摘要
文章深入探究智能声纹识别技术在电力设备管理领域的应用潜力与面临的挑战。针对故障声纹样本完整性不足和监测方式选择困难这两大核心问题进行深度探讨。进一步构建基于该技术的电力设备管理系统整体架构,并详细阐述在变压器运行、变电站数字化运维、高压输电线路巡检等关键应用场景中的实践模式。通过理论与实践的融合,揭示智能声纹识别技术如何推动电力设备管理向智能化深度转型,为行业发展提供创新思路与方向指引。
This article explores the potential and challenges of intelligent voiceprint recognition technology in thefield of power equipment management.In-depth discussions will be conducted on the two core issues of insufficient integrity of fault voiceprint samples and difficulty in selecting monitoring methods.Further construct the overall architecture of the power equipment management system based on this technology,and elaborate on the practical modes in key application scenarios such as transformer operation,digital operation and maintenance of substations,and inspection of high-voltage transmission lines.Through the integration of theory and practice,this study reveals how intelligent voiceprint recognition technology can promote the deep transformation of power equipment management towards intelligence,providing innovative ideas and direction guidance for industry development.
出处
《电力系统装备》
2025年第2期41-43,共3页
Electric Power System Equipment
关键词
电力设备管理
智能声纹识别
故障监测
应用场景
power equipment management
intelligent voiceprint recognition
fault monitoring
application scenarios
