Data management method and device, electronic equipment, readable storage medium and chip

Abstract

Embodiments of the present application provide a data management method, device, electronic equipment, readable storage medium and chip, wherein the data management method comprises: acquiring procurement electronic data related to an entity item; generating a corresponding unique identifier for the entity item and establishing an association between the unique identifier and the procurement electronic data; constructing a procurement data set corresponding to the entity item based on the unique identifier; determining a radio frequency identification tag corresponding to the entity item according to the procurement data set; acquiring read-write parameters of the radio frequency identification tag; generating data update parameters for controlling writing or updating of the radio frequency identification tag based on the read-write parameters; and updating data content of at least one procurement item according to the data update parameters to obtain an updated procurement data set. Through the scheme of the present application, real-time visualization and accurate control of the position and state of the entity item are realized, and the synchronization rate of inventory data management is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of data information technology, and more specifically, to a data management method, apparatus, electronic device, readable storage medium, and chip. Background Technology

[0002] With the rapid expansion of data centers and enterprise information technology, the number and types of physical items such as servers, storage, and network equipment have increased dramatically, posing significant challenges to traditional physical item management models.

[0003] Common applications of radio frequency identification (RFID) technology are mostly limited to isolated aspects of inventory management, lacking continuous and automatic tracking and recording of the entire process of physical items from shelving, maintenance, circulation to decommissioning. This makes it difficult to synchronize the physical status and location information of physical items with financial system data in real time, and fails to form effective closed-loop management and traceability throughout the entire life cycle, thus restricting the level of intelligent operation and maintenance and decision support capabilities. Summary of the Invention

[0004] The purpose of this invention is to provide a data management method, device, electronic device, readable storage medium, and chip that can solve the problem of difficulty in real-time synchronization of the physical status and location information of physical items with financial system data.

[0005] In view of this, an embodiment of the first aspect of the present invention provides a data management method.

[0006] A second aspect of the present invention provides a data management device.

[0007] An embodiment of the third aspect of the present invention provides an electronic device.

[0008] An embodiment of the fourth aspect of the present invention provides a readable storage medium.

[0009] An embodiment of the fifth aspect of the present invention provides a chip.

[0010] To achieve the above objectives, an embodiment of the first aspect of the present invention provides a data management method, comprising: acquiring electronic procurement data related to physical items, the electronic procurement data including data content of at least one procurement item; generating a corresponding unique identifier for the physical item and associating the unique identifier with the electronic procurement data; constructing a procurement dataset corresponding to the physical item based on the unique identifier; determining a radio frequency identification (RFID) tag corresponding to the physical item according to the procurement dataset; acquiring read / write parameters of the RFID tag, the read / write parameters including at least one of radio frequency communication parameters and storage parameters; generating data update parameters for controlling the writing or updating of the RFID tag based on the read / write parameters; and updating the data content of at least one procurement item according to the data update parameters to obtain an updated procurement dataset.

[0011] This invention provides a data management method that creates a unique digital identity for physical items by acquiring their electronic procurement data, along with a unique identifier and procurement dataset. This digital identity is then assigned to the physical entity, generating and binding RFID tags. During the subsequent circulation of the physical items, physical events and parameters are captured by automatically sensing the read and write operations of the RFID tags, thereby intelligently driving the real-time updates of relevant data entries in their digital archives. Through the automatic and precise association and linkage between physical objects and data, dynamic and automated tracking and management of assets throughout their entire lifecycle, from warehousing to decommissioning, is achieved.

[0012] In some technical solutions, optionally, the RFID tag corresponding to the physical item is determined based on the procurement dataset, including: obtaining an inbound instruction for the physical item; extracting at least one target procurement item corresponding to the physical item from the procurement dataset based on the inbound instruction; generating an RFID tag uniquely corresponding to the procurement dataset based on the target procurement item and a unique identifier; and establishing a mapping relationship between the RFID tag and the procurement dataset.

[0013] In this solution, during the physical goods warehousing process, the system extracts the target procurement item describing the physical item from the procurement dataset in response to the warehousing instruction. Based on this information and a unique identifier, a unique electronic code is generated and written into the physical RFID tag, ultimately establishing a stable mapping relationship between the tag and the digital file. This process assigns a digital identity established by the procurement electronic data to the physical entity, laying the technological foundation for subsequent real-time tracking of physical goods throughout their entire lifecycle based on automatic sensing.

[0014] In some technical solutions, optionally, data update parameters for controlling the writing or updating of RFID tags are generated based on read and write parameters, including: acquiring at least one first read and write operation on the RFID tag during the use of the physical item; parsing read and write parameters from the first read and write operation, the read and write parameters including operation location and operation type; and determining the data update parameters of the physical item according to the operation location and operation type.

[0015] In this solution, by capturing and parsing the read and write operations of RFID tags, the two physical event parameters of operation location and operation type are automatically mapped and determined as standard status and location update data update parameters of physical objects in the digital system.

[0016] In some technical solutions, optionally, determining the data update parameters for physical items based on the operation location and operation type includes: determining the target state of the physical item based on the operation type; determining the target location information corresponding to the target state based on the operation location; and determining the target state and target location information as data update parameters; wherein the data update parameters are used to update at least one procurement item.

[0017] In this solution, predefined business rules are used to map the operation type and operation location contained in a single scan event to the target state that the physical item should be updated and the target location information with business semantics, respectively, and package them into structured data update parameters to drive the automatic and accurate update of the corresponding items in the procurement dataset.

[0018] In some technical solutions, the data management method may optionally include: generating a corresponding status change record each time the data content of at least one procurement item is updated according to the data update parameters; associating each status change record with the procurement dataset and the RFID tag corresponding to the read / write operation that triggered the update; wherein all associated and stored status change records form a status change sequence of the physical item in chronological order.

