РАМАЧАНДРАН Бхарат (NL),МАНЦКЕ Роберт (NL),ЧАН Рэймонд (NL)
申请号：
RU2014149360
公开号：
RU2014149360A
申请日:
2013.05.01
申请国别(地区):
RU
年份:
2016
代理人:
摘要：
1. A method for determining shape by means of an optical fiber, comprising the steps of: collecting (610) shape data from an optical fiber shape determining device (104)； performing shape data testing (620) to determine data positions that exceed an acceptable threshold value, based on the geometric expectations of the shape data； reject (640) shape data corresponding to data positions that exceed an acceptable threshold value； and reproduce (650) acceptable form data to obtain a dataset for stable form determination. 2. A method according to claim 1, wherein an acceptable threshold value is determined (622) based on the shape determination model (142). The method of claim 1, wherein an acceptable threshold value is determined (624) based on previously collected form data. The method of claim 1, wherein performing testing of the shape data includes the step of calculating (626) the space-time continuity along the shape data. The method of claim 1, wherein performing testing of the form data includes the step of calculating (628) the maximum cumulative rotation along the form data. The method according to claim 1, wherein performing testing of the form data includes the step of (630) performing an adaptive search for nodal rotation between nodes in the form data for comparison with expected limits. The method of claim 1, wherein performing testing of the shape data includes the step of calculating (632) a differential rotation along the shape data. A method according to claim 1, further comprising the step of reconstructing (644) the form data by replacing the rejected form data with valid data. The method of claim 8, wherein replacing (644) from1. Способ определения формы посредством оптического волокна, содержащий этапы, на которых:собирают (610) данные о форме от оптоволоконного устройства (104) определения формы；выполняют (620) тестирование данных о форме для определения позиций данных, которые превышают приемлемое пороговое значение, на основании геометрических
