Dual-sensor redundancy comparison technology has already been widely applied in the high-end injection molding hot runner field. Below are two typical real-world case studies that visually demonstrate the application effects:
Case 1: A car interior injection molding plant in Zhejiang – Solving the problem of false alarms and downtime
Project Background: This factory produces automotive airbag plastic parts, which have extremely high requirements for hot runner pressure accuracy. Previously, using a single sensor frequently resulted in product scrap due to drift. After switching to dual-sensor redundancy comparison, the initial false alarm rate at the fixed threshold was as high as 20%, causing 3-4 downtimes per week due to false alarms, impacting production capacity.
Optimization Solution: A "phased dynamic threshold + 3σ automatic update + interchangeable verification and troubleshooting" solution was adopted. The threshold was automatically switched based on the injection molding process signal, and the baseline was automatically updated periodically.
Implementation Results: The false alarm rate decreased from 20% to below 3%, unplanned downtime was reduced by 85%, and the product scrap rate decreased from 1.2% to 0.2%, saving nearly 200,000 RMB in scrap costs and downtime losses annually.
Case 2: A Medical Consumables Injection Molding Factory in Guangdong – Achieving High-Precision and Stable Production
Project Background: Producing disposable infusion connectors, requiring melt pressure control accuracy of ±0.5%. Previously, a single sensor would drift out of tolerance after six months, requiring monthly shutdowns for calibration. A dual-sensor redundancy comparison solution was adopted, using sensors from the same batch for matching installation.
Solution Configuration: Combined with dynamic threshold adjustment and automatic zero-point alignment upon startup, manual calibration is required every 3 months.
Implementation Results: Pressure detection accuracy has remained stable within ±0.3% for a long period; the calibration cycle has been extended from 1 month to 3 months; product yield has increased from 98.5% to 99.8%, meeting the high standards of the medical industry.
Case 3: A Large Home Appliance Injection Molding Factory in Jiangsu – Reducing Maintenance Costs
Project Background: Multiple large injection molding production lines with a total of 80 hot runner detection points. Previously, a single sensor had an annual replacement rate of 15%, resulting in high maintenance costs. After adopting a dual-sensor redundancy comparison solution, dynamic compensation and periodic calibration were implemented.
Implementation Results: Sensor replacement rate decreased from 15% to 6%, saving nearly 100,000 RMB in sensor procurement costs annually. Furthermore, timely deviation warnings prevented multiple batches of defective products, resulting in overall benefits exceeding 200,000 RMB per year.
These case studies, covering injection molding plants of varying sizes, all validated that dual-sensor redundancy comparison, with proper parameters and installation/adjustment, can significantly improve production stability and reduce overall costs.
