基于BP网络的智能压力器设计和实现 工程管理专业VIP专享VIP免费

摘要由于目前社会高速发展，智能已经成为各个关键领域最重要的突破方向了。因此对智能化技术的研究是非常必要的。然而压力监控是工业生产里必不可少的环节，为了提升压力检测的精度，本文研究并设计了一种基于BP神经网络的压力监控系统。系统以单片机为核心，利用BP网络的温度补偿算法进行压力信号的采集与处理。该系统的硬件设计包括基于单片机，压力测量传感器的电路设计，电源电路设计的最低系统设计；软件设计包括C语言基于单片机的方案设计，基于C＃上位机软件设计。最终经过联合调试，系统达到了设计目标。关键词：压力传感器；温度补偿；BP神经网络IABSTRACTWiththerapiddevelopmentofsociety,intelligencehasbecomethemostimportantbreakthroughdirectioninallkeyareas.Therefore,theresearchofintelligenttechnologyisverynecessary.However,pressuremonitoringisanindispensablelinkinindustrialproduction.Inordertoimprovetheaccuracyofpressuredetection,thispaperstudiesanddesignsapressuremonitoringsystembasedonBPneuralnetwork.Thesystemtakessinglechipcomputerasthecore,andusesBPnetworktemperaturecompensationalgorithmtocollectandprocesspressuresignals.ThehardwaredesignofthesystemincludesthecircuitdesignbasedonMCU,pressuremeasuringsensorandthelowestsystemdesignofpowersupplycircuit.ThesoftwaredesignincludestheschemedesignofClanguagebasedonMCUandthesoftwaredesignofC#hostcomputer.Finally,afterjointdebugging,thesystemachievesthedesigngoal.Keywords:PressureSensors;TemperatureCompensation;BPNeuralNetworkII目录摘要..................................................................IABSTRACT............................................................II前言....................................................................11压力传感器的发展和研究状况............................................22压力传感器补偿方法及原理..............................................32.1压力传感器......................................................32.2压力传感器温度补偿的方法........................................32.3压力传感器温度补偿原理..........................................43神经网络概论..........................................................53.1神经网络的基本内容..............................................53.2BP神经网络在传感器中的应用.....................................74基于BP神经网络的压力传感器数据处理...................................95压力处理与显示系统设计...............................................125.1主控制器电路设计...............................................125.2显示电路设计...................................................145.3压力采集电路设计...............................................155.4上位机软件设计.................................................166系统测试.............................................................166.1硬件测试.......................................................166.2软件测试.......................................................176.3测试结果.......................................................177结论.................................................................19参考文献...............................................................20附录1神经网络程序：..................................................21附录2单片机程序：....................................................22附录3上位机程序：....................................................38附录4系统电路：......................................................39致谢..................................................................40前言...