Construction industry (WP8)

Work Package WP8 focuses on the construction sector and is based on a systematic, multi-stage methodology that integrates advanced data acquisition, a multi-agent AI framework with an MLLM orchestrator, and the on-site implementation of results. The research links Scan-to-BIM processes and building diagnostics with adaptive manufacturing, thereby creating a comprehensive and intelligently managed ecosystem with the potential for long-term development.

The main objective of WP8 is the comprehensive optimisation of construction processes and the automation of structural diagnostics, with a direct link to Building Information Modelling (BIM) and construction schedule management. The work package will deliver advanced methodologies, software tools and proven technologies with a clear practical impact on streamlining and modernising real-world construction practice.

What problem does the WP solve, and why is it important?

Structural diagnostics and quality control on site are slow and prone to human error

Digitising buildings is labour-intensive, and the data is difficult to integrate with BIM modelling

Construction schedule management lacks dynamism and is unable to respond flexibly to changes in real time

Field data collection is fragmented and lacks automated orchestration

Adaptive production is not sufficiently linked to the actual situation on site

Examples of use / areas of application and benefits

Industrial construction

  • Automated real-time quality control
  • Dynamic time management of the construction project

Manufacturing and modular construction

  • Reducing scrap rates and material consumption
  • A contribution to decarbonisation

Building diagnostics and management

  • Extending the service life of buildings
  • Optimisation of operating costs

Key people

prof. Ing. Bc. Radoslav Sovják, Ph.D., LL.M.

National Centre for Construction 4.0 | CIIRC CTU

Participating institutions

Used technologies and procedures

Achieved and planned results

2027

AI applications for the semantic analysis of point clouds in the construction industry

2028

ZoomBoxAI – Adaptive bending control in the ZoomBox machine using AI

In situ monitoring unit for construction processes

2031

An AI system for monitoring the production processes of building structures