Data Display Apparatus for Time-Series Measurement Correlation
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Solution Overview
Problem
Existing data display apparatuses struggle to efficiently evaluate the correlation between multiple types of time-series measurement data, requiring specific-purpose programming and complicating the evaluation process, especially when comparing present measurement data with ideal or past data.
Innovation Solution
A data display apparatus that allows flexible assignment of measurement data types to different coordinate axes, using a plotting processing section to plot characteristic values synchronized at measurement timing, enabling arbitrary data correlation evaluation on a single coordinate system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If separate plotting processing programs are constructed to evaluate correlation between specific measurement data, then the correlation evaluation capability is improved, but the device complexity and programming effort increase
Solution Approach 1:
The plotting processing section is designed to handle multiple types of measurement data (engine coolant temperature, throttle opening, intake manifold pressure, ignition timing) through a single unified program. The system provides a standardized interface that accepts various data types and automatically plots them on appropriate coordinate systems, eliminating the need for separate specialized programs for each data pair.
Solution Approach 2:
The coordinate system configuration is made dynamic and flexible. The system can automatically select between time-series coordinate systems (when one parameter is time) and two-dimensional coordinate systems (when both parameters are measurement values). This dynamic adaptation allows the same program to handle different evaluation scenarios without requiring manual reconfiguration or separate programs.
2Measurement precision
If measurement data are printed on recording sheets for precise investigation, then the measurement precision is improved, but the loss of time and operational efficiency worsen
Solution Approach 1:
The system replaces the mechanical process of printing data on recording sheets with a digital display system. The plotting processing section generates visual graphs on a display device, allowing operators to perform precise investigations directly on the screen without physical printing. This substitution eliminates the time-consuming print process while maintaining or enhancing data investigation capabilities through scalable digital visualizations.
Solution Approach 2:
The system performs preliminary data processing and visualization by automatically plotting measurement data in real-time or near-real-time. Instead of requiring operators to print and manually analyze data later, the system prepares the data in graph form in advance, allowing immediate visual analysis and correlation evaluation without waiting for physical printing and manual setup.
3Ease of manufacture
If a fixed two-dimensional coordinate system with X and Y axes is used for plotting, then the plotting simplicity is improved, but the adaptability to different data types worsens
Solution Approach 1:
The coordinate system is designed to be dynamic rather than fixed. The system automatically determines the appropriate coordinate system type based on the input data characteristics. When one parameter represents time, the system uses a time-series coordinate system with time on the X-axis. When both parameters are measurement values, it uses a two-dimensional coordinate system. This dynamic adaptation maintains implementation simplicity while providing versatility across different data types.
Solution Approach 2:
The system changes the parameters and structure of the coordinate system based on the input data. It can switch between different coordinate system configurations (time-series vs. two-dimensional) by detecting the nature of the input parameters. This parameter-based adaptation allows a single plotting program to handle multiple data types effectively without requiring complex manual configuration.
Data Source
AI summary
A plurality of types of measurement data which are measured by a signal measurement section in a time serial manner are displayed on a predetermined coordinate system. A data type assignment section is operable to assign the types of the measurement data to different coordinate axes in the predetermined coordinate system, respectively. A plotting processing section is operable to plot characteristic values on the predetermined coordinate system, the characteristic values specified by the measurement data synchronized at a measurement timing from the measurement data belonging to the types.