Network Data Acquisition System Research Articles

Design of Wireless Sensor Network Data Acquisition System via Health Sensor Based on Symmetric Encryption Algorithm

Abstract In order to improve the data collection effect of the wireless sensor network, a data collection system based on symmetric encryption algorithm is designed via health sensor. Upload the received data to the host via RS-232 to get the working mode and clock activity. The data acquisition circuit is designed with MSP430 module. The MapReduce programming model is used to complete data collection, a symmetric encryption algorithm is introduced, and a range data encryption query scheme with privacy protection function is designed. Apply it to the node data of the wireless sensor network to realize the secure data collection of the wireless sensor network. Experimental results show that the system has the advantages of high efficiency, large amount of data collection, and high residual energy of sensor network nodes.

Characteristics of different swimming styles of swimming events based on artificial neural network data acquisition system

Characteristics of different swimming styles of swimming events based on artificial neural network data acquisition system

Network Data Acquisition and Monitoring System for Intensive Care Mechanical Ventilation Treatment

The rise of model-based and machine learning methods have created increasingly realistic opportunities to implement personalized, patient-specific mechanical ventilation (MV) in the ICU. These methods require monitoring of real-time patient ventilation waveform data (VWD) during MV treatment. However, there are relatively few non-invasive and/or non-proprietary systems to monitor and record patient-specific lung condition in real-time. In this paper, we present a CARE network data acquisition and monitoring system (CARENet) to automate data collection and to remotely monitor patient-specific lung condition and ventilation parameters. The automated system acquires VWD from a mechanical ventilator using a data acquisition device (DAQ), stores data in network-attached storage (NAS), and processes VWDs via a data management platform (DMP) web application. The web application enables real-time and retrospective model-based monitoring and analysis of clinical MV data. In particular, CARENet provides detailed breath-by-breath patient-specific respiratory mechanics, as well as the overall trends assessing changes in patient condition. Validation testing with a retrospective data set illustrated how breath-to-breath and time-varying patient-ventilator interaction during MV can be monitored, and, in turn, can be used to guide MV treatment. The network data acquisition system design presented is low-cost, open, and enables continuous, automated, scalable, real-time collection and analysis of waveform data, to help improve decision making, care, and outcomes in MV.

Design of Data Acquisition System Based on Zigbee for Wireless Sensor Networks

With the continuous development of modern network technology, sensor technology and wireless communication technologies, the emergence and development of wireless sensor networks has been promoted. Among many wireless communication technologies, wireless communication technology featuring low power consumption, close proximity and low cost for ZigBee has attracted the research interest of researchers. Based on the current status of communication systems, based on the review and system analysis of wireless sensor networks, this paper proposes a ZigBee-based wireless sensor network data acquisition system, which avoids the reliability and installation of traditional wired sensor network data acquisition systems and shortcomings such as high maintenance costs and large wiring.

Recognition Method of Abnormal Data Based on Interval Estimation

The emergence of substantial abnormal data in network data acquisition system is due to the cognitive level of users mostly. The abnormal data not only cause the waste of storage and the operation resources, but also seriously affect the results of statistical analysis, How to identify the massive abnormal data is the premise to eliminate the abnormal data. Accordingly a detection method of abnormal data based on confidence interval, which is aimed to filter the abnormal data from the group, was proposed. Compared with the traditional method of simple random sampling, the sample space is selected from the overall sample by the above-mentioned method has more credibility. And different from the commonly used detection method which is aimed at abnormal point, this method can batch test the unexpected data. The experimental results suggest that this method can effectively filter out the abnormal data particularly in the cases where the data size is huge and the data deviation is not obvious. And on the basis of above-mentioned method, the detection result has little difference with the actual situation and the accuracy is over 90%.

Structure and software of the data acquisition network node in the SPASCHARM experiment

An intelligent crate controller controlled by the built-in ARM system has been developed for the new EuroMISS front-end electronics of the SPASCHARM experiment at the Institute for High Energy Physics (IHEP). The first version has a 250-Mbyte buffer memory and is capable of transmitting data to the network with a rate up to 70 Mbit/s. Building a computer into each crate with electronics has made it possible to produce distributed data acquisition and slow control systems of the setup. Principles of interaction of the crate controller, front-end electronics, and network data acquisition system are stated.

