CN106793286B - A kind of tunnel illumination intelligent control method and system based on information of vehicles statistics - Google Patents
A kind of tunnel illumination intelligent control method and system based on information of vehicles statistics Download PDFInfo
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- CN106793286B CN106793286B CN201611160473.3A CN201611160473A CN106793286B CN 106793286 B CN106793286 B CN 106793286B CN 201611160473 A CN201611160473 A CN 201611160473A CN 106793286 B CN106793286 B CN 106793286B
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
Abstract
The invention discloses a kind of tunnel illumination intelligent control method based on information of vehicles statistics and system, its rate-determining steps to include：Statistics quarterly determines the Time segments division reference time in representative 12 days by the vehicle essential information in tunnel, car flow information and the time according to used in minimum speed vehicles while passing tunnel, and period and then respectively formulation daytime period and period at night different tunnel illumination intelligent control scheme are defined by entering the time intervals of tunnel Adjacent vehicles and the comparative result of Time segments division reference time.The present invention is according to the statistical result by tunnel information of vehicles, find out daytime period and the partial node of period at night, different control programs is taken to the lighting system in two period tunnels, on the basis of energy consumption is saved, it is ensured that the stability of lighting system is to extend the service life of tunnel illuminating system.
Description
Technical field
The present invention relates to tunnel illuminating system control technology field, more particularly to a kind of tunnel based on information of vehicles statistics
Illuminate intelligent control method and system.
Background technology
Road tunnel illumination control method mainly has manually control, timing control, automatically controls this 3 kinds of controlling parties
Formula.
Manually control is to be made choice by tunnel monitoring personnel according to the specific traffic-operating period and weather condition in tunnel
The manual open and close lighting loop of property.This control mode is single, and process is cumbersome, wastes a large amount of human resources, and tunnel illumination control
Scheme processed security risk can not easily occur with current traffic situation and weather condition Auto-matching.
Timing control is to change one kind of lighting loop operating status according to different periods in the difference in season and one day
Control mode, it can provide corresponding measure to the accident or fire condition occurred in tunnel.This control mode is although right
The working condition of different lighting loops has done the finer division of labor in one day, but the control mode is without considering vehicle flowrate situation, no
Whether there is according to vehicle and brightness is adjusted, simply in the different periods, adjust different brightness, energy-saving effect is not notable.
Automatically control and refer to obtain the number such as tunnel the luminance of outer caves and tunnel car speed and the volume of traffic in real time using sensor
According to dimming, realize " on demand illuminate " to brightness in Tunnel.
With the development of LED stepless dimming technologies, numerous research staff attempt to apply various intelligent control technologies certainly
Autocontrol system, in tunnel illumination field, most lighting systems are come using the control program of " car is bright into lamp, and it is dark that car walks lamp "
The energy saving of tunnel illumination is realized to greatest extent.But according to tunnel actual traffic amount statistics, daytime sometime
In section, vehicle flowrate is larger, the time interval between adjacent two vehicles into tunnel is shorter, the number that lamps and lanterns can be caused to dim
More frequently, and the time dimmed each time is very short, there may come a time when that only the time of 1S dims tunnel illumination lamps and lanterns.This will
Tunnel illuminating system can be caused frequently to adjust brightness, the stability of system can be reduced.
In conclusion according to the actual information of vehicle flowrate in tunnel to tunnel illumination control technology in-depth research urgently into
OK, to ensure that tunnel illuminating system is functionally safe and reliable, and ensure that light adjusting system is stable.
The content of the invention
In view of insufficient existing for prior art, the invention aims to provide a kind of tunnel based on information of vehicles statistics
Intelligent control method is illuminated, to solve frequently to adjust for tunnel brightness in existing dimming control technique, causes system stability
The problem of reduction.
