集成环境感知与生理指标监测的智能作业外骨骼系统
By fusion and synchronization of data and calculation of theoretical expected physiological values using a human basal metabolic rate model, combined with environmental parameters for risk assessment, the problem of misjudgment and omission in high-load working environments of high-end exoskeleton equipment has been solved, achieving accurate risk identification and protection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU ZHICHUANG SPACE-TIME INFORMATION TECH CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing high-end exoskeleton equipment cannot effectively distinguish between normal working load and abnormal pathological environment load in high-load working environments, leading to misjudgment and missed judgment, and failing to achieve accurate risk warning and protection.
The data fusion and synchronization module performs time-domain hard synchronization and sliding window resampling, calculates theoretical expected physiological values by combining the human basal metabolic rate model, calculates the physiological condition residual index, and combines environmental parameters to identify risks and generate differentiated protection strategies.
It enables precise risk identification and protection of exoskeletons in high-intensity working environments, avoiding misjudgments and omissions, and ensuring the safety and continuity of operations.
Smart Images
Figure CN122087667B_ABST