CN112329251A - Target contrast calculation method used in mesopic vision characteristic category - Google Patents

Target contrast calculation method used in mesopic vision characteristic category Download PDF

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CN112329251A
CN112329251A CN202011257718.0A CN202011257718A CN112329251A CN 112329251 A CN112329251 A CN 112329251A CN 202011257718 A CN202011257718 A CN 202011257718A CN 112329251 A CN112329251 A CN 112329251A
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mesopic vision
calculating
contrast
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董丽丽
娄琦
田长志
许文海
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Dalian Maritime University
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Dalian Maritime University
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Abstract

The invention provides a method for calculating the contrast of a target in the category of mesopic vision characteristics, which comprises the following steps: measuring spectral power distribution curves of a target and a background surface under different illumination conditions; selecting a proper mesopic vision luminosity calculation model, calculating a spectral luminous efficiency function, and calculating the perceived brightness of the target and the background in the mesopic vision characteristic scope according to a measured spectral power distribution curve; and calculating the target contrast in the mesopic characteristic scope based on the calculated brightness, and selecting the lighting lamp which enables the target contrast to be maximum according to the calculation result of the target contrast, so as to be applied to tunnel lighting. According to the technical scheme, the target contrast calculated by the LED illumination light sources with different color temperatures and color rendering properties when the intermediate visual brightness is considered can be compared, the appropriate illumination light source is selected for tunnel illumination, and the guarantee is provided for illumination energy conservation and driving safety.

