Production Line Simulation Module

The SMF module is a full-lifecycle planning platform for future intelligent manufacturing, ensuring "what you see is what you get" through virtual modeling, equipment simulation, logistics scheduling, and system coordination. Before actual production, through precise simulation analysis and verification, the SMF module covers various stages of industrial intelligence, effectively reducing production line deployment costs and complexity.

01

Strategic Planning and Optimization

• Full-Factor Layout Optimization
  Based on the "human, machine, material, method, environment" information model, comprehensively analyzing working hours and transportation data. Simulating complex smart factory environments, calculating optimal equipment spacing and personnel layout.
• Takt Analysis and Bottleneck Diagnosis
  Automatically counts production takt times and identifies process bottlenecks, presenting operational efficiency through real-time data bar charts. Supports exporting simulation data to upper-level management systems.

Full-Factor Layout Optimization

Layout Optimization Takt Analysis Bottleneck Diagnosis

02

Distributed Multi-Robot Collaboration

• Distributed Architecture
  Breaking through single-machine hardware limitations, distributing rendering and computing load across multiple nodes, supporting ultra-large production lines.
• Real-Time Data Synchronization
  Based on high-bandwidth networking modules, ensuring operation changes on each terminal can be mapped to the main simulation scenario at millisecond level.
• Modular Decoupled Modeling
  Allows teams to cut scenarios by region or process, with each member focusing on independent modules, achieving seamless merging through central nodes.

Distributed Multi-Robot Collaboration

Distributed Architecture Real-Time Sync Modular Modeling

03

Advanced Logic Control and Virtual Development

• Flexible Custom Production Line Logic
  Supports deep configuration of production line signal flows. Users can independently define operating rules, loop statements, and custom variables. Achieve digital simulation of complex logic.
• Open Motion Algorithm Control
  Built-in kinematics structure extension functions. Users can write personalized component behavior logic using Python scripts or system templates.
• Seamless Hardware-Software Integration
  Supports OPC UA standard and real-time PLC communication, enabling direct connection with ABB, KUKA, and other mainstream robot controllers.

Custom Production Line Logic

Motion Algorithm Control

Signal Flow Motion Algorithm OPC UA PLC

04

High-Fidelity Process Simulation

• Automatic Collision Detection
  Integrating powerful physics simulation engine and PBR rendering technology, supporting realistic physical collision detection. Testing robot reachability in fully realistic virtual environment.
• Intelligent Palletizing/De-Palletizing
  Through parametric setting of stacking/de-stacking intervals, only setting the start trajectory can achieve fully automatic simulation planning.
• Tool Head Quick-Change Simulation
  Built-in end-effector quick-change module, accurately reproducing the tool switching process in real production lines.

High-Fidelity Physics Engine

Automatic Collision Detection

Intelligent Palletizing

Physics Engine PBR Rendering Palletizing Tool Change

05

Virtual Commissioning and Digital Twin

• Deep Virtual Commissioning
  Integrating robot virtual controllers, supporting connection of external PLC or custom controllers to the simulation system, completing all code and logic integration debugging before physical production.
• Intelligent Manufacturing Process Closed-Loop
  Through real-time communication interfaces, mapping physical field robot status to 3D models in real time. Achieving dynamic assessment, predictive maintenance, and full-lifecycle operational visual management.

Virtual Commissioning & Digital Twin

Virtual Commissioning Predictive Maintenance Closed-Loop Digital Twin