CN102595679A - Highway tunnel illumination energy-saving intelligent control system - Google Patents
Highway tunnel illumination energy-saving intelligent control system Download PDFInfo
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Abstract
The invention relates to a highway tunnel illumination energy-saving intelligent control system. In the system, according to a fuzzy neural network control theory, a relation model of the brightness outside a highway tunnel and the brightness of LED (Light-Emitting Diode) tunnel lamps at an inlet and a transition section of a tunnel and a relation model of the brightness of the LED tunnel lamps and the tunnel vehicle flow are established and the intelligent regulation and control of the brightness of the LED tunnel lamps are implemented; the system consists of an outside tunnel brightness detector (1), an in-tunnel brightness detector (3), a vehicle detector (2), signal processing modules (4), an illumination control computer (5), driving power supplies (6) and the LED tunnel lamps (7); and information of the vehicle flow, the vehicle speeds, the outside tunnel brightness and in-tunnel brightness which are acquired by the vehicle detector and the in-tunnel brightness detector and the outside tunnel brightness detector are transmitted to the illumination control computer (5) after being processed by the signal processing modules (4) and the output powers of the LED tunnel lamps (7) are regulated according to a command of the illumination control computer, so that the continuous dimming in the tunnel is implemented. The highway tunnel illumination energy-saving intelligent control system is suitable for illumination energy-saving control of the highway tunnel.
Description
Technical field
The present invention relates to a kind of highway tunnel illumination energy-saving control system, belong to highway tunnel illumination technical research field.
Background technology
Tunnel illumination is the system that must install in the vcehicular tunnel, in vcehicular tunnel construction and supervisory control system, occupies critical role, is the basic guarantee of vcehicular tunnel operation safety.Simultaneously, the tunnel illumination system is again a high energy consumption system in the vcehicular tunnel, and to the consume significant of electric energy, electric cost occupies very big proportion in the vcehicular tunnel operation cost.Therefore, the tunnel illumination Research on energy saving had very important realistic meaning and wide application prospect.China considers the mainly selection from the illuminating lamp source of tunnel illumination Research on energy saving, cloth lamp mode, several aspects such as confession distribution system, Energy Saving Control mode and system maintenance at present; And reasonably control mode can make the realization of tunnel illumination system farthest energy-conservation, is the energy-conservation key in tunnel.
Both at home and abroad the tunnel illumination control mode be broadly divided into manual control mode, the SECO mode of carrying out at times and control three kinds of the Automatic Control modes of lighting loop according to the brightness value inside and outside the hole automatically.Consider that from safety, economy, various aspects such as energy-conservation automatic control mode is better than other two kinds of control modes, domestic majority tunnel illumination system has all adopted automatic control mode.The tunnel illumination automatic control mode is to utilize brightness detection instrument to gather the inside and outside luminance parameter in tunnel respectively; After contrast processing; Automatically control the switch of each lighting loop by computer system or lighting controller; ON/OFF corresponding tunnel light fixture adapts brightness of illumination and the brightness of extraneous natural daylight in the hole.
Notification number CN2542018 is disclosed to be a kind of intelligent tunnel illumination control device, comprises signal projector, power supply controlling receiver, light fixture controlling receiver; Signal projector is carried by the workmen, and signal projector makes power supply to the tunnel illumination line powering through the power supply controlling receiver; Through the light fixture controlling receiver light fixture is opened automatically, closed automatically after the time-delay.Publication number CN201629881U is disclosed to be a kind of highway segmentation sequential tunnel illumination control system, and its structure comprises power module, CPU module, input module, output module; Output module is connected with contactor through Pyatyi illumination control model, and contactor connects each lamp in the tunnel.Publication number CN101614361 discloses the tunnel lighting control method of a kind of natural daylight and artificial light combination.
The most grading control that adopt of China's existing tunnel illumination; Though certain energy-saving effect is arranged; But in the parameter designing stages such as weather, the speed of a motor vehicle, vehicle flowrates all is to consider to giving maximum; The length and the illumination of final each section illumination also are the maximum state that is in all the time, and therefore this traditional road illumination Design method exists a large amount of waste of energy problems.LED is applied to tunnel illumination; Not only can realize economizing on electricity more than 50～80% compared to traditional illuminating product; The overlength useful life that also has 50000～80000 hours simultaneously; The most important is the stepless control that LED can realize brightness, established the basis that tunnel illumination can real-Time Tracking Control.
