Intelligent hydropower station material warehouse management system based on digital twin technology

Abstract

The invention provides an intelligent hydropower station material warehouse management system based on a digital twinborn technology, and the system comprises a sensing and control layer which is disposed in a physical space of a hydropower station material warehouse, and is used for collecting the real-time data of materials and environment, and executing a control instruction, the system comprises an RFID tag attached to a material, at least one RFID reader-writer deployed in a warehouse, and an Internet of Things sensor used for monitoring warehouse environment parameters. The data transmission and processing layer is in communication connection with the sensing and control layer and comprises an industrial gateway used for data aggregation and a middleware server, and a data fusion engine and an interface connected with an SAP ERP system are arranged in the middleware server; and the application and display layer is in communication connection with the data transmission and processing layer and comprises a digital twin platform, and the platform is loaded with a three-dimensional model corresponding to a physical warehouse and is used for realizing visualization of the warehouse state, positioning and management of materials and guidance of an operation process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydropower station material management, and particularly relates to an intelligent hydropower station material warehouse management system based on digital twin technology. BACKGROUND

[0002] The traditional hydropower station material warehouse management generally has the following pain points: 1. Information island: the physical inventory state (physical account) of the warehouse and the account inventory (financial account) in the SAP system are often inconsistent, leading to inconsistent accounts and physical, and frequent manual inventory is required, which is time-consuming and error-prone.

[0003] 2. Difficulty in addressing: the hydropower station spare parts are of various types and complex specifications, and the warehouse space is huge. The warehouse administrator spends a lot of time and effort to find specific materials, especially in emergency repair, which is low in efficiency.

[0004] 3. Low visualization: the management personnel cannot intuitively and timely understand the overall warehouse capacity, material distribution, and cargo space state, and the decision lacks data support.

[0005] 4. Intransparent operation process: the warehousing, shelving, picking, and delivery of materials rely on paper documents or manual memory, and the process is difficult to trace, which is prone to wrong delivery and missing delivery.

[0006] 5. Coexistence of inventory accumulation and shortage: due to the lack of accurate dynamic data, it is difficult to develop scientific procurement and use plans, leading to the accumulation of some materials, while the key materials may be in short supply.

[0007] Although the existing warehouse management system (WMS) can solve some problems, it is often independent of the core ERP system (such as SAP), forming a new information island, and lacking high-fidelity three-dimensional visualization and real-time interaction capability for the physical warehouse. SUMMARY

[0008] The present application aims to at least partially solve one of the technical problems in the related art.

[0009] To this end, the present application aims to provide an intelligent hydropower station material warehouse management system based on digital twin technology.

[0010] To achieve the above-mentioned purpose, the present application provides an intelligent hydropower station material warehouse management system based on digital twin technology, comprising: a perception and control layer, which is deployed in the physical space of the hydropower station material warehouse, and is used for collecting real-time data of materials and environment and executing control instructions, and comprises an RFID tag attached to the materials, at least one RFID reader deployed in the warehouse, and an Internet of Things sensor for monitoring the environmental parameters of the warehouse; A data transmission and processing layer, which is in communication connection with the perception and control layer, comprises an industrial gateway and a middleware server for data aggregation, the middleware server is internally provided with a data fusion engine and an interface with an SAP ERP system; An application and display layer, which is in communication connection with the data transmission and processing layer, comprises a digital twin platform loaded with a three-dimensional model corresponding to the physical warehouse for realizing warehouse state visualization, material positioning and management, and operation process guidance. The real-time data collected by the perception and control layer is fused through the data transmission and processing layer, drives the digital twin model in the application and display layer to keep synchronization with the physical warehouse, and realizes bidirectional data interaction with the material management module in the SAP ERP system.

[0011] Optionally, the perception and control layer further comprises an indoor positioning system for real-time and accurate positioning of personnel wearing positioning tags or mobile devices installed with positioning modules.

[0012] Optionally, the indoor positioning system is an ultra-wideband positioning system.

[0013] Optionally, the Internet of Things sensors comprise temperature and humidity sensors and fire sensors.

