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Simulation of Accuracy Performance for Wireless Sensor-Based Construction Asset Tracking

机译：基于无线传感器的建筑资产跟踪的精度性能仿真

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摘要

Today's mobile and remote construction applications, such as tracking of materials, equipment, and workers, demand high reliability and scalability of wireless sensor networks for a large-scale construction site. In particular, identifying the location of distributed mobile entities throughout wireless communications becomes the primary task to realize the remote tracking and monitoring of the construction assets. Even though several alternative solutions have been introduced by utilizing recent technologies, such as radio frequency identification (RFID) and the global positioning system (GPS), they could not provide a solid direction to accurate and scalable tracking frameworks in large-scale construction domains due to limited capability and inflexible networking architectures. This article introduces a new tracking architecture using wireless sensor modules and shows an accuracy performance using a numerical simulation approach based on the time-of-flight method. By combining radio frequency (RF) and ultrasound (US) signals, the simulation results showed an enhanced accuracy performance over the utilization of an RF signal only. The proposed approach can provide potential guidelines for further exploration of hardware/software design and for experimental analysis to implement the framework of tracking construction assets.
机译：当今的移动和远程建筑应用（例如，物料，设备和工人跟踪）要求用于大型建筑工地的无线传感器网络具有高度的可靠性和可伸缩性。特别地，在整个无线通信中识别分布式移动实体的位置成为实现对建筑资产进行远程跟踪和监视的主要任务。尽管已经利用诸如射频识别（RFID）和全球定位系统（GPS）之类的最新技术引入了几种替代解决方案，但由于它们无法为大规模建筑领域中的准确和可扩展的跟踪框架提供坚实的方向有限的功能和不灵活的网络架构。本文介绍了一种使用无线传感器模块的新型跟踪体系结构，并使用了基于飞行时间方法的数值模拟方法来显示准确性性能。通过组合射频（RF）和超声（US）信号，仿真结果显示，与仅利用RF信号相比，其准确性得到了提高。所提出的方法可以为进一步探索硬件/软件设计和进行实验分析以实施跟踪建筑资产的框架提供潜在的指导。

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