Substrate Processing Sound Monitoring for Component State Detection
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Solution Overview
Problem
Existing substrate processing apparatuses face challenges in easily detecting the state of components, which is crucial for timely maintenance and optimal operation.
Innovation Solution
A substrate processing apparatus equipped with detectors in various areas to capture operating sounds, a controller to select detection areas based on operation events, and a memory to store and compare detection data with reference sound patterns for abnormality detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detectors are provided in all areas to continuously monitor component states, then detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The apparatus is divided into multiple areas (process chamber area, transferor area, component area) with detectors strategically placed in each. This segmentation allows focused monitoring of specific components in their respective operational zones without requiring omnidirectional detection coverage, reducing the total number of detectors needed while maintaining detection accuracy for critical components.
Solution Approach 2:
The controller pre-stores detection data from each detector in the memory before actual monitoring begins. This preliminary data storage enables the controller to efficiently retrieve and compare relevant historical data during operation, reducing real-time processing complexity and allowing the system to achieve high detection accuracy without requiring complex real-time analysis infrastructure.
2Reliability
If multiple detectors are deployed across different areas, then detection coverage is improved, but ease of operation deteriorates due to complex data management
Solution Approach 1:
The controller serves multiple functions simultaneously: it selects appropriate detectors based on the operation event, retrieves stored detection data from memory, compares current data with reference data, and determines component states. This multi-functionality consolidates what would otherwise require separate systems into a single controller, improving reliability through comprehensive monitoring while maintaining ease of operation through centralized intelligent management.
Solution Approach 2:
The controller continuously compares detection data with reference data stored in memory and uses this feedback to determine component states and trigger appropriate maintenance actions. This automated feedback loop eliminates the need for manual data analysis and interpretation, allowing operators to simply monitor system-generated alerts while the controller handles complex data management tasks, thereby improving reliability without compromising ease of operation.
3Measurement precision
If detection data is continuously collected and stored, then detection accuracy is improved, but loss of time increases due to data processing requirements
Solution Approach 1:
The controller stores detection data in memory as it is collected during various operation events (wafer charging, temperature elevation, film processing, etc.), preparing the data in advance for future comparison. This preliminary data collection and storage eliminates the need for real-time data gathering during analysis, allowing the system to achieve high detection accuracy by comparing pre-stored comprehensive data sets without incurring time delays during actual component state determination.
Solution Approach 2:
The controller collects and stores detection data from all detectors during all operation events, even though not all data points may be ultimately used for every component state determination. This excessive data collection ensures that comprehensive reference data is available in memory for comparison, enabling accurate component state detection while the controller only processes the specific subset of data relevant to each situation, thereby minimizing actual processing time despite extensive data collection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates easy and accurate detection of component states, enabling timely maintenance and improving the operational efficiency and reliability of the substrate processing apparatus.
Implementation Method 1
a detector provided in at least one of the plurality of areas and configured to be capable of detecting an operating sound of the component
Data Source
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AI summary
A technique includes: a process chamber configured to process a substrate; a transferor configured to transfer the substrate; a component relating to at least one of the process chamber or the transferor; a memory storing a plurality of operation events; a plurality of areas in each of which at least one of the process chamber, the transferor, or the component is provided; a detector provided in at least one of the plurality of areas and configured to be capable of detecting an operating sound of the component; and a controller is configured to be capable of controlling the component and the detector to select one area of the plurality of areas, which corresponds to each of the plurality of operation events, and to acquire detection data from the detector provided in the selected one area.