Search

Light exposure before sleep causes a reduction in the quality and duration of sleep. In order to reduce these detrimental effects of light exposure, it is important to dim the light. However, dimming the light often causes inconvenience and can lower the quality of life (QOL). We therefore aimed to develop a lighting control method for use before going to bed, in which the illuminance of lights can be ramped down with less of a subjective feeling of changes in illuminance. We performed seven experiments in a double-blind, randomized crossover design. In each experiment, we compared two lighting conditions. We examined constant illuminance, linear dimming, and three monophasic and three biphasic exponential dimming, to explore the fast and slow increases in visibility that reflect the dark adaptation of cone and rod photoreceptors in the retina, respectively. Finally, we developed a biphasic exponential dimming method termed Adaptive Light 1.0. Adaptive Light 1.0 significantly prevented the misidentification seen in constant light and effectively suppressed perceptions of the illuminance change. This novel lighting method will help to develop new intelligent lighting instruments that reduce the negative effect of light on sleep and also lower energy consumption.

Purpose Intelligent lighting control system can control lights to go off when people leave, which has been widely concerned by researchers. Design/methodology/approach In this study, an intelligent lighting control system based on wireless sensor network was designed. First, the hardware and software designs of the system were described briefly. Then, the lighting control algorithm was analyzed emphatically. Considering the illumination and uniformity of light, an intelligent lighting control algorithm based on gradient descent was designed. Findings In the system test, it was found that the system had a good through-wall communication function, and the communication distance could fully meet the system requirements and run normally. In the test of the lighting control algorithm, it was found that the user’s satisfaction on uniformity in different scenarios was close to 1, and the satisfaction on illumination could also meet the user’s needs, which verified the reliability of the lighting control algorithm. Originality/value This study provides some theoretical supports for the better application of wireless sensor network in intelligent light control system, which is conducive to the further development of light control system.

Threats Related to Light Pollution and Ways to Reduce it The natural environment can be exposed to many different types of pollution. The most frequently mentioned are air, water, soil and radioactive contamination. On the other hand, light pollution is mentioned much less frequently. Light pollution only applies to light from artificial sources. It turns out that light, in addition to its undisputable advantages and colossal significance for life, in some cases can be associated with significant threats. The purpose and premise of this publication is to show that light pollution involves a considerable threat to the natural environment, including animals and humans. However, there are ways to effectively limit this phenomenon. The paper discusses the concept of light pollution, its sources, forms and division. Particular attention has been devoted to the characterisation of the threats that it brings with regard to the natural environment, including humans. The publication also reveals examples of actions to reduce this harmful phenomenon. The article has been created using book materials, magazines, as well as information available online. The research method used in the publication is existing data analysis and literary criticism. The test results verify the premise positively.

The rapid iterative development of information technology, computer technology and Internet of things technology promotes the construction of smart city, and the related concepts of smart city gradually move from theory to practice. As an important part of the development of smart city, the intelligent lighting and intelligent control of urban lighting system become increasingly urgent with the development of the latest Internet of things technology and video image processing technology. Based on the current Internet of things data communication and related processing technology as the background, this article constructs the overall control model of smart city lighting system, including GPRS wireless transmission technology and ZigBee technology. In the core algorithm, this article innovatively presents an improved video image processing technology based on Gaussian mixture algorithm, which mainly describes the background of a specific scene in multi-dimensional model, so as to improve the reliability of the whole scene judgment. At the level of noise suppression, the video image processing algorithm proposed in this article designs interference noise suppression technology based on the principle of mean filtering, so as to achieve the accuracy and integrity of urban traffic scene extraction. In order to solve the security problems of the whole video image processing technology in information extraction, storage and analysis, this article adds the electromagnetic information leakage prevention algorithm in the video image processing technology, which mainly processes the video image at the source, so as to reduce the electromagnetic radiation of the overall information. Based on this, this article completed the construction of the software and hardware of the city intelligent lighting system. On this basis, the software and hardware construction of urban intelligent lighting system is completed. At the same time, the experiment was carried out in a small-scale scene of a city. The experimental results show that the intelligent urban lighting system based on video image processing technology is feasible and can achieve the desired effect. At the same time, the lighting energy consumption level can be reduced by about 30%, and the corresponding failure rate can be reduced by about 30%.

