CN112351543A - Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category - Google Patents

Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category Download PDF

Info

Publication number
CN112351543A
CN112351543A CN202011255489.9A CN202011255489A CN112351543A CN 112351543 A CN112351543 A CN 112351543A CN 202011255489 A CN202011255489 A CN 202011255489A CN 112351543 A CN112351543 A CN 112351543A
Authority
CN
China
Prior art keywords
visual
biological effect
spectrum
mesopic vision
alertness
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011255489.9A
Other languages
Chinese (zh)
Other versions
CN112351543B (en
Inventor
董丽丽
刘鹏
蒋颖琪
许文海
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dalian Maritime University
Original Assignee
Dalian Maritime University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dalian Maritime University filed Critical Dalian Maritime University
Priority to CN202011255489.9A priority Critical patent/CN112351543B/en
Publication of CN112351543A publication Critical patent/CN112351543A/en
Application granted granted Critical
Publication of CN112351543B publication Critical patent/CN112351543B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/30—Driver circuits
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/10—Controlling the intensity of the light
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/20—Controlling the colour of the light

Landscapes

  • Eye Examination Apparatus (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention provides a non-visual optical biological effect evaluation method for a mesopic vision category, which considers alertness and comprises the following steps: s1, constructing a mesopic vision spectrum light visual efficiency calculation model and a non-visual light biological effect model; s2, calculating a mesopic vision effect value and a non-visual photo-biological effect value based on the mesopic vision spectrum luminous efficiency calculation model and the non-visual photo-biological effect model; further calculating the ratio of the non-visual photo-biological effect value to the mesopic vision effect value; and S3, selecting the illumination light source according to the light source brightness and the light spectrum of the actual illumination environment, by utilizing the ratio of the non-visual photo-biological effect value to the mesopic vision effect value and combining the alertness degree of the illumination environment. From the angle of the optical biological effect, the invention researches the spectrum composition capable of improving the alertness of the driver, thereby providing a safe and comfortable illumination environment for the road tunnel traffic and simultaneously providing a theoretical basis for the formulation of the future tunnel illumination detailed rules.

