Utilizes IoT devices to provide real-time data on the condition of piping systems. Continuous tracking of various parameters ensures early detection of potential issues.

Employs machine learning algorithms to predict and prevent failures before they occur. Reduces downtime and maintenance costs by addressing problems proactively.

Processes data locally at the network edge for faster responses and less reliance on cloud connectivity, enhancing monitoring system efficiency and reliability.