A Low-Cost Home and Industrial Automation System Using IoT and Cloud Computing

Abstract

This paper describes a low-cost home and industrial automation system that utilisesIoT and Blynk Cloud for real-time monitoring and control. The system automates a variety of devices, including lighting, motors, temperature controls, and environmental sensors, by incorporating IoT-capable sensors and actuators. Data from these devices is sent to the cloud via the Blynk platform, which offers a mobile interface for remote access and control. Blynk Cloud allows customers to monitor their systems from anywhere and seamlessly integrates with existing IoT devices and protocols. This cloud-based technique also facilitates data storage and additional analysis. The usage of Blynk Cloud makes the system more user-friendly and customisable, resulting in a cost-effective solution for both household and industrial automation.

Introduction

Overview

This study presents a low-cost, IoT-based automation system integrated with the Blynk Cloud platform, aimed at enhancing efficiency, safety, and convenience in residential and industrial environments. By combining IoT sensors, actuators, cloud computing, and a mobile interface, the system allows for real-time monitoring and control without the need for extensive infrastructure or technical expertise.

Key Features & Benefits

• Cost-Effective: Suitable for small-scale industries and households, unlike traditional automation systems that are costly and complex.

• Real-Time Monitoring: Through sensors and the Blynk mobile app, users can monitor and control devices like lighting, temperature, water levels, and more.

• Remote Access & Control: Enabled via cloud-based connectivity and mobile interaction.

• Automation & Alerts: Automates processes based on sensor data and sends alerts (e.g., gas leaks, high temperatures).

• Scalable & Customisable: Easily integrates with various IoT protocols and hardware, making it adaptable for diverse applications.

Applications

• Homes: Lighting control, temperature regulation, security monitoring.

• Industries: Machine automation, safety alerts, environmental condition monitoring.

• Agriculture: Water level monitoring, environmental control.

• Commercial Buildings: Energy optimization, security enhancement.

Existing vs Proposed System

• Existing Systems: Mostly manual or semi-automated with limited integration and high costs.

• Proposed System: Fully automated, cost-efficient, and accessible via mobile through cloud-based services (Blynk).

System Architecture & Components

• Microcontrollers:

  • Arduino UNO: Central processing unit for handling sensor data.

  • NodeMCU (ESP8266/ESP32): Provides Wi-Fi connectivity.

• Sensors & Actuators:

  • Light Sensor (LDR): Adjusts lighting based on ambient light.

  • Gas Sensor (MQ-2): Detects hazardous gases.

  • Temperature/Humidity Sensor (DHT11): Monitors environmental conditions.

  • Water Level Sensor: Manages liquid levels.

  • Buzzer: Provides audible alerts.

  • Relay Modules: Controls devices like motors and lights.

Workflow

1. Data Acquisition: Sensors collect data in real time.

2. Data Processing: Microcontroller evaluates inputs and triggers actions.

3. Cloud Communication: Data sent to Blynk Cloud for storage and visualization.

4. User Interaction: Users monitor and control via the Blynk mobile app.

5. Device Control: Devices respond to user inputs or pre-set conditions.

Results

The system effectively manages home and industrial environments, offering:

• Energy efficiency

• Operational cost reduction

• Improved safety

• Remote, user-friendly control

Conclusion

To summarise, the suggested low-cost home and industrial automation system based on IoT and Blynk Cloud offers an efficient, scalable, and user-friendly solution for real-time monitoring and control. By combining wireless connection, cloud storage, and a mobile interface, the solution improves convenience, security, and energy efficiency while remaining cost-effective and customisable. IoT-based automation improves resource utilisation, reduces operational costs, and boosts productivity in both residential and industrial settings. With the ongoing improvements in cloud computing and IoT technology, this strategy has the potential to radically revolutionise smart automation solutions, making them more accessible and effective for a variety of applications.

References

[1] Bhosale, G. A., Uttam, K., &Jadhav, P. S. (2017). Industrial Automation using IoT. International Research Journal of Engineering and Technology.Balbudhe, P., Ragit, S., Sheikh, R., &Bagade, S. (2019). Industrial Automation Based on IoT. International Journal for Research in Applied Science and Engineering Technology. [2] Banerjee, S. M., &Mandal, A. J. (2021). Development Of An Internet Of Things (IoT) Based Industrial Security And Safety System Using Arduino. American Journal of Engineering Research. [3] Reddy, M. S. C. (2020). Factory Automation and Safety Control System Using IoT. Journal of Emerging Technologies and Innovative Research. [4] Veeraballi, T. P. (2021). IoT Based Industrial Automation Control System. Journal of Emerging Technologies and Innovative Research. [5] Dhanabalan, B., Ganeshaperumal, C., Solomon, P. J., &Gunasekaran, P. (2016). Design and Implementation of Industrial Automation Using IoT. International Journal of Advanced Research Trends in Engineering and Technology. [6] ShaikFareed Ahmed, Mohammed Abdul Sami Rahman, Syed Mudaseer Ahmed Razvi, Adeel Ahmed. “Smart Energy Efficient Home Automation System Using IoT.” ISL Engineering College, Hyderabad, India, 2021. [7] MeenaKasbekar, Nida Khan, AtharvaKadam, and Prof. MilindGajare. “Home Automation Using IoT.” Department of Electronics and Telecommunication Engineering, AISSMS Institute of Information Technology, Pune, India, 2021.

Copyright

Copyright © 2025 Kandi Harini, Mindaguditi Venkata Siva Teja, G. Shanti, Karri Lavanya, Ulcha Chandu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.