基于树莓派的空化检测设备研制及控制系统优化
2022,30(9):113-118
摘要：为研究表面织构的形状、大小、位置、排列与空化现象发生的关系，结合流体动力学和摩擦学等理论，拟设计以活塞裙部-缸套为模型建立检测表面织构在摩擦时发生空化现象的装置；由于空化泡发生的瞬时性，设计一种基于Raspberry Pi树莓派微型计算机的空化设备控制系统，降低系统的延时性，准确地采集到数据进而分析得出结论；采用TLC549CP A/D数据采集器、膜盒式传感器、OSG030-815UM超高速工业摄像机组成检测系统，分别对温度、压力、图像的输出参数进行采集；通过Java语言开发的空化参数采集平台对空化现象发生参数进行实时计算并显示；与树莓派原系统相比，优化后的系统可以准确地采集到空化发生时的参数，并且有低延时性和优异的稳定性，能够降低延时到1.73ms，降低了约81%。
关键词：空化检测设备；Raspberry Pi；减摩抗磨；表面织构；Java语言；系统优化
Development of cavitation detection equipment and optimization of control system based on Raspberry Pi
Abstract：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%.
Key words：Cavitation detection equipment; Raspberry Pi; anti-friction and anti-wear; surface texture; Java language; system optimization
收稿日期：2022-05-05
基金项目：国家自然科学基金(51865053)
