一种基于路径优化的智能化市政管线布线方法及系统

By constructing a three-dimensional digital base and a hybrid optimization algorithm, the path optimization problem under multiple constraints in municipal pipeline layout was solved, realizing dynamic adaptation and closed-loop management of the entire process during the construction phase, and improving the intelligence and real-time adaptability of municipal pipeline layout.

CN122154120BActive Publication Date: 2026-07-17URBAN PLANNING & DESIGN INST OF SHENZHEN UPDIS

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
URBAN PLANNING & DESIGN INST OF SHENZHEN UPDIS
Filing Date
2026-05-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing municipal pipeline layout methods are difficult to achieve global optimization of pipeline paths and dynamic adaptation during construction under multiple constraints. Traditional methods rely on two-dimensional drawings and manual experience, which cannot achieve efficient integration and unified application of multi-source data. This makes it difficult to link planning and design schemes with on-site construction conditions in real time, and the overall system lacks systematic and intelligent path optimization support.

Method used

An intelligent municipal pipeline routing method based on path optimization is adopted. Through multi-source data standardization processing, BIM and GIS integration to construct a three-dimensional digital base, hierarchical spatial index and three-level pipeline detection units, combined with a hybrid optimization method of multi-objective genetic algorithm and deep reinforcement learning, the detection units are called in real time to complete conflict verification, and the search direction and constraint weights are dynamically adjusted according to the conflict results to generate the optimal pipeline layout path scheme.

Benefits of technology

It enables rapid convergence to obtain the globally optimal pipeline route scheme under multiple constraints, ensuring that the pipeline route adapts to changes in on-site working conditions in real time during the construction phase, realizing closed-loop management of the entire process, and maintaining the compliance, safety, and feasibility of the deployment scheme.

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Abstract

本申请涉及市政管线布线的技术领域,公开一种基于路径优化的智能化市政管线布线方法及系统,方法包括:对多源市政管线相关数据进行预处理得到标准化数据集,构建BIM与GIS模型并融合形成三维数字底座;通过分层空间索引划分三级检测区域并建立管线检测单元,完成冲突校验与语义拓扑分析,划定约束边界;构建多约束优化模型,采用多目标遗传算法与深度强化学习混合优化,实时校验冲突并调整参数,生成最优管线路径方案;依据方案生成施工指令,通过RTK与激光雷达完成现场放样,实时采集敷设参数比对,偏差超限时预警并生成修正方案。本申请能够实现多约束条件下的管线路径全局优化与施工阶段动态适配。
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