Adaptive adjustment and control method and apparatus for tunnel illumination, and device and medium

Abstract

An adaptive adjustment and control method and apparatus for tunnel illumination, and a device and a medium. The method comprises: dividing an entire road section according to tunnel distribution, so as to obtain a plurality of detection regions, wherein the detection regions at least comprise a buffer barrier area and a driving barrier area; acquiring vehicle monitoring data of vehicles which travel into the detection regions, and marking the vehicle monitoring data on the basis of different detection regions, so as to obtain different stake marks of the vehicle monitoring data; and on the basis of the vehicle monitoring data, generating a tunnel illumination lamp adjustment instruction, and sending the tunnel illumination lamp adjustment instruction to a tunnel management and control platform, such that the tunnel management and control platform controls tunnel illumination lamps, so as to reduce energy consumption of ineffective illumination.

Description

A tunnel lighting adaptive control method, device, equipment and medium Technical Field

[0001] The present invention relates to the technical field of tunnel lighting energy saving, and in particular to a tunnel lighting adaptive control method, device, equipment and medium. Background Art

[0002] During normal operation, the highway tunnel lighting system will effectively coordinate with the lamps inside the tunnel to adjust the brightness to the appropriate level according to the corresponding lighting regulations, so that drivers will not feel uncomfortable due to the large brightness difference between inside and outside the tunnel when entering the tunnel, thereby reducing driving safety risks.

[0003] Currently, there are three types of tunnel lighting control: manual control, sequential control, remote real-time automatic control, and stepless dimming control. Manual control requires personnel to remotely or on-site control the tunnel lighting circuit switch to adjust the tunnel brightness, which makes it difficult to ensure timeliness and is therefore rarely used in practice. Sequential control, remote real-time automatic control, and stepless dimming control rely on data collected by light intensity detectors and visibility detectors inside and outside the tunnel to automatically adjust the lighting of lamps according to preset control schemes. However, no matter which control method is used, the lighting will still maintain a high brightness when there are no cars or people in the tunnel, resulting in "ineffective" lighting and energy waste.

[0004] With the continuous advancement of technology, there have been some studies on intelligent control systems for highway tunnel lighting. Most of these studies use radar devices to sense the driving status and position of the car, determine whether the car is driving in the tunnel, and control the switching of the lamps in the tunnel based on the judgment results, thereby reducing the ineffective lighting time in the tunnel. However, this control method can easily cause the frequent switching of the lamps in the tunnel, which has a certain damage to the life of the lamps. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above technical deficiencies and provide a method, device, equipment and medium for adaptive control of tunnel lighting to solve the technical problem of energy waste caused by ineffective lighting in the prior art.

[0006] In order to achieve the above technical objectives, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a method for adaptively controlling tunnel lighting, comprising the following steps:

[0008] Divide the entire road section according to the distribution of tunnels to obtain multiple detection areas, wherein the detection areas at least include a buffer fence area and a driving fence area;

[0009] Acquire vehicle monitoring data of vehicles entering the detection area, and mark the vehicle monitoring data according to different detection areas to obtain different vehicle monitoring data pile numbers;

[0010] Based on the vehicle monitoring data, a tunnel lighting adjustment instruction is generated, and the tunnel lighting adjustment instruction is sent to a tunnel management and control platform, so that the tunnel management and control platform controls the tunnel lighting.

[0011] In some embodiments, the buffer fence area is a buffer area for resetting the lighting device, and the driving fence area is a trigger area for turning on the lighting device.

[0012] In some embodiments, generating a tunnel lighting adjustment instruction based on the vehicle monitoring data and sending the tunnel lighting adjustment instruction to a tunnel management and control platform includes:

[0013] Based on the vehicle monitoring data, the control strategy is verified, wherein the control strategy is used to determine the start of the current intelligent strategy and the time period for automatic execution;

[0014] When the control strategy verification is completed, the vehicle monitoring data pile number is matched with the tunnel area, the tunnel lighting adjustment instruction is generated through an intelligent algorithm, and the corresponding control instruction is sent to the tunnel management and control platform, wherein the tunnel lighting adjustment instruction includes at least a tunnel lighting brightening instruction and a tunnel lighting dimming instruction.

