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AI-Enhanced Structural Health Monitoring for Bridges
IT BRIDGE – AI-powered monitoring and predictive analysis system for bridge infrastructure
Use Case:
Development of an AI-assisted solution for preprocessing and analyzing structural data collected from bridge inspections to enhance safety reduce maintenance costs and support predictive infrastructure management.
Outcome:
AI model designed to process and learn from sensor-based bridge inspection data; Business Model for AI adoption co-created using iterative, agile methodology; Roadmap for pilot deployment and field testing with three end users.
Ecosystem Support:
Technical mentoring through StairwAI, support with agile business model development, and access to AI adoption methodologies and frameworks.
AI Relevance:
This project illustrates AI democratization for SMEs by: I) integrating AI into traditional infrastructure domains; II) building data pipelines from real-world sensor inputs; III) lowering entry barriers via expert-guided feasibility planning; IV) using agile frameworks for rapid AI adoption and validation.
Summary:
IOT CONSTRUCTION, a Polish SME focused on digital tools for infrastructure, developed the IT BRIDGE system to automate the analysis of structural health data for bridges. The solution targets a growing demand for intelligent infrastructure management by enabling early detection of structural issues and optimizing maintenance cycles. The company aimed at the use of AI for processing large volumes of data collected from real bridge inspections and training predictive models for future deployment. Concurrently, the company developed a Business Model for AI adoption using a structured, iterative process that identified key assumptions and customer value propositions. Testing of risky business hypotheses will continue in upcoming pilots involving three potential customers. The project has reached TRL5 and is preparing for further development with AI specialists, aiming to reach field testing in the next six months. This effort paves the way for smart monitoring tools that increase public safety and infrastructure sustainability while reducing the complexity and cost of traditional maintenance operations.
