Tunnel lamp light intelligent control system and method

Abstract

The application discloses a kind of tunnel light intelligence control system and method, including first detection module detects entrance ambient light index and environmental interference parameter;Second detection module detects exit ambient light index;Control module includes: training unit is trained to obtain light prediction model;Difference unit is established according to entrance ambient light index, exit ambient light index, light index first difference equation and second difference equation;Improvement unit is improved according to each environmental interference parameter to ant colony algorithm, and according to the optimal solution of the minimum of improved ant colony algorithm calculation target function, it contains light adjustment parameter;Instruction generation unit generates light adjustment instruction and angle adjustment instruction according to each light adjustment parameter;Illumination angle adjustment module adjusts the illumination angle of each light in tunnel according to angle adjustment instruction;Light adjustment module adjusts the light intensity and light spectrum of each light in tunnel according to light adjustment instruction.The application improves the safety of vehicle driving in tunnel.

Description

Technical Field

[0001] This invention relates to the field of tunnel lighting technology, and in particular to an intelligent control system and method for tunnel lighting. Background Technology

[0002] Tunnels are widely used in the construction of highways, national roads, and municipal roads. Tunnels are equipped with lighting to provide illumination for drivers, in conjunction with vehicle headlights. Currently, in existing tunnel lighting systems, there is a significant difference in light intensity between the interior and exterior environments. During the day, when drivers enter a tunnel, their eyes, accustomed to the brighter external light, cannot immediately adapt to the darker tunnel light, resulting in a brief period of reduced visual acuity. Similarly, at night, drivers entering a tunnel experience the same temporary visual acuity, as their eyes, also accustomed to the darker external light, cannot immediately adapt to the brighter tunnel light. During this period, drivers may experience weakened vision or even temporary blindness. Vehicles typically enter tunnels from highways, elevated roads, or national roads at high speeds. Reduced visual acuity at high speeds is extremely dangerous, thus posing a significant safety hazard to existing tunnel lighting systems. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide an intelligent control system for tunnel lighting, which can adjust the lighting inside the tunnel in real time and improve the safety of vehicles driving in the tunnel.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent control system for tunnel lighting, comprising:

[0005] The first detection module is used to detect the ambient light index and environmental interference parameters at the tunnel entrance.

[0006] The second detection module is used to detect the ambient light index at the tunnel exit.

[0007] The control module, connected to the first detection module and the second detection module respectively, includes:

[0008] The training unit is used to introduce an initial model, take several pre-stored standard lighting adjustment parameters as input, and take the corresponding standard lighting index as output to train a lighting prediction model. The input of the lighting prediction model is several lighting adjustment parameters, and the output is the lighting index.

[0009] The difference unit, connected to the training unit, is used to establish a first difference equation based on the entrance ambient light index and the light index, and to establish a second difference equation based on the exit ambient light index and the light index. Both the first difference equation and the second difference equation contain an objective function.

[0010] An improvement unit, connected to the difference unit, is used to improve the heuristic factor and pheromone residual coefficient of the ant colony algorithm according to each of the environmental interference parameters, and to calculate the optimal solution when the objective function is minimized according to the improved ant colony algorithm. The optimal solution contains the corresponding lighting adjustment parameters.

[0011] The instruction generation unit, connected to the improved unit, is used to generate several light adjustment instructions and angle adjustment instructions based on each of the light adjustment parameters.

[0012] A light angle adjustment module, connected to the control module, is used to adjust the light angle of each light inside the tunnel according to the angle adjustment command.

[0013] The lighting adjustment module, connected to the control module, is used to adjust the light intensity and light spectrum of each light inside the tunnel according to the lighting adjustment command.

[0014] Furthermore, the illumination angle adjustment module includes:

[0015] A fixed post is vertically fixed at one end to the inner wall of the tunnel at the tunnel entrance or exit, and the tunnel lights are installed at the end of the fixed post away from the inner wall of the tunnel.

[0016] A sliding disc is slidably sleeved on the outer wall of the fixed column, and a plurality of first hinge grooves are evenly provided on the outer edge of the sliding disc;

[0017] A drive cylinder has a piston rod that is fixedly connected to the side of the sliding disc facing the inner wall of the tunnel, and the other end that is fixedly connected to the inner wall of the tunnel away from the piston rod. This cylinder is used to drive the sliding disc to slide back and forth on the fixed column.

[0018] Several telescopic rods, one end of which is fixedly connected to the inner wall of the tunnel, and the other end of which is fixedly connected to the side of the sliding disc facing the inner wall of the tunnel. Each of the telescopic rods is evenly distributed between the inner wall of the tunnel and the sliding disc, and is used to drive the sliding disc to slide back and forth on the fixed column along with the drive cylinder.

[0019] A fixing plate is fixedly sleeved on the outer wall of the end of the fixing column away from the inner wall of the tunnel. The outer edge of the fixing plate is evenly provided with a number of second hinge slots. The first hinge slots and the second hinge slots are aligned in the same direction and have the same number.

[0020] A plurality of elastic links, one end of each elastic link being hinged in the first hinge groove, and a flexible reflective film being fixedly connected to the outer side of each elastic link;

[0021] A plurality of swing arms, one end of each swing arm is hinged to a second hinge groove, and the end of each swing arm away from the second hinge groove is hinged to the inner side of the elastic connecting rod;

[0022] When the driving cylinder drives the sliding disc to slide back and forth on the outer wall of the fixed column, each swing rod drives each elastic connecting rod to expand the flexible reflective film outward or contract the flexible reflective film inward, so as to adjust the illumination angle of the tunnel light.

[0023] Furthermore, the lighting adjustment parameters include a first adjustment parameter for adjusting the tunnel entrance lighting and a second adjustment parameter for adjusting the tunnel exit lighting, and the instruction generation unit includes:

[0024] The calculation subunit is used to input each of the first adjustment parameters and each of the second adjustment parameters into a preset parameter calculation formula to obtain a third adjustment parameter for adjusting the lights at each point between the tunnel entrance and exit.

[0025] The first generation subunit, connected to the calculation subunit, is used to generate a plurality of light adjustment instructions and angle adjustment instructions associated with light addresses based on the first adjustment parameter, the second adjustment parameter and the third adjustment parameter, respectively.

