

Plastic Machinery Auxiliary Machine
The Plastic Pipe Meter Controller is an industrial-grade automation solution designed for plastic pipe manufacturing lines. It integrates real-time monitoring, precision control, and data analytics to ensure consistent product quality, reduce material waste, and maximize production efficiency. Compatible with PVC, PE, PPR, and other thermoplastic pipes, it is widely used in construction, irrigation, and industrial fluid transportation systems.
Media Contact: https://www.hst-plasticmachinery.com/hiadmin.php?c=index
Name:Nancy Bao
Company Name:Qingdao Haosaite Plastic Machinery
Phone Number/Wechat:+8615854298193
Email Address:suji@haosaite.com
Website:Qingdao Haosaite Plastic Machinery
Arress:NO.398 B-9,Jiaozhou Road Jiaozhou Qingdao City,China
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Parameter | Details |
---|---|
Measurement Range | Diameter: 10mm – 1200mm | Length: 1m – 12m | Thickness: 0.5mm – 50mm |
Accuracy | ±0.1mm (diameter/thickness) | ±1mm (length) |
Control Interface | Touchscreen HMI (7-inch/10-inch optional) | Multi-language support |
Communication | Modbus RTU/TCP, Ethernet/IP, RS-485 | Cloud connectivity (optional) |
Power Supply | 24V DC ±10% | Operating Temperature: -10°C to 50°C |
Certifications | CE, ISO 9001, RoHS | IP65 Protection (control unit) |
Core Features
1. Real-Time Monitoring & Alerts
Laser & Ultrasonic Sensors
Track pipe diameter, wall thickness, and ovality with micron-level precision.Temperature Feedback
Monitor extruder and cooling zones to prevent material deformation.Auto-Alert System
Trigger visual/audio alarms for parameter deviations or equipment failures.
2. Intelligent Control
Auto-Cut Optimization
Adjust cutting length dynamically based on real-time speed, minimizing end waste.Extruder Speed Sync
Synchronize with haul-off units to maintain uniform tension and prevent sagging.Recipe Management
Save 100+ preset profiles for quick switching between pipe specifications (e.g., SDR11, SDR17).
3. Data-Driven Insights
Production Reports
Generate CSV/PDF reports with timestamped metrics (OD, thickness, reject rates).OEE Dashboard
Track Overall Equipment Effectiveness (OEE) to identify bottlenecks.Cloud Integration
Remote monitoring via IoT platforms (e.g., AWS IoT, Siemens MindSphere).