Precinct Information Modelling (PIM) describes the process of creating a virtual 3D model at precinct scale, defined as a special region in built environment. PIM contains all the information pertinent the given precinct held in different data type and supports the process of management and analysis.
This technical investigation presents the PIM data schema and database design. The schema is a simplification of CityGML and IFC standards which are widely used for 3D city modelling and building works. PIM considers buildings and infrastructure equally as “built facilities”, which contains buildings, roads, vegetations, terrain etc.
PIM is a whole process that can also be supported by spatial relational database, in order to make it as a central platform for a wide range of internal and external practitioners for planning, designing, delivering and operational management work in the built environment project. It goes further since PIM can become an important resource for the community/city/precinct who use and interact with the built environment, lending critical support for the smart cities and communities that are emerging in response to the challenges of rapid urban development in Australia.
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This report presents a way of structuring and visualising geospatial data and their corresponding semantics and metadata in a Precinct Information Model (PIM). The datasets obtained from UNSW Estate Management (EM) are used in this development. The study is completed through several steps involving pre-processing and storage of data, along with web-based visualisation.
This report presents results of inventory of the administrative structure of UNSW Estate Management (EM), software used, datasets and their content. The study was completed via interviews with employees of EM, and by examination of several datasets provided by Facility Management (FM) department.
The finding can be summarised and considered for PIM as follows:
This scoping project sits across two of the three program areas of the CRC. It aims to assess the scope for developing an integrated building level and cadastrally organised relational database and analysis capacity to link the full range of geo-coded data which will be necessary to operationalize the Living Laboratory concept as well as the broader objectives of the CRC LCL.
This document presents the progress of the Energy, Transport, Waste and Water research project. which currently addresses residential precincts in terms of the characteristics of household types. These household types are derived from Mosaic demographic data.