Tunnel lighting control method and system considering degree of contamination of tunnel side walls

Abstract

The present application relates to a kind of tunnel lighting control method considering the degree of tunnel side wall contamination, comprising the following steps: S1, based on sensor acquisition tunnel inside pollutant pollutant concentration data;S2, based on the light intensity data determined by illuminance sensor measured tunnel side wall clean coefficient;S3, based on the obtained pollutant concentration data and tunnel side wall clean coefficient determine the current degree of contamination level of tunnel side wall;S4, according to the current degree of contamination level of tunnel side wall obtained in step S3 to the tunnel inside lighting fixture is regulated.In the present application considering the degree of tunnel side wall contamination tunnel lighting control method and its system, by analyzing the concentration of pollutant in tunnel and the illumination level in tunnel, the degree of contamination of tunnel side wall is monitored in real time, and based on the degree of contamination of tunnel side wall obtained by real-time monitoring, the tunnel inside lighting fixture is controlled, to ensure the safety of driving in tunnel and energy saving.

Description

Technical Field

[0001] This invention relates to the field of carbon reduction technology for safe tunnel operation, and in particular to a tunnel lighting control method and system that takes into account the degree of contamination of tunnel sidewalls. Background Technology

[0002] The lighting environment inside tunnels is a crucial factor affecting the safe operation and maintenance of tunnels, especially in extra-long tunnels. Ensuring a suitable lighting environment inside tunnels can reduce accident risks, alleviate driver fatigue, and ensure the operation of monitoring and safety systems.

[0003] Pollution of the light environment inside the tunnel can affect operational safety and energy efficiency in the following ways:

[0004] 1. Reduced visibility: Contamination reduces the ability of light to travel, decreasing visibility within tunnels. This can increase driver fatigue and the risk of accidents. Reduced visibility may also cause vehicles to require longer braking distances, thus increasing the likelihood of traffic congestion and accidents.

[0005] 2. Decreased energy efficiency: Tunnel lighting typically consumes a large amount of energy, and contamination can cause light energy to be absorbed or scattered, requiring more lighting inside the tunnel to maintain adequate brightness. This increases electricity consumption, leading to energy waste and high energy costs;

[0006] 3. Uneven lighting: Contamination may cause uneven lighting in the tunnel, with some areas being too bright and others too dark. This can reduce driver comfort and visibility, and increase driver fatigue.

[0007] To address the problem of light pollution in tunnels, intelligent lighting control systems are generally employed. Previous research primarily focused on regulating traffic volume and illuminance levels. For example, Wang Yaqiong et al., in their paper "An Intelligent Control System for Highway Tunnel Lighting that Moves with Vehicles," proposed a "lighting-moving-with-vehicle" control system. This system monitors vehicles, environmental conditions, and traffic information, and uses a wide-area fusion Internet of Things (IoT) to achieve group control of LED light clusters. Intelligent lighting control is mainly achieved through traffic flow monitoring. The patent "Smart Tunnel Lighting Control System" primarily addresses issues such as dynamic dimming, remote monitoring, vehicle location and flow control, and energy conservation and environmental protection. This patent mainly uses the perception of illuminance levels within the tunnel to achieve intelligent lighting control.

[0008] As one of the three essential elements of a tunnel, the tunnel sidewall reflects light, which is a significant factor affecting the light environment. Therefore, the degree of contamination of the sidewall has an extremely important impact on the light environment. This is mainly reflected in the fact that contamination of the tunnel sidewall causes changes in the light environment, resulting in reduced brightness and illuminance inside the tunnel and a monochromatic spectrum, especially in extra-long tunnels.

[0009] Existing tunnel lighting control systems do not take into account the impact of tunnel sidewall contamination on the light environment. Therefore, it is essential to invent an adaptive tunnel lighting control system that takes into account the degree of tunnel sidewall contamination. Summary of the Invention

[0010] In view of this, the present invention provides a tunnel lighting control method and system that takes into account the degree of contamination of tunnel sidewalls. By analyzing the concentration of pollutants and the illuminance level in the tunnel, the degree of contamination of tunnel sidewalls is monitored in real time, and the lighting fixtures in the tunnel are controlled based on the degree of contamination of tunnel sidewalls obtained from real-time monitoring, thereby ensuring driving safety and energy conservation in the tunnel.

[0011] The first aspect of this invention discloses a tunnel lighting control method that takes into account the degree of contamination of the tunnel sidewalls, comprising the following steps:

[0012] S1, acquire pollutant concentration data inside the tunnel based on sensors;

[0013] S2, Determine the tunnel sidewall cleaning coefficient based on the light intensity data measured by the illuminance sensor;

[0014] S3, determine the current level of contamination of the tunnel sidewall based on the obtained pollutant concentration data and the tunnel sidewall cleanliness coefficient;

[0015] S4. Adjust the lighting fixtures in the tunnel according to the current level of contamination of the tunnel sidewall obtained in step S3.

[0016] Step S2 includes:

[0017] Step S21: Install multiple illuminance sensors in the tunnel to collect light intensity data, and define each illuminance sensor as an illuminance sensing unit.

[0018] Step S22: Determine the light intensity value I of each illuminance sensing unit using the light intensity data collected by the illuminance sensor. pb ;

[0019] Step S23, based on the following formula (1), the tunnel sidewall cleaning coefficient M based on each illuminance sensing unit is obtained:

[0020]

[0021] In the formula: I pb E represents the luminous intensity value of p luminaires in the direction normal to the b-th illuminance sensing unit; ub Let p be the horizontal illuminance produced by p luminaires on the b-th illuminance sensing unit; ρ be the diffuse reflection coefficient of the tunnel sidewall; S be the area of ​​the illuminance sensing unit; C be the luminaire cleanliness coefficient; n be the number of luminaires; I(c ab γ abLet c be the luminous intensity value of the a-th luminaire at the b-th illuminance sensing unit, where c ab It is the angle between the line connecting the calculation points of the lighting fixtures and the road surface projection and the tunnel extension direction, γ. ab β is the angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; ab θ is the incident angle of the light from luminaire a corresponding to unit b; ab H is the angle between the line connecting the center of luminaire a and the center of illuminance sensing unit b and the direction of the normal; ab denoted as ρ, where ρ is the vertical distance between the center point of the a-th luminaire and the b-th illuminance sensing unit; M is the tunnel sidewall cleaning coefficient based on each b-th illuminance sensing unit; where p is greater than or equal to 1.

