Commercial spaceflight intelligent warehouse management method and system

Abstract

The invention discloses a business spaceflight intelligent warehouse management method and system. The business spaceflight intelligent warehouse management method comprises the following steps: designing a system architecture; after the system architecture design is completed, automatic identification and warehousing of arrived goods and materials are carried out; carrying out warehouse-out processing on the arrived goods and materials which are automatically identified to be warehoused; carrying out cross-warehouse transfer processing on the arriving goods and materials which are automatically identified to be warehoused; and after warehouse-out processing and cross-warehouse transfer processing, the material consumption speed is predicted. According to the method, manual input is replaced by RFID automatic identification, and block chain data storage is combined, so that manual operation errors and data tampering risks are thoroughly eliminated, the material information error rate is greatly reduced, and the data accuracy is remarkably improved.

Description

Technical Field

[0001] This application relates to the aerospace field, specifically to a commercial aerospace intelligent warehouse management method and system. Background Technology

[0002] Warehouse management in commercial aerospace primarily focuses on the storage, inbound and outbound operations, and full lifecycle tracking of materials such as spacecraft components (e.g., engine assemblies, sensors, special materials), fuel, and ground support equipment. Currently, commonly used technologies in the industry include: 1. Traditional manual and barcode-based management. Upon arrival of materials, manual verification of the physical goods against the delivery note is required, along with manually filling out inspection forms and affixing paper barcode labels. Data is then entered into an Excel ledger using a barcode scanner. Storage environment relies on regular manual inspections and records; inventory checks require item-by-item barcode scanning for verification, and discrepancies require handwritten reports and approval. Material requisition requires a paper application form with three levels of approval, necessitating manual review of numerous paper documents during traceability, taking over 48 hours. This solution suffers from low data accuracy, poor traceability efficiency, and high labor costs. Furthermore, barcodes are easily worn, become unreadable due to oil contamination, and require additional plastic sealing in special environments. 2. The rudimentary information management system adopts a client / server (C / S) model, with a locally deployed SQL Server 2016 database. Clients are desktop computers not connected to the aerospace internal network. It only provides basic inventory display, inbound / outbound time records, and monthly inventory summary export functions. It cannot segment materials by model, associate with testing reports, or filter data by spacecraft model or mission phase. This solution lacks cross-warehouse collaboration capabilities, requires manual communication for material transfers, is prone to information delays, and lacks a risk warning mechanism, making it difficult to meet the stringent requirements of aerospace materials regarding storage environment and shelf life.

[0003] Therefore, how to provide a commercial aerospace intelligent warehouse management method that can eliminate human error, monitor the storage environment in real time and correlate material performance, and ensure the reliability of aerospace missions has become an urgent problem to be solved in this field. Summary of the Invention

[0004] To address the aforementioned issues, this application proposes a commercial aerospace intelligent warehouse management method, comprising the following steps: designing the system architecture; upon completion of the system architecture design, automatically identifying and storing incoming goods and materials; processing the outbound shipments of automatically identified and stored goods and materials; processing cross-warehouse transfers of automatically identified and stored goods and materials; and predicting the rate of material consumption after outbound and cross-warehouse transfer processing.

[0005] The commercial aerospace intelligent warehouse management method described above includes the following sub-steps in designing the system architecture: designing the perception layer; designing the network layer; designing the data layer; and designing the application layer.

[0006] The aforementioned commercial aerospace smart warehouse management method includes designing a perception layer by deploying IoT sensors in the warehouse, binding passive RFID tags to each type of material, and storing unique identifiers on the tags.

[0007] The commercial aerospace smart warehouse management method described above includes IoT sensors such as temperature and humidity sensors, vibration sensors, and gas concentration sensors.

[0008] In the commercial aerospace intelligent warehouse management method described above, the unique identifier includes the material model, batch, expiration date, and manufacturer information.

[0009] A commercial aerospace intelligent warehouse management system includes: an architecture design unit and a central management platform; the architecture design unit is used for system architecture design; the central management platform is used to automatically identify and store incoming materials after the system architecture design is completed; to process outbound materials automatically identified and stored; to process cross-warehouse transfers of automatically identified and stored materials; and to predict the material consumption rate after outbound and cross-warehouse transfer processing.

