Optimization Design of Node Seismometer Data Storage Based on STM32

Abstract The application of high-resolution analog-to-digital conversion devices in wireless seismic data acquisition equipment causes massive invalid noise and seismic signals to be generated during long-term seismic acquisition, and the subsequent processing of massive data will occupy a lot of system resources. To address the above issues, we employ the STM32F4 as the core to integrate an improved environmental dynamic threshold P-wave picking algorithm for continuous vibration data acquisition. During data storage, only the relevant vibration signals are preserved to minimize the storage of irrelevant data and enhance work efficiency. The research results indicate that embedding a vibration identification algorithm inside the microcontroller can quickly and effectively identify seismic data, filter out invalid noise signals, reduce data volume, and improve work efficiency.