Real-Time Hydraulic Fluid Leak Detection in Heavy Machinery Using Cloud-Integrated Wireless Sensor Networks for Proactive Maintenance

This research introduces unique techniques for improving preventative servicing of heavy equipment using a real-time leak-detecting system for hydraulic fluid. The technology employs a network of sensors across the gear to monitor the hydraulics in real time. These wireless sensors communicate data to a cloud-based platform, where cloud computing analytics are used for real-time analysis. The cloud-integrated sensor network quickly detects hydraulic fluid leakage to address the critical demand for quick maintenance interventions. Preventing possible breakdowns and avoiding downtime are two areas where real-time skills shine. The cloud-based design enables remote monitoring and administration, which is essential for a preventative maintenance approach. Multiple pieces of heavy equipment were used in virtual and real-world tests to evaluate the proposed solution. The results reveal that the system is useful for real-time detection of hydraulic fluid leaks, which can potentially increase heavy equipment’s overall dependability and performance. The system is a viable option for a wide range of industrial uses due to the incorporation of cloud computing, which guarantees scalability, flexibility, and accessibility.