BUSINESS

SEMI EDA Standard Compliance Solution

SEMI EDA STANDARD

What is EDA Standard?

With the continuous advancement of semiconductor manufacturing technology and increasing complexity in equipment design and processes, the need for high-quality data (manufacturing big data) for equipment analysis has become essential. Since the early 2000s, the SEMI Global Information & Control Technical Committee has developed a dedicated protocol for reliable equipment data analysis, independent of the SECS/GEM* protocol, by establishing a separate data channel for high-volume, high-frequency data. This protocol was named the EDA (Equipment Data Acquisition) Standard.

The EDA Standard has evolved through Freeze.1 in 2005 and Freeze.2 in 2010, with the development of Freeze.3 currently on the horizon. Notably, EDA not only facilitates high-volume, high-frequency equipment data collection but also serves as a data service platform utilizing multi-session and multi-client web service technologies, enabling a new data ecosystem for diverse analytical applications.

*SECS/GEM: A semiconductor standard communication protocol designed for equipment control (Semiconductor Equipment Communication Standard & Generic Equipment Model).

SEMI EDA Freeze.2


  • Defines SOAP XML-based Protocol, WSDL, and XML schema as SEMI standards
  • Consists of 4 parts, defining a series of services for equipment data collection
  • SEMI EDA Freeze.2

  • Defines SOAP XML-based Protocol, WSDL, and XML schema as SEMI standards
  • Consists of 4 parts, defining a series of services for equipment data collection
  • Feature SECS/GEM EDA
    Data Rates 10 variables per Chamber
    300 values/sec
    50 variables per Chamber
    5000 values/sec
    Event Data Process Event Process Event
    Physical, Mechanical Event
    Self-Describing Only Data ID Equipment structure described as data
    Secure Communications Only Equipment Host Security through Admin
    e-Diagnostic
    Configuration Socket HTTP (SOAP XML)
    ANTICIPATED EFFECTS

    EDA Client = Data Service Platform

    We enable a real-time data pipeline that quickly and efficiently transforms data collected from manufacturing sites into context-based datasets tailored to the needs of analytical systems.

    ANTICIPATED EFFECTS

    EDA Client = Data Service Platform

    We enable a real-time data pipeline that quickly and efficiently transforms data collected from manufacturing sites into context-based datasets tailored to the needs of analytical systems.

    Flexible data collection

    Flexible Data Collection

    Flexible data collection enabled through Data Channel separation.

    Standardize equipment reference information

    Standardization of Equipment Reference Information

    Consistent data utilization across various analytical systems is enabled through integrated management of equipment reference information based on EDA.

    Acquisition of more high-quality data

    Acquisition of More High-Quality Data

    The specification and management of required data become more efficient, enabling the acquisition of more high-quality data.

    Improve the accuracy of analytical results

    Improvements in Analytical Accuracy

    Removing inter-system data dependencies enables smoother demand data delivery and more accurate analysis results.

    OPC UA Standard Compliance Solution

    OPC UA STANDARD

    What Is OPC UA Standard?

    OPC UA (OPC Unified Architecture) is a standardized data communication protocol between industrial automation devices and systems. It is a next-generation standard that moves beyond the Windows/COM dependency of OPC Classic, offering platform independence and enhanced security.

    • Platform Independence: It runs not only on Windows but also on Linux and embedded systems, and it is firewall-friendly because it is based on TCP/IP transport protocols.

    • Enhanced Security:It supports authentication, encryption, and digital signatures as standard, and through information models it can convey not only raw data but also its meaning and structure.

    • Key Services:It reads and writes real-time data via Read/Write, executes device control commands through Method Call, and efficiently monitors data changes using Subscriptions. The Address Space is a core concept that organizes information in a hierarchical structure and forms the system’s information model.

