Advanced Secure Wireless Communication For Smart Industries

• Author(s):

  Prof. Moiz Hussain sir | Pranita D Maskade | Priyanka M Chopade | Renuka V Sapkal | Vaishnavi S Kharche | Vaishnavi R Gavhale

• Keywords:

  Raspberry Pi Pico W, Python GUI, WiFi Communication, Relay Module, Local Network Control, Industrial Automation, IoT (Internet Of Things), Device Monitoring And Control , Embedded System, Wireless Communication, MicroPython Programming, Smart Industry, Au

• Abstract:

  The Project Titled “Advanced Secure Wireless Communication For Smart Industries” Focuses On Developing A Reliable And Secure Wireless Control System For Industrial Automation Using The Raspberry Pi Pico W. In Modern Industries, Remote Monitoring And Control Of Devices Such As Motors, Fans, And Machinery Are Critical For Efficiency, Safety, And Energy Management. This System Integrates Multiple Relay Modules To Control Various Industrial Loads, Enabling Real-time Operation Through A Secure Wireless Interface. By Leveraging The Raspberry Pi Pico W, The System Ensures Fast Communication, Low Latency, And Robust Security Features To Prevent Unauthorized Access. The Project Demonstrates A Practical Approach To Implementing Smart Industrial Control Systems, Reducing Manual Intervention, Optimizing Operational Efficiency, And Enhancing Safety. The Integration Of Hardware And Wireless Control Technology Provides A Scalable Solution Adaptable To Various Industrial Applications. Security Is A Critical Aspect Of Industrial Automation, And This System Incorporates Measures To Prevent Unauthorized Access And Data Breaches, Ensuring Reliable And Protected Control Over Critical Devices. The Design Also Emphasizes Scalability, Allowing Additional Modules And Devices To Be Incorporated As The Industrial Requirements Expand. By Combining Hardware Control, Wireless Connectivity, And Security Protocols, The Project Demonstrates A Practical And Cost-effective Solution For Smart Industry Applications. It Highlights The Potential For Enhanced Operational Efficiency, Energy Management, And Predictive Maintenance, Making Industrial Systems Smarter, Safer, And More Responsive To Dynamic Operational Needs.

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Other Details

• Paper id:

  IJSARTV11I10104210

• Published in:

  Volume: 11 Issue: 10 October 2025

• Publication Date:

  2025-10-31

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