[0010] As described above, the commercial aerospace intelligent warehouse management system includes the following sub-steps in which the architecture design unit designs the system architecture: designing the perception layer; designing the network layer; designing the data layer; and designing the application layer.

[0011] As described above, the commercial aerospace intelligent warehouse management system includes an architecture design unit that designs the perception layer by deploying IoT sensors in the warehouse, binding passive RFID tags to each type of material, and storing unique identifiers on the tags.

[0012] In the aforementioned commercial aerospace intelligent warehouse management system, the IoT sensors in the perception layer design of the architecture design unit include temperature and humidity sensors, vibration sensors, and gas concentration sensors.

[0013] In the aforementioned commercial aerospace intelligent warehouse management system, the unique identifier in the perception layer design of the architecture design unit includes the material model, batch, expiration date, and manufacturer information.

[0014] This application has the following beneficial effects:

[0015] (1) This application replaces manual entry with RFID automatic identification and combines blockchain data storage to completely eliminate the risk of manual operation error and data tampering, greatly reducing the error rate of material information and significantly improving data accuracy.

[0016] (2) This application can write the data of the entire life cycle of materials into the blockchain in real time, support one-click query, greatly reduce the traceability time and greatly optimize the traceability efficiency.

[0017] (3) This application avoids the performance degradation of materials due to improper storage by real-time environmental monitoring, which greatly reduces the scrap rate of materials. At the same time, the intelligent early warning function effectively avoids the problems of inventory shortage or material expiration, and enhances the mission support capability.

[0018] (4) The cross-warehouse unified management platform in this application replaces manual communication, reduces coordination costs, significantly improves the efficiency of goods transfer, and ensures the efficient progress of aerospace assembly missions. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings.

[0020] Figure 1 This is a flowchart illustrating a commercial aerospace intelligent warehouse management method provided according to an embodiment of this application;

[0021] Figure 2 This is a schematic diagram of the internal structure of a commercial aerospace intelligent warehouse management system provided according to an embodiment of this application. Detailed Implementation

[0022] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0023] Example 1

[0024] like Figure 1 As shown, this embodiment provides a commercial aerospace intelligent warehouse management method, which specifically includes the following steps:

[0025] Step S1: Design the system architecture.

[0026] The system architecture includes a perception layer, a network layer, a data layer, and an application layer.

[0027] The design of the system architecture includes the following sub-steps:

[0028] Step S11: Design the perception layer.

[0029] Deploy IoT sensors (temperature, humidity, vibration, and gas concentration sensors) in the warehouse and bind passive RFID tags to each type of material. Each tag stores a unique identifier.

[0030] The label includes the material model, batch number, expiration date, and manufacturer information.

[0031] Preferably, the RFID tag is made of aerospace-grade materials (such as those resistant to temperatures ranging from -196°C to 150°C), and is resistant to high temperatures and electromagnetic interference.

[0032] The IoT sensors are explosion-proofed for special environments such as fuel depots and meet national military standards.

[0033] Step S12: Perform network layer design.

[0034] Real-time transmission of sensor data and RFID tag information is achieved through a 5G private network, ensuring that data is transmitted encrypted within the aerospace secure network.

[0035] Step S13: Design the data layer.

[0036] The data layer uses blockchain technology to build a distributed ledger to record data on the entire lifecycle of materials (such as entry time, environmental parameters, and usage records) to ensure immutability.

[0037] Furthermore, the data layer can synchronously interface with the aerospace mission management system to synchronize assembly plan requirements.

[0038] Step S14: Perform application layer design.

[0039] The application layer can develop a central management platform, which can perform automatic inbound and outbound operations, environmental monitoring, cross-warehouse systems, and intelligent early warning operations.

[0040] Step S2: After the system architecture design is completed, the automatic identification and warehousing of goods and materials will proceed.

[0041] The system uses RFID access control to identify material tags, automatically matches warehousing instructions, and updates inventory in real time.

[0042] As a specific embodiment of the present invention, when materials are delivered to the warehouse, the RFID reader automatically identifies the tag, extracts basic information and uploads it to the platform.

[0043] The administrator compares the manufacturer information in the identification information with the manufacturer's certificate information in the blockchain through the central management platform. If the comparison is consistent, the certificate of conformity of the materials is confirmed to be correct, and an warehousing instruction is issued.

