自动照明控制系统的设计和实现外文文献

毕业论文中文题目：智能交通灯系统设计外文题目：DESIGN OF INTELLIGENT TRAFFIC LIGHT S YSTEM附录A外文文献中文译文附录B外文文献毕业设计（论文）共75 页（其中：外文文献及译文23 页）图纸共1 张完成日期2016 年6 月答辩日期2016 年6 月摘要随着科学技术的发展，交通运输工具发展也愈来愈快，交通堵塞，交通事故频发，严重影响到人们的正常生活。

因此，一个功能完整，运行系统稳定，符合交通正常运行并且人性化的交通灯系统可以为我们的生活带来安全的保障，同时也有利于提高人们出行的便捷。

本文综合叙述了光电传感技术，交通灯的发展现状，在交通灯的基本功能即单片机控制红黄绿灯显示通行或禁行，数码管显示倒计时时间，黄闪等功能基础上，增加了紧急处理按键，应用光电传感器实现车流量检测智能调整时间以及闯红灯报警功能。

本文共分为六大部分，交通灯基本知识的介绍，光电开关技术的介绍，智能交通灯总体设计，硬件电路设计，软件设计以及智能交通灯设计的总结。

通过增加车流量检测及闯红灯报警等功能，体现了现代交通灯的智能功能，可以根据检测到的车流量自动调节下一周期绿灯的时间，从而减轻通行压力。

关键词：智能交通灯；车流量检测；光电开关AbstractWith the development of science technology, the development of transportbecomes fast.Traffic jam, frequent traffic accidents have the serious influence onhuman's normal life.A fully functional, stable operation system, conform to the normal operation of traffic and humanized traffic light system can bring us life security, as well as improve the convenience of travel.This article comprehensively describes thephotoelectric sensor technology , the development and status quo of traffic lights,besides the basic function ofthe chip microcomputer control traffic light shows the people pass or stop, digital tube displays the countdown time, yellow flashing, and other functions, I increase the emergency handling keys, adjusting time with the application of photoelectric sensors for detecting traffic and red light alarm functions. This article is divided into six parts, the introduction of basic knowledge about traffic lights ,the Photoelectric switch technology,the intelligent traffic light overall design, the hardware circuit design, the software design, as well as the summary and prospect of intelligent traffic light design.By increasing traffic detection and,red light alarm, and other functions,which embodies the modern intelligent function of traffic lights, traffic can be detected according to automatically adjust the next cycle of green light time, so as to alleviate traffic pressure.Key words:Intelligent traffic lights; Traffic detection; Photoelectric switch目录1 绪论 (1)1.1 研究目的 (1)1.2 研究意义 (1)1.3 交通灯发展历史 (2)1.4 交通灯分类及控制方式 (2)1.4.1 交通灯分类 (2)1.4.2 交通灯控制 (4)1.5 智能交通灯的研究现状 (4)1.6 预期实现功能 (5)1.7 主要内容安排 (7)2 光电传感技术 (8)2.1 光电开关特点 (8)2.2 光电开关分类 (8)2.2.1 按结构分类 (8)2.2.2 按检测方式分类 (8)2.3 光电开关的工作原理 (10)2.4 光电传感器技术应用 (11)2.5 光电开关使用注意事项 (11)3 总体设计方案选择 (12)3.1 控制模块方案选择 (12)3.2 显示模块方案选择 (13)3.3 输入模块方案选择 (14)3.4 传感器模块方案选择 (14)4 硬件系统设计 (17)4.1STC89C51 单片机介绍 (17)4.2 单片机最小系统 (20)4.2.1 时钟电路 (20)4.2.2 复位电路 (21)4.3 显示模块 (22)4.3.1 发光二极管 (22)4.3.2 数码管 (23)4.4 按键模块 (24)4.5 光电开关模块 (25)4.6 蜂鸣器模块 (25)5 软件设计 (27)5.1 主程序设计 (27)5.2 子程序设计 (28)5.2.1 显示子程序设计 (28)5.2.2 外部中断子程序设计 (29)5.2.3 定时中断子程序设计 (29)6 系统仿真 (31)6.1 仿真软件介绍 (31)6.2 仿真结果及分析 (31)7 总结 (38)致谢 (39)参考文献 (40)附录 A 译文 (41)附录 B 外文文献 (51)附录 C 硬件电路图 (64)附录 D 程序代码 (65)辽宁工程技术大学毕业设计（论文）1 绪论本章重点介绍智能交通灯的研究目的、研究意义、以及交通灯的发展过程、交通灯分类及控制方式、智能交通灯的研究现状和预期实现功能。

