Abstract
Textile trade has occupied second place next to agriculture. Due to the increase in population growth, textile trade in today's world is growing in plenty. A power loom is one of the main advances within weaving industrialization. It employs the country's more than thirty-five million people. Trade's main objective is to know its high-productivity power. The biggest downside which a textile trade is facing is that once the thread is cut the material gets broken. This results in the production of unnecessary cloth. The designed system is meant in such a simple way that it stops the device and avoids damage. This uses Raspberry pi 3 as the primary principal unit. The proposed system uses AC to DC Rectifier, A / D Converter and raspberry pi to signify automatic yarn cut detection in a loom. Using raspberry pi, this device mainly aims to detect the yarn cut in a loom. In this paper, the use of a single controller controls four power looms. Once the yarn cuts, the fault is detected, the supply may cut off immediately and then the fault is corrected.
Highlights
Textile trade has become the world's second-largest work-generating sector
The main aspect of this is to adjust the basic power loom to act as an auto looms using the advantages of the system's Programmable Logic Controller (PLC)
This paper provides automatic detection of yarn cut through A / D converters and raspberry pi 3 in power loom
Summary
The loom is an automated system that provides higher management of output tracking and takes corrective action. This provides greater control of quality and manufacturing. One of the approaches to solve those problems is the use of automation within the textile industry. The Automation system method uses a network to interconnect sensors, controls, terminals for operators and actuators. The majority of loom square elements measure warp beam, heddles, harnesses, shuttle, reed, and take roll. Various yarn processes such as shedding, picking, battening and take-up operations occur in various measures. The most benefits of automation square measure are inflated outturn, inflated quality, improved hardiness and reduction of human loss.[4]
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