最小二乘法修正管线探测埋深分析与应用

管线探测埋深修正一直是管线探测者的难题,本文提出了利用数学上的最小二乘法来修正管线探测埋深。最小二乘法是一种数学优化技术,它通过最小化误差的平方和寻找数据的最佳匹配函数。管线探测埋深和部分通过开挖手段获取的实际埋深可以看成一系列数据组,利用最小二乘法,获取这些数据组的最佳匹配函数,求取未知点的实际埋深。本文基于以上思路,通过理论研究和实践应用来分析该方法的可行性。

Analysis and Application of the Least Squares Method to Fix the Pipeline Detection Depth

Pipeline detection depth correction has been the problem of pipeline detection, this paper proposes a method-the clever use of the mathematical least squares method to fix the pipeline detection depth. The least squares method is a mathematical optimization techniques by minimizing the sum of the error squares to find the best matching function of the data. The pipeline probing depth and partial excavation means to obtain the actual depth can be seen as a series of data sets, using the least squares method to obtain the best matching function for these data sets, to strike the ac- tual depth of the unknownpoint. Based on the above ideas, through theoretical study and practical application to analyze the feasibility of this method