Horizontal Reference Network Densification by Multiple Free Stations

Rovane Marcos de França, Ivandro Klein, Luis Augusto Koenig Veiga
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Abstract

Having available reference networks close to working areas minimizes error propagation and reduces costs to society when surveying or setting out engineering projects. The densification of reference networks using the Global Navigation Satellite System resulted in a more agile and cost-effective process. However, in locations with a signal obstruction or multipath—typical of urbanized areas—the solution is still to densify through direction and distance observations with total station. Traverse is the most widely applied among the conventional methods, although it has a higher error propagation. Triangulateration, in turn, is a method with higher redundancy and, therefore, less error propagation, but is also less productive, especially in urbanized areas. In this study, we present a new method for the densification of horizontal reference networks through multiple free stations, eliminating centering errors and allowing for unique and simultaneous adjustment of network points. To conduct an a priori quality analysis, the proposed method was compared with triangulateration and traverse methods considering the absolute confidence ellipses of network points; the relative confidence ellipses of the alignments; and the redundancy numbers of the observations in a simulated horizontal network. Although the redundancy of triangulateration guarantees higher reliability, the experiments showed that the multiple free stations method is more productive than traverse and triangulateration as it does not require the target points to be occupied. Besides that, it also provides better precision, that is, smaller confidence ellipses due to centering error elimination.
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多自由站的水平参考网络密度化
在工作区域附近拥有可用的参考网络可以最大限度地减少错误传播,并在测量或制定工程项目时降低社会成本。使用全球导航卫星系统的参考网络的密集化导致了一个更灵活和更具成本效益的过程。然而,在具有信号障碍或多路径的城市化地区,解决方案仍然是通过全站仪的方向和距离观测进行密集化。在传统方法中,遍历法是应用最广泛的方法,但它具有较高的误差传播。反过来,三角测量法是一种具有较高冗余度的方法,因此误差传播较少,但效率也较低,特别是在城市化地区。在这项研究中,我们提出了一种通过多个自由站进行水平参考网络密度化的新方法,消除了定心误差,并允许网络点的独特和同时调整。为了进行先验质量分析,考虑网络点的绝对置信度椭圆,将该方法与三角剖分法和遍历法进行比较;排列的相对置信椭圆;并给出了模拟水平网络中观测值的冗余数。虽然三角测量的冗余性保证了更高的可靠性,但实验表明,由于多自由站法不需要占用目标点,因此比导线和三角测量法的生产效率更高。此外,它还提供了更好的精度,即由于中心误差消除,更小的置信椭圆。
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