    Brief OPC UA

    OPC Classic vs. OPC UA

    Category OPC Classic OPC UA
    Platform Windows only All OS
    Security None Encryption / Authentication
    Firewall Complex (multiple ports) Simple (single port)
    Data Model Simple tags Hierarchical objects
    Scalability Tens of thousands of tags Millions of tags
    Cloud Difficulty Native support
    Developer Ecosystem Legacy Modern
    Standardization Limited Companion Specs
    Maintenance Difficulty Easy
    Future Outlook Risk of EOL Continuous development
    • Platform Independence
      • Performance bottlenecks caused by architectural limitations of COM
      • Issues such as memory leaks and response delays occur frequently
    • Built-in Security
      • Mutual authentication based on X.509 certificates
      • Transport encryption: supports AES-128/256 and RSA
      • Message integrity: SHA-256 signatures
      • User authentication
    • Rich Information Model
      • Hierarchical Address Space – object-oriented modeling
      • Support for complex data types
      • Rich metadata
      • Ability to represent semantic relationships
    • Improved Performance
      • Can handle tens of thousands to millions of tags
      • Multi-threaded architecture – parallel processing
      • Subscription-based – efficient data delivery
      • Data compression options and chunked transfer
    OPC UA Solutions

    OPC UA Clients & Servers

    Manufacturing Big Data Platform

    HIGHLIGHTS

    Plug and Play Data Service

    We enable a real-time data pipeline that efficiently transforms data collected from manufacturing sites into context-based datasets tailored to the requirements of analytical systems.

    • Support for integrating various industry-standard interfaces
    • Support for interoperability between legacy interfaces
    • Improved reliability of source data
    • Reduced development time and cost for data collection and preprocessing
    • Establishment of an efficient big data analytics foundation
    ARCHITECTURE

    Plug and Play Data Service Platform

    ARCHITECTURE

    Plug and Play Data Service Platform

    DX/AX PLATFORM ROADMAP

    Solution Architecture

    DX/AX PLATFORM ROADMAP

    Solution Architecture

    Accelerate Your AI Projects

    Key Takeaways

    Standardization Benefits

    Key Takeaways

    Standardization Benefits

    Minimized Costs

    In sites where an EDA and OPC UA server are already in place, no additional development investment is required for data collection.

    Minimized Deployment Time

    By leveraging Doople’s pre-built factory-wide host product, you can establish a data collection and real-time processing environment without any additional development.

    Use of Proven, Validated Data

    You can directly benefit from the data quality secured through on-site process validation.

    Flexible Data Configuration

    With only standard-compliant Data Collection settings, you can flexibly collect all data provided by the equipment.

    SCALABLE SYSTEM CONFIGURATIONS

    Start Small and Build it up

    SCALABLE SYSTEM CONFIGURATIONS

    Start Small and Build it up

    QUICK SETUP

    No-Code Easy Setup

    QUICK SETUP

    No-Code Easy Setup

    Data Collection Settings

    • 1000+ Parameters
    • 1000+ Events
    • Every Alarm

    Data Processing Workflow

    • Data Source Configuration
    • Definition of Virtual Parameters / Events
    • Data Classification and Filter Settings
    • Configuration of Data Context, Alias, and Dataset Packaging

    BOB Generation

    • Target Value, LSL, USL Pattern for 150 Parameters
    • Anomaly Detection Conditions

    Easy Integration

    Feed into your projects

    Easy Integration

    Feed into your projects

    Dataset Notifications

    Equal=A Data Processor notifies dataset information through Redis once a dataset is created. To receive real-time dataset creation notifications, use the Redis Subscription information defined in the Data Process Workflow.

    Search APls

    We provide a series of APIs that allow you to search for fingerprint data based on context conditions such as time period, RecipeID, LotID, and Wafer No. These APIs can be easily integrated into custom-built analytical systems.

    Analysis Result Notifications

    You can receive notifications immediately upon the generation of dataset analysis results. These results can be utilized for creating custom dashboards or for real-time interlocks and other follow-up actions.

    Download APls

    The retrieved fingerprint data is generated in various sizes depending on the process length, and the size of BOB data also varies. The Pattern FDC server manages the fingerprint data and introduces a method to receive encrypted BOB and fingerprint data through the Download API.

    PARTNERS

    BUSINESS PARTNERS

    PARTNERS

    We sincerely thank our valued customers for trusting Doople's technology and services. We will continue to deliver exceptional customer satisfaction through relentless innovation and challenges.

    BUSINESS PARTNERS

    PARTNERS

    We sincerely thank our valued customers for trusting Doople's technology and services. We will continue to deliver exceptional customer satisfaction through relentless innovation and challenges.