Lighting System Research Articles

Research on the construction of low-current Airfield Groud Lighting system for civil airports in China

Abstract The 2.8A to 6.6A power supply method is widely used in Airfield Groud Lighting (AGL) system at present. This power supply method is formulated based on the luminous characteristics of halogen lamps. Although The LED light fixtures significantly reduce the energy consumption of the lamps, the energy-saving effect for the entire AGL system is not ideal, mainly due to the high current of the power supply circuit and the high loss of the circuit itself. Through the classification of low-current AGL system, this article proposes a low-current implementation method suitable for China’s civil aviation. For low-current AGL system, which cannot meet existing civil aviation industry standards and specifications in China’s civil airports, through analyzing the differences between low-current AGL system and existing 6.6A power supply systems in design requirements, implementation and construction, operation and maintenance, as well as existing technical specifications, Propose low Specific requirements for the application of current-assisted AGL system, and propose energy-saving retrofit technical solutions based on the characteristics of AGL projects, laying the foundation for the application of low-current AGL system in Chinese civil airports.

Research and Application of Intelligent Pedestrian Traffic Light System

This study aims to develop an intelligent pedestrian traffic light system that utilizes artificial intelligence and visual learning technology to optimize the intelligent management of traffic lights, in order to improve traffic efficiency, reduce traffic congestion, reduce the incidence of traffic accidents, and provide people with a safer and more convenient travel environment. The research team uses high-definition cameras to capture pedestrians and vehicles in real-time, and uses computer vision technology for pedestrian and vehicle detection and feature extraction. Through age classification and feature extraction, a population transit time model was constructed, and the model was optimized to improve prediction accuracy. The model was applied to traffic management for decision-making. In addition, the research also involves traffic flow analysis and real-time adjustment mechanisms, as well as the construction and application of pedestrian and vehicle models. Discover traffic patterns through data mining techniques and develop corresponding traffic management strategies. The construction and optimization adjustments of the predictive model support the implementation of the decision control model, which is based on data-driven and algorithmic optimization. The effectiveness of the model has been verified through simulation experiments and on-site testing. Finally, machine learning was used to recognize pedestrians, vehicles, and movement directions, and deep learning was applied to construct a prediction model, achieving intelligent control of pedestrian traffic lights.

Research and Application of Intelligent Pedestrian Traffic Light System

This study aims to develop an intelligent pedestrian traffic light system that utilizes artificial intelligence and visual learning technology to optimize the intelligent management of traffic lights, in order to improve traffic efficiency, reduce traffic congestion, reduce the incidence of traffic accidents, and provide people with a safer and more convenient travel environment. The research team uses high-definition cameras to capture pedestrians and vehicles in real-time, and uses computer vision technology for pedestrian and vehicle detection and feature extraction. Through age classification and feature extraction, a population transit time model was constructed, and the model was optimized to improve prediction accuracy. The model was applied to traffic management for decision-making. In addition, the research also involves traffic flow analysis and real-time adjustment mechanisms, as well as the construction and application of pedestrian and vehicle models. Discover traffic patterns through data mining techniques and develop corresponding traffic management strategies. The construction and optimization adjustments of the predictive model support the implementation of the decision control model, which is based on data-driven and algorithmic optimization. The effectiveness of the model has been verified through simulation experiments and on-site testing. Finally, machine learning was used to recognize pedestrians, vehicles, and movement directions, and deep learning was applied to construct a prediction model, achieving intelligent control of pedestrian traffic lights.

