High-Precision SO2 Detection in GIS Equipment Based on NDIR Sensor

Liang Liu; Peng Luo; Zhi Yin; Tingting Su; Chensong Liu; Yukun Chen; Xiao Liu; Jifeng Chu; Aijun Yang

doi:10.1007/978-981-96-1383-0_65

High-Precision SO₂ Detection in GIS Equipment Based on NDIR Sensor

Liang Liu
, Peng Luo
, Zhi Yin
, Tingting Su
, Chensong Liu
, Yukun Chen
, Xiao Liu
, Jifeng Chu
, Aijun Yang

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

When internal faults occur in GIS equipment, such as spark discharge or corona discharge, it can cause SF₆ gas to decompose and generate characteristic decomposition products such as SO₂. The severity of discharge faults can be evaluated by measuring the concentration of SO₂. However, current SO₂ gas sensors on the market have limitations in terms of volume and sensitivity to specific gases, making it difficult to meet all needs. In response to this issue, this article has developed a dual channel SO₂ detection system based on non dispersive infrared (NDIR) technology, which can accurately detect SO₂ in SF₆ gas environment and ensure that the detection results are not affected by other interfering gases. In addition, by simulating the decomposition of SF₆ gas under different intensity spark discharge conditions, this article collected SO₂ decomposition products of different concentrations. The comparative test results using gas chromatography show that the designed SO₂ detection device has very high detection accuracy, with a maximum error of only ±7 ppm. This result validates the significant potential and advantages of the detection device in online monitoring of discharge faults in GIS equipment.

Original language	English
Title of host publication	The Proceedings of the 19th Annual Conference of China Electrotechnical Society - Volume III
Editors	Qingxin Yang, Zhaohong Bie, Xu Yang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	622-628
Number of pages	7
ISBN (Print)	9789819613823
DOIs	https://doi.org/10.1007/978-981-96-1383-0_65
State	Published - 2025
Event	19th Annual Conference of China Electrotechnical Society, ACCES 2024 - Xi'an, China Duration: 20 Sep 2024 → 22 Sep 2024

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1310
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	19th Annual Conference of China Electrotechnical Society, ACCES 2024
Country/Territory	China
City	Xi'an
Period	20/09/24 → 22/09/24

Keywords

GIS equipment
NDIR sensors
SO detection device
Spark discharge

Access to Document

10.1007/978-981-96-1383-0_65

Cite this

Liu, L., Luo, P., Yin, Z., Su, T., Liu, C., Chen, Y., Liu, X., Chu, J., & Yang, A. (2025). High-Precision SO₂ Detection in GIS Equipment Based on NDIR Sensor. In Q. Yang, Z. Bie, & X. Yang (Eds.), The Proceedings of the 19th Annual Conference of China Electrotechnical Society - Volume III (pp. 622-628). (Lecture Notes in Electrical Engineering; Vol. 1310). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-1383-0_65

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title = "High-Precision SO2 Detection in GIS Equipment Based on NDIR Sensor",

abstract = "When internal faults occur in GIS equipment, such as spark discharge or corona discharge, it can cause SF6 gas to decompose and generate characteristic decomposition products such as SO2. The severity of discharge faults can be evaluated by measuring the concentration of SO2. However, current SO2 gas sensors on the market have limitations in terms of volume and sensitivity to specific gases, making it difficult to meet all needs. In response to this issue, this article has developed a dual channel SO2 detection system based on non dispersive infrared (NDIR) technology, which can accurately detect SO2 in SF6 gas environment and ensure that the detection results are not affected by other interfering gases. In addition, by simulating the decomposition of SF6 gas under different intensity spark discharge conditions, this article collected SO2 decomposition products of different concentrations. The comparative test results using gas chromatography show that the designed SO2 detection device has very high detection accuracy, with a maximum error of only ±7 ppm. This result validates the significant potential and advantages of the detection device in online monitoring of discharge faults in GIS equipment.",

keywords = "GIS equipment, NDIR sensors, SO detection device, Spark discharge",

author = "Liang Liu and Peng Luo and Zhi Yin and Tingting Su and Chensong Liu and Yukun Chen and Xiao Liu and Jifeng Chu and Aijun Yang",

note = "Publisher Copyright: {\textcopyright} Beijing Paike Culture Commu. Co., Ltd. 2025.; 19th Annual Conference of China Electrotechnical Society, ACCES 2024 ; Conference date: 20-09-2024 Through 22-09-2024",

year = "2025",

doi = "10.1007/978-981-96-1383-0\_65",

language = "英语",

isbn = "9789819613823",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "622--628",

editor = "Qingxin Yang and Zhaohong Bie and Xu Yang",

booktitle = "The Proceedings of the 19th Annual Conference of China Electrotechnical Society - Volume III",

