Measurement Parameter Control for Faster, Error-Resistant Setup
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Solution Overview
Problem
Existing measuring devices require significant expertise and time for users to determine the appropriate measurement methods and parameters, leading to lengthy preparation and potential errors in measurement execution.
Innovation Solution
A method and measuring device where a control device receives a request for a specific measured value, creates a parameter list of settings needed for the measurement, and outputs this list to the user, utilizing a database to autonomously support the user in selecting suitable parameters and monitoring measurement parameters to prevent errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a user manually determines measurement methods and parameters, then measurement expertise and control are improved, but preparation time and user workload increase significantly
Solution Approach 1:
The control device automatically determines the appropriate measurement method and parameters based on the requested measured value, eliminating the need for manual user configuration. The system serves itself by autonomously selecting measurement procedures from stored methods and configuring device parameters accordingly.
Solution Approach 2:
The control device acts as an intermediary between the user's simple request and the complex measurement execution. It translates high-level measurement requests into detailed parameter configurations by accessing stored measurement methods and automatically determining suitable parameters.
2Measurement precision
If multiple measurement parameters are manually configured, then measurement precision and control are improved, but device complexity and ease of operation worsen
Solution Approach 1:
The control device extracts and manages the complex parameter configuration tasks from the user's responsibilities. By automatically determining parameters based on the requested measured value and accessing stored measurement methods, the system removes the burden of manual parameter configuration while maintaining measurement precision.
Solution Approach 2:
The system performs self-configuration by automatically selecting and setting measurement parameters based on the measurement goal. The control device independently determines which parameters need to be configured and sets them appropriately without requiring user expertise in measurement methodology.
3Productivity
If measurement parameters are automatically determined, then preparation time and ease of operation are improved, but measurement reliability and user control may worsen
Solution Approach 1:
The control device provides feedback to the user by outputting the determined parameter list, allowing users to review and verify the automatically selected parameters. This feedback mechanism maintains user control and confidence in the measurement process while benefiting from automated parameter determination.
Solution Approach 2:
Measurement methods and parameter configurations are pre-stored in the control device's memory. By having measurement procedures prepared in advance, the system can quickly retrieve and apply appropriate parameters when a measurement is requested, ensuring both efficiency and reliability through proven measurement methods.
Data Source
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AI summary
The present invention relates to a method for controlling a measuring device (100), comprising receiving a request to determine a specific measured value by a control unit (110; 200); generating a parameter list by the control unit (110; 200) specifying which parameters of the measuring device are to be set in order to determine the specific measured value; and outputting the generated parameter list to a user of the measuring device (100) by the control unit (110; 200). The present invention further relates to a measuring device (100).