[0014] Optionally, the RFID reader / writer comprises a fixed reader / writer and a handheld reader / writer, and the fixed reader / writer is deployed at warehouse entrances and exits and key passages.

[0015] Optionally, the interface between the middleware server and the SAP ERP system realizes data communication through an RFC, IDoc or RESTful API mode.

[0016] Optionally, the digital twin platform is configured to receive business instructions from the SAP ERP system, highlight the position of target materials in the three-dimensional model, and generate an optimal picking path for navigation.

[0017] Optionally, the system further comprises a monitoring large screen connected with the digital twin platform for displaying the three-dimensional visualization state of the warehouse, inventory data, alarm information and operation performance board.

[0018] Optionally, the RFID tag is a passive ultra-high frequency tag.

[0019] The technical scheme provided by the embodiment of the application at least brings the following beneficial effects: (1) Real-time synchronization, 100% accuracy: any inventory change in the physical world (automatically sensed by RFID) will trigger real-time account update in the SAP system, completely eliminating the discrepancy between accounts and reality.

[0020] (2) Extremely fast addressing and intelligent guidance: After the administrator creates a delivery order in SAP, the system can highlight the exact location of the target material in the digital twin model and generate the optimal picking path to guide personnel or AGV to go.

[0021] (3) Full-process transparency and traceability: From material warehousing, shelving, inventory, relocation to warehousing, the entire life cycle is recorded in the digital twin, which can be quickly traced.

[0022] (4) Scientific decision support: Visual display of warehouse capacity utilization, material turnover rate, heat map analysis, etc., to provide intuitive data dashboards for warehouse layout optimization and inventory strategy formulation.

[0023] (5) Improve operation safety: Integrate environmental monitoring and alarm to ensure the safety of the material storage environment.

[0024] Additional aspects and advantages of the application will be in part apparent and in part pointed out hereinafter in the description. BRIEF DESCRIPTION OF DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, taken in conjunction with the accompanying drawings, in which: Figure 1 A structure diagram of an intelligent hydropower station material warehouse management system based on digital twin technology provided by an embodiment of the application. DETAILED DESCRIPTION

[0026] Embodiments of the application are described in detail below, examples of which are shown in the accompanying drawings, in which the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below are exemplary and are intended to explain the application, and cannot be understood as limiting the application.

[0027] Figure 1 A structure diagram of an intelligent hydropower station material warehouse management system based on digital twin technology provided by an embodiment of the application. As shown in the figure, Figure 1 The system includes a perception and control layer 1, a data transmission and processing layer 2, and an application and display layer 3.

[0028] (1) Perception and control layer.

[0029] In the embodiments of the present application, the perception and control layer is the basic layer of the entire intelligent hydropower station warehouse management system, deployed in the physical warehouse space, mainly responsible for data collection, on-site perception and execution control functions. Through the comprehensive application of various sensing devices, automatic identification devices and positioning technologies, a comprehensive perception network of the warehouse operation state is constructed, realizing real-time monitoring and intelligent linkage of material, environment and personnel information.

[0030] In the embodiments of the present application, the perception and control layer includes RFID tags attached to the materials, at least one RFID reader deployed in the warehouse, and Internet of Things sensors for monitoring environmental parameters. Each material pallet or important independent piece is attached with a passive ultra-high frequency (UHF) RFID tag, which serves as the unique digital identity card of the material. The tag stores the unique code, model, batch, supplier and storage time of the material, etc. Key information, realizing identity recognition and information tracing from storage, shelving, delivery to inventory of the whole process. Compared with the traditional bar code identification method, RFID identification has the advantages of no need to touch, long identification distance, batch reading, strong anti-pollution ability, etc., which can significantly improve the automation and intelligence level of warehouse management.

[0031] In the embodiments of the present application, the RFID reader includes two types of fixed reader and handheld reader. The fixed RFID reader is usually installed at the entrance and exit of the warehouse, the loading and unloading area and the main channel position, used for automatic identification and recording of materials entering and leaving the warehouse, realizing real-time monitoring of the warehouse process; the handheld reader is carried by the warehouse manager or operator, used for material inventory, relocation confirmation, abnormality checking and other tasks, which can realize flexible mobile identification operation. Through the collaborative application of fixed and handheld readers, the system can realize the overall visualization and information synchronization of materials in different business scenarios.

