Visual value evaluation method and system for regional industry chain

Abstract

The invention relates to the technical field of data processing, and provides a visual value evaluation method and system for a regional industrial chain, and the method comprises the steps: obtaining link nodes of the industrial chain, and node value factors matched with associated nodes; acquiring associated enterprise information corresponding to the link node according to the node value factor; displaying the node value factors and the associated enterprise pheromones through a visual interface; acquiring a competition subject analysis model matched with the link node; and acquiring competition subject data, analyzing the competition subject according to the competition subject analysis model, and updating the associated enterprise information and the node value factors according to a decomposition result. And comprehensive analysis of an industrial chain can be assisted.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and system for visualizing the value assessment of a regional industrial chain. Background Art

[0002] In the context of globalization, industrial chain value analysis has become an important factor in corporate competitiveness. It involves a comprehensive review of the value flow, structure and potential of the entire industrial chain, and is a key link in optimizing resource allocation, improving operational efficiency and economic benefits. Industrial chain value analysis is crucial to the development of enterprises. By deeply exploring the value potential of the industrial chain, enterprises can enhance their competitiveness, cope with market risks, and promote the innovative development of the entire industrial chain. In the future, as competition in the global market intensifies and uncertainty increases, industrial chain value analysis will be more valued and used by enterprises.

[0003] The essence of the industrial chain is to describe a group of enterprises with some kind of internal connection. There are a large number of upstream and downstream relationships and mutual value exchanges in the industrial chain. The upstream links deliver products or services to the downstream links, and the downstream links feedback information to the upstream links.

[0004] In the prior art, the industrial chain value analysis model generally obtains a specific unique result after analyzing a certain industrial chain, such as analyzing the strong links and weak links in the industrial chain. However, in the application process of industrial chain value analysis, it is mostly necessary to comprehensively consider multiple related factors in order to clarify the investment or adjustment direction of the industrial chain. Summary of the invention

[0005] The purpose of this application is to provide a method and system for visualizing the value assessment of a regional industrial chain, which can assist in the comprehensive analysis of the industrial chain.

[0006] The above application objectives of this application are achieved through the following technical solutions: In the first aspect, the present application provides a method for visualizing the value assessment of a regional industrial chain, which adopts the following technical solution.

[0007] A method for visualizing the value of a regional industrial chain, the method comprising: Obtaining the link nodes of the industrial chain and the node value factors of the associated node matches; Obtaining the associated enterprise information corresponding to the link node according to the node value factor; Displaying the node value factors and associated enterprise pheromones through a visual interface; Acquire a competitive subject analysis model matching the link node; Obtain competitor data, analyze the competitor based on the competitor analysis model, and update the associated enterprise information and node value factors based on the decomposition results.

[0008] In a preferred embodiment, the associated enterprise information includes the name of the associated enterprise and the value ratio of the associated enterprise.

[0009] In a preferred embodiment, the node value factor includes a price increase factor added to the link node and industry information matching the price increase factor.

[0010] In a preferred embodiment, the similarity between the competitor and the associated enterprises is analyzed by an enterprise classification model, and the associated enterprise information and node value factors are updated based on the similarity and the value ratio between the competitor and the associated enterprises.

[0011] In a preferred embodiment, updating the associated enterprise information according to the similarity and the value ratio between the competitor and the associated enterprise includes: R=

[0012] Among them, R is the value gain, λ is the similarity, m is the gain constant, Ir is the value ratio, n is the number of associated enterprises of the link node, and V is the regional industry stability factor of the associated enterprise; The value gain is displayed together with the current associated enterprise information to update the associated enterprise information.

[0013] In a preferred embodiment, updating the node value factor according to the similarity and the value ratio of the competing entity to the associated enterprise includes: The node value factor includes the node floating value of the newly added price increase factor of the link node. When the competing entity does not exist, the node floating value is zero. When a competing entity exists, the node floating value is, S=f(λ)* ; Wherein, S is the node floating value, and f(λ) is the calculated similarity value of the link node.

[0014] In a preferred embodiment, the calculation method of f(λ) is: The average similarity between the associated enterprises of the link node and the competing entity is obtained, and the value of f(λ) is the average similarity of the associated enterprises whose similarity is greater than the average similarity.

[0015] On the second aspect, the visual value assessment system of a regional industrial chain provided in this application adopts the following technical solution.

[0016] A visual value assessment system for a regional industrial chain, characterized in that the system comprises: A node value acquisition module is used to acquire the link nodes of the industrial chain and the node value factors of the associated node matches; A node enterprise acquisition module is used to obtain the associated enterprise information corresponding to the link node according to the node value factor; An industry chain visualization module is used to display the node value factors and associated enterprise pheromones through a visualization interface; The competitive analysis update module is used to obtain a competitive entity analysis model that matches the link node; at the same time, it obtains competitive entity data, analyzes the competitive entity according to the competitive entity analysis model, and updates the related enterprise information and node value factors according to the decomposition results.

