PosFrame_Data Service Platform

PosFrame is a smart platform that collects structured/unstructured data from production sites in real time and optimally controls them using data-based analysis and AI. PosFrame is the world's first and most advanced platform for heavy and continuous processes and can be provided on a cloud basis.

APP

  • Production

  • Quality

  • Equipment

  • Energy

  • Safety

PosFrame

5. Utilization

Portal / App Store

4. Analysis

MLOps (PosML)

3. Storage

Big Data Platform (BDP)

2. Sorting

Real Time Platform (RTP)

1. Acquisition

Interface Middleware (IFM)

6. Control

PosFame Edge

Devices

Equipment

Sensor

PLC/DCS CMC

Features

  • Supports a real-time data-based decision-making system

    Supports data-based decision making through real-time acquisition, analysis, and control of data generated by various IoT sensors.

  • New smart factory IT technology All-In-One platform

    The real-time, fault-tolerant, integrated smart factory platform based on new technologies such as loT, Big Data, and AI continually applying new future IT technologies.

  • Successful application to continuous processes and expansion to all industries

    In continuous processes, large data generated by unit facilities/processes can be analyzed horizontally and vertically to enable tracking and analysis, and management between processes.
    It can be applied to all industry areas, including production acceleration, quality assurance, facility efficiency improvement, energy optimization, and proactive safety control.

Functions

  1. 1. Data acquisition
    Interface Middleware

    High-speed acquisition of formatted/unformatted data from different types of systems and equipment

    • Interface to multiple types of equipment
    • Acquisition of large-capacity formatted/unformatted data
    • Supporting data standard conversion and acquisition automation
    • Real-time, high-speed acquisition (20ms-1s)
  2. 2. Data Sorting
    Real Time Platform (RTP)

    Providing data life cycle management and cataloging for visualization and analysis of collected data

    • Provide catalogs through data standards and classifications according to customer business utilization requirements

      • Create identification and standardization classification catalogs based on data governance
      • Sort, reclassify, and update according to data life cycle management criteria

    • Provide data search engines for data visualization and analysis utilization

      • Support for searches based on user demand domain classification system
  3. 3. Data Storage
    Big Data Platform (BDP)

    Provides Big Data storage and analysis data pipeline

    • Peta Byte-level large-capacity, high-performance Big Data storage

      • Compression and data duplication, cluster-based non-stop scale-out

    • Low-cost, high-efficiency storage of large-capacity structured/unstructured data

      • Real-time high-speed processing support with Row/Column Store storage
      • Object Storage-based large-capacity structured/unstructured data storage
  4. 4. Analysis
    MLOps (PosML)

    This is an MLOps solution that allows even non-analysis experts to easily handle the analysis process in one stop, thereby improving the field and turning it into a knowledge asset.

  5. 5. Utilization
    Portal /App

    Smart Factory Portal environment for linking data sources and data analysis utilization apps

    • User-defined based Smart Factory portal dashboard
    • Support for user-defined data visualization, analysis model performance monitoring
    • Support system for data search, life cycle management, etc.
  6. 6. Control
    PosFrame Edge

    PosFrame Edge is a solution that can artificially control equipment without speed delay by executing real-time data processing and Al. big data model near the field equipment.

    • Real-time data collection

      • Connection to the related system following data collection from instruments, PLC/DCS, and DAQ and data preprocessing (calculation and filtering).

    • Smart PLC function

      • Equipment sequence and process control using the software PLC function.

    • Real-time model control based on reinforcement learning

      • Supports the model optimization environment through reinforced learning using real-time Al and big data control model execution and control results.
        *Al and big data model development and performance management use the PosFrame platform.

Additional PosFrame features

Smart Factory Portal

The portal includes the app store providing smart apps that the user can download as needed and the 3D factory layout that provides personalized indicators, chart, and dashboard for the user to check the production status at a glance in real time.

  • 3D View

    The function visualizes the diffusion of the smart factory by laying out the data needed for steel mills in three dimensions.
    Drill down on the smart factory by linking indicators and tasks for each factory.

  • Smart App Store

    Download, installation, and deployment of needed smart apps. Personalized categorization using the My Folder function.

  • Dashboard

    Manage your own dashboard by selecting and placing metrics you need (specify batch charts and layouts).

Use Cases

  • Production
    Lead-time reduction
    • Pohang Iron and Steel Company's plate number marking number (painting) recognition
    • POSRO shipping inspection station Wire rod product label recognition
    • LS MnM (formerly LS Nikko Copper) Onsan Plant Smart Factory
    • Poongsan Ulsan Plant, SNNC, POSCO Mobility Solutions Smart Factory
  • Quality
    Securing quality in advance
    • Gwangyang Steelworks Steelmaking Furnace Dart Input Status Recognition
    • Reproduction of poor quality situation and analysis of root cause
    • Post-process control/operation guide through slab surface quality prediction
    • Quality prediction modeling through correlation analysis of quality influence factors
  • Equipment
    Improvement of equipment efficiency
    • Gwangyang Steelworks Plating Scrap Box Status Measurement
    • Gwangyang Steelworks Steelmaking Steel Crane Hook Fastening Status Recognition
    • Gwangyang Steelworks Hot Rolling Branch Table Coil No. and Path Recognition
  • Safety
    Proactive safety control
    • Gwangyang Steelworks Steelmaking Electrical Room, Sub-materials Risk Area Intrusion Detection (Entrance)
    • Pohang Steelworks Steelmaking Main Electrical Room, Underground Culvert and Cable Cellar Inspection
    • Gwangyang Coke Oven Door Gas Leak Automatic Detection