Intelligent light dimming system for traffic signal based on illumination and temperature sensing

Abstract

The application discloses a traffic signal lamp intelligent dimming system based on illumination and temperature sensing, and relates to the technical field of signal lamp dimming. The system comprises a setting module, an illumination sensing module and a temperature sensing module, illumination intensity data is obtained based on the illumination sensing module, illumination information items are obtained, temperature data is obtained based on the temperature sensing module, and temperature information items are obtained; a storage module creates a first brightness contrast library and a second brightness contrast library based on the data acquisition mode. The application generates a dynamic brightness interval through the analysis results of the double contrast libraries, intelligently intercepts the comprehensive brightness range according to the interactive state, synchronously introduces a time-frequency collaborative mechanism, maps the illumination / temperature level into a flicker frequency, binds the frequency with the determination time item, finally forms a brightness-frequency-time three-dimensional regulation and control cycle, and enhances the signal visibility through the dynamic brightness contrast.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal light dimming, in particular to a traffic signal light intelligent dimming system based on light and temperature sensing. BACKGROUND

[0002] Traffic signal light intelligent dimming is a technology that uses sensors, control algorithms and communication technology to automatically and real-time dynamically adjust the brightness of signal light sources according to environmental light conditions such as day, night, dusk, dawn, overcast, foggy, etc. The core goal is to achieve efficient use of energy while ensuring clear visibility and traffic safety of the signal light. Traditional signal lights, especially early incandescent lamps or fixed brightness LED lamps, usually set a relatively high fixed brightness to ensure clear visibility even in the most severe daytime light conditions. This high brightness is too bright in the dark environment such as night, dusk, dawn or overcast, and even dazzling, resulting in a large amount of unnecessary energy consumption. Therefore, intelligent dimming of the light is needed.

[0003] The traffic signal light of patent publication No. CN105575145A is improved on the basis of the existing traffic signal light, and adds a visibility test module and a dimming module. In order to ensure the light intensity of the traffic light, super high brightness diodes are used for the light emitting diodes, and the diodes are distributed in high density on the lamp panel. Different numbers and positions of light emitting diodes are lit under different conditions. The structure of the original signal light is improved to enhance the heat dissipation capacity and ensure the normal work of the high-density distributed lamp tubes. The visibility tester is placed at the cantilever of the signal light, and the receiver is along the road direction, and a lengthened step lens hood is used to improve the accuracy of the visibility signal. After sensing the visibility of the surrounding air, the light intensity of the signal light is automatically adjusted, so that pedestrians and vehicle drivers can clearly know the accurate traffic signal, and can safely travel even in foggy weather.

[0004] The above and similar technical solutions in the dimming process of signal light, etc. The existing traffic signal light dimming algorithm relies on the interaction of many sensors, and relies on the fusion calculation of the data captured by different sensors to determine the final adjustment result. In the case of complex environment, the data captured by the sensor is much and miscellaneous. At this time, according to the fusion algorithm, the data is calculated, which may lead to the final calculation result not being the optimal solution under the current complex environment, and further lead to the problem of inconsistent perception of traffic signal light by the driver, which may lead to insufficient contrast adjustment of the traffic signal light. SUMMARY

[0005] The present application aims to provide a traffic signal light intelligent dimming system based on light and temperature sensing to solve the problems raised in the background art.

[0006] To achieve the above object, the present application provides the following technical solutions: a traffic signal lamp intelligent dimming system based on illumination and temperature sensing, comprising:

[0007] The setting module sets the illumination sensing module and the temperature sensing module, obtains illumination intensity data based on the illumination sensing module to obtain illumination information items, and obtains temperature data based on the temperature sensing module to obtain temperature information items;

[0008] The storage module creates a first brightness reference library and a second brightness reference library based on the data acquisition method, wherein the first brightness reference library stores the best reference data of the illumination intensity data and the light brightness, and the second brightness reference library stores the best reference data of the temperature data and the light brightness;

[0009] The analysis module extends the comparison relationship between the illumination information items and the temperature information items and the first brightness reference library and the second brightness reference library respectively to obtain a first brightness range and a second brightness range, obtains comprehensive brightness data of the first brightness range and the second brightness range, and obtains a comprehensive brightness range;