[0017] In a preferred embodiment, the competitive analysis update module analyzes the similarity between the competitor and the associated enterprises through an enterprise classification model, and updates the associated enterprise information and node value factors according to the similarity and the value ratio between the competitor and the associated enterprises.

[0018] In a preferred embodiment, the competitive analysis update module updates the associated enterprise information according to the similarity and the value ratio between the competitor and the associated enterprise in the following manner: R=

[0019] Among them, R is the value gain, λ is the similarity, m is the gain constant, Ir is the value ratio, n is the number of associated enterprises of the link node, and V is the regional industry stability factor of the associated enterprise; The value gain is displayed together with the current associated enterprise information to update the associated enterprise information.

[0020] In summary, the present application includes the following beneficial technical effects: the present application scheme first visualizes the node value factors and associated enterprise pheromones of each link node. When there is a competing entity in the area, by analyzing the similarity and value analysis between the competing entity and each associated enterprise in the link node, the impact data of the competing entity on each associated enterprise and node value factor is obtained, and the associated enterprise information and node value factors are updated, thereby assisting in the comprehensive analysis of the industrial chain when there is a competing entity. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of the visual value assessment method of the regional industrial chain in the embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0023] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0024] This application is applied to the value analysis of a single industrial chain in a region. Due to the rapid development of current science and technology, the formation of regional industrial chains has become the main evolution direction of the current economic market. The acquisition and monitoring of industrial chain data in the region has become the main means of controlling the development of regional industrial chains. This application is mainly used to solve the problem of external competitive entities affecting the current industrial chain structure data, and to make partial estimates of the changes in the industrial chain data based on the competitive entities to assist in the comprehensive analysis of the industrial chain.

[0025] The external competitive entity may be a newly introduced production entity enterprise, research and development entity enterprise, service entity enterprise or sales entity enterprise, and the entity enterprise includes but is not limited to enterprises that have moved into the area and enterprises that have not moved into the area.

[0026] Reference Figure 1 The present application provides a method for visualizing the value of a regional industrial chain, including the following steps: Step S100: obtaining the link nodes of the industrial chain and the node value factors of the associated node matches; Step S200: acquiring the associated enterprise information corresponding to the link node according to the node value factor; Step S300: displaying the node value factors and associated enterprise pheromones through a visual interface; Step S400: obtaining a competitive subject analysis model matching the link node; Step S500: Acquire competitor data, analyze the competitor according to the competitor analysis model, and update the associated enterprise information and node value factors according to the decomposition results.

[0027] The industrial chain is composed of multiple link nodes. For example, the link nodes of the coal industrial chain include coal mining link nodes, coal washing link nodes, and coal transportation link nodes. In this application, the industrial chain can be a complete industrial chain, or it can only include some link nodes in the industrial chain. When an industrial chain is generated, the value corresponding to the link nodes of the industrial chain can be analyzed based on the link node enterprises and industry contributions. That is, after the industrial chain is generated, the value of its link nodes is also basically determined. The node value factor described in step S100 represents the newly added value information generated at different link nodes as the industrial chain links flow, such as the newly added transportation value at the coal transportation link node, the newly added design value at the design link node, etc.

[0028] In a preferred example, the node value factor includes the newly added price increase factor of the link node, the node floating value of the price increase factor, and the industry information matched with the price increase factor. The price increase factor indicates the category name of the newly added value, and the node floating value indicates the floating value of the current price increase factor caused by changes in the market where the link node is located.

[0029] In step S200, the associated enterprise information includes the name of the associated enterprise and the value ratio of the associated enterprise. There are one or more associated enterprises corresponding to a link node. For example, the associated enterprises in the production and processing link include all enterprises producing similar products in the region. The associated enterprise value ratio is obtained based on the comparison of selected value information. The selected value information includes any one of operating income, operating cost, net profit, and operating profit. The operating income, operating cost, net profit, and operating profit are pre-stored in the system. When industrial chain analysis is required, the selected value information is manually selected from any one of operating income, operating cost, net profit, and operating profit to generate the associated enterprise value ratio. The value ratio represents the market share of the associated enterprise in the current link node. For example, the value ratio of enterprise A is 45%, the value ratio of enterprise B is 12%, the value ratio of enterprise C is 28%, and the value ratio of enterprise D is 15%.

[0030] In the process of visual interface display, the link nodes are displayed linearly according to the industrial chain process, and the node value factors and related enterprise information are displayed at the corresponding link node positions.