[0022] Step S24: Take the average value of all tunnel sidewall cleaning coefficients based on each illuminance sensing unit as the final tunnel sidewall cleaning coefficient M. 均值 .

[0023] That is, in this invention, the tunnel sidewall cleanliness coefficient is set to be related to the light intensity values ​​of p luminaires within the light source sensing range S of the illuminance sensing unit in the normal direction of the corresponding illuminance sensing unit. This correlation is reflected by the above formula (1). In this invention, the tunnel sidewall cleanliness coefficient changes in real time according to the conditions inside the tunnel. When the light intensity values ​​of p luminaires within the light source sensing range of the illuminance sensing unit change in the normal direction of the illuminance sensing unit, the corresponding tunnel sidewall cleanliness coefficient will also change.

[0024] In the implementation of the control method of the first aspect of the present invention, steps S1 and S2 can be performed in different orders or simultaneously. The above formula (1) is pre-stored or input into a related hardware data processing system (such as the data recording and analysis device disclosed in the second aspect of the present invention below), which can calculate the current tunnel sidewall cleanliness coefficient based on the light intensity data sensed by the illuminance sensing unit, and then determine the current tunnel contamination level based on the currently known pollutant concentration data and the tunnel sidewall cleanliness coefficient. When the central control device learns the current contamination level of the tunnel sidewall, it will adjust the lighting fixtures in the tunnel according to the currently determined contamination level.

[0025] In this invention, in step S2, the light intensity data I collected by each illuminance sensing unit can be compared with the desired I. pb We can directly equate. That is, I in formula (1) pb The light intensity data collected by the corresponding illuminance sensing unit can be directly determined, thereby enabling the determination of the tunnel sidewall cleanliness coefficient based on each illuminance sensing unit.

[0026] Furthermore, in this invention, the average value of all tunnel sidewall cleaning coefficients obtained based on each illuminance sensing unit is taken as the final tunnel sidewall cleaning coefficient M. 均值 Based on this, step S3 includes:

[0027] Step S31: Determine the initial cleaning coefficient M0 of the tunnel sidewall based on the tunnel sidewall interior material; that is, after the tunnel sidewall interior material is determined, there will be an initial cleaning coefficient of the tunnel sidewall based on the tunnel sidewall interior material. It can be determined directly by human intervention based on the tunnel sidewall interior material, or it can be determined by calculation based on the parameters of the tunnel sidewall interior material through the light intensity data measured by the illuminance sensor.

[0028] Step S32: Determine the air quality index based on the pollutant concentration data obtained in step S1;

[0029] Step S33, based on the air quality index in step S32, and based on the tunnel sidewall cleanliness coefficient M 均值 The difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the current level of contamination of the tunnel sidewall is used to determine the current level of contamination of the tunnel sidewall.

[0030] Specifically, in step S33:

[0031] When 0 ≤ Air Quality Index < 50, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the initial cleanliness coefficient is less than 0.1, the level of contamination is Level 1.

[0032] When 50 ≤ Air Quality Index < 100, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.1 and less than 0.2, the contamination level is Grade II.

[0033] When 100 ≤ Air Quality Index < 200, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.2 and less than 0.3, the contamination level is three.

[0034] When the air quality index is ≥200, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the initial cleanliness coefficient is greater than or equal to 0.3 and less than or equal to 0.4, the level of contamination is level four.

[0035] The Air Quality Index is an abbreviation for Air Pollution Index.

[0036] In addition, in step S4, the luminaires are uniformly adjusted based on the current level of contamination of the tunnel sidewall determined in step S3, wherein the average value of all tunnel sidewall cleanliness coefficients generated based on each illuminance sensing unit is taken as the evaluation criterion.

[0037] According to the tunnel lighting control method considering the degree of contamination of tunnel sidewalls disclosed in the first aspect of the present invention, the pollutant concentration data is obtained based on the monitoring of gaseous pollutants in the tunnel by sensors.

[0038] The pollutants inside the tunnel are mainly vehicle exhaust and some particulate matter. The concentration of pollutants is monitored in real time by placing gas or particulate matter sensors inside the tunnel.

[0039] A second aspect of the present invention also discloses a tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewalls, comprising:

[0040] Multiple sensors are installed inside the tunnel to monitor the concentration of pollutants and obtain pollutant concentration data.

[0041] Illuminance sensors, multiple of which are installed inside the tunnel, are used to collect light intensity data to monitor the illuminance level inside the tunnel.

[0042] A data recording and analysis device is used to receive pollutant concentration data transmitted from sensors and light intensity data measured by an illuminance sensor, so as to determine the tunnel sidewall cleanliness coefficient based on the light intensity data measured by the illuminance sensor.

[0043] The central control unit is used to determine the current level of contamination of the tunnel sidewall based on the acquired pollutant concentration data and the tunnel sidewall cleanliness coefficient, and to adjust the lighting fixtures in the tunnel according to the corresponding determined level of contamination.

[0044] Each illuminance sensor is defined as an illuminance sensing unit. The data recording and analysis device determines the tunnel sidewall cleanliness coefficient based on each illuminance sensing unit according to the following formula (1) and based on the light intensity data measured by the illuminance sensor:

[0045]

[0046] In the formula: I pb Let E be the luminous intensity value of p luminaires in the direction normal to the b-th illuminance sensing unit, where p is greater than or equal to 1; ub Let p be the horizontal illuminance produced by p luminaires on the b-th illuminance sensing unit; ρ be the diffuse reflection coefficient of the tunnel sidewall; S be the area of ​​the illuminance sensing unit; C be the luminaire cleanliness coefficient; n be the number of luminaires; I(c ab γ abLet c be the luminous intensity value of the a-th luminaire at the b-th illuminance sensing unit, where c ab It is the angle between the line connecting the calculation points of the lighting fixtures and the road surface projection and the tunnel extension direction, γ. ab β is the angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; ab θ is the incident angle of the light from luminaire a corresponding to unit b; ab H is the angle between the line connecting the center of luminaire a and the center of illuminance sensing unit b and the direction of the normal; ab is the vertical distance between the center point of the a-th luminaire and the b-th illuminance sensing unit; M is the tunnel sidewall cleaning coefficient based on each b-th illuminance sensing unit;

[0047] Furthermore, the data recording and analysis device can take the average of all tunnel sidewall cleaning coefficients based on each illuminance sensing unit as the final tunnel sidewall cleaning coefficient M. 均值 .

