy support of top Chinese enterprises.

This study investigates the experiences of leading Chinese companies in environmental conservation under varying extreme climate conditions, focusing on the role of artificial intelligence (AI) and governmental assistance. A survey was conducted involving 200 participants to assess recognition and endorsement of AI's role in environmental protection and to explore the adoption of AI technologies by firms for enhancing environmental management practices. The survey revealed widespread recognition of Tencent's green initiatives and strong support for AI's role in environmental protection. Many firms are considering adopting AI technologies to optimize energy management, deploy intelligent HVAC systems, and improve the operations of data centers and smart lighting systems. The findings highlight a strong belief in AI's potential to advance environmental protection efforts, with a call for increased governmental support to foster this development. The study underscores the importance of a partnership between businesses and governments to leverage AI for environmental sustainability, contributing significantly to conservation efforts.

The Future of Smart Buildings: Integration of IoT in Construction Engineering

Internet of Things isn’t always approximately about the things themselves; it’s approximately being clever. IoT is real and helpful because of its ability to apply intelligence to sense facts, especially in the context of construction engineering. A smart building’s architecture is a great place to start as IoT is reshaping every aspect of a building, from design to occupancy to maintenance. The experience of workers, control, and tenants is being optimized through the use of IoT data to inform decision-making. Better facilities may simplify corporate processes and increase revenue in smarter homes. The goal of intelligent houses is sustainability. There are several methods for automating tasks with the Internet of Things. It is necessary to address every single facet of the building architecture. This article discusses the problems and technologies of IoT-based smart building architecture. The Internet of Things (IoT) and embedded systems provide the foundation of the “Smart Building” idea. Together with smart lighting in smart buildings and seismic detection, the model that is being shown has several features. When the smart lighting system turns on and off, it is determined by the amount of natural light available and the presence of people within the building. In order to reduce the amount of maintenance needed, smart dustbins that open up when they sense a person are available. Watering systems that are designed to measure the moisture content of the soil are extremely useful for the maintenance of lawns. A seismic activity detection module allows for early warnings of earthquakes and other seismic activity that may occur in the future. It has been successfully developed a smart building concept that uses Arduino and a cloud server to analyze the data gathered from the smart building.

Research on the Application of Smart Lighting Systems in Aging-Adaptive Spaces

Research on the Application of Smart Lighting Systems in Aging-Adaptive Spaces