特种设备学报 >

2026 , Vol. 1 >Issue 1: 36 - 63

DOI: https://doi.org/10.27022/j.issn2097-7697.2026.01.004

专题综述

智能压力容器：从运维到全寿命周期的安全智能技术

  • 轩福贞 ,
  • 杨斌 ,
  • 贾国栋 ,
  • 赵云妹 ,
  • 赵鹏 ,
  • 宫建国 ,
  • 王海杰 ,
  • 邵珊珊
展开
  • 1.同济大学 航空航天与力学学院 上海 200092;
    2.华东理工大学 机械与动力工程学院 上海 200237;
    3.中国特种设备检测研究院 北京 100029
轩福贞（1970—）,男,博士,教授,主要研究方向为机械强度学、特种承压装备的智能传感与健康监测等,E-mail: fzxuan@ecust.edu.cn。
杨斌（1988—）,男,博士,教授,主要研究方向为复合材料力学及结构健康监测,E-mail: yangbin_tj@tongji.edu.cn。

收稿日期: 2025-12-25

  网络出版日期: 2026-01-30

基金资助

国家重点研发计划资助项目(2024YFF0505200); 自然科学基金资助项目(12222206); 上海集成电路领域基础研究计划项目(25JD1403700)

收起

Intelligent Pressure Vessels: Safety Intelligence Technologies from Operation and Maintenance to Full Life Cycle

  • XUAN Fuzhen ,
  • YANG Bin ,
  • JIA Guodong ,
  • ZHAO Yunmei ,
  • ZHAO Peng ,
  • GONG Jianguo ,
  • WANG Haijie ,
  • SHAO Shanshan
Expand
  • 1. School of Aerospace Engineering and Applied Mechanics, Tongji University Shanghai 200092;
    2. School of Mechanical and Power Engineering, East China University of Science and Technology Shanghai 200237;
    3. China Special Equipment Inspection & Research Institute Beijing 100029

Received date: 2025-12-25

  Online published: 2026-01-30

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摘要

压力容器技术的发展历程体现了工业文明的演进。我国重大工程领域装备具有运行参数苛刻化、结构尺寸大型化、服役环境复杂化等典型特征,这对从强度设计、制造质量到运维的全寿命周期压力容器安全技术提出了全新挑战与要求,而人工智能的发展为压力容器安全智能技术的更替提供了前所未有的契机。本文首先结合压力容器的服役工况、损伤模式及运行安全保障的传统方法,综述了压力容器的基本支撑——强度与安全;其次,从新型传感方法及其适用性、全局与局部状态监测方法、多源传感监测方法4个方面总结了面向运维安全的压力容器状态监测技术的新进展;再次,结合数据科学的发展,从强度寿命的智能化预测、状态的智能化评估、数字孪生与系统的自主演进3个维度分析了面向全寿命周期的压力容器智能化技术,并引入系统工程思想,构建了一个涵盖L1状态感知、L2诊断预警、L3预测维护、L4协同决策和L5自主优化的5级智能化水平框架,明确了压力容器智能技术的演进路径,阐明了其在压力容器安全智能技术进程中的推动作用;最后,提出了智能压力容器的概念,并总结了其面临的挑战与对策,进一步展望了机械强度信息学对发展智能压力容器的重要意义。

关键词： 智能压力容器; 全寿命周期; 安全智能; 机械强度信息学

本文引用格式

轩福贞 , 杨斌 , 贾国栋 , 赵云妹 , 赵鹏 , 宫建国 , 王海杰 , 邵珊珊 . 智能压力容器：从运维到全寿命周期的安全智能技术[J]. 特种设备学报, 2026 , 1(1) : 36 -63 . DOI: 10.27022/j.issn2097-7697.2026.01.004

Abstract

The evolution of pressure vessel technology reflects the progress of industrial civilization. In major engineering applications in China, equipment is characterized by increasingly severe operating parameters, large structural dimensions, and complex service environments. These features impose new challenges and requirements on safety technologies of pressure vessels throughout the entire life cycle, covering strength design, manufacturing quality, and operation and maintenance. Meanwhile, the rapid development of artificial intelligence offers an unprecedented opportunity for upgrading intelligent safety technologies of pressure vessels. This paper reviews the traditional approaches for ensuring operation safety by analyzing the service conditions, damage mechanisms, and conventional assessment methods of pressure vessels, highlighting strength and safety as their fundamental supports. Recent advances in condition monitoring technologies for operational safety are summarized, including novel sensing methods, applicability evaluation, global and local state monitoring, and multi-source sensing fusion. With the integration of data science, intelligent technologies for life-cycle management of pressure vessels are further discussed from the perspectives of strength-life prediction, intelligent evaluation, and autonomous digital twin evolution, elucidating their promoting role in the progress of intelligent safety technologies. The concept of an intelligent pressure vessel is then proposed, and the challenges and countermeasures in its implementation are outlined. The importance of mechanical strength informatics in advancing intelligent pressure vessels is finally emphasized.

Key words： Intelligent pressure vessel; Life cycle; Safety intelligence; Mechanical strength informatics

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