Central air-conditioning energy-saving control method and system based on neural network

Abstract

The invention discloses a neural network-based central air-conditioning energy-saving control method, which includes the following steps: S1, collecting working condition parameter data of an opened air-conditioning system; S2, converting analog signals in the working condition parameter data into digital signals , and send it to the data processing module; S3, calculate the current system total power according to the displayed working condition parameter data, judge whether the current system total power is greater than the minimum system total power, and match an energy-saving strategy; S4, the The equipment control module controls the operation of corresponding equipment according to the energy-saving strategy. The invention also discloses a neural network-based central air-conditioning energy-saving control system and device. The invention utilizes the processing advantages of the artificial neural network to nonlinear complex data to match the energy-saving strategy, and on the premise of ensuring the application performance requirements, the air-conditioning system is always operated at the best efficiency, and the purpose of reducing the total energy consumption of the system is achieved.

Description

technical field

[0001] The invention relates to the technical field of central air-conditioning energy saving, in particular to a neural network-based central air-conditioning energy-saving control method and system. Background technique

[0002] As an important part of the building system, the central air-conditioning system accounts for a large proportion of the energy consumption and electricity of the entire building system. According to statistics, the energy consumption of the construction industry accounts for 30% of the country's total energy consumption, and the power consumption of the air-conditioning system accounts for 30% of the country's total energy consumption. 70% of the energy consumption of the entire building accounts for about 18% of the company's total electricity consumption. With the demand for building humanized services, this number will continue to grow. Therefore, the energy saving of the air conditioning system is of great significance and effec...

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