[1]刘江涛,杨伟明,魏杰,等.基于市政管线规划信息的排水管网模型数据转换方法研究[J].中国给水排水,2021,37(10):28-33.
LIU Jiang-tao,YANG Wei-ming,WEI Jie,et al.Research on Data Conversion Methods of Drainage Network Modeling Based on Municipal Pipeline Planning Information[J].China Water & Wastewater,2021,37(10):28-33.
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LIU Jiang-tao,YANG Wei-ming,WEI Jie,et al.Research on Data Conversion Methods of Drainage Network Modeling Based on Municipal Pipeline Planning Information[J].China Water & Wastewater,2021,37(10):28-33.
基于市政管线规划信息的排水管网模型数据转换方法研究
中国给水排水[ISSN:1000-4062/CN:12-1073/TU]
卷:
第37卷
期数:
2021年第10期
页码:
28-33
栏目:
出版日期:
2021-05-17
- Title:
- Research on Data Conversion Methods of Drainage Network Modeling Based on Municipal Pipeline Planning Information
- 摘要:
- 排水管网模型数据的有效转换是构建排水管网水力模型的基础,管网模型基础数据的存储形式多样,其模型化方法各不相同,传统的模型数据转换方法主要为手工录入,占用了模型建设的大部分时间。为有效提高排水管网模型数据转换的效率和质量,分析了目前排水管网模型数据转换方法研究现状,根据CAD排水管网规划图纸信息和市政排水管线“一张图”信息的存储特点,分别研究了基于ArcGIS和基于ArcGIS+InfoWorks ICM的排水管网规划图纸信息,以及市政排水管线“一张图”信息的模型化方法。该方法可大幅提高模型数据的转换效率和质量,为排水管网模型的建设提供经验。
- Abstract:
- The effective conversion of drainage network model data is the basis of constructing drainage network hydraulic models. The basic data of the pipe network models are stored in various forms, and the modeling methods are varied. The traditional method of model data conversion is mainly manual entry, which takes up most of the time of model construction. To improve the efficiency and quality of data conversion of drainage network modeling, this paper discusses the current research of data conversion methods of drainage network modeling.According to the storage characteristics of CAD drainage network planning drawing information and municipal drainage pipeline “one map” information, we study the modeling methods of drainage network planning information and municipal drainage pipeline “one map” information based on ArcGIS and ArcGIS +InfoWorks ICM, respectively. This study can greatly improve the conversion efficiency and quality of model data, and provide experience for the establishment of drainage network model.
更新日期/Last Update:
2021-05-17