Design and development of an intelligent zone based master electronic control unit for power optimization in electric vehicles

The development of electric vehicles (EVs) has been incremental because EVs satisfy a significant demand for energy sources. Electronic control unit (ECU) is an important component that processes the electric signals received from various sensors for generating the control signals for the actuators. Automotive control systems were initially operated manually throughout the automotive revolution based on the responses of input signals received from ECUs and drivers. Most of the functions in EV are controlled by the ECU and every ECU consumes power at all times even if it is not in use. The larger power consumption of passive ECUs like adaptive lighting systems (ALS), automatic wiper systems (AWS) brake light systems (BLS), etc., affect the life of ECUs and the range of EVs. This article is primarily concerned with limiting power consumption by switching the power supply to the passive ECUs based on their requirements. Hence, to achieve the objective, the intelligent zone (i-zone) based master ECU is triggered to activate the slave ECUs. Designing suites including Proteus and KiCAD were used for designing the circuits including master as well as slave ECU. This prototype is built using three secondary ECUs such as ALS & AWS and BLS which are controlled using i-zone-based master ECU. The performance of this implemented design is evaluated, and it is discovered that almost 40% of the battery consumption is reduced. This i-zone-based master ECU and all its slave ECUs manage power while ensuring the safety and reliability of EVs.

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.

Reconfigurable MIMO-based self-powered battery-less light communication system

Simultaneous lightwave information and power transfer (SLIPT), co-existing with optical wireless communication, holds an enormous potential to provide continuous charging to remote Internet of Things (IoT) devices while ensuring connectivity. Combining SLIPT with an omnidirectional receiver, we can leverage a higher power budget while maintaining a stable connection, a major challenge for optical wireless communication systems. Here, we design a multiplexed SLIPT-based system comprising an array of photodetectors (PDs) arranged in a 3 × 3 configuration. The system enables decoding information from multiple light beams while simultaneously harvesting energy. The PDs can swiftly switch between photoconductive and photovoltaic modes to maximize information transfer rates and provide on-demand energy harvesting. Additionally, we investigated the ability to decode information and harvest energy with a particular quadrant set of PDs from the array, allowing beam tracking and spatial diversity. The design was explored in a smaller version for higher data rates and a bigger one for higher power harvesting. We report a self-powering device that can achieve a gross data rate of 25.7 Mbps from a single-input single-output (SISO) and an 85.2 Mbps net data rate in a multiple-input multiple-output (MIMO) configuration. Under a standard AMT1.5 illumination, the device can harvest up to 87.33 mW, around twice the power needed to maintain the entire system. Our work paves the way for deploying autonomous IoT devices in harsh environments and their potential use in space applications.

Enhancing Leafy Greens’ Production: Nutrient Film Technique Systems and Automation in Container-Based Vertical Farming

Urban agriculture has emerged as a crucial strategy to address food security and sustainability challenges, particularly in densely populated areas. This study focused on enhancing leafy greens’ production, specifically lettuce (Lactuca sativa L.) and arugula or rocket (Eruca sativa L.), using Nutrient Film Technique (NFT) systems and automation in container-based vertical farming. The study utilized a 20-foot shipping container retrofitted to create a thermally insulated and automated growth environment equipped with energy-efficient LED lighting and precise climate control systems. The results demonstrated significant improvements in crop yields, with the NFT systems achieving productivity up to 11 times higher than traditional methods in protected horticulture. These systems enabled continuous cultivation cycles, responding to the high market demand for fresh local produce. Moreover, the integration of low-cost sensors and automation technologies, each costing under USD 300, ensured that the environmental conditions were consistently optimal, highlighting this approach’s economic feasibility and scalability. This low-cost framework aligns with industry standards for affordable technology, making it accessible for small- to medium-sized urban agriculture enterprises. This study underscores the potential of vertical farming as a sustainable solution for urban food production. It provides a model that can be replicated and scaled to meet the growing demand for healthy, locally grown vegetables.

Integration Assessment of Renewable Energy Sources (RESs) and Hydrogen Technologies in Fish Farms: A Techno-Economical Model Dispatch for an Estonian Fish Farm

A fundamental aspect of fish farms is their energy consumption, which is essential for various activities like water supply, pool aeration, thermal conditioning, lighting, filtration, and recirculation systems. Due to volatile prices and rising energy use, costs have surged, requiring energy-optimization solutions for economic viability and pollution reduction. In this context, this study aims to evaluate renewable energy integration in these installations based on real data, assessing current operations, proposing renewable energy optimization, and exploring hydrogen systems for energy needs, using HOMER PRO® to analyze different scenarios. For this purpose, it targets a rainbow trout farm in Estonia, and by simulating the various hybrid configurations proposed, it aims to optimize its energy production and storage, ensuring feasibility and technical integration. The results of the simulations primarily demonstrate the potential for using the byproduct of electrolysis to cover the oxygen demand in these types of processes, reducing the demand for raw materials. Additionally, it is observed that storage enhances performance in isolated systems; however, the economically viable integration of hydrogen technology requires three assumptions: a regulatory framework allowing surplus energy sales to the grid, an existing infrastructure for hydrogen trading, and high energy purchase prices.

