By fully utilizing technologies such as the Internet of Things, cloud computing, and artificial intelligence, traditional weaving production methods can be transformed and upgraded, with the goal of creating a digital textile weaving workshop. This will help textile enterprises establish a new production management model that is efficient and low-cost.

This project focuses on the entire process of weaving production and establishes a scenario based application solution covering various production and weaving processes, which is widely applied in textile production factories. The specific products and technical solutions include a digital loom control system, a textile machine remote control system based on the Internet of Things, and an intelligent textile machine defect monitoring system, among other product systems with independent intellectual property rights. At the same time, a weaving big data center has been established, forming the interconnection of data in different production processes, further helping enterprises achieve new data-driven production management methods such as intelligent scheduling, intelligent scheduling, and capacity prediction.

By implementing and importing the solution of this project, it will help textile enterprises achieve comprehensive digital management of their workshops, improve production efficiency, reduce production costs, and thus achieve an efficient production management method based on systems and data. At the same time, it will provide data-driven capability guarantee for subsequent intelligent upgrading and transformation.