LED vehicle lamp operation monitoring system based on data analysis

Abstract

The invention relates to the technical field of LED vehicle lamp operation monitoring, and discloses an LED vehicle lamp operation monitoring system based on data analysis, and the system comprises the steps: recognizing the spatial position of a vehicle in a forward lane, screening a cooperative vehicle set, and building a cooperative communication connection in a road congestion state at night; a brightness disturbance instruction is sent to the cooperative vehicle set, a light intensity sensor is used for collecting the brightness of LED vehicle lamps in real time, and the brightness deviation is calculated based on the ideal brightness obtained through the experiment; the direct-current voltage of the LED vehicle lamp is collected in real time when the vehicle executes the brightness disturbance instruction, and the power supply performance index is calculated in combination with the brightness deviation; according to the width of the forward lane and the power supply performance index of the cooperative vehicle set, the illumination width of each vehicle is distributed, and the brightness of the LED vehicle lamps is calculated based on the illumination width; and sending a cooperative control instruction to the vehicles in the cooperative vehicle set, thereby realizing cooperative illumination in a road congestion state, real-time power supply performance evaluation and illumination width distribution of the cooperative vehicle set, and being energy-saving and safe.

Description

Technical Field

[0001] The present invention relates to the technical field of LED headlight operation monitoring, and particularly to an LED headlight operation monitoring system based on data analysis. Background Art

[0002] In the state of nighttime road congestion, cooperative vehicles can improve the overall lighting effect of the road by coordinating and controlling their respective lighting systems, effectively reduce light pollution and glare phenomena, enhance the visual clarity of drivers and driving safety. By intelligently allocating the lighting width and brightness, optimizing the lighting coverage between vehicles, alleviating the visual interference caused by traffic congestion, and realizing a more efficient and safe nighttime traffic environment.

[0003] The existing vehicle lighting control is mostly in an independent adjustment mode, lacking a cooperation mechanism, resulting in uneven lighting distribution in a multi-vehicle environment at night, prone to overlapping lighting and blind spots, and reducing the overall lighting efficiency. In addition, traditional technologies usually do not consider the power supply performance differences between vehicles and the road geometric features, making it difficult to achieve dynamic optimal allocation of lighting resources. Especially in complex road conditions and congested environments, the adjustment of light intensity lacks real-time feedback and refined control, easily causing the vehicle lighting to be too strong or insufficient, increasing safety risks. At the same time, the control of the irradiation shape of vehicle lights is lacking, making it difficult to accurately match the road width and vehicle distance, resulting in the lighting divergence angle and coverage area being unable to effectively adapt to the changes in the road environment. In addition, the existing technologies also lack a systematic solution for handling the lighting clipping and auxiliary light control of vehicles approaching the oncoming lane, unable to avoid interfering with oncoming lane vehicles and affecting the driving safety of both parties. In summary, the existing technologies are difficult to meet the nighttime lighting requirements of multi-vehicle cooperation, high efficiency, energy saving and safety, and there is an urgent need for an intelligent lighting control scheme based on vehicle cooperation and real-time data driving.

[0004] This solution proposes an LED headlight operation monitoring system based on data analysis, which realizes refined control of the brightness and lighting shape of vehicle LED headlights through real-time power supply performance evaluation and lighting width allocation based on a cooperative vehicle set. Summary of the Invention

[0005] The present invention provides an LED headlight operation monitoring system based on data analysis to help solve the problems mentioned in the above background art.

[0006] The present invention provides the following technical solution: An LED headlight operation monitoring system based on data analysis, comprising:

[0007] A vehicle cooperation recognition module, used to identify the spatial positions of vehicles in the forward lane in the state of nighttime road congestion, screen a cooperative vehicle set, and establish a cooperative communication connection;

[0008] The lamp control response test module is used to send brightness perturbation instructions to the cooperative vehicle set, collect the brightness of the LED vehicle lamp in real time using a light intensity sensor, and calculate the brightness deviation based on the ideal brightness obtained from experiments;

[0009] The power supply performance evaluation module is used to collect the DC voltage of the LED vehicle lamp in real time when the vehicle executes the brightness perturbation instruction, and calculate the power supply performance index in combination with the brightness deviation;

[0010] The cooperative lighting decision module is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the cooperative vehicle set, and calculate the brightness of the LED vehicle lamp based on the lighting width;

[0011] The cooperative lighting execution module is used to send cooperative control instructions to the vehicles in the cooperative vehicle set based on the cooperative communication network to achieve cooperative lighting in the road congestion state.

