title: ÐÐ¾ÑÑÑÐ¾ÐµÐ½Ð¸Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð·Ð´Ð°Ð½Ð¸Ð¹ Ð¸ ÑÐ¾Ð¾ÑÑÐ¶ÐµÐ½Ð¸Ð¹ (BIM)
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development a machine learning model for classifying elements of a building information model (BIM)
Creators: name: Ð§ÐµÐ²ÑÐºÐ°Ð»Ð¾Ð², ÐÑÐ¸Ð³Ð¾ÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾Ñ ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸
BIM
ÑÐ°Ð±Ð»Ð¸ÑÐ½ÑÐµ Ð´Ð°Ð½Ð½ÑÐµ
Ð½Ð°Ð¸Ð²Ð½ÑÐ¹ Ð±Ð°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¸Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾Ñ
Ð´ÐµÑÐµÐ²ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹
softmax-ÑÐµÐ³ÑÐµÑÑÐ¸Ñ
Ð¸Ð½ÐºÑÐµÐ¼ÐµÐ½ÑÐ½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
building information classifier
tabular data
naive Bayes classifier
decision trees
softmax-regression
incremental learning

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ðº Ð·Ð°Ð´Ð°ÑÐµ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² BIM. Ð¦ÐµÐ»Ñ: Ð¿ÑÐµÐ´Ð»Ð¾Ð¶Ð¸ÑÑ ÑÐ¿Ð¾ÑÐ¾Ð± ÐºÐ°ÑÐµÐ³Ð¾ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð² ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¸ Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ¾Ð¼ ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½ÑÐ¾Ð² BIM Ð¿Ð¾ Ð¸Ñ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ°Ð¼. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð². 2. ÐÑÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐµÐ¹ Ð² Ð´Ð°Ð½Ð½ÑÑ Ð¿Ð¾ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½ÑÐ°Ð¼ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð·Ð´Ð°Ð½Ð¸Ð¹ Ð¸ ÑÐ¾Ð¾ÑÑÐ¶ÐµÐ½Ð¸Ð¹. 3. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð° Ðº ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² BIM. 4. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ðµ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ¾Ð² Ð¸ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ðµ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð¸ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð¼ÑÐµ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½ÑÐ¾Ð² Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð·Ð´Ð°Ð½Ð¸Ð¹ Ð¸ ÑÐ¾Ð¾ÑÑÐ¶ÐµÐ½Ð¸Ð¹. ÐÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ð¿Ð¾ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ°Ð¼ BIM. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¾ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð¾ ÑÐµÑÐµÐ½Ð¸Ðµ, ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾Ðµ Ðº Ð¸Ð½ÐºÑÐµÐ¼ÐµÐ½ÑÐ½Ð¾Ð¼Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°ÑÑÐµÐµ Ð»ÑÑÑÐµÐµ ÐºÐ°ÑÐµÑÑÐ²Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ Ð´ÑÑÐ³Ð¸Ð¼Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð½ÑÐ¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸. ÐÑÐ» ÑÐ´ÐµÐ»Ð°Ð½ Ð²ÑÐ²Ð¾Ð´, ÑÑÐ¾ Ð¼Ð¾Ð¶Ð½Ð¾ Ð¾Ð¿ÑÐµÐ´ÐµÐ»Ð¸ÑÑ ÐºÐ»Ð°ÑÑ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ° BIM Ñ Ð²ÑÑÐ¾ÐºÐ¾Ð¹ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð¿Ð¾ ÐµÐ³Ð¾ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ°Ð¼. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½ÑÐ¹ Ð² ÑÐ°Ð±Ð¾ÑÐµ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ð¸Ð½ÑÐµÐ³ÑÐ¸ÑÐ¾Ð²Ð°Ð½ Ð² ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÑ ÐÐ½Ð¶ÐµÐ½ÐµÑÐ½Ð¾-ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð¸Ð½ÑÑÐ¸ÑÑÑÐ° Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¾Ð³Ð¾ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑÐ° ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾ â Ð¿ÑÐ¾ÐµÐºÑ Â«IMPulseÂ».
description: The given work is devoted to the analysis of the application of machine learning methods to the problem of classifying BIM elements. Goal of the work: to propose a solution for categorizing BIM elements according to their characteristics in accordance with the building information classifier. Tasks that were solved in the work: 1. Analysis of existing solutions. 2. Highlighting the features of data about the components of the building information model. 3. Development of our own approach to the classification of BIM elements. 4. Conducting experiments and performing a comparative analysis of the results of the proposed method and existing ones. In the work, machine learning methods were studied that are applicable to solving the problem of classifying the components of a building information model. The analysis of data on BIM-elements was carried out. As a result of the work, a solution was developed that is capable of incremental learning and provides better classification quality compared to other considered methods. It was concluded that it is possible to determine the class of a BIM element with high accuracy from its characteristics. The approach proposed in the work is integrated into the development of the Institute of Civil Engineering of Peter the Great St. Petersburg Polytechnic University â the IMPulse project.