A REAL-TIME INTEGRATIVE LIGHTING SYSTEM FRAMEWORK BASED ON MACHINE LEARNING

2021 ◽  
Author(s):  
D. Durmus
Keyword(s):  
Decision Making ◽  
Evolutionary Algorithms ◽  
Real Time ◽  
Initial Conditions ◽  
Large Data ◽  
Psychological Needs ◽  
Lighting System ◽  
Smart Lighting ◽  
Lighting Systems ◽  
Human Factors Research

Smart lighting systems are based on sensors and tunable lighting systems are increasingly more prevalent, but collecting, analysing, and using the large data generated by these sensors are challenging. Inspired by research on evolutionary algorithms, it can be hypothesized that an adaptive lighting system can operate in real-time by adjusting its output through a decision-making algorithm based on data mining techniques. Such an adaptive lighting system requires two-order input from users; initial and continual. Initial conditions provide training to the system through human factors research investigating the interaction between humans and their environment. Continual conditions are provided by data collected through sensors in real-time, and they continuously feed into the decision-making algorithm to adjust the output to meet occupants’ biological and psychological needs. Research indicates that artificial intelligence techniques, such as evolutionary algorithms, can emerge as good candidates for this framework.

A real-time data mining framework for adaptive lighting systems

2020 ◽  
Author(s):  
Dorukalp Durmus
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Real Time ◽  
Lighting System ◽  
Time Data ◽  
Data Mining Techniques ◽  
Real Time Data ◽  
Lighting Systems

An adaptive lighting system can operate in real-time by adjusting its output through a decision-making algorithm based on data mining techniques.

scholarly journals A real-time data mining framework for adaptive lighting systems

2020 ◽  
Author(s):  
Dorukalp Durmus
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Real Time ◽  
Lighting System ◽  
Time Data ◽  
Data Mining Techniques ◽  
Real Time Data ◽  
Lighting Systems

An adaptive lighting system can operate in real-time by adjusting its output through a decision-making algorithm based on data mining techniques.

Real-time simulation of smart lighting system in smart city

2019 ◽  
Vol 9 (2) ◽  
pp. 90
Author(s):  
Tayyaba Tariq ◽  
Muhammad Farhan ◽  
Rana M. Amir Latif ◽  
Laiqa Binte Imran
Keyword(s):  
Real Time ◽  
Smart City ◽  
Lighting System ◽  
Real Time Simulation ◽  
Smart Lighting ◽  
Time Simulation

scholarly journals Real-Time Sensing and Control of Integrative Horticultural Lighting Systems

J ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 266-274 ◽  
Author(s):  
Dorukalp Durmus
Keyword(s):  
Real Time ◽  
Spectral Distribution ◽  
Optical Radiation ◽  
Environmental Changes ◽  
Light Sources ◽  
Structural Development ◽  
Lighting System ◽  
Active Feedback ◽  
Lighting Systems ◽  
Physiological Markers

Optical radiation, including light, plays a crucial role in the structural development of plants through photomorphogenesis and the response to environmental changes. However, plant sensitivity to optical radiation widely varies across species. While research efforts are currently underway to discover the fundamentals of plant physiology, light sources with preprogrammed light settings (light recipes) are offered to clients to expedite plant growth. Since horticultural lighting research is in its infancy, prescribed lighting conditions are not likely to address every plants’ needs in terms of the spatial and spectral distribution, intensity, and duration of the light sources. However, it is possible to imagine an intelligent horticultural lighting system that can diagnose plants through sensors, and adjust the light intensity, the spatial and spectral distribution for the specific plant species with active feedback. Such an advanced real-time horticultural lighting system would consist of sensors to detect physiological markers from plants and environmental factors and an artificial intelligence algorithm to adjust the output. While the underlying technology for a real-time optimization system exists, the implementation and training would require further research.

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

2020 ◽  
Vol 17 (4) ◽  
pp. 1217
Author(s):  
Baoshi Sun ◽  
Qiaoli Zhang ◽  
Shi Cao
Keyword(s):  
Student Performance ◽  
Light Emitting Diode ◽  
Environmental Parameters ◽  
Environmental Data ◽  
Color Temperature ◽  
Lighting System ◽  
Learning Context ◽  
Led Lighting ◽  
Smart Lighting ◽  
Lighting Systems

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.

