In the actual work of the printing equipment, its vibration displacement signal and acceleration signal are very weak, so the signal read from the sensor can not be directly sent to the data acquisition card for A / D conversion, otherwise it will cause great Of error. Signal conditioning has many functions, mainly by amplifying weak electrical signals through amplifiers and leaving useful signals through filters.

This is a multi-functional integrated board, different types of data acquisition cards are connected to the computer through different data interfaces. They are small in size, easy to install and disassemble, and are currently commonly used for data collection in printing equipment.

Software to control the above hardware devices must first figure out how these devices implement data transfer and how to store the original mechanical vibration signals to the computer. The following is a block diagram of signal data transmission based on a data acquisition card: The main functions required by the driver software are: to allow users to customize the sampling frequency, the number of sampling points, and the data storage path to store data. The performance of the selected sensor and data acquisition card will directly affect the writing of the driver software. There are three main realization schemes: Scheme one: Use VC, VB and other professional programming languages ​​to write. The advantage is that it is relatively simple to write programs, and it can control almost all data acquisition cards. The disadvantage is that the interface is relatively simple, and it is relatively troublesome to change the sampling information.

Option 2: With the help of virtual instrument software LabVIEW. The advantage is that its own data acquisition software operation interface is beautiful and convenient. The disadvantage is that it is only applicable to the data acquisition card produced by NI company in the United States, and its versatility is not strong.

Solution Three: Drive the C language program in LabVIEW software. Although this method can combine the intuitive interface of LabVIEW with simple statements in C language, it is more difficult for ordinary users to achieve multi-functional control. Signal processing and analysis To process and analyze the digital signals saved in the file after acquisition, corresponding analysis programs need to be written. Commonly used software includes virtual instrument software Lab-VIEW and Matlab. The processing and analysis of digital signals can be divided into the following steps: At present, we usually combine the processing and analysis of digital signals into a noun, but in fact the content they contain is different, these are two concepts. Digital signal processing mainly includes mathematical operations, digital filtering, mathematical transformation and other aspects. Through mathematical operations, such as calculus and other operations, it can complete the conversion between the vibration displacement signal, speed signal, and acceleration signal. It runs through the entire digital signal processing and analysis process. Through digital filtering, discrete familiar signals can be filtered in order to suppress interference and extract useful information.

Common digital transforms include forward Fourier transform, inverse Fourier transform, Z change, wavelet change, etc. No matter which transform form is used, the result of the transform will not lose the useful information of the original signal, but the signal after proper transformation can be more It is convenient for us to extract useful information.

Digital signal analysis is to study the composition and characteristics of digital signals. The digital signal usually collected is composed of several basic signals and interference signals, and each signal component has its own characteristic values, such as amplitude, phase, frequency and so on. Digital signals are mainly analyzed in the time domain and frequency domain to extract the characteristic values ​​of different signal components and study the correlation between them.

The original vibration (characteristics of the special salt shaker) is saved in the computer through a series of acquisition methods, and becomes a discrete digital signal in the time domain. Of the digital signals actually collected, only a few signals can directly reflect the vibration of the printing equipment. Most of the signals must be processed and analyzed to obtain useful information. The relationship between digital signal processing and digital signal analysis is complementary and indispensable. The processing and analysis of digital signals will become the focus and difficulty in the research of printing equipment at present and in the future, and it is worthy of in-depth study by many students. In summary, this article introduces the hardware equipment and software drivers required in the testing process of the vibration signal of the printing equipment. The continuous advancement of technology and the continuous development of various powerful hardware and software have provided favorable conditions for us to understand printing equipment, but the study of basic theory of signal testing and data analysis can not be ignored. This is our experiment. The foundation of analysis and theoretical analysis. Only with a solid theoretical foundation will our research avoid detours, long distances, or even wrong paths.

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