[0015] In some embodiments, the control strategy verification based on the vehicle monitoring data includes:

[0016] Acquire the vehicle monitoring data pile number in real time, and recalculate the tunnel lighting reset time based on the real-time vehicle monitoring data pile number;

[0017] When the tunnel lighting reset time expires, the number of vehicles passing through the tunnel entrance and exit is determined, and data supplementary verification of vehicles parked in the tunnel is performed based on the number of vehicles passing through.

[0018] The number of vehicles traveling in the buffer fence area is determined, and the tunnel lighting reset duration is updated based on the number of vehicles traveling in the buffer fence area and the number of vehicles passing through the tunnel entrance and exit.

[0019] In some embodiments, brightening the tunnel lighting includes:

[0020] Preset tunnel lighting reset time;

[0021] When a vehicle enters the buffer fence area, obtaining a current tunnel lighting reset duration, determining a vehicle stay time in the buffer fence area based on the current tunnel lighting reset duration, and including the vehicle stay time in the current tunnel lighting reset duration;

[0022] When the vehicle enters the driving fence area, the enhanced lighting is turned on and the basic lighting is brightened, and the current tunnel lighting reset duration is updated.

[0023] In some embodiments, the preset tunnel lighting reset duration includes:

[0024] The tunnel length and the average vehicle speed are obtained, and the initial tunnel lighting reset duration is determined based on the tunnel length and the average vehicle speed.

[0025] In some embodiments, dimming the tunnel lighting comprises:

[0026] When there are no vehicles traveling in the buffer fence area and the tunnel, the tunnel lighting is reset.

[0027] In a second aspect, the present invention further provides a tunnel lighting adaptive control device, comprising:

[0028] A tunnel division module is used to divide the entire road section according to the distribution of tunnels to obtain multiple detection areas, wherein the detection areas at least include a buffer fence area and a driving fence area;

[0029] A vehicle monitoring data acquisition module is used to acquire vehicle monitoring data of vehicles entering the detection area, and mark the vehicle monitoring data according to different detection areas to obtain different vehicle monitoring data pile numbers;

[0030] The lighting control module is used to generate a tunnel lighting adjustment instruction based on the vehicle monitoring data, and send the tunnel lighting adjustment instruction to the tunnel management and control platform so that the tunnel management and control platform controls the tunnel lighting.

[0031] In a third aspect, the present invention further provides an electronic device, comprising: a processor and a memory;

[0032] The memory stores a computer-readable program executable by the processor;

[0033] When the processor executes the computer-readable program, the steps in the tunnel lighting adaptive control method described above are implemented.

[0034] In a fourth aspect, the present invention further provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the tunnel lighting adaptive control method as described above.

[0035] Compared with the existing technology, the tunnel lighting adaptive control method, device, equipment and medium provided by the present invention first divide the entire road section according to the tunnel distribution to obtain multiple detection areas, wherein the detection area at least includes a buffer fence area and a driving fence area; secondly, vehicle monitoring data of vehicles entering the detection area is obtained, and the vehicle monitoring data is marked according to different detection areas to obtain different vehicle monitoring data pile numbers; finally, based on the vehicle monitoring data, a tunnel lighting adjustment instruction is generated, and the tunnel lighting adjustment instruction is sent to the tunnel control platform so that the tunnel control platform controls the tunnel lighting; by setting up a buffer fence area, it is ensured that when there are vehicles driving in the area, even if there are no vehicles in the tunnel, the lighting is not reset, thereby avoiding frequent operation of the lighting equipment and extending the service life of the lamps. At the same time, for the situation where there are often no vehicles in the tunnel for a long time, the intelligent lighting control system can promptly control the tunnel lighting to turn off and reduce ineffective lighting energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] FIG1 is a flow chart of an embodiment of a method for adaptively controlling tunnel lighting provided by the present invention;