[0010] The extension module performs state extension on the first brightness reference library and the second brightness reference library, and the state extension includes light flicker frequency to obtain a state reference item, and a cycle time is set to obtain a determination time item;

[0011] The dimming module takes the determination time item as a time cycle, takes the comprehensive brightness range as a brightness cycle, and takes the state reference item as a flicker frequency cycle to perform combined cycle adjustment of the signal lamp brightness, combines the illumination and the temperature, independently calculates the illumination and the temperature, and takes the independent calculation result as a combined display, thereby providing sufficient contrast adjustment for the adjustment of the traffic signal lamp in a complex environment.

[0012] Further, the illumination sensing module includes a quantum dot spectrum sensor, and the method for obtaining the illumination information items includes:

[0013] At least two groups of quantum dot spectrum sensors are set, and the quantum dot spectrum sensors are labeled to obtain a sensing label item;

[0014] Based on the sensing label item, view angle information and waveband information are set, wherein the view angle information is a light field scanning view angle, and the waveband information is a light field scanning waveband;

[0015] Based on the view angle information, the sensing label item is arranged in a fixed order, the illumination intensity data average value is obtained based on the sensing label item, and then the illumination information items are obtained.

[0016] Further, the temperature sensing module comprises a non-contact thermal topology measurement assembly, and the temperature information item is obtained by: the non-contact thermal topology measurement assembly comprises a micro-wave infrared thermal image, a terahertz wave scanner, and a thin film sensing device; a target signal lamp substrate hotspot distribution is obtained based on the micro-wave infrared thermal image to obtain a first temperature item; a target signal lamp lamp shell internal air convection state is obtained based on the terahertz wave scanner to obtain a second temperature item; and a heat dissipation fin temperature gradient is obtained based on the thin film sensing device to obtain a third temperature item; and the first temperature item, the second temperature item, and the third temperature item are combined to obtain the temperature information item.

[0017] Further, the first brightness contrast library creation method comprises:

[0018] A dynamic spectrum sensing library is created, including a multi-band energy weight, a glare compensation matrix, and a human eye response model.

[0019] Based on the multi-band energy weight, at least two key bands are divided, an independent brightness mapping table is established, based on the glare compensation matrix, a glare compensation coefficient matrix under different solar elevation angles is stored, based on the human eye response model, a photopic curve function is integrated, and actual visual equivalent brightness is dynamically calculated; the data calculation storage result of the dynamic spectrum sensing library is integrated to obtain the first brightness contrast library.

[0020] Further, the second brightness contrast library creation method comprises:

[0021] A thermodynamic life model library is created, including substrate thermal resistance mapping data, light decay prediction matrix, and phase change cooling strategy.

[0022] Based on the substrate thermal resistance mapping data, the thermal resistance and brightness relationship curve of different heat dissipation materials is stored, based on the light decay prediction matrix, a temperature, working time, and brightness decay three-dimensional lookup table is established, and based on the phase change cooling strategy, the latent heat absorption efficiency of the phase change material at different temperatures is recorded; the substrate thermal resistance mapping data, the light decay prediction matrix, and the phase change cooling strategy are integrated to obtain the second brightness contrast library.

[0023] Further, the first brightness range and the second brightness range obtaining method comprises:

[0024] Based on the comparison results of the illumination information item and the temperature information item with the first brightness contrast library and the second brightness contrast library respectively, the first brightness value and the second brightness value are obtained respectively.

[0025] An expansion threshold is set, the expansion threshold is a percentage of the increase / decrease amplitude, the first brightness range is obtained based on the combination of the expansion threshold and the first brightness value, and the second brightness range is obtained based on the combination of the expansion threshold and the second brightness value.

[0026] Further, the comprehensive brightness range obtaining method comprises:

[0027] judging the interaction data of the first luminance range and the second luminance range, when the first luminance range and the second luminance range interact, obtaining the interaction overlap range as the comprehensive luminance range;

[0028] when the first luminance range and the second luminance range do not interact, setting a cutting threshold, the cutting threshold is a fixed range value, based on the combination result of the cutting threshold and the first luminance range and the second luminance range, obtaining the first range cutting term and the second range cutting term, and combining the first range cutting term and the second range cutting term to obtain the comprehensive luminance range.

