Limited space ai adaptive dimming system based on time series prediction model
By using a confined space AI adaptive dimming system based on a time-series prediction model, the system dynamically adjusts brightness, color temperature, and frequency, solving the problems of response lag and visual illusion in underground coal mine lighting systems, and achieving safety and energy consumption optimization in high-dust environments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WAROM LIGHTING CO LTD
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing confined space lighting systems suffer from slow response, glare, and equipment flicker in dynamic high-dust environments, presenting insurmountable technical bottlenecks, especially posing serious safety hazards in underground coal mine operations.
A confined space AI adaptive dimming system based on a time-series prediction model is adopted. It collects time-series multi-feature tensors through multimodal sensing devices, uses edge computing nodes for prediction and illumination distribution, and dynamically controls the brightness, color temperature and pulse width modulation frequency of distributed intelligent lamps to achieve precise adjustment of personnel position and environment, eliminating response lag and visual illusion.
It significantly improves the safety of operations in confined spaces, eliminates light curtain glare and mechanical vision illusions, optimizes energy consumption, extends equipment life, and ensures clear vision and safety.
Smart Images
Figure CN122421135A_ABST