An optimization method for fitting and processing of small arc sampling data of parts
A technology of sampling data and optimizing methods, which is applied in the field of data fitting, can solve problems such as large fitting errors, inability to solve precision problems well, and excessive size, and achieve the effect of saving time
Active Publication Date: 2020-07-17
ZHEJIANG UNIV
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However, the same method of this type cannot solve the accuracy problem well in the data fitting problem of small circular arc sampling. Similarly, the fitting error is too large, and even the fitted circle is either too large or too small. The arc curve where the data point is located
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[0045] The present invention will be further described below in conjunction with drawings and embodiments.
[0046] Embodiments of the present invention are as follows:
[0047] This embodiment is aimed at parts with small arc grooves, such as the central shaft in the engine:
[0048] Step 1) Use a total station to evenly collect points on the horizontal plane of the same height of the central axis in the engine, so that the distance interval between the sampling points is guaranteed to be basically consistent, so that a group of uniformly sampled data point sets are obtained;
[0049] Step 2) repeat step 1) to obtain multiple groups of such data point sets;
[0050] Step 3) For each group of data points, there is a relative distance between them. According to the reference radius on the engine specification manual, the initial value point is translated to the x-axis, and the distance from the origin is the reference radius of the central axis. Others According to the relati...
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The invention discloses a part small arc sampling data fitting processing optimization method. The method includes: Detecting the acquired arc curve sampling data points, respectively acquiring different parts to acquire a plurality of groups of sampling data points, constructing an energy function, and substituting the minimized energy function as a target for fitting to obtain an optimal parameter group; Calculating an energy function of each optimal parameter combination of all groups of sampling data points for other groups of sampling data points in sequence, and finding out a shared optimal parameter combination; Judging whether the shared optimal parameter combination can enable the energy function calculated for all training sets to reach a preset error threshold range or not; Andunder the same condition, obtaining a circle center coordinate and a circle radius which actually need to be fitted through fitting calculation of the shared optimal parameter combination. According to the method, the energy function sharing the optimal parameter combination is established, small arc sampling data generated under the same condition are fitted, the fitting precision can meet the requirement, and the parameter adjusting efficiency is guaranteed.
Description
technical field [0001] The invention relates to a data fitting technology in reverse engineering, in particular to a small arc sampling data fitting processing optimization method of a part. Background technique [0002] Small arc sampling data fitting processing problems are very common in industry and science and engineering experiments, such as data measurement and detection of small arc parts, local arc data point records of large parts to estimate wear, and small arc It is a very important and common problem to determine the specifications of the corresponding matching parts for the card slot, but this problem has never been raised and dealt with by scholars, and there is no corresponding method to solve this kind of problem. There are only some classic circle fitting methods proposed, and these methods are basically aimed at the data fitting of large circular arc sampling. These methods can be roughly divided into the following categories according to the form of the ...
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IPC IPC(8): G06F30/17
Inventor 蔺宏伟曹琦
Owner ZHEJIANG UNIV