Sensor-Driven Device Tuning for Precise Parameter Adjustment
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Solution Overview
Problem
Current methods for tuning devices, such as plasma etchers, laser cutters, and deep brain stimulation systems, are labor-intensive and lack the granularity needed for precise adjustments, often resulting in sub-optimal performance due to the difficulty in understanding the interplay between internal and external parameters.
Innovation Solution
A device control system that utilizes a computer system and controller to receive and analyze internal and external sensor data, aggregating this information with data from similar devices to automatically adjust settings and optimize performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tuning methods are used for devices, then human operators can make adjustments based on visual observations, but the granularity of feedback is coarse and the process is tedious and time-consuming
Solution Approach 1:
The patent implements automated feedback systems using sensors to continuously monitor device parameters and performance metrics. This replaces coarse visual observations with precise, automated measurements that provide granular feedback for tuning decisions, resolving the contradiction between feedback granularity and tuning time.
Solution Approach 2:
The patent substitutes manual mechanical adjustment processes with automated control systems that use sensor data and algorithms to make tuning decisions. This eliminates the time-consuming nature of manual tuning while providing precise, granular feedback through automated measurement systems.
2Manufacturing precision
If manual tuning is performed by operators, then adjustments can be made based on experience, but understanding the interplay between internal and external parameters is difficult
Solution Approach 1:
The patent introduces data aggregation and analysis systems as intermediaries between device parameters and operator decision-making. These systems collect, process, and present parameter relationships in an understandable format, making the complex interplay between internal and external parameters accessible without requiring deep expert knowledge.
Solution Approach 2:
The patent replaces manual analysis of parameter interrelationships with automated data processing systems that use algorithms to understand and model complex parameter interactions. This achieves precise parameter adjustment without requiring operators to directly comprehend the complexity of parameter interplay.
3Reliability
If automated data processing is implemented, then precise adjustments can be made based on comprehensive data analysis, but the system complexity increases
Solution Approach 1:
The patent divides the automated control system into modular components: sensor systems for data collection, data aggregation modules for processing, analysis algorithms for decision-making, and actuation systems for implementation. This segmentation manages system complexity by creating independent, manageable modules while maintaining overall reliability through their coordinated operation.
Data Source
AI summary
A method, apparatus, and system for controlling a device. A device control system comprises a computer system and a controller in the computer system. The controller receives internal sensor data for a group of internal parameters generated by an internal sensor system that senses the group of internal parameters within the device that relate to an operation of the device and receive external sensor data for a group of external parameters generated by an external sensor system that senses the group of external parameters in an environment around the device that relate to the operation of the device. The controller sends the internal sensor data and the external sensor data for an analysis with aggregated internal sensor data and aggregated external sensor data for devices of a same class as the device to generate results. The controller controls the operation of the device based on the results of the analysis.