An Integrated Data Collection Platform for AI-Powered Manufacturing Innovation

    ExDAS enables flexible data collection and integration across heterogeneous equipment environments, ensuring reliable data acquisition.
    By unifying diverse equipment interfaces and standardizing data, it establishes a stable collection environment.

    It also supports real-time high-volume data processing and seamless integration with AI systems,
    transforming raw manufacturing data into valuable insights rather than merely collecting it.
    With ExDAS, you can realize a data-driven, intelligent manufacturing environment.

    OCR

    DAF

    DAQ

    Field-oriented
    Optimized service

    Definition of Roles
    ExDAS DAF (Data Acquisition File) is a data acquisition application
    designed to collect data from diverse sources, including sockets and FTP.
    It parses (extracts) the data according to user-defined rules
    and handles subsequent storage and transmission.
    01
    Data Source ReceptionSocket (TCP) / FTP
    02
    File Change DetectionFile Event Monitoring
    03
    Data ParsingApplication of User-Defined Rules
    04
    Data CleansingFormat Conversion / Validation
    05
    Result ProcessingStorage & External Transmission
    DB Storage
    RabbitMQ Publishing
    Limitations of Manufacturing Data Collection —
    Blind Spots of File Data on the Shop Floor
    Lack of Systematic Collection and Management for File Data Generated by Industrial Equipment
    Scattered and Neglected Files
    • Files with different paths and formats are scattered across equipment, making integrated management impossible
    Limitations of Manual Collection
    • Operators must manually check folders one by one, leading to data omissions and delays
    Inability to
    Detect Changes
    • Failure to identify new or modified files immediately delays the response to anomalies
    Lack of
    Traceability
    • No history of when, how, or which files were changed, making it impossible to analyze the root causes of quality issues
    • General-purpose file management tools lack support for industry-specific environments (diverse file formats, network folders, FTP, etc.)
    • →
    • A site-tailored, automated file data collection framework is essential for the shop floor
    01
    ExDAS DAFvs. Conventional Solutions
    Text file-based integration without APIs or SDKs → Minimizes adoption barriers; allows shop floor operators to configure directly
    Features
    ExDAS DAF
    General SCADA / Custom Scripts
    Lightweight Infrastructure
    Embedded SQLite, no separate DB server required
    Separate DB/Server configuration required
    Parsing Rule Management
    Direct configuration by operators via GUI editor
    Developer coding required
    Multi-Source Collection
    Integrated into a single tool (FTP + Socket)
    Separate tools required for each source
    Legacy System Integration
    No API required; operates with just text files
    System integration required
    Data Export
    Out-of-the-box support for three formats (CSV / Excel / JSON)
    Separate development required for each format
    Low-Spec PC Operation
    Leverages existing on-site PCs
    Separate server required
    02
    Expected Effects & Business Value
    Minimizes adoption barriers · ✓ No APIs/SDKs required · ✓ Operates on low-spec on-site PCs · ✓ Direct configuration by operators
    Features
    Before
    After
    Data Collection
    Manual recording
    Automated FTP & socket collection
    Parsing Method
    Developer script writing
    Direct on-site configuration via GUI rule editor
    Error Response
    Manual check and reprocessing
    Automated re-parsing via file change detection
    Alarm History
    Recognized only upon checking
    Automated logging of 4-level alarm history
    Data History
    None / Manual logging
    Full DB storage
    Collected Data Inquiry
    Alarm History

    Product Architecture

    • PRESENTATION LAYER
    ExDAS.DAF.DesktopApp
    UlControls
    • BUSINESS LOGIC LAYER
    App Services
    FTP
    Socket
    • INFRASTRUCTURE LAYER
    Data Access
    Messaging
    Logging
    • SQLite (Default)
    • PostgreSQL
    • RabbitMQ
    System Requirements
    Supported Databases: SQLite (Default), PostgreSQL, SQL Server
    OS
    Win 10 64bitWin 10/11 64bit
    CPU
    Atom X5 Z8350 Core i3 or higher
    RAM
    4GB8 GB or higher
    Storage
    2GB10 GB or higher

    Field-oriented
    Optimized service

    From Multi-Source Data Collection to Alerting — Providing an End-to-End Pipeline
    1. Parsing Rule Management
    2. Multi-Source Data Collection Engine
    3. Real-Time Monitoring & Alarms
    4. Data History Inquiry & Export
    Configuration Screen

    Product Support

    “Verified or Sustainable”
    More than 30 years of experience and over 100 factories
    UMS
    • Providing comprehensive software maintenance through the UMS Center, addressing defect fixes, performance enhancements, feature improvements, and product updates after deployment
    Operational Training
    • System administrator manual provided for smooth post-deployment operations
    • Product training for administrators
    • Dedicated Product Management Center to oversee operating systems and handle routine maintenance
    Product Support
    • Product updates
    • Online manuals and user guides
    • Online platform for sharing feedback and suggestions related to the product
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    Business/Product Inquiries