[0026] The first adjustment parameter includes the first lamp illumination power, the first lamp luminous flux, and the first cylinder extension / retraction amount; the second adjustment parameter includes the second lamp illumination power, the second lamp luminous flux, and the second cylinder extension / retraction amount; and the third adjustment parameter includes the third lamp illumination power, the third lamp luminous flux, and the third cylinder extension / retraction amount.

[0027] Furthermore, the parameter calculation formula is configured as follows:

[0028]

[0029] Where n represents the address of the tunnel light, and n is a positive integer greater than zero;

[0030] m is used to represent the total number of lights between the tunnel entrance and exit;

[0031] P IDn (L Pn ,L fn E an ) is used to indicate the address of the light. n The third adjustment parameter for the tunnel lighting;

[0032] L PnUsed to indicate the light address n The illumination power of the third LED in the tunnel lighting;

[0033] L fn Used to indicate the light address n The luminous flux of the third LED in the tunnel lighting;

[0034] E an Used to indicate the light address n The extension and retraction of the third cylinder of the tunnel lights;

[0035] L Pi Used to indicate the illumination power of the first lamp bead, L Po Used to indicate the irradiation power of the second lamp bead;

[0036] L fi L is used to represent the luminous flux of the first LED chip. fo Used to indicate the luminous flux of the second LED;

[0037] E ai E is used to indicate the extension / retraction amount of the first cylinder. ao Used to indicate the extension or retraction of the second cylinder.

[0038] Furthermore, the instruction generation unit also includes a second generation subunit connected to the calculation subunit, used to generate a vehicle light control instruction based on the extension and retraction of the first cylinder, the extension and retraction of the second cylinder, and the extension and retraction of the third cylinder. The vehicle is equipped with an in-vehicle control terminal, which includes a vehicle light control unit connected to the second generation subunit, used to adjust the illumination angles of the vehicle's low beam and high beam headlights according to the vehicle light control instruction.

[0039] Furthermore, the entrance ambient light index includes a first ambient light intensity, a first ambient spectrum, and a first illumination angle; the exit ambient light index includes a second ambient light intensity, a second ambient spectrum, and a second illumination angle; and the light index includes tunnel illumination intensity, tunnel spectrum, and tunnel illumination angle.

[0040] The first difference equation is configured as follows:

[0041]

[0042] The second difference equation is configured as follows:

[0043]

[0044] f(x) is used to represent the objective function;

[0045] A L1 A is used to represent the first ambient light intensity. L2 T is used to represent the second ambient light intensity.L Used to represent the tunnel illumination intensity;

[0046] A S1 A is used to represent the first environmental spectrum. S2 Used to represent the second environmental spectrum, T S Used to represent the tunneling spectrum;

[0047] A a1 A is used to represent the first illumination angle. a2 T is used to represent the second illumination angle. a Used to indicate the tunnel light angle;

[0048] k1, k2, k3, b1, b2, b3 are used to represent the preset first coefficient, second coefficient, third coefficient, fourth coefficient, fifth coefficient, and sixth coefficient, respectively, and the first coefficient, second coefficient, third coefficient, fourth coefficient, fifth coefficient, and sixth coefficient are all constants.

[0049] Furthermore, the environmental disturbance parameters include temperature data, humidity data, air pressure data, and PM2.5 index; the heuristic factors include information heuristic factors and expected value heuristic factors; and the improvement unit includes:

[0050] The first adjustment subunit is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset first adjustment formula, and adjust the pheromone adjustment coefficient according to the first adjustment formula;

[0051] The second adjustment subunit is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset second adjustment formula, and adjust the information heuristic factor according to the first adjustment formula;

[0052] The third adjustment subunit is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset third adjustment formula, and adjust the expected value heuristic factor according to the first adjustment formula.

[0053] Furthermore, the first adjustment formula is configured as follows:

[0054]

[0055] Where ρ represents the pheromone adjustment coefficient, ρ max ρ is used to represent the maximum preset pheromone adjustment coefficient. min Used to represent the minimum value of the preset pheromone adjustment coefficient;

[0056] a1, a2, a3, and a4 are used to represent the preset seventh, eighth, ninth, and tenth coefficients, respectively.

[0057] N t N is used to represent the temperature data. h N is used to represent the humidity data. a N is used to represent the air pressure data. p Used to represent the PM2.5 index;

[0058] f(x) is used to represent the objective function;

[0059] f(x) avg Used to represent the average objective function value of the current ant colony algorithm;

[0060] The second adjustment formula is configured as follows:

[0061]

[0062] Wherein, α represents the information heuristic factor, α max α is used to represent the maximum preset information heuristic factor. min Used to represent the minimum value of the preset information heuristic factor;

[0063] k is used to represent the number of iterations of the current ant colony algorithm;

[0064] The third adjustment formula is configured as follows:

[0065]

[0066] Furthermore, it also includes a third detection module, connected to the control module, comprising:

[0067] The first detection unit is used to detect the vehicle's first speed at a first distance from the tunnel entrance in real time.

[0068] The second detection unit is used to detect the vehicle's second speed and entry acceleration before entering the tunnel entrance in real time.

[0069] The third detection unit is used to detect the vehicle's third speed and exit acceleration before leaving the tunnel exit in real time.

[0070] The control module further includes:

[0071] The first prediction unit is used to generate a predicted entry time for the vehicle to arrive at the tunnel entrance based on the second vehicle speed and the entry acceleration after receiving the first vehicle speed.

[0072] The second prediction unit is used to generate the predicted exit time of the vehicle arriving at the tunnel exit based on the third vehicle speed and the exit acceleration.

[0073] The sum of the following: the predicted entry time and the predicted exit time are both greater than the time to obtain the optimal solution; the time when each of the lighting adjustment commands and each of the angle adjustment commands are sent to the illumination adjustment module and the lighting adjustment module respectively; the time when the illumination angle adjustment module adjusts the illumination angle of the lights at the tunnel entrance and exit; and the time when the lighting adjustment module adjusts the light intensity and light spectrum of each light inside the tunnel.

[0074] A method for intelligent control of tunnel lighting, applied to the aforementioned intelligent tunnel lighting control system, comprising:

[0075] Step S1: The first detection module detects the ambient light index and environmental interference parameters at the tunnel entrance, and the second detection module detects the ambient light index at the tunnel exit.

[0076] Step S2: The training unit introduces an initial model, takes several pre-stored standard lighting adjustment parameters as input, and takes the corresponding standard lighting index as output to train a lighting prediction model.

