The invention discloses a self-
adaptive compression and lossless fast transmission method and
system for high-frequency
test data. The method comprises the following steps: extracting multi-dimensional
dynamic feature vectors from high-frequency
test data in real time and marking feature points; based on the features, the network bandwidth and the target
compression ratio, dynamically selecting a compression
algorithm combination and parameters through a pre-training
decision model; performing data framing and typed preprocessing according to the
algorithm combination; compression is executed through a multi-stage
assembly line, and a correction link based on statistical characteristics is inserted between stages; constructing a three-dimensional transmission state matrix fusing priorities, links and quality scores, dynamically allocating links and adaptively adding
forward error correction codes; and after error correction and decompression of a receiving end, realizing lossless
verification through multi-dimensional comparison of feature point sequences of the reconstructed data and the
original data. According to the method, the whole-course self-adaption of the compression strategy and the
transmission scheduling is realized, and the lossless and reliable
recovery of the data is ensured while the compression and transmission efficiency is improved.