A method for intelligent control of highway tunnel lighting

Abstract

A method for intelligent control of highway tunnel lighting, the method sets road studs on different lanes outside the tunnel entrance to detect the real-time speed of vehicles passing through each lane; sets brightness detectors outside the tunnel entrance and tunnel exit to detect the illumination at the tunnel entrance and exit; transmits the detected real-time speed and illumination value to the intelligent network edge controller; the intelligent network edge controller determines whether to dim the light according to the calculated arrival and departure time of each vehicle in different tunnel sections; and forms an illumination control strategy according to the calculated illumination values ​​of different tunnel sections; transmits the illumination control strategy to the Internet of Things dimming controller to realize dimming control of lighting equipment. The method of the present invention can control the light intensity of different sections in the tunnel according to the brightness inside and outside the tunnel, traffic volume, and driving speed, and perform "on-demand on-vehicle" dimming control under the existing tunnel lighting layout, thereby improving energy saving and reducing resource waste.

Description

Technical Field

[0001] The invention relates to a lighting control system, in particular to a tunnel lighting control method. Background Art

[0002] At present, highway tunnels have the phenomenon of "over-lighting" and "lights on all the time", and have failed to achieve refined management of tunnel lighting energy consumption and realize "on-demand" dimming control to meet the information, intelligent and scientific development path of the highway industry. Summary of the invention

[0003] The present invention solves the problems in the prior art of tunnel lighting management and control, such as single control strategy, too high or too low lighting brightness, and long-term vehicle-free lighting, which leads to a large amount of electric energy being wasted and high operating costs, and proposes a highway tunnel lighting intelligent control method.

[0004] A method for intelligently controlling lighting in a highway tunnel, characterized in that the method comprises the following steps:

[0005] S1, road spikes are set on different lanes outside the tunnel entrance to detect the real-time speed of vehicles passing through each lane; brightness detectors are set outside the tunnel entrance and tunnel exit to detect the illumination at the tunnel entrance and exit;

[0006] S2, transmits the detected real-time vehicle speed and illumination value to the intelligent connected edge controller;

[0007] S3, the intelligent network edge controller determines whether to dim the light according to the calculated earliest arrival and latest departure time of each vehicle in different tunnel sections; and forms an illumination control strategy according to the calculated illumination values ​​of different tunnel sections;

[0008] S4, transmits the illumination control strategy to the IoT dimming controller to realize dimming control of the lighting equipment;

[0009] The method for determining whether to dim the light in step S3 is as follows:

[0010] S31, calculate the earliest arrival time and the latest departure time of each vehicle at different tunnel sections, specifically:

[0011] Set the veh of the i-th vehicle i The earliest time to reach any lane and any tunnel segment k is The latest time to leave tunnel segment k is Vehicle detected by road spikes i The real-time speed is v i , the current time is t, and the maximum speed limit in the tunnel is v max , if v i ≤vmax ,but:

[0012]

[0013] Among them, s k is the distance from tunnel segment k to the detection spike, Δs k is the length of tunnel segment k;

[0014] According to the above method, based on the speed of different vehicles on different lanes detected by the road spikes, the earliest arrival and latest departure time of different vehicles in different tunnel sections are calculated, and the earliest arrival and latest departure time of the i+nth vehicle at any tunnel section k is obtained.

[0015] S32, calculate the veh of the i-th vehicle respectively i The second vehicle next to it i+1 And the third vehicle i+2 The interval time between the earliest arrival and the latest departure time of tunnel segment k is Δt1, Δt2, that is:

[0016] time- time;

[0017] time- time;

[0018] in, Time is t i Time plus calculated time; Time is t i Time plus calculated time; Time is t i Time plus calculated time;

[0019] S33, according to the calculation results of Δt1 and Δt2 in step S32, it is determined whether tunnel segment k is dimmed, and the determination method is as follows:

[0020] (a) If Δt1 and Δt2 are both less than 0, determine whether illumination adjustment is required based on the illumination value in tunnel segment k;

[0021] (b) If either Δt1 or Δt2 is less than 0, determine whether illumination adjustment is required based on the illumination value in tunnel segment k;

[0022] (c) If Δt1 and Δt2 are both greater than 0, but less than the predefined threshold Δt th, then it is preferred not to dim the light and maintain the illumination value when the first vehicle passes. However, if the illumination value in tunnel section k is lower than the set value at this time, illumination adjustment is required;

