A method for dynamic evaluation of road lighting glare using imaging luminance meter
The glare index during road lighting time is obtained and analyzed by imaging brightness meter, the glare evaluation value is calculated and the glare severe period is determined, which solves the problem of single data processing in the prior art, realizes dynamic evaluation and accurate identification of road lighting glare, provides targeted optimization measures, and improves the safety and comfort of road lighting.
Patent Information
- Application Number
- CN202411614607.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-13
- Publication Date
- 2025-05-06
- Estimated Expiration
- 2044-11-13
AI Technical Summary
When using imaging luminance meter for road lighting glare monitoring, the data processing is single and the lack of comprehensive evaluation is caused by inaccurate judgments on severe glare periods and the impact of glare on the driver is not fully reflected.
The glare index during road lighting time was obtained by imaging brightness meter, and analyzed and processed, and the glare evaluation value was calculated, compared with the glare evaluation threshold to determine the period of glare severe. At the same time, the judgment value of the change between the light illumination value and the glare index during severe glare is analyzed, and the factors influencing the glare index are evaluated.
Dynamic assessment of road lighting glare is achieved, accurate identification of severe glare periods, and targeted optimization measures are provided to reduce the impact of glare on the driver and improve the safety and comfort of road lighting.
Smart Images

Figure CN119149976B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of road lighting glare assessment, and in particular to a method for dynamically assessing road lighting glare using an imaging luminance meter. Background Art
[0002] An imaging luminance meter is a precision instrument used to measure the brightness of a light source. It is widely used in many disciplines, including but not limited to mathematics, transportation engineering, electronics and communications technology, and basic engineering and technology sciences. In addition to basic brightness measurement, an imaging luminance meter can also perform glare testing, spectrum analysis, and other functions.
[0003] Road lighting glare refers to the strong reflection or scattering of light emitted by lamps in the road lighting system in the eyes of drivers or other road users, causing visual distress and discomfort, and may even threaten traffic safety;
[0004] However, when using imaging brightness meters to monitor road lighting glare, the data collected is usually processed in a single way and lacks comprehensive evaluation. The single data processing method leads to inaccurate judgment of the period of severe glare, which cannot fully reflect the impact of glare on drivers, and thus cannot formulate targeted optimization measures.
[0005] In view of this, we propose a method for dynamic evaluation of road lighting glare using imaging photometer. Summary of the invention
[0006] The object of the present invention is to provide a method for dynamically evaluating road lighting glare using an imaging luminance meter, so as to solve the technical problems in the above background.
[0007] The purpose of the present invention can be achieved through the following technical solutions:
[0008] The present invention provides a method for dynamically evaluating road lighting glare using an imaging luminance meter, which specifically comprises the following steps:
[0009] Step 1: Use an imaging luminance meter to obtain the glare index during the road lighting time, analyze and process it, and calculate the glare evaluation value;
[0010] Step 2: Compare the glare assessment value with the glare assessment threshold to determine the period of severe glare;
[0011] Step 3: Analyze and process the road lighting brightness value during the period of severe glare, and output the change judgment value between the light brightness and the glare index;
[0012] Step 4: Compare the change judgment value with the synchronous change threshold to evaluate the influencing factors of the glare index; if the change judgment value is less than the synchronous change threshold, it is marked as a linear change curve.
[0013] As a further solution of the present invention: the process of obtaining the glare evaluation value is:
[0014] The glare monitoring time points and glare index were analyzed to obtain the proportion of glare monitoring time points, glare index deviation ratio and glare index amplitude ratio;
[0015] The glare assessment value is calculated based on the proportion of glare monitoring time points, the glare index deviation ratio and the glare index amplitude ratio.
