Joseph Antony

Engineering Data Integration Engineering data integration has become a critical enabler for modern industries striving to streamline operations, enhance productivity, and foster innovation. As engineering processes grow increasingly complex, data from various sources—such as design systems, manufacturing equipment, enterprise resource planning (ERP) software, and Internet of Things (IoT) devices—must seamlessly converge to deliver actionable insights. The integration of this data eliminates silos, facilitates collaboration, and creates a unified view of engineering workflows, paving the way for smarter decision-making and operational efficiency.   At its core, engineering data integration involves combining disparate data from multiple systems and formats into a cohesive framework. For instance, computer-aided design (CAD) models, product lifecycle management (PLM) data, and enterprise software often operate independently, limiting visibility and collaboration. By integrating these...

  IIoT-Enabled Solutions for Asset Location Tracking and Condition Monitoring  The Industrial Internet of Things (IIoT) has transformed the way industries manage and maintain their valuable assets. By leveraging IIoT-enabled solutions, companies can now achieve precise location tracking and condition monitoring of industrial equipment. This technological advancement eliminates operational blind spots, enhances asset visibility , and enables predictive maintenance, ultimately leading to increased efficiency and reduced downtime . In this paper, we explore the capabilities, benefits, and real-world applications of IIoT in asset tracking and monitoring.   The Role of IIoT in Asset Tracking   Asset tracking in industrial environments is often challenging due to the size and complexity of facilities, the movement of equipment, and the need for real-time updates. IIoT-enabled asset tracking solutions utilize GPS, RFID, Bluetooth Low Energy (BLE), and Ultra-Wideband (UWB)...