FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization

arXiv:2403.01922v1 Announce Type: new
Abstract: In industrial and environmental monitoring, achieving real-time and precise fluid flow measurement remains a critical challenge. This study applies linear quantization in FPGA-based soft sensors for fluid flow estimation, significantly enhancing Neural Network model precision by overcoming the limitations of traditional fixed-point quantization. Our approach achieves up to a 10.10% reduction in Mean Squared Error and a notable 9.39% improvement in inference speed through targeted hardware optimizations. Validated across multiple data sets, our findings demonstrate …

abstract arxiv challenge cs.lg environmental fixed-point flow fpga industrial limitations linear measurement monitoring network neural network physics.flu-dyn precision quantization real-time sensors study type