
通过集中控制界面启动自动袋装卸序列。
使用集成的计算机视觉传感器验证袋的完整性和方向。
执行精确的机器人手臂运动,用于提取和放置。
在活动处理周期期间实时监控吞吐量指标。
将操作数据记录到中央数据库以进行性能分析。

Ensure your facility is prepared for seamless deployment with these key considerations.
Allocate a 10m² area with clear access for robotic movement and sensor coverage.
Provide a 3-phase 400V power supply with dedicated circuit breakers.
Ensure high-speed Ethernet or 5G connectivity for real-time analytics.
Verify alignment with OSHA and ISO 10218 standards for industrial robotics.
Schedule operator training on system controls, maintenance, and emergency protocols.
Design for future expansion with additional units and integration with new systems.
Conduct a workflow analysis, select hardware configurations, and finalize integration requirements.
Install and configure the system, followed by a phased rollout across production lines.
Refine AI models with real-world data, adjust workflows, and achieve full operational efficiency.
吞吐效率:系统在无需人工干预的情况下实现目标每小时处理速率。
错误率降低:通过人工智能指导,人工处理错误减少了 95%。
运营可用性:平均系统可用性在连续周期中保持在 98% 以上。
High-resolution cameras and machine learning models enable real-time pouch detection, orientation, and content classification.
Customizable end-effectors and precision actuators handle delicate or heavy pouches with adjustable speed and force.
Centralized dashboard for monitoring throughput, error rates, and predictive maintenance alerts across multiple units.
Wireless integration with factory systems for real-time data exchange and remote diagnostics.
Verify compatibility with existing machinery using the provided compatibility matrix.
Implement role-specific training for operators, maintenance staff, and management.
Enable end-to-end encryption for all data transmissions and regular security audits.
Ensure stable temperature (20-25°C) and humidity (40-60%) for optimal sensor performance.