Development Of Data Acquisition System Research Articles

Development and evaluation of a low-cost data acquisition system using heterogeneous sensors

Acquiring human's musculoskeletal movements is pivotal in conducting physiotherapeutic studies, rehabilitation exercises, and designing assistive devices to cater mobility impairments. Existing studies are generally more focused on measuring a specific phenomenon and/or lack the diversity needed to cover the range of human activities. In this context, the research presented herein is aimed to develop a low-cost wearable sensory system, having a diverse set of sensors, which can acquire data of healthy and rehabilitated subjects alike during diverse locomotor activities in both indoor and outdoor environments. The system consists of 20 wearable sensors, and two off-the-shelf NI's myRIO microcontroller boards. The statistical analysis showed no significant difference between and among the subjects for various locomotor activities (P-values < 0.05), hence, showing the system's reliability and reproducibility. Gait-event identification (i.e., heel contact/toe off) has also been evaluated and showed promising results (overall time difference = ± 50 ms during level ground and ramp activities).

Development and Evaluation of a Low-Cost Data Acquisition System using Heterogeneous Sensors

Development and Evaluation of a Low-Cost Data Acquisition System using Heterogeneous Sensors

Design and development of a high-speed data acquisition system for acquiring acoustic emission signals

One of the most promising non-destructive testing method suitable for in-situ detection of damages in structures and materials is Acoustic emission (AE) testing. AE waveforms can be related to various source mechanisms using suitable signal processing techniques and are characterized by low amplitude, high frequency and short duration. Data acquisition system to capture and analyze such high frequency range AE signals are expensive. One of the key components in such commercial systems are the signal conditioning units. Thus, in the present work, a signal conditioning unit (SCU) is designed and developed to process the AE signals. Further, a low-cost AE signal data acquisition system was developed by using the fabricated signal condition unit. Signals from the data acquisition system was saved using Python libraries for further analysis. The developed system was tested at lab-scale by acquiring the signals generated during pencil lead break tests on a stainless steel and composite plates. The performance of the in-house developed AE data acquisition system has been compared with the commercially available one and the comparison results are presented in this paper.

Development of a Portable Data Acquisition System for Extensometry

Development of a Portable Data Acquisition System for Extensometry

Development of a Low-Cost Data Acquisition System for Very Short-Term Photovoltaic Power Forecasting

The rising adoption of renewable energy sources means we must turn our eyes to limitations in traditional energy systems. Intermittency, if left unaddressed, may lead to several power-quality and energy-efficiency issues. The objective of this work is to develop a working tool to support photovoltaic energy forecast models for real-time operation applications. The current paradigm of intra-hour solar-power forecasting is to use image-based approaches to predict the state of cloud composition for short time horizons. Since the objective of intra-minute forecasting is to address high-frequency intermittency, data must provide information on and surrounding these events. For that purpose, acquisition by exception was chosen as the guiding principle. The system performs power measurements at 1 Hz frequency, and whenever it detects variations over a certain threshold, it saves the data 10 s before and 4 s after the detection point. A multilayer perceptron neural network was used to determine its relevance to the forecasting problem. With a thorough selection of attributes and network structures, the results show very low error with R2 greater than 0.93 for both input variables tested with a time horizon of 60 s. In conclusion, the data provided by the acquisition system yielded relevant information for forecasts up to 60 s ahead.

RETRACTED ARTICLE: Rock and soil reconstruction of mountain slope based on embedded Internet of things and evaluation of college students’ physical health

Based on embedded technology and wireless mobile communication technology, the development of physical data acquisition system is realized, and the overall architecture of physical data acquisition system is designed. The system is composed of sensor terminal and application service center. The application service center takes S3C2440 development board as the core, carries out remote information collection and data transmission through the Internet of things and uses VC + + 6.0 as the software development environment of sensor terminal to realize remote management and data analysis. Then, it studies the flexible configuration method of IOT embedded terminal supporting multi-sensor access, as well as the corresponding hardware interface, communication protocol, communication protocol, etc., and designs the middleware and application layer configuration tool. The network embedded terminal equipment realizes the interaction and configuration function of the terminal. Before the geotechnical reconstruction of the slope, the geological conditions of the slope were measured by the measurement technology, and the extreme value balance analysis method was used to detect the slope surface to observe the stability. The results show that if the rising coefficient is less than or equal to 1.0, the rising is unstable. When the safety factor exceeds 1.15, the recalculation rate of some treatment regimens remains stable. Then, the embedded Internet of things is used to detect the physical health of college students. Based on the college students’ physical health evaluation method, the evaluation model of college students’ health test is established. The evaluation grades of boys and girls are relatively concentrated in the passing and good groups, which indicates that the overall situation is good. In this paper, through the study of the mountain slope geotechnical transformation and college students’ physical health evaluation, it is applied to the embedded Internet of things, so as to promote the development of geotechnical engineering and college students’ physical health.

