Breakthrough point for intelligent transformation of production process in warp knitting industry


The fundamental task of the digital factory is to conne […]

The fundamental task of the digital factory is to connect. The connection is to achieve better process. The entry point in the warp knitting industry is that we are committed to cooperating with customers by modularizing, streamlining, and networking the production of discrete industries and providing supporting services for process connection and module linkage for each link. New model of production organization.

For example, starting from the dynamic state and dynamic transfer process of people, machines, and materials, the manufacturing system is closely integrated with the information system. Through the construction of the following links / functions, records of employees' production behavior (people), and real-time data of the machine network Machine) & dynamic monitoring (material), production scheduling (human, machine, material), logistics management (material), etc. Realize real-time and complete information flow and complete the transformation of integrated management and control.

Specific to the business process of the warp knitting industry, we can realize the automatic collection of various information such as the output, progress, and head balance of the warp knitting production process through the modification of the warp knitting machine and the warp knitting machine; and then report it in real time; Installation of display equipment, real-time display and monitoring of warp knitting machine loading error, warp amount setting error, consumption abnormality and other information and timely alarm and correction operations, to help factory users achieve more efficient process operations and build a digital workshop.

By "locating" to the customer's workshop, and following up on the customer's business needs in depth, we have also continuously accumulated experience in the development of equipment R & D and management system application functions. For example, in the laying of the warp knitting factory, traditional enterprises still rely on manual handling to move the pan head and cloth, but the pan head mounted on the warp knitting machine is very cumbersome, manual transportation takes time and energy, and sometimes it also causes safety accidents. The reliance on labor in the doffing process makes the blocker tired to cope with it, affecting the accuracy of the doffing, and the omission of the broken yarn detection also easily affects the product quality. In order to improve this situation, we independently developed the automatic cloth falling equipment, using the machine to free up the manual work of the stopper, and realized the labor saving and efficiency increase.

There are still many independent research and development that can really help warp knitting factories solve practical problems. It is through our continuous innovation and trials that manufacturers can realize the efficiency improvement brought about by our products and services, and have gradually accepted Related equipment and MES production management systems are intelligently transformed in their production processes.

In the existing practical cases, what practical benefits can a digital workshop management system bring to users?

Take the real situation of one of our customers as an example. Through the establishment of a set of production management system, this warp knitting factory has realized the digitization of all processes from production planning to execution, including unified scheduling of production planning; supporting the execution system through real-time data collection and material tracking; Material data early warning, automatic weighing of grey cloths, and automatic node weighing, etc., node data recording, tracking, and execution feedback; quality tracking, recording, and storage; code scanning and storage. Finally, the system can also issue detailed production analysis reports for customers, helping customers to continuously reduce costs and improve efficiency through loss analysis and turnaround rate.