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基于有元法的复杂作业环境下安全区域生成技术

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电力生产智能化和数字化发展,需准确获取人员和设备在工作场景中的三维位置信息,以便精确测算人与设备之间的距离,确保安全区域的设立.因此,提出基于有元法的复杂作业环境下安全区域生成技术.通过对人体体表电场模型及各种典型危险区域的研究,生成作业安全区域的监测方案.对于超出安全区等危险行为,触发报警和控制系统,实现立体防控措施,如警示灯、声音警报等.采用有限元法建立配电线路和人体模型进行电磁场仿真,通过分析典型电器设备周围的电磁场分布,在仿真中加入人体模型以监测引入人体后电磁场的变化,进而提出安全作业方式,依据这些数据采取相应的保护措施.实验结果表明,这种方法可以为实现人员安全管控提供有力的技术支持.
Safe Zone Generation Technology in Complex Work Environment Based on Finite Element Method
Current power generation operations are advancing towards intelligence and digitization,necessitating accurate positioning of personnel and equipment in three-dimensional work environments.This capability ensures precise measurement of distances between individuals and equipment to establish safety zones.This paper proposes a safety zone generation technique based on the finite element method for complex operational environments.Through research on human body surface electric field models and typical hazardous area designs,simulations using various complexities of electric and human body three-dimensional models determine hazardous areas for live working and devise monitoring schemes for operational safety zones.Alerts and control systems are triggered for hazardous behaviors or exceeding safety zones,employing three-dimensional preventive measures such as warning lights and sound alarms.Finite element simulations of electromagnetic fields around distribution lines and human body models are used to analyze field distributions,integrating human models to monitor changes in electromagnetic fields upon human presence,thereby determining necessary safety distances to decide on protective measures.Experimental results demonstrate the effectiveness of this method in precise control,providing robust technical support for implementing safety management systems.

meta methodcomplex work environmentsafety zone3D modellive work

班国邦、邱伟、杜昊、黎安俊、席光辉、何雨旻、周骏超

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贵州电网有限公司电力科学研究院,贵州 贵阳 550002

贵州创星电力科学研究院有限责任公司,贵州 贵阳 550081

贵州大学电气工程学院,贵州贵阳 550025

有元法 复杂作业环境 安全区域 三维模型 带电作业

南方电网有限责任公司科技项目

GZKJXM20222338

2024

电力大数据
贵州电力试验研究院 贵州省电机工程学会

电力大数据

影响因子:0.047
ISSN:2096-4633
年,卷(期):2024.27(5)