Contact: Manager Zhang
Marketing Email: 13524644985@163.com
Marketing Phone: 13524644985 / +86 0512-65163891
Website: www.sydznkj.cn
Address: SHENG YI DE TECHNOLOGY (Suzhou) Co., Ltd., No. 10 Kerong Road, Xinzhuang Town, Changshu City, Suzhou, China
With the in-depth digital and intelligent transformation of the smart warehousing industry, challenges such as drastic fluctuations in order peaks, a sharp surge in SKU quantities, and growing difficulties in the collaborative operation of equipment clusters have become increasingly prominent. Traditional management modes can no longer meet the core requirements of real-time monitoring, precise scheduling and risk early warning. The introduction of digital twin technology has opened up a new path for building a full-process visual management system for intelligent automated warehouses. By establishing real-time mapping between the physical warehouse and its virtual counterpart, it enables visual control over all warehousing operations, full equipment status, and end-to-end data links. It solves the pain points in traditional warehouse management of being unseen, uncontrollable and inaccurately schedulable, drives the upgrading of intelligent automated warehouses from automation to digital intelligence, greatly improves warehousing operational efficiency, reduces management costs, and provides strong support for enterprise supply chain optimization.The core of full-process visual management based on digital twins for intelligent automated warehouses is to rely on digital twin technology, integrate cutting-edge technologies such as the Internet of Things, big data, artificial intelligence and 5G, and build a virtual simulation model covering the entire workflow of inbound – storage – picking – outbound – operation and maintenance. It realizes real-time synchronization and virtual–physical interaction between the virtual mirror and the physical warehouse. Meanwhile, through a visual platform, complex warehousing data, equipment status and operation progress are converted into intuitive graphical information, achieving transparent and refined management across the entire process. Its core architecture, full-process applications, key values and implementation considerations are detailed as follows:
The full-process visual management system for intelligent automated warehouses based on digital twins consists of four core layers from bottom to top. Each layer works collaboratively to form a closed-loop management covering data collection through decision execution, providing solid technical support for full-process visualization and complying with mainstream industrial architecture standards.
As the data source and execution terminal of the entire system, this layer includes all physical elements of the intelligent automated warehouse, such as high-rise racks, stackers, conveyors, AGV/AMR robots, WMS/WCS systems and sensors. By deploying various sensors such as photoelectric sensors, temperature and humidity sensors, vibration sensors and encoders on equipment, storage locations and operation areas, it collects real-time data on goods, equipment operating parameters, operational status and environmental indicators. It provides authentic and real-time data support for virtual mirror modeling and visual presentation, enabling comprehensive perception of the physical warehouse.
Adopting multi-dimensional modeling and simulation technologies, it constructs a 1:1 virtual mirror model corresponding to the physical automated warehouse, achieving accurate mapping of all physical elements and details. The modeling scope covers rack layout, equipment positioning, storage location distribution, operation paths and environmental layout. It not only restores the geometric form of the physical warehouse, but also incorporates operational logic including equipment operating rules, workflow specifications and goods storage characteristics. It ensures real-time synchronization of actions, status and data between the virtual model and the physical warehouse, realizing synchronous virtual response to physical changes, and laying the foundation for visual control and virtual simulation deduction.
Integrating a data middle platform, algorithm library and simulation engine, this layer consolidates various data collected from the physical entity layer, including equipment operation data, goods data, operational data and environmental data. Through data cleaning, filtering and integration, it realizes unified management and synchronous updating of multi-source data. Supported by 5G low-latency transmission technology, it achieves millisecond-level data synchronization between the physical warehouse and the virtual mirror, guaranteeing the timeliness and accuracy of visual presentation, and providing data support for subsequent visual monitoring, intelligent scheduling and risk early warning.
Serving as the operation interface for managers, it presents the virtual mirror and real-time data in intuitive graphical forms through immersive large screens, PC terminals and mobile terminals. It supports functions such as multi-angle view switching, detail zooming and abnormal early warnings. Managers can check the full-process status of warehouse operations in real time, issue work instructions, adjust scheduling schemes and handle abnormal issues, achieving the management goal of one screen overseeing the entire warehouse. In some scenarios, VR technology can be integrated to enable convenient operations such as gesture-interactive warehouse scheduling.
