一种基于大型冷库的节能控制方法及系统
By collecting cargo attribute and environmental data in real time, combined with dynamic load forecasting and energy consumption surface modeling, and utilizing ultra-wideband positioning and air duct array adjustment, the system can accurately predict and supply the cold storage's cooling capacity demand, solving the problem of high energy consumption in cold storage and improving equipment coordination efficiency and temperature stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUZHOU NEWASIA TECHNOLOGY CO LTD
- Filing Date
- 2025-06-25
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional large-scale cold storage facilities suffer from inaccurate forecasting of cooling demand, low efficiency in multi-equipment collaboration, resulting in high energy consumption, a disconnect between cooling supply and space requirements, and insufficient energy efficiency coordination among equipment.
Data is collected in real time by cargo tags and environmental sensors, input into a dynamic load prediction model to generate cooling demand signals, and combined with an energy consumption surface model to calculate the optimal operating parameters of the equipment. Ultra-wideband wireless positioning technology is used to identify the distribution of shelves, and the opening of air valves and the air delivery angle are dynamically adjusted through an adjustable air duct array. An edge computing module performs closed-loop feedback adjustment to achieve a dynamic balance between cooling supply and space allocation.
It enables refined control of overall energy consumption in cold storage, reduces ineffective refrigeration, maintains temperature stability, eliminates the heat island effect in cold storage, and improves equipment synergy efficiency.
Smart Images
Figure CN120799835B_ABST