Description

Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category
Technical Field
The invention relates to the technical field of mesopic vision and road lighting, in particular to a non-visual light biological effect evaluation method considering alertness and used in the mesopic vision category.
Background
Fatigue and drowsiness are one of the main causes of driving accidents. The investigation shows that in China, up to 9 thousands of people die or are seriously injured due to fatigue driving related accidents every year, and the extra-large traffic accidents caused by the fatigue driving are more than 40 percent. Due to the characteristic of semi-closed space, the visual oppression and monotonous environment of the highway tunnel can easily aggravate the fatigue degree and the dysphoric mood of drivers, so that the alertness, the inattention and the expression of the drivers are reduced. When a driver drives a vehicle to pass through the interior of the tunnel, natural light does not provide illumination, and information can be captured only by means of the illumination environment provided by the illumination lamp in the tunnel. Therefore, a good lighting environment inside the tunnel is important. The traditional tunnel lighting design only focuses on whether a driver can distinguish a front obstacle or not, and the unreasonable design of the tunnel light environment is not considered, so that the driver generates bad physiological and psychological phenomena. Researches show that the illumination not only provides visual information for people, but also generates non-visual photobiological effect, and influences a plurality of physiological and behavioral processes such as biological rhythm, brain cognition and the like. Therefore, based on the theory of non-visual light biological effect and influence of illumination, research on a light source capable of relieving fatigue of a driver and improving alertness becomes one of the current research directions for improving tunnel illumination safety.
In the current study, the influence of the spectrum on the human biological effect at night mesopic luminance is rarely studied. When the vehicle is driven at night, the driver is drowsy, and accidents are easy to happen due to the influence of the tunnel environment, so that the driver alertness is necessary to be improved by adjusting the spectrum.
Disclosure of Invention
In view of the above-mentioned technical problems, a non-visual photobiological effect evaluation method for the mesopic vision category considering alertness is provided. The invention starts from the angle of the photo-biological effect, researches the spectrum composition capable of improving the alertness of a driver, thereby providing a safe and comfortable illumination environment for road tunnel traffic and simultaneously providing some theoretical bases for the formulation of future tunnel illumination rules.
The technical means adopted by the invention are as follows:
a non-visual photobiological effect assessment method for the mesopic vision domain taking alertness into account, comprising:
s1, constructing a mesopic vision spectrum light visual efficiency calculation model and a non-visual light biological effect model;
s2, calculating a mesopic vision effect value and a non-visual photo-biological effect value based on the constructed mesopic vision spectrum luminous efficiency calculation model and the non-visual photo-biological effect model; further calculating the ratio of the non-visual photo-biological effect value to the mesopic vision effect value;
and S3, selecting the illumination light source according to the light source brightness and the light spectrum of the actual illumination environment and by utilizing the ratio of the non-visual photo-biological effect value and the mesopic vision effect value calculated in the step S2 and combining the alertness degree of the illumination environment.
Further, the step S1 specifically includes:
s11, constructing a mesopic vision spectrum luminous efficiency calculation model:
s111, measuring the spectrum of the illumination light source in the visible light range by using a spectral radiometer, wherein the unit is W.m-2·sr-1·nm-1；
S112, calculating the brightness and the scotopic brightness of the light source according to the spectral radiation distribution of the light source, wherein the calculation formula is as follows:
Figure BDA0002772984740000021
Figure BDA0002772984740000022
in the formula, V' (λ) represents a scotopic vision spectral luminous efficiency function; km' represents the peak of the photopic efficiency function of the scotopic vision spectrum; v (lambda) represents a photopic vision spectral luminous efficiency function; kmRepresenting the photopic vision spectrum photopic efficiency function peak value; l ised(λ) represents a light source spectrum; l isSIndicating brightness, LPIndicating a scotopic brightness;
s113, iterating the brightness and the dark brightness of the light source obtained in the step S112 to obtain an iteration result, wherein the calculation formula is as follows:
Figure BDA0002772984740000023
m2,n＝0.3334logLmes,n+0.767,0≤m2,n≤1 (4)
in the formula, formulas (3) and (4) represent an iterative process; n represents an iteration step;
s114, calculating an equivalent mesopic vision spectrum luminous efficiency function based on the photopic vision spectrum luminous efficiency function, the scotopic spectrum luminous efficiency function and the iteration result of the step S113, wherein the calculation formula is as follows:
Figure BDA0002772984740000031
in the formula, m2,endRepresenting the final iteration result; vmes(λ) represents the mesopic vision spectral luminous efficiency curve in lm/W;
s12, constructing a non-visual photo-biological effect model:
a non-visual photo-biological effect sensitivity model based on melatonin suppression is established by respectively measuring the suppression amount of single wavelength on the melatonin of a human body.
Further, the step S2 specifically includes:
s21, obtaining an intermediate vision spectrum luminous efficiency curve V through the intermediate vision spectrum luminous efficiency calculation modelmes(λ); by the saidObtaining a non-visual photo-biological effect sensitive curve C by using a non-visual photo-biological effect modelnbe；
S22 light visual efficiency curve V based on mesopic vision spectrummes(λ), calculating the mesopic vision effect value by the following formula:
Figure BDA0002772984740000032
s23 sensitivity curve C based on non-visual light biological effectnbeAnd calculating a non-visual photo-biological effect value according to the following calculation formula:
Figure BDA0002772984740000033
s24, calculating the ratio M/N of the non-visual light biological effect value to the mesopic vision effect value, namely:
Figure BDA0002772984740000034
M/N is a biological rhythm factor and represents the degree of alertness of non-visual photobiological effect.
Further, the step S3 specifically includes:
