Among the processes for making final products using
fibers, the final process can be called a sewing process. The sewing
process generally corresponds to the process that requires the most
manpower in the production of textile products. The cost of sewing has
gradually increased due to the recent rise in labor costs. The
automation of the sewing process and the smart factory are expected to
be carried out along with the fourth industrial revolution. In order to
make the sewing factories smart, it is essential to apply smart sensing
technology to the sewing machines. Also, sewing Process In order to
grasp real-time situation, a system to monitor the status of each
machine is needed. This study can be regarded as a part of technology
development for automation and unmanned sewing process for final
CPS(cyber-physical system) implementation. Three techniques have
been developed in the sewing machine modification technology to
assist the smarting and sewing process of the sewing machine. Three
kinds of developed technology are a bobbin remaining amount
detecting technique, stitch length control, and monitoring techniques.
As a result of step-by-step technology development to realize CPS
finally, it is a partial technology development of automation through
some modification of sewing machine. The developed technology is
expected to be used as a technology for future smart sewing
automation plant construction.
The 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).
[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. Figure 1 shows 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] Fig. 2 shows 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.
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. Figure 1 shows 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] Fig. 2 shows 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.
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