Development of Multichannel High Time Resolution Data Acquisition System for TOT-ASIC

We developed a multichannel high time resolution data acquisition (DAQ) system for time-over-threshold (TOT) application specific integrated circuit (ASIC). The developed field-programmable gate array-based DAQ is composed of 144 channels per board with an Ethernet readout to measure energy and timing information simultaneously. The measured time precision of the developed DAQ board was reduced to 62.5 ps. The proposed DAQ with TOT-ASIC can potentially be used for several radiation detection applications, such as positron emission tomography (PET) and Compton imaging. The DAQ board is applied to PET and named PET readout board with a high-speed network (PETNET). In the first version developed, the PETNET had a time precision of 1 ns by implementing a double data rate method. This demonstrates that this method is useful for capturing electron-positron pairs of <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">22</sup> Na using two PETNETs. We obtained 2-D cross-sectional images placing two 8 ×8 detectors facing each other. In the second version developed, the PETNET had a time precision of 125 or 62.5 ps by implementing a delay-line method. Cable length measurements proved that PETNET has a position resolution of 4.5 cm at the speed of light. To synchronize the time of data on several PETNETs, a time-of-flight method was adopted, and all the data were compared with each other with accurate time precision.

Development of a Low-Power Underwater NFC-Enabled Sensor Device for Seaweed Monitoring.

Aquaculture farming faces challenges to increase production while maintaining welfare of livestock, efficiently use of resources, and being environmentally sustainable. To help overcome these challenges, remote and real-time monitoring of the environmental and biological conditions of the aquaculture site is highly important. Multiple remote monitoring solutions for investigating the growth of seaweed are available, but no integrated solution that monitors different biotic and abiotic factors exists. A new integrated multi-sensing system would reduce the cost and time required to deploy the system and provide useful information on the dynamic forces affecting the plants and the associated biomass of the harvest. In this work, we present the development of a novel miniature low-power NFC-enabled data acquisition system to monitor seaweed growth parameters in an aquaculture context. It logs temperature, light intensity, depth, and motion, and these data can be transmitted or downloaded to enable informed decision making for the seaweed farmers. The device is fully customisable and designed to be attached to seaweed or associated mooring lines. The developed system was characterised in laboratory settings to validate and calibrate the embedded sensors. It performs comparably to commercial environmental sensors, enabling the use of the device to be deployed in commercial and research settings.

Development of A Station for The Measurement of Environmental Conditions in The Unidades Tecnologicas De Santander (UTS), Using Telemetry and Database Management with Raspberry Pi

This article focuses on the development of an electronic remote data acquisition system which will have the following sensors adapted: thermometer, hygrometer and barometer. From the measurements of these will be obtained data of temperature, relative humidity, atmospheric pressure, which will be stored in the form of records in a data recorder using Raspberry Pi and through wireless communication the data will be transmitted when the software requires it to a module Central of visualization, which according to some parameters will automatically update the histories according to the defined times, or at the request of the user. It will be implemented following a process of research, planning, execution and validation. It implies the necessary information for the implementation, in the planning process the different systems to be used will be divided into 3 groups, measurement and registration system, communication system and a control system composed of the software, and then the acquisition will proceed of the equipment and accessories necessary to execute the assembly.In the execution process, the physical implementation of all the systems will be carried out and the programming of the data acquisition, communication and data storage systems will be developed.

Retracted] The Development of Data Acquisition System of Formula SAE Race Car Based on CAN Bus Communication Interface and Closed‐Loop Design of Racing Car

This paper is mainly based on the college formula race car, through the application of CAN bus communication interface settings, the layout and adjustment of the car sensors, and then carry out the data collection and analysis of the car. CAN bus is the local area network of controller and is one of the field bus which is put forward by German Bosch company and applied most widely in the world. The development of the data analysis system is mainly based on the MoTeC i2 data analysis software. MoTeC i2 data analysis software has been developed for many years under the continuous research of professional teams all over the world. According to the data analysis requirement of FSAE undergraduate Formula 1 teams, this paper introduces a series of data analysis methods closely related to FSAE, mainly including data channel research. This paper expounds the reliability, suspension, tire temperature, steering, and braking data analysis, respectively. Based on the data analysis template created by Motec i2, this paper conducts analysis and basic application according to the data of the real car, so as to meet the requirements of verifying design made by simulation model and tuning the real car scientifically. By means of wheel speed sensor, acceleration sensor, displacement sensor, multichannel temperature sensor, and so on, we conduct a series of tests on 2020 season car, including endurance test, linear acceleration experiment, steady rotation, etc., evaluate the data collected, and then carry on a reasonable set‐up of racing, ultimately improving lap speed.

