基于多元LP模型的风电场道路优化设计方法

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英文篇名：Wind Farm Road Optimization Design Method Based on Multiple Linear Programming Model 作者：周涛 ; 朱庆 ; 曾浩炜 ; 谢潇 ; 丁雨淋 英文作者：ZHOU Tao;ZHU Qing;ZENG Haowei;XIE Xiao;DING Yulin;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University;Key Laboratory for Environment Computation & Sustainability,Institute of Applied Ecology,Chinese Academy of Sciences; 关键词：风电场道路 ; 优化A~*算法 ; 多元线性规划 ; 自动优化 英文关键词：wind farm road;;optimization A* algorithm;;multiple linear programming;;automatic optimization 中文刊名：CHRK 英文刊名：Geomatics World 机构：西南交通大学地球科学与环境工程学院;中国科学院沈阳应用生态研究所环境计算与可持续发展重点实验室; 出版日期：2019-02-25 出版单位：地理信息世界 年：2019 期：v.26;No.133 基金：四川省测绘地理信息局科技支撑项目(J2017ZC04)资助 语种：中文; 页：CHRK201901013 页数：6 CN：01 ISSN：11-4969/P 分类号：69-73+84

摘要

在风电场道路自动选线设计中,为了满足相关技术规范,确保车辆行驶安全,减少施工工程量,本文提出一种基于多元线性规划(LP)模型的道路优化设计方法,实现了在三维GIS环境下顾及风电工程建设成本及道路线形设计规范的平面道路快速构建。以辽宁省杨树湾及陕西省定边两个风电场道路设计为例,结果表明该方法在选线基础上平均道路总长降低22%,平均道路挖填方量降低19%,最终获得建设成本最优及规范化修正的线路设计方案。实验表明该方法明显提升了道路设计自动化水平与能力,为道路要素自动提取和批量标准化出图奠定了基础,具有良好的实用性和有效性。
        In the automatic route selection of wind power roads, in order to meet the relevant technical specifications, guarantee the safety of the vehicle and reduce the amount of engineering, this paper proposes a road optimization design method based on multivariate linear programming model. This method realizes the rapid construction of flat roads considering wind power engineering construction cost and road line design specification in 3D GIS environment. Taking the road design of two wind farms in Yangshuwan in Liaoning Province and Ding bian of Shanxi Province as an example, the results show that the average road length of the method is reduced by 22% on the basis of roads selection, and the average road excavation volume is reduced by 19%, and finally the construction cost is optimized. The experiments show that this method significantly improves the road design automation level, and lays a foundation for automatic extraction of road elements and batch standardization, and has good practicability and effectiveness.

引文

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