[0032] In the embodiments of the present application, the perception and control layer is also configured with various Internet of Things sensors for monitoring the warehouse environment state. These sensors include temperature and humidity sensors, fire sensors, etc., for real-time collection of environmental parameters such as temperature, humidity, smoke concentration and fire state inside the warehouse. When environmental abnormalities (such as temperature and humidity exceeding the standard, smoke alarm) are detected, the system can automatically trigger the early warning mechanism and upload the relevant data to the upper layer data processing system and digital twin platform, realizing the intelligentization and automation of safety protection. Through the deployment of these sensors, the warehouse manager can real-time grasp the environmental conditions, and ensure the safe storage conditions of the materials.

[0033] In the embodiments of the present application, in order to realize high-precision positioning and dynamic management of personnel and mobile devices, the perception and control layer further comprises an indoor positioning system. The system adopts ultra-wideband (UWB) positioning technology to provide real-time positioning services at the centimeter level for warehouse workers wearing positioning tags, automatic guided vehicles (AGVs), forklifts and other mobile devices. The UWB positioning system calculates real-time coordinate information through the signal time of flight (TOF) ranging principle between multiple positioning base stations arranged in the warehouse space and the positioning tags, thereby realizing three-dimensional space positioning and trajectory tracking. The system can visually display the motion trajectory, work area distribution and safety distance state of personnel and devices on the digital twin platform, and realize dynamic monitoring and safety management of warehouse operations. When it is detected that personnel enter a dangerous area or vehicle driving paths conflict, the system can automatically issue a warning instruction to reduce safety risks.

[0034] In the embodiments of the present application, the perception and control layer can also be optionally equipped with a high-definition network camera for video monitoring and image acquisition. The camera can be deployed at entrances and exits, key storage areas and work areas, and linked with RFID and positioning data in the system to realize multi-dimensional association of “image + identity + location”. When the system identifies specific material access or abnormal events, it can automatically retrieve the corresponding video clips to realize event backtracking and responsibility tracking.

[0035] In addition, in order to improve the real-time performance and data reliability of the system, edge computing nodes can be introduced in the design of the perception and control layer in the embodiments of the present application. The edge computing device is deployed on site in the warehouse for pre-processing and local caching of collected RFID, sensor and positioning data, thereby reducing the computing load of the central server and ensuring that critical data can still be processed and control instructions executed locally when the network fluctuates or is disconnected.

[0036] To sum up, in the embodiments of the present application, the perception and control layer realizes multi-dimensional perception and dynamic control of materials, environment, personnel and equipment by integrating RFID identification technology, Internet of Things sensing, UWB precise positioning and edge computing technology, and builds an intelligent basic perception system for the material warehouse of the hydropower station. This layer provides reliable data sources and real-time support for subsequent data fusion analysis, digital twin modeling and intelligent decision-making, and is a key foundation for realizing digital and intelligent management of the warehouse.

[0037] (2) Data transmission and processing layer.

[0038] In the embodiments of the present application, the data transmission and processing layer serves as the central bridge of the entire system, mainly realizing efficient communication, data aggregation and fusion processing functions between the field data collected by the perception and control layer and the upper-layer business system. This layer ensures the bidirectional data flow between the physical world and the information world, and is a key technical support for realizing real-time dynamic mapping and business collaboration of the digital twin model.

[0039] In the embodiments of the present application, the data transmission and processing layer is in communication connection with the perception and control layer, mainly including two core components of industrial gateway and middleware server. Among them, the industrial gateway is deployed in the warehouse site and is responsible for edge aggregation, protocol conversion and preliminary cleaning of data from various Internet of Things sensors, RFID readers, indoor positioning systems and other devices. Due to the diverse types of devices in the warehouse site and the different communication protocols, the industrial gateway supports multiple industrial communication protocols (such as Modbus, OPC UA, MQTT, etc.), which can unify and upload heterogeneous data to the middleware server, thereby realizing the standardization and centralized management of the bottom device data. The industrial gateway also has data caching and breakpoint resume functions, which can ensure the integrity and continuity of data when the network is unstable or temporarily interrupted.

