Container Tracking Across Filling Lines for Cross-Machine Error Analysis
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Solution Overview
Problem
Existing methods for monitoring production sequences in container manufacturing and processing are limited to individual machines, making it difficult to optimize production efficiently across multiple machines.
Innovation Solution
A method and system for monitoring a production sequence with multiple serially connected production processes, where data records are assigned to containers individually throughout the production process and enriched with process- and container-specific production data, allowing for cross-machine relationship analysis and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data monitoring is performed at individual machines separately, then machine-specific error analysis is possible, but cross-machine relationship analysis and overall production optimization are insufficient
Solution Approach 1:
The patent combines monitoring systems from multiple individual machines into a unified production line monitoring system. Data records are linked across machines using container identification, allowing cross-machine error analysis while maintaining the measurement precision of individual machine monitoring. This resolves the contradiction by merging separate monitoring capabilities into an integrated system that enables both machine-specific and overall production optimization.
Solution Approach 2:
The monitoring system is designed to serve multiple functions: it performs machine-specific error analysis, cross-machine relationship analysis, and overall production optimization simultaneously. By making the monitoring system universal across the entire production line rather than machine-specific, the system can address both the need for detailed error analysis and the need for comprehensive production optimization.
2Productivity
If data records are assigned to containers throughout the production process, then cross-machine relationship analysis becomes possible, but system complexity increases
Solution Approach 1:
The patent introduces data records as an intermediary element that connects containers to production data across multiple machines. Instead of creating complex direct connections between all monitoring systems, the data records serve as a standardized mediator that simplifies the overall system architecture. Each machine writes to and reads from these data records using container identification as a key, reducing system complexity while enabling cross-machine analysis.
Solution Approach 2:
The system creates copies of container identification data and links them to data records at each machine station. Rather than requiring complex real-time communication between machines, the system uses data copying and linking through centralized data storage. This approach enables cross-machine relationship analysis while keeping individual machine systems relatively simple and independent.
Data Source
AI summary
A method is described for monitoring a production sequence having at least two serially connected production processes for the manufacture and/or processing of containers in a production line which comprises a filling of liquid products, is upstream therefrom or downstream therefrom, as well as a corresponding production line. Accordingly, data records are individually assigned to the containers throughout the production process. The data records are enriched with process- and/or container-specific production data while passing through the production processes. This allows the production line to be comprehensively optimized by tracking individual process steps and process results.