[0048] Furthermore, in the control system disclosed in the second aspect of the present invention, the scheme by which the central control device determines the current level of contamination of the tunnel sidewall based on the acquired pollutant concentration data and the tunnel sidewall cleanliness coefficient includes the following steps:

[0049] The air quality index is determined based on the obtained pollutant concentration data;

[0050] Based on the air quality index and the tunnel sidewall cleanliness factor M 均值 The difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the current level of contamination of the tunnel sidewall is used to determine the current level of contamination of the tunnel sidewall.

[0051] Specifically, when 0 ≤ Air Quality Index < 50, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is less than 0.1, the contamination level is Grade 1; when 50 ≤ Air Quality Index < 100, the tunnel sidewall cleanliness coefficient M0 is... 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient M0 of the tunnel sidewall is greater than or equal to 0.1 and less than 0.2, the contamination level is Grade II; when 100 ≤ Air Quality Index < 200, the tunnel sidewall cleanliness coefficient M0 is... 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient M0 of the tunnel sidewall is greater than or equal to 0.2 and less than 0.3, the contamination level is grade three; when the air quality index is ≥200, the initial cleanliness coefficient M0 of the tunnel sidewall is... 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.3 and less than or equal to 0.4, the pollution level is classified as Level 4. The Air Quality Index (API) is an abbreviation for Air Pollution Index.

[0052] In the control system disclosed in the second aspect of the present invention, each sensor and each illuminance sensor is connected to a data recording and analysis device. The data recording and analysis device is capable of receiving signals and / or data transmitted from the gas sensor and the illuminance sensor, and analyzing the received signals and / or data, for example, determining the tunnel sidewall cleanliness coefficient based on formula (1) and the light intensity data measured by the illuminance sensor. The central control device can be implemented by integrating a device with a CPU processor, which is capable of connecting to the data recording and analysis device to determine the current contamination level of the tunnel sidewall based on the acquired contaminant concentration data and the tunnel sidewall cleanliness coefficient, and then adjusting the lighting fixtures in the tunnel according to the corresponding determined contamination level.

[0053] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewalls as disclosed in the second aspect, the contaminant concentration data is gaseous contaminant concentration data, and the sensor is a semiconductor gas sensor for monitoring the concentration of gaseous contaminants in the tunnel.

[0054] The semiconductor gas sensor of this invention consists of four parts: a sensing element, a conversion element, a conversion circuit, and an auxiliary power supply. The sensing element directly senses the measured gas and outputs a physical quantity signal that has a definite relationship with the measured gas; tin dioxide (SnO2), which has low conductivity, can be used. The conversion element converts the physical quantity output by the sensing element into an electrical signal. The conversion circuit amplifies and converts the electrical signal output by the conversion element. The auxiliary power supply, or power supply, mainly powers the conversion element and the conversion circuit. The sensor's power supply could be connected to a power source within the tunnel.

[0055] In the tunnel lighting control system considering the degree of contamination of tunnel sidewalls disclosed in the second aspect, the semiconductor gas sensor is integrated into a pollutant monitoring terminal. The pollutant monitoring terminal also includes an A / D converter, a microcontroller processing module, and a wireless communication module. The semiconductor gas sensor converts the collected gas signal into an analog electrical signal, the A / D converter converts the analog electrical signal into a digital electrical signal, the microcontroller processing module processes the digital electrical signal into pollutant concentration data, and then transmits the pollutant concentration data to a data recording and analysis device via the wireless communication module. The data recording and analysis device then centrally processes and makes decisions based on the data from different sensors, enabling the classification of pollutant concentrations.

[0056] In this invention, defining the layout and location of the sensors is crucial. The sensors need to be placed in locations that can provide accurate and representative data, which typically requires consideration of factors such as airflow, traffic flow, and pollutant diffusion paths within the tunnel. The sensors also need to be distributed in multiple locations to obtain comprehensive monitoring; therefore, installation on the tunnel sidewalls can be considered.

[0057] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewall as disclosed in the second aspect, the sensor is installed at a position more than one meter above the bottom of the tunnel sidewall; the installation spacing of the sensor in the tunnel entrance section and the tunnel exit section is 8-12m, and the installation spacing in the middle section of the tunnel is 4-6m.

[0058] Preferably, the sensor is installed in a location that is easily accessible and maintainable, allowing personnel to safely perform installation and maintenance. Considering that most pollutants in tunnels originate from vehicle exhaust emissions, the sensor is installed 1.2m above the bottom of the sidewall. Since this patent is designed for use in extra-long tunnels, the entrance and exit sections are in contact with the external environment, resulting in lower pollutant concentrations compared to the middle sections. Furthermore, considering the sensor size and detection range, the sensor spacing is 10m at the entrance and exit sections, and 5m in the middle sections. The sensor can be installed using adhesive to secure it to its precise location.

[0059] In the tunnel lighting control system considering the degree of contamination of tunnel sidewalls as disclosed in the second aspect, the illuminance sensor is an illuminance sensor using a photodiode as the photosensitive element. When light shines on the photodiode, the energy of the photons is absorbed by the semiconductor material; the light energy excites electrons in the semiconductor, causing them to jump to the conduction band, and simultaneously creating a hole in the atomic structure; the excited electrons and holes begin to move in the semiconductor, resulting in the flow of current, which is the output signal of the photodiode; these output signals enter the sensor's processor system, thereby outputting the required binary signal, and then the binary signals of different sensors are transmitted to the data recording and analysis system through a wireless communication module. Similarly, the data recording and analysis system centrally processes and makes decisions on the data from different sensors. The power supply of the sensor can be considered by connecting the sensor to the tunnel's power supply.

[0060] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewalls as disclosed in the second aspect, the illuminance sensor is located on the tunnel sidewall, and the illuminance sensor and the tunnel lighting fixtures are located in the same vertical plane, with the installation spacing of the illuminance sensor consistent with the spacing of the tunnel lighting fixtures.