[0040] In the embodiments of the present application, the middleware server as the core component of the data transmission and processing layer is the key node to realize system interconnection and data fusion. The middleware server runs a digital twin engine and a system integration interface, and its built-in data fusion engine is responsible for standardizing processing, semantic association and dynamic modeling of data from different sources. Specifically, the data fusion engine can correspondingly associate and fuse the business data (such as material number, material description, inventory quantity, purchase order, receipt voucher, delivery order, etc.) from the SAP ERP system and the real-time data (such as material location information, state parameters, temperature and humidity environment data, etc.) from the Internet of Things layer, forming a unified data model and providing high-quality data support for the visual display and intelligent analysis of the upper digital twin platform.

[0041] In the embodiments of the present application, the middleware server also undertakes the task of data interaction and integration between systems. The interface between it and the SAP ERP system can be realized in various ways, including RFC (Remote Function Call), IDoc (Intermediate Document) or RESTful API interface. These interfaces realize the bidirectional communication of data, so that the warehouse system and the enterprise ERP system are kept in real-time synchronization. For example, when a new purchase order or receipt task is generated in the SAP system, the related information can be automatically issued to the middleware server and further transmitted to the digital twin platform for task display and operation guidance; conversely, when the warehouse material completes the in-out operation or the inventory changes, the system will automatically return the actual execution result to the SAP system, realizing real-time updating and closed-loop management of business data.

[0042] In the embodiments of the present application, the data fusion engine adopts multi-source heterogeneous data fusion technology to perform timestamp alignment, spatial coordinate matching and semantic unification on the raw data from RFID, sensors, positioning systems and video monitoring, thereby eliminating the data island problem and realizing deep fusion of multi-dimensional information. For example, the system can determine the accurate position of a specific material in the warehouse by fusing RFID identification records and UWB positioning information; and in combination with environmental sensing data, it can determine whether the environmental conditions of the storage area where the material is located meet the requirements, thereby presenting the real-time storage state in the digital twin model. This fusion processing not only improves the accuracy and usability of data, but also provides a basis for intelligent alarm, operation optimization and prediction analysis.

[0043] In the embodiments of the present application, the middleware server can also be built-in with a rule engine and a data security module. The rule engine can perform conditional judgment and event triggering on the collected data according to the preset business logic, such as when the quantity of materials out of the warehouse is abnormal or the warehouse temperature and humidity exceed the standard, the system automatically generates alarm information and pushes it to the upper layer platform. The data security module is responsible for encrypting and access controlling the communication link and stored data, ensuring the confidentiality and integrity of system data transmission, and meeting the industrial network security standard.

[0044] In addition, in some embodiments, the data transmission and processing layer can be implemented through a cloud-edge collaborative architecture. The middleware server can be deployed in the enterprise local data center or hosted on the cloud platform to realize centralized management and interconnection of data across sites and multiple warehouses. Through cloud deployment, the enterprise can monitor and schedule the running state of different hydropower station warehouses to realize group-level optimization of material resources.

[0045] In summary, the data transmission and processing layer of the embodiments of the present application realizes bottom layer data aggregation and protocol unification through an industrial gateway, realizes multi-source data fusion and system integration through a middleware server, and realizes real-time synchronization of business data and field data through a bidirectional interface with the SAP ERP system. This layer plays a role in connecting the upper and lower layers in the entire system architecture and is the key hub connecting the physical warehouse and the digital twin platform, effectively supporting the realization of warehouse digitization, intelligentization and fine management.

[0046] (3) Application and display layer.

