Study on Treatment Method of Lateral Through Error in Underground Project Survey
Yonghui Hou
Abstract
Yonghui Hou
Abstract
In order to improve the through construction quality of the underground project and to reduce the lateral through error occurred by the error of the surface control network,base on the study on the average error method of the surface control network for the underground project and the error estimation method of the lateral through,in references of the average error model of the tunnel surface plane control network with the through constraint conditions,the paper had a study on the average error method on the surface control network under the conventional min 2 multiplying principle and with the lateral through error as zero constraint conditions.The method was applied to calculate the case.Some proposals were provided for the average error method.The paper would have certain guidance to the average error of the through in the similar underground projects.
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In order to improve the through construction quality of the underground project and to reduce the lateral through error occurred by the error of the surface control network,base on the study on the average error method of the surface control network for the underground project and the error estimation method of the lateral through,in references of the average error model of the tunnel surface plane control network with the through constraint conditions,the paper had a study on the average error method on the surface control network under the conventional min 2 multiplying principle and with the lateral through error as zero constraint conditions.The method was applied to calculate the case.Some proposals were provided for the average error method.The paper would have certain guidance to the average error of the through in the similar underground projects.
Key concepts: Constraint (computer-aided design), Surface (topology), Control network, Error detection and correction, Plane (geometry), Control (management), Quality (philosophy), Computer science