[0023] (d) If Δt1 and Δt2 are both greater than 0 and greater than the predefined threshold Δt th , in the vehicle i Δt after leaving tunnel segment k th Adjust illumination at all times;

[0024] S34, calculation of illumination value, the specific method is as follows:

[0025] Calculate the illumination value of tunnel segment k at time t using the following method:

[0026]

[0027] in, is the illumination value of tunnel section k at time t, is the illumination value outside the tunnel at time t, is the illumination value of the previous segment k of tunnel section at time t, is the illumination value of tunnel segment k at the previous moment t;

[0028] Wherein, k=1, 2, 3, 4, 5, 6 and 7, respectively representing tunnel entrance section 1, entrance section 2, transition section 1, transition section 2, middle section, exit section 1 and exit section 2;

[0029] The tunnel external illumination value The illumination values ​​detected outside the tunnel entrance are used in the tunnel entrance sections 1 and 2, and transition sections 1 and 2, and the illumination values ​​detected outside the tunnel exit are used in the exit sections 1 and 2; when k = 0, is the illumination value outside the tunnel entrance, each section of the tunnel is the set value;

[0030] The value ranges of α, β, and γ are listed in Table 1 below:

[0031] Table 1

[0032]

[0033] In addition, the values ​​of α, β, and γ satisfy the following three conditions:

[0034] (1)α≥0,β≥0,γ≥0;

[0035] (2) α+β+γ=1;

[0036] (3) The value ranges of α, β, and γ are different in different tunnel sections;

[0037] S35, according to the illumination value of tunnel segment k at the current time t calculated in step S34 above, calculate the illumination growth rate ΔRi between time t and time t-1:

[0038]

[0039] S36, generating an illumination control strategy according to the calculation results of steps S33 and S35, specifically:

[0040] (1) If (a), (b) or (c) in step S33 is satisfied and the calculated result |ΔRi| in step S35 does not exceed 5%, the illumination is kept unchanged and the control system does not send dimming information;

[0041] (2) If (a), (b) or (c) in step S33 is satisfied, according to the calculation result ΔRi∈(-∞, -5%) in step S35, the control system sends dimming information to the control device and the lighting device to lower the lighting;

[0042] (3) If (a), (b) or (c) in step S33 is satisfied, according to the calculation result ΔRi∈(5%, +∞) in step S35, the control system sends a signal to the control device and the lighting device to maintain the set basic illumination and increase the lighting;

[0043] (4) If (d) in step S33 is satisfied, regardless of whether ΔRi exceeds 5% according to the calculation result in step S35, the control system sends a message to the control device and lighting device to maintain the set basic illumination and lower the lighting.

[0044] Preferably, the Δt th =5min.

[0045] In the present invention, in the step S33, Δt1 and Δt2 are both less than 0, indicating that when the first vehicle fails to leave the tunnel segment k, the second and third vehicles have entered the tunnel segment k; if any one of Δt1 and Δt2 is less than 0, indicating that when the first vehicle fails to leave the tunnel segment k, the second or third vehicle has entered the tunnel segment k; if Δt1 and Δt2 are both greater than 0 but less than a predefined threshold Δt th , indicating that when the second or third vehicle enters tunnel section k, the first vehicle has just left tunnel section k, but the time of leaving is shorter; if Δt1, Δt2, are both greater than 0 and greater than the predefined threshold Δt th , which means that when the second or third vehicle enters tunnel section k, the first vehicle has already left tunnel section k.

[0046] The values ​​of α, β, and γ are set to ensure that the illumination in the highway tunnel ensures that the driver can smoothly adapt to the relatively dark tunnel from the bright external environment and adapt to the changes in external light when leaving the tunnel. The value range is set according to the International Tunnel Lighting Commission (CIE) and other relevant standards. In addition, in the present invention, the set values ​​are set according to the CE standard of the International Illumination Association and China's JJGD70-2004 "Highway Tunnel Design Specifications" and tunnel lighting design specifications in various regions.

[0047] The specific values ​​of α, β, and γ can be determined according to the illumination values ​​of each section outside and inside the tunnel, weather conditions, and temperature at each moment. The multiple linear regression analysis method can be used to determine the parameters α, β, and γ at each moment through a large number of experiments, and use them as input data of the enhanced regression algorithm to predict the parameter value at a certain moment, and then determine the corresponding illumination value at that moment.

