高含硫输气管线参数监测与应力耦合风险评估方法及系统

By using a sulfur-resistant encapsulated intelligent sensor array and a multi-parameter coupling model, the real-time performance and reliability issues of high-sulfur gas pipeline monitoring technology have been resolved. This enables real-time monitoring and risk assessment of multiple parameters, reduces false alarm rates, improves operation and maintenance efficiency, and enhances the safety of gas pipelines.

CN121327376BActive Publication Date: 2026-07-17NANZHI (CHONGQING) ENERGY TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANZHI (CHONGQING) ENERGY TECH CO LTD
Filing Date
2025-09-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing monitoring technologies for high-sulfur gas pipelines cannot monitor key indicators such as corrosion rate, pipeline vibration, and foundation settlement in real time. Sensors are prone to corrosion and damage, data timeliness is poor, assessment methods ignore the combined damage of multiple factors, false alarm rate is high, and operation and maintenance rely on manual inspection, making it difficult to locate the cause of failure in a timely manner.

Method used

A sulfur-resistant encapsulated smart sensor array is used for multi-source data acquisition. The data is transmitted through dual-channel redundant communication and preprocessed and fused with multi-source data. The stress intensity factor is calculated using a multiaxial stress coupling factor model. The crack propagation rate is predicted by combining the sulfide stress cracking sensitivity coefficient. The residual strength is assessed by combining the vibration-settlement composite influence model. Finally, the pipeline risk is calculated using a multi-parameter risk model and a CFD model.

Benefits of technology

It enables real-time monitoring of multiple parameters in high-sulfur gas pipelines, improves equipment reliability, reduces false alarm rate, provides intelligent risk level classification and early warning capabilities, reduces reliance on operation and maintenance, and enhances the level of safe operation.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种高含硫输气管线多参数智能监测与应力耦合风险评估方法及系统,属于油气储运安全技术领域。方法步骤为:采集H2S浓度、腐蚀速率、管壁应力等多源数据;以双通道冗余通信传输数据;预处理融合数据,通过多轴应力耦合、硫化物应力开裂敏感性等模型计算应力与风险;划分风险等级并输出结果。系统包括感知层(耐硫封装智能传感器阵列)、传输层(LoRaWAN与5G双通道)、平台层(数据处理与模型计算)、应用层(风险等级输出)。本发明实现多参数实时监测与多因素耦合风险评估,为高含硫输气管线安全运维提供支撑。
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