Industrial chain atlas automatic construction system and method based on multi-source data fusion

Abstract

The invention is suitable for the technical field of industrial chain atlas, and provides an industrial chain atlas automatic construction system and method based on multi-source data fusion. According to the method, a multi-dimensional label system is constructed by acquiring a plurality of industrial chain atlas labels; acquiring related data of a plurality of industrial chains from the plurality of authoritative data sources, and extracting key data of the plurality of industrial chains; performing data verification and interactive correction on the plurality of industrial chain input data to obtain a plurality of industrial chain correction data; performing multi-source data fusion on the plurality of industrial chain key data and the plurality of industrial chain correction data, and performing classification and association based on a multi-dimensional label system to generate a multi-dimensional industrial chain graph; and carrying out multi-view basic display and interactive display. According to the technical scheme, automatic collection, integration and indexing of industrial chain data can be achieved, comprehensiveness, accuracy and timeliness of an industrial chain atlas are ensured, the latest dynamic state of an industrial chain is reflected accordingly, low-delay interactive atlas display can be achieved, and user experience and data analysis efficiency are improved.

Description

Technical Field

[0001] This invention belongs to the field of industry chain mapping technology, and in particular relates to an automated system and method for constructing industry chain maps based on multi-source data fusion. Background Technology

[0002] Against the backdrop of the rapid development of the technology industry, the industrial chain structure is becoming increasingly complex, encompassing numerous participants and diverse resources.

[0003] In existing technologies, traditional methods of constructing industry chain maps mainly rely on manual data entry. This process has many drawbacks, such as long data update cycles, making it difficult to adapt to rapidly changing industry dynamics; and serious data silos, where data from different sources cannot be effectively integrated. Summary of the Invention

[0004] The purpose of this invention is to provide an automated system and method for constructing industry chain maps based on multi-source data fusion, aiming to solve the technical problems existing in the prior art mentioned in the background.

[0005] The embodiments of the present invention are implemented as follows:

[0006] An automated method for constructing industry chain maps based on multi-source data fusion, the method specifically includes the following steps:

[0007] Obtain multiple industry chain map tags, as well as the corresponding data fields and matching rules, to construct a multi-dimensional tag system;

[0008] According to a preset time period, multiple industry chain-related data are obtained from multiple authoritative data sources, and the multiple industry chain-related data are analyzed to extract multiple key industry chain data.

[0009] Receive multiple industry chain input data from the user, perform data verification and interactive correction on the multiple industry chain input data, and obtain multiple industry chain correction data;

[0010] Multi-source data fusion is performed on key data and corrected data of multiple industrial chains, and classification and association are performed based on the multi-dimensional label system to generate a multi-dimensional industrial chain map;

[0011] The multi-dimensional industry chain map is displayed in multiple views and interactively.

[0012] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining multiple industry chain map tags, and obtaining the corresponding data fields and matching rules to construct a multi-dimensional tag system specifically includes the following steps:

[0013] Obtain multiple industry chain map tags;

[0014] Obtain the data fields corresponding to the multiple industry chain map labels;

[0015] Obtain the matching rules corresponding to multiple industry chain map labels;

[0016] By integrating multiple industry chain map tags, multiple data fields, and multiple matching rules, a multi-dimensional tag system is constructed, covering projects, talents, platforms, institutions, enterprises, papers, patents, and technology needs.

[0017] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining multiple industry chain-related data from multiple authoritative data sources according to a preset time period, and parsing the multiple industry chain-related data to extract multiple key industry chain data specifically includes the following steps:

[0018] According to a preset time period, it automatically accesses multiple authoritative data sources, including official websites, professional industry reports, and academic paper databases.

[0019] We update and acquire data related to multiple industry chains from multiple authoritative data sources;

[0020] According to preset format rules, multiple industry chain-related data are validated and anomaly-handled to generate multiple industry chain processing data.

[0021] Using natural language processing technology, the data from multiple industry chains are parsed to extract multiple industry chain keywords and key information, generating multiple key industry chain data.

[0022] As a further limitation of the technical solution of this embodiment of the invention, the step of receiving multiple industry chain input data from the user, performing data verification and interactive correction on the multiple industry chain input data to obtain multiple industry chain corrected data specifically includes the following steps:

[0023] Receives input data from multiple industry chains from users;

[0024] According to preset format rules, data validation is performed on multiple input data from the industry chain to determine whether they conform to the format rules;

[0025] When a format does not conform to the rules, interact with the user to correct it;

[0026] Generate multiple industry chain correction data.

