传统风电场依赖人工巡检与高空作业，而同利第三风电场的运维模式已发生根本变革。风电场内遍布 5000多个巡检点位，全部由智能设备接管。无人机从机巢自主起飞，对风机叶片、线路杆塔进行全方位 扫描；四足机器人在升压站内为变压器等设备做"体检"；轨道机器人则在配电室内沿轨道精准记录仪表 数据。所有采集信息实时回传至智能运检系统，实现自动分析、预警与工单派发。 "无人并非无管，而是以智能设备替代人工巡检，用算法替代人工判断。"三峡新能源利通区五里坡发电 有限公司相关负责人介绍，以前人工巡检一台风机需2小时，如今无人机仅需40分钟，准确率超98%， 综合人效提升27%以上。系统还能自主识别故障、快速预警，安全性能提升3至5倍，每年可节约超3000 小时的巡检工时。 中新网吴忠12月17日电 (记者 于晶)12月17日，中国首个智能化无人风电场在宁夏吴忠市利通区投运。 记者在现场看到，一座总装机容量70兆瓦的风电场正在安静而高效地运转。这里没有运维人员频繁穿梭 的身影，也没有控制室彻夜的忙碌，取而代之的是无人机、四足机器人、轨道巡检机器人等300多名智 能"员工"在各司其职。 无人机从机巢自主起飞。利通区委宣传部供图 据悉 ...

Core Insights - The article highlights the successful implementation of China's first unmanned wind farm, the Sanxia Energy Ningxia Tongli Third Wind Farm, which has transitioned to a fully intelligent operation model since April 2023 [1][3]. Group 1: Management Model Transformation - Traditional wind farm operations have faced challenges such as high personnel dependency, safety risks, and low operational efficiency, necessitating a shift to intelligent operations [2][3]. - The Tongli Third Wind Farm has achieved significant operational improvements, reducing inspection time from two weeks to one week through the use of drones for routine inspections [2][3]. - The new operational model integrates data collection, analysis, decision-making, and feedback into a complete closed-loop process, enhancing management efficiency [3]. Group 2: Technological Framework - The wind farm employs a "cloud-edge-end" architecture, where the "cloud" serves as the central brain for data analysis and decision-making, the "edge" manages local operations, and the "end" consists of on-site sensors and drones [5][6]. - This architecture addresses the core pain point of traditional operations by converting engineers' experiences into transferable knowledge assets, allowing for the replication of effective practices across different sites [6][8]. Group 3: Industry Standards and Future Directions - The Sanxia Energy has initiated the publication of the first industry white paper on intelligent station construction, outlining the transition needs, system architecture, core technologies, and implementation pathways for the industry [7]. - The promotion of this white paper aims to standardize the construction and application of intelligent wind farms, facilitating a shift from scale expansion to quality improvement in the renewable energy sector [7][8]. - Future wind farm management is expected to evolve from a decentralized to a centralized model, optimizing resources across multiple sites [8].