Summary of the invention
The objective of the invention is; There is the problem of a large amount of waste of energy in illumination according to existing tunnel; The present invention is based on the LED lamp and can realize the superiority of stepless brilliance control, the various relational models of tunnel illumination are studied, invented a kind of highway tunnel illumination energy-saving intelligent control system; Can realize that the tunnel throws light on as required, really reach farthest energy-conservation.
Technical scheme of the present invention is; The present invention is according to " outer brightness of vcehicular tunnel and tunnel go out/enter the mouth the relational model of LED Tunnel Lamp, changeover portion brightness variation " and " relational model of vcehicular tunnel LED Tunnel Lamp brightness and tunnel vehicle flowrate "; Accomplish the intelligent control algorithm of LED Tunnel Lamp brightness; And be embedded in the control system design LED Tunnel Lamp driving power, the Based Intelligent Control of realization highway tunnel illumination.
The present invention realizes technical scheme through following method:
Design a cover vcehicular tunnel model in advance; Difference simulation tunnel entrance, changeover portion, basic segment and outlet section; And can realize the simulation of environment such as cloth lamp in weather/weather outside brightness outside the hole, the hole/vegetation, the hole, ground wall reflectivity, the magnitude of traffic flow, confirm that through experimental study various factors is to the influence of brightness in the hole inside and outside the tunnel.
The present invention utilizes Fuzzy Neural-network Control theoretical; Set up outer brightness of vcehicular tunnel and tunnel portal, changeover portion LED Tunnel Lamp brightness relationship model; Brightness of LED Tunnel Lamp and tunnel vehicle flowrate relational model; Accomplish tunnel illumination intelligent control algorithm, and this algorithm is embedded among the tunnel illumination control system the final intelligent control of realizing the brightness of LED Tunnel Lamp through the Fuzzy Neural-network Control module.
Highway tunnel illumination energy-saving intelligent control system of the present invention is by brightness detector outside the hole 1, and brightness detector 3 in the hole, wagon detector 2, and signal processing module 4, illumination control computer 5, driving power 6 is formed with LED Tunnel Lamp 7.
The controlled step of highway tunnel illumination energy-saving intelligent control system of the present invention does; The inside and outside brightness detector 3,1 in wagon detector 2 and hole is with monochrome information inside and outside the vehicle flowrate that collects, the speed of a motor vehicle, the hole;, signal processing module 4 sends the illumination control computer 5 of the indoor setting of tunnel control after handling to; Then according to the brightness adjustment control logic that configures in advance, calculate appear in each section brightness value, and calculate the control voltage of each node driving power 6 required input according to each section brightness value of tunnel and LED Tunnel Lamp power curve; Send to driving power 6 to the brightness adjustment control instruction through signal-transmitting cable then; The power of LED Tunnel Lamp 7 is adjusted in the instruction that driving power 6 bases obtain, and feedback-related information realizes the continuous light tuning in the tunnel to illumination control computer 5.
In order to satisfy the adaptation requirement of human eye to brightness, the logarithm dimming mode is adopted in the control of LED Tunnel Lamp, 256 grades of logarithm light modulations of single lamp make whole light modulation zone look like linear regulation.For the safety that guarantees to drive a vehicle in the tunnel, in the adjustment hole, during brightness, adopt the control mode of brightness gradual change, make each Duan Jun of tunnel reach required brightness requirement, avoid changing the threat traffic safety suddenly because of brightness.Simultaneously since the continuous trigger light modulation not only bad for the human eye adaptive capacity; And the useful life of having reduced light fixture to a certain extent; So adopt time triggering mode in the control procedure, brightness outside hole of every mistake 3～5min collection, vehicle flowrate and vehicle speed data carry out the calculating of a brightness demand.
