Bim-Gis Oriented Intelligent Knowledge Discovery

Abstract

<p><strong>Abstract.</strong> Urban and population growth results in increasing pressure on the public utilities like transport, energy, healthcare services, crime management and emergency services in the realm of smart city management. Smart management of these services increases the necessity of dealing with big data which is come from different sources with various types and formats like 3D city information, GPS, traffic, mobile, Building Information Model (BIM), environmental, social activities and IoT stream data. Therefore, an approach to mine/analysis/interpret these data and extract useful knowledge from this diverse big data sources emerges in order to extract the hidden pattern of data using computational algorithms from statistics, machine learning and information theory. However, inconsistency, duplication and repetition and misconducting with the different type of discrete and continuous data can cause erroneous decision-making. This paper focuses on providing a rules extraction and supervised-decision making methods for facilitating the fusion of BIM and 2D and 3D GIS-based information coupling with IoT stream data residing in a spatial database and 3D BIM data. The proposed methods can be used in those applications like Emergency Response, Evacuation Planning, Occupancy Mapping, and Urban Monitoring to Smart Multi-Buildings so that their input data mostly come from 2D and 3D GIS, BIM and IoT stream. This research focus on proposing the unified rules extraction and decision engine to help smart citizens and managers using BIM and GIS data to make smart decision rather than focus on applications in certain field of BIM and GIS.</p>

Extraction and Transformation of Ifc Data to Citygml Format

“…However, in some situation, the difficulty(s) in forecasting the model integration result is as a result of the challenges that are related to interoperability between GIS data and BIM data. This is coupled with the fact that the two systems of GIS and BIM are primarily designed for a different purposes (Amirebrahimi et al, 2016) and from different knowledge area (Kiavarz et al, 2018) with their own specialized functionalities, and have been used by different specialist over time. Also, the two systems of GIS and BIM have two different data exchange formats such as; City MarkUp language (CityGML) and Industry Foundation Classes (IFC) respectively.…”

Integração Iot E Gis: Uma Revisão Sistemática De Suas Aplicações

“…Isiktag e Pilouk (2016) desenvolveram um experimento para uma arquitetura de aquisição de informação em tempo GeoJSON. A quarta é descrita pelo serviço GeoEvent, que é capaz de consumir feeds GeoJSON e representar as informações fornecidas pelos nós IoT em tempo real Kiavarz et al (2018),. propuseram abordagem voltada a mineração, análise e interpretação de dados BIM, GIS e IOT, objetivando fornecer um mecanismo inteligente que facilite sua fusão.…”