AI Reflow System
Product Model:Smart Production Forecasting System for Reflow OvenInSpec 3.0 AI Reflow Oven Intelligent Prediction System

Product Introduction
Common Production Line Challenges
- Complex Process Parameters: Multi-zone parameters in reflow ovens require repeated manual testing and adjustment, which is time-consuming and labor-intensive.
- Reliance on Human Experience: Oven temperature settings depend on engineer experience, making it difficult to quantify or replicate quickly.
- Delayed Response to Anomalies: Temperature deviations and quality issues cannot be detected in real-time, leading to high risks of line downtime.
Solutions and Value

- Non-stop Temperature Measurement: Virtual metrology technology allows real-time prediction of the temperature curve for every PCB, enhancing efficiency.
- Precision Control: Real-time data comparison enables precise adjustment of oven temperatures and parameters, reducing errors and improving stability.
- 100% Traceability: Data for every PCB is traceable, ensuring controllable quality.
- AI-Assisted Process Optimization: Recipe Copilot optimizes process parameters based on AI predictions, enabling rapid volume production for new products (NPI).
Technical Highlights
- AI + Digital Twin Dual-Core Architecture: Predicts internal heat distribution and establishes a precise cyber-physical integration model.
- Recipe Copilot: Automatically compares set parameters with AI-predicted curves to provide optimal adjustment recommendations.
- Multi-Brand Compatibility: Supports integration with mainstream reflow ovens and communication protocols; the open architecture facilitates expansion.
- Visualized Monitoring Interface: Displays oven status through thermal zones and trend curves, supporting remote monitoring.
- IPC-CFX Protocol Support: Provides real-time process parameter exchange capabilities, with optional extensions for CFX, Hermes, and MES system integration.
Application Scenarios
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Reflow Process Optimization
AI predicts temperature curves and automatically adjusts settings to improve soldering stability. -

NPI (New Product Introduction)
Recipe Copilot rapidly generates oven temperature settings, shortening trial production cycles. -

Smart Monitoring Center:
Integrates with MES systems to display real-time production efficiency and yield trends.
Implementation Benefits

Enhance efficiency

Quality stability

Intelligent Decision-Making
InSpec 3.0 Smart Reflow Process Prediction System
Built on AI models and digital twin technology, InSpec 3.0 provides real-time simulation of reflow oven temperature distribution and predicts process behavior. It assists engineers in rapidly completing temperature settings and new product introductions, achieving stable and high-efficiency smart process management.
Extended Integration Solutions
InSpec 3.0 features built-in AI process applications and can be extended to integrate production line communications and management systems based on implementation needs, supporting various stages of smart manufacturing
CFX Standard

MES System
Empowering Strategic Transformation through Comprehensive Integration
Sunjsong provides expert system integration services, seamlessly merging EMS, AI, IoT, and edge computing. We empower enterprises to implement intelligent applications and achieve cross-domain synergy, creating high-efficiency, visualized environments that drive strategic value and informed decision-making.

