Abstract: In response to the problems of low detection efficiency and potential interference to transportation order in complex station yard environments using traditional static detection methods for catenary, this paper designed a static detection system for based on laser point cloud. Through technologies such as rapid and accurate cloud registration of multiple measurement sites, extraction of catenary point cloud elements, and precise calculation of static geometric parameters, the paper implemented rapid and precise reconstruction of the catenary point cloud scene in the station yard, accurate extraction of the geometric structure of the contact wire and steel rail in the catenary, as well as accurate calculation of the conductor height and pull-out value of the catenary. The paper used the measured point cloud data from Tianjin West High Speed Railway Station for application verification. The verification results show that the system can efficiently process cloud data from multiple measurement sites, with a calculation accuracy of ± 5 mm for key geometric parameters of the catenary, significantly improves the efficiency and accuracy of static detection of the catenary at the station yard.