[0061] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewall as disclosed in the second aspect, the illuminance sensor is installed at a position greater than 3m above the bottom of the tunnel sidewall.

[0062] The illuminance sensor needs to be installed on the tunnel sidewall. Considering the location of the lighting fixtures inside the tunnel, the illuminance sensor is installed on the same vertical plane as the lighting fixtures, with the same spacing as the tunnel lighting fixtures, which allows for more accurate measurement of the illuminance level inside the tunnel. Considering the different eye levels of drivers in different vehicle models, and to avoid the impact of accidents, the illuminance sensor is installed 4 meters above the bottom of the tunnel sidewall. Adhesive can be used to fix the sensor in the precise position.

[0063] In the tunnel lighting control system considering the degree of tunnel sidewall contamination disclosed in the second aspect, the central controller includes an LED dimming controller capable of adjusting the brightness and color of the lighting fixtures between different spectra. In this invention, the LED dimming controller refers to the dimming controller within a dimmable white LED light group. In the prior art, high sidewall contamination can cause a problem of spectral uniformity; the dimming controller within the dimmable white LED light group can achieve a smooth transition between different spectra by adjusting the brightness and color of the light source.

[0064] Beneficial effects: In the tunnel lighting control method and system of the present invention that takes into account the degree of contamination of tunnel sidewalls, the degree of contamination of tunnel sidewalls is monitored in real time by analyzing the concentration of pollutants and the illuminance level in the tunnel, and the lighting fixtures in the tunnel are controlled based on the degree of contamination of tunnel sidewalls obtained by real-time monitoring, thereby ensuring driving safety and energy saving in the tunnel.

[0065] The present invention discloses in detail, with reference to the embodiments shown in the accompanying drawings and the reference numerals, a tunnel lighting control method and system that takes into account the degree of contamination of the tunnel sidewalls. Attached Figure Description

[0066] Figure 1 A flowchart illustrating the steps of the tunnel lighting control method of the present invention, which takes into account the degree of contamination of the tunnel sidewalls, is shown.

[0067] Figure 2 A diagram showing the angular relationship between the lamp and the illuminance sensor in this invention is provided. Detailed Implementation

[0068] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0069] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0070] The main pollutants inside the tunnel include:

[0071] (1) Exhaust emissions: Vehicles generate exhaust emissions when running in tunnels, including carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NOx) and particulate matter (PM).

[0072] (2) Suspended particulate matter: Vehicle emissions in the tunnel will generate suspended particulate matter, such as dust, smoke and fine particulate matter, which can accumulate in the tunnel;

[0073] (3) Volatile organic compounds (VOCs): Volatile organic compounds may be generated when vehicles are running. These compounds can have a negative impact on air quality and may also participate in photochemical reactions to form ozone and other pollutants.

[0074] (4) Fuel leak: In some cases, fuel leaks may occur in vehicles inside tunnels, which can produce harmful substances and increase the risk of fire.

[0075] Pollutants within tunnels can contaminate the tunnel sidewalls, typically manifesting as discoloration, deposit accumulation, and corrosion. The main types of contamination affecting tunnel sidewalls include:

[0076] (1) Exhaust gas emissions: Particulate matter and harmful gases in exhaust gas may react chemically with the surface of the tunnel sidewall, resulting in color changes, stains and deposits;

[0077] (2) Asphalt and colloidal particles: In some cases, the tunnel sidewalls may become stained due to spills of asphalt or other materials, which may interact with other contaminants and exacerbate the staining problem;

[0078] (3) Sewage and humidity: Moisture inside the tunnel may cause pollutants on the tunnel sidewalls to dissolve and adhere to the surface, forming stains and watermarks;

[0079] (4) Grease and lubricant: Vehicles may leak grease or lubricant, which may adhere to the tunnel sidewalls and interact with other contaminants, causing contamination;

[0080] (5) Fuel leaks: Fuel leaks can cause oil stains, which may interact with surfaces and cause contamination problems.

[0081] Sidewall fouling causes changes in sidewall reflectivity primarily in the following ways:

[0082] (1) Reduced light reflectivity: Contaminants on tunnel sidewalls can cause color changes and stain buildup on the surface, reducing the light reflectivity of the sidewall surface. This means that when the lighting system shines light onto the sidewalls, less light is reflected back, thus reducing the overall lighting level. This can lead to decreased visibility inside the tunnel and increase visual difficulties for drivers;

[0083] (2) Increased shadows and visual clutter: Stains can cause uneven reflections on the sidewall surfaces, creating shadows and irregular reflection patterns;

[0084] (3) Impedes night driving: Especially at night or in low light conditions, smudges on the tunnel sidewalls may reduce night vision, making it more difficult for drivers to see the road surface and the surrounding environment.

[0085] (4) Increased diffuse reflection: When the sidewalls are heavily contaminated, light will be diffusely reflected instead of directly reflected. Diffuse reflection will scatter light in different directions, resulting in light loss and uneven distribution, which will reduce the uniformity of lighting in the tunnel.

[0086] To address the aforementioned situation and existing problems, this invention provides a tunnel lighting control method and system that considers the degree of contamination of tunnel sidewalls. By analyzing the concentration of pollutants and the illuminance level within the tunnel, the method monitors the degree of contamination of the tunnel sidewalls in real time and controls the lighting fixtures within the tunnel based on the real-time monitoring results, thereby ensuring driving safety and energy conservation within the tunnel.

[0087] Figure 1 A flowchart illustrating the steps of the tunnel lighting control method of the present invention, which takes into account the degree of contamination of the tunnel sidewalls, is shown.

[0088] Referring to Figure 1, the first aspect of the present invention discloses a tunnel lighting control method considering the degree of contamination of the tunnel sidewalls, comprising the following steps:

[0089] S1, acquire pollutant concentration data inside the tunnel based on sensors;

[0090] S2, Determine the tunnel sidewall cleaning coefficient based on the light intensity data measured by the illuminance sensor;

[0091] S3, determine the current level of contamination of the tunnel sidewall based on the obtained pollutant concentration data and the tunnel sidewall cleanliness coefficient;

[0092] S4. Adjust the lighting fixtures in the tunnel according to the current level of contamination of the tunnel sidewall obtained in step S3.