Glare Reduction of the Artificial Lighting System Using the Digital Software Solution

Artificial lighting systems are an integral part of production halls. These systems are typically used to supplement daylight, although in some cases they are the sole source of lighting in the workplace. Every artificial lighting system is accompanied by an unfavourable phenomenon: glare. This phenomenon is one of the main factors affecting the quantitative parameters of internal lighting systems. Glare needs to be reduced in each production area to ensure visual well-being, which is linked to the visual performance of employees and consequently affects the efficiency and productivity of production. Obtaining information about glare in a real system is a difficult and lengthy process. However, digital software tools can be used in a simulated environment to predict and reduce glare. This article addresses the issue of reducing glare in artificial lighting systems using a digital software solution. The introduction discusses the theoretical aspects of glare caused by artificial lighting systems. This is followed by a practical example using the simulation method with the Dialux Evo tool to reduce glare in the workplace. The conclusion of the article provides an analysis of the results achieved and offers recommendations for practical implementation.

SANITASI RUMAH IBADAH (MASJID) DAN PERILAKU MARBOT MASJID DI KOTA TANJUNGPINANG

It is commonly found that the mosque’s sanitation problems still do not health requirements, for instance, prayer mats are not properly maintained, limited water supply, slippery mossy floor, the absence of water closet, inadequate ventilation and lighting system. The conducted preliminary survey showed that the sanitation condition of the mosque stayed under minimum standard such as scattered garbage in the ditch, inadequate quantity of covered bin, yellowish spots on the ceiling surface, etc. The purpose of this study is to portray the sanitation system of the observed mosques and the behavior of the mosques’ Marbots in Tanjungpinang City. This research is a descriptive survey by conducting observations and interviews, in accordance with Keputusan Menteri Kesehatan Number 288 Year 2003, with 184 of the number of the population, and the number of samples is 65 that were chosen using stratified random sampling technique. The results show that there were 65 (100%) mosques that met the requirement of the condition of the environment and the mosque’s utility, the sanitation system standard was fulfilled by 54 mosques (83,1%), and there were 5 marbots (7,7%) who had good behavior. Hence, it is necessary that the marbots of the mosques might improve their behavior related to the mosques’ sanitation.

Navigating the Path to inclusive Education in Primary Schools in Arusha Region, Tanzania: A Descriptive-Correlational Study on Key Implementation Factors

This study navigated the path to inclusive education in primary schools in Arusha Region, Tanzania. The study used the descriptive correlational design. Out of the population of 14,881 stakeholders, the study had the sample size was 1,163 subject including 370 mainstream pupils, 278 mainstream teachers, 346 special needs learners and 169 special needs teachers. Sources of data were a questionnaire, an interview schedule, an observation schedule and Focus Group Discussions. Data analysis involved the thematic approach, descriptive statistics and regression analysis. While the running of inclusive education requires supporting tools and infrastructure, the schools did not have sufficient infrastructure and science and technology facilities to support the inclusive learning atmosphere. While primary schools had suitable classrooms, toilets, and playing grounds, the lighting, ventilation, and sound system were limited in quality. Based on the conclusions, the established shortcomings in infrastructure and technological equipment call for the school budget to include special education requirements. Finally, there is a need for schools to propagate appropriate cultural norms that cherish the value of humanity for both teachers and learners to respect special needs learners, providing necessary support for special needs learners to study comfortably without any discrimination.