[0027] As a further limitation of the technical solution of this invention, the step of fusing multiple key data and multiple corrected data of the industrial chain from multiple sources, and classifying and associating them based on the multi-dimensional labeling system to generate a multi-dimensional industrial chain map specifically includes the following steps:

[0028] Determine multiple node relationships, including supply relationships, subordinate relationships, cooperative relationships, and competitive relationships;

[0029] Based on the relationships between the nodes, multi-source data fusion is performed on the key data of the industrial chain and the corrective data of the industrial chain to generate industrial chain fusion data.

[0030] Based on the multi-dimensional tagging system, the integrated data of the industrial chain is classified and associated to generate a multi-dimensional industrial chain map.

[0031] As a further limitation of the technical solution of this invention embodiment, the multi-view basic display and interactive display of the multi-dimensional industry chain map specifically includes the following steps:

[0032] The multi-dimensional industry chain map is graphically processed to generate tree view, network view and hierarchical view;

[0033] Using WebGL or SVG graphics rendering technology, the tree view, the mesh view, and the hierarchical view are displayed in a basic sequence of multiple views.

[0034] Receive user interaction operations;

[0035] Based on the interactive operation, automatic highlighting and information pop-up window interactive display will be performed.

[0036] An automated industry chain map construction system based on multi-source data fusion is provided. The system includes a multi-dimensional label system construction module, a related data acquisition module, a corrected data acquisition module, a multi-dimensional industry chain map generation module, and a multi-dimensional industry chain map display module, wherein:

[0037] The multi-dimensional tag system construction module is used to obtain multiple industry chain map tags, as well as the corresponding data fields and matching rules, to construct a multi-dimensional tag system;

[0038] The relevant data acquisition module is used to acquire multiple industry chain-related data from multiple authoritative data sources according to a preset time period, and to parse the multiple industry chain-related data to extract multiple key industry chain data.

[0039] The data acquisition module is used to receive multiple industry chain input data input by the user, perform data verification and interactive correction on the multiple industry chain input data, and obtain multiple industry chain correction data.

[0040] The multi-dimensional industry chain map generation module is used to perform multi-source data fusion on key data and modified data of multiple industry chains, and to classify and associate them based on the multi-dimensional label system to generate a multi-dimensional industry chain map.

[0041] The multi-dimensional industry chain map display module is used to provide multi-view basic display and interactive display of the multi-dimensional industry chain map.

[0042] As a further limitation of the technical solution of this embodiment of the invention, the multi-dimensional tag system construction module specifically includes:

[0043] The map tag acquisition unit is used to acquire multiple industry chain map tags;

[0044] A data field acquisition unit is used to acquire data fields corresponding to multiple industry chain map labels;

[0045] The matching rule acquisition unit is used to acquire the matching rules corresponding to the multiple industry chain map labels;

[0046] The tag system construction unit is used to integrate multiple industry chain map tags, multiple data fields, and multiple matching rules to build a multi-dimensional tag system covering projects, talents, platforms, institutions, enterprises, papers, patents, and technology needs.

[0047] As a further limitation of the technical solution of this embodiment of the invention, the relevant data acquisition module specifically includes:

[0048] The data source access unit is used to periodically and automatically access multiple authoritative data sources according to a preset time period. The multiple authoritative data sources include official websites, professional industry reports, and academic paper databases.

[0049] The data update unit is used to update and obtain multiple industry chain-related data from multiple authoritative data sources;

[0050] The data verification unit is used to perform data verification and anomaly handling on multiple industry chain-related data according to preset format rules, and generate multiple industry chain processing data.

[0051] The data parsing unit is used to parse multiple industry chain processing data using natural language processing technology, extract multiple industry chain keywords and multiple industry chain key information, and generate multiple industry chain key data.

[0052] As a further limitation of the technical solution of this embodiment of the invention, the multi-dimensional industry chain map display module specifically includes:

[0053] A graphical processing unit is used to graphically process the multi-dimensional industry chain map to generate a tree view, a network view, and a hierarchical view.

[0054] The basic cycle display unit is used to display the tree view, the mesh view and the hierarchical view in a basic cycle using WebGL or SVG graphics rendering technology.

