Search And Implementation On Key Techniques For On-site Processing Of Complex Data

The data processing includes data reception, storage, conversion and dis-tribution. With the rapid development of information science and technology, computers have evolved from the early days computing tools into an inseparable partner of the human and society. With the deepening of exploration of the ma-terial world and the human themselves, the demand for information processing system is also gradually increased. On the data acquisition platform, the require-ment of dynamic range of the charge measurement and the accuracy of the time measurement continue to increase; On the data storage platform, requiring higher storage capacity, and more flexible ways to store data are required; On the data processing platform, people want a smaller system which can achieve the similar performance comparing with the complex systems in old ways.The real physical world through the acquisition process into analog signals, analog signals are continuous on both the amplitude and phase of the electrical signal. To take advantage of computer processing analog signals carrying in-formation, the analog signals must be digitized. Since the analog signal is easily interfered, the data acquisition system will now digitized signal as close as possible the occurrence of the event acquisition, data acquisition and digitization process is spatially close. This paper defines On-Site as the place of data collection and digitalization.In terms of the spatial distribution of the data processing unit and the data acquisition unit may be located within a same chip, a same PCB board or block within the same chassis, the communication between them via a bus or other simple data transfer protocol; They may also be far from each other, the commu-nication between them via network protocols. In terms of the time distribution, the data processed by the data processing unit may be obtained in real-time ac- quisition, or read from the storage unit, in the distant past collection. In this paper, we define on-site data processing as the data acquisition and processing procedure within small spatial distribution and close time distribution.To achieve high performance on-site data processing, the system needs to be optimized for each cell, including the data acquisition unit, the electronic system and the computing system. In this thesis, the complex data refers to the data which its processing system must be optimized in order to work efficiently.This thesis systematically studied the on-site processing of frontier theory and key technology implementation of complex data in the stage of receiving, s-toring, transforming, publishing, proposed large dynamic range media converter (photomultiplier tube) calibration, precision time to digital convertor (TDC) de-sign, data store and forward platform design in the distributed data acquisition system, and on-site graphics acceleration platform solution.The main research work and innovation of this thesis include:(1)This thesis studied the principle and the reading method of the PMT (pho-tomultiplier tube), focus on the large dynamic range BGO calorimeter calibration and linearity analysis of readout electronics system. Since BGO calorimeter in a single crystal particle energy exploration hope to reach2TeV magnitude with dynamic range up to105times, which is difficult of calibration by the artificial accelerator. Therefore a large dynamic range fluorescent particle simulator had been designed, the simulator can simulate real BGO crystal fluorescent, and the dynamic range of up to4.11x105times, where has been used for ground testing and calibration of PMT.(2)This thesis studied the principle and implementation method of time to digital convertor with the Multi-Phase Clock architecture, using the ISERDES module of the IO logic in the FPGA(Field programmable logic gate array), which archives a56-ps accuracy. The signal input through the IO pin to the Xilinx FPGA, through the IO logic IBUFDS_DIFF_OUT modules produce two com-plementary outputs, and as an input connected to an adjacent two ISERDES mod-ules. ISERDES module is configured to oversample mode, equivalent to4-phase serial-parallel convertor, while2-ISERDES equivalent to8-phase serial-parallel convertor. Dedicated devices such as ISERDES can achieve high clock rates. In the Xilinx Artix-7XC7A100T-1model FPGA, the sampling clock up to800MHz. The structure and logic rarely occupied, suitable for a large number of measuring channels integrated.(3)Forwarding demand for data storage nodes in distributed data acquisition, on-site data transmission prototype was proposed. A certain type of detector array places3600PMT, and400FEE(front-end electronics) platform for reading data. Hance distributed digitalization and non-trigger architecture has been used, FEE needs to digitalize all the signals and transfer them to the host system. I proposed SoC prototyping system architecture model, data storage model, and software-based transmission model no operating system, and design prototyping board.(4)This thesis studied the laws of computer systems development, proposed with the development of computer systems, data processing position from remote location to on-site, information exchange capability from loose to tight, and pro-posed that the future direction of development of on-site of data processing is the wearable device. This thesis summarizes the technology roadmap for proces-sors and graphics processors. For the requirements of applying augmented reality technology in the on-site data processing system, this thesis proposed processor system solution, and a implementation scheme for graphic application.