[0016] As a further solution of the present invention: the process of obtaining the glare monitoring time point and the glare index is:
[0017] The road lighting time of the target road section is taken as the total analysis period, the total analysis period is divided into a number of analysis sub-periods, and the analysis sub-periods are divided into a number of monitoring time points;
[0018] The driving speed is preset to allow the measuring vehicle to simulate driving during the road lighting time of the target road section;
[0019] During driving, use an imaging brightness meter to take photos of the target road section;
[0020] Process the captured image data, extract image information including original brightness data of the target road and glare data of road lighting fixtures, and calculate the glare index using the image data captured by the imaging luminance meter;
[0021] In the analysis sub-period, the glare index at each monitoring time point is obtained, and the glare index is compared with the standard value of the glare index;
[0022] If the glare index is greater than the glare index standard value, it is marked as the glare monitoring time point.
[0023] As a further solution of the present invention: the analysis process of the proportion of the number of glare monitoring time points, the glare index deviation ratio and the glare index amplitude ratio is as follows:
[0024] Obtain the number of glare monitoring time points, perform ratio processing on the number of glare monitoring time points and the total number of monitoring time points in the analysis sub-period, and obtain the ratio of the number of glare monitoring time points;
[0025] The glare index at the glare monitoring time point is calculated by difference with the glare index standard value to obtain the glare index difference, the glare index difference is calculated by ratio with the glare index standard value to obtain the glare index deviation ratio, and the glare index deviation ratios at all glare monitoring time points are summed and averaged to obtain the glare index deviation degree ratio;
[0026] The maximum and minimum values of the glare index difference are extracted, and the difference is calculated to obtain the glare index difference amplitude value, and the glare index difference amplitude value is ratioed with the minimum value of the glare index difference to obtain the glare index amplitude ratio.
[0027] As a further solution of the present invention: the process of obtaining the severe glare period is:
[0028] Obtaining a glare evaluation value for each analysis sub-period, comparing the glare evaluation value with a glare evaluation threshold, and generating a high glare degree signal if the glare evaluation value is greater than the glare evaluation threshold;
[0029] The analysis sub-period corresponding to the high glare degree signal is obtained and marked as the severe glare period.
[0030] As a further solution of the present invention: the process of obtaining the change judgment value is:
[0031] Analyze the length of the deviation line segment to obtain the percentage of the number of over-limit items;
[0032] According to the number of coordinate points on the light illuminance-glare index curve located on the upper side of the target broken line segment and the number of coordinate points located on the lower side of the target curve, the number deviation ratio is obtained by analysis;
[0033] The change judgment value is calculated based on the proportion of the number of exceeding the limit and the number deviation ratio.
[0034] As a further solution of the present invention: the process of obtaining the deviation line segment length value is:
[0035] Obtain the road lighting brightness value at each monitoring time point during the period of severe glare, and obtain the glare index at each monitoring time point during the period of severe glare;
[0036] The glare index and road lighting brightness values at the same monitoring time point are marked as the same group of data;
[0037] With light illuminance as the X-axis and glare index as the Y-axis, a two-dimensional model is established. The road lighting brightness value in the same group of data is the horizontal coordinate and the glare index is the vertical coordinate. Points are drawn in the two-dimensional model and all coordinate points are connected to obtain the light illuminance-glare index curve.
[0038] Mark the light illuminance-glare index curve as the curve to be analyzed, connect the starting point and the end point of the curve to be analyzed to obtain the target line segment;
[0039] Take the ordinate of the coordinate point in the polyline to be analyzed as the starting point and the target polyline segment as the end point, draw a line segment parallel to the Y axis, mark it as the deviation line segment, and calculate the length value of the deviation line segment.
[0040] As a further solution of the present invention: the process of obtaining the percentage of the number of over-limit items is as follows:
[0041] Obtain the deviation line segment length value, compare the deviation line segment length value with the deviation line segment length threshold, and if the deviation line segment length value is greater than the deviation line segment length threshold, mark it as an out-of-limit line segment;
[0042] Get the number of out-of-limit line segments, and perform ratio processing on the number of out-of-limit line segments and the total number of coordinate points to obtain the ratio of the out-of-limit number.
