Parallel computing device for real-time synchronization of multi-sensor data

Abstract

The application discloses a parallel computing device for real-time synchronization of multi-sensor data, relating to the technical field of multi-sensor data processing. The parallel computing device includes a sensor module, a data acquisition module, a clock synchronization module, a cache memory, a parallel processor, a data communication module, a data output interface and a power management module; the algorithms include Kalman filtering algorithm, fast Fourier transform (FFT), moving average algorithm, support vector machine (SVM), least square method and dynamic programming. Multi-dimensional data (temperature, pressure, and acceleration) is collected in real time from multiple sensors, and unified digital processing enables multi-source data handling of the system; intermediate data ensures stable input for the parallel processor, avoiding data loss and bottlenecks, ensuring smooth transmission and efficient processing; the multi-core architecture is used, complex data streams from multiple sensors is processed, and efficient parallel calculation is achieved.

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