[0093] Step S2 includes:

[0094] Step S21: Install multiple illuminance sensors in the tunnel to collect light intensity data, and define each illuminance sensor as an illuminance sensing unit.

[0095] Step S22: Determine the light intensity value i of each illuminance sensing unit using the light intensity data collected by the illuminance sensor. pb ;

[0096] Step S23, based on the following formula (1), the tunnel sidewall cleaning coefficient M based on each illuminance sensing unit is obtained:

[0097]

[0098] In the formula: I pb E represents the luminous intensity value of p luminaires in the direction normal to the b-th illuminance sensing unit; ub Let p be the horizontal illuminance produced by p luminaires on the b-th illuminance sensing unit; ρ be the diffuse reflection coefficient of the tunnel sidewall; S be the area of ​​the illuminance sensing unit; C be the luminaire cleanliness coefficient; n be the number of luminaires; I(c ab γ ab Let c be the luminous intensity value of the a-th luminaire at the b-th illuminance sensing unit, where c ab It is the angle between the line connecting the calculation points of the lighting fixtures and the road surface projection and the tunnel extension direction, γ. ab β is the angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; ab θ is the incident angle of the light from luminaire a corresponding to unit b; ab H is the angle between the line connecting the center of luminaire a and the center of illuminance sensing unit b and the direction of the normal; ab is the vertical distance between the center point of the a-th luminaire and the b-th illuminance sensing unit; M is the tunnel sidewall cleaning coefficient based on each b-th illuminance sensing unit;

[0099] Step S24: Take the average value of all tunnel sidewall cleaning coefficients based on each illuminance sensing unit as the final tunnel sidewall cleaning coefficient M. 均值 .

[0100] Specifically, formula (1) in step S23 above is obtained in the following way:

[0101] Treating each illuminance sensor as an illuminance sensing unit, and considering that the material used for the tunnel sidewall is usually diffuse reflective, the illuminance value formula (2) based on the illuminance sensing unit can be determined:

[0102]

[0103] Among them, E ab Let lx be the illuminance value generated by the a-th luminaire at the b-th illuminance sensing unit; I(c ab γ abLet be the luminous intensity value of the a-th luminaire at unit b, and let cd be the value taken from the luminous intensity table, where c ab The angle γ between the line connecting the lamp calculation points and the road surface projection and the tunnel extension direction. ab β is the angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; ab Let θ be the incident angle of the light from the a-th luminaire at unit b (°); ab H is the angle between the line connecting the center of luminaire a and unit b and the direction of the normal, (°); ab Let be the vertical distance, in meters, between the center point of luminaire a and the center point of unit b.

[0104] Based on the calculation of the illuminance value, the horizontal illuminance generated by the luminaire on the illuminance sensing unit can be obtained, specifically by the following formula (3):

[0105]

[0106] Where E ub Let (lx) be the horizontal illuminance generated by p luminaires on the b-th illuminance sensing unit; n is the number of luminaires.

[0107] Furthermore, the formula for the luminous intensity value of p lamps in the direction normal to the b illuminance unit is:

[0108]

[0109] Substituting formulas (2) and (3) into formula (4), we obtain formula (1):

[0110]

[0111] In the formula: I pb E represents the luminous intensity value of p luminaires in the direction normal to the b-th illuminance sensing unit; ub Let p be the horizontal illuminance produced by p luminaires on the b-th illuminance sensing unit; ρ be the diffuse reflection coefficient of the tunnel sidewall; S be the area of ​​the illuminance sensing unit; C be the luminaire cleanliness coefficient; n be the number of luminaires; I(c ab γ ab Let c be the luminous intensity value of the a-th luminaire at the b-th illuminance sensing unit, where c ab It is the angle between the line connecting the calculation points of the lighting fixtures and the road surface projection and the tunnel extension direction, γ. ab β is the angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; ab θ is the incident angle of the light from luminaire a corresponding to unit b; ab H is the angle between the line connecting the center of luminaire a and the center of illuminance sensing unit b and the direction of the normal; abdenoted as , where is the vertical distance between the center point of the a-th luminaire and the b-th illuminance sensing unit; M is the tunnel sidewall cleaning coefficient based on each b-th illuminance sensing unit.

[0112] Among them, light intensity value I pb It can be obtained through the light intensity data I collected by the illuminance sensor, that is, I = I pb Therefore, the tunnel sidewall cleanliness coefficient can be calculated based on the above formula (1).

[0113] That is, in this invention, the tunnel sidewall cleanliness coefficient is set to be related to the light intensity values ​​of p luminaires within the light source sensing range S of the illuminance sensing unit in the normal direction of the corresponding illuminance sensing unit. This correlation is reflected by the above formula (1). In this invention, the tunnel sidewall cleanliness coefficient changes in real time according to the conditions inside the tunnel. When the light intensity values ​​of p luminaires within the light source sensing range of the illuminance sensing unit change in the normal direction of the illuminance sensing unit, the corresponding tunnel sidewall cleanliness coefficient will also change.

[0114] In the implementation of the control method of the first aspect of the present invention, steps S1 and S2 can be performed in different orders or simultaneously. The above formula (1) is pre-stored or input into a related hardware data processing system (such as the data recording and analysis device disclosed in the second aspect of the present invention below), which can calculate the current tunnel sidewall cleanliness coefficient based on the light intensity data sensed by the illuminance sensing unit, and then determine the current tunnel contamination level based on the currently known pollutant concentration data and the tunnel sidewall cleanliness coefficient. When the central control device learns the current contamination level of the tunnel sidewall, it will adjust the lighting fixtures in the tunnel according to the currently determined contamination level.

[0115] In the control method of the present invention, step S3 includes:

[0116] Step S31: Determine the initial cleaning coefficient M0 of the tunnel sidewall based on the tunnel sidewall interior material;

[0117] Step S32: Determine the air quality index based on the pollutant concentration data obtained in step S1;

[0118] Step S33, based on the air quality index in step S32, and based on the tunnel sidewall cleanliness coefficient M 均值 The difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the current level of contamination of the tunnel sidewall is used to determine the current level of contamination of the tunnel sidewall.

[0119] Specifically, in step S33:

[0120] When 0 ≤ Air Quality Index < 50, the tunnel sidewall cleanliness coefficient M 均值When the difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the initial cleanliness coefficient is less than 0.1, the level of contamination is Level 1.

