Tunnel illumination energy-saving control system and method for unbalanced traffic flow

Abstract

The invention relates to an unbalanced traffic flow-oriented tunnel illumination energy-saving control system and a method thereof, and belongs to the technical field of tunnel intelligent illumination control. By constructing a correlation model between different traffic flow distribution characteristics and adjacent vehicle distances, according to a dynamic relation between the vehicle distances and parking distances, a lighting control mode and a control area are adjusted in good time, and the aim of achieving energy-saving benefits is achieved. A method of combining real-time traffic volume monitoring and prediction evaluation is adopted to determine a decision time interval of illumination control dynamic adjustment and a relative position of a control area and a monitoring point under an unbalanced traffic flow condition, so that a safe and energy-saving operation mode under a current traffic flow characteristic is ensured. According to the method, the problems of how to automatically identify the energy-saving control mode under the unbalanced traffic flow and how to automatically adjust the control area according to different traffic flow characteristics so as to meet actual requirements are solved. Meanwhile, the method is also suitable for on-demand illumination intelligent control and time sequence control modes and the like in a traditional loop control mode.

Description

Technical Field

[0001] The present invention belongs to the technical field of tunnel intelligent lighting control, and relates to a tunnel lighting energy-saving control system and method thereof for unbalanced traffic flow. Background Art

[0002] With the increasing number of highway tunnels, the operating costs of tunnel lighting are rising. Driven by the country's "carbon peak and carbon neutrality" dual carbon policy and the dual leadership of digital technology, the adoption of new, efficient and highly reliable intelligent control technology has become the mainstream trend of current energy-saving control. Given that traditional timing control can no longer meet the needs of energy-saving and intelligent levels, the "follow-up with the car" control technology implemented in low traffic scenarios has gradually gained industry recognition. However, this technology is mainly suitable for sections in some remote areas with significantly low traffic characteristics. For the high or uneven traffic volume that is common on highways in most parts of the country, how to use the intelligent control technology that follows the car to achieve highly reliable, safe and energy-saving lighting still faces a technical gap.

[0003] At present, the mainstream control technologies in the field of tunnel lighting mainly include several modes such as time sequence control, intelligent control based on the brightness outside the tunnel, and on-vehicle control for low traffic volume. Time sequence control mainly divides the control period into multiple stages based on weather conditions and different time periods of the day, and each stage is controlled according to different brightness levels. Through more detailed division, the control accuracy can be improved. However, this control method defaults to traffic volume as a fixed parameter and time as a control variable. In view of the different effects of the actual brightness outside the tunnel on the brightness inside the tunnel under different seasons and weather conditions, even in the same time period, a slight change in the brightness outside the tunnel will have different effects on the brightness inside the tunnel, resulting in this control method being relatively extensive and limited in improving the accuracy and energy saving level of energy-saving control.

[0004] Combining brightness control with brightness parameters outside the tunnel based on intelligent control of brightness outside the tunnel can more accurately reflect the corresponding relationship between the brightness level inside the tunnel and the brightness outside the tunnel. However, when there are different levels of traffic in the tunnel at different time periods, the brightness may not meet the lighting needs under different traffic volumes, especially when there are no cars passing through the tunnel for a period of time, which will lead to energy waste of no-car lighting.

[0005] Vehicle-based lighting control under low traffic volume is an energy-saving control mode that is being gradually promoted. Under extremely low traffic volume conditions, the vehicle detector senses the information of vehicle traffic, and the lights are turned on when the vehicle is approaching and dimmed or turned off when the vehicle is leaving, so as to achieve the effect of lighting energy saving. However, for highways with heavy traffic volume, since it is unable to sense changes in traffic volume and lacks the judgment function of applicability, it is also impossible to open different brightness levels according to different traffic volumes. Therefore, this technology has certain limitations in applicability.

