Investigation Into the Detection of Polyvinyl Chloride Pyrolysis Particles in 10-kV Switchgear Using a Laser Particle Sensor

Polyvinyl chloride (PVC) is extensively utilized in medium-voltage (MV) switchgear and is recognized as a fundamental material that contributes to switchgear fires. Currently, there is a notable deficiency in effective technical methods for the early detection of fires within MV switchgear. This study proposes a novel detection method for the incipient stages of fire and overheating defects in switchgear by monitoring the concentration of solid particles generated from the thermal decomposition of PVC materials using a laser particle sensor (LPS). This paper elaborates on the pyrolysis mechanism and process of PVC, analyzing the characteristics of both particles and gases produced during pyrolysis. Based on thermogravimetric–mass spectrometry (TG–MS) test results, gases such as HCl, CH₄, and CO are identified as characteristic gases. This study compares experimental results from corresponding gas detection sensors and LPS under varying temperature conditions. The results confirm that the detection of PVC pyrolysis particle concentration using LPS exhibits a faster response time and greater sensitivity compared to the detection of characteristic gases. Furthermore, this paper details the development of a PVC pyrolysis particle testing platform in the laboratory using the membrane weight method, and further validates the feasibility and accuracy of LPS for detecting PVC pyrolysis particle concentration through on-site testing. The experimental results demonstrate that the method proposed in this paper holds significant promise for the early detection of fires in MV switchgear.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3595252
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigation Into the Detection of Polyvinyl Chloride Pyrolysis Particles in 10-kV Switchgear Using a Laser Particle Sensor

Yue‐Ting Shao, Weisheng He, Yingkai Long, Qian Wang et al.
IEEE Transactions on Instrumentation and Measurement
Water Quality Monitoring and Analysis
article

Investigation Into the Detection of Polyvinyl Chloride Pyrolysis Particles in 10-kV Switchgear Using a Laser Particle Sensor

Yue‐Ting Shao, Weisheng He, Yingkai Long, Qian Wang, Zhaoguo Wu, Xiong Liu, Jie Qian, Zixiong Cai
article en

Abstract

Polyvinyl chloride (PVC) is extensively utilized in medium-voltage (MV) switchgear and is recognized as a fundamental material that contributes to switchgear fires. Currently, there is a notable deficiency in effective technical methods for the early detection of fires within MV switchgear. This study proposes a novel detection method for the incipient stages of fire and overheating defects in switchgear by monitoring the concentration of solid particles generated from the thermal decomposition of PVC materials using a laser particle sensor (LPS). This paper elaborates on the pyrolysis mechanism and process of PVC, analyzing the characteristics of both particles and gases produced during pyrolysis. Based on thermogravimetric–mass spectrometry (TG–MS) test results, gases such as HCl, CH₄, and CO are identified as characteristic gases. This study compares experimental results from corresponding gas detection sensors and LPS under varying temperature conditions. The results confirm that the detection of PVC pyrolysis particle concentration using LPS exhibits a faster response time and greater sensitivity compared to the detection of characteristic gases. Furthermore, this paper details the development of a PVC pyrolysis particle testing platform in the laboratory using the membrane weight method, and further validates the feasibility and accuracy of LPS for detecting PVC pyrolysis particle concentration through on-site testing. The experimental results demonstrate that the method proposed in this paper holds significant promise for the early detection of fires in MV switchgear.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Chongqing University of Posts and Telecommunications (CN), State Grid Corporation of China (China) (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing
Affordable and clean energy
Openalex Percentile: Top 76%
Water Quality Monitoring and Analysis
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