[0029] Further, the method for obtaining the determination time term comprises:

[0030] combining the first luminance reference library and the second luminance reference library to obtain the first grade term and the second grade term, and setting the grade reference time based on the first grade term and the second grade term respectively;

[0031] based on the corresponding result of the illumination information term and the temperature information term and the first grade term and the second grade term, obtaining the first determination grade and the second determination grade, and obtaining the first reference time and the second determination reference time, setting the switching time based on the first reference time and the second determination reference time, and obtaining the determination time term.

[0032] Further, the method for obtaining the state reference term comprises:

[0033] the first luminance reference library further stores the best reference data of the illumination intensity data and the light flicker frequency, and the second luminance reference library further stores the best reference data of the different temperature data and the light flicker frequency;

[0034] taking the illumination information term and the temperature information term as the reference data, respectively obtaining the light flicker frequency corresponding to the illumination information term and the light flicker frequency corresponding to the temperature information term, obtaining the first frequency term and the second frequency term, and combining the first frequency term and the second frequency term to obtain the state reference term.

[0035] Compared with the prior art, the beneficial effects of the present application are:

[0036] The intelligent light adjusting system of the traffic signal lamp based on illumination and temperature sensing, through the analysis result of the double reference libraries, generates a dynamic luminance interval through the expansion threshold, intelligently cuts the comprehensive luminance range according to the interaction state, synchronously introduces the time-frequency cooperative mechanism: maps the illumination / temperature grade into the flicker frequency, and binds it with the determination time term, and finally forms a luminance-frequency-time three-dimensional regulation cycle, which not only enhances the signal visibility through the dynamic luminance contrast, but also reduces the LED junction temperature through the temperature-driven luminance segmentation, prolongs the device life.

[0037] Meanwhile, the quantum dot spectrum sensor array combines a dynamic weight fusion algorithm, effectively filtering out sunlight, advertising glare and other interference, the sensor covers multiple bands of 380-1050nm, combined with 120° wide-angle scanning, significantly improving the accuracy of light data, at the same time, the non-contact thermal topology monitoring system integrates micron wave infrared thermal imaging, terahertz convection scanning and PT1000 film sensing, constructs a three-dimensional temperature field model, dual-module independent data acquisition, from the dual dimensions of light source spectral purity and thermodynamic state, resist environmental noise, ensure the basic data reliability of light information items and temperature information items, fundamentally solve the misjudgment problem of traditional sensors in complex scenes. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 It is the overall flowchart of the present application;

[0039] Figure 2 It is the first temperature item, the second temperature item and the third temperature item acquisition flowchart of the present application;

[0040] Figure 3 It is the first brightness range and the second brightness range acquisition flowchart of the present application;

[0041] Figure 4 It is the first brightness range and the second brightness range interaction structure schematic diagram of the present application;

[0042] Figure 5 It is the first brightness range and the second brightness range non-interaction structure schematic diagram of the present application. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of the present application.

[0044] In modern traffic management systems, the intelligent dimming technology of traffic signal lights plays a crucial role, aiming to dynamically adjust the brightness of signal lights according to changes in environmental light, to ensure that drivers can clearly and accurately identify traffic signals under various lighting conditions, thereby ensuring traffic safety and efficiency. However, the current widely used traffic signal light dimming algorithm often relies on the cooperative work of multiple sensors in complex and variable environments. These sensors are responsible for capturing information such as ambient light intensity, weather conditions, etc. The algorithm fuses the data collected by these sensors to determine the brightness adjustment scheme of the signal light. Ideally, this multi-sensor fusion approach can improve the accuracy and adaptability of dimming. However, in actual application, complex environments often bring a large amount of noise data to sensors, causing the calculation results of the fusion algorithm to deviate from the optimal solution. Specifically, the interference factors in complex environments include but are not limited to: direct sunlight, high-rise reflection, billboard glare, vehicle light interference, etc. These interference factors will cause the data captured by the sensor to become complex and inaccurate. For example, direct sunlight may cause the light sensor to be overly sensitive, while high-rise reflection may cause misjudgment of light intensity. When a large amount of such interference data flows into the fusion algorithm, the calculation results of the algorithm will be severely affected. The technical solution provided by the present application generates a dynamic brightness interval through the analysis results of the double control library, intelligently intercepts the comprehensive brightness range according to the interaction state, and synchronously introduces a time-frequency coordination mechanism: maps the light / temperature level to a flicker frequency and binds it with a judgment time item, finally forming a brightness-frequency-time three-dimensional regulation cycle, which enhances signal visibility through dynamic brightness contrast and reduces LED junction temperature through temperature-driven brightness segmentation, prolonging device life. Figure 1 As shown, it includes a setting module, a storage module, an analysis module, an expansion module, and a dimming module.

