Michal Faltejsek

The subject of this article is the information model of a building, the data of which can be used in the phase of operation and use. The aim of the article is to define the requirements for building information models for the purpose of data collection for spatial evidence. The article describes the method of sorting data according to the IFC standard developer for the international non-profit organization buildingSMART, or a classification system, and it describes the method of sorting the relevant data. Spatial evidence describes using the data from building information models. The conclusions of the article provide the information on how the users can collect the data from the information model and create spatial evidence in this case. Spatial evidence was selected because it is the one of the essential documents used by facility managers.

The article explores the role of artificial intelligence (AI) in the transformation of the Building Information Modeling (BIM) environment. It focuses on current trends and developments in the field of AI, its applications in BIM, and future perspectives. AI introduces process automation, design optimization, and efficient management of construction projects into the BIM framework. Among its many benefits is the ability to quickly retrieve information, identify and describe problematic areas, and suggest alternative solutions during the design phase. In the construction phase, AI can enable more efficient and faster responses to project changes and construction challenges. When transferring data to the operation and maintenance phase, AI can sort large volumes of information and present it in a clear and actionable format for facility managers. This article analyzes both theoretical and practical aspects of AI integration into BIM and evaluates its potential benefits for the construction industry.

The sustainable development of settlements is increasingly linked to the development of information technologies, which can help identify critical and risky locations based on already detected information. By properly utilizing the advantages of individual systems, effective simulations can be created that will help municipal administrators ensure the expected quality of the environment or mitigate the impacts of the negative effects of the external environment. This article presents an example of the synthesis of several systems used in building information modeling and uses them for modeling and simulating external factors in the built environment. By appropriate application of the methods, places of interest that are affected by the negative effects of air flow, or the spread of pollution through the built environment, were illustratively visualized. The presented study was created based on publicly available data on air pollution in the territory of Ostrava city.

The aim of this contribution is to present the R-WIM (Rainwater Information Management) tool, which was created based on an extensive database of territory parameters, weather, surface runoff, etc., and in accordance with the requirements of municipalities. This tool was created especially for the purpose of identifying places where it is appropriate to implement elements of blue-green infrastructure. This tool was created on the basis of the smart urbido s.r.o. software 2.0, which allows working with a wide range of graphic and non-graphic information so that it is possible to link them together functionally and computationally, and to model the necessary spatial phenomena within the environment of selected cities of the Moravian-Silesian Region of the Czech Republic.

This article focuses on the information modeling of buildings and its subsequent extension to the information modeling of cities, which can be considered as the main topics of the construction industry development. It offers new knowledge for city management, facility management and other fields of construction sector. Information modeling of buildings and cities creates a suitable basis for the creation of various simulations (acoustic, thermal, environmental influence, sunlight or the spread of pollution) and analyses. Simulations and results obtained from them can help us in the decision-making phase, they predict problems or unexpected situations during the life cycle of cities and buildings, and thus make it possible to prevent their occurrence. In the second part of the contribution, an innovative model, the so-called R-WIM, is presented. BIM modeling methods were used for the research and extended to the public environment. The expansion of the public environment digitization enables to obtain a sufficient amount of information about the public space and then subsequently combine them with static weather data. This model deals with Urban Water Infrastructure with the focus on Rainwater Management and has been developed for the particular needs of individual municipalities in the process of solving problem situations associated with rainwater, which is very current due to climate change, and municipalities require appropriate tools to predict the behavior of rainwater so that various compensatory measures can be created.

BIM is a concept and also a method currently applied throughout the world in the modern building construction. The impact and benefits of the BIM method are clear across all stages of the life cycle of buildings (project, realization, operation, demolition). The longest and most expensive phase of buildings life is the operation and usage part. Many common aspects and linkage of processes between the BIM method and the facility management, i.e. a modern asset management method, can provide greater efficiency for these activities, help reduce the cost of required building operations and maintenance and save time for individual activities. The BIM can be understood as an information management of buildings. Many common elements can create a synergy of processes related to the management of buildings. The article discusses these aspects and emphasizes the listing of the basic data and processes that are necessary for mutual interconnectedness.

The use of building information modelling (BIM), as a process throughout the life cycle of a building, can be found in all types of buildings. Specific phases of buildings’ life are brownfields, buildings that are dilapidated, abandoned and no longer serving their purpose. These buildings are not included in the classical life cycle of buildings because such options are not considered in advance. Many buildings, however, become brownfields for various reasons, and these buildings also need to be addressed in urban engineering. An information model is a realistic representation of the building in a digital form on the basis of graphical and descriptive information data, which unifies into a common digital database and works with all relevant information. The principles of BIM can be used to solve the problem of brownfields in urban areas and to apply the results obtained in the process of decision making and realisation of regeneration. Particular simulations over a digital model include, for example, how impacted are structures exposed to strong wind conditions or the impact of the surrounding area on the wind flow through the site and the spreading of pollution or contamination to the surrounding area.