[0019] In this solution, each time the digital archive of a physical item is updated, a status change record containing complete contextual information (time, operation, and values ​​before and after the change) is automatically generated. The status change record is then linked and stored in a three-element association with the purchase data of the physical item and its RFID tag. Finally, all records are sorted by time to form a complete status change sequence.

[0020] In some technical solutions, the data management method may optionally include: obtaining a query instruction for the procurement dataset; extracting a state change sequence associated with the procurement dataset based on the query instruction; and generating traceability information of the physical item from the procurement state to the current state based on the state change sequence.

[0021] In this solution, in response to user query requests, the system can automatically integrate and generate a clear lifecycle report showing the physical item's trajectory from the source of procurement to its current latest status, based on a pre-built, time-series status change sequence that is strongly correlated with the procurement dataset.

[0022] A second aspect of the present invention provides a data management device, comprising: a data acquisition module for acquiring electronic procurement data related to physical goods, the electronic procurement data including data content of at least one procurement item; an identification determination module for generating a unique identifier for each physical goods and associating the unique identifier with the electronic procurement data; a data conversion module for constructing a procurement dataset corresponding to the physical goods based on the unique identifier; a tag generation module for determining RFID tags corresponding to the physical goods according to the procurement dataset; a tag reading and writing module for acquiring reading and writing parameters of the RFID tags, the reading and writing parameters including at least one of radio frequency communication parameters and storage parameters; a data update module for generating data update parameters for controlling the writing or updating of RFID tags based on the reading and writing parameters; and a data management module for updating the data content of at least one procurement item according to the data update parameters to obtain an updated procurement dataset.

[0023] An embodiment of the third aspect of this application provides an electronic device, including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the data management method as described in the first aspect.

[0024] An embodiment of the fourth aspect of this application provides a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the data management method as described in the first aspect.

[0025] An embodiment of the fifth aspect of this application provides a chip including a processor and a communication interface, the communication interface and the processor being coupled together, the processor being used to run a program or instructions to implement the steps of the data management method as described in the first aspect.

[0026] Additional aspects and advantages of the technical solutions of the present invention will become apparent in the following description or may be learned by practice of the invention. Attached Figure Description

[0027] Figure 1 One of the flowcharts of the data management method according to this application is shown;

[0028] Figure 2 A second flowchart illustrating the data management method according to this application is shown;

[0029] Figure 3 A third flowchart illustrating the data management method according to this application is shown;

[0030] Figure 4 A fourth flowchart illustrating the data management method according to this application is shown;

[0031] Figure 5 The fifth flowchart illustrating the data management method according to this application is shown;

[0032] Figure 6 A flowchart of the data management method according to this application is shown in sixth form;

[0033] Figure 7 A schematic block diagram of the data management device according to this application is shown;

[0034] Figure 8 A schematic block diagram of the structure of an electronic device according to this application is shown;

[0035] Figure 9 A schematic block diagram of the data management system according to this application is shown.

[0036] Wherein, 900: data management device; 902: data acquisition module; 904: identification determination module; 906: data conversion module; 908: tag generation module; 910: tag reading and writing module; 912: data update module; 914: data management module; 1000: electronic device; 1109: memory; 1110: processor. Detailed Implementation

[0037] To better understand the above-described objectives, features, and advantages of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0038] Many specific details are set forth in the following description in order to provide a full understanding of this application. However, embodiments of the invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of this application is not limited to the specific embodiments disclosed below.

[0039] As data centers continue to expand, the number of information technology (IT) assets, such as servers, storage devices, and network equipment, becomes enormous, increasing the difficulty of management. Related asset management suffers from the following shortcomings:

[0040] The procurement and asset systems are disconnected: the procurement system and the asset management platform operate independently, which means that asset cards are often manually entered after the equipment is put into storage, resulting in low efficiency and high error rate.

[0041] Inconsistent records: Due to the lack of automated integration, key information such as suppliers, models, and prices in the procurement process cannot be seamlessly transferred to asset management, resulting in data inconsistencies.

[0042] Insufficient lifecycle traceability: Traditional radio frequency identification (RFID) solutions are mostly limited to inbound and outbound inventory and lack closed-loop management of the entire process from procurement to decommissioning.

[0043] Therefore, an innovative system and methodology is needed that closely integrates the procurement process with the entire asset lifecycle management.

[0044] The data management method, apparatus, electronic device, readable storage medium, and chip provided in this application will be described in detail below with reference to specific embodiments and application scenarios.

[0045] This embodiment provides a data management method, such as Figure 1 As shown, data management methods include:

[0046] Step S100: Obtain electronic procurement data related to physical items, the electronic procurement data including the data content of at least one procurement item;

[0047] Step S102: Generate a unique identifier for the physical item and link the unique identifier with the electronic procurement data;

[0048] Step S104: Construct a procurement dataset corresponding to the physical items based on unique identifiers;

[0049] Step S106: Determine the RFID tags corresponding to the physical items based on the procurement dataset;

[0050] Step S108: Obtain the read / write parameters of the RFID tag, which include at least one of the RFID communication parameters and storage parameters;

[0051] Step S110: Generate data update parameters for controlling the writing or updating of RFID tags based on the read / write parameters;

[0052] Step S112: Update the data content of at least one procurement item according to the data update parameters to obtain the updated procurement dataset.

[0053] This invention provides a data management method that creates a unique digital identity for physical items by acquiring their electronic procurement data, along with a unique identifier and procurement dataset. This digital identity is then assigned to the physical entity, generating and binding RFID tags. During the subsequent circulation of the physical items, physical events and parameters are captured by automatically sensing the read and write operations of the RFID tags, thereby intelligently driving the real-time updates of relevant data entries in their digital archives. Through the automatic and precise association and linkage between physical objects and data, dynamic and automated tracking and management of assets throughout their entire lifecycle, from warehousing to decommissioning, is achieved.