[0047] In the embodiments of the present application, the application and display layer, as the upper layer functional module of the system, is in communication connection with the data transmission and processing layer and is the core part of realizing warehouse visual management, intelligent scheduling and decision support. This layer builds a virtual-real integrated warehouse management environment based on digital twin technology, realizes comprehensive perception, intuitive display and intelligent guidance of the warehouse running state through linkage of three-dimensional visualization model and real-time data.

[0048] In the embodiments of the present application, the application and display layer includes a digital twin platform loaded with a high-precision three-dimensional model corresponding to the physical warehouse. The three-dimensional model is based on the architectural structure, shelf layout, storage location distribution, and passage location of the physical warehouse, and is digitally reconstructed in a 1:1 scale, so that the virtual model completely corresponds to the real warehouse space. Each shelf, storage location, and material node in the model has an independent attribute identifier and is bound to real-time data collected by the perception and control layer, thereby realizing dynamic mapping of physical entities and digital objects. Through this mapping relationship, the system can reflect the in-out status of materials, inventory distribution, changes in environmental parameters, and other information in real time, providing a comprehensive, accurate, and visual panorama of warehouse operation for management personnel.

[0049] In the embodiments of the present application, the digital twin platform not only undertakes the function of three-dimensional visualization display of the warehouse, but also has the ability of intelligent management and business linkage. Through the interface with the middleware server and the SAP ERP system, the platform realizes the reception of business instructions and task driving. When the ERP system issues an in-out or inventory task, the digital twin platform can automatically highlight the location of the target material or storage location in the three-dimensional model, and generate an optimal picking route based on the warehouse space layout and traffic rules using a path planning algorithm. The system can display the navigation results in a visual form on the three-dimensional interface and push them to the operation terminal (such as a mobile PDA or AGV scheduling system), providing precise operation guidance for the operation personnel, thereby greatly improving the efficiency and accuracy of warehouse operation.

[0050] In the embodiments of the present application, the visual operation interface of the digital twin platform can be presented in various forms, including a large-screen cockpit, a PC application, and a mobile application. The cockpit large screen is usually deployed in the warehouse monitoring center or management command room for centralized display of the overall operation status of the warehouse. The interface can dynamically present the three-dimensional space model of the warehouse, material distribution, environmental monitoring data, real-time location of personnel and equipment, and other information, and the management personnel can monitor the warehouse operation from a global perspective by zooming in, rotating, and switching the viewing angle through interactive operation. At the same time, the large-screen system can integrate multi-dimensional data dashboards to display inventory statistics, operation performance, alarm information, and key performance indicators (KPIs) in real time, helping decision-makers to conduct data-driven management analysis.

[0051] In some embodiments, the digital twin platform can also combine video monitoring and AI visual recognition to realize the linkage of image and model data. When the system detects a specific event (such as abnormal out-of-warehouse, equipment failure, personnel boundary crossing, etc.), it can automatically locate the event occurrence position and highlight the corresponding area in the three-dimensional model, while calling real-time or historical video images to realize integrated linkage management of “event-space-video”. This function enables the manager to quickly locate the problem and trace the cause, improving the emergency response speed.

[0052] In the embodiments of the present application, the digital twin platform also has data analysis and prediction functions. Through comprehensive analysis of historical operation data, equipment operation data and environmental monitoring data, the system can automatically generate inventory change trend, equipment health assessment and warehouse utilization rate analysis reports. At the same time, the platform can use machine learning algorithms to predict future warehouse demand, material turnover cycle and operation bottlenecks, providing decision-making basis for warehouse operation optimization.

[0053] In addition, the digital twin platform can support multi-role hierarchical management and permission control, and different role users (such as warehouse managers, operators, maintenance personnel, management) can view and operate different function modules according to permissions. For example, warehouse managers can perform warehouse entry and exit operations, task allocation and state monitoring, and management can view statistical reports and performance analysis. The system also supports multi-terminal synchronous access to ensure that users at different levels can master the real-time warehouse operation dynamics.

[0054] In the embodiments of the present application, in order to enhance the display effect and interactive experience, the digital twin platform can combine three-dimensional rendering, virtual reality (VR) or augmented reality (AR) technology to enable users to observe the warehouse state through immersive interaction, and even simulate operation processes and equipment scheduling in a virtual scene, achieving more intuitive training, drilling and optimization decision-making.

