面向建筑物外立面的TLS站点智能规划方法

An Intelligent Planning Method of TLS Sites for Building Facades

地面三维激光扫描(TLS)现已成为一种获取建筑物外立面三维形态信息的重要手段,但该技术在数据采集阶段布设站点的过程还依赖用户主观经验,缺乏科学的指导,容易造成采集数据的冗余与空洞。介绍了一种基于二维模型的面向建筑物外立面的地面三维激光扫描仪站点智能规划方法,可以基于建筑物的二维轮廓线自动规划出扫描仪放置的位置。同时,以东华理工大学枫林校区为例,比较了贪婪算法与遗传算法规划的结果。结果表明,贪婪算法具有较强的可操作性与运行效率,规划出的方案覆盖率高;而遗传算法可以规划出设站成本更低的方案,但需要花费更多的计算时间。

Terrestrial laser scanning(TLS)has become an important means to obtain 3D information of building facades.However,the process of site layout in the data acquisition phase of this technology also relies on the user’s subjective experience,lacks scientific guidance,and is easy to cause redundancy and voids in data acquisition.This paper introduces a site planning method of ground 3D laser scanner facing building facade based on 2D model,which can automatically plan the location of the scanner based on the 2D contour of the building.At the same time,taking Fenglin Campus of East China University of Technology as an example,the results of greedy algorithm and genetic algorithm are compared.The results showed that the greedy algorithm had strong operability and running efficiency,and the planned scheme had high coverage.The genetic algorithm could plan the scheme with lower cost,but it taked more computing time.