[0048] The system of the present invention intelligently adjusts the tunnel lighting power according to the real-time brightness outside the tunnel, the real-time traffic flow, and the speed of the vehicle, avoiding the energy waste of "no-vehicle lighting" under low traffic volume. The tunnel uses the "follow-the-car" intelligent control technology of "lights on when the car comes and dims when the car leaves", which not only reduces the lighting cost but also prolongs the service life of the lamps. When the tunnel is in a normal lighting state, the tunnel lighting energy consumption is saved to the maximum extent. After the implementation of the vehicle-based dimming system, it can ensure that a safe and comfortable lighting effect is provided when there are cars, and the brightness of the entrance section is adjusted in real time according to the brightness outside the tunnel to avoid the "black hole" and "white hole" effects. At the same time, the Internet of Things segmented dimming control method is adopted. On the basis of realizing the dynamic "follow-the-car", by systematically managing each section of the LED tunnel lamps and the working status of the online monitoring loop, fault alarms can be realized, and the energy consumption analysis, statistics and management of the lighting system can be realized, and the manual control is transformed into intelligent control, which greatly reduces the workload of the staff and promotes the intelligent development of tunnel maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flow chart of the present invention.

[0050] Figure 2 It is a schematic diagram of the tunnel structure of the present invention.

[0051] Figure 3 Control flow chart for system illumination adjustment.

[0052] Figure 4 This is a graph showing the relationship between real-time energy consumption and traffic volume in the pilot tunnel during a certain period of time.

[0053] As can be seen in the figure:

[0054] (1) Tunnel energy consumption is not constant, but changes with the traffic volume. When the traffic volume is low, the system lowers the illumination of the lights in the tunnel, and the tunnel energy consumption decreases accordingly. Conversely, when the traffic volume is high, the system increases the illumination in the tunnel, and the tunnel energy consumption increases accordingly.

[0055] (2) When the traffic volume is lower than a certain threshold, the tunnel energy consumption will remain at a relatively fixed value, which means that the tunnel only maintains basic lighting and the energy consumption remains basically unchanged;

[0056] (3) The trend of tunnel energy consumption is basically the same as the trend of vehicle flow, which illustrates the effectiveness of the vehicle-based dimming system. DETAILED DESCRIPTION

[0057] Embodiment 1: A method for intelligent control of highway tunnel lighting is applied to a long tunnel with a length of 2000 meters, two lanes and a design speed of 80 km / h. The lengths of entrance section 1 S1, entrance section 2 S2, transition section 1 S3, transition section 2 S4, middle section S5, exit section 1 S6 and exit section 2 S7 are 80m, 80m, 160m, 160m, 1360m, 80m, 80m respectively.

[0058] S1, road spikes are installed on the two lanes outside the tunnel entrance, 160m away from the tunnel entrance. The road spikes detect the real-time speed of vehicles passing on the lanes;

[0059] The first vehicle at the tunnel entrance detects the speed v of vehicle veh1 at 8:00:00 am at time t. 1 =80km / h, calculate the earliest arrival time of tunnel entrance section 1 S1 and the latest departure time is

[0060] Then the earliest time that vehicle veh1 arrives at tunnel entrance section 1 S1 is 8:00:07, and the latest time that vehicle veh1 leaves tunnel entrance section 1 S1 is 8:00:11;

[0061] Similarly, the time when different vehicles arrive at and leave different tunnel sections is calculated based on the speed of the vehicles arriving at the tunnel on the two lanes detected by the road spikes, and the time when the i+nth vehicle arrives at and leaves any tunnel section k at the earliest and latest is obtained. Taking the first vehicle as an example, the data in Table 2 and Table 3 are as follows:

[0062] Table 2

[0063]

[0064] Table 3

[0065]

[0066] Vehicles are parallel in two lanes. The speed v of adjacent vehicles veh2 and veh3 detected by road spikes is 2 =72km / h, v 3 = 68km / h, the speed is detected at 8:00:07 and 8:02:10 respectively. Calculate the time when the two vehicles arrive at the tunnel entrance 1 section S1 at the earliest and leave at the latest:

[0067]

[0068] Then the earliest arrival time and the latest departure time of vehicle veh2 at tunnel entrance section 1 S1, and the earliest arrival time and the latest departure time of vehicle veh3 at tunnel entrance section 1 S1 are respectively:

[0069] The earliest arrival time of veh2 is 8:00:14;

[0070] The latest departure time of veh2 is 8:00:19;

[0071] The earliest arrival time of veh3 is 8:02:17;

[0072] The latest departure time of veh3 is 8:02:23;

[0073] Calculate the time difference Δt1, Δt2 between the time when the second vehicle veh2 and the third vehicle veh3 arrive at the tunnel section 1 earliest and the time when the adjacent first vehicle veh1 leaves the tunnel entrance section 1 latest:

[0074] Δt1 is: 8:00:14-8:00:11, the difference is 3s;

[0075] Δt1 is: 8:02:17-8:00:11, difference 126s;

[0076] Similarly, the time differences Δt1, Δt2 of the first, second and third vehicles in different tunnel sections k are calculated and listed in Table 4 below:

[0077] Table 4

[0078]

[0079] According to the calculation results in Table 4 above:

[0080] When the first car leaves the entrance 1 segment S1 and the entrance 2 segment S2, the second car and the third car have not reached the S1 and S2 segments, and Δt1 and Δt2 are both less than Δt th, then it is preferred not to dim the light and maintain the illumination value when the first vehicle passes. However, if the illumination value in tunnel sections S1 and S2 is lower than the set value at this time, illumination adjustment is required;

[0081] When the first vehicle has not left transition section 1 S3, the second vehicle has arrived, but the third vehicle has not yet arrived at this section, it is necessary to determine whether illumination adjustment is required based on the illumination value in tunnel section S3;

[0082] When the first car leaves transition 2 segment S4, the second and third cars have not reached segment S4, and Δt1 and Δt2 are both less than Δt th , then it is preferred not to dim the light and maintain the illumination value when the first vehicle passes. However, if the illumination value in tunnel section S4 is lower than the set value at this time, illumination adjustment is required;

[0083] When the first vehicle has not left the middle section S5, the second vehicle has arrived but the third vehicle has not yet arrived at the section, it is necessary to determine whether illumination adjustment is required based on the illumination value in the tunnel section S5;

[0084] When the first car leaves Exit 1 S6 and Exit 2 S7, the second and third cars have not reached S6 and S7, and Δt1 and Δt2 are both less than Δt th , then it is preferred not to dim the light and maintain the illumination value when the first vehicle passes. However, if the illumination value in tunnel sections S6 and S7 is lower than the set value at this time, the illumination needs to be adjusted;

[0085] According to the above S1 method, calculate the vehicle veh1-veh 1+n The earliest arrival time and the latest departure time at each section of the tunnel and And calculate Δt1 and Δt2 of the tunnel section, and determine whether to dim the light accordingly.

[0086] S2, detect the illumination value outside the tunnel entrance and tunnel exit at 8:00:00 am at time t, and set the illumination value of each section of the tunnel at time t-1, as shown in Table 5 below:

[0087] Table 5

[0088] Unit: lux

[0089]

[0090] Calculate the illumination value of tunnel entrance section 1 S1 at time t:

[0091] at this time is the external illumination value of the tunnel entrance, take α 1 =0.6,β 1 =0,γ 1 =0.4, then:

[0092]

[0093] Calculate the illumination value of section S2 at the tunnel entrance at time t:

[0094] at this time is the external illumination value of the tunnel entrance, take α 2 =0.4,β 2 =0.3,γ 2 =0.3 then:

[0095]

[0096] Calculate the illumination value of tunnel transition 1 section S3 at time t:

[0097] at this time is the external illumination value of the tunnel entrance, take α 3 =0.2,β 2 =0.3,γ 2 =0.5:

[0098]

[0099] Calculate the illumination value of tunnel transition 2 S4 at time t:

[0100] at this time is the external illumination value of the tunnel entrance, take α 4 =0.1,β 4 =0.4,γ 4 =0.5:

[0101]

[0102] Calculate the illumination value of the middle section S5 of the tunnel at time t:

[0103] at this time is the external illumination value of the tunnel entrance, take α 5 =0,β 5 =0.4,γ 5 =0.6:

[0104]

[0105] Calculate the illumination value of section S6 at tunnel exit 1 at time t:

[0106] at this time is the external illumination value of the tunnel exit, take α 6 =0.2,β 6 =0.3,γ 6 =0.5:

[0107]

[0108] Calculate the illumination value of section S7 at the tunnel exit at time t:

[0109] at this time is the external illumination value of the tunnel exit, take α 7 =0.3,β 7 =0.3,γ 7 =0.4 then:

[0110]

[0111] According to the above steps, the required illumination of each tunnel section at the current time t and t-1 is calculated, and the illumination growth rate ΔRi sent at the time t and t-1 is calculated. The calculation results are listed in the following Table 6:

[0112] Table 6

[0113] Tunnel Section Time t-1 t time Growth rate Outside the tunnel entrance and exit 100000 100000 — <![CDATA[S1]]> 80000 92000 13.33％ <![CDATA[S2]]> 40000 79600 49.75％ <![CDATA[S3]]> 20000 53880 62.88％ <![CDATA[S4]]> 10000 36552 72.64％ <![CDATA[S5]]> 5000 17621 71.62％ <![CDATA[S6]]> 8000 29286 72.68％ <![CDATA[S7]]> 10000 42786 76.63％

[0114] S3, according to the above calculation results, it can be known that ΔRi∈(5%, +∞) of each section of the tunnel, at time t, combined with the Δt1 and Δt2 calculated for each section of the tunnel, an illumination control strategy is formulated and sent to the control device and lighting equipment for adjustment;

[0115] Taking time t at 8:00:00 am as an example, t1>0, Δt2>0, and both are less than the threshold Δt set by the system. th However, the required illumination value of tunnel entrance section 1 S1 is calculated to be much higher than the illumination value at the previous moment, so the illumination value of tunnel entrance section 1 S1 should be increased.

[0116] By analogy, the illumination growth rate ΔRi of each tunnel section at time t+n is calculated respectively, and a lighting adjustment strategy is formed to send the control device and lighting equipment for adjustment, where n is set according to the tunnel traffic volume, external environment, and standard requirements, and can be set to 10min, 15min, or 1h, 2h.

[0117] According to the above method, a total of 7 sections and 71 tunnels were dimmed and renovated, with 142 single-width tunnels, and illumination control strategies for different sections of the tunnel based on vehicle speed and illumination were generated to control the lighting equipment. The energy consumption of the lamps in the middle section of the tunnel is 20%, and the standby energy consumption of the lamps in the remaining sections is 15%. The annual average daily traffic volume of the tunnel is calculated accordingly, and the energy saving ratio is estimated, which is listed in Tables 7 and 8 below. Table 7 shows the traffic flow distribution when the standby energy consumption is 15% and the corresponding estimated energy saving ratio, and Table 8 shows the traffic flow distribution when the standby energy consumption is 20% and the corresponding estimated energy saving ratio.

[0118] Table 7

[0119] Serial number Average daily traffic volume Estimated annual energy saving ratio 1 (0,500] 78.78％ 2 (500,1000] 76.69％ 3 (1000,1500] 70.29％ 4 (1500,2000] 66.13％ 5 (2000,2500] 65.73％ 6 (2500,3000] 64.00％

[0120] Table 8

[0121] Serial number Average daily traffic volume Estimated annual energy saving ratio 1 (0,500] 76.71％ 2 (500,1000] 74.91％ 3 (1000,1500] 69.40％ 4 (1500,2000] 65.82％ 5 (2000,2500] 65.47％ 6 (2500,3000] 63.99％

[0122] Example 1 shows that the method of the present invention can control the light intensity of different sections in the tunnel according to the brightness inside and outside the tunnel, traffic volume, and driving speed. Under the existing tunnel lighting layout, "on-demand" dimming control can be performed to improve energy saving and reduce resource waste.

