Suzhou Electric Appliance Research Institute
期刊號(hào): CN32-1800/TM| ISSN2097-6623

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基于容器的寬帶射頻局放檢測(cè)系統(tǒng)算法集成設(shè)計(jì)

來(lái)源:電工電氣發(fā)布時(shí)間:2026-01-26 09:26 瀏覽次數(shù):0

基于容器的寬帶射頻局放檢測(cè)系統(tǒng)算法集成設(shè)計(jì)

王穎舒1, 謝榮斌1, 余信甫1, 戴雯菊1, 吳玉柱1,田文鋒2
(1 貴州電網(wǎng)有限責(zé)任公司貴陽(yáng)供電局,貴州 貴陽(yáng) 550081;
2 中國(guó)電力科學(xué)研究院有限公司,江蘇 南京 210003)
 
    摘 要:為了更好地支持空間射頻脈沖信號(hào)智能檢測(cè)終端對(duì)干擾、局放缺陷脈沖信號(hào)特征及其提取算法的自我學(xué)習(xí)和動(dòng)態(tài)升級(jí),結(jié)合智能檢測(cè)終端面臨的多傳感器融合、資源受限、信息實(shí)時(shí)處理等情況,基于輕量級(jí) Docker 容器技術(shù)架構(gòu)原理,將局放檢測(cè)算法通過(guò)輕量級(jí)容器進(jìn)行開(kāi)發(fā)、發(fā)布、部署、運(yùn)行等,并采用輕量級(jí)容器的多代理資源調(diào)度,實(shí)現(xiàn)寬帶射頻局放檢測(cè)系統(tǒng)的資源智能調(diào)度與算法的持續(xù)迭代,支撐了寬帶射頻脈沖信號(hào)檢測(cè)和實(shí)時(shí)分析裝置的研制與應(yīng)用。
    關(guān)鍵詞: 局部放電;局放檢測(cè);空間射頻;聚類分析算法;輕量級(jí)容器
    中圖分類號(hào):TM93     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):2097-6623(2026)01-0061-06
 
Algorithm Integration Design of Broadband RF Partial Discharge
Detection System Based on Containers
 
WANG Ying-shu1, XIE Rong-bin1, YU Xin-pu1, DAI Wen-ju1, WU Yu-zhu1, TIAN Wen-feng2
(1 Guizhou Power Grid Co., Ltd. Guiyang Power Supply Bureau, Guiyang 550081, China;
2 China Electric Power Research Institute Co., Ltd., Nanjing 210003, China)
 
    Abstract: In order to better support the self-learning and dynamic upgrading of spacel RF pulse signal intelligent detection terminal for interference,partial discharge defective pulse signal features and its extraction algorithm. In light of the situations faced by intelligent detection terminals, such as multi-sensor fusion, resource constraints, and real-time information processing. Based on the technical architecture principle of lightweight Docker containers, the partial discharge detection algorithm is developed, released, deployed, and run through lightweight containers. Moreover, the multi-agent resource scheduling of lightweight containers is adopted to achieve intelligent resource scheduling and continuous algorithm iteration of the broadband radio frequency partial discharge detection system. It has supported the development and application of broadband radio frequency pulse signal detection and real-time analysis devices.
    Key words: partial discharge; partial discharge detection; space RF; clustering analysis algorithms; lightweight container
 
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