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"Textile Light" Needs More Scientific And Technological Innovation

2014/12/11 15:28:00 21

"Textile Light"Science And TechnologyInnovation

In recent years, the independent innovation ability of China's textile and garment industry is relatively weak, and the endogenous driving force of innovation driven and the supporting role of human resources are still insufficient.

In many industry circles, the textile industry is still facing the urgent situation of pformation, development, quality and efficiency. A series of serious external risks and increasingly prominent internal contradictions must be solved fundamentally through comprehensive deepening reform, and the task is very arduous.

Recently, the China Textile Industry Federation awarded the "textile light" 2014 China Textile Industry Federation science and Technology Education Award conference, focusing on the China Textile Industry Federation's scientific and technological progress award, the China Textile Industry Federation textile education and teaching achievement award and the "textile light" Teacher Award, the student award and the China Textile Industry Federation's knitting underwear Innovation Award.

Among them, 2014 China Textile Industry Federation's science and technology progress award award project 135 items: first prize project has 15 items, two prize items 47, three and so on 73 items.

The textile industry education and teaching achievement award of China Federation of textile industry is 95, and the China Textile Industry Federation "20 outstanding teachers of textile light" award, 1 of them won the special award of "textile light" teachers, 139 students of "textile light" Student Award, 2 of them won the special award of "spinning light" students.

10 other projects won the "textile light" China Textile Industry Federation's knitting underwear innovation contribution award.

The awarding project of "textile light" science and technology award has demonstrated the new achievements of China's textile science and technology innovation to a certain extent.

According to the introduction, this year's award-winning project presents five characteristics: first, taking enterprises as the main body, the close cooperation between industry, University and research is the main position of scientific and technological innovation.

Of the 135 projects awarded this year, 52 belong to the joint research results of industry, University and research, accounting for 39% of the total number of awards. Among them, the proportion of industry university research cooperation projects in the first and two prizes reached 73% and 43% respectively.

Taking the enterprise as the main body, the industry university research cooperation has already become

technological innovation

And the important channel of achievement application has been updated to improve the added value of products.

Fourth, the technological innovation and development of energy saving and emission reduction are fruitful.

There are more than 20 projects involved in this year's award-winning projects.

Conserve energy,reduce emissions

Technology accounts for nearly 19%.

First, technological standards and soft science achievements have new bright spots.

In this year's award results, there are 8 soft science projects and 15 standard results to enhance the capability of independent innovation of enterprises.

Second,

Industrialization of new textile materials

We have made many breakthroughs.

Nearly 20 achievements in this year's award-winning projects have contributed to the development of new fiber materials, indicating that the technological advantages of new textile materials continue to be maintained.

Third, the pformation of traditional industries by high and new technologies has made obvious achievements in promoting product upgrading.

High technology has pformed traditional industries and promoted product quasi research projects, highlighting recent achievements and international advantages in soft science research, functional testing and evaluation, fiber quantitative analysis and hazardous substances detection.

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