电梯群控功能优化智能推荐系统
By implementing a closed-loop system encompassing demand semantic transformation, full data collection, and simulation verification, the problem of functional configuration deviation in elevator group control systems was solved. This enabled efficient and accurate optimization of elevator group control parameters, reducing resource waste and configuration cycle time.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI MITSUBISHI ELEVATOR CO LTD
- Filing Date
- 2026-05-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing elevator group control systems suffer from deviations in functional adaptability, demand decomposition, and functional effectiveness in their functional parameter configurations, leading to frequent rework and resource waste. Current technologies lack end-to-end PDCA closed-loop and real-time full data verification.
The system employs a demand semantic transformation module to convert customer needs into professional technical indicators, acquires elevator configuration and passenger flow data through a full-scale on-site data acquisition module, generates personalized configuration schemes using a group control function parameter recommendation module, and conducts pre-verification through a simulation verification module, thus forming a closed-loop system across the entire chain.
It achieves unmanned automatic configuration and verification, with a high degree of fit between simulation and actual field results, significantly shortening the configuration cycle, reducing on-site rework rate, and eliminating the bias of relying on human experience.
Smart Images
Figure CN122403232A_ABST