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Deep learning and fuzzy control based optimized cooling method of singe-heat-source air conditioner

A technology of fuzzy control and deep learning, applied in the direction of control/adjustment system, adaptive control, general control system, etc., can solve problems such as equipment safety hazards, energy waste, equipment condensation, etc., to overcome blindness and weak adaptability Effect

Inactive Publication Date: 2019-10-25
ZHEJIANG UNIV
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Problems solved by technology

[0006] In order to solve the problems of energy waste, equipment condensation, and equipment safety hazards in the existing air-conditioning operation of electromechanical equipment rooms in rail transit, the present invention provides a single heat source and single air conditioner optimization refrigeration method based on deep learning and fuzzy control

Method used

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  • Deep learning and fuzzy control based optimized cooling method of singe-heat-source air conditioner
  • Deep learning and fuzzy control based optimized cooling method of singe-heat-source air conditioner
  • Deep learning and fuzzy control based optimized cooling method of singe-heat-source air conditioner

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Embodiment Construction

[0032] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.

[0033] Such as figure 1 As shown, a single heat source single air conditioner optimization refrigeration method based on deep learning and fuzzy control, including the following steps:

[0034] S01, determine the input and output language variables and their membership functions.

[0035] Taking the ABB AC contactor as an example, the membership functions of each language variable are as follows:

[0036] 1. Input one of the language variables, the deviation between the maximum temperature of ABB AC contactor and the safe temperature of 50°C, which is recorded as E / °C, and the value of the input language variable E {negative large, negative medium, negative small, zero, positive small, positive...

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Abstract

The invention discloses a deep learning and fuzzy control based optimized cooling method of a single-heat-source air conditioner. The method comprises that (1) an input / output language variable and amembership function thereof are determined; (2) a fuzzy control rule is determined; (3) different defuzzing methods are used to output different air-conditioner cooling schemes, and COMSOL Multiphysics simulation is used for simulated cooling analysis on the equipment; and (4) the air-conditioner cooling schemes obtained from different defuzzing methods and corresponding simulation result data serve as input as a deep generation model, and a final air conditioner optimized cooling scheme is output by deduction. Via the method, the deep generation model is used to optimize the different defuzzying methods output by traditional fuzzy control, the better air conditioner cooling regulation scheme is provided, blindness and low adaptability of the traditional air-conditioner cooling control strategy are overcome to large extent, and the method has great significance in heating ventilation efficacy optimization and intelligent operation of rail transit.

Description

technical field [0001] The invention belongs to the field of air-conditioning energy efficiency optimization control strategy methods, and in particular relates to a single heat source and single air conditioner optimization refrigeration method based on deep learning and fuzzy control. Background technique [0002] For the air-conditioning system of the traditional rail transit electrical equipment room, the cooling scheme is to turn on the air conditioner when the room temperature reaches a certain temperature, take a lower temperature for the air outlet temperature of the cooling air conditioner, and use a higher wind speed for cooling down for a long time. This cooling scheme has the following problems: ① The observation is the indoor temperature, and there is a deviation between the indoor temperature and the actual temperature of the equipment in the electromechanical equipment room of the rail transit, and there will be problems such as untimely cooling and equipment d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 初宁侯耀春宋俊朝杨广胜张黎雯王宇轩魏鹏锦邵奇吴大转
Owner ZHEJIANG UNIV
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