Digital twin full-process visual management runs through all operational links of intelligent automated warehouses, including inbound, storage, picking, outbound and operation and maintenance. It breaks information barriers between individual processes and makes every link visible, traceable and controllable. Combined with industry practices, the specific applications are as follows:
During goods inbound, technologies such as RFID and visual recognition collect information including product specifications, quantity, batch numbers and shelf life, which are synchronized in real time to the virtual mirror. The visual platform accurately displays inbound trajectories and verification status of goods. Managers can intuitively check whether goods meet inbound standards and are accurately placed in designated temporary storage areas via the virtual mirror. Meanwhile, the system automatically optimizes inbound routes and storage location allocation through virtual simulation, and schedules stackers and AGV robots to complete inbound tasks. It realizes visual monitoring and intelligent scheduling of the inbound process, avoids manual operational errors and improves inbound efficiency. For instance, some intelligent material warehouses assign exclusive digital codes to goods to realize accurate collection and visual traceability of inbound information with zero manual intervention throughout the process.
During storage, the virtual mirror synchronizes real-time information such as storage location occupancy, goods storage status, equipment operation status and environmental parameters including temperature, humidity and cleanliness in the physical warehouse. On the visual platform, different colors and icons distinguish occupied, vacant and abnormal storage locations. Managers can quickly locate the storage position, storage duration and batch information of any goods, enabling precise inventory control. Meanwhile, the platform monitors the operating status of stackers and racks in real time. In case of storage location congestion, equipment abnormalities or excessive environmental parameters, the system automatically triggers early warnings to prompt timely handling, preventing risks such as goods damage and equipment failure. The Fuzhou Transit Warehouse of State Grid Fujian Electric Power adopts this mode to realize real-time perception of equipment status and automatic early warning of potential faults, building an intelligent operation system featuring one-map visualization and one-network unified control.
During picking operations, the visual platform automatically generates the optimal picking path according to order requirements, marking the picking sequence, storage locations and quantities on the virtual twin model. It synchronizes the real-time progress of picking robots or manual picking simultaneously.Managers can directly view the real-time picking progress, pending tasks and abnormal conditions (such as picking errors and missing goods) through the virtual model. They can promptly adjust picking strategies and optimize the scheduling of personnel and equipment to ensure efficient and accurate picking operations.Through digital twin virtual simulation and deduction, the picking process can be pre-simulated to optimize picking routes, reducing picking time and costs. In some scenarios, picking efficiency can be increased 5 to 10 times compared with traditional modes.
When goods are outbound, the visual platform displays real-time information such as batch, quantity and destination of outgoing goods, and synchronously shows the operation trajectories of stackers and conveyors. Managers can visually verify whether outbound goods match order requirements to prevent incorrect or missing deliveries.Meanwhile, the virtual twin enables real-time monitoring of outbound progress and cargo transit trajectories, ensuring timely and accurate delivery. For goods with special requirements such as cold-chain products and precision parts, the visual platform can monitor environmental parameters throughout the outbound process to guarantee product quality.SF Express hub warehouses adopt this mode to realize real-time temperature and humidity monitoring linked with air conditioning systems, ensuring the storage and outbound quality of goods.
Relying on digital twin technology, real-time operating parameters of equipment including stackers, conveyors and sensors (such as rotating speed, temperature and vibration frequency) are displayed on the virtual model. AI algorithms analyze equipment operating status to enable predictive maintenance.Potential faults can be warned 3 to 7 days in advance, with fault locations, types and handling suggestions marked on the visual platform, reminding maintenance personnel to conduct timely inspection and repair and reduce equipment downtime.In addition, the visual platform queries equipment maintenance records and spare parts inventory to formulate reasonable maintenance plans, extend equipment service life and reduce operation and maintenance costs. It is also possible to simulate equipment fault scenarios on the virtual model to carry out maintenance training and improve personnel troubleshooting capabilities.
Full-process visual management of intelligent AS/RS based on digital twins effectively addresses many pain points in traditional warehouse management through virtual-physical linkage and full-process control, delivering significant economic and management value verified by industry practice:
Improve Operational EfficiencyRealize full-process visualized and intelligent warehouse scheduling, reduce manual intervention and optimize operation routes. It solves common problems such as operation congestion and delayed scheduling in traditional warehouses. In practical cases, warehouse operation efficiency can be increased by 200%, material supply cycle shortened by 80%, and inventory turnover rate improved by over 35%.
