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The Intelligent Warehousing System revolutionizes traditional logistics with AI-driven automation and IoT connectivity. Designed for high-speed inventory processing, it combines MVVM architecture and WPF-based interfaces to deliver seamless control over crane scheduling, inventory tracking, and storage optimization
The system divides warehouses into zones based on cargo size, dynamically allocates storage locations, and employs S7 protocol for real-time communication between devices
Certified to ISO 9001 and CE standards, it reduces operational downtime by 30% and supports 24/7 unmanned operations.
Core Selling Points
1. AI-Driven Scheduling: Coordinates multiple cranes for collaborative tasks, minimizing collision risks and maximizing efficiency
2.Real-Time Inventory Tracking: RFID and barcode integration ensure 99.9% accuracy in goods location monitoring
3.MVVM Architecture: Decouples data, logic, and UI layers for scalable and maintainable system design
4.Energy Efficiency: Regenerative braking and smart lighting reduce power consumption by 25%
5. Modular Design: Compatible with AGVs, stacker cranes, and ERP/MES systems for end-to-end automation
The system’s AI algorithm analyzes real-time warehouse data (e.g., cargo size, demand urgency) to assign tasks to cranes and AGVs. It calculates optimal routes to avoid congestion, reducing travel time by 35%
For irregularly shaped items, adaptive grippers and 3D sensors ensure secure handling
Leveraging Entity Framework Core, the system maintains a centralized database for inventory status, expiration dates, and batch numbers. Automated palletizing and retrieval processes achieve 1,500 units/hour throughput, supported by laser-guided AGVs and shuttle cars for 3D storage
·MVVM Framework: Separates data modeling (goods information), business logic (scheduling rules), and UI (WPF dashboards), enabling rapid customization
·WPF Integration: Rich graphical interfaces display heatmaps of storage utilization and crane activity, with drag-and-drop workflow configuration
·IoT Connectivity: S7 protocol and OPC UA standards ensure compatibility with PLCs, sensors, and legacy factory networks
Parameter | Value |
Max Throughput | 1,500 units/hour |
Storage Capacity | Up to 50,000 pallets |
Crane Speed | 240m/min (horizontal), 60m/min (vertical) |
Supported Cargo | 50kg–2,000kg, LWH ≤ 2.5m × 1.5m × 1.5m |
Communication Protocols | S7, Modbus TCP, OPC UA |
Power Consumption | 45kW (peak), 15kW (Eco Mode) |
The Intelligent Warehousing System revolutionizes traditional logistics with AI-driven automation and IoT connectivity. Designed for high-speed inventory processing, it combines MVVM architecture and WPF-based interfaces to deliver seamless control over crane scheduling, inventory tracking, and storage optimization
The system divides warehouses into zones based on cargo size, dynamically allocates storage locations, and employs S7 protocol for real-time communication between devices
Certified to ISO 9001 and CE standards, it reduces operational downtime by 30% and supports 24/7 unmanned operations.
Core Selling Points
1. AI-Driven Scheduling: Coordinates multiple cranes for collaborative tasks, minimizing collision risks and maximizing efficiency
2.Real-Time Inventory Tracking: RFID and barcode integration ensure 99.9% accuracy in goods location monitoring
3.MVVM Architecture: Decouples data, logic, and UI layers for scalable and maintainable system design
4.Energy Efficiency: Regenerative braking and smart lighting reduce power consumption by 25%
5. Modular Design: Compatible with AGVs, stacker cranes, and ERP/MES systems for end-to-end automation
The system’s AI algorithm analyzes real-time warehouse data (e.g., cargo size, demand urgency) to assign tasks to cranes and AGVs. It calculates optimal routes to avoid congestion, reducing travel time by 35%
For irregularly shaped items, adaptive grippers and 3D sensors ensure secure handling
Leveraging Entity Framework Core, the system maintains a centralized database for inventory status, expiration dates, and batch numbers. Automated palletizing and retrieval processes achieve 1,500 units/hour throughput, supported by laser-guided AGVs and shuttle cars for 3D storage
·MVVM Framework: Separates data modeling (goods information), business logic (scheduling rules), and UI (WPF dashboards), enabling rapid customization
·WPF Integration: Rich graphical interfaces display heatmaps of storage utilization and crane activity, with drag-and-drop workflow configuration
·IoT Connectivity: S7 protocol and OPC UA standards ensure compatibility with PLCs, sensors, and legacy factory networks
Parameter | Value |
Max Throughput | 1,500 units/hour |
Storage Capacity | Up to 50,000 pallets |
Crane Speed | 240m/min (horizontal), 60m/min (vertical) |
Supported Cargo | 50kg–2,000kg, LWH ≤ 2.5m × 1.5m × 1.5m |
Communication Protocols | S7, Modbus TCP, OPC UA |
Power Consumption | 45kW (peak), 15kW (Eco Mode) |
