WO2016066019A1 - Safe visual recognition-based method for standard measurement/calculation of daytime tunnel entrance section illumination, and system thereof - Google Patents

Safe visual recognition-based method for standard measurement/calculation of daytime tunnel entrance section illumination, and system thereof Download PDF

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Publication number
WO2016066019A1
WO2016066019A1 PCT/CN2015/091963 CN2015091963W WO2016066019A1 WO 2016066019 A1 WO2016066019 A1 WO 2016066019A1 CN 2015091963 W CN2015091963 W CN 2015091963W WO 2016066019 A1 WO2016066019 A1 WO 2016066019A1
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WIPO (PCT)
Prior art keywords
tunnel
brightness
entrance section
tunnel entrance
measuring device
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PCT/CN2015/091963
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French (fr)
Chinese (zh)
Inventor
胡江碧
郭达
任仁
陈尚江
李然
李晓宇
张元峰
张晓芹
马文倩
王猛
高林熹
高小娟
刘峰
Original Assignee
北京工业大学
贵州高速公路集团有限公司
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Publication of WO2016066019A1 publication Critical patent/WO2016066019A1/en

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    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10Controlling the light source
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M11/00Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21DSHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
    • E21D9/00Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
    • E21D9/14Layout of tunnels or galleries; Constructional features of tunnels or galleries, not otherwise provided for, e.g. portals, day-light attenuation at tunnel openings
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F17/00Methods or devices for use in mines or tunnels, not covered elsewhere
    • E21F17/18Special adaptations of signalling or alarm devices

Definitions

  • the invention relates to the technical field of road tunnel illumination, in particular to a method and a system for calculating a lighting standard of a daytime tunnel entrance section based on safety visual recognition.
  • the purpose of highway tunnel lighting is to create a good light environment for safe and efficient tunnel traffic operation, ensure tunnel visibility and driver visibility, meet the driver's need to quickly obtain a large amount of information from the environment, and prevent visual information from being insufficient. Causing a traffic accident.
  • the lighting conditions of the tunnel entrance section during the day have a direct impact on the driver's visual characteristics. When the lighting level design is unreasonable, the light environment inside and outside the tunnel will change drastically, and the “black hole effect” will appear, which will cause the driver to appear visual hysteresis, which will lead to driving difficulties and tension and take the wrong driving behavior, which will easily induce traffic accidents. .
  • the design of the illumination of the entrance section during the day is proposed, but there are also problems.
  • the object of the present invention is to solve the above technical defects existing in the prior art, and provide a method for calculating a tunnel entrance section illumination standard based on visual security, which has multiple indicators, dynamic measurement, high reliability, and meets the actual needs of the driver.
  • the invention also provides a system for realizing a compact and easy-to-implement method for calculating a tunnel entrance section illumination standard based on visual security.
  • the system provides various optical environment variables and can dynamically measure these variables, thereby overcoming the traditional calculation. Single system indicator, low reliability of static detection, Technical defects that do not meet the actual driving needs.
  • a first aspect of the present invention provides a method for calculating a daylight tunnel entrance section illumination standard based on security visual recognition, the method comprising the following steps: (a) setting a light environment in a tunnel entrance section The parameter includes setting a color temperature in the tunnel to be T 0 , setting a color rendering index to Ra 0, and an average brightness in the tunnel entrance segment to be L; (b) determining a feature position in the tunnel, wherein the feature position in the tunnel is from the feature location At the beginning of the tunnel, the brightness of the road surface remains unchanged, and the average road surface brightness L of the characteristic position in the tunnel is measured; (c) the target object is placed at the characteristic position in the tunnel, so that the driver can drive from outside the tunnel at different speeds.
  • the motor vehicle travels toward the target to obtain the visual distance D required for the driver to find the target at different speeds, and measures the road surface brightness L 20 at which the driver finds the target.
  • luminance reduction coefficient K L L 20 is the ratio of; (d) resetting the tunnel entrance average surface brightness L, and repeating steps (b) and (c), thereby acquiring a plurality of sets corresponding to different average surface brightness visually recognized From D and the corresponding brightness reduction coefficient K; (e) according to the obtained multiple sets of viewing distance D and the corresponding brightness reduction coefficient K, using the Sigmoid function model to calculate and fit the data of multiple sets of D and K,
  • the relationship model between D and K is (f) Substituting the safe parking line of sight D 0 at the design maximum speed limit rate of the tunnel into the model formula to obtain the minimum brightness reduction factor K 0 required for the day tunnel entrance section.
  • the following steps are further performed to further correct the minimum brightness reduction coefficient K 0 required for the day tunnel entrance segment: (g) setting the tunnel entrance segment color temperature to T 0 and color rendering The index is Ra 0 ; (h) determining the feature position in the tunnel, the feature position in the tunnel is that the brightness of the light in the tunnel remains unchanged from the feature position, and the target object is placed at the feature position in the tunnel.
  • the motor vehicle is parked at a safe parking distance D 0 from the target; (i) the driver is allowed to enter the motor vehicle cab, and the average road surface brightness L of the tunnel entrance section is adjusted to be small to large.
  • the driver finds the minimum static brightness value L f required for the target, and simultaneously measures the average road surface L 20 at the safe parking distance D 0 outside the tunnel opening, and obtains the static minimum brightness reduction factor K f as L and L. a ratio of 20 ; (j) resetting at least one of the color temperature and the color rendering index of the tunnel entry segment, and repeating steps (h) and (i) to obtain a static minimum luminance reduction corresponding to the color temperature and the color rendering index Coefficient K f , the color temperature is T 0 , coloration refers to The static minimum brightness reduction factor K f corresponding to the number Ra 0 is the reference J, and the static minimum brightness reduction factor K f corresponding to the color temperature and the color rendering index is compared with J, and the color temperature corresponding to the color rendering index is obtained.
  • the visual correction coefficient a; the minimum brightness reduction coefficient K 0d of the tunnel entrance section under different light environments is obtained as the product of a and K 0 .
  • a system for implementing a daylight tunnel entrance section lighting standard estimation method based on security visual recognition includes a tunnel entrance section subsystem including an adjustable output installed in a tunnel entrance section a lighting device for setting a tunnel light environment; a test subsystem comprising a motor vehicle, a target object, an in-hole brightness measuring device, an external beam brightness measuring device, a color temperature measuring device, a color rendering index measuring device, The speed measuring device and the distance measuring device are composed for dynamic testing and static testing and data acquisition thereof; and a data computing subsystem including a computer system for fitting and processing the collected data.
  • the method and system of the present invention considers the safety standard of driving and visual recognition, and combines the visual recognition characteristics of the driver in the actual dynamic driving process to obtain the lighting standard that satisfies the driver's safety visual recognition requirements in different light environments, in order to realize Safe, comfortable and reasonable light environment setting for the entrance section of the tunnel during the day.
  • This method makes up for the blank of the lighting indicators of the tunnel entrance section from the perspective of driving visual recognition requirements; on the other hand, it can help create a good, reliable and safe visual environment to ensure that the driver can safely and comfortably approach and cross at the design speed. And through the tunnel, reduce the risk of tunnel traffic and the energy and cost of tunnel lighting.
  • the lighting energy saving and traffic safety of the tunnel entrance section can be achieved.
  • FIG. 1 is a schematic view showing an embodiment of a method for measuring a daylight tunnel entrance section illumination standard based on security visual recognition
  • FIG. 2 is a schematic cross-sectional view showing an embodiment of a method for measuring a daylight tunnel entrance section illumination standard based on a security view
  • FIG. 3 is a flow chart of a method for calculating a daylight tunnel entrance section lighting standard based on security visualization
  • Figure 4 is a flow chart of a method for measuring the illumination standard of a daytime tunnel entrance section based on security visualization.
  • tunnel entrance section 101 tunnel entrance 102 characteristic location within the tunnel 103 target 104 machine Motor train
  • FIGS. 1 and 2 are schematic diagrams showing an embodiment of a method for estimating a daylight tunnel entry segment illumination standard based on a security view provided by the present invention.
  • the object of the present invention is to provide a lighting standard measurement method for a daytime tunnel entrance section, to calculate a ratio of road surface brightness between the daytime tunnel entrance section 100 and the tunnel outside the tunnel in different light environments, that is, the brightness reduction inside and outside the tunnel.
  • the coefficient in turn, can provide a reference for the lighting design of the tunnel entrance section according to the driving design requirements of different tunnels to ensure the driver's driving safety.
  • the light environment is complex, both natural light and artificial light.
  • color temperature, color rendering index and average road surface brightness are used as light environment parameters.
  • a characteristic surface can be selected to represent the tunnel entrance. The light environment within segment 100, the location of which is located at the beginning of the stable portion of the optical environment within the tunnel.
  • the light environment parameter of the tunnel entrance section is first set.
  • the values of the color temperature, the color rendering index, and the average road surface brightness in the tunnel entrance section are set. .
  • the characteristic position 102 in the tunnel is determined. Specifically, the brightness in the tunnel is measured by using a luminance meter, and the brightness value at the road surface is measured from the tunnel opening 101 to each interval of 1 m in the tunnel. When the detected brightness value does not change any more.
  • the location is recorded, which is the in-tunnel feature 102.
  • the cross section of the road where the feature 102 in the tunnel is located is a critical section of the boundary between the light environment inside and outside the tunnel, and this feature section is taken as the position where the object 103 is placed.
  • the average brightness of a region within the in-tunnel feature 102 is used as a representative value of the road surface brightness.
  • the brightness of the plurality of position points 110 spaced horizontally by 1 m on the roadway boundary line 109, the roadway edge line 108, and the roadway intermediate line 107 between the adjacent lighting devices 106 within the feature position 102 within the tunnel, respectively, is measured.
  • the average road surface brightness is recorded and further calculated, and the average road surface brightness is a road surface brightness representation value of the feature position 102 within the tunnel.
  • the in-tunnel area selected to calculate the average road surface brightness is a section of the in-tunnel direction measured by the position of the in-tunnel feature 102. Specific measurement distance example For example, the distance between two adjacent lighting devices in the tunnel.
  • a target is placed at the cross section of the road where the location of the feature 102 in the tunnel is located, and the driver drives the motor vehicle 104 to enter the tunnel at different driving speeds, and the target in the tunnel entrance section is visually recognized by the tunnel outside the driving process.