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Liu, L, Luo, P, Yin, Z, Su, T, Liu, C, Chen, Y, Liu, X, Chu, J & Yang, A 2025, High-Precision SO₂ Detection in GIS Equipment Based on NDIR Sensor. in Q Yang, Z Bie & X Yang (eds), The Proceedings of the 19th Annual Conference of China Electrotechnical Society - Volume III. Lecture Notes in Electrical Engineering, vol. 1310, Springer Science and Business Media Deutschland GmbH, pp. 622-628, 19th Annual Conference of China Electrotechnical Society, ACCES 2024, Xi'an, China, 20/09/24. https://doi.org/10.1007/978-981-96-1383-0_65

High-Precision SO₂ Detection in GIS Equipment Based on NDIR Sensor. / Liu, Liang; Luo, Peng; Yin, Zhi et al.
The Proceedings of the 19th Annual Conference of China Electrotechnical Society - Volume III. ed. / Qingxin Yang; Zhaohong Bie; Xu Yang. Springer Science and Business Media Deutschland GmbH, 2025. p. 622-628 (Lecture Notes in Electrical Engineering; Vol. 1310).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Liu, Liang

AU - Luo, Peng

AU - Yin, Zhi

AU - Su, Tingting

AU - Liu, Chensong

AU - Chen, Yukun

AU - Liu, Xiao

AU - Chu, Jifeng

AU - Yang, Aijun

N1 - Publisher Copyright: © Beijing Paike Culture Commu. Co., Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - When internal faults occur in GIS equipment, such as spark discharge or corona discharge, it can cause SF6 gas to decompose and generate characteristic decomposition products such as SO2. The severity of discharge faults can be evaluated by measuring the concentration of SO2. However, current SO2 gas sensors on the market have limitations in terms of volume and sensitivity to specific gases, making it difficult to meet all needs. In response to this issue, this article has developed a dual channel SO2 detection system based on non dispersive infrared (NDIR) technology, which can accurately detect SO2 in SF6 gas environment and ensure that the detection results are not affected by other interfering gases. In addition, by simulating the decomposition of SF6 gas under different intensity spark discharge conditions, this article collected SO2 decomposition products of different concentrations. The comparative test results using gas chromatography show that the designed SO2 detection device has very high detection accuracy, with a maximum error of only ±7 ppm. This result validates the significant potential and advantages of the detection device in online monitoring of discharge faults in GIS equipment.

AB - When internal faults occur in GIS equipment, such as spark discharge or corona discharge, it can cause SF6 gas to decompose and generate characteristic decomposition products such as SO2. The severity of discharge faults can be evaluated by measuring the concentration of SO2. However, current SO2 gas sensors on the market have limitations in terms of volume and sensitivity to specific gases, making it difficult to meet all needs. In response to this issue, this article has developed a dual channel SO2 detection system based on non dispersive infrared (NDIR) technology, which can accurately detect SO2 in SF6 gas environment and ensure that the detection results are not affected by other interfering gases. In addition, by simulating the decomposition of SF6 gas under different intensity spark discharge conditions, this article collected SO2 decomposition products of different concentrations. The comparative test results using gas chromatography show that the designed SO2 detection device has very high detection accuracy, with a maximum error of only ±7 ppm. This result validates the significant potential and advantages of the detection device in online monitoring of discharge faults in GIS equipment.

KW - GIS equipment

KW - NDIR sensors

KW - SO detection device

KW - Spark discharge

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SN - 9789819613823

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BT - The Proceedings of the 19th Annual Conference of China Electrotechnical Society - Volume III

A2 - Yang, Qingxin

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A2 - Yang, Xu

PB - Springer Science and Business Media Deutschland GmbH

T2 - 19th Annual Conference of China Electrotechnical Society, ACCES 2024

Y2 - 20 September 2024 through 22 September 2024

ER -

Liu L, Luo P, Yin Z, Su T, Liu C, Chen Y et al. High-Precision SO₂ Detection in GIS Equipment Based on NDIR Sensor. In Yang Q, Bie Z, Yang X, editors, The Proceedings of the 19th Annual Conference of China Electrotechnical Society - Volume III. Springer Science and Business Media Deutschland GmbH. 2025. p. 622-628. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-96-1383-0_65