Smart Control for Wireless Indoor Lighting System Based on ZigBee Technology

2014 ◽  
Vol 898 ◽  
pp. 792-796
Author(s):  
Dan Liu ◽  
Hong Yu
Keyword(s):  
Light Intensity ◽  
Real Time ◽  
Pulse Width Modulation ◽  
Low Cost ◽  
Lighting System ◽  
Smart Lighting ◽  
Zigbee Technology ◽  
Smart Control ◽  
Time Parameters ◽  
Indoor Lighting

ZigBee is a kind of low rate, low cost and low power technology to be used in cheap, fixed, portable and mobile devices in wireless sensor network. The wireless smart indoor lighting system based on ZigBee technology uses the chip CC2530 as the core. It can collect the light intensity signals of LEDs in real time; perform pulse width modulation (PWM) and wireless communications. The system can also display these parameters on a personal computer such as temperature, light intensity and so on. Even the real-time parameters may be transmitted to the mobile phone to monitor. As a result of the indoor tests that have been conducted, the smart lighting system is more humanized, safe and energy-efficient.

scholarly journals Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 527
Author(s):  
Babak Zandi ◽  
Adrian Eissfeldt ◽  
Alexander Herzog ◽  
Tran Quoc Khanh
Keyword(s):  
Visual Pathway ◽  
Theoretical Concept ◽  
Lighting System ◽  
Case Scenario ◽  
Legal Requirements ◽  
Smart Lighting ◽  
Chromaticity Coordinates ◽  
Lighting Systems ◽  
Indoor Lighting ◽  
Planckian Locus

Modern indoor lighting faces the challenge of finding an appropriate balance between energy consumption, legal requirements, visual performance, and the circadian effectiveness of a spectrum. Multi-channel LED luminaires have the option of keeping image-forming metrics steady while varying the melanopic radiance through metamer spectra for non-visual purposes. Here, we propose the theoretical concept of an automated smart lighting system that is designed to satisfy the user’s visual preference through neural networks while triggering the non-visual pathway via metamers. To quantify the melanopic limits of metamers at a steady chromaticity point, we have used 561 chromaticity coordinates along the Planckian locus (2700 K to 7443 K, ±Duv 0 to 0.048) as optimisation targets and generated the spectra by using a 6-channel, 8-channel, and 11-channel LED combination at three different luminance levels. We have found that in a best-case scenario, the melanopic radiance can be varied up to 65% while keeping the chromaticity coordinates constant (Δu′v′≤7.05×10−5) by using metamer spectra. The highest melanopic metamer contrast can be reached near the Planckian locus between 3292 and 4717 K within a Duv range of −0.009 to 0.006. Additionally, we publish over 1.2 million optimised spectra generated by multichannel LED luminaires as an open-source dataset along with this work.

scholarly journals Smart Lighting Application for Energy Saving and User Well-Being in the Residential Environment

2021 ◽  
Vol 13 (11) ◽  
pp. 6198
Author(s):  
Moe Soheilian ◽  
Géza Fischl ◽  
Myriam Aries
Keyword(s):  
Literature Review ◽  
Energy Saving ◽  
Well Being ◽  
Residential Environment ◽  
Controlled Environment ◽  
Lighting System ◽  
Smart Lighting ◽  
Residential Environments ◽  
Lighting Systems ◽  
Lighting Application

The idea of smart lighting has emerged over the years in commercial and industrial environments, with a focus on energy saving. With the advancement in technology, smart lighting can now offer opportunities in addition to energy saving to users in home environments for the provision of a comfortable atmosphere and the maintenance of user well-being. Currently, research in the smart lighting field is predominantly dedicated to energy saving in non-residential environments; meanwhile, the residential environments have not been explored. Therefore, a literature review was conducted to provide an overview of smart lighting systems’ effect on energy and well-being in the residential environment. Current research is mostly limited to designing and developing a smart lighting system in a controlled environment, with a limited evaluation of well-being and comfort. The review shows that residential smart lighting application possibilities and opportunities are not widely and thoroughly explored.

scholarly journals A Multi-Period Approach for the Optimal Energy Retrofit Planning of Street Lighting Systems

