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Dynamic light intensity detection system of aerodrome assistance lightFormat | Member Price | Non-Member Price |
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Paper Abstract
The techniques used in dynamic detection of airfield lighting intensity are introduced in this paper. These techniques can
take place of the old method of checking all manually, and the system can detect the lights intensity online quickly and
exactly, so as to find out the light faults and ensure the safety of planes taking off, landing and slipping. The system uses
a car with a string of sensors which have been cosine calibrated and v(λ) calibrated to detect the light intensity. When the
car is moving, the sensors can detect the lights' horizontal section. To accurately measure the distance from the measured
aerodrome assistance light to the moving car, and then calculate the light intensity and protract the iso-candela curve, the
Doppler ranging radar system is used. To guarantee the dependability of the system and the measurement precision, a
video monitoring and guiding system is used to assure the car to run along the airfield lights line, then light orientation
sensors are used to eliminate the radar's cumulating errors. The experiment indicates that this system is feasible and has
high detecting precision.
Paper Details
Date Published: 26 November 2007
PDF: 8 pages
Proc. SPIE 6830, Advanced Sensor Systems and Applications III, 68301E (26 November 2007); doi: 10.1117/12.756510
Published in SPIE Proceedings Vol. 6830:
Advanced Sensor Systems and Applications III
Yun-Jiang Rao; Yanbiao Liao; Gang-Ding Peng, Editor(s)
PDF: 8 pages
Proc. SPIE 6830, Advanced Sensor Systems and Applications III, 68301E (26 November 2007); doi: 10.1117/12.756510
Show Author Affiliations
Jianshu Gao, Civil Aviation Univ. of China (China)
Jiye Song, Northeast Dianli Univ. (China)
Zhijing Yu, Civil Aviation Univ. of China (China)
Jiye Song, Northeast Dianli Univ. (China)
Zhijing Yu, Civil Aviation Univ. of China (China)
Fei Chen, Civil Aviation Univ. of China (China)
Xudong Shi, Civil Aviation Univ. of China (China)
Qingji Gao, Civil Aviation Univ. of China (China)
Xudong Shi, Civil Aviation Univ. of China (China)
Qingji Gao, Civil Aviation Univ. of China (China)
Published in SPIE Proceedings Vol. 6830:
Advanced Sensor Systems and Applications III
Yun-Jiang Rao; Yanbiao Liao; Gang-Ding Peng, Editor(s)
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