[0055] An interactive operation receiving unit is used to receive user interactive operations;

[0056] The interactive display unit is used to automatically highlight and display information pop-ups based on the interactive operations.

[0057] Compared with the prior art, the beneficial effects of the present invention are:

[0058] This invention constructs a multi-dimensional tagging system by acquiring multiple industry chain map tags; it obtains multiple industry chain-related data from multiple authoritative data sources and extracts multiple key industry chain data; it performs data verification and interactive correction on multiple industry chain input data to obtain multiple corrected industry chain data; it performs multi-source data fusion on multiple key industry chain data and multiple corrected industry chain data, classifies and associates them based on the multi-dimensional tagging system, and generates a multi-dimensional industry chain map; and it provides multi-view basic display and interactive display. This enables automatic collection, integration, and indexing of industry chain data, ensuring the comprehensiveness, accuracy, and timeliness of the industry chain map, thereby reflecting the latest developments in the industry chain, and achieving low-latency interactive map display, improving user experience and data analysis efficiency. Attached Figure Description

[0059] Figure 1 The flowchart illustrates the automated construction method for industry chain maps based on multi-source data fusion provided in an embodiment of the present invention.

[0060] Figure 2 The flowchart illustrating the construction of a multi-dimensional tag system in the method provided by an embodiment of the present invention is shown.

[0061] Figure 3 A flowchart illustrating the method for extracting key data from the industrial chain provided in this embodiment of the invention is shown.

[0062] Figure 4 The flowchart of data verification and interactive correction in the method provided by the embodiment of the present invention is shown;

[0063] Figure 5 The flowchart illustrating the generation of a multi-dimensional industry chain map in the method provided by an embodiment of the present invention is shown.

[0064] Figure 6 The flowchart illustrates the multi-view basic display and interactive display in the method provided by the embodiments of the present invention;

[0065] Figure 7This invention illustrates the application architecture of an automated industrial chain mapping system based on multi-source data fusion, as provided in an embodiment of the present invention.

[0066] Figure 8 This diagram illustrates the structural block diagram of the multi-dimensional tag system construction module in the system provided by an embodiment of the present invention;

[0067] Figure 9 This invention provides a structural block diagram of the relevant data acquisition module in the system.

[0068] Figure 10 The diagram shows the structural block diagram of the multi-dimensional industry chain map display module in the system provided by the embodiment of the present invention. Detailed Implementation

[0069] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0070] Understandably, in existing technologies, the traditional methods of constructing industry chain maps mainly rely on manual data entry. This process has many drawbacks, such as long data update cycles, making it difficult to adapt to rapidly changing industry dynamics; and serious data silos, where data from different sources cannot be effectively integrated.

[0071] To address the aforementioned issues, this invention discloses an automated system and method for constructing industry chain maps based on multi-source data fusion. This system acquires multiple industry chain map tags, along with corresponding data fields and matching rules, to construct a multi-dimensional tag system. Following a preset time period, it acquires multiple industry chain-related data from multiple authoritative data sources, analyzes this data, and extracts multiple key industry chain data. It receives multiple industry chain input data from users, performs data verification and interactive correction on these input data, resulting in multiple corrected industry chain data. It then fuses the key industry chain data and the corrected industry chain data using multi-source data fusion, classifies and associates them based on the multi-dimensional tag system, and generates a multi-dimensional industry chain map. Finally, it provides a multi-view basic display and interactive display of the multi-dimensional industry chain map. This system enables automatic collection, integration, and indexing of industry chain data, ensuring the comprehensiveness, accuracy, and timeliness of the industry chain map, thereby reflecting the latest developments in the industry chain. Furthermore, it enables low-latency interactive map display, improving user experience and data analysis efficiency.

[0072] Specifically, Figure 1 The flowchart illustrates the automated construction method for industry chain maps based on multi-source data fusion provided in an embodiment of the present invention.

[0073] In a preferred embodiment of the present invention, the method for automatically constructing an industry chain map based on multi-source data fusion specifically includes the following steps:

[0074] Step S101: Obtain multiple industry chain map labels, and obtain the corresponding data fields and matching rules to construct a multi-dimensional label system.

