Production Line Container Tracking for Cross-Machine Process Control
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Solution Overview
Problem
Existing production line control systems can only perform error analysis for individual machines, leading to inadequate and fragmented optimization of the production process.
Innovation Solution
A method to control a production process with serially connected production processes by individually assigning data records to containers throughout the production process and enriching them with process- and container-specific production data, using a monitoring system that includes both shift registers and imaging transport tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of repair
If individual machine error analysis is performed, then troubleshooting for specific machines is facilitated, but comprehensive optimization of the production line is inadequate
Solution Approach 1:
The patent combines individual machine data records into a unified production line data structure. Each container's data record aggregates information from multiple process units (blow molding, filling, capping, labeling) along the entire production line, enabling both individual machine analysis and comprehensive line-wide optimization simultaneously.
Solution Approach 2:
The unified data record structure serves multiple functions: it tracks individual container history through all process units, enables error analysis for specific machines, supports production line optimization, and provides a basis for predictive maintenance across the entire production system.
2Measurement precision
If data records are tracked through shift registers in forced guidance transport, then container identification is achieved, but transport section limitations reduce system versatility
Solution Approach 1:
The monitoring system is designed to work with multiple transport types (forced guidance with shift registers, free-flow with imaging systems, air transport with runtime monitoring) through a unified data record structure, making the system universally applicable across different transport configurations without sacrificing identification precision.
Solution Approach 2:
The patent introduces intermediate tracking zones where containers transition between different transport types. Imaging systems in these intermediate zones serve as mediators that bridge forced guidance and free-flow transport, ensuring continuous container identification and data record assignment across transport boundaries.
3Measurement precision
If imaging transport tracking is used for unordered mass transport, then container tracking is achieved, but system complexity increases
Solution Approach 1:
The patent uses imaging systems to create visual copies of container identification marks, which are then processed and assigned to data records. This copying approach enables tracking of containers in unordered mass transport without requiring physical manipulation or complex mechanical tracking mechanisms.
Solution Approach 2:
The patent replaces mechanical tracking systems (shift registers, physical position encoders) with imaging-based optical systems for container identification. This substitution reduces mechanical complexity while maintaining tracking precision in free-flow and air transport configurations.
4Measurement precision
If runtime monitoring is used for air transport with first-in-first-out, then container tracking is achieved, but production output constancy requirement limits flexibility
Solution Approach 1:
The system assigns data records to containers at the entrance of air transport sections before the actual transport occurs. This preliminary assignment, based on runtime monitoring and container position, enables tracking flexibility without requiring strict constancy of production output throughout the transport process.
Data Source
Figure 1

AI summary
A method is described for controlling a production process with at least two serially connected production processes for the manufacture and/or processing of containers in a production line that includes, precedes, or follows the filling of liquid products, as well as a corresponding production line. Accordingly, data records are individually assigned to the containers throughout the production process. As the data records are processed through the production processes, they are enriched with process- and/or container-specific production data. This allows the production line to be comprehensively optimized by tracing individual process steps and process results.