CN113748386A - 散热控制与模型训练方法、设备、系统及存储介质 - Google Patents

散热控制与模型训练方法、设备、系统及存储介质 Download PDF

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CN113748386A
CN113748386A CN201980095634.0A CN201980095634A CN113748386A CN 113748386 A CN113748386 A CN 113748386A CN 201980095634 A CN201980095634 A CN 201980095634A CN 113748386 A CN113748386 A CN 113748386A
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refrigeration
sample data
overheating
parameter
power information
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CN113748386B (zh
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赵旭
李栈
卢毅军
宋军
奉有泉
陶原
陈钢
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Alibaba Cloud Computing Ltd
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Alibaba Group Holding Ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Cooling Or The Like Of Electrical Apparatus (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

一种散热控制与模型训练方法、设备、系统及存储介质。该方法包括：预先训练得到过热风险预测模型，通过该模型体现设备功率与制冷参数之间存在的过热风险关系，进而，在该过热风险预测模型的基础上，可根据指定空间内待散热设备的功率变化情况，动态调整制冷系统的制冷参数，达到动态散热控制的目的，有利于降低制冷系统的能耗，节约电能资源。

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PCT国内申请，说明书已公开。

Claims (31)

  1. PCT国内申请，权利要求书已公开。
CN201980095634.0A 2019-09-05 2019-09-05 散热控制与模型训练方法、设备、系统及存储介质 Active CN113748386B (zh)

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CN113111589A (zh) * 2021-04-25 2021-07-13 北京百度网讯科技有限公司 预测模型的训练方法、预测供热温度的方法、装置和设备
CN113204883B (zh) * 2021-05-10 2023-11-24 奇瑞汽车股份有限公司 汽车散热器目标进风量自动计算装置及方法
CN113438865B (zh) * 2021-06-25 2022-12-20 上海安畅网络科技股份有限公司 一种控制服务器机柜散热的方法、系统、存储介质及设备
CN113866536A (zh) * 2021-09-07 2021-12-31 深圳Tcl数字技术有限公司 温升检测方法、装置和温升检测系统
CN115023117A (zh) * 2022-06-24 2022-09-06 深圳市中科创激光技术有限公司 环境参数控制方法、防尘箱、计算机设备及可读存储介质
CN115484800B (zh) * 2022-11-14 2023-03-07 联通(广东)产业互联网有限公司 一种数据中心的液冷散热系统及其控制方法
CN115969152B (zh) * 2022-12-31 2023-06-30 云南钜盛电器科技有限公司 基于气流倍增模式的吹风设备检验控制系统
CN117062404B (zh) * 2023-08-15 2024-02-23 湖南恩智测控技术有限公司 电池模拟器控制方法、装置及存储介质
CN116796208B (zh) * 2023-08-23 2023-11-24 广州吉谷电器有限公司 基于历史数据的电水壶过热保护方法及装置

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CN102541015B (zh) * 2012-01-10 2013-12-18 深圳市嘉力达实业有限公司 一种能效智能控制系统及方法
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CN102213475A (zh) * 2011-03-22 2011-10-12 曙光信息产业(北京)有限公司 一种数据中心功耗自适应管理方法
CN103025120A (zh) * 2011-09-22 2013-04-03 联想(北京)有限公司 散热系统、散热方法及其电子设备
CN103322553A (zh) * 2013-07-04 2013-09-25 东南大学 一种火电机组过热汽温多模型扰动估计预测控制方法
CN108237439A (zh) * 2016-12-26 2018-07-03 发那科株式会社 学习模型构筑装置以及过热预测装置
US20190075687A1 (en) * 2017-09-06 2019-03-07 Vertiv Corporation Cooling unit energy optimization via smart supply air temperature setpoint control
CN108197396A (zh) * 2018-01-09 2018-06-22 国网福建省电力有限公司 一种基于pso-svm的高压隔离开关过热状态预测方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116661574A (zh) * 2023-07-13 2023-08-29 之江实验室 一种计算设备散热的方法、装置、存储介质及电子设备
CN116661574B (zh) * 2023-07-13 2023-12-12 之江实验室 一种计算设备散热的方法、装置、存储介质及电子设备

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