Project Overview
The Shunxing Building Materials Project in Jingdezhen represents a new generation of intelligent aggregate production. This 1,500 TPH facility applies AI-based process optimization and real-time quality monitoring for consistent product specifications.
Project Scope
WSHT provided an intelligent crushing and screening system with deep learning-based process optimization, automatic grade adjustment, and predictive maintenance capabilities.
Process Flow
Primary Crushing: A C120 jaw crusher (1200×900 mm, 180-350 t/h) processes ROM material with hydraulic CSS optimization.
Secondary Crushing: HPT-300 multi-cylinder cone crusher (100-200 t/h) with automatic stroke adjustment based on real-time feed characterization.
Tertiary Sand Making: VSI-8518 sand maker (80-180 t/h) produces high-quality manufactured sand. AI controls rotor speed and cascade ratio for optimal particle shape.
Quality Control: Online particle size analyzer (PSI) provides real-time feedback to process control system. Automatic adjustment of crusher settings, screen apertures, and sand washer parameters.
Key Equipment
| Equipment | Specification | Capacity |
|---|---|---|
| C120 Jaw Crusher | 1200×900 mm, 180-350 t/h | Primary |
| HPT-300 Cone Crusher | Multi-cylinder, 100-200 t/h | Secondary |
| VSI-8518 Sand Maker | 80-180 t/h | Sand making |
| 2YK-1860 Screen | Double-deck, 1800×6000 mm | Classification |
| Online PSI Analyzer | Real-time particle size | Quality control |
| AI Process Control | Deep learning optimization | Intelligence |
| Predictive Maintenance | Vibration + oil analysis | Reliability |
| Dust Collection | Pulse-jet, 99.5% | Environmental |
Project Highlights
- Capacity: 1,500 TPH (450,000 TPA)
- Intelligence: Deep learning AI process optimization
- Quality: Real-time PSI, automatic grade adjustment
- Maintenance: Predictive, vibration + oil analysis
- Power: 6 MW connected, 4.5 MW average
- Efficiency: 15% energy savings vs conventional
- Timeline: 8 months EPC delivery
- Location: Jingdezhen, Jiangxi, China