Reduce Management CostsPredictive maintenance lowers losses caused by equipment downtime; optimized inventory management avoids overstock; labor input is reduced. For some intelligent material warehouses, overall efficiency is more than 3 times higher than traditional warehouses, with labor costs cut by 60%.
Enhance Control AccuracyRealize full-link traceability of goods, equipment and operations, reducing wrong delivery, missing delivery and cargo damage. Inventory accuracy and operation accuracy can reach over 99.99%, solving the long-standing pain points of inconsistent inventory records and difficult responsibility tracing in traditional warehousing.
Lower Trial-and-Error CostsThe virtual twin can simulate different operation scenarios, scheduling schemes and equipment layouts to identify and optimize potential problems in advance, avoiding actual operational losses. Especially in warehouse upgrading and renovation, it greatly reduces renovation risks and costs.
Support Decision OptimizationIntegrate full-process data and display data trends and operational bottlenecks on the visual platform. It provides data support for inventory optimization, equipment upgrading and process improvement, driving warehouse management to shift from experience-driven to data-driven operation, and adapting to the flexible transformation of manufacturing industries and order fluctuation demands of the e-commerce sector.
The deployment of a digital twin full-process visual management system shall be tailored to actual enterprise needs, while avoiding risks in technology, data and operation and maintenance to ensure stable system operation and practical value delivery. Four key points are as follows:
The modeling accuracy of the virtual twin directly determines the effect of visual management. It is necessary to build a 1:1 virtual model strictly according to the actual layout, equipment parameters and operation workflows of the physical AS/RS, while incorporating business logic such as equipment operating rules and operational procedures to avoid synchronization deviation caused by modeling errors.During modeling, comprehensive data collection of the physical warehouse is required to ensure real-time synchronization of actions, status and data between the virtual model and physical warehouse within a reasonable error range. Professional modeling software and virtual reality technology can be adopted to improve modeling precision.
The real-time performance and accuracy of multi-source data are the core foundation of visual management. Optimize the data collection process and select suitable sensors to precisely collect data on equipment operation, goods information and environmental indicators.Establish a sound mechanism for data cleaning and integration to process redundant and erroneous data, realizing unified management and synchronous updating of multi-source data. Leverage 5G low-latency transmission to achieve millisecond-level synchronization between virtual and physical entities, preventing management errors caused by data lag. Ultra-high-frequency RFID technology can be combined in some scenarios to further improve data collection efficiency and accuracy.
Enterprises of different industries and scales differ in warehousing requirements and budget limits. During implementation, select matched technical solutions and functional modules according to actual conditions such as cargo types, operation volume and budget, instead of blindly pursuing high configuration and full functions.Small and medium-sized enterprises can prioritize visual management of core links such as inventory visualization and equipment monitoring, and carry out gradual upgrading. Large enterprises can deploy full-process and full-element visual control based on business needs, while reserving expansion space to adapt to future business growth, such as docking with upstream and downstream supply chain systems to achieve full-chain visual management.
The stable operation of the digital twin full-process visual management system relies on professional management and maintenance personnel. Targeted training should be arranged to help staff master skills including visual platform operation, virtual model interpretation and abnormal problem handling.Establish a complete operation and maintenance mechanism to conduct regular maintenance of the system, equipment and sensors so as to ensure stable operation. Reserve core technologies and spare parts to promptly handle system faults and avoid system paralysis caused by improper maintenance. Regular training based on virtual simulation scenarios can also enhance overall professional competence.To sum up, full-process visual management of intelligent AS/RS empowered by digital twins serves as a core path for the digital and intelligent upgrading of warehousing. By building a virtually linked visual management system covering the entire warehouse workflow, it resolves traditional management pain points and achieves efficiency improvement, cost reduction and precise control.With the continuous maturity of IoT, AI and 5G technologies, the integration of digital twins and intelligent AS/RS will deepen further, gradually evolving toward advanced features such as self-perception, self-decision and self-optimization. It will inject new momentum into the high-quality development of enterprise supply chains and become one of the core development trends in the intelligent warehousing industry.
Service Hotline135-2464-4985
Marketing Email: 13524644985@163.com
Marketing Phone: 13524644985 / +86 0512-65163891
Website: www.sydznkj.cn
Address: SHENG YI DE TECHNOLOGY (Suzhou) Co., Ltd., No. 10 Kerong Road, Xinzhuang Town, Changshu City, Suzhou, China
