Method and system for constructing regional industry map

Abstract

The invention discloses a construction method and system for a regional industry map, and relates to the technical field of regional industry planning and management, and the method comprises the following steps: collecting regional industry related data, carrying out the cleaning, duplicate removal and standardization processing of the collected data, and carrying out the encryption storage of the standardized data; extracting a law and an influence mechanism of industrial space distribution as a basic principle of industrial map construction; the method comprises the following steps: automatically learning a spatial rule and a dependency relationship of industrial distribution by using big data analysis and spatial analysis technologies, fusing a complex network analysis technology, modeling a relationship between industries, and constructing an industrial network model through parameter adjustment and algorithm correction; the industrial network model is converted into a visual industrial map through a visualization technology, and the spatial layout and relation of the regional industry are displayed. According to the method, accurate drawing and visual presentation of the regional industrial map are realized, and scientific support is provided for regional industrial planning and policy making.

Description

Technical Field

[0001] The present invention relates to the technical field of regional industrial planning and management, and in particular to a method and system for constructing a regional industrial map. Background Art

[0002] With the development of regional economic integration, regional industrial maps are increasingly valued by governments and enterprises as an important tool for revealing the current status of industries, predicting future trends, and optimizing industrial layout.

[0003] At present, the construction of industrial maps has problems such as incomplete data acquisition or ineffective use of industrial information data, poor relevance, and the failure to fully consider the cross-relationship between the steel industry and other industries, such as cooperation with logistics, finance, and scientific research institutions, which may affect the understanding of the integrity and complexity of the industrial chain, resulting in poor accuracy of the industrial map. In general, there is still much room for improvement in the construction of industrial maps. Summary of the invention

[0004] The technical task of the present invention is to address the above shortcomings and to provide a method and system for constructing a regional industrial map, which, through automated data processing and modeling technology, can achieve accurate drawing and visual presentation of the regional industrial map, providing scientific support for regional industrial planning and policy formulation.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] A method for constructing a regional industrial map, the implementation of which includes the following steps:

[0007] S1, data collection, preprocessing and encrypted storage;

[0008] Collect regional industry-related data, clean, remove duplicates, and standardize the collected data, and encrypt and store the standardized data;

[0009] S2. Extraction of industrial spatial distribution patterns;

[0010] Extract the laws and influencing mechanisms of industrial spatial distribution as the basic principles for constructing industrial maps;

[0011] S3, analysis and modeling;

[0012] Use big data analysis and spatial analysis technology to automatically learn the spatial laws and dependencies of industrial distribution, integrate complex network analysis technology, model the connections between industries, and construct an industrial network model through parameter adjustment and algorithm correction;

[0013] S4, industry map generation and visualization;

[0014] Through visualization technology, the industrial network model is transformed into an intuitive industrial map to show the spatial layout and connection of regional industries;

[0015] S5. Application analysis and decision support;

[0016] Based on the industrial map, we analyze the status quo, predict the potential and evaluate the competitiveness of regional industries; formulate regional industrial development strategies, and guide targeted investment promotion, industrial optimization and upgrading, and policy formulation.

[0017] This method uses systematic and data-based means to accurately draw regional industrial maps, providing a scientific basis for regional industrial planning, policy formulation and investment attraction.

[0018] Furthermore, the step S1 is specifically:

[0019] Collect or access regional industry-related data from multiple sources, including industry big data platforms, government statistics, and corporate annual reports. The data includes full sample information on corporate spatial distribution, production operations, product services, technological innovation, and bidding;

[0020] The collected data is cleaned, deduplicated, and standardized to ensure data quality and consistency, and the standardized data is encrypted and stored.

[0021] Furthermore, the step S2 extracts the laws and influencing mechanisms of industrial spatial distribution based on industrial economics and economic geography theories.

[0022] Furthermore, in step S4, the visualization technology includes a gravitational layout algorithm.

[0023] Furthermore, in step S4, the industrial map is dynamically adjusted according to data updates in different time periods to reflect the temporal changes and structural evolution trends of regional industries.

