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Air compressor under-pressure starting self-checking method based on industrial big data and artificial intelligence

An artificial intelligence, air compressor technology, applied in computer parts, character and pattern recognition, instruments, etc., can solve problems such as reducing efficiency, and achieve the effect of improving accuracy, improving training efficiency, and improving mean time between failures

Active Publication Date: 2022-02-11
江苏南通元辰钢结构制造有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In a large-scale industrial process, if professional maintenance personnel are required to participate in the pressurized start-up every time the air compressor is started, and the anti-surge valve is continuously fine-tuned to achieve a smooth start, the efficiency will be greatly reduced, and the time required for manual presence will be greatly reduced. and commissioning time can cause multiple economic losses in modern production

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  • Air compressor under-pressure starting self-checking method based on industrial big data and artificial intelligence
  • Air compressor under-pressure starting self-checking method based on industrial big data and artificial intelligence

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Embodiment 1

[0030] The main application scenarios of the present invention are: in the process of starting the air compressor with pressure, since the starting power required during the starting process with pressure is very large, it may exceed the maximum starting power that the motor can withstand, and the air compressor will be driven by the motor. Shut down due to current overload protection. At this time, adjust the opening angle of the anti-surge valve to reduce the starting power of the air compressor when it starts under pressure, so as to ensure that the compressor can start smoothly.

[0031] see figure 1 , which shows a method flow chart of a method for self-checking of an air compressor with pressure starting based on industrial big data and artificial intelligence provided by an embodiment of the present invention, and the method includes the following steps:

[0032] First, the overload power fluctuation characteristic sequence and the opening angle of the anti-surge valve...

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Abstract

The invention relates to the technical field of artificial intelligence and air compressors, and concretely relates to an air compressor under-pressure starting self-checking method based on industrial big data and artificial intelligence. The method comprises the steps that the joint similarity of any two air compressors in the starting process is obtained, and the air compressors are clustered to obtain a plurality of clusters; the clusters with the anti-surge valve opening angle difference values smaller than a preset opening angle difference value threshold value are combined; the twin network is pre-trained to obtain feature descriptors of all air compressors; the twin network is continuously trained, and the maximum likelihood estimation open angle of the to-be-self-detected air compressor is determined according to the similarity between the to-be-self-detected air compressor feature descriptor and other air compressor feature descriptors; and the opening angle of the anti-surge valve is adjusted, and an air compressor under-pressure starting attempt is conducted. Industrial big data of a user can be protected, meanwhile, the opening degree interval and the extreme value of the anti-surge valve for successfully starting the air compressor under pressure are accurately determined according to the maximum likelihood estimation opening angle, it is guaranteed that the air compressor can be safely started under pressure, and the average fault-free time of the air compressor is prolonged.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence and air compressors, in particular to a self-checking method for starting an air compressor under pressure based on industrial big data and artificial intelligence. Background technique [0002] Air compressors are widely used in petroleum, metallurgy, chemical and other industrial fields. With the rapid development of science and technology, air compressor units are becoming more and more large and complex. As the operating conditions of the air compressor unit become more and more complex, the equilibrium pressure of the air compressor unit when it is started is no longer a single situation, and more stringent requirements are put forward for the drive equipment and start-up plan of the air compressor unit. Taking a large ethane refrigeration air compressor driven by a motor as an example, since the process gas is actually at the dew point temperature and affected by the environm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F30/27
CPCG06F30/27G06F18/23213G06F18/22G06F18/214
Inventor 邵晓晨张松林洪小飞
Owner 江苏南通元辰钢结构制造有限公司