摘要
针对高强度脉冲中子控制系统的测试,需要对通过LabVIEW控制的数字示波器所捕获到的大量相似瞬态脉冲信号进一步测量与处理,以便筛选出符合系统控制要求的瞬态脉冲信号。考虑到瞬态脉冲信号的控制与采集设计也是通过LabVIEW进行控制,然而单独采用Matlab对信号进行分析处理,难以同时满足对海量数据进行测量与处理的设计需求。由于LabVIEW具有自动多线程技术、图形化设计语言和丰富信号处理模块,并且Matlab软件在对信号进行小波降噪方面具有优势,利用LabVIEW软件与Matlab软件混合编程,实现集时域测量、频域测量和小波降噪处理于一体的海量信号分析处理系统。实测结果验证了该系统应用于处理海量脉冲数据并筛选出有用信号的正确性及可行性,同时也表明了该系统具有操作简单、响应速度快、测量精度高的优点,具有较高的实用价值。
For the test of high intensity pulsed neutron control system,in order to sieve out the transient pulse signals that are fit the requirement of the control of the system, it is necessary to make further measurement and processing for a large number of similar transient pulse signals captured by the digital oscilloscope which is controlled by Lab VIEW. Considering that the design of control and collection for transient pulse signals are also controlled by Lab VIE W software, while using Matlab alone to analyze and process the signal is difficult to simultaneously satisfy the design demands for measurement and processing of massive amounts of data. Due to Lab VIEW software has automatic multithreading technology, graphical design language and rich signal processing module, and Matlab software has advantage in wavelet noise reduction of signals, so the mixed programming of Lab VIE W and Matlab is proposed to integrate time domain measurement, frequency domain measurement, and wavelet noise reduction processing, for implementing the design of massive signal analysis and processing system. The results of practical tests verify the correctness and feasibility of the system for processing massive pulsed data, and sieving out useful signals ; these also indicate that the system has advantages of simple operation, fast response speed,and high measurement accuracy; thus possesses higher practical value.
出处
《自动化仪表》
CAS
2017年第9期53-56,共4页
Process Automation Instrumentation
基金
国家自然科学基金资助项目(51475453)
关键词
数据采集
脉冲信号
LABVIEW
MATLAB
时域测量
频域测量
有限长序列
小波降噪
Data acquisition
Pulse signal
Lab VIEW
Matlab
Time domain measurement
Frequency domain measurement
Finite length sequence
Wavelet noise reduction
