Condition-Based Image Selection for Measurement Data Displays
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Solution Overview
Problem
Conventional data management systems in plants often reduce visibility by displaying unnecessary images alongside measurement data, making it difficult for administrators to efficiently obtain necessary information.
Innovation Solution
An information providing apparatus and method that selects and merges only relevant image data with measurement data based on predefined triggers, such as tag numbers, group numbers, time, external signals, and alarm levels, to create a display purpose data file, which is then displayed on a terminal device, improving data visibility and reducing file size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all image data is merged and displayed on a single screen, then complete information is provided, but data visibility is reduced and screen clutter increases
Solution Approach 1:
The patent segments image data into multiple groups based on predetermined conditions (tag numbers, group numbers, time, external signals, alarm levels). Instead of displaying all images together, the system divides them into logical groups and selectively merges only relevant groups with measurement data, thereby maintaining information completeness while improving screen visibility and reducing clutter.
2Reliability
If multiple images are displayed together, then comprehensive monitoring is achieved, but information retrieval efficiency decreases
Solution Approach 1:
The patent implements dynamic selection of image groups based on predetermined conditions such as alarm levels, time, and external signals. The system adaptively determines which image groups to merge with measurement data, ensuring that the most relevant information is presented first. This dynamic approach maintains comprehensive monitoring capability while significantly improving information retrieval efficiency by presenting data in a prioritized, condition-based sequence.
3Adaptability or versatility
If all measurement data and image data are merged into a single file, then data integration is achieved, but file size increases and processing complexity increases
Solution Approach 1:
The patent segments image data into multiple groups based on predetermined conditions (tag numbers, group numbers, time, external signals, alarm levels). Instead of merging all image data with measurement data into a single large file, the system selectively merges only relevant image groups with measurement data. This segmentation approach maintains data integration capability while reducing file size and simplifying processing complexity.
4Quantity of substance
If unnecessary images are displayed, then all available data is presented, but screen visibility and readability deteriorate
Solution Approach 1:
The patent extracts and separates necessary image data from unnecessary image data based on predetermined conditions. By applying selection criteria (tag numbers, group numbers, time, external signals, alarm levels), the system extracts only the relevant image groups and merges them with measurement data, while excluding unnecessary images. This extraction approach maintains the presentation of sufficient data quantity while significantly improving screen visibility and readability.
Data Source
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AI summary
A server 10 according to an embodiment includes a selection unit (11) and a display control unit (13). The selection unit (11) selects, when a condition that is set in advance is satisfied, one or more pieces of image data that are associated with the condition from among a plurality of pieces of image data. The display control unit (13) simultaneously displays, when the condition is satisfied, the measurement data that has been measured by a measurement instrument and the image data that has been selected by the selection unit (11) on a single screen.