Digital Multimeter Graph Scaling and Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional digital multimeters lack efficient methods for automatically scaling and navigating graphical representations of data, particularly when dealing with high-rate sampling or burst data, which limits user interaction and data analysis.
Innovation Solution
The solution involves a digital multimeter with a graphical display that automatically determines scaling parameters based on the number of group markers in the data set, allowing for intelligent selection of views and navigation through arc gestures on a touchscreen, enabling efficient display and analysis of both real-time and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional digital multimeters display graphical data, then data visualization is provided, but automatic scaling and navigation capabilities are lacking
Solution Approach 1:
The system automatically determines scaling parameters for the x-axis and y-axis by analyzing the data set itself, without requiring manual user input. The processor examines the data characteristics and autonomously selects appropriate scaling factors, enabling the device to serve itself in the scaling operation.
Solution Approach 2:
The system dynamically adjusts scaling parameters based on the characteristics of the data set being displayed. By changing the scaling parameters according to data properties, the system optimizes the graphical representation automatically, resolving the contradiction between ease of operation and device complexity.
2Loss of information
If data is stored with detailed acquisition information, then complete data context is preserved, but storage requirements increase
Solution Approach 1:
The system extracts only the essential information needed for scaling and navigation from the complete data acquisition context. By taking out only the critical parameters required for graphical display, the system reduces storage requirements while preserving sufficient data context for effective visualization and analysis.
3Ease of operation
If manual scaling is used for graph display, then user control over visualization is maximized, but operation time and complexity increase
Solution Approach 1:
The system performs preliminary analysis of the data set to determine optimal scaling parameters before the user needs to view the graph. By preparing the scaling parameters in advance based on data characteristics, the system eliminates the time-consuming manual adjustment process while still allowing user override when needed.
4Productivity
If navigation through data sets is enabled, then data analysis capability is improved, but interface complexity increases
Solution Approach 1:
The system introduces an intermediary gesture recognition layer between the user and the data navigation function. By using intuitive arc gestures as an intermediary interface, the system enables powerful data navigation and analysis capabilities without exposing the underlying complexity of the navigation system to the user.
Data Source
AI summary
A method in an electronic device that may include determining, with a processor, a quantity of group markers in a data set, and determining, with the processor and based on the quantity of group markers, a suggested view from a plurality of available views, each view in the plurality of available views diagrammatically depicting at least a portion of the data set. Also, a processor-implemented method of navigating between portions of a data set may include displaying, on a touchscreen display, a diagrammatical depiction of a first portion of the data set; detecting a continuous arc gesture at the touchscreen display; determining a direction of the arc gesture; selecting a second portion of the data set based on the determined direction of the arc gesture; and displaying a diagrammatical depiction of the second portion of the data set.