[0031] Among them, market changes at the link nodes include the emergence of competing entities and changes in information of currently associated enterprises at the link nodes.

[0032] In one embodiment, when a competitor appears, it means that an external enterprise is involved in the industrial chain of the current region. At this time, the industrial chain needs to be analyzed based on the visualization interface. The system pre-stores a competitor analysis model, and the competitor information is entered into the system. The competitor analysis model performs analysis based on the entered competitor information. The competitor analysis model analyzes the competitor information and updates the associated enterprise information and node value factors in the following manner.

[0033] First, the competitive entity information includes the link nodes in which the competitive entity is involved. The competitive entity analysis model includes an enterprise classification model. The enterprise classification model is used to analyze the similarity between the competitive entity and the related enterprises in the Susonghu link node, and the related enterprise information and node value factors are updated based on the similarity and the value ratio between the competitive entity and the related enterprises.

[0034] Updating the associated enterprise information according to the similarity and the value ratio between the competitor and the associated enterprise includes: R=

[0035] Among them, R is the value gain, λ is the similarity, m is the gain constant, Ir is the value ratio, n is the number of associated enterprises of the link node, and V is the regional industry stability factor of the associated enterprise; The value gain is displayed together with the current associated enterprise information to update the associated enterprise information.

[0036] The industry stability factor is obtained by the system based on the changes in the associated enterprise information of the link node within a preset time, which indicates the size of the changes in the associated enterprise information. When setting the value of the industry stability factor, the value can be obtained through the multi-dimensional changes of the associated enterprises. For example, the change in the number of associated enterprises is used as the basis for the value of the industry stability factor, and the threshold range of the change in the number of associated enterprises within the preset time is set, and each threshold range corresponds to a different value of the industry stability factor. For example, the total operating amount of the associated enterprises is used as the basis for the value of the industry stability factor, and the threshold range of the increase in the total operating amount is set, and each threshold range corresponds to a different value of the industry stability factor. When selecting the industry stability factor, the items that affect the value of the industry stability factor are manually selected, that is, the change in the number of associated enterprises or the total operating amount of the associated enterprises are selected. It should be noted that the application does not specifically limit the items that affect the value of the industry stability factor, as long as it can represent the stability of the link node.

[0037] Updating the node value factor according to the similarity and the value ratio of the competing entity to the associated enterprise includes: The node value factor includes the node floating value of the newly added price increase factor of the link node. When the competing entity does not exist, the node floating value is zero. When a competing entity exists, the node floating value is, S=f(λ)* ; Wherein, S is the node floating value, and f(λ) is the calculated similarity value of the link node.

[0038] Among them, the method of analyzing enterprise similarity based on the enterprise classification model is a mature solution in the prior art and will not be described in detail in this application.

[0039] In another embodiment, when the market where the link node is located changes and the current associated enterprise information of the link node changes, the node floating value is no longer displayed, and the associated enterprise information is updated in real time.

[0040] By adopting the above technical solution, the node value factors and associated enterprise pheromones of each link node are first visualized. When there is a competing entity in the area, the impact data of the competing entity on each associated enterprise and node value factor is obtained by analyzing the similarity and value analysis between the competing entity and each associated enterprise in the link node, and the associated enterprise information and node value factors are updated, thereby assisting the comprehensive analysis of the industrial chain when there is a competing entity.

[0041] The present application also provides a visual value assessment system for a regional industrial chain, the system comprising a node value acquisition module, a node enterprise acquisition module, an industrial chain visualization module and a competitive analysis update module.

[0042] The node value acquisition module is used to obtain the link nodes of the industrial chain and the node value factors of the associated node matching.

[0043] The node enterprise acquisition module is used to obtain the associated enterprise information corresponding to the link node based on the node value factor.

[0044] The industry chain visualization module is used to display the node value factors and related enterprise pheromones through a visualization interface.

[0045] The competitive analysis update module is used to obtain a competitive entity analysis model that matches the link node; at the same time, it obtains competitive entity data, analyzes the competitive entity according to the competitive entity analysis model, and updates the related enterprise information and node value factors according to the decomposition results.

[0046] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system module described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0047] In the several embodiments provided in this application, it should be understood that the disclosed system modules can be implemented in other ways. For example, the system embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0048] The modules described as separate components may or may not be physically separated, and the components as functional modules may or may not be physical units, that is, they may be located in one place, or may be distributed on multiple physical structures. In particular, the industrial chain visualization module can be configured on a central server or on the enterprise's information terminal. Enterprises in the region can perform industrial chain analysis based on the industrial chain visualization module, which can not only provide analysis data errors but also make self-industry adjustments based on the analysis results.

