Autonomous Controller for Measuring Device Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing measuring devices require significant user expertise and manual intervention, leading to inefficiencies, especially when unforeseen events occur or when no physical users are present, as they need to be frequently reconfigured for different measurements.
Innovation Solution
An autonomous controller-driven method for controlling measuring devices that selects samples, sets conditions, and establishes measured values, allowing for automated operation, database access, and error correction, thereby reducing user workload and increasing efficiency even in the absence of physical users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If measuring devices are used by multiple users or for series of measurements, then the device utilization increases, but the device requires frequent reconfiguration and manual intervention
Solution Approach 1:
The measuring device is equipped with a controller that autonomously performs measurement planning, sample selection, and reconfiguration based on stored measurement plans and database information, enabling the device to serve itself without continuous user intervention
Solution Approach 2:
Measurement plans are prepared in advance and stored in the controller or database, allowing the device to automatically execute pre-planned sequences of measurements without requiring users to reconfigure settings between measurements
2Productivity
If measurement plans are predetermined, then measurement organization improves, but flexibility to handle unforeseen events deteriorates
Solution Approach 1:
The controller dynamically adjusts the measurement plan based on actual measurement results, database information, and detected anomalies, allowing the system to adapt to unforeseen events while maintaining organized measurement sequences
Solution Approach 2:
The controller continuously monitors measurement results and compares them against expected values from the database, automatically initiating corrective actions or plan modifications when deviations are detected
3Adaptability or versatility
If users are physically present to handle unforeseen events, then measurement flexibility improves, but efficiency during absent periods deteriorates
Solution Approach 1:
The controller autonomously detects and handles measurement anomalies by automatically repeating measurements, adjusting parameters, or consulting the database for corrective actions, eliminating the need for physical user presence
Solution Approach 2:
The system continuously monitors measurement quality and automatically initiates corrective measures when issues are detected, maintaining measurement flexibility without requiring user intervention
4Adaptability or versatility
If complex measurement processes are used, then measurement capability improves, but user expertise requirements increase
Solution Approach 1:
The controller automatically manages complex measurement sequences, parameter adjustments, and device configurations based on stored measurement plans and database information, eliminating the need for users to possess deep technical expertise
Solution Approach 2:
The measuring device is designed with integrated automation capabilities, database access, and adaptive control functions that enable it to perform diverse complex measurements through a unified autonomous interface
Data Source
AI summary
A method for controlling a measuring device includes selecting a sample to be examined, creating conditions under which the sample is to be examined by the measuring device, and establishing measured values regarding properties of the sample, wherein the method steps are autonomously controlled by a controller. A measuring device is disclosed for performing the method.