An Analysis Method for Heating Network Leaks Monitoring

Modern district heating (DH) systems are complex engineering structures that play an essential role in large city infrastructures. DH networks have many sensors, nodes, and methods for monitoring the status of network. Sensing, processing, analytical actuation (SPA) incoming information handled by SPA semantic Computing method can be applied to similar problems. The Semantic searches correlations between sets data identify correct scenario respond events. This article explores integration functions analyze multivariate sensing data, including from multivariable sensors infrared images, creating a system networks. focus is assess whether approach suitable candidate use monitor emergency events Specific target assessment [1] multi-parameter network sensor such as water temperature, sweat rate, energy delivered, etc., [2] image camera mounted on unmanned aerial vehicle (UAV) location underground leaks. A computational model, mathematical model meaning (MMM), spatial filtering proposed integrating computing leak detection