Packaging Machine Fault Detection With Context-Linked Repair Guidance
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Solution Overview
Problem
Current methods for diagnosing and resolving errors in complex machine lines for filling and packaging food and beverages are inefficient, time-consuming, and lack an integrated system for knowledge transfer and adaptation to new configurations, leading to prolonged downtime and increased costs.
Innovation Solution
A method and system utilizing a digital twin approach, where sensor data is analyzed to identify malfunctions, linked with context, and provides operators with targeted instructions from an instructions database, allowing for real-time error resolution and user-generated modifications to be stored and linked to the database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If extensive PDF documentation systems are used for error diagnosis, then comprehensive error information is available, but the time required to find and understand specific information increases significantly
Solution Approach 1:
The patent segments the extensive PDF documentation into structured, machine-readable error records with specific fields (error type, context, solution steps). Each error is broken down into discrete, searchable units that can be quickly retrieved and presented to operators, eliminating the need to search through hundreds of pages of unstructured text.
Solution Approach 2:
The patent replaces the mechanical翻阅 (manual browsing) of PDF documents with an automated digital information retrieval system. Sensors automatically detect errors, the system queries the database, and relevant information is presented electronically to operators, substituting manual document navigation with automated digital processes.
2Ease of manufacture
If static documentation systems are used, then implementation is simple, but the system cannot adapt to new or changed plant configurations
Solution Approach 1:
The patent transforms static PDF documentation into a dynamic database system that can be continuously updated. Error records, sensor data, and solution instructions are stored in a structured format that allows real-time additions and modifications as new plant configurations are implemented, ensuring the documentation remains current without requiring complete rewrites.
Solution Approach 2:
The patent creates a universal database structure that can accommodate multiple plant configurations and error types through standardized fields and categories. The same system framework handles diverse error scenarios across different machine configurations, providing both simplicity through standardization and adaptability through flexible data entry.
3Reliability
If operators work through many pages of text and diagrams to find error information, then comprehensive coverage is achieved, but operator time and productivity are reduced
Solution Approach 1:
The patent implements feedback mechanisms where sensors automatically detect errors and trigger queries to the documentation database. The system provides targeted error information and solution steps directly to operators based on sensor inputs, creating a closed-loop system that delivers precise information without requiring operators to search through comprehensive but unrelated documentation.
Solution Approach 2:
The patent extracts only the relevant error information and solution steps needed for specific errors from the comprehensive documentation database, presenting them to operators in a condensed, targeted format. This extraction process eliminates unnecessary text and diagrams, providing complete error resolution information in a fraction of the time required to search through full documentation.
4Loss of information
If error solutions are not systematically documented and shared, then individual operator experience is maintained, but knowledge transfer between operators is inefficient
Solution Approach 1:
The patent creates a centralized digital copy of error solutions and knowledge that can be instantly accessed by any operator. When an operator resolves an error, the solution is stored in the database and can be copied and retrieved by other operators facing similar errors, eliminating the need for time-consuming personal communication or manual knowledge sharing while preserving organizational knowledge.
Data Source
AI summary
The disclosure relates to a method and system for detecting and resolving malfunctions of a machine, in particular a machine in a machine line for filling and packaging food and/or beverages. The method starts with receiving a sensor signal from the machine. The sensor signal can indicate a malfunction of the machine and comprise a context of the malfunction. Instructions for resolving the malfunction are then identified, which are selected from an instructions database based on the context of the malfunction. An operator of the machine is notified and receives information about the malfunction of the machine and at the same time the identified instructions for resolving the detected malfunction. The operator has the option to create modified instructions for resolving the machine malfunction and send it back to the database. The modified instructions are then stored in the instructions database and linked to the sensor signal, making them identifiable via the context of the malfunction.