[0054] The data management method provided by this invention creates and maintains a digital twin that accurately maps the physical state and business attributes of each physical item, and realizes real-time linkage between the physical item and the data through radio frequency identification technology.

[0055] Specifically, data management methods begin with acquiring electronic procurement data related to physical goods. Physical goods refer to assets with a physical form, such as servers, network switches, or storage devices.

[0056] Electronic procurement data refers to structured electronic records that describe the basic attributes of physical goods and are generated during the procurement process in enterprise resource planning or procurement management information systems.

[0057] Electronic procurement data is typically retrieved automatically from upstream procurement information systems via system interfaces, and its content constitutes at least one procurement item. Each procurement item is a key-value pair data unit describing a specific attribute of an asset, and these procurement items together form the initial file of the physical item in the digital world.

[0058] After obtaining the electronic procurement data, the system will generate a unique identifier for the physical item.

[0059] A unique identifier is a string or code that is absolutely unique across the entire system. Its generation rules can be based on various factors such as purchase order number, serial number, and timestamp, generated through a specific algorithm. After generation, the system will perform an operation to associate the unique identifier with the electronic purchase data. That is, the unique identifier will be used as the primary key in the database and bound to all purchase items for storage, forming a one-to-one mapping relationship.

[0060] The system constructs a procurement dataset corresponding to physical items based on unique identifiers. The procurement dataset is a complete digital archive of physical items formed by integrating unique identifiers into the electronic procurement data. It is not merely a collection of procurement items, but is designed as the core object for all data operations (such as status updates and location tracking) throughout the asset's entire lifecycle. It can be understood that the electronic procurement data is the raw material, while the procurement dataset is the structured, identified, and activated asset master data record that can be directly used for business management.

[0061] When physical items are physically received into the warehouse, the process enters the binding phase. The system will determine the corresponding RFID tag for the physical item based on the procurement dataset.

[0062] First, the system extracts key information (such as unique identifiers and asset models) from the procurement dataset to determine the encoding rules and data content that need to be written into the RFID chip.

[0063] Then, using an RFID writing device, this data is written into a physical RFID tag, and the tag is securely attached to the corresponding physical item.

[0064] Thus, an immutable link is established between the physical asset and its digital profile (procurement dataset) through this RFID tag.

[0065] In the daily operation and circulation of physical goods, the system continuously acquires the read and write parameters of RFID tags.

[0066] Read / write parameters refer to the set of underlying hardware data obtained by an RFID reader after scanning a tag.

[0067] Read and write parameters are mainly divided into two categories: one is radio frequency communication parameters, such as read signal strength, communication frequency, and tag response time. These parameters can indirectly reflect the reading distance and environmental conditions. The other is storage parameters, which are the data directly read from the storage area of ​​the tag chip. The most critical of these is the code representing the unique identifier of the asset. Each valid scan event generates a set of real-time read and write parameters.

[0068] The system generates data update parameters based on read / write parameters to control the writing or updating of RFID tags.

[0069] The system will parse the acquired raw read and write parameters. For example, by parsing the storage parameters, it can obtain the unique identifier of the asset and thus locate the specific procurement dataset; by parsing the radio frequency communication parameters and combining them with the physical location information of the reader, it can determine the business type of this operation (such as "outbound scan", "inventory scan" or "shift scan").

[0070] Based on these parsing results, the system generates a structured set of instructions with clear business intent, namely, data update parameters. The parameters explicitly indicate which field in the procurement dataset needs to be updated (e.g., "current status" or "current location"), and what value should be updated to (e.g., update the status from "in stock" to "outbound").

[0071] Finally, based on the data update parameters, the data content of at least one procurement item is updated to obtain the updated procurement dataset.

[0072] The new values ​​carried in the data update parameters are used to overwrite the old data content of the specified procurement items in the procurement dataset. For example, after an outbound scan is parsed, the system will change the "Current Status" entry in the procurement dataset from "In Stock" to "Outbound" based on the generated data update parameters, and may update the "Current Location" entry to the location code of the outbound point. After the update is completed, an updated procurement dataset is obtained, which accurately reflects the latest status of the physical goods. Through this series of automated steps, any physical operation on physical goods can drive the synchronous update of its digital archives in real time and accurately, realizing precise management of assets that match the records and physical assets, and transparent traceability throughout the entire lifecycle.

[0073] It is important to emphasize that whenever a physical item passes through a key node where an RFID reader is deployed, that is, when the physical item needs to be used, the RFID reader scans the radio frequency identification tag and updates the procurement dataset entered in the system. The content of the radio frequency identification tag remains unchanged. By modifying the read and write parameters each time they are obtained, the location information and usage status of the physical item are updated in real time.

[0074] For example, physical items include, but are not limited to, hardware devices such as equipment servers and cloud processors.

[0075] Understandably, assigning an RFID tag to the procurement dataset based on at least one procurement item and establishing a mapping relationship upon warehousing means assigning a unique RFID tag to each physical item. By subsequently acquiring the read / write parameters of the RFID tags and updating the procurement dataset according to these parameters, every physical movement of the physical item can be automatically detected and fed back to its digital file in real time. This solves the pain points of traditional ledgers being untimely and inconsistent with actual inventory, achieving real-time visibility and precise control over the location and status of physical items, and significantly improving the efficiency and synchronization rate of inventory data management.

[0076] In some embodiments, the acquisition of procurement process information may be triggered automatically through a data interface with an upstream enterprise resource planning (ERP) or procurement system, or it may be triggered in response to a user's manual import operation on the physical goods management interface. For example, the system may automatically call the interface at midnight every day to synchronize all approved purchase order information from the previous day.

[0077] In some embodiments, optionally, when determining the unique identifier corresponding to a physical item, the identifier generation rules are predefined, which can be generated based on a combination of purchase order number, line item number, and arrival batch number to ensure its uniqueness across the entire system.

[0078] In some embodiments, optionally, determining the RFID tag corresponding to the procurement dataset based on at least one procurement item further includes a step of performing a readback verification after writing the physical tag. If the readback information does not match the predetermined written information, the tag is automatically marked as abnormal, and an alarm is triggered to prompt a re-operation, ensuring that the binding relationship is accurate.

[0079] In some embodiments, optionally, before determining the data update parameters of the physical item through the read / write parameters, it also includes verifying whether the read / write operation is performed by an authorized read / write device or within its authorized physical location range, in order to prevent unauthorized devices or out-of-bounds locations from falsifying the physical item circulation records.

[0080] In some embodiments, optionally, when updating the procurement dataset according to the data update parameters, if concurrent update requests for the same procurement dataset are detected, the target procurement dataset is locked through a distributed lock mechanism to ensure that only one update transaction can be committed at the same time, thereby avoiding data overwriting and state conflicts.

[0081] In some embodiments, optionally, such as Figure 2 As shown, step S106: Determine the RFID tag corresponding to the physical item based on the procurement dataset, including:

[0082] Step S1060: Obtain the inbound instruction for the physical item;

[0083] Step S1062: According to the warehousing instruction, extract at least one target procurement item corresponding to the physical item from the procurement dataset;

[0084] Step S1064: Based on the target procurement item and unique identifier, generate an RFID tag that uniquely corresponds to the procurement dataset;

[0085] Step S1066: Establish the mapping relationship between RFID tags and the procurement dataset.

[0086] In this embodiment, during the physical goods warehousing process, the system responds to warehousing instructions, extracts the target procurement item describing the physical goods from the procurement dataset, and generates a unique electronic code based on this information and the unique identifier of the physical goods, writing it into a physical RFID tag. This ultimately establishes a stable mapping relationship between the tag and the digital file. Assigning the digital identity established by the procurement electronic data to the physical entity lays the technical foundation for subsequent real-time tracking of physical goods throughout their entire lifecycle based on automatic sensing.

[0087] Specifically, it begins with receiving an inbound instruction for physical goods. This instruction is typically triggered automatically by the warehouse management system after the physical goods arrive and are inspected, or manually initiated by warehouse personnel through the user interface. The instruction must include at least the purchase order number, item list, and batch information to uniquely identify this inbound operation within the system.

[0088] Upon receiving an inbound instruction, the system extracts at least one target procurement item corresponding to the physical item from the procurement dataset. Based on key information in the inbound instruction, such as the purchase order number and item model, a matching query is performed in the procurement dataset to precisely locate the specific record describing the physical item, i.e., the target procurement item. These items typically include key attributes such as supplier name, equipment model, serial number, purchase price, and contract delivery date, constituting the authoritative digital identity of the physical item.

[0089] Based on the unique identifiers of the target procurement items and physical goods, an RFID tag is generated that uniquely corresponds to the procurement dataset. First, the unique identifier of the physical goods corresponding to the physical goods in the procurement dataset is read. The unique identifier of the physical goods is determined when the procurement dataset is generated. Then, combined with the core information in the target procurement items, such as the model and serial number, a unique electronic code that can be written to the RFID chip is generated according to predefined encoding rules.

[0090] Subsequently, the electronic code is written into a blank physical RFID tag via a connected digital tag writing device.

[0091] Thus, this physical tag carries a unique electronic identity corresponding to the procurement dataset of the physical item.

[0092] Finally, the operator securely attaches the encoded physical RFID tag to the corresponding physical item.

[0093] For example, RFID tags are affixed to the surface of a physical object or suspended on a physical object.

[0094] The process of establishing a mapping relationship between RFID tags and procurement datasets is typically recorded in a dedicated physical item tag mapping table. Its core fields include the electronic code (EPC code) of the RFID tag and a unique identifier for the procurement dataset. The establishment of this mapping relationship signifies that the physical item has officially entered the system's automated tracking system. Every subsequent physical movement of the item (such as outbound shipment, transfer, or inventory) can be automatically detected by the system and synchronized to the procurement dataset in real time by reading its RFID tag.

[0095] Understandably, this transforms the traditional warehousing process, which relies on manual verification of documents and recording of information, into a standardized process driven by system commands that automatically extracts data and generates labels. This significantly reduces manual steps, avoids errors or omissions in recording physical item information (such as model number and serial number) that may occur due to manual entry, and achieves efficient and accurate one-click warehousing.

[0096] Furthermore, at the very beginning of the physical goods entering the warehouse, a mandatory mapping relationship is established between the RFID tag code and the unique identifier in the procurement data. This strong binding of one item, one code ensures that throughout the entire lifecycle, scanning the tag can uniquely and accurately locate all the digital information of the physical goods in the system, laying an unshakable foundation for achieving precise management and full-process traceability.

[0097] In some embodiments, optionally, obtaining an inbound instruction for physical items can be triggered through the graphical interface of the warehouse management system, or automatically triggered by an interface integrated with the upstream arrival notification system during arrival registration.

[0098] In some embodiments, optionally, before extracting the target procurement item from the procurement dataset according to the warehousing instruction, it is also possible to verify whether the physical item has been pre-bound with other RFID tags, or whether the corresponding procurement dataset status is pending warehousing, in order to avoid duplicate binding or status conflict.

[0099] In some embodiments, optionally, when generating RFID tags based on the unique identifier of the target procurement item and the physical item, the generation logic can be configured according to the type of physical item. For example, for server-type physical items, the encoding includes rack space pre-allocation information; for network devices, the encoding includes a pre-configured Internet Protocol Address (IP) address range identifier.

[0100] In some embodiments, optionally, when the same warehousing instruction involves multiple physical items of the same model, the system supports batch processing: based on a procurement dataset instance and a series of unique identification number segments of consecutive physical items, a series of radio frequency identification tags are automatically generated and sequentially encoded in batches to improve the efficiency of batch physical item warehousing.

[0101] In some embodiments, optionally, such as Figure 3 As shown, step S110: Generate data update parameters for controlling the writing or updating of RFID tags based on read / write parameters, including:

[0102] Step S1102: During the use of the physical item, acquire at least one first read / write operation on the RFID tag;

[0103] Step S1104: Parse the read / write parameters from the first read / write operation. The read / write parameters include the operation position and the operation type.

[0104] Step S1106: Determine the data update parameters for the physical item based on the operation location and operation type.

[0105] In this embodiment, by capturing and parsing the read and write operations of the RFID tag, the two physical event parameters of operation location and operation type are automatically mapped and determined as the standard status and location update data update parameters of the physical item in the digital system.

[0106] Understandably, by using predefined mapping rules, the high consistency and reliability of status judgments are ensured, avoiding record confusion caused by differences in understanding among different personnel, and providing a solid and reliable data transformation foundation for accurate tracking and automated management of physical items throughout their entire lifecycle.

[0107] Specifically, during the use of physical goods, the physical goods are not in static storage, but are in dynamic circulation stages such as requisition, allocation, maintenance, inventory or return.

[0108] The system acquires at least one first read / write operation on the radio frequency identification tag by using fixed or handheld RFID readers deployed at key nodes such as warehouse entrances, server racks in computer rooms, and maintenance workbenches.

[0109] It is important to emphasize that the first read / write operation here does not refer to the first time in sequence, but rather to an independent event that can be recognized by the system.

[0110] Whenever an RFID tag attached to a physical object enters the electromagnetic field range of the reader, the reader can automatically and non-contactly capture the tag's unique code and generate an operation record containing basic information about this reading event.

[0111] Next, the system needs to modify the read and write parameters from the relatively raw first read and write operation records to match the operation type of the physical item. This step is the initial purification of information from the underlying hardware signals.

[0112] The modification process includes: identifying the location that triggered the read / write operation, i.e., which reader captured the signal. The installation location of the reader defines the physical area where the physical item is currently located, such as row 3, cabinet 5 in area A of the data center; and determining the operation type. For example, if the scan is triggered at the warehouse entrance based on a requisition and outbound instruction, the type is outbound; if the scan is triggered at the computer room entrance, it can be determined as put-away based on the context; if the scan is triggered when the item is sent for repair, the type is repair.

[0113] Finally, the data update parameters for the physical items are determined based on the operation location and operation type. The system has pre-defined business rule mapping logic.

[0114] Therefore, every physical movement of a physical item can trigger an update of the procurement dataset in real time and with high precision.

[0115] In some embodiments, optionally, acquiring at least one first read / write operation on an RFID tag can be triggered by a warehouse manager actively scanning with a handheld reader, or automatically triggered by a fixed reader deployed in a passageway or doorway when a physical item passes by.

[0116] In some embodiments, optionally, before parsing the read / write parameters from the first read / write operation, it is also included to verify whether the read / write operation was initiated by a read / write device that has been authorized and registered by the system, so as to prevent illegal devices from forging physical item circulation records.

[0117] In some embodiments, the operation type can be preset into multiple categories according to the specific business scenario in which the read and write operation occurs, such as purchase receipt, issuance, departmental transfer, periodic inventory or maintenance return, and each operation type corresponds to a set of predefined state transition rules.

[0118] In some embodiments, optionally, to avoid interference caused by a large number of repetitive or temporary read / write operation records on the same physical item in a short period of time, the system may set an anti-shake mechanism: within a preset time window, only the first valid operation of the same read / write device on the same tag is counted and used as the basis for determining data update parameters.

[0119] In some embodiments, optionally, when determining the data update parameters of a physical item based on the operation location and operation type, if the operation is determined to be illegal according to preset rules, for example, attempting to directly put a physical item from the in-stock state to an unauthorized area, the data update parameters are not determined, and an abnormal alarm log is generated instead.

[0120] In some embodiments, optionally, such as Figure 4 As shown, step S1106: Based on the operation location and operation type, determine the data update parameters for the physical item, including:

[0121] Step S11060: Determine the target state of the physical item based on the operation type;

[0122] Step S11062: Determine the target location information corresponding to the target state based on the operation position;

[0123] Step S11064: Determine the target status and target location information as data update parameters;

[0124] The data update parameter is used to update at least one procurement item.

[0125] In this embodiment, through predefined business rules, the operation type and operation location contained in an RFID scanning event are mapped to the target state that the physical item should be updated and the target location information with business semantics, respectively, and packaged into structured data update parameters to drive the automatic and accurate update of the corresponding items in the procurement dataset.

[0126] Its beneficial effect is that, through this standardized conversion mechanism, every movement of a physical object can be interpreted in real time and unambiguously as a standardized update instruction that the system can execute. This fundamentally eliminates problems such as misjudgment of status and confusion in location description that may be caused by manual recording, and achieves a high degree of automation and absolute consistency in changes to the status and location information of physical objects, providing a reliable data conversion guarantee for accurate tracking of physical objects throughout their entire life cycle.

[0127] Specifically, the target status of physical items is determined based on the operation type. The operation type is a specific tag parsed from a single read / write operation of an RFID tag, used to characterize the category to which this event belongs in the business process, such as "purchased goods received and put into storage", "requisition for release", "inter-departmental transfer of physical items", "faulty equipment sent for repair and put out of storage", or "scrapped physical items removed".

[0128] The system has a pre-built and maintained knowledge base of mapping rules between operation types and target states.

[0129] For example, when the system identifies the operation type of the current event as "requisition for outbound", it automatically deduces the next stage that the physical item should be in in terms of business after this operation, namely the "outbound" state, based on the rule knowledge base. This state is then determined as the target state for this operation.

[0130] The target state is a clearly defined state enumeration value that conforms to business logic and management standards.

[0131] For example, the target status includes, but is not limited to, receiving, shelving, borrowing, repairing, and decommissioning, and the target status indicates the new position of the physical item in the business process.

[0132] Next, the target location information corresponding to the target state is determined based on the operation location. The operation location refers to the physical location in the system where the RFID reader that triggered this read / write event is deployed, and which has a clear definition and encoding. For example, "Gate No. 3, Warehouse No. 1 in the Central Warehouse", "Entrance to the Computer Room in Area A, 5th Floor, Phase II Building of the Data Center", or "Receiving Window of the Maintenance Center of the Information Technology Department". The physical coordinates are then associated with the target state to interpret and assign specific business semantics to the location information.

[0133] For example, when the target status is determined to be "shelved", the operation location "Central Warehouse Warehouse 1, Door 3" will be recorded as the "shelving point location" where the physical item leaves the warehouse; while when the target status is determined to be "borrowed", the operation location "Entrance of the server room in Area A, 5th Floor, Phase II Building of Data Center" needs to be further associated or parsed with the subsequent shelving operation process to be the precise "physical storage location" where the physical item is finally deployed, such as "rack number 5A-12".

[0134] Therefore, target location information is a geographic or logical location identifier that includes a description of the business scenario.

[0135] Then, the target state and target location information are determined as data update parameters. The target state and target location information, generated after the above rule mapping and semantic interpretation, and possessing direct operability, is encapsulated into a structured and complete set of update instructions; this set is the data update parameter. The data update parameter is a standard format input used internally by the system to drive data changes.

[0136] The data update parameter is used to update at least one procurement item. The procurement dataset corresponding to each physical item consists of multiple procurement items that describe comprehensive information about the physical item.

[0137] Multiple procurement items include not only static basic information items such as supplier name, equipment model, and purchase price, but also items specifically used to track the dynamics of physical items, such as the current status of the physical items and their current storage location.

[0138] After obtaining the data update parameters, the system will use the target status value in the parameter package to directly update the content of the current entity item status entry in the procurement dataset.

[0139] At the same time, the target location information value is used to update the content of the currently stored location entry.

[0140] Through this mechanism, physical items can automatically, in real time and accurately drive the refresh of core dynamic entries in their digital world during each critical transfer event through rule-based state and location parsing logic, fundamentally ensuring continuous and reliable synchronization and consistency between physical items and information system data.

[0141] In some embodiments, the determination of the operation type can be based not only on the preset event code reported by the reader, but also automatically inferred by the system based on the business context before and after the current read / write operation (such as the type of the previous operation and the current status of the physical item), or manually entered by the operator.

[0142] In some embodiments, optionally, before determining the target state based on the operation type, the method further includes verifying whether the operation type is a valid operation for the currently recorded state of the physical item. For example, verifying whether a requisition and release operation is allowed for a physical item whose state is retired.

[0143] In some embodiments, optionally, when multiple operation events are generated almost simultaneously for the same physical item in a high-concurrency scenario, the system will sort and resolve these events according to timestamps and business priorities before determining the final data update parameters, so as to ensure the logical correctness of the state change sequence.

[0144] In some embodiments, optionally, such as Figure 5 As shown, data management methods also include:

[0145] Step S114: Each time the data content of at least one procurement item is updated according to the data update parameters, a corresponding status change record is generated;

[0146] Step S116: Associate and store each status change record with the procurement dataset and the RFID tag corresponding to the read / write operation that triggered this update;

[0147] Among them, all associated storage status change records form a status change sequence of physical items in chronological order.

[0148] In this embodiment, each time the digital archive of a physical item is updated, a status change record containing complete contextual information (time, operation, and values ​​before and after the change) is automatically generated. The status change record is then linked and stored in a ternary association with the purchase data of the physical item and its radio frequency identification tag. Finally, all records are sorted by time to form a complete status change sequence.

[0149] Each time a procurement item is updated based on the data update parameters, a corresponding status change record is generated. The data update parameters are a set of instructions derived by the system from the read and write events of RFID tags, used to drive changes to the digital files of physical items.

[0150] The core elements of data update parameters typically include the target status (e.g., changing from "in stock" to "outbound") and target location information. Purchase entries are the various data fields that make up the digital archive of physical items (i.e., the purchase dataset), containing dynamic entries such as "current status" and "current location."

[0151] When the system performs an update operation and modifies the values ​​of these procurement items using data update parameters, a logging action will be triggered immediately.

[0152] The system automatically captures key metadata for this change, including the precise timestamp of the change (e.g., 2026-01-06 10:30:05), the specific operation type that triggered the change (e.g., requisition / issue), the status / location value before the change, the status / location value after the change, and possibly associated operator or system identifiers. This metadata collectively constitutes the corresponding status change record. The status change record is essentially an immutable data snapshot of this physical item's status transition event.

[0153] Then, each status change record is associated with the procurement dataset and the RFID tag corresponding to the read / write operation that triggered the update and stored accordingly.

[0154] In database design, newly generated status change records will be explicitly linked to the following through mechanisms such as foreign keys: Procurement dataset: By recording the unique physical item identifier of the physical item, it is ensured that this change record belongs to which specific physical item digital file; Radio frequency identification tag: By recording the unique tag code read in the read / write operation that triggered this update, the scan event is directly linked to a change record in the digital system to achieve associated storage.

[0155] All associated storage status change records refer to all historical records generated and stored in the above manner for the same procurement dataset.

[0156] The system will arrange these records in strict chronological order from earliest to latest based on the timestamp field. This complete collection of historical records, sorted by time, constitutes the sequence of state changes for the physical item.

[0157] The status change sequence clearly shows the complete lifecycle of a physical item from warehousing, deployment, circulation, maintenance to final decommissioning. Any authorized user can query this sequence to accurately know the status and location of the physical item at any historical point in time, achieving true full lifecycle visualization and traceability.

[0158] In some embodiments, a corresponding status change record may be generated, which may be automatically triggered by the system after each successful update of the procurement item, or the administrator may manually trigger the supplementary entry operation through the audit log interface.

[0159] In some embodiments, optionally, when generating a status change record, the recorded content includes not only the target status and target location information in the data update parameters, but may also optionally include the identity of the initiator of this update operation, the application service instance identifier that performed the update, and the system environment snapshot information at the time of the update operation.

[0160] In some embodiments, the status change sequence can be viewed not only in chronological order but also by dimensions such as operation type and location change, for filtering, grouping, and statistical analysis to generate derivative analysis views such as heatmaps of physical item movement and status dwell time reports.

[0161] In some embodiments, optionally, such as Figure 6 As shown, data management methods also include:

[0162] Step S118: Obtain query instructions for the procurement dataset;

[0163] Step S120: Extract the status change sequence associated with the procurement dataset according to the query instruction;

[0164] Step S122: Based on the state change sequence, generate traceability information for the physical item from the procurement state to the current state.

[0165] In this embodiment, in response to a user's query request, the system can automatically integrate and generate a report that clearly shows the entire lifecycle trajectory of a physical item from its source of procurement to its current latest status, based on a pre-built, time-series state change sequence that is strongly correlated with the procurement dataset.

[0166] A query instruction is a structured data request. It is not a simple search box keyword, but a set of instructions that contain specific filtering and search conditions, received by the system interface or application interface.

[0167] The query command may be triggered by the user on the query interface of the physical item management system, for example, by entering the physical item number, selecting the time range, specifying the status type and then clicking the interface button; or it may be automatically triggered by a preset scheduled report task or an integration event with other systems (such as the financial audit system).

[0168] The query command will at least include a unique identifier for the target physical item (such as the physical item number or RFID code) to accurately locate the specific procurement dataset that needs to be queried.

[0169] Next, based on the query command, the status change sequence associated with the procurement dataset is extracted. The status change sequence is a structured data set that records all historical operations of physical items, arranged in chronological order.

[0170] The system parses the conditions in the query command and, based on the unique identifier of the procurement dataset, extracts all timestamped status change records related to the physical items from the database. These records together constitute a complete, time-series sequence of status changes.

[0171] The status change sequence ensures that every movement and status change of a physical item is traceable from the moment it is procured and put into storage. The extraction process ensures data integrity, preventing the loss of any link due to large data volume or long time. The status change sequence data is analyzed, integrated, and visualized to generate an easy-to-understand traceability report. This traceability report clearly displays the complete lifecycle of the physical item.

[0172] In summary, by triggering institutionalized query commands, extracting precise status change sequences, and generating intelligent traceability information, the underlying, scattered, and static operation records are integrated into a full lifecycle report of physical items with clear business semantics and temporal relationships. This ultimately achieves a leap in data management from simple record queries to in-depth business insights, providing strong data support for decision-making.

[0173] In one specific embodiment, optionally, such as Figure 9 As shown, the data management system includes: a procurement module, an asset management module, an RFID identification module, a lifecycle management module, and a data bus.

[0174] After the purchase requisition is approved, it is automatically pushed to the asset management module via the data bus to generate asset cards.

[0175] Upon entry into the warehouse, the RFID identification module writes a unique identifier to the asset and binds it to the asset card.

[0176] The lifecycle management module records changes in asset status (warehousing, shelving, borrowing, repair, decommissioning).

[0177] The methodology includes:

[0178] Step 1: Generate a purchase requisition form in the procurement cloud and complete the approval process.

[0179] Step 2: The system automatically generates asset cards, which include key procurement information (supplier, model, quantity, unit price, and delivery time).

[0180] Step 3: When assets are put into storage, RFID tags are bound, and RFID data is uniquely mapped to asset cards.

[0181] Step 4: The system updates the asset's location information and usage status in real time based on RFID reading and writing data.

[0182] Step 5: When an asset is decommissioned, the system traces the source of procurement to achieve a complete lifecycle closed loop.

[0183] like Figure 7As shown in the illustration, this application embodiment also provides a data management device 900, which includes: a data acquisition module 902, used to acquire procurement electronic data related to physical items, the procurement electronic data including data content of at least one procurement item; an identification determination module 904, used to generate a corresponding unique identifier for the physical item and establish an association between the unique identifier and the procurement electronic data; a data conversion module 906, used to construct a procurement dataset corresponding to the physical item based on the unique identifier; a tag generation module 908, used to determine the radio frequency identification tag corresponding to the physical item according to the procurement dataset; a tag reading and writing module 910, used to acquire reading and writing parameters of the radio frequency identification tag, the reading and writing parameters including at least one of radio frequency communication parameters and storage parameters; a data update module 912, used to generate data update parameters for controlling the writing or updating of the radio frequency identification tag based on the reading and writing parameters; and a data management module 914, used to update the data content of at least one procurement item according to the data update parameters to obtain an updated procurement dataset.

[0184] like Figure 8 As shown, this application embodiment also provides an electronic device 1000, including a processor 1110, a memory 1109, and a program or instructions stored in the memory 1109 and executable on the processor 1110. When the program or instructions are executed by the processor 1110, they implement the various processes of the above-described data management method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0185] Optionally, the processor 1110 is used to acquire electronic procurement data related to physical items, the electronic procurement data including data content of at least one procurement item;

[0186] Optionally, the processor 1110 is also used to generate a corresponding unique identifier for physical items and to associate the unique identifier with the electronic procurement data;

[0187] Optionally, the processor 1110 is also configured to construct a procurement dataset corresponding to the physical item based on the unique identifier; and determine the radio frequency identification tag corresponding to the physical item based on the procurement dataset;

[0188] Optionally, the processor 1110 is also configured to determine the radio frequency identification tag corresponding to the physical item based on the procurement dataset;

[0189] Optionally, the processor 1110 is also used to acquire the read and write parameters of the radio frequency identification tag, the read and write parameters including at least one of radio frequency communication parameters and storage parameters;

[0190] Optionally, the processor 1110 is also configured to generate data update parameters for controlling the writing or updating of RFID tags based on the read / write parameters;

[0191] Optionally, the processor 1110 is also configured to update the data content of at least one procurement item according to data update parameters to obtain an updated procurement dataset.

[0192] The memory 1109 can be used to store software programs and various data. The memory 1109 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 1109 may include volatile memory or non-volatile memory, or both. The non-volatile memory may 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), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 1109 in this embodiment includes, but is not limited to, these and any other suitable types of memory.

[0193] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described data management method embodiments and achieve the same technical effects. To avoid repetition, these will not be described again here. Furthermore, the readable storage medium improves the data storage capacity and data processing speed of the data management method in this application.

[0194] A computer-readable storage medium can be a tangible device that holds and stores instructions for use by an instruction execution device. A computer-readable storage medium can be an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing, but is not limited thereto. A non-exhaustive list of more specific examples of computer-readable storage media includes: portable computer floppy disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable optical disc read-only memory (CD-ROM), digital universal disk (DVD), memory cards, floppy disks, encoding mechanical devices (e.g., punched cards or grooves with raised structures for recording instructions), and any suitable combination of the foregoing. The computer-readable storage medium used herein should not be construed as the transmission of signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media, or electrical signals transmitted through wires.

[0195] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0196] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described data management method embodiments and achieve the same technical effects. To avoid repetition, it will not be described again here. Furthermore, the chip improves the data processing speed corresponding to the data management method in this application.

[0197] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0198] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0199] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0200] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to specific features, structures, materials, or characteristics described in connection with an embodiment or example that are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0201] The above are merely preferred embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A data management method, characterized in that, include: Acquire electronic procurement data related to physical goods, wherein the electronic procurement data includes data content of at least one procurement item; Generate a unique identifier for the physical item and associate the unique identifier with the electronic procurement data; A procurement dataset corresponding to the physical item is constructed based on the unique identifier; Based on the procurement dataset, determine the radio frequency identification tag corresponding to the physical item; The read / write parameters of the RFID tag are obtained, and the read / write parameters include at least one of radio frequency communication parameters and storage parameters; Based on the read / write parameters, data update parameters are generated to control the writing or updating of the RFID tag; The data content of at least one of the procurement items is updated according to the data update parameters to obtain an updated procurement dataset.

2. The data management method according to claim 1, characterized in that, The step of determining the radio frequency identification tag corresponding to the physical item based on the procurement dataset includes: Obtain an inbound instruction for the physical item; According to the warehousing instruction, at least one target procurement item corresponding to the physical item is extracted from the procurement dataset; Based on the target procurement item and the unique identifier, generate an RFID tag that uniquely corresponds to the procurement dataset; Establish a mapping relationship between the RFID tags and the procurement dataset.

3. The data management method according to claim 1, characterized in that, The step of generating data update parameters based on the read / write parameters for controlling the writing or updating of the RFID tag includes: During the use of the physical item, at least one first read / write operation is performed on the radio frequency identification tag; Read and write parameters are parsed from the first read and write operation, and the read and write parameters include the operation position and the operation type; The data update parameters for the physical item are determined based on the operation location and the operation type.

4. The data management method according to claim 3, characterized in that, The step of determining the data update parameters of the physical item based on the operation location and the operation type includes: Determine the target state of the physical item based on the operation type; Determine the target location information corresponding to the target state based on the operation location; The target state and the target location information are determined as the data update parameters; The data update parameters are used to update at least one of the procurement items.

5. The data management method according to claim 4, characterized in that, Also includes: Each time the data content of at least one of the procurement items is updated according to the data update parameters, a corresponding status change record is generated; Each status change record is associated with the procurement dataset and the RFID tag corresponding to the read / write operation that triggered the update; Among them, all associated stored state change records form the state change sequence of the physical item in chronological order.

6. The data management method according to claim 5, characterized in that, Also includes: Obtain query instructions for the aforementioned procurement dataset; Based on the query instruction, extract the status change sequence associated with the procurement dataset; Based on the state change sequence, traceability information of the physical item from the procurement state to the current state is generated.

7. A data management device, characterized in that, include: The data acquisition module is used to acquire electronic procurement data related to physical goods, wherein the electronic procurement data includes the data content of at least one procurement item; The identifier determination module is used to generate a corresponding unique identifier for the physical item and associate the unique identifier with the procurement electronic data. The data conversion module is used to construct a procurement dataset corresponding to the physical item based on the unique identifier; The tag generation module is used to determine the radio frequency identification tag corresponding to the physical item based on the procurement dataset; The tag reading and writing module is used to obtain the reading and writing parameters of the radio frequency identification tag, wherein the reading and writing parameters include at least one of radio frequency communication parameters and storage parameters; The data update module is used to generate data update parameters for controlling the writing or updating of the RFID tag based on the read / write parameters; The data management module is used to update the data content of at least one of the procurement items according to the data update parameters to obtain an updated procurement dataset.

8. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the data management method as described in any one of claims 1 to 6.

9. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the data management method as described in any one of claims 1 to 6.

10. A chip, characterized in that, The chip includes a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the steps of the data management method as described in any one of claims 1 to 6.

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