Molding Management System Abnormality Notification Filtering
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Solution Overview
Problem
Existing molding management systems often overwhelm users with repetitive alerts for the same type of abnormality in an injection molding machine, leading to potential overlooks of alerts for different or more critical issues.
Innovation Solution
A molding management system that acquires and outputs abnormality information in distinct phases, minimizing repetitive warnings by only notifying users when significant changes occur, such as after a predetermined period has passed since the last alert, and directing different types of warnings to different recipients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system notifies users of abnormality information every time operation data is acquired, then the user is informed of all abnormalities, but the user may overlook information due to repetitive notifications
Solution Approach 1:
The system implements periodic action by introducing a time threshold between notifications. When the same abnormality is detected again within the time threshold period, the system suppresses the notification. This periodic filtering mechanism reduces repetitive alerts while maintaining reliable abnormality communication.
Solution Approach 2:
The system dynamically adjusts notification behavior based on the time threshold parameter. The threshold can be configured to balance between notifying users of all abnormalities versus reducing repetitive notifications. This dynamic control allows the system to adapt to different operational contexts and user needs.
2Object-affected harmful factors
If the system suppresses notifications for the same abnormality within a time threshold, then repetitive alerts are reduced, but users may not be notified of persistent abnormalities
Solution Approach 1:
The time threshold mechanism creates a periodic notification pattern that suppresses redundant alerts. By setting an appropriate threshold duration, the system filters out repetitive notifications while still allowing users to be informed of persistent or new abnormalities that occur after the threshold period.
Solution Approach 2:
The system changes the notification parameter based on the time elapsed since the last notification. When the current time minus the last notification time exceeds the threshold, the system becomes more responsive to new abnormalities. This parameter-based adjustment ensures both repetitive alert reduction and notification completeness.
3Loss of information
If the system notifies users of all abnormality types immediately, then all issues are communicated, but user attention is分散ed across multiple alerts
Solution Approach 1:
The time threshold creates a periodic filtering effect that consolidates notifications. By suppressing redundant alerts within the threshold period, the system reduces the total number of interruptions to users while maintaining complete information communication for abnormalities that occur after the threshold expires.
Solution Approach 2:
The system performs preliminary action by establishing the time threshold rule in advance. This pre-configured mechanism automatically filters repetitive notifications before they reach the user, reducing cognitive load and improving ease of operation while preserving information completeness through the threshold-based timing logic.
Data Source
AI summary
A molding management system includes: a first acquisition unit configured to acquire first abnormality information, second abnormality information, and third abnormality information; and a first output unit configured to output first warning information. The second abnormality information and the third abnormality information include information on an injection molding machine in the first abnormality information and information on a type of an abnormality in the injection molding machine in the first abnormality information. The first acquisition unit acquires the second abnormality information after acquiring the first abnormality information and before a first period elapses therefrom, and acquires the third abnormality information after acquiring the first abnormality information and after the first period elapses therefrom. The first output unit outputs the first warning information when the first abnormality information is acquired, does not output the first warning information when the second abnormality information is acquired, and outputs the first warning information when the third abnormality information is acquired.