[0055] In summary, in the embodiments of the present application, the application and display layer realizes three-dimensional visual management of the warehouse, intelligent linkage of business tasks, automatic planning of operation paths, and multi-dimensional analysis of operation status by building a digital twin model that completely corresponds to the physical warehouse. Combined with the comprehensive display capability of the monitoring large screen and the interactive application of the multi-terminal, the system not only improves the visualization and transparency of warehouse management, but also realizes the intelligentization and collaboration of the operation process, providing efficient, controllable and intelligent digital support for the material management of hydropower stations.

[0056] In the embodiments of the present application, the perception and control layer, the data transmission and processing layer, and the application and display layer form a complete closed-loop structure through a systematic data interaction mechanism. The perception and control layer is responsible for real-time data collection in the physical warehouse, including material identification information, location information, environmental parameters, and the dynamic state of personnel and equipment. The above data is transmitted to the data transmission and processing layer after being aggregated by the industrial gateway, and is comprehensively processed and semantically integrated in the data fusion engine of the middleware server.

[0057] Specifically, in the embodiments of the present application, the various types of data collected by the perception and control layer are first converted in protocol and formatted by the industrial gateway, and then transmitted to the data fusion module of the middleware server. This module uniformly models and spatiotemporally aligns the data from different devices and systems, and bidirectionally maps and fuses the real-time data of the Internet of Things layer with the business data stored in the SAP ERP system. For example, when a batch of materials is warehoused, the system will automatically associate the tag information collected by the RFID reader with the corresponding purchase order, receipt voucher and other business data in the ERP system, thereby synchronously updating the three-dimensional position, inventory status and business attributes of the materials on the digital twin platform, realizing dynamic consistency of virtual and real fusion.

[0058] In the embodiments of the present application, the fused data is driven by the data transmission and processing layer to update the digital twin model in the application and display layer in real time, so that the virtual warehouse model can accurately reflect the actual operating status of the physical warehouse. After receiving the update data from the middleware server, the digital twin platform will automatically adjust the location status, material quantity, environmental parameters and equipment operation in the model, thereby ensuring that the virtual scene and the real world are highly synchronized. For example, when the RFID system detects that a material is read from the warehouse exit, the digital twin model will immediately mark the material as “out of warehouse” at the corresponding shelf location and update the inventory statistics.

[0059] In the embodiments of the present application, this data synchronization is not only limited to information transmission within the warehouse, but also realizes bidirectional interaction with the material management module of the SAP ERP system. Specifically, when the material status or inventory quantity in the digital twin platform changes, the middleware server will push the change information to the SAP system in real time through RFC, IDoc or RESTful API interface, so that the inventory data in the ERP system is automatically updated, avoiding manual input errors and improving the automation and accuracy of business processes. Conversely, when the SAP system generates new business instructions (such as purchase orders, warehouse-out tasks or inventory adjustment orders), the system can automatically deliver the instruction content to the digital twin platform to realize task issuance and visual execution. The platform will highlight the location of the target material in the three-dimensional model and generate optimal path navigation information to guide the operator to efficiently complete the operation.

[0060] In the embodiments of the present application, the data transmission and processing layer realizes the digital twin platform not only with the ability of “real-time reflection”, but also with the function of “intelligent feedback” through continuous data collection, fusion and synchronization mechanism. When the system detects abnormal events (such as inventory discrepancy, environmental overrun, material loss, etc.), it can synchronize the alarm information to the SAP system or the management terminal through the bidirectional interaction mechanism, realizing the closed-loop control from perception, analysis to decision.

[0061] In summary, in the embodiments of the present application, the real-time data collected by the perception and control layer is fused and analyzed by the data transmission and processing layer, driving the digital twin model in the application and display layer to maintain high synchronization with the physical warehouse, realizing virtual-real integrated warehouse management. At the same time, the system and the material management module of the SAP ERP system realize the bidirectional interaction of data, not only ensuring the consistency and real-time of the warehouse business data, but also realizing the full-process automation and intelligent management from business instruction to on-site execution and then to result feedback. This architecture design enables the warehouse management system to have the capabilities of dynamic visualization, automatic linkage and intelligent decision-making, significantly improving the operation efficiency and management level of the power station material warehouse.

[0062] Taking a typical "material out of warehouse" process as an example, the working process of the system is described: 1. Trigger: The maintenance department engineer creates a maintenance work order in SAP and associates the required material, generating a reservation / shipment order.

[0063] 2. Synchronization: The middleware server obtains the shipment order information from SAP in real time.

[0064] 3. Guidance: After receiving the instruction, the digital twin platform immediately locates the precise storage location of the material in the three-dimensional model and highlights it. At the same time, the system sends the picking task to the warehouse manager's terminal through the PDA and displays the optimal path navigation.

[0065] 4. Execution: The warehouse manager arrives at the designated storage location according to the PDA navigation and scans the RFID tag on the material for confirmation.

[0066] 5. Verification and update: The PDA sends the "picking completed" confirmation information and RFID data to the SAP system through the middleware.

[0067] The SAP system automatically posts the account, reduces the on-hand inventory of the material, and generates a material voucher.

[0068] The corresponding material status in the digital twin model is updated to "out of warehouse", and the inventory quantity is refreshed in real time.

[0069] 6. Record: The entire operation process (operator, time, location, material information) is recorded completely, forming a traceable electronic log.

[0070] It should be understood that various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present application can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions of the present application can be achieved, which are not limited herein.

[0071] The above detailed description does not limit the scope of the application. Various modifications, combinations, sub-combinations and alternatives can be made to the detailed description. Any modification, equivalent replacement and improvement etc. made within the spirit and principle of the application shall be included in the scope of the application.

Claims

1. A smart hydropower station material warehouse management system based on digital twin technology, characterized in that, include: The sensing and control layer is deployed in the physical space of the hydropower station's material warehouse. It is used to collect real-time data on materials and the environment and execute control commands. It includes RFID tags attached to the materials, at least one RFID reader deployed in the warehouse, and IoT sensors for monitoring warehouse environmental parameters. The data transmission and processing layer is communicatively connected to the sensing and control layer, and includes an industrial gateway for data aggregation and a middleware server. The middleware server has a built-in data fusion engine and an interface with the SAP ERP system. The application and presentation layer is communicatively connected to the data transmission and processing layer. It includes a digital twin platform, which is loaded with a three-dimensional model corresponding to the physical warehouse, for the purpose of visualizing the warehouse status, locating and managing materials, and guiding the work process. The real-time data collected by the perception and control layer is fused through the data transmission and processing layer to drive the digital twin model in the application and presentation layer to keep synchronized with the physical warehouse and to achieve bidirectional data interaction with the materials management module in the SAP ERP system.

2. The system according to claim 1, characterized in that, The sensing and control layer also includes an indoor positioning system for real-time and accurate positioning of people wearing positioning tags or mobile devices equipped with positioning modules.

3. The system according to claim 2, characterized in that, The indoor positioning system is an ultra-wideband positioning system.

4. The system according to claim 1, characterized in that, The IoT sensors include temperature and humidity sensors and fire sensors.

5. The system according to claim 1, characterized in that, The RFID readers include fixed readers and handheld readers; the fixed readers are deployed at warehouse entrances and exits and key passages.

6. The system according to claim 1, characterized in that, The middleware server communicates with the SAP ERP system via RFC, IDoc, or RESTful API.

7. The system according to claim 1, characterized in that, The digital twin platform is configured to receive business instructions from the SAP ERP system, highlight the location of target materials in the 3D model, and generate the optimal picking path for navigation.

8. The system according to claim 1, characterized in that, The system also includes a large monitoring screen, which is connected to the digital twin platform and is used to display the three-dimensional visualization status of the warehouse, inventory data, alarm information, and operational performance dashboards.

9. The system according to claim 1, characterized in that, The RFID tag is a passive UHF tag.

Images