Reliable Identification of Coils Through Digital Fingerprinting

ibaDatawyzer-ICC enables accurate and automated coil identification in the metal-producing industry by analyzing characteristic geometrical properties recorded during production. Using high-resolution thickness measurements, often complemented by width measurements, the system creates a unique length-related thickness profile for each coil, comparable to a fingerprint. This inherent pattern remains unchanged throughout subsequent processes, making it a dependable reference for matching coils at different production stages.

By comparing the coil’s current measurement profile with stored profiles from earlier process steps, ibaDatawyzer-ICC verifies identity with a calculated match counter. High match rates confirm correct coil tracking, while lower rates immediately highlight potential errors or mismatches. The system can also detect rewinding operations and determine head and tail scrap lengths with approximately 1-meter resolution.

Key capabilities

• Identify coils plant-wide using unique thickness length profiles.
• Verify coil tracking accuracy between production stages.
• Detect coil mix-ups or rewinding processes automatically.
• Determine head/tail scrap lengths with high precision.
• Search for true parent coils in cases of mismatched tracking.

Typical use cases

• Confirming coil identity after intermediate storage or transport.
• Detecting logistical tracking system errors before further processing.
• Preventing quality data inconsistencies due to wrong coil assignments.
• Supporting genealogy systems with verified coil identity data.

With its fingerprint-based approach, ibaDatawyzer-ICC provides a robust safeguard against material mix-ups, ensuring consistent quality tracking across the entire production chain.

ibaDatawyzer-ICC continuously monitors and validates coil tracking throughout the production chain, ensuring that the material reference in logistical systems matches the actual coil being processed. By leveraging the coil’s unique thickness length profile, captured at multiple process stages, the system compares the current (“child”) coil data with its recorded (“parent”) coil profile from a previous stage.

A calculated match counter quantifies the degree of alignment between the two profiles. Results above a plant-specific threshold confirm correct tracking, while lower values automatically flag potential mismatches, data quality issues, or tracking gaps. The system can also realign profiles to compensate for stretching, compression, or scrap cuts, providing a reliable basis for both quality control and production planning.

Key capabilities

• Validate coil identity between sequential production processes.
• Detect tracking errors in logistical and warehouse systems.
• Automatically flag mismatches for immediate investigation.
• Compensate for profile shifts caused by process-related changes.
• Integrate verification results into release or genealogy systems.

Typical use cases

• Confirming correct coil assignment before critical processing steps.
• Preventing quality data corruption from misidentified material.
• Providing automated coil release checks for downstream operations.
• Supporting compliance and traceability in high-quality steel and aluminum production.

By verifying coil tracking with high-precision profile matching, ibaDatawyzer-ICC ensures material traceability and process integrity across all production stages.

ibaDatawyzer-ICC offers precise alignment of length-related thickness profiles to account for changes that occur between production stages. Using its patented fingerprint technology, the system detects and corrects stretching, compression, and longitudinal offsets caused by process effects such as coil tension adjustments or scrap cuts at the head and tail.

This alignment process ensures that profile data from different measurement locations can be accurately compared, even if the coil has undergone dimensional changes. By matching distinctive features in the profile, ibaDatawyzer-ICC creates a consistent reference that supports reliable coil identification, precise scrap length determination, and high-quality data analysis across processes.

Key capabilities

• Correct length profile offsets caused by head/tail scrap cuts.
• Compensate for coil stretching or compression between process stages.
• Synchronize measurement data from multiple machines and locations.
• Maintain accurate profile matching despite process-induced shifts.
• Enable precise scrap length calculation with ~1 m resolution.

Typical use cases

• Comparing profile data from entry and exit measurement points.
• Aligning coil profiles for quality reporting and root cause analysis.
• Ensuring valid data correlation after rewinding or intermediate storage.
• Improving accuracy in parent-child coil matching processes.

Through exact alignment of geometrical length profiles, ibaDatawyzer-ICC ensures that coil comparisons remain accurate and trustworthy, even in the presence of process-related variations.

ibaDatawyzer-ICC automatically detects dimensional changes in coils as they progress through the production chain. By comparing length-related thickness profiles from different process stages, the system identifies stretching or compression caused by tension settings, rewinding, or other process influences.

It also locates scrap cuts at the head and tail with a resolution of about 1 meter, ensuring accurate determination of usable coil length and enabling precise yield calculations. This capability not only supports reliable coil identification but also improves production reporting, process optimization, and material genealogy tracking.

Key capabilities

• Detect coil stretching and compression between production steps.
• Identify head and tail scrap lengths with high resolution.
• Provide corrected coil length data for quality and production records.
• Support accurate alignment of profile data across processes.
• Enhance genealogy and release systems with validated dimensional information.

Typical use cases

• Adjusting production planning based on accurate coil length data.
• Improving process settings to minimize material deformation.
• Ensuring correct coil length for downstream equipment and logistics.
• Supporting quality investigations by correlating process changes with profile variations.

By pinpointing stretching, compression, and scrap cuts, ibaDatawyzer-ICC helps maintain dimensional accuracy and traceability from the first production step to final processing.