Intelligent automated warehouse for coil
The intelligent warehousing control system is the core of modern logistics. Through the deep integration of software and hardware, it is reshaping the efficiency and mode of warehousing operations.
The development of intelligent warehousing control systems is moving in the direction of openness, intelligence and precision. It has evolved from a single equipment control center to a comprehensive management platform integrating the Internet of Things, artificial intelligence and big data analysis. The ultimate goal is to help enterprises achieve cost reduction and efficiency improvement, and build a more flexible and resilient supply chain system.
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The core features of intelligent warehouse control system
1. Software and hardware decoupling and open automation
-Separation of hardware and software: Based on the IEC 61499 international standard, the control software is no longer bound to a specific PLC, enabling "one-time programming, anywhere execution", effectively breaking the isolation limitations of traditional proprietary systems.
-Flexible and efficient deployment: Through virtualization technology, new controllers can be created on existing hardware, allowing the expansion of the subsystem without the need for additional hardware. The application of Schneider Electric's EcoStruxure platform demonstrates that this approach can reduce deployment time by at least 20%.
2. Multi-machine collaboration and intelligent scheduling
-Heterogeneous robot cluster control: The control system is capable of simultaneously scheduling various equipment such as four-way forklifts, AGVs/AMRs, and elevators. For instance, the RCS system of KUKA, through AI algorithms optimization, has achieved efficient coordination between four-way vehicles and elevators, enabling the cross-layer transfer of goods.
-Dynamic path planning: In the face of urgent orders or traffic congestion, the system can adjust the AGV's path in real time, prioritize the allocation of the nearest vehicles, and avoid congested nodes. In complex multi-floor environments, the AGV can even be linked with elevators to achieve autonomous cross-floor operations.
3. Complete process perception and digital mapping
-Full-process automatic identification: Extensively applying RFID (Radio Frequency Identification) technology, each piece of material is given a "digital ID card". During the entry and exit of materials, the system can instantly complete batch identification and information update. For example, the application of Anqing Power Plant of China National Energy Group shows that the inventory accuracy rate can reach 99.8%.
-Comprehensive environmental and status monitoring: Integrates various sensors such as temperature and humidity, gas, and vibration to monitor the storage environment in real time. By analyzing the vibration spectrum of forklifts, even hidden patterns of goods damage can be discovered.
-Visual innovation operation mode: Through the panoramic camera on the roof and the deep learning model, the system can automatically conduct scanning and inventory checks every hour, replacing the traditional monthly manual inventory count.
4. High precision execution and operation
5. Data-driven intelligent decision-making
6. IT and OT cooperates deeply
7. High reliability and environment-friendly