2019 ◽  
Vol 9 (5) ◽  
pp. 1025 ◽  
Author(s):  
Raffaele Carli ◽  
Mariagrazia Dotoli ◽  
Roberta Pellegrino
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Energy Savings ◽  
Lighting System ◽  
Financial Benefit ◽  
Street Lighting ◽  
Single Period ◽  
Lighting Energy ◽  
Lighting Systems ◽  
The City

Investing in the optimal measures for improving the energy efficiency of urban street lighting systems has become strategic for the economic, technological and social development of cities. The decision-making process for the selection of the optimal set of interventions is not so straightforward. Several criticalities-such as difficulties getting access to credit for companies involved in street lighting systems refurbishment, budget constraints of municipalities, and unawareness of the actual energy and economic performance after a retrofitting intervention-require a decision-making approach that supports the city energy manager in selecting the optimal street lighting energy efficiency retrofitting solution while looking not only based on the available budget, but also based on the future savings in energy expenditures. In this context, the purpose of our research is to develop an effective decision-making model supporting the optimal multi-period planning of the street lighting energy efficiency retrofitting, which proves to be more effective and beneficial than the classical single-period approach and has never before been applied to the considered public lighting system context. The proposed methodology is applied to a real street lighting system in the city of Bari, Italy, showing the energy savings and financial benefit obtained through the proposed method. Numerical experiments are used to investigate and quantify the effects of using a multi-period planning approach instead of a single-period approach.

scholarly journals ICT Driven Smart Lighting Solution “iLIGHT” for Smart Cities: A Conceptual Framework

2021 ◽  
pp. 78-95
Author(s):  
Dipak S. Gade
Keyword(s):  
Data Analysis ◽  
Power Consumption ◽  
Smart City ◽  
Smart Cities ◽  
Smart Devices ◽  
Lighting System ◽  
Research Papers ◽  
Smart Lighting ◽  
New Findings ◽  
Lighting Systems

Purpose: Smart Cities offers enhanced quality and performance of urban services using various ICT and Digital Technologies. It is a fact that more and more people are migrating to Smart Cities for better career opportunities and to have an enjoyable and comfortable life. With the ever-increasing population, Smart Cities always need to do better capacity management to best utilize and optimize the usage of available resources. One of such challenges faced by Smart Cities is the generation of electricity to meet the increasing demand for lighting. The objective is to have an efficient as well as an economical lighting system that can provide sufficient lighting to its infrastructure facilities, offices, Smart Buildings, Smart Parks, and Public properties. In this paper, I have proposed ICT based Smart Lighting Solution "iLIGHT", which is capable of meeting the lighting need of Smart Cities in a more efficient and economical manner. The advantages and limitations of "iLIGHT" are also discussed in detail. The analytics-based test results revealed that "iLIGHT" can reduce power consumption by almost 30%. I have also provided the summary of reviewed existing literature on the lighting solutions used by Smart Cities and the advantages and limitations of these lighting solutions. I also analysed different usage scenarios for indoor and outdoor Smart Lighting Systems in Smart Cities and their typical power consumption. Finally, I have covered information with respect to my future plans on the "iLIGHT" Lighting Solution. Design/Methodology/Approach: A systematic literature review is carried out for relevant white papers, data presented over relevant websites, available research papers and conference papers on Smart Lighting System for Smart Cities. I also interacted with SMEs and Industry professionals working on this research area. The collected research material is then properly studied and analysed to identify new facts and requirements related to Smart Lighting System. Based on the new findings and data analysis results, a new Smart Lighting Solution "iLIGHT" is proposed for Smart City Smart Lighting System. Findings/Result: Smart Lighting System for Smart City is a complex system and used not only for providing efficient lighting across the Smart City but also used to interconnect various smart devices across Smart City and to provide seamless data interactions across the connected products. The Proposed "ILIGHT" Solution for Smart Lighting System in Smart City, is safe, reliable, and less expensive in design and deployment. It can offer good energy efficient Lighting System for Smart City and if used with proper configuration settings then it can be extremely fast and economical to operate and maintain. Originality/Value: The information presented in this paper with respect to proposed "iLIGHT" Solution is original and genuine and is an outcome of interactions with SMEs, Smart City stakeholders and study and analysis of various research papers in order to understand the advantages and limitations of various Smart Lighting Systems used in Smart Cities across the globe. The paper has provided new findings with respect to Smart Lighting Systems for Smart Cities, and they are completely based on own data analysis and proposed new iLIGHT Solution. Paper Type: Technology oriented Research

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