[0075] In this embodiment of the invention, multiple industry chain map tags are acquired, along with the corresponding data fields and matching rules. Then, by integrating multiple industry chain map tags, multiple data fields, and multiple matching rules, a multi-dimensional tag system covering projects, talents, platforms, institutions, enterprises, papers, patents, and technological needs is constructed. This allows each industry chain map tag in the multi-dimensional tag system to correspond to specific data fields and matching rules, providing a foundation for the accurate classification and identification of various types of data in the future.

[0076] Specifically, Figure 2 The flowchart illustrating the construction of a multi-dimensional labeling system in the method provided by an embodiment of the present invention is shown.

[0077] In another preferred embodiment of the present invention, the step of acquiring multiple industry chain map tags, acquiring corresponding data fields and matching rules, and constructing a multi-dimensional tag system specifically includes the following steps:

[0078] Step S1011: Obtain multiple industry chain map labels.

[0079] Step S1012: Obtain the data fields corresponding to the multiple industry chain map labels.

[0080] Step S1013: Obtain the matching rules corresponding to the multiple industry chain map tags.

[0081] Step S1014: Integrate multiple industry chain map tags, multiple data fields, and multiple matching rules to construct a multi-dimensional tag system covering projects, talents, platforms, institutions, enterprises, papers, patents, and technology needs.

[0082] Furthermore, the automated construction method for industry chain maps based on multi-source data fusion also includes the following steps:

[0083] Step S102: According to a preset time period, obtain multiple industry chain-related data from multiple authoritative data sources, and analyze the multiple industry chain-related data to extract multiple key industry chain data.

[0084] In this embodiment of the invention, multiple authoritative data sources, such as official websites, professional industry reports, and academic paper databases, are periodically and automatically accessed according to a preset time period. Multiple industry chain-related data are updated and obtained from these authoritative data sources. Then, according to preset format rules, the multiple industry chain-related data are validated and anomaly-handled to generate multiple industry chain processing data. Finally, natural language processing technology is used to parse the multiple industry chain processing data, extract multiple industry chain keywords and multiple industry chain key information, and generate multiple industry chain key data.

[0085] Understandably, when updating and acquiring data related to multiple industry chains, only the data that has changed is updated in a targeted manner, avoiding the repeated processing of unchanged data, which greatly improves the efficiency of data updates and reduces the consumption of computing resources.

[0086] Understandably, performing data verification and anomaly handling on multiple industry chain-related data according to preset format rules involves strictly verifying each newly acquired data during the data update process to ensure that the data format and content conform to preset format rules. Once a data anomaly is detected, the anomaly handling process will be initiated immediately, using automatic error correction, data rollback, and other methods to ensure the accuracy and stability of the data and the smooth progress of the entire update process.

[0087] Specifically, Figure 3 A flowchart illustrating the method for extracting key data from the industrial chain provided in an embodiment of the present invention is shown.

[0088] In another preferred embodiment of the present invention, the step of acquiring multiple industry chain-related data from multiple authoritative data sources according to a preset time period, and parsing the multiple industry chain-related data to extract multiple key industry chain data specifically includes the following steps:

[0089] Step S1021: According to a preset time period, periodically and automatically access multiple authoritative data sources, including official websites, professional industry reports, and academic paper databases.

[0090] Step S1022: Update and obtain multiple industry chain-related data from multiple authoritative data sources.

[0091] Step S1023: According to the preset format rules, perform data verification and anomaly processing on multiple industry chain-related data to generate multiple industry chain processing data.

[0092] Step S1024: Using natural language processing technology, analyze the processing data of multiple industry chains, extract multiple industry chain keywords and multiple industry chain key information, and generate multiple industry chain key data.

[0093] Furthermore, the automated construction method for industry chain maps based on multi-source data fusion also includes the following steps:

[0094] Step S103: Receive multiple supply chain input data from the user, perform data verification and interactive correction on the multiple supply chain input data, and obtain multiple supply chain correction data.

[0095] In this embodiment of the invention, by providing a graphical user interface, users can input data through simple drag-and-drop operations. By receiving multiple industry chain input data from users, and then verifying the multiple industry chain input data according to preset format rules, it is determined whether the data conforms to the format rules. If the data does not conform to the format rules, the user is promptly prompted to make corrections. After the data corrections are completed, multiple corrected industry chain data are generated, thereby ensuring the accuracy and standardization of the entered data and laying a solid foundation for subsequent data processing and analysis.

