基于嵌入式的采煤机摇臂数采系统

Data Collection System of Shearer Ranging Arm Based on Embedded Technology

现有的采煤机摇臂数采系统存在没有针对摇臂振动信号进行监测,系统采样频率低,人机交互性较差等问题。从电牵引采煤机摇臂数据采集及分析的研究意义和背景入手,针对现有系统的不足,重点对摇臂振动信号采集、数据分析处理、嵌入式系统以及总线通信等技术进行了研究。采用基于ARM和DSP的双CPU微处理器结构,并开发了数据采集及分析软件,对系统进行了整体测试,测试表明系统能够实现数据采集、小波分析降噪、文件传输等功能,运行稳定。

The existing shearer monitoring systems have many problems, such as unable to monitor vibration signal of ranging arm, low sampling frequency, poor human-computer interaction, etc. Aiming at these deficiencies, vibration signal acquisition of ranging arm, data analysis, embedded system and bus technique are analyzed in this thesis. MPU based on ARM and DSP is used, and software is developed. Portable data acquisition and analysis system of ranging arm of shearer is tested, and tests show that the system can realize each function, such as data acquisition, wavelet de-noising, file transfer and so on. System runs stable.