Intelligent Targeted Data Agents for Plasma Processing Troubleshooting
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Solution Overview
Problem
In plasma processing, the vast amount of data collected by sensors is often uncorrelated and difficult to retrieve and analyze, leading to inefficient troubleshooting, which requires significant time and effort from skilled process engineers due to the complexity of correlating data from various sources.
Innovation Solution
A targeted data collection system with intelligent targeted data agents distributed throughout the plasma processing system, allowing sensors to collect and store data based on specific conditions defined by expert knowledge, using algorithms to determine when and what data to collect, and enabling bi-directional communication between sensors and a host server to facilitate relevant data collection and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If sensors continuously collect data at high volume, then data coverage is improved, but data retrieval and analysis complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-defining correlation rules and relationships between different data sources before troubleshooting occurs. The host server establishes data correlation models in advance, so when a problem arises, pre-correlated data can be rapidly retrieved without performing complex correlation analysis in real-time.
Solution Approach 2:
The host server acts as an intermediary between multiple sensors and data sources. It centralizes the complex task of data correlation and filtering, receiving raw data from numerous sensors, applying correlation rules, and presenting processed, correlated information to users. This mediator approach simplifies the complexity for end-users while maintaining comprehensive data collection.
2Loss of information
If all sensor data is collected and stored, then troubleshooting information completeness is improved, but data retrieval time increases
Solution Approach 1:
The system extracts and retrieves only the specific correlated data needed for troubleshooting rather than accessing all collected sensor data. By establishing correlation rules beforehand, the host server can identify and extract only the relevant data subsets required for analyzing particular problems, significantly reducing retrieval time while maintaining information completeness.
Solution Approach 2:
Data correlation relationships are established in advance through preliminary action. The system pre-processes and organizes data according to defined correlations, creating ready-to-retrieve data structures that can be quickly accessed during troubleshooting without requiring complex real-time queries across all stored data.
3Measurement precision
If data from multiple sources is correlated using complex methods, then troubleshooting accuracy is improved, but user skill requirements increase
Solution Approach 1:
The host server performs self-service by automatically executing data correlation operations based on pre-defined rules. Instead of requiring users to manually correlate data from multiple sources, the system autonomously applies correlation logic, filters data, and presents correlated results. This maintains high troubleshooting accuracy while eliminating the need for users to possess advanced data correlation skills.
Solution Approach 2:
The host server serves as an intelligent intermediary that handles the complex correlation task between multiple data sources. It translates raw multi-source sensor data into correlated, meaningful information automatically, shielding users from the complexity of data relationships while delivering accurate troubleshooting insights.
Data Source
AI summary
A targeted data collection system configured to collect processing data in a plasma processing system is provided. The system includes a data collection host and a plurality of plasma processing components having a plurality of sensors such that each of the plurality of plasma processing components having at least one sensor. Each of the sensors implements at least one intelligent targeted data agent that governs sensor data collection behavior. The system further includes a communication network coupling data collection host and plurality of sensors for bi-directional communication such that a given sensor of plurality of sensors receive information from data collection host pertaining to plasma processing system conditions occurring elsewhere from given sensor. Information received from data collection host causes the given sensor to collect at least a portion of the processing data in a first manner different from a second manner employed by sensor prior to receiving e information from the data collection host.