The present invention is designed to the brilliance control pattern of VCCS (VCCS) with LED Tunnel Lamp driving power, utilizes a kind of output current controllable electric power of direct-flow signal voltage control output current mean variation.It is directly taken a sample current signal after isolate the occupation efficiency that amplifies control power supply primary switch pipe; Isolating transformer converts dc pulse current into after the electric energy of different occupation efficiencys is isolated; After low pass filter filtering, convert the direct current that size changes with control signal into, thus the output current of control power supply.The advantage of this transmission means is that control circuit is simple, and the control signal long transmission distance has higher control reliability and power-efficient.In order to let regulator control system can grow distance control LED Tunnel Lamp, the high resistant form is adopted in its control input end; Under the prerequisite that does not reduce input impedance, adopt special Interference Cancellation formula circuit design, guarantee high noise immunity and the stability of lamp brightness and the synchronism that brightness changes of power supply, eliminate the suffered interference of input and make light fixture the phenomenon of flicker occur.
The beneficial effect of the present invention and prior art comparison is; Highway tunnel illumination energy-saving control system of the present invention can be according to the brightness of each section in the real-time adjusting tunnel of brightness inside and outside the hole, tunnel, vehicle flowrate, speed information, and satisfy each item index in " tunnel ventilation illumination Design standard ".Than conventional tunnel illumination grading control, energy-saving effect is obvious, and the present invention has favorable engineering application prospect.The LED Tunnel Lamp driving power of the present invention's design relates to the requirement of many aspects; When satisfying the controllability of electric current; Also fully take into account the problem of aspects such as power supply energy consumption, efficient, reliability, stability and long-distance transmissions, and control circuit is fairly simple, the interchangeability of light fixture is good.
The present invention is applicable to the lighting energy saving control of vcehicular tunnel.
Description of drawings
Fig. 1 is principle of the invention figure;
Fig. 2 is Fuzzy Neural-network Control module principle figure among the present invention;
Fig. 3 is a LED Tunnel Lamp driving power schematic diagram.
Picture in picture number: the 1st, brightness detector outside the hole; The 2nd, wagon detector; The 3rd, brightness detector in the hole; The 4th, signal processing module; The 5th, illumination control computer; The 6th, driving power; The 7th, the tunnel LED lamp; The 8th, high impedance input circuit; The 9th, integrator; The 10th, adder; The 11st, photoelectric isolating circuit; The 12nd, pulse-width modulation circuit; The 13rd, PFC; The 14th, rectifying and wave-filtering resistance.
Embodiment
The specific embodiment of the invention is as shown in Figure 1, and highway tunnel illumination energy-saving intelligent control system of the present invention mainly is made up of brightness detector 3, wagon detector 2, signal processing module 4, illumination control computer 5, driving power 6 and LED Tunnel Lamp 7 in brightness detector outside the hole 1, the hole.The inside and outside brightness detector 3,1 in wagon detector 2 and hole is with monochrome information outside the vehicle flowrate that collects, the speed of a motor vehicle, the hole; After signal processing module 4 is handled; Send current signal the illumination control computer 5 of the indoor setting of tunnel control to, and export to driving power 6 after being scaled the standard analog signal of 0-5V; Then according to the brightness adjustment control logic that configures in advance; Calculating interior each section brightness value of appearing; And calculate the control voltage of each node driving power 6 required input according to each section brightness value of tunnel and LED Tunnel Lamp power curve, and sending to driving power 6 to the brightness adjustment control instruction through signal-transmitting cable then, driving power 6 is adjusted the power of LED Tunnel Lamp 7 according to the instruction that obtains; And feedback-related information realizes the continuous light tuning in the tunnel to illumination control computer 5.In order to satisfy the adaptation requirement of human eye to brightness, the logarithm dimming mode is adopted in the control of LED Tunnel Lamp, 256 grades of logarithm light modulations of single lamp make whole light modulation zone look like linear regulation.For the safety that guarantees to drive a vehicle in the tunnel, in the adjustment hole, during brightness, adopt the control mode of brightness gradual change, make each Duan Jun of tunnel reach required brightness requirement, avoid changing the threat traffic safety suddenly because of brightness.Simultaneously since the continuous trigger light modulation not only bad for the human eye adaptive capacity; And the useful life of having reduced light fixture to a certain extent; So adopt time triggering mode in the control procedure, brightness outside hole of every mistake 3～5min collection, vehicle flowrate and vehicle speed data carry out the calculating of a brightness demand.
