Research on Measurement Methods of Edge and Corner Rank Deficient Networks
Rank deficient free network adjustment is an adjustment method that does not set any initial data,but automatically deter-mines the adjustment benchmark according to the redundancy and geometric strength of observation data. It can effectively solve the problem of lacking initial data or not wanting to set any initial data in the control network,thereby improving the accuracy and efficien-cy of the control network. When using known initial data for general indirect adjustment processing,there is a problem of uneven accu-racy or non-compliance with engineering requirements. This article uses Python programming language to complete the classical indi-rect adjustment program with known initial data and the edge and angle rank deficient network adjustment program without known ini-tial data. Two different adjustment calculation processes are performed on CPⅢ nodes,and the two adjustment results are compared to verify the uniformity of the accuracy of the rank deficient free network of edges and corners and the necessity of using the rank deficient free network adjustment method when dealing with measurement problems that lack initial data or do not want to set any initial data.
rank deficient network adjustmentclassical indirect adjustmentmeasurement program designPython
NETL
NSTL
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