[0045] Setting module: setting light perception module and temperature perception module, obtaining light intensity data based on light perception module to obtain light information item, obtaining temperature data based on temperature perception module to obtain temperature information item.

[0046] It should be noted that the light perception module includes a quantum dot spectrum sensor, and the method for obtaining the light information item includes: setting at least two groups of quantum dot spectrum sensors, labeling the quantum dot spectrum sensors to obtain a sensing label item; based on the sensing label item, setting view angle information and waveband information, wherein the view angle information is the light field scanning view angle, and the waveband information is the light field scanning waveband; based on the view angle information, arranging the sensing label item in a fixed order, obtaining the average value of the light intensity data based on the sensing label item, and then obtaining the light information item.

[0047] In the specific implementation process, six sets of quantum dot spectral sensors are set up and labeled as No. 1 to No. 6, resulting in sensor labeling items. Viewing angle information and wavelength information are also set, with the viewing angle being 120° and the wavelength range being 380nm-1050nm. The sensor labeling items are arranged in a fixed order, forming a honeycomb-shaped microlens array. The acquisition process is as follows:

[0048] graph TB

[0049] A [Original optical signal] --> B [Lens beam splitter]

[0050] B --> C [Visible light channel]

[0051] B --> D [Near Infrared Channel]

[0052] C --> E [Polarization State Analysis]

[0053] D --> F [Spectral Energy Distribution]

[0054] E & F --> G [Dynamic Weight Fusion]

[0055] G --> H [Output light intensity Lux value + Spectral quality index SQI]

[0056] This leads to the acquisition of lighting information.

[0057] It is important to note that, such as Figure 2 As shown, the temperature sensing module includes a non-contact thermal topology measurement assembly. The method for acquiring temperature information items includes: the non-contact thermal topology measurement assembly includes a micron-wave infrared thermal imager, a terahertz wave scanner, and a thin-film sensing device; the hot spot distribution of the target signal lamp substrate is acquired based on the micron-wave infrared thermal imager to obtain a first temperature item; the air convection state inside the target signal lamp housing is acquired based on the terahertz wave scanner to obtain a second temperature item; the temperature gradient of the heat sink fins is acquired based on the thin-film sensing device to obtain a third temperature item; and the first, second, and third temperature items are combined to obtain the temperature information item.

[0058] Specifically, the spatial resolution of the micron-wave infrared thermal image is 0.5 mm², the spatial resolution of the terahertz wave scanner is 3 cm³, and the thin-film sensing device is a PT1000 thin-film sensor with a spatial resolution of ±0.1℃. The overall temperature information of the target signal light is obtained through the micron-wave infrared thermal image, the terahertz wave scanner, and the thin-film sensing device, and the temperature information item is obtained.

[0059] Storage module: Based on the data acquisition method, create a first brightness reference library and a second brightness reference library.

[0060] It should be noted that the first luminance library stores the best comparison data of light intensity data and light brightness, and the second luminance library stores the best comparison data of temperature data and light brightness.