In view of the current problems of energy waste in China’s office lighting, lack of intelligent lighting control and single adjustment mode, based on the domestic intelligent control system, development status, current stage technology, etc., this paper proposes to adopt arduino as the main controller, combine with the infrared inductive sensor and the light sensor, the wifi network is used as the communication mode, and the delay, turn-off control and dimming functions can be automatically realized according to the detection condition of the sensor, thereby realizing the detection of the office lighting environment and the control and adjustment of the office lighting fixture. The purpose of this system is that it has the characteristics of low cost and low carbon green, which is very suitable for office environment.

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

A smart city is a city that uses information and communication technologies (ICT), smart sensors, actuators and video cameras to better support and optimize the delivery of urban services and to address challenges within city communities. A smart city collects and analyzes data from smart IoT sensors (IoT devices/nodes) and video cameras. The data collected by the sensor nodes can be used to develop applications and systems that benefit the city and the community. Smart city industry is projected to be a $400 billion market by 2021, with 600 cities around the globe expected to generate 60% of the world's GDP by 2025, according to McKinsey research. Many cities have adopted at least one smart city project. However, the majority of cities around the globe are not yet smart cities. The key hurdle is securing the huge fund needed to start a smart city project, and ensuring that there are sufficient resources to sustain the project over time. Because implementing new smart city infrastructure is a large and complex financial undertaking that poses a financial hurdle, specifically, for most of the under-developed countries, a viable and cost-effective strategy is needed to tackle this problem and conquer the digital divide. Building upon and leveraging existing infrastructure is the key to address this problem. This minimizes the cost of technology upgrades and allows for an easier integration process. In addition, leveraging existing infrastructure can give cities a better and quicker return on investment. The main objective of this work is to devise an innovative research and development initiative, which builds upon and leverages ongoing global deployment of smart city and outdoor lighting infrastructures trend, to explore the potential and assess the feasibility of gradually transitioning existing Egypt’s cities infrastructure into truly IoT-enabled smart cities. Specifically, we propose and develop an innovative cost-effective, future-proof, scalable and modular end-to-end device-to-cloud connected outdoor Lighting network infrastructure solution that is based on P2P 4G LTE cellular technology to provide the direct connectivity between lighting poles (IoT devices) and the cloud. The proposed intelligent Lighting solution includes three key building blocks:1) light pole-mounted smart control nodes; 2) cloud-based smart city software solution (NetServ) to remotely monitor, manage, and control the entire lighting infrastructure; and 3) P2P 4G LTE cellular network. In the proposed architecture, smart streetlights serve as the framework for a high- bandwidth, low-latency wireless sensor network, capable of transporting large amounts of data in real-time, while concurrently supporting deployment of a wide range of smart city services.

Using the dimming control system, it is very convenient to control the lighting brightness of the lighting circuit according to the use requirements of different scenes at different times. It not only realizes the automatic control of lighting, but also creates and beautifies the light environment of the space inside and outside the building, and reduces the energy consumption and prolongs the service life of lamps. In view of this, the lighting condition model system of exhibition hall design based on computer aided design is put forward. Based on the optimization strategy of genetic algorithm, the visual comfort condition satisfied by the quantitative design of green lighting and the quantitative method for calculating the illumination intensity of green lighting are obtained. The system adopts ZigBee wireless network to realize data transmission, wireless monitoring, control and management among nodes of intelligent lighting system. As a bridge between the terminal and the server, the system gateway is responsible for monitoring information communication between ZigBee and Ethernet protocols. The server collects the monitoring information of the storage terminal and provides an interface for accessing and controlling the terminal.

