摘要
气体的检测方法多种，如：电化学方法、半导体方法、红外方法、红外成像方法、激光方法等等。不同的方法均有不同的优点及缺点，不同的精度等级，以及不同的使用环境。在许多工业过程中，压力容器被广泛使用，例如化工、石油、食品加工等行业。压力容器的内部压力和气体密度是重要的参数，直接影响到生产过程的安全和效率。然而，需监测的压力容器在阀门处安装机械压力表，需人工按时巡查压力，压力数据无法实时获取，从而导致气体泄漏或无法及时更换补充气源等现象，或由于环境温度升高而使钢瓶超压并发生爆炸事故等。在压力容器内的气体纯度不高，或是充装气体为混合气体时，由于气体密度的计算与气体摩尔质量数据、气体常数相关，还与压力容器所在环境的温度相关，在此场景下，现有的监测系统往往不能实时准确监测气体密度，对压力容器的稳定运行存在一定的风险。在线气体监控系统可以更加实时高效的发现这些泄漏风险。
关键词： 气体检测；气体泄漏检测系统；红外成像气体检漏法
Abstract
There are many detection methods of gas, such as: electrochemical method, semiconductor method, infrared method, infrared imaging method, laser method and so on. Different methods have different advantages and disadvantages, different accuracy levels, and different use environments. Pressure vessels are widely used in many industrial processes, such as chemical, petroleum, food processing and other industries. The internal pressure and gas density of the pressure vessel are important parameters, which directly affect the safety and efficiency of the production process. However, the pressure vessel to be monitored is installed with a mechanical pressure gauge at the valve, which requires manual inspection of the pressure on time, and the pressure data cannot be obtained in real time, resulting in gas leakage or failure to replace the supplementary air source in time, or overpressure of the cylinder and explosion accidents due to rising ambient temperature. When the gas purity in the pressure vessel is not high, or when the gas is filled with mixed gas, the calculation of gas density is related to the gas molar mass data and gas constant, as well as the temperature of the environment where the pressure vessel is located. In this scenario, the existing monitoring system often cannot accurately monitor the gas density in real time, which poses certain risks to the stable operation of the pressure vessel. Online gas monitoring systems can detect these leakage risks more efficiently and in real time.
Key words： Gas detection; Gas leak detection system; Infrared imaging gas leak detection method
参考文献 References
[1] 王寅吉,冯杰,张朝阳. 浅谈压力容器制造的特征、常见问题及对策[J] . 中国石油和化工标准与质量2023(16): 49-51.
[2] Wang Yinji, Feng Jie, Zhang Chaoyang. Briefly discuss the characteristics, common problems and countermeasures of pressure vessel manufacturing [J]. China Petroleum and chemical standards and quality, 2023(16):49-51.
[3] 周浩青,周国庆,秦政,等. 基于腐蚀泄漏的储罐常态化监测研究与应用[J]. 设备管理与维修,2023(07):139-141.
[4] Zhou Haoqing, Zhou Qingguo, Qin Zheng, et al. Research and application of normalized monitoring of storage tank based on corrosion leakage[J]. Plant Maintenance Engineering, 2023(07):139-141.
[5] 房将, 基于全生命周期理论的压力容器特种设备管理[J].化学工程与装备,2022(10):189-190+188.
[6] Fang Jiang, Pressure vessel special equipment management based on the whole life cycle theory [J]. Chemical Engineering & Equipment ,2022(10):189-190+188.
[7] 陈凯,单嘉琦,王侃. PDCA循环管理在压力容器类特种设备精细化管理中的实践与探索[J]. 医疗装备,2023 (04): 60-63.
[8] Chen Kai, Shan Jiaqi, Wang Kan. Practice and exploration of PDCA cycle management in fine management of pressure vessel type special equipment[J]. Chinese Journal of Medical Device, 2023(04):60-63.
[9] 卢文文,马小弟,上官振国, 压力管道内检测技术研究[J].化工管理,2018(03):91-92.
[10] Lu Wenwen, Ma Xiaodi, Shangguan Zhenguo, Research on detection technology in pressure pipeline[J]. Chemical Enterprise Management, 2018(03):91-92.
[11] 田忠,常敏,金海勇,等,电力系统智能化运维中GIS设备SF6气体泄漏检测方法研究[J]. 计算机测量与控制, 2022. 10.005:27-32.
[12] Tian Zhong, Chang Min, Jin Haiyong, et al. Research on SF6 gas leakage detection method of GIS equipment in intelligent operation and maintenance of power system [J]. Comput Measur Contrl, 2022.10.005:27-32.
[13] 中仪,无人机搭载智能气体探测仪用于气体泄漏检测[J]. 军民两用技术与产品,2016.19.084:40.
[14] Zhong Yi, The drone is equipped with an intelligent gas detector for gas leak detection[J]. Dual Use Technologies & Products, 2016.19.084:40.
[15] 俞颖飞,王江陵,陈武,气体灭火系统瓶组压力远程监控系统设计[J]. 消防科学与技术,2016(09):1264-1266.
[16] Yu yingfei, wang jiangling, chen wu, Design of remote monitoring system for cylinder group pressure of gas fire extinguishing system[J]. Fire Science and Technology, 2016(09):1264-1266.
[17] 洪少壮,基于视觉的红外气体泄漏检测算法研究[J]. 安全科学与灾害防治,2020(01):73.
[18] Hong Shaozhuang, Research on infrared gas leak detection algorithm based on vision[J]. Safety Science and Disaster Prevention and Control, 2020(01):73.
[19] 孙雷,SF6气体泄漏检测系统设计[J].电力信息与通信技术,2015.13(6):106-109.
[20] Sun Lei, Design of sulfur hexafluoride gas leakage detection system[J]. Power Information and Communica-tion Technology, 2015.13(6):106-109.