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Beidi Li

PhD Student

Beidi Li

Profile

Project title: An AI-based system for health and safety constraint checking in large public buildings

Project description:
The wellbeing of occupants in the built environment has become a rising issue in today’s society. Primary user concerns in large-scale public buildings can be described as:

  • health and safety control
  • accessibility
  • easy wayfinding
  • sense of privacy
  • appropriate contingency plan
  • continuity in space
  • daylighting

The widely deployed digital process, BIM (Building Information Modelling), contains comprehensive information about buildings' design features. BIM adopts an object-oriented approach and represents building objects (storey, door, air duct, furniture, space, etc.) at a high abstraction level, instantiated by location, type, geometry and properties.

Although BIM investigates buildings’ pre-occupancy performances thoroughly, it fails to examine the “spatial artefacts” induced by people living in them. Namely, people’s lines-of-sight, physical and psychological reaction to the surroundings, and frequent activities which can vary greatly from a child to an adult, and to a disabled person with functional impairing.

This project aims to use declarative programming to translate semantic constraints expressed in natural language (e.g. students sitting in an amphitheater should be able to see the lecturer) as machine-readable geometric and topological relationships. Existing BIM specifications will be extended by entities and rules to capture real life scenarios where people perceive and interact with the spaces. Artificial intelligence and computer vision will be used to interpret low-level field data such as high-level human cognitive responses and to compare design alternatives in terms of user-friendliness.

The project outcome is expected to promote a holistic, integrated and human-centered design by constantly checking descriptive requirements throughout the building life-cycle. The AEC (Architecture, Engineering, Construction) industry will then have the opportunity to benefit from an intuitive, integrated and intelligible tool for validation of qualitative and numerical data.

Supervisors: Prof. Peter Gorm Larsen and Assistant Prof. Carl Peter Leslie Schultz

Profile

My main research interest is the digitalization in the construction industry, in the light of emerging approaches such as AI and computer vision. In particular, logic programming tools will be coupled with Building Information Models to operationalize user experiences and to support an intuitive, intelligent and interoperable data flow.

 

I hold a Master’s Degree in Civil and Architectural Engineering from KTH, Sweden and a Master’s Degree in Mathematics and Physics (Ingénieur Généraliste) from École Centrale Paris, France.

 

My previous research has targeted the early-stage building energy simulation and the real-time integration of sensor data into the as-realized building model.

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