[0043] As a further solution of the present invention: the process of obtaining the number deviation ratio is:
[0044] Obtain the coordinate points on the illuminance-glare index curve that are located on the upper side of the target broken line segment and the coordinate points that are located on the lower side of the target curve, perform difference calculation, take the absolute value of the difference to obtain the number deviation value, perform ratio calculation on the number deviation value and the total number of coordinate point values to obtain the number deviation ratio.
[0045] As a further solution of the present invention: the following steps are also included:
[0046] Step 5: Determine the critical value of light brightness based on the linear change curve;
[0047] The process of determining the critical value of light illumination is as follows:
[0048] Since the curve to be analyzed is a linear curve, a straight line parallel to the X-axis is drawn with the glare index standard value as the reference value in the two-dimensional model where the light illuminance-glare index curve is located, and it is marked as the standard limit line;
[0049] The light illuminance-glare index curve is fitted by the least square method to obtain a fitting straight line, which is marked as the light illuminance-glare index variation line;
[0050] Extend the light illuminance-glare index variation line and intersect it with the standard limit line, obtain the horizontal coordinate value corresponding to the intersection point, and mark it as the light illuminance critical value.
[0051] Beneficial effects of the present invention: The present invention first obtains the glare index during the road lighting time through an imaging brightness meter, and performs processing and analysis to calculate the glare evaluation value, compares the glare evaluation value with the glare evaluation threshold, and obtains the analysis sub-period corresponding to the glare evaluation value being greater than the glare evaluation threshold, which is the severe glare period, so that the severe glare period can be obtained based on the dynamic monitoring of the road lighting glare and a comprehensive evaluation through data processing, and then the obtained severe glare period can be analyzed in a targeted manner;
[0052] The present invention obtains the road lighting brightness value during the glare severe period and calculates the change judgment value between the light brightness and the glare index. The specific steps include obtaining the glare index and the road lighting brightness value during the glare severe period, establishing a two-dimensional model and plotting points to obtain a light brightness-glare index curve, calculating the deviation line segment length value, the percentage of the number of over-limits and the number deviation ratio, and finally substituting them into a formula to calculate the change judgment value, comparing the change judgment value with the synchronous change threshold, and obtaining the change type of the light brightness-glare index curve, so as to understand the change trend between the light brightness and the glare index, and facilitate the formulation of subsequent optimization measures;
[0053] The present invention is based on the fact that when the curve to be analyzed is a linear variation curve, a standard limit line is drawn in a two-dimensional model, the light brightness-glare index variation line is fitted by the least square method, and the horizontal coordinate value corresponding to the intersection is obtained as the light brightness critical value, so that the glare situation can be dynamically evaluated and the light brightness critical value can be obtained, and the subsequent road lighting brightness can be adjusted, thereby reducing the impact of glare on drivers and improving the safety and comfort of road lighting. BRIEF DESCRIPTION OF THE DRAWINGS
[0054] The present invention will be further described below in conjunction with the accompanying drawings.
[0055] Figure 1 It is a flowchart of a method for dynamically evaluating road lighting glare using an imaging luminance meter according to the present invention;
[0056] Figure 2 The present invention is a flowchart of a process for obtaining a glare evaluation value in a method for dynamically evaluating road lighting glare using an imaging luminance meter. DETAILED DESCRIPTION
[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0058] Example 1: Please refer to Figure 1 and Figure 2 As shown, a method for dynamically evaluating road lighting glare using an imaging luminance meter according to an embodiment of the present invention specifically includes the following steps:
[0059] Step 1: Use an imaging luminance meter to obtain the glare index during the road lighting time, analyze and process it, and calculate the glare evaluation value;
[0060] In some embodiments, the road lighting time of the target road section is used as the total analysis period, the total analysis period is divided into a number of analysis sub-periods, and the analysis sub-periods are divided into a number of monitoring time points;
[0061] Preset the driving speed and let the measuring vehicle simulate driving during the road lighting time of the target road section, wherein the driving speed is set by a technician in the field based on the summary of the speed of vehicles passing through the target road section in the historical period;
[0062] During driving, the imaging brightness meter placed in the on-board system of the measuring vehicle is controlled to quickly take photos of the target road section according to the preset measurement step length;
[0063] It should be noted that when taking photos, the distance, angle and other parameters between the imaging brightness meter lens and the area to be measured should be kept consistent to eliminate measurement errors;
[0064] Process the captured image data to extract image information including original brightness data of the target road and glare data of road lighting fixtures. According to relevant standards for glare evaluation (such as CIE 140-2000 and CIE 150-2003, etc.), calculate the glare index using the image data captured by the imaging luminance meter. The glare index can be expressed by a threshold increment TI.
