Bridge Management System

The Vendor is required to provide bridge management bridge management program through data-driven insights, deterioration forecasting, and lifecycle cost optimization.
- System shall utilize advanced computer vision and machine learning techniques to analyze inspection imagery and historical inspection records to assist the county in prioritizing maintenance, rehabilitation, and replacement projects.
- Solution that supports long-term infrastructure asset management and data-driven capital planning.
- Solution should therefore be capable of expanding beyond bridge inspection analytics to support broader public works asset classes (e.g., roads, culverts, drainage infrastructure, and related transportation assets), either natively or through integration with existing asset management systems
- Functional requirements
1. Data integration and compilation
•    Compile and organize existing bridge inspection reports, photographs, and related inspection documentation from multiple sources.
•    Accept inspection data generated from:
o    Handheld cameras
o    Mobile devices
o    Drones
o    Inspection vehicles
o    Existing bridge inspection databases
•    Support common file formats including jpeg, PNG, tiff, video files, and pdf inspection reports.
•    Maintain a centralized digital record of inspection imagery and inspection history for each bridge asset.
•    The platform shall support open data standards and APIs that enable export and integration with other county systems, including enterprise GIS, asset management platforms, and data analytics tools.
•    The county shall retain full ownership of all uploaded data, derived analytics, and model outputs generated from county inspection materials.
•    The vendor shall not use county data to train or improve commercial AI models without explicit written authorization from county.
2. Image association and comparison technology
•    Associate and align images of bridge components captured from different devices and perspectives, regardless of:
o    Time of day
o    Lighting conditions
o    Camera angle
o    Resolution differences
•    Automatically identify the same physical defect or structural element across multiple inspection cycles.
•    Allow inspectors to visually compare images from multiple inspections to determine changes in defect size, severity, or extent.
3. Deterioration detection and tracking
•    Identification and classification of common bridge defects including:
o    Cracking
o    Spalling
o    Corrosion
o    Exposed reinforcement
o    Joint deterioration
•    Tracking of deterioration trends using historical inspection imagery and data.
•    Automatic association of defect images across inspection cycles.
•    Generation of alerts when significant deterioration progression is detected.
•    AI-generated findings must be explainable and auditable. 
•    The system must allow inspectors or engineers to review, validate, and override automated defect classifications.
•    The system must clearly identify AI-generated insights versus human-verified inspection findings.
4. Deterioration timeline and asset history
•    Display defect evolution across inspection years.
•    Provide visual side-by-side comparisons of defect conditions.
•    Estimate deterioration progression rates.
•    Support predictive analysis of future condition states.
5. ROI calculator and forecasting tool
A. The tool shall:
•    Evaluate repair versus replacement scenarios.
•    Estimate lifecycle cost impacts of different maintenance strategies.
•    Forecast infrastructure deterioration and project timing.
•    Calculate ROI for maintenance prioritization and capital allocation.
•    Support budgeting scenarios for various funding levels.
B. Outputs should include:
•    Life extension projections
•    Lifecycle cost comparisons
•    Recommended intervention timing
•    Cost-benefit analysis for competing projects.
6. Maintenance prioritization
•    Rank bridges or bridge components based on:
o    Deterioration severity
o    Safety risk
o    Structural importance
o    Cost efficiency
•    Identify assets requiring immediate attention versus long-term monitoring.
•    Support capital improvement program planning.
•    The system should allow prioritization frameworks to be customized based on county defined criteria including risk, traffic volume, structural criticality, redundancy, and budget constraints.
7. System integration
•    Bridge inspection databases
•    GIS systems
•    Asset management software
•    Transportation infrastructure datasets.
•    Enterprise data warehouses and analytics platforms
•    Capital improvement planning systems
•    Pavement management systems.