Designing and Testing of Data Acquisition System for Satellite Using MIL-STD-1553

Structural health monitoring for bridge is becoming a more widely accepted way to improve bridge management. To implementation the above objective, this paper presents a GPRS-based bridge remote data acquisition and monitoring system. It is a kind of unmanned automation, intelligent data acquisition system. The network structure of the system, data transmission, information collection and data-processing model methods provide a common, advanced and effective information acquisition model for other supervisory control and data acquisition systems. This system are highly portable with little changes can be applied to other systems. These will not only improve the automation degree of monitoring, and also a lot of human and financial resources are saved with a high practical value and economic value.

A data acquisition system is required to interpret the electrical signals produced by radiation detectors when a gamma ray, neutron or other radiation type interacts with it. The data acquisition system can take on many forms to match the wide variety of radiation detector types available and the different ways in which the signals from these detectors can be processed to give information on the detected radiation. First presented is a detailed overview of a variety of analog data acquisition topologies ranging from simple radiation event counters through to pulse shape discrimination. A comparison is then made with the digital counterparts of these data acquisition topologies, highlighting the relative merits and shortcomings of both analog and digital implementations. Next, the important factors relating to how data is processed, stored and transferred through different stages of a data acquisition chain is discussed and suggestions given on how to avoid bottle-necks and ensure balanced data flow throughout the system. Also discussed are the key challenges associated with the design and configuration of data acquisition systems for active interrogation (AI) environments such as dealing with the high event rates, capturing the time development of active radiation signatures, and techniques for working with pulsed interrogating sources.

In the present IT age, we are in need of fully automated industrial system. To design of Data Acquisition System (DAS) and its control is a challenging part of any measurement, automation and control system applications. Advancement in technology is very well reflected and supported by changes in measurement and control instrumentation. To move to highspeed serial from Parallel bus architectures has become prevalent and among these Ethernet is the most preferred switched Serial bus, which is forward-looking and backwardcompatible. Great stride have been made in promoting Ethernet use for industrial networks and factory automation. The Web based distributed measurement and control is slowly replacing parallel architectures due to its non-crate architecture which reduces complexities of cooling, maintenance etc. for slow speed field processing. A new kind of expandable, distributed large I/O data acquisition system based on low cost microcontroller based electronic web server[1] boards has been investigated and developed in this paper, whose hardware boards use 8-bit RISC processor with Ethernet controller, and software platform use AVR-GCC for firmware and Python for OS independent man machine interface. This system can measure all kinds of electrical and thermal parameters such as voltage, current, thermocouple, RTD, and so on. The measured data can be displayed on web pages at different geographical locations, and at the same time can be transmitted through RJ-45 Ethernet network to remote DAS or DCS monitoring system by using HTTP protocol. A central embedded single board computer (SBC) can act as a central CPU to communicate between web servers automatically.

Design of on-line embedded web server is a challenging part of many embedded and real time data acquisition and control system applications. The World Wide Web is a global system of interconnected computer networks that use the standard Internet Protocol Suite (TCP/IP) to serve billion of users worldwide and allows the user to interface many real time embedded applications like data acquisition, Industrial automations and safety measures etc,. This paper approached towards the design and development of on-line Interactive Data Acquisition and Control System (IDACS) using ARM based embedded web server. It can be a network, intelligent and digital distributed control system. Single chip IDACS method improves the processing capability of a system and overcomes the problem of poor real time and reliability. This system uses ARM9 Processor portability with Real Time Linux operating system (RTLinux RTOS) it makes the system more real time and handling various processes based on multi tasking and reliable scheduling mechanisms. Web server application is ported into an ARM processor using embedded `C' language. Web pages are written by Hyper text markup language (HTML); it is beneficial for real time IDACS, Mission critical applications, ATM networks and more.

The paper details the design of a data acquisition system for evaluating blade and shaft designs of a propulsion system for a human powered submarine. The objectives of the design were to sample and store data representing several analog signals and the time of measurement, and to display velocity and shaft rpm for the submarine operator in real-time. The sampled parameters are then used to calculate the submarine's performance in terms of velocity, thrust shaft torque and rpm. Several parameters are displayed in real-time to aid the submarine operator with training. System design restrictions including size, power requirements, heat dissipation, data integrity, and others had to be considered. Since the data acquisition system is a completely portable system, if is possible to incorporate the system into other applications. >

The use of an automated Data Acquisition System (DAS) is very important in testing and measurement systems. The desire is extremely high in the DAS with high speed, multi-channel, and large capacity, so research in this area becomes very significant. The growing problem in DAS is to acquire the data with the required data rate and store data onto the on-chip memory. Microcontroller, microprocessor or Digital Signal Processors (DSP) devices can be programmed as a DAS, but these devices comprise problems, such as slower data acquisition rates, nonavailability of sufficient on-chip memory, etc. To overcome these above drawbacks, this paper provides an approach to design and develop DAS based on the Field Programmable Gate Array (FPGA). To acquire the data from Analog to Digital Converter (ADC) to FPGA, an Inter Integrated Circuit (I2C) serial communication protocol is used. I2C master communication protocol is designed and developed using VHDL with the Quartus II version 13.1, and the I2C master protocol is implemented in cyclone III FPGA. FPGA is acting as a master controller. DAS with the FPGA will provide the better acquisition results compared to the existing acquisition system.

