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Process and Logistics Automation Design (Automation Equipment Manufacturing)

Manufacturing automated process equipment to minimize manual labor and human intervention on production lines.

Solution

Process and Logistics Automation Design (Automation Equipment Manufacturing)

Equipment Manufacturing Process

Manufacturer
Customer
  • 고객의뢰
    Customer
    Request
  • 현장실사
    Site
    Inspection
  • 고객협의
    Customer
    Consultation
  • 컨셉설계
    Conceptual
    Design
  • 계약
    Contract
    Signing
  • 상세설계
    Detailed
    Design
  • 설비제작
    Equipment
    Manufacturing
  • 제작점검
    Manufacturing
    Inspection
  • FAT
    FAT
  • 설비점검
    Equipment
    Inspection
  • 포장/출하
    Packaging and Shipping
  • 설치 시운전
    Installation and Commissioning
  • 운영점검
    Operational Inspection
  • 안정화/운영
    Stabilization and Operation

Contents

  • ALL
  • AI-Based Vision Inspection
    (Deep Learning System)
  • Smart Logistics
  • AI-Based Noise Inspection
  • Gap Welding Automation
  • BPS
    (Bin Picking System)
  • Automated
    Assembly Equipment
  • Multi-Tasking
    Robotics System
AI-Based Vision Inspection (Deep Learning System)
  • Position
    검사 위치
  • Road
    Road
  • Line Tap
    Line Tap
  • Right
    Right
  • Top
    Top
  • Road Tap
    Road Tap
  • Line
    Line
  • Left
    Left
Equipment Overview

  • A visual inspection system utilizing AI(deep learning) and a 6- axis articulated robot.

Applied Technologies

  • 6-axis articulated robot

  • Synchronized network across PLC, PC, and the robot

  • Deep learning-based inspection

System Overview
※ Deep Learning-Based Inspection System
※ Deep Learning 검사 System

  • AI-based technology

  • Autonomous learning from image data

  • An algorithm developed using open-source framework

  • An algorithm developed and owned by LS ELECTRIC

※ Deep Learning Inspection Method
※ Deep Learning 검사 System 방법
※ Key Features of the Deep Learning Inspection System
(Compared to manual or rule-based inspection systems)

  • Capable of inspecting irregular or non-standard products

  • Reduces labor and time required for reprogramming when new defect types are introduced

  • Eliminates the risk of inconsistent or inaccurate judgment due to fatigue or emotional factors

Smart Logistics
An advanced logistics automation system that utilizes AGVs (Automated Guided Vehicles) for parts supply and product transport on automated assembly lines. The system enhances musculoskeletal safety and establishes a foundation for efficient logistics workforce management.
  • System Configuration

    Parts storage conveyor / Box lifter / In-out conveyor / ATC for parts box supply / AGV system / AGV auto charging

  • Development Timeline

    Review: 1 month, Manufacturing: 4 months, Commissioning: 1 month

  • Investment Benefits

    Labor savings (2 personnel), Smart logistics factory, Prevention of safety incidents and musculoskeletal disorders

제품 운반 System 특징
Product Transport System Features

  • Centralized AGV control,Autonomous AGV navigation

  • Automated logistics of parts and semi-finished goods via AGVs

  • Automated box loading and unloading at ATC using lifters

  • Automated parts box supply and retrieval

  • Automatic AGV charging via auto chargers

부품 자동 공급 System 특징
Parts Supply System Features

  • Cartesian robot application technology

  • Position control via PLC

  • Automated part supply and stacking using Cartesian robots

  • Integration with AMRs (Autonomous Mobile Robots) for advanced logistics automation

AI-Based Noise Inspection
AI 기반 소음 검사
Equipment Overview

  • A machine learning-based noise inspection system built on Microsoft Azure IoT Edge. The system enables continuous improvement of defect prediction models through cumulative data retraining.

Applied Technologies

  • Microsoft Azure IoT Edge: Evaluates inspection results and stores data

  • PC - Data Acquisition: Measures and collects data

  • HDF5 File Format: Minimizes the volume of stored data

System Overview
System 개요
Gap Welding Automation
Gap 용접 자동화
System Overview

  • Improvement in productivity and reduction of overcurrent variation through gap welding automation.

Applied Technologies

  • 1) Integrated control of vision system, robot, and laser welder

  • 2) Current supply system control

  • 3) Feedback control of overcurrent test bench via RFB (Realtime Feedback) system

BPS (Bin Picking System)
A system that enables the supply of irregularly shaped parts for assembly, inspection, and other manufacturing processes
Key Features

  • 2D, 3D Vision Camera Application for Picking Atypical Parts

  • In-House Developed SFS(Smart Feeding System) Applied - Customized to fit part sizes and shapes - Automatic model change

Applications
  • Rubber
    Rubber
  • Frame
    Frame
  • Contactor
    Contactor
Equipment Examples
BPS(Bin Picking System)
BPS(Bin Picking System)

  • Deep-Learning Algorithm

  • 2D Color Camera

  • Horizontal articulated robot

  • SFS

SFS(Smart Feeding System)
SFS(Smart Feeding System)

  • Automatic model change

  • Fixed quantity supply function

  • Applicable to various parts

  • Patented

Automated Assembly Equipment
An automated assembly line utilizing dual-arm and 6-axis robots to assemble parts and fasten screws. The system verifies component assembly and screw fastening status to determine pass/fail results, enabling one-person operation.
Equipment Examples
Applied Technologies and Features

  • Dual-Arm Robot, 6-Axis Robot, and Single Robot position control - Optimized task allocation through efficient process analysis - Gripper design for multi-component gripping - Avoidance of robot motion conflicts

  • Maximization of Efficiency based on IE Principles

  • Fool Proofing with Smart Vision Technology - Missing part detection and assembly status verification

  • Multi-Axis Screw Feeding and Fastening

  • Single-Operator Assembly Line Management

Application Areas

  • Automation for Small or Mass Production of Medium-Sized Parts

  • Automation of Manual Labor-Dependent Processes

  • Automation of Dust-Generating Parts Assembly

  • Automation of Multi-Axis or High-Speed Fastening

  • Vision-Based Inspection for Automated and Manual Assembly Processes - Defect detection through motion analysis in manual processes

  • Productivity Improvement through Process Analysis

Multi-Tasking Robotics System
An automated system using two 6-axis robots to assemble and fasten components such as condensers, IGBT modules, and laminated bus bars. The system records pre-assembly part information and screw fastening data, and links it with frame information to ensure full traceability.
Equipment Examples
Applied Technologies and Features

  • Multi-Component Assembly Using 6-Axis Robot and Linear Shuttle - Precise assembly using assembly jigs - Tool change tailored for specific components - Auto screw fastening and data storage - Ensuring precision of the linear shuttle

  • Parts History Management and Traceability Assurance

  • Auto Alignment and Fool Proofing Using Vision Technology - Ensuring accuracy in assembly direction and positioning - Assembly inspection

Application Areas

  • Automation for Large Products of high-mix, low-volume production

  • Assembly of Products Requiring Parts History Management and Traceability

  • Automated Assembly for Parts with Difficult Positioning

  • Parts Assembly Requiring Data Acquisition and Management for Each Fastening Point

  • Rationalization of Manual Assembly Processes Deemed Difficult to Automate

  • Automation of Assembly Inspection

  • Effective Investment in Processes Requiring Productivity Improvement