[0006] With the continuous development of digital technology and the continuous improvement of low-carbon energy-saving requirements, how to apply the "follow the car" energy-saving control technology to highway tunnels with uneven traffic flow, realize the automatic identification and control of the "follow the car" energy-saving control mode suitable for highway tunnels with uneven traffic flow, and automatically feedback the energy-saving effect and reliability level under the current control mode, has become an innovative technology that effectively improves the safe and energy-saving operation level of highway tunnel lighting. This will break through the current limitation of intelligent control limited to the same type of traffic volume, and provide a complete technical guarantee for tunnel lighting control to achieve maximum energy saving while ensuring safety. Summary of the invention

[0007] In view of this, the object of the present invention is to provide a tunnel lighting energy-saving control method for unbalanced traffic flow, comprising the following steps:

[0008] S1. Determine the relationship between traffic volume and brightness level, expressed as the following formula:

[0009] L n =f(L 20 ,Q,v,l)

[0010] Among them, L n L is the brightness level of different lighting sections in the tunnel; 20 is the real-time monitored brightness value outside the tunnel; v is the design speed; l is the tunnel length; Q is the current traffic volume, expressed as the following formula:

[0011] Q = max {Q m ,Q f}

[0012] Among them, Q m The traffic volume monitored in real time in front of the tunnel; Q f The predicted traffic volume is calculated using the tunnel's historical traffic volume data;

[0013] S2. Determine the decision time interval, specifically:

[0014] S21. Determine the real-time following distance d m and decision-making following distance d d , expressed as the following formula:

[0015] d m =ave{vΔt1vΔt2,......,vΔt n}

[0016] Among them, Δt1,......,Δt n It is the time interval between two adjacent vehicles passing the same monitoring point within the specified time period Δt;

[0017]

[0018] Among them, d s The predicted following distance between two adjacent vehicles within the specified time period Δt is predicted based on the current traffic volume;

[0019] d d =min{d m ,d s}

[0020] Among them, d d is the decision-making following distance within the specified time period Δt;

[0021] S22. Determine the decision time interval Δt', which is expressed as the following formula:

[0022] Δt′=Δt

[0023]

[0024] Among them, D s It is the stopping sight distance at the design speed;

[0025] S3. Determine the brightness level of different lighting sections in the tunnel and the distance d required to meet visual adaptability n :

[0026] S31. Determine the brightness level L of each lighting segment according to S1 n ;

[0027] S32. Determine the current light dimming brightness ratio ΔL of any monitoring point n , expressed as the following formula:

[0028]

[0029] Among them, L p is the current brightness of any monitoring point, L n It is the brightness level of the adjacent control section in front of the monitoring point;

[0030] S33. Determine the time interval Δt that satisfies visual adaptability t , expressed as the following formula:

[0031] Δt t =u|lgΔL n |

[0032] Among them, ΔL n is the light modulation brightness ratio; u is the difference in the ability of human eyes to adapt to light, u = 0.9;

[0033] S34. Determine the distance d required to meet visual adaptabilityn , expressed as the following formula:

[0034] d n =v×Δt t

[0035] S4. Determine the energy-saving control mode of the required tunnel lighting:

[0036] In the decision time interval Δt', when d d ≥d n When the car is in motion, the "follow the car" lighting energy-saving mode is turned on; when d d <d n When the light is on, the "on-demand lighting" control mode is turned on.

[0037] Furthermore, the L n In order to enhance the brightness level of the lighting section, the relationship between traffic volume and brightness level is expressed as the following formula:

[0038] L n =f(L 20 ,Q,v,l)

[0039] The L n is the brightness level of the basic lighting section, then the relationship between traffic volume and brightness level is expressed as the following formula:

[0040] L n =f(Q,v,l).

[0041] Furthermore, the design vehicle speed v is obtained through the design file or through real-time monitoring of the vehicle inspection device; the real-time monitored brightness value L outside the tunnel 20 Obtained by monitoring of the brightness meter outside the tunnel; the traffic volume Q monitored in real time in front of the tunnel m Obtained from the vehicle inspection device in front of the tunnel.

[0042] Furthermore, the predicted traffic volume Q f This is the highest traffic volume in the same period in the past three years.

[0043] Furthermore, when the monitoring point is located in a tunnel, the current brightness L p , expressed as the following formula:

[0044] L p =f(L 20 ,Q,v,l)

[0045] When the monitoring point is outside the tunnel entrance, the current brightness L p Equal to the monitored brightness outside the cave.

[0046] Furthermore, the tunnel lighting mode in the "follow the car" mode is that the lights are on when the car is coming and off when the car is leaving, and the distance between the front end of the lighting control section in this mode and the monitoring point is greater than or equal to the decision following distance d d ; The length of the control section in the "on-demand lighting" mode is consistent with the division of each lighting section specified in the industry standard "Highway Tunnel Lighting Design Rules".

[0047] A tunnel lighting energy-saving control system for unbalanced traffic flow, comprising:

[0048] Data acquisition module, which monitors the brightness outside the tunnel, traffic volume and traffic flow, and obtains relevant parameters such as the design speed and tunnel linear length;

[0049] The data processing module calls the data from the data acquisition module to divide the control sections; calculates the following distance, decision time interval, adaptive distance and control brightness of each section; receives and analyzes the instructions from the monitoring center;

[0050] The control decision module calls the data of the data processing module to determine the current tunnel lighting control mode, and calls the corresponding control mode submodule to control the lights; the control mode submodule includes: the energy-saving control submodule with the car, the on-demand lighting control submodule and the plan control submodule;

[0051] The energy-saving control module dynamically adjusts the length and brightness of each control section under unbalanced traffic flow, and uploads the control data to the control center and control decision module.

[0052] The beneficial effects of the present invention are:

[0053] This method determines the best intelligent control mode for the unbalanced traffic flow in the tunnel, ensuring that energy conservation can be maximized under the safe operation mode under different traffic volumes; this system can automatically analyze the current traffic volume and determine the best control mode through real-time monitoring and predicted operation parameters, and can perform intelligent analysis of the safety and energy conservation of the best control mode; this system can automatically adjust the lamp brightness level, adjustment frequency, and brightness change gradient corresponding to the adjustment frequency according to the current operation parameters and the vehicle intervals corresponding to different traffic volumes, so as to achieve the best operation safety and energy saving effect.

[0054] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below in conjunction with the accompanying drawings, wherein:

[0056] Figure 1 A flow chart of a tunnel lighting energy-saving control method for unbalanced traffic flow provided in this embodiment;

[0057] Figure 2 A workflow diagram of a tunnel lighting energy-saving control system for unbalanced traffic flow provided in this embodiment;

[0058] Figure 3 A working principle diagram of a tunnel lighting energy-saving control system for unbalanced traffic flow provided in this embodiment. DETAILED DESCRIPTION

[0059] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0060] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0061] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "front", "rear", etc. indicate the orientation or position relationship, they are based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0062] The present invention aims to propose an innovative energy-saving control scheme for highway tunnel lighting systems with different traffic volume distributions under the premise of meeting the industry standard "Highway Tunnel Lighting Design Regulations". The core technology of the scheme lies in combining the distribution characteristics of real-time traffic flow for accurate prediction and judgment, so as to dynamically adjust the lighting brightness and the time interval of control decisions to achieve effective energy conservation; and the traffic volume and traffic flow parameters used to control the scheme not only rely on real-time monitoring data, but also combine the prediction algorithm of historical data for double verification, which not only improves the accuracy and reliability of parameter determination, but also helps to control the lighting system more accurately. The traffic flow mentioned in the present invention refers to the information of whether there is an oncoming vehicle and the real-time speed of the vehicle when there is an oncoming vehicle. The traffic flow can be obtained through real-time monitoring of the vehicle inspection device. The traffic volume mentioned in the present invention refers to the number of motor vehicles passing through a certain monitoring point in unit time. The traffic volume is obtained through real-time monitoring of the vehicle inspection device.

[0063] See also Figure 1 , is a flow chart of a tunnel lighting energy-saving control method for unbalanced traffic flow provided in this embodiment, and the specific steps are as follows:

[0064] Step 1: Determine the relationship between traffic volume and brightness level, expressed as the following formula:

[0065] L n =f(L 20 ,Q,v,l)

[0066] Among them, L n Indicates the brightness level of different lighting sections of the tunnel; L 20 It represents the real-time monitored brightness value outside the tunnel, which is obtained by monitoring with a brightness meter outside the tunnel; v represents the design vehicle speed, which is obtained through the design document or through real-time monitoring by the vehicle inspection device; l represents the tunnel length; Q represents the current traffic volume, which is expressed as the following formula:

[0067] Q = max {Q m ,Q f}

[0068] Among them, Q m It indicates the real-time traffic volume monitored in front of the tunnel, which is obtained by the vehicle detector c1 in front of the tunnel; Q f It indicates the predicted traffic volume calculated by using the prediction algorithm and the historical traffic volume data of the tunnel;

[0069] If L n Indicates the brightness level of the enhanced lighting section, which is the same as L 20 ,Q,v,l, the relationship between traffic volume and brightness level is expressed as the following formula:

[0070] L n =f(L20 ,Q,v,l)

[0071] If L n The brightness level of the basic lighting section is related to Q, v, l. The relationship between traffic volume and brightness level is expressed as the following formula:

[0072] L n =f(Q,v,l)

[0073] Step 2: Determine the decision time interval based on real-time monitoring of traffic flow and traffic volume, specifically:

[0074] 1) Determine the following distance d based on real-time monitoring of traffic volume and traffic flow d Required real-time following distance d m , expressed as the following formula:

[0075] d m =ave{vΔt1vΔt2,......,vΔt n}

[0076] Among them, Δt1,......,Δt n They respectively represent the time interval between two adjacent vehicles passing the same monitoring point within the specified time period Δt;

[0077]

[0078] Among them, d s It represents the predicted following distance between two adjacent vehicles according to the current traffic volume within the specified time period Δt. In order to ensure the safety of lighting control of uneven traffic volume, the current traffic volume Q is calculated by the real-time traffic volume Q m and predicted traffic volume Q f The joint decision is made, where the predicted traffic volume Q f This is the highest traffic volume in the same period in the past three years;

[0079] d d =min{d m ,d s}

[0080] Among them, d d represents the decision-making following distance within the specified time period Δt, and takes the real-time following distance d m and predicted following distance d s The minimum value in .

[0081] 2) Determine the decision time interval Δt':

[0082] Δt is related to the traffic flow distribution law. Therefore, the specified time period Δt is the decision time interval Δt' for the control mode determination of the unbalanced traffic flow, which can be expressed as the following formula:

[0083] Δt′=Δt

[0084]

[0085] Among them, D s Indicates the stopping sight distance at the design speed.

[0086] Table 1 shows the minimum decision time interval under different vehicle speeds and at the same time meeting the stopping sight distance and any traffic volume.

[0087] Table 1

[0088] Speed ​​km / h 40 60 80 100 120 Minimum decision time interval s 4.5 4.5 5 6 6.5

[0089] Step 3: Determine the brightness level of different lighting sections in the tunnel and the distance d required to meet visual adaptability n :

[0090] 1) Determine the brightness level L of each lighting segment according to step 1 n ;

[0091] 2) Determine the current light dimming brightness ratio ΔL of any monitoring point n , expressed as the following formula:

[0092]

[0093] Among them, L p is the current brightness of any monitoring point, L n is the brightness level of the adjacent control section in front of the monitoring point. When the monitoring point is in the tunnel, the current brightness of the monitoring point is L p , expressed as the following formula:

[0094] L p =f(L 20 ,Q,v,l)

[0095] When the monitoring point is outside the tunnel entrance, the current brightness L of the monitoring point p , determined by the monitored brightness outside the cave.

[0096] 3) Determine the time interval Δt that satisfies visual adaptability t , expressed as the following formula:

[0097] Δt t =u|lgΔL n |

[0098] Where, ΔL n It represents the light modulation brightness ratio, u represents the difference in the ability of human eyes to adapt to light, and its value is a coefficient close to 1. Preferably, u=0.9.

[0099] 4) Determine the distance d required to meet visual adaptability n , expressed as the following formula:

[0100] d n =v×Δt t

[0101] Step 4: Determine the energy-saving control mode of the required tunnel lighting:

[0102] In the decision time interval Δt', when d d ≥d n When the "follow the car" lighting energy-saving mode is turned on, the tunnel lighting mode in this mode is that the lights are on when the car is approaching and dimmed when the car is leaving. In this mode, the distance from the front end of the lighting control section to the monitoring point should be greater than or equal to d d When d d <d n When the "on-demand lighting" control mode specified in the industry standard "Highway Tunnel Lighting Design Detailed Rules" is turned on, the length of the control section under this mode is consistent with the division of each lighting section specified in the industry standard "Highway Tunnel Lighting Design Detailed Rules". Table 2 shows the relationship between the brightness contrast and the maximum traffic volume limit for the implementation of "follow the vehicle", (veh / h) means (veh / hour); within the decision time, the tunnel brightness difference ratio that meets the "follow the vehicle" and the maximum traffic volume limit under unbalanced traffic volume, and the maximum traffic volume limits of other brightness differences can be calculated by the above formula.