To achieve these goals, technical solution of the present invention is as follows：
A kind of tunnel illumination intelligent control method based on information of vehicles statistics, it is characterised in that its step includes：
S01, target date screening：Choose vehicle pass-through situation is representative in each season n days；
S02, calculating vehicle information：Vehicle Speed and vehicle flowrate in date selected by statistics daily by tunnel are believed
Breath, draws daily Vehicle Speed distribution situation；
S03, extraction Time segments division reference time T1：Vehicle Speed information is extracted from the information of vehicles counted,
Integrating tunnel length, draws by the way that minimum speed vehicle is calculated into and out of the time used in tunnel, and using this time as the period
Divide reference time T1；
S04, calculate the time interval T that vehicle enters tunnel2：Information of vehicle flowrate is extracted from the information of vehicles counted,
And calculate daily into the time interval T between adjacent two vehicle in tunnel2；
S05, Time segments division：If in n days in daily same time region, all vehicles enter the time interval in tunnel
T2Both less than described Time segments division reference time T1, i.e. T2＜ T1, then it is daytime period to define the time zone；Otherwise it is defined as
Period at night；
S06, formulate daytime period control program：In daytime period, with tunnel the luminance of outer caves, information of vehicle flowrate, vehicle row
Based on sailing speed data, the brightness according to needed for each section of tunnel illumination proper calculation tunnel, adjusts the lamp brightness in each section of tunnel；
S07, formulate period at night control program：It is bright needed for each section of tunnel when there is vehicle to enter tunnel in period at night
The computational methods of degree are consistent with daytime period, when in tunnel without vehicle by when, the brightness of each section of all lamps and lanterns is adjusted to low energy consumption
State.
It is another object of the present invention to provide a kind of tunnel illumination control system based on above-mentioned design of control method, its
It is characterized in that, it includes：
Server, intensity collection device, coil vehicle detector, video monitoring system, LED light adjusting controllers, LED is dimmed to shine
Bright lamp and fiber optic network；The light modulation server by fiber optic network and the intensity collection device, coil vehicle detector, regard
Frequency monitoring system connects, and sends control program, the LED brightness adjustment controls to the LED light adjusting controllers by fiber optic network
The brightness regulation of each section of all lamps and lanterns in device control tunnel.
Further, the light modulation server includes：
Target date screening module：Choose vehicle pass-through situation is representative in each season n days；
Message processing module：The vehicle travel speed data and vehicle flowrate data gathered according to sensor, draws daily
Vehicle Speed distribution situation；
Time segments division module：According to the data processed result of message processing module, daily different time sections are respectively divided
For daytime period or period at night；
Control program formulates module：Division result according to Time segments division module to daily each time zone, is formulated respectively
Daytime period tunnel illuminating system control program and period at night tunnel illuminating system control program.
Compared with prior art, beneficial effects of the present invention：
1st, the present invention determines daytime period and night according to the statistical property of the data such as tunnel actual vehicle speed, vehicle flowrate
The timing node of late period, uses different lighting control modes to avoid day time period because wagon flow for two periods
Measure big, two neighboring vehicle into tunnel time interval it is short caused by tunnel lamp light modulation frequently and lamps and lanterns to dim the time short
Situation.
2nd, control method of the present invention is compared with common " car is bright into lamp, and it is dark that car walks lamp " method, reduces additional electrical
It can waste, both meet the needs of tunnel internal brightness, and also ensure that the stabilization of tunnel illuminating system.
Brief description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments described in application, for those of ordinary skill in the art, without creative efforts,
Other attached drawings can also be obtained according to these attached drawings.
Fig. 1 is the flow diagram of the present invention；
Fig. 2 (a) is cloudy turn to fine date Vehicle Speed distribution map；
Fig. 2 (b) turns light rain date Vehicle Speed distribution map for rain and snow mixed；
Fig. 2 (c) is fine date Vehicle Speed distribution map；
Fig. 2 (d) is fine weekend dates Vehicle Speed distribution map；
Fig. 2 (e) is cloudy weekend dates Vehicle Speed distribution map；
Fig. 2 (f) is clear to light rain date Vehicle Speed distribution map；
Fig. 2 (g) is phase festivals or holidays Vehicle Speed distribution map light rain to cloudy；
Fig. 2 (h) is cloudy turn to light rain date Vehicle Speed distribution map；
Fig. 2 (i) is light rain date Vehicle Speed distribution map；
Fig. 2 (j) turns cloudy date Vehicle Speed distribution map for shower；
Fig. 2 (k) clears up weekend dates Vehicle Speed distribution map for rain and snow mixed；
Fig. 2 (l) is moderate to light rain date Vehicle Speed distribution map；
Fig. 3 (a) is the time interval distribution map that cloudy turn to fine date Adjacent vehicles enter tunnel；
Fig. 3 (b) is that rain and snow mixed turns the time interval distribution map that light rain date Adjacent vehicles enter tunnel；
Fig. 3 (c) is the time interval distribution map that fine date Adjacent vehicles enter tunnel；
Fig. 3 (d) is the time interval distribution map that fine weekend dates Adjacent vehicles enter tunnel；
Fig. 3 (e) is the time interval distribution map that cloudy weekend dates Adjacent vehicles enter tunnel；
Fig. 3 (f) is the time interval distribution map that clear to light rain date Adjacent vehicles enter tunnel；
Fig. 3 (g) is the time interval distribution map that phase festivals or holidays Adjacent vehicles light rain to cloudy enter tunnel；
Fig. 3 (h) is the time interval distribution map that cloudy turn to light rain date Adjacent vehicles enter tunnel；
Fig. 3 (i) is the time interval distribution map that light rain date Adjacent vehicles enter tunnel；
Fig. 3 (j) is that shower turns the time interval distribution map that cloudy date Adjacent vehicles enter tunnel；
Fig. 3 (k) be rain and snow mixed clear up weekend dates Adjacent vehicles enter tunnel time interval distribution map；
Fig. 3 (l) is the time interval distribution map that moderate to light rain date Adjacent vehicles enter tunnel；
Fig. 4 is the tunnel illuminating system light adjusting system schematic diagram in the present invention；
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, is clearly and completely described technical scheme, it is clear that described embodiment is that a part of the invention is real
Example is applied, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creation
Property work under the premise of all other embodiments obtained, belong to the scope of protection of the invention.
