Oil and gas pipeline safety state intelligent monitoring equipment and method

The invention discloses intelligent monitoring equipment and method for the safety state of an oil and gas pipeline, and belongs to the field of long-distance oil and gas pipeline monitoring and early warning. The data acquisition module acquires strain data of the oil and gas pipeline body and vari...

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Hauptverfasser:	ZHAO XIUFANG, ZHAO ZHONGFENG, GUO XIAODONG, YANG LU, LYU CHUNPENG, TIAN YONGCHUN, XU LEIGE, ZHANG ZIQIANG, XI SHA
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS BASIC ELECTRONIC CIRCUITRY BLASTING CALCULATING CODE CONVERSION IN GENERAL CODING COMPUTING COUNTING DECODING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY HEATING LIGHTING MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR MECHANICAL ENGINEERING PHYSICS PIPE-LINE SYSTEMS PIPE-LINES STORING OF DISTRIBUTING GASES OR LIQUIDS TARIFF METERING APPARATUS TESTING TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION WEAPONS
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Beschreibung
Zusammenfassung:	The invention discloses intelligent monitoring equipment and method for the safety state of an oil and gas pipeline, and belongs to the field of long-distance oil and gas pipeline monitoring and early warning. The data acquisition module acquires strain data of the oil and gas pipeline body and various environmental parameter data of the surrounding environment of the oil and gas pipeline, and the microprocessor performs diagnosis and failure early warning on the safety state of the oil and gas pipeline based on the acquired strain data of the oil and gas pipeline body and various environmental parameter data of the surrounding environment of the oil and gas pipeline. And comprehensive risk evaluation and early warning of the oil and gas pipeline are realized. 本发明公开一种油气管道安全状态智能监测设备及方法，属于长输油气管道监测预警领域。数据采集模块采集油气管道本体的应变数据和油气管道周边环境的多种环境参数数据，微处理器基于采集的油气管道本体的应变数据和油气管道周边环境的多种环境参数数据，对油气管道安全状态进行诊断和失效预警，实现了油气管道的综合风险评价和预警。