[0024] The present invention also claims protection for a construction system of a regional industrial map, comprising:

[0025] The data collection, preprocessing and encrypted storage module is used to collect regional industry-related data, clean, remove duplicates and standardize the collected data, and encrypt and store the standardized data;

[0026] The module for extracting the laws of industrial spatial distribution is used to extract the laws and influencing mechanisms of industrial spatial distribution as the basic principle for constructing industrial maps.

[0027] The analysis and modeling module uses big data analysis and spatial analysis technology to automatically learn the spatial laws and dependencies of industrial distribution, integrate complex network analysis technology, model the connections between industries, and construct an industrial network model through parameter adjustment and algorithm correction;

[0028] The industrial map generation and visualization module is used to transform the industrial network model into an intuitive industrial map through visualization technology to display the spatial layout and connection of regional industries;

[0029] Application analysis and decision support module, used to analyze the status quo, predict potential and evaluate competitiveness of regional industries based on industrial maps; formulate regional industrial development strategies, guide targeted investment promotion, industrial optimization and upgrading and policy formulation;

[0030] The system realizes the construction of regional industrial map through the above-mentioned construction method of regional industrial map.

[0031] Furthermore, the data collection, preprocessing and encryption storage module includes: a data acquisition and access unit; a data processing unit; a data screening and classification unit; a data encryption unit; a data transmission unit; a data storage unit and a central processing unit.

[0032] Furthermore, the module for extracting the industrial spatial distribution law includes: a data receiving unit, a data sorting unit, and a standard data storage unit.

[0033] The present invention also claims protection for a device for constructing a regional industrial map, comprising: at least one memory and at least one processor;

[0034] The at least one memory is used to store a machine-readable program;

[0035] The at least one processor is used to call the machine-readable program to implement the method described in any one of claims 1 to 5.

[0036] The present invention also claims protection for a computer-readable medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement any of the methods of claims 1 to 5.

[0037] Compared with the prior art, the method and system for constructing a regional industrial map of the present invention has the following advantages:

[0038] Beneficial effects:

[0039] This technical solution supports data updates based on different time periods, and can dynamically adjust the industrial map to promptly reflect the temporal changes and structural evolution trends of regional industries. This strong real-time feature allows decision makers to adjust development strategies according to the latest industrial dynamics, improving the timeliness and pertinence of decisions. Based on the current situation analysis, potential prediction and competitiveness assessment of the industrial map, the present invention can provide a scientific basis for regional industrial development. By identifying the key nodes and weak links in the industrial chain, it can guide precise investment promotion, optimize industrial layout, and promote industrial transformation and upgrading. At the same time, it also provides strong support for the government to formulate industrial development policies and optimize resource allocation.

[0040] The regional industrial map construction method proposed in this technical solution can be flexibly applied to other regions of different sizes and types. By adjusting data collection and preprocessing, modeling parameters and other links, it can adapt to the industrial characteristics and development needs of different regions, and has wide applicability and scalability. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a diagram of the implementation process of the construction method of the regional industrial map provided by the embodiment of the present invention;

[0042] Figure 2 It is a flowchart of a method for constructing a regional industrial map provided by an embodiment of the present invention;

[0043] Figure 3 It is a flowchart of data collection, preprocessing and encrypted storage implementation provided by an embodiment of the present invention;

[0044] Figure 4 It is a flowchart of the implementation process of extracting the industrial spatial distribution law provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0046] An embodiment of the present invention provides a method for constructing a regional industry map, and the implementation of the method includes the following steps:

[0047] S1, data collection, preprocessing and encrypted storage;

[0048] Collect or access regional industry-related data from multiple sources such as industry big data platforms, government statistics, and corporate annual reports, including full sample information on corporate spatial distribution, production operations, product services, technological innovation, and bidding. Clean, de-duplicate, and standardize the collected data to ensure data quality and consistency, and encrypt and store standardized data.

[0049] S2. Extraction of industrial spatial distribution patterns;

[0050] Based on the theories of industrial economics and economic geography, the laws and influencing mechanisms of industrial spatial distribution are extracted as the basic principles for constructing industrial maps.

[0051] S3, analysis and modeling;

[0052] Use big data analysis and spatial analysis technology to automatically learn the spatial patterns and dependencies of industrial distribution, integrate complex network analysis technology, model the connections between industries, and construct an industrial network model through parameter adjustment and algorithm correction.

