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By: Rameshwar Kawitkar, Shrishail Mule, and Shreyas Ranade
1- Profesor, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Vadgaon, Pune, Maharashtra, India.
2- Associate Profesor, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Vadgaon, Pune, Maharashtra, India.
3- PG Student, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Vadgaon, Pune, Maharashtra, India.
To address the challenges of scrap management and detect discrepancies in scrap loading and unloading, the system should include the following features: Operator Login: Implement a secure login system for operators to monitor individual performance and activity. Dashboard: Provide a dashboard for real-time monitoring of both operator performance and overall process efficiency. Data Collection: Gather data using existing weight sensors and the installed module. Separate Console and Server: Set up a dedicated console and server to present and manage the data. The combination of Internet of things (IoT) technology and broadband connectivity presents significant advancements in crane management systems, improving efficiency, safety, and real-time decision-making. This study focuses on designing an IoT-based framework for crane management, utilizing broadband for efficient data transmission and remote supervision. Essential features include load monitoring via sensors, predictive maintenance powered by real-time analytics, and automated safety mechanisms. The research emphasizes the flexibility and scalability of these systems across various industries, showcasing benefits like reduced downtime, better resource allocation, and enhanced safety. By addressing key implementation issues, this work fosters the development of smart industrial solutions leveraging IoT and broadband integration. Process Instance Calculation: Ensure each process instance is calculated and logged separately. Login/Logout Tracking: Track login and logout times for each operator to monitor shifts and activity. User-Friendly Key Panel: Provide an easy-to-use key panel for operators to enter data efficiently. Graphical Review Console: Offer a graphical review console with various visualization options to analyze the data. Quantitative Measurements and Analysis: Support quantitative measurements of inventory and conduct business-related data analysis.
Keywords: Cellular Connectivity, embedded systems, Industry 4.0, manufacturing, transformation
Citation:
Refrences:
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