CN112883548A - Dynamic tunnel dimming method - Google Patents

Dynamic tunnel dimming method Download PDF

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CN112883548A
CN112883548A CN202110056388.7A CN202110056388A CN112883548A CN 112883548 A CN112883548 A CN 112883548A CN 202110056388 A CN202110056388 A CN 202110056388A CN 112883548 A CN112883548 A CN 112883548A
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vehicle
dimming
dynamic tunnel
brightness
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CN112883548B (en
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陈科
龚绍杰
高鹏飞
罗明
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Sichuan Jiutong Zhilu Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • 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
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
    • 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
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
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Abstract

The invention belongs to the technical field of tunnel lighting, and particularly discloses a dynamic tunnel dimming method, which comprises the following steps: s1: establishing a dynamic tunnel dimming system; s2: establishing a dynamic tunnel dimming model in a dynamic tunnel dimming system; s3: and performing dynamic dimming by using the dynamic tunnel dimming model, and updating the dynamic tunnel dimming model. The invention solves the problems of low intelligent degree, lack of the function of pre-brightening the light and constant illumination time in the prior art.

Description

Dynamic tunnel dimming method
Technical Field
The invention belongs to the technical field of tunnel lighting, and particularly relates to a dynamic tunnel dimming method.
Background
The tunnel lighting technology is always an important part in tunnel safety management, on one hand, the safety and comfort of tunnel lighting need to be ensured, and on the other hand, energy conservation and environmental protection need to be achieved as much as possible, so the tunnel dimming technology comes up at the end. The tunnel dimming technology of mainstream at present is used for surveying the vehicle and arrives through installing radar and local controller additional in the tunnel to light place ahead light in advance when the vehicle arrives, extinguish car back light after leaving, realize "the car comes the light and lights, the lamp is walked along with the car, the car is walked the effect that the lamp goes out", both guarantee driving safety, save light energy again.
The prior art has the following defects:
1) the dimming process is generally simpler, the intelligent degree is low, and the light state is dynamically adjusted according to whether a vehicle is in a bright state or a dark state or not and according to factors such as the speed and the distance of the vehicle;
2) because the dimming equipment has no memory, the dimming scheme cannot be predicted from historical dimming data, and when a vehicle arrives, the light is not dimmed in advance, so that the safety hazard can be caused due to the fact that eyes are not suitable due to sudden lighting in a tunnel;
3) the time of lighting of current dimming scheme light is invariable, when the speed of coming a car is lower, probably leads to the vehicle front illumination duration not enough, causes the incident.
Disclosure of Invention
The present invention aims to solve at least one of the above technical problems to a certain extent.
Therefore, the invention aims to provide a dynamic tunnel dimming method which is used for solving the problems of low intelligent degree, lack of a function of pre-dimming light and constant illumination time in the prior art.
The technical scheme adopted by the invention is as follows:
a dynamic tunnel dimming method comprises the following steps:
s1: establishing a dynamic tunnel dimming system;
s2: establishing a dynamic tunnel dimming model in a dynamic tunnel dimming system;
s3: and performing dynamic dimming by using the dynamic tunnel dimming model, and updating the dynamic tunnel dimming model.
Further, the specific step of step S1 is:
s1-1: establishing a dynamic tunnel dimming system, and deploying dimmable equipment in a tunnel;
s1-2: acquiring a vehicle sample by using a dimmable device, and obtaining and storing vehicle arrival parameters;
s1-3: and establishing an arrival probability model according to the vehicle arrival parameters.
Further, in step S1-1, the dimmable device includes a plurality of dimming lamps, a plurality of radars, and a controller, a database is disposed inside the controller, and the controller is in communication connection with the plurality of dimming lamps and the plurality of radars, respectively;
a plurality of lamps and lanterns of adjusting luminance evenly set up inside the tunnel, and a plurality of radars evenly set up inside the tunnel.
Further, in step S1-2, the vehicle arrival parameters include an average arrival number of the vehicles, an average vehicle speed, and an average dimming brightness.