[0053] S4, industry map generation and visualization;

[0054] Through visualization technologies such as gravity layout algorithms, the industrial network model is transformed into an intuitive industrial map to display the spatial layout and connections of regional industries. The industrial map is dynamically adjusted based on data updates in different time periods to reflect the temporal changes and structural evolution trends of regional industries.

[0055] S5. Application analysis and decision support;

[0056] Based on the industrial map, we analyze the status quo, predict the potential and evaluate the competitiveness of regional industries; formulate regional industrial development strategies, and guide targeted investment promotion, industrial optimization and upgrading, and policy formulation.

[0057] This method uses systematic and data-based means to accurately draw regional industrial maps, providing a scientific basis for regional industrial planning, policy formulation and investment attraction.

[0058] The embodiment of the present invention further provides a system for constructing a regional industrial map, including:

[0059] 1. Data collection, preprocessing and encrypted storage module, used to collect regional industry-related data, clean, deduplicate and standardize the collected data, and encrypt and store the standardized data; including: data collection and access unit; data processing unit; data screening and classification unit; data encryption unit; data transmission unit; data storage unit and central processing unit.

[0060] 2. The module for extracting the laws of industrial spatial distribution is used to extract the laws and influencing mechanisms of industrial spatial distribution as the basic principle for constructing industrial maps; it includes: data receiving unit, data sorting unit, and standard data storage unit.

[0061] 3. Analysis and modeling module, which uses big data analysis and spatial analysis technology to automatically learn the spatial patterns and dependencies of industrial distribution, integrate complex network analysis technology, model the connections between industries, and construct an industrial network model through parameter adjustment and algorithm correction.

[0062] 4. Industry map generation and visualization module, which is used to transform the industry network model into an intuitive industry map through visualization technology, and display the spatial layout and connection of regional industries.

[0063] 5. Application analysis and decision support module, used to analyze the status quo, predict potential and evaluate competitiveness of regional industries based on industrial maps; formulate regional industrial development strategies, guide targeted investment promotion, industrial optimization and upgrading, and policy formulation.

[0064] The process of constructing the regional industrial map of the system is as follows:

[0065] S1. Data collection, preprocessing and encrypted storage module collects or accesses regional industry-related data from multiple sources such as industry big data platforms, government statistics, and corporate annual reports, including full sample information such as corporate spatial distribution, production operations, product services, technological innovation, and bidding. The collected data is cleaned, deduplicated, and standardized to ensure data quality and consistency, and the standardized data is encrypted and stored.

[0066] S2. The module for extracting the laws of industrial spatial distribution is based on the theories of industrial economics and economic geography. It extracts the laws and influencing mechanisms of industrial spatial distribution as the basic principles for constructing industrial maps.

[0067] S3. The analysis and modeling unit uses big data analysis and spatial analysis techniques to automatically learn the spatial patterns and dependencies of industrial distribution, integrates complex network analysis techniques, models the connections between industries, and constructs an industrial network model through parameter adjustment and algorithm correction.

[0068] S4, the industrial map generation and visualization module uses visualization technologies such as the gravity layout algorithm to transform the industrial network model into an intuitive industrial map to display the spatial layout and connections of regional industries. According to data updates in different time periods, the industrial map is dynamically adjusted to reflect the temporal changes and structural evolution trends of regional industries.

[0069] S5. The application analysis and decision support module conducts status analysis, potential forecasting and competitiveness assessment of regional industries based on the industrial map; formulates regional industrial development strategies, guides targeted investment promotion, industrial optimization and upgrading, and policy formulation.

[0070] An embodiment of the present invention further provides a device for constructing a regional industrial map, comprising: at least one memory and at least one processor;

[0071] The at least one memory is used to store a machine-readable program;

[0072] The at least one processor is used to call the machine-readable program to implement the method for constructing the regional industrial map described in the above embodiment.

[0073] The embodiment of the present invention further provides a computer-readable medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the processor executes the method for constructing a regional industrial map described in the above embodiment. Specifically, a system or device equipped with a storage medium can be provided, on which software program codes for implementing the functions of any of the above embodiments are stored, and a computer (or CPU or MPU) of the system or device reads and executes the program code stored in the storage medium.

