iRunYu Rail Bolt Oiling Robot
AI-powered automatic rail fastener lubrication system. Computer vision + high-pressure spraying + Beidou positioning delivers precise, quantifiable bolt maintenance — replacing labor-intensive manual brushing with 24/7 autonomous operation.
- AI visual bolt detection with precision spraying
- Fully autonomous operation with real-time path control
- Beidou high-precision positioning + digital reporting
- High-pressure grease technology — no dilution needed
- Significant labor cost reduction & quality consistency
Product Overview
Purpose-built for railway rail bolt lubrication maintenance, the iRunYu robot autonomously identifies fasteners and applies high-pressure grease — ensuring uniform, quantifiable coating on every bolt.
The iRunYu Rail Bolt Oiling Robot is a specialized industrial robot designed exclusively for railway track bolt lubrication and maintenance. It addresses the longstanding challenge of labor-intensive, inconsistent manual bolt greasing in railway maintenance.
Leveraging AI and edge computing vision technology, the robot uses deep learning algorithms to precisely locate rail bolts and deliver high-pressure grease spray — achieving accurate, quantitative, one-step automatic oiling of rail fasteners.
Integrated with IoT technology, Beidou high-precision positioning, and visual assistance, the system automatically generates oiling plans and provides full digital LBS status visualization of track bolts, forming a big-data maintenance and inspection report based on weather, temperature, and traffic conditions at each location.
Why Traditional Bolt Oiling Falls Short
Manual bolt lubrication has been the bottleneck of railway maintenance quality and efficiency for decades.
⚠️ Poor Working Conditions
Workers must bend over and use hand brushes to apply oil to bolts in harsh outdoor environments along extended railway lines, leading to high fatigue and safety risks.
⚠️ High Labor Intensity
Workers carry oil buckets and tools along kilometers of track. One worker can only cover a limited distance per shift, making large-scale maintenance slow and expensive.
⚠️ Low Efficiency
Manual brushing is inherently slow. With increasing train speeds and traffic density, maintenance windows are shrinking while the workload keeps growing.
⚠️ Inconsistent Quality
Coating quality depends entirely on worker skill and attention. Under-oiling leads to corrosion and seizing; over-oiling wastes lubricant and causes environmental issues. No quality traceability exists.
Key Features & Advantages
Four core advantages that transform rail bolt maintenance from a manual chore into a smart, data-driven operation.
Reliable Coating Quality
High-pressure spraying technology works with standard grease without dilution, ensuring lubricant quality and uniform, secure coverage on every bolt surface.
High Efficiency, Simple Operation
Fully autonomous operation without manual intervention. Features real-time path control, automatic return, and straightforward deployment — minimal training required for field teams.
Consistent Job Quality
System-controlled quantitative spraying ensures every bolt receives the same amount of lubricant at the same position — eliminating human error and guaranteeing uniform quality across the entire line.
Maintenance Reports & Tracking
Automatic generation of big-data maintenance and inspection reports reduces manual record-keeping, improves accuracy, and enables full lifecycle management of every bolt on the network.
Watch It in Action
From manual brushing to AI-powered automation — see how the iRunYu robot transforms rail bolt maintenance.
Full Product Introduction Video (1:07)
Railway Yard Field Test
Spraying Mechanism Close-up
Core Technology
Cutting-edge AI vision, high-pressure fluid dynamics, and IoT positioning come together in a single robust platform.
- AI Vision SystemDeep Learning + Edge Computing
- PositioningBeidou High-Precision GNSS
- Spraying MethodHigh-Pressure Grease Injection
- Lubricant TypeStandard Grease (no dilution)
- Operation ModeFully Autonomous
- Control InterfaceTouchscreen HMI (MCGS)
- NavigationRail-Mounted Autonomous Drive
- Data OutputDigital Maintenance Reports
Smart Maintenance & Inspection Reporting
Beyond the physical oiling operation, the iRunYu system delivers a complete digital management layer that transforms how railway maintenance teams work.
By fusing IoT data, Beidou positioning, and visual recognition, every bolt’s condition and maintenance history is recorded with precise location data — creating a track bolt digital twin that can be monitored and managed over time.
- Automatic oiling plan generation based on route and condition
- Full digital LBS status visualization of all track bolts
- Big-data analysis integrating weather, temperature & traffic
- Maintenance & inspection report auto-generation
- Reduced manual data entry and improved record accuracy
- Effective bolt lifecycle tracking and management
Product Gallery
3D renderings and prototype photos of the iRunYu Rail Bolt Oiling Robot.
Applications
Suitable for a wide range of rail network types and maintenance scenarios.
High-Speed Rail
Precision bolt maintenance for high-speed rail networks where consistent fastening torque and corrosion prevention are safety-critical.
Heavy-Haul Lines
Efficient servicing of heavy-haul freight corridors with high bolt wear rates and extended track distances per maintenance window.
Urban Transit & Metro
Compact design ideal for subway and urban rail systems with tight maintenance windows and high service frequency.
Railway Construction
Initial bolt anti-corrosion treatment during new line construction — sets a quality baseline from day one of operation.
Maintenance Depots
Routine servicing of depot tracks, turnouts, and special trackwork where manual access and positioning are challenging.
Mining & Industrial Rail
Heavy-industry and mining rail networks operating in harsh environments with accelerated bolt corrosion rates.
Ready to Automate Your Rail Bolt Maintenance?
Contact our team to learn how the iRunYu Rail Bolt Oiling Robot can reduce your maintenance costs while improving quality and safety.