[0096] Specifically, Figure 4 A flowchart of data verification and interactive correction in the method provided by an embodiment of the present invention is shown.

[0097] In another preferred embodiment of the present invention, the step of receiving multiple industry chain input data from the user, performing data verification and interactive correction on the multiple industry chain input data to obtain multiple industry chain corrected data specifically includes the following steps:

[0098] Step S1031: Receive multiple industry chain input data from the user.

[0099] Step S1032: According to the preset format rules, perform data verification on multiple input data of the industrial chain to determine whether they conform to the format rules.

[0100] Step S1033: If the format does not conform to the rules, interact with the user to make corrections.

[0101] Step S1034: Generate multiple supply chain correction data.

[0102] Furthermore, the automated construction method for industry chain maps based on multi-source data fusion also includes the following steps:

[0103] Step S104: Perform multi-source data fusion on multiple key data and multiple corrected data of the industrial chain, and classify and associate them based on the multi-dimensional label system to generate a multi-dimensional industrial chain map.

[0104] In this embodiment of the invention, multiple node relationships, including supply relationships, subordinate relationships, cooperative relationships, and competitive relationships, are determined. Then, according to the multiple node relationships, multiple key data of the industrial chain and multiple corrected data of the industrial chain are fused from multiple sources to generate industrial chain fusion data. After that, based on a multi-dimensional labeling system, the industrial chain fusion data is classified and associated to generate a multi-dimensional industrial chain map.

[0105] Specifically, Figure 5 The flowchart illustrating the method for generating a multi-dimensional industry chain map provided in an embodiment of the present invention is shown.

[0106] In another preferred embodiment of the present invention, the step of fusing multiple key data and multiple corrected data of the industrial chain from multiple sources, and classifying and associating them based on the multi-dimensional labeling system to generate a multi-dimensional industrial chain map specifically includes the following steps:

[0107] Step S1041: Determine multiple node relationships, including supply relationships, subordinate relationships, cooperative relationships, and competitive relationships.

[0108] Step S1042: According to the relationship between the multiple nodes, perform multi-source data fusion on the multiple key data of the industrial chain and the multiple corrected data of the industrial chain to generate industrial chain fusion data.

[0109] Step S1043: Based on the multi-dimensional labeling system, classify and associate the integrated data of the industrial chain to generate a multi-dimensional industrial chain map.

[0110] Furthermore, the automated construction method for industry chain maps based on multi-source data fusion also includes the following steps:

[0111] Step S105: Perform multi-view basic display and interactive display of the multi-dimensional industry chain map.

[0112] In this embodiment of the invention, a tree view, a network view, and a hierarchical view are generated by graphically processing a multi-dimensional industry chain map. Then, using WebGL or SVG graphics rendering technology, the tree view, network view, and hierarchical view are displayed in a basic cycle according to a preset display order. The system also receives user interaction operations and, based on these operations, automatically highlights and displays information pop-ups of the specific content in the tree view, network view, and hierarchical view. Specifically, when the user hovers the mouse over a node, that node will automatically highlight; after the user clicks on a node, a detailed node information window will pop up, displaying information including the node's basic attributes and relationships.

[0113] Specifically, Figure 6The flowchart illustrates the multi-view basic display and interactive display in the method provided by the embodiments of the present invention.

[0114] In another preferred embodiment of the present invention, the multi-view basic display and interactive display of the multi-dimensional industry chain map specifically includes the following steps:

[0115] Step S1051: Perform graphical processing on the multi-dimensional industrial chain map to generate a tree view, a network view, and a hierarchical view.

[0116] Step S1052: Using WebGL or SVG graphics rendering technology, perform a basic round-robin display of the tree view, the mesh view, and the hierarchical view.

[0117] Step S1053: Receive user interaction operations.

[0118] Step S1054: Based on the interactive operation, perform automatic highlighting and information pop-up interactive display.

[0119] Furthermore, Figure 7 The diagram illustrates the application architecture of the automated industry chain mapping system based on multi-source data fusion provided in this embodiment of the invention.

[0120] Specifically, in another preferred embodiment provided by the present invention, the automated construction system for industry chain maps based on multi-source data fusion includes:

[0121] The multi-dimensional tag system construction module 101 is used to obtain multiple industry chain map tags, as well as the corresponding data fields and matching rules, to construct a multi-dimensional tag system.