Further, in step S1-2, the formula of the average arrival number of the vehicles is:
Figure BDA0002901002560000021
in the formula, λ (t) is an average arrival number of vehicles; n is the total number of coming cars in unit days; d is the number of days in a unit; t is a time period indication quantity;
the formula for the average vehicle speed of the vehicle is:
Figure BDA0002901002560000031
where δ (t) is an average vehicle speed of the vehicle; n is the total number of coming cars in unit days; t is a time period indication quantity; v. ofiThe vehicle speed of the ith vehicle; i is a vehicle indication quantity;
the formula of the average dimming brightness of the vehicle is:
Figure BDA0002901002560000032
in the formula (I), the compound is shown in the specification,
Figure BDA0002901002560000033
for average dimming of vehiclesDegree, initialized to a softness level γ;
Figure BDA0002901002560000034
dimming brightness of the ith vehicle; n is the total number of coming cars in unit days; i is a vehicle indication quantity; t is a time period indication quantity.
Further, in step S1-3, the arrival probability model is used to predict whether the initial light is lit in advance in each time period;
the formula of the arrival probability model is:
Figure BDA0002901002560000035
in the formula, P (n, t) is the probability that x is less than or equal to n vehicles arrive within a time period t; n is the total number of coming cars in unit days; x is the total number of arriving vehicles in the time period t; p (x, t) is the probability of reaching x vehicles within a time period t; λ (t) is the average number of arrivals of the vehicle; t is a time period indication quantity.
Further, in step S2, the dynamic dimming brightness formula of the dynamic tunnel dimming model is as follows:
Figure BDA0002901002560000041
in the formula (I), the compound is shown in the specification,
Figure BDA0002901002560000042
dynamically dimming the brightness;
Figure BDA0002901002560000043
average dimming brightness of the vehicle in the vehicle arrival parameter; δ (t) is the average vehicle speed of the vehicle in the vehicle arrival parameter; dist is the farthest detectable distance of the radar in the dimmable device; cdist is the constant detection distance of the radar, and is half of the length of the constant dimming area of the radar; t is a time period indication quantity;
Figure BDA0002901002560000044
for constant access to a constant dimming zoneDimming brightness; cv is a constant vehicle speed entering a constant dimming zone;
Figure BDA0002901002560000045
an acquisition function for constant dimming brightness; v is the real-time speed of the vehicle; and l is the real-time distance between the vehicle and the radar.
Further, in step S2, the lighting time period for the arriving vehicle to enter the constant dimming area is expressed by:
Figure BDA0002901002560000046
in the formula, time (v, t) is the lamp-on time when the vehicle enters a constant dimming area; r is the separation distance of the two radars; dist is the farthest detectable distance of the radar in the dimmable device; v is the real-time speed of the vehicle; t is a time period indication quantity.
Further, the specific step of step S3 is:
s3-1: setting initial light by using an arrival probability model;
s3-2: acquiring real-time speed and real-time distance of a vehicle by using a dynamic tunnel dimming system;
s3-3: inputting the real-time speed and the real-time distance of the arriving vehicle into a dynamic tunnel dimming model, and dynamically adjusting the light brightness;
s3-4: and updating the dynamic tunnel dimming model.
Further, the specific method of step S3-1 is: and when the probability P (n, t) that x is less than or equal to n vehicles arrive within the time period t of reaching the probability model is more than or equal to phi, the lamplight is adjusted to a soft level gamma, wherein gamma is more than min and less than max/2, phi is a vehicle arrival probability threshold, min is a minimum brightness level, and max is a maximum brightness level.
The invention has the beneficial effects that:
1) the invention provides a dynamic tunnel dimming method, which is characterized in that a scientific dimming model is established by introducing more vehicle arrival parameters, the advantages of tunnel dimming are better exerted, energy conservation and environmental protection can be realized, the light comfort in a tunnel can be ensured, the driving safety is ensured, and the intelligence and the safety of a dynamic tunnel dimming system are improved;
2) the dimmable device has memorability, saves vehicle arrival parameters, can predict a dimming scheme from historical data, is provided with an arrival probability model for predicting whether initial light is lightened in advance in each time period, and improves safety;
3) and the lighting time of the light is dynamically adjusted according to the data of the vehicles arriving in real time, so that the lighting time of each vehicle is enough.
Other advantageous effects of the present invention will be described in detail in the detailed description.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flow chart of a dynamic tunnel dimming method.
Detailed Description
The invention is further described with reference to the following figures and specific embodiments. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. Functional details disclosed herein are merely illustrative of example embodiments of the invention. This invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments of the invention. When the terms "comprises," "comprising," "includes," and/or "including" are used herein, they specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, numbers, steps, operations, elements, components, and/or groups thereof.
