two tools: o RBI Risk Analysis (API 580/581): To determine the frequency and depth of inspections. o Asset Criticality: Evaluated based on the impact on safety (People), environment and production (Lost Profits). 4.2. Stage 2: Design of the Management Model In this phase, the proactive and predictive strategy is built. Sub-activities include: • Establishing Inspection Limits: Defining acceptance thresholds for structural findings. • Rehabilitation Technical Specifications: Development of detailed guidelines for the restoration of integrity, including the development of Class 5 Cost Estimates for budget provision. • Governance and Organizational Structure: Defining specific roles and responsibilities for the Integrity team, ensuring clear ownership of structural risks, and establishing procedures aligned with the organization's operational context. 4.3. Stage 3: Implementation and Deployment Transform design into operational action. • Process and Tool Deployment: Training of personnel in new methodologies and implementation of technological tools (High resolution drones and AI software). • Integration with SAP: Ensuring that the AIM model adheres to the company's existing processes, allowing structural finding to automatically become a work order (WO). 4.4. Stage 4: Management, Control and Continuous Improvement It focuses on the sustainability and evolution of the model. • Monitoring through KPIs: Tracking key indicators such as "Structural Risk Density" and "Mitigation Effectiveness". • PDCA cycle (Plan – Do – Check – Act): Periodic updating of the management framework based on operational changes, lessons learned, and advances in diagnostic technologies (such as new neural networks for crack detection). 5. TECHNOLOGICAL INNOVATION: IMAGE PROCESSING WITH AI The technological core of the model lies in the ability to transform massive images into engineering decisions. 5.1. System Architecture: Computer Vision and Neural Networks The processing uses state-of-the-art Neural Networks specialized in image segmentation.
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