融合Z-Wave与云服务的景观照明远程控制方法及系统
By using a cloud-driven multi-level diagnostic model that combines equipment vital signs and network interaction indicators, the problem of single-dimensional fault diagnosis information in existing technologies has been solved, enabling efficient operation and maintenance and accurate fault identification of landscape lighting systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU BOSHANG SHENGXIN ENERGY TECH CO LTD
- Filing Date
- 2025-11-03
- Publication Date
- 2026-07-17
AI Technical Summary
In existing landscape lighting remote control technologies that integrate Z-Wave and cloud services, the status monitoring and fault diagnosis mechanisms suffer from limited information dimensions, making it impossible to accurately distinguish the root cause of faults. This results in low operation and maintenance efficiency and reliance on manual inspections to discover hidden faults.
Employing a cloud-driven multi-level diagnostic model, the system performs T1, T2, and T3 level diagnostic tasks, combined with equipment vital signs data and network interaction indicators, to conduct multi-dimensional anomaly detection and diagnostic upgrades, thereby achieving accurate identification of fault types.
It improved the efficiency of operation and maintenance, reduced the need for manual inspections, enabled the proactive discovery and accurate diagnosis of hidden faults, and reduced overall maintenance costs.
Smart Images
Figure CN121442550B_ABST
Abstract
Citation Information
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