s31, obtaining the intensity of the influence of the alertness light source on the non-visual photo-biological effect of the human according to the light source brightness and the spectral characteristics of the actual lighting environment;
and S32, selecting the illumination light source according to the strength of the influence of the alertness light source on the human non-visual photobiological effect obtained in the step S31.
Compared with the prior art, the invention has the following advantages:
1. the invention provides a non-visual light biological effect evaluation method for the mesopic vision category considering alertness according to the analysis of the lighting characteristics and alertness of the mesopic vision, and provides a theoretical basis for the selection of a lighting source.
2. According to the non-visual light biological effect evaluation method considering alertness and used in the mesopic vision category, the influence of the light source spectrum under mesopic vision brightness on alertness is reflected according to the calculated non-visual light biological effect, and the illumination light source with higher non-visual light biological effect is selected according to the calculation result, so that the alertness of a driver can be improved under the condition of not changing the illumination brightness, energy is saved, and the driving safety is ensured.
Based on the reasons, the invention can be widely popularized in the fields of mesopic vision, road lighting and the like.
Drawings
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 distribution of an LED light source with 7 different color temperatures and 4 different color renderings according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of calculating biorhythm factor values of 7 LED lamps with different color temperatures and 4 different color rendering properties according to an 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, the present invention provides a method for assessing non-visual photobiological effects in the mesopic vision domain in consideration of alertness, comprising:
s1, constructing a mesopic vision spectrum light visual efficiency calculation model and a non-visual light biological effect model;
in a specific implementation, as a preferred embodiment of the present invention, the step S1 specifically includes:
s11, constructing a mesopic vision spectrum luminous efficiency calculation model:
s111, measuring the spectrum of the illumination light source in the visible light range by using a spectral radiometer, wherein the unit is W.m-2·sr-1·nm-1(ii) a FIG. 2 is a schematic diagram showing the spectral radiance distribution of LED light source with 7 color temperatures and 4 color renderings
S112, calculating the brightness and the scotopic brightness of the light source according to the spectral radiation distribution of the light source, wherein the calculation formula is as follows:
Figure BDA0002772984740000061
Figure BDA0002772984740000062
in the formula, V' (λ) represents scotopic vision lightA spectral luminous efficiency function; km' represents the peak of the photopic efficiency function of the scotopic vision spectrum; v (lambda) represents a photopic vision spectral luminous efficiency function; kmRepresenting the photopic vision spectrum photopic efficiency function peak value; l ised(λ) represents a light source spectrum; l isSIndicating brightness, LPIndicating a scotopic brightness;
s113, iterating the brightness and the dark brightness of the light source obtained in the step S112 to obtain an iteration result, wherein the calculation formula is as follows:
Figure BDA0002772984740000063
m2,n＝0.3334logLmes,n+0.767,0≤m2,n≤1 (4)
in the formula, formulas (3) and (4) represent an iterative process; n represents an iteration step;
s114, calculating an equivalent mesopic vision spectrum luminous efficiency function based on the photopic vision spectrum luminous efficiency function, the scotopic spectrum luminous efficiency function and the iteration result of the step S113, wherein the calculation formula is as follows:
Figure BDA0002772984740000071
in the formula, m2,endRepresenting the final iteration result; vmes(λ) represents the mesopic vision spectral luminous efficiency curve in lm/W;
s12, constructing a non-visual photo-biological effect model:
the selection of the non-visual photo-biological effect model suitable for alertness evaluation needs to consider the correlation between the model and alertness. Studies suggest that the nocturnal light-induced alertness is primarily through acute suppression of melatonin by intrinsically photosensitive retinal ganglion cells in the human eye. The intrinsically photosensitive retinal ganglion cells can transmit sensed light signals to the hypothalamic suprachiasmatic nucleus, thereby controlling the secretion of pineal gland melatonin. Melatonin can increase fatigue, accelerate the onset of drowsiness, lead to poor responsiveness and judgment, and affect autonomic function. A non-visual photo-biological effect sensitivity model based on melatonin suppression is established by respectively measuring the suppression amount of single wavelength on the melatonin of a human body.
S2, calculating a mesopic vision effect value and a non-visual photo-biological effect value based on the constructed mesopic vision spectrum luminous efficiency calculation model and the non-visual photo-biological effect model; further calculating the ratio of the non-visual photo-biological effect value to the mesopic vision effect value;
in a specific implementation, as a preferred embodiment of the present invention, the step S2 specifically includes:
s21, obtaining an intermediate vision spectrum luminous efficiency curve V through the intermediate vision spectrum luminous efficiency calculation modelmes(λ); obtaining a non-visual photo-biological effect sensitivity curve C through the non-visual photo-biological effect modelnbe；
S22 light visual efficiency curve V based on mesopic vision spectrummes(λ), calculating the mesopic vision effect value by the following formula:
Figure BDA0002772984740000072
s23 sensitivity curve C based on non-visual light biological effectnbeAnd calculating a non-visual photo-biological effect value according to the following calculation formula:
Figure BDA0002772984740000073
s24, calculating the ratio M/N of the non-visual light biological effect value to the mesopic vision effect value, namely:
Figure BDA0002772984740000081
M/N is a biological rhythm factor and represents the degree of alertness of non-visual photobiological effect.
And S3, selecting the illumination light source according to the light source brightness and the light spectrum of the actual illumination environment and by utilizing the ratio of the non-visual photo-biological effect value and the mesopic vision effect value calculated in the step S2 and combining the alertness degree of the illumination environment.
