IoT In Textile Industries

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Introduction

IoT has a lot of applications in the textile manufacturing industries, from the bale opening of cotton or raw material to the finished cloth or fabric. From detection of fiber characteristics to optimization of blend processing, storing and processing data using IoT can help in reducing the variations in the final product. IoT integration in spinning and weaving machines can improve process optimization and reduce defects. collecting data and Monitoring intermediate processes from the blow room to the Ring Frame can aid in improving the standard, reducing processing time, manpower, documentation work, and machine downtime, as well as increasing production and lowering costs. This real-time monitoring of machine data can provide real-time visibility of the process. It can also aid in the rapid discovery of machine defects, extending the life of the machine. Another feature of this IoT is automatic fault detection of textile products; it may also be used to measure a worker’s efficiency, strengths, and weaknesses. From automatic color matching (Datacolor, for example) to automatic sewing machines, digital printing, and floor space management, the Internet of Things opens up a world of possibilities for the textile industry. One component that might confirm a textile product’s sustainability claims is traceability. Yet, in this fragmented textile supply chain, obtaining effective traceability is quite challenging. The use of IoT and cloud computing can help with this specific feature.

Problem Statement

It has become mandatory for stock exchange-listed corporations to include ESG reports (sustainability reports) in their annual reports. Companies must either follow NVG rules or GRI disclosures to present the results that are affecting the relevant limitations to create this report. As we all know, advancements in AI have provided us with new chances for finding solutions to issues. The most crucial aspect of any report is the data, and ESG reports are focused on the organization’s data. As a result, data monitoring throughout the year becomes the most avoidable and haptic duty because of the large amount of paperwork effort and manpower required. monitoring and measuring them throughout the year is quite challenging.

Solution

The one and only solution to complete this task are IoT, with the help of IoT, one of AI’s powerful technologies, without the need for manual documentation or a large number of people. With the help of IoT and embedded technologies all parameters required to save energy potential and for ESG reporting of textile industries, parameters like as Raw Material, Total CO2 Emission, Specific CO2 Emission – gross (OSD), NOx Emission, SOx Emission, Dust Emission, Fuel Consumption – Coal+Petcock, Diesel Oil, Alternative Fuels, Biomass Fuels, Electricity Consumption, Specific Power Consumption, Specific Thermal Energy Consumption, Green Energy Consumption, Thermal Energy Saving, Electric Energy Saving, Amount of water withdrawal from various sources, Amount of Recycled and reused water, Direct GHG emission, Energy Indirect GHG Emission, Other Indirect GHG Emission, GHG Emission Intensity, Waste Generated (Hazardous & non-hazardous), Amount of Waste Disposed of, Amount of waste recycled etc., we can measure. It will require the installation of numerous sensing devices at the incoming and outgoing portions of machinery, as well as a power source, to collect the necessary data. The textile industry can be divided into four subunits: yarn manufacturing, fabric manufacturing, colour and dyeing, and apparel stitching. We can construct our floor plan to monitor various required data based on the subunit requirements and process intake. After the data has been acquired, the inbuilt programme will perform all arithmetic calculations and necessary procedures to create the final shape of record for the report.

Results

IoT monitoring not only helps to complete ESG reporting tasks for big giants but it also helps to save a lot of energy-saving potential for MSME industries. In the textile industry energy contributes 45 to 52 % in manufacturing costs. Thus, it helps to identify the potential losses and remove them. If we consider indirect costs reduction then it will impact costs related to manpower and all operational hidden costs.

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