[0061] It should be noted that the first luminance library is created by creating a dynamic spectrum perception library including multi-band energy weight, glare compensation matrix and human eye response model, dividing at least two key bands based on the multi-band energy weight, establishing an independent luminance mapping table, storing glare compensation coefficient matrix under different solar elevation angles based on the glare compensation matrix, integrating the photopic curve function based on the human eye response model, dynamically calculating the actual visual equivalent brightness, and comprehensively calculating the storage results of the data of the dynamic spectrum perception library to obtain the first luminance library.

[0062] Specifically, the multi-band energy weight divides five key bands, namely 450nm blue, 520nm green, 620nm red, 850nm IR and 940nm IR-Cut, establishes an independent luminance mapping table to solve the problem of red light penetration in fog, stores the glare compensation coefficient matrix under different solar elevation angles to eliminate strong glare interference during sunrise and sunset, and the photopic curve function includes CIE 1931 photopic curve + V(λ) function, which conforms to the physiological perception characteristics of human eyes.

[0063] It should be noted that the second luminance library is created by creating a thermodynamic life model library including substrate thermal resistance mapping data, light decay prediction matrix and phase change cooling strategy, storing the thermal resistance and luminance relationship curve of different heat dissipation materials based on the substrate thermal resistance mapping data, establishing a temperature, working time and luminance decay three-dimensional lookup table based on the light decay prediction matrix, recording the latent heat absorption efficiency of the phase change material at different temperatures based on the phase change cooling strategy, and comprehensively obtaining the second luminance library based on the substrate thermal resistance mapping data, the light decay prediction matrix and the phase change cooling strategy.

[0064] Specifically, the mathematical model of the relationship between the thermal resistance of different heat dissipation materials and the brightness is R_th(j-a) = (Tj-Ta) / P_diss, where R_th(j-a) is the thermal resistance from the junction to the environment, in units of ℃ / W, representing the efficiency of heat transfer from the LED chip to the environment, Tj is the junction temperature of the LED, which directly determines the core temperature of the device, Ta is the ambient temperature, and P_diss is the actual electrical power converted into heat energy during the operation of the LED; the mathematical model of the three-dimensional lookup table of temperature, operating time, and brightness decay is L_decay = 1 - e^(-0.0012T·t), where L_decay is the brightness decay rate, indicating the accelerated carbonization of the fluorescent powder at high temperature, t represents the cumulative operating time, 0.0012 is the default decay coefficient, T is the LED junction temperature, representing the core operating temperature of the LED chip, and the mathematical model of the latent heat absorption efficiency of the phase change material at different temperatures is Q = m·Cp·ΔT + m·α·L_fusion, where Q is the total heat absorption, α is the phase change completion degree, L_fusion is the latent heat of phase change, representing the latent heat absorbed or released per unit mass of material during phase change, m is the mass of the phase change material, Cp is the specific heat capacity, and ΔT is the temperature change range.

[0065] The analysis module: based on the comparison relationship between the illumination information item and the temperature information item and the first brightness comparison library and the second brightness comparison library, the first brightness range and the second brightness range are obtained, the comprehensive brightness data of the first brightness range and the second brightness range are obtained, and the comprehensive brightness range is obtained.

[0066] It should be noted that, as Figure 3 indicated, the method for obtaining the first brightness range and the second brightness range includes: based on the comparison results of the illumination information item and the temperature information item and the first brightness comparison library and the second brightness comparison library, the first brightness value and the second brightness value are obtained respectively; the expansion threshold is set, the expansion threshold is the percentage of the increase and decrease amplitude, the first brightness range is obtained based on the combination of the expansion threshold and the first brightness value, and the second brightness range is obtained based on the combination of the expansion threshold and the second brightness value.

[0067] Specifically, the set expansion threshold is ±5%, the first brightness value and the second brightness value are obtained based on the comparison results of the illumination information item and the temperature information item and the first brightness comparison library and the second brightness comparison library, when the first brightness value is 80% of the reference brightness and the second brightness value is 70% of the reference brightness, the first brightness range is 75%-85% and the second brightness range is 65%-75% according to the set expansion threshold.

