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In order to study the relationship between the shape, size, position, arrangement of surface texture and the occurrence of cavitation, combined with theories of fluid dynamics and tribology, it is proposed to design a device to detect the cavitation phenomenon of surface texture during friction by using the piston skirt-cylinder liner as a model; Due to the instantaneous nature of cavitation bubbles, a cavitation equipment control system based on Raspberry Pi microcomputer is designed to reduce the delay of the system, accurately collect data and then analyze and draw conclusions; The detection system is composed of TLC549CP A/D data collector, capsule sensor, OSG030-815UM ultra-high-speed industrial camera, and the output parameters of temperature, pressure and image are collected respectively; the cavitation parameter collection platform developed by Java language Calculate and display the parameters of cavitation phenomenon in real time; Compared with the original system of Raspberry Pi, the optimized system can accurately collect the parameters when cavitation occurs, and has low latency and excellent stability, which can reduce the delay to 1.73ms, a reduction of about 81%.