[0103] Table 2

[0104]

[0105] Under the brightness level changes shown in Table 2, the dynamic "follow the car" energy-saving control mode can be implemented for traffic volumes lower than those shown in the table, so as to maximize lighting energy saving under the premise of safety. Since the intelligent control of following the car mainly involves the changes in brightness and darkness of the entrance and exit sections and the role of visual satisfaction, the brightness changes in other lighting sections are small when implementing the intelligent control of following the car. Within the decision time, the following distance obtained by the above analysis is greater than the adaptive distance, and the following car technology can be implemented. For the same tunnel, according to Table 2, the maximum traffic volume limit for implementing "follow the car" is different due to the brightness contrast of different lighting sections. The maximum traffic volume limit can be selected based on the principle of "lower rather than higher".

[0106] The tunnel lighting energy-saving control method of the above embodiment is based on the decision-making following vehicle distance d within the decision time interval Δt'. dThe system can determine the appropriate control mode, so it is highly flexible and adaptable, and can be adjusted intelligently according to the specific needs of different working conditions. Under normal operating conditions, the most suitable lighting control mode can be selected according to the imbalance of traffic flow; under congestion conditions, the lighting effect can be optimized according to the following distance between vehicles; and under fire and maintenance conditions, it can be switched to a more emergency or special working condition control mode with one click through the plan control.

[0107] See also Figure 2 , is a workflow diagram of a tunnel lighting energy-saving control system for unbalanced traffic flow provided by this embodiment. The system can realize remote control of the monitoring center and local real-time monitoring through network access, and realize safe operation under the premise of maximizing energy saving.

[0108] The system includes a data acquisition module, a data processing module, a control decision module and an energy-saving control module; the data acquisition module is used to monitor the brightness outside the tunnel, traffic volume and traffic flow, and obtain relevant parameters such as the design vehicle speed and tunnel linear length; the data processing module is connected to the data acquisition module for monitoring, calls its data to divide the control section, calculates the following distance, decision time interval, adaptive distance and control brightness of each section, and analyzes the instructions issued by the monitoring center, and processes the data together with the collected data; the control decision module is connected to the data processing module, calls the data of the data processing module to decide on a control mode that meets the current tunnel safety and optimal energy-saving needs, including the vehicle-accompanying energy-saving control submodule, the on-demand lighting control submodule and the plan control submodule. These three sub-modules are respectively connected to the control mode decision module, and receive its decision instructions to control and adjust the tunnel lights; the plan control module converts the control mode into a lighting control mode corresponding to the fire or maintenance condition according to the received decision instructions; the energy-saving control module is the most energy-saving part of the control decision module, which mainly reflects the dynamic adjustment of the length and brightness of each control section under unbalanced traffic flow, and then uploads the control data to the control center for synchronous data processing, and at the same time feeds the control data back to the control decision module.

[0109] See also Figure 3 , is a working principle diagram of a tunnel lighting energy-saving control system for unbalanced traffic flow provided by this embodiment. The vehicle detectors C1 to C2 in front of the tunnel i Accurately monitor traffic flow Q m The brightness meter m1 outside the cave captures and records the brightness value L outside the cave in real time. 20 These data are quickly transmitted to the intelligent control system S by wired or wireless signal transmission. The intelligent control system S determines the lighting conditions of each lighting section L1~L2 based on the tunnel basic data collected in the early stage and the design speed. nThe required lighting brightness; the length of the control section for enhanced lighting is consistent with the length of each lighting section in the industry standard "Highway Tunnel Lighting Design Detailed Rules", and the length of the control section for basic lighting can be dynamically adjusted according to the calculation formula of the decision-making following distance within the specified time period or the distance required to meet visual adaptability to achieve the most precise energy-saving control effect. d ≥d n The lighting control sections can light up in sequence according to the real-time vehicle speed. n The front is at least greater than d n Length of tunnel luminaire.