Embodiment is following:
Respectively outside the hole, tunnel with the hole in entrance brightness detector 3 in brightness detector 1 and the hole is installed respectively in the hole outside; Mounting vehicle detector 2 before tunnel portal; The inside and outside brightness in the tunnel that monitors, vehicle flowrate and vehicle speed data are real-time transmitted to tunnel illumination control computer 5 after module 4 is handled.
As shown in Figure 2, Fuzzy Neural-network Control module of the present invention is divided into and is five layers of A～E, and be respectively: A is an input layer, accepts the input of parametric variable; The B layer is that membership function generates layer, realizes the obfuscation operation; The C layer is regular former piece matching layer, calculates the fitness of every rule; The D layer is the rule conclusion layer, and identical regular consequent is carried out comprehensively; E is an output layer, realizes the operation of reverse paste; B～D layer constitutes the fuzzy neural network module.The tunnel inside/outside brightness, vehicle flowrate and the vehicle speed data that collect are admitted to the fuzzy neural network module, in conjunction with the theory demands model of brightness in the hole, realize the control to brightness in the hole, tunnel.
With hole inside/outside luminance difference, vehicle flowrate and the speed information input variable as the Fuzzy Neural-network Control model, the light modulation amount is the output variable of model in the hole among the present invention.The quantification domain of luminance difference is that { 4 ,-3 ,-2 ,-1,0,1,2,3,4}, fuzzy language value are { NB (negative big), NM (in negative), NS (negative little), ZE (zero), PS (just little), PM (center), PB (honest) }; The quantification domain of vehicle flowrate be 4 ,-3 ,-2 ,-1,0,1,2,3, and 4}, fuzzy language value be NB (greatly), ZE (in), PB (little); The quantification domain of the speed of a motor vehicle be 4 ,-3 ,-2 ,-1,0,1,2,3, and 4}, fuzzy language value be NB (soon), Z E (in), PB (slowly); The quantification domain of light modulation amount is that { 4 ,-3 ,-2 ,-1,0,1,2,3,4}, fuzzy language value are { NB (negative big), NM (in negative), NS (negative little), ZE (zero), PS (just little), PM (center), PB (honest) }.Tunnel illumination intelligent control algorithm according to the fuzzy neural network model completion; Be embedded in the tunnel illumination control system through the Fuzzy Neural-network Control module, can realize intelligent control according to the hole inside/outside brightness that collects, vehicle flowrate, speed information to the brightness of LED Tunnel Lamp.
Fig. 3 is an embodiment of the invention LED Tunnel Lamp driving power schematic diagram; As shown in the figure; LED Tunnel Lamp driving power is designed to analog signal Control current mean value pattern, is to utilize direct-flow signal voltage to control a kind of output current controllable electric power of output current mean variation.It is directly taken a sample current signal after isolate the occupation efficiency that amplifies control power supply primary switch pipe; Isolating transformer converts dc pulse current into after the electric energy of different occupation efficiencys is isolated; After low pass filter filtering 14, convert the direct current that size changes with control signal into, thus the output current of control power supply.The loss of this power supply mainly comprises elementary loss, transformer loss and secondary commutation, filtering loss, and power-efficient is higher relatively, and behind the adding PFC (power factor correction) 13, general efficient is about 85%.In order to let control system can control long distance L ED Tunnel Lamp simultaneously, high impedance input circuit 8 forms are adopted in its control input end, to guarantee the long Distance Transmission of control signal simultaneously.Under the prerequisite that does not reduce input impedance, adopt special Interference Cancellation formula circuit (integrator) 9 designs; Thereby guarantee high noise immunity and the stability of lamp brightness and the synchronism that brightness changes of power supply, make light fixture the phenomenon of flicker occur thereby eliminate the suffered interference of input.
