🌐 Wind Turbine Blade Internal Inspection Robot — One-Pager (English Version)
High-Precision · Internal Blade Health Assessment · Autonomous Operation
Wind Turbine Blade Internal Inspection Robot
Internal Defect Detection · Non-Destructive Testing · Faster & Safer Blade Inspection
This robotic system is engineered for the internal structure inspection of wind turbine blades, providing high-precision imaging and defect analysis without requiring technicians to enter confined spaces.
Designed for modern wind farms, the robot delivers rapid deployment, autonomous movement, and AI-enhanced defect identification, solving the industry’s most challenging O&M problem: internal blade damage detection.
CORE HIGHLIGHTS
- Enters blade interior for full-length inspection
- High-definition optical imaging for cracks, delamination, moisture
- Infrared thermal sensing for early-stage structural anomalies
- 360° environmental perception inside blade cavity
- Lightweight, compact, and foldable for easy transport and insertion
- Real-time wireless data transmission
- AI-assisted defect recognition (integrates with Inspur Cloud models)
- Supports all major turbine brands (GE, Siemens Gamesa, Vestas, Goldwind)
APPLICATION SCENARIOS
1. Blade Internal Structural Integrity Inspection
Detects:
- Internal cracks
- Bonding defects
- Resin voids
- Delamination
- Moisture and water ingress
Value: Replaces dangerous confined-space manual entry; improves inspection accuracy.
2. Damage Assessment After Extreme Weather
- Sandstorm erosion
- Lightning strike assessment
- Typhoon impact checks
Value: Enables rapid inspection and downtime reduction.
3. Long-Term Health Monitoring for Aging Blades
- Prevents catastrophic blade failure
- Enables condition-based maintenance
- Supports turbine lifetime extension
Value: Lower O&M cost and fewer unexpected outages.
TECHNICAL SPECIFICATIONS
| Item | Specification |
|---|---|
| Mobility | Crawler / wheeled movement inside blade cavity |
| Imaging | 4K optical camera + optional thermal camera |
| Illumination | High-intensity LED for dark interiors |
| Sensors | Temp, humidity, structural vibration |
| Communication | Wireless / cable-based real-time feed |
| Power | Long-life battery |
| Dimensions | Compact form factor for narrow blade entry |
| Control | Remote operation + automatic inspection mode |
VALUE TO WIND FARM OPERATORS
- Eliminates need for technicians to enter confined blade space
- Inspects full blade length in minutes, not hours
- Enhances defect detection accuracy through multi-modal sensing
- Integration with Inspur AI analytics for automatic report generation
- Reduces O&M manpower cost and enhances turbine availability
Download: Wind_Turbine_Blade_Internal_Inspection_Robot_Specs.pdf
风机叶片内部检测机器人 — 一页纸（中文正式版）
风机叶片内部检测机器人
内部结构检测 · 无损检测（NDT）· 快速、安全、高精度巡检
本机器人专为 风电叶片内部结构巡检开发，替代传统人工进入狭窄叶片腔体的高危险作业，实现内部缺陷的高清成像与智能识别。
设备具备 自动前进、实时图像采集、多传感融合与AI缺陷识别等能力，是风电运维的关键智能化装备之一。
核心亮点
- 可进入叶片内部进行全长巡检
- 高清摄像头识别裂纹、脱胶、空洞、层间分离
- 热成像检测早期结构异常
- 内部 360° 感知系统提升检测精度
- 机体轻巧、可折叠，便于携带及叶片入口插入
- 图像与数据实时回传
- 可与 浪潮 AI 平台联动进行自动缺陷识别
- 支持各主流风机型号：GE、维斯塔斯、西门子歌美飒、金风等
典型应用场景
1. 风机叶片内部结构完整性检测
检测内容包括：
- 内部裂纹
- 胶合层脱粘
- 树脂空洞
- 层间分离
- 水汽侵入
- *价值：**无需人工进入狭窄空间，检测更精确更安全。
2. 极端天气后的损伤评估
- 沙尘腐蚀
- 雷击损伤检查
- 强风冲击后的结构检测
- *价值：**快速恢复风机状态评估，减少停机损失。
3. 老旧风机长期健康监测
- 防止叶片断裂事故
- 支持按需维护（CBM）
- 延长叶片及风机寿命
- *价值：**降低O&M成本，提升风电场可用率。
技术参数
| 项目 | 参数 |
|---|---|
| 移动方式 | 内腔履带 / 轮式运动机构 |
| 成像系统 | 4K 可见光 + 选配热成像 |
| 照明系统 | 高亮度LED补光 |
| 检测传感器 | 温湿度、振动、结构异常采集 |
| 通信方式 | 无线 / 有线实时图传 |
| 电源 | 长续航电池 |
| 尺寸 | 小型化、便于进入叶片入口 |
| 控制方式 | 远程操控 + 自动巡检 |
为风电场带来的价值
- 避免人工进入叶片内部的高风险作业
- 几分钟完成整支叶片内部巡检
- 多传感器融合提升缺陷识别准确率
- 可与浪潮 AI 系统自动生成巡检报告
- 降低长期运维成本，提高风机发电可用率