[0121] When 50 ≤ Air Quality Index < 100, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.1 and less than 0.2, the contamination level is Grade II.

[0122] When 100 ≤ Air Quality Index < 200, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.2 and less than 0.3, the contamination level is three.

[0123] When the air quality index is ≥200, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the initial cleanliness coefficient is greater than or equal to 0.3 and less than or equal to 0.4, the level of contamination is level four.

[0124] According to the tunnel lighting control method considering the degree of contamination of tunnel sidewalls disclosed in the first aspect of the present invention, the pollutant concentration data is obtained based on the monitoring of gaseous pollutants in the tunnel by sensors.

[0125] The pollutants inside the tunnel are mainly vehicle exhaust and some particulate matter. The concentration of pollutants is monitored in real time by placing gas or particulate matter sensors inside the tunnel.

[0126] A second aspect of the present invention also discloses a tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewalls, comprising:

[0127] Multiple sensors are installed inside the tunnel to monitor the concentration of pollutants and obtain pollutant concentration data.

[0128] Illuminance sensors, multiple of which are installed inside the tunnel, are used to collect light intensity data to monitor the illuminance level inside the tunnel.

[0129] A data recording and analysis device is used to receive pollutant concentration data transmitted from sensors and light intensity data measured by an illuminance sensor, so as to determine the tunnel sidewall cleanliness coefficient based on the light intensity data measured by the illuminance sensor.

[0130] The central control unit is used to determine the current level of contamination of the tunnel sidewall based on the acquired pollutant concentration data and the tunnel sidewall cleanliness coefficient, and to adjust the lighting fixtures in the tunnel according to the corresponding determined level of contamination.

[0131] Each illuminance sensor is defined as an illuminance sensing unit. The data recording and analysis device determines the tunnel sidewall cleanliness coefficient based on the light intensity data measured by the illuminance sensor according to the following formula (1):

[0132]

[0133] In the formula: I pb E represents the luminous intensity value of p luminaires in the direction normal to the b-th illuminance sensing unit; ub Let p be the horizontal illuminance produced by p luminaires on the b-th illuminance sensing unit; ρ be the diffuse reflection coefficient of the tunnel sidewall; S be the area of ​​the illuminance sensing unit; C be the luminaire cleanliness coefficient; n be the number of luminaires; I(c ab γ ab Let c be the luminous intensity value of the a-th luminaire at the b-th illuminance sensing unit, where c ab It is the angle between the line connecting the calculation points of the lighting fixtures and the road surface projection and the tunnel extension direction, γ. ab β is the angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; ab θ is the incident angle of the light from luminaire a corresponding to unit b; ab H is the angle between the line connecting the center of luminaire a and the center of illuminance sensing unit b and the direction of the normal; ab is the vertical distance between the center point of the a-th luminaire and the b-th illuminance sensing unit; M is the tunnel sidewall cleaning coefficient based on each b-th illuminance sensing unit;

[0134] Furthermore, the data recording and analysis device can take the average of all tunnel sidewall cleaning coefficients based on each illuminance sensing unit as the final tunnel sidewall cleaning coefficient M. 均值 .

[0135] Furthermore, in the control system disclosed in the second aspect of the present invention, the scheme by which the central control device determines the current level of contamination of the tunnel sidewall based on the acquired pollutant concentration data and the tunnel sidewall cleanliness coefficient includes the following steps:

[0136] The air quality index is determined based on the obtained pollutant concentration data;

[0137] Based on the air quality index and the tunnel sidewall cleanliness factor M 均值 The difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the current level of contamination of the tunnel sidewall is used to determine the current level of contamination of the tunnel sidewall.

[0138] Specifically, when 0 ≤ Air Quality Index < 50, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is less than 0.1, the contamination level is Grade 1; when 50 ≤ Air Quality Index < 100, the tunnel sidewall cleanliness coefficient M0 is... 均值When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient M0 of the tunnel sidewall is greater than or equal to 0.1 and less than 0.2, the contamination level is Grade II; when 100 ≤ Air Quality Index < 200, the tunnel sidewall cleanliness coefficient M0 is... 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient M0 of the tunnel sidewall is greater than or equal to 0.2 and less than 0.3, the contamination level is grade three; when the air quality index is ≥200, the initial cleanliness coefficient M0 of the tunnel sidewall is... 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.3 and less than or equal to 0.4, the pollution level is classified as Level 4. The Air Quality Index (API) is an abbreviation for Air Pollution Index.

[0139] In the control system disclosed in the second aspect of the present invention, each sensor and each illuminance sensor is connected to a data recording and analysis device. The data recording and analysis device is capable of receiving signals and / or data transmitted from the gas sensor and the illuminance sensor, and analyzing the received signals and / or data, for example, determining the tunnel sidewall cleanliness coefficient based on formula (1) and the light intensity data measured by the illuminance sensor. The central control device can be implemented by integrating a device with a CPU processor, which is capable of connecting to the data recording and analysis device to determine the current contamination level of the tunnel sidewall based on the acquired contaminant concentration data and the tunnel sidewall cleanliness coefficient, and then adjusting the lighting fixtures in the tunnel according to the corresponding determined contamination level.

[0140] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewalls as disclosed in the second aspect, the contaminant concentration data is gaseous contaminant concentration data, and the sensor is a semiconductor gas sensor for monitoring the concentration of gaseous contaminants in the tunnel.

[0141] The semiconductor gas sensor of this invention consists of four parts: a sensing element, a conversion element, a conversion circuit, and an auxiliary power supply. The sensing element directly senses the measured gas and outputs a physical quantity signal that has a definite relationship with the measured gas; tin dioxide (SnO2), which has low conductivity, can be used. The conversion element converts the physical quantity output by the sensing element into an electrical signal. The conversion circuit amplifies and converts the electrical signal output by the conversion element. The auxiliary power supply, or power supply, mainly powers the conversion element and the conversion circuit. The sensor's power supply could be connected to a power source within the tunnel.

