CN-121032272-B - Regional industry development analysis and assessment system

CN121032272BCN 121032272 BCN121032272 BCN 121032272BCN-121032272-B

Abstract

The invention relates to the technical field of data processing, in particular to a regional industry development analysis and evaluation system which comprises the steps of determining industry index data and regional reference characteristics in a region to be identified, summarizing the industry index data and the regional reference characteristics into a multi-element mapping matrix, applying time sequence analysis to the multi-element mapping matrix, extracting regional time distribution trend of attribute description indexes, determining distribution duty ratio of each attribute description index under the regional time distribution trend, sequentially obtaining hierarchical keywords of multiple layers based on the distribution duty ratio of each attribute description index, carrying out regional hierarchy index assignment according to each hierarchical keyword, constructing a regional development model, solving industry evaluation indexes based on derivative mapping relation of the regional development model and the multi-element mapping matrix, carrying out asset state judgment on each industry according to the industry evaluation indexes, outputting early warning information according to asset judgment conditions of each region, and improving accuracy of regional planning and reliability of early warning prompt.

Inventors

JIANG LINJIE
WANG LIN
WANG YINGLI
Guo anhui
ZHANG BAOMING

Assignees

灵犀科技有限公司

Dates

Publication Date: 20260505
Application Date: 20250828

Claims (9)

1. A regional industry development analysis and assessment system, comprising: The data integration module is used for determining industry index data and region reference characteristics in the region to be identified and summarizing the industry index data and the region reference characteristics into a multi-element mapping matrix; The sequence analysis module is used for applying time sequence analysis to the multi-element mapping matrix, extracting attribute description indexes corresponding to each data from the angle of data area distribution and the area time distribution trend of the attribute description indexes, and determining the distribution duty ratio of each attribute description index under the area time distribution trend; the hierarchical analysis module is used for performing hierarchical analysis on the multi-element mapping matrix based on the distribution ratio of each attribute description index, sequentially obtaining hierarchical keywords of a plurality of layers, and performing regional hierarchical index assignment according to each hierarchical keyword; The model construction module is used for constructing a regional development model according to the assignment of the regional hierarchy index and solving the industry evaluation index based on the derivative mapping relation between the regional development model and the multi-element mapping matrix; the model building module is realized by the following steps: Identifying each level node in the regional development model, mapping each level node with a multi-element mapping matrix, and dividing an endogenous latent variable and an exogenous apparent variable corresponding to each level node; According to the mapping relation between the endogenous latent variable and the exogenous variable corresponding to each level node, constructing a linear structural equation of the endogenous latent variable and the exogenous variable; based on the calculation results of the linear structural equations of the internal latent variables and the external apparent variables, screening the regional hierarchy index in the regional development model, and outputting the regional hierarchy index as an industry evaluation index; And the management and control verification module is used for judging the asset state of each industry according to the industry evaluation index, outputting early warning information according to the asset judgment condition of each area, and calling the data of each area from the early warning information to the management and control platform.
2. The regional industry development analysis evaluation system of claim 1, wherein determining industry index data and regional reference features within the region to be identified further comprises: and acquiring text and picture data in the region to be identified, sequentially extracting industry index data and region reference characteristics of the region to be identified, matching the industry index data according to geographic characteristics, economic characteristics, social characteristics and industry characteristics in the region reference characteristics, and splicing the matched data to obtain a multi-element mapping matrix.
3. The regional industry development analysis evaluation system of claim 1, wherein the implementation of the sequence analysis module comprises: Extracting a plurality of attribute description indexes from the multi-element mapping matrix according to a historical data set of regional industry, and generating regional division intervals corresponding to each attribute description index according to the industry economic growth rate, market share and research and development investment corresponding to the attribute description indexes; Clustering by using the values of industry economic growth rate, market share and research and development investment, and taking clustered data as a regional characteristic model for determining the relation between each attribute description index and the regional reference characteristic; Analyzing the regional characteristic model by using a time sequence to generate a regional time distribution trend, and outputting the distribution condition of each attribute description index in the regional time distribution trend to obtain the distribution duty ratio of each attribute description index.
4. The regional industry development analysis evaluation system of claim 3, wherein the implementation of the regional feature model further comprises: initializing each regional division interval, and determining that the median value corresponding to the upper limit value and the lower limit value of each regional division interval is the same as the average value of the regional division intervals; Traversing the data in the regional division sections according to the attribute description indexes corresponding to the regional division sections, and taking the overlapped data as a new regional division section if the data in the adjacent regional division sections are overlapped; and performing cluster analysis on the traversed regional division interval, performing primary clustering by using each attribute description index, performing secondary clustering on the data subjected to primary clustering by using regional reference features, and constructing a regional feature model on the data subjected to secondary clustering.
5. A regional industry development analysis and assessment system according to claim 3, wherein the implementation of the distribution ratio of each attribute description index further comprises: Identifying the regional time distribution trend, and sequentially acquiring the concentration trend degree and the discrete trend degree in the regional time distribution trend; Based on the concentrated trend degree and the discrete trend degree in the regional time distribution trend, extracting trend characteristics, sequentially calculating trend distribution deviation and trend reference deviation of the trend characteristics according to the value types, fitting the trend characteristics according to the slope values of the trend distribution deviation and the trend reference deviation, and taking the data duty ratio corresponding to the fitted trend characteristics as the distribution duty ratio of each attribute description index.
6. The regional industry development analysis evaluation system of claim 1, wherein the analytic hierarchy process module is implemented by: Extracting keywords from the distribution ratio of each attribute description index to obtain each reference keyword; Judging the division level of each reference keyword, and constructing the level keywords under each level according to the multi-element mapping matrix under the corresponding level; and analyzing the hierarchical keywords of the top layer, the middle layer and the bottom layer, determining hierarchical index values of all the layers, and giving the hierarchical index values to the regional hierarchical index according to the weights.
7. The regional industry development analysis and assessment system of claim 6, wherein the analysis of hierarchical keywords for top, middle and bottom layers is implemented by: Extracting industry indexes of each bottom layer, using the industry indexes as bottom layer hierarchical keywords, carrying out semantic analysis on the bottom layer hierarchical keywords according to ambiguities, and setting bottom layer hierarchical index values according to semantic analysis results; calculating cosine similarity under the same distribution duty ratio trend of the hierarchical keywords at the bottom layer to obtain a similarity matrix, sequentially combining the similarity matrix, setting intersection points existing when the similarity matrix is combined as the hierarchical keywords at the middle layer, and setting the average Euclidean distance between the hierarchical keywords at the middle layer and the hierarchical keywords at the corresponding bottom layer as the hierarchical index value of the middle layer; Taking the data with the highest weight in the hierarchical keywords of the middle layer as the hierarchical keywords of the top layer, and setting the average value of the data corresponding to the hierarchical keywords of the top layer as the hierarchical index value of the top layer; and carrying out normalization processing on the hierarchical index values of the top layer, the middle layer and the bottom layer, and carrying out weighted summation on the normalized data according to weights to finish regional hierarchical index assignment.
8. The regional industry development analysis and assessment system of claim 1, wherein the implementation of the management and verification module comprises: image division is carried out on the area to be identified along the data corresponding to the industry evaluation index, and a plurality of sub-image areas under the derivative mapping relation corresponding to the multi-element mapping matrix are obtained; Performing edge extraction on each sub-graph example region to obtain a closed path containing a single legend label, traversing the closed path of each legend label, identifying boundary intersection points of the closed path, and performing superposition analysis on data corresponding to the boundary intersection points to obtain superposition quantity of each sub-graph example region; and classifying the sub-legend areas by using the superposition amount of each sub-example area and the industry evaluation index to obtain sub-example areas with different management priorities, and extracting early warning information according to the management priorities.
9. The system of claim 8 wherein the classification of the sub-legend regions is performed by classifying the sub-legend regions by a superposition amount and an industry evaluation index corresponding to the sub-legend regions, dividing a left adjacent region and a right adjacent region corresponding to the sub-legend regions, normalizing the distance between the left adjacent region and the right adjacent region, and classifying the sub-legend regions as a classification index for classifying the sub-legend regions.