System through connect, after the debugging, test, can be according to the brightness of real-time each section of adjusting tunnel of the brightness hole, tunnel outside, vehicle flowrate, speed information, and each item index in satisfied " tunnel ventilation illumination Design standard ".Than conventional tunnel illumination grading control, energy-saving effect is obvious, and the present invention has favorable engineering application prospect.
Claims (4)
1. a highway tunnel illumination energy-saving control system is characterized in that,
Said system is theoretical according to Fuzzy Neural-network Control; Set up outer brightness of vcehicular tunnel and tunnel portal, changeover portion LED Tunnel Lamp brightness relationship model; Brightness of LED Tunnel Lamp and tunnel vehicle flowrate relational model; Accomplish tunnel illumination intelligent control algorithm, and this algorithm is embedded among the tunnel illumination control system through the Fuzzy Neural-network Control module, realize intelligent control the brightness of LED Tunnel Lamp;
Said system is by brightness detector outside the hole (1), brightness detector in the hole (3), wagon detector (2), signal processing module (4), illumination control computer (5), driving power (6) and LED Tunnel Lamp 7 compositions;
The controlled step of said system does; The inside and outside brightness detector in wagon detector and hole is with monochrome information inside and outside the vehicle flowrate that collects, the speed of a motor vehicle, the hole;, signal processing module (4) sends the illumination control computer (5) of the indoor setting of tunnel control after handling to; According to the brightness adjustment control logic that configures in advance, calculate appear in each section brightness value, and calculate the control voltage of each node driving power (6) required input according to each section brightness value of tunnel and LED Tunnel Lamp power curve; Send to driving power (6) to the brightness adjustment control instruction through signal-transmitting cable again; The power output of LED Tunnel Lamp (7) is adjusted in the instruction that driving power (6) basis obtains, and feedback-related information realizes the continuous light tuning in the tunnel to illumination control computer (5).
2. a kind of highway tunnel illumination energy-saving control system according to claim 1 is characterized in that, said Fuzzy Neural-network Control module is divided into and is five layers of A～E, and be respectively: the A layer is an input layer, accepts the input of parametric variable; The B layer is that membership function generates layer, realizes the obfuscation operation; The C layer is regular former piece matching layer, calculates the fitness of every rule; The D layer is the rule conclusion layer, and identical regular consequent is carried out comprehensively; E is an output layer, realizes the operation of reverse paste; B～D layer constitutes fuzzy neural network; The tunnel inside/outside brightness, vehicle flowrate and the vehicle speed data that collect are admitted to fuzzy neural network, in conjunction with the theory demands model of brightness in the hole, realize the control to brightness in the hole, tunnel.
3. a kind of highway tunnel illumination energy-saving control system according to claim 1; It is characterized in that, said driving power be VCCS (VCCS) the brilliance control pattern, utilize a kind of output current controllable electric power of direct-flow signal voltage control output current mean variation; It is directly taken a sample current signal after isolate the occupation efficiency that amplifies control power supply primary switch pipe; Isolating transformer converts dc pulse current into after the electric energy of different occupation efficiencys is isolated; After low pass filter filtering, convert the direct current that size changes with control signal into, thus the output current of control power supply.
4. a kind of highway tunnel illumination energy-saving control system according to claim 3 is characterized in that, high impedance input circuit is adopted in the control input end of said driving power; Under the prerequisite that does not reduce input impedance, adopt special Interference Cancellation formula circuit.
