Automatic Yarn Cut Detection in Power Loom using Iot

Autor: M. Sivachitra, K. Prithivi, S. Thenmozhi, N. Praveen, R. Gokulakrishnan, K. R. Vanathi
Přispěvatelé: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Engineering and Advanced Technology. 9:4127-4130
ISSN: 2249-8958
DOI: 10.35940/ijeat.c6550.029320
Popis: 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.
Databáze: OpenAIRE