[0037] FIG2 is a schematic diagram of an embodiment of a tunnel lighting adaptive control device provided by the present invention;

[0038] FIG3 is a schematic diagram of the operating environment of an embodiment of the tunnel lighting adaptive control program provided by the present invention;

[0039] FIG4 is a schematic diagram of a single detection area of ​​the tunnel lighting adaptive control method provided by the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0041] The present invention provides a method, device, equipment, and medium for adaptively controlling tunnel lighting, which can be used in a computer. The method, equipment, or computer-readable storage medium involved in the present invention can be integrated with the above-mentioned equipment or can be relatively independent.

[0042] The present invention provides a method for adaptively controlling tunnel lighting, which can be executed by a computer, specifically by one or more processors of the computer. FIG1 is a flow chart of the method for adaptively controlling tunnel lighting provided by an embodiment of the present invention. Referring to FIG1 , the method for adaptively controlling tunnel lighting includes the following steps:

[0043] S100, dividing the entire road section according to the distribution of tunnels to obtain multiple detection areas, where the detection areas at least include a buffer fence area and a driving fence area;

[0044] S200, obtaining vehicle monitoring data of vehicles entering the detection area, and marking the vehicle monitoring data according to different detection areas to obtain different vehicle monitoring data pile numbers;

[0045] S300: Generate a tunnel lighting adjustment instruction based on the vehicle monitoring data, and send the tunnel lighting adjustment instruction to the tunnel management and control platform so that the tunnel management and control platform controls the tunnel lighting.

[0046] In this embodiment, first, the entire road section is divided according to the tunnel distribution to obtain multiple detection areas, wherein the detection area includes at least a buffer fence area and a driving fence area; secondly, the vehicle monitoring data of the vehicles entering the detection area is obtained, and the vehicle monitoring data is marked according to different detection areas to obtain different vehicle monitoring data pile numbers; finally, based on the vehicle monitoring data, the tunnel lighting adjustment instruction is generated, and the tunnel lighting adjustment instruction is sent to the tunnel control platform so that the tunnel control platform can control the tunnel lighting, thereby reducing ineffective lighting energy consumption.

[0047] In some embodiments, in step S100, the entire road section is divided into multiple detection areas according to the distribution of tunnels. For example, referring to FIG4 , a single tunnel is used as an example: a buffer fence area and a driving fence area are divided by setting detection points before and after the tunnel. Vehicle detection data pushed by the video AI system and the lidar is used to determine whether a vehicle has entered the driving fence area.

[0048] The buffer fence area serves as a buffer zone for lighting equipment reset. When a vehicle is traveling in this area, it indicates that a vehicle is about to enter the tunnel. At this time, there are no vehicles in the tunnel and the lighting will not be reset. The size of the area determines the minimum interval between two consecutive lighting equipment operations. When the average vehicle speed in this area is 60km / h and the buffer area is 1km, the minimum interval between two consecutive lighting equipment operations is 1 minute.

[0049] The driving fence area is the trigger area for turning on the lighting equipment. Considering that the system link consumption from vehicle detection to lighting equipment control is at least 3 seconds, the area that triggers the lighting to turn on should be located in front of the tunnel entrance and the distance from the tunnel entrance should not be less than 100 meters.

[0050] In some embodiments, in step S200, the detection equipment is started, and vehicles entering the detection area are monitored through the video AI system and the lidar to obtain vehicle monitoring data of the vehicles entering the detection area. The vehicle monitoring data is marked according to different detection areas to obtain different vehicle monitoring data pile numbers; when the camera in the tunnel or the lidar in front of the tunnel detects that a vehicle has passed, the detection data is pushed in time. If the vehicle is continuously detected, such as when it is parked, the monitoring data needs to be pushed continuously, and the interval time cannot be less than 5 seconds.