In a specific implementation, as a preferred embodiment of the present invention, the step S3 specifically includes:
s31, obtaining the intensity of the influence of the alertness light source on the non-visual photo-biological effect of the human according to the light source brightness and the spectral characteristics of the actual lighting environment; FIG. 2 is a schematic diagram showing the spectral radiance distribution of 7 LED light sources with different color temperatures and 4 different color renderings selected by the present invention;
s32, selecting the illumination light source according to the intensity of the light source considering alertness, which is obtained in the step S31, on the influence of the human non-visual photobiological effect;
fig. 3 is a schematic diagram of biorhythm factor values calculated for 7 LED light source lamps with different color temperatures and 4 different color renderings selected according to fig. 2. Under a specific lighting application scene, an appropriate lighting source can be selected according to the alertness degree of the lighting environment and the biorhythm factor corresponding to the color temperature and the color rendering property shown in fig. 3. In places needing to improve human alertness, such as workplaces and traffic lighting areas, light sources with strong influence on non-visual light biological effects, namely light sources with large biological rhythm factors, can be selected; in places where it is desired to reduce alertness of a person, such as sleeping areas or resting areas, where relaxation of the person is desired, a light source with a weak influence on the non-visual light biological effect, i.e. a light source with a small biological rhythm factor, may be selected.
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 assessing non-visual photobiological effects in the mesopic vision domain with attention paid to alertness, comprising:
s1, constructing a mesopic vision spectrum light visual efficiency calculation model and a non-visual light biological effect model;
s2, calculating a mesopic vision effect value and a non-visual photo-biological effect value based on the constructed mesopic vision spectrum luminous efficiency calculation model and the non-visual photo-biological effect model; further calculating the ratio of the non-visual photo-biological effect value to the mesopic vision effect value;
and S3, selecting the illumination light source according to the light source brightness and the light spectrum of the actual illumination environment and by utilizing the ratio of the non-visual photo-biological effect value and the mesopic vision effect value calculated in the step S2 and combining the alertness degree of the illumination environment.
2. The method for assessing non-visual biological effects in the mesopic vision domain based on alertness as claimed in claim 1, wherein the step S1 specifically comprises:
s11, constructing a mesopic vision spectrum luminous efficiency calculation model:
s111, measuring the spectrum of the illumination light source in the visible light range by using a spectral radiometer, wherein the unit is W.m-2·sr-1·nm-1；
S112, calculating the brightness and the scotopic brightness of the light source according to the spectral radiation distribution of the light source, wherein the calculation formula is as follows:
Figure FDA0002772984730000011
Figure FDA0002772984730000012
in the formula, V' (λ) represents scotopic visionA visual spectrum photopic efficiency function; km' represents the peak of the photopic efficiency function of the scotopic vision spectrum; v (lambda) represents a photopic vision spectral luminous efficiency function; kmRepresenting the photopic vision spectrum photopic efficiency function peak value; l ised(λ) represents a light source spectrum; l isSIndicating brightness, LPIndicating a scotopic brightness;
s113, iterating the brightness and the dark brightness of the light source obtained in the step S112 to obtain an iteration result, wherein the calculation formula is as follows:
Figure FDA0002772984730000013
m2,n＝0.3334logLmes,n+0.767,0≤m2,n≤1 (4)
in the formula, formulas (3) and (4) represent an iterative process; n represents an iteration step;
s114, calculating an equivalent mesopic vision spectrum luminous efficiency function based on the photopic vision spectrum luminous efficiency function, the scotopic spectrum luminous efficiency function and the iteration result of the step S113, wherein the calculation formula is as follows:
Figure FDA0002772984730000021
in the formula, m2,endRepresenting the final iteration result; vmes(λ) represents the mesopic vision spectral luminous efficiency curve in lm/W;
s12, constructing a non-visual photo-biological effect model:
a non-visual photo-biological effect sensitivity model based on melatonin suppression is established by respectively measuring the suppression amount of single wavelength on the melatonin of a human body.
3. The method for assessing non-visual biological effects in the mesopic vision domain based on alertness as claimed in claim 1, wherein the step S2 specifically comprises:
s21, byObtaining an intermediate vision spectrum luminous efficiency curve V by an intermediate vision spectrum luminous efficiency calculation modelmes(λ); obtaining a non-visual photo-biological effect sensitivity curve C through the non-visual photo-biological effect modelnbe；
S22 light visual efficiency curve V based on mesopic vision spectrummes(λ), calculating the mesopic vision effect value by the following formula:
Figure FDA0002772984730000022
s23 sensitivity curve C based on non-visual light biological effectnbeAnd calculating a non-visual photo-biological effect value according to the following calculation formula:
Figure FDA0002772984730000023
s24, calculating the ratio M/N of the non-visual light biological effect value to the mesopic vision effect value, namely:
Figure FDA0002772984730000024
M/N is a biological rhythm factor and represents the degree of alertness of non-visual photobiological effect.
4. The method for assessing non-visual biological effects in the mesopic vision domain based on alertness as claimed in claim 1, wherein the step S3 specifically comprises:
s31, obtaining the intensity of the influence of the alertness light source on the non-visual photo-biological effect of the human according to the light source brightness and the spectral characteristics of the actual lighting environment;
and S32, selecting the illumination light source according to the strength of the influence of the alertness light source on the human non-visual photobiological effect obtained in the step S31.
CN202011255489.9A 2020-11-11 2020-11-11 Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category Active CN112351543B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011255489.9A CN112351543B (en) 2020-11-11 2020-11-11 Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011255489.9A CN112351543B (en) 2020-11-11 2020-11-11 Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category

