基于STM32的噪声信息识别及控制的研究-仪器仪表工程专业论文.docxVIP

摘 要 针对桂林市某机械厂与桂林电子科技大学联合研制的 YZ-2 型数控钻床在实际使 用中存在的不足，研究并设计了一种基于 STM32 噪音识别及控制系统，以此提高数 控钻床工作的可靠性和稳定性。 系统由中央处理模块、信号调理模块、滤波模块以及数据存储模块、噪音算法模 块和数据通信模块组成，其中中央处理模块采用STM32微控制器。本系统的技术方案 是：用麦克风采集钻头打孔时发出的噪音，并对采集的噪信号进行相应的放大和滤波， 经A/D后，送微控制器作快速傅里叶变换（FFT），并作相应分析和判断，当采集的信 号的频谱不是正常工作时的频谱时，输出二路信号，一路控制信号送数控钻床控制器， 通过此控制器信号使数控钻床的控制器实现自动急停，并发出报警信号；另一路状态 信号送ZigBee无线模块经天线发射出去。中央控制单元当接受到状态信号后，自动报 警，通知操作人员及时处理，从而实现所有分散钻床的集中监控。 论文从控制原理、控制算法、系统硬件设计和软件设计等方面介绍了噪音识别及 控制系统的实现，最后对系统进行了联调测试。 经联调测试，系统达到了设计要求，为后续的开发工作奠定了基础。 关键词：STM32；噪音；A/D；FFT I Abstract For the lack of the YZ - type 2 CNC drilling machine which jointly developed by a machinery factory in Guilin and Guilin University of Electronic Technology, we did some research and designed a noise identification and control system based on STM32 to improve the reliability and stability of CNC drilling machine . The system consists of the central processing module, signal conditioning module, filter module and data storage module, noise algorithm module and data communication module, and the central processing module uses STM32 microcontroller. The technical scheme of this system is: First, microphone collects the noise when drilling holes, then corresponding amplification and filtering the collected noise signal, After A/D, the signal is sent to microcontrollers to make fast Fourier transform (FFT), corresponding analysis and judgment. Outputting the acoustic signal when the acquisition of the signal spectrum is not normal work of spectrum, One control signal is sent to CNC drilling machine controller, it make the controller of the numerical control drilling machine stop automatically, and send out alarm signal; Another state signal is sent to the ZigBee wireless module, and launched out through the antenna . After the central control unit receives the state signal, it alarms automatically to inform the operating personnel processing timely, thus the centralized monitoring of all dispersed drilling machine is realized. The paper introduced noise i