کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6479107 1428279 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
BIMSL: A generic approach to the integration of building information models with real-time sensor data
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
BIMSL: A generic approach to the integration of building information models with real-time sensor data
چکیده انگلیسی


- Integration of BIM and real-time data is still performed in a very ad-hoc way.
- A standard framework to explore sensor data in the context of BIM is missing.
- A domain-specific language would provide gains in expressiveness and ease of use.
- A generic approach to integrate BIM and real-time sensor data has been developed.
- The proposed language, BIMSL, was tested and its pertinence demonstrated.

The surge of interest in digital building models combined with increasing sensorization of spaces is prompting an integration of Building Information Modelling (BIM) with real-time sensor data. However, current approaches reported in literature either remain theoretical or target very specific application domains, showing that there is no generic approach to assist in the creation of service and application software that combines sensor data with BIM models.The solution presented in this article addresses the engineering complexity associated with integrating sensor data with BIM by leveraging an advanced software engineering technique known as a Domain-Specific Language (DSL). We demonstrate also that the language herein proposed, named Building Information Modeling Sensor Language(BIMSL) provides substantial gains of expressiveness and ease of use in developing queries that process sensor data with complex conditions over BIM models. BIMSL is validated with experienced software developers according to a consistent evaluation protocol for DSLs focused on effectiveness, efficiency, satisfaction, and usability attributes. The results outperform the standard existing alternatives, indicating that our proposal contributes to reducing the human effort associated with integrating BIM with sensor data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 84, December 2017, Pages 304-314
نویسندگان
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