led照明毕业论文中英文资料外文翻译文献Renewable and Sustainable Energy ReviewsHigh-brightness LEDs—Energy efficient lighting sources and their potential in indoor plant cultivation ABSTRACTThe rapid development of optoelectronic technology since mid-1980 has significantly enhanced the brightness and efficiency of light-emitting diodes (LEDs). LEDs have long been proposed as a primary light source for space-based plant research chamber or bioregenerative life support systems. The raising cost of energy also makes the use of LEDs in commercial crop culture imminent. With their energy efficiency, LEDs have opened new perspectives for optimizing the energy conversion and the nutrient supply both on and off Earth. The potentials of LED as an effective light source for indoor agriculturalproduction have been explored to a great extent. There are many researches that use LEDs to support plant growth in controlled environments such as plant tissue culture room and growth chamber. This paper provides a brief development history of LEDs and a broad base review on LED applications in indoor plant cultivation since 1990.Contents1. Introduction2. LED development.3. Color ratios and photosynthesis4. LEDs and indoor plant cultivation.4.1. Plant tissue culture and growth4.2. Space agriculture84.3. Algaculture4.4. Plant disease reduction5. Intermittent and photoperiod lighting and energy saving6. Conclusion1. IntroductionWith impacts of climate change, issues such as more frequent and seriousdroughts, floods, and storms as well as pest and diseases are becoming more serious threats to agriculture. These threats along with shortage of food supply make people turn to indoor and urban farming (such as vertical farming) for help. With proper lighting, indoor agriculture eliminates weather-related crop failures due to droughts and floods to provide year-round crop production, which assist in supplying food in cities with surging populations and in areas of severe environmental conditions.The use of light-emitting diodes marks great advancements over existing indoor agricultural lighting. LEDs allow the control of spectral composition and the adjustment of light intensity to simulate the changes of sunlight intensity during the day. They have the ability to produce high light levels with low radiant heat output and maintain useful light output for years. LEDs do not contain electrodes and thus do not burn out like incandescent or fluorescent bulbs that must be periodically replaced. Not to mention that incandescent and fluorescent lamps consume a lot of electrical power while generating heat, which must be dispelled from closed environments such as spaceships and space stations.2. LED developmentLED is a unique type of semiconductor diode. It consists of a chip of semiconductor material doped with impurities to create a p–n junction. Current flows easily from the p-side (anode), to the n-side (cathode), but not in the reverse direction.Electrons and holes flow into the junction from electrodes with different voltages. When an electron meets a hole, it falls into a lower energy level, and releases energy in the form of a photon. The color (wavelength) of the light emitted depends on the band gap energy of the materials forming the p–n junction. The materials used for an LED have a direct band gap with energies corresponding to near-infrared, visible or near-ultraviolet light.The key structure of an LED consists of the die (or light-emitting semiconductor material), a lead frame where the die is placed, and the encapsulation which protects the die (Fig. 1).Fig.1LED development began with infrared and red devices made with gallium arsenide. Advances in materials science have made possible the production of devices with ever-shorter wavelengths, producing light in a variety of colors. J.Margolin reported that the first known light-emitting solid state diode was made in 1907 by H. J. Round. No practical use of Round’s diode was made for several decades until the invention of the first practical LED by Nick Holonyak, Jr in 1962. His LEDs became commercially available inlate 1960s. These GaAsP LEDs combine three primary elements: gallium, arsenic and phosphorus to provide a 655nm red light with brightness levels of approximately 1–10 mcd at 20mA. As the luminous intensity was low, these LEDs were only used in a few applications, primarily as indicators. Following GaAsP, GaP (gallium phosphide) red LEDs were developed. These device sex hibit very high quantum efficiencies at low currents. As LED technology progressed through the 1970s, additional colors and wavelengths became available. The most common materials were GaP green and red, GaAsP orange, and high efficiency red and GaAsP yellow. The trend towards more practical applications (such as in calculators, digital watches, and test equipment) also began to develop. As the LED materials technology became more advanced, the light output was increased, and LEDs became bright enough to be used for illumination.In 1980s a new material, GaAlAs (gallium aluminum arsenide) was developed followed by a rapid growth in the use of LEDs. GaAlAs technology provides superiorperformance over previously available LEDs. The voltage requirement is lower, which results in a total power savings. LEDs could be easily pulsed or multiplexed and thus are suitable for variable message and outdoor signs. Along this development period, LEDs were also designed into bar code scanners, fiber optic data transmission systems, and medicalequipment. During this time, the improvements in crystal growth and optics design allow yellow, green and orange LEDs only a minor improvement in brightness and efficiency. The basic structure of the material remained relatively unchanged.As laser diodes with output in the visible spectrum started to commercialize in late 1980s, LED designers used similar techniques to produce high-brightness and high reliability LEDs. This led to the development of InGaAlP (indium gallium aluminum phosphide) visible light LEDs. Via adjusting the energy band gap InGaAlP material can have different color output. Thus, green, yellow, orange and red LEDs could all be produced using the same basic technology. Also, light output degradation of InGaAlP material is significantly improved.Shuji Nakamura at Nichia Chemical Industries of Japan introduced blue LEDs in 1993. Blue LEDs have always been difficult to manufacture because of their high photon energies (>2.5 eV) and relatively low eye sensitivity. Also, the technology to fabricate these LEDs is very different and less advanced than standard LED materials. But blue is one of the primary colors (the other two being red and green). Properly combining the red, green, and blue light is essential to produce white and full-color. This process requires sophisticated software and hardware design to implement. In addition, the brightness level is low and the overall light output of each RGB die being used degrades at a different rate resulting in an eventual color unbalance. The blue LEDs available today consist of GaN (gallium nitride) and SiC (silicon carbide) construction. The blue LED that becomes available in production quantities has result in an entire generation of new applications that include telecommunications products, automotive applications, traffic control devices, and full-color message boards. Even LED TVs can soon become commercially available.Compare to incandescent light’s 1000-h and fluorescent light’s 8000-h life span, LEDs have a very significantly longer life of 100,000 h. In addition to their long life, LEDs have many advantages over conventional light source. These advantages include small size, specific wavelength, low thermal output, adjustable light intensity and quality, as well as high photoelectric conversion efficiency. Such advantages make LEDs perfect for supporting plant growth in controlled environment such as plant tissue culture room and growth chamber. Table 1 is a list of some common types of LEDs as compiled from .The chlorophyll molecules in plants initiate photosynthesis bycapturing light energy and converting it into chemical energy to help transforming water and carbon dioxide into the primary nutrient for living beings. The generalized equation for the photosynthetic process is given as:CO2 + H2O—light—>（CH2O）+ O2where (CH2O) is the chemical energy building block for thesynthesis of plant components.Chlorophyll molecules absorb blue and red wavelengths most efficiently. The green and yellow wavelengths are reflected or transmitted and thus are not as important in the photosyntheticprocess. That means limit the amount of color given to the plants and still have them grow as well as with white light. So, there is no need to devote energy to green light when energy costs are aconcern, which is usually the case in space travel.The LEDs enable researchers to eliminate other wavelengths found within normal white light, thus reducing the amount of energy required to power the plant growth lamps. The plants grow normally and taste the same as those raised in white light.Red and blue light best drive photosynthetic metabolism. These light qualities are particularly efficient in improving the developmental characteristics associated with autotrophic growth habits. Nevertheless, photosynthetically inefficient light qualities also convey important environmental information to a developing plant. For example, far-red light reverses the effect of phytochromes, leading to changes in gene expression, plant architecture, and reproductive responses. In addition, photoperiod (the adjustment of light and dark periods) and light quality (the adjustment of red, blue