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Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102802326A (en) * | 2012-09-12 | 2012-11-28 | 湖南新航程智能测控技术有限公司 | Dual-lamp tunnel lighting energy-saving controller and control method |
| CN103249229A (en) * | 2013-05-15 | 2013-08-14 | 重庆星河光电科技有限公司 | Tunnel illumination control method and system |
| CN104066243A (en) * | 2014-06-13 | 2014-09-24 | 长安大学 | Tunnel LED illumination control system and method |
| CN104266823A (en) * | 2014-10-26 | 2015-01-07 | 北京工业大学 | Daytime tunnel portal section lighting standard calculating method based on safety visual cognition and system thereof |
| CN104302050A (en) * | 2014-10-08 | 2015-01-21 | 西南交通大学 | Expressway tunnel group illumination system control system and method |
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
| CN104808154A (en) * | 2014-08-25 | 2015-07-29 | 上海路辉电子科技有限公司 | Street lamp fault type determining method based on fuzzy set theory |
| WO2016066019A1 (en) * | 2014-10-26 | 2016-05-06 | 北京工业大学 | Safe visual recognition-based method for standard measurement/calculation of daytime tunnel entrance section illumination, and system thereof |
| WO2016066020A1 (en) * | 2014-10-26 | 2016-05-06 | 北京工业大学 | Safe visibility-based method and system for measuring and estimating lighting standards in tunnel midsections |
| CN106255259A (en) * | 2016-07-26 | 2016-12-21 | 浙江大学 | A kind of inverse-excitation type LED drive circuit based on BP neuron network PI controller control method |
| CN106897539A (en) * | 2017-03-17 | 2017-06-27 | 华东交通大学 | A kind of vcehicular tunnel interlude based on lamp distribution data interlocks cloth lamp optimization model |
| CN107124798A (en) * | 2017-06-27 | 2017-09-01 | 山西省交通科学研究院 | A kind of freeway tunnel intelligent dimming method and system based on many reference amounts |
| WO2017215508A1 (en) * | 2016-06-15 | 2017-12-21 | 京东方科技集团股份有限公司 | Color temperature adjusting method and apparatus, light source and display device |
| CN108495407A (en) * | 2018-03-28 | 2018-09-04 | 合肥云智物联科技有限公司 | A kind of LED control system for tunnel illumination |
| CN108650734A (en) * | 2018-05-18 | 2018-10-12 | 阜阳师范学院 | A kind of novel energy-conserving tunnel illumination control system and design method |
| CN108882487A (en) * | 2018-08-27 | 2018-11-23 | 广东工业大学 | A kind of automobile, vehicle-mounted dimming device, equipment and its light-dimming method |
| CN108901110A (en) * | 2018-08-03 | 2018-11-27 | 重庆交通大学 | Energy-saving vcehicular tunnel equivalent illumination control system |
| CN109840594A (en) * | 2018-10-23 | 2019-06-04 | 广东省路桥建设发展有限公司 | Expressway Tunnel outer reticle circle border monitoring method and system |
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| CN115150984A (en) * | 2022-07-14 | 2022-10-04 | 惠州市慧昊光电有限公司 | LED lamp strip and control method thereof |
| CN115623641A (en) * | 2022-10-18 | 2023-01-17 | 广西交科集团有限公司 | Tunnel dimming control method and system based on millimeter wave radar detection |
| CN115968071A (en) * | 2022-01-30 | 2023-04-14 | 河北省交通规划设计研究院有限公司 | Tunnel lighting system with adjustable brightness |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201017222Y (en) * | 2006-12-22 | 2008-02-06 | 成都西南交大科技园管理有限责任公司 | Car tunnel electromechanics monitoring intelligent region controller |
| CN101437343A (en) * | 2008-12-18 | 2009-05-20 | 重庆交通科研设计院 | Fuzzy control method for highway tunnel illumination |
-
2011
- 2011-01-07 CN CN2011100025772A patent/CN102595679A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201017222Y (en) * | 2006-12-22 | 2008-02-06 | 成都西南交大科技园管理有限责任公司 | Car tunnel electromechanics monitoring intelligent region controller |
| CN101437343A (en) * | 2008-12-18 | 2009-05-20 | 重庆交通科研设计院 | Fuzzy control method for highway tunnel illumination |
Non-Patent Citations (1)
| Title |
|---|
| 肖华等: "基于模糊神经网络的无线隧道照明节能控制系统", 《电子技术应用》, no. 7, 31 July 2009 (2009-07-31) * |
