Digitalization of culturally significant buildings: ensuring high-quality data exchanges in the heritage domain using OpenBIM

Cultural heritage building information models (HBIMs) incorporate specific geometric and semantic data that are mandatory for supporting the workflows and decision making during a heritage study. The Industry Foundation Classes (IFC) open data exchange standard can be used to migrate these data between different software solutions as an openBIM approach, and has the potential to mitigate data loss. Specific data-exchange scenarios can be supported by firstly developing an Information Delivery Manual (IDM) and subsequently filtering portions of the IFC schema and producing a specialized Model View Definition (MVD). This paper showcases the creation of a specialized IDM for the heritage domain in consultation with experts in the restoration and preservation of built heritage. The IDM was then translated into a pilot MVD for heritage. We tested our developments on an HBIM case study, where a historic building was semantically enriched with information about the case study’s conservation plan and then checked against the specified IDM requirements using the developed MVD. We concluded that the creation of an IDM and then the MVD for the heritage domain are achievable and will bring us one step closer to BIM standardisation in the field of digitised cultural buildings.

Machine Learning Framework for the Sustainable Maintenance of Building Facilities

The importance of sustainable building maintenance is growing as part of the Sustainable Building concept. The integration and implementation of new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generate a large amount of data that will be utilized to better manage the sustainable building maintenance and staff. Anomaly prediction models assist facility managers in informing operators to perform scheduled maintenance and visualizing predicted facility anomalies on building information models (BIM). This study proposes a Machine Learning (ML) anomaly prediction model for sustainable building facility maintenance using an IoT sensor network and a BIM model. The suggested framework shows the data management technique of the anomaly prediction model in the 3D building model. The case study demonstrated the framework’s competence to predict anomalies in the heating ventilation air conditioning (HVAC) system. Furthermore, data collected from various simulated conditions of the building facilities was utilized to monitor and forecast anomalies in the 3D model of the fan coil. The faults were then predicted using a classification model, and the results of the models are introduced. Finally, the IoT data from the building facility and the predicted values of the ML models are visualized in the building facility’s BIM model and the real-time monitoring dashboard, respectively.

Risk Information Management and Social Media Platforms: A Strategic Agility of Local Governments to Prevent the COVID-19 Pandemic

This study aims to analyze risk management information models, differences in information on social media, and local governments' strategic agility during the COVID-19 Pandemic. The method in this study uses qualitative content analysis and the Nvivo-12 Plus analysis tool. Based on data analysis, risk information through social media has not built a stronger client relationship between government and society. Information content uses videos, pictures, short news, the news itself, and news from other media. The local government's Facebook account's social media functions are divided into three categories: First, providing information related to the spread of the pandemic. Second, the reporting situation, this category conveys information about the condition of government activities, building personal branding in the form of assisting; this function can take the form of overcoming COVID-19 through the provision of disinfectants, use of sanitizers, and providing health education. Third, dialogue related communication, risks, health standards, and public services, as a campaign to be aware of the surrounding conditions. The implication is that strategic agility consisting of sensitivity, leadership unity, and resource fluidity is important.

Analysis of the possibility of using solar energy for the energy supply of the innovative ELTRO transport system for Myanmar

Background: The development and research of the applicability of various mathematical models for calculating the solar radiation of companies is an urgent task for the innovative transport system of Myanmar. Aim: Determination of the daily balance of energy generated by solar panels to perform a given operation of the transport system. Materials and methods: Mathematical, algorithmic and software (based on the Python language) have been developed for energy supply and creation of interactive geo-information models for the ELTRO transport system. Results: To estimate solar resources at a point with coordinates ( = 19.76 s. w.; = 96.07 w. d.), data from the databases "NASA", "Meteonorm" and the Myanmar GMS were used and compared with the actual data on the Myanmar GMS database in order to determine the reliability of the information presented in them. Conclusion: The results obtained made it possible to determine the structure of the solar energy supply system and the parameters of typical solar energy modules that provide energy supply not only to the transport system, but also to the adjacent territories.