and far-red light ratio) also have decisive impacts on photomorphogenesis.The superimposed pattern of luminescence spectrum of blue LED (450–470 nm) and that of red LED (650–665 nm) corresponds well to light absorption spectrum of carotenoids and chlorophyll. Various plant cultivation experiments are possible when these twokinds of LED are used with the addition of far-red radiation (730–735 nm) as the light source. Along the line of the LED technology advancement, LEDs become a prominent light source for intensive plant culture systems and photobiological researches. The cultivation experiments which use such light sources are becoming increasingly active. Plant physiology and plant cultivation researches using LEDs started to peak in 1990s and become inevitable in the new millennium. Those researches have confirmed that LEDs are suitable for cultivation of a variety of algae,crop, flower, fruit, and vegetable.Some of the pioneering researches are reviewed in the followings.Bula et al. have shown that growing lettuce with red LEDs in combination with blue tubular fluorescent lamp (TFL) is possible. Hoenecke et al. have verified the necessity of blue photons for lettuce seedlings production by using red LEDs with blue TFL. As the price of both blue and red LEDs have dropped and the brightness increased significantly, the research findings have been able to be applied in commercial production. As reported by Agence France Press, Cosmo Plant Co., in Fukuroi, Japan has developed a red LED-based growth process that uses only 60% of electricity than a fluorescent lighting based one.Tennessen et al. have compared photosynthesis from leaves of kudzu (Pueraria lobata) enclosed in a leaf chamber illuminated by LEDs versus by a xenon arc lamp. The responses of photosynthesis to CO2 are similar under the LED and xenon arc lamps at equal photosynthetic irradiance. There is no statistical significant difference between the white light and red light measurements in high CO2. Some leaves exhibited feedback inhibition of photosynthesis which is equally evident under irradiation of either lamp type. The results suggest that photosynthesis research including electron transport, carbon metabolismand trace gas emission studies should benefit greatly from the increased reliability, repeatability and portability of a photosynthesis lamp based on LEDs.Okamoto et al. have investigated the effects of different ratios of red and blue (red/blue) photosynthetic photon flux density (PPFD) levels on the growth and morphogenesis of lettuce seedlings. They have found that the lettuce stem length decreases significantly with an increase in the blue PPFD. The research has also identified the respective PPFD ratio that (1) accelerates lettuce seedlings’stem elongation, (2) maximizes the whole plant dry weight, (3) accelerates the growth of whole plants, and (4) maximizes the dry weights of roots and stems. Photosynthesis does not need to take place in continuous light. The solid state nature allows LEDs to produce sufficient photon fluxes and can be turned fully on and off rapidly (200 ns), which is not easily achievable with other light sources. This rapid on–off feature has made LEDs an excellent light source for photosynthesis research such as pulsed lighting for the study of photosynthetic electron transport details. The off/dark period means additional energy saving on top of the LEDs’low power consumption.4. LEDs and indoor plant cultivation4.1. Plant tissue culture and growthTissue culture (TC), used widely in plant science and a number of commercial applications, is the growth of plant tissues or cells within a controlled environment, an ideal growth environment that is free from the contamination of microorganisms and other contaminants. A controlled environment for PTC usually means filtered air, steady temperature, stable light sources, and specially formulated growth media (such as broth or agar). Micropropagation, a form of plant tissue culture (PTC), is used widely in forestry and floriculture. It is also used for conserving rare or endangered plant species. Other uses of PTC include:1short-term testing of genetic constructions or regeneration oftrans genic plants,2 cross breeding distantly related species and regeneration of the novel hybrid,3 screening cells for advantageous characters (e.g. herbicidere sistance/tolerance),4embryo rescue (i.e. to cross-pollinate distantly related specie sand then tissue culture there sulting embryo which would normally die),5 large-scale growth of plant cells in liquid culture inside bioreactors as a source of secondary products (like recombinant proteins used as biopharmaceuticals).6production of doubled monoploid plants from haploid cultures to achieve homozygous lines more rapidly in breeding programs (usually by treatment with colchicine which causes doubling of the chromosome number).Tissue culture and growth room industries have long been using artificial light sources for production. These light sources include TFL, high pressure sodium lamp (HPS), metal halide lamp (MHL) and incandescent lamp, etc. Among them, TFL has been the most popular in tissue culture and growth room industries. However, the use of TFL consumes 65% of the total electricity in a tissue culture lab. That is the highest non-labor costs. As a result, these industries continuously seek for more efficient light sources. The development of high-brightness LED has made LED a promising light source for plant growth in controlled environments.Nhut et al. have cultured strawberry plantlets under different blue to red LED ratios as well as irradiation levels and compared its growth to that under plant growth fluorescent. The results suggest that a culture system using LED is advantageous for the micropropagation of strawberry plantlets. The study also demonstrates that the LED light source for in vitro culture of plantlets contributes to an improved growth of the plants in acclimatization.Brown et al. have measured the growth and dry matter partitioning of ‘Hungarian Wax’pepper (Capsicum annuum L.) plants grown under red LEDs compared with similar plants grown under red LEDs with supplemental blue or far-red radiation. Pepper biomass reduces when grown under red LEDs without blue wavelengths compared to plants grown under supplemental blue fluorescent lamps. The addition of far-red radiation results in taller plants with greater stem mass than red LEDs alone. Fewer leaves developed under red or red plus far-red radiation than with lamps producing blue wavelengths. The results of their research indicate that with proper combination of other wavelengths, red LEDs may be suitable for the culture of plants in tightly controlled environments.4.2. Space agricultureBecause re-supply is not an option, plants are the only options to generate enough food, water and oxygen to help make future explorers self-sufficient at space colonies on the moon, Mars or beyond. In order to use plants, there must be a light source. Standard light sources that used in homes and in greenhouses and in growth chambers for controlled agriculture here on Earth are not efficient enough for space travel. While a human expedition outside Earth orbit still might be years away, the space farming efforts are aimed at developing promising artificial light sources. LEDs, because of their safety, small mass and volume, wavelength specificity, and longevity, have long been proposed as a primary light source for space-base plant research chamber or bioregenerative life support systems .Infrared LEDs that are used in remote controls devices have other uses. Johnson et al. have irradiated oat (Avena sativa cv Seger) seedlings with infrared (IR) LED radiation passed through a visible-light-blocking filter. The irradiated seedlings exhibited differences in growth and gravitropic response when compared to seedlings grown in darkness at the same temperature. This suggests that the oat seedlings are able to detect IR LED radiation. These findings also expand the defined range of wavelengths involved in radiation–gravity (light–gravity) interactions to include wavelengths in the IR region of the spectrum.Goins et al. grow wheat under red LEDs and compare them to the wheat grown under (1) white fluorescent lamps and (2) red LEDs supplemented with blue light from blue fluorescent lamps. The results show that wheat grown under red LEDs alone displayed fewer subtillers and a lower seed yield compared to those grown under white light. Wheat grown under red LEDs + 10% BF light had comparable shoot dry matter accumulation and seed yield relative to those grown under white light. These results indicate that wheat can complete its life cycle under red LEDs alone, but larger plants and greater amounts of seed are produced in the presence of red LEDs supplemented with a quantity of blue light.The research of Goins and his team continues in plant growth chambers the size of walk-in refrigerators with blue and red LEDs to grow salad plants such as lettuce and radishes. They hope the plant growth chamber would enable space station staff to grow and harvest salad greens, herbs and vegetables during typical fourmonth tours on the outpost .4.3. AlgacultureAlgaculture, refers to the farming of species of algae, has been a great source for feedstock, bioplastics, pharmaceuticals, algae fuel, pollution control, as well as dyes and colorants. Algaculture also provides hopeful future food sources.Algae can be grown in a photobioreactor (PBR), a bioreactor which incorporates some type of light source. A PBR is a closed system, as opposed to an open tank or pond. All essential nutrients must be introduced into the system to allow algae to grow and be cultivated. A PBR extends the growing season and allows growing more species. The device also allows the chosen species to stay dominant. A PBR can either be operated in ‘‘batch mode’’or ‘‘continuous mode’’in which a continuous stream of sterilized water that contains air, nutrients, and carbon dioxide is introduced. As the algae grows, excess culture overflows and is harvested.When the algae grow and multiply, they become so dense that they block light from reaching deeper into the water. As a result, light only penetrates the top 7–10 cm of the water in most algalcultivation systems. Algae only need about 1/10 the amount of direct sunlight. So, direct sunlight is often too strong for algae. A means of supplying light to algae at the right concentration is to place the light source in the system directly.Matthijs et al. have used LEDs as the sole light source in continuous culture of the green alga (Chlorella pyrenoidosa). The research found the light output of the LED panel in continuous operation sufficient to support maximal growth. Flash operation at 5-ps pulse ‘‘on’’ duration between dark periods of up to 45 ps would stillsustain near maximum growth. While longer dark periods tend to cut the growth rate, the light flux decrease resulting from such operation does not reduce the growth as much as that of the similar flux decrease in continuous operation. Their research concludes that the use of flashing LEDs (which means intermittent light) in indoor algal culture yielded a major gain in energy economy comparing to fluorescent light sources. An additional advantage is that heat waste losses are much smaller. The most interesting discovery of this study may be that adding blue light to the red LED light did not change the growth properties.In order to take advantage of the biotechnological potential of algae, Lee and Palsson have calculated theoretical values of gas mass transfer requirements and light intensity requirements to support high-density algal cultures for the 680 nm monochromatic red light from LED as a light source. They have also designed a prototype PBR based on these calculations. Using on-line ultra filtration to periodically provide fresh medium, these researchers have achieved a cell concentration of more than 2×109cells/ml (more than 6.6%, vol/vol), cell doubling times as low as 12 h, and an oxygen production rate as high as 10 mmol oxygen/l culture/h. This research indicates that the development of a small LED-based algal photobioreactors is economically achievable.Another research of algae via LEDs is conducted by Nedbal et al. Their research is a study of light fluctuation effects on a variety of algae in dilute cultures using arrays of red LEDs to provide intermittent and equivalent continuous light in small-size (30 ml) bioreactors. The results endorse that the algae growth rates in certain calculated intermittent light can be higher than the growth rate in the equivalent continuous light. Yanagi and Okamoto has grown five spinach plants under the red LEDs and another five under 40W plant growth fluorescent lamps at the same light intensity of 125 mmol/m2/s. The dry matter production under the LEDs is slightly less than that under the fluorescent lamps. The plant leaf area under the red LEDs is also smaller than that under the fluorescent lamps. Nevertheless, they reach a conclusion that LEDs can qualify as an artificial light source for plant growth.4.4.Plant disease reductionSchuerger and Brown have used LED arrays with different spectral qualities to determine the effects of light on the development of tomato mosaic virus (ToMV) in peppers and powdery mildew on cucumbers. Their research concludes that spectral quality may alter plant disease development. Latter research regarding bacterial wilt on tomato has confirmed this conclusion and demonstrates that spectral quality may be useful as a component of an integrated pest management program for space-based ecological life support systems. Schuerger et al. have shown that the spectral quality effects on peppers’ anatomical changes in stem and leaf tissues are corr elated to the amount of blue light in primary light source.Miyashita et al. use red LEDs (peak wavelength: 660 nm) and white fluorescent lamps as light sources for potato plantlets growth in vitro. They found that shoot length and chlorophyll concentration of the plantlets increases with increasing 630–690 nm red photon flux (R-PF) while there are no significant differences in dry weight and leaf area of the plantlets with different R-PF levels. This means red lightaffects the morphology rather than the growth rate of potato plantlets in vitro. As a result, they suggest that red LEDs can be used for controlling plantlet morphology in micropropagation.5. Intermittent and photoperiod lighting and energy savingTime constants for photosynthetic processes can be divided into three ranges: primary photochemistry, electron shuttling, and carbon metabolism. These three photosynthetic processes can be uncoupled by providing pulses of light within the appropriate range for each process. At high frequencies, pulsing light treatments can be used to separate the light reactions (light harvesting and charge separation) from the dark reactions (electron shuttling) of photosynthetic electron transport. LEDs’ flexible pulsating ability can be coupled with such characteristics of photosynthesis and lead to additional energy saving.Tennessen et al. use LEDs to study the effects of light pulses (micro- to milli-second) of intact tomato leaves. They found that when the equivalent of 50 mmol photons mp -2s-1 is provided during 1.5 ms pulses of 5000 mmol photons mp -2s-1 followed by 148.5 ms dark periods, photosynthesis is the same as in continuous 50 mmol photons mp -2s-1 . Data support the theory that photons in pulses of 100 ps or shorter are absorbed and stored in the reaction centers to be used in electron transport during the dark period. Pigments of the xanthophyll cycle were not affected by pulsed light treatments. This research suggests that, instead of continuous light, using effectively calculated intermittent light (which means less energy consumption) might not affect the plant production.Jao and Fang have investigated the effects of intermittent light on growth of potato plantlets in vitro. They also use conventional TFLs for the experiment to explore the electrical savings realized by adjusting the frequency and duty ratio of LEDs. TFLs provide continuous fluctuating light at 60 Hz while LEDs provide nonfluctuating light and pulse light of the preset frequency and duty ratio. When the growth rate is the only concern, LEDs at 720 Hz (1.4 ms) and 50% duty ratio with 16-h light/8-h dark photoperiod stimulated plant growth the most. When energy consumption is the major concern, using LEDs at 180 Hz (5.5 ms) and 50% duty ratio with 16-h light/8-h dark photoperiod would not significantly sacrifice plant growth, especially when energy for heat removal is also taken into account.6. ConclusionsThe first sustained work with LEDs as a source of plant lighting occurred in the mid-1980s when a lighting system for plant growth was designed for space shuttles and space stations for it is realized that people cannot go to the Moon, Mars, or beyond without first mastering the art of indoor farming on Earth. As the performance of LED continues to improve, these lighting systems progress from red only LED arrays using the limited components available to high-density, multi-color LED chip-on-board technologies. Today, space age gardeners who have been testing high-efficiency light sources for future space colonists have identified energy efficient LEDs as the major light source not only to grow food but also to generate and purify oxygen and water—key sustainers of human life. The removal of carbon dioxide from a closed environment is another added benefit.LEDs are the first light source to provide the capability of true spectral composition control, allowing wavelengths to match to plant photoreceptors to optimize production as well as to influence plant morphology and composition. They are easily integrated into digital control systems, facilitating complex lighting programs like varying spectral composition over the course of a photoperiod or with plant development stage. LEDs do not contain mercury. They are safer to operate than current lamps since they do not have glass envelopes or high touch temperatures.While the process of photosynthesis does not require continuous light of full spectrum, LEDs can produce sufficient photon fluxes of specific wavelength on and off rapidly. Such mechanism of photosynthesis coupled with the solid state characteristics of LEDs constitute two ways of energy saving (cutting out unnecessary spectrum segment and turning off the light periodically) on top of the LEDs’ low power consumption. These are not easily achievable with other light sources.This paper provides a broad base review on LED applications in horticulture industry since 1990. These researches pave the way for the researches of similar types using different species and lead to comparable conclusion that LEDs are well qualified to replace its more energy demanding counterparts as controlled environment light source for agricultural research such as providing tissue culture lighting as well as supplemental and photoperiod lighting for greenhouses.With the energy it can save, LED’s becoming ec onomically feasible in large-scale indoor farming lighting applications is just around the corner.再生可持续能源评论高亮高效节能LED灯的来源及其在室内植物栽培中的潜力摘要自1980年中期以来，光电子技术的迅猛发展，显著调高了发光二极管（LED）的亮度和效率。

毕业设计（论文）外文文献翻译文献、资料中文题目：交通灯智能控制系统文献、资料英文题目：Intelligent Traffic Light Control 文献、资料来源：文献、资料发表（出版）日期：院（部）：专业：测控技术与仪器班级：姓名：学号：指导教师：翻译日期： 2017.02.14本科生毕业设计（论文）外文文献翻译毕业设计题目：交通灯智能控制系统学院：信息科学与工程学院专业班级：测控技术与仪器外文原文Intelligent Traffic Light Control Marco Wiering, Jelle van Veenen, Jilles Vreeken, and Arne Koopman IntelligentSystems GroupInstitute of Information and Computing Sciences Utrecht UniversityPadualaan 14, 3508TB Utrecht, The Netherlandsemail:***********.nlJuly 9, 2004AbstractVehicular travel is increasing throughout the world, particularly in large urban areas.Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. In this paper we study the simulation and optimization of traffic light controllers in a city and present an adaptive optimization algorithm based on reinforcement learning. We have implemented a traffic light simulator, Green Light District, that allows us to experiment with different infrastructures and to compare different traffic light controllers. Experimental results indicate that our adaptive traffic light controllers outperform other fixed controllers on all studied infrastructures.Keywords: Intelligent Traffic Light Control, Reinforcement Learning, Multi-Agent Systems (MAS), Smart Infrastructures, Transportation Research1 IntroductionTransportation research has the goal to optimize transportation flow of people and goods.As the number of road users constantly increases, and resources provided by current infrastructures are limited, intelligent control of traffic will become a very important issue in the future. However, some limitations to the usage of intelligent traffic control exist. Avoiding traffic jams for example is thought to be beneficial to both environment and economy, but improved traffic-flow may also lead to an increase in demand [Levinson, 2003].There are several models for traffic simulation. In our research we focus on microscopic models that model the behavior of individual vehicles, and thereby can simulate dynamics of groups of vehicles. Research has shown that such models yield realistic behavior [Nagel and Schreckenberg, 1992, Wahle and Schreckenberg, 2001].Cars in urban traffic can experience long travel times due to inefficient traffic light control. Optimal control of traffic lights using sophisticated sensors and intelligent optimization algorithms might therefore be very beneficial. Optimization of traffic light switching increases road capacity and traffic flow, and can prevent traffic congestions. Traffic light control is a complex optimization problem and several intelligent algorithms, such as fuzzy logic, evolutionary algorithms, and reinforcement learning (RL) have already been used in attempts to solve it. In this paper we describe a model-based, multi-agent reinforcement learning algorithm for controlling trafficlights.In our approach, reinforcement learning [Sutton and Barto, 1998, Kaelbling et al., 1996] with road-user-based value functions [Wiering, 2000] is used to determine optimal decisions for each traffic light. The decision is based on a cumulative vote of all road users standing for a traffic junction, where each car votes using its estimated advantage (or gain) of setting its light to green. The gain-value is the difference between the total time it expects to wait during the rest of its trip if the light for which it is currently standing is red, and if it is green. The waiting time until cars arrive at their destination is estimated by monitoring cars flowing through the infrastructure and using reinforcement learning (RL) algorithms.We compare the performance of our model-based RL method to that of other controllers using the Green Light District simulator (GLD). GLD is a traffic simulator that allows us to design arbitrary infrastructures and traffic patterns, monitor traffic flow statistics such as average waiting times, and test different traffic light controllers. The experimental results show that in crowded traffic, the RL controllers outperform all other tested non-adaptive controllers. We also test the use of the learned average waiting times for choosing routes of cars through the city (co-learning), and show that by using co-learning road users can avoid bottlenecks.This paper is organized as follows. Section 2 describes how traffic can be modelled, predicted, and controlled. In section 3 reinforcement learning is explained and some of its applications are shown. Section 4 surveys several previous approaches to traffic light control, and introduces our new algorithm. Section 5 describes the simulator we used for our experiments, and in section 6 our experiments and their results are given. We conclude in section 7.2 Modelling and Controlling TrafficIn this section, we focus on the use of information technology in transportation.A lot of ground can be gained in this area, and Intelligent Transportation Systems (ITS) gained interest of several governments and commercial companies [Ten-T expert group on ITS, 2002, White Paper, 2001, EPA98, 1998].ITS research includes in-car safety systems, simulating effects of infrastructural changes, route planning, optimization of transport, and smart infrastructures. Its main goals are: improving safety, minimizing travel time, and increasing the capacity of infrastructures. Such improvements are beneficial to health, economy, and the environment, and this shows in the allocated budget for ITS.In this paper we are mainly interested in the optimization of traffic flow, thus effectively minimizing average traveling (or waiting) times for cars. A common tool for analyzing traffic is the traffic simulator. In this section we will first describe two techniques commonly used to model traffic. We will then describe how models can be used to obtain real-time traffic information or predict traffic conditions. Afterwards we describe how information can be communicated as a means of controlling traffic, and what the effect of this communication on traffic conditions will be. Finally, we describe research in which all cars are controlled using computers.2.1 Modelling Traffic.Traffic dynamics bare resemblance with, for example, the dynamics of fluids and those of sand in a pipe. Different approaches to modelling traffic flow can be used to explain phenomena specific to traffic, like the spontaneous formation of traffic jams. There are two common approaches for modelling traffic; macroscopic and microscopic models.2.1.1 Macroscopic models.Macroscopic traffic models are based on gas-kinetic models and use equations relating traffic density to velocity [Lighthill and Whitham, 1955, Helbing et al., 2002]. These equations can be extended with terms for build-up and relaxation of pressure to account for phenomena like stop-and-go traffic and spontaneous congestions [Helbing et al., 2002, Jin and Zhang, 2003, Broucke and Varaiya, 1996]. Although macroscopic models can be tuned to simulate certain driver behaviors, they do not offer a direct, flexible, way of modelling and optimizing them, making them less suited for our research.2.1.2 Microscopic models.In contrast to macroscopic models, microscopic traffic models offer a way ofsimulating various driver behaviors. A microscopic model consists of an infrastructure that is occupied by a set of vehicles. Each vehicle interacts with its environment according to its own rules. Depending on these rules, different kinds of behavior emerge when groups of vehicles interact.Cellular Automata. One specific way of designing and simulating (simple) driving rules of cars on an infrastructure, is by using cellular automata (CA). CA use discrete partially connected cells that can be in a specific state. For example, a road-cell can contain a car or is empty. Local transition rules determine the dynamics of the system and even simple rules can lead to chaotic dynamics. Nagel and Schreckenberg (1992) describe a CA model for traffic simulation. At each discrete time-step, vehicles increase their speed by a certain amount until they reach their maximum velocity. In case of a slower moving vehicle ahead, the speed will be decreased to avoid collision. Some randomness is introduced by adding for each vehicle a small chance of slowing down. Experiments showed realistic behavior of this CA model on a single road with emerging behaviors like the formation of start-stop waves when traffic density increases.Cognitive Multi-Agent Systems. A more advanced approach to traffic simulation and optimization is the Cognitive Multi-Agent System approach (CMAS), in which agents interact and communicate with each other and the infrastructure. A cognitive agent is an entity that autonomously tries to reach some goal state using minimal effort. It receives information from the environment using its sensors, believes certain things about its environment, and uses these beliefs and inputs to select an action. Because each agent is a single entity, it can optimize (e.g., by using learning capabilities) its way of selecting actions. Furthermore, using heterogeneous multi-agent systems, different agents can have different sensors, goals, behaviors, and learning capabilities, thus allowing us to experiment with a very wide range of (microscopic) traffic models.Dia (2002) used a CMAS based on a study of real drivers to model the drivers’ response to travel information. In a survey taken at a congested corridor, factors influencing the choice of route and departure time were studied. The results were usedto model a driver population, where drivers respond to presented travel information differently. Using this population, the effect of different information systems on the area where the survey was taken could be simulated. The research seems promising, though no results were presented.A traffic prediction model that has been applied to a real-life situation, is described in [Wahle and Schreckenberg, 2001]. The model is a multi-agent system (MAS) where driving agents occupy a simulated infrastructure similar to a real one. Each agent has two layers of control; one for the (simple) driving decision, and one for tactical decisions like route choice. The real world situation was modelled by using detection devices already installed. From these devices, information about the number of cars entering and leaving a stretch of road are obtained. Using this information, the number of vehicles that take a certain turn at each junction can be inferred. By instantiating this information in a faster than real-time simulator, predictions on actual traffic can be made. A system installed in Duisburg uses information from the existing traffic control center and produces real-time information on the Internet. Another system was installed on the freeway system of North Rhine-Westphalia, using data from about 2.500 inductive loops to predict traffic on 6000 km of roads.中文译文智能交通灯控制马克威宁，简丽范威，吉尔威瑞肯，安瑞库普曼智能系统小组乌得勒支大学信息与计算科学研究所荷兰乌得勒支Padualaan14号邮箱：***********.nl2004年7月9日摘要世界各地的车辆运行逐渐增多，尤其是在一个大的本地区域。

