Human-machine interaction technology for intelligent automated storage and retrieval systems (AS/RS) is a core element in achieving intelligent and efficient warehouse management. It combines automated equipment, sensing technology, data management, and user interface design to build a bridge for collaborative work between humans and the system.
Below is a detailed analysis of its key technologies and application scenarios:

Core Technology Components

- Automatic Identification and Data Acquisition Technology
- RFID/Barcode Technology: Utilizes RFID tags or barcodes for quick identification and acquisition of goods information, synchronizing with the database in real-time to support automated inventory and stock management.
- Electronic Label Display: Some systems use LED or LCD screens to display goods information (such as batch number, expiration date), facilitating manual verification and operation.

- Human-Machine Interaction Terminals and Interfaces
- PDA and Mobile Terminals: Warehouse personnel use PDAs to scan goods labels, completing in-bound and out-bound operations; the system automatically records and updates inventory information.
- Data Dashboard and Visual Interface: A customized data dashboard displays inventory status, equipment operation status, etc., supporting quick decision-making by managers. For example, the Pangao Shou intelligent AS/RS project uses a WMS system to achieve real-time management of goods categories and batches, simplifying manual operations.

- Voice and Gesture Interaction
- Some advanced systems support voice command control of equipment (such as stacker cranes, AGVs), or gesture recognition to assist operations, improving efficiency and reducing error rates.

- Intelligent Scheduling and Decision Support
- WMS/WCS System Integration: The Warehouse Management System (WMS) and Warehouse Control System (WCS) work together, automatically assigning tasks (such as AGV path planning, stacker crane access order) based on manual instructions or system strategies.
- Semi-structured Decision-Making: Using data models and machine learning algorithms, the system can assist managers in optimizing inventory layout, predicting demand, and adjusting strategies through the human-machine interaction interface.

Typical Application Scenarios

- In-bound and Out-bound Operations
- Personnel issue instructions through the terminal, and the system automatically allocates storage locations and dispatches AGVs or stacker cranes to complete the work. For example, the Pangao Shou project mentions that "warehouse personnel only need to place an order to complete the handling."
- Electronic labels or data dashboards display the location of goods in real-time, reducing manual search time.

- Inventory Check and Monitoring
- RFID technology enables long-distance batch inventory checks, replacing traditional manual counting, significantly improving efficiency.
- The visual interface monitors the inventory status (such as temperature and humidity-sensitive goods) in real-time, and automatically alerts in case of anomalies.

- Nighttime Inventory Management and Batch Management
- The system supports automatic inventory management at night, such as organizing and collecting scattered goods, and preparing goods according to out-bound orders to improve efficiency the next day.
- Through the batch number traceability function, the entire supply chain is visualized, meeting quality control needs.

Development Trends and Innovative Directions

- AI and Big Data Integration: The future may introduce more intelligent prediction algorithms (such as demand prediction, storage location optimization), and achieve more flexible voice interaction through natural language processing (NLP).

- Augmented Reality (AR) Technology: AR glasses guide manual operation of complex tasks (such as high-bay rack maintenance), improving safety and accuracy.

- Human-Machine Collaboration Optimization: While retaining human flexibility, automated equipment undertakes repetitive labor, such as AGVs for handling and personnel for sorting and verification, achieving a balance between efficiency and cost.

Human-machine interaction technology for intelligent AS/RS, by integrating automatic identification, intelligent terminals, visualization systems, and AI algorithms, has achieved a transformation from "human-dominated" to "human-machine collaboration."
Its core value lies in reducing reliance on manual labor, improving operational accuracy and efficiency, and optimizing warehouse management through data-driven decision support. In the future, with the deepening of AR and IoT technologies, human-machine interaction will become more natural and efficient, driving the warehousing industry towards full intelligence.