Pain Points——
1.Process Lags: Traditional manual sampling and testing are time-consuming and fail to monitor parameters like moisture and mixing uniformity in real time, leading to high defect rates due to process fluctuations; in cases of formula changes, it cannot ensure real-time balance of costs and production efficiency;
2.High Reliance on Experience: Key parameters such as pelletizing temperature and grinding fineness depend on experienced operators for adjustment, and staff turnover can easily cause quality issues;

3.Severe Energy Waste: Lack of precise control over steam addition and drying duration results in high processing energy consumption.

Solutions——
NIR Online Process Control System, Achieving Intelligent Processing Upgrades:
1.Real-Time Monitoring: Deploy online near-infrared devices at key stations such as grinding, mixing, and pelletizing to monitor indicators like moisture, fat, and fiber in real time;
2.Intelligent Regulation: Use spectral data to link with PLC for automatic adjustments of parameters like steam pressure and mixing time, eliminating human error;

3.Risk Alerts: Develop 12 types of process risk models for issues like mold hotspots and nutrient loss, providing alerts 30 minutes in advance for abnormal conditions.

Core Value——
1.Quality Enhancement: Narrow the fluctuation range of finished product nutritional indicators;
2.Cost Reduction and Efficiency Gains: Lower pelletizing energy consumption;
3.Standardization: Convert process parameters into digital models to reduce quality variations caused by human factors;

4.Risk Management: Prevent batch rejects due to process anomalies.