Study On Lossless Compressed Technology Based On Weaving System Control Data

With the development of the textile industry, the embedded technology has been widelyapplied in the textile industry, such as the electronic jacquard knitting machine, the circularmachine, towels and other mechanical systems. It improves the efficiency and decreases thecost of the textile with the embedded technology. However, it need to transmit the control datawith the cloth pattern information to the control module of the lower position machine whichis called "jacquard card data". In order to achieve better transmission of the control data andimprove the transmission efficiency with the time reduced, the original data must becompressed on the host computer firstly and then the compressed data are delivered to theslave computer. At last, several proper methods would be applied to restore the related data onthe slave computer. Consequently, the compression algorithms of the control data in thesystem are importance to guarantee a higher compression efficiency and an enough memoryspace of the slave computer during the decompression process on account of the limitedstorage space and low implementation capability.This paper carries out a research for data transmission and compression algorithm basedon the special application of textile, which aims at a higher compression efficiency and alower algorithm complexity with the successfully running on the slave computer. This paperreviewed exsiting compression algorithms for the embedded system and the losslesscompression technology was selected with the features of the embedded textile systemconsidered to ensure the accuracy for the textile machinery. Four lossless compressionalgorithms were proposed including the dynamic Huffman coding algorithm,adding CRCparity bit to improve the data accuracy, the interruptable data-flow unsymmetricalcompression algorithm based on LZSS, the LZW compression algorithm and the simplifiedWINRAR/WINZIP compression algorithm. Among them,the dynamic Huffman codingalgorithm can be easily implemented by eliminating disadvantages of the static one. It shows abetter compression efficiency with a large jacquard card data. On the other hand, It proposesan interruptable data-flow unsymmetrical compression algorithm for the MCU system withlittle memory space based on LZSS. It reduces the occupied memory space and shows an excellent real-time performance to decompress the compressed data sent from the hostcomputer. After the focus study of the two above algorithms,the other lossless compressionmethodologies have been introduced for the embedded textile area, such as the LZWcompression algorithm and the simplified WINRAR/WINZIP compression algorithm. LZWalgorithm is easy to implement and WINRAR/WINZIP is simplified. Finally, the proposedalgorithms can substantially improve the performace of the exsiting system and play thesignificant role.