With the rapid development of fields such as image processing, industrial control, and wireless communication, the demands for data acquisition systems' performance, including speed and precision, are continuously increasing. These requirements pose new challenges for the design and implementation of data acquisition systems. Currently, data acquisition system design solutions are generally categorized as follows: 1) Primarily based on a single microprocessor control chip and an A/D converter. This design is simple, and for applications with low performance requirements, microprocessors with integrated A/D converters can even be used to reduce costs [1]. 2) Using a general-purpose computer configured with a data acquisition card [2]. This typically requires developing computer-side applications capable of complex calculations. However, different acquisition cards require different drivers, and if requirements change and the acquisition card needs to be replaced, the corresponding application also needs to be redeveloped. Therefore, this design has poor versatility and low real-time performance. 3) Using a combination of ARM and FPGA, or DSP and FPGA, as the core of the acquisition system [3-5]. ARM processors are suitable for control applications, DSP processors for signal processing, and FPGA devices, due to their inherent characteristics, are ideal for high-speed parallel acquisition and processing, offering unparalleled advantages over processors like ARM or DSP. This type of combination leverages the strengths of each component, providing strong processing capabilities and broad applicability. Based on the above analysis, an ARM processor and an FPGA device were designed as the core