Description

Target contrast calculation method used in mesopic vision characteristic category
Technical Field
The invention relates to the technical field of mesopic vision and tunnel lighting, in particular to a target contrast calculation method used in the mesopic vision characteristic scope.
Background
In recent years, LED light sources have replaced traditional light sources in tunnels due to their lower power consumption and longer lifetime. And the numerical values of the color temperature and the color rendering of the LED light source can be set by manufacturers. When LED light sources with different color temperatures and color rendering provide the same ambient brightness, the human eye perceives different target contrasts, which may also result in different target contrasts because the human eye has different sensitivities to light of different wavelengths. The target contrast is the direct reflection of the light source in the tunnel to the visual characteristics of human eyes, which affects the reaction time of human eyes, and the length of the reaction time of human eyes directly affects the probability of accidents in the tunnel. Therefore, the selection of the LED light source with proper color temperature and color rendering is of great significance for safe driving in the tunnel. However, the selectable color temperature and color rendering of the LED light source are wide in range, and the LED lamps with different color temperatures provide different lighting effects. So far, there is no clear result in selecting which kind of LED lighting fixture can provide the best lighting effect in the tunnel.
Disclosure of Invention
In accordance with the technical problem set forth above, a method for calculating a target contrast in the category of mesopic vision characteristics is provided. The method selects the lighting lamp which enables the target contrast to reach the maximum according to the brightness of the target and the background obtained by calculation and the target contrast in the middle visual characteristic scope, is applied to tunnel lighting, can ensure that the maximum target contrast is reached under the same brightness environment, realizes energy conservation and ensures driving safety.
The technical means adopted by the invention are as follows:
a method for calculating contrast of an object in the category of mesopic vision characteristics, comprising the steps of:
s1, measuring spectral power distribution curves of the target and the background surface under different illumination conditions;
s2, selecting a proper mesopic vision luminosity calculation model, calculating a spectral luminous efficiency function, and calculating the perceived brightness of the target and the background in the mesopic vision characteristic scope according to the spectral power distribution curve obtained by the step S1;
and S3, calculating the target contrast in the mesopic vision characteristic scope based on the perceived brightness calculated in the step S2, and selecting the lighting lamp which enables the target contrast to be maximum according to the calculation result of the target contrast to be applied to tunnel lighting.
Further, the step S1 specifically includes: spectral power distribution curves of the target and the background surface under different light color conditions are respectively measured by using a spectroradiometer, and the same ambient brightness is ensured in the measurement process.
Further, the step S2 specifically includes:
and S21, selecting an MES2 mesopic vision photometric calculation model according to the brightness inside the tunnel and considering the brightness application range of different mesopic vision photometric calculation models.
S22, calculating a mesopic vision spectral luminous efficacy curve based on the spectral power distribution curve measured in the step S1 and the MES2 mesopic vision photometric calculation model selected in the step S21;
s23, calculating the perceived brightness of the target and the background based on the spectral power distribution curve measured in step S1 and the mesopic vision spectral luminous efficiency curve calculated in step S22.
Further, the step S3 specifically includes:
s31, substituting the perceived brightness of the target and the background in the mesopic vision characteristic scope obtained in the step S2 into a contrast calculation formula, and calculating the target contrast under the mesopic vision characteristic;
and S32, selecting the lighting lamp with the maximum target contrast according to the target contrast under the mesopic characteristics obtained in the step S31, and applying the lighting lamp to tunnel lighting.
Compared with the prior art, the invention has the following advantages:
1. according to the analysis of the lighting characteristics of mesopic vision, the invention provides a target contrast calculation method used in the mesopic vision characteristic scope in consideration of the lighting environment in the tunnel, and provides a theoretical basis for the selection of the tunnel lighting source.
2. According to the method for calculating the target contrast in the mesopic vision characteristic scope, the brightness of the target and the background and the target contrast in the mesopic vision characteristic scope are calculated, and meanwhile, the lighting lamp which enables the target contrast to be the maximum is selected, so that the maximum target contrast is guaranteed to be achieved under the same brightness environment, energy is saved, and driving safety is guaranteed.
3. The invention provides a target contrast calculation method used in the mesopic vision characteristic scope, which is applicable to the field of tunnel illumination, and the illumination brightness of the method is 1-10 cd/m2In the meantime.
Based on the reasons, the invention can be widely popularized in the fields of mesopic vision, tunnel illumination and the like.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of spectral radiance distributions of LED light sources with 3 color temperatures and 4 color renderings in an asphalt color background and a gray target respectively according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a contrast calculation process in the category of mesopic vision characteristics according to an embodiment of the present invention.
Fig. 4 is a graph of the calculated contrast ratio provided by the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical scheme of the invention is further explained by combining the drawings and the specific embodiments:
as shown in fig. 1, the present invention provides a method for calculating the contrast of an object in the category of mesopic vision characteristics, which in this embodiment comprises the following steps:
s1, measuring spectral power distribution curves of the target and the background surface under different illumination conditions; as shown in fig. 2, is the spectral power distribution curve for the radiation of an LED light source targeted for 3 color temperatures, 4 light source color rendering. The spectral power distribution curve measured in the step is mainly the spectral power distribution curve of the visible light part, namely the spectral power distribution curve of the 380nm-780nm part. The measured target and background spectral power distribution curves are respectively LTSPDAnd LBSPDIn the unit W.m-2·sr-1·nm-1。
S2, selecting a proper mesopic vision luminosity calculation model, calculating a spectral luminous efficiency function, and calculating the perceived brightness of the target and the background in the mesopic vision characteristic scope according to the spectral power distribution curve obtained by the step S1; fig. 3 shows the calculation of the perceived brightness of the object and background in the category of the mesopic vision characteristics. The method specifically comprises the following steps:
and S21, selecting an MES2 mesopic vision photometric calculation model according to the brightness inside the tunnel and considering the brightness application range of different mesopic vision photometric calculation models and the recommendation of the International Commission on illumination. The MES2 model was calculated as follows:
Lp＝∫683V(λ)LSPD(λ)dλ (1)
Figure BDA0002773586770000041
Figure BDA0002773586770000042
m2,n＝0.3334logLmes,n+0.767(0≤m2,n≤1) (4)
Figure BDA0002773586770000043
Figure BDA0002773586770000044
in the formula, Vmes(λ0555nm) denotes V at 555nmmes(λ) value; m is2Representing the luminance adaptation coefficient. V' (λ) represents a scotopic spectral sensitivity function value; v' (lambda)0) A value representing the scotopic spectral sensitivity function V' (λ) at 555nm, which is 683/1699; l ismesRepresents an intermediate brightness; m is2The value of (c) can be calculated by a series of interactions according to (5) and (6). n represents an iteration step; l ispRepresenting the luminance of an object in photopic vision in cd/m2(ii) a V (lambda) represents a photopic spectrum light effect function; the S/P value represents the light flux ratio of scotopic vision and photopic vision of the light source under different color observation targets; l isSPDRepresenting a spectral power distribution curve; k is a radical ofmRepresenting a maximum spectral light performance corresponding to mesopic luminance;
s22, the spectral power distribution curve L measured based on the step S1TSPD、LBSPDCalculating a mesopic vision spectral luminous efficiency curve V from the MES2 mesopic vision photometric calculation model formulas (1) - (6) selected in the step S21mesAnd km；
S23, based on the spectral power distribution curve measured in step S1 and the mesopic vision spectral luminous efficiency curve V calculated in step S22mesAnd kmCalculating the perceived luminance L of the target and the backgroundtAnd LbThe calculation formula is as follows:
Lt＝∫kmVmes(λ)LTSPD(λ)dλ (7)
Lb＝∫kmVmes(λ)LBSPD(λ)dλ (8)
and S3, calculating the target contrast in the mesopic vision characteristic scope based on the perceived brightness calculated in the step S2, and selecting the lighting lamp which enables the target contrast to be maximum according to the calculation result of the target contrast to be applied to tunnel lighting. The step S3 specifically includes:
s31, substituting the perceived brightness of the target and the background in the mesopic vision characteristic scope obtained in the step S2 into a contrast calculation formula, and calculating the target contrast under the mesopic vision characteristic; wherein, the calculation formula of the contrast is as follows:
Figure BDA0002773586770000051
and S32, selecting the lighting lamp with the maximum target contrast according to the target contrast under the mesopic characteristics obtained in the step S31, and applying the lighting lamp to tunnel lighting. The contrast ratio describes the brightness difference between the target and the background, and the larger the difference value is, the more easily the target is recognized by human eyes, so a light source with relatively larger target contrast ratio is selected as the tunnel interior lighting lamp. As shown in fig. 4, the target contrast calculation result calculated according to the formula (9) is given. In a tunnel lighting environment, a lighting fixture may be selected based on the results shown in fig. 4, with the lighting source selected to maximize the target contrast.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (4)