[0110] When the vehicle reaches any control section l i Vehicle inspection device C i When the vehicle is in the position, the intelligent control system S automatically collects the corresponding vehicle speed and counts the traffic volume, determines the following distance based on the real-time monitoring of traffic volume and traffic flow, and determines the dynamic decision control time. It also determines the current control mode by comparing the decision following distance within the specified time period Δt with the distance required to meet visual adaptability, thereby dynamically adjusting the next lighting section l i+1 length, and determine the corresponding control brightness based on the relationship between traffic volume and brightness level. Since the brightness control section of basic lighting will be dynamically adjusted according to the following distance under the current traffic flow characteristics, the division of basic lighting control sections should be dynamically adjusted using IP networking to meet the most energy-efficient dynamic section adjustment requirements under unbalanced traffic flow, thereby achieving dynamic adjustment of control sections under different modes. In the "follow the car" control mode, when the vehicle reaches any control section l i When the vehicle detector C in this section i and the adjacent rear vehicle detector C i-1 No approaching vehicles were detected, and the rear lighting section l i-1 The lamps are switched to standby mode.

[0111] The tunnel lighting energy-saving control method for unbalanced traffic flow provided by the present invention analyzes the distribution characteristics of different traffic flows and the relationship between the following distances of adjacent vehicles, flexibly adjusts the lighting control mode and its action section, and realizes dynamic optimization of lighting control, aiming to achieve the best energy-saving effect according to different traffic flow conditions. It can accurately judge the decision time interval and the optimal position of the control section for dynamic adjustment of lighting control under unbalanced traffic flow, automatically identify the energy-saving control mode and adjust the length of the control section, fully adapt to the current traffic flow requirements, and improve the rapid effectiveness and intelligence level of safety and energy-saving management and control. It is compatible with on-demand lighting intelligent control and timing control under the traditional loop control mode, and has a variety of contingency control modes such as fire condition control and maintenance condition control, which enhances the practicality and flexibility of the technology, improves the ability to respond to emergencies, and ensures the safety and efficiency of tunnel operation.

[0112] Compared with the existing tunnel lighting control mode, the innovation of the present invention lies in that it can automatically calculate the decision response time of the control mode and dynamically adjust the lighting section and its brightness based on the real-time traffic volume and traffic flow distribution characteristics through intelligent analysis of the following vehicle distance. This dynamic adjustment mechanism ensures that the lighting system can flexibly adapt to various lighting needs under unbalanced traffic flow, thereby maximizing energy saving. In addition, the present invention effectively overcomes the drawbacks of the existing mode that the lighting section, control brightness or lighting control mode is fixed, significantly improves the adaptability and energy-saving efficiency of the tunnel lighting system, and provides a strong guarantee for the safe and efficient operation of highway tunnels.

[0113] This system is characterized by its excellent professionalism and wide adaptability, supports flexible and diverse wired and wireless deployment methods, and accurately meets the strategic needs of smart safety and dual carbon emission reduction. The system can operate independently locally, and can also work closely with the tunnel smart control platform to achieve integrated intelligent management and control, thereby significantly improving safety and energy-saving efficiency, and improving the rapid, effective and intelligent control level of safety and energy-saving control.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution, which should be included in the scope of the claims of the present invention.

