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Data-driven green design knowledge pushing method

A design knowledge, data-driven technology, applied in the field of knowledge push, can solve problems such as lack of diversity and personalization, and inaccurate recommended information.

Active Publication Date: 2021-09-03
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing system has the problem of lack of diversity and personalization in the process of knowledge recommendation, which leads to inaccurate recommended information

Method used

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  • Data-driven green design knowledge pushing method
  • Data-driven green design knowledge pushing method
  • Data-driven green design knowledge pushing method

Examples

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Embodiment 1

[0071] A data-driven green design knowledge push method, comprising the following steps:

[0072]Step 1. Green design is to deal with the resource consumption and environmental impact caused by the product while considering its function, quality and cost during the life cycle of the product, so that the product can not only guarantee its use function, but also consider more Each environmental index meets the requirements of green design and minimizes the negative total impact on the environment, fully considers the environmental attributes of the product, and minimizes the environmental emissions of the product as much as possible. The mining of green design knowledge provides data support for knowledge push, all from web crawling;

[0073] The mining of green design knowledge mainly includes the crawling of paper information, using the Selenium framework, by simulating the operation behavior of the browser, entering the corresponding keyword entries in the program, performing...

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Abstract

The invention discloses a data-driven green design knowledge pushing method, and belongs to the technical field of knowledge pushing. The invention discloses a data-driven green design knowledge pushing method. The method comprises the steps of mining green design knowledge, constructing a design knowledge set feature word weight matrix, constructing a designer dominant model, constructing a designer-knowledge behavior matrix, constructing a designer implicit model, constructing a designer demand model and pushing green design knowledge. The problem that recommended information is inaccurate due to the fact that an existing system lacks diversity and personalization in the knowledge recommendation process is solved.

Description

technical field [0001] The invention relates to the technical field of knowledge push, in particular to a data-driven green design knowledge push method. Background technique [0002] In the process of development, enterprises are faced with various pressures among industries, and they need to continuously improve product quality under the constraints of laws and regulations, meet ever-changing customer needs, and shorten the response time to the rapidly changing market. Developing new products and upgrading existing products is a knowledge-intensive process that requires applying, sharing and pushing necessary knowledge to improve the efficiency of knowledge reuse in the product development process. New green products meet the requirements of the times and attract customers to buy, requiring designers to undertake the important task of green design. In the context of big data, how to establish an effective connection between designers and green design knowledge, so that de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/951
CPCG06F16/9535G06F16/951Y02D10/00
Inventor 张雷朱宽宽李子琦邵守田
Owner HEFEI UNIV OF TECH