[0068] It should be noted that, as Figures 4-5The method for obtaining the comprehensive brightness range comprises: judging the intersection data of the first brightness range and the second brightness range; when the first brightness range intersects with the second brightness range, obtaining the intersection overlapping range as the comprehensive brightness range; when the first brightness range does not intersect with the second brightness range, setting an intercept threshold, the intercept threshold being a fixed range value, obtaining a first range intercept term and a second range intercept term based on the combination result of the intercept threshold and the first brightness range and the second brightness range, and obtaining the comprehensive brightness range by combining the first range intercept term and the second range intercept term.

[0069] Specifically, when the first brightness value is 80% of the reference brightness and the second brightness value is 75% of the reference brightness, the first brightness range is 75%-85% and the second brightness range is 70%-80% according to the set expansion threshold, the first brightness range intersects with the second brightness range, the intersection overlapping range is obtained as the comprehensive brightness range, and the comprehensive brightness range is 75%-80%. Conversely, when the first brightness value is 90% of the reference brightness and the second brightness value is 60% of the reference brightness, the first brightness range is 85%-95% and the second brightness range is 55%-65% according to the set expansion threshold, the first brightness range does not intersect with the second brightness range, the intercept threshold is set, the intercept threshold is a fixed range value, which is 10%, and is equally divided to the first brightness range and the second brightness range, the first range intercept term is 80%-85% and the second range intercept term is 60%-65% based on the combination result of the intercept threshold and the first brightness range and the second brightness range, and the comprehensive brightness range is obtained.

[0070] The expansion module: state expansion is performed on the first brightness reference library and the second brightness reference library, the state expansion comprises light flicker frequency, a state reference term is obtained, and a cycle time is set to obtain a determination time term.

[0071] It should be noted that the method for obtaining the determination time term comprises: combination type grade division is performed on the first brightness reference library and the second brightness reference library to obtain a first grade term and a second grade term, grade reference times are set based on the first grade term and the second grade term; first determination grade and second determination grade are obtained based on the corresponding result of the illumination information term and the temperature information term and the first grade term and the second grade term, and first reference time and second determination reference time are obtained, switching time is set based on the first reference time and the second determination reference time, and the determination time term is obtained.

[0072] Specifically, the first brightness reference library and the second brightness reference library are combined to obtain first grade items and second grade items, wherein the first grade items are: low intensity, medium intensity, and high intensity, and the corresponding light brightness is 0-40% of the reference brightness, 40%-70% of the reference brightness, and 70%-100% of the reference brightness, respectively; the second grade items are: low temperature, medium temperature, and high temperature, and the corresponding light brightness is 0-40% of the reference brightness, 40%-70% of the reference brightness, and 70%-100% of the reference brightness, respectively; grade reference times are set based on the first grade items and the second grade items, and the grade reference times are 15s, 10s, and 5s; first determination grades and second determination grades are obtained based on the corresponding results of the light information items and the temperature information items and the first grade items and the second grade items, and first reference times and second determination reference times are obtained; a switching time is set based on the first reference times and the second determination reference times, and a determination time item is obtained; for example, in the case of medium intensity of the light intensity and low temperature of the temperature data, the corresponding first reference time and the second determination reference time are 10s and 15s, respectively, and the switching time is 25s at this time.

[0073] It should be noted that the state reference item is obtained by: the first brightness reference library further stores optimal reference data of the light intensity data and the light flicker frequency, and the second brightness reference library further stores optimal reference data of the different temperature data and the light flicker frequency; the light flicker frequency corresponding to the light information item and the light flicker frequency corresponding to the temperature information item are obtained as reference data, to obtain first frequency items and second frequency items; and the state reference item is obtained by combining the first frequency items and the second frequency items.

[0074] Specifically, the optimal reference data of the light intensity data and the light flicker frequency stored in the first brightness reference library is: the light flicker frequency corresponding to low intensity is 1Hz, the light flicker frequency corresponding to medium intensity is 1.5Hz, and the light flicker frequency corresponding to high intensity is 2Hz; the optimal reference data of the temperature data and the light flicker frequency stored in the second brightness reference library is: the light flicker frequency corresponding to low temperature is 1Hz, the light flicker frequency corresponding to medium temperature is 1.5Hz, and the light flicker frequency corresponding to high temperature is 2Hz; the light flicker frequency corresponding to the light information item and the light flicker frequency corresponding to the temperature information item are obtained, to obtain first frequency items and second frequency items; and the state reference item is obtained by combining the first frequency items and the second frequency items.

