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基于直角矢量限定方法的模板自动配板技术
引用本文:何 林,文 桥,袁 健,张 厚,王玉辉. 基于直角矢量限定方法的模板自动配板技术[J]. 计算机应用研究, 2013, 30(3): 803-805
作者姓名:何 林  文 桥  袁 健  张 厚  王玉辉
作者单位:1. 哈尔滨工业大学 土木工程学院,哈尔滨,150090
2. 1. 哈尔滨工业大学 土木工程学院, 哈尔滨 150090; 2. 黑龙江省建设集团 科学技术发展中心, 哈尔滨 150046
3. 黑龙江省建设集团 科学技术发展中心,哈尔滨,150046
基金项目:国家“863”计划基金资助项目(2001AA616110); 国家自然科学基金资助项目(51078110, 50508012); 黑龙江省建设集团科学技术发展中心重点研究项目(MH20100413)
摘    要:根据剪力墙施工图构成特点, 提出了基于直角矢量限定技术的剪力墙结构模板自动布板算法。将结构图首先解构为基本的直角特征; 然后利用矢量限定方法, 将直角重新进行分类和排序, 再结合墙角的空间位置, 标志出图形中矢量直角对应的建筑墙角; 最后完成剪力墙结构模板配板所需的全部组件。实际工程应用表明, 该方法能够准确识别复杂施工图中的建筑构造, 大幅度提高现浇体系施工的配板效率, 为智能施工提供了良好的图形识别关键技术。

关 键 词:模板自动配板  直角矢量与限定  建筑图形自动识别

Method of rectangular angle vectorization and restriction used in auto-forming board and application
HE Lin,WEN Qiao,YUAN Jian,ZHANG Hou,WANG Yu-hui. Method of rectangular angle vectorization and restriction used in auto-forming board and application[J]. Application Research of Computers, 2013, 30(3): 803-805
Authors:HE Lin  WEN Qiao  YUAN Jian  ZHANG Hou  WANG Yu-hui
Affiliation:1. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China; 2. Science & Technology Development Center, Heilongjiang Construction Group Co. , Ltd, Harbin 150046, China
Abstract:This paper presented a rectangular vector and restriction method used to auto-forming board, which based on the feature analysis of a great many charts involved to shear wall structural excogitation. Firstly, it deconstructed the constructional design drawings into elementary figure units which contained the lines and rectangular angles. Then it vectorized split functio-nal cells as well as restricted straight lines to reorder and reclassify these essential structural parts. Finally, it obtained the components made for the forming board from the identified cells combined with the shear well angle's locations. It also applied the auto-forming board technology in cast-in-place concrete practices and the results demonstrated that the presented method and technology could accurately identify complex constructional drawing constitution of building, and raised substantially the efficiency of auto-forming board engineering for building construction. The method also provides the key technique support for smart construction technology in the future.
Keywords:auto-forming board   rectangular angle vectorization and restriction   building drawing auto-identification
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