本科生毕业设计（论文）基于PLC的校园照明智能控制系统设计Intelligent Control of Campus Lighting Based on Programmable Logical Controller总计：27 页表格： 2 个插图：15 幅***** 学院本科毕业设计（论文）基于PLC的校园照明智能控制系统设计Intelligent Control of Campus Lighting Based on Programmable Logical Controller学院（系）：电子与电气工程学院专业：电气工程及其自动化学生姓名：学号：104091120032指导教师（职称）：评阅教师：完成日期：****学院Nan yang Institute of Technology毕业设计（论文）原创性声明和使用授权说明原创性声明本人郑重承诺：所呈交的毕业设计（论文），是我个人在指导教师的指导下进行的研究工作及取得的成果。

尽我所知，除文中特别加以标注和致谢的地方外，不包含其他人或组织已经发表或公布过的研究成果，也不包含我为获得及其它教育机构的学位或学历而使用过的材料。

对本研究提供过帮助和做出过贡献的个人或集体，均已在文中作了明确的说明并表示了谢意。

作者签名：日期：指导教师签名：日期：使用授权说明本人完全了解大学关于收集、保存、使用毕业设计（论文）的规定，即：按照学校要求提交毕业设计（论文）的印刷本和电子版本；学校有权保存毕业设计（论文）的印刷本和电子版，并提供目录检索与阅览服务；学校可以采用影印、缩印、数字化或其它复制手段保存论文；在不以赢利为目的前提下，学校可以公布论文的部分或全部内容。

