State Indication Display Using Influential Measurement Data
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Solution Overview
Problem
Existing systems struggle to effectively monitor and display the state of a target facility by identifying the most influential measurement data for a state indication value, which is crucial for timely intervention and maintenance.
Innovation Solution
An apparatus and method that acquire multiple types of measurement data, supply them to a model for generating a state indication value, and then display this value along with the measurement data that has the largest influence on the state indication value, allowing for focused monitoring and intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all measurement data are displayed to provide comprehensive monitoring information, then the completeness of information is improved, but the complexity of the display system and the difficulty of identifying critical data increase
Solution Approach 1:
The patent extracts and displays only the measurement data that has the largest influence on the state indication value, separating critical information from non-critical information. This allows the display to focus on the most important data points while maintaining information completeness for the state assessment.
Solution Approach 2:
The patent applies different display priorities to different measurement data based on their influence levels. Critical measurement data with large influence on the state indication value are displayed prominently, while less important data are either displayed with lower priority or omitted, creating a differentiated display quality that matches the actual importance of each data point.
2Loss of information
If all measurement data are displayed to ensure complete monitoring, then the information completeness is improved, but the ease of identifying critical data deteriorates
Solution Approach 1:
The patent extracts the measurement data with the largest influence on the state indication value and displays these separately and prominently. This extraction of critical data from the complete set makes it easy for operators to quickly identify which measurement data are most important for the current state assessment.
Solution Approach 2:
The patent uses visual differentiation (such as color coding or highlighting) to distinguish measurement data with larger influence from those with smaller influence. This visual emphasis makes critical data immediately recognizable to operators, improving the ease of identifying which data points require attention.
3Measurement precision
If comprehensive measurement data are monitored to improve state assessment accuracy, then the measurement precision is improved, but the loss of time for processing and displaying data increases
Solution Approach 1:
The patent extracts and processes only the measurement data that have the largest influence on the state indication value. This selective processing maintains the accuracy of state assessment by focusing on the most critical data points while significantly reducing the time required to process and display all measurement data.
Solution Approach 2:
The patent applies partial action by processing and displaying only the necessary subset of measurement data (those with largest influence) rather than all available data. This partial processing approach maintains sufficient assessment accuracy while reducing processing time and computational resources required.
Data Source
AI summary
An apparatus is provided comprising an acquisition unit configured to acquire a plurality of types of measurement data indicating a state of a target, a supplying unit configured to supply, in response to the plurality of types of measurement data being input, measurement data acquired by the acquisition unit to a model that outputs a state indication value indicating a quality of a state of the target, a setting unit configured to set, as data to be displayed, at least one piece of measurement data, among the plurality of types of measurement data, having a larger influence on the state indication value than a reference, and a display control unit configured to display the state indication value output from the model along with a measurement value of the data to be displayed.