Adaptive and dynamic smart traffic light system for efficient management of regular and emergency vehicles at city intersection

Adaptive and dynamic smart traffic light system for efficient management of regular and emergency vehicles at city intersection

Localized Control of the Swarming of Kinesin-Driven Microtubules Using Light.

The swarming of self-propelled cytoskeletal filaments has emerged as a new aspect in the field of molecular machines or robotics, as it has overcome one of the major challenges of controlling the mutual interaction of a large number of individuals at a time. Recently, we reported on the photoregulated swarming of kinesin-driven cytoskeletal microtubule filaments in which visible (VIS) and ultraviolet (UV) light triggered the association and dissociation of the swarm, respectively. However, systematic control of this potential system has yet to be achieved to optimize swarming for further applications in molecular machines or robotics. Here, we demonstrate the precise and localized control of a biomolecular motor-based swarm system by varying different parameters related to photoirradiation. We control the reversibility of the swarming by changing the wavelength or intensity of light and the number of azobenzenes in DNA. In addition, we regulate the swarming in local regions by introducing different-sized or shaped patterns in the UV light system. Such a detailed study of the precise control of swarming would provide new perspectives for developing a molecular swarm system for further applications in engineering systems.

Feasibility of a Novel Lighting System to Reduce Nighttime Falls in Assisted Living Residents With Dementia

ObjectivesTo determine the feasibility of conducting a trial of a novel nighttime lighting system designed to support postural stability in assisted living (AL) residents, and to estimate intervention effectiveness by comparing the incidence of nighttime falls during the novel lighting condition to that in a control condition featuring a standard nightlight. DesignRandomized crossover trial. The intervention consisted of 3 custom-designed linear arrays of amber light-emitting diodes (LEDs) arranged in strips: 1 strip aligned horizontally across the top of the bathroom/entry doorframe containing 68 LEDs and 2 strips of 140 LEDs each aligned vertically down the sides of the doorframe. The control condition was 1 standard nightlight in the bedroom and 1 in the bathroom. Residents were randomized to treatment sequences, receiving each condition for 1-2 quarters. Setting and ParticipantsFive AL communities serving exclusively residents with dementia or having separate units for residents with dementia, with at least 30 beds and at least 5 residents in private rooms. Residents were eligible if they had dementia, were ambulatory, did not share a bedroom, were not on hospice or expected to die within the year, and were not expected to transfer to another setting within the year. MethodsOutcomes included recruitment, retention, incident falls, and satisfaction. ResultsThirty-eight residents of the 5 communities participated (56% recruitment rate), and 24 family members completed surveys about their satisfaction with the lighting system. Cameras captured falls data for 92% of 8591 resident nights. The incidence density for falls was 34% lower in the intervention condition than the control condition (incidence density ratio 0.66, 95% CI 0.35, 1.22), which did not reach statistical significance (P = .18). Conclusions and ImplicationsThis low-cost intervention was feasible with high satisfaction. Building on these results, the intervention is being evaluated in a larger clinical trial. A novel lighting system to reduce falls could ultimately benefit millions of older adults across all settings.

The application of direct ridership models in the evaluation of the expansion of the Porto Light Rail Transit

The main purpose of this paper is to show how a direct demand ride model coupled with a transfer model was able to support the choice of alternative routes for the expansion of the light rail system serving the Porto Metropolitan Area. After an overview of the literature on direct ridership models, emphasizing some key issues such as the need for a systematic assessment of their forecasting performance, the issues related to the definition of the pedestrian catchment area and the limitations of the simultaneous consideration of demand and supply effects, the paper moves into the case study, providing some background information on current occupation densities, land uses and mobility patterns, as well as on the performance of the existing LRT in the Metropolitan Area of Porto. The development of the direct ridership model, measuring the potential attractiveness of each station, and the transfer model, measuring the number of transfers at each station, are presented in detail. A justification is provided why, in this case, a two-step modelling approach was necessary. Further details about the statistical tests for model validation are also provided. After a brief characterization of the alternative routes under analysis for the expansion of the network, the modelling results are presented enabling a comparative assessment of the potential performance of each proposed route. The paper ends with a discussion of the relevance of this modelling results vis a vis the actual final decisions on investment priorities taken jointly by the Metropolitan Council and the Metro Company.