Research on Multi Agent Data Acquisition and Processing Technology of Distributed Network

In this paper, it proposed the function structure of distributed network data acquisition and processing system; based on the analysis of Agent, Agent principle and functional module, according to the characteristic of the servo control system fault diagnosis which is the electro-hydraulic position of the electrical and mechanical equipment, it puts a data acquisition and diagnosis system of Agent network structure, the specific function of the dynamic monitoring control Agent and fault identification Agent, it establishes their models and discusses the multi Agent coordination mechanism, the task decomposition and the control strategy of fault diagnosis.

Research and Application of FPGA-Based Polling Strategy in Ad Hoc Network Data Acquisition System

Ad Hoc network has the characteristics of self-organization and dynamic topology, so it can use polling strategy for data collection. In this paper, the data link layer of the Ad Hoc network data acquisition system has been carried out the detailed analysis and study, through the use of polling policy in the access network node to solve the problem of competition for resources and allocation mechanism in the network link, and improve the channel utilization and system stability. The design based on VHDL language to achieve RTL-level description of the Ad Hoc network data acquisition system, and Altera Corporation EP2C35F672C6 as target chip, and in the Quartus II platform 8.0 conducts synthesis, placement, routing, and comprehensive simulation, and finally inDE2 the experimental board download is verified. The entire hardware design is of simple structure, reliable high, real-time, and can be widely used in the field of sensor networks and mobile communications network.

Construction and Realization of Networked Virtual Test System Based on LabVIEW

This paper analyses the construction mode and the structure composition of hardware and software of networked virtual test system; explores solutions and realization technology for LabVIEW-based networked virtual test; carries out researches on remote control technology of networked virtual instrument; develops the networked virtual data acquisition and processing system based on LabVIEW; realizes the acquisition, transmission and processing of remote data as well as the remote control of the running state of virtual instrument.

An Operation-Server Based Data Acquisition System Architecture

Developments in networked embedded system technologies and programmable logic are making it possible to design new, highly flexible data acquisition system (DAS) architectures. We present a networked DAS architecture where the software resources required by the data acquisition (DAQ) units are acquired from a server dynamically, to be stored and executed in local memory. When the DAQ unit needs to call an operation not contained in its memory, the new operation is requested from the server, while resources occupied by operations that have not been used recently are released to make space for it. In this way it is possible to reduce the resource use of the embedded DAQ unit to only what is necessary for efficient operation in its major modes. Since new code is easily distributed to the DAQ units from the server, system upgrades are also simplified.

A meridional spectrometer

An imaging meridional spectrometer intended for studying the spectral composition and spatial distribution of night airglow and aurora is described. The spectrometer allows obtainment of 2D images of the major arc of the celestial hemisphere from 0° to 180° in the wavelength range 420–875 nm. The instrument has been developed in a field version, is operable under any meteorological conditions, and can operate both independently and as a component of a network data-acquisition system. Instrumental distortions of the obtained 2D images are analyzed and methods developed for their elimination are presented. The parameters of an ST-10XME CCD camera incorporated in the S180 spectrometer have been studied, and a mathematical model describing its characteristics has been developed. The software package developed for the spectrometer enables processing of the yielded data in a semiautomatic mode with allowance for errors induced by instrumental distortions. Primary processing of the results of spectrometric measurements of auroras at the Spitsbergen archipelago has been performed.

Plug&play, networked data acquisition systems reduce test costs

A measurement and automation platform that includes technologies such as Sensors Plug&Play, USB, and Ethernet allow users to get products to volume quickly and manufacture them efficiently, while still providing the flexibility to quickly adapt their data acquisition systems to test new product innovations.

Performance measurements of mixed data acquisition and LAN traffic on a credit-based flow-controlled ATM network

The high speed network is a key component in networked data acquisition systems. An ATM switch is a candidate for the network system in a DAQ (data acquisition system). We have studied the DAQ performance of the ATM network at the RCNP (Research Center for Nuclear Physics) at Osaka University. Data traffic on DAQ system has a very different traffic pattern from other network traffic. It may slow down the network performance. We have studied the network performance for several traffic patterns.