It should also be noted that, in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed substantially concurrently, or the figures may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
It should be understood that specific details are provided in the following description to facilitate a thorough understanding of example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, systems may be shown in block diagrams in order not to obscure the examples in unnecessary detail. In other instances, well-known processes, structures and techniques may be shown without unnecessary detail in order to avoid obscuring example embodiments.
Example 1
As shown in fig. 1, the present embodiment provides a dynamic tunnel dimming method, which includes the following steps:
s1: the method comprises the following steps of establishing a dynamic tunnel dimming system:
s1-1: establishing a dynamic tunnel dimming system, and deploying dimmable equipment in a tunnel;
the dimmable device comprises a plurality of dimmable lamps, a plurality of radars and a controller, wherein a database is arranged in the controller, the controller is respectively in communication connection with the plurality of dimmable lamps and the plurality of radars, the radars are provided with speed measuring and distance measuring functions, the dimming level of the dimmable lamps is 0-max, 0 is off, max is the highest power lighting (highest brightness level), and the level is divided by max and then normalized to be between 0 and 1 in the embodiment;
the plurality of dimming lamps are uniformly arranged inside the tunnel, and the plurality of radars are uniformly arranged inside the tunnel;
s1-2: acquiring a vehicle sample by using a dimmable device, and obtaining and storing vehicle arrival parameters;
continuously recording the arrival time and speed of the vehicle for 7-10 days, storing the arrival time and speed into a database, and storing the arrival time and speed data of a new vehicle into the database every time the new vehicle comes so as to update historical data; the time length of one day is averagely divided into m time periods, each time period is n hours, namely m x n is 24h, obviously, any time of each day uniquely corresponds to a certain time period t, in order to achieve a good dimming effect, m is more than or equal to 24, namely the interval time is generally less than 1 hour, and an overlarge time interval can cause a large error, so that the dimming energy-saving effect is influenced; inquiring vehicle arrival records of a database to obtain and store vehicle arrival parameters;
the vehicle arrival parameters comprise the average arrival number, the average vehicle speed and the average dimming brightness of the vehicle;
the formula for the average number of arrivals for a vehicle is:
Figure BDA0002901002560000071
in the formula, λ (t) is an average arrival number of vehicles; n is the total number of coming cars in unit days; d is the number of days in a unit; t is a time period indication quantity;
the formula for the average vehicle speed of the vehicle is:
Figure BDA0002901002560000072
where δ (t) is an average vehicle speed of the vehicle; n is the total number of coming cars in unit days; t is a time period indication quantity; v. ofiThe vehicle speed of the ith vehicle; i is a vehicle indication quantity;
the formula of the average dimming brightness of the vehicle is:
Figure BDA0002901002560000081
in the formula (I), the compound is shown in the specification,
Figure BDA0002901002560000082
initializing the average dimming brightness of the vehicle to a soft level gamma;
Figure BDA0002901002560000083
dimming brightness of the ith vehicle; n is the total number of coming cars in unit days; i is a vehicle indication quantity; t is a time period indication quantity;
s1-3: establishing an arrival probability model according to the vehicle arrival parameters;
the arrival probability model is used for predicting whether initial light is lightened in advance in each time period, in order to avoid excessive darkness in the tunnel, the adjustable lamp should keep a low brightness (minimum brightness level) even if no vehicle exists, the minimum brightness level is set as min, when a vehicle arrives, the light needs to be lightened in advance, but the light is lightened due to min and dynamic dimming brightness
Figure BDA0002901002560000086
Large span may exist between the two, and sudden change of brightness can cause discomfort of a driver, so that the probability of vehicle arrival is predicted in advance, when the probability reaches a certain threshold value, the light is lightened to a certain soft state in advance, namely a soft level gamma, and the min < gamma < max/2;
the formula of the arrival probability model is:
Figure BDA0002901002560000084
in the formula, P (n, t) is the probability that x is less than or equal to n vehicles arrive within a time period t; n is the total number of coming cars in unit days; x is the total number of arriving vehicles in the time period t; p (x, t) is the probability of reaching x vehicles within a time period t; λ (t) is the average number of arrivals of the vehicle; t is a time period indication quantity;
s2: establishing a dynamic tunnel dimming model in a dynamic tunnel dimming system;
the dynamic dimming brightness formula of the dynamic tunnel dimming model is as follows:
Figure BDA0002901002560000085