[0075] The dimming module: the determination time item is used as a time cycle, the comprehensive brightness range is used as a brightness cycle, and the state reference item is used as a flicker frequency cycle, to perform combined cycle adjustment of the signal light brightness.

[0076] It should be noted that, in combination with light and temperature, the light and temperature are independently calculated and the independent calculation results are combined to provide sufficient contrast adjustment for the adjustment of the traffic signal lamp in a complex environment.

[0077] In the specific implementation process, when the obtained first brightness range and the second brightness range are 55%-65% and 25%-35% respectively, the comprehensive range item obtained is 55%-60% and 30%-35%, the first grade item and the second grade item determined are medium intensity and low temperature respectively, under the condition of medium intensity of light intensity and low temperature of temperature data, the first comparison time and the second determination comparison time are 10s and 15s respectively, the switching time is 25s, and the first frequency item and the second frequency item are 1.5Hz and 1Hz respectively, and the average frequency is 1.25Hz, at this time, the determination time item is taken as the time cycle, 25s is a cycle, the comprehensive brightness range is taken as the brightness cycle, 55%-60% and 30%-35% are taken as the brightness cycle, the state comparison item is taken as the flicker frequency cycle, 1.25Hz is taken as the flicker frequency, and the combined cycle adjustment of the signal lamp brightness is carried out, that is, in 25s, the light intensity of 55%-60% and 30%-35% is changed at a flicker frequency of 1.25Hz, and then the light and temperature are independently calculated and the independent calculation results are combined to provide sufficient contrast adjustment for the adjustment of the traffic signal lamp in a complex environment.

[0078] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended embodiments and their equivalents.

Claims

1. An intelligent traffic signal light dimming system based on illumination and temperature sensing, comprising: a setting module: setting an illumination sensing module and a temperature sensing module, obtaining illumination intensity data based on the illumination sensing module to obtain illumination information items, and obtaining temperature data based on the temperature sensing module to obtain temperature information items; characterized in that it further comprises: a storage module: based on the data acquisition method, creating a first brightness contrast library and a second brightness contrast library, wherein the first brightness contrast library stores the best contrast data of the illumination intensity data and the light brightness, and the second brightness contrast library stores the best contrast data of the temperature data and the light brightness; an analysis module: based on the contrast relationship between the illumination information items and the temperature information items and the first brightness contrast library and the second brightness contrast library, respectively, to extend the first brightness range and the second brightness range, obtain the comprehensive brightness data of the first brightness range and the second brightness range, and obtain the comprehensive brightness range; an extension module: state extension of the first brightness contrast library and the second brightness contrast library, including light flicker frequency, to obtain state contrast items, set the cycle time to obtain the determination time item; a dimming module: using the determination time item as the time cycle, using the comprehensive brightness range as the brightness cycle, and using the state contrast item as the flicker frequency cycle, to perform combined cycle adjustment of the signal light brightness, combining illumination and temperature, independently calculating the illumination and temperature, and using the independent calculation results as the combination display, thereby providing sufficient contrast adjustment for the adjustment of traffic signal lights in complex environments; the creation method of the first brightness contrast library comprises: creating a dynamic spectrum sensing library, including multi-band energy weight, glare compensation matrix, and human eye response model; based on the multi-band energy weight, dividing at least two key bands, establishing an independent brightness mapping table, based on the glare compensation matrix, storing the glare compensation coefficient matrix under different solar elevation angles, based on the human eye response model, integrating the photopic curve function, dynamically calculating the actual visual equivalent brightness, and comprehensively calculating and storing the data of the dynamic spectrum sensing library to obtain the first brightness contrast library; the creation method of the second brightness contrast library comprises: creating a thermodynamic life model library, including substrate thermal resistance mapping data, light decay prediction matrix, and phase change cooling strategy; based on the substrate thermal resistance mapping data, storing the thermal resistance and brightness relationship curve of different heat dissipation materials, based on the light decay prediction matrix, establishing a temperature, working time, and brightness decay three-dimensional lookup table, based on the phase change cooling strategy, recording the latent heat absorption efficiency of the phase change material at different temperatures, and comprehensively obtaining the second brightness contrast library based on the substrate thermal resistance mapping data, the light decay prediction matrix, and the phase change cooling strategy.

