- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Each domain industry requires the detailed specifications for sharing and exchanging building information models throughout the design, construction, and operation phases. Industry Foundation Classes (IFC) Model View Definitions (MVDs) specify required information for exchanges of building model data among building project experts. The data involves the identification of model semantics shared by two or more applications. However, since no robust standard for defining building semantics and requirements for data exchange has been agreed upon, information embedded in domain-specific MVDs are generated separately and are vague in scope, which results in a lack of consistency. In addition, the Information Delivery Manual (IDM) that includes exchange specifications needed for each exchange process of a product model is manually defined in a paper-based document. Because there is no clear logical link between the units of information in the exchange requirements of an IDM, and those of MVDs, the mapping that translates requirements of an IDM into ones of an MVD is open to various interpretation, without semantic and logical consistency. Such challenges might result in redundant requirements and rules for data exchange that are not supposed to be handled in the process of MVDs. To ameliorate this situation, this research proposes the new approach of formalizing domain knowledge and defining accurate data modules for model views. To achieve this goal, the authors employed ontological principles for generating an IDM for the precast concrete domain and for linking its MVD with formal information models. The formalized structure of domain knowledge is expected to support defining explicit data modules and developing manageable relationships among entities using semantic reasoning so that domain professionals and software vendors can identify the intents of the requirements of mapped MVDs and keep track of mapping problems. Moreover, to integrate IDM and MVD development processes, the ontology-based IDM is parsed and translated from OWL/XML to mvdXML, which automatically generates MVD documentation in the IfcDoc tool.
Design professionals are generally aware that the trend of building design is toward BIM . However, lack of software interoperability and functionality are rated as one of the greatest obstacles in the BIM application . As a result, domain experts require an MVD as indispensable specifications for their distinct business regulations and data exchange requirements. Based on the aforesaid critical success factors, an ontological IDM and MVD development is a critical need for professionals because no common and robust definition for building semantics has been agreed upon, which results in vague and separate IDM data and a lack of consistency. Hence, an ontology-based approach to developing an IDM and an MVD is imperative to collect required data, shared predefined requirements, and implement the dataset for guaranteeing consistent data structure and integrating MVD development processes. This proposed ontology-based framework would help accurately recognize domain knowledge and appropriate requirements for developing reusable concept modules. Moreover, this integrated approach would contribute to accelerating the use of BIM and facilitating the process of current design and construction work for the AEC industries, guaranteeing interoperable data exchanges. This opportunity will offer the values of greater regulatory predictability and consistency that reduce human errors in a design process and improve design quality. The ultimate goal of the ontology-based IDM and MVD is not only to put in place an automated knowledge framework, but also to offer the impetus to gear up the AEC industry toward greater interoperability through the secured deployment of the IFC-based BIM applications. Hence, this research related to the automated process of a design would bolster the adoption of BIM and its accessories starting during the predesign phase, collaborating with the practitioners at government organizations and diverse industries.