[0012] Optionally, the vehicle cooperative recognition module is used to identify the spatial positions of the vehicles in the forward lane in the road congestion state, screen the cooperative vehicle set, and establish a cooperative communication connection, including:

[0013] The road includes two groups of driving lanes with opposite directions, which are respectively named the forward lane and the reverse lane. Among them, each group of driving lanes contains multiple parallel lanes;

[0014] For each parallel lane in the forward lane:

[0015] Use a high-precision map to identify the position of the front boundary of each vehicle on the parallel lane in real time, and make a straight line perpendicular to the driving direction of the forward lane through the position;

[0016] Set the cooperative distance threshold;

[0017] Arbitrarily obtain two parallel lanes, calculate the distance between any two straight lines on the parallel lanes, and compare the distance with the cooperative distance threshold;

[0018] If the distance is less than or equal to the cooperative distance threshold, it is determined that the vehicles corresponding to the two straight lines are driving side by side;

[0019] Form a cooperative vehicle set with all the vehicles driving side by side.

[0020] Optionally, the lamp control response test module is used to send brightness perturbation instructions to the cooperative vehicle set, collect the brightness of the LED vehicle lamp in real time using a light intensity sensor, and calculate the brightness deviation based on the ideal brightness obtained from experiments, including:

[0021] Set the perturbation amplitude, and the perturbation amplitude is the ratio of increasing the brightness of the LED vehicle lamp;

[0022] Set the action duration of the brightness perturbation instruction as the perturbation interval;

[0023] The brightness perturbation instruction is to increase the brightness of the LED car lights of each vehicle in the cooperative vehicle set by the perturbation amplitude within the perturbation interval;

[0024] Use a light intensity sensor to collect the brightness of the LED car lights every unit time within the perturbation interval, which is recorded as the actual brightness of each unit time, where the unit time is less than the perturbation interval;

[0025] For any vehicle in the cooperative vehicle set, experimentally measure the ideal brightness within the perturbation interval when the vehicle leaves the factory:

[0026] Send a brightness perturbation instruction to the vehicle, and collect the brightness of the LED car lights every unit time within the perturbation interval, which is recorded as the ideal brightness of each unit time;

[0027] For each unit time, calculate the difference between the ideal brightness and the actual brightness;

[0028] Obtain the differences of all unit times, calculate the mean value, and record the result as the brightness deviation.

[0029] Optionally, the power supply performance evaluation module is used to collect the DC voltage of the LED car lights in real time when the vehicle executes the brightness perturbation instruction, and calculate the power supply performance index in combination with the brightness deviation, including:

[0030] Collect the DC voltage of the LED car lights every unit time within the perturbation interval, and obtain the maximum DC voltage and the minimum DC voltage;

[0031] Calculate the maximum DC voltage - the minimum DC voltage, and record the result as the voltage fluctuation amplitude;

[0032] Set the weights of the brightness deviation and the voltage fluctuation amplitude;

[0033] Calculate the weighted average of the brightness deviation and the voltage fluctuation amplitude and their respective weights, and record the result as the power supply performance index of the vehicle.

[0034] Optionally, the cooperative lighting decision module is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the cooperative vehicle set, and calculate the brightness of the LED car lights based on the lighting width, including:

[0035] Obtain the power supply performance index of each vehicle in the cooperative vehicle set, calculate the reciprocal of the power supply performance index, calculate the sum of all reciprocals, and record the result as the power supply index sum;

[0036] Calculate the reciprocal of the power supply performance index of each vehicle divided by the power supply index sum, and the result is used as the power supply task ratio;

[0037] Obtain the width of the forward lane, calculate the product of the width and the power supply task ratio, and use it as the lighting width for each vehicle;

[0038] Set each vehicle in the cooperative vehicle set to use low beam headlights. The lighting area projected by the low beam headlights on the forward lane is an isosceles trapezoid;

[0039] Among them, the two parallel sides of the isosceles trapezoid are named the first side and the second side according to the distance from the head boundary of the vehicle. Then the lighting width is the first side.

[0040] Optionally, the cooperative lighting decision module is used to allocate the lighting width for each vehicle according to the width of the forward lane and the power supply performance index of the cooperative vehicle set, and calculate the brightness of the LED headlights based on the lighting width. It also includes:

[0041] For any vehicle in the cooperative vehicle set, calculate the brightness of the LED headlights based on the lighting width:

[0042] Set the brightness interval;

[0043] Obtain the maximum brightness and minimum brightness of the LED headlights;

[0044] Divide the range between the maximum brightness and the minimum brightness into multiple test brightness levels with the brightness interval as the unit, and control the LED headlights to irradiate with low beam headlights at the test brightness levels;

[0045] Measure the length of the first side of the isosceles trapezoid corresponding to each test brightness, and establish the corresponding relationship between the length of the first side and the test brightness;

[0046] Obtain the lighting width of the vehicle;

[0047] Obtain the test brightness when the length of the first side is equal to the lighting width in the corresponding relationship, and control the brightness of the vehicle's LED headlights to be the test brightness;

[0048] Control the first sides of the isosceles trapezoids corresponding to each vehicle in the cooperative vehicle set to be on the same straight line.

