🌐 Power Distribution Room Inspection Robot — One-Pager (English Version)
Indoor Autonomous Inspection · Electrical Safety · AI Analytics for Power Infrastructure
Power Distribution Room Inspection Robot
Designed for Indoor Electrical Facilities · Autonomous Patrol · Multi-Sensor Inspection
This robot is purpose-built for indoor power distribution rooms, electrical equipment rooms, data center power modules, industrial substations, inverter rooms, and utility buildings.
It performs autonomous patrols, detects abnormal electrical conditions, provides real-time imaging and thermal inspection, and integrates seamlessly with Inspur cloud AI for automated report generation.
It is ideal for Saudi Arabia’s industrial parks, utilities, airports, data centers, renewable energy facilities, and harsh-environment O&M scenarios where high temperature and manpower scarcity are critical issues.
CORE HIGHLIGHTS
- Indoor autonomous navigation using LiDAR SLAM
- Infrared thermal imaging for breaker & cable hotspot detection
- 4K visual inspection for gauges, meters, indicator lights, switch positions
- Acoustic sensors for abnormal noise detection in transformers or switchgear
- Environmental sensing: temperature, humidity, gas, smoke
- Supports night-time operation & low-light recording
- Auto-charging dock for 24/7 duty cycles
- AI defect detection via Inspur Cloud models
- Suitable for confined, indoor, and high-risk electrical environments
APPLICATION SCENARIOS
1. Electrical Distribution Room Patrol
Targets:
- Low-voltage & medium-voltage switchgear
- Power distribution cabinets
- ATS / UPS systems
- Transformer compartments
- MCC cabinets
Value: Reduces manpower load and ensures standardized inspections.
2. Thermal Abnormality & Hotspot Detection
Detects:
- Contact resistance heating
- Cable terminal temperature rise
- Circuit breaker overheating
Value: Prevents fire risks and equipment failure.
3. Indicator and Meter Reading Automation
- Switch position verification
- Indicator light status detection
- Digital/analog meter OCR
Value: Eliminates manual log-keeping errors.
4. Environmental Safety Monitoring
- Smoke detection
- Harmful gas monitoring
- High-temperature alarm
Value: Protects unmanned substations and industrial facilities.
TECHNICAL SPECIFICATIONS
| Item | Specification |
|---|---|
| Navigation | LiDAR SLAM + depth camera |
| Imaging | 4K RGB camera + thermal imaging |
| Sensing | Temperature, humidity, smoke, harmful gas |
| Audio Detection | Abnormal noise recognition |
| Communication | WiFi / 4G / optional wired docking |
| Battery Life | Multi-hour operation, auto-docking charge |
| Chassis | Compact indoor industrial chassis |
| Control | Autonomous patrol + manual control |
VALUE TO OPERATORS
- Maximizes electrical facility safety via continuous monitoring
- Reduces O&M manpower requirements by up to 70%
- Improves inspection frequency from monthly to hourly if needed
- AI-driven defect recognition reduces human error
- Early detection of faults minimizes outage risk
- Ideal for utilities, industrial zones, data centers, airports, renewable energy plants
Download: Power_Distribution_Room_Inspection_Robot_Specs.pdf
配电房巡检机器人 — 一页纸(中文正式版)
配电房巡检机器人
室内自主巡检 · 电气异常检测 · 电力设施智能运维专用机器人
配电房巡检机器人适用于 配电房、变电所、机房、数据中心供配电模块、逆变室、厂区电气室、公共建筑电气间 等场景。
机器人能够自主巡航,对电气设备进行可见光、红外、声音、环境等多维度检测,并通过浪潮云平台实现自动化巡检分析与报告生成。
核心亮点
- 室内自主导航(激光雷达 SLAM)
- 红外热成像检测电气热点
- 4K 高清巡检:表计读数、指示灯、开关位置
- 声音异常检测:识别变压器/开关设备异响
- 多传感环境监测:温湿度、烟雾、有害气体
- 弱光/夜间工作能力
- 24/7 工作 + 自动充电底座
- AI 自动分析与报警(浪潮平台)
- 适应狭窄空间、高温环境等室内复杂工况
典型应用场景
1. 配电房/机房日常巡检
适用于:
- 高低压开关柜
- 配电柜
- ATS/UPS
- 变压器区
- MCC 柜
- *价值:**巡检标准化、降低现场运维负担。
2. 热点异常检测
可识别:
- 接触电阻发热
- 电缆头温升
- 断路器过热
- *价值:**提前预警火灾及故障风险。
3. 指示与表计自动识别
- 开关状态自动识别
- 指示灯亮灭检测
- 表计自动 OCR 识别
- *价值:**减少人工记录错误,提升巡检效率。
4. 环境安全监测
- 烟雾报警
- 有害气体监测
- 高温报警
- *价值:**保障无人值守电力场站安全。
技术参数
| 项目 | 参数 |
|---|---|
| 导航方式 | 激光雷达 SLAM + 深度摄像头 |
| 成像系统 | 4K 可见光 + 红外热成像 |
| 环境监测 | 温湿度、烟雾、有害气体 |
| 声音检测 | 异响识别 |
| 通信方式 | WiFi / 4G / 可选有线对接 |
| 续航时间 | 多小时连续巡检 |
| 充电方式 | 自动回充底座 |
| 控制模式 | 自主巡检 + 远程控制 |
为电力用户带来的价值
- 显著提高电气运维的安全性
- 巡检频次大幅提升,实现“小时级”监控
- 异常预警及时,降低停电与事故风险
- AI 自动分析减少人工巡检误差
- 大幅降低 O&M 成本,适用于大规模场站