[0122] In this embodiment of the invention, the multi-dimensional tag system construction module 101 acquires multiple industry chain map tags and the corresponding data fields and matching rules for these tags. Then, by integrating multiple industry chain map tags, multiple data fields, and multiple matching rules, it constructs a multi-dimensional tag system covering projects, talents, platforms, institutions, enterprises, papers, patents, and technological needs. This allows each industry chain map tag in the multi-dimensional tag system to correspond to specific data fields and matching rules, providing a foundation for the accurate classification and identification of various types of data in the future.

[0123] Specifically, Figure 8 The diagram shows the structural block diagram of the multi-dimensional label system construction module 101 in the system provided by the embodiment of the present invention.

[0124] In another preferred embodiment of the present invention, the multi-dimensional tag system construction module 101 specifically includes:

[0125] The map tag acquisition unit 1011 is used to acquire multiple industry chain map tags.

[0126] The data field acquisition unit 1012 is used to acquire data fields corresponding to multiple industry chain map labels.

[0127] The matching rule acquisition unit 1013 is used to acquire the matching rules corresponding to the multiple industry chain map tags.

[0128] The tag system construction unit 1014 is used to integrate multiple industry chain map tags, multiple data fields and multiple matching rules to construct a multi-dimensional tag system covering projects, talents, platforms, institutions, enterprises, papers, patents and technology needs.

[0129] Furthermore, the automated industry chain mapping construction system based on multi-source data fusion also includes:

[0130] The relevant data acquisition module 102 is used to acquire multiple industry chain-related data from multiple authoritative data sources according to a preset time period, and to parse the multiple industry chain-related data to extract multiple key industry chain data.

[0131] In this embodiment of the invention, the relevant data acquisition module 102 periodically and automatically accesses multiple authoritative data sources such as official websites, professional industry reports, and academic paper databases according to a preset time period. It updates and acquires multiple industry chain-related data from these authoritative data sources, and then performs data verification and anomaly handling on the multiple industry chain-related data according to preset format rules to generate multiple industry chain processing data. Finally, it uses natural language processing technology to parse the multiple industry chain processing data, extract multiple industry chain keywords and multiple industry chain key information, and generate multiple industry chain key data.

[0132] Specifically, Figure 9 The diagram shows the structure of the relevant data acquisition module 102 in the system provided by the embodiment of the present invention.

[0133] In another preferred embodiment provided by the present invention, the relevant data acquisition module 102 specifically includes:

[0134] The data source access unit 1021 is used to periodically and automatically access multiple authoritative data sources according to a preset time period. The multiple authoritative data sources include official websites, professional industry reports, and academic paper databases.

[0135] The data update unit 1022 is used to update and obtain multiple industry chain-related data from multiple authoritative data sources.

[0136] The data verification unit 1023 is used to perform data verification and anomaly processing on multiple industry chain-related data according to preset format rules, and generate multiple industry chain processing data.

[0137] The data parsing unit 1024 is used to parse multiple industry chain processing data using natural language processing technology, extract multiple industry chain keywords and multiple industry chain key information, and generate multiple industry chain key data.

[0138] Furthermore, the automated industry chain mapping construction system based on multi-source data fusion also includes:

[0139] The data acquisition module 103 is used to receive multiple industry chain input data input by the user, perform data verification and interactive correction on the multiple industry chain input data, and obtain multiple industry chain correction data.

[0140] In this embodiment of the invention, the data acquisition module 103 provides a graphical user interface, allowing users to input data through simple drag-and-drop operations. By receiving multiple industry chain input data from the user, the module verifies the data according to preset format rules to determine whether it conforms to the format rules. If it does not conform to the format rules, the module promptly prompts the user to make corrections. After the data corrections are completed, multiple industry chain correction data are generated, thereby ensuring the accuracy and standardization of the entered data and laying a solid foundation for subsequent data processing and analysis.

[0141] The multi-dimensional industry chain map generation module 104 is used to perform multi-source data fusion on multiple key data and multiple corrected data of the industry chain, and to classify and associate them based on the multi-dimensional label system to generate a multi-dimensional industry chain map.

[0142] In this embodiment of the invention, the multi-dimensional industrial chain map generation module 104 determines multiple node relationships, including supply relationships, affiliation relationships, cooperation relationships, and competition relationships. Then, according to the multiple node relationships, it performs multi-source data fusion on multiple key industrial chain data and multiple corrected industrial chain data to generate industrial chain fusion data. After that, based on the multi-dimensional tag system, the industrial chain fusion data is classified and associated to generate a multi-dimensional industrial chain map.

