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Park industry automatic analysis method based on big data

An automatic analysis and big data technology, applied in data processing applications, resources, computing, etc., can solve the problems of low efficiency and high labor costs of manual collection enterprises, and achieve the effects of cost reduction, easier operation, and good industry analysis and planning

Pending Publication Date: 2021-11-26
集商网络科技(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings of high labor costs in the prior art, low efficiency and partial generalization of manual collection of the industry and main business of the enterprise, and proposes a park industry automation analysis based on big data method

Method used

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  • Park industry automatic analysis method based on big data
  • Park industry automatic analysis method based on big data
  • Park industry automatic analysis method based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] A method for analyzing industrial park automation based on big data, comprising the following steps:

[0042] Step 1. Obtain the enterprises in the park through the geographical location relationship: use the electronic fence to mark the area under the jurisdiction of the park, and judge whether it is an enterprise in the park according to the relationship between the GPS position of the enterprise and the electronic fence.

[0043] Step 2. Classify the main business and industry of the enterprise: obtain the main products of the enterprise by analyzing the official website of the enterprise and the third-party trading platform;

[0044] Step 3. Compose a relationship diagram between a specific industry and representative products: Draw the relationship table of upstream and downstream products of the specified industry, and expand horizontally to obtain the product list of the specified industry, and associate the company that produces the product with the industry.

...

Embodiment 2

[0053] Step 1. Obtain the enterprise in the park through the enterprise address: judge whether the enterprise belongs to the park by whether the enterprise address contains the complete or abbreviated name of the park.

[0054] Step 2. Classify the main business and industry of the enterprise: obtain the main products of the enterprise by analyzing the official website of the enterprise and the third-party trading platform.

[0055] Step 3. Compose a relationship diagram between a specific industry and representative products: Draw the relationship table of upstream and downstream products of the specified industry, and expand horizontally to obtain the product list of the specified industry, and associate the company that produces the product with the industry.

[0056] Step 4. Cleaning the directory of enterprises in the park: delete irrelevant enterprises such as individual industrial and commercial households and retail stores from the directory of enterprises in the park. ...

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Abstract

The invention discloses a park industry automatic analysis method based on big data, and relates to the technical field of park industry management, and the method comprises the following steps: obtaining a park enterprise through a geographic position relation and / or an enterprise address; classifying the main business and industry of the enterprise according to the obtained enterprise directory, and obtaining the main product of the enterprise; drawing an association diagram of the specific industry and representative products according to the enterprise main product, and formulating a park enterprise directory; cleaning the park enterprise directory, and deleting the irrelevant enterprises from the park enterprise directory; calculating industrial distribution of the park, and obtaining industrial score ranking in the park; according to the obtained industrial score ranking, listing at most 10 industries in the park from high to low, so that the industrial composition of the park is shown. According to the invention, the existing industrial composition of the park is automatically analyzed through big data, the manual acquisition and analysis cost is reduced, the method is more objective and easier to operate, and the park is helped to better carry out industrial analysis and planning.

Description

technical field [0001] The invention belongs to the technical field of park industry management, and in particular relates to a big data-based park industry automation analysis method. Background technique [0002] As an important carrier and component of industrial clusters, industrial parks have attracted more and more attention to the economic effects of industrial parks. By sharing resources, overcoming external negative effects, and promoting the development of related industries, the formation of industrial clusters can be effectively promoted. [0003] At present, the industrial composition in the industrial park is of great significance to the industrial planning and investment promotion planning of the park. The existing industrial composition analysis is mainly carried out by manual data collection without efficient technical means. Due to the large number of enterprises in the park, investment is required A large amount of personnel input leads to high labor cost...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q30/02
CPCG06Q10/0639G06Q30/0201
Inventor 须孟一
Owner 集商网络科技(上海)有限公司