Modeling And Realization Of RFID And Wireless Video Sensing System Based On IEEE1451.5

This paper mainly researches on modeling and realization of IEEE1451.5RFID andwireless video sensing system. The research work is valuable for academic and practicalapplication for the development of wireless smart sensing technology, and promot theintelligentization of modern manufacturing. The research work is supported by ChinaPostdoctoral Science Foundation (2012M511806), Guangdong High-level Talent Project(Guangdong teacher letter [2010]79).The dissertation summarizes the domestic and foreign research progresses of IEEE1451.5sensing system modeling technology, fast acquisition mehod of RFID information,and coding technology of wireless video sensing system, and determines research contents.The primary work includes:⑴Make a deep study on the combination modeling method of UML and Petri net forIEEE1451.5wireless smart sensing system, and analysize the operability and dynamicevaluating model performance to improve the system development rate. With hierarchicalinformation flow and dynamic modeling method, the IEEE1451.5RFID and wireless videosensing system communication mechanism is modeled. It macro describes the staticorientied-object model, information interactive flow and system physical implementation ofRFID and wireless video sensing system. Throughing establishing conversion rule, the UMLmodel is converted to Petri net model to analysize, verify model operability and performance.Base on the IEEE1451.5communication mechanism, the WTIM access mechanism and datatransmission based on WiFi protocol are modeled. With the aid of CPN Tools, the liveness,boundedness, and rechability are analyzed. In order to enhance system design, the WTIMdata flow CPN model is builded. The influence characterics of change of structure parameterto the system performace is also studied.⑵Study on tag estimate and anti-collision method of IEEE1451.5RFID system toaccelerate information acquisition rate. Aiming at the problem of large computation ofsearch-based tag estimate method, a coarse-fine double searching-based tag estimate method(CFDDE) is proposed. It uses the idea of coarse and fine adjustment, no need or only a littermultiplication to estimate tag number. Utilize another evaluating indicator in the first searchto replace multiplication with addition, subtraction, and decrease search area of the secondseach. Generally, the area can be decreased by90%, and the estimation time can be reducedby54%compared to the chebysheve inequality method. The QCFDDEtag anti-collision method is studied based on CFDDE, and the relationship of frame lengthe and tag number is derived.As the frame length is normally not integer power of2, which can not be directed applied, andthe neareset interger is not suitable for Q slection. The Q selection method is proposed basedon interative method with bounded condition to improve channel efficiency. The simulationresults indicate that, the power dissipation of tag based on QCFDDEis less than those based onminimized collision, poison distribution, and idle slot tag estimation by26.7%,15.4%, and15.4%, respectively. The channel efficiency is increased by6.9%,4.2%,4.3%, respectively.⑶Study on a PDP-AAN JPEG image compression method that suitablue for wirelessvideo sensing system. With polygonal DCT pruning method, the pruning mode is enlargedand combining AAN fast DCT algorithm to optimize the JPEG image compression process.PDP pruning method aims at decresing large computation of traditional JPEG, enlarging thepruning mode, and enhancing the application flexibility. Throughing explanding the selectionarea of DCT coefficient, the pruning mode is increased which is meaningful for image qualityfine adjustment. BIC information criterion is applied to determine the PDP pruningcoefficient, which can avoid human influence, and balance the relationship between ofcompression quality and comutation. In order to optimize the JPEG compression process, thescalable factor of AAN fast DCT algorithm and the quantization table is combined. The AANquantization table is derived. The simulation results indicate that, compared to standard JPEGmethod, PDP-AAN JPEG image compression method can reduce computation ofmultiplication, addition of2-dimension DCT coefficient by3.8%, and6.0%, the quantizationand “Z” arrangement process by32.8%,32.8%.⑷Aiming at the resource limited system of IEEE1451.5wireless video sensing system,the interval-block diagonal-line and seperation of coding and parameter-selection(IDSCS)-based wireless video coding method is proposed. The feature of this method is,PDP-AAN JPEG image compression method is used to decrease computation, utilizinginterval-block diagonal-line pixel sampling difference to adaptive update video frame toenhance the suitability, and tranforing the complexed parameter selection algorithm fromresource limited coding node to decoding system which separate the coding and parameterprocess. The coding adaption is enhanced, and the computation is decreased. Proposeperformance enhance measures, such as comining the user TEDS with the JPEG headinformation to reduce data transmission quantity, optimize the structure parameter of wirelessvideo coding node to enhance the parallel process ability. The simulation results indicate that,compared to M-JPEG method, the IDSCS-based video coding method can reduced ablut 55%data transmission quantity while the decoding image quality is decreased only about3%.The design and implementation of IEEE1451.5RFID and wireless video sensingsystem is carried out and the application effect is discussed. The experiment results indicatethat, applied the method of joined modeling of RFID and wireless video sensing system,CFDDE tag estimate, QCFDDEanti-collision, PDP-AAN JPEG, IDSCS, and etc, caneffectively improve the system performance and development rate. The RFID system canread both ISO18000-6B and ISO18000-6C tag. The reading speed is improved by17%thanpoison distribution tag estimation method. The PDP-AAN JPEG compression method canprun the image compression quality, reduce wireless data send quantity, the overall imagecompression rate Crate≈16. The IDSCS-based video coding method can dynamic update videoframe type and coding parameter, and the video is smooth (frame rate≈18fps).The initialapplication result to the data center computer room superviosn and management, and appliesto the IEEE1451and Internet of Things based district environment air quality monitorplatform. Both applicaton result show that, RFID and wireless video sensing technologachieve the project expected target which prove the study method of this dissertation iseffective and applicability, and can be expended to other application fields.