Optimizing IoT: Integrating Smart-Sensor Data Fusion on Mitsubishi RV-4FRL Robot Arm with Data Processing and Visualization

• Published in: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) pp. 1 - 6
• Main Authors: Pradhan, Aaditya Kumar, Patra, Achirangshu, Sahoo, Jasaswinee, Sajeed, Sk Abdul, Teja, Avs Sai, Yashika
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24-06-2024
• Subjects: Condition Monitoring; FFT; Industries; Intelligent sensors; Internet of Things; Manipulators; Monitoring; MySQL; Node-RED; Predictive Maintenance; Robot Arm; Robot sensing systems; Security; Service robots; Smart Sensor; Temperature sensors; Vibrations
• ISSN: 2473-7674
• DOI: 10.1109/ICCCNT61001.2024.10725339

The Internet of Things (IoT) represents an interconnected system comprising smart objects embedded with sensors, networking capabilities, and processing technologies. These elements collaboratively integrate to create an environment where smart services seamlessly reach end-users. This paper presents a pioneering architecture for an Internet of Things (IoT) application for industrial use, focusing on condition monitoring and predicting maintenance needs. The framework integrates Python for data collection from a Bosch Rexroth CISS (Connected Industrial Sensor Solution) multi-sensor and utilizes a specialized switch mechanism within Node-RED, allowing topic-based categorization like Accelerometer for selective sensor activation or deactivation. The gathered data is systematically stored in a MySQL database, following predefined conditions and criteria. Utilizing our system, we gather vibration data from the Mitsubishi RV-4FRL Robot Arm, analyze J3 axis vibrations through Python-based Fast Fourier Transform (FFT) for predictive maintenance insights, and store temperature data in MySQL database based on predefined conditions.