[0044] The smart shelf automatically assigns storage locations according to instructions, the robotic arm completes the handling, and at the same time, sensors begin to record environmental data at that location.

[0045] The platform writes the entry time, location, and environmental parameters into the blockchain and updates the inventory data to the entire system simultaneously.

[0046] After the goods are received into the warehouse, real-time monitoring of environmental data is also included. Sensors upload environmental data in real time, and when the temperature and humidity exceed the threshold, the application layer automatically triggers an alarm and associates it with the inventory of materials in that area to assess the potential impact.

[0047] Preferably, the alarm notification is such as an audible and visual alert or an SMS notification to the administrator.

[0048] Step S3: Process the automatically identified and received goods for outbound shipment.

[0049] The receiving unit submits an electronic requisition application through the platform. After online approval, the central management platform automatically locks the corresponding material inventory. Upon receiving the outbound instruction, the administrator uses a robotic arm to retrieve the materials from the smart shelf, and an RFID reader at the outbound gate verifies the tag information a second time. The central management platform records information such as the receiving unit and the requisition time, writes it into the blockchain, and synchronously updates the inventory status to "requisitioned".

[0050] Step S4: Perform cross-warehouse transfer processing for automatically identified and received goods.

[0051] The central management platform displays the real-time inventory of each warehouse. When an assembly task requires the transfer of goods, the central management platform automatically calculates the optimal transfer route (such as transferring from the nearest warehouse) and generates an electronic transfer order, which is simultaneously sent to the management systems of both the sending and receiving warehouses. The sending warehouse completes the material release according to the instructions, and the trajectory is fed back in real time through positioning devices during transportation. After the receiving warehouse completes the warehousing, the entire system updates the inventory synchronously.

[0052] Step S5: After outbound processing and cross-warehouse transfer processing, predict the rate of material consumption.

[0053] The central management platform uses AI algorithms to analyze historical data (such as outbound or inter-warehouse transfer data) to predict the rate of material consumption. When inventory is below the safety threshold or about to expire, it automatically pushes a replenishment reminder.

[0054] All early warning information and processing results can be written into the blockchain to form a traceable risk handling record.

[0055] Preferably, the AI ​​algorithm can also combine environmental data to assess the performance degradation of materials, such as "a sensor's reliability decreases by 20% when stored in an environment with humidity > 40% for more than 7 days", thereby assisting in decision-making.

[0056] Furthermore, it also includes a full lifecycle traceability process. When traceability of materials is required, the unique identifier of the material's RFID tag or the relevant task number is entered through the central management platform. The platform retrieves the entire process data of the material's warehousing, storage environment, requisition, and transfer from the blockchain distributed ledger. A complete traceability report is generated within 10 seconds, supporting export and printing, enabling full verification and traceability.

[0057] Furthermore, this includes pre-locking in supplies. Specifically, supply data is linked to the progress of space missions. For example, if a satellite assembly mission requires specific components within 30 days, a central management platform can be developed to pre-lock inventory and provide early warnings of expiration risks.

[0058] Example 2

[0059] like Figure 2 As shown, this application provides a commercial aerospace intelligent warehouse management system. The system covers the functions of the sender and receiver and is specifically defined, including: an architecture design unit 210 and a central management platform 220.

[0060] The architecture design unit 210 is used for system architecture design, which includes a perception layer, a network layer, a data layer, and an application layer.

[0061] Design the perception layer: Deploy IoT sensors (temperature, humidity, vibration, and gas concentration sensors) in the warehouse, and bind passive RFID tags to each type of material. Each tag stores a unique identifier.

[0062] The label includes the material model, batch number, expiration date, and manufacturer information.

[0063] Preferably, the RFID tag is made of aerospace-grade materials (such as those resistant to temperatures ranging from -196°C to 150°C), and is resistant to high temperatures and electromagnetic interference.

[0064] The IoT sensors are explosion-proofed for special environments such as fuel depots and meet national military standards.

[0065] Network layer design: Real-time transmission of sensor data and RFID tag information is achieved through a 5G private network, ensuring encrypted transmission of data within the aerospace secure network.

[0066] Data layer design: The data layer uses blockchain technology to build a distributed ledger to record data on the entire life cycle of materials (such as entry time, environmental parameters, and usage records) to ensure immutability.

[0067] Furthermore, the data layer can synchronously interface with the aerospace mission management system to synchronize assembly plan requirements.

[0068] Application layer design: The application layer can develop a central management platform 220, which can perform automatic inbound and outbound operations, environmental monitoring, cross-warehouse systems, and intelligent early warning operations.

[0069] The central management platform 220 specifically includes an inbound module, an outbound module, a cross-warehouse transfer processing module, and a material consumption rate prediction module.

[0070] The warehousing module is used for the automatic identification and warehousing of goods and materials.

[0071] The system uses RFID access control to identify material tags, automatically matches warehousing instructions, and updates inventory in real time.

[0072] As a specific embodiment of the present invention, when materials are delivered to the warehouse, the RFID reader automatically identifies the tag, extracts basic information and uploads it to the platform.

[0073] The administrator compares the manufacturer information in the identification information with the manufacturer's certificate information in the blockchain through the central management platform. If the comparison is consistent, the certificate of conformity of the materials is confirmed to be correct, and an warehousing instruction is issued.

[0074] The smart shelf automatically assigns storage locations according to instructions, the robotic arm completes the handling, and at the same time, sensors begin to record environmental data at that location.

[0075] The platform writes the entry time, location, and environmental parameters into the blockchain and updates the inventory data to the entire system simultaneously.

[0076] After the goods are received into the warehouse, real-time monitoring of environmental data is also included. Sensors upload environmental data in real time, and when the temperature and humidity exceed the threshold, the application layer automatically triggers an alarm and associates it with the inventory of materials in that area to assess the potential impact.

[0077] Preferably, the alarm notification is such as an audible and visual alert or an SMS notification to the administrator.

[0078] The outbound module is used to process the outbound shipments of goods that have been automatically identified and entered into the warehouse.

[0079] The receiving unit submits an electronic requisition application through the platform. After online approval, the central management platform automatically locks the corresponding material inventory. Upon receiving the outbound instruction, the administrator uses a robotic arm to retrieve the materials from the smart shelf, and an RFID reader at the outbound gate verifies the tag information a second time. The central management platform records information such as the receiving unit and the requisition time, writes it into the blockchain, and synchronously updates the inventory status to "requisitioned".

[0080] The cross-warehouse transfer processing module is used to process cross-warehouse transfers of automatically identified incoming goods and materials.

[0081] The central management platform displays the real-time inventory of each warehouse. When an assembly task requires the transfer of goods, the central management platform automatically calculates the optimal transfer route (such as transferring from the nearest warehouse) and generates an electronic transfer order, which is simultaneously sent to the management systems of both the sending and receiving warehouses. The sending warehouse completes the material release according to the instructions, and the trajectory is fed back in real time through positioning devices during transportation. After the receiving warehouse completes the warehousing, the entire system updates the inventory synchronously.

[0082] The material consumption rate prediction module is used to predict the material consumption rate after outbound processing and inter-warehouse transfer processing.

[0083] The central management platform uses AI algorithms to analyze historical data (such as outbound or inter-warehouse transfer data) to predict the rate of material consumption. When inventory is below the safety threshold or about to expire, it automatically pushes a replenishment reminder.

[0084] All early warning information and processing results can be written into the blockchain to form a traceable risk handling record.

[0085] Preferably, the AI ​​algorithm can also combine environmental data to assess the performance degradation of materials, such as "a sensor's reliability decreases by 20% when stored in an environment with humidity > 40% for more than 7 days", thereby assisting in decision-making.

[0086] Furthermore, the central management platform 220 also includes a traceability module for conducting full lifecycle traceability processes.

[0087] When traceability of materials is required, the unique identifier of the material's RFID tag or the relevant task number is entered into the central management platform. The platform retrieves the entire process data of the material's warehousing, storage environment, requisition, and transfer from the blockchain distributed ledger. A complete traceability report is generated within 10 seconds, supporting export and printing, enabling full traceability and verification.

[0088] Furthermore, the central management platform 220 also includes a locking module for pre-locking materials. Specifically, it links material data with the progress of space missions. For example, if a satellite assembly mission requires specific components to be used within 30 days, the central management platform can lock in inventory in advance and provide early warnings of expiration risks.

[0089] This application also provides a computer storage medium storing computer instructions, which, when invoked, are used to execute the commercial aerospace intelligent warehouse management method.

[0090] The embodiments disclosed in this invention provide a computer-readable storage medium storing computer program instructions, which, when executed on a computer, cause the computer to perform the aforementioned commercial aerospace intelligent warehouse management method.

[0091] This invention provides a processor for processing the above-described commercial aerospace intelligent warehouse management method.

[0092] In this embodiment of the invention, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0093] The various methods, steps, and logic diagrams disclosed in the embodiments of this invention can be implemented or executed. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The processor reads information from the storage medium and, in conjunction with its hardware, completes the steps of the above methods.

[0094] The storage medium can be memory, such as volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.

[0095] Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate Synchronous DRAM (DDRSDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).

[0096] This application has the following beneficial effects:

[0097] (1) This application replaces manual entry with RFID automatic identification and combines blockchain data storage to completely eliminate the risk of manual operation error and data tampering, greatly reducing the error rate of material information and significantly improving data accuracy.

[0098] (2) This application can write the data of the entire life cycle of materials into the blockchain in real time, support one-click query, greatly reduce the traceability time and greatly optimize the traceability efficiency.

[0099] (3) This application avoids the performance degradation of materials due to improper storage by real-time environmental monitoring, which greatly reduces the scrap rate of materials. At the same time, the intelligent early warning function effectively avoids the problems of inventory shortage or material expiration, and enhances the mission support capability.

[0100] (4) The cross-warehouse unified management platform in this application replaces manual communication, reduces coordination costs, significantly improves the efficiency of goods transfer, and ensures the efficient progress of aerospace assembly missions.

[0101] Although the examples referenced in this application are described for illustrative purposes only and not for limiting the scope of this application, changes, additions and / or deletions to the implementation may be made without departing from the scope of this application.

[0102] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A commercial aerospace intelligent warehouse management method, characterized in that, Includes the following steps: Design the system architecture; With the system architecture design completed, the system proceeds to the automatic identification and warehousing of goods and materials. Process outbound shipments of goods that have been automatically identified and entered into the warehouse; For automatically identified and received goods, cross-warehouse transfer processing is performed. After outbound processing and inter-warehouse transfer processing, predict the rate of material consumption.

2. The commercial aerospace intelligent warehouse management method as described in claim 1, characterized in that, The design of the system architecture includes the following sub-steps: Design the perception layer; Perform network layer design; Perform data layer design; Perform application layer design.

3. The commercial aerospace intelligent warehouse management method as described in claim 2, characterized in that, The design of the perception layer includes deploying IoT sensors in the warehouse, binding passive RFID tags to each type of material, and storing unique identifiers on the tags.

4. The commercial aerospace intelligent warehouse management method as described in claim 3, characterized in that, Internet of Things (IoT) sensors include temperature and humidity sensors, vibration sensors, and gas concentration sensors.

5. The commercial aerospace intelligent warehouse management method as described in claim 4, characterized in that, Unique identifiers include material model, batch number, expiration date, and manufacturer information.

6. A commercial aerospace intelligent warehouse management system, characterized in that, include: Architecture design unit and central management platform; The architecture design unit is used for system architecture design. The central management platform is used to complete the system architecture design and automatically identify and store incoming goods and materials; process outbound goods and materials automatically identified and stored; process cross-warehouse transfers of incoming goods and materials automatically identified and stored; and predict the consumption rate of materials after outbound and cross-warehouse transfer processing.

7. The commercial aerospace intelligent warehouse management system as described in claim 6, characterized in that, The system architecture design unit performs the following sub-steps: Design the perception layer; Perform network layer design; Perform data layer design; Perform application layer design.

8. The commercial aerospace intelligent warehouse management system as described in claim 7, characterized in that, The architecture design unit's perception layer design includes deploying IoT sensors in the warehouse, binding passive RFID tags to each type of material, and storing unique identifiers on the tags.

9. The commercial aerospace intelligent warehouse management system as described in claim 8, characterized in that, In the perception layer design of the architecture design unit, IoT sensors include temperature and humidity sensors, vibration sensors, and gas concentration sensors.

10. The commercial aerospace intelligent warehouse management system as described in claim 9, characterized in that, In the perception layer design of the architecture design unit, the unique identifier includes the material model, batch, expiration date, and manufacturer information.

Images