[0051] In some embodiments, in step S300, based on the vehicle monitoring data, a tunnel lighting adjustment instruction is generated, the tunnel lighting is dynamically adjusted, and the control instruction is sent to the tunnel management and control platform;

[0052] First, based on vehicle monitoring data, the control strategy is verified to determine whether the current intelligent strategy is activated and the time period for automatic execution. The control strategy is as follows: during vehicle driving, the vehicle monitoring data pile number is obtained in real time, and the tunnel lighting reset time is recalculated based on the real-time vehicle monitoring data pile number. When the tunnel lighting reset time is longer than the previous tunnel lighting reset time, the tunnel lighting reset time is updated, that is, a new vehicle enters from the rear. When the tunnel lighting reset time is less than the previous tunnel lighting reset time, the tunnel lighting reset time remains unchanged. In this way, the lighting reset time is dynamically changed to ensure that the lighting is always on when there are vehicles driving in the tunnel. When there are no vehicles driving in the tunnel, there is no driving data push in the tunnel, and the lighting is reset in time.

[0053] When the tunnel lighting reset time has expired, the data is supplemented and verified to see whether there are any stagnant vehicles in the tunnel based on the number of vehicles passing through monitored by the entrance and exit laser radar to prevent the existence of detection blind spots. The lighting system is then judged in time based on whether there are any moving vehicles in the buffer fence area. When there are vehicles in the tunnel and in the buffer fence area, the tunnel lighting reset time is updated, that is, the lighting system is not reset. When there are no moving vehicles in the buffer fence area and there are no moving vehicles in the tunnel, the lighting is reset in time to reduce frequent operations on the lighting system, which at least include switching the lighting system on and off or adjusting the brightness.

[0054] Secondly, after the control strategy verification is completed, the stake number of the vehicle detection data is matched with the tunnel area configured by the system. The intelligent algorithm generates a tunnel lighting adjustment instruction. Based on the adjustment instruction, it is determined whether the tunnel lighting in the current tunnel needs to be brightened or dimmed to enhance the lighting.

[0055] The tunnel lighting adjustment operation process is as follows: obtain the tunnel length and the average vehicle speed, and based on the tunnel length and the average vehicle speed, determine the initial tunnel lighting reset time, that is, the initial tunnel lighting reset time = tunnel length / average speed; the buffer fence area serves as a buffer area for the lighting system reset. When a vehicle is traveling in this area, it means that a vehicle is about to enter the tunnel. At this time, there is no vehicle in the tunnel and the lighting is not reset. When a vehicle enters the buffer fence area, the current tunnel lighting reset time is obtained. Based on the current tunnel lighting reset time, the vehicle stay time in the buffer fence area is determined. Whether the tunnel lighting reset time is 0 at this time is determined to determine whether there is a vehicle in the tunnel at this time. When there is a vehicle in the tunnel, the tunnel lighting reset time is not 0. At this time, the vehicle stay time in the buffer fence area is included in the current tunnel lighting reset time; when there is no vehicle in the tunnel, the tunnel lighting reset time is 0, and the vehicle stay time in the buffer fence area is also 0; when the vehicle enters the driving fence area, the enhanced lighting is turned on and the basic lighting is brightened, and the current tunnel lighting reset time is updated.

[0056] The tunnel lighting dimming operation process is as follows: when there are no vehicles in the buffer fence area and the tunnel, the tunnel lighting is reset to reduce the frequent operation of the lighting system.

[0057] After receiving the tunnel lighting adjustment instruction, the tunnel control platform will specifically control the tunnel lighting and record the control log.

[0058] Taking into account the problems of bad weather and equipment damage, the received vehicle detection data is analyzed in real time. If it is found that the lighting is not turned on in an area where it should be turned on, the intelligent lighting control subsystem will be automatically shut down, and the emergency lighting strategy of the tunnel management and control platform will be executed first to ensure that the emergency lighting is always on.

