This article addresses the augmentation of existing building models by a priori not observable structures such as electric installations. The aim is to unambiguously determine an electric network in an incremental manner with a minimum number of local measurements, e.g. using wire detectors, by suggesting the next measurement. Different reasoning strategies, e.g. utilizing graph-theoretical algorithms, have been presented and tested based on a hypothesis which is generated using Mixed Integer Linear Programming (MILP) while incorporating standards regarding the installation of electric wiring and findings from previous measurements. The presented method has been successfully applied on simulated and real-world buildings, it saves up to 80% of the necessary measurements compared to an exhaustive verification of the whole existing electric network, and paves the way for efficiently extending existing models, e.g. GIS models, with information on hidden utilities. This opens up new opportunities to model further infrastructures, e.g. water pipes, in future research.

本文讨论了通过先验不可观察的结构（例如电气装置）对现有建筑模型的扩充。目的是通过建议下一次测量，以最小数量的局部测量，例如使用电线检测器，以增量方式明确地确定电网。基于使用混合整数线性规划 (MILP) 生成的假设，同时结合了有关电线安装的标准和先前测量的结果，已经提出并测试了不同的推理策略，例如利用图论算法。所提出的方法已成功应用于模拟和现实世界的建筑物，与对整个现有电网的详尽验证相比，它节省了高达 80% 的必要测量，并为有效扩展现有模型（例如 GIS 模型）铺平了道路，其中包含有关隐藏实用程序的信息。这为在未来的研究中为进一步的基础设施（例如水管）建模提供了新的机会。