Cloud AOG Platform for Aircraft Maintenance Resource Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing solutions for managing aircraft-on-ground (AOG) situations are inefficient as they require high computing systems integration and cannot automatically identify component failures, making it difficult for medium to small organizations and independent professionals to participate, and do not effectively match demand and supply of resources on a global scale.
Innovation Solution
A Smart & Shared Services Platform (S3P) that utilizes a network of computing devices connected to a central NOV management server, collecting and transmitting data to ground and mobile stations, submitting maintenance requests to nearby mechanics and MRO systems, and geolocating resources to efficiently assign suitable mechanics and materials for AOG situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing AOG management solutions are implemented, then maintenance requests can be submitted to mechanics and MRO systems, but the system complexity and integration requirements become too high for medium to small organizations to participate
Solution Approach 1:
The patent introduces a cloud-based AOG management platform that acts as an intermediary between aircraft operators, mechanics, and MRO systems. This platform receives AOG data from aircraft, processes it to identify failures and required resources, and automatically submits maintenance requests to appropriate mechanics and MRO systems. By centralizing the complex integration logic in the cloud platform, medium and small organizations can participate without needing to implement complex local integration systems.
Solution Approach 2:
The system enables automatic failure identification and resource matching through AI/ML algorithms that process AOG data without human intervention. The platform automatically identifies component failures, determines required spare parts and tools, and matches them with available mechanics and MRO systems. This self-service capability reduces the operational burden on participating organizations while maintaining high levels of system functionality.
2Productivity
If traditional AOG management methods are used, then maintenance can be performed, but the downtime and costs increase due to inefficient resource matching
Solution Approach 1:
The system performs preliminary actions by automatically identifying component failures and matching required resources (spare parts, tools, mechanics) before the aircraft can be returned to service. The AI/ML algorithms analyze AOG data, determine the root cause, and pre-identify the necessary maintenance resources, enabling faster turnaround time and reducing aircraft downtime.
Solution Approach 2:
The system implements continuous feedback loops where AOG data from multiple aircraft is collected, analyzed, and used to improve the accuracy of failure identification and resource matching algorithms. The platform tracks the effectiveness of maintenance actions and uses this feedback to refine its recommendations, continuously improving productivity and reducing downtime over time.
3Reliability
If comprehensive resource tracking is implemented to reduce downtime, then visibility into solution progress is improved, but the cost and complexity of the system increases
Solution Approach 1:
The cloud-based AOG management platform provides multiple functions including failure identification, resource matching, maintenance request submission, and progress tracking through a single integrated system. This universal platform serves multiple purposes without requiring separate complex systems for each function, reducing overall system complexity while maintaining high reliability and visibility into solution progress.
Data Source
AI summary
A network of computing devices connected to the central AOG management server execute the process of collecting data from a crew with a maintenance controller, supporting the creation of an unique electronic data package to record the data, submitting a maintenance requests from the server to independent mechanics mobile devices and/or maintenance repair and overhaul (MRO) computing systems for maintenance using the collect data, supporting maintenance control center controller to identify the needed materials for the events, providing visibility of the case solution progress to all parties involved and/or effected and providing ways to retrieve all data related to specific cases and creating analyses and reports to support Vehicles Operators (e.g., Airlines), independent mechanics, MROs (maintenance repair overhaulers), material providers and OEMs to improve their processes to solve events.