UNICA-pilot – Autonomous non-intrusive condition assessment of infrastructure – towards automation, system thinking, and complete solution

UNICA-pilot project aims to demonstrate the feasibility of an intervention-oriented Autonomous Non-Intrusive Condition Assessment – UNICA – process in order to improve the current practices for monitoring and predicting the performance of the aging infrastructure and to enable the transition from current traditional practices to methods with a larger degree of automation and system thinking. The core concept is the optimized/customized integration of three technical platforms:

(1) Inspection: autonomous inspection methods, using unmanned aerial vehicles (UAVs) to minimize intrusion on the transport flow, cover large inspection areas in a minimum of time, access to hard-to-reach areas and minimize exposure to safety hazards for both inspectors and users;

(2) Interpretation: automated vision-based data collection and interpretation methods to detect and quantify geometrical and visual anomalies in 3D both on the surface (cracking and spalling) and sub-surface of reinforced concrete infrastructure;

(3) Prediction: advanced structural simulation combined with deterioration models to leverage the damage detected during inspection and interpretation for a reliable performance prediction and service-life assessment of reinforced concrete infrastructures.

UNICA-pilot demonstrates a safer, quicker and more accurate method for condition assessment of infrastructure ensuring resource-efficiency, accessibility, cost-effectiveness, safety and societal benefits. The multi-disciplinary nature of the proposed solution is fulfilled by leveraging trans-sectorial collaboration between industries, research institutes, universities, and infrastructure owners. Our strong and well-balanced consortium enables structural improvement in current condition assessment processes and results in “novel tools for performance prediction”.

Samarbetande organisationer

  • RISE Research Institutes of Sweden (Forskningsinstitut, Sweden)
  • Stockholms stad (Offentlig, Sweden)
  • Inkonova AB (Privat, Sweden)
Startdatum 2017-05-15
Slutdatum Projektet är avslutat: 2018-06-30
​Projektet genomförs vid avdelningen för konstruktionsteknik, forskargruppen Betongbyggnad.

Concrete Structures; Infrastructure; Condition Assessment; optical remote sensing; vision-based techniques; structural simulation

Relaterade projekt:
  • UNICA-feasibility – Autonomous Non-Intrusive Condition Assessment of Infrastructure
  • Digital Twin I – Comprehensive Condition Assessment for Resilient Transport Infrastructure under Normal Service Conditions and Extreme Climatic Events
  • Digital Twin as a Decision-Making Support Tool for Resilience of Urban’s Infrastructure under Extreme Climatic Events
Kamyab Zandi (Chalmers, project leader)
Holger Wallbaum (Chalmers)
Mathias Johansson (RISE)
Mathias Flansbjer (RISE)
Jörgen Spetz (RISE)
Pau Mallol (Inkonova AB)
Ahmed AlNomany (Inkonova AB)
Björn Hällström (City of Stockholm)
Jörgen Pettersson (City of Stockholm)

Finansieras av

  • Trafikverket (Offentlig, Sweden)

Sidansvarig Publicerad: to 31 maj 2018.