[0065] In the analysis sub-period, the glare index at each monitoring time point is obtained, and the glare index is compared with the standard value of the glare index, wherein the standard value of the glare index is summarized and set by technicians in this field based on historical multiple experimental data and the Urban Road Lighting Design Standards;
[0066] If the glare index is less than or equal to the standard value of the glare index, it means that the lighting conditions at this monitoring time point will not produce glare, and it is marked as a normal monitoring time point;
[0067] If the glare index is greater than the standard value of the glare index, it means that the lighting conditions at the monitoring time point will produce glare, which is marked as the glare monitoring time point;
[0068] Obtain the number of glare monitoring time points, perform ratio processing on the number of glare monitoring time points and the total number of monitoring time points in the analysis sub-period, and obtain the ratio of the number of glare monitoring time points;
[0069] It should be explained that the meaning reflected by the proportion of the number of glare monitoring time points is: the proportion of the number of glare monitoring time points is calculated by the number of glare monitoring time points. The larger the number of glare monitoring time points, that is, the more the number of times the glare index exceeds the standard value of the glare index in the analysis sub-period, the more severe the glare situation is in the analysis sub-period;
[0070] The glare index at the glare monitoring time point is calculated by difference with the glare index standard value to obtain the glare index difference, the glare index difference is calculated by ratio with the glare index standard value to obtain the glare index deviation ratio, and the glare index deviation ratios at all glare monitoring time points are summed and averaged to obtain the glare index deviation degree ratio;
[0071] It should be explained that the glare index deviation ratio reflects the following meaning: the glare index deviation ratio is calculated by the glare index deviation ratio. The larger the glare index deviation ratio is, the greater the deviation between the glare index and the glare index standard value is, that is, the higher the severity of the glare situation in the analysis sub-period.
[0072] Extract the maximum and minimum values of the glare index difference, perform difference calculation to obtain the glare index difference amplitude value, perform ratio processing on the glare index difference amplitude value and the minimum value of the glare index difference to obtain the glare index amplitude ratio;
[0073] It should be explained that the meaning of the glare index amplitude ratio is: the glare index amplitude ratio is calculated by the glare index difference amplitude value, and the larger the glare index difference amplitude value, the larger the deviation amplitude between the maximum value and the minimum value in the glare index difference value, that is, the higher the severity of the glare situation in the analysis sub-period;
[0074] Substitute into the formula , the glare evaluation value XM is calculated, where ZB represents the proportion of the number of glare monitoring time points, CD represents the glare index deviation ratio, FD represents the glare index amplitude ratio, a1, a2, and a3 represent the preset proportional coefficients, the value of a1 is 1.54, the value of a2 is 1.25, and the value of a3 is 1.21;
[0075] It needs to be explained that the meaning of the glare evaluation value is: the glare evaluation value is calculated by the three values of the proportion of the number of glare monitoring time points, the glare index deviation ratio and the glare index amplitude ratio. These three values are proportional to the glare evaluation value and reflect the severity of the glare. That is, the greater the proportion of the number of glare monitoring time points, the glare index deviation ratio and the glare index amplitude ratio, the greater the glare evaluation value and the higher the severity of the glare situation.
