基于云平台的数字绘本图像传感器故障远程监测系统设计  

Design of a Remote Fault Monitoring System for Digital Picture Book Image Sensors Based on Cloud Platform

作　　者：季承[1] JI Cheng(Xianyang Vocational and Technical College,Xianyang Shaanxi 712000,China)

机构地区：[1]咸阳职业技术学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2024年第4期106-111,共6页Automation & Instrumentation

基　　金：咸阳职业技术学院教学改革研究项目《民间美术融入高职美术教学的研究与实践》(2019JYB08)。

摘　　要：为了监测数字绘本图像传感器的状态并进行故障诊断,研究设计了一种基于云平台的数字绘本图像传感器故障远程监测系统。该系统利用粗糙集理论进行数据简约,并采用贝叶斯网络模型计算故障原因的最大概率,推断传感器故障的原因。实验结果显示,该研究模型在IBM Watson Studio和SAS Enterprise Miner软件上,处理400条故障数据分别用时2.9 min和2.1 min,运行稳定值分别约为91%和94%,故障诊断正确率分别为92.3%和93.2%。这表明该模型能够有效监测传感器状态并分析故障原因,并为传感器故障诊断提供可靠的理论和方法基础。In order to monitor the status of digital picture book image sensors and perform fault diagnosis,a cloud platform based remote fault monitoring system for digital picture book image sensors was studied and designed.The system utilizes rough set theory for data reduction,and uses a Bayesian network model to calculate the maximum probability of fault causes and infer the cause of sensor faults.The experimental results show that the research model took 1.83 minutes and 2.21 minutes to process 400 fault data on IBM Watson Studio and SAS Enterprise Miner software,with stable operating values of about 91%and 94%,and fault diagnosis accuracy of 92.3%and 93.2%,respectively.This indicates that the model can effectively monitor sensor status and analyze the cause of faults,and provide a reliable theoretical and methodological basis for sensor fault diagnosis.

关 键 词：云平台 数字绘本 图像传感器 故障远程检测 计算机 无线网络通讯 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]