[0049] Optionally, the control that the first sides of the isosceles trapezoids corresponding to each vehicle in the cooperative vehicle set are on the same straight line includes:

[0050] Use a high-precision map to identify the vehicle distance between each vehicle waiting in front of the cooperative vehicle set and the cooperative vehicle set, calculate the average value, and record it as the average vehicle distance L;

[0051] For any vehicle in the cooperative vehicle set:

[0052] Obtain the lighting width d of the vehicle, and calculate the lighting divergence angle θ of the vehicle,

[0053] The lighting divergence angle is used to control the divergence degree of the lighting area in the shape of an isosceles trapezoid, where the lighting divergence angle is:

[0054] Connect the midpoint of the second side of the isosceles trapezoid and the two endpoints of the first side to obtain two line segments, and the included angle between the two line segments is the lighting divergence angle;

[0055] Adjust the low beam to make the beam angle of the LED vehicle lamp equal to the lighting divergence angle;

[0056] Adjust the low beam to achieve the collinear arrangement of the first sides of the isosceles trapezoids of the collaborative vehicles concentrated on the same line.

[0057] Optionally, the collaborative lighting decision module is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the collaborative vehicle set, and calculate the brightness of the LED vehicle lamp based on the lighting width. It further includes:

[0058] Obtain the vehicle closest to the reverse lane in the collaborative vehicle set and record it as the marked vehicle;

[0059] Obtain the line segment of the first side of the isosceles trapezoid corresponding to the marked vehicle intercepted by the forward lane;

[0060] Calculate the length of the first side - the length of the line segment, and record the result as the cutting length;

[0061] Calculate the length of the first side - 2×the cutting length, and record the result as the marked length;

[0062] Obtain the test brightness with the length of the first side equal to the marked length in the corresponding relationship as the brightness of the LED vehicle lamp of the marked vehicle;

[0063] Obtain the steering assist lamp corresponding to the marked vehicle away from the reverse lane and turn on the steering assist lamp, where the steering assist lamp is used to illuminate the forward lane.

[0064] The present invention has the following beneficial effects:

[0065] 1. The LED vehicle lamp operation monitoring system based on data analysis can identify the spatial positions of vehicles in the forward lane based on high-precision map technology in the case of road congestion. By constructing vertical lines at the front boundary of the vehicle and combining the set collaborative distance threshold, it can achieve intelligent screening of vehicles driving side by side. It is used to efficiently construct a "collaborative vehicle set" with physical adjacency and response consistency, laying a spatial foundation for subsequent collaborative control, information interaction, and collective lighting scheduling.

[0066] 2. This LED headlight operation monitoring system based on data analysis can accurately control the disturbance application process by setting the disturbance amplitude and disturbance interval, and compare the ideal brightness sequence in the vehicle factory test data to obtain the deviation between the actual brightness and the ideal brightness. It effectively captures the responsiveness of the headlights during dynamic changes and can detect brightness lag, insufficient power supply or other distortion problems. It helps to achieve performance grading for subsequent lighting scheduling and provides a scientific basis for improving overall lighting consistency and energy saving effects.

[0067] 3. The LED headlight operation monitoring system based on data analysis obtains the voltage fluctuation amplitude by analyzing the maximum and minimum voltage differences within the disturbance interval, and performs weighted fusion with the brightness deviation to reflect the overall stability and consistency of the vehicle electrical system's response to lighting. Brightness deviation may be caused by problems such as aging of LED headlights, so it is necessary to additionally measure the DC voltage. When the vehicle's power supply capacity is insufficient, the higher the power supply performance index, the smaller the lighting tasks that need to be assigned in the collaborative lighting. The higher the power supply capacity, the lower the power supply performance index, and the more lighting tasks should be undertaken. The obtained power supply performance index is used as the scheduling basis in the subsequent collaborative control to avoid vehicles with low lighting quality from taking on too many lighting tasks, thereby optimizing the lighting configuration of the entire fleet, improving energy efficiency and nighttime driving safety.

[0068] 4. The LED headlight operation monitoring system based on data analysis approximates the lighting area of the low beam to an isosceles trapezoid, which simplifies the subsequent steps of allocating lighting tasks and facilitates calculation. The first side of the isosceles trapezoid is used as the lighting boundary, which can provide lighting between the cooperative vehicle set and the waiting vehicle in front while avoiding the visual stimulation of the headlights to the waiting vehicle in front. At the same time, in the case of road congestion, the vehicle is almost stopped, and the vehicle's lighting brightness is reduced, which can reduce energy consumption and ensure the safety of night driving.

