Development and Integration of an IoT-Enabled Weight Sorting System with PLC for Inventory Management

Ravindra Prajapati; Nikit N. Deshmukh; Kanaiya Bhatt

doi:10.69980/redvet.v25i1S.1923

Ravindra Prajapati
Nikit N. Deshmukh
Kanaiya Bhatt

DOI: https://doi.org/10.69980/redvet.v25i1S.1923

Keywords: Weight-based sorting, IoT, Siemens PLC, Load cells, Smart inventory management

Abstract

The convergence of automation and the Internet of Things (IoT) within industrial systems has significantly advanced with the onset of Industry 4.0. This paper presents the design, implementation, and performance evaluation of an IoT-integrated weight-based sorting system controlled by a Siemens Programmable Logic Controller (PLC). The system employs high-precision Xcluma 10 kg load cell sensors to detect the weight of objects, categorizing them accordingly. The Raspberry Pi Compute Module 4 augments the system's processing capabilities, handling data computation and wireless communication to an IoT cloud platform. Data transmission is facilitated through the Waveshare Industrial IoT Wireless Expansion Module, ensuring real-time monitoring and smart inventory management. The setup comprises essential components such as robust power supplies, Ethernet switches, actuators, and a 7-inch Wintake LCD display for local monitoring. The system's modular design and its potential for scalability demonstrate the viability of smart inventory systems in modern industrial environments.

Author Biographies

Ravindra Prajapati

School of Sciences/Engineering, PP Savani University, Surat, Gujarat, India

Nikit N. Deshmukh

School of Sciences/Engineering, PP Savani University, Surat, Gujarat, India

Kanaiya Bhatt

Research & Development Division, Engineering Technique, Vadodara, Gujarat, India

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