[0142] In the tunnel lighting control system considering the degree of contamination of tunnel sidewalls disclosed in the second aspect, the semiconductor gas sensor is integrated into a pollutant monitoring terminal. The pollutant monitoring terminal also includes an A / D converter, a microcontroller processing module, and a wireless communication module. The semiconductor gas sensor converts the collected gas signal into an analog electrical signal, the A / D converter converts the analog electrical signal into a digital electrical signal, the microcontroller processing module processes the digital electrical signal into pollutant concentration data, and then transmits the pollutant concentration data to a data recording and analysis device via the wireless communication module. The data recording and analysis device then centrally processes and makes decisions based on the data from different sensors, enabling the classification of pollutant concentrations.

[0143] In this invention, defining the layout and location of the sensors is crucial. The sensors need to be placed in locations that can provide accurate and representative data, which typically requires consideration of factors such as airflow, traffic flow, and pollutant diffusion paths within the tunnel. The sensors also need to be distributed in multiple locations to obtain comprehensive monitoring; therefore, installation on the tunnel sidewalls can be considered.

[0144] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewall as disclosed in the second aspect, the sensor is installed at a position more than one meter above the bottom of the tunnel sidewall; the installation spacing of the sensor in the tunnel entrance section and the tunnel exit section is 8-12m, and the installation spacing in the middle section of the tunnel is 4-6m.

[0145] Preferably, the sensor is installed in a location that is easily accessible and maintainable, allowing personnel to safely perform installation and maintenance. Considering that most pollutants in tunnels originate from vehicle exhaust emissions, the sensor is installed 1.2m above the bottom of the sidewall. Since this patent is designed for use in extra-long tunnels, the entrance and exit sections are in contact with the external environment, resulting in lower pollutant concentrations compared to the middle sections. Furthermore, considering the sensor size and detection range, the sensor spacing is 10m at the entrance and exit sections, and 5m in the middle sections. The sensor can be installed using adhesive to secure it to its precise location.

[0146] In the tunnel lighting control system considering the degree of contamination of tunnel sidewalls as disclosed in the second aspect, the illuminance sensor is an illuminance sensor using a photodiode as the photosensitive element. When light shines on the photodiode, the energy of the photons is absorbed by the semiconductor material; the light energy excites electrons in the semiconductor, causing them to jump to the conduction band, and simultaneously creating a hole in the atomic structure; the excited electrons and holes begin to move in the semiconductor, resulting in the flow of current, which is the output signal of the photodiode; these output signals enter the sensor's processor system, thereby outputting the required binary signal, and then the binary signals of different sensors are transmitted to the data recording and analysis system through a wireless communication module. Similarly, the data recording and analysis system centrally processes and makes decisions on the data from different sensors. The power supply of the sensor can be considered by connecting the sensor to the tunnel's power supply.

[0147] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewalls as disclosed in the second aspect, the illuminance sensor is located on the tunnel sidewall, and the illuminance sensor and the tunnel lighting fixtures are located in the same vertical plane, with the installation spacing of the illuminance sensor consistent with the spacing of the tunnel lighting fixtures.

[0148] In the tunnel lighting control system that takes into account the degree of contamination of the tunnel sidewall as disclosed in the second aspect, the illuminance sensor is installed at a position greater than 3m above the bottom of the tunnel sidewall.

[0149] The illuminance sensor needs to be installed on the tunnel sidewall. Considering the location of the lighting fixtures inside the tunnel, the illuminance sensor is installed on the same vertical plane as the lighting fixtures, with the same spacing as the tunnel lighting fixtures, which allows for more accurate measurement of the illuminance level inside the tunnel. Considering the different eye levels of drivers in different vehicle models, and to avoid the impact of accidents, the illuminance sensor is installed 4 meters above the bottom of the tunnel sidewall. Adhesive can be used to fix the sensor in the precise position.

[0150] In the tunnel lighting control system considering the degree of tunnel sidewall contamination disclosed in the second aspect, the central controller includes an LED dimming controller capable of adjusting the brightness and color of the lighting fixtures between different spectra. In this invention, the LED dimming controller refers to the dimming controller within a dimmable white LED light group. In the prior art, high sidewall contamination can cause a problem of spectral uniformity; the dimming controller within the dimmable white LED light group can achieve a smooth transition between different spectra by adjusting the brightness and color of the light source.

[0151] The present invention also discloses an electronic device comprising a memory and a processor, the memory for storing a computer program, the processor for running the computer program to cause the electronic device to perform the tunnel lighting control method considering the degree of tunnel sidewall contamination disclosed in the first aspect of the present invention.

[0152] The present invention also discloses a readable storage medium storing computer program instructions, which, when read and executed by a processor, perform the tunnel lighting control method considering the degree of contamination of tunnel sidewalls disclosed in the first aspect of the present invention.

[0153] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0154] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0155] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0156] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0157] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0158] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A tunnel lighting control method considering the degree of contamination of tunnel sidewalls, characterized in that, Includes the following steps: S1, acquire pollutant concentration data inside the tunnel based on sensors; S2, Determine the tunnel sidewall cleaning coefficient based on the light intensity data measured by the illuminance sensor; S3, determine the current level of contamination of the tunnel sidewall based on the obtained pollutant concentration data and the tunnel sidewall cleanliness coefficient; S4, Adjust the lighting fixtures in the tunnel according to the current level of contamination of the tunnel sidewall obtained in step S3; Step S2 includes: Step S21: Install multiple illuminance sensors in the tunnel to collect light intensity data, and define each illuminance sensor as an illuminance sensing unit. Step S22: Determine the light intensity value of each illuminance sensing unit using the light intensity data collected by the illuminance sensor. ; Step S23: Based on the following formula, the tunnel sidewall cleanliness coefficient M for each illuminance sensing unit is obtained: In the formula: Let p be the luminous intensity values ​​of the luminaires in the direction normal to the b-th illuminance sensing unit; Let p be the horizontal illuminance generated by p luminaires on the b-th illuminance sensing unit; denoted as the tunnel sidewall diffuse reflection coefficient; S is the area of ​​the illuminance sensing unit; C is the luminaire cleanliness coefficient; and n is the number of luminaires. Let be the luminous intensity value of the a-th luminaire at the b-th illuminance sensing unit, where It is the angle between the line connecting the calculation points of the lighting fixtures and the road surface projection and the tunnel extension direction. The angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; Let be the incident angle of the light from luminaire a corresponding to unit b; Let be the angle between the line connecting the center of the a-th luminaire and the center of the b-th illuminance sensing unit and the direction of the normal; is the vertical distance between the center point of the a-th luminaire and the b-th illuminance sensing unit; M is the tunnel sidewall cleaning coefficient based on each b-th illuminance sensing unit; The luminous flux of the lamp; Step S24: Take the average value of all tunnel sidewall cleaning coefficients based on each illuminance sensing unit as the final tunnel sidewall cleaning coefficient M. 均值 .

