Design of Intelligent System for Solidification Processing of Engineering Mud Based on Data Mining Algorithm

W. Xiang
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Abstract

Based on sensor technology, computer technology and automatic control technology, this paper develops an intelligent system for mud solidification treatment. The system controls the transmission and reception of ultrasonic waves through a single-chip microcomputer, and measures the attenuation value of ultrasonic waves with known parameters. The system uses piezoresistive pressure sensor, electromagnetic flowmeter, self-designed self-circulating differential pressure density meter and capacitive grid sensor to perform high-precision and dynamic detection of 4 key technical parameters of grouting pressure, flow rate, density and formation lift value respectively. In this paper, the dynamic equation data mining algorithm is used to deal with the mud solidification process. At the same time, the system uses the PLC module to automatically control the pressure fluctuation and maintain its stability according to the grouting conditions, and then realizes intelligent self-adaptive grouting curing. The test found that the pressure automatic control accuracy of the adaptive grouting curing measurement and control system remained within 5% of the set value. The system has convenient layout, strong pertinence and simple operation, and has obvious promotion advantages.
基于数据挖掘算法的工程泥浆固化处理智能系统设计
基于传感器技术、计算机技术和自动控制技术,开发了一套智能泥浆固化处理系统。该系统通过单片机控制超声波的发射和接收,并测量已知参数下超声波的衰减值。该系统采用压阻式压力传感器、电磁流量计、自行设计的自循环压差密度计和电容式网格传感器,分别对注浆压力、流量、密度和地层举升值4个关键技术参数进行高精度动态检测。本文采用动态方程数据挖掘算法对泥浆凝固过程进行处理。同时,系统采用PLC模块根据注浆情况自动控制压力波动并保持其稳定,从而实现智能自适应注浆养护。试验发现,自适应注浆养护测控系统的压力自动控制精度保持在设定值的5%以内。该系统布局方便,针对性强,操作简单,推广优势明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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