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A Prototype Tool of Optimal Wireless Sensor Placement for Structural Health Monitoring

机译:结构健康监测最优无线传感器放置的原型工具

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With increasing collapses of civil infrastructures and popularized utilization of large-scale structures, worldwide deployment of structural health monitoring (SHM) systems is of importance in emerging and future SHM industry. A reliable and practical tool of optimal wireless sensor placement (OWSP) can promote implementation of wireless-based SHM systems by reducing construction cost, extending lifetime and improving detection accuracy. This paper presents a prototype of wireless sensor placement (WSP) for bridge SHM based on multi-objective optimisation (MOO) technique and bridge information modelling (BrIM) technology. MOO technique is used to determine sensor locations by simultaneously searching for multiple trade-offs among structural engineering, wireless engineering and construction management. The BrIM model will be used as a platform to validate and visualize the proposed MOO. A BrIM integrated design tool will be developed to improve the efficiency in design stage through visualisation capabilities and semantic enrichment of a bridge model. As future applications, 4D BrIM that combines time-related information in visual environments with the 3D geometric and semantic BrIM model will help engineers and contractors to visualise possible defects and project costs in the real world.
机译:随着民用基础设施崩溃和大规模结构的推广利用,全球结构健康监测(SHM)系统的部署在新兴和未来的SHM工业中具有重要意义。最佳无线传感器放置(OWSP)的可靠实用工具可以通过降低施工成本,延伸寿命和提高检测精度来促进基于SHM系统的实现。本文介绍了基于多目标优化(MOO)技术和桥梁信息建模(Brim)技术的桥SHM的无线传感器放置(WSP)的原型。 Moo技术用于通过同时搜索结构工程,无线工程和施工管理之间的多种权衡来确定传感器位置。 Brim模型将用作验证和可视化所提出的MOO的平台。将开发边缘集成设计工具,通过可视化功能和桥梁模型的语义富集来提高设计阶段的效率。作为未来的应用,4D边缘与3D几何和语义边缘模型的视觉环境中的时间相关信息将帮助工程师和承包商可视化现实世界中可能的缺陷和项目成本。

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