[0076] Step 2: Compare the glare assessment value with the glare assessment threshold to determine the period of severe glare;
[0077] In some embodiments, a glare evaluation value of each analysis sub-period is obtained, and the glare evaluation value is compared with a glare evaluation threshold, wherein the glare evaluation threshold is a critical value used to judge the severity of the glare situation in the analysis sub-period, and is summarized and set by a person skilled in the art based on historical multiple experimental data;
[0078] If the glare evaluation value is less than or equal to the glare evaluation threshold, it means that the glare situation in the analysis sub-period is relatively mild, and a low glare signal is generated;
[0079] If the glare evaluation value is greater than the glare evaluation threshold, it means that the glare situation in the analysis sub-period is more serious, and a high glare level signal is generated;
[0080] Obtain the analysis sub-period corresponding to the high glare degree signal and mark it as the severe glare period;
[0081] The technical solution of the embodiment of the present invention is mainly as follows: first, the glare index during the road lighting time is obtained by an imaging luminance meter, and processing and analysis are performed to calculate the glare evaluation value, specifically including dividing the road lighting time into multiple analysis sub-periods and monitoring time points, using the imaging luminance meter to capture images and extract the glare index, comparing the glare index with the standard value, calculating the proportion of the number of glare monitoring time points, the glare index deviation degree ratio and the glare index amplitude ratio, and finally substituting them into the formula to calculate the glare evaluation value, comparing the glare evaluation value with the glare evaluation threshold, and obtaining the analysis sub-period corresponding to the glare evaluation value being greater than the glare evaluation threshold, that is, the severe glare period, so that based on the dynamic monitoring of the road lighting glare and a comprehensive evaluation through data processing, the severe glare period can be obtained, and then the obtained severe glare period can be analyzed in a targeted manner.
[0082] Example 2: Based on Example 1, please refer to Figure 1 As shown, the method for dynamically evaluating road lighting glare using an imaging luminance meter according to an embodiment of the present invention further includes the following steps:
[0083] Step 3: Obtain the road lighting brightness value during the period of severe glare, analyze and process it, and output the change judgment value between the brightness and the glare index;
[0084] In some embodiments, the road lighting brightness value at each monitoring time point during the severe glare period is obtained, and the glare index at each monitoring time point during the severe glare period is obtained;
[0085] The glare index and road lighting brightness values at the same monitoring time point are marked as the same group of data;
[0086] With light illuminance as the X-axis and glare index as the Y-axis, a two-dimensional model is established. The road lighting brightness value in the same group of data is the horizontal coordinate and the glare index is the vertical coordinate. Points are drawn in the two-dimensional model and all coordinate points are connected to obtain the light illuminance-glare index curve.
[0087] It should be noted that if there are multiple coordinate points with the same horizontal coordinates but different vertical coordinates, all vertical coordinates are summed and averaged to obtain the mean of the vertical coordinates, and the mean of the vertical coordinates is used as the representative value for plotting points;
[0088] For example, if there are coordinate point A (light illuminance X1, glare index Y1) and coordinate point B (light illuminance X1, glare index Y2), and X1 is the same but Y1 and Y2 are different, then the average of glare index Y1 and glare index Y2 is As the glare index corresponding to the light illumination X1;
[0089] Mark the light illuminance-glare index curve as the curve to be analyzed, connect the starting point and the end point of the curve to be analyzed to obtain the target line segment;
[0090] Take the ordinate of the coordinate point in the polyline to be analyzed as the starting point and the target polyline segment as the end point, draw a line segment parallel to the Y axis, and mark it as the deviation line segment;
[0091] Obtaining a deviation line segment length value, and comparing the deviation line segment length value with a deviation line segment length threshold, wherein the deviation line segment length threshold is set by a person skilled in the art based on a summary of multiple historical experimental data;
[0092] If the deviation line segment length value is greater than the deviation line segment length threshold, it is marked as an out-of-limit line segment; if the deviation line segment length value is less than or equal to the deviation line segment length threshold, it is marked as an in-limit line segment;
[0093] Get the number of out-of-limit line segments, and perform ratio processing on the number of out-of-limit line segments and the total number of coordinate points to obtain the ratio of out-of-limit numbers;
