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Method for controlling artificial environment by combining CFD numerical simulation and BP neural network

A BP neural network and artificial environment technology, which is applied in the field of CFD numerical simulation combined with BP neural network artificial environment control, can solve the problems of low efficiency and large control error, and achieve the goal of ensuring accuracy, improving quality, and overcoming the problem of position setting limitations. Effect

Inactive Publication Date: 2015-05-20
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

[0006] In order to overcome the deficiencies of the prior art, the present invention aims to provide an artificial environment control method for solving the problems of large control errors and low efficiency

Method used

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  • Method for controlling artificial environment by combining CFD numerical simulation and BP neural network
  • Method for controlling artificial environment by combining CFD numerical simulation and BP neural network

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Embodiment Construction

[0022] The present invention adopts following technical scheme:

[0023] (1) Establishing a CFD model for the artificial environment, including using computational fluid dynamics (CFD) software to establish a geometric model of the artificial environment, determining the position and size of the air-conditioning air outlet and return air outlet, and the location of personnel and items included in the environment. and size;

[0024] (2) Calculate the cooling / heating load of the artificial environment according to the meteorological conditions and interior design parameters of the area, and obtain the condition parameter range of the air-conditioning system, where the conditional parameters include: cooling / heating load and air supply volume. For different condition parameters, randomly combine the values ​​in their respective intervals (the interval is divided into values ​​at certain intervals), and use this combination as the boundary condition of the CFD model to obtain the ...

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Abstract

The invention relates to an optimal control method for air conditioning in an artificial environment and provides a method for controlling an artificial environment. The method for controlling the artificial environment is used for solving the problems that control errors are large, and efficiency is low. According to the technical scheme, the method for controlling the artificial environment by combining CFD numerical simulation and the BP neural network comprises the following steps that 1, a CFD model is established; 2, the cold / heat load of the artificial environment is calculated according to the meteorological conditions of the area where the artificial environment is located and indoor design parameters, so that the condition parameter range of an air conditioning system of the artificial environment is obtained; 3, a training sample obtained in the step 2 is utilized; 4, CFD simulation is replaced by the trained BP neural network; 5, PID control is conducted; 6, new input data obtained after change are input into the BP neural network model, so that corresponding environment parameters are obtained; 7, after adjustment is ended and stability is achieved, the BP neural network is retrained. The method for controlling the artificial environment by combining CFD numerical simulation and the BP neural network is mainly used for air conditioning.

Description

technical field [0001] The invention relates to an optimal control method for air conditioning in an artificial environment, and belongs to the cross field of environment and automatic control. Specifically, it involves CFD numerical simulation combined with BP neural network artificial environment control method. Background technique [0002] Artificial environment is a space environment composed of artificially set boundary surfaces. In the artificial environment, in order to ensure the normal activities of the personnel, an efficient air conditioning system is essential. While maintaining the normal activities of the personnel, efforts should also be made to improve the thermal comfort and air quality of the personnel in this environment and reduce the energy consumption of the system, thereby achieving the purpose of saving energy and stimulating the work efficiency of the personnel. [0003] In the air-conditioning season, because the supply air temperature is differe...

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Application Information

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IPC IPC(8): F24F11/00
CPCF24F11/30F24F11/62F24F2110/00F24F11/58
Inventor 孙贺江喻彦喆
Owner TIANJIN UNIV
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