in the formula (I), the compound is shown in the specification,
Figure BDA0002901002560000091
dynamically dimming the brightness;
Figure BDA0002901002560000092
average dimming brightness of the vehicle in the vehicle arrival parameter; δ (t) is the average vehicle speed of the vehicle in the vehicle arrival parameter; dist is the farthest detectable distance of the radar in the dimmable device; the cdist is a constant detection distance of the radar, is a half of the length of a constant dimming area of the radar, is the constant dimming area, and after entering the area, dimming brightness does not change along with the speed and distance of a vehicle any more, so that the algorithm speed is improved, a more comfortable and constant light source illumination effect is provided for the vehicle, and the safety is improved; t is a time period indication quantity;
Figure BDA0002901002560000094
the constant dimming brightness is the constant dimming brightness entering the constant dimming area; cv is a constant vehicle speed entering a constant dimming zone;
Figure BDA0002901002560000095
an acquisition function for constant dimming brightness; v is the real-time speed of the vehicle; l is the real-time distance between the vehicle and the radar;
the formula of the lighting time when the arriving vehicle enters the constant dimming area is as follows:
Figure BDA0002901002560000093
in the formula, time (v, t) is the lamp-on time when the vehicle enters a constant dimming area; r is the separation distance of the two radars; dist is the farthest detectable distance of the radar in the dimmable device; v is the real-time speed of the vehicle; t is a time period indication quantity;
s3: the dynamic tunnel dimming model is used for dynamic dimming, and is updated, and the method comprises the following specific steps:
s3-1: the method for setting the initial light by using the arrival probability model comprises the following steps:
when the probability P (n, t) that x is less than or equal to n vehicles arrive within the time period t of reaching the probability model is greater than or equal to phi, the lamplight is adjusted to a soft level gamma, gamma is less than or equal to min and less than max/2, phi is a vehicle arrival probability threshold, in the embodiment, phi is greater than or equal to 0.6, min is a minimum brightness level, and max is a maximum brightness level;
s3-2: acquiring real-time speed and real-time distance of a vehicle by using a dynamic tunnel dimming system;
s3-3: inputting the real-time speed and the real-time distance of the arriving vehicle into a dynamic tunnel dimming model, and dynamically adjusting the light brightness;
obtaining dynamic dimming brightness according to real-time speed and real-time distance of the vehicle
Figure BDA0002901002560000101
And the time (v, t) of the lighting time when the vehicle enters the constant dimming area, and sending the data back to the database, wherein as the vehicle runs, the real-time speed v of the vehicle and the real-time distance l between the vehicle and the radar change, and the radar continuously sends the latest data to the controller so as to realize dynamic dimming;
s3-4: updating the dynamic tunnel dimming model, and making the arrival time of the arriving vehicle and the constant dimming brightness entering the constant dimming area
Figure BDA0002901002560000102
And storing the constant vehicle speed cv into a database, adding 1 to the total number of vehicles in the time period, and obtaining the vehicle arrival parameters again, namely updating the dynamic tunnel dimming model.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The embodiments described above are merely illustrative, and may or may not be physically separate, if referring to units illustrated as separate components; if reference is made to a component displayed as a unit, it may or may not be a physical unit, and may be located in one place or distributed over a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: modifications of the technical solutions described in the embodiments or equivalent replacements of some technical features may still be made. And such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
The present invention is not limited to the above-described alternative embodiments, and various other forms of products can be obtained by anyone in light of the present invention. The above detailed description should not be taken as limiting the scope of the invention, which is defined in the claims, and which the description is intended to be interpreted accordingly.

Claims (10)

1. A dynamic tunnel dimming method is characterized in that: the method comprises the following steps:
s1: establishing a dynamic tunnel dimming system;
s2: establishing a dynamic tunnel dimming model in a dynamic tunnel dimming system;
s3: and performing dynamic dimming by using the dynamic tunnel dimming model, and updating the dynamic tunnel dimming model.
2. The dynamic tunnel dimming method according to claim 1, wherein: the specific steps of step S1 are as follows:
s1-1: establishing a dynamic tunnel dimming system, and deploying dimmable equipment in a tunnel;
s1-2: acquiring a vehicle sample by using a dimmable device, and obtaining and storing vehicle arrival parameters;
s1-3: and establishing an arrival probability model according to the vehicle arrival parameters.
