激光诱导击穿光谱对绝缘子污秽元素组成和含量的快速原位检测
LIBS for Rapid In-Situ Detection of the Composition and Content of Insulator Fouling Elements
摘要: 绝缘子污秽检测对电力系统安全、稳定运行意义重大,传统测污方法存在操作不便、无法在线原位检测等问题。本研究将激光诱导击穿光谱(LIBS)技术应用于绝缘子污秽元素组成及含量的检测,构建远程检测系统,在3米距离下对绝缘子样品表面多点位进行激光激发,获取光谱信息并开展定性定量分析。结果显示,LIBS系统可非接触式有效测定污秽中的Al、Si、Na、Mg、Ca等多种元素,通过标准曲线法实现元素定量分析,各元素定量曲线的R²均超过0.85,对Ca及Mg元素的定量相对标准偏差分别为5.58%及9.78%。基于污秽成分量化分析,能够构建以元素成分为基础的污秽治理与溯源技术体系,结合区域环境数据可解析污染源分布及迁移规律,为电力系统防污闪方案设计与区域环境污染综合治理提供科学决策依据。
Abstract: The detection of insulator fouling is of great significance for the safe and stable operation of power systems. Traditional fouling detection methods have problems such as inconvenient operation and the inability to perform online in-situ detection. In this study, the Laser-Induced Breakdown Spectroscopy (LIBS) technology was applied to detect the elemental composition and content of insulator fouling. A remote detection system was constructed to carry out laser excitation on multiple points of the insulator sample surface at a distance of 3 meters, so as to obtain spectral information and conduct qualitative and quantitative analysis. The results demonstrate that the LIBS can effectively detect multiple elements in contaminants in a non-contact manner, including Al, Si, Na, Mg, and Ca. Quantitative analysis of these elements was achieved using the standard curve method, with R² values exceeding 0.85 for all calibration curves. The relative standard deviations (RSD) for quantitative determination of Ca and Mg were 5.58% and 9.78%, respectively. Based on quantitative contaminant composition analysis, a technical framework for contaminant management and source tracing can be established using elemental composition data. Combined with regional environmental data, this system can analyze the distribution and migration patterns of pollution sources, providing a scientific basis for decision-making in designing anti-pollution flashover measures for power systems and comprehensive environmental pollution control in regional areas.
参考文献
|
[1]
|
李俊男. 风电场集电线路隐患放电识别特性研究[J]. 自动化应用, 2025, 66(9): 134-137.
|
|
[2]
|
李成学, 何文辉, 李宁, 等. 扬尘条件下带电污秽颗粒对绝缘子电位和电场分布的影响研究[J]. 机电信息, 2024(23): 26-29.
|
|
[3]
|
白张, 岳嵩, 王浩, 等. 污秽分布对绝缘子串温度场影响[J]. 电工技术, 2023(23): 185-188.
|
|
[4]
|
王亚平, 李智辉, 阿思亚, 等. 高电场下直流绝缘子表面积污特性研究[J]. 山东电力技术, 2024, 51(8): 78-84.
|
|
[5]
|
杨征, 王海燕, 陈硕, 等. 不同盐密灰密对环氧树脂绝缘件污秽闪络特性影响研究[J]. 河南电力, 2019(S1): 52-55.
|
|
[6]
|
白璐, 高嵩, 温涛源, 等. 徐州水泥污秽区悬挂绝缘子的污秽物特性[J]. 中国电力, 2018, 51(12): 107-113.
|
|
[7]
|
杏艳, 李茂刚, 念娟妮, 等. 激光诱导击穿光谱结合机器学习的土壤沉积物重金属元素定量分析方法研究[J]. 分析测试学报, 2025, 44(6): 1115-1122.
|
|
[8]
|
孙兰香, 于海斌. 利用激光诱导击穿光谱对铝合金成分进行多元素同时定量分析[J]. 光谱学与光谱分析, 2009, 29(12): 3375-3378.
|
|
[9]
|
王乃啸, 王希林, 覃歆然, 等. 激光诱导击穿光谱结合CARS-PLSR法快速定量检测绝缘子污秽[J]. 中国电机工程学报, 2020, 40(4): 1378-1386, 1428.
|
|
[10]
|
李勋, 吕启深, 艾精文, 等. 基于激光诱导击穿光谱的装置参数优化与硅橡胶材料的主组分分析[J]. 智慧电力, 2019, 47(1): 72-76, 93.
|