Combination of Analytical Methods to Detect Gross Errors of Levelling Data
1〓Chinese Academy of Surveying and Mapping,28 West-Lianhuachi Road，Beijing 100830，China
2〓Shandong Province Survey and Design Institute of Urban and Rural Construction,85 Mid-Wuyingshan Road，Jinan 250031，China
Abstract This paper is concerned with the gross error detection of leveling data, for example, the single detection method or the unclear detection level, etc. In order to improve the level of gross error detection, this paper proposes the joint use of loop closure network and the Baarda detection method. In the simulation experiments, the choice of tolerances in the Baarda detection method and different gross error were studied. We found that portfolio analysis method can effectively detect gross errors in levelling data, and improve the accuracy and reliability of the results, and provide a reference for gross error detection in actual projects