Publications (2)

Publication Number Publication Date
CN112351543A true CN112351543A (en) 2021-02-09
CN112351543B CN112351543B (en) 2023-03-14

Family

ID=74363446

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011255489.9A Active CN112351543B (en) 2020-11-11 2020-11-11 Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category

Country Status (1)

Country Link
CN (1) CN112351543B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113515844A (en) * 2021-04-22 2021-10-19 浙江大学 Light source alertness characterization method, device and medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105510003A (en) * 2015-12-28 2016-04-20 深圳大学 Comprehensive evaluation optimization method and comprehensive evaluation optimization system for light source vision and non-vision effect performance
US20180106675A1 (en) * 2015-05-13 2018-04-19 Shenzhen University System and Method for Light Optimization
CN108119821A (en) * 2017-12-19 2018-06-05 深圳大学 A kind of lighting system that can inhibit Driver Vision fatigue

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180106675A1 (en) * 2015-05-13 2018-04-19 Shenzhen University System and Method for Light Optimization
CN105510003A (en) * 2015-12-28 2016-04-20 深圳大学 Comprehensive evaluation optimization method and comprehensive evaluation optimization system for light source vision and non-vision effect performance
CN108119821A (en) * 2017-12-19 2018-06-05 深圳大学 A kind of lighting system that can inhibit Driver Vision fatigue

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
周晓明 等: "不同年龄群体的光生物效应评价方式", 《发光学报》 *
张晓芹等: "公路隧道照明设置理论与评价方法现状分析", 《公路》 *
陈晓利等: "基于反应时间的中间视觉光度学模型研究", 《中国交通信息化》 *
饶丰等: "基于Matlab的中间视觉模型的构建", 《照明工程学报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113515844A (en) * 2021-04-22 2021-10-19 浙江大学 Light source alertness characterization method, device and medium

Also Published As

Publication number Publication date
CN112351543B (en) 2023-03-14

Similar Documents

Publication Publication Date Title
JP4928054B2 (en) Method for controlling attention of human subject and light source used in this method
WO2017181726A1 (en) Method for estimating visual performance with respect to target object in different lighting environments
Webb Considerations for lighting in the built environment: Non-visual effects of light
KR101906481B1 (en) Lighting systems for protecting circadian neuroendocrine function
EP2419164B1 (en) Illumination device and method for reducing sleep inertia or controlling alertness
Liu et al. The impact of LED spectrum and correlated color temperature on driving safety in long tunnel lighting
Risner et al. Behavioral spectral sensitivity of the zebrafish (Danio rerio)
Hammond Jr et al. The influence of filtering by the macular carotenoids on contrast sensitivity measured under simulated blue haze conditions
Ticleanu Impacts of home lighting on human health
WO2008146219A1 (en) Method and system for providing illumination and physiological stimuli
CN112351543B (en) Alertness-considered non-visual optical biological effect evaluation method for mesopic vision category
Colaco et al. Color characterization of multicolor multichip LED luminaire for indoor
TW202223497A (en) Spectral glare control eyewear for color blindness and low vision assistance
JP2010162214A (en) Light irradiation apparatus
Baczynska et al. Efficacy and ocular safety of bright light therapy lamps
US20120271384A1 (en) Device for Preventing or Ameliorating Seasonal Affective Disorder
Chen et al. Effects of flicker with various brightness contrasts on visual fatigue in road lighting using fixed low-mounting-height luminaires
Vicente et al. Effect of correlated color temperature and S/P-ratio of LED light sources on reaction time in off-axis vision and mesopic lighting levels
Good Light and eye damage
Mitropoulos et al. Blue light reducing software applications for mobile phone screens: measurement of spectral characteristics and biological parameters
Martinsons et al. Potential health issues of solid-state lighting
Sanford et al. The effects of ultraviolet‐A radiation on visual evoked potentials in the young human eye
Martinsons Photobiological safety
Rossi et al. Evaluation of artificial light with respect to human health
Pawlak Evaluation of the hazard caused by blue light emitted by LED sources

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant