Demand traceability display method and device, computer equipment and storage medium

Abstract

The invention discloses a demand traceability display method and device, computer equipment and a storage medium, and relates to the technical field of commodity traceability, and the method comprises the steps: obtaining a demand document, generating an iterative relation graph through a content matching technology, and writing a demand change record into a block chain; according to a commitment plan of a project, dividing a demand document into different stage nodes, and obtaining a supply chain flow path by analyzing a demand change record in a block chain; displaying the iteration relation graph and the supply chain flow path in a three-dimensional visualization mode by using a VR technology, and generating a coding image; stage nodes and execution conditions in the supply chain are automatically loaded through the VR technology, and the image recognition technology is used for scanning the coded image to obtain demanded detailed information; according to the method, the change record of the demand document is written into the block chain, and the VR technology is combined, so that three-dimensional visual display of the iterative relationship of the demand document and the flow path of the supply chain is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of commodity traceability, and in particular to a display method, device, computer equipment and storage medium for demand traceability. Background Art

[0002] With the continuous development of supply chain management and demand traceability technology, enterprises have put forward higher requirements for the management and tracking of demand documents. Existing demand management systems usually rely on text records and two-dimensional table display methods. Although they can realize the storage and version control of demand documents, they have limitations in the display of iterative relationships of demand and the flow of demand information in the supply chain.

[0003] First, the iterative relationship of the demand document is usually displayed in a static way, which cannot dynamically reflect the evolution of demand and its flow path in the supply chain. In addition, the traditional system lacks intuitive three-dimensional visualization tools, making it difficult for users to quickly obtain the execution status of demand at each stage through the system interface. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] The present invention provides a display method, device, computer equipment and storage medium for demand traceability, which solves the problem that the iterative relationship of demand documents is usually displayed in a static manner, and cannot dynamically reflect the evolution of demand and its flow path in the supply chain. In addition, the traditional system lacks intuitive three-dimensional visualization display tools, and it is difficult for users to quickly obtain the execution status of demand at each stage through the system interface.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for displaying demand traceability, which includes obtaining a demand document, generating an iterative relationship diagram of the demand document through a content matching technology, and writing a demand change record into a blockchain;

[0008] According to the project commitment plan, the demand documents are divided into different stage nodes, and the supply chain flow path is obtained by analyzing the demand change records in the blockchain;

[0009] Using VR technology, the iteration relationship diagram and supply chain flow path are displayed in a three-dimensional visualization, and a coded image is generated based on the supply chain flow path;

[0010] Use VR technology to automatically load the stage nodes and execution status in the supply chain, and use image recognition technology to scan the coded image to obtain detailed information on the demand;

[0011] Introducing the demand search function, the intelligent search engine automatically searches and matches demand documents;

[0012] The requirement document includes the title, keywords, upload time, uploader and document version of the requirement.

[0013] As a preferred solution of the demand traceability display method of the present invention, wherein: an iterative relationship diagram of the demand document is generated by content matching technology, and the demand change record is written into the blockchain, including the following steps:

[0014] Use natural language processing algorithms to perform word segmentation, part-of-speech tagging, and syntactic analysis on each requirement document to extract core information and metadata from the requirement document;

[0015] Based on the core information and metadata of the requirement documents, the similarity of the core information between the requirement documents is calculated to match and compare the contents and identify different versions of the same requirement.

[0016] By analyzing the content changes of the requirement document and the version information in the metadata, an iterative relationship diagram of the requirements is constructed;

[0017] While generating the iteration relationship diagram, each version of the requirement document will be written into the blockchain. Through the distributed ledger technology of the blockchain, the version iteration information of the requirement document will be securely recorded to form a record of requirement changes.

[0018] As a preferred solution of the demand tracing display method of the present invention, the demand document is divided into different phase nodes according to the project commitment plan, including the following steps:

[0019] The commitment plan defines the timeline and phase information of the project;

[0020] Read the schedule in the commitment plan, extract the start and end time as the stage nodes, and define the name of each stage based on the stage information;

[0021] According to the matching of the upload time of each version of the requirement document with the stage node, different versions of the requirement document are assigned to the corresponding stage nodes.

[0022] As a preferred solution of the demand traceability display method of the present invention, the following steps are included: by analyzing the demand change records in the blockchain and combining the stage nodes, the supply chain flow path is obtained.

[0023] Extract requirement change records from blockchain;

[0024] Query the change blocks of demand in the supply chain through blockchain, and read the supply chain information corresponding to the demand document. Each block contains the supply location and supply action.

[0025] Based on the stage nodes, identify the upstream supply nodes;

[0026] Starting from the upstream node, query the supply chain information of the demand document one by one and extract the supply actions in the blockchain;

[0027] Trace down layer by layer until there are no downstream nodes;

[0028] A supply chain flow path is generated based on the integration of all supply actions extracted from upstream nodes to downstream nodes.

[0029] As a preferred solution of the demand tracing display method of the present invention, VR technology is used to display the iteration relationship diagram and the supply chain flow path in a three-dimensional visualization manner, and a coded image is generated according to the supply chain flow path, including the following steps:

[0030] Extract the version number of each requirement version and the iteration relationship of each version from the iteration relationship diagram;

[0031] Extract node information in the supply chain and association information between supply chain nodes from the supply chain flow path;

[0032] Format the data of iteration relationship diagram and supply chain flow path;

[0033] The iteration relationship graph is represented by a graph structure, where the nodes are requirement versions and the edges are the iteration relationships of the versions.

[0034] The supply chain flow path is represented by a directed graph, where the nodes are the node information in the supply chain and the edges are the association information between the supply chain nodes.

[0035] Based on the defined iterative relationship graph and the nodes and edges of the supply chain flow path, three-dimensional visualization technology is used to transform and generate a three-dimensional model of the iterative relationship graph and a three-dimensional model of the supply chain flow path;

[0036] According to the supply chain information in the supply chain flow path, the path is encoded into lines of different shapes and colors to generate a coded image.

[0037] As a preferred solution of the demand tracing display method of the present invention, the VR technology is used to automatically load the stage nodes and execution status in the supply chain, and the image recognition technology is used to scan the coded image to obtain detailed information of the demand, including the following steps:

[0038] Use VR headsets to enter the three-dimensional model visualization interface of the iteration relationship diagram and supply chain flow path, load and view the stage nodes and execution status of the entire supply chain;

[0039] The coded image is embedded in the three-dimensional model of the stage node. The coded image is scanned through the pointing function of the VR controller, the information in the image is automatically identified and decoded, and the detailed information of the requirement document is displayed in the virtual interface.

[0040] As a preferred solution of the demand tracing display method of the present invention, a demand search function is introduced, and the intelligent search engine automatically searches and matches demand documents, including the following steps:

[0041] Add a demand search function page in the VR interface. In the virtual interface, enter the demand search function page through the virtual button;

[0042] In the demand search function page, enter keywords through the virtual keyboard, and the natural language processing technology will analyze the input keywords and search for demand documents related to the keywords;

[0043] Sort the searched related requirement documents by version number and display them as a result list in the virtual interface;

[0044] Associate the result list with the iteration relationship diagram and the supply chain flow path to view the execution status of the requirements in the supply chain and the change records of all requirement versions.

[0045] In a second aspect, the present invention provides a display device for demand traceability, including a demand document processing module, which is used to obtain a demand document, generate an iterative relationship diagram of the demand document through content matching technology, and write a demand change record into a blockchain;

[0046] The phase node division module is used to divide the demand documents into different phase nodes according to the project commitment plan, and obtain the supply chain flow path by analyzing the demand change records in the blockchain;

[0047] A VR visualization module is used to display the iteration relationship diagram and the supply chain flow path in a three-dimensional visualization manner using VR technology, and to generate a coded image based on the supply chain flow path;

[0048] The coded image recognition module is used to automatically load the stage nodes and execution status in the supply chain through VR technology, and use image recognition technology to scan the coded image to obtain detailed information on the demand;

[0049] The intelligent search module is used to introduce the demand search function, and the intelligent search engine automatically searches and matches the demand documents.

[0050] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the method for displaying demand tracing as described in the first aspect of the present invention is implemented.

[0051] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the method for displaying demand tracing as described in the first aspect of the present invention.

[0052] The beneficial effects of the present invention are as follows: by writing the change records of the requirements document into the blockchain and combining it with VR technology, a three-dimensional visualization of the iterative relationship of the requirements document and the flow path of the supply chain is achieved. First, with the help of the distributed ledger technology of the blockchain, the version change information of the requirements document can be recorded securely and transparently, avoiding the risk of information tampering or loss in traditional systems. Secondly, using VR technology, users can intuitively view the iterative relationship and supply chain flow path of the requirements document in three-dimensional space. The three-dimensional visualization of the iterative relationship diagram not only shows the version evolution process of the requirements document, but also dynamically reflects the importance and execution status of the requirements changes through different colors and shapes, which helps users quickly understand the execution progress of the requirements and their position in the supply chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0054] Figure 1 This is a flow chart of the method for displaying demand tracing in Example 1.

[0055] Figure 2 This is a judgment diagram for obtaining different versions of the same requirement in Example 1. DETAILED DESCRIPTION

[0056] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0057] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0058] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0059] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a method for displaying demand tracing, comprising the following steps:

[0060] S1. Obtain the requirement document, generate an iterative relationship diagram of the requirement document through content matching technology, and write the requirement change record into the blockchain, including the following steps:

[0061] The requirement document includes the title, keywords, upload time, uploader and document version of the requirement.

[0062] Use natural language processing algorithms to perform word segmentation, part-of-speech tagging, and syntactic analysis on each requirement document to extract core information and metadata from the requirement document;

[0063] Specifically, word segmentation refers to the use of natural language tools to break down sentences in a document into independent words or phrases, and part-of-speech tagging refers to marking the grammatical role of each word in a sentence (such as noun, verb, adjective, etc.); syntactic analysis refers to the use of dependency syntactic analysis methods based on the word segmentation results and part-of-speech tagging results to build a dependency tree in a sentence and display the grammatical dependency relationship between words; the results of part-of-speech tagging and syntactic analysis are used to extract the core information in the document, such as key entities (nouns, proper nouns) and actions (verbs) in the requirements, and to extract metadata (such as version number, upload time, keywords, etc.) from the requirements document;

[0064] Based on the core information and metadata of the requirement documents, the similarity of the core information between the requirement documents is calculated to match and compare the contents and identify different versions of the same requirement.

[0065] Specifically, by calculating the similarity of the core information between the requirement documents, it is expressed as:

[0066]

[0067] Among them, S(C i ,C j ) represents the core information of the two requirement documents C i and C j The similarity between |C i ∩C j | represents the intersection of the core information of two requirement documents, |Ci ∪C j |Represents the union of the core information of two requirement documents;

[0068] The similarity of the requirement files of the same version is set as the similarity threshold, and the version number in the metadata is used to determine the version order;

[0069] If the similarity of the core information is greater than the similarity threshold and the version number sequence is correct, they are considered to be different versions of the same requirement;

[0070] If the similarity of the core information is less than or equal to the similarity threshold or the version number sequence is wrong, it is determined that they are not different versions of the same requirement and a re-identification operation is performed;

[0071] By analyzing the content changes of the requirement document and the version information in the metadata, an iterative relationship diagram of the requirements is constructed;

[0072] Specifically, to construct an iterative relationship graph of requirements, first define the matched requirement documents as nodes in the graph, and the order between versions as directed edges. Use the defined nodes and edges to input into NetworkX (network graph tool library) to generate an iterative relationship graph.

[0073] While generating the iteration relationship diagram, each version of the requirement document will be written into the blockchain. Through the distributed ledger technology of the blockchain, the version iteration information of the requirement document will be securely recorded to form a record of requirement changes.

[0074] It should be noted that the demand document is segmented, POS tagged and syntactically analyzed by natural language processing (NLP) technology to extract the core information and metadata of the demand. The purpose of this step is to automatically analyze the content of the demand document to ensure that the key content extracted from the document has high accuracy and consistency. By calculating the similarity between documents, the system can identify different versions of the same demand and generate an iterative relationship diagram of the demand. This process realizes the visual management of the demand version, allowing users to clearly track the evolution of the demand. The operation of writing the demand change record to the blockchain further ensures the immutability and transparency of the demand document version and enhances the security and traceability of the data. Finally, the beneficial effect of this step is that by combining natural language processing and blockchain technology, not only the intelligent management of the demand document is realized, but also a reliable version tracing mechanism is provided, which greatly improves the efficiency and security of demand management.

[0075] S2. According to the project commitment plan, the demand documents are divided into different stage nodes. By analyzing the demand change records in the blockchain, the supply chain flow path is obtained, including the following steps:

[0076] The commitment plan defines the project schedule and phase information, including requirements analysis, design, development, testing, and delivery;

[0077] Read the schedule in the commitment plan, extract the start and end time as the stage nodes, and define the name of each stage based on the stage information;

[0078] For example: the demand analysis is from January 1, 2024 to February 1, 2024;

[0079] The design phase is from February 2, 2024 to March 15, 2024;

[0080] The development phase is from March 16, 2024 to June 1, 2024;

[0081] The testing phase is from June 2, 2024 to July 15, 2024;

[0082] The delivery phase is from July 16, 2024 to August 1, 2024;

[0083] According to the matching of the upload time of each version of the requirement document with the stage node, different versions of the requirement document are assigned to the corresponding stage nodes.

[0084] Extract demand change records from the blockchain, which include version changes of requirements and the execution process in the supply chain;

[0085] Query the change blocks of demand in the supply chain through blockchain, and read the supply chain information corresponding to the demand document. Each block contains the supply location (such as factory, warehouse, transportation node) and supply action (such as production, transportation, delivery, etc.);

[0086] Based on the stage nodes, identify the upstream supply nodes (usually raw material suppliers or initial production plants);

[0087] Starting from the upstream node, query the supply chain information of the demand document one by one, for example: raw material supplier → production plant → assembly center → logistics company → customer delivery point, and extract the supply actions in the blockchain (such as production, transportation, inventory update, etc.);

[0088] Trace down layer by layer until there are no downstream nodes;

[0089] A supply chain flow path is generated based on the integration of all supply actions extracted from upstream nodes to downstream nodes.

[0090] It should be noted that according to the project commitment plan, the demand documents are divided into different project phase nodes, and the supply chain flow path is generated by analyzing the demand change records in the blockchain. The role of this step is to achieve a close integration of the demand documents and the project progress by matching the version upload time of each demand document with the project phase, ensuring the orderly management of demand at all stages. At the same time, by extracting the change records of demand in the supply chain through the blockchain, the system can track the execution of demand in the supply chain, identify the upstream supply nodes and track them layer by layer to the downstream nodes, and finally generate a complete supply chain flow path. The beneficial effect of this process is that users can not only grasp the execution status of the demand documents in the supply chain in real time, but also accurately locate the bottlenecks or delay nodes in the supply chain, thereby optimizing the management process of the supply chain, improving the efficiency of demand transmission and the overall controllability of the supply chain.

[0091] It should be noted that the execution is achieved through a combination of blockchain technology, supply chain node status monitoring and VR visualization display.

[0092] S3. Using VR technology, the iteration relationship diagram and the supply chain flow path are displayed in a three-dimensional visualization manner, and a coded image is generated according to the supply chain flow path, including the following steps:

[0093] Extract the version number of each requirement version and the iteration relationship of each version from the iteration relationship diagram;

[0094] Extract node information in the supply chain (such as raw material suppliers, production plants, assembly centers, logistics centers, customer delivery points, etc.) and association information between supply chain nodes (such as material flow paths, time points, logistics information, etc.) from the supply chain flow path;

[0095] Format the data of iteration relationship diagram and supply chain flow path;

[0096] The iteration relationship graph is represented by a graph structure, where the nodes are requirement versions and the edges are the iteration relationships of the versions.

[0097] The supply chain flow path is represented by a directed graph, where the nodes are the node information in the supply chain and the edges are the association information between the supply chain nodes.

[0098] Based on the defined iterative relationship graph and the nodes and edges of the supply chain flow path, three-dimensional visualization technology is used to transform and generate a three-dimensional model of the iterative relationship graph and a three-dimensional model of the supply chain flow path;

[0099] Specifically, a three-dimensional model of the iteration relationship diagram is constructed, and geometric models such as cubes and spheres are used to represent each requirement version. The size or color of the node can be dynamically adjusted according to the importance or impact of the requirement change. The iterative relationship between the requirement versions will be connected by lines in three-dimensional space. The lines can use different colors or thicknesses to represent the relationship strength or time interval between different versions. A timeline is set in three-dimensional space to show the time process of the iteration. The nodes of the requirement version can be dynamically moved along the timeline to show the evolution of the requirements; a three-dimensional model of the supply chain flow path is constructed, and each entity in the supply chain (such as factories, warehouses, logistics centers, etc.) will be presented as a node in three-dimensional space. Three-dimensional lines with flow effects are used to show the material transmission from one supply chain node to the next node. The transportation mode of the material (such as land transportation, air transportation, and sea transportation) can be displayed through different colors or animation effects. Each node in the supply chain can dynamically change color or shape according to its current status (in production, in transportation, and completed), so that users can quickly understand the status of the supply chain through color coding. The speed of material flow can reflect the transportation time. The flow speed of particles on the path can be accelerated or slowed down to represent the efficiency of transportation;

[0100] According to the supply chain information in the supply chain flow path, the path is encoded into lines of different shapes and colors so that the efficiency of the supply chain can be reflected in the image and the coded image is automatically generated.

[0101] It should be noted that the use of VR technology to present the iterative relationship diagram of demand and the flow path of the supply chain in a three-dimensional visualization has improved the interactive experience and intuitiveness of demand management and supply chain monitoring. Through the three-dimensional visualization display, users can not only dynamically view the iterative relationship of the demand version, but also observe the material flow path in the supply chain in real time, and understand the status and logistics efficiency of each node. The dynamic changes of different colors and shapes can quickly convey the operating status of each node, improving the user's understanding and perception of the demand and supply chain status. The generation of coded images provides an intuitive identification for each supply chain stage, and users can quickly obtain detailed demand information and its change records by scanning the coded images with VR. The beneficial effect of this step is that the combination of three-dimensional visualization and coded images greatly enhances the intuitiveness and interactivity of information display, enabling users to quickly and efficiently obtain the required information in a virtual environment, and improving the user experience of demand tracking and supply chain management.

[0102] S4, automatically load the stage nodes and execution status in the supply chain through VR technology, and use image recognition technology to scan the coded image to obtain detailed information of the demand, including the following steps:

[0103] Use VR headsets to enter the three-dimensional model visualization interface of the iteration relationship diagram and supply chain flow path, load and view the stage nodes and execution status of the entire supply chain;

[0104] Specifically, the status of each node in the three-dimensional model (such as suppliers, production plants, warehouses, logistics centers, delivery points, etc.) is dynamically displayed through color or shape changes. Green means that the node is in normal status and is executed as planned. Yellow means that there are slight delays or potential problems at the node. Red means that there are serious problems or delays at the node. The status of each node can be quickly understood through color changes. The name and status icon (such as in transit, in production, completed, etc.) will be displayed above each node. The status will be updated according to real-time data. Users can select a supply chain node by clicking or gesture to view the detailed information of the node. The flow path of materials or products in the supply chain is displayed through dynamic three-dimensional lines or particle effects. The lines connect the nodes to show how the materials flow from one stage to the next. Different colors or animation effects represent different modes of transportation. For example, blue lines represent sea transportation, yellow lines represent air transportation, and green lines represent land transportation. The flow direction of materials in the supply chain and the current transportation status can be clearly seen. The speed of particles on the flow path can reflect the efficiency of logistics (such as fast movement indicates efficient transportation, slow or stagnant means delay);

[0105] The coded image is embedded in the three-dimensional model of the stage node. The coded image is scanned through the pointing function of the VR controller, and the information in the image is automatically identified and decoded. The detailed information of the requirement document is displayed in the virtual interface, including the version number of the requirement document, version change record, document upload time, current status of the node and detailed description of the requirement.

[0106] It should be noted that the nodes and execution status of each stage in the supply chain can be viewed through the VR interface, and detailed information on the demand can be quickly obtained by scanning the coded image on the node. This step helps users quickly identify potential delays or problem nodes in the supply chain by displaying the three-dimensional model of the supply chain node in a virtual reality environment and visually reflecting the status of each node through dynamic changes in color or shape. Users can also obtain detailed information on the demand document by scanning the coded image, including version number, change record, document upload time, etc., so as to achieve rapid retrieval and status tracking of demand information. The beneficial effect of this step is that through the combination of VR technology and coded images, the supply chain status can be efficiently monitored in a virtual environment, and key information on demand can be obtained in an intuitive way, which improves the real-time nature of supply chain management and the accuracy of demand tracking.

[0107] S5. Introduce the demand search function, and use the intelligent search engine to automatically search and match the demand documents, including the following steps:

[0108] Add a demand search function page in the VR interface. In the virtual interface, enter the demand search function page through the virtual button;

[0109] In the demand search function page, enter keywords through the virtual keyboard, and the natural language processing technology will analyze the input keywords and search for demand documents related to the keywords;

[0110] Sort the searched related requirement documents by version number and display them as a result list in the virtual interface, including requirement name, version number and upload time;

[0111] Associate the result list with the iteration relationship diagram and the supply chain flow path to view the execution status of the requirements in the supply chain and the change records of all requirement versions.

[0112] It should be noted that a demand search function is provided, which allows keywords to be entered through the VR interface and relevant demand documents to be quickly found. By analyzing the input keywords through natural language processing technology, the system can accurately match relevant demand documents and display them in order by version number. This function not only improves the efficiency of demand retrieval, but also associates search results with iterative relationship diagrams and supply chain flow paths, helping users to view the execution status and change records of demand in the supply chain. The beneficial effect of this step is that users can quickly locate demand documents through a simple keyword search function, and view the execution status of demand in combination with the supply chain flow path, greatly improving the efficiency of demand management and supply chain monitoring.

[0113] This embodiment also provides a display device for demand traceability, including: a demand document processing module, which is used to obtain a demand document, generate an iterative relationship diagram of the demand document through content matching technology, and write a demand change record into a blockchain;

[0114] The phase node division module is used to divide the demand documents into different phase nodes according to the project commitment plan, and obtain the supply chain flow path by analyzing the demand change records in the blockchain;

[0115] A VR visualization module is used to display the iteration relationship diagram and the supply chain flow path in a three-dimensional visualization manner using VR technology, and to generate a coded image based on the supply chain flow path;

[0116] The coded image recognition module is used to automatically load the stage nodes and execution status in the supply chain through VR technology, and use image recognition technology to scan the coded image to obtain detailed information on the demand;

[0117] The intelligent search module is used to introduce the demand search function, and the intelligent search engine automatically searches and matches the demand documents.

[0118] This embodiment also provides a computer device, which is suitable for the case of a method for displaying demand tracing, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the method for displaying demand tracing as proposed in the above embodiment.

[0119] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0120] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the display method for realizing demand traceability as proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, disk or optical disk.

[0121] In summary, the present invention realizes a three-dimensional visualization display of the iterative relationship of the requirement document and the flow path of the supply chain by writing the change record of the requirement document into the blockchain and combining it with VR technology. First, with the help of the distributed ledger technology of the blockchain, the version change information of the requirement document can be recorded safely and transparently, avoiding the risk of information tampering or loss in traditional systems. Secondly, using VR technology, users can intuitively view the iterative relationship and supply chain flow path of the requirement document in three-dimensional space. The three-dimensional visualization of the iterative relationship diagram not only shows the version evolution process of the requirement document, but also dynamically reflects the importance and execution status of the requirement changes through different colors and shapes, which helps users quickly understand the execution progress of the requirements and their position in the supply chain.

[0122] Example 2, referring to Table 1, is the second example of the present invention. To further verify the technical solution of the present invention, experimental simulation data of the display method of demand tracing are provided.

[0123] In order to verify the effectiveness and advantages of a demand traceability display method, a comparative experiment between the experimental group and the control group was conducted. The experimental group used the invented demand traceability display method, which included steps such as obtaining demand documents, generating iterative relationship diagrams, blockchain records, supply chain flow path analysis, and VR three-dimensional visualization display. In the experimental group, the demand documents were segmented, POS tagged, and syntactically analyzed through a natural language processing algorithm to extract core information and generate an iterative relationship diagram, and then the records of each version were written into the blockchain. Combined with the project's commitment plan, the documents were divided into different stages and a supply chain flow path was generated. Finally, VR technology was used to display demand iterations and supply chain paths, and the execution of nodes at each stage was viewed through the VR interface to obtain detailed demand information.

[0124] The control group used a traditional demand management system that relied on two-dimensional tables and text records. Version changes in demand documents were recorded manually, and the supply chain process was limited to linear display, which made it impossible to accurately track the material flow path. The control group system did not integrate blockchain technology, nor did it use VR technology for visualization.

[0125] The experimental objects include demand management parameters in multiple dimensions, such as demand processing time, version iteration accuracy, supply chain node status monitoring response time, demand tracking accuracy, and user interaction experience. The experimental data was collected through multiple simulation projects, which were large in scale and involved multiple document versions and complex supply chains.

[0126] The details are shown in Table 1 below:

[0127] Table 1 Experimental record table

[0128]

[0129]

[0130] By comparing the data of the experimental group and the control group in Table 1, it can be clearly seen that the experimental group performed better than the control group in all key parameters. First, in terms of demand processing time, the average processing time of the experimental group was 3.2 days, which was about half of the 6.5 days of the control group. This is because the experimental group used natural language processing to automatically extract the core information in the demand documents, and used blockchain technology to ensure the efficiency and accuracy of version management, reducing the time and error rate of manual processing.

[0131] In terms of version iteration accuracy, the accuracy of the experimental group reached more than 98%, while the control group was only about 80%. This shows that through the invented content matching technology, different versions of the same requirement can be identified more accurately, and inaccurate version identification will not be caused by manual operation or system errors. The supply chain node status response time is also a major advantage of the experimental group. The average response time of the experimental group is 5 minutes, while the average response time of the control group is close to 12.5 minutes. Because the experimental group uses blockchain technology to track the entire supply chain nodes, it can provide real-time feedback on the execution status of each node, while the control group relies on manual updates and linear displays, and the response lags significantly.

[0132] The accuracy of demand tracking in the experimental group reached 94%, much higher than the 72% in the control group. This is due to the immutability of blockchain and the intuitive visualization of VR technology, which ensures that users can accurately track the flow and status of demand at each node. The control group lacks real-time monitoring and visualization of the supply chain, resulting in lower accuracy and error-prone demand tracking.

[0133] In terms of user interaction experience satisfaction, the experimental group scored an average of 9.2 points, while the control group scored only 5.3 points. This reflects the advantages of VR technology in three-dimensional visualization. Users can understand project progress and supply chain status more quickly through an intuitive interface, while the two-dimensional tables and document displays of the control group make the user experience boring and inefficient.

[0134] In addition, in terms of the error rate of the requirement document version, the error rate of the experimental group was only 1.2%, while that of the control group was as high as 9.3%. This proves that recording the version iteration information of the requirement document through blockchain technology can effectively avoid version confusion and manual operation errors, and ensure the accuracy and consistency of document management.

[0135] In summary, through the comparison between the experimental group and the control group, it can be fully proved that the invented demand traceability display method has significant innovation and advantages in demand management, supply chain monitoring, user interaction experience, etc. This method realizes the automation, visualization and intelligence of demand management by combining blockchain technology, content matching algorithm and VR technology, significantly improves system efficiency and data reliability, and solves many shortcomings of traditional methods.

[0136] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for displaying demand tracing, characterized by: include, Obtain the requirement document, generate an iterative relationship diagram of the requirement document through content matching technology, and write the requirement change record into the blockchain; According to the project commitment plan, the demand documents are divided into different stage nodes, and the supply chain flow path is obtained by analyzing the demand change records in the blockchain; Using VR technology, the iteration relationship diagram and supply chain flow path are displayed in a three-dimensional visualization, and a coded image is generated based on the supply chain flow path; Use VR technology to automatically load the stage nodes and execution status in the supply chain, and use image recognition technology to scan the coded image to obtain detailed information on the demand; Introducing the demand search function, the intelligent search engine automatically searches and matches demand documents; The requirement document includes the title, keywords, upload time, uploader and document version of the requirement.

2. The method for displaying demand tracing according to claim 1, characterized in that: Generate an iterative relationship diagram of the requirement document through content matching technology, and write the requirement change record into the blockchain, including the following steps: Use natural language processing algorithms to perform word segmentation, part-of-speech tagging, and syntactic analysis on each requirement document to extract core information and metadata from the requirement document; Based on the core information and metadata of the requirement documents, the similarity of the core information between the requirement documents is calculated to match and compare the contents and identify different versions of the same requirement. By analyzing the content changes of the requirement document and the version information in the metadata, an iterative relationship diagram of the requirements is constructed; While generating the iteration relationship diagram, each version of the requirement document will be written into the blockchain. Through the distributed ledger technology of the blockchain, the version iteration information of the requirement document will be securely recorded to form a record of requirement changes.

3. The method for displaying demand tracing according to claim 1, characterized in that: According to the project commitment plan, the requirements document is divided into different phase nodes, including the following steps: The commitment plan defines the timeline and phase information of the project; Read the schedule in the commitment plan, extract the start and end time as the stage nodes, and define the name of each stage based on the stage information; According to the matching of the upload time of each version of the requirement document with the stage node, different versions of the requirement document are assigned to the corresponding stage nodes.

4. The method for displaying demand tracing according to claim 1, characterized in that: By analyzing the demand change records in the blockchain and combining the stage nodes, the supply chain flow path is obtained, including the following steps: Extract requirement change records from blockchain; Query the change blocks of demand in the supply chain through blockchain, and read the supply chain information corresponding to the demand document. Each block contains the supply location and supply action. Based on the stage nodes, identify the upstream supply nodes; Starting from the upstream node, query the supply chain information of the demand document one by one and extract the supply actions in the blockchain; Trace down layer by layer until there are no downstream nodes; A supply chain flow path is generated based on the integration of all supply actions extracted from upstream nodes to downstream nodes.

5. The method for displaying demand tracing according to claim 1, characterized in that: Using VR technology, the iteration relationship diagram and the supply chain flow path are displayed in a three-dimensional visualization manner, and a coded image is generated according to the supply chain flow path, including the following steps: Extract the version number of each requirement version and the iteration relationship of each version from the iteration relationship diagram; Extract node information in the supply chain and association information between supply chain nodes from the supply chain flow path; Format the data of iteration relationship diagram and supply chain flow path; The iteration relationship graph is represented by a graph structure, where the nodes are requirement versions and the edges are the iteration relationships of the versions. The supply chain flow path is represented by a directed graph, where the nodes are the node information in the supply chain and the edges are the association information between the supply chain nodes. Based on the defined iterative relationship graph and the nodes and edges of the supply chain flow path, three-dimensional visualization technology is used to transform and generate a three-dimensional model of the iterative relationship graph and a three-dimensional model of the supply chain flow path; According to the supply chain information in the supply chain flow path, the path is encoded into lines of different shapes and colors to generate a coded image.

6. The method for displaying demand tracing according to claim 1, characterized in that: VR technology is used to automatically load the stage nodes and execution status in the supply chain, and image recognition technology is used to scan the coded image to obtain detailed information on the demand, including the following steps: Use VR headsets to enter the three-dimensional model visualization interface of the iteration relationship diagram and supply chain flow path, load and view the stage nodes and execution status of the entire supply chain; The coded image is embedded in the three-dimensional model of the stage node. The coded image is scanned through the pointing function of the VR controller, the information in the image is automatically identified and decoded, and the detailed information of the requirement document is displayed in the virtual interface.

7. The method for displaying demand tracing according to claim 1, characterized in that: Introduce the demand search function, and use the intelligent search engine to automatically search and match demand documents, including the following steps: Add a demand search function page in the VR interface. In the virtual interface, enter the demand search function page through the virtual button; In the demand search function page, enter keywords through the virtual keyboard. Natural language processing technology analyzes the input keywords and searches for demand documents related to the keywords. Sort the searched related requirement documents by version number and display them as a result list in the virtual interface; Associate the result list with the iteration relationship diagram and the supply chain flow path to view the execution status of the requirements in the supply chain and the change records of all requirement versions.

8. A demand tracing display device, based on the demand tracing display method according to any one of claims 1 to 7, characterized in that: include, The requirement document processing module is used to obtain the requirement document, generate an iterative relationship diagram of the requirement document through content matching technology, and write the requirement change record into the blockchain; The phase node division module is used to divide the demand documents into different phase nodes according to the project commitment plan, and obtain the supply chain flow path by analyzing the demand change records in the blockchain; A VR visualization module is used to display the iteration relationship diagram and the supply chain flow path in a three-dimensional visualization manner using VR technology, and to generate a coded image based on the supply chain flow path; The coded image recognition module is used to automatically load the stage nodes and execution status in the supply chain through VR technology, and use image recognition technology to scan the coded image to obtain detailed information on the demand; The intelligent search module is used to introduce the demand search function, and the intelligent search engine automatically searches and matches the demand documents.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the demand tracing display method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the demand tracing display method described in any one of claims 1 to 7 are implemented.

Images