CN-122021844-A - Method and system for analyzing inter-city industry association based on industry migration data

CN122021844ACN 122021844 ACN122021844 ACN 122021844ACN-122021844-A

Abstract

The invention discloses an inter-city industry association analysis method and system based on industry migration data, and relates to the technical field of industry association analysis. The method comprises the steps of collecting industry classification data of a first target city and a second target city, constructing an industry chain map according to the industry classification data, adopting a preset structured field model to conduct data field design according to the industry chain map, constructing an industry dynamic data set based on the data field, calculating industry association strength between different target cities according to the industry dynamic data set, and generating an industry association space pattern visualization between different target cities based on the industry association strength. By means of the method, fine grain analysis of links on, in and downstream of an industrial chain can be achieved through fusion of multi-source industrial migration big data, and therefore real-time, multidimensional and operable decision basis is provided for collaborative development of regional industry, quotation and policy establishment.

Inventors

LI YONGSEN
AN XU
LIU YUZU
SHI JUNWEI
LIN ZIYA
DONG KE
HAO SIYU
SUN XIAOYA

Assignees

广东省城乡规划设计研究院科技集团股份有限公司

Dates

Publication Date: 20260512
Application Date: 20250926

Claims (10)

1. An analysis method for the degree of industrial association between cities based on industrial migration data is characterized by comprising the following steps: Acquiring industry classification data of a first target city and a second target city, and constructing an industry chain map according to the industry classification data; Carrying out data field design according to the industrial chain map by adopting a preset structured field model, and constructing an industrial dynamic data set based on the data field; And calculating the industrial association strength between different target cities according to the industrial dynamic data set, and generating an industrial association space pattern visualization between different target cities based on the industrial association strength.
2. The method for analyzing the degree of industrial association between cities based on industrial migration data according to claim 1, wherein the process of constructing an industrial chain map according to the industrial classification data comprises the following steps: Carrying out industry code standardized matching on the industry classification data of the first target city and the industry classification data of the second target city by adopting national economic industry classification rules to obtain a first industry map and a second industry map; And carrying out industrial chain splitting and reconstruction on the first industrial map and the second industrial map according to three links of upstream, midstream and downstream to obtain an industrial chain map.
3. The method for analyzing the degree of industrial association between cities based on industrial migration data according to claim 2, wherein industries in three links of upstream, midstream and downstream are subdivided into multiple stages based on the industrial chain map until the industries in each stage are matched with industry subclass codes in national economic industry classification, and the process comprises the following steps: When the specified industry is definitely divided in the industry and can be matched with the standard national economy industry name, directly matching the classification result; When the specified industry is definitely divided in the industries but cannot be directly matched, text similarity calculation is used for finding the most similar industry in the knowledge base to replace keywords; When the specified industry has no clear division in the industry, the natural language processing technology is used for identifying the industry links or entities from the industry description, matching the national economic industry classification standard and distributing the industry codes.
4. The method for analyzing the degree of industrial relevance between cities based on industrial migration data according to claim 1, wherein the data fields designed according to the industrial chain map by adopting a preset structured field model comprise a plurality of combinations of an industrial transfer statistics field, an enterprise investment statistics field, an enterprise branch office statistics field, an enterprise persistence statistics field, a established enterprise statistics field and an extinction enterprise statistics field.
5. The method for analyzing the degree of industrial association between cities based on industrial migration data according to claim 4, wherein in the process of constructing an industrial dynamic data set based on the data fields, industrial dynamic data set construction is carried out by taking an industrial classification code-administrative division code-time as a core dimension so as to support the association inquiry and analysis of different data field topics.
6. The method for analyzing the degree of industrial association between cities based on industrial migration data according to claim 1, wherein the process of calculating the degree of industrial association between different target cities according to the industrial dynamic data set comprises the following steps: constructing an industry association network among city nodes according to the industry dynamic data set; And calculating the industrial association strength value among cities by using a preset association degree analysis model based on the industrial association network.
7. The method for analyzing the industrial association degree between cities based on the industrial migration data according to claim 6, wherein the association degree analysis model calculates the expression of the industrial association strength value between cities by adopting a weighting algorithm as follows: R[ab]= α×(T[ab]/T[a]) + β×(I[ab]/I[a]) + γ×(B[ab]/B[a]) Wherein R ab represents the industry association strength from city a to city B, T ab represents the number of industry transfer from city a to city B, T a represents the total number of all industry transfer generated by city a, I ab represents the total investment amount from city a to city B, I a represents the total investment amount from city a to all cities, B ab represents the number of branch mechanisms from the enterprise headquarters in city a to the branch mechanisms in city B, B a represents the total number of enterprise headquarters set up by city a, and alpha, beta and gamma each represent industry characteristic weight coefficients.
8. The method for analyzing the degree of industrial relevance between cities based on industrial migration data according to claim 6, wherein the industrial characteristic weight coefficients alpha, beta and gamma are configured differently according to the technical concentration, the capital concentration or the supply chain characteristics of the target industry.
9. The method for analyzing the industrial association degree between cities based on the industrial migration data according to claim 1, wherein an industrial association space pattern visual map between different target cities is generated based on the industrial association strength by adopting a space geographic information platform ArcGIS.
10. An inter-city industry association analysis system based on industry migration data, the system comprising: The data acquisition module is used for acquiring industry classification data of the first target city and the second target city; The map construction module is used for constructing an industrial chain map according to the industry classification data; the field design module is used for carrying out data field design according to the industrial chain map by adopting a preset structured field model and constructing an industrial dynamic data set based on the data field; and the association analysis module is used for calculating the industrial association strength between different target cities according to the industrial dynamic data set and generating an industrial association space pattern visualization diagram between different target cities based on the industrial association strength.