This study proposed a novel Field Programmable Gate Array (FPGA)-based 32-channel data acquisition system to acquire and process Electroencephalography (EEG) signal. The data acquisition system utilized PYNQ-Z1 board, which was equipped with a Xilinx ZYNQ XC7Z020-1CLG400C All Programmable System-on-Chip (APSoCs) that offered high performance embedded system because of the combination between the flexibility and versatility of the programmable logic (PL) and the high-speed embedded processor or programmable system (PS). As the core of the data acquisition system, the FPGA collected, processed, and stored the data based on Front-End Analog to Digital Converter (ADC) ADS1299EEG-FE. The communication protocol used in the data acquisition system was Serial Peripheral Interface (SPI) with daisy-chain configuration. For the signal processing part, a 5th-order Butterworth bandpass filter and Fast Fourier Transform (FFT) has been implemented directly on the PYNQ’s Overlay. The overlay was configurable FPGA design that extend the system from the PS of the ZYNQ to the PL, enabling us to control directly the hardware platform using Python running in the PS. The mean accuracy error obtained from validation result of the developed system was 1.34% and the Total Harmonic Distortion (THD) performance criterion resulting in 0.0091%, both of them validated with NETECH MiniSIM EEG Simulator 330. The comparison between the developed system and Neurostyle NS-EEG-D1 System acquiring the same EEG data shows correlation parameter gradient of 0.9818, y-intercept with -0.1803, and R squared of 0.9742 based on the least square analysis. The parameter above indicated that the developed system was adequate enough, if not on a par, with the commercialized, medical grade EEG data acquisition system Neurostyle NS-EEG-D1 as the system assured and maintained accuracy with higher sampling frequency.

Service-oriented architecture of adaptive, intelligent data acquisition and processing systems for long-pulse fusion experiments

Data collection and analysis is vital for evaluating the performance of any equipment or system. Though the methodology of collection, transmission, storage and retrieval varies in different scenarios, the basic components of the set-up remain the same. The Data Acquisition and Monitoring System evolved from the need for remote monitoring of facilities that did not have an independent reliable infrastructure to implement a full-fledged SCADA system. Back when IT infrastructure was prioritized for business communications within the limited bandwidth allocated, collection and transmission of process data through the available network infrastructure was a challenge. More so when there are concerns regarding the confidentiality of data being collected and transmitted. Individual facilities were provided with local instrumentation and controls for reliable operations. With the growing production rates, the focus generally goes for improving the processing facilities rather than reading, reporting or recording. Instead of an independent dedicated network for Supervisory Control and Data Acquisition system that mandate a huge infrastructural cost and dedicated skilled personnel, a pilot project was initiated with a minimum budget to test data transfer through existing communication network. Field transmitters were installed on Wellheads, Risers and Manifolds and Remote Terminal Units were provided to collect data from two platforms and to facilitate data transfer to the servers through existing microwave communication network with minimum field instrumentation. Considering bandwidth limitations and priority for business communications, servers in redundant configuration were placed strategically to ensure continuous data gathering. Pilot project was successful in providing reliable data and trends with minimum disruptions. Augmentation of DAMS network was envisioned to implement Digital Oil Field for monitoring multiple assets in real time. Implementation of Digital Oil Field continued with the addition of new field instrumentation and RTUs followed by server upgrades and integration of PLC based platform control systems to add four major producing platforms to the Data Acquisition and Monitoring System through existing microwave communication network. Upon successful commissioning, it was possible to gather data from various wellheads, process equipment and other independent meters for remote real time monitoring and analysis through user friendly HMI screens and customized dashboards to manage multiple assets effectively, improving performance evaluation, safety and reliability of operations.

Event driven high speed data acquisition with IEEE 1588 synchronization for long pulse operations of Indian Test Facility for ITER DNB

The Boeing Company is designing, developing and manufacturing the Core Stage and Avionics for NASA's heavy lift rocket, the Space Launch System (SLS), which will support missions beyond low earth orbit for the first time since the Apollo days. On the SLS vehicle many sensors are selected and used to provide critical information for testing, ground operations, and vehicle flight environments. Appropriate data acquisition systems that can interface and process the selected sensors is important to the success of the program. In this program, multiple data acquisition systems are used to interface with sensors at various development stages of the SLS vehicle, and at different sensor criticality levels. These phased configurations of data acquisition classes and complexity range from gathering sensor data during system level testing at Stennis Space Center (SSC), to transmitting flight information after liftoff at the Kennedy Space Center. One challenge that engineers are faced with pertains to how the data acquisition system is defined prior to understanding the quantity and type of sensors required for the application. This paper focuses mainly on the SLS flight system and provides a general overview of the system architecture. The paper also addresses the strategy used to define the data acquisition system, along with the methodology for selecting data acquisition cards that fit with the application.