A face recognition system which uses 3D lighting estimation and optimal lighting compensation for dark-field application is proposed. To develop the proposed system, which can realize people identification in a near scene dark-field environment, a light-emitting diode (LED) overhead light, eight LED wall lights, a visible light binocular camera, and a control circuit are used. First, 68 facial landmarks are detected and their coordinates in both image as well as camera coordinate systems are computed. Second, a 3D morphable model (3DMM) is developed after considering facial shadows, and a transformation matrix between the 3DMM and camera coordinate systems is estimated. Third, to assess lighting uniformity, 30 evaluation points are selected from the face. Sequencing computations of LED radiation intensity, ray reflection luminance, camera response, and face lighting uniformity are then carried out. Ray occlusion is processed using a simplified 3D face model. Fourth, an optimal lighting compensation is realized: the overhead light is used for flood lighting, and the wall lights are employed as meticulous lighting. A genetic algorithm then is used to identify the optimal lighting of the wall lights. Finally, an Eigenface method is used for face recognition. The results show that our system and method can improve face recognition accuracy by >10% compared to traditional recognition methods.

Conventional luminaires applied to the public lighting system cannot perform communication, control, and management features. Thus, intelligent lighting emerged way of providing management and control of the entire interconnected system, ensuring reliability, cost savings, and high efficiency. Therefore, this research work presents the development of an intelligent public lighting prototype based on a simple light controller. The system aims to improve this process by addressing some parameters, such as lighting power and saving light through a pedestrian presence sensor. The implementation of the public lighting system is based on LEDs because it provides low energy consumption. Besides, this research also provides an economic analysis of the proposed device to evaluate its applicability and possible benefits. The results proved the efficiency and flexibility of the proposed smart device. The use of the proposed prototype, along with the replacement of less efficient technologies by LED luminaires, generates an economic return that varies between 33.25 - 427.84 R$/year; leading to a return on investment of 24.16 % to 937.02 % at the end of the system’s useful life.

Major energy losses in existing materials handling warehouses are due to the continuous operation of lighting system even when they are not required. In addition to that, identifying the number of switchboards available in each of those warehouses is difficult. During fire accidents in those industries, identifying the exact number of workers trapped inside the room is a tedious process. In this work an attempt had been made to reduce the energy wastage by developing energy efficient intelligent lighting system. The intelligent light control system is used to switch ON or OFF of the light automatically based on the presence of the workers. A high-resolution camera is placed at the entrance of the room to monitor the real-time human transit. If the upper body of a human entry is captured, the pixels will be sent to the laptop through the Ethernet cable. Once, it has been detected the controller gets triggered and gives the power supply to the relay setup which makes switching on of the lighting system. Alternatively, voice control module was also introduced in this system to overcome any problems exists during the operation. The results had shown that the implementation of the proposed system could result in up to 35% saving in energy spending. By introducing this proposed system in industries like cold storage warehouses, carbon footprint on the environment can be saved.

To improve the accuracy of the switching threshold in Intelligent Lighting Control System (ILCS), an Intelligent Illuminance Fusion Algorithm (IIFA) based on the Neural Network (NN) and the Evidence Theory (Dempster-Shafer, D-S) research in this paper. Firstly, this paper proposes an intelligent illuminance fusion model based on the NN and D-S, which respectively using BP NN and RBF NN for feature layer fusion. The output is used in the Basic Probability Assignment (BPA) of the initial evidence. Secondly, in the strategy layer fusion, the combination result of high conflict evidence is often contrary to common sense, so the probability of conflicting evidence is weighted according to the average support degree of each proposition. Finally, through the sensor to collect the sunset and sunrise illumination information, and demonstrate the propose method. Experiments the average accuracy of the fusion result has improved 73.48%. The results indicate the proposed IIFA has higher accuracy and robustness.

This paper represents an analysis of reliability indicators through the concept of the block diagram (RBD). The analyzed device is an intelligent lighting system based on a hybrid electricity system. It is a multifunctional autonomous device designed for street lighting, being at the same time a powerful platform for urban monitoring, internet access and mobile telecommunications.Since new directions of development of the energy sector are pursued, the reason for choosing this device is that it represents an autonomous system that uses renewable sources by operating in parallel two systems (wind system and photovoltaic system) of energy conversion that allows increased safety in power supply and achieving superior efficiencies.This hybrid system is an intelligent lighting system fully powered by solar and wind energy. Its unique design combines advanced aerodynamics with simple geometry and allows continuous functioning in urban areas. The photovoltaic cells cover the upper surface of the casing as the turbine directs the wind flow to a diffuser, thus creating an accelerated effect in the energy store in the battery, which serves as a platform for additional services.Reliability Block Diagram is based on a visual representation of the relationships between the system relative to its components. RBD represents the model of a system based on the operation rate, respectively defect rate of the components.

