| Research on a natural gas flow sensor based on MEMS technology | |
Zhang, Jie1; Sun, Shaohua2; Zheng, Fuzhong3; Wang, Shan1 ; Wu, Ying4; Cao, Qiang1
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| 2023 | |
| 会议录名称 | Proceedings of SPIE - The International Society for Optical Engineering
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| 卷号 | 12744 |
| 会议名称 | 2nd International Conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2023 |
| 会议日期 | May 26, 2023 - May 28, 2023 |
| 会议地点 | Nanjing, China |
| 出版者 | SPIE |
| 摘要 | The primary task of establishing an intelligent energy network is to achieve the intelligent measurement of energy sources such as water, electricity, and natural gas, etc. Among them, significant progress has been made in the intelligent measurement of electricity and water, but the intelligent measurement of natural gas is still an urgent technical problem to be solved. At present, the actually used gas flow meters in the market are still traditional mechanical gas meters, which require manually recording gas meter data in each household. The data cannot be connected to the internet and cannot collect instantaneous flow values in real time, which is not conducive to real-time peak shaving of the energy network and compatibility with national intelligent energy network projects. The MEMS gas flow sensor studied in this article has the advantages of small size, light weight, low power consumption, high reliability, high sensitivity, and easy integration, which is a highly promising technical means to solve the intelligent measurement of natural gas. © 2023 SPIE. |
| 关键词 | Flow measurement Flow of gases Gas detectors Gas meters Gases Energy networks Gas flow sensors Intelligent energies Intelligent energy network Intelligent measurement Measurements of MEMS technology Natural gas flow Natural gas measurement Real- time |
| ISSN | 0277-786X |
| EISSN | 1996-756X |
| DOI | 10.1117/12.2688770 |
| 收录类别 | EI |
| 语种 | 英语 |
| EI入藏号 | 20233714731401 |
| 原始文献类型 | Conference article (CA) |
| 文献类型 | 会议论文 |
| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/18300 |
| 专题 | 智能制造与汽车学院 |
| 作者单位 | 1.Intelligent manufacturing and automobile school, Chongqing college of electronic engineering, Chongqing, China; 2.NO.7 Oil Production Plant PetroChina, Changqing Oilfield Company, Qingyang, China; 3.School of Automation, Chengdu University of Information Technology, Chengdu, China; 4.School of intelligent technology and Engineering, Chongqing University of Science and Technology, Chongqing, China |
| 第一作者单位 | 重庆电子科技职业大学 |
| 推荐引用方式 GB/T 7714 | Zhang, Jie,Sun, Shaohua,Zheng, Fuzhong,et al. Research on a natural gas flow sensor based on MEMS technology[C]:SPIE,2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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