2results about How to "Reduce cooling loss" patented technology

The utility model provides a tunnel type cold storage box relates to refrigeration technical field, this tunnel type cold storage box includes a plurality of box and board body. Any box is enclosed and forms refrigerating chamber, board body includes hollow board and partition board, hollow board is the plate structure with the center through -hole, and partition board is the solid plate structure, among them, a plurality of box links in turn, and there is installation gap between two adjacent boxes, and the width of installation gap, the thickness of hollow board and the thickness of partition board are same, to can selectivity with hollow board or partition board is embedded in installation gap, and two adjacent refrigerating chambers are cut off or communicate. The tunnel type cold storage box can realize the communication or the cut off of refrigerating chamber according to actual demand, satisfy multi -temperature zone management, segmented refrigeration or centralized pass cold and so on many kinds of use scene, at the same time, hollow board, partition board and installation gap thickness are consistent, can simplify structure design and production process, improve interchangeability and assembly efficiency.

The application discloses an AI prediction type temperature control system for server heat flow dynamic management, which comprises a data acquisition module, an AI prediction and control decision module and a dynamic temperature control execution module, wherein the data acquisition module acquires server load data, environmental temperature data and temperature data of each component of the server in real time. In the application, the AI prediction model is integrated, the server temperature trend can be accurately predicted in advance based on multidimensional real-time data load, environmental temperature and the like, the prediction accuracy reaches ±1°C, the control unit dynamically adjusts the cooling liquid flow and the pump speed in advance according to the prediction, the feedforward control of cooling before heating is realized, the temperature overshoot or repeated oscillation caused by response lag is avoided, the server is ensured to run in a more stable and safe thermal environment, the cooling intensity can be actively reduced when the predicted temperature is safe, the overcooling is avoided at the root, the accurate matching of the cooling capacity and the heat load is realized, and the invalid refrigeration energy consumption is obviously reduced.