  • the object 103 collects the visual distance D of the driver at different driving speeds, that is, the distance from the target when the target is found.
  • the driver sits in the motor vehicle with an average height of about 1.2 m.
  • the running speed of the driver's driving and the position of the vehicle when the target is found are recorded by the non-contact speed meter of the motor vehicle, that is, the position is the out-of-tunnel feature position 105, and the distance from the out-of-tunnel feature position 105 to the feature position 102 in the tunnel is measured. That is, the distance D is measured, and the method of measuring the visual distance by using the non-contact speed meter is to trigger the non-contact speed meter when the driver finds the target, and record the next position when the driver passes the feature position 102.
  • the non-contact speed meter is triggered again, and another position is recorded, and the difference between the two positions is the viewing distance D.
  • the light environment change in the tunnel is set to different brightness, and the driver drives the motor vehicle 104 to enter the tunnel at different driving speeds, and the target object 103 in the tunnel entrance segment is visually recognized by the tunnel outside during the driving process, and the collection is different.
  • the color rendering index is 70, and the higher the apparent color index of the experimental table is, the closer it is to the sunlight, the more favorable it is to visual recognition, that is, the higher the better.
  • a lower color rendering index 70 is selected, taking into account the most unfavorable extreme conditions, and the actual produced lamps are usually not lower than the color rendering index of 70, and thus are superior to the extreme case of the embodiment.
  • the color rendering index and color temperature in this test are selected as the measured values. This is because the general lamp will deviate from the factory-calibrated color temperature and color rendering index after actual installation.
  • the method of measuring the color rendering index and the color temperature is similar to the average brightness, and the average value can be measured after measuring multiple points.
  • the implementation steps of the method for calculating the daylight entry segment illumination standard based on the security view of the present invention are specifically given.
  • the specific steps are as follows:
  • Step 201 setting a light environment parameter in the tunnel, wherein the light environment parameter is a color temperature, a color rendering index, and an average road surface brightness, and setting a light environment illumination in the tunnel to a color temperature T 0 , a color rendering index Ra 0 , and a tunnel
  • the average road surface brightness L of the entrance section can be measured by using a spectroradiometer, and the average road surface brightness L of the tunnel entrance section can be measured by using a luminance meter or an illuminometer, and the illumination is used, and the average illumination is used.
  • the relationship between the average brightness that is, the average illuminance conversion factor, is used to obtain the brightness.
  • Step 202 Determine a feature position 102 in the tunnel, where the feature position 102 in the tunnel is a critical section of the boundary between the light environment inside and outside the tunnel, that is, from the ambient brightness in the tunnel from the location, and the characteristic position in the tunnel is measured. Average road surface brightness L.
  • the method for determining the feature position in the tunnel is to measure the brightness value at the road surface from the tunnel hole to a specific distance (for example, 1 m) in the tunnel, when the detected brightness value is no longer
  • the position is the feature position 102 in the tunnel.
  • the cross section of the road where the feature location is located is the critical section of the boundary between the light environment inside and outside the tunnel.
  • Step 203 placing the target object in the in-tunnel feature position 102, causing the driver to drive from the out-of-tunnel driving vehicle to the target object in the tunnel at different speeds, and collecting the respective viewing distance D for the target object 103 at each speed.
  • the driving speed can be measured by using a non-contact speed meter installed on a motor vehicle. And measuring the distance D 0 from the safe parking distance D 0 of the tunnel opening, the average brightness L 20 measured from the field of view of the hole at a distance of 1.50 m from the ground, and the brightness reduction factor K is the ratio of L to L 20 .
  • the driver is required to drive the motor vehicle 104 from the outside of the tunnel to the direction of the target in the tunnel, and visually recognize the target in the tunnel during driving, so that it can be easily and quickly
  • the target was found to be a criterion.
  • the vehicle position data can be collected, and the specific position of the motor vehicle 104 (ie, the extra-tunnel feature position 105) is marked by triggering the non-contact speed meter installed on the motor vehicle 104; when the motor vehicle 104 is traveling When the position of the object 103 is reached, the specific position of the motor vehicle 104 at this time (the intra-tunnel feature position 102) is again marked; the distance between the two positions is calculated, which is the visual distance D.
  • the specific position of the motor vehicle 104 ie, the extra-tunnel feature position 105
  • the specific position of the motor vehicle 104 at this time the intra-tunnel feature position 102
  • Step 204 Change the average road surface brightness of the light environment illumination in the tunnel, and repeat steps 202 and 203 to obtain a corresponding viewing distance D and a corresponding brightness reduction coefficient K of the plurality of different average road surface brightnesses.
  • Step 205 the data of the plurality of sets of viewing distance D and the corresponding brightness reduction coefficient K obtained in step 204 are fitted to the two sets of information by using the Sigmoid function model, and the parameter learning is performed by using the BFGS method in the quasi-Newton method.
  • the relationship model formula of D and K such as the relational model formula:
  • Step 206 Substituting the parking line of sight D 0 of the tunnel at the maximum speed limit speed into the above formula (1), and calculating the minimum brightness reduction coefficient K 0 required by the tunnel. Through the above calculation, the minimum brightness reduction coefficient at the maximum speed limit speed of the tunnel is satisfied, and the brightness value in the tunnel is set thereby, thereby ensuring the safety of the tunnel entrance section.
  • the object in the present embodiment of the present invention employs, for example, a gray cube having a reflectance of 20% and a shape of 20 cm ⁇ 20 cm ⁇ 20 cm.
  • the method for calculating the illumination standard of the daylight tunnel entrance segment based on the visual security of the present invention can further calculate the minimum brightness reduction coefficient K under different light environments of the entrance section of the daytime tunnel. 0d , further comprising a static measuring step, further correcting a minimum brightness reduction coefficient K 0 required for the day tunnel entrance segment, the static measuring step comprising the following steps,
  • Step 207 setting a tunnel light environment, including setting a color temperature of the tunnel light environment to be T 0 and a color rendering index to be Ra 0 ;
  • Step 208 determining a feature location 102 in the tunnel, placing the target object 103 at the feature location 102 in the tunnel, stopping the vehicle at a safe parking distance D 0 from the target, the safe parking distance D o Corresponding to the designed maximum speed limit speed of the tunnel;
  • Step 209 the driver is allowed to enter the cab of the motor vehicle 104 to perform a static test, and the average road surface brightness L of the tunnel entrance section 100 is adjusted to be small to large, and the driver is required to find the target object 103.
  • the minimum static brightness value L f and simultaneously measure the average brightness L 20 measured from the field of view of the hole at a distance of 1.50 m from the ground at 20 °, and obtain the static minimum brightness reduction factor K f as the ratio of L to L 20 .
  • the driver is seated upright in the motor vehicle 104 with a head height of, for example, 1.2 m.
  • the step of measuring the brightness outside the hole in the embodiment of the present invention uses an external beam brightness measuring device, the hole
  • the external brightness measuring device can be a light intensity detector, which can be erected at a safe parking distance from the tunnel opening 101, 1.5 at a distance from the ground, and facing the field of view of the tunnel opening at 20°.
  • Step 2010 resetting at least one of the color temperature and the color rendering index in the tunnel, and repeating steps 208 and 209 to obtain a static minimum brightness reduction coefficient K f corresponding to different color temperatures and color rendering indexes, and setting the color temperature to T 0 .
  • CRI Ra 0 corresponding to the minimum static luminance reduction factor K f as a reference J
  • different color temperature and color rendering index corresponding to the minimum static luminance as compared with the reduction factor K f J to obtain different color temperature and color rendering index
  • Corresponding visual correction factor a Corresponding visual correction factor a.
  • step 2011 the minimum brightness reduction coefficient K 0d of the daytime tunnel entrance section in different light environments is obtained as the product of a and K 0 .
  • the dynamic and static tests are performed under different light environments, and the minimum brightness reduction coefficient that satisfies the safe parking line of sight D 0 with different color rendering indexes and color temperatures is determined, and the driver is determined.
  • the minimum brightness reduction factor for the security view required by the tunnel during the day provides a reliable setting for the light environment for the safe viewing of the tunnel safety of the vehicle.
  • the model established according to the first embodiment of the present invention can be used for a calculation method of the brightness reduction coefficient based on the viewing distance (the distance between the motor vehicle 104 and the object 103 when the driver can find the object 103), and the following is Example of model specific application:
  • the expressway tunnel of a province has a total length of 555m, the design speed and the maximum speed limit are 80km/h, and the light color environment of the tunnel entrance section is color temperature 5700K, color rendering index 70, asphalt concrete pavement is paved in the tunnel.
  • the number of pilots employed in road visual cognition in the world has not reached consensus.
  • the quick discovery target 103 is a criterion for judging the driver's visibility of the target object 103.
  • the visual information of the driver when driving on the test section and the light environment information of the tunnel hole are respectively collected, and then the brightness reduction factor of the entrance section of the daytime tunnel is calculated according to the model of the present invention.
  • the driver visually recognizes the target in the tunnel under different tunnel entrance segment brightness reduction factors, and collects 22 samples, of which 15 are valid samples, as shown in Table 1.
  • Table 1 summarizes the dynamic visual recognition results of the daytime entry segment to establish a Sigmoid function model between the brightness reduction factor and the visual recognition distance.
  • Driving safety if the tunnel changes to the limit speed in the future, the minimum brightness reduction factor can also be obtained by the model between the brightness reduction factor and the viewing distance, see Table 2.
  • the present invention further determines the color temperature and performs static visual recognition to obtain a visual correction coefficient a, as shown in Table 3.
  • a minimum brightness reduction coefficient corresponding to different maximum speeds in different light environments is obtained.
  • the results are shown in Table 4.
  • the reduction factor is applicable to free-flow traffic conditions.
  • the present invention also provides a system for implementing a daylight tunnel entry section lighting standard measurement method based on visual security, comprising a tunnel entry section subsystem including an adjustable output power installed in the tunnel entrance section 100.
  • a lighting device for setting a tunnel light environment comprising a test subsystem comprising a motor vehicle 104, a target object 103, an in-hole brightness measuring device, an out-of-hole brightness measuring device, a color temperature measuring device, a color rendering index measuring device,
  • the speed measuring device and the distance measuring device are composed for dynamic testing and static testing and data acquisition thereof; and the data computing subsystem includes a computer system for fitting and processing the test data.
  • the lighting device in the tunnel entrance section subsystem, may It is set as a variety of lighting fixtures, and the color temperature, color rendering index and brightness of the light environment parameters are adjusted by the lighting fixtures.
  • the color temperature measuring device and the color rendering index measuring device are spectroscopic illuminometers, and the distance measuring device and the speed measuring device are integrated into one, which is a non-contact speed meter, which simplifies the system; the road surface brightness in the tunnel
  • the measuring device is a luminance meter or an illuminometer.
  • the brightness is obtained by obtaining a relationship between the average brightness and the average illuminance, that is, an average illuminance conversion coefficient.
  • the motor vehicle 104 is selected according to the most unfavorable principle, for example. small truck.
  • the position of the tunnel external brightness measuring device in the embodiment of the present invention is further described as a safe parking distance D 0 from the tunnel opening.
  • the external brightness measuring device is facing the field of view of the tunnel opening, and the brightness measuring device may be a light intensity detector or a brightness meter or other instrument.
  • the invention not only considers the light environment information in the tunnel, but also comprehensively considers the dynamic factors of the driver.
  • the minimum brightness reduction coefficient of the entrance section of the daytime tunnel can be effectively measured by the calculation method of the invention, which not only improves the safety of the driver of the daytime tunnel entrance section, but also provides the energy-saving operation and road traffic safety research of the tunnel illumination. Reference.

Abstract

Provided are a safe visual recognition-based method for standard measurement/calculation of daytime tunnel entrance section illumination, and a system for implementing the safe visual recognition-based method for standard measurement/calculation of daytime tunnel entrance section illumination, said method comprising: (a) parameters of the light environment inside the tunnel entrance section are set; (b) a feature location inside the tunnel is determined, and the average road surface brightness L of the feature location is measured; (c) a target is placed at the feature location inside the tunnel; a driver is made to drive at different speeds from outside the tunnel toward the target; the visual recognition distances D at which the driver discovers the target while driving at the different speeds are obtained; the road surface brightness L20 at the location at which the driver discovers the target is measured; the values of the brightness reduction factor K being L and L20 are obtained; (d) the average road surface brightness L at the tunnel entrance section is reset; (b) and (c) are repeated, and a plurality of sets of different visual recognition distances D and corresponding brightness reduction factors K is obtained; (e) the Sigmoid function model is used to calculate and fit the data of a plurality of sets of D and K, and the relational model formula (I) of D and K is obtained; (f) the safe stopping sight distance D0 of the maximum speed limit of the tunnel is substituted into the model formula, to arrive at the minimum brightness reduction factor K0 of the daytime tunnel entrance section.

Description

基于安全视认的白天隧道入口段照明标准测算方法及其系统Daylight tunnel entrance section lighting standard calculation method and system based on security visual recognition 技术领域Technical field
本发明涉及公路隧道照明技术领域,特别涉及一种基于安全视认的白天隧道入口段照明标准的测算方法及系统。The invention relates to the technical field of road tunnel illumination, in particular to a method and a system for calculating a lighting standard of a daytime tunnel entrance section based on safety visual recognition.
背景技术Background technique
公路隧道照明目的是为安全、高效的隧道交通运行营造良好的光环境,保证隧道路面能见度和驾驶员的可视性,满足驾驶员从环境中迅速获取大量信息的需要,防止因视觉信息不足而引发交通事故。白天隧道入口段照明条件对驾驶员的视觉特性产生直接影响。当照明水平设计不合理时便会导致隧道洞内外光环境变化剧烈,出现“黑洞效应”,使驾驶员出现视觉滞后现象,导致驾驶视认困难和紧张而采取错误的驾驶行为,易诱发交通事故。国内外针对这种问题,提出了对白天入口段的照明进行设计,但也存在问题。The purpose of highway tunnel lighting is to create a good light environment for safe and efficient tunnel traffic operation, ensure tunnel visibility and driver visibility, meet the driver's need to quickly obtain a large amount of information from the environment, and prevent visual information from being insufficient. Causing a traffic accident. The lighting conditions of the tunnel entrance section during the day have a direct impact on the driver's visual characteristics. When the lighting level design is unreasonable, the light environment inside and outside the tunnel will change drastically, and the “black hole effect” will appear, which will cause the driver to appear visual hysteresis, which will lead to driving difficulties and tension and take the wrong driving behavior, which will easily induce traffic accidents. . In response to this problem at home and abroad, the design of the illumination of the entrance section during the day is proposed, but there are also problems.
国内外对白天隧道入口段照明设计存在诸多问题。如只考虑了亮度指标,缺乏对色温、显指等光源特性指标的考虑,设计指标过于单一,往往不能满足驾驶员在不同色温、显色指数光源特性照明条件下的实际需要,降低了隧道运行的安全服务水平。研究隧道入口段照明光源特征和视认小目标物的手段多采用静态检测手段,约束了研究成果的可靠性,对一定设计速度或限制速度条件下的隧道入口段照明标准至今缺乏一个合理的检测计算方法,使得隧道的照明设计不能有效消除黑洞效应带来的安全隐患。为了提高公路隧道的行车的安全性、稳定性和舒适性,需要寻求一种能够用于实际驾驶过程中隧道入口段不同光源特性照明标准的测算方法及其系统,特别是对于白天隧道入口段。There are many problems in the lighting design of the entrance section of the daytime tunnel at home and abroad. If only the brightness index is considered, and the characteristics of the light source and the light source are not considered, the design index is too single, which often fails to meet the actual needs of the driver under the different color temperature and color rendering index characteristics, and reduces the tunnel operation. The level of security services. The method of studying the illumination source characteristics of the entrance section of the tunnel and the means of visually identifying the small target mostly adopt static detection means, which constrains the reliability of the research results. The lighting standard of the tunnel entrance section under certain design speed or speed limit has not been properly detected. The calculation method makes the lighting design of the tunnel can not effectively eliminate the safety hazard caused by the black hole effect. In order to improve the safety, stability and comfort of road tunnels, it is necessary to find a method and system for measuring the illumination standards of different light source characteristics in the tunnel entrance section during the actual driving process, especially for the daytime tunnel entrance section.
发明内容Summary of the invention
本发明的目的在于解决现有技术存在的上述技术缺陷,提供一种多指标、动态测量、可靠性高和满足驾驶员实际需要的基于视认安全的隧道入口段照明标准的测算方法,同时,本发明还提供了一种系统紧凑、操作简易的实现基于视认安全的隧道入口段照明标准的测算方法的系统,此系统提供多种光环境变量,能够动态测量这些变量,从而克服了传统测算系统指标单一、静态检测可靠性低、 不能满足实际驾驶需要的技术缺陷。The object of the present invention is to solve the above technical defects existing in the prior art, and provide a method for calculating a tunnel entrance section illumination standard based on visual security, which has multiple indicators, dynamic measurement, high reliability, and meets the actual needs of the driver. The invention also provides a system for realizing a compact and easy-to-implement method for calculating a tunnel entrance section illumination standard based on visual security. The system provides various optical environment variables and can dynamically measure these variables, thereby overcoming the traditional calculation. Single system indicator, low reliability of static detection, Technical defects that do not meet the actual driving needs.
为了实现上述目的,本发明的第一方面,提供一种基于安全视认的白天隧道入口段照明标准的测算方法,所述测算方法包括如下步骤:(a)设定隧道入口段内的光环境参数,包括设定隧道内色温为T0,设定显色指数为Ra0和隧道入口段内平均亮度为L;(b)确定隧道内特征位置,所述隧道内特征位置是从该特征位置处开始隧道内的路面亮度保持不变,并测量所述隧道内特征位置的平均路面亮度L;(c)在所述隧道内特征位置处放置目标物,令驾驶员以不同速度从隧道外驾驶机动车向所述目标物方向行驶,从而获取驾驶员不同速度下发现所述目标物所需的视认距离D,并测量驾驶员发现所述目标物时所在位置的路面亮度L20,求取亮度折减系数K为L与L20的比值;(d)重新设定隧道入口段平均路面亮度L,并重复步骤(b)和(c),从而获取多组不同平均路面亮度对应的视认距离D和相应的亮度折减系数K;(e)根据获取的多组视认距离D和相应的亮度折减系数K,利用Sigmoid函数模型对多组D与K的数据进行计算拟合,求得D与K的关系模型公式为
Figure PCTCN2015091963-appb-000001
(f)将所述隧道的设计最高限速速度下的安全停车视距D0代入到所述模型公式中,得出所述白天隧道入口段所要求的最小亮度折减系数K0
In order to achieve the above object, a first aspect of the present invention provides a method for calculating a daylight tunnel entrance section illumination standard based on security visual recognition, the method comprising the following steps: (a) setting a light environment in a tunnel entrance section The parameter includes setting a color temperature in the tunnel to be T 0 , setting a color rendering index to Ra 0, and an average brightness in the tunnel entrance segment to be L; (b) determining a feature position in the tunnel, wherein the feature position in the tunnel is from the feature location At the beginning of the tunnel, the brightness of the road surface remains unchanged, and the average road surface brightness L of the characteristic position in the tunnel is measured; (c) the target object is placed at the characteristic position in the tunnel, so that the driver can drive from outside the tunnel at different speeds. The motor vehicle travels toward the target to obtain the visual distance D required for the driver to find the target at different speeds, and measures the road surface brightness L 20 at which the driver finds the target. luminance reduction coefficient K L L 20 is the ratio of; (d) resetting the tunnel entrance average surface brightness L, and repeating steps (b) and (c), thereby acquiring a plurality of sets corresponding to different average surface brightness visually recognized From D and the corresponding brightness reduction coefficient K; (e) according to the obtained multiple sets of viewing distance D and the corresponding brightness reduction coefficient K, using the Sigmoid function model to calculate and fit the data of multiple sets of D and K, The relationship model between D and K is
Figure PCTCN2015091963-appb-000001
(f) Substituting the safe parking line of sight D 0 at the design maximum speed limit rate of the tunnel into the model formula to obtain the minimum brightness reduction factor K 0 required for the day tunnel entrance section.
进一步的,在(f)步骤后,还有如下步骤进一步对于所述白天隧道入口段所要求的最小亮度折减系数K0进行校正:(g)设定隧道入口段色温为T0和显色指数为Ra0;(h)确定隧道内特征位置,所述隧道内特征位置是从该特征位置处开始隧道内的光照亮度保持不变,在所述隧道内特征位置处放置目标物,将机动车停在距所述目标物安全停车视距D0处;(i)令所述驾驶员进入所述机动车驾驶室,调节所述隧道入口段平均路面亮度L由小到大,记录所述驾驶员发现所述目标物所需的最小静态亮度值Lf,并同时测量隧道洞口外安全停车视距D0处的平均路面L20,求取静态最小亮度折减系数Kf为L与L20的比值;(j)重新设定隧道入口段的色温与显色指数中的至少一个,将重复步骤(h)和(i),从而获取不同色温与显色指数对应的静态最小亮度折减系数Kf,将色温为T0,显色指数为Ra0对应的静态最小亮度折减系数Kf为基准J,将不同色温与显色指数对应的静态最小亮度折减系数Kf与J相比,求得不同色温与显色指数对应的视 觉修正系数a;求出不同光环境下隧道入口段的最小亮度折减系数K0d为a与K0的乘积。Further, after the step (f), the following steps are further performed to further correct the minimum brightness reduction coefficient K 0 required for the day tunnel entrance segment: (g) setting the tunnel entrance segment color temperature to T 0 and color rendering The index is Ra 0 ; (h) determining the feature position in the tunnel, the feature position in the tunnel is that the brightness of the light in the tunnel remains unchanged from the feature position, and the target object is placed at the feature position in the tunnel. The motor vehicle is parked at a safe parking distance D 0 from the target; (i) the driver is allowed to enter the motor vehicle cab, and the average road surface brightness L of the tunnel entrance section is adjusted to be small to large. The driver finds the minimum static brightness value L f required for the target, and simultaneously measures the average road surface L 20 at the safe parking distance D 0 outside the tunnel opening, and obtains the static minimum brightness reduction factor K f as L and L. a ratio of 20 ; (j) resetting at least one of the color temperature and the color rendering index of the tunnel entry segment, and repeating steps (h) and (i) to obtain a static minimum luminance reduction corresponding to the color temperature and the color rendering index Coefficient K f , the color temperature is T 0 , coloration refers to The static minimum brightness reduction factor K f corresponding to the number Ra 0 is the reference J, and the static minimum brightness reduction factor K f corresponding to the color temperature and the color rendering index is compared with J, and the color temperature corresponding to the color rendering index is obtained. The visual correction coefficient a; the minimum brightness reduction coefficient K 0d of the tunnel entrance section under different light environments is obtained as the product of a and K 0 .
本发明的第二方面,提供了一种实现基于安全视认的白天隧道入口段照明标准测算方法的系统,包括隧道入口段子系统,所述隧道入口段子系统包括安装在隧道入口段的可调节输出功率的照明装置,用于设置隧道光环境;测试子系统,所述测试子系统包括机动车、目标物、洞内亮度测量装置、洞外亮度测量装置、色温测量装置、显色指数测量装置、速度测量装置、距离测量装置组成,用于动态测试和静态测试及其数据采集;数据计算子系统,所述数据计算子系统包括计算机系统,用于对于采集数据的拟合与处理。According to a second aspect of the present invention, a system for implementing a daylight tunnel entrance section lighting standard estimation method based on security visual recognition includes a tunnel entrance section subsystem including an adjustable output installed in a tunnel entrance section a lighting device for setting a tunnel light environment; a test subsystem comprising a motor vehicle, a target object, an in-hole brightness measuring device, an external beam brightness measuring device, a color temperature measuring device, a color rendering index measuring device, The speed measuring device and the distance measuring device are composed for dynamic testing and static testing and data acquisition thereof; and a data computing subsystem including a computer system for fitting and processing the collected data.
本发明的方法和系统从驾驶视认安全舒适性的角度考虑,结合驾驶员在实际动态驾驶过程中的视认特性,得到满足驾驶员在不同光环境下安全视认需求的照明标准,以期实现安全、舒适、合理的白天隧道入口段光环境设置。这一方法弥补了从驾驶视认需求角度来研究白天隧道入口段照明指标的空白;另一方面能够辅助营造良好、可靠、安全的视觉环境,确保驾驶员能够以设计速度安全舒适地接近、穿越和通过隧道,降低隧道交通运行风险及隧道照明能耗和成本。通过计算隧道入口自然光源与人造光源耦合作用的不同光环境下满足驾驶员连续动态视认需求的照明标准,就可达到隧道入口段照明节能与交通安全的协调统一。The method and system of the present invention considers the safety standard of driving and visual recognition, and combines the visual recognition characteristics of the driver in the actual dynamic driving process to obtain the lighting standard that satisfies the driver's safety visual recognition requirements in different light environments, in order to realize Safe, comfortable and reasonable light environment setting for the entrance section of the tunnel during the day. This method makes up for the blank of the lighting indicators of the tunnel entrance section from the perspective of driving visual recognition requirements; on the other hand, it can help create a good, reliable and safe visual environment to ensure that the driver can safely and comfortably approach and cross at the design speed. And through the tunnel, reduce the risk of tunnel traffic and the energy and cost of tunnel lighting. By calculating the lighting standard that meets the driver's continuous dynamic visual recognition requirements under different light environments in which the natural light source and the artificial light source are coupled to the tunnel entrance, the lighting energy saving and traffic safety of the tunnel entrance section can be achieved.
附图说明DRAWINGS
参考随附的附图,本发明更多的目的、功能和优点将通过本发明实施方式的如下描述得以阐明,其中:Further objects, features, and advantages of the present invention will be made apparent by the following description of the embodiments of the invention.
图1示意性示出基于安全视认的白天隧道入口段照明标准的测算方法的实施方式示意图;1 is a schematic view showing an embodiment of a method for measuring a daylight tunnel entrance section illumination standard based on security visual recognition;
图2示意性示出基于安全视认的白天隧道入口段照明标准的测算方法的实施方式的剖面示意图;2 is a schematic cross-sectional view showing an embodiment of a method for measuring a daylight tunnel entrance section illumination standard based on a security view;
图3系基于安全视认的白天隧道入口段照明标准的测算方法流程图;3 is a flow chart of a method for calculating a daylight tunnel entrance section lighting standard based on security visualization;
图4基于安全视认的白天隧道入口段照明标准的测算的方法流程图。Figure 4 is a flow chart of a method for measuring the illumination standard of a daytime tunnel entrance section based on security visualization.
附图标记Reference numeral
100 隧道入口段  101 隧道洞口  102 隧道内特征位置  103 目标物  104 机 动车100 tunnel entrance section 101 tunnel entrance 102 characteristic location within the tunnel 103 target 104 machine Motor train
105 隧道外特征位置  106 照明装置  107 车行道中间线  108 车行道边缘线105 Outer-of-tunnel feature location 106 Lighting 107 Roadway middle line 108 Roadway edge line
109 车行道分界线  110 位置点。109 Roadway dividing line 110 Location point.
具体实施方式detailed description
在下的具体实施方式的描述中,将参考附图描述本发明的具体实施例。在附图中,相同的附图标记代表相同或类似的部件,或者相同或类似的步骤。In the following description of the specific embodiments, specific embodiments of the invention are described with reference to the drawings. In the figures, the same reference numerals are used to refer to the same or similar parts, or the same or similar steps.
实施例一Embodiment 1
图1和图2示出了本发明提供的基于安全视认的白天隧道入口段照明标准的测算方法的实施方式的示意图。本发明的目的在于通过提供一种白天隧道入口段的照明标准测算方法,以计算出不同光环境下满足安全视认的白天隧道入口段100与隧道外部的路面亮度比值,即隧道内外亮度折减系数,进而,可以根据不同隧道的行驶设计要求,为隧道入口段的照明设计提供参考,确保驾驶者的行驶安全。1 and 2 are schematic diagrams showing an embodiment of a method for estimating a daylight tunnel entry segment illumination standard based on a security view provided by the present invention. The object of the present invention is to provide a lighting standard measurement method for a daytime tunnel entrance section, to calculate a ratio of road surface brightness between the daytime tunnel entrance section 100 and the tunnel outside the tunnel in different light environments, that is, the brightness reduction inside and outside the tunnel. The coefficient, in turn, can provide a reference for the lighting design of the tunnel entrance section according to the driving design requirements of different tunnels to ensure the driver's driving safety.
白天隧道入口段100光环境复杂,既有自然光又有人工光,为了表征隧道入口段100光环境,使用色温、显色指数、平均路面亮度作为光环境参数,可选取一特征面来代表隧道入口段100内的光环境,此特征面的位置位于隧道内光环境稳定段的开始处。During the daytime tunnel entrance section 100, the light environment is complex, both natural light and artificial light. In order to characterize the 100 light environment of the tunnel entrance section, color temperature, color rendering index and average road surface brightness are used as light environment parameters. A characteristic surface can be selected to represent the tunnel entrance. The light environment within segment 100, the location of which is located at the beginning of the stable portion of the optical environment within the tunnel.
如图1和图2所示,根据本发明的方法,首先设定隧道入口段的光环境参数,在此实施例中,设定隧道入口段内的色温、显色指数、平均路面亮度的数值。然后确定隧道内特征位置102,具体来说,利用亮度计测量隧道内亮度,从隧道洞口101处向隧道内每间隔1m分别测量路面处的亮度值,当检测到的亮度值不再发生变化时记录下该位置,该位置即为隧道内特征102。隧道内特征102的位置所在道路横断面是隧道内外光环境分界的临界断面,并将此特征断面作为目标物103放置的位置。As shown in FIG. 1 and FIG. 2, according to the method of the present invention, the light environment parameter of the tunnel entrance section is first set. In this embodiment, the values of the color temperature, the color rendering index, and the average road surface brightness in the tunnel entrance section are set. . Then, the characteristic position 102 in the tunnel is determined. Specifically, the brightness in the tunnel is measured by using a luminance meter, and the brightness value at the road surface is measured from the tunnel opening 101 to each interval of 1 m in the tunnel. When the detected brightness value does not change any more. The location is recorded, which is the in-tunnel feature 102. The cross section of the road where the feature 102 in the tunnel is located is a critical section of the boundary between the light environment inside and outside the tunnel, and this feature section is taken as the position where the object 103 is placed.
然后,以该隧道内特征102以内一段区域的平均亮度作为路面亮度的表征值。分别测量出隧道内特征位置102以内且相邻照明装置106之间的车行道分界线109、车行道边缘线108以及车行道中间线107上水平间隔1m的多个位置点110的亮度,记录并进一步计算出平均路面亮度,则该平均路面亮度为隧道内特征位置102的路面亮度表征值。具体地,计算平均路面亮度所选择的隧道内区域是由隧道内特征102的位置向隧道内方向测量的一段区域。具体的测量距离例 如为隧道内两相邻照明装置之间的距离。Then, the average brightness of a region within the in-tunnel feature 102 is used as a representative value of the road surface brightness. The brightness of the plurality of position points 110 spaced horizontally by 1 m on the roadway boundary line 109, the roadway edge line 108, and the roadway intermediate line 107 between the adjacent lighting devices 106 within the feature position 102 within the tunnel, respectively, is measured. The average road surface brightness is recorded and further calculated, and the average road surface brightness is a road surface brightness representation value of the feature position 102 within the tunnel. Specifically, the in-tunnel area selected to calculate the average road surface brightness is a section of the in-tunnel direction measured by the position of the in-tunnel feature 102. Specific measurement distance example For example, the distance between two adjacent lighting devices in the tunnel.
然后,将一目标物放置在隧道内特征102的位置所在道路横断面处,由驾驶员驾驶机动车104以不同的行驶速度驶入隧道,在行驶过程中由隧道外视认隧道入口段内目标物103,采集不同行驶速度下驾驶员的视认距离D,即发现目标物时与目标物的距离。Then, a target is placed at the cross section of the road where the location of the feature 102 in the tunnel is located, and the driver drives the motor vehicle 104 to enter the tunnel at different driving speeds, and the target in the tunnel entrance section is visually recognized by the tunnel outside the driving process. The object 103 collects the visual distance D of the driver at different driving speeds, that is, the distance from the target when the target is found.
根据本发明的本实施例,驾驶员坐在机动车中平均目高约为1.2m。通过机动车非接触速度仪记录驾驶员驾车的运行速度和发现目标物时车辆的位置,即该位置为隧道外特征位置105,并测量出隧道外特征位置105至隧道内特征位置102的距离,即视认距离D,所述利用非接触速度仪测量视认距离的方法,是当驾驶员发现所述目标物时触发非接触速度仪,记录下一个位置,当驾驶员通过所述特征位置102,即通过所述目标物位置时,再次触发所述非接触速度仪,记录下另一个位置,两个位置之差为视认距离D。According to the embodiment of the invention, the driver sits in the motor vehicle with an average height of about 1.2 m. The running speed of the driver's driving and the position of the vehicle when the target is found are recorded by the non-contact speed meter of the motor vehicle, that is, the position is the out-of-tunnel feature position 105, and the distance from the out-of-tunnel feature position 105 to the feature position 102 in the tunnel is measured. That is, the distance D is measured, and the method of measuring the visual distance by using the non-contact speed meter is to trigger the non-contact speed meter when the driver finds the target, and record the next position when the driver passes the feature position 102. When the target position is passed, the non-contact speed meter is triggered again, and another position is recorded, and the difference between the two positions is the viewing distance D.
然后,将隧道内光环境改变设定为不同的亮度,由驾驶员驾驶机动车104以不同的行驶速度驶入隧道,在行驶过程中由隧道外视认隧道入口段内目标物103,采集不同光环境和不同行驶速度下驾驶员的视认距离D。Then, the light environment change in the tunnel is set to different brightness, and the driver drives the motor vehicle 104 to enter the tunnel at different driving speeds, and the target object 103 in the tunnel entrance segment is visually recognized by the tunnel outside during the driving process, and the collection is different. The driver's viewing distance D in the light environment and at different driving speeds.
根据本发明的本实施例,采用的显色指数为70,实验表明显色指数越高越接近太阳光,越有利于视认,即越高越好。本实施例中选取较低的显色指数70,考虑了最不利的极端情况,而实际生产出来的灯具通常都不低于70的显色指数,因此都会更优于本实施例的极端情况。本试验中的显色指数和色温均选择为实测的数值,这是由于一般的灯具在实际安装后会与出厂时标定的色温与显色指数有偏差。测量显色指数和色温的方法同平均亮度类似,可以测量多点后取平均值。According to the embodiment of the present invention, the color rendering index is 70, and the higher the apparent color index of the experimental table is, the closer it is to the sunlight, the more favorable it is to visual recognition, that is, the higher the better. In this embodiment, a lower color rendering index 70 is selected, taking into account the most unfavorable extreme conditions, and the actual produced lamps are usually not lower than the color rendering index of 70, and thus are superior to the extreme case of the embodiment. The color rendering index and color temperature in this test are selected as the measured values. This is because the general lamp will deviate from the factory-calibrated color temperature and color rendering index after actual installation. The method of measuring the color rendering index and the color temperature is similar to the average brightness, and the average value can be measured after measuring multiple points.
为了消除驾驶员之间的差异,选择多名不同年龄段、不同驾龄段和不同视力段(正常视力范围内)的驾驶员以不同的速度驾驶机动车104,重复以上试验获得并记录下多组数据。经分析,驾驶员视认主要受洞内外亮度差异和驾驶员自身的行车感觉的影响,因此导致每位被试驾驶员对小目标物的视认距离与车辆运行速度的相关性较差,故无需考虑运行速度的影响,从而可以利用多组数据建立视认距离D与亮度折减系数K的计算模型,并通过该模型测算出合理的亮度折减系数。 In order to eliminate the difference between the drivers, multiple drivers of different age groups, different driving ages and different visual power segments (within the normal visual range) are selected to drive the motor vehicle 104 at different speeds. Repeat the above test to obtain and record multiple groups. data. After analysis, the driver visually recognizes the difference between the brightness difference inside and outside the hole and the driver's own driving feeling. Therefore, the driver's perception of the small target is less correlated with the running speed of the vehicle. It is not necessary to consider the influence of the running speed, so that a calculation model of the viewing distance D and the brightness reduction coefficient K can be established by using a plurality of sets of data, and a reasonable brightness reduction coefficient is calculated by the model.
如图3所示,具体给出了本发明基于安全视认的白天入口段照明标准测算方法的实施步骤,具体步骤如下:As shown in FIG. 3, the implementation steps of the method for calculating the daylight entry segment illumination standard based on the security view of the present invention are specifically given. The specific steps are as follows:
步骤201,设定隧道内的光环境参数,所述光环境参数为色温、显色指数和平均路面亮度,将隧道内光环境照明设定在某一色温T0、显色指数Ra0和隧道入口段平均路面亮度L。在本发明的本实施例中测量色温与显色指数可以利用分光辐射照度计来测量,测量隧道入口段平均路面亮度L可以采用亮度计或照度计来测量,采用照度计时,需利用平均照度与平均亮度之间的关系,即平均照度换算系数来求取亮度。Step 201: setting a light environment parameter in the tunnel, wherein the light environment parameter is a color temperature, a color rendering index, and an average road surface brightness, and setting a light environment illumination in the tunnel to a color temperature T 0 , a color rendering index Ra 0 , and a tunnel The average road surface brightness L of the entrance section. In the embodiment of the present invention, the measured color temperature and the color rendering index can be measured by using a spectroradiometer, and the average road surface brightness L of the tunnel entrance section can be measured by using a luminance meter or an illuminometer, and the illumination is used, and the average illumination is used. The relationship between the average brightness, that is, the average illuminance conversion factor, is used to obtain the brightness.
步骤202,确定隧道内特征位置102,该隧道内特征位置102为隧道内外光环境分界的临界断面,即从该位置处隧道内的环境亮度开始保持不变,并测量所述隧道内特征位置的平均路面亮度L。Step 202: Determine a feature position 102 in the tunnel, where the feature position 102 in the tunnel is a critical section of the boundary between the light environment inside and outside the tunnel, that is, from the ambient brightness in the tunnel from the location, and the characteristic position in the tunnel is measured. Average road surface brightness L.
根据本发明的本实施例,确定隧道内特征位置所使用的方法是从隧道洞口处向隧道内每间隔特定距离(例如,1m)分别测量路面处的亮度值,当检测到的亮度值不再发生变化时记录下该位置点,则该位置即为隧道内特征位置102。且特征位置所在道路横断面是隧道内外光环境分界的临界断面。According to the embodiment of the present invention, the method for determining the feature position in the tunnel is to measure the brightness value at the road surface from the tunnel hole to a specific distance (for example, 1 m) in the tunnel, when the detected brightness value is no longer When the position is recorded when the change occurs, the position is the feature position 102 in the tunnel. And the cross section of the road where the feature location is located is the critical section of the boundary between the light environment inside and outside the tunnel.
步骤203,在隧道内特征位置102放置目标物,令驾驶员以不同的速度从隧道外驾驶机动车向隧道内目标物方向行驶,采集每个速度下各自的针对目标物103的视认距离D,为了测量方便,可以利用机动车上安装的非接触速度仪来测量驾驶速度。并测量距隧道洞口安全停车视距D0处,距地面1.50m高正对洞口方向20°视场实测得到的平均亮度L20,求取亮度折减系数K为L与L20的比值。Step 203, placing the target object in the in-tunnel feature position 102, causing the driver to drive from the out-of-tunnel driving vehicle to the target object in the tunnel at different speeds, and collecting the respective viewing distance D for the target object 103 at each speed. For the convenience of measurement, the driving speed can be measured by using a non-contact speed meter installed on a motor vehicle. And measuring the distance D 0 from the safe parking distance D 0 of the tunnel opening, the average brightness L 20 measured from the field of view of the hole at a distance of 1.50 m from the ground, and the brightness reduction factor K is the ratio of L to L 20 .
根据本发明的本实施例,例如,要求驾驶员从隧道外2km处驾驶机动车104向隧道内目标物方向直线行驶,在行驶过程中对隧道内目标物进行视认,以能否轻松快速的发现目标物为判别标准。当驾驶员发现目标物时,即可采集机动车位置数据,通过触发机动车104上安装的非接触速度仪标记此时机动车104的具体位置(即隧道外特征位置105);当机动车104行驶到目标物103位置时,再次标记机动车104此时的具体位置(隧道内特征位置102);计算两位置之间的距离,该距离即为视认距离D。According to the embodiment of the present invention, for example, the driver is required to drive the motor vehicle 104 from the outside of the tunnel to the direction of the target in the tunnel, and visually recognize the target in the tunnel during driving, so that it can be easily and quickly The target was found to be a criterion. When the driver finds the target, the vehicle position data can be collected, and the specific position of the motor vehicle 104 (ie, the extra-tunnel feature position 105) is marked by triggering the non-contact speed meter installed on the motor vehicle 104; when the motor vehicle 104 is traveling When the position of the object 103 is reached, the specific position of the motor vehicle 104 at this time (the intra-tunnel feature position 102) is again marked; the distance between the two positions is calculated, which is the visual distance D.
步骤204,改变隧道内光环境照明的平均路面亮度,重复步骤202和步骤203,得到多组不同平均路面亮度下对应的视认距离D和相应的亮度折减系数K。 Step 204: Change the average road surface brightness of the light environment illumination in the tunnel, and repeat steps 202 and 203 to obtain a corresponding viewing distance D and a corresponding brightness reduction coefficient K of the plurality of different average road surface brightnesses.
步骤205,将步骤204得到的多组视认距离D和相应的亮度折减系数K的数据通过利用Sigmoid函数模型对两组信息进行拟合,采用拟牛顿法中的BFGS方法进行参数学习,求出D与K的关系模型公式,如关系模型公式为:Step 205, the data of the plurality of sets of viewing distance D and the corresponding brightness reduction coefficient K obtained in step 204 are fitted to the two sets of information by using the Sigmoid function model, and the parameter learning is performed by using the BFGS method in the quasi-Newton method. The relationship model formula of D and K, such as the relational model formula:
Figure PCTCN2015091963-appb-000002
Figure PCTCN2015091963-appb-000002
步骤206,将隧道的设计最高限速限制速度下的停车视距D0代入到上述公式(1)中,测算得到该隧道所要求的最小亮度折减系数K0。通过上述测算满足该隧道最高限速速度下最小亮度折减系数,并由此来设定隧道内亮度值,这样就保证了隧道入口段行车的安全性。Step 206 : Substituting the parking line of sight D 0 of the tunnel at the maximum speed limit speed into the above formula (1), and calculating the minimum brightness reduction coefficient K 0 required by the tunnel. Through the above calculation, the minimum brightness reduction coefficient at the maximum speed limit speed of the tunnel is satisfied, and the brightness value in the tunnel is set thereby, thereby ensuring the safety of the tunnel entrance section.
在实际路况下,道路上的障碍物大多由不规则的多面体组成,汽车底盘离地最小高度变化在0.10~0.20m之间。道路上引起车辆倾覆的最大障碍物高度为18cm,当高度大于18cm时驾驶员必须采取躲闪措施。按视认最不利原则并结合CIE 2004年隧道照明指南中的推荐,本发明的本实施例中的目标物采用例如反射率为20%,形状为20cm×20cm×20cm的灰色立方体。Under actual road conditions, most of the obstacles on the road are composed of irregular polyhedrons. The minimum height of the vehicle chassis from ground is between 0.10 and 0.20 m. The maximum obstacle height causing the vehicle to tip over on the road is 18 cm. When the height is greater than 18 cm, the driver must take dodge measures. According to the most unfavorable principle and in combination with the recommendation in the CIE 2004 Tunnel Lighting Guide, the object in the present embodiment of the present invention employs, for example, a gray cube having a reflectance of 20% and a shape of 20 cm × 20 cm × 20 cm.
实施例二Embodiment 2
参照图1、图3与图4,基于本实施例,本发明的基于视认安全的白天隧道入口段照明标准测算方法可进一步测算出白天隧道入口段不同光环境下的最小亮度折减系数K0d,还包括静态测量步骤,进一步对于所述白天隧道入口段所要求的最小亮度折减系数K0进行校正,所述静态测量步骤包括以下步骤,Referring to FIG. 1 , FIG. 3 and FIG. 4 , based on the present embodiment, the method for calculating the illumination standard of the daylight tunnel entrance segment based on the visual security of the present invention can further calculate the minimum brightness reduction coefficient K under different light environments of the entrance section of the daytime tunnel. 0d , further comprising a static measuring step, further correcting a minimum brightness reduction coefficient K 0 required for the day tunnel entrance segment, the static measuring step comprising the following steps,
步骤207,设定隧道光环境,包括设定隧道光环境的色温为T0和显色指数为Ra0Step 207, setting a tunnel light environment, including setting a color temperature of the tunnel light environment to be T 0 and a color rendering index to be Ra 0 ;
步骤208,确定隧道内特征位置102,在所述隧道内特征位置102处放置目标物103,将机动车停在距所述目标物安全停车视距D0处,所述安全停车视距Do与隧道的设计最高限速速度相对应; Step 208, determining a feature location 102 in the tunnel, placing the target object 103 at the feature location 102 in the tunnel, stopping the vehicle at a safe parking distance D 0 from the target, the safe parking distance D o Corresponding to the designed maximum speed limit speed of the tunnel;
步骤209,令所述驾驶员进入所述机动车104驾驶室进行静态测试,调节所述隧道入口段100平均路面亮度L由小到大,记录所述驾驶员发现所述目标物103所需的最小静态亮度值Lf,并同时测量洞外距地面1.50m高正对洞口方向20°视场实测得到的平均亮度L20,求取静态最小亮度折减系数Kf为L与L20的比值。Step 209, the driver is allowed to enter the cab of the motor vehicle 104 to perform a static test, and the average road surface brightness L of the tunnel entrance section 100 is adjusted to be small to large, and the driver is required to find the target object 103. The minimum static brightness value L f , and simultaneously measure the average brightness L 20 measured from the field of view of the hole at a distance of 1.50 m from the ground at 20 °, and obtain the static minimum brightness reduction factor K f as the ratio of L to L 20 .
本发明的本实施例中,所述驾驶员在机动车104中坐姿直立,目高例如为1.2m。本发明实施例的测量洞外亮度的步骤采用洞外亮度测量装置,所述洞 外亮度测量装置如可为光强检测器,可将其架设在距隧道洞口101安全停车视距,距地面1.5处,正对隧道洞口方向20°视场。In the present embodiment of the invention, the driver is seated upright in the motor vehicle 104 with a head height of, for example, 1.2 m. The step of measuring the brightness outside the hole in the embodiment of the present invention uses an external beam brightness measuring device, the hole The external brightness measuring device can be a light intensity detector, which can be erected at a safe parking distance from the tunnel opening 101, 1.5 at a distance from the ground, and facing the field of view of the tunnel opening at 20°.
步骤2010,重新设定隧道内色温与显色指数中的至少一个,重复步骤208和步骤209,从而获取不同色温、显色指数对应的静态最小亮度折减系数Kf,将色温为T0,显色指数为Ra0对应的静态最小亮度折减系数Kf为基准J,将不同色温与显色指数对应的静态最小亮度折减系数Kf与J相比,求得不同色温与显色指数对应的视觉修正系数a。Step 2010, resetting at least one of the color temperature and the color rendering index in the tunnel, and repeating steps 208 and 209 to obtain a static minimum brightness reduction coefficient K f corresponding to different color temperatures and color rendering indexes, and setting the color temperature to T 0 . CRI Ra 0 corresponding to the minimum static luminance reduction factor K f as a reference J, different color temperature and color rendering index corresponding to the minimum static luminance as compared with the reduction factor K f J, to obtain different color temperature and color rendering index Corresponding visual correction factor a.
步骤2011,求出不同光环境下的白天隧道入口段的最小亮度折减系数K0d为a与K0的乘积。In step 2011, the minimum brightness reduction coefficient K 0d of the daytime tunnel entrance section in different light environments is obtained as the product of a and K 0 .
通过本发明的本实施例,针对不同光环境下进行动态、静态测试,确定出以不同显色指数和色温下满足安全停车视距D0为基准的最小亮度折减系数,确定了驾驶员在白天通过隧道所需的安全视认的最小亮度折减系数,为车辆的隧道安全通行的的安全视认提供了可靠的光环境设置标准。Through the embodiment of the present invention, the dynamic and static tests are performed under different light environments, and the minimum brightness reduction coefficient that satisfies the safe parking line of sight D 0 with different color rendering indexes and color temperatures is determined, and the driver is determined. The minimum brightness reduction factor for the security view required by the tunnel during the day provides a reliable setting for the light environment for the safe viewing of the tunnel safety of the vehicle.
实施例三Embodiment 3
根据本发明的实施例一建立的模型,可以用于基于视认距离(驾驶员能够发现目标物103时机动车104与目标物103之间的距离)的亮度折减系数的计算方法,以下为该模型具体应用的实施例:The model established according to the first embodiment of the present invention can be used for a calculation method of the brightness reduction coefficient based on the viewing distance (the distance between the motor vehicle 104 and the object 103 when the driver can find the object 103), and the following is Example of model specific application:
用于计算机动车驾驶员在某省高速公路白天行驶时隧道入口段安全的亮度折减系数K。某省高速公路隧道全长555m,设计速度和最高限速为80km/h,隧道入口段光色环境为色温5700K、显色指数70,隧道内铺装沥青混凝土路面。目前国际上在道路视觉认知方面所采用的被试驾驶员数量尚未达到共识,从已发表的国际论文中一般为4~8名,最多至15名,本发明的本实施例中随机抽取了6名机动车驾驶员,测算不同的隧道内路面亮度,要求驾驶员驾驶机动车以一定的速度从隧道外向隧道内行驶,并在行驶过程中对前方目标物103进行视认,以能否轻松快速的发现目标物103为判别标准,记录驾驶员对目标物103的视认情况。It is used to calculate the brightness reduction factor K of the safety of the entrance section of the tunnel when the driver of the motor vehicle travels during the daytime in a province. The expressway tunnel of a province has a total length of 555m, the design speed and the maximum speed limit are 80km/h, and the light color environment of the tunnel entrance section is color temperature 5700K, color rendering index 70, asphalt concrete pavement is paved in the tunnel. At present, the number of pilots employed in road visual cognition in the world has not reached consensus. From the published international papers, there are generally 4-8, up to 15, and the present embodiment of the present invention randomly draws Six motor vehicle drivers measure the road surface brightness in different tunnels, and require the driver to drive the motor vehicle from the outside of the tunnel to the tunnel at a certain speed, and visually recognize the front object 103 during driving, so that it can be easily The quick discovery target 103 is a criterion for judging the driver's visibility of the target object 103.
在视认过程中分别采集驾驶员在试验路段上行驶时的视认信息和隧道洞内光环境信息,再根据本发明的模型进行白天隧道入口段亮度折减系数计算。驾驶员在不同隧道入口段亮度折减系数情况下对隧道内目标物进行视认,共采集样本22个,其中有效样本为15个,如表1所示。 During the visual recognition process, the visual information of the driver when driving on the test section and the light environment information of the tunnel hole are respectively collected, and then the brightness reduction factor of the entrance section of the daytime tunnel is calculated according to the model of the present invention. The driver visually recognizes the target in the tunnel under different tunnel entrance segment brightness reduction factors, and collects 22 samples, of which 15 are valid samples, as shown in Table 1.
Figure PCTCN2015091963-appb-000003
Figure PCTCN2015091963-appb-000003
表1白天入口段动态视认结果汇总建立亮度折减系数与视认距离之间的Sigmoid函数模型,模型为
Figure PCTCN2015091963-appb-000004
将设计最高限制速度80km/h的停车视距D=110m代入模型中,即可计算出最小亮度折减系数:0.045,故建议将隧道入口段亮度折减系数在0.045以上以保证白天隧道入口段的行车安全,如果此隧道将来改变最到限制速度,也可通过亮度折减系数与视认距离之间的模型,求出最小亮度折减系数,见表2
Table 1 summarizes the dynamic visual recognition results of the daytime entry segment to establish a Sigmoid function model between the brightness reduction factor and the visual recognition distance. The model is
Figure PCTCN2015091963-appb-000004
The parking distance D = 1010m with the highest speed limit of 80km/h is designed into the model, and the minimum brightness reduction factor can be calculated: 0.045. Therefore, it is recommended that the tunnel entrance section brightness reduction factor be above 0.045 to ensure the daytime tunnel entrance section. Driving safety, if the tunnel changes to the limit speed in the future, the minimum brightness reduction factor can also be obtained by the model between the brightness reduction factor and the viewing distance, see Table 2.
Figure PCTCN2015091963-appb-000005
Figure PCTCN2015091963-appb-000005
表2不同最高限制速度对应的亮度折减系数Table 2 brightness reduction factor corresponding to the highest maximum speed limit
实施例四 Embodiment 4
本发明在实施例三的基础上,本发明通过进一步改变色温,进行静态视认,求出视觉修正系数a,见表3,Based on the third embodiment of the present invention, the present invention further determines the color temperature and performs static visual recognition to obtain a visual correction coefficient a, as shown in Table 3.
Figure PCTCN2015091963-appb-000006
Figure PCTCN2015091963-appb-000006
表3视觉修正系数Table 3 visual correction factor
根据本发明的实施例,求出不同光环境下、不同最高限制速度对应的最小亮度折减系数,结果见表4,此折减系数适用于自由流交通状况,According to an embodiment of the present invention, a minimum brightness reduction coefficient corresponding to different maximum speeds in different light environments is obtained. The results are shown in Table 4. The reduction factor is applicable to free-flow traffic conditions.
Figure PCTCN2015091963-appb-000007
Figure PCTCN2015091963-appb-000007
表4不同光环境、不同最高限制速度对应的最小亮度折减系数Table 4 Minimum brightness reduction factor corresponding to different light environments and different maximum speed limits
实施例五Embodiment 5
本发明还提供了一种实现基于视认安全的白天隧道入口段照明标准测算方法的系统,包括隧道入口段子系统,所述隧道入口段子系统包括安装在隧道入口段100内的可调节输出功率的照明装置,用于设置隧道光环境;测试子系统,所述测试子系统包括机动车104、目标物103、洞内亮度测量装置、洞外亮度测量装置、色温测量装置、显色指数测量装置、速度测量装置、距离测量装置组成,用于动态测试和静态测试及其数据采集;数据计算子系统,所述数据计算子系统包括计算机系统,用于测试数据的拟合与处理。The present invention also provides a system for implementing a daylight tunnel entry section lighting standard measurement method based on visual security, comprising a tunnel entry section subsystem including an adjustable output power installed in the tunnel entrance section 100. a lighting device for setting a tunnel light environment; a test subsystem comprising a motor vehicle 104, a target object 103, an in-hole brightness measuring device, an out-of-hole brightness measuring device, a color temperature measuring device, a color rendering index measuring device, The speed measuring device and the distance measuring device are composed for dynamic testing and static testing and data acquisition thereof; and the data computing subsystem includes a computer system for fitting and processing the test data.
本发明的本实施例中,所述隧道入口段子系统中,所述照明装置可 设置为各种照明灯具,通过照明灯具对光环境参数色温、显色指数、亮度进行调整。为了测量步骤简化,所述色温测量装置和显色指数测量装置为分光辐射照度计,所述距离测量装置和速度测量装置集成为一个,为非接触式速度仪,使得系统简化;隧道内路面亮度测量装置为亮度计或照度计,当为照度计时,通过求取平均亮度与平均照度之间的关系,即平均照度换算系数,来求取亮度。In the embodiment of the present invention, in the tunnel entrance section subsystem, the lighting device may It is set as a variety of lighting fixtures, and the color temperature, color rendering index and brightness of the light environment parameters are adjusted by the lighting fixtures. For the simplification of the measuring step, the color temperature measuring device and the color rendering index measuring device are spectroscopic illuminometers, and the distance measuring device and the speed measuring device are integrated into one, which is a non-contact speed meter, which simplifies the system; the road surface brightness in the tunnel The measuring device is a luminance meter or an illuminometer. When the illuminance is counted, the brightness is obtained by obtaining a relationship between the average brightness and the average illuminance, that is, an average illuminance conversion coefficient.
对大客车而言,小客车视野开阔程度较低,相同环境下驾驶员对目标物103的视认更加困难,在本发明的本实施例中,按最不利原则选取所述机动车104例如为小客车。For a bus, the visibility of the passenger car is low, and it is more difficult for the driver to visually recognize the target 103 in the same environment. In the embodiment of the present invention, the motor vehicle 104 is selected according to the most unfavorable principle, for example. small truck.
为了更有效地测量隧道口的洞外亮度,使得所测的数据更具有代表性,本发明的本实施例对隧道外亮度测量装置的位置进一步说明为在距隧道洞口安全停车视距D0,距地面1.5m高处,所述洞外亮度测量装置正对隧道洞口方向20°视场,所述亮度测量装置可以是光强检测器,也可以是亮度计或者其他仪器。In order to more effectively measure the out-of-hole brightness of the tunnel opening, so that the measured data is more representative, the position of the tunnel external brightness measuring device in the embodiment of the present invention is further described as a safe parking distance D 0 from the tunnel opening. At a height of 1.5 m from the ground, the external brightness measuring device is facing the field of view of the tunnel opening, and the brightness measuring device may be a light intensity detector or a brightness meter or other instrument.
本发明不仅考虑隧道内的光环境信息,还综合考虑了驾驶员的动态因素。通过本发明的测算方法可以有效地测算出白天隧道入口段的最小亮度折减系数,不仅提高了白天隧道入口段驾驶员行车的安全性,也为隧道照明的节能运行和道路交通安全研究提供了参考依据。The invention not only considers the light environment information in the tunnel, but also comprehensively considers the dynamic factors of the driver. The minimum brightness reduction coefficient of the entrance section of the daytime tunnel can be effectively measured by the calculation method of the invention, which not only improves the safety of the driver of the daytime tunnel entrance section, but also provides the energy-saving operation and road traffic safety research of the tunnel illumination. Reference.
所述附图仅为示意性的并且未按比例画出。虽然已经结合优选实施例对本发明进行了描述,但应当理解本发明的保护范围并不局限于这里所描述的实施例。The drawings are only schematic and are not drawn to scale. Although the present invention has been described in connection with the preferred embodiments, it is understood that the scope of the invention is not limited to the embodiments described herein.
结合这里披露的本发明的说明和实践,本发明的其他实施例对于本领域技术人员都是易于想到和理解的。说明和实施例仅被认为是示例性的,本发明的真正范围和主旨均由权利要求所限定。 Other embodiments of the invention will be apparent to those skilled in the <RTIgt; The description and the examples are to be considered as illustrative only, and the true scope and spirit of the invention are defined by the claims.

Claims (10)

  1. 一种基于安全视认的白天隧道入口段照明标准测算方法,其包括以下步骤:A method for calculating the illumination standard of a daytime tunnel entrance section based on security visual recognition, comprising the following steps:
    (a)设定隧道入口段内的光环境参数,设定隧道内色温为T0,设定显色指数为Ra0和隧道入口段内平均亮度为L;(a) setting the light environment parameters in the tunnel entrance section, setting the color temperature in the tunnel to T 0 , setting the color rendering index to Ra 0 and the average brightness in the tunnel entrance section to be L;
    (b)确定隧道内特征位置,所述隧道内特征位置,所述隧道内特征位置是从该特征位置处开始隧道内的路面亮度保持不变,并测量所述隧道内特征位置的平均路面亮度L;(b) determining a feature position in the tunnel, the feature position in the tunnel, the feature position in the tunnel is that the road surface brightness in the tunnel remains unchanged from the feature position, and measuring the average road surface brightness of the feature position in the tunnel L;
    (c)在所述隧道内特征位置处放置目标物,令驾驶员以不同速度从隧道外驾驶机动车向所述目标物方向行驶,从而获取驾驶员不同速度下发现所述目标物所需的视认距离D,并测量驾驶员发现所述目标物时所在位置的路面亮度L20,求取亮度折减系数K为L与L20的值;(c) placing a target at a characteristic position in the tunnel, causing the driver to drive the vehicle from the outside of the tunnel to the target at different speeds, thereby obtaining the driver's need to find the target at different speeds. Observing the distance D, and measuring the road surface brightness L 20 at the position where the driver finds the target object, and obtaining the brightness reduction coefficient K as the value of L and L 20 ;
    (d)重新设定隧道入口段平均路面亮度L,并重复步骤(b)和(c),从而获取多组不同平均路面亮度对应的视认距离D和相应的亮度折减系数K;(d) resetting the average road surface brightness L of the tunnel entrance section, and repeating steps (b) and (c), thereby obtaining a plurality of sets of different average road surface brightness corresponding to the viewing distance D and the corresponding brightness reduction factor K;
    (e)根据获取的多组视认距离D和相应的亮度折减系数K,利用Sigmoid函数模型对多组D与K的数据进行计算拟合,求得D与K的关系模型公式为
    Figure PCTCN2015091963-appb-100001
    (e) According to the acquired multiple sets of visual distance D and the corresponding brightness reduction coefficient K, the Sigmoid function model is used to calculate and fit the data of multiple sets of D and K, and the relationship model between D and K is obtained as
    Figure PCTCN2015091963-appb-100001
    (f)将所述隧道的设计最高限速速度下的安全停车视距D0代入到所述模型公式中,得出所述白天隧道入口段所要求的最小亮度折减系数K0(f) Substituting the safe parking line of sight D 0 at the design maximum speed limit rate of the tunnel into the model formula to obtain the minimum brightness reduction factor K 0 required for the day tunnel entrance section.
  2. 根据权利要求1所述的基于安全视认的白天隧道入口段照明标准测算方法,其特征在于,在(f)步骤后,还有如下步骤进一步对于所述白天隧道入口段所要求的最小亮度折减系数K0进行校正:The method for calculating a daylight tunnel entrance section illumination standard based on the security visual recognition according to claim 1, wherein after the step (f), there is the following step of further minimizing the minimum brightness required for the daytime tunnel entrance section. The correction factor K 0 is corrected:
    (g)设定隧道入口段色温为T0和显色指数为Ra0(g) setting the color temperature of the tunnel entrance section to T 0 and the color rendering index to Ra 0 ;
    (h)确定隧道内特征位置,所述隧道内特征位置是从该特征位置处开始隧道内的光照亮度保持不变,在所述隧道内特征位置处放置目标物,将机动车停在距所述目标物最高限速限制速度下的安全停车视距D0处;(h) determining a feature position in the tunnel, the feature position in the tunnel is that the brightness of the light in the tunnel remains unchanged from the feature position, and the target object is placed at the feature position in the tunnel, and the vehicle is parked at a distance The safe parking line of sight D 0 at the maximum speed limit speed of the target;
    (i)令所述驾驶员进入所述机动车驾驶室,调节所述隧道入口段平均路面亮度L由小到大,记录所述驾驶员发现所述目标物所需的最小静态平均路面亮度值Lf,并同时测量隧道洞口外安全停车视距D0处的平均路面亮度值L20,求取静态最小亮度折减系数Kf为L与L20的比值; (i) causing the driver to enter the cab of the motor vehicle, adjusting the average road surface brightness L of the tunnel entrance section from small to large, and recording the minimum static average road surface brightness value required by the driver to find the target object L f , and simultaneously measure the average road surface brightness value L 20 at the safe parking distance D 0 outside the tunnel opening, and obtain the static minimum brightness reduction factor K f as the ratio of L to L 20 ;
    (j)重新设定隧道入口段的色温与显色指数中的至少一个,重复步骤(h)和(i),从而获取不同色温与显色指数对应的静态最小亮度折减系数Kf,将色温为T0,显色指数为Ra0对应的静态最小亮度折减系数Kf为基准J,将不同色温与显色指数对应的静态最小亮度折减系数Kf与J相比,求得不同色温与显色指数对应的视觉修正系数a,求出不同光环境下隧道入口段的最小亮度折减系数K0d为a与K0的乘积。(j) resetting at least one repeating steps color temperature and color rendering index of the tunnel inlet section (h) and (I), thereby acquiring a different color temperature and color rendering index corresponding to the minimum static luminance reduction coefficient K f, the The color temperature is T 0 , the static minimum brightness reduction factor K f corresponding to the color rendering index Ra 0 is the reference J, and the static minimum brightness reduction factor K f corresponding to the color temperature and the color rendering index is compared with J, and the difference is obtained. The visual correction coefficient a corresponding to the color temperature and the color rendering index is obtained by finding the product of the minimum luminance reduction factor K 0d of the tunnel entrance section in different light environments as a and K 0 .
  3. 根据权利要求1或2所述的基于安全视认的白天隧道入口段照明标准测算方法,其特征在于:所述隧道内特征位置的确定是通过从隧道口处向隧道内每间隔1m分别测量路面的亮度值,当检测到的亮度值不再发生变化时对应的位置即为所述的隧道内特征位置;所述目标物放置在所述隧道内特征位置所在的道路横断面或者光环境分界的临界断面上。The method for calculating a daylight tunnel entrance section illumination standard based on security visual recognition according to claim 1 or 2, wherein the feature position in the tunnel is determined by measuring the road surface from the tunnel mouth to each interval of 1 m in the tunnel. The brightness value, when the detected brightness value no longer changes, the corresponding position is the intra-tunnel feature position; the target object is placed in the cross section of the road where the feature position in the tunnel is located or the boundary of the light environment On the critical section.
  4. 根据权利要求1或2所述的基于安全视认的白天隧道入口段照明标准测算方法,其特征在于:所述隧道入口段平均路面亮度为所述隧道内特征位置以内一段区域路面亮度的平均亮度值。The method for calculating a daylight tunnel entrance section illumination standard based on security visual recognition according to claim 1 or 2, wherein the average road surface brightness of the tunnel entrance section is an average brightness of road surface brightness within a section of the characteristic position in the tunnel. value.
  5. 根据权利要求1或2所述的基于安全视认的白天隧道入口段照明标准测算方法,其特征在于,所述测量洞外的亮度L20的步骤包括,距隧道洞口安全停车视距D0,距地面1.5m高处架设亮度测量装置,正对隧道洞口方向20°,对所述洞外的亮度L20进行测量。The lighting standard calculation method based on the security tunnel entrance daytime visibility of claim 1 or claim 2, wherein said step of measuring the brightness outside the cave L 20 comprises, from the tunnel entrance safe stopping sight D 0, A brightness measuring device is set at a height of 1.5 m from the ground, and the direction of the tunnel opening is 20°, and the brightness L 20 outside the hole is measured.
  6. 根据权利要求1或2所述的基于安全视认的白天隧道入口段照明标准测算方法,其特征在于:所述测量视认距离D的步骤采用安装在机动车辆中的非接触速度仪,当所述驾驶员发现所述目标物时触发非接触速度仪,记录一个位置,当所述驾驶员到达目标物所在位置时记录另一个位置,所述两个位置之间的距离差为视认距离D。The method for calculating a daylight tunnel entrance section illumination standard based on safety visual recognition according to claim 1 or 2, wherein the step of measuring the visual distance D is performed by using a non-contact speed meter installed in a motor vehicle. When the driver finds the target, the non-contact speedometer is triggered, a position is recorded, and another position is recorded when the driver reaches the position of the target, and the distance difference between the two positions is the visual distance D. .
  7. 根据权利要求1所述的基于安全视认的白天隧道入口段照明标准的测算方法,其特征在于:所述色温与显色性通过分光辐射照度计检测;所述隧道入口段平均亮度L通过亮度计进行检测或者采用照度计检测,利用平均照度与亮度之间的关系求取亮度;所述测量洞外亮度L20采用光强检测器。The method according to claim 1, wherein the color temperature and color rendering are detected by a spectroradiometer; and the average brightness of the tunnel entrance section passes through the brightness. The measurement is performed or the illuminance meter is used for detection, and the relationship between the average illuminance and the brightness is used to obtain the brightness; the external brightness L 20 of the measurement hole is a light intensity detector.
  8. 根据权利要求1所述的基于安全视认的白天隧道入口段照明标准的测算方法,所述驾驶员为多名分布在不同年龄段、不同正常视力段和不同驾龄段的人员。 The method for calculating a safety visual-based daylight tunnel entrance section lighting standard according to claim 1, wherein the driver is a plurality of persons distributed in different age groups, different normal vision segments, and different driving age segments.
  9. 一种实现基于视认安全的白天隧道入口段照明标准测算方法的系统,包括:A system for implementing a daylight tunnel entrance section lighting standard measurement method based on visual security, comprising:
    隧道入口段子系统,所述隧道入口段子系统包括安装在隧道入口段的可调节输出功率的照明装置,用于设置隧道光环境;a tunnel entrance section subsystem, the tunnel entry section subsystem comprising an adjustable output power illumination device installed in the tunnel entrance section for setting a tunnel light environment;
    测试子系统,所述测试子系统包括机动车、目标物、洞内亮度测量装置、洞外亮度测量装置、色温测量装置、显色指数测量装置、速度测量装置、距离测量装置组成,用于动态测试和静态测试及其数据采集;a test subsystem comprising a motor vehicle, a target object, an in-hole brightness measuring device, an out-of-hole brightness measuring device, a color temperature measuring device, a color rendering index measuring device, a speed measuring device, and a distance measuring device, for dynamic Test and static testing and their data collection;
    数据计算子系统,所述数据计算子系统包括计算机系统,用于对于采集数据的拟合与处理。A data computing subsystem that includes a computer system for fitting and processing the collected data.
  10. 根据权利要求9所述的实现基于视认安全的白天隧道入口段照明标准测算方法的系统,其特征在于,所述隧道段子系统中,所述照明装置可设置为各种照明灯具,通过照明灯具对光环境参数色温、显色指数进行调整;所述测试子系统中,所述色温测量装置和显色指数测量装置为分光辐射照度计;所述洞内亮度测量装置为亮度计或照度计;所述机动车辆为小客车;所述距离测量装置和速度测量装置为非接触式速度仪;所述隧道入口段子系统包括洞口,所述洞外亮度测量装置的位置为在距所述洞口安全停车视距D0,距地面1.5m高处,所述洞外亮度测量装置正对隧道洞口方向20°;所述洞外亮度测量装置为光强检测器。 The system for implementing a daylight tunnel entrance section lighting standard estimation method based on visual security according to claim 9, wherein in the tunnel segment subsystem, the lighting device can be set as various lighting fixtures, through the lighting fixture Adjusting the color temperature and color rendering index of the light environment parameter; wherein the color temperature measuring device and the color rendering index measuring device are spectroradiometers; and the in-hole brightness measuring device is a brightness meter or an illuminometer; The motor vehicle is a passenger car; the distance measuring device and the speed measuring device are non-contact speed meters; the tunnel inlet segment subsystem includes an opening, and the position of the outer brightness measuring device is safely parked from the opening The viewing distance D0 is 1.5 m above the ground, and the external brightness measuring device is facing the tunnel opening 20°; the external brightness measuring device is a light intensity detector.
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EP3182077A4 (en) * 2014-10-26 2017-08-30 Beijing University Of Technology Safe visibility-based method and system for measuring and estimating lighting standards in tunnel midsections

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