Automated runway groove measurement and maintenance management strategy

• Main Authors: Hao-Jui Chu, 朱晧睿
• Other Authors: 周家蓓
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/5tbe69

碩士 === 國立臺灣大學 === 土木工程學研究所 === 107 === The groove plays a vital role in airport runway safety, grooves can effectively increase the drainage of the runway surface, so that the skid resistance value of the overall runway is increased, thereby reducing hydroplaning. Federal Aviation Administration (FAA) specifies the geometry of the groove in the Advisory Circular AC 150_5320_12C, but there was not efficient acceptance mechanism in the past; until 2009, the research team of National Taiwan University proposed the first method to automatically detect the groove; after that, many teams have proposed various methods for detecting the groove. However, the geometry of the grooves are gradually deformed as the surface of the pavement is broken, so that the groove cannot be effectively recognized in the program easily. It made the result of the groove geometry evaluated in the program was not the actual groove condition. Therefore, it is difficult for the airport management agency to control the correct situation of the groove and make the correct decision after grooves are destroyed. This research proposed a new algorithm (NTUGroove) to detect the groove. In the algorithm, a reference profile is generated by low-pass filtering, which effectively detects all the low dips in the profile, and then removes the noise by noise elimination. After that, algorithm distinguishes the dips between the grooves and the joints, and then proposes a calculation method of the ideal spacing of the groove, helping to the groove compensation in the next step, and finally obtain the position and geometric value of all the grooves. In order to evaluate the accuracy of the algorithm, this research used the confusion matrix to analysis the results of the algorithm (NTUGroove). On the identification of the grooves, the average accuracies of the algorithm are Precision=0.99 and Re-call=0.99; on the identification of the joints, the accuracies of the algorithm are Precision=0.95 and Re-call=0.95; all of the accuracies are the high precision. To make this algorithm be useful for the management, this research proposed methods of selecting the location for the groove maintenance based on the algorithm (NTUGroove) established above; including using the geometric results of grooves to determine the proportion of passing specification, calculating the drainage capacity of every grooves, and applying the rolling analysis to find the best position for maintenance grooves on the runway. All in all, this research makes the airport management agency can use the algorithm(NTUGroove) and analysis method to get a more reliable reference value for the long-term management and decision-making; finally effectively improving the safety of the overall runway.