Automobile production line welding equipment alarm fault code tracing method and computer program product

By constructing an alarm association rule base in the automotive welding production line, using association algorithms to mine strong association rules, predicting the probability of fault occurrence and generating response strategies, the problem of ignoring the association between alarms in existing technologies is solved, and proactive prediction and efficient fault handling are achieved.

CN122175059APending Publication Date: 2026-06-09东风设备制造有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
东风设备制造有限公司
Filing Date
2026-02-05
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies in automotive welding production lines neglect the potential correlation between equipment alarms, resulting in only surface faults being dealt with while ignoring potential hazards. They lack the ability to predict accompanying or potential alarms, leading to prolonged troubleshooting time, failure to achieve proactive early warning and intervention, and impacting production continuity.

Method used

By acquiring standardized transaction sets and alarm information, using association algorithms to mine strong association rules, constructing an alarm association rule library, matching alarm information to predict the probability of fault occurrence and generating fault response strategies, the operation and maintenance mode is transformed from passive response to proactive prediction.

Benefits of technology

It significantly improves fault response speed and processing efficiency, realizes the transformation from single processing to multi-cause tracing operation and maintenance mode, proactively predicts faults and generates corresponding fault response strategies, shortens downtime and prevents the spread of fault chains.

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Abstract

This application discloses a method and computer program product for tracing alarm fault codes of welding equipment in an automotive production line, relating to the fields of industrial automation and intelligent manufacturing technology. The method includes: acquiring a standardized transaction set and alarm information; mining strong association rules in the standardized transaction set using an association algorithm to obtain strong association rule information; constructing an alarm association rule library based on the strong association rule information; matching the fault occurrence probability and alarm fault corresponding to the alarm fault codes of the automotive production line welding equipment with the alarm information based on the alarm association rule library, generating tracing information; and generating corresponding fault response strategies based on the tracing information. This application constructs an alarm rule library through association rule mining, thereby intelligently matching real-time alarms, proactively predicting the probability of fault occurrence and alarm faults, generating fault response strategies, and upgrading the operation and maintenance mode from passive response to proactive early warning, significantly improving processing efficiency.
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