This paper proposes a single-phase direct AC-AC converter with inherent power factor correction (PFC) capability to provide voltage regulation and PFC for the distributed intelligent lighting system (DILS). To achieve the high switching frequency needed, the converter uses SiC device. The operating principle is elaborated, and the inherent PFC capability analysis is presented in detail as well as the overlap type pulse width modulation (OPWM). Moreover, the selection of circuit parameters requires a trade-off between the input current total harmonic distortion (THD) and the PFC effect, and the circuit parameters design method is presented. Finally, the capabilities of a buck-boost converter and PFC are verified by simulation and experimental results.

The aim of the article is to present and analyze the implementation of intelligent lighting within the concept of smart energies and smart cities. Motivation and research hypothesis: Electricity consumption in the world is based largely on non-renewable energy. Until these full changes, it is necessary to look for opportunities to save and use it efficiently. Today’s cities are increasingly implementing the smart concept, of which smart energy is one area. One of the smart city elements implemented by cities is smart energy. Within this framework, a supported concept is the replacement of traditional lighting with LEDs (Light-Emitting Diodes), which contributes to energy and cost savings and reduces the pollution of the sky with artificial light, while increasing the efficiency of urban lighting. Positive effects of modern solutions include reduced lighting expenses and increased safety of residents. Methods and results of the research: The authors chose the case study method for their research. The authors present forecasts for the development, not only from the point of view of the number of lamps but also the cost efficiency pointing out the importance of this element in the context of building smart cities. These are specific benchmarks for cities that have not yet implemented this concept. Conclusions and interdisciplinary implications: solutions are desirable directions for the development of the smart city concept, bringing benefits and reducing external costs. Considerations show a quantitative development forecast and an indication of the possibility of achieving trade-offs and cost reductions. It translates into meeting the requirements of sustainable development providing tangible benefits. The analysis of the case studies is intended to show the effects that can be achieved and the wide range of applications (indicating that modern lamps are not just lighting, but a platform for urban services). The analyses presented are intended to serve as benchmarks showing the possibilities of reducing costs and increasing the quality of life of residents in modern cities. The indicated examples and analyses are of economic importance, they show managers, but also inhabitants, in which direction they should lead the smart city concept, which will allow saving costs, but also to increase the quality of life of inhabitants.

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.

A new approach has been proposed to improve the performance of the in-telligent lighting system by estimating personal illuminance and desired color temperature at the workplace. We are considering the problem of using the sensing devices manually for the intelligent lighting system. The lighting control system has not become useful without sensing devices to measure the provided illuminance and color temperature. In this paper, we have used the property of light for the color temperature to estimate the level of color temperature for each user at the workplace. The new method will give personal illuminance for each user at the workplace and decrease the power consumption of the environment as well. As a result, the proposed method of the intelligent lighting system has realized the target of illuminance and color temperature for each user at the workplace by adapting dimming levels using illuminance sensing information for each user. Thus, the energy of the workplace has reduced by using a distributed luminance to realize the target for each user.

This paper analyzes the application of intelligent lighting control system in different sports events in sports venues, which is based on the perspective of computer technology. Firstly, this paper analyzes the characteristics of different sports events lighting system in stadiums, proposes a lighting demand analysis algorithm based on gray­scale modulation model, and designs a control algorithm based on neural network for intelligent lighting control system. Finally, the paper tests the designed algorithm and the results show that the intelligent lighting control system is effective. The application can play an important role in the optimization of lighting systems in different sports venues, with the value of further promotion in practice.

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

The model is developed for reducing the wastage of electricity due to careless and improper switching in households, schools, colleges and offices etc. It saves energy by maximizing the use of daylight. This is an automatic system which employs solar energy through PV. The system is capable of controlling fans in a room depending upon human thermal radiation. The parameter is measured through sensor and the controlling is done by microcontroller. PIR sensor detects the occupancy in the room. If human is present in the room then microcontroller switch ON the FAN. This model itself consumes very low power and helps in saving a significant amount of energy. The model can be applied to government offices, private firms, residential buildings, schools; colleges etc. so as to avoid the wastage of electricity also reduces our dependence on conventional energy and will help in conserving energy.

