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System and method for realizing energy saving and temperature control of data center by applying artificial intelligence

A data center and artificial intelligence technology, applied in heating and ventilation control systems, neural learning methods, heating and ventilation safety systems, etc., to achieve the effects of avoiding discrete problems, minimizing HVAC consumption, and meeting temperature requirements

Active Publication Date: 2020-06-30
上海外高桥万国数据科技发展有限公司
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a system and method for energy-saving temperature control of data centers, based on the algorithm of deep reinforcement learning of energy-saving and temperature, which can solve the existing problems, can not only meet the temperature requirements, but also minimize the HVAC consume

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  • System and method for realizing energy saving and temperature control of data center by applying artificial intelligence
  • System and method for realizing energy saving and temperature control of data center by applying artificial intelligence

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Embodiment 1

[0045] A system that uses artificial intelligence (AI) to realize energy-saving temperature control in data centers, which includes: sensors, controllers, and heating, ventilation and air-conditioning systems (HVAC); sensors regularly measure indoor and outdoor temperature and humidity data; controllers receive indoor and outdoor The environmental information and the working information of the HVAC system are used to obtain the adjustment plan of the HVAC system through the model algorithm; the sensor is connected to the controller, and the HVAC system receives the controller's instructions to heat or cool or dehumidify.

[0046] This embodiment also provides a method of using artificial intelligence to realize energy-saving and temperature control of data centers through the system. The method combines deep neural network and deep reinforcement learning. First, the deep neural network is combined with the BayesianRegularization algorithm to predict The temperature comfort, and...

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Abstract

The invention discloses a system and method for realizing energy saving and temperature control of a data center by applying artificial intelligence. The system comprises a sensor, a controller and aheating, ventilation and air conditioning system. The invention further discloses the method carried out through the system for realizing energy saving and temperature control of the data center by applying the artificial intelligence. The method comprises the steps that a deep neural network and deep reinforcement learning are combined, firstly, the deep neural network is combined with a Bayesianregularization algorithm to predict the temperature comfort under multiple influence factors, and a deep reinforcement learning algorithm is combined to find the optimal adjustment scheme. The systemand method provided by the invention are used for the data center, through the deep reinforcement learning algorithm based on energy saving and the temperature, the artificial intelligence is appliedto realize energy saving and temperature control, and thus not only can the temperature requirement be met, but also consumption of the heating, ventilation and air conditioning system can be minimized.

Description

technical field [0001] The present invention relates to a system and method for energy-saving temperature control of a data center, in particular to a system and method for realizing energy-saving temperature control of a data center by using artificial intelligence. Background technique [0002] Data centers need to set up heating, ventilation and air conditioning (HVAC; Heating, Ventilation and Air Conditioning; HVAC system), but HVAC is very energy-intensive and can account for 15% of the total basic consumption of data centers. Therefore, it is very important to design a control system that not only saves energy but also meets the temperature requirements. However, it is challenging to implement as it involves various factors affecting the built environment and meeting all requirements is often difficult and may vary from case to case. [0003] Regarding energy-saving temperature control, there are many other methods, such as Proportional IntegralDerivative (PID, propor...

Claims

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Application Information

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IPC IPC(8): F24F11/62F24F11/46H05K7/20G06N3/04G06N3/08
CPCF24F11/62F24F11/46H05K7/20827G06N3/08G06N3/045
Inventor 陈昱
Owner 上海外高桥万国数据科技发展有限公司
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