2. The intelligent lightening system for traffic signal based on light and temperature sensing as claimed in claim 1 wherein: The illumination sensing module comprises a quantum dot spectrum sensor, and the method for obtaining the illumination information items comprises: setting at least two groups of quantum dot spectrum sensors, labeling the quantum dot spectrum sensors to obtain sensing label items; based on the sensing label items, setting the viewing angle information and the waveband information, wherein the viewing angle information is the light field scanning viewing angle, and the waveband information is the light field scanning waveband; Based on the visual angle information, the sensing label items are arranged in a fixed order, and the average value of the light intensity data is obtained based on the sensing label items, and then the light information item is obtained.

3. The intelligent light modulation system for traffic signal based on light and temperature perception as claimed in claim 1 wherein: The temperature sensing module includes a non-contact thermal topology measurement assembly, and the temperature information item is obtained by the following method: the non-contact thermal topology measurement assembly includes a micron wave infrared thermal image, a terahertz wave scanner, and a thin film sensing device; the first temperature item is obtained based on the micron wave infrared thermal image to obtain the thermal point distribution of the target signal lamp substrate; the second temperature item is obtained based on the terahertz wave scanner to obtain the air convection state inside the target signal lamp shell; the third temperature item is obtained based on the thin film sensing device to obtain the temperature gradient of the heat dissipation fin; and the temperature information item is obtained by combining the first temperature item, the second temperature item, and the third temperature item.

4. The intelligent light modulation system for traffic signal based on light and temperature perception as claimed in claim 1 wherein: The first brightness range and the second brightness range are obtained by the following method: Based on the comparison results of the light information item and the temperature information item with the first brightness comparison library and the second brightness comparison library, the first brightness value and the second brightness value are obtained respectively; An expansion threshold is set, which is a percentage value of the increase / decrease amplitude, and the first brightness range is obtained by combining the expansion threshold and the first brightness value, and the second brightness range is obtained by combining the expansion threshold and the second brightness value.

5. The intelligent lightening system for traffic signal based on light and temperature perception as claimed in claim 1 wherein: The comprehensive brightness range is obtained by the following method: When the first brightness range and the second brightness range interact, the interactive overlapping range is obtained as the comprehensive brightness range; When the first brightness range and the second brightness range do not interact, a clipping threshold is set, which is a fixed range value, and the first range clipping item and the second range clipping item are obtained based on the combination results of the clipping threshold and the first brightness range and the second brightness range, and the comprehensive brightness range is obtained by combining the first range clipping item and the second range clipping item.

6. The intelligent lightening system for traffic signal based on light and temperature perception as claimed in claim 1 wherein: The determination time item is obtained by the following method: The first brightness comparison library and the second brightness comparison library are combined for hierarchical division to obtain the first hierarchical item and the second hierarchical item, and the hierarchical comparison time is set based on the first hierarchical item and the second hierarchical item respectively; Based on the corresponding results of the light information item and the temperature information item with the first hierarchical item and the second hierarchical item, the first determination hierarchical item and the second determination hierarchical item are obtained, and the first comparison time and the second determination comparison time are obtained, and the switching time is set based on the first comparison time and the second determination comparison time to obtain the determination time item.

7. The intelligent light modulation system for traffic signal based on light and temperature perception as claimed in claim 1 wherein: The state comparison item is obtained by the following method: The first brightness comparison library also stores the best comparison data of the light intensity data and the light flicker frequency, and the second brightness comparison library also stores the best comparison data of the different temperature data and the light flicker frequency; The light flicker frequency corresponding to the light information item and the light flicker frequency corresponding to the temperature information item are obtained respectively by taking the light information item and the temperature information item as the comparison data to obtain the first frequency item and the second frequency item, and the state comparison item is obtained by combining the first frequency item and the second frequency item.

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