作者签名：日期：学位论文原创性声明本人郑重声明：所呈交的论文是本人在导师的指导下独立进行研究所取得的研究成果。

除了文中特别加以标注引用的内容外，本论文不包含任何其他个人或集体已经发表或撰写的成果作品。

对本文的研究做出重要贡献的个人和集体，均已在文中以明确方式标明。

本科生毕业论文(设计)题目（中文）：路灯控制器的设计与实现（英文）：Design and Implementation StreetLamp Controller本科毕业论文(设计)诚信声明作者郑重声明：所呈交的本科毕业论文(设计)，是在指导老师的指导下，独立进行研究所取得的成果，成果不存在知识产权争议。

除文中已经注明引用的内容外，论文不含任何其他个人或集体已经发表或撰写过的成果。

对论文的研究做出重要贡献的个人和集体均已在文中以明确的方式标明。

本声明的法律结果由作者承担。

本科毕业论文（设计）作者签名：年月日目录摘要 (I)关键词 (I)Abstract (I)Key words.......................................................... I I 1 前言.. (1)1.1 选题背景 (1)1.2 研究现状 (1)1.3 研究目的和意义 (2)2 任务分析与方案论证 (3)2.1 任务分析 (3)2.2 方案论证 (4)2.2.1 系统主控模块方案选择 (4)2.2.2 光电转换方案选择 (5)2.2.3 显示模块方案选择 (5)3 系统硬件设计 (6)3.1 单片机最小系统 (6)3.2 光控电路 (10)3.3 继电器驱动电路 (11)3.4 报警电路 (12)3.5 1602液晶显示 (12)4 软件设计 (14)4.1 主程序流程图 (14)4.2 初始化程序 (15)4.3 定时器中断 (16)4.4 延时程序 (18)5 调试与分析 (18)5.1 调试 (18)5.2 分析 (18)6 总结 (21)参考文献 (22)致谢 (23)附录 (24)附录A 系统总图 (24)附录B PCB图 (25)附录C 实物图 (26)附录D 部分源代码： (26)路灯控制器的设计与实现摘要本文介绍了一个路灯控制器的设计与实现方案，用以实现路灯的自动控制。

基于ZigBee协议的智能灯控系统设计与实现摘要随着科技的发展，人民生活水平的提高，人们对住宅的要求也越来越高，智能家居就是为解决人们的这一要求诞生的。

照明是建筑的重要组成部分，人们对房屋舒适度的需求不断增多，智能照明行业发展前景可期。

作者经过对智能照明系统相关技术的分析和市场调研，针对上述问题提出了一个基于Android 平台和WIFI 无线网络的智能家居照明系统的解决方案。

该系统使用一个Android 手机作为控制中心，CC2530 作为无线收发器，通过WIFI 无线网络，从而达到对照明系统控制的目的。

本智能照明系统设计方案基本可以满足用户对照明控制的功能需求，同时由于采用了WIFI 无线技术，大大降低了整个系统的成本。

关键字：智能照明系统，Android，CC2530IABSTRACTABSTRACTWith the development of science and technology to improve people's living standards, people demand more and more comfortable houses, smart home is to solve this requires . Lighting is an important part of the building, the demand of comfortable houses continues to increase , intelligent lighting industry with a bright future. On the intelligent lighting system through related technology analysis and market research, to address the problem presented a solutions based on Android platform and WIFI wireless network smart home lighting systems . The system uses an Android phone as the control center, CC2530 as wireless transceivers, via WIFI wireless network, so as to achieve the purpose of the lighting system control. The intelligent lighting system design to meet the basic needs of lighting control for users , but thanks to the WIFI wireless technology, which greatly reduces the cost of the entire system.Key Words:Intelligent lighting system，Android，CC2530II目录第1章引言 (1)1.1 智能灯控系统的研究背景 (1)1.2 课题的研究价值及意义 (1)1.3 智能灯控系统的研究现状 (2)1.4 课题重点研究内容 (2)第2章理论基础 (4)2.1 Android系统 (4)2.1.1 Android系统架构 (4)2.1.2 Android Framework框架 (6)2.1.3 Android的生命周期 (7)2.1.4 Android开发软件Eclipse (8)2.2 ZigBee技术 (9)2.2.1 无线通信技术比较 (10)2.2.2 ZigBee协议栈 (11)2.2.3 ZigBee开发模块 (13)2.3 Socket通信 (15)2.3.1 Socket中重要的API (16)2.3.2 Socket的连接过程 (16)第3章手机客户端的设计与实现 (18)3.1 UI界面设计 (18)3.1.1 几种常用控件的实现 (19)3.1.2 人机交互UI实现 (25)3.2 Socket通信的实现 (33)第4章硬件的设计与实现 (46)4.1硬件电路设计 (46)4.1.1 CC2530芯片的优势 (46)4.1.2 LED模块 (47)4.1.3 天线模块 (48)4.1.4 串口模块 (48)4.2 硬件编程中的通信协议 (49)4.2.1 数据通信的报文格式 (49)4.2.2 功能码设置 (50)第5章系统测试 (52)5.1 UI测试 (53)5.2 网关到ZigBee的测试 (56)5.3 系统整体测试 (58)第6章结束语 (60)III6.1 本文总结 (60)6.2 本系统展望 (60)参考文献 (61)致谢 (64)外文资料原文 ........................................ 错误!未定义书签。

外文翻译---智能照明控制系统___ control system is to conserve energy。

This system features us pre-set control modes and components that allow for accurate and nal management of ___-saving at different times and ___。

the system takes full advantage of natural outdoor light and only uses energy when ___ over 30%.The ___ control system has a bus-type star-shaped structure。

which ___。

This system has several advantages。

including ___。

Its ___。

as it ces ___ by using the least amount of energy ___.Overall。

the use of the ___ It offers a good ___ utilizing its pre-set control modes and components。

the system ___ levels。

It is an essential tool for anyone looking to ce their ___.The main goal of an ___ control system is to save energy。

This system includes us "pre-set" control modes and components that can accurately adjust and manage energy-saving based on different times and degrees of ___。

