АНАЛИЗ МЕТОДОВ ПЕРЕВОДА ТРЕБОВАНИЙ НОРМАТИВНО-ТЕХНИЧЕСКОЙ ДОКУМЕНТАЦИИ В МАШИНОЧИТАЕМЫЙ ФОРМАТ ДЛЯ ПРОВЕРКИ ИНФОРМАЦИОННЫХ МОДЕЛЕЙ СТРОИТЕЛЬНЫХ ОБЪЕКТОВ
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

ANALYSIS OF METHODS OF REGULATION REQUIREMENTS TRANSLATION INTO MACHINE-READABLE FORMAT FOR VERIFICATION OF BUILDING INFORMATION MODELS

Makisha E.V.  

UDC 004.94+721.021
DOI: 10.26102/2310-6018/2019.25.2.0

  • Abstract
  • List of references
  • About authors

Currently, the project documentation is submitted for examination in the form of electronic documents that normally contain text and graphic information. Standards, which requirements the project documentation should meet during the examination, are published in electronic, but not machine-readable form. In recent years, specialists of the construction industry of Russian Federation fully realize the need of automated examination, which can be available if both sides of the process - design results and relevant standards - are presented in machine-readable form. This article reveals the results of existing approaches analysis how to transfer into the machine-readable form the regulation requirements for the building information model as a form of design results presentation for automated examination. The most promising of them is the language of knowledge representation based on the rules. There are criteria for machine readable presentation established and extended. The RuleML language is suggested as a solution, since it meets the criteria mentioned and is fixed in the regulation standards for information modeling. The RuleML based method of machine-readable requirements is acquired, which may in future be implemented within the transition to automated examination in the scope of Russia Federation and as a unified approach on the international level

1. Ginzburg A.V., Kulakova V.V., Kulikova E.N., Malykha G.G., Sheina S.G. Nauka i biznes: puti razvitiya. 2018. No. 9. pp. 22-28.

2. Kontseptsiya vnedreniya sistemy upravleniya zhiznennym tsiklom obektov kapitalnogo stroitel'stva s ispolzovaniem tekhnologii informatsionnogo modelirovaniya [The concept of implementing a lifecycle management system for capital construction objects using information modeling technology]. Informatsionnyy portal Natsionalnogo obedineniya izyskateley i proektirovshchikov. URL: nopriz.ru/upload/iblock/b6f/Kontseptsiya-BIMpervaya-redaktsiya.pdf (date of access: 26.04.2019)

3. Galkina E.V. Nauchno-tekhnicheskiy vestnik Povolzhya. 2018. №6. pp. 95- 97.

4. Galkina E.V. Nauchnoe obozrenie. 2017. no. 21. pp. 159-161.

5. Eastman C., Lee J.-M., Jeong Y.-S., Lee J.-K. Automatic rule-based checking of building designs // Automation in Construction. 2009. v. 18. pp. 1011–1033.

6. Lee H., Lee J.-K., Park S., Kim I. Translating building legislation into a computer-executable format for evaluating building permit requirements // Automation in Construction. 2016. v. 71. pp. 49-61.

7. Yurin A.Yu., Dorodnykh N.O., Korshunov S.A. Programmnye produkty i sistemy. 2018. v. 31. № 4. pp. 667-662.

8. Hjelseth E., Nisbet N. CIB W78 2011 28th International ConferenceApplications of IT in the AEC Industry, Sophia Antipolis, France, 2011. URL: academia.edu/32697265/Capturing_Normative_Constraints_by_Use_of_the_ Semantic_Mark-Up_Rase_Methodology (date of access: 08.06.2018)

9. Beach T., Kasim T., Li H., Nisbet N., Rezgui Y. Towards automated compliance checking in the construction industry // Database and Expert Systems Applications, eds.: H. Decker, L. Lhotská, S. Link, J. Basl, A. Tjoa. Berlin Heidelberg: Springer, 2013. v. 8055. pp. 366–380.

10. Nawari N.O. Automating codes conformance in structural domain // ASCE International Workshop on Computing in Civil Engineering, Miami, Florida, June 19–22, 2011. URL: ascelibrary.org/doi/abs/10.1061/41182%28416%2970 (date of access: 08.06.2018)

11. Zhong B., Ding L., Luo H., Zhou Y., Hu Y., Hu H. Ontology-based semantic modeling of regulation constraint for automated construction quality compliance checking // Automation in Construction. 2012. v. 28. pp. 58–70.

12. Dimyadi J., Governatori G., Amor R. Evaluating LegalDocML and LegalRuleML as a Standard for Sharing Normative Information in the AEC/FM Domain // Proc. Lean & Computing in Construction Congress (LC3) Heraklion, Greece, July 4-7, 2017. v. 1. pp. 637-644.

13. Solihin W., Eastman C. Classification of rules for automated BIM rule checking development //Automation in Construction. 2015. v. 53. pp. 69-82.

14. RuleML. URL: http://wiki.ruleml.org/index.php/RuleML_Home (date of access: 08.06.2018)

15. Boley H. Paschke A., Athan T., Giurca A., Bassiliades N., Governatori G., Palmirani M., Wyner A., Kozlenkov A., Zou G. Specification of RuleML 1.02. URL: ruleml.org/1.02 (date of access: 21.01.2019)

Makisha Elena Vladislavovna

Email: MakishaEV@mgsu.ru

Moscow state university of civil engineering

Moscow, Russian Federation

Keywords: construction, information modeling, construction system, construction cybernetics, verification of information modeling, automated check of information modeling, machine-readable standards

For citation: Makisha E.V. ANALYSIS OF METHODS OF REGULATION REQUIREMENTS TRANSLATION INTO MACHINE-READABLE FORMAT FOR VERIFICATION OF BUILDING INFORMATION MODELS. Modeling, Optimization and Information Technology. 2019;7(2). Available from: https://moit.vivt.ru/wp-content/uploads/2019/05/Makisha_2_19_1.pdf DOI: 10.26102/2310-6018/2019.25.2.0 (In Russ).

1011

Full text in PDF