Abstract: The present invention provides a pipeline potential safety hazard intelligent identification system and method integrating power frequencies, pressures and temperatures and belongs to the technical field of intelligent monitoring. A monitoring system includes temperature sensors, pressure sensors, an Internet of Things (IoT) electricity meter, a PLC, an IoT DTU and a remote server. The present invention has the advantages of reading and analyzing pipeline operating state parameters in real time via digital sensors, and realizing remote real-time monitoring by uploading data via the IoT DTU; acquiring a leakage transient temperature by performing energy analysis on fluid at a leakage location of a pipeline, deducing a variation of pressure gradients from a variation of temperature gradients, performing two-parameter linkage leakage analysis, and positioning a leakage point with higher accuracy; and realizing the control logic through the PLC, and being easy to operate and high in applicability.

Abstract: The present invention provides a pipeline potential safety hazard intelligent identification system and method integrating power frequencies, pressures and temperatures and belongs to the technical field of intelligent monitoring. A monitoring system includes temperature sensors, pressure sensors, an Internet of Things (IoT) electricity meter, a PLC, an IoT DTU and a remote server. The present invention has the advantages of reading and analyzing pipeline operating state parameters in real time via digital sensors, and realizing remote real-time monitoring by uploading data via the IoT DTU; acquiring a leakage transient temperature by performing energy analysis on fluid at a leakage location of a pipeline, deducing a variation of pressure gradients from a variation of temperature gradients, performing two-parameter linkage leakage analysis, and positioning a leakage point with higher accuracy; and realizing the control logic through the PLC, and being easy to operate and high in applicability.