基于 DeepSeekR1 与 RPA 双引擎的电力运维智能决策方法及 系统实现
Journal: Engineering Technology Development DOI: 10.32629/etd.v6i5.16914
Abstract
在全球能源革命与我国“双碳”目标驱动下,电力行业向新型电力系统转型过程中,多源异构故障数据的高效处理与动态决策成为关键技术瓶颈。为此,融合深度求索1(DeepSeekR1)模型与机器人流程自动化(Robotic Process Automation,RPA)技术,构建“数据深加工厂+智能决策大脑”双引擎架构,通过“智能判据+动态过滤”机制与全流程自动化闭环,解决传统模式中信息处理低效、决策支撑碎片化及执行断层问题。该架构设计哈希指纹比对算法(重复数据剔除率98%)、动态时间窗口机制(漏采率≤0。1%)及跨时段故障推演算法,实现多源数据的时空关联分析与智能研判。实验显示,故障研判准确率提升至63%(较传统规则引擎提升18个百分点),决策延迟压缩至1分钟内,为电力运维提供兼具理论创新性与工程实用性的智能决策方法。
Keywords
DeepSeekR1；RPA；电力运维；智能决策算法；双引擎协同；全流程自动化
Full Text
PDF - Viewed/Downloaded: 0 TimesReferences
[1]CHEN Xiaohong,FU Wenrun,LIU Zhaoming,et al.Discussion on applications of large-scale artificial intelligence models in power equipment operation and maintenance scenarios[J].Chinese Engineering Science,2025,27(01):180-192.
[2]ZHANG Jun, XU Jian, XU Peidong,et al.Application of large-scale artificial intelligence models in power equipment operation and maintenance scenarios[J].Engineering Jour
nal of Wuhan University,2025,27(01):180-192.
[3]CHEN Xiaohong, FU Wenrun, LIU Zhaoming, et al. Review and prospect of large-scale artificial intelligence models in power system operation and control[J]. Chinese Engineering
Science,2023,56(11):1368-1379.
[4]SUN Qiuye, YANG Lingxiao, ZHANG Huaguang. Smart ener gy: applications and prospects of artificial intelligence in power systems[J].Control and Decision,2018,33(05):938-949.
[5]TANG Wenhu, NIU Zhewen, ZHAO Baining, et al. Research and application of data-driven artificial intelligence in pow er equipment condition analysis[J]. High Voltage Engineering,2020,46(09):2985-2999.
[6]PU Tianjiao, ZHAO Qi, WANG Xinying Research framework,application status, and prospects of power artificial intelli gence technology[J].Power System Technology,2024:1-21.
[7]LI Peng, HUANG Wenqi, WANG Xin, et al. Review of dataand-knowledge-driven artificial intelligence methods in pow er dispatch[J]. Automation of Electric Power Systems, 2024,48(01):160-175.
[8]ZHAO Jinquan, XIA Xue, XU Chunlei, et al. Review of next -generation artificial intelligence technologies in power system dispatch[J].Automation of Electric Power Systems,2020,44(24):1-10.
[9]LIU Haitao, DUAN Jing, WANG Yanhua, et al.. Application analysis and architecture design of RPA+AI-based digital employees in power industry[J].Electric Power Information and Communication Technology, 2022, 20(04):88-93.
[10]YANG Ting, GENG Yinan, GUO Jinghong, et al. Applicat ions of artificial intelligence in smart sensing, communicat ion, and data processing for new power systems[J]. High Volta ge Engineering,2024,50(01):19-29.
[2]ZHANG Jun, XU Jian, XU Peidong,et al.Application of large-scale artificial intelligence models in power equipment operation and maintenance scenarios[J].Engineering Jour
nal of Wuhan University,2025,27(01):180-192.
[3]CHEN Xiaohong, FU Wenrun, LIU Zhaoming, et al. Review and prospect of large-scale artificial intelligence models in power system operation and control[J]. Chinese Engineering
Science,2023,56(11):1368-1379.
[4]SUN Qiuye, YANG Lingxiao, ZHANG Huaguang. Smart ener gy: applications and prospects of artificial intelligence in power systems[J].Control and Decision,2018,33(05):938-949.
[5]TANG Wenhu, NIU Zhewen, ZHAO Baining, et al. Research and application of data-driven artificial intelligence in pow er equipment condition analysis[J]. High Voltage Engineering,2020,46(09):2985-2999.
[6]PU Tianjiao, ZHAO Qi, WANG Xinying Research framework,application status, and prospects of power artificial intelli gence technology[J].Power System Technology,2024:1-21.
[7]LI Peng, HUANG Wenqi, WANG Xin, et al. Review of dataand-knowledge-driven artificial intelligence methods in pow er dispatch[J]. Automation of Electric Power Systems, 2024,48(01):160-175.
[8]ZHAO Jinquan, XIA Xue, XU Chunlei, et al. Review of next -generation artificial intelligence technologies in power system dispatch[J].Automation of Electric Power Systems,2020,44(24):1-10.
[9]LIU Haitao, DUAN Jing, WANG Yanhua, et al.. Application analysis and architecture design of RPA+AI-based digital employees in power industry[J].Electric Power Information and Communication Technology, 2022, 20(04):88-93.
[10]YANG Ting, GENG Yinan, GUO Jinghong, et al. Applicat ions of artificial intelligence in smart sensing, communicat ion, and data processing for new power systems[J]. High Volta ge Engineering,2024,50(01):19-29.
Copyright © 2025 刘振屹, 罗正, 廖培期
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License