A prototype of Electroencephalography (EEG) data acquisition system based on Raspberry Pi 3 model B and ADS1299EEGFE-PDK (Texas Instruments) has been developed. This system is compact, cost effective, and has high levels of accuracy and portability. This system has feature of relative power ratio (RPR) for further processing purposes. The analog front end (AFE) board consists of ADS 1299 chip with features of simultaneous eight-channels ADC, 24 bits resolution, low power, low noise. The data acquisition system was configured with 4 units of AFE board using Daisy-Chain method via Serial Peripheral Interface (SPI) and processed based on Raspberry. The data command of AFE were set using RDATA format. The data acquisition system using C for data acquired and MATLAB for signal processing. The RPR were calculated in real-time using FFT. The acquired and processed data would be sent to HDMI and to a Personal Computer (PC) if needed by users. The performance of this system was evaluated using EEG simulator (NETECH Mini-Sim EEG) that generate sinusoidal electrical signal with frequency 2 Hz, 5 Hz, and also voltage amplitude of 100 µV, 500 µV.

Data acquisition begins with the physical phenomenon or physical property to be measured. Examples of this include temperature, gas pressure, and light intensity, and force, fluid flow, regardless of the type of physical property to be measured. Physical property converted into digital, and then by the computer for storage, processing, display or printing process, the corresponding system is called data acquisition system. With the rapid development of computer technology, data acquisition systems quickly gained popularity. A variety of products based on digital technology have been created. Digital System spread quickly; it’s mainly the following two advantages: the first is the digital processing flexible and convenient; the second is a digital system is very reliable. The main idea of Reconfigurable computing technology [1] is using the FPGA [2][3] allows the system has a dynamically configurable capacity, suitable for harsh environment applications, improve the speed of data processing. By the use of dynamic reconfigurable FPGA devices can be realized on the hardware logic function modification, application of reconfigurable computing technology can improve the speed of data processing. Data acquisition system is widely applied in many fields, and often used the abominable working environment place. The reconfigurable computing technology, can greatly improve the data acquisition system reliability and safety. The paper introduces a kind of multi-channel data acquisition system based on USB bus and FPGA, the factors affecting the performance of system are discussed, and describes how to use reconfigurable computing technology to improve the efficiency of data acquisition system while reduce energy consumption. The system in this paper uses AD's AD9220, ALTERA's EP1C6-8 and IDT's IDT70V24, Cypress’s CY7C68013.

The purpose of this thesis is two-fold: to develop a computerized data acquisition system to replace a system using an oscilloscope-mounted Polaroid camera for recording waveforms, and secondly, to develop the processing software to supplement and ultimately replace the manual interpretations of the recorded signals. The impetus for upgrading the original acquisition system is provided by two main factors. The first is the volume and cost of the film required to record an entire waveform using the Polaroid camera and second, the time consuming method of recording and splicing the individual pictures together to form a complete waveform. The current system requires 10 minutes to record and 10 minutes to splice a single waveform. This excessive time precludes continuous profiling and immediate interpretation. Further time could be saved by changing from the manual interpretation technique to one performed by software. Greater consistency in interpretation results could also be achieved. To meet and exceed the resolution of the Polaroid-recorded waveform, the data acquisition system would require a sampling rate of 1 GHz. Sampling in real time at 1 GHz is possible. Systems are available that meet and exceed this sampling rate. However, the cost of these systems is prohibitive. This thesis covers the development of a low cost acquisition system that fills the 1 GHz sampling rate requirement. The analysis of the data is ad hoc hence the development of specialized software is also necessary. The development of the critical processing software will be covered.

A Data Acquisition (DAQ) system has become to be used in the field of large-scale scientific experiments with the advance of information technology. Especially, in DAQ System for a high energy physics experiment such as ATLAS experiment at CERN, parallel processing using a large number of network switches enhances the efficiency of acquiring and analyzing experimental data. Additionally, a DAQ system has many-to-one simultaneous communication that gathers data generated by a large number of detectors into one computer for analysis. Properties of such communication can cause network traffic congestions and packet losses, thereby decreasing throughput. One solution for such problem is Data Center Bridging (DCB) technology used to establish lossless Ethernet networks. In addition, since event fragments in a large-scale DAQ system are transmitted using many network switches, the buffer size of a network switch is critical. This study focuses on the queue of the network switch of a DAQ system using DCB and the effects on system performance. The fairness and throughput of each flow in many-to-one simultaneous communication system were measured. We confirmed maximum performance was achieved when an average queue length in the network switch was small.