CASE C11 · ·
C-Bird：用两架无人机对一艘船的 12 个油舱进行目视和超声波检查
船舶检测公司 C-Bird 用两架带保护笼的无人机在7天内完成了12个油舱的目视和 UT 检测。避免了脚手架和高处作业，两名飞手的团队取代了大批人员。数字来自制造商文章，未说明船名和地点，且仍需船级社验船师指导作业。
| 业主 | Ship owner (not named; medium-sized ship with 12 oil tanks) |
| 服务商 | C-Bird |
| 地点 | Not stated |
| 机型 | 2 × Flyability Elios 3 (one visual, one with UT payload) |
| 传感器 | ultrasonic thickness (UT) probe, 4K video, LiDAR |
引入前
在干船坞内搭设脚手架和使用高空作业平台（MEWP），作业人员 16–30 人；一艘 15 年船龄油轮的脚手架费用估计为 300,000–700,000 美元。
引入无人机后
一架无人机进行目视检查，另一架进行 UT 测厚，由船级社验船师指挥并核验。
成果
| 指标 | 数值 | 依据 |
|---|---|---|
| duration | UT and visual inspection of 12 tanks within 7 days | 报告值 |
| crew | 2-person piloting team vs crews of 16+ | 报告值 |
| work hours avoided | title claims 15,000 hours; body says 'thousands of hours' | 报告值 |
| class acceptance | ABS recognised C-Bird as a service supplier for ESP hull gauging by drone | 报告值 |
注意事项与局限
- Manufacturer case study; ship owner, location and year are not stated.
- The 15,000-hour headline is not supported by a breakdown in the text.
- A class surveyor still had to direct and verify measurements; the UT payload was in beta at the time.
来源
来源已核对: 2026-10-22