Gaoyang: Digital Intelligence Helps The Transformation And Upgrading Of Textile Industry

Hebei news, November 14 (Xu Qiaoming, Yang Mi) on the 13th, in the sewing workshop of Tuqiang Textile Co., Ltd., Gaoyang County, Baoding, employees picked up their mobile phones to submit orders and report new tasks.

"In 2018, the company built a digital workshop, installed data acquisition equipment in the sewing workshop and weaving workshop, transmitted the data to the cloud through the new nuclear cloud software system, verified the real name of the process staff, submitted the application task, checked the progress of the production task in real time, shortened the intermediate link, improved the product production efficiency by 20%, and reduced the defective product rate by more than 7%. ”Company manager Han Wei said.

According to Dong Yanjie, director of the industry and Information Technology Bureau of Gaoyang County, the county is a famous textile town in China, and the textile industry accounts for more than 70% of the county's economy. In recent years, the county has actively guided enterprises to promote the deep integration of informatization and industrialization, organized enterprises to apply for provincial and municipal digital intelligent production workshops, and implemented data collection, process monitoring, quality management, production scheduling and statistical analysis of the production process through automatic production equipment, automatic detection equipment and information software, so as to boost the transformation and upgrading of the textile industry 。

Dong Yanjie said that the county also pays attention to the construction of information service platform for small and medium-sized enterprises, providing services such as product inspection and testing, design and development, sales and marketing, personnel training and information construction, network publicity, e-commerce, etc., so as to realize large-scale customization based on information-based means, meet the personalized needs of users, and boost the industrial cluster to move towards the middle and high-end of the industrial value chain. (end)