Dynamic GUID Segmentation for Equipment Maintenance Data Management
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Solution Overview
Problem
Companies face challenges in determining which equipment to track individually for maintenance management, especially in regulated industries, due to rapid technological changes and shortened equipment life-cycles, leading to a growing number of items that need to be monitored, and existing systems lack efficiency in data management and storage.
Innovation Solution
A dynamic object identification system using globally unique identifiers (GUIDs) that can be updated, combined with RFID tagging, to track and manage equipment, allowing for self-optimization of which objects to track individually, as spares, or delete, and prioritizing critical assets, while minimizing data storage and management costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If companies track more equipment individually to improve maintenance management, then maintenance reliability improves, but data management complexity and storage costs increase
Solution Approach 1:
The patent segments equipment data into hierarchical levels (asset level, equipment level, component level) and applies selective tracking. Not all equipment requires individual tracking - the system divides data management into manageable segments based on criticality, allowing companies to track only essential equipment individually while grouping less critical equipment, thereby maintaining reliability without overwhelming data complexity
Solution Approach 2:
The patent applies different data management approaches to different equipment based on local characteristics. Critical equipment receives detailed individual tracking with comprehensive data collection, while non-critical equipment uses simplified tracking or grouping. This localized quality approach ensures high reliability for important assets without incurring data management costs for all equipment uniformly
2Reliability
If companies track more equipment individually to improve maintenance management, then maintenance availability improves, but data storage costs increase
Solution Approach 1:
The patent extracts and stores only the most critical equipment data in central databases, while less critical data is either stored locally or not stored at all. The system identifies and extracts essential maintenance information (failure rates, criticality scores, basic asset details) for individual tracking, while deriving or omitting less important data, thereby reducing overall storage volume while maintaining availability for critical assets
Solution Approach 2:
The patent implements dynamic data retention where the amount of data stored for each equipment item changes based on its current criticality status, usage patterns, and maintenance history. Equipment that becomes more critical automatically receives more detailed tracking and storage, while less critical equipment has reduced data retention, allowing the system to optimize storage costs dynamically while ensuring availability when needed
3Productivity
If companies implement comprehensive equipment tracking to improve maintenance optimization, then maintenance productivity improves, but system complexity increases
Solution Approach 1:
The patent performs preliminary classification and criticality assessment of equipment before implementing tracking systems. By pre-identifying which equipment requires individual tracking versus grouping based on initial risk assessments and maintenance history, the system avoids the complexity of managing all equipment individually from scratch. This preliminary action establishes a simplified tracking framework that can be expanded selectively
Solution Approach 2:
The patent changes key parameters such as data collection frequency, detail level, and tracking intensity based on equipment criticality rather than applying uniform comprehensive tracking. Critical equipment receives high-frequency detailed monitoring that maximizes productivity, while less critical equipment uses lower-frequency or aggregated tracking, reducing system complexity while maintaining overall maintenance productivity through optimized resource allocation
Data Source
AI summary
Methods and apparatus, including computer program products, for data management pertaining to master data management, processing, and optimization; to maintenance management; and to asset management. A master data management system may include a dynamic object identification system. The dynamic object identification system may identify objects using a segmented and coded globally unique identifier. The globally unique identifier may be updated while the objects are within the system. The globally unique identifier may comprise coded segments including a personal identification number, an external key, technical data, and administration data. The technical and administration data may be more or less detailed, depending on, among others, the object, its history of use, and its present circumstances. Implementation of the asset management system may include the use of radio-frequency identification (RFID) tags. The RFID tags may store detailed object information, including critical object information and a globally unique identifier.