[0077] Step S3: The difference unit establishes a first difference equation based on the entrance ambient light index and the light index, and establishes a second difference equation based on the exit ambient light index and the light index.

[0078] Step S4: The improvement unit improves the heuristic factor and pheromone evaporation factor of the ant colony algorithm according to the environmental interference parameters, and calculates the optimal solution when the objective function is minimized according to the improved ant colony algorithm. The optimal solution contains the corresponding light adjustment parameters.

[0079] Step S5: The instruction generation unit generates several light adjustment instructions and angle adjustment instructions based on each of the light adjustment parameters.

[0080] Step S6: The illumination angle adjustment module adjusts the illumination angle of the lights at the tunnel entrance and exit according to the angle adjustment command, and the lighting adjustment module adjusts the light intensity and light spectrum of each light inside the tunnel according to the lighting adjustment command.

[0081] The beneficial effects of this invention are:

[0082] This invention first trains a lighting prediction model that predicts the corresponding lighting index based on lighting adjustment parameters. Then, it establishes a first difference equation and a second difference equation based on the lighting index, the entrance ambient light index, and the exit ambient light index. By using environmental interference parameters to improve the heuristic factor and pheromone residue coefficient of the ant colony algorithm, it helps the ant colony algorithm converge quickly and reduces the pheromone evaporation rate. Finally, it uses the improved ant colony algorithm to find the optimal solution when the objective function is minimized. Based on the lighting adjustment parameters contained in the optimal solution, it adjusts the illumination angle, light intensity, and light spectrum of the lights at various locations inside the tunnel, so that the lighting index of the lights at the tunnel entrance is infinitely close to the entrance ambient light index, and the lighting index of the lights at the tunnel exit is infinitely close to the exit ambient light index. This makes the light transition smooth when the driver enters the tunnel and exits the tunnel, avoiding the visual attenuation period and improving the safety of vehicles driving in the tunnel. Attached Figure Description

[0083] Figure 1 This is a schematic diagram of the intelligent tunnel lighting control system of the present invention;

[0084] Figure 2 This is a schematic diagram of the illumination angle adjustment module in this invention;

[0085] Figure 3 This is a flowchart of the steps in the intelligent control method for tunnel lighting in this invention.

[0086] Reference numerals: 1. First detection module; 2. Second detection module; 3. Control module; 31. Training unit; 32. Difference unit; 33. Improvement unit; 331. First adjustment subunit; 332. Second adjustment subunit; 333. Third adjustment subunit; 34. Instruction generation unit; 341. Calculation subunit; 342. First generation subunit; 343. Second generation subunit; 35. First prediction unit; 36. Second prediction unit; 4. Illumination angle adjustment module; 41. Fixed column; 42. Sliding disk; 43. Drive cylinder; 44. Telescopic rod; 45. Fixed disk; 46. Elastic connecting rod; 47. Swing rod; 5. Lighting adjustment module; 6. Third detection module; 61. First detection unit; 62. Second detection unit; 63. Third detection unit. Detailed Implementation

[0087] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Identical components are denoted by the same reference numerals. It should be noted that the terms "front," "rear," "left," "right," "upper," and "lower" used in the following description refer to directions in the accompanying drawings, and the terms "bottom surface," "top surface," "inner," and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0088] like Figure 1 As shown, an intelligent tunnel lighting control system according to this embodiment includes:

[0089] The first detection module 1 is used to detect the entrance ambient light index and environmental interference parameters at the tunnel entrance. The entrance ambient light index includes the first ambient light intensity, the first ambient spectrum and the first illumination angle. The environmental interference parameters include temperature data, humidity data, air pressure data and PM2.5 index.

[0090] The second detection module 2 is used to detect the ambient light index at the tunnel exit. The ambient light index includes the second ambient light intensity, the second ambient spectrum, and the second illumination angle.

[0091] Control module 3, connected to the first detection module 1 and the second detection module 2 respectively, includes:

[0092] Training unit 31 is used to introduce an initial model and take several pre-stored standard lighting adjustment parameters as input and the corresponding standard lighting index as output to train a lighting prediction model. The input of the lighting prediction model is several lighting adjustment parameters, and the output is the lighting index, which includes tunnel illumination intensity, tunnel spectrum and tunnel light angle.

[0093] The difference unit 32 is connected to the training unit 31 and is used to establish a first difference equation based on the entrance ambient light index and the light index, and to establish a second difference equation based on the exit ambient light index and the light index. Both the first difference equation and the second difference equation contain an objective function.

[0094] Preferably, the first difference equation is configured as follows:

[0095]

[0096] The second difference equation is configured as follows:

[0097]

[0098] f(x) is used to represent the objective function;

[0099] A L1 Used to represent the first ambient light intensity, A L2 Used to represent the second ambient light intensity, T L Used to indicate tunnel illumination intensity;

[0100] A S1 Used to represent the first environmental spectrum, A S2 Used to represent the second environmental spectrum, T S Used to represent tunneling spectra;

[0101] A a1 Used to indicate the first illumination angle, Aa2 T is used to indicate the second illumination angle. a Used to indicate the angle of tunnel light;

[0102] k1, k2, k3, b1, b2, b3 are used to represent the preset first coefficient, second coefficient, third coefficient, fourth coefficient, fifth coefficient, and sixth coefficient, respectively. The first coefficient, second coefficient, third coefficient, fourth coefficient, fifth coefficient, and sixth coefficient are all constants.

[0103] Improvement unit 33 is connected to difference unit 32, which is used to improve the heuristic factor and pheromone residual coefficient of ant colony algorithm according to various environmental interference parameters, and calculate the optimal solution when the objective function is minimized according to the improved ant colony algorithm. The optimal solution contains the corresponding lighting adjustment parameters.

[0104] The instruction generation unit 34 is connected to the improvement unit 33 and is used to generate several light adjustment instructions and angle adjustment instructions according to each light adjustment parameter.

[0105] The illumination angle adjustment module 4 is connected to the control module 3 and is used to adjust the illumination angle of each light inside the tunnel according to the angle adjustment command.

[0106] The lighting adjustment module 5 is connected to the control module 3 and is used to adjust the light intensity and light spectrum of each light inside the tunnel according to the lighting adjustment command.

