«Problems and perspectives of modern science and practice» INTEGRATION OF BIM AND CALS TECHNOLOGIES FOR INFORMATION MODELING IN CONSTRUCTION Tetyana Honcharenko, Ph.D., Associate Professor Kyiv National University of Construction and Architecture, [email protected] Viktor Mihaylenko, D.Sc., Professor Kyiv National University of Construction and Architecture, [email protected] Tamara Lyashchenko, Senior Lecturer, Kyiv National University of Construction and Architecture, [email protected] BIM (Building Information Modeling) is an approach to the management of the life cycle of a construction object, which involves the collection and comprehensive processing of information during its life cycle (LC). Information modeling of construction objects is the process of creating and using information on construction objects in order to coordinate input data, organize joint production and storage data, as well as their use for various purposes at all stages of LC. BIM-technologies can be considered as the development of CALS-technologies in relation to construction. Continuous Acquisition and Lifecycle Support (CALS) is continuous information support for the product LC.This is a concept that combines the principles and technologies of information support for LC products at all its stages, based on the use of an integrated information environment (a common information space), providing uniform methods process management and interaction of all participants in this cycle. CALS implements the basic requirements of a series of international standards ISO 9000. The conceptual model of integration of BIM and CALS technologies for information modeling in construction is presented in Fig. 1. A distinctive advantage of using BIM-technology tools is the fact that the model of the construction object is dynamic (variable). After adding changes to the geometry or data of the BIM-model, all interconnections are automatically updated the specified types, data, parameters and documents. The information model allows all participants in the investment and construction process (customer, designer, builder, contractors, suppliers, etc.) to be involved in the team process of creating an object, have the opportunity to discuss, comment and coordinate their actions, track changes, which also increases the effectiveness of the project. Fig. 1. Conceptual model of integration of BIM and CALS technologies for information modeling in construction The key feature of BIM is that at all stages of the LC construction project is considered not as a set of files, but as a database of multidimensional objects. BIM has dualism (on Fig. 2). It is both an information model formation tool and information technology. BIM as a tool is a dynamic database. The requirements for such a tool at the design stage are obvious: understandability for the designer and customer; structure and the ability to be classified; relations, when a change in a base element entails a change in all related elements; ability to quickly make changes and use of templates, filters and other settings; possibility of using the model on the following stages of the LC. BIM as an information technology is the management of the created database. As dynamic information database BIM As information technology Fig. 2. Dualism of BIM Such integration of BIM and CALS technologies will solve four main problems that arise in the field of the construction industry. Firstly, the use of digitization tools will reduce the design time for typical construction sites. Secondly, the quality of construction will increase, ensuring exact compliance with the terms of reference. Thirdly, the efficiency of production processes will improve. And fourthly, increase the scalability and flexibility of the construction process. References 1. Eastman C., Teicholz P., Sacks R., Liston K. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. John Wiley & Sons, Inc., 2011. 611 p. 2. Green BIM. How Building Information Modeling is Contributing to Green Design and Construction. – McGraw-Hill Construction, 2010. 3. Viktor Mihaylenko, Tetyana Honcharenko, Khrystyna Chupryna, Yurii Andrashko, Svitlana Budnik, Modeling of Spatial Data on the Construction Site Based on Multidimensional Information Objects in ‘International Journal of Engineering and Advanced Technology (IJEAT)’, ISSN: 2249-8958 (Online), Volume-8 Issue-6, August 2019, Page No. 3934-3940. URL: https://www.ijeat.org/ /uploads/papers/v8i6/F9057088619.pdf. 4. O. Terentyev, S.Tsiutsiura, T. Honcharenko, T. Lyashchenko, Multidimensional Space Structure for Adaptable in ‘International Journal of Recent Technology and Engineering (IJRTE)’, ISSN: 2277-3878 (Online), Volume-8 Issue3, September 2019, Page No. 7753-7758. URL: https://www.ijrte.org/wpcontent/uploads/papers/v8i3/C6318098319.pdf. 5. Riabchun, Yuliia, Honcharenko, Tetyana, Honta, Victoria, Chupryna, Khrystyna, Fedusenko, Olena. (2019). Methods and Means of Evaluation and Development for Prospective Students’ Spatial Awareness. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8, 11, 4050 – 4058. 6. Biloshchytskyi A., Kuchansky A., Andrashko Yu., Biloshchytska S., Honcharenko T., Nikolenko V. Fractal Time Series Analysis in Non-Stationary Environment. 2019 IEEE Inter. Scient.-Pract. Conf. Problems of Infocommunications. Science and Technology (PIC S&T). Kyiv, 2019. P. 236–240. 7. Su-Ling Fan, Miroslaw J. Skibniewski, Tsung Wei Hung Effects of Building Information Modeling During Construction. – Journal of Applied Science and Engineering. 2014. Vol. 17. No. 2. P. 157–166. 8. Songa S., Yanga J., Kimb N. Development of a BIM-based structural framework optimization and simulation system for building construction. Computers in Industry. 2012. Vol. 63. P. 895–912. 9. Barlish K., Sullivan K. How to measure the benefits of BIM – A case study approach. Automation in Construction. 2012. Vol. 24. P. 149–159.