Meisam Yousefzadeh email@example.com
Meisam is a PDEng student in CTW department working on a platform design to accelerate retrieving essential parameters from spatial data collected by measurement tools for energy modelling purposes. This position was partly supplied by 3D Geo Solutions company.
Before starting this project, Meisam was doing a research on façade modelling using terrestrial laser data in the university of Twente (Dep. ITC). Meisam got his M.Sc. in Geomatics engineering and Photogrammetry from Tehran University. He has more than 7 years of experience in programming and development projects especially in geometrical analysis and three dimensional modeling.
Qualified energy modelling for building depends on proper definition of various parameters. Considerable part of these parameters are based on architectural and geographic characteristics of the building. The visible layout of heating and cooling systems also provides lots of useful information for Energy modelling. Therefore 3D representation of the building model would be useful to extract required attributes if building objects have proper semantic and geometric definition. However geometric information extraction from laser point cloud is a time and labour consuming process.
Defining a platform which enables the user to extract required parameters from measured geo-data such as laser points or images and to transfer them to an appropriate format readable by energy modelling software is the main incentive of this proposal. By having this platform, user can directly manage a chain of the processes from measured data to energy analysis results and corresponding simulations. The product expected to has following attributes:
High automation level: the system will be designed to extract the most of required information as automatic as possible. However full automation is less likely to be possible. The vision is limited user interaction with simple inquiries and few mouse clicks.
Upgradable: as the building information is available in different level of details, modeling system has to be flexible enough to process the data with different accuracies. It means coarse data analysis can be updated through this system.
Simplicity: the structure has to be easy to follow. Complexity and exceptional conditions has to be avoided as much as possible.
A real-time modeling system is a dynamic system which obtains raw data from input section, process them through specific analysis and finally delivers achieved information to the user in standard formats. Thus an ideal system composed of following functional units:
Measurement: Translation of data to some meaningful parameters is the aim of this unit. Laser point cloud, topological and thematic maps, metadata measured by local sensors and energy consumption history of the building are assumed as input data to the system. Extraction of required BIM and geolocation information and translating them to the energy modelling language is the main function of this unit.
Modeling: This unit assumed as the most developing part of the system. The first step is exploring among developed software and methods to find the most useful ones. In the next step their functionality will be characterized regarding to the CityGML standards and BIM. Model generation will rely on developed software. However local improvement by programming also might be part of this work.
User interface: Efficient user interactions are essential as the user can cover the shortages of automatic modelling through a few efforts. This interface also enables the user to request for specific analysis. Moreover the user the user can observe the process and receive the output in required format. Existing software will be explored to find a suitable platform for user interaction. If needed, programming skills also will be utilised to develop a simple interface. Visualisation will be part of the work.
Figure 1 shows the connection between these units.