[0143] The multi-dimensional industry chain map display module 105 is used to perform multi-view basic display and interactive display of the multi-dimensional industry chain map.

[0144] In this embodiment of the invention, the multi-dimensional industry chain map display module 105 performs graphical processing on the multi-dimensional industry chain map to generate a tree view, a network view, and a hierarchical view. Then, using WebGL or SVG graphics rendering technology, it displays the tree view, network view, and hierarchical view in a basic round-by-round manner according to a preset round-by-round display order. It also receives user interaction operations and, based on the interaction operations, automatically highlights and displays the specific content in the tree view, network view, and hierarchical view through information pop-ups. Specifically, when the user hovers the mouse over a node, that node will be automatically highlighted; after the user clicks on a node, a detailed node information window pops up, displaying content including the node's basic attributes, relationships, etc.

[0145] Specifically, Figure 10 The diagram shows the structural block diagram of the multi-dimensional industry chain map display module 105 in the system provided by the embodiment of the present invention.

[0146] In another preferred embodiment of the present invention, the multi-dimensional industry chain map display module 105 specifically includes:

[0147] The graphical processing unit 1051 is used to perform graphical processing on the multi-dimensional industrial chain map to generate a tree view, a network view, and a hierarchical view.

[0148] The basic cycle display unit 1052 is used to display the basic cycle of the tree view, the mesh view and the hierarchical view in multiple views through WebGL or SVG graphics rendering technology.

[0149] The interactive operation receiving unit 1053 is used to receive user interactive operations.

[0150] The interactive display unit 1054 is used to perform interactive display of automatic highlighting and information pop-up windows according to the interactive operation.

[0151] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0152] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0153] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. An automated method for constructing industry chain maps based on multi-source data fusion, characterized in that, The method specifically comprises the following steps: Obtain multiple industry chain map tags, as well as the corresponding data fields and matching rules, to construct a multi-dimensional tag system; According to a preset time period, multiple industry chain-related data are obtained from multiple authoritative data sources, and the multiple industry chain-related data are analyzed to extract multiple key industry chain data. Receive multiple industry chain input data from the user, perform data verification and interactive correction on the multiple industry chain input data, and obtain multiple industry chain correction data; Multi-source data fusion is performed on key data and corrected data of multiple industrial chains, and classification and association are performed based on the multi-dimensional label system to generate a multi-dimensional industrial chain map; The multi-dimensional industry chain map is displayed in multiple views and interactively.

2. The method for automated construction of industry chain maps based on multi-source data fusion according to claim 1, characterized in that, The process of acquiring multiple industry chain map tags, obtaining corresponding data fields and matching rules, and constructing a multi-dimensional tag system specifically includes the following steps: Obtain multiple industry chain map tags; Obtain the data fields corresponding to the multiple industry chain map labels; Obtain the matching rules corresponding to multiple industry chain map labels; By integrating multiple industry chain map tags, multiple data fields, and multiple matching rules, a multi-dimensional tag system is constructed, covering projects, talents, platforms, institutions, enterprises, papers, patents, and technology needs.

3. The method for automated construction of industry chain maps based on multi-source data fusion according to claim 1, characterized in that, The process of acquiring multiple industry chain-related data from multiple authoritative data sources according to a preset time period, and then parsing and extracting multiple key industry chain data specifically includes the following steps: According to a preset time period, it automatically accesses multiple authoritative data sources, including official websites, professional industry reports, and academic paper databases. We update and acquire data related to multiple industry chains from multiple authoritative data sources; According to preset format rules, multiple industry chain-related data are validated and anomaly-handled to generate multiple industry chain processing data. Using natural language processing technology, the data from multiple industry chains are parsed to extract multiple industry chain keywords and key information, generating multiple key industry chain data.

4. The method for automated construction of industry chain maps based on multi-source data fusion according to claim 1, characterized in that, The process of receiving multiple industry chain input data from the user, and performing data verification and interactive correction on the multiple industry chain input data to obtain multiple industry chain corrected data specifically includes the following steps: Receives input data from multiple industry chains from users; According to preset format rules, data validation is performed on multiple input data from the industry chain to determine whether they conform to the format rules; When a format does not conform to the rules, interact with the user to correct it; Generate multiple industry chain correction data.