[0107] Preferably, it also includes a third detection module 6, connected to the control module 3, including:

[0108] The first detection unit 61 is used to detect the first vehicle speed at a first distance from the tunnel entrance in real time.

[0109] The second detection unit 62 is used to detect the vehicle's second speed and entry acceleration before entering the tunnel entrance in real time.

[0110] The third detection unit 63 is used to detect the vehicle's third speed and exit acceleration before leaving the tunnel exit in real time.

[0111] Then control module 3 also includes:

[0112] The first prediction unit 35 is used to generate a predicted entry time for the vehicle to arrive at the tunnel entrance based on the second vehicle speed and the entry acceleration after receiving the first vehicle speed.

[0113] The second prediction unit 36 ​​is used to generate a predicted exit time for the vehicle to arrive at the tunnel exit based on the third vehicle speed and exit acceleration.

[0114] Specifically, in this embodiment, the first detection module 1 may include a light intensity meter, a spectrum meter, a light angle detector, a temperature and humidity meter, a barometric pressure sensor, and a PM2.5 air quality detector. The light intensity meter is used to detect the first ambient light intensity at the tunnel entrance; the spectrum meter is used to detect the first ambient spectrum of the ambient light at the tunnel entrance; the light angle detector is used to detect the first light angle of the ambient light at the tunnel entrance; the temperature and humidity meter is used to detect temperature and humidity data at the tunnel entrance; the barometric pressure sensor is used to detect barometric pressure data at the tunnel entrance; and the PM2.5 air quality detector is used to detect the PM2.5 index at the tunnel entrance. The second detection module 2 may include a light intensity meter, a spectrum meter, and a light angle detector. The light intensity meter is used to detect the second ambient light intensity at the tunnel exit; the spectrum meter is used to detect the second ambient spectrum of the ambient light at the tunnel exit; and the light angle detector is used to detect the second light angle of the ambient light at the tunnel exit.

[0115] Control module 3 can be an intelligent control terminal inside the tunnel. Training unit 31 introduces an initial model, which can be a LightGBM model. The non-volatile memory of the intelligent control terminal pre-stores several standard lighting adjustment parameters and corresponding standard lighting indices for model training. Training unit 31 pre-divides the standard lighting adjustment parameters and standard lighting indices into training and validation sets at a ratio of 3:1. The data in the training set is used for initial model training, and the data in the validation set is used to record the model prediction accuracy and adjust the model parameters. During the model parameter adjustment process, the model prediction accuracy must reach above 95% before the lighting prediction model can be output. The lighting index output by the lighting prediction model is the lighting index at the tunnel entrance or exit. The difference unit 32 establishes a first difference equation to reflect the difference between the ambient light index at the entrance and the lighting index at the tunnel entrance, and establishes a second difference equation to reflect the difference between the ambient light index at the exit and the lighting index at the tunnel exit. When the objective function in the first difference equation reaches its minimum value, it indicates that the difference between the ambient light at the tunnel entrance and the lighting at the tunnel entrance is the smallest, reaching the theoretically minimum state of impact on the driver's vision. Similarly, when the objective function in the second difference equation reaches its minimum value, it indicates that the difference between the ambient light at the tunnel exit and the lighting at the tunnel exit is the smallest, reaching the theoretically minimum state of impact on the driver's vision. The improved ant colony algorithm is used to find the optimal solution when the objective function is minimized. The optimal solution contains several lighting adjustment parameters that make the lights at the tunnel entrance and exit as close as possible to the ambient light. The instruction generation unit 34 generates lighting adjustment instructions and angle adjustment instructions based on the lighting adjustment parameters in the optimal solution. This enables the illumination angle adjustment module 4 and the lighting adjustment module 5 to adjust the lights at the tunnel entrance and exit, making the light index at the tunnel entrance infinitely close to the ambient light index at the entrance, and the light index at the tunnel exit infinitely close to the ambient light index at the exit. This makes the light transition smooth when the driver enters the tunnel and exits the tunnel, avoiding the visual attenuation period and improving the safety of vehicles driving in the tunnel.

[0116] The lighting adjustment parameters include a first adjustment parameter for adjusting the tunnel entrance lighting and a second adjustment parameter for adjusting the tunnel exit lighting. Lighting adjustments at the tunnel entrance and exit sections within the tunnel are determined based on the first and second adjustment parameters. Several tunnel lights are evenly distributed along the tunnel's extension direction, and each tunnel light is pre-assigned a light address. The instruction generation unit 34 includes:

[0117] The calculation subunit 341 is used to input each of the first adjustment parameters and each of the second adjustment parameters into a preset parameter calculation formula to obtain the third adjustment parameter used to adjust the lights at each point between the tunnel entrance and exit.

[0118] The first generation subunit 342 is connected to the calculation subunit 341 and is used to generate a number of light adjustment instructions and angle adjustment instructions associated with the light address according to the first adjustment parameter, the second adjustment parameter and the third adjustment parameter respectively.

[0119] The first adjustment parameters include the illumination power of the first LED, the luminous flux of the first LED, and the extension / retraction of the first cylinder. The second adjustment parameters include the illumination power of the second LED, the luminous flux of the second LED, and the extension / retraction of the second cylinder. The third adjustment parameters include the illumination power of the third LED, the luminous flux of the third LED, and the extension / retraction of the third cylinder. The parameter calculation formulas are configured as follows:

[0120]

[0121] Where n represents the address of the tunnel light, and n is a positive integer greater than zero;

[0122] m is used to represent the total number of lights between the tunnel entrance and exit;

[0123] P IDn (L Pn ,L fn E an ) is used to indicate the address of the light. n The third adjustment parameter for tunnel lighting;

[0124] L Pn Used to indicate the light address n The illumination power of the third LED in the tunnel lighting;

[0125] L fn Used to indicate the light address n The luminous flux of the third LED in the tunnel lighting;

[0126] E an Used to indicate the light address n The extension and retraction of the third cylinder of the tunnel lights;

[0127] L Pi Used to indicate the illumination power of the first lamp bead, L Po Used to indicate the irradiation power of the second lamp bead;

[0128] L fi L is used to represent the luminous flux of the first LED chip. fo Used to indicate the luminous flux of the second LED;

[0129] E ai E is used to indicate the extension / retraction amount of the first cylinder. ao Used to indicate the extension or retraction of the second cylinder.

[0130] The third adjustment parameter in this technical solution is used to adjust the light intensity, light spectrum, and illumination angle of the tunnel lights between the tunnel entrance and the tunnel exit. Through the parameter calculation formula, it can be seen that the illumination power, luminous flux, and cylinder extension / retraction of the third lamp for each tunnel light between the tunnel entrance and exit are obtained by performing arithmetic operations based on the differences between the illumination power and the second lamp, the luminous flux, and the cylinder extension / retraction. Therefore, from the moment a vehicle enters the tunnel to the moment it exits, the changes in light intensity, illumination angle, and spectrum of the tunnel lights are gradual and smooth, without abrupt changes in light intensity, improving the driving experience and further enhancing the safety of vehicles driving in the tunnel.

[0131] The tunnel lighting is preferably composed of LED light strings containing red, green, and blue light. The light intensity adjustment is achieved by adjusting the overall illumination power of each LED string; the light spectrum adjustment is achieved by adjusting the luminous flux of each LED string; and the illumination angle adjustment is achieved through the illumination angle adjustment module 4. Preferably, such as... Figure 2 As shown, the illumination angle adjustment module 4 includes:

[0132] The fixed column 41 is vertically fixed at one end to the inner wall of the tunnel entrance or exit, and the tunnel light is set at the end of the fixed column 41 away from the inner wall of the tunnel.

[0133] The sliding disk 42 is slidably sleeved on the outer wall of the fixed column 41, and a number of first hinge grooves are evenly opened on the outer edge of the sliding disk 42.

[0134] The drive cylinder 43 has a piston rod that is fixedly connected to the side of the sliding disk 42 facing the inner wall of the tunnel, and the end away from the piston rod is fixedly connected to the inner wall of the tunnel. It is used to drive the sliding disk 42 to slide back and forth on the fixed column 41.

[0135] Several telescopic rods 44 are fixedly connected at one end to the inner wall of the tunnel and at the other end to the side of the sliding disc 42 facing the inner wall of the tunnel. Each telescopic rod 44 is evenly distributed between the inner wall of the tunnel and the sliding disc 42, and is used to drive the sliding disc 42 to slide back and forth on the fixed column 41 along with the drive cylinder 43.

[0136] The fixing plate 45 is fixedly sleeved on the outer wall of the fixing column 41 at the end away from the inner wall of the tunnel. The outer edge of the fixing plate 45 is evenly provided with a number of second hinge slots. The first hinge slots and the second hinge slots are aligned in the same direction and have the same number.

[0137] Several elastic links 46, one end of each elastic link 46 is hinged in the first hinge groove, and a flexible reflective film is fixedly connected to the outside of each elastic link 46.

[0138] Several swing rods 47, one end of each swing rod 47 is hinged in the second hinge groove, and the end of each swing rod 47 away from the second hinge groove is hinged to the inner side of the elastic connecting rod 46.

[0139] The drive cylinder 43 adjusts the extension and retraction of its piston rod according to the angle adjustment command. The extension and retraction of the piston rod drives the sliding disc 42 to slide back and forth on the outer wall of the fixed column 41. Each swing rod 47 drives each elastic connecting rod 46 to either expand or contract the flexible reflective film. The elastic connecting rods 46 are made of spring steel and undergo slight deformation during the stretching and expansion of the flexible reflective film. After the flexible reflective film contracts, the elastic connecting rods 46 gradually return to their original shape. Because the flexible reflective film can reflect light, the illumination angle of the tunnel light is adjusted accordingly when the flexible reflective film is expanded or contracted. This structure enables automated and convenient adjustment of the tunnel light's illumination angle. Furthermore, the fixed column 41 and the tunnel light can be connected via a quick-release structure, facilitating the installation and removal of the tunnel light.

[0140] In this embodiment, the first detection unit 61 can be a vehicle speed detection device originally installed 100 meters from the tunnel entrance, used to perform a first speed measurement on the vehicle before it enters the tunnel to obtain a first vehicle speed. The second detection unit 62 can be a vehicle speed detection device and an acceleration detection device installed 1 meter before the tunnel entrance, used to perform a second speed measurement and a first acceleration detection on the vehicle before it enters the tunnel, respectively, to obtain a second vehicle speed and an entry acceleration. The third detection unit 63 can be a vehicle speed detection device and an acceleration detection device installed 1 meter inside the tunnel from the tunnel exit, used to perform a third speed measurement and a second acceleration detection on the vehicle before it enters the tunnel, respectively, to obtain a second vehicle speed and an entry acceleration. The third detection module 6 sends the first vehicle speed, second vehicle speed, third vehicle speed, entry acceleration, and exit acceleration to the control module 3. The first vehicle speed serves as the trigger signal. According to the formula, where is the distance between the vehicle and the entrance (1 meter), is the second vehicle speed, and is the acceleration upon entering the tunnel. Therefore, the first prediction unit 35 can calculate the predicted entry time. Similarly, the second prediction unit 36 ​​can calculate the predicted exit time according to the above formula. Both the predicted entry time and the predicted exit time are greater than the time required to obtain the optimal solution of the objective function, the time required for each light adjustment command and each angle adjustment command to be sent to the illumination adjustment module and the lighting adjustment module 5, the time required for the illumination angle adjustment module 4 to adjust the illumination angle of the lights at the tunnel entrance and exit, and the time required for the lighting adjustment module 5 to adjust the light intensity and light spectrum of each light inside the tunnel. This ensures that the lights at the tunnel entrance can be adjusted in advance before the vehicle enters the tunnel, and the lights at the tunnel exit can be adjusted in advance before the vehicle leaves the tunnel. This avoids the impact on the driver's vision during the visual attenuation period, which could lead to a safety accident. This setting improves the safety of this technical solution.

[0141] Preferably, the instruction generation unit 34 further includes a second generation subunit 343 connected to the calculation subunit 341, used to generate a vehicle light control instruction based on the extension and retraction of the first cylinder, the extension and retraction of the second cylinder, and the extension and retraction of the third cylinder. The vehicle is equipped with an in-vehicle control terminal, which includes a vehicle light control unit connected to the second generation subunit 343, used to adjust the illumination angle of the vehicle's low beam and high beam according to the vehicle light control instruction.

[0142] Specifically, in this embodiment, the illumination angle adjustment module 4 adjusts the illumination angle of the tunnel lights at various locations inside the tunnel based on the extension and retraction of the first, second, and third cylinders. Since vehicles typically turn on their headlights after entering the tunnel, the light emitted by the headlights also affects the driver's vision. Vehicles are generally equipped with a light intensity sensor, which switches between high and low beams when the external light intensity is detected to be below a preset threshold. When a vehicle enters the tunnel, the tunnel lights overlap with the light emitted by the vehicle's high and low beams. The illumination angle of the tunnel lights is adjusted by the illumination angle adjustment module 4, while the illumination angle of the vehicle's high and low beams can be adjusted by regulating the height of the high and low beams using the headlight control unit. In this technical solution, the angle between the tunnel lights and the vehicle lights is set between 30° and 60°, preferably 45°. The in-vehicle control terminal calculates the vehicle's beam angle based on the current height of the high and low beam headlights and sends it to the control module 3 in this technical solution. The control module 3 calculates the illumination angle of each tunnel light based on the extension and retraction of the first, second, and third cylinders. The tunnel lights and vehicle lights are placed in the same coordinate system, and the angle between them is calculated. To set the angle between the tunnel lights and vehicle lights between 30° and 60°, the vehicle light illumination angle range is calculated based on the tunnel light illumination angle and the angle between them. A headlight control command is generated based on this range and sent to the in-vehicle control terminal. The headlight control unit adjusts the height of the high and low beam headlights, thereby adjusting the beam angle of the vehicle lights. This setup optimizes the driver's forward field of vision and further improves driving safety.

[0143] Preferably, the heuristic factors include information heuristic factors and expected value heuristic factors, and the improvement unit 33 includes:

[0144] The first adjustment subunit 331 is used to input temperature data, humidity data, air pressure data and PM2.5 index into a preset first adjustment formula, and adjust the pheromone adjustment coefficient according to the first adjustment formula;

[0145] The second adjustment subunit 332 is used to input temperature data, humidity data, air pressure data and PM2.5 index into a preset second adjustment formula, and adjust the information heuristic factor according to the first adjustment formula;

[0146] The third adjustment subunit 333 is used to input temperature data, humidity data, air pressure data and PM2.5 index into a preset third adjustment formula, and adjust the expected value heuristic factor according to the first adjustment formula.

[0147] Specifically, in this embodiment, the pheromone adjustment coefficient represents the level of pheromone disappearance. Setting this parameter too high will cause pheromones to dissipate too quickly, potentially leading to the exclusion of optimal paths; setting it too low will result in less difference in pheromone content across paths, reducing convergence speed. When the objective function value is greater than the average objective function value, the pheromone adjustment coefficient is relatively small. To ensure convergence speed, the pheromone adjustment coefficient is configured to its maximum value of 0.5. When the objective function value is not greater than the average objective function value, the pheromone adjustment coefficient is relatively large. To prevent pheromone from dissipating too quickly, the pheromone adjustment coefficient needs to be reduced. To reduce the interference of the environment on the light index, an environmental interference parameter is introduced into the first adjustment formula, and the pheromone adjustment coefficient is reduced through calculation. The minimum value of the pheromone adjustment coefficient can be 0.2. This setting improves convergence efficiency and reduces the pheromone dissipation rate, thus finding the minimum value of the objective function.

[0148] The information heuristic factor represents the relative importance of the amount of pheromone accumulated along the ant's path in guiding the ant colony's search. Setting this parameter too high can weaken the algorithm's randomness; setting it too low can lead to an excessively small search range, causing premature convergence and trapping the colony in a local optimum. The minimum value of the information heuristic factor can be set to 1, and the maximum value to 4. To avoid excessively high or low information heuristic factors and to reduce environmental interference with the light index, an environmental interference parameter is introduced into the second adjustment formula. This second adjustment formula limits the information heuristic factor within a suitable range, ensuring both the randomness of the ant colony algorithm and keeping the search within the ant colony's search threshold, thus preventing premature convergence.

[0149] The expected value heuristic factor represents the relative importance of heuristic information in guiding the ant colony search process. Setting this parameter too high will accelerate convergence but easily lead to local optima; setting it too low will increase the randomness of the ant colony search, making it difficult to find the optimal solution. When the objective function value is not greater than the average objective function value, it indicates that the expected value heuristic factor is relatively large. To avoid getting trapped in local optima, the expected value heuristic factor is configured to the minimum pheromone adjustment coefficient of 2. When the objective function value is greater than the average objective function value, it indicates that the expected value heuristic factor is relatively small. To avoid increasing the randomness of the ant colony search and to reduce the interference of the environment on the light index, the environmental interference parameter is introduced into the first adjustment formula. This calculation increases the expected value heuristic factor, thus avoiding local optima and preventing the ant colony search from becoming too random and failing to find the optimal solution.

[0150] A method for intelligent control of tunnel lighting, applied to the aforementioned intelligent tunnel lighting control system, such as... Figure 3 As shown, it includes:

[0151] Step S1: The first detection module 1 detects the ambient light index and environmental interference parameters at the tunnel entrance, and the second detection module 2 detects the ambient light index at the tunnel exit.

[0152] Step S2: The training unit 31 introduces an initial model, takes several pre-stored standard lighting adjustment parameters as input, and takes the corresponding standard lighting index as output to train a lighting prediction model.

[0153] Step S3: The difference unit 32 establishes a first difference equation based on the entrance ambient light index and the light index, and a second difference equation based on the exit ambient light index and the light index.

[0154] Step S4: Improvement unit 33 improves the heuristic factor and pheromone evaporation factor of the ant colony algorithm according to various environmental interference parameters, and calculates the optimal solution when the objective function is minimized according to the improved ant colony algorithm. The optimal solution contains the corresponding lighting adjustment parameters.

[0155] Step S5: The instruction generation unit 34 generates several light adjustment instructions and angle adjustment instructions based on each light adjustment parameter.

[0156] In step S6, the illumination angle adjustment module 4 adjusts the illumination angle of the lights at the tunnel entrance and exit according to the angle adjustment command, and the lighting adjustment module 5 adjusts the light intensity and light spectrum of each light inside the tunnel according to the lighting adjustment command.