With the rapid development of science and technology, people gradually realized that intelligent lighting can also be applied in smart cities. This paper briefly introduces the functions of intelligent lighting and the benefits it can bring to smart cities, and also predicts its possible future development.

Now, more and more products are developing towards intelligence or using some intelligent control modules and programming language to carry out simple self-control, which provide us with a more convenient and intelligent life, also indicates that people begin to pursue a more comfortable life. Electric light can be said to be the first household electric appliance invented by human beings. With the development of modern lighting technology and integrated circuit, various lighting lamps and lanterns have appeared, which have been partially intelligent and put into the market. Intelligent lighting is an important part of smart home. With the increasing popularity of iPad, Android mobile phone and tablet, intelligent lighting is getting closer and closer to the home of ordinary consumers. Products from intelligent light bulb to intelligent lamp holder and intelligent control box have been listed, including Philips. The appearance of the hue bulb, for the first time opened the magic veil of ordinary home intelligent lighting scene change. It also opened a new chapter of low energy consumption, environmental protection, dimming, color matching intelligent home lighting. Therefore, the author wants to design a new kind of intelligent home lighting, which is different from the existing intelligent lighting in the market, and it is more humanized. Or it can be called a kind of healthy lighting [1]. It is possible that it can be one of the direction for the development of intelligence in the future.

Lighting is a fundamental requirement of our daily life. A lot of research and development is carried out in the field of daylight harvesting, which is the need of the hour. One of the most desirable attributes of daylight harvesting is that daylight is available universally and it is a very clean and cost-efficient form of energy. By using the various methods of daylight harvesting, it is possible to attain the global Sustainable Development Goals. Daylight harvesting in the most fundamental sense is the lighting strategy control of the artificial light in an interior space where daylight is also present so that the required illumination level is achieved. This way, a lot of energy can be saved. Recently, in addition to energy efficiency, other factors such as cost-efficiency, user requirements such as uniform illuminance, and different levels of illuminance at different points are being considered. To simulate the actual daylight contribution for an office building in urban Chennai, India before construction, ECO TECH software is used by providing the inputs such as building orientation, and reflectance’s values of the ceiling, wall, and floor to analyze the overall percentage of daylight penetration available versus the percentage prescribed in the Indian Green Building Council to obtain the credit points. Thus, the impact of architectural design on daylight harvesting and daylight predictive technology has experimented with office building in Chennai, India. This article will give an insight into the current trends in daylight harvesting technology and intends to provide a deeper understanding and spark a research interest in this widely potential field.

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.

Despite the various technical solutions for making lighting ‘smart,’ today’s lighting systems are often kept simple, and they are frequently not adjusted to user behaviours. This is especially the ...

According to the requirements of medical research and the World Health Organization for scientific eye use, combined with the current situation of illumination control, a kind of illumination control technology is proposed by using fuzzy PID control method. In order to citify the fuzzy PID control, and to have a good control effect on the illumination control of eye protection lamp, this paper takes the lighting control of eye protection lamp as an example, by using the controller controls the output PWM to control LED lighting, and experiments are carried out and the expected results are achieved according to the control requirements of relevant lighting indicators, which also shows its reliability and feasibility. Compared with the PID control system, the dimming control performance is more prominent, which meets the relevant regulations and eye requirements. The experiment also shows that the control technology can be used to improve the traffic intelligent lighting. This paper also analyzes and discusses the application prospect and research direction of this control technology in intelligent life or artificial intelligence.

This novel intelligent lighting control system is designed for the smart lights on the car at night, using computer vision to collect road information in the night and give the fruits to the controller to control the car's lights. Thus, the night lights can be controlled intelligently. The system consists of a night road detection and image acquisition module, image feature extraction and object detection module, and light status control module. Firstly, the road information is obtained from a camera, and then the image is processed and detected. According to vehicles' characteristics at night, the feature vectors of a headlight, taillight, street lights, and other bright spots are extracted. The extracted feature vectors are imported into a convolution neural network for training and verification of the training set and test set. After obtaining the pavement information results, the light status control module determines the intelligent light's strategy. The performance of the intelligent lighting control system is verified.