[0069] 5. After the LED headlight operation monitoring system based on data analysis calculates the lighting width according to the power supply performance index, it is necessary to correspond the lighting width to the specific lighting brightness. Therefore, the lighting brightness corresponding to different lighting widths is tested for each vehicle, and then the lighting brightness corresponding to the lighting width corresponding to the length of the first side is obtained, ensuring that the overall lighting coverage is uniform and the light band has no breakpoints, thereby enhancing lighting continuity and road visibility, and effectively improving the collaborative lighting effect of multiple vehicles and driving safety.

[0070] 6. For the LED headlight operation monitoring system based on data analysis, even if the lighting area of each vehicle is limited to an isosceles trapezoid with a corresponding first side, due to reasons such as vehicle height or different installation conditions of the LED headlights, the angle adjustment of the low beam lights of different vehicles is different, and the first side must be controlled on the same straight line to form a unified lighting front reference line, evenly cover the entire lane, eliminate blind spots and overlaps, adjust the low beam lights to make the beam angle of the LED headlights equal to the lighting divergence angle; adjust the low beam lights to achieve the collinear arrangement of the first sides of the concentrated isosceles trapezoids of the collaborative vehicles, realize the accurate restoration of the lighting shape, the efficient splicing of collaborative control, and the strict matching of system modeling, and improve the efficiency and effect of collaborative lighting.

[0071] 7. For the LED headlight operation monitoring system based on data analysis, even if the lighting width of the marked vehicle has been allocated according to the lane width and power supply performance, when actually generating the isosceles trapezoid lighting area, due to factors such as vehicle position, splicing overlap, and lane boundary restrictions, there may be a situation where the positive lane can intercept the first side, that is, the LED headlights of the marked vehicle exceed the irradiation range of the positive lane and irradiate onto the reverse lane. Therefore, the overlapping part between the first side of its lighting area and the boundary line of the positive lane is trimmed and corrected to avoid the lighting area invading the reverse lane, improve safety, calculate the trimming length, and inversely deduce the matching lighting brightness to make the lighting range of the edge vehicle meet the lane boundary requirements. At the same time, turn on the directional steering assist lights to supplement the lighting of the area within the lane and enhance the visual coverage. It solves the problems of easy misalignment, deviation, and occlusion of the lighting in the boundary area, and significantly improves the edge safety and the overall lighting uniformity of the road. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a schematic diagram of the system module of the present invention.

[0073] Figure 2 It is a schematic diagram of the isosceles trapezoid of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0074] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0075] Example 1. Refer to Figure 1 , a LED headlight operation monitoring system based on data analysis, includes:

[0076] A vehicle collaborative recognition module, which is used to identify the spatial positions of vehicles in the forward lane under the condition of night road congestion, screen the collaborative vehicle set, and establish a collaborative communication connection, including:

[0077] The road includes two groups of driving lanes with opposite directions, which are named the forward lane and the reverse lane respectively. Among them, each group of driving lanes contains 3 parallel lanes;

[0078] For each parallel lane in the forward lane, L1, L2, L3:

[0079] Use a high-precision map to identify the position of the front boundary of each vehicle on the parallel lane in real time, and draw a straight line perpendicular to the driving direction of the forward lane through the position;

[0080] Under the congestion condition, there is one vehicle on each lane, namely A (L1), B (L2), and C (L3);

[0081] Set a collaborative distance threshold. In this embodiment, the collaborative distance threshold is equal to 4m;

[0082] Arbitrarily obtain two parallel lanes, calculate the distance between any two straight lines on the parallel lanes, and compare the distance with the collaborative distance threshold;

[0083] Among them, the straight-line distance between vehicle A and vehicle B is 2m < 4m, the straight-line distance between vehicle A and vehicle C is 3.8m < 4m, and the straight-line distance between vehicle C and vehicle B is 1.8m < 4m. Then it is determined that vehicle A, vehicle B, and vehicle C form a collaborative vehicle set on the forward lane.

[0084] A lamp control response test module, which is used to send a brightness perturbation instruction to the collaborative vehicle set, use a light intensity sensor to collect the brightness of the LED vehicle lamp in real time, and calculate the brightness deviation based on the ideal brightness obtained from the experiment, including:

[0085] The adjustment of the LED vehicle lamp of each collaborative vehicle is strictly limited within the adjustment range allowed by the vehicle lamp system to ensure that the lighting adjustment does not affect road safety and the stability of the vehicle lamp hardware.

[0086] Set the perturbation amplitude = 5%, and the perturbation amplitude is the ratio of increasing the brightness of the LED vehicle lamp;

[0087] Set the action duration of the brightness perturbation instruction as the perturbation interval = 2 seconds;

[0088] Set the unit duration as 0.5 seconds, then collect the brightness data once every 0.5 seconds, and collect it 4 times in total;

[0089] For vehicle A, in the ideal brightness acquisition stage (vehicle factory experiment):

[0090] The ideal response brightness obtained by vehicle A in the factory test is as follows:

[0091] The initial brightness is 1000 lux. "Lux" is the unit in the International System of Units for measuring illuminance, representing the luminous flux received per unit area.

[0092] After applying a 5% perturbation, the desired brightness linearly increases from 1000 lux to 1050 lux within 2 seconds.

[0093] Ideal brightness distribution:

[0094] The 1st unit time period (0.5 s): 1012.5 lux;

[0095] The 2nd unit time period (1.0 s): 1025 lux;

[0096] The 3rd unit time period (1.5 s): 1037.5 lux;

[0097] The 4th unit time period (2.0 s): 1050 lux;

[0098] During the test, the system sends a 5% brightness perturbation command to Vehicle A, and the brightness collected by the light intensity sensor is as follows:

[0099] The 1st unit time period: 1005 lux;

[0100] The 2nd unit time period: 1018 lux;

[0101] The 3rd unit time period: 1030 lux;

[0102] The 4th unit time period: 1040 lux;

[0103] Brightness deviation calculation:

[0104] Calculate the brightness difference (ideal brightness - actual brightness) for each unit time period respectively:

[0105] Difference 1 = 1012.5 - 1005 = 7.5 lux;

[0106] Difference 2 = 1025 - 1018 = 7 lux;

[0107] Difference 3 = 1037.5 - 1030 = 7.5 lux;

[0108] Difference 4 = 1050 - 1040 = 10 lux;

[0109] Calculate the brightness deviation (mean value) = (7.5 + 7 + 7.5 + 10) / 4 = 32 / 4 = 8 lux;

[0110] The power supply performance evaluation module is used to collect the DC voltage of the LED headlight in real time when the vehicle executes the brightness perturbation instruction, and calculate the power supply performance index in combination with the brightness deviation, including:

[0111] Collect the DC voltage of the LED headlight every unit time within the perturbation interval to obtain the maximum DC voltage and the minimum DC voltage;

[0112] Calculate the maximum DC voltage - the minimum DC voltage, and record the result as the voltage fluctuation amplitude;

[0113] Within the perturbation interval (2 seconds), collect the DC voltage of the LED headlight of vehicle A every 0.5 seconds, and the records are as follows:

[0114] The 1st time (0.5s): 13.2V;

[0115] The 2nd time (1.0s): 13.8V;

[0116] The 3rd time (1.5s): 13.5V;

[0117] The 4th time (2.0s): 13.0V;

[0118] → Maximum voltage = 13.8V

[0119] → Minimum voltage = 13.0V

[0120] → Voltage fluctuation amplitude = 13.8V - 13.0V = 0.8V;

[0121] Set the weights as follows (the example weights can be adjusted according to the actual scenario):

[0122] Brightness deviation weight: 0.6, voltage fluctuation amplitude weight: 0.4;

[0123] Power supply performance index = (8 × 0.6) + (0.8 × 0.4) = 4.8 + 0.32 = 5.12.

[0124] The collaborative lighting decision-making module is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the collaborative vehicle set, and calculate the brightness of the LED headlight based on the lighting width, including:

[0125] Obtain the power supply performance index of each vehicle in the collaborative vehicle set. The power supply performance indexes of vehicles A, B, and C are as follows:

[0126] Vehicle A: 5.12 (medium-stable power supply), the reciprocal is equal to

[0127] Vehicle B: 4.00 (relatively stable power supply), the reciprocal is equal to

[0128] Vehicle C: 8.00 (with large fluctuations), the reciprocal is equal to

[0129] Calculate the sum of all reciprocals, and the result is recorded as the power supply index sum = 0.1953 + 0.25 + 0.125 = 0.5703;

[0130] Calculate the reciprocal of the power supply performance index of each vehicle divided by the power supply index sum, and the result is used as the power supply task ratio;

[0131] Among them, the power supply task ratio of vehicle A = 0.1953 / 0.5703 ≈ 0.3424;

[0132] The power supply task ratio of vehicle B = 0.25 / 0.5703 ≈ 0.4382;

[0133] The power supply task ratio of vehicle C = 0.125 / 0.5703 ≈ 0.2192;

[0134] Obtain the width of the forward lane = 6m, and calculate the product of the width and the power supply task ratio as the lighting width of each vehicle;

[0135] The lighting width of vehicle A = 6 × 0.3424 ≈ 2.05 meters;

[0136] The lighting width of vehicle B = 6 × 0.4382 ≈ 2.63 meters;

[0137] The lighting width of vehicle C = 6 × 0.2192 ≈ 1.31 meters;

[0138] The lighting deviation of vehicle C is the smallest, but its power supply performance index is the largest (i.e., the system power supply fluctuates greatly), so it is assigned a smaller lighting width (1.31 meters).