[0049] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0050] The embodiment of the present application also discloses a visual value assessment device for a regional industrial chain, which is mainly composed of one or more memories and one or more processors: The memory is used to store instructions; A processor is used to call and run instructions from a memory to execute the visual value assessment method of the regional industrial chain as described in the above content.

[0051] It can be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories.

[0052] The nonvolatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

[0053] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDRSDRAM), enhanced synchronous DRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus DRAM.

[0054] The processor mentioned in any of the above places may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the above acceptance method. The processor and the memory may be decoupled and respectively arranged on different physical devices, and connected by wire or wireless means to realize the respective functions of the processor and the memory, so as to support the chip of the device to realize various functions in the above embodiments. Alternatively, the processor and the memory may also be coupled on the same device.

[0055] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a computer-readable storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0056] In the technical solution of the present application, the selected value information and industry stability factors can be manually selected from different data to provide assistance for the comprehensive analysis of the value of the industrial chain, especially when there are competing entities, it can assist in analyzing the status changes of the industrial chain.

Claims

1. A visual value assessment method for a regional industrial chain, characterized in that: The method comprises: Obtaining the link nodes of the industrial chain and the node value factors of the associated node matches; Obtaining the associated enterprise information corresponding to the link node according to the node value factor; Displaying the node value factors and associated enterprise pheromones through a visual interface; Acquire a competitive subject analysis model matching the link node; Obtain competitor data, analyze the competitor based on the competitor analysis model, and update the associated enterprise information and node value factors based on the decomposition results.

2. According to claim 1, a method for visualizing the value of a regional industrial chain is characterized in that: The associated enterprise information includes the name of the associated enterprise and the value ratio of the associated enterprise.

3. The method for visualizing the value of a regional industrial chain according to claim 2 is characterized in that: The node value factors include the price increase factors added at the link nodes and the industry information matching the price increase factors.

4. According to claim 1, the visual value assessment method of a regional industrial chain is characterized in that: The similarity between the competing entity and the associated enterprise is analyzed through an enterprise classification model, and the associated enterprise information and node value factors are updated according to the similarity and the value ratio between the competing entity and the associated enterprise.

5. The method for visualizing the value assessment of a regional industrial chain according to claim 4 is characterized in that: Updating the associated enterprise information according to the similarity and the value ratio between the competitor and the associated enterprise includes: R= Among them, R is the value gain, λ is the similarity, m is the gain constant, Ir is the value ratio, n is the number of associated enterprises of the link node, and V is the regional industry stability factor of the associated enterprise; The value gain is displayed together with the current associated enterprise information to update the associated enterprise information.

6. The method for visualizing the value assessment of a regional industrial chain according to claim 5 is characterized in that: Updating the node value factor according to the similarity and the value ratio of the competing entity to the associated enterprise includes: The node value factor includes the node floating value of the newly added price increase factor of the link node. When the competing entity does not exist, the node floating value is zero. When a competing entity exists, the node floating value is, S=f(λ)* ; Wherein, S is the node floating value, and f(λ) is the calculated similarity value of the link node.

7. The method for visualizing the value assessment of a regional industrial chain according to claim 6 is characterized in that: The calculation method of f(λ) is: The average similarity between the associated enterprises of the link node and the competing entity is obtained, and the value of f(λ) is the average similarity of the associated enterprises whose similarity is greater than the average similarity.

8. A visual value assessment system for regional industrial chains, characterized in that: The system comprises: A node value acquisition module is used to acquire the link nodes of the industrial chain and the node value factors of the associated node matches; A node enterprise acquisition module is used to obtain the associated enterprise information corresponding to the link node according to the node value factor; An industry chain visualization module is used to display the node value factors and associated enterprise pheromones through a visualization interface; The competitive analysis update module is used to obtain a competitive entity analysis model that matches the link node; at the same time, it obtains competitive entity data, analyzes the competitive entity according to the competitive entity analysis model, and updates the related enterprise information and node value factors according to the decomposition results.

9. A visual value assessment system for a regional industrial chain according to claim 8, characterized in that: The competitive analysis update module analyzes the similarity between the competitor and the associated enterprises through an enterprise classification model, and updates the associated enterprise information and node value factors according to the similarity and the value ratio between the competitor and the associated enterprises.

10. A visual value assessment system for a regional industrial chain according to claim 9, characterized in that: The competitive analysis update module updates the associated enterprise information according to the similarity and the value ratio between the competitor and the associated enterprise in the following manner: R= Among them, R is the value gain, λ is the similarity, m is the gain constant, Ir is the value ratio, n is the number of associated enterprises of the link node, and V is the regional industry stability factor of the associated enterprise; The value gain is displayed together with the current associated enterprise information to update the associated enterprise information.

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