M. Nomachi and S. Ajimura, ed., Proceedings of the 2nd International Data Acquistion Workshop on Networked Data Acquisition Systems, World Scientific, Singapore and New Jersey, 1997, xiv+299p., 22×15.5cm, \13,680 [専門書

M. Nomachi and S. Ajimura, ed., Proceedings of the 2nd International Data Acquistion Workshop on Networked Data Acquisition Systems, World Scientific, Singapore and New Jersey, 1997, xiv+299p., 22×15.5cm, \13,680 [専門書

Rolling Weight Deflectometer with Thermal and Vibrational Bending Compensation

A pavement deflectometer has been developed for continuous measurement of airfield pavements under a rolling load wheel. The rolling weight deflectometer (RWD) measures pavement deflection using a new method of laser triangulation. It also compensates for bending of the beam on which the sensors are mounted. This compensation allows accurate measurement of deflection in the presence of motion and thermal effects. The deflection measurement incorporates data from four equally spaced pavement sensors mounted on a beam. The method requires the sensors to remain in a straight line at all times. This method was previously plagued with measurement errors caused by thermal and vibrational effects. The RWD uses a laser beam to monitor the state of bending of the physical beam in real time. The bending data are used with pavement sensor data to produce accurate deflection measurements in the presence of any amount of beam bending. The bending-compensated RWD produces deflection measurements on 0.3-m (1-ft) intervals with an accuracy of 40 microns (0.0015 in.) while moving at 10 km/hr (6 mph). The RWD is composed of a towed trailer, a networked data-acquisition system, and a load platform. Its essential elements consist of a horizontally transported beam, strategically placed pavement sensors, sensors to measure beam bending, an odometer, and a data-acquisition computer. A brief history of pavement deflection methods is presented along with a description of the RWD. Preliminary field results include a comparison between data obtained by a falling weight deflectometer and the RWD.

Rolling Weight Deflectometer with Thermal and Vibrational Bending Compensation

A pavement deflectometer has been developed for continuous measurement of airfield pavements under a rolling load wheel. The rolling weight deflectometer (RWD) measures pavement deflection using a new method of laser triangulation. It also compensates for bending of the beam on which the sensors are mounted. This compensation allows accurate measurement of deflection in the presence of motion and thermal effects. The deflection measurement incorporates data from four equally spaced pavement sensors mounted on a beam. The method requires the sensors to remain in a straight line at all times. This method was previously plagued with measurement errors caused by thermal and vibrational effects. The RWD uses a laser beam to monitor the state of bending of the physical beam in real time. The bending data are used with pavement sensor data to produce accurate deflection measurements in the presence of any amount of beam bending. The bending-compensated RWD produces deflection measurements on 0.3-m (1-ft) intervals with an accuracy of 40 microns (0.0015 in.) while moving at 10 km/hr (6 mph). The RWD is composed of a towed trailer, a networked data-acquisition system, and a load platform. Its essential elements consist of a horizontally transported beam, strategically placed pavement sensors, sensors to measure beam bending, an odometer, and a data-acquisition computer. A brief history of pavement deflection methods is presented along with a description of the RWD. Preliminary field results include a comparison between data obtained by a falling weight deflectometer and the RWD.

A network protocol for data acquisition at NSCL

A network protocol suited for data acquisition, designed and implemented by the authors, is described. The protocol is capable of sustained throughput of 400 Kbytes/s on Ethernet. The protocol has been embedded in a commercial intelligent Ethernet controller that provides a high-level interface to front-end systems in networked data acquisition systems. The discussion covers the protocol design goals, data transmission, link management performance, and the overall project status.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Performance of an Integrated, General-Purpose Networked Data Acquisition System

This paper describes a general-purpose real-time software system developed for a broad range of networked data acquisition and process control applications. Performance of the software on DEC LSI-11 and VAX computers, Ethernet, and CAMAC is presented, including measuremnents of network transfer rates, data acquisition rates, and interrupt response times.

Operating Applications of a Networked Data Acquisition System

This paper describes operating applications of a networked data acquisition computer system which has met the needs of researchers in a variety of scientific disciplines. The network software system, called IRANET (Interfield Research Associates Network Software System), has been effectively used in nuclear physics, plasma physics, aeronautical engineering, and semiconductor processing laboratories.