Data statistics in the present embodiment is said with the vehicle flowrate data instance in Tonghua, Jilin Province city Chi Bai tunnels
It is bright.
Fig. 1 is tunnel illumination intelligent control method flow chart of the present invention based on information of vehicles statistics, its step includes：
S01, target date screening：Choose representative 12 days of vehicle pass-through situation in each season.It is described to have
Representational date selection principle is：Comprising three kinds of working day, weekend and vacation date types, and each date type includes
A variety of weather conditions, the weather condition include at least the various representative weather conditions such as fine day, the skies, rainy day.Figure
2nd, Fig. 3 gives several typical weather conditions.
S02, calculating vehicle information：Vehicle Speed and vehicle flowrate in date selected by statistics daily by tunnel are believed
Breath, draws daily Vehicle Speed distribution situation.At a certain distance from wagon detector is installed on away from tunnel portal outside, car
Detector can detect all vehicles into tunnel, and can record and preserve every Vehicle Speed.Examined according to vehicle
The information of device detection is surveyed, to dividing daily into the data such as the car speed distribution situation in tunnel and vehicle flowrate situation in 12 days
Analysis is handled.Coil vehicle detector, microwave vehicle checker etc. can be selected in the wagon detector, does not limit herein.
S03：Extract Time segments division reference time T1：By extracting vehicle speed information in statistics, and calculate daily most
Low row sails the time used in velocity vehicle into and out of tunnel, and Time segments division reference time T is used as using the time1.Fig. 2 (a)~Fig. 2
(l) the car speed distribution situation for being described 12 days.From the statistic analysis result, minimum car speed is flat in 12 days
Average is 15km/h.In red cypress tunnel, at 500 meters before tunnel portal, red cypress tunnel total length is wagon detector
1878 meters, then Tunnel outer the distance between wagon detector and tunnel exit is 2378 meters, and vehicle is represented in tunnel with this distance
Operating range in road.Then detect that vehicle rolls the tunnel required time away from by public affairs into tunnel to vehicle from wagon detector
Formula T1=vehicle operating range ÷ is averaged minimum speed, and T can be calculated1For 9.5 minutes or so.
S04：Calculate vehicles while passing tunnel time interval T2：By extracting information of vehicle flowrate in statistics, and calculate daily
Time interval T between adjacent two vehicle in tunnel2。
S05：Time segments division：If in 12 day in daily same time region, the time between all adjacent two vehicles
It is spaced T2Both less than described Time segments division reference time T1, i.e. T2＜ T1, then it is daytime period to define the time zone；Otherwise it is fixed
Justice is the period at night.The present invention is in the application for red cypress tunnel, if a certain identical time zone daily among 12 days
In domain, all two neighboring vehicles enter the time interval T between tunnel2Respectively less than 10 minutes, then within this period, into
Enter that the number of vehicles in tunnel is relatively more, and the time interval between two neighboring vehicle is short, can be defined as day time period.
S06：Formulate daytime period control program：In daytime period, with tunnel the luminance of outer caves, vehicle flowrate, vehicle traveling speed
Degree etc. is based on data, the brightness according to needed for each section of tunnel illumination proper calculation tunnel, adjusts the lamp brightness in each section of tunnel.
S07：Formulate period at night control program：In period at night, when there is car to enter tunnel, brightness needed for each section of tunnel
Computational methods it is consistent with daytime period, when in tunnel without car, the brightness of each section of all lamps and lanterns in tunnel is adjusted to low energy consumption state.
Instantiation：
Fig. 3 (a)~Fig. 3 (l) is statistical result of the two neighboring vehicle in described 12 days into the time interval in tunnel.
