A fluid machinery diagnosis system and method based on artificial intelligence and big data

Abstract

The invention relates to a fluid mechanical diagnosis system and method based on artificial intelligence and big data. The system is characterized by comprising a diagnosis instrument and a cloud end,the diagnosis instrument comprises a shell, the top of the shell is fixedly connected with a noise collection device, an integrated chip, a network interface and a battery are arranged in the shell,a touch display panel and a charging interface are arranged on the shell, the integrated chip is electrically connected with the noise collection device, the touch display panel and the network interface, the network interface is further connected with the cloud, the integrated chip is used for determining an optimal sound source acquisition position area and the acquisition duration of the noisecollection device, the cloud is used for storing characteristic data of normal operation sound sources and lesion sound sources of various types of fluid machinery, and picking out characteristic dataof normal operation sound sources and lesion sound sources which are the same as or similar to the fluid machinery to be detected by adopting an artificial intelligence algorithm, and a cloud end orthe integrated chip further determines an operation condition analysis result of the to-be-detected fluid machine. The system can be widely applied to the field of fluid machine operation condition diagnosis.

Description

technical field [0001] The invention relates to a fluid machinery diagnosis system and method based on artificial intelligence and big data, and belongs to the field of fluid machinery operation diagnosis. Background technique [0002] As energy (power generation and pumped storage), water resource dispatching (such as China's South-to-North Water Diversion and other major projects), water conservancy irrigation, petrochemical industry, urban drainage and sewage treatment, etc. Agriculture plays an irreplaceable and important role. Statistics show that the electricity consumption of various types of pumps in China accounts for about 20% of the country's total electricity consumption every year. Nowadays, with the continuous improvement of people's living standards, the demand for energy is increasing rapidly. However, the energy supply process is unavoidable. The core product, that is, fluid machinery, has major safety hazards such as operational stability and operational s...

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Problems solved by technology

Therefore, it is very necessary to develop a non-contact fluid mechanical diagnostic system and method that can be detected in real time, disassembled and assembled without disassembly, and is efficient and accurate. However, there is no such diagnostic instrument of the same type or related

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