5. The method for automated construction of industry chain maps based on multi-source data fusion according to claim 1, characterized in that, The process of fusing multi-source data, including key data and corrected data from multiple industry chains, and classifying and associating them based on the multi-dimensional labeling system to generate a multi-dimensional industry chain map, specifically includes the following steps: Determine multiple node relationships, including supply relationships, subordinate relationships, cooperative relationships, and competitive relationships; Based on the relationships between the nodes, multi-source data fusion is performed on the key data of the industrial chain and the corrective data of the industrial chain to generate industrial chain fusion data. Based on the multi-dimensional tagging system, the integrated data of the industrial chain is classified and associated to generate a multi-dimensional industrial chain map.

6. The method for automated construction of industry chain maps based on multi-source data fusion according to claim 1, characterized in that, The process of providing multi-view basic display and interactive display of the multi-dimensional industry chain map specifically includes the following steps: The multi-dimensional industry chain map is graphically processed to generate tree view, network view and hierarchical view; Using WebGL or SVG graphics rendering technology, the tree view, the mesh view, and the hierarchical view are displayed in a basic sequence of multiple views. Receive user interaction operations; Based on the interactive operation, automatic highlighting and information pop-up window interactive display will be performed.

7. An automated industrial chain mapping system based on multi-source data fusion, characterized in that, The system includes a multi-dimensional tag system construction module, a related data acquisition module, a corrected data acquisition module, a multi-dimensional industry chain map generation module, and a multi-dimensional industry chain map display module, wherein: The multi-dimensional tag system construction module is used to obtain multiple industry chain map tags, as well as the corresponding data fields and matching rules, to construct a multi-dimensional tag system; The relevant data acquisition module is used to acquire multiple industry chain-related data from multiple authoritative data sources according to a preset time period, and to parse the multiple industry chain-related data to extract multiple key industry chain data. The data acquisition module is used to receive multiple industry chain input data input by the user, perform data verification and interactive correction on the multiple industry chain input data, and obtain multiple industry chain correction data. The multi-dimensional industry chain map generation module is used to perform multi-source data fusion on key data and modified data of multiple industry chains, and to classify and associate them based on the multi-dimensional label system to generate a multi-dimensional industry chain map. The multi-dimensional industry chain map display module is used to provide multi-view basic display and interactive display of the multi-dimensional industry chain map.

8. The automated industrial chain map construction system based on multi-source data fusion according to claim 7, characterized in that, The multi-dimensional tag system construction module specifically includes: The map tag acquisition unit is used to acquire multiple industry chain map tags; A data field acquisition unit is used to acquire data fields corresponding to multiple industry chain map labels; The matching rule acquisition unit is used to acquire the matching rules corresponding to the multiple industry chain map labels; The tag system construction unit is used to integrate multiple industry chain map tags, multiple data fields, and multiple matching rules to build a multi-dimensional tag system covering projects, talents, platforms, institutions, enterprises, papers, patents, and technology needs.

9. The automated industrial chain map construction system based on multi-source data fusion according to claim 7, characterized in that, The relevant data acquisition module specifically includes: The data source access unit is used to periodically and automatically access multiple authoritative data sources according to a preset time period. The multiple authoritative data sources include official websites, professional industry reports, and academic paper databases. The data update unit is used to update and obtain multiple industry chain-related data from multiple authoritative data sources; The data verification unit is used to perform data verification and anomaly handling on multiple industry chain-related data according to preset format rules, and generate multiple industry chain processing data. The data parsing unit is used to parse multiple industry chain processing data using natural language processing technology, extract multiple industry chain keywords and multiple industry chain key information, and generate multiple industry chain key data.

10. The automated industrial chain map construction system based on multi-source data fusion according to claim 7, characterized in that, The multi-dimensional industry chain mapping display module specifically includes: A graphical processing unit is used to graphically process the multi-dimensional industry chain map to generate a tree view, a network view, and a hierarchical view. The basic cycle display unit is used to display the tree view, the mesh view and the hierarchical view in a basic cycle using WebGL or SVG graphics rendering technology. An interactive operation receiving unit is used to receive user interactive operations; The interactive display unit is used to automatically highlight and display information pop-ups based on the interactive operations.

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