Beijing University of Technology

Guizhou Expressway Group Co., Ltd (cn)

Xiaomi Inc.

Guizhou Expressway Group Co., Ltd.

Xiaoqin Zhang

Feng Liu

Meng Wang

Hui Du

Xiaoyu Li

Yuanfeng Zhang

Xiaojuan Gao

Jiangbi Hu

Linxi Gao

Wenqian Ma

Weili Wang

Da Guo

Guiping Guan

Pengfei Xu

Jianmin Wang

Jianping Cao

Linghua Gu

Ronghua Wang

Shilong Mei

Xiaoshun Lu

Jiamei Liu

Jianlong Cheng

Jiechao Cheng

Mingyu Xie

Xiangzhen Chang

The present invention relates to a visual efficacy measuring method for objects in different light environments, which comprises: (a) setting a light environment; (b) measuring a relationship between color temperature and time; (c) a driver visually recognizing a target object; (d) resetting the light environment, and repeating the step (c); (e) processing the visual recognition information data collected by the experiments so as to establish a relationship of the visual recognition time in relation with the light environmental parameters of color temperature, color rendering index and brightness; (f) performing visual efficacy analysis according to the processing results of the visual recognition information data. The present invention also provides a color temperature standard determining method for a tunnel middle section in day time, which comprises: (a) setting a light environment; (b) measuring a relationship between color temperature and time; (c) selecting a stably distributed color temperature segment; (d) determining the color temperature standard. The method of the present invention performs visual efficacy analysis of the influence that light environment settings of illumination on a night road or in a tunnel middle section have on drivers' visual recognition activity, thereby providing a good guiding standard for reasonable and efficient setting of color temperature, color rendering index and average brightness of an illumination device.

Visual efficacy measuring method for objects in different light environments

The invention relates to an illumination standard calculation method for a tunnel entrance section in daytime based on safe visual recognition. The method includes: (a) setting light environment parameters of the tunnel entrance section; (b) determining a feature position in the tunnel, and measuring the average road surface brightness L of the feature position; (c) placing a target object in the feature position and then making a driver drive at different speeds from outside the tunnel towards the target object to measure visual recognition distances D required by the driver to visually discover the target object under different driving speeds, and measuring the road surface brightness Lat the position where the driver visually discovers the target object and calculating the brightness reduction factor K to be the ratio between L and L; (d) resetting the average road surface brightness L of the tunnel entrance section and repeating steps (b) and (c) to obtain a plurality of different sets of visual recognition distances D and corresponding brightness reduction factors K; (e) using Sigmoid function model to calculate and fit the data of the plurality of sets of D and K to obtain a relational model formula of D and K: (f) substituting a safe stopping sight distance Dcorresponding to a maximum speed limit of the tunnel into the formula to obtain the minimum brightness reduction factor Kof the tunnel entrance section in daytime. The invention also relates to a system for implementing the illumination standard calculation method for a tunnel entrance section in daytime based on safe visual recognition.

Illumination standard calculation method and system for a tunnel entrance section in daytime based on safe visual recognition

The present invention relates to a visual efficacy determining method for non-colored objects in different light environments, comprising: a) setting light environment; b) placing an object for performing visual recognition of a driver; c) resetting the light environment, and repeating the step b); d) processing visual recognition information data obtained after experiments, and establishing a correlating relationship between visual recognition time and color temperature, color rendering index and brightness parameters of the light environment; and e) performing visual efficiency analysis according to the visual recognition information data processing results. The present invention further provides a system for implementing the visual efficacy determining method for non-colored objects in different light environments, wherein the system comprises a simulated tunnel middle section subsystem, a testing subsystem and a data processing subsystem. According to the method and the system disclosed by the present invention, visual efficacy analysis is performed on the visual influence of the light environment setting of the illumination of a night road and a tunnel middle section on the driver, and good guidance standards are provided for the reasonable and efficient setting of the color temperature, color rendering index and average brightness of a lighting device.

Visual efficacy determining method for non-coloured objects in different light environments and system thereof

Growing community of inventors

Beijing, China

Xiaoqin Zhang