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| CN102802326A (en) * | 2012-09-12 | 2012-11-28 | 湖南新航程智能测控技术有限公司 | Dual-lamp tunnel lighting energy-saving controller and control method |
| CN103249229B (en) * | 2013-05-15 | 2015-10-28 | 重庆星河光电科技有限公司 | A kind of tunnel lighting control method and system |
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| WO2016066018A1 (en) * | 2014-10-26 | 2016-05-06 | 北京工业大学 | Safe visual recognition-based method for standard measurement/calculation of daytime tunnel entrance section illumination, and system thereof |
| WO2016066020A1 (en) * | 2014-10-26 | 2016-05-06 | 北京工业大学 | Safe visibility-based method and system for measuring and estimating lighting standards in tunnel midsections |
| US10452929B2 (en) | 2014-10-26 | 2019-10-22 | Beijing University Of Technology (CN) | Illumination standard calculation method and system for a tunnel entrance section in daytime based on safe visual recognition |
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
| US10568178B2 (en) | 2016-06-15 | 2020-02-18 | Boe Technology Group Co., Ltd. | Color temperature adjustment method and device, light source, display apparatus |
| WO2017215508A1 (en) * | 2016-06-15 | 2017-12-21 | 京东方科技集团股份有限公司 | Color temperature adjusting method and apparatus, light source and display device |
| CN106255259B (en) * | 2016-07-26 | 2018-05-01 | 浙江大学 | A kind of inverse-excitation type LED drive circuit based on BP neural network PI control methods |
| CN106255259A (en) * | 2016-07-26 | 2016-12-21 | 浙江大学 | A kind of inverse-excitation type LED drive circuit based on BP neuron network PI controller control method |
| CN106897539B (en) * | 2017-03-17 | 2020-03-06 | 华东交通大学 | Highway tunnel interlude crisscross cloth lamp parameter optimization model based on lamps and lanterns grading data |
| CN106897539A (en) * | 2017-03-17 | 2017-06-27 | 华东交通大学 | A kind of vcehicular tunnel interlude based on lamp distribution data interlocks cloth lamp optimization model |
| CN107124798A (en) * | 2017-06-27 | 2017-09-01 | 山西省交通科学研究院 | A kind of freeway tunnel intelligent dimming method and system based on many reference amounts |
| CN108495407A (en) * | 2018-03-28 | 2018-09-04 | 合肥云智物联科技有限公司 | A kind of LED control system for tunnel illumination |
| CN108650734A (en) * | 2018-05-18 | 2018-10-12 | 阜阳师范学院 | A kind of novel energy-conserving tunnel illumination control system and design method |
| CN108901110A (en) * | 2018-08-03 | 2018-11-27 | 重庆交通大学 | Energy-saving vcehicular tunnel equivalent illumination control system |
| CN108901110B (en) * | 2018-08-03 | 2020-03-10 | 重庆交通大学 | Energy-saving highway tunnel equivalent lighting control system |
| CN108882487A (en) * | 2018-08-27 | 2018-11-23 | 广东工业大学 | A kind of automobile, vehicle-mounted dimming device, equipment and its light-dimming method |
| CN109840594A (en) * | 2018-10-23 | 2019-06-04 | 广东省路桥建设发展有限公司 | Expressway Tunnel outer reticle circle border monitoring method and system |
| CN110662330A (en) * | 2019-10-11 | 2020-01-07 | 横店集团得邦照明股份有限公司 | Tunnel lamp dimming and color mixing method based on light induction and vehicle detection |
| CN111885772A (en) * | 2020-07-28 | 2020-11-03 | 山东滨莱高速公路有限公司 | Tunnel illumination intelligent control method, device, storage medium and system |
| CN112165747A (en) * | 2020-09-27 | 2021-01-01 | 西安工业大学 | Intelligent LED illumination regulation and control device for entrance section of expressway tunnel |
| CN112165747B (en) * | 2020-09-27 | 2024-06-07 | 西安工业大学 | Intelligent LED illumination regulation and control device for entrance section of expressway tunnel |
| CN114051303A (en) * | 2021-10-27 | 2022-02-15 | 葛洲坝集团交通投资有限公司 | Tunnel illumination control system and method |
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| CN115623641A (en) * | 2022-10-18 | 2023-01-17 | 广西交科集团有限公司 | Tunnel dimming control method and system based on millimeter wave radar detection |
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Application publication date: 20120718 |