[0059] Real-time video detection of tunnel entrances and exits is added to the tunnel management and control platform, and a one-touch on / off emergency lighting control button is provided, allowing manual intervention when automatic control failure of the lighting control subsystem is detected.

[0060] Based on the above-mentioned tunnel lighting adaptive control method, an embodiment of the present invention further provides a tunnel lighting adaptive control device. Referring to FIG2 , the tunnel lighting adaptive control device 400 includes a tunnel division module 410 , a vehicle monitoring data acquisition module 420 , and a lighting control module 430 .

[0061] The tunnel division module 410 is used to divide the entire road section according to the tunnel distribution to obtain multiple detection areas, wherein the detection area includes at least a buffer fence area and a driving fence area;

[0062] The vehicle monitoring data acquisition module 420 is used to acquire vehicle monitoring data of vehicles entering the detection area and mark the vehicle monitoring data according to different detection areas to obtain different vehicle monitoring data pile numbers;

[0063] The lighting control module 430 is used to generate a tunnel lighting adjustment instruction based on the vehicle monitoring data, and send the tunnel lighting adjustment instruction to the tunnel management and control platform so that the tunnel management and control platform can control the tunnel lighting.

[0064] As shown in Figure 3, based on the adaptive tunnel lighting control method, the present invention also provides an electronic device. This electronic device can be a computing device such as a mobile terminal, desktop computer, notebook, PDA, or server. The electronic device includes a processor 10, a memory 20, and a display 30. Figure 3 only shows some of the components of the electronic device. However, it should be understood that implementation of all illustrated components is not required, and more or fewer components may be substituted.

[0065] In some embodiments, the memory 20 may be an internal storage unit of the electronic device, such as a hard disk or memory of the electronic device. In other embodiments, the memory 20 may also be an external storage device of the electronic device, such as a plug-in hard disk equipped on the electronic device, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Furthermore, the memory 20 may include both an internal storage unit of the electronic device and an external storage device. The memory 20 is used to store application software and various types of data installed in the electronic device, such as program codes installed in the electronic device. The memory 20 may also be used to temporarily store data that has been output or is about to be output. In one embodiment, the memory 20 stores a tunnel lighting adaptive control program 40, which can be executed by the processor 10, thereby implementing the tunnel lighting adaptive control method of each embodiment of the present invention.

[0066] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 20, such as a tunnel lighting adaptive control method.

[0067] In some embodiments, the display 30 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 30 is used to display identification information of the adaptive tunnel lighting control program and to display a visual user interface. The components 10-30 of the electronic device communicate with each other via a system bus.

[0068] In some embodiments, when the processor 10 executes the tunnel lighting adaptive control program 40 in the memory 20, the various steps in the tunnel lighting adaptive control method described in the above embodiments are implemented. Since the tunnel lighting adaptive control method has been described in detail above, it will not be repeated here.

[0069] In summary, the tunnel lighting adaptive control method, device, equipment and medium provided by the present invention first divide the entire road section according to the tunnel distribution to obtain multiple detection areas, wherein the detection area at least includes a buffer fence area and a driving fence area; secondly, the vehicle monitoring data of the vehicle entering the detection area is obtained, and the vehicle monitoring data is marked according to different detection areas to obtain different vehicle monitoring data pile numbers; finally, a tunnel lighting adjustment instruction is generated, and the tunnel lighting adjustment instruction is sent to the tunnel control platform so that the tunnel control platform controls the tunnel lighting; avoids frequent operation of lighting equipment, extends the service life of lamps, and reduces ineffective lighting energy consumption.

[0070] Of course, those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program. The program can be stored in a computer-readable storage medium, and when executed, the program can include the processes in the above-described method embodiments. The storage medium can be a memory, a magnetic disk, an optical disk, etc.