[0139] Vehicle B has the most stable power supply and gets the largest lighting width (2.63 meters).

[0140] The system automatically performs optimal allocation according to "power supply reciprocal weighting" to ensure that stable vehicles undertake more lighting tasks.

[0141] Set each vehicle in the cooperative vehicle group to use low beam lights, and the lighting area projected by the low beam lights on the forward lane is an isosceles trapezoid;

[0142] Among them, the two parallel sides of the isosceles trapezoid are named the first side and the second side according to the distance from the head boundary, and the lighting width is the first side.

[0143] For any vehicle in the cooperative vehicle group, calculate the brightness of the LED headlight based on the lighting width:

[0144] Set the brightness interval = 10 cd (candela);

[0145] Obtain the maximum brightness of the LED headlight = 100 cd and the minimum brightness = 20 cd;

[0146] Divide into multiple test brightness levels at intervals of brightness between the maximum brightness and the minimum brightness, and control the LED headlight to irradiate with the low beam at the test brightness;

[0147] Measure the length of the first side of the isosceles trapezoid corresponding to each test brightness, and establish the corresponding relationship between the length of the first side and the test brightness;

[0148] Obtain the lighting width of the vehicle;

[0149] Obtain the test brightness when the length of the first side is equal to the lighting width in the corresponding relationship, and control the brightness of the vehicle's LED headlight to the test brightness;

[0150] The low beam brightness of the LED headlight of vehicle A is controlled to 46.25 cd;

[0151] The low beam brightness of the LED headlight of vehicle B is controlled to 64.33 cd;

[0152] The low beam brightness of the LED headlight of vehicle C is controlled to 27.75 cd;

[0153] Control the first sides of the isosceles trapezoids corresponding to each vehicle in the cooperative vehicle set to be on the same straight line.

[0154] Use a high-precision map to identify the vehicle distance between each vehicle waiting in front of the cooperative vehicle set and the cooperative vehicle set, calculate the average value, and denote it as the average vehicle distance L;

[0155] The distance between vehicle A and the vehicle in front is 4.5 meters;

[0156] The distance between vehicle B and the vehicle in front is 5.2 meters;

[0157] The distance between vehicle C and the vehicle in front is 4.8 meters;

[0158] Calculate the average value = (4.5 + 5.2 + 4.8) / 3 = 14.5 / 3 = 4.83 meters;

[0159] For any vehicle in the cooperative vehicle set:

[0160] Obtain the lighting width d of the vehicle = 2.05 meters;

[0161] In this embodiment, refer to Figure 2 , the isosceles trapezoid of vehicle A and the corresponding lighting divergence angle relationship.

[0162] The same applies to vehicle B and vehicle C.

[0163] Using existing technologies to adjust the low beam headlights, making the beam angle of the LED vehicle headlights equal to the lighting divergence angle. By calculating the vehicle lighting width and the vehicle distance, the target lighting divergence angle is obtained. Adjust the projection angle of the low beam headlights to make the beam angle of the LED vehicle headlights match this divergence angle, ensuring that the light coverage range meets the design requirements, achieving precise lighting control, and enhancing the road lighting effect and driving safety.

[0164] The beam angle of the LED vehicle headlights generally refers to the included angle range in which the vehicle light rays diverge outward from the light-emitting point, that is, the spatial angle covered by the beam. The beam angle corresponds to the lighting divergence angle. Adjusting the beam angle is to achieve reasonable coverage of the vehicle lighting area and effectively connect the lighting boundaries between vehicles.

[0165] Using existing technologies to adjust the low beam headlights to achieve the collinear arrangement of the first sides of the isosceles trapezoids in the centralized cooperative vehicles. Specifically, by adjusting the horizontal rotation angle and the light projection direction of the low beam headlights, the first sides of the isosceles trapezoids corresponding to each vehicle in the centralized cooperative vehicles are gradually aligned on the same straight line, achieving the collinear arrangement of the lighting areas. And the angle rotation adjustment mentioned in this embodiment mainly targets vehicles with adjustment functions, and the applicable range and adjustment angle need to be designed in combination with the actual hardware conditions of the vehicles.

[0166] Only by restricting the beam angle and the collinear arrangement of the first sides can the best cooperative lighting effect be achieved.

[0167] In the adjustment of the low beam headlights of this solution, if the adjustment range ability of the vehicle is limited, the closest adjustment result can be selected as the final adjustment target.

[0168] For vehicles without the rotation function, other existing supporting means need to be used to assist in achieving the lighting collinear requirements, or since most existing vehicles have adjustment conditions, a small number of vehicles without adjustment conditions can be ignored.

[0169] The adjustments of Vehicle B and Vehicle C are the same.

