近红外轻质油品快速检测系统的研制和应用

陈国钰

doi:10.16495/j.1006-3757.2023.02.013

近红外轻质油品快速检测系统的研制和应用

doi: 10.16495/j.1006-3757.2023.02.013

陈国钰

中国石化天津分公司，天津　300271

详细信息

作者简介:
陈国钰（1973−），女，高级工程师，从事信息系统技术支持工作，E-mail：chenguoyu.tjsh@sinopec.com

中图分类号: O657. 33; TH74
计量
- 文章访问数: 32
- HTML全文浏览量: 9
- PDF下载量: 11
- 被引次数: 0
出版历程
- 收稿日期: 2023-01-23
- 录用日期: 2023-03-05
- 修回日期: 2023-03-05
- 刊出日期: 2023-06-30

Development and Application of Near Infrared Spectrometric Rapid Detection System for Light Oil Products

CHEN Guoyu

Sinopec Tianjin Company, Tianjin 300271, China

摘要

摘要: 近红外轻质油品快速检测技术的研制与应用，替代了实验室轻质油品的传统检验，实现检验业务批量自动进样、快速检测、自动清洗、机器代人和无人值守，解决了传统检测效率低、工作量大、成本高的问题. 同时也改善了有毒有害人工检测环境，及时准确的提供产品的质量信息，指导装置优化调整生产工艺参数，有效促进资源的合理利用和生产工艺优化提升，满足企业生产装置精细化管理和优化运行的需求，带动行业内轻质油品快速检测技术的创新发展.
- 近红外 /
- 轻质油 /
- 快速检测
Abstract: Through the development and application of the near-infrared spectrometric rapid detection system for light oil products, the traditional inspection of light oil in the laboratory is replaced, the batch automatic sampling, rapid detection, automatic cleaning, machine replacement and unattended inspection of the inspection business are realized, the problems of low efficiency, large workload and high cost of traditional inspection are solved. Using the system the artificial detection environment of toxic and harmful substances are improved, the product quality information are provided timely and accurately, the device to optimize and adjust the production process parameters effectively is guided, the rational use of resources and the optimization and upgrading of production process are promoted. All these meets the needs of enterprise production device refined management and optimized operation, and drives the rapid detection technology innovation and development of light oil products in the industry.
- near-infrared spectrometric /
- light distillate /
- rapid detection

HTML全文

图 1 系统功能架构

Figure 1. System functional architecture

下载: 全尺寸图片幻灯片

图 2 自动进样器

Figure 2. Auto sampler

下载: 全尺寸图片幻灯片

图 3 轻质馏分油检测软件

Figure 3. Detection software of light distillate oil

下载: 全尺寸图片幻灯片

表 1 近红外光谱仪性能表

Table 1. Performance table of near-infrared spectrometer

名称	参数
检测范围/cm⁻¹	3 700~15 000
分辨率	可在1~64 cm⁻¹范围内调节，步长为2
检测器信噪比	100 000∶1
波数再现性（@7 300 cm⁻¹）/cm⁻¹	<0.006
波数精度（@7 300 cm⁻¹）/cm⁻¹	<0.06
吸光度再现性（以光谱纯甲苯为基准测量）/AU	<0.002

下载: 导出CSV

表 2 自动进样器参数配置

Table 2. Parameter configuration of automatic sampler

名称	参数
进样模式	吸入式
样品盘位号	40位样品瓶
单次进样量	可调，大于10 mL
进样速度	>5 mL/min
进样时间	可调，最小单位1 s
最小单位1 s进样阀	电磁六通阀

下载: 导出CSV

表 3 模型精度表

Table 3. Model precision table

序号	样品名称	样品数量/个	对比分析性质数/个	与传统分析对比其中不符合精度指标数/个	对比分析合格率/%
1	一加氢裂化重石脑油	429	257 4	73	97.2
2	二加氢裂化重石脑油	449	274 3	41	98.5
3	二常重石脑油	393	201 5	70	96.5
4	三常重石脑油	435	261 0	41	98.4
5	szorb汽油	224	291	14	95.2
6	催化稳定汽油	347	218 6	108	95.1
7	重整抽提精制石脑油进料	264	318 2	58	98.2
8	重整抽提二甲苯塔顶油	251	201 0	27	98.7
9	重整抽提苯	259	513	0	100.0
10	重整抽提脱戊烷塔底油	209	250 4	48	98.1
11	一加氢裂化航煤	302	231 7	103	95.6
12	航煤加氢精制航煤	320	248 0	91	96.3
13	二常常一线	257	250 8	92	96.3
14	三常常一线	347	322 1	130	96.0
15	二加氢裂化航煤	312	237 3	87	96.3
16	一柴航精制航煤	230	180 3	30	98.3
17	混苯	83	123 4	26	97.9
18	直馏重石脑油	38	570	6	98.9
19	裂化重石脑油	32	474	2	99.6
20	92#乙醇汽油调和组分	62	618	20	96.8
21	异辛烷	89	89	0	100.0
22	民用航煤	67	603	16	97.3
	合计	5 399	389 18