This analysis of statistical results is shown：
Fig. 3 (d), 3 (e), 3 (f), 3 (i), 3 (j) is in the period 5:00 to 21:Between 00, all two neighboring vehicles it
Between time interval be less than 10 minutes；
Fig. 3 (c), 3 (k) is in the period 6:00 to 21:Between 00, the time interval between all two neighboring vehicles is less than
10 minutes；
Fig. 3 (l) is in the period 4:00 to 20:Between 00, the time interval between all two neighboring vehicles is less than 10 points
Clock；
Fig. 3 (b), 3 (g) is in the period 5:00 to 20:Between 00, the time interval between all two neighboring vehicles is less than
10 minutes；
Fig. 3 (a) is in the period 6:00 to 20:Between 00, the time interval between all two neighboring vehicles is less than 10 points
Clock；
Fig. 3 (h) is in the period 4:00 to 22:Between 00, the time interval between all two neighboring vehicles is less than 10 points
Clock.
It follows that the statistical conditions under comprehensive every kind of weather condition, it is known that 6:00 to 20:Between 00, in 12 days
It is both less than 10 minutes into the time interval between the two neighboring vehicle in tunnel, and the vehicle fleet size in the period is more than
Other times section.Therefore by 6:00 to 20:00 is defined as the day time period under the season.Certainly, in 1 year under different seasons
Statistical conditions it is slightly different, but be all daytime certain time period in, vehicle flowrate is relatively large, and adjacent into the two of tunnel
Time interval between a vehicle is shorter.In this case, for the stability of maintenance system, extend lifetime of system, then do not have
Be necessary in a short time without car in the case of frequently regulating system to low energy consumption state.
The light-dimming method schematic diagram of section and night hours section between Fig. 4 describes tunnel illuminating system during the day.The tunnel
Road lighting system includes：Dim server, intensity collection device, coil vehicle detector, video monitoring system, LED brightness adjustment controls
Device, LED illumination lamp and fiber optic network, pass through fiber optic network and the intensity collection device, coil vehicle detector, video monitoring
System connects, and sends control program, the LED light adjusting controllers control to the LED light adjusting controllers by fiber optic network
The brightness regulation of lamps and lanterns in tunnel.
The light modulation server includes：Target date screening module：Choosing vehicle pass-through situation in each season has generation
N days of table；Message processing module：The vehicle travel speed data and vehicle flowrate data gathered according to sensor, draws every
Day Vehicle Speed distribution situation；Time segments division module：, will be daily different according to the data processed result of message processing module
Period is respectively divided into daytime period or period at night；Control program formulates module：According to Time segments division module to daily
The division result of each time zone, daytime period tunnel illuminating system control program and night are formulated according to tunnel illumination specification respectively
Late period tunnel illuminating system control program.
Between during the day in section, each section of brightness is with the luminance of outer caves of intensity collection device collection, coil car in Tunnel
Based on the car speed of detector collection and the vehicle flowrate data of statistics, drawn according to tunnel illumination proper calculation, such as
Shown in solid box on the left of Fig. 4.By 0:00 to 6:00 and 20:00 to 24:00 is defined as night hours section, in the period
It is interior, when thering is the car to enter tunnel, the adjusting method (solid box such as on the left of Fig. 4 consistent with the light-dimming method on daytime of brightness in tunnel
It is shown), when not having vehicle in tunnel when driving, the brightness of tunnel intraoral illumination lamps and lanterns can be adjusted to low energy consumption state by light adjusting system
(generally the 10% of rated power, as shown in the dotted line frame on the right side of Fig. 4).
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe is described in detail the present invention with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that：Its according to
Can so modify to the technical solution described in foregoing embodiments, either to which part or all technical characteristic into
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme.