3. The dynamic tunnel dimming method according to claim 2, wherein: in the step S1-1, the dimmable device includes a plurality of dimmable light fixtures, a plurality of radars, and a controller, a database is disposed inside the controller, and the controller is in communication connection with the plurality of dimmable light fixtures and the plurality of radars, respectively;
a plurality of lamps and lanterns of adjusting luminance evenly set up inside the tunnel, a plurality of radar evenly set up inside the tunnel.
4. The dynamic tunnel dimming method according to claim 2, wherein: in step S1-2, the vehicle arrival parameters include an average arrival number, an average vehicle speed, and an average dimming brightness of the vehicle.
5. The dynamic tunnel dimming method of claim 4, wherein: in step S1-2, the formula of the average number of vehicles reached is:
Figure FDA0002901002550000011
in the formula, λ (t) is an average arrival number of vehicles; n is the total number of coming cars in unit days; d is the number of days in a unit; t is a time period indication quantity;
the formula for the average vehicle speed of the vehicle is:
Figure FDA0002901002550000021
where δ (t) is an average vehicle speed of the vehicle; n is the total number of coming cars in unit days; t is a time period indication quantity; v. ofiThe vehicle speed of the ith vehicle; i is a vehicle indication quantity;
the formula of the average dimming brightness of the vehicle is:
Figure FDA0002901002550000022
in the formula (I), the compound is shown in the specification,
Figure FDA0002901002550000023
initializing the average dimming brightness of the vehicle to a soft level gamma;
Figure FDA0002901002550000024
dimming brightness of the ith vehicle; n is the total number of coming cars in unit days; i is a vehicle indication quantity; t is a time period indication quantity.
6. The dynamic tunnel dimming method according to claim 2, wherein: in the step S1-3, the arrival probability model is used to predict whether the initial light is lit in advance in each time period;
the formula of the arrival probability model is:
Figure FDA0002901002550000025
in the formula, P (n, t) is the probability that x is less than or equal to n vehicles arrive within a time period t; n is the total number of coming cars in unit days; x is the total number of arriving vehicles in the time period t; p (x, t) is the probability of reaching x vehicles within a time period t; λ (t) is the average number of arrivals of the vehicle; t is a time period indication quantity.
7. The dynamic tunnel dimming method according to claim 1, wherein: in step S2, the dynamic dimming brightness formula of the dynamic tunnel dimming model is:
Figure FDA0002901002550000031
in the formula (I), the compound is shown in the specification,
Figure FDA0002901002550000032
dynamically dimming the brightness;
Figure FDA0002901002550000033
average dimming brightness of the vehicle in the vehicle arrival parameter; δ (t) is the average vehicle speed of the vehicle in the vehicle arrival parameter; dist is the farthest detectable distance of the radar in the dimmable device; cdist is the constant detection distance of the radar, and is half of the length of the constant dimming area of the radar; t is a time period indication quantity;
Figure FDA0002901002550000034
the constant dimming brightness is the constant dimming brightness entering the constant dimming area; cv is a constant vehicle speed entering a constant dimming zone;
Figure FDA0002901002550000035
an acquisition function for constant dimming brightness; v is the real-time speed of the vehicle; and l is the real-time distance between the vehicle and the radar.
8. The dynamic tunnel dimming method according to claim 1, wherein: in step S2, the lighting time length formula when the vehicle enters the constant dimming area is:
Figure FDA0002901002550000036
in the formula, time (v, t) is the lamp-on time when the vehicle enters a constant dimming area; r is the separation distance of the two radars; dist is the farthest detectable distance of the radar in the dimmable device; v is the real-time speed of the vehicle; t is a time period indication quantity.
9. The dynamic tunnel dimming method according to claim 1, wherein: the specific steps of step S3 are as follows:
s3-1: setting initial light by using an arrival probability model;
s3-2: acquiring real-time speed and real-time distance of a vehicle by using a dynamic tunnel dimming system;
s3-3: inputting the real-time speed and the real-time distance of the arriving vehicle into a dynamic tunnel dimming model, and dynamically adjusting the light brightness;
s3-4: and updating the dynamic tunnel dimming model.
10. The dynamic tunnel dimming method of claim 9, wherein: the specific method of the step S3-1 comprises the following steps: and when the probability P (n, t) that x is less than or equal to n vehicles arrive within the time period t of reaching the probability model is more than or equal to phi, the lamplight is adjusted to a soft level gamma, wherein gamma is more than min and less than max/2, phi is a vehicle arrival probability threshold, min is a minimum brightness level, and max is a maximum brightness level.
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