[0094] Obtain the coordinate point values of the coordinate points on the light illuminance-glare index curve located on the upper side of the target polyline segment and the coordinate point values located on the lower side of the target curve, perform difference calculation, take the absolute value of the difference to obtain the number deviation value, perform ratio calculation on the number deviation value and the total number of coordinate point values to obtain the number deviation ratio;
[0095] Substitute into the formula , get the change judgment value PD, where CX represents the percentage of over-limit numbers, PC represents the number deviation ratio, s1 and s2 are preset proportional coefficients, s1 is 1.68, and s2 is 1.32;
[0096] It should be explained that the change judgment value PD reflects the following meaning: the change judgment value is calculated by the proportion of the number of over-limit items and the number deviation ratio, wherein, if the proportion of the number of over-limit items is smaller, the number of deviation line segments whose length is greater than the deviation line segment length threshold is smaller, and the curve to be analyzed is closer to the target line segment, that is, the curve to be analyzed is closer to linear change; if the number deviation ratio is smaller, the absolute difference between the number of coordinate points of the curve to be analyzed on the upper side of the target line segment and the number of coordinate points on the lower side of the target line segment is smaller, that is, the curve to be analyzed is closer to linear change;
[0097] Step 4: Compare the change judgment value with the synchronous change threshold to determine the change type of the curve to be analyzed, where the change type includes linear change and nonlinear change;
[0098] In some embodiments, a change judgment value is obtained, and the change judgment value is compared with a synchronous change threshold value, wherein the synchronous change threshold value is set by a person skilled in the art based on a summary of multiple historical experimental data;
[0099] If the change judgment value is less than the synchronous change threshold, the curve to be analyzed is marked as a linear change curve;
[0100] If the change judgment value is greater than or equal to the synchronous change threshold, the curve to be analyzed is marked as a nonlinear change curve;
[0101] If the curve to be analyzed is a nonlinear variation curve, it means that the road lighting glare index may be affected by multiple factors;
[0102] Among them, influencing factors include but are not limited to: lamp type, road surface material, surrounding environment, etc.;
[0103] The technical solution of the embodiment of the present invention is mainly: by obtaining the road lighting light illuminance value during the period of severe glare, and calculating the change judgment value between the light illuminance and the glare index, the specific steps include obtaining the glare index and the road lighting brightness value during the period of severe glare, establishing a two-dimensional model and plotting points to obtain a light illuminance-glare index curve, calculating the deviation line segment length value, the proportion of the number of exceeding the limit and the number deviation ratio, and finally substituting them into the formula to calculate the change judgment value, comparing the change judgment value with the synchronous change threshold, and obtaining the change type of the light illuminance-glare index curve, so as to understand the change trend between the light illuminance and the glare index, and facilitate the formulation of subsequent optimization measures.
[0104] Example 3: Based on Example 1 and Example 2, please refer to Figure 1 As shown, a method for dynamically evaluating road lighting glare using an imaging luminance meter according to an embodiment of the present invention is as follows:
[0105] Step 5: Based on the fact that the curve to be analyzed is a linear change curve, obtain the critical value of light brightness;
[0106] In some embodiments, based on the fact that the curve to be analyzed is a linear variation curve, a straight line parallel to the X-axis is drawn with the glare index standard value as the reference value in the two-dimensional model where the light illuminance-glare index curve is located, and it is marked as the standard limit line;
[0107] The light illuminance-glare index curve is fitted by the least square method to obtain a fitting straight line, which is marked as the light illuminance-glare index variation line;
[0108] Extend the light illuminance-glare index variation line and intersect it with the standard limit line, obtain the horizontal coordinate value corresponding to the intersection point, mark it as the light illuminance critical value, and adjust the road lighting brightness to the light illuminance critical value during the period of severe glare;
[0109] It should be noted that if the light illuminance-glare index variation line and the standard limit line already have an intersection, there is no need to extend the light illuminance-glare index variation line, and the horizontal coordinate value corresponding to the intersection point can be directly obtained.
