With the rapid development of industrial technology, multi-channel data acquisition is widely used in vibration monitoring, structural health monitoring, mechanical fault diagnosis and other fields. However, the traditional data acquisition system often has the problems of signal distortion, noise interference and low data processing efficiency in the face of complex vibration environment. Therefore, it is particularly important to develop a multi-channel data acquisition and signal processing system based on adaptive vibration technology.
System architecture design
The system uses modular design, including sensor array, signal conditioning module, data acquisition module, signal processing module and human-computer interaction interface.
Sensor array: vibration sensors with high sensitivity and wide frequency band are selected to realize accurate acquisition of multi-channel vibration signals. The layout of the sensor array needs to be optimized according to the actual application scenario to ensure the comprehensiveness and accuracy of the signal.
Signal conditioning module: This module is responsible for amplifying and filtering the weak signal output by the sensor to improve the signal-to-noise ratio and anti-interference ability of the signal. At the same time, through the adaptive adjustment technology, the signal conditioning module can automatically adjust the parameters according to the change of the vibration environment to adapt to different vibration characteristics.
Data acquisition module: high-performance data acquisition card or data acquisition system is used to realize high-speed and high-precision acquisition of multi-channel vibration signals. The data acquisition module shall be provided with powerful data cache capability to ensure no data loss or dislocation during data transmission.
Signal processing module: This module is the core part of the system, which is responsible for further processing and analysis of the collected vibration signals. Through the introduction of adaptive vibration algorithms, such as adaptive filtering, adaptive spectral estimation, the accurate extraction and feature recognition of vibration signals are realized. At the same time, parallel processing technology and high-speed computing platform are used to improve the speed and efficiency of signal processing.
Human-computer interaction interface: It provides an intuitive and friendly user interface, which is convenient for users to set parameters, view data and analyze results. The human-computer interaction interface shall support real-time data display, historical data query, alarm prompt and other functions to meet the needs of users in different application scenarios.
Key technologies and methods
Adaptive vibration algorithm: Research and develop adaptive vibration algorithm for multi-channel data acquisition to improve the accuracy and real-time of signal processing. The algorithm needs to have the ability of self-learning, and can automatically adjust the parameters according to the changes of the vibration environment, so as to realize the accurate extraction and feature recognition of the vibration signal.
High-speed data acquisition and processing technology: advanced data acquisition technology and high-speed computing platform are adopted to realize high-speed and high-precision acquisition and processing of multi-channel vibration signals. By optimizing the data transmission protocol and data processing flow, the data transmission delay and processing time are reduced, and the overall performance of the system is improved.
Modular design: The system is divided into several relatively independent modules by using the modular design idea, so as to facilitate the upgrade and maintenance of the system. At the same time, the modular design also helps to improve the reliability and reusability of the system.
Experimental verification and result analysis
In order to verify the performance of the system, we designed a series of experiments. The experimental results show that the system can achieve accurate acquisition and efficient processing of multi-channel vibration signals, and has high signal-to-noise ratio and anti-interference ability. At the same time, the application of adaptive vibration algorithm significantly improves the accuracy and real-time of signal processing, which provides a strong support for the subsequent vibration monitoring and structural health monitoring.
In this paper, a signal processing system of multi-channel data acquisition instrument based on adaptive vibration technology is designed. The system improves the accuracy, real-time and reliability of data acquisition by optimizing the process of signal acquisition, processing and transmission. In the future, we will continue to study the adaptive vibration algorithm and high-speed data processing technology to further improve the performance and application scope of the system. At the same time,
