A method for energy consumption optimization for a medication storage system
By constructing a multi-dimensional environmental perception matrix and a nonlinear thermodynamic model, combined with dynamic closed-loop control, the energy consumption optimization problem of the drug storage system when facing large-scale drug entry and exit is solved, realizing precise energy consumption management and efficient system operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QIAN AN LIAN (SU ZHOU) SHENG WU XIN XI KE JI YOU XIAN GONG SI
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional drug storage systems struggle to adapt to nonlinear environmental disturbances when faced with large-scale drug inflows and outflows, resulting in a lack of precision in energy optimization strategies, resource redundancy, and energy waste. Furthermore, the spatiotemporal asymmetry of multidimensional feature data leads to a lack of sensitive capture capabilities in the system.
A multi-dimensional environmental perception matrix is constructed, data is acquired through a sensor array, multi-source spatiotemporal data fusion processing is performed, a nonlinear thermodynamic model is established, an energy consumption optimization control strategy is generated, and dynamic closed-loop management and feedback regulation are implemented to achieve precise coupling between load demand and equipment output.
It significantly reduces energy consumption, improves energy utilization efficiency, ensures the stability and safety of the drug storage environment, has dynamic adaptability and continuous optimization capabilities, and reduces operating costs.
Smart Images
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