Measurement Plan Automation via Machine Learning

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Solution Overview

Problem

The existing methods for creating and controlling measurement plans for measuring apparatuses, such as coordinate measuring machines and microscopes, require significant time and expertise, leading to high costs due to the complexity of selecting and defining numerous setting parameters, and often result in pre-settings that are not adaptable to specific user preferences or applications.

Innovation Solution

A method and device that utilize statistical evaluation and machine-assisted learning to determine user-specific pre-settings for measurement and control commands, reducing the need for manual input and allowing for adaptive settings based on user interactions and preferences, thereby simplifying the measurement planning and control process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual creation of measurement plans with detailed setting parameters is used, then measurement accuracy and reliability are ensured, but time expenditure and complexity increase significantly

Engineering Contradiction:

Improvemeasurement accuracyVSAvoidtime expenditure for creating measurement plan

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically analyzes user interactions with setting parameters and generates presettings autonomously without requiring manual intervention. The evaluation unit continuously monitors user selections and automatically creates optimized setting parameter proposals, allowing the system to serve itself rather than requiring constant user input for each measurement plan creation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary analysis of user preferences and measurement requirements before the actual measurement plan creation. By evaluating past user interactions and pre-calculating optimal setting parameters, the system prepares presettings in advance that can be quickly applied to new measurement tasks, significantly reducing on-the-spot decision time.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If comprehensive setting parameters are manually selected for each measurement command, then measurement precision is maintained, but device complexity and difficulty of operation increase

Engineering Contradiction:

Improvemeasurement precisionVSAvoidease of creating measurement plan

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The evaluation unit acts as an intermediary between the user and the complex setting parameters. Instead of requiring users to directly navigate and select from numerous technical parameters, the evaluation unit translates user intent into optimized setting parameter proposals, mediating the interaction and simplifying the operational interface while maintaining measurement precision.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system continuously monitors user selections and feedback during measurement plan creation, analyzing which setting parameters users choose and how they modify proposals. This feedback loop enables the system to learn user preferences and adjust future setting parameter proposals accordingly, making the system progressively easier to use while maintaining precision.

Inventive Principle:

Principle #23Feedback

3Productivity

If standard pre-settings are used for measurement commands, then operation speed increases, but adaptability to specific user preferences and applications decreases

Engineering Contradiction:

Improveoperation speedVSAvoidadaptability to user preferences

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The presetting system is dynamic rather than static. Instead of using fixed standard pre-settings, the system continuously adapts presettings based on real-time analysis of user interactions and measurement contexts. The evaluation unit dynamically adjusts setting parameter proposals to match specific user preferences and application requirements while maintaining high operation speed through automated generation.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes presetting parameters based on evaluated user behavior patterns and measurement requirements. By analyzing which parameters users frequently modify and how they optimize measurements, the system dynamically adjusts the values and combinations of setting parameters in proposals, enabling adaptability to specific applications while maintaining rapid operation through automated parameter optimization.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11719534B2Computerized creation of measurement plans and plan-based control of measurement devices

Publication Date: 2023.08.08 CARL ZEISS INDUSTRIELLE MESSTECHNIKE GMBH

AI summary

A method creates a measurement plan of a dimensional measuring apparatus or controls a measurement of the dimensional measuring apparatus. The method includes receiving setting parameters defining a measurement or control command of multiple measurement or control commands of the dimensional measuring apparatus. The method includes evaluating the setting parameters based on at least one of a statistical evaluation and an evaluation using machine-assisted learning. The method includes determining a presetting that assigns at least one setting parameter of the evaluated setting parameters to the measurement or control command. The method includes outputting a setting parameter proposal based on the determined presetting in response to receiving an input command for selecting the measurement or control command.