In recent years, with the development of urbanization, the number of elevators inside the buildings has increased exponentially. The elevator has become an indispensable and significant component of modern people's life, and it also brings great convenience to people's travel. However, when an accident of the elevator takes place, it will also gives rise to great panic. In order to make sure the normal and safe operation of the elevator, the corresponding measures of safety protection of the elevator are particularly significant. A good protective measure will properly remind or protect the passengers straying into the dangerous area and improve the safety coefficient of the elevator. The gap between the elevator car door ground and the landing ground is a blind spot for the passengers, and there is a risk of tripping and wrestling. In this paper, the author introduces a system of intelligent lighting control for the gap ground of the elevator, and demonstrates the use method and application value of this system from the following three perspectives: system installation, function design and advantages.

At a critical moment in responding to outbreaks of some infectious diseases, real-time air disinfection and mosquito control can effectively block part of the transmission routes of viruses and bacteria, thus playing a positive role in epidemic prevention. At present, most of the air sterilization, air purification and mosquito control products, only have a single function. This paper introduced a kind of technical design, it integrated the air sterilization, air purification, mosquito control function into the lighting system, was designed the high-power UV LED module in the interior of the light, used the intelligent control technology, precise control of UV LED module radiation dose, system wind volume, switch of mosquito control module, light and color of lighting module. It has the advantages of high efficiency of disinfection, safety, small size, self-cleaning, long life and low energy consumption, can be widely used in classrooms, offices, workshops, supermarkets and other places.

With the development of society, the problem of energy shortage and environmental pollution is becoming more and more prominent. However, the phenomenon of permanent lights still exists in office buildings. At present, the lighting power consumption accounts for about 10% of the total power consumption in China. Therefore, it is necessary to research and develop intelligent lighting control systems asy to implement for energy-saving. Meanwhile, it is necessary to make full use of natural light sources to meet the demand of office illumination. In this paper, the intelligent dimming algorithm forlighting group control is studied, which transforms room size and the location information of lighting & work station into two-dimensional coordinate data on the lighting plane. According to the illuminance contribution value and illuminance superposition law of point light sources in a certain work station, the linear programming optimization algorithm is used to calculate the dimming coefficient of each lamp for meeting the illuminance demand of each office work station and with the energy consumption of indoor lighting as the optimal objective as well. The simulation results show that compared with the existing lighting control methods, the proposed illumination control scheme can effectively meet the illumination requirements of offices, and save more than 30% energy.

In the present work we propose the development of an intelligent lighting system aimed to be used in large area buildings and taking as example some buildings of the Technical University of Cluj-Napoca (Romania). The system incorporates several modules, each module replacing a lighting switch in the building. The purpose of these modules is to control the lighting fixtures in the hallways of the buildings according to the movement in the covered area and the light intensity. The modules communicate with each other by radio communication, through a tree structure. All modules transmit information to the central node consisting of an Arduino Uno development board and the NRF24L01 radio communication module. The central node transmits the serial information via USB connection to the PC, where the information is processed by a custom program developed to display information related to the status of the modules and to control the modules remotely.

This paper applies the Manchester code to encoding and decoding as the research and development direction. Because the DALI (Digital Addressable Lighting Interface) communications protocol's packets use Manchester code, it is detect the logical state of edge transitions to decode and encode, instead of reading the high/low level of the signal, so it can't be processed with common NRZ (Non Return Zero Code) code. At present, there is no single controller for encoding or decoding Manchester code on the market, if the manufacturer develops and designs by itself, the company must have engineers with DALI's work experience, and it will take time to carry out complex algorithm development. In order to reduce personnel costs and development time, general lighting manufacturers will choose to purchase commercially available the DALI master and the DALI slave to use with original equipment manufacturer's software. This will cause the DALI slave cannot be integrated with the power supply of the LED luminaire, and the control interface will be limited to the original factory. (For example, DALI master of manufacturer A needs to be used with the software interface of manufacturer A.) Therefore, this paper develops a set of algorithms to complete the encoding and decoding of Manchester code, and independent develops the master and slave of DALI-2, so the DALI-2 slave is easy to integrate with the luminaire power supply, and can also be used with the self-designed software interface to control the DALI-2 master. The development of a DALI-2 intelligent lighting control system from software, firmware and hardware design is not only has highly expandability, but also has the advantage of high design flexibility, and can be integrated with the IoT (Internet of Things) in the future.