[0110] The technical solution of the embodiment of the present invention is mainly as follows: when the curve to be analyzed is a linear change curve, a standard limit line is drawn in a two-dimensional model, the light brightness-glare index change line is fitted using the least squares method, and the horizontal coordinate value corresponding to the intersection is obtained as the light brightness critical value, so that the glare situation can be dynamically evaluated and the light brightness critical value can be obtained, and the subsequent road lighting brightness can be adjusted to reduce the impact of glare on drivers and improve the safety and comfort of road lighting.
[0111] The size of the above threshold is set for the convenience of comparison. The size of the threshold depends on the amount of sample data and the base number set by the technicians in this field for each group of sample data. For example, in the actual process, there are many groups of glare monitoring time point ratios, glare index deviation ratios and glare index amplitude ratios. Many groups of glare monitoring time point ratios, glare index deviation ratios and glare index amplitude ratios are processed to obtain the glare evaluation values of the corresponding groups. The staff evaluates the severity of the glare situation based on so many groups of glare evaluation values, thereby obtaining a corresponding relationship between the glare evaluation value and the severity of the glare situation, and then derives and divides the threshold of the glare evaluation value according to the severity of the glare situation, thereby obtaining the glare evaluation threshold, and compares the obtained glare evaluation value with the glare evaluation threshold, that is, completes the identification of the severity of the glare situation corresponding to the glare evaluation value.
[0112] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. A method for dynamically evaluating road lighting glare using an imaging luminance meter, characterized in that: The specific steps include: Step 1: Use an imaging luminance meter to obtain the glare index during the road lighting time, analyze and process it, and calculate the glare evaluation value; The process of obtaining the glare evaluation value is as follows: The glare monitoring time points and glare index were analyzed to obtain the proportion of glare monitoring time points, glare index deviation ratio and glare index amplitude ratio; Substitute the proportion of glare monitoring time points, glare index deviation ratio and glare index amplitude ratio into the formula , the glare evaluation value XM is calculated, where ZB represents the proportion of the number of glare monitoring time points, CD represents the glare index deviation ratio, FD represents the glare index amplitude ratio, and a1, a2, and a3 represent the preset proportional coefficients; Step 2: Compare the glare assessment value with the glare assessment threshold to determine the period of severe glare; Step 3: Analyze and process the road lighting brightness value during the period of severe glare, and output the change judgment value between the light brightness and the glare index; Step 4: Compare the change judgment value with the synchronous change threshold to evaluate the influencing factors of the glare index. If the change judgment value is less than the synchronous change threshold, it is marked as a linear change curve.
2. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 1, characterized in that: The acquisition process of the glare monitoring time point and the glare index is as follows: The road lighting time of the target road section is taken as the total analysis period, the total analysis period is divided into a number of analysis sub-periods, and the analysis sub-periods are divided into a number of monitoring time points; The driving speed is preset to allow the measuring vehicle to simulate driving during the road lighting time of the target road section; During driving, use an imaging brightness meter to take photos of the target road section; Process the captured image data, extract image information including original brightness data of the target road and glare data of road lighting fixtures, and calculate the glare index using the image data captured by the imaging luminance meter; In the analysis sub-period, the glare index at each monitoring time point is obtained, and the glare index is compared with the standard value of the glare index; If the glare index is greater than the glare index standard value, it is marked as the glare monitoring time point.
3. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 2, characterized in that: The analysis process of the glare monitoring time point ratio, glare index deviation ratio and glare index amplitude ratio is as follows: Obtain the number of glare monitoring time points, perform ratio processing on the number of glare monitoring time points and the total number of monitoring time points in the analysis sub-period, and obtain the ratio of the number of glare monitoring time points; The glare index at the glare monitoring time point is calculated by difference with the glare index standard value to obtain the glare index difference, the glare index difference is calculated by ratio with the glare index standard value to obtain the glare index deviation ratio, and the glare index deviation ratios at all glare monitoring time points are summed and averaged to obtain the glare index deviation degree ratio; The maximum and minimum values of the glare index difference are extracted, and the difference is calculated to obtain the glare index difference amplitude value, and the glare index difference amplitude value is ratioed with the minimum value of the glare index difference to obtain the glare index amplitude ratio.
4. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 1, characterized in that: The process of obtaining the severe glare period is as follows: Obtaining a glare evaluation value for each analysis sub-period, comparing the glare evaluation value with a glare evaluation threshold, and generating a high glare degree signal if the glare evaluation value is greater than the glare evaluation threshold; The analysis sub-period corresponding to the high glare degree signal is obtained and marked as the severe glare period.
5. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 1, characterized in that: The process of obtaining the change judgment value is as follows: Analyze the length of the deviation line segment to obtain the percentage of the number of over-limit items; According to the number of coordinate points on the light illuminance-glare index curve located on the upper side of the target broken line segment and the number of coordinate points located on the lower side of the target curve, the number deviation ratio is obtained by analysis; Substitute the percentage of over-limit numbers and the number deviation ratio into the formula , the change judgment value PD is calculated, where CX represents the proportion of the number of over-limit items, PC represents the number deviation ratio, and s1 and s2 are preset proportional coefficients.
6. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 5, characterized in that: The process of obtaining the deviation line segment length value is as follows: Obtain the road lighting brightness value at each monitoring time point during the period of severe glare, and obtain the glare index at each monitoring time point during the period of severe glare; The glare index and road lighting brightness values at the same monitoring time point are marked as the same group of data; With light illuminance as the X-axis and glare index as the Y-axis, a two-dimensional model is established. The road lighting brightness value in the same group of data is the horizontal coordinate and the glare index is the vertical coordinate. Points are drawn in the two-dimensional model and all coordinate points are connected to obtain the light illuminance-glare index curve. Mark the light illuminance-glare index curve as the curve to be analyzed, connect the starting point and the end point of the curve to be analyzed to obtain the target line segment; Take the ordinate of the coordinate point in the polyline to be analyzed as the starting point and the target polyline segment as the end point, draw a line segment parallel to the Y axis, mark it as the deviation line segment, and calculate the length of the deviation line segment.
7. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 6, characterized in that: The process of obtaining the percentage of the number of over-limit items is as follows: Obtain the deviation line segment length value, compare the deviation line segment length value with the deviation line segment length threshold, and if the deviation line segment length value is greater than the deviation line segment length threshold, mark it as an out-of-limit line segment; Get the number of out-of-limit line segments, and perform ratio processing on the number of out-of-limit line segments and the total number of coordinate points to obtain the ratio of the out-of-limit number.
8. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 6, characterized in that: The process of obtaining the number deviation ratio is as follows: Obtain the coordinate points on the illuminance-glare index curve that are located on the upper side of the target broken line segment and the coordinate points that are located on the lower side of the target curve, perform difference calculation, take the absolute value of the difference to obtain the number deviation value, perform ratio calculation on the number deviation value and the total number of coordinate point values to obtain the number deviation ratio.
9. The method for dynamically evaluating road lighting glare using an imaging luminance meter according to claim 1, characterized in that: The following steps are also included: Step 5: Determine the critical value of light brightness based on the linear change curve; The process of determining the critical value of light illumination is as follows: Since the curve to be analyzed is a linear curve, a straight line parallel to the X-axis is drawn with the glare index standard value as the reference value in the two-dimensional model where the light illuminance-glare index curve is located, and it is marked as the standard limit line; The light illuminance-glare index curve is fitted by the least square method to obtain a fitting straight line, which is marked as the light illuminance-glare index variation line; Extend the light illuminance-glare index variation line and intersect it with the standard limit line, obtain the horizontal coordinate value corresponding to the intersection point, and mark it as the light illuminance critical value.
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