[0071] The specific embodiments of the present invention described above do not limit the scope of protection of the present invention. Any other corresponding changes and modifications made based on the technical concept of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. A tunnel lighting adaptive control method, characterized in that: The steps include: Divide the entire road section according to the distribution of tunnels to obtain multiple detection areas, wherein the detection areas at least include a buffer fence area and a driving fence area; Acquire vehicle monitoring data of vehicles entering the detection area, and mark the vehicle monitoring data according to different detection areas to obtain different vehicle monitoring data stake numbers; Based on the vehicle monitoring data, a tunnel lighting adjustment instruction is generated, and the tunnel lighting adjustment instruction is sent to a tunnel management and control platform, so that the tunnel management and control platform controls the tunnel lighting.

2. The tunnel lighting adaptive control method according to claim 1, characterized in that: The buffer fence area is a buffer area for resetting the lighting device, and the driving fence area is a trigger area for turning on the lighting device.

3. The tunnel lighting adaptive control method according to claim 1, characterized in that: The generating a tunnel lighting adjustment instruction based on the vehicle monitoring data, and sending the tunnel lighting adjustment instruction to the tunnel management and control platform includes: Based on the vehicle monitoring data, verify the control strategy, wherein the control strategy is used to determine the start of the current intelligent strategy and the time period for automatic execution; When the control strategy verification is completed, the vehicle monitoring data pile number is matched with the tunnel area, the tunnel lighting adjustment instruction is generated through an intelligent algorithm, and the corresponding control instruction is sent to the tunnel management and control platform, wherein the tunnel lighting adjustment instruction includes at least a tunnel lighting brightening instruction and a tunnel lighting dimming instruction.

4. The tunnel lighting adaptive control method according to claim 3 is characterized in that: The verifying the control strategy based on the vehicle monitoring data includes: Acquire the vehicle monitoring data stake number in real time, and recalculate the tunnel lighting reset time based on the real-time vehicle monitoring data stake number; When the tunnel lighting reset time expires, the number of vehicles passing through the tunnel entrance and exit is determined, and data supplement and verification of vehicles parked in the tunnel is performed based on the number of vehicles passing through; The number of vehicles traveling in the buffer fence area is determined, and based on the number of vehicles traveling in the buffer fence area and the number of vehicles passing through the tunnel entrance and exit, the tunnel lighting reset duration is updated.

5. The tunnel lighting adaptive control method according to claim 3, characterized in that: The tunnel lighting is brightened, comprising: Preset tunnel lighting reset duration; When a vehicle enters the buffer fence area, the current tunnel lighting reset duration is obtained, and based on the current tunnel lighting reset duration, the vehicle stay time in the buffer fence area is determined, and the vehicle stay time is included in the current tunnel lighting reset duration; When the vehicle enters the driving fence area, the enhanced lighting is turned on and the basic lighting is brightened, and the current tunnel lighting reset duration is updated.

6. The tunnel lighting adaptive control method according to claim 5, characterized in that: The preset tunnel lighting reset duration includes: The tunnel length and the average vehicle speed are obtained, and based on the tunnel length and the average vehicle speed, the initial tunnel lighting reset duration is determined.

7. The tunnel lighting adaptive control method according to claim 3, characterized in that: The tunnel lighting dimming comprises: When there are no vehicles traveling in the buffer fence area and the tunnel, the tunnel lighting is reset.

8. A tunnel lighting adaptive control device, characterized in that: include: A tunnel division module, used for dividing the whole road section according to the tunnel distribution to obtain a plurality of detection areas, wherein the detection areas at least include a buffer fence area and a driving fence area; A vehicle monitoring data acquisition module is used to acquire vehicle monitoring data of vehicles entering the detection area, and mark the vehicle monitoring data according to different detection areas to obtain different vehicle monitoring data pile numbers; The lighting control module is used to generate a tunnel lighting adjustment instruction based on the vehicle monitoring data, and send the tunnel lighting adjustment instruction to the tunnel management and control platform so that the tunnel management and control platform controls the tunnel lighting.

9. An electronic device, characterized in that: include: Processor and memory; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps in the tunnel lighting adaptive control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the tunnel lighting adaptive control method according to any one of claims 1 to 7.

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