Description

Method and system for analyzing inter-city industry association based on industry migration data Technical Field The invention relates to the technical field of industry association analysis, in particular to an inter-city industry association analysis method and system based on industry migration data. Background Under the background of globalization, regional integration and industry transformation and upgrading, clearly describing industry links (such as transfer, cooperation and complementation) among cities is of great importance for formulating regional collaborative development policies, quotation quote policies, industry layout optimization, industry chain supply chain safety evaluation and the like. Traditional static statistics-based analysis has difficulty capturing complex upstream and downstream collaboration relationships. A more intuitive, fine-grained spatial visualization tool is needed to understand the industry association patterns between cities. The existing industry association analysis is mainly carried out on the relation between the upstream and the downstream of industries in a certain area range, or the factors such as topography, city construction and the like surrounding different cities (most of which are connected in geographic positions), or association objects are used for establishing association indexes so as to obtain city association analysis, the existing association analysis is only carried out on single characteristics (between cities or between the upstream and the downstream of industries), mass data processing of accurate to specific areas and accurate to industry subdivision links cannot be achieved, and particularly under the conditions that the industrial structure difference between different cities is huge and the industrial development degree is obvious, the association analysis or the data accurate display of multiple cities and fine industry scales cannot be carried out rapidly and effectively, further industrial planning and implementation of various measures for city energy level upgrading cannot be guided, and a person skilled in the art is required to solve the corresponding technical problems. Disclosure of Invention In order to overcome the defects of the prior art, the invention aims to provide an inter-city industry association degree analysis method and system based on industry migration data, which can realize fine granularity analysis of links on, in and downstream of an industry chain by fusing multi-source industry migration big data, thereby providing real-time, multidimensional and operable decision basis for collaborative development of regional industry, quotation and policy establishment. In order to achieve the purpose of the invention, the invention adopts the following technical scheme: one of the objects of the present invention is: An analysis method for the degree of industrial association between cities based on industrial migration data, which comprises the following steps: Acquiring industry classification data of a first target city and a second target city, and constructing an industry chain map according to the industry classification data; Carrying out data field design according to the industrial chain map by adopting a preset structured field model, and constructing an industrial dynamic data set based on the data field; And calculating the industrial association strength between different target cities according to the industrial dynamic data set, and generating an industrial association space pattern visualization between different target cities based on the industrial association strength. According to the technical scheme, industry classification data among different cities or urban bands are collected, an industry chain map is built according to the industry classification data, the specific industry chain links can be distinguished for the whole process of data analysis field design, data aggregation processing and visualization, a structured field model is preset for the industry chain map, the structured field model is adopted to conduct data field design according to the industry chain map, the collected industry classification data are further refined and classified, space-time evolution rules of industry transfer, cooperation and persistence relations among cities can be accurately and intuitively revealed, industry association strength among different target cities is calculated according to the industry dynamic data set, an industry association space diagram visualization map among different target cities is generated based on the industry association strength, fine grain analysis of links on, in and downstream of an industry chain can be achieved, and accordingly real-time, multidimensional and operable decision basis is provided for collaborative development, quoting and resource establishment of regional industry. Further, the process of constructing an industry chain map according to the industry classificat