AI intelligent-based medical oxygen production group energy efficiency collaborative optimization control system
By using an AI-powered intelligent control system to monitor and optimize the load distribution of medical oxygen generator groups in real time, the problems of low energy efficiency and unreasonable load distribution in existing technologies have been solved, achieving efficient operation of the oxygen generation system and equipment lifespan management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JINING HUANENG GAS EQUIP ENG CO LTD
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing medical oxygen generation group control systems cannot match changes in the oxygen demand of medical institutions in real time, resulting in low energy efficiency, unreasonable load distribution, and lack of predictive maintenance, leading to significant energy waste and the risk of oxygen supply interruption.
The system employs an AI-based intelligent medical oxygen generator group energy efficiency collaborative optimization control system. Through data acquisition, equipment status assessment, decision-making, and feedback correction modules, it monitors the operating status and health of the oxygen generator in real time, dynamically optimizes load distribution, and achieves asymmetric or symmetric load distribution to improve system energy efficiency and equipment lifespan.
This extends the overall service life of the oxygen production group, reduces the power consumption per unit of oxygen production, improves the system's energy efficiency and equipment lifespan balance, and ensures the stability and economy of oxygen supply.
Smart Images
Figure CN122411014A_ABST