Powered by deep learning and Internet of Things (IoT) technology, Cloud AI redefines crane control — voice commands, Intelligent Diagnosis, predictive maintenance, and Remote Monitoring give every crane a “smart brain” of its own.
Each module is designed around real on-site pain points — not just conceptual buzzwords, but concrete solutions to specific problems.
Supports natural language commands in both Chinese and English, allowing operators to control hoisting, travel, and rotation without a remote control — keeping hands free. Ideal for replacing close-range manual operation in harsh conditions such as high-temperature environments and dusty workshops.
Solves: lost/damaged remote controls, personnel exposure in high-temperature environmentsReal-time monitoring of 200+ parameters including motor current, vibration, and temperature. The AI model automatically identifies abnormal patterns and provides early warnings for potential issues such as brake wear, bearing faults, and electrical aging.
Solves: sudden fault shutdown, missed inspection during manual checksLeveraging historical operating data and machine learning algorithms, the system accurately predicts the remaining life of critical components such as wire ropes, brakes, and bearings, and intelligently generates maintenance plans — eliminating the reactive “fix it only after it breaks” approach.
Solves: unplanned downtime, over-maintenance or under-maintenanceAI vision identifies hook deflection, load rotation, personnel entering hazardous areas, and abnormal lifting spreader posture in real time, triggering audible and visual alarms instantly to elevate the overall safety level of the worksite.
Solves: load collisions, personnel intrusion, blind-spot operations4G/5G remote connectivity enables real-time viewing of equipment operating status, alarm information, and maintenance reminders via mobile APP or desktop. Supports remote fault diagnosis and parameter adjustment, reducing on-site service costs.
Solves: difficulty managing dispersed equipment, slow fault responseMulti-crane collaborative AI dispatching automatically assigns lifting tasks, optimizes travel paths, and avoids conflicts. Designed for complex scenarios where multiple cranes operate collaboratively in the same bay or adjacent bays.
Solves: multi-crane conflicts and waiting, low efficiencyThe following data is based on statistics from actual deployments of Kelude AI across multiple projects. Actual results may vary depending on equipment model and operating conditions.
Every industry has its own pain points. KRD AI delivers tailored smart module combinations for four key scenarios.
Pain Points: Operators are exposed to high-temperature environments, and heavy dust makes inspection difficult.
Recommended Modules: AI voice control + visual safety detection + remote operation & maintenance. Replaces manual remote control operation in high-temperature zones, reducing operator exposure time.
Pain Points: Load sway compromises positioning accuracy, and molds/final assembly demand extreme precision.
Recommended Modules: AI anti-sway control + precision positioning algorithms, reducing load sway by over 80% and achieving millimeter-level positioning accuracy.
Pain Points: Multi-gantry crane synchronized lifting across large spans is highly challenging, and coordinated hoisting of hull sections is complex.
Recommended Modules: Multi-crane AI scheduling + synchronized lifting control with automatic coordination and collision avoidance.
Pain Points: Scattered equipment, harsh weather exposure that complicates maintenance, and complex multi-crane scheduling.
Recommended Modules: Intelligent scheduling + remote operation & maintenance + predictive maintenance, reducing on-site inspection frequency.
The KRD AI system features a modular design — no changes to the existing electrical system, plug-and-play ready
Evaluation parameters include: equipment model, electrical system type (VFD/contactor), PLC brand and model, and current sensor status.
We recommend scheduling a free on-site assessment with our engineers to confirm retrofit feasibility, after which a customized solution will be provided.
From initial consultation to final acceptance, our standard workflow is clear and transparent
Our engineers visit your site free of charge to inspect the equipment condition, electrical system, and operating environment, record key parameters, and deliver an assessment report.
Based on the assessment results, we tailor a smart retrofit solution that defines the functional modules, hardware list, installation schedule, and investment budget.
Plug-and-play installation with no modifications to the existing electrical wiring. Standard installation takes 2–3 days, including sensor deployment, system integration, and operator training.
We support on-site trial operation for at least 5 working days, verify all functional indicators, issue an acceptance report, and then move into the after-sales maintenance phase.
Simulate the interaction of the Kelude AI voice control system and experience crane Intelligent Diagnosis and control
💡 This demo simulates front-end interactions only. The actual AI system requires connection to the crane control unit and sensor network. For a live demonstration, please schedule a visit with our engineers.
Modular design that requires no replacement of the existing electrical system. Installation takes just 2–3 days without disrupting normal production.
IP54 protection, -20°C to 70°C wide temperature range, and EMC interference immunity certification — built to withstand harsh electromagnetic environments and varying temperature and humidity conditions.
The AI model supports OTA remote upgrades. The more data it accumulates, the more accurate its diagnosis becomes, with anti-sway control and scheduling efficiency improving over time.
Developed by a team combining crane manufacturing experience with AI algorithm specialists, offering end-to-end service from requirements analysis to after-sales maintenance.
Free limited-time AI Diagnosis experience — book an on-site engineer assessment now
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