Based on the research of large quantity, multi data and real-time intelligent monitoring of lighting equipment in the environment of Internet of things, this paper proposes a segmented lighting equipment monitoring system based on polling algorithm. With the help of effective communication protocol, the system designs a polling algorithm for data acquisition to realize long-term continuous and real-time tracking of lighting equipment, which is conducive to timely detection of lighting equipment operation faults in the monitoring process, and improves the monitoring efficiency and level.

Fu, X.; Xu, X., and Wang, K., 2020. Design of an intelligent marine ship lighting power detection system based on Internet of things. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 144–150. Coconut Creek (Florida), ISSN 0749-0208.The marine ship lighting system is a significant unit of navigation to improve the safety of the crew. The traditional oceangoing voyage lighting power system has low efficiency, delays in troubleshooting times, and high energy consumption in the detection of fault points. Based on the Internet of Things (IoT) and automation, the authors proposed an intelligent lighting power detection method to ensure the safe, efficient, and stable operation of the oceangoing voyage. Specifically, in the distinct lighting and dynamic circuit multifault environment of the oceangoing voyage, the illumination detection time limit of a traditional lighting power system and the proposed intelligent lighting system were compared; the current and voltage values of the intelligent lighting system were measured and analyzed. This method proved to be effective in detecting a variety of faults of an oceangoing voyage lighting system and has fast and stable performance as well as high accuracy. Therefore, the proposed method can effectively avoid unexpected accidents caused by power lighting failures and improve the green energy-saving performance of oceangoing voyage lighting systems.

This design of the mosquito killer is based on intelligent lighting control over solar energy and high-voltage DC. The device consists of the frame, solar module, control module, mosquito killing module. The solar module is fixed on the top of the frame, which uses the solar energy to store electric energy. The control module, which is fixed inside the frame, is connected with the solar module through a circuit. It controls the opening or closing of the control module through light control and temperature control. The mosquito killing module, which is fixed at the lower part of the frame, is connected with the control module through a circuit. When the control module is enabled, the power is supplied by the solar module, the mosquito killing module is enabled and starts to lure mosquitos and kill them. When the control module is disabled, the circuit connection between the solar module and the mosquito killing module is disrupted, and the mosquito killing module is disabled. The mosquito killer of this design uses the solar energy to supply electricity, light control and temperature control to realize time control of mosquito killing, the ultraviolet color light to lure mosquitos to approach, and the high-voltage power to kill them. It features high mosquito killing efficiency, environmental protection, and energy saving.

Aiming at the shortcomings of high communication cost and power consumption in the existing intelligent lighting system, an intelligent lighting system based on low power wireless transceiver chip NRF24L01P is studied. The overall architecture of the system is given and the realization of system functions is introduced. The system adopts NRF24L01P networking technology to realize interconnection and intercommunication between LED lighting devices, which reduces the cost and power consumption of wireless communication; converts Wi-Fi protocol into NRF24L01P communication protocol by designing IoT router, enables user terminal to remotely control and monitor LED The lighting device and the fuzzy PID algorithm are used to improve the stability of the system. The solar temperature difference power supply based on the thermoelectric power generation chip is studied to realize the green environmental protection for the IoT router.

The matter of energy waste has always been an unavoidable problem in the sustainable development of human beings. Because of poor awareness and weakness technology of environmental conservation, many classrooms and laboratories are very wasteful of power resources due to the use of traditional lighting systems. Focus on the problem that the traditional lighting control technology is used in the classroom lighting system. In this paper, a new intelligent lighting control system for the classroom is designed, based on PLC and industrial touch-sensitive screen. Firstly, a new intelligent lighting control system for the classroom based on PLC is presented according to the design ideas and the composition principle of typical electrical control system. There are three control modes: automatic, timing and manual, according to the needs of the classroom lighting system, Secondly, the lighting circuit and PLC control circuit are designed, in addition, the control principle of each component in the circuit is described in detail. Based on this, the control program of PLC is developed. The test results show that the system design is affordable, which can solve the above problems well.