Journal of Electrical Engineering and Automation
Journal of Electrical Engineering and Automation. 2025; 4: (7) ; 10.12208/j.jeea.20250225 .
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国网江西省电力有限公司彭泽县供电分公司 江西九江
*通讯作者: 吴吏衷,单位:国网江西省电力有限公司彭泽县供电分公司 江西九江;
电力作业现场具有高风险和高复杂性,传统的安全管控手段在信息传递及时性与作业过程透明化方面存在不足。为应对这一问题,设计并实现了一种智能安全管控平台,结合物联网、人工智能与大数据分析技术,对作业人员、设备状态及环境因素进行实时监测与风险评估。平台通过数据采集、智能预警与可视化决策支持,实现作业全过程的动态管控与安全闭环。该系统有效提升了现场安全管理水平,降低了事故发生概率,推动了电力作业现场由被动管理向主动防控的转变,为构建高效、智能、安全的电力作业新模式提供了技术支撑。
Electric power work sites present high risks and operational complexities. Traditional safety management methods often fail to ensure timely information transmission and maintain operational transparency. To address these challenges, we have developed an intelligent safety management platform that integrates IoT, AI, and big data analytics for real-time monitoring of personnel status, equipment conditions, and environmental factors, along with risk assessment. Through data collection, smart alerts, and visual decision support, the platform enables dynamic control and closed-loop safety management throughout the entire workflow. This system significantly enhances on-site safety management capabilities, reduces accident risks, and facilitates the transition from passive management to proactive risk prevention in power operations. It provides technical support for establishing an efficient, intelligent, and secure new model for electric power work environments.
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