1. A method for calculating the contrast of an object in the category of mesopic vision characteristics, comprising the steps of:
s1, measuring spectral power distribution curves of the target and the background surface under different illumination conditions;
s2, selecting a proper mesopic vision luminosity calculation model, calculating a spectral luminous efficiency function, and calculating the perceived brightness of the target and the background in the mesopic vision characteristic scope according to the spectral power distribution curve obtained by the step S1;
and S3, calculating the target contrast in the mesopic vision characteristic scope based on the perceived brightness calculated in the step S2, and selecting the lighting lamp which enables the target contrast to be maximum according to the calculation result of the target contrast to be applied to tunnel lighting.
2. The method for calculating the contrast of an object in the category of mesopic vision characteristics as claimed in claim 1, wherein said step S1 specifically comprises: spectral power distribution curves of the target and the background surface under different light color conditions are respectively measured by using a spectroradiometer, and the same ambient brightness is ensured in the measurement process.
3. The method for calculating the contrast of an object in the category of mesopic vision characteristics as claimed in claim 1, wherein said step S2 specifically comprises:
and S21, selecting an MES2 mesopic vision photometric calculation model according to the brightness inside the tunnel and considering the brightness application range of different mesopic vision photometric calculation models.
S22, calculating a mesopic vision spectral luminous efficacy curve based on the spectral power distribution curve measured in the step S1 and the MES2 mesopic vision photometric calculation model selected in the step S21;
s23, calculating the perceived brightness of the target and the background based on the spectral power distribution curve measured in step S1 and the mesopic vision spectral luminous efficiency curve calculated in step S22.
4. The method for calculating the contrast of an object in the category of mesopic vision characteristics as claimed in claim 1, wherein said step S3 specifically comprises:
s31, substituting the perceived brightness of the target and the background in the mesopic vision characteristic scope obtained in the step S2 into a contrast calculation formula, and calculating the target contrast under the mesopic vision characteristic;
and S32, selecting the lighting lamp with the maximum target contrast according to the target contrast under the mesopic characteristics obtained in the step S31, and applying the lighting lamp to tunnel lighting.
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Citations (3)

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Publication number Priority date Publication date Assignee Title
CN101813518A (en) * 2009-09-03 2010-08-25 杭州远方光电信息有限公司 Method and device for measuring photometric quantity of mesopic vision
CN108053451A (en) * 2017-11-28 2018-05-18 深圳大学 Color computational methods and system under a kind of state based on mesopic vision
CN109752089A (en) * 2019-01-28 2019-05-14 大连海事大学 A kind of brightness calculation method based on mesopic vision characteristic and light source mist transmitting

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101813518A (en) * 2009-09-03 2010-08-25 杭州远方光电信息有限公司 Method and device for measuring photometric quantity of mesopic vision
CN108053451A (en) * 2017-11-28 2018-05-18 深圳大学 Color computational methods and system under a kind of state based on mesopic vision
CN109752089A (en) * 2019-01-28 2019-05-14 大连海事大学 A kind of brightness calculation method based on mesopic vision characteristic and light source mist transmitting

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
秦莉: "公路隧道照明系统智能控制的关键技术研究", 中国博士学位论文全文数据库（工程科技Ⅱ辑）, no. 5, pages 034 - 32 *

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