ISO 24621:2022 Crane AI Fault Diagnosis Standard Explained
ISO 24621:2022 — AI-Based Fault Diagnosis for Cranes is a key technical specification in the crane industry. Developed by the International Organization for Standardization, it defines the technical framework for AI-driven fault diagnosis in lifting appliances.
The standard provides a unified technical basis for design personnel, inspection bodies, and end users. Kelude strictly follows its technical requirements throughout product development and manufacturing.
Scope and Positioning of the Standard
ISO 24621:2022 specifies the technical requirements and safety indicators for AI-based fault diagnosis in cranes, covering all types of lifting appliances with a rated lifting capacity above 0.5 t. The standard applies not only to the design and manufacturing of new equipment but also provides clear technical guidance for the inspection, maintenance, and modification of cranes already in service. As a key component of the crane standard system, it aligns with the EN 13001 Crane Safety Standard series and ISO 4309 Wire Rope Inspection Standard, forming a comprehensive technical specification framework. The core technical parameters and safety factor requirements defined in the standard give design personnel a clear design basis, while also providing third-party inspection bodies with quantifiable acceptance criteria for type tests and factory acceptance tests.
Core Technical Parameter Framework
Under ISO 24621:2022, the design and manufacturing of AI-based crane fault diagnosis systems must meet a stringent set of technical parameters. These parameters are established from extensive test data and safety engineering theory, covering the full spectrum from material selection to structural design. The safety factor ranges specified in the standard account for fatigue life and limit load conditions under severe operating environments. In engineering practice, design personnel must translate these standard requirements into concrete design parameters, ensuring that the load capacity of every component meets the required safety requirements.
Comparative Analysis of Key Technical Parameters
| Item | technical requirements | Description |
|---|---|---|
| Diagnosis Object | Bearing/Gear/Motor/Wire Rope | Common Failure Modes Identification |
| Model Accuracy | Diagnosis Accuracy≥98%, False Alarm Rate≤2% | training setvalidation set Dual Validation |
| Acquisition Frequency | Vibration≥12.8kHz/Temperature≥1Hz | Embedded Acquisition+Cloud Analytics |
| Training Data | Fault Templates≥110,000 Normal Samples≥1010,000 | Representativecoverage All Types |
| Inference Time | ≤100ms/Times(Online Diagnosis) | Real-time Maintenance Requirements |
| Learning Method | Online Continuous Learning Model Update | Automatic New Fault Mode Identification |
Inspection Requirements and Intervals
ISO 24621:2022 sets out clear requirements for Factory Acceptance Test, Type Test, and periodic inspection of crane AI fault diagnosis systems. Factory Acceptance Test shall be carried out on each unit by the quality inspection department at the manufacturer's facility, and equipment that passes inspection shall be accompanied by a detailed inspection report and a certificate of conformity. Type Test is required when a new product enters initial production, when manufacturing is transferred to another facility, or when major structural changes are introduced. The periodic inspection interval for equipment in service is determined by the work duty and operating environment, generally not exceeding 12 months. For heavy-duty cranes operating continuously at A7 to A8 duty levels, the inspection interval shall be shortened to 6 months as appropriate.
| Item | technical requirements | Description |
|---|---|---|
| Sensor | Vibration/Temperature Sensor Accuracy Calibration | Quarterly+Installation Reliability |
| Diagnosis Accuracy | Fault Simulation Validation Accuracy | Quarterly+≥98% |
| Data Storage | Acquired Data+Diagnosis Result | Monthly+Integrity |
| Model Update | Continuous Learning Effectiveness Validation | Quarterly+False Alarm Rate≤2% |
Safe Operation and Management Requirements
Under ISO 24621:2022, safe operation and routine management are central to compliance. The standard places strong emphasis on operator qualification and training, requiring that all operators complete specialized training and obtain the necessary certifications before assuming their roles. User units must establish a robust equipment file management system that documents the full lifecycle of the equipment—installation, usage, maintenance, and inspection. Any safety hazards identified must be addressed through the rectification procedure specified in the standard, ensuring the equipment remains safe and controllable at all times. Additionally, the standard imposes restrictive requirements on equipment use under extreme operating conditions.
Frequently Asked Questions
Q: What are the fault diagnosis accuracy requirements under ISO 24621?
A: Fault diagnosis accuracy must be ≥98%, with a false alarm rate of ≤2%. Verified quarterly.
Q: What are the sampling frequency and inference time requirements?
A: Vibration sampling at ≥12.8kHz, with inference time ≤100ms per cycle. Real-time performance is required.
Q: What are the training data volume requirements?
A: At least 10,000 fault samples and 100,000 normal samples are required.
Q: What is the role of continuous online learning?
A: It automatically identifies new fault patterns, continuously refines the diagnostic model, and reduces false alarm rates.
Kelude Heavy Industry — Specialized in crane design and manufacturing, with products fully compliant with the ISO 24621:2022 standard system.
