Self-inspection method of air compressor with pressure start-up based on industrial big data and artificial intelligence
A technology of artificial intelligence and air compressors, which is applied in computer parts, character and pattern recognition, instruments, etc., can solve the problems of reducing efficiency and achieve the effects of improving accuracy, improving training efficiency, and increasing mean time between failures
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[0030] The main application scenario of the present invention is: it is applied in the process of starting the air compressor under pressure. Since the starting power required in the process of starting under pressure is very large, it may exceed the maximum starting power that the motor can bear. Stop 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 an air compressor startup self-test method under pressure based on industrial big data and artificial intelligence provided by an embodiment of the present invention, the method includes the following steps:
[0032] First, obtain the overload power fluctuation characteristic sequence and the opening angle of the anti-surge valve during the start-up process of the air compressor that is ...
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