Claims

1. A highway tunnel lighting intelligent control method, characterized in that The method comprises the following steps: S1, road spikes are set on different lanes outside the tunnel entrance to detect the real-time speed of vehicles passing through each lane; brightness detectors are set outside the tunnel entrance and tunnel exit to detect the illumination at the tunnel entrance and exit; S2, transmits the detected real-time vehicle speed and illumination value to the intelligent connected edge controller; S3, the intelligent network edge controller determines whether to dim the light according to the calculated earliest arrival and latest departure time of each vehicle in different tunnel sections; and forms an illumination control strategy according to the calculated illumination values ​​of different tunnel sections; S4, transmits the illumination control strategy to the IoT dimming controller to realize dimming control of the lighting equipment; The method for determining whether to dim in step S3 is as follows: S31, calculate the earliest arrival time and the latest departure time of each vehicle at different tunnel sections, specifically: Set the veh of the i-th vehicle i The earliest time to reach any lane and any tunnel segment k is The latest time to leave tunnel segment k is Vehicle detected by road spikes i The real-time speed is v i , the current time is t, and the maximum speed limit in the tunnel is v max , if v i ≤v max ,but: Among them, s k is the distance from tunnel segment k to the detection spike, Δs k is the length of tunnel segment k; According to the above method, based on the speed of different vehicles on different lanes detected by the road spikes, the earliest arrival and latest departure time of different vehicles in different tunnel sections are calculated, and the earliest arrival and latest departure time of the i+nth vehicle at any tunnel section k is obtained. S32, calculate the veh of the i-th vehicle respectively i The second vehicle next to it i+1 And the third vehicle i+2 The interval time between the earliest arrival and the latest departure time of tunnel segment k is Δt1, Δt2, that is: in, Time is t i Time plus calculated time; Time is t i Time plus calculated time; Time is t i Time plus calculated time; S33, according to the calculation results of Δt1 and Δt2 in step S32, it is determined whether tunnel segment k is dimmed, and the determination method is as follows: (a) If Δt1 and Δt2 are both less than 0, determine whether illumination adjustment is required based on the illumination value in tunnel segment k; (b) If either Δt1 or Δt2 is less than 0, determine whether illumination adjustment is required based on the illumination value in tunnel segment k; (c) If Δt1 and Δt2 are both greater than 0, but less than the predefined threshold Δt th , then it is preferred not to dim the light and maintain the illumination value when the first vehicle passes. However, if the illumination value in tunnel section k is lower than the set value at this time, illumination adjustment is required; (d) If Δt1 and Δt2 are both greater than 0 and greater than the predefined threshold Δt th , in the vehicle i Δt after leaving tunnel segment k th Adjust illumination at all times; S34, calculation of illumination value, the specific method is as follows: Calculate the illumination value of tunnel segment k at time t using the following method: in, is the illumination value of tunnel section k at time t, is the illumination value outside the tunnel at time t, is the illumination value of the previous segment k of tunnel section at time t, is the illumination value of tunnel segment k at the previous moment t; Wherein, k=1, 2, 3, 4, 5, 6 and 7, respectively representing tunnel entrance section 1, entrance section 2, transition section 1, transition section 2, middle section, exit section 1 and exit section 2; The tunnel external illumination value The illumination values ​​detected outside the tunnel entrance are used in the tunnel entrance sections 1 and 2, and transition sections 1 and 2, and the illumination values ​​detected outside the tunnel exit are used in the exit sections 1 and 2; when k = 0, is the illumination value outside the tunnel entrance, each section of the tunnel is the set value; The value ranges of α, β, and γ are listed in Table 1 below: Table 1 In addition, the values ​​of α, β, and γ satisfy the following three conditions: (1)α≥0,β≥0,γ≥0; (2) α+β+γ=1; (3) The value ranges of α, β, and γ are different in different tunnel sections; S35, according to the illumination value of tunnel segment k at the current time t calculated in step S34 above, calculate the illumination growth rate ΔRi between time t and time t-1: S36, generating an illumination control strategy according to the calculation results of steps S33 and S35, specifically: (1) If (a), (b) or (c) in step S33 is satisfied and the calculated result |ΔRi| in step S35 does not exceed 5%, the illumination is kept unchanged and the control system does not send dimming information; (2) If (a), (b) or (c) in step S33 is satisfied, according to the calculation result ΔRi∈(-∞, -5%) in step S35, the control system sends dimming information to the control device and the lighting device to lower the lighting; (3) If (a), (b) or (c) in step S33 is satisfied, according to the calculation result ΔRi∈(5%, +∞) in step S35, the control system sends a signal to the control device and the lighting device to maintain the set basic illumination and increase the lighting; (4) If (d) in step S33 is satisfied, regardless of whether ΔRi exceeds 5% according to the calculation result in step S35, the control system sends a message to the control device and lighting device to maintain the set basic illumination and lower the lighting.

2. A highway tunnel lighting intelligent control method as claimed in claim 1, characterized in that Preferably, the Δt th =5min.

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