[0157] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A tunnel lighting intelligent control system, characterized in that, include: The first detection module (1) is used to detect the entrance ambient light index and environmental interference parameters at the tunnel entrance; the entrance ambient light index includes the first ambient light intensity, the first ambient spectrum and the first illumination angle; the environmental interference parameters include temperature data, humidity data, air pressure data and PM2.5 index. The second detection module (2) is used to detect the ambient light index at the tunnel exit; the ambient light index includes the second ambient light intensity, the second ambient spectrum, and the second illumination angle. The control module (3), connected to the first detection module (1) and the second detection module (2) respectively, includes: The training unit (31) is used to introduce an initial model and take a number of pre-stored standard lighting adjustment parameters as input and the corresponding standard lighting index as output to train a lighting prediction model. The input of the lighting prediction model is a number of lighting adjustment parameters and the output is a lighting index. The lighting index includes tunnel illumination intensity, tunnel spectrum and tunnel light angle. The lighting adjustment parameters include a first adjustment parameter for adjusting the lighting at the tunnel entrance and a second adjustment parameter for adjusting the lighting at the tunnel exit. The difference unit (32) is connected to the training unit (31) and is used to establish a first difference equation based on the entrance ambient light index and the light index, and to establish a second difference equation based on the exit ambient light index and the light index. Both the first difference equation and the second difference equation contain an objective function. An improvement unit (33) is connected to the difference unit (32) and is used to improve the heuristic factor and pheromone residual coefficient of the ant colony algorithm according to each of the environmental interference parameters, and calculate the optimal solution when the objective function is minimized according to the improved ant colony algorithm. The optimal solution contains the corresponding light adjustment parameters. The instruction generation unit (34) is connected to the improvement unit (33) and is used to generate several light adjustment instructions and angle adjustment instructions according to each of the light adjustment parameters; The illumination angle adjustment module (4) is connected to the control module (3) and is used to adjust the illumination angle of each light inside the tunnel according to the angle adjustment command. The lighting adjustment module (5) is connected to the control module (3) and is used to adjust the light intensity and light spectrum of each light inside the tunnel according to the lighting adjustment command. The heuristic factors include information heuristic factors and expected value heuristic factors, and the improvement unit (33) includes: The first adjustment subunit (331) is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset first adjustment formula, and adjust the pheromone adjustment coefficient according to the first adjustment formula; The second adjustment subunit (332) is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset second adjustment formula, and adjust the information heuristic factor according to the first adjustment formula; The third adjustment subunit (333) is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset third adjustment formula, and adjust the expected value heuristic factor according to the first adjustment formula; The first adjustment formula is configured as follows: in, Used to represent the pheromone adjustment coefficient Used to represent the maximum value of the preset pheromone adjustment coefficient. Used to represent the minimum value of the preset pheromone adjustment coefficient; These are used to represent the preset seventh, eighth, ninth, and tenth coefficients, respectively. Used to represent the temperature data. Used to represent the humidity data Used to represent the air pressure data Used to represent the PM2.5 index; Used to represent the objective function; Used to represent the average objective function value of the current ant colony algorithm; The second adjustment formula is configured as follows: ； in, Used to represent the information heuristic factor Used to represent the maximum value of the preset information heuristic factor Used to represent the minimum value of the preset information heuristic factor; Used to indicate the current iteration number of the ant colony algorithm; The third adjustment formula is configured as follows: 。 2. The intelligent tunnel lighting control system according to claim 1, characterized in that: The illumination angle adjustment module (4) includes: A fixed column (41) is vertically fixed at one end to the inner wall of the tunnel entrance or exit, and the tunnel light is set at the end of the fixed column (41) away from the inner wall of the tunnel. The sliding disk (42) is slidably sleeved on the outer wall of the fixed column (41), and a plurality of first hinge grooves are evenly provided on the outer edge of the sliding disk (42). A drive cylinder (43) is fixedly connected at one end to the inner wall of the tunnel and at the other end to the side of the sliding disc (42) facing the inner wall of the tunnel, for driving the sliding disc (42) to slide back and forth on the fixed column (41); Several telescopic rods (44) are provided, with the piston rod fixedly connected to the sliding disc (42) on the side facing the inner wall of the tunnel, and the end away from the piston rod fixedly connected to the inner wall of the tunnel. Each of the telescopic rods (44) is evenly distributed between the inner wall of the tunnel and the sliding disc (42), and is used to drive the sliding disc (42) to slide back and forth on the fixed column (41) along with the driving cylinder (43). The fixing plate (45) is fixedly sleeved on the outer wall of the fixed column (41) away from the inner wall of the tunnel. The outer edge of the fixing plate (45) is evenly provided with a number of second hinge slots. The first hinge slots and the second hinge slots are aligned in the same direction and have the same number. A plurality of elastic links (46), one end of each elastic link (46) is hinged in the first hinge groove, and a flexible reflective film is fixedly connected to the outside of each elastic link (46); A plurality of swing rods (47), one end of each swing rod (47) is hinged in the second hinge groove, and the end of each swing rod (47) away from the second hinge groove is hinged to the inner side of the elastic connecting rod (46); When the driving cylinder (43) drives the sliding disk (42) to slide back and forth on the outer wall of the fixed column (41), each of the swing rods (47) drives each of the elastic connecting rods (46) to expand the flexible reflective film outward or contract the flexible reflective film inward, so as to adjust the illumination angle of the tunnel light.

3. The intelligent tunnel lighting control system according to claim 1, characterized in that: The instruction generation unit (34) includes: The calculation subunit (341) is used to input each of the first adjustment parameters and each of the second adjustment parameters into a preset parameter calculation formula to obtain a third adjustment parameter for adjusting the lights at each point between the tunnel entrance and exit. The first generation subunit (342) is connected to the calculation subunit (341) and is used to generate a plurality of light adjustment instructions and angle adjustment instructions associated with light addresses according to the first adjustment parameter, the second adjustment parameter and the third adjustment parameter, respectively. The first adjustment parameter includes the first lamp illumination power, the first lamp luminous flux, and the first cylinder extension / retraction amount; the second adjustment parameter includes the second lamp illumination power, the second lamp luminous flux, and the second cylinder extension / retraction amount; and the third adjustment parameter includes the third lamp illumination power, the third lamp luminous flux, and the third cylinder extension / retraction amount.