[0170] In the centralized cooperative vehicles, obtain the vehicle closest to the oncoming lane and record it as the marked vehicle;

[0171] Among them, Vehicle C is the marked vehicle;

[0172] The length of the first side of the isosceles trapezoid of Vehicle C (lighting width) = 1.31 meters;

[0173] Assume that through the high-precision map measurement, the length of the line segment of the first side of the isosceles trapezoid corresponding to the marked vehicle intercepted on the forward lane is 1 meter;

[0174] Calculate the length of the first side - the length of the line segment, and record the result as the trimming length = 1.31 - 1 = 0.31 meters;

[0175] Calculate the length of the first side - 2 × the cutting length, and record the result as the marked length == 1.31 - 2 × 0.31 = 0.69;

[0176] Obtain the test brightness with the length of the first side equal to the marked length in the said corresponding relationship as the brightness of the marked vehicle's LED headlight = 15 cd;

[0177] Obtain the turning auxiliary lamp corresponding to the marked vehicle away from the reverse lane, and turn on the turning auxiliary lamp, where the turning auxiliary lamp is used to illuminate the forward lane and is not used to guide the vehicle to turn.

[0178] Adjusting the brightness of the marked vehicle's low beam instead of the rotation angle is an optimal strategy based on the following restricted conditions:

[0179] Avoid irradiating out of bounds or interfering with the reverse lane, adapt to the adjustment limit of the hardware structure, and ensure the overall consistency and safety of cooperative lighting.

[0180] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0181] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and retouches can be made, and these improvements and retouches should also be regarded as the protection scope of the present invention.

Claims

1. An LED headlight operation monitoring system based on data analysis, characterized in that, Including: A vehicle collaborative recognition module, which is used to identify the spatial positions of vehicles in the forward lane under the condition of night road congestion, screen the collaborative vehicle set, and establish a collaborative communication connection; A lamp control response test module, which is used to send a brightness perturbation instruction to the collaborative vehicle set, collect the brightness of the LED vehicle lamp in real time using a light intensity sensor, and calculate the brightness deviation based on the ideal brightness obtained from experiments; A power supply performance evaluation module, which is used to collect the DC voltage of the LED vehicle lamp in real time when the vehicle executes the brightness perturbation instruction, and calculate the power supply performance index in combination with the brightness deviation; A collaborative lighting decision module, which is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the collaborative vehicle set, and calculate the brightness of the LED vehicle lamp based on the lighting width; A collaborative lighting execution module, which is used to send collaborative control instructions to the vehicles in the collaborative vehicle set based on the collaborative communication network to achieve collaborative lighting under the condition of road congestion.

2. The LED headlight operation monitoring system based on data analysis according to claim 1, wherein The vehicle collaborative recognition module, which is used to identify the spatial positions of vehicles in the forward lane under the condition of road congestion, screen the collaborative vehicle set, and establish a collaborative communication connection, includes: The road includes two groups of driving lanes with opposite directions, which are respectively named the forward lane and the reverse lane. Among them, each group of driving lanes contains multiple parallel lanes; For each parallel lane in the forward lane: Use a high-precision map to identify the position of the front boundary of each vehicle on the parallel lane in real time, and make a straight line perpendicular to the driving direction of the forward lane through the position; Set a collaborative distance threshold; Arbitrarily obtain two parallel lanes, calculate the distance between any two straight lines on the parallel lanes, and compare the distance with the collaborative distance threshold; If the distance is less than or equal to the collaborative distance threshold, it is determined that the vehicles corresponding to the two straight lines are driving side by side; Form all the vehicles driving side by side into a collaborative vehicle set.

3. The LED headlight operation monitoring system based on data analysis according to claim 1, characterized in that, The lamp control response test module, which is used to send a brightness perturbation instruction to the collaborative vehicle set, collect the brightness of the LED vehicle lamp in real time using a light intensity sensor, and calculate the brightness deviation based on the ideal brightness obtained from experiments, includes: Set a perturbation amplitude, and the perturbation amplitude is the proportion of increasing the brightness of the LED vehicle lamp; Set the action duration of the brightness perturbation instruction as the perturbation interval; The brightness perturbation instruction is to increase the brightness of the LED vehicle lamp of each vehicle in the collaborative vehicle set by the perturbation amplitude within the perturbation interval; Use a light intensity sensor to collect the brightness of the LED vehicle lamp every unit time within the perturbation interval, and record it as the actual brightness of each unit time, where the unit time is less than the perturbation interval; For any vehicle in the collaborative vehicle set, experimentally measure the ideal brightness within the perturbation interval when the vehicle leaves the factory: Send a brightness perturbation instruction to the vehicle, and collect the brightness of the LED vehicle lamp every unit time within the perturbation interval, and record it as the ideal brightness of each unit time; For each unit time, calculate the difference between the ideal brightness and the actual brightness; Obtain the differences of all unit times, calculate the mean value, and record the result as the brightness deviation.