下载: 导出CSV

参考文献(15)

[1]	褚小立. 化学计量学方法与分子光谱分析技术[M]. 北京: 化学工业出版社, 2011 CHU Xiaoli. Molecular spectroscopy analytical technology combined with chemometrics and its applications[M]. Beijing: Chemical Industry Press, 2011.
[2]	褚小立. 近红外光谱分析技术实用手册[M]. 北京: 机械工业出版社, 2016 CHU Xiaoli. Practical handbook of near infrared spectroscopy analysis technology[M]. Beijing: China Machine Press, 2016.
[3]	杰尔•沃克曼, 洛伊斯•文依. 近红外光谱解析实用指南[M]. 褚小立, 许育鹏, 田高友, 译. 北京: 化学工业出版社, 2009.
[4]	Bakeev K A. 过程分析技术: 针对化学和制药工业的光谱方法和实施策略[M]. 姚志湘, 褚小立, 粟晖, 等译. 机械工业出版社, 2014.
[5]	陆婉珍, 袁洪福, 褚小立, 等. 当代中国近红外光谱技术: 全国第一届近红外光谱学术会议论文集[M]. 北京: 中国石化出版社, 2006 LU Wanzhen, YUAN Hongfu, CHU Xiaoli, et al. Near infrared spectroscopy technology in modern China[M]. Beijing: China Petrochemical Press, 2006.
[6]	张琳, 张黎明, 李燕, 等. 正交信号校正用于傅里叶变换红外光谱的模型传递[J]. 分析化学,2005,33(12):1709-1712 doi: 10.3321/j.issn:0253-3820.2005.12.010 ZHANG Lin, ZHANG Liming, LI Yan, et al. Orthogonal signal correction used for calibration transfer of Fourier transform infrared spectra[J]. Chinese Journal of Analytical Chemistry,2005,33 (12):1709-1712. doi: 10.3321/j.issn:0253-3820.2005.12.010
[7]	Chu X L, Yuan H F, Lu W Z. In-line monitoring of several pilot scale catalytic reforming units using a short-wavelength near infrared analyser[J]. Journal of Near Infrared Spectroscopy,2005,13 (1):37-45. doi: 10.1255/jnirs.455
[8]	Yuan H F, Chu X L, Li H R, et al. Determination of multi-properties of residual oils using mid-infrared attenuated total reflection spectroscopy[J]. Fuel,2006,85 (12-13):1720-1728. doi: 10.1016/j.fuel.2006.02.003
[9]	Chu X L, Xu Y P, Tian S B, et al. Rapid identification and assay of crude oils based on moving-window correlation coefficient and near infrared spectral library[J]. Chemometrics and Intelligent Laboratory Systems,2011,107 (1):44-49. doi: 10.1016/j.chemolab.2011.01.006
[10]	Li J Y, Chu X L. Rapid determination of physical and chemical parameters of reformed gasoline by near-infrared (NIR) spectroscopy combined with the Monte Carlo virtual spectrum identification method[J]. Energy & Fuels,2018,32 (12):12013-12020.
[11]	田高友, 褚小立, 易如娟, 等. 润滑油中红外光谱分析技术[M]. 北京: 化学工业出版社, 2014 TIAN Gaoyou, CHU Xiaoli, YI Rujuan, et al. Lubricants oil infrared spectral analysis technology[M]. Beijing: Chemical Industry Press, 2014.
[12]	叶树彬. 傅里叶变换红外光谱定性识别分析方法研究[D]. 合肥: 中国科学技术大学, 2017 YE Shubin. Study on qualitative identification methods of unknown components with Fourier transform infrared specturm[D]. Hefei: University of Science and Technology of China, 2017.
[13]	陆婉珍. 近红外光谱仪器[M]. 北京: 化学工业出版社, 2010 LU Wanzhen. Near infrared spectroscopy instrument[M]. Beijing: Chemical Industry Press, 2010.
[14]	周新奇, 马帅, 刘妍, 等. 高温傅里叶变换红外气体分析仪研制与应用[J]. 分析测试学报,2020,39(10):1299-1304 doi: 10.3969/j.issn.1004-4957.2020.10.018 ZHOU Xinqi, MA Shuai, LIU Yan, et al. Development and application of a high temperature gas analyzer based on Fourier transform infrared spectroscopy[J]. Journal of Instrumental Analysis,2020,39 (10):1299-1304. doi: 10.3969/j.issn.1004-4957.2020.10.018
[15]	张春鹏, 李婷, 杨云. 科学仪器设备专利分析及战略研究传递[J]. 现代科学仪器,2015(3):17-23 ZHANG Chunpeng, LI Ting, YANG Yun. Analysis and strategic research of patents for scientific instrument[J]. Modern Scientific Instruments,2015 (3):17-23.