Claims (8)
1. a kind of tunnel illumination intelligent control method based on information of vehicles statistics, it is characterised in that step includes：
S01, target date screening：Choose vehicle pass-through situation is representative in each season n days；
S02, calculating vehicle information：Daily by the Vehicle Speed and information of vehicle flowrate in tunnel in date selected by statistics,
Draw daily Vehicle Speed distribution situation；
S03, extraction Time segments division reference time T1：Vehicle Speed information is extracted from the information of vehicles counted, with reference to tunnel
Road length, refers to by the way that minimum speed vehicle is calculated into and out of the time used in tunnel, and using this time as Time segments division
Time T1；
S04, calculate the time interval T that vehicle enters tunnel2：Information of vehicle flowrate is extracted from the information of vehicles counted, and is calculated
Daily into the time interval T between adjacent two vehicle in tunnel2；
S05, Time segments division：If in n days in daily same time region, all vehicles enter the time interval T in tunnel2All
Less than Time segments division reference time T1, i.e. T2＜ T1, then it is daytime period to define the time zone；Otherwise it is defined as night
Period；
S06, formulate daytime period control program：In daytime period, with tunnel the luminance of outer caves, information of vehicle flowrate, vehicle traveling speed
Based on degrees of data, the brightness according to needed for each section of tunnel illumination proper calculation tunnel, adjusts the lamp brightness in each section of tunnel；
S07, formulate period at night control program：In period at night, when there is vehicle to enter tunnel, brightness needed for each section of tunnel
Computational methods are consistent with daytime period, when in tunnel without vehicle by when, the brightness of each section of all lamps and lanterns is adjusted to low energy consumption state.
2. tunnel illumination intelligent control method according to claim 1, it is characterised in that：Having in the step S01
Representational date selection principle is：Comprising three kinds of working day, weekend and vacation date types, and each date type includes
A variety of weather conditions；And target date number of days n is 12.
3. tunnel illumination intelligent control method according to claim 1, it is characterised in that：The step S02, utilizes vehicle
Detector is acquired the Vehicle Speed in tunnel and information of vehicle flowrate, obtains Vehicle Speed information, and analyze
Vehicle Speed distribution situation.
4. tunnel illumination intelligent control method according to claim 1, it is characterised in that：The step S03, according to S02
The Vehicle Speed information of statistics, extracts daily minimum speed and average minimum speed is calculated in n days, further according to car
Time segments division reference time T is calculated in operating range and the average minimum speed in tunnel1, T1=vehicle travels
Distance ÷ is averaged minimum speed.
5. tunnel illumination intelligent control method according to claim 1, it is characterised in that：The step S06, outside Tunnel
Brightness is gathered by the light intensity detector outside tunnel portal；The tunnel illumination specification is that in August, 2014 is promulgated
《Highway tunnel illumination design details JTG/T D70/2-01-2014》.
6. tunnel illumination intelligent control method according to claim 4, it is characterised in that：The length of tunnel is disposed on
Wagon detector outside tunnel portal is the distance between to tunnel exit.
7. a kind of tunnel illumination control system based on design of control method described in claim 1, it is characterised in that it includes：
Dim server, intensity collection device, coil vehicle detector, video monitoring system, LED light adjusting controllers, LED illumination lamp and
Fiber optic network；The light modulation server passes through fiber optic network and the intensity collection device, coil vehicle detector, video monitoring system
System connection, and control program is sent to the LED light adjusting controllers by fiber optic network, the LED light adjusting controllers control tunnel
The brightness regulation of each section of all lamps and lanterns in road.
8. tunnel illumination control system according to claim 7, it is characterised in that：The light modulation server includes：
Target date screening module：Choose vehicle pass-through situation is representative in each season n days；
Message processing module：The vehicle travel speed data and vehicle flowrate data gathered according to sensor, draws daily vehicle
Travel speed distribution situation；
Time segments division module：According to the data processed result of message processing module, daily different time sections are respectively divided into white
Its period or period at night；
Control program formulates module：Division result according to Time segments division module to daily each time zone, formulates daytime period
Tunnel illuminating system control program and period at night tunnel illuminating system control program, it is each according to tunnel illumination proper calculation tunnel
The brightness of Duan Suoxu is simultaneously sent to LED light adjusting controllers, by the brightness of LED light adjusting controllers control LED illumination lamp.
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| CN107567141B (en) * | 2017-09-18 | 2019-06-18 | 广西交通设计集团有限公司 | Tunnel lighting control method based on technology of Internet of things and big data technology |
| CN108901101B (en) * | 2018-08-07 | 2020-11-10 | 河南云拓智能科技有限公司 | Control method of cloud central control system |
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| CN201805589U (en) * | 2010-07-20 | 2011-04-20 | 杭州恩迪照明科技有限公司 | Video monitoring-based light dimming energy-saving system |
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
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| US10499477B2 (en) * | 2013-03-18 | 2019-12-03 | Signify Holding B.V. | Methods and apparatus for information management and control of outdoor lighting networks |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201805589U (en) * | 2010-07-20 | 2011-04-20 | 杭州恩迪照明科技有限公司 | Video monitoring-based light dimming energy-saving system |
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
Non-Patent Citations (1)
| Title |
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| 隧道照明闭环反馈智慧控制系统;秦莉等;《光学精密工程》;20150930;第23卷(第9期);第2473-2481页 * |
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