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Air compressor system control method based on data driving

A control method and data-driven technology, applied in pump control, machine/engine, mechanical equipment, etc., can solve the problems of numerous input and output parameters and complex control, and achieve the effects of reducing human intervention, improving overall energy efficiency, and stabilizing the outlet pressure

Pending Publication Date: 2021-03-23
SHANGHAI ANYO ENERGY SAVING TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Large-scale air compressor systems often need to use multiple air compressors and dryers. There are many input and output parameters, and the control is relatively complicated. It is very difficult to ensure the stability of the outlet pressure and maximize the overall energy efficiency of the system.

Method used

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  • Air compressor system control method based on data driving

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0018] figure 1 It is a schematic diagram of the control flow of the data-driven air compressor system of the present invention; figure 2 It is a schematic diagram of data-driven air compressor system control parameters and interaction in the present invention.

[0019] See figure 1 and figure 2 , the data-driven air compressor system control method provided by the present invention includes the following steps:

[0020] Step S1: Through input parameters such as each equipment of the existing air compressor unit and the entire system running time, loading time, and drying unit running time, as well as the output response of the air compressor system, output pressure and flow of the main pipe, etc. Data, remove the unreasonable data caused by the replacement of equipment.

[0021] Step S2: Apply the LSTM (Long Short-Term Memory, long-short-term me...

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Abstract

The invention discloses an air compressor system control method based on data driving. The air compressor system control method comprises the following steps of S1) collecting input parameters and output responses of each air compressor unit and a matched drying unit in an air compressor system; S2) establishing an optimal system prediction model by applying an RNN-based LSTM deep neural network algorithm and combining a genetic algorithm; and S3) predicting the air consumption at the next moment through an LSTM-GA prediction model, and giving an optimal control output strategy in advance. According to the air compressor system control method based on data driving, on the premise that the air supply requirement is met, human intervention is reduced, it is guaranteed that the air outlet pressure is stable, the overall energy efficiency of the system is improved to the maximum degree, and the purpose of saving energy is achieved.

Description

technical field [0001] The invention relates to an air compressor system control method, in particular to a data-driven air compressor system control method. Background technique [0002] An air compressor is similar in structure to a water pump and is a device used to compress gas. The purpose of an air compressor system is simple: to compress air to a certain level and deliver it stably. This compressed air is specialized for powering tools and machines, or for specific processes such as petroleum coking. Compressor systems range from portable units to large industrial machines capable of driving entire manufacturing facilities. [0003] A common air compressor system is mainly composed of the following four parts: [0004] First: the air compressor. The air compressor is the most important equipment, the core of the air compressor station, and the machine that produces compressed air. There are three types of air compressors commonly used in the market: piston air co...

Claims

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Application Information

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IPC IPC(8): F04B41/02F04B49/06
CPCF04B41/02F04B49/065Y02P80/10
Inventor 姚洋洋
Owner SHANGHAI ANYO ENERGY SAVING TECH
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