4. The intelligent tunnel lighting control system according to claim 3, characterized in that: The parameter calculation formula is configured as follows: ； in, The address used to represent the tunnel lights. It is a positive integer greater than zero; Used to indicate the total number of lights between the tunnel entrance and exit; Used to indicate the light address The third adjustment parameter for the tunnel lighting; Used to indicate the light address The illumination power of the third LED in the tunnel lighting; Used to indicate the light address The luminous flux of the third LED in the tunnel lighting; Used to indicate the light address The extension and retraction of the third cylinder of the tunnel lights; Used to indicate the illumination power of the first LED chip. Used to indicate the irradiation power of the second lamp bead; Used to indicate the luminous flux of the first LED chip. Used to indicate the luminous flux of the second LED; Used to indicate the extension / retraction amount of the first cylinder. Used to indicate the extension or retraction of the second cylinder.

5. The intelligent tunnel lighting control system according to claim 3, characterized in that: The instruction generation unit (34) further includes a second generation subunit (343) connected to the calculation subunit (341), used to generate a vehicle light control instruction based on the extension and retraction of the first cylinder, the extension and retraction of the second cylinder and the extension and retraction of the third cylinder. An in-vehicle control terminal is preset in the vehicle. The in-vehicle control terminal includes a vehicle light control unit connected to the second generation subunit (343), used to adjust the illumination angle of the low beam and high beam of the vehicle according to the vehicle light control instruction.

6. The intelligent tunnel lighting control system according to claim 1, characterized in that: The first difference equation is configured as follows: The second difference equation is configured as follows: Used to represent the objective function; Used to represent the intensity of the first ambient light. Used to represent the second ambient light intensity. Used to represent the tunnel illumination intensity; Used to represent the first environmental spectrum Used to represent the second environmental spectrum Used to represent the tunneling spectrum; Used to represent the first illumination angle Used to indicate the second illumination angle Used to indicate the tunnel light angle; These are used to represent the preset first coefficient, second coefficient, third coefficient, fourth coefficient, fifth coefficient, and sixth coefficient, respectively, where the first coefficient, second coefficient, third coefficient, fourth coefficient, fifth coefficient, and sixth coefficient are all constants.

7. The intelligent tunnel lighting control system according to claim 1, characterized in that: It also includes a third detection module (6), connected to the control module (3), comprising: The first detection unit (61) is used to detect the first vehicle speed at a first distance from the tunnel entrance in real time; The second detection unit (62) is used to detect the vehicle's second speed and entry acceleration before entering the tunnel entrance in real time; The third detection unit (63) is used to detect the vehicle's third speed and exit acceleration before leaving the tunnel exit in real time; The control module (3) further includes: The first prediction unit (35) is used to generate a predicted entry time of the vehicle to the tunnel entrance based on the second vehicle speed and the entry acceleration after receiving the first vehicle speed. The second prediction unit (36) is used to generate a predicted exit time for the vehicle to arrive at the tunnel exit based on the third vehicle speed and the exit acceleration. The predicted entry time and the predicted exit time are both greater than the time to obtain the optimal solution, the time when each of the lighting adjustment commands and the angle adjustment commands are sent to the illumination angle adjustment module (4) and the lighting adjustment module (5), the time when the illumination angle adjustment module (4) adjusts the illumination angle of the lights at the tunnel entrance and exit, and the sum of the time when the lighting adjustment module (5) adjusts the light intensity and light spectrum of each light inside the tunnel.

8. A method for intelligent control of tunnel lighting, applied to the intelligent tunnel lighting control system described in claims 1-7, characterized in that, include: Step S1: The first detection module (1) detects the ambient light index and environmental interference parameters at the tunnel entrance, and the second detection module (2) detects the ambient light index at the tunnel exit; the ambient light index at the entrance includes the first ambient light intensity, the first ambient spectrum, and the first illumination angle; the environmental interference parameters include temperature data, humidity data, air pressure data, and PM2.5 index; the ambient light index at the exit includes the second ambient light intensity, the second ambient spectrum, and the second illumination angle. Step S2, the training unit (31) introduces an initial model and takes several pre-stored standard lighting adjustment parameters as input and the corresponding standard lighting index as output to train a lighting prediction model; the lighting index includes tunnel illumination intensity, tunnel spectrum and tunnel light angle; the lighting adjustment parameters include a first adjustment parameter for adjusting the tunnel entrance lighting and a second adjustment parameter for adjusting the tunnel exit lighting. Step S3, the difference unit (32) establishes a first difference equation based on the entrance ambient light index and the light index, and establishes a second difference equation based on the exit ambient light index and the light index; Step S4, the improvement unit (33) improves the heuristic factor and pheromone evaporation factor of the ant colony algorithm according to each of the environmental interference parameters, and calculates the optimal solution when the objective function is minimized according to the improved ant colony algorithm. The optimal solution contains the corresponding light adjustment parameters. Step S5, the instruction generation unit (34) generates several light adjustment instructions and angle adjustment instructions according to each of the light adjustment parameters; Step S6, the illumination angle adjustment module (4) adjusts the illumination angle of the lights at the tunnel entrance and exit according to the angle adjustment command, and the lighting adjustment module (5) adjusts the light intensity and light spectrum of each light inside the tunnel according to the lighting adjustment command; The heuristic factors include information heuristic factors and expected value heuristic factors, and the improvement unit (33) includes: The first adjustment subunit (331) is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset first adjustment formula, and adjust the pheromone adjustment coefficient according to the first adjustment formula; The second adjustment subunit (332) is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset second adjustment formula, and adjust the information heuristic factor according to the first adjustment formula; The third adjustment subunit (333) is used to input the temperature data, humidity data, air pressure data and PM2.5 index into a preset third adjustment formula, and adjust the expected value heuristic factor according to the first adjustment formula; The first adjustment formula is configured as follows: in, Used to represent the pheromone adjustment coefficient Used to represent the maximum value of the preset pheromone adjustment coefficient. Used to represent the minimum value of the preset pheromone adjustment coefficient; These are used to represent the preset seventh, eighth, ninth, and tenth coefficients, respectively. Used to represent the temperature data. Used to represent the humidity data Used to represent the air pressure data Used to represent the PM2.5 index; Used to represent the objective function; Used to represent the average objective function value of the current ant colony algorithm; The second adjustment formula is configured as follows: ； in, Used to represent the information heuristic factor Used to represent the maximum value of the preset information heuristic factor Used to represent the minimum value of the preset information heuristic factor; Used to indicate the current iteration number of the ant colony algorithm; The third adjustment formula is configured as follows: 。

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