With the continuous increase of nonlinear loads in power grids, power quality issues are becoming increasingly severe. High-precision data acquisition systems can provide accurate data support for power quality analysis, serving as a critical basis for addressing power quality problems. By comparing existing high-speed acquisition system designs, the main control circuits often adopt architectures such as ARM microcontrollers paired with AD converter chips, ARM+DSP paired with converter chips, or FPGA+DSP paired with AD converter chips [1-5]. ARM possesses excellent decision-making and control characteristics and is widely used in industrial control, but its data processing speed is slow and cannot meet the real-time requirements of systems. Due to the serial instruction stream characteristic of DSPs, complex data processing can only be performed in low-speed systems. FPGAs, with their full programmability and parallel data processing capabilities, are increasingly favored in digital signal processing, but their decision-making ability for systems is weaker [6-10]. Furthermore, multi-chip structures connecting ARM and DSP, or FPGA and DSP, via low-speed industrial communication interfaces (such as SPI, Mcbsp) or processor external bus interfaces, complicate board-level circuit design, and frequent inter-chip communication makes it difficult to ensure system stability [11-12].

To address this, a ZYNQ-based data acquisition system is designed. The ZYNQ SoC integrates a dual-core ARM Cortex-A9 processor and