The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 25, 2025
Filed:
May. 31, 2024
China Construction Industrial & Energy Engineering Group Co., Ltd., Nanjing, CN;
Shengqing Yao, Nanjing, CN;
Ziyao Sun, Nanjing, CN;
Jiaojiao Ni, Nanjing, CN;
Longkang Xiang, Nanjing, CN;
Zengxiao Gao, Nanjing, CN;
Sicong Chen, Nanjing, CN;
Linjie Cui, Nanjing, CN;
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. The present invention further has the advantages of forming a pressure-temperature dataset and a power frequency dataset, analyzing an operating state of a heating pipeline in real time, integrally setting a leakage threshold value in conjunction with a variation of device power frequencies and reducing false alarm frequencies.