房产测绘建筑元组与R矩阵自适应生成原理研究  

Research on Self-adaption Generation Algorithm of Building Tuple and R Matrix in Real Estate Mapping

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作  者:黄校 马德富 李旺民 赖永华 陈保鑫 HUANG Xiao

机构地区:[1]珠海市测绘院,广东珠海519015

出  处:《地理空间信息》2018年第7期8-10,123,共4页Geospatial Information

基  金:国家自然科学基金资助项目(91224008)

摘  要:以房产测绘共有建筑面积分摊意义下建筑元组之间的服务关系特征为出发点,通过充分必要的、最小化地定义共有建筑元属性,运用集合论的点集拓扑相关定理和运算规则,自适应生成了建筑物幢全体建筑元组及其二元关系矩阵,并设计了相应算法,提高了房屋共有建筑面积分摊处理的自动化水平,完善了集合相关运算规则在房产测绘的应用理论,为房产测绘及其智能化服务系统研发提供了新思路。Starting from the features of service relation between building tuples in the sense of sharing of building area in real estate mapping,through the sufficiently necessary and minimized definitions of common building metaattributes,we used the point set topology related theorems and operation rules of set theory to adaptively generate all building tuples of building blocks and their binary relation matrixes,and designed the corresponding algorithms to improve the automation level of sharing apportion of common building area,and to perfect the application of aggregate computing rules in real estate mapping theory.This study can provide a new idea for real estate mapping and intelligent service system research and development.

关 键 词:房产测绘 建筑元组 关系集合 关系矩阵 点集拓扑 

分 类 号:P25[天文地球—测绘科学与技术]

 

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