Description

Regional industry development analysis and assessment system Technical Field The invention relates to the technical field of data processing, in particular to a regional industry development analysis and evaluation system. Background Traditional evaluation methods often rely on a single index or data source, such as GDP growth rate, industry growth value, etc., which, although reflecting the development of the regional industry to some extent, often have one-sidedness and limitations. In addition, with the rapid development of technologies such as big data and artificial intelligence, the types and sources of data are more and more diversified, and how to effectively integrate and utilize the data becomes a problem to be solved. The invention discloses an industrial development evaluation method, an industrial development evaluation system and electronic equipment, as disclosed in China patent publication No. CN117634952A, wherein the method comprises the steps of collecting industrial chain enterprises and supply chain enterprise data of target industries in a target area, determining supply and demand relation pairs between the industrial chain enterprises and the supply chain enterprises and branch relations between headquarter enterprises and branch enterprises, constructing an industrial chain supply chain coupling network, wherein the coupling network comprises nodes and edges, the nodes are all enterprises, the edges are the supply and demand relation pairs and the branch relations, establishing an evaluation index system of the coupling network, acquiring a plurality of evaluation indexes according to calculation of the coupling network, and evaluating development of the target industries in the target area according to the plurality of evaluation indexes. The invention discloses a regional industry development evaluation method, a system, equipment and a medium, as disclosed in China patent publication No. CN118917731A, which comprises the steps of S1, acquiring regional industry of the same administrative region level and enterprise information statistical data in regional development, S2, carrying out index evaluation on the regional industry based on the enterprise information statistical data, S3, collecting the index evaluation, carrying out weighted fusion on the index evaluation, and outputting a regional industry development evaluation result. The current industrial development state of the target area can be realized according to the regional industrial development evaluation result. In the prior art, how industries are evaluated under the supply chain structure is considered, and some used evaluation indexes are described, but when the industries in the areas are evaluated, only partial indexes or the performances on the characteristics of the industries are easily considered, the related conditions among the industries are ignored, and moreover, the characteristics of the industries and the characteristics of the areas are greatly different among the areas, so that dynamic analysis is insufficient in the scenes of space quantification and area planning, and early warning information in the area planning is difficult to identify. Disclosure of Invention In order to solve the technical problems, the technical scheme adopted by the invention is that the regional industry development analysis and evaluation system comprises a data integration module, a data analysis module and a data analysis module, wherein the data integration module is used for determining industry index data and regional reference characteristics in a region to be identified and summarizing the industry index data and the regional reference characteristics into a multi-element mapping matrix. The sequence analysis module is used for applying time sequence analysis to the multi-element mapping matrix, extracting attribute description indexes corresponding to each data from the angle of data area distribution, and determining the area time distribution trend of the attribute description indexes, and determining the distribution duty ratio of each attribute description index under the area time distribution trend. And the hierarchical analysis module is used for performing hierarchical analysis on the multi-element mapping matrix based on the distribution duty ratio of each attribute description index, sequentially obtaining hierarchical keywords of a plurality of layers, and performing regional hierarchical index assignment according to each hierarchical keyword. The model construction module is used for constructing a regional development model according to the assignment of the regional hierarchy index and solving the industry evaluation index based on the derivative mapping relation between the regional development model and the multi-element mapping matrix. And the management and control verification module is used for judging the asset state of each industry according to the industry evaluation index, outputting early