Product Details
Power Grid Quadruped Inspection Robot
Intelligent robot technology and smart grid have become the forefront of technological innovation. Although the intelligent inspection technology has been applied in the power industry, the existing wheeled robot inspection technology still faces the limitations of complex terrain adaptation and cannot meet the needs of the whole station inspection coverage.
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Power Grid Quadruped Inspection Robot
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Revolution in Power Operations: How DKNC Quadruped Robots Redefine Energy Security
In high-risk, high-difficulty, and high-frequency power scenarios—such as high-voltage substations, underground cable tunnels, and Gobi transmission corridors—traditional manual inspections face three critical challenges: high personnel safety risks (electrocution, suffocation, falls), low operational efficiency (night/extreme weather gaps), and surging hidden costs (fault escalation due to missed defects). DKNC, driven by Embodied Intelligence, deploys its Jueying X30 and Wildcat M20 quadruped robot solutions, becoming a strategic partner for industry leaders like State Grid and China Southern Power Grid in intelligent transformation.
1.Deep Scenario Adaptation: Solving the "Impossible Triangle" of Power Operations
Pain Points | CloudDeep Solutions | Verified Outcomes |
Extreme Environment Operation | ▶ IP65 protection + Wide-temperature operation (-20°C~55°C) | 8-hour continuous inspection in sandstorms at Xinjiang 110kV substation |
Complex Terrain Traversal | ▶ 30° slope climbing + 15cm step crossing | 100% terrain coverage at Guangdong substation |
Prolonged Continuous Inspection | ▶ Hot-swap battery (3-min replacement) | Day-night shift rotation at Zhejiang converter station |
Technical Breakthrough:
Wildcat M20’s "Auto-Switch Wheel-Leg Mechanism"—30km/h wheeled cruising on flat ground (4× efficiency boost), auto-switching to legged mode for obstacles—solves the "last-meter" inspection challenge in dense substation areas.
2.Intelligent Diagnosis: From "Visibility" to "Understanding"
Multimodal Perception Fusion
Infrared Thermal Imaging: 0.1°C sensitivity, pinpointing overheating risks (e.g., faulty disconnectors)
LiDAR SLAM: Centimeter-accurate point cloud modeling, real-time 3D digital twin for tunnels
Acoustic Diagnostics: ≥95% accuracy in identifying mechanical faults (e.g., transformer abnormal noise)
Autonomous Decision Engine
Emergency Response: Auto-approach for multi-angle imaging & alerts upon detecting smoke/oil leaks
Adaptive Navigation: <5cm positioning error under strong EMI (±800kV converter stations)
Swarm Collaboration: "Multi-dog per station" task system boosts global efficiency by 80%
3.Industry-Leading Cases: Defining New Standards for Power Inspection
3.1. Global Benchmark: Singapore Power Grid (SP Group)
Challenge: Narrow underground tunnels (<1m diameter), methane accumulation, high-risk manual entry
Solution: Explosion-proof gas sensors on customized Jueying X30 "SPock" for hazardous zones
Results: ▶ 480 saved labor-hours/year ◉ Automated digital work orders ◉ SP Group global certification
3.2. Domestic Breakthrough: ±800kV UHV Converter Station
Milestone: 1,000+ hours failure-free operation under intense electromagnetic fields
Smart Management: Cloud platform monitors real-time battery, tasks, and device health
Economic Impact: 6 high-risk positions reduced per station, 40% lower O&M costs
3.3. Frontier Mission: Xinjiang Unmanned Transmission Inspection
Operated at -25°C; laser SLAM navigation without GPS
Detected tower foundation tilt buried by sandstorms, preventing cross-regional blackouts
Market Leadership:
85% domestic power inspection share,
covering 500+ substations across 34 provinces,
12% higher fault-alert accuracy than industry average.
3.4.Technological Moat: Self-Developed "China Core"
Joint Modules: In-house high-torque-density motors (300N·m peak) + precision harmonic reducers (>100k-hour lifespan)
Algorithm Core:
Motion Control: Hierarchical reinforcement learning for dynamic gait optimization (<10ms latency)
Embodied Intelligence: Auto-generates new skills for environmental changes (e.g., anti-slip gaits on ice)
Standard Authority: Led 8 national standards (e.g., Inspection Robot Safety Requirements), 100+ patents
4. Future Evolution: From "Labor Replacement" to "Ecosystem Transformation"
Wildcat M20 2025 Upgrades:
Live-Work Operations: Robotic arm modules for insulator cleaning/bolt tightening
Predictive Maintenance: AI forecasts equipment degradation 14 days ahead
Energy IoT Node: 5G-enabled real-time data sync with grid dispatch systems
Industry Forecast: With NEA’s Smart Inspection Robot Guidelines, DKNC will shift power O&M from "periodic maintenance" to "all-condition monitoring," projected to reduce 60% accidents and 50% costs by 2030.
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