Real Time NILM Based Power Monitoring of Identical Induction Motors Representing Cutting Machines in Textile Industry
arXiv:2601.01616v2 Announce Type: replace Abstract: The textile industry in Bangladesh is one of the most energy-intensive sectors, yet its monitoring practices remain largely outdated, resulting in inefficient power usage and high operational costs. To address this, we propose a real-time Non-Intrusive Load Monitoring (NILM)-based framework tailored for industrial applications, with a focus on identical motor-driven loads representing textile cutting machines. A hardware setup comprising voltage and current sensors, Arduino Mega and ESP8266 was developed to capture aggregate and individual lo
The increasing energy costs and focus on sustainability are driving the immediate need for more efficient industrial power monitoring solutions, particularly in energy-intensive sectors like textiles.
This development allows for granular, real-time energy monitoring in industrial settings, which can significantly reduce operational costs and improve resource allocation.
Industries can now implement non-intrusive, precise power monitoring systems for identical loads, leading to better energy management and predictive maintenance.
- · Textile Industry
- · Industrial IoT Providers
- · Energy Management Software Developers
- · Traditional Energy Audit Firms
- · Inefficient Industrial Operations
Improved energy efficiency and reduced operational costs for textile factories.
Increased adoption of NILM technology across various industrial sectors facing similar energy monitoring challenges.
Enhanced industrial sustainability practices contributing to broader decarbonization efforts and compliance with environmental regulations.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.LG