Effective green building design assessment support using sequential multidisciplinary design optimization

Green building (GB) represents a leading approach for promoting sustainable development, reducing environmental impact, and ensuring environmental responsibility across its entire life cycle. Many countries have recently developed rating systems and certification programs for GBs. Traditional GB assessment is conducted through manual and iterative procedures that entail numerous meetings and trials. Architects and engineers must thoroughly assess the interdependence of design variables to ensure compliance with assessment standards for feasible solutions in GB projects. This process could be complicated and error-prone, leading to potential cost implications. Therefore, there is a need to develop design support systems to generate feasible solutions for GBs effectively. This paper introduces an integrated assessment system for GB designs, employing a multidisciplinary design optimization (MDO) methodology to efficiently generate solutions across various disciplines, adhering to assessment standards. Practical cases in Taiwan have been employed to assess and confirm the efficiency and effectiveness of the proposed system concerning the design of building envelopes, air-conditioning systems, and artificial lighting systems. The primary advantages of the system include the rapid generation of multiple alternatives and the reduction of iterations in GB assessment by providing conflict-free solutions across various disciplines. The proposed system also offers estimated construction costs for each alternative. Designers can further explore the most cost-effective solutions through value analysis. This information can assist investors in making informed decisions. The proposed design support system shows great potential in accelerating the design process for green buildings by offering conflict-free alternatives and value-added information.

A wide voltage range non‐isolated continuous input buck‐boost converter for optimal green energy harvesting in LED lighting systems

A wide voltage range non‐isolated continuous input buck‐boost converter for optimal green energy harvesting in LED lighting systems

Strong absorption of silica over full solar spectrum boosted by interfacial junctions and light–heat–storage of Mg(OH)2–(CrOx–SiO2)

Strong absorption of near-infrared (NIR) light is essential for efficient solar energy applications. NIR absorption primarily depends on the surface plasmon resonance of incident light with free charge carriers (FCCs). We demonstrated that S-scheme interfacial junctions (IJs) can substantially enhance FCC density, light-harvesting, photocurrent intensity, long lifetime of the charge carriers and photothermal effects, paving a way for novel light-material design. Abundant S–scheme IJs are constructed in CrOx–SiO2 nanoparticles, which increase the FCCs outstandingly and enhance light absorption exceptionally over the entire solar spectrum. IJs’ construction enables silica to harvest solar energy strongly. Doped with multifunctional CrOx–SiO2 nanoparticles, the photothermal-dehydration conversion and the stored heat of Mg(OH)2 can be improved by 7.0- and 5.1-times upon 30-min irradiation, respectively. The reversibility of the photothermal charge–discharge cycles of Mg(OH)2 improves 19.3 times. The thermal-storage kinetics is substantially improved owing to the reduction of the dehydration activation energy (−15.2 %). Mg(OH)2–CrOx–SiO2 composite is an excellent one-step system of light–heat–storage.

Transparent Silica Aerogels: Optical and Chemical Design, Controlled Synthesis, and Emerging Applications.

Transparent silica aerogel, serving as one typical porous and transparent material, possesses various unique features (e. g., large amounts of pores and interfaces, super-lightweight, super thermal insulation, low refractive index similar to gas), and it has attracted great attention in the fields of science, technology, engineering, art, and others. Transparency is one important evaluation index of transparent silica aerogel, and it was influenced by various factors such as raw materials, sol-gel reactions, phase separation, and drying methods. The structure design and fabrication of transparent silica aerogel is one huge and fine engineering. In this review, the optical/chemical guidance and design for the preparation of transparent silica aerogels are discussed, and typical applications, such as Cherenkov detectors, solar energy collection, lighting systems, and transparent fabric, were also discussed. Finally, a future outlook on the opportunities and challenges of transparent silica aerogels was proposed.

Monitoring of the insulation resistance in the power supply system of the aerodrome ground lights

Monitoring of the insulation resistance in the power supply system of the aerodrome ground lights