Multi-Projector State Comparison for Reliable Abnormality Detection
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Solution Overview
Problem
Existing systems fail to accurately determine projector abnormalities when load information is incomplete or unreliable, leading to incorrect maintenance decisions.
Innovation Solution
A method and system that acquires and compares state information from multiple projectors displaying different portions of an image, using a control device to determine abnormalities by comparing fan rotation speeds, temperature, and cumulative usage times, with data complementation and error handling to ensure accurate assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If load information is acquired from a single projector, then the system is simple, but the determination reliability is low when information is incomplete or unreliable
Solution Approach 1:
The patent combines state information from multiple projectors (first projector and second projector) to determine abnormalities. The control device acquires state information from both projectors and uses this combined data to determine whether the first projector is abnormal, thereby improving determination reliability through data redundancy and cross-validation.
Solution Approach 2:
The control device acts as an intermediary that collects, compares, and analyzes state information from multiple projectors. It mediates the abnormality determination process by using state information from the second projector as a reference to accurately assess the condition of the first projector, even when the first projector's data is incomplete or unreliable.
2Measurement precision
If state information from multiple projectors is acquired and compared, then the determination accuracy is improved, but the information processing complexity increases
Solution Approach 1:
The patent segments the abnormality determination process into distinct steps: acquiring state information from the first projector, acquiring state information from the second projector, comparing the two data sets, and determining abnormalities based on the comparison. This segmentation makes the complex processing manageable and systematic.
Solution Approach 2:
The system uses feedback by comparing state information from the first projector with state information from the second projector. The control device analyzes differences between the two data sets and uses this feedback to accurately determine whether the first projector is abnormal, improving detection accuracy through comparative analysis.
Data Source
AI summary
An abnormality determination method includes: acquiring first information indicating a state of a first display device configured to display a first portion of a first image in a first area of a display area that displays the first image; acquiring second information indicating a state of a second display device configured to display a second portion of the first image that is different from the first portion in a second area of the display area that is different from the first area; and determining whether the first information is abnormal based on the second information.


