利用数字技术对城市管网进行规划和管理

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2023-04-24 DOI:10.1049/smc2.12054
Yufang Huang, Hongtao Peng, Luxin Wen, Tingyan Xing
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引用次数: 0

摘要

提升城市管网规划管理的智能化水平,是提高城市地下空间合理开发利用、保障城市基础设施系统安全运行的重要途径。研究利用具有地下管道建设项目技术经济指标计算和自动比对功能的三维管网模型数据快速可视化表达技术,有效避免了人工计算、比对中可能出现的误差,提高了项目规划数字化申报流程的效率和准确性。本研究在三维地理信息系统(GIS)平台环境下,基于地下管网模型和综合管廊建筑信息模型的数据,开发了地下管道建设项目规划方案的合规性、可行性和科学性评估、竣工数据与项目管理部门审批数据的比对等诸多分析审批功能;评估它们的一致性,判断项目完成数据的合规性。一些实际工程案例的应用结果表明,该研究可以提高规划申报和审批分析的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Using digital technologies to plan and manage the pipelines network in city

Promoting the intelligent level of urban pipelines network planning and management is an important way to improve the rational development and utilisation of urban underground space and ensure the safe operation of urban infrastructure systems. The research on using the rapid and visual expression technology of 3D pipelines network model data, which has the functions of techno-economic indexes calculation and automatic comparison of underground pipeline construction projects, effectively avoids possible errors in manual calculation and comparison and improves the efficiency and accuracy of the digital declaration process for project planning. In the 3D Geographic Information Systems (GIS) platform environment, this research help to develop many analysis and approval functions based on the data of the underground pipelines network model and the integrated pipes gallery Building Information Modelling, such as evaluating the compliance, feasibility and scientific of the planning scheme of the underground pipeline construction project, comparing the completion data with the data approved by the administrative departments of the project, evaluating the consistency of them and judging the compliance of the project completion data. The application results of some actual projects cases show that this research can improve the efficiency of planning declaration and approval analysis.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
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