Reasearch And Application Of Virtual Oscilloscope Data Communication Technology Based On Mobile Teriminal

Virtual instruments can improve the effiency of the use of physical instruments,mobile devices in the development of virtual instruments is rare,but is helpful for further improving work effiency and convienience.Android-based mobile terminal equipment is an ideal choice for virtual instrument development.This paper focuses on the data communication technology involved in it and applies it to the actual project.The main task of this paper is to complete the construction of two kinds of communication links of the network and USB,to design data communication method,to study and apply the data compression algorithm to reduce the redundancy of transmission information.The work of the paper is as follow:1,Introduced the relevant key technologies,including virtual instrument technology,Android technology,network transmission technology,USB transmission technology and data compression technology.Analyze the feasibility of using Android-based mobile terminal equipment as virtual instrument.2,Combined with the existing physical oscilloscope hardware platform,this paper analyzes the key transmission modes of network and USB.The topology and transmission protocol of the network are discussed,and the detailed implementation scheme and verification result are given.The master and slave partitioning and transmission mode selection of the USB device are analyzed and verified.3,Gives a monitoring scheme that is independent of the specific transmission mode.Including single pair communication mode and many-to-many communication mode.Use these two modes,waveform and image can be transformed to the desired device.4,From the perspective of reducing the information redundancy in the communication process,the data compression algorithm is compared and designed for waveform transmission.The specific details of the LZW algorithm are discussed and optimized,so that the algorithm can run better on the embedded system platform,and balance between the complexity and the compression ratio of the algorithm.After compression,the amount of data communication data is reduced,and more stable and reliable.5,For the image transmission,the embedded zerotree wavelet,BP neural network and H.264 lossy compression method are compared and used for processing.Compare and study the advantages and disadvantages of each algorithm,analyze their performance,and apply them.After testing,the Network and USB data communication path can be established steadily,the waveform transmission and image transmission effect is better,the implementation of compression algorithm can achieve the desired effect.