[0074] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0075] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0076] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0077] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or written to a memory provided in an expansion unit connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or the expansion unit is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0078] The present invention is shown and described in detail above through the accompanying drawings and preferred embodiments. However, the present invention is not limited to these disclosed embodiments. Based on the above multiple embodiments, those skilled in the art can know that the code review methods in the above different embodiments can be combined to obtain more embodiments of the present invention, and these embodiments are also within the protection scope of the present invention.

Claims

1. A method for constructing a regional industrial map, characterized in that: The implementation of this method includes the following steps: S1, data collection, preprocessing and encrypted storage; Collect regional industry-related data, clean, remove duplicates, and standardize the collected data, and encrypt and store the standardized data; S2. Extraction of industrial spatial distribution patterns; Extract the laws and influencing mechanisms of industrial spatial distribution as the basic principles for constructing industrial maps; S3, analysis and modeling; Use big data analysis and spatial analysis technology to automatically learn the spatial laws and dependencies of industrial distribution, integrate complex network analysis technology, model the connections between industries, and construct an industrial network model through parameter adjustment and algorithm correction; S4, industry map generation and visualization; Through visualization technology, the industrial network model is transformed into an intuitive industrial map to show the spatial layout and connection of regional industries; S5. Application analysis and decision support; Based on the industrial map, we analyze the status quo, predict the potential and evaluate the competitiveness of regional industries; formulate regional industrial development strategies, and guide targeted investment promotion, industrial optimization and upgrading, and policy formulation.

2. The method for constructing a regional industrial map according to claim 1, characterized in that: The step S1 is specifically: Collect or access regional industry-related data from multiple sources, including industry big data platforms, government statistics, and corporate annual reports. The data includes full sample information on corporate spatial distribution, production operations, product services, technological innovation, and bidding; The collected data is cleaned, deduplicated, and standardized to ensure data quality and consistency, and the standardized data is encrypted and stored.

3. The method for constructing a regional industrial map according to claim 1, characterized in that: The step S2 extracts the laws and influencing mechanisms of industrial spatial distribution based on industrial economics and economic geography theories.

4. The method for constructing a regional industrial map according to claim 1, characterized in that: In step S4, the visualization technology includes a gravitational layout algorithm.

5. A method for constructing a regional industrial map according to claim 1 or 4, characterized in that: The step S4 dynamically adjusts the industrial map according to data updates in different time periods to reflect the temporal changes and structural evolution trends of regional industries.

6. A construction system for a regional industrial map, characterized in that: include: The data collection, preprocessing and encrypted storage module is used to collect regional industry-related data, clean, remove duplicates and standardize the collected data, and encrypt and store the standardized data; The module for extracting the laws of industrial spatial distribution is used to extract the laws and influencing mechanisms of industrial spatial distribution as the basic principle for constructing industrial maps. The analysis and modeling module uses big data analysis and spatial analysis technology to automatically learn the spatial laws and dependencies of industrial distribution, integrate complex network analysis technology, model the connections between industries, and construct an industrial network model through parameter adjustment and algorithm correction; The industrial map generation and visualization module is used to transform the industrial network model into an intuitive industrial map through visualization technology to display the spatial layout and connection of regional industries; Application analysis and decision support module, used to analyze the status quo, predict potential and evaluate competitiveness of regional industries based on industrial maps; formulate regional industrial development strategies, guide targeted investment promotion, industrial optimization and upgrading and policy formulation; The system realizes the construction of the regional industrial map through the construction method of the regional industrial map described in any one of claims 1 to 7.

7. The construction system of a regional industrial map according to claim 1 is characterized in that: The data collection, preprocessing and encryption storage module includes: a data acquisition and access unit; a data processing unit; a data screening and classification unit; a data encryption unit; a data transmission unit; a data storage unit and a central processing unit.

8. The construction system of a regional industrial map according to claim 1 is characterized in that: The module for extracting the industrial spatial distribution law includes: a data receiving unit, a data sorting unit, and a standard data storage unit.

9. A device for constructing a regional industrial map, characterized in that: include: at least one memory and at least one processor; The at least one memory is used to store a machine-readable program; The at least one processor is used to call the machine-readable program to implement the method described in any one of claims 1 to 5.

10. A computer-readable medium, characterized in that The computer readable medium stores computer instructions, and when the computer instructions are executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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