Study on Sensing and Monitoring of Sewing Machine for Textile Stream Smart Manufacturing Innovation

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Study on Sensing and Monitoring of Sewing Machine for Textile Stream Smart Manufacturing Innovation

Usha Sewing Machine Dealers in Chennai

He smart factory is a futuristic production paradigm that transforms ICT(Information and communication technology) into a new smart/green/urban production system by integrating the existing traditional industrial production system.[1-2] Industry 4.0 proposed by DFKI, is defined as the 4th industrial revolution based on Internet-of-Things(IoT), cyber-physical systems(CPS), and Internet-of-Services(IoS). VS Sewing Machine [3-6] In the textile industry, the smart factory is a factory based on the CPS that incorporates ICT and IoT technology into the existing production system.[7-8] In order to build a smart factory between textile and apparel streams, the connectivity of the CPS should be strengthened.

This study focuses on the construction of a CPS system to realize a smart factory by deriving three representative processes (fabric, dyeing, sewing) among textile streams. The data flow of CPS based inter-stream smart manufacturing system. The rectangle marked with read lines represents the part for detecting and controlling the sewer data for the smart of the sewing process which is the core of this research.

Textile stream smart factory CPS implementation can only be done by linking together the ordering system, design automation system, product information management system, production information integration system and production equipment automation.[6] The interlinkage of high-throughput, high-productivity production systems that minimize plant-to-plant collaboration and prototype production to accommodate small-volume and multi-stream requirements between streams, and can be instantly produced on demand.


We have implemented a modeling tool that manages a model library including the described Sewing machine model. A user can easily add models such as sewing machine to a simulation scenario by using the proposed modeling tool. Further, the modeling tool automatically generate and build source codes for the models to be executed by the simulator. Therefore, the modeling tool support addition, deletion, modification and reuse of simulation models in the model library.

We should complete and deliver personalized products to customers within specified time to implement smart factories. Whether we can complete the customized products in specified time depends on the production schedule used. Simulation can work as a tool for validating production schedule and changing it if needed. In the manuscript we define a Sewing machine model organizing a sewing process and a modeling tool. The proposed model and modeling tool can be continuously improved and extended.