Claims

1. A tunnel lighting energy-saving control method for unbalanced traffic flow, characterized in that: The following steps are involved: S1. Determine the relationship between traffic volume and brightness level, expressed as the following formula: L n =f(L 20 ,Q,v,l) Among them, L n L is the brightness level of different lighting sections in the tunnel; 20 is the real-time monitored brightness value outside the tunnel; v is the design speed; l is the tunnel length; Q is the current traffic volume, expressed as the following formula: Q=max{Q m ,Q f } Among them, Q m The traffic volume monitored in real time in front of the tunnel; Q f The predicted traffic volume is calculated using the tunnel's historical traffic volume data; S2. Determine the decision time interval, specifically: S21. Determine the real-time following distance d m and the decision-making following distance d d , expressed as the following formula: d m =ave{vΔt1vΔt2,......,vΔt n } Among them, Δt1,......,Δt n It is the time interval between two adjacent vehicles passing the same monitoring point within the specified time period Δt; Among them, d s The predicted following distance between two adjacent vehicles within the specified time period Δt is predicted based on the current traffic volume; the d =min{d m ,d s } Among them, d d is the decision-making following distance within the specified time period Δt; S22. Determine the decision time interval Δt', which is expressed as the following formula: Δt′=Δt Among them, D s It is the stopping sight distance at the design speed; S3. Determine the brightness level of different lighting sections in the tunnel and the distance d required to meet visual adaptability n : S31. Determine the brightness level L of each lighting segment according to S1 n ; S32. Determine the current light dimming brightness ratio ΔL of any monitoring point n , expressed as the following formula: Among them, L p is the current brightness of any monitoring point, L n It is the brightness level of the adjacent control section in front of the monitoring point; S33. Determine the time interval Δt that satisfies visual adaptability t , expressed as the following formula: Δt t =u|lgΔL n | Where, ΔL n is the light modulation brightness ratio; u is the difference in the ability of human eyes to adapt to light, u = 0.9; S34. Determine the distance d required to meet visual adaptability n , expressed as the following formula: d n =v×Δt t S4. Determine the energy-saving control mode of the required tunnel lighting: In the decision time interval Δt', when d d ≥d n When the car is in motion, the "follow the car" lighting energy-saving mode is turned on; when d d <d n When the light is on, the "on-demand lighting" control mode is turned on.

2. The tunnel lighting energy-saving control method for unbalanced traffic flow according to claim 1, characterized in that: The L n In order to enhance the brightness level of the lighting section, the relationship between traffic volume and brightness level is expressed as the following formula: L n =f(L 20 ,Q,v,l) The L n is the brightness level of the basic lighting section, then the relationship between traffic volume and brightness level is expressed as the following formula: L n =f(Q,v,l)。 3. The tunnel lighting energy-saving control method for unbalanced traffic flow according to claim 1, characterized in that: The design vehicle speed v is obtained through the design file or through real-time monitoring of the vehicle inspection device; the real-time monitored brightness value L outside the tunnel 20 Obtained by monitoring of the brightness meter outside the tunnel; the traffic volume Q monitored in real time in front of the tunnel m Obtained from the vehicle inspection device in front of the tunnel.

4. The tunnel lighting energy-saving control method for unbalanced traffic flow according to claim 1, characterized in that: The predicted traffic volume Q f This is the highest traffic volume in the same period in the past three years.

5. The tunnel lighting energy-saving control method for unbalanced traffic flow according to claim 1, characterized in that: When the monitoring point is in the tunnel, the current brightness L p , expressed as the following formula: L p =f(L 20 ,Q,v,l) When the monitoring point is outside the tunnel entrance, the current brightness L p Equal to the monitored brightness outside the cave.

6. The tunnel lighting energy-saving control method for unbalanced traffic flow according to claim 1, characterized in that: The tunnel lighting mode in the "follow the car" mode is that the lights are on when the car is coming and off when the car is leaving, and the distance between the front end of the lighting control section in this mode and the monitoring point is greater than or equal to the decision-making following distance d d ; The length of the control section in the "on-demand lighting" mode is consistent with the division of each lighting section specified in the industry standard "Highway Tunnel Lighting Design Rules".

7. A tunnel lighting energy-saving control system for unbalanced traffic flow, characterized in that: include: Data acquisition module, which monitors the brightness outside the tunnel, traffic volume and traffic flow, and obtains relevant parameters such as the design speed and tunnel linear length; The data processing module calls the data from the data acquisition module to divide the control sections; calculates the following distance, decision time interval, adaptive distance and control brightness of each section; receives and analyzes the instructions from the monitoring center; The control decision module calls the data of the data processing module to determine the current tunnel lighting control mode, and calls the corresponding control mode submodule to control the lights; the control mode submodule includes: the energy-saving control submodule with the car, the on-demand lighting control submodule and the plan control submodule; The energy-saving control module dynamically adjusts the length and brightness of each control section under unbalanced traffic flow, and uploads the control data to the control center and control decision module.

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