摘要
                
                    随着电网规模的扩大和智能化水平的提升,变电设备的健康状态监测变得尤为重要。本研究旨在探讨基于多模态感知的变电设备健康状态监测技术,通过融合多种传感器数据,实现设备状态的全面、实时、准确监测,重点分析多模态感知技术的原理、方法及其在变电设备监测中的应用,并评估该技术的有效性和可行性。实验结果表明,该技术能显著提升变电设备状态监测的准确性和效率,为电网的安全稳定运行提供了有力保障。
                
                With the expansion of power grid scale and the improvement of intelligence level,the health status monitoring of substation equipment has become particularly important.This study aims to explore the health status monitoring technology of substation equipment based on multimodal perception,by integrating multiple sensor data,comprehensive,real-time,and accurate monitoring of equipment status can be achieved.The research focuses on analyzing the principles,methods,and applications of multimodal sensing technology in substation equipment monitoring,and evaluates the effectiveness and feasibility of this technology.The experimental results show that this technology can significantly improve the accuracy and efficiency of monitoring the status of substation equipment,providing strong guarantees for the safe and stable operation of the power grid.
    
    
                作者
                    卢尧
                    傅慧华
                    姜春娇
                LU Yao;FU Huihua;JIANG Chunjiao(Nantong Power Supply Branch of State Grid Jiangsu Electric Power Co.,Ltd.,Nantong 226000)
     
    
    
                出处
                
                    《现代制造技术与装备》
                        
                        
                    
                        2024年第S2期107-109,共3页
                    
                
                    Modern Manufacturing Technology and Equipment
     
    
                关键词
                    多模态感知
                    变电设备
                    健康状态监测
                    传感器融合
                    智能化
                
                        multimodal perception
                        substation equipment
                        health status monitoring
                        sensor fusion
                        intelligence