title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ ÑÐ¸ÑÑÐ¾Ð²Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a digitalization methodology based on a neural network
Creators: name: ÐÐ°ÐµÐ², ÐÐ¸ÑÐ°Ð»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: 2024
Subjects: ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ
Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ°
ÑÐ¸ÑÑÐ¾Ð²Ð¸Ð·Ð°ÑÐ¸Ñ
Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ¾Ð¾Ð±Ð¾ÑÐ¾Ñ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐµ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÑ Ð´Ð»Ñ ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ
Ð´ÑÐ¾Ð½Ñ
navisworks
Construction control
methodology
digitalization
document flow
neural networks
software packages for construction control
drones

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description: Topic of the final qualifying work: âDevelopment of a methodology for digitalization of construction control.â The work is devoted to the development of a methodology for digitalization of construction control. Problems that were solved during the study: Analysis of the methods used when carrying out construction control â¢ Analysis of foreign experience in digitalization of construction control â¢ Prospects for digitalization of construction control using innovative solutions. â¢ Study of directions for digitalization of construction control to create an optimal methodology â¢ Development of a methodology for digitalization of construction control based on a neural network model. The presented work presents an analysis of construction control during the construction of facilities. Existing and promising methods for implementing construction control are analyzed. Foreign experience in the digitalization of construction control is analyzed, the main methods that are used by foreign countries are given. A methodology for digitalization of construction control based on a neural network model is developed. The effectiveness of using the construction control digitalization technique is assessed. As a result of the work, it was proven that the neural network model used for the digitalization of construction control can be used for timely and rapid assessment of the quality of work, and can also be expanded by including additional data (stages) in its structure, thus being the basis for further improvement of the digitalization of construction control.