Patented industrial IoT system for real-time energy monitoring and equipment health diagnostics — commercially deployed at J&P Coats (MNC), Karachi, Pakistan.
NED-EIoT is an indigenously designed and developed Industrial IoT device that provides real-time visibility into energy consumption and equipment health across factory production lines.
Developed at the Haptics, Human-Robotics & Condition Monitoring Lab (HHRCM), NCRA-NEDUET under the mentorship of Prof. Dr. Riaz Uddin (Professor, Director NCRA & Director ORIC, NEDUET).
Status: Live and operational at J&P Coats (MNC), Karachi
Patent: Filed — IPO Pakistan Application No. 967/2025
Industrial facilities largely lack real-time visibility into equipment-level energy consumption. Maintenance teams rely on manual meter readings and reactive fault response — leading to energy waste, unplanned downtime, and zero audit trail.
NED-EIoT replaces manual monitoring with automated, cloud-connected, real-time energy intelligence.
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- Real-time energy monitoring — voltage, current, power factor, active/reactive power per equipment
- Equipment health diagnostics — anomaly detection with automated threshold alerts
- Cloud dashboard — live Power BI + Google Sheets integration with audit-ready logs
- OTA firmware updates — remote configuration without physical access
- Multi-device support — scalable across production lines
- Low-cost indigenous hardware — designed and manufactured in Pakistan
| Component | Details |
|---|---|
| Microcontroller | ESP32 / ESP8266 |
| Current sensing | CT sensors (100A to 1000A / 50mA split-core) |
| Communication | RS-485, Modbus RTU/TCP, HTTPS |
| Connectivity | WiFi, MQTT over TLS |
| Power supply | 5V Type-C or Industrial 24V DC |
| Layer | Technology |
|---|---|
| Firmware | Embedded C (FreeRTOS), C++ and AppScript |
| Protocol | Modbus RTU/TCP, MQTT, HTTPS |
| Cloud | Google Cloud Platform (GCP) |
| Dashboard | Power BI, Google Sheets API |
| Automation | IFTTT, Zapier, Node-RED |
| OTA | ESP OTA over WiFi |
| File | Description |
|---|---|
src/NED-EIoT-main_v1.3.4.ino |
ESP8266 firmware — CT sensing, EmonLib, HTTPS push, OTA, captive portal |
src/NED-EIoT-AppScript_v1.4.2.gs |
Google Apps Script — data logging, dashboard, day/night analytics |
⚠️ ReplacedefaultSSID,defaultPassword,GAS_ID, andsheetIdwith your own credentials before deployment.
PCB design files and calibration constants are protected under IPO Pakistan Patent Application No. 967/2025.
Client: J&P Coats (MNC) — Karachi, Pakistan
Environment: Active industrial production facility
Status: Operational
Outcome: Replaced manual energy audits with real-time
equipment-level cloud visibility across multiple production lines
📌 Dashboard screenshots and real-time data shown in this repository are from lab testing at HHRCM Lab, NCRA-NEDUET. Production data from J&P Coats deployment is confidential and not included in this repository.
Patent filed with IPO Pakistan
Application No. 967/2025
Status: Under Review
Note: Firmware source code and PCB design files are proprietary and protected under the filed patent. They are not included in this repository.
- NED-SILL — Smart Industrial Liquid Level Monitor (also deployed at J&P Coats)
H. Khan & R. Uddin, "Preliminary Results of the Optimized
Network Interface for Long Distance Haptic Teleoperation,"
Eng. Proc., MDPI, 2023.
DOI: 10.3390/engproc2023032009
Humayun Khan
Team Lead, HHRCM Lab, NCRA-NEDUET
Co-Founder, Haptronica (incubated in BIC NEDUET) & RobAutoStem (incubated in BIC NEDUET, NIC Karachi-Cohort 12)
📧 humayunnaveedkhan@gmail.com
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© 2025 Humayun Khan, HHRCM Lab NCRA-NEDUET.
Patent pending. All rights reserved.
No part of this repository may be reproduced or used
commercially without written permission.