Maintenance Discrepancy Detection via Similarity Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current maintenance operation support systems for food manufacturing plants lack effective methods to compare and analyze differences between planned and actual maintenance work performances, leading to potential inefficiencies and risks due to discrepancies in resource allocation and execution.
Innovation Solution
An apparatus and method that connect to a database to acquire and analyze abnormality reports, calculate similarities with past maintenance performances, detect differences in work plans and actual performances, and display potential risks, allowing for real-time adjustments and improvements in maintenance planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If maintenance working plans are created based on past experiences, then maintenance efficiency is improved, but discrepancies between planned and actual performance may lead to resource allocation inefficiencies and operational risks
Solution Approach 1:
The system implements feedback by automatically comparing actual maintenance performance data against planned working plans, detecting discrepancies, and notifying relevant personnel. This closed-loop feedback mechanism ensures that deviations from the plan are promptly identified and addressed, resolving the contradiction between maintaining efficiency through experience-based planning and ensuring reliability through performance consistency monitoring
Solution Approach 2:
This principle is not applicable to this patent as it deals with information processing and comparison systems, not pneumatic or hydraulic mechanisms
2Reliability
If detailed monitoring of working plans versus actual performance is implemented, then operational risks are reduced, but system complexity and data processing requirements increase
Solution Approach 1:
The system performs self-service by automatically acquiring maintenance data, comparing it against working plans, detecting discrepancies, and generating notifications without requiring manual intervention. This automation reduces system complexity despite detailed monitoring, as the comparison and detection functions are handled autonomously by the maintenance management system
Solution Approach 2:
The maintenance management system performs multiple functions including data acquisition, plan comparison, discrepancy detection, and notification generation within a single integrated platform. This multi-functionality reduces overall system complexity by consolidating what could be separate systems into one universal maintenance management solution
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
Provided is an apparatus, including: a database connection unit connected to a database for storing a plurality of groups respectively including abnormality information about an abnormality occurred in a facility and an actual work performance for addressing the abnormality; a report acquirement unit for acquiring a report of an abnormality occurred in the facility; a working plan acquirement unit for acquiring a working plan for addressing an abnormality occurred in the facility; a similarity calculation unit for calculating a similarity between abnormality information in the report and abnormality information included in each of the plurality of groups; a selection unit for selecting at least one group from the plurality of groups based on a similarity calculated by the similarity calculation unit; a difference detection unit for detecting a difference between the working plan and the actual work performance of the at least one group; and a display processing unit for conducting display processing for displaying the difference.