In this paper we introduce a method that supports the detection,
identification and localization of lamps in a building, with the main goal of
automatically feeding its energy model by means of Building Information
Modeling (BIM) methods. The proposed method, thus, provides useful information
to apply energy-saving strategies to reduce energy consumption in the building
sector through the correct management of the lighting infrastructure. Based on
the unique geometry and brightness of lamps and the use of only greyscale
images, our methodology is able to obtain accurate results despite its low
computational needs, resulting in near-real-time processing. The main novelty
is that the focus of the candidate search is not over the entire image but
instead only on a limited region that summarizes the specific characteristics
of the lamp. The information obtained from our approach was used on the Green
Building XML Schema to illustrate the automatic generation of BIM data from the
results of the algorithm.

本研究介绍了一种支持建筑物中灯具的检测、识别和定位的方法，旨在通过建筑信息模型（BIM）方法自动填充其能源模型，在建筑行业中通过正确管理照明基础设施来应用节能策略，通过使用灰度图像和独特的灯具几何和亮度，我们提出的方法能够以低计算需求获得准确的结果，实现几乎实时的处理；我们的方法的主要创新在于候选搜索的焦点不在整个图像上，而是仅在概括灯具特定特征的有限区域中，我们的方法获得的信息被用于 Green Building XML Schema，以展示算法结果的自动 BIM 数据生成。

基于建筑物中灯具的自动检测、识别和定位的 BIM 数据生成

Generation of BIM data based on the automatic detection, identification  and localization of lamps in buildings

This paper introduces a complete method for the automatic detection,
identification and localization of lighting elements in buildings, leveraging
the available building information modeling (BIM) data of a building and
feeding the BIM model with the new collected information, which is key for
energy-saving strategies. The detection system is heavily improved from our
previous work, with the following two main contributions: (i) a new refinement
algorithm to provide a better detection rate and identification performance
with comparable computational resources and (ii) a new plane estimation,
filtering and projection step to leverage the BIM information earlier for lamps
that are both hanging and embedded. The two modifications are thoroughly tested
in five different case studies, yielding better results in terms of detection,
identification and localization.

自动检测、定位建筑物的照明元件，借助建筑信息建模（BIM）数据，提供节能策略。通过改进的检测系统和新的细化算法、平面估计、BIM 信息应用于悬挂式和嵌入式灯具，实现更好的检测、定位和识别结果。