4. The LED headlight operation monitoring system based on data analysis according to claim 3, characterized in that The power supply performance evaluation module, which is used to collect the DC voltage of the LED vehicle lamp in real time when the vehicle executes the brightness perturbation instruction, and calculate the power supply performance index in combination with the brightness deviation, includes: Collect the DC voltage of the LED headlight every unit time within the perturbation interval to obtain the maximum DC voltage and the minimum DC voltage; Calculate the maximum DC voltage - the minimum DC voltage, and record the result as the voltage fluctuation amplitude; Set the weights of the brightness deviation and the voltage fluctuation amplitude; Calculate the weighted average of the brightness deviation and the voltage fluctuation amplitude with their respective weights, and record the result as the power supply performance index of the vehicle.

5. The LED headlight operation monitoring system based on data analysis according to claim 1, characterized in that, The collaborative lighting decision module is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the collaborative vehicle set, and calculate the brightness of the LED headlight based on the lighting width, including: Obtain the power supply performance index of each vehicle in the collaborative vehicle set, calculate the reciprocal of the power supply performance index respectively, and calculate the sum of all reciprocals, and record the result as the power supply index sum; Calculate the reciprocal of the power supply performance index of each vehicle divided by the power supply index sum, and the result is used as the power supply task ratio; Obtain the width of the forward lane, and calculate the product of the width and the power supply task ratio as the lighting width of each vehicle; Set the low beam for each vehicle in the collaborative vehicle set, and the lighting area projected by the low beam on the forward lane is an isosceles trapezoid; Among them, the two parallel sides of the isosceles trapezoid are named the first side and the second side respectively according to the distance from the head boundary, and the lighting width is the first side.

6. The LED headlight operation monitoring system based on data analysis according to claim 5, characterized in that The collaborative lighting decision module is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the collaborative vehicle set, and calculate the brightness of the LED headlight based on the lighting width, and further includes: For any vehicle in the collaborative vehicle set, calculate the brightness of the LED headlight based on the lighting width: Set the brightness interval; Obtain the maximum brightness and the minimum brightness of the LED headlight; Divide the range between the maximum brightness and the minimum brightness into multiple test brightnesses with the brightness interval as the unit, and control the LED headlight to irradiate with the low beam at the test brightness; Measure the length of the first side of the isosceles trapezoid corresponding to each test brightness, and establish the corresponding relationship between the length of the first side and the test brightness; Obtain the lighting width of the vehicle; Obtain the test brightness when the length of the first side is equal to the lighting width in the corresponding relationship, and control the brightness of the vehicle's LED headlight to be the test brightness; Control the first sides of the isosceles trapezoids corresponding to each vehicle in the collaborative vehicle set to be on the same straight line.

7. The LED headlight operation monitoring system based on data analysis according to claim 6, characterized in that, The control that the first sides of the isosceles trapezoids corresponding to each vehicle in the collaborative vehicle set are on the same straight line includes: Use the high-precision map to identify the vehicle distance between each vehicle waiting in front of the collaborative vehicle set and the collaborative vehicle set, calculate the average value, and record it as the average vehicle distance L; For any vehicle in the collaborative vehicle set: Obtain the lighting width d of the vehicle and calculate the lighting divergence angle θ of the vehicle. The lighting divergence angle is used to control the divergence degree of the lighting area in the shape of an isosceles trapezoid, where the lighting divergence angle is: Connect the midpoint of the second side of the isosceles trapezoid and the two endpoints of the first side to obtain two line segments, and the included angle between the two line segments is the lighting divergence angle; Adjust the low beam to make the beam angle of the LED headlight equal to the lighting divergence angle; Adjust the low beam to achieve the collinear arrangement of the first sides of the isosceles trapezoids in the collaborative vehicle set.

8. The LED headlight operation monitoring system based on data analysis according to claim 7, characterized in that The collaborative lighting decision module is used to allocate the lighting width of each vehicle according to the width of the forward lane and the power supply performance index of the collaborative vehicle set, and calculate the brightness of the LED vehicle lights based on the lighting width. It further includes: Obtain the vehicle closest to the reverse lane in the collaborative vehicle set, denoted as the marked vehicle; Obtain the line segment of the first side of the isosceles trapezoid corresponding to the marked vehicle intercepted from the forward lane; Calculate the length of the first side - the length of the line segment, and denote the result as the cutting length; Calculate the length of the first side - 2×the cutting length, and denote the result as the marked length; Obtain the test brightness with the length of the first side equal to the marked length in the corresponding relationship as the brightness of the LED vehicle lights of the marked vehicle; Obtain the steering assist lamp corresponding to the marked vehicle away from the reverse lane, and turn on the steering assist lamp, where the steering assist lamp is used to illuminate the forward lane.

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