BIM-Based Methodology for the Management of Public Heritage. CASE Study: Algeciras Market Hall

Building Information Modelling (BIM) is modifying the workflow of the construction field, not only in design and construction stages but also for the management of the facilities. Most advances in academics and industry have focussed on the use of BIM for building. However, the possibilities of the use of three-dimensional information models for the construction and management of public works and civil engineering infrastructure projects (known as CIM) are still a matter of concern, being complex though offering a wider number of possibilities when compared with regular building industry. Moreover, the construction process in comparison with its lifespan represent only a small part of the investments for the use of public works. With this background, the possibilities based on BIM for the maintenance and rehabilitation of public heritage (HCIM) can greatly improve traditional management capabilities. Making best use of BIM and digitalisation for the management of public heritage (HCIM) requires creating tools for documentation, registering and data management to permit the adequate information transfer between the actors involved. Such actors may be experts or not and hold or not skills to use BIM tools. This study proposes the creation of a database to support the regular inspection during the lifespan of the infrastructure and connect it with the three-dimensional information model, serving the latter as an information repository of the whole life of the infrastructure. Such data include damage and causes as well as a description of the pathology and this information is referred to each element, showing all the historic measures taken. In addition, quantification and quotation of the repairs needed can be obtained. Lastly, the study has applied this methodology in Algeciras Market Hall, the notorious rationalist building designed by the engineer Eduardo Torroja and built in 1935. The results shown in this study can be of great interest for both researchers and practice, with an adaptation and innovation of the BIM and HCIM possibilities.

Information modeling in the context of highways property complex management

This article reveals the topic of the implementation of information modeling in the legislation of the Russian Federation. The world experience of creating information models of capital construction and the main features of control and standardization of BIM formation are considered. The analysis of the existing legal framework is carried out in relation to the responsibilities of organizations for the formation and maintenance of information models. The scheme of the life cycle of the model was developed. The article is related to the field of highways property complex management. The main features of the formation of BIM roads, their systematization, storage and regular updating were identified. As a result of the study, a geoportal of highways was developed for the modernization of the land and property complex management of highways. It serves as the basis for geoinformation support for information modeling, cadastral, urban planning, inventory and other works on highways. Conclusions and recommendations for the further development of this area in the territory of the Russian Federation are presented.

Cognitive Modelling of the State of an Object-Based on a Thought Experiment

Introduction. At the current level of development of research in the field of artificial intelligence, it is defined as a set of technological solutions that allow simulating cognitive functions, obtaining results comparable to the results of human intellectual activity. In this regard, the problem arises of creating a technology that imitates the cognitive functions of analyzing the state of objects when the conditions of their functioning change. Analysis of the status of objects in the different problems of environmental, technical, social, political and other nature is carried out most often on information models. The peculiarity of their solution lies in the fact that it is necessary, as a rule, to restore indefinite, sometimes not amenable to quantitative analysis, dependencies and patterns. Since full-scale experiments in these subject areas are often impossible, and sometimes very expensive and even dangerous, the only research method in this case is a thought experiment using the method of experimental perturbations of the state of an object. Purpose. The purpose of the article is to create a method of cognitive modelling based on a thought experiment for the problem of assessing the state of an object from incomplete and fuzzy data. Methods. To implement the method of cognitive modelling based on a thought experiment, the method of a mental complete factor experiment (MСFE) is applied using the method of experimental perturbations. Results. To implement the method of cognitive modelling based on a mental experiment, a procedure has been created that evaluates the state (behaviour) of an object in a present or anticipated future situation based on the method of a mental complete factor experiment (MСFE) using the method of experimental perturbations. The developed procedure makes it possible to obtain solutions to the problem of predicting the state of a certain object in the future using incomplete and fuzzy data and using an expert “built in” to evaluate the forecasting results. Conclusion. The results of the research presented in this article, which are conceptual in nature, show the possibility of creating elements of technology that imitate the cognitive functions of analyzing the state of objects when changing the conditions of their functioning using a thought experiment. The developed method can be used to solve the problems of assessing the state of various objects when creating intelligent information analysis systems in order to obtain new knowledge about the object.