英语原文Intelligent Traffic Light Controlby Marco Wiering The topic I picked for our community project was traffic lights. In a community, people need stop signs and traffic lights to slow down drivers from going too fast. If there were no traffic lights or stop signs, people’s lives would be in danger from drivers going too fast.The urban traffic trends towards the saturation, the rate of increase of the road of big city far lags behind rate of increase of the car.The urban passenger traffic has already become the main part of city traffic day by day and it has used about 80% of the area of road of center district. With the increase of population and industry activity, people's traffic is more and more frequent, which is unavoidable. What means of transportation people adopt produces pressure completely different to city traffic. According to calculating, if it is 1 to adopt the area of road that the public transport needs, bike needs 5-7, car needs 15-25, even to walk is 3 times more than to take public transits. So only by building road can't solve the city traffic problem finally yet. Every large city of the world increases the traffic policy to the first place of the question.For example，according to calculating, when the automobile owning amount of Shanghai reaches 800,000 (outside cars count separately ), if it distributes still as now for example: center district accounts for great proportion, even when several loop-lines and arterial highways have been built up , the traffic cannot be improved more than before and the situation might be even worse. So the traffic policy Shanghai must adopt , or called traffic strategy is that have priority to develop public passenger traffic of city, narrow the scope of using of the bicycle progressively , control the scale of growth of the car traffic in the center district, limit the development of the motorcycle strictly.There are more municipals project under construction in big city. the influence on the traffic is greater.Municipal infrastructure construction is originally a good thing of alleviating the traffic, but in the course of constructing, it unavoidably influence the local traffic. Some road sections are blocked, some change into an one-way lane, thus the vehicle can only take a devious route . The construction makes the road very narrow, forming the bottleneck, which seriously influence the car flow.When having stop signs and traffic lights, people have a tendency to drive slower andlook out for people walking in the middle of streets. To put a traffic light or a stop sign in a community, it takes a lot of work and planning from the community and the city to put one in. It is not cheap to do it either. The community first needs to take a petition around to everyone in the community and have them sign so they can take it to the board when the next city council meeting is. A couple residents will present it to the board, and they will decide weather or not to put it in or not. If not put in a lot of residents might be mad and bad things could happened to that part of the city.When the planning of putting traffic lights and stop signs, you should look at the subdivision plan and figure out where all the buildings and schools are for the protection of students walking and riding home from school. In our plan that we have made, we will need traffic lights next to the school, so people will look out for the students going home. We will need a stop sign next to the park incase kids run out in the street. This will help the protection of the kids having fun. Will need a traffic light separating the mall and the store. This will be the busiest part of the town with people going to the mall and the store. And finally there will need to be a stop sign at the end of the streets so people don’t drive too fast and get in a big accident. If this is down everyone will be safe driving, walking, or riding their bikes.In putting in a traffic light, it takes a lot of planning and money to complete it. A traffic light cost around $40,000 to $125,000 and sometimes more depending on the location. If a business goes in and a traffic light needs to go in, the business or businesses will have to pay some money to pay for it to make sure everyone is safe going from and to that business. Also if there is too many accidents in one particular place in a city, a traffic light will go in to safe people from getting a severe accident and ending their life and maybe someone else’s.The reason I picked this part of our community development report was that traffic is a very important part of a city. If not for traffic lights and stop signs, people’s lives would be in danger every time they walked out their doors. People will be driving extremely fast and people will be hit just trying to have fun with their friends. So having traffic lights and stop signs this will prevent all this from happening.Traffic in a city is very much affected by traffic light controllers. When waiting for a traffic light, the driver looses time and the car uses fuel. Hence, reducing waiting times before traffic lights can save our European society billions of Euros annually. To make traffic light controllers more intelligent, we exploit the emergence of novel technologies such as communication networks and sensor networks, as well as the use of more sophisticated algorithms for setting traffic lights. Intelligent traffic light control does not only mean thattraffic lights are set in order to minimize waiting times of road users, but also that road users receive information about how to drive through a city in order to minimize their waiting times. This means that we are coping with a complex multi-agent system, where communication and coordination play essential roles. Our research has led to a novel system in which traffic light controllers and the behaviour of car drivers are optimized using machine-learning methods.Our idea of setting a traffic light is as follows. Suppose there are a number of cars with their destination address standing before a crossing. All cars communicate to the traffic light their specific place in the queue and their destination address. Now the traffic light has to decide which option (ie, which lanes are to be put on green) is optimal to minimize the long-term average waiting time until all cars have arrived at their destination address. The learning traffic light controllers solve this problem by estimating how long it would take for a car to arrive at its destination address (for which the car may need to pass many different traffic lights) when currently the light would be put on green, and how long it would take if the light would be put on red. The difference between the waiting time for red and the waiting time for green is the gain for the car. Now the traffic light controllers set the lights in such a way to maximize the average gain of all cars standing before the crossing. To estimate the waiting times, we use 'reinforcement learning' which keeps track of the waiting times of individual cars and uses a smart way to compute the long term average waiting times using dynamic programming algorithms. One nice feature is that the system is very fair; it never lets one car wait for a very long time, since then its gain of setting its own light to green becomes very large, and the optimal decision of the traffic light will set his light to green. Furthermore, since we estimate waiting times before traffic lights until the destination of the road user has been reached, the road user can use this information to choose to which next traffic light to go, thereby improving its driving behaviour through a city. Note that we solve the traffic light control problem by using a distributed multi-agent system, where cooperation and coordination are done by communication, learning, and voting mechanisms. To allow for green waves during extremely busy situations, we combine our algorithm with a special bucket algorithm which propagates gains from one traffic light to the next one, inducing stronger voting on the next traffic controller option.We have implemented the 'Green Light District', a traffic simulator in Java in which infrastructures can be edited easily by using the mouse, and different levels of road usage can be simulated. A large number of fixed and learning traffic light controllers have already been tested in the simulator and the resulting average waiting times of cars have been plotted and compared. The results indicate that the learning controllers can reduce average waiting timeswith at least 10% in semi-busy traffic situations, and even much more when high congestion of the traffic occurs.We are currently studying the behaviour of the learning traffic light controllers on many different infrastructures in our simulator. We are also planning to cooperate with other institutes and companies in the Netherlands to apply our system to real world traffic situations. For this, modern technologies such as communicating networks can be brought to use on a very large scale, making the necessary communication between road users and traffic lights possible.中文翻译：智能交通信号灯控制马克·威宁我所选择的社区项目主题是交通灯。