In the actual work of printing equipment, the 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 produce a great deal of The error. The role of signal conditioning is many, mainly through the amplifier to amplify the weak electrical signal, leaving a useful signal through the filter.
This is a kind of 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 commonly used for data acquisition in printing equipment.
To control the above hardware devices by software, it is necessary to figure out how these devices implement data transmission and how to store the original mechanical vibration signal to the computer. The following is the block diagram of the signal data transmission based on the data acquisition card: The main functions that the driver software needs to achieve are: Allow the user 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 mainly three kinds of implementation solutions: Option One: Write with professional programming languages ​​such as VC and VB. The advantage is that it is relatively simple to write the program, and almost all data acquisition cards can be controlled. The disadvantage is that the interface is relatively simple, changing the sampling information is relatively troublesome.
Scenario 2: Using virtual instrument software LabVIEW. The advantage is that the interface of its own data acquisition software is beautiful and convenient. The disadvantage is that it is only applicable to data acquisition cards produced by NI companies in the United States and its versatility is not strong.
Solution 3: Drive C language programs in LabVIEW software. Although this method can combine LabVIEW's intuitive interface with simple C language statements, it is more difficult for ordinary users to achieve multi-functional control. Signal Processing and Analysis The processing and analysis of the digital signals saved to the file after the acquisition are also required to write corresponding analysis programs. The commonly used software includes the virtual instrument software Lab-VIEW and Matlab. For digital signal processing and analysis can be divided into the following steps: At present, we usually put the digital signal processing and analysis into a noun, but in fact they contain different content, which is two concepts. Digital signal processing mainly includes several aspects such as mathematical operation, digital filtering and mathematical transformation. Through the mathematical operations, such as calculus and other operations can complete the vibration between the displacement signal, velocity signal, acceleration signal between the three transformation, it runs through the entire digital signal processing and analysis process. With digital filtering, discrete familiar signals can be filtered to suppress interference and extract useful information.
Common digital transformations include Fourier forward transform, inverse Fourier transform, Z change, wavelet change, etc. No matter which transform form is adopted, the transform result will not lose useful information of the original signal, but the signal after proper transform can be more It's easy for us to extract useful information.
Digital signal analysis is the study of the composition and characteristics of digital signals. The digital signal usually collected is composed of several basic signals and interference signals, and each kind of signal component has its own characteristic value, such as amplitude, phase, frequency and so on. Digital signals are mainly analyzed in the time domain and frequency domain to extract the eigenvalues ​​of different signal components and to study the correlation between them.
The original vibration (characteristics of a dedicated salt shaker) signal was saved to the computer through a series of acquisition methods and became a discrete digital signal in the time domain. Among the digital signals actually collected, only a few signals can directly reflect the vibration of the printing equipment. The vast majority of signals must first be processed and analyzed before they can be useful to us. The relationship between digital signal processing and digital signal analysis can be described as complementary and indispensable. The processing and analysis of digital signals will become the focus and difficulty in the current and future research of printing equipment. It is worthwhile for many students to do in-depth research. In summary, this article describes the hardware devices and software drivers required for the testing of vibration signals in printing equipment. The continuous advancement of science and technology, and the continuous development of various powerful hardware and software all provide favorable conditions for us to understand printing equipment. However, the basic theory of signal testing and data analysis cannot be ignored. This is an experiment we are conducting. The fundamentals of analysis and theoretical analysis. Only with a solid theoretical basis will our research be freed from detours, long distances and even wrong roads.
This is a kind of 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 commonly used for data acquisition in printing equipment.
To control the above hardware devices by software, it is necessary to figure out how these devices implement data transmission and how to store the original mechanical vibration signal to the computer. The following is the block diagram of the signal data transmission based on the data acquisition card: The main functions that the driver software needs to achieve are: Allow the user 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 mainly three kinds of implementation solutions: Option One: Write with professional programming languages ​​such as VC and VB. The advantage is that it is relatively simple to write the program, and almost all data acquisition cards can be controlled. The disadvantage is that the interface is relatively simple, changing the sampling information is relatively troublesome.
Scenario 2: Using virtual instrument software LabVIEW. The advantage is that the interface of its own data acquisition software is beautiful and convenient. The disadvantage is that it is only applicable to data acquisition cards produced by NI companies in the United States and its versatility is not strong.
Solution 3: Drive C language programs in LabVIEW software. Although this method can combine LabVIEW's intuitive interface with simple C language statements, it is more difficult for ordinary users to achieve multi-functional control. Signal Processing and Analysis The processing and analysis of the digital signals saved to the file after the acquisition are also required to write corresponding analysis programs. The commonly used software includes the virtual instrument software Lab-VIEW and Matlab. For digital signal processing and analysis can be divided into the following steps: At present, we usually put the digital signal processing and analysis into a noun, but in fact they contain different content, which is two concepts. Digital signal processing mainly includes several aspects such as mathematical operation, digital filtering and mathematical transformation. Through the mathematical operations, such as calculus and other operations can complete the vibration between the displacement signal, velocity signal, acceleration signal between the three transformation, it runs through the entire digital signal processing and analysis process. With digital filtering, discrete familiar signals can be filtered to suppress interference and extract useful information.
Common digital transformations include Fourier forward transform, inverse Fourier transform, Z change, wavelet change, etc. No matter which transform form is adopted, the transform result will not lose useful information of the original signal, but the signal after proper transform can be more It's easy for us to extract useful information.
Digital signal analysis is the study of the composition and characteristics of digital signals. The digital signal usually collected is composed of several basic signals and interference signals, and each kind of signal component has its own characteristic value, such as amplitude, phase, frequency and so on. Digital signals are mainly analyzed in the time domain and frequency domain to extract the eigenvalues ​​of different signal components and to study the correlation between them.
The original vibration (characteristics of a dedicated salt shaker) signal was saved to the computer through a series of acquisition methods and became a discrete digital signal in the time domain. Among the digital signals actually collected, only a few signals can directly reflect the vibration of the printing equipment. The vast majority of signals must first be processed and analyzed before they can be useful to us. The relationship between digital signal processing and digital signal analysis can be described as complementary and indispensable. The processing and analysis of digital signals will become the focus and difficulty in the current and future research of printing equipment. It is worthwhile for many students to do in-depth research. In summary, this article describes the hardware devices and software drivers required for the testing of vibration signals in printing equipment. The continuous advancement of science and technology, and the continuous development of various powerful hardware and software all provide favorable conditions for us to understand printing equipment. However, the basic theory of signal testing and data analysis cannot be ignored. This is an experiment we are conducting. The fundamentals of analysis and theoretical analysis. Only with a solid theoretical basis will our research be freed from detours, long distances and even wrong roads.