2. The tunnel lighting control method considering the degree of contamination of tunnel sidewalls according to claim 1, characterized in that, The pollutant concentration data was obtained by monitoring gaseous pollutants in the tunnel using sensors.

3. The tunnel lighting control method considering the degree of contamination of tunnel sidewalls according to claim 1, characterized in that, Step S3 includes: Step S31: Determine the initial cleaning coefficient M0 of the tunnel sidewall based on the tunnel sidewall interior material; Step S32: Determine the air quality index based on the pollutant concentration data obtained in step S1; Step S33, based on the air quality index in step S32, and based on the tunnel sidewall cleanliness coefficient M 均值 The difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the current level of contamination of the tunnel sidewall is used to determine the current level of contamination of the tunnel sidewall.

4. The tunnel lighting control method considering the degree of contamination of tunnel sidewalls according to claim 3, characterized in that, In step S33: When 0 ≤ Air Quality Index < 50, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the initial cleanliness coefficient is less than 0.1, the level of contamination is Level 1. When 50 ≤ Air Quality Index < 100, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.1 and less than 0.2, the contamination level is Grade II. When 100 ≤ Air Quality Index < 200, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 and the initial cleanliness coefficient of the tunnel sidewall is greater than or equal to 0.2 and less than 0.3, the contamination level is three. When the air quality index is ≥200, the tunnel sidewall cleanliness coefficient M 均值 When the difference between the initial cleanliness coefficient M0 of the tunnel sidewall and the initial cleanliness coefficient is greater than or equal to 0.3 and less than or equal to 0.4, the level of contamination is level four.

5. A tunnel lighting control system that takes into account the degree of contamination of tunnel sidewalls, characterized in that, include: Multiple sensors are installed inside the tunnel to monitor the concentration of pollutants and obtain pollutant concentration data. Illuminance sensors, multiple of which are installed inside the tunnel, are used to collect light intensity data to monitor the illuminance level inside the tunnel. A data recording and analysis device is used to receive pollutant concentration data transmitted from sensors and light intensity data measured by an illuminance sensor, so as to determine the tunnel sidewall cleanliness coefficient based on the light intensity data measured by the illuminance sensor. The central control unit is used to determine the current level of contamination of the tunnel sidewall based on the acquired pollutant concentration data and the tunnel sidewall cleanliness coefficient, and to adjust the lighting fixtures in the tunnel according to the corresponding determined level of contamination. Each illuminance sensor is defined as an illuminance sensing unit. The data recording and analysis device determines the tunnel sidewall cleanliness coefficient based on each illuminance sensing unit according to the following formula and based on the light intensity data measured by the illuminance sensor: In the formula: Let p be the luminous intensity values ​​of the luminaires in the direction normal to the b-th illuminance sensing unit; Let p be the horizontal illuminance generated by p luminaires on the b-th illuminance sensing unit; denoted as the tunnel sidewall diffuse reflection coefficient; S is the area of ​​the illuminance sensing unit; C is the luminaire cleanliness coefficient; and n is the number of luminaires. Let be the luminous intensity value of the a-th luminaire at the b-th illuminance sensing unit, where It is the angle between the line connecting the calculation points of the lighting fixtures and the road surface projection and the tunnel extension direction. The angle between the line connecting the calculation points of the luminaire and the ground alignment line of the luminaire; Let be the incident angle of the light from luminaire a corresponding to unit b; Let be the angle between the line connecting the center of the a-th luminaire and the center of the b-th illuminance sensing unit and the direction of the normal; is the vertical distance between the center point of the a-th luminaire and the b-th illuminance sensing unit; M is the tunnel sidewall cleaning coefficient based on each b-th illuminance sensing unit; The luminous flux of the lamp; Furthermore, the data recording and analysis device can take the average of all tunnel sidewall cleaning coefficients based on each illuminance sensing unit as the final tunnel sidewall cleaning coefficient M. 均值 .

6. The tunnel lighting control system considering the degree of contamination of tunnel sidewalls according to claim 5, characterized in that, The pollutant concentration data is gaseous pollutant concentration data, and the sensor is a semiconductor gas sensor used to monitor the concentration of gaseous pollutants in the tunnel.

7. The tunnel lighting control system considering the degree of contamination of tunnel sidewalls according to claim 6, characterized in that, The semiconductor gas sensor is integrated into the pollutant monitoring terminal, which also includes an A / D converter, a microcontroller processing module, and a wireless communication module. The semiconductor gas sensor converts the collected gas signals into analog electrical signals, the A / D converter converts the analog electrical signals into digital electrical signals, the microcontroller processing module processes the digital electrical signals into pollutant concentration data, and then transmits the pollutant concentration data to the data recording and analysis device through the wireless communication module.

8. The tunnel lighting control system considering the degree of contamination of tunnel sidewalls according to claim 7, characterized in that, The sensor is installed at a position more than one meter above the bottom of the tunnel sidewall; The sensors are installed at a spacing of 8-12m at the tunnel entrance and exit sections, and at a spacing of 4-6m in the middle section of the tunnel.

9. The tunnel lighting control system considering the degree of contamination of tunnel sidewalls according to claim 5, characterized in that, The illuminance sensor uses a photodiode as a photosensitive element. The illuminance sensor is installed on the tunnel sidewall. The illuminance sensor and the tunnel lighting fixtures are located in the same vertical plane, and the installation spacing of the illuminance sensor is consistent with the spacing of the tunnel lighting fixtures. The illuminance sensor is installed at a height of more than 3m above the bottom of the tunnel sidewall.

10. The tunnel lighting control system considering the degree of contamination of tunnel sidewalls according to claim 5, characterized in that, The central control unit includes an LED dimming controller, which is capable of adjusting the brightness and color of the lighting fixtures between different spectra.

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