Development of the Cloud-Based Magnetic Data Acquisition System for Real Time Geomagnetic Monitoring

Magnetic Data Acquisition System (MAGDAS) is a system of a real-time magnetometer data logger deployed by Kyushu Sangyo University of Fukuoka, Japan as part of Japan’s leading contribution to International Heliophysical year of the United Nations. This paper proposed a cloud-based MAGDAS for the YU-8T magnetometer. MAGDAS is the system that measures and monitors the earth’s magnetic field or geomagnetic field. Converting the old system to the new system will provide the capability to monitor the magnetic field changes continuously due to the solar activities which are harmful to the electrical appliances. To verify the workability of the system, the data from the MAGDAS Langkawi and solar event was gathered to be compared with the developed system. The location where the measurement takes place is at Pusat Sukan UiTM Shah Alam, Selangor, Malaysia (geographic latitude and longitude: 3.00N, 101.00E, and geomagnetic latitude and longitude: 6.37S, 173.65E. This project consists of the YU-8T magnetometer system, hardware, software, and cloud-based web-server. YU-8T magnetometer measures the voltage of Earth’s magnetic field in the form of H, D and Z parameters to be stored in the data logger. The stored data was transferred to the cloud-based web-server through the Internet of Thing (IoT) for real-time monitoring.

Research on Industrial Control Network Security Data Acquisition System

In this paper, based on the characteristics of industrial control network security data, research data analysis and data storage technology, design and development of industrial control network security data acquisition system, and through the AFL fuzz method for fuzzy testing, improve the system’s robustness and endogenous security performance. The realization of massive heterogeneous data collection and efficient normalization of industrial control networks can better serve the data layer and promote the rapid development of digitalization of industrial enterprises.

Development of Cost Effective Data Acquisition System to Evaluate the Performance of Solar Photovoltaic Thermal Systems

Abstract The thermal and electrical performance of the solar photovoltaic (PV) panel of a solar photovoltaic thermal (PVT) air system is determined experimentally in the present work. For this purpose, a data acquisition system was developed indigenously using ATMEL MEGA 2560 and ATMEL 328 microcontrollers. The parameters measured were PV panel surface temperature, inlet and outlet air temperatures, PV current, and voltage. The parameters were also compared with those of a reference PV system to demonstrate the effect of cooling of PV panel on its electrical power output. The experiments were performed in the locality of Tiruchirappalli, Tamilnadu, India (11 deg N latitude, 79 deg E longitude) and the working of the PV data acquisition was tested for a period of 3 months from February to April 2017. The results indicate acceptable working of the indigenously developed PV/PVT data acquisition system.

Research and Development of Measurement and Control System of New Energy Vehicle Computer Technology Test Bed

At present, with the increasingly prominent environmental problems, the automobile industry is gradually transforming to meet the increasingly stringent environmental requirements, and more and more new energy vehicles are put into use. This paper analysis the function of the new energy automobile test-bed: after combined with computer technology, research and development of multi-channel real-time dynamic data acquisition and analysis system. Finally the article discusses the combination of computer technology test measurement and control system design are verified. It provides a reference for measurement and control research of new energy automobile test-bed.

Development of a new centralized data acquisition system for seismic exploration

Abstract. Seismic exploration equipment has developed rapidly over the past few decades. One such piece of equipment is a centralized seismograph, which plays an important role in engineering, so improving its performance is of great scientific significance. In this research, the core part of general seismic-data acquisition devices is packaged to develop a centralized seismic-data acquisition system (named CUGB-CS48DAS) that has independent operating ability and high scalability, which can be used for seismic exploration in various engineering uses. Furthermore, by extending and modifying the acquisition circuit and corresponding software, the function of electrical method data acquisition has also been achieved. Thus, the proposed CUGB-CS48DAS makes it possible for joint exploration of seismic and electrical data in a single acquisition station, which is implicitly of great convenience in engineering prospecting as well as a solution to reduce the ambiguity problem. The low power-consumption computer of the system comprises a 24 bit Σ modulation A/D converter and 48 sampling channels with an optional sampling rate of 50 Hz to 64 kHz. With regard to the host computer, the architecture of the control software is smart, and it can integrate the multiple functions of data acquisition, preprocessing, and self-testing. To complete the networking ability and remote monitoring of this proposed system, the technology of the narrow-band internet of things (NB-IoT) was introduced and tested. Field experiments were implemented to prove that the system is stable and convenient to use, and the performance could meet the demand of high-precision joint exploration.

Development of wireless data acquisition system for soil monitoring

Agriculture is getting more inclined with modern technology. Automatic dataacquisition of soil condition with the help of a sensor lessens the time and manual work in testing a soil if it is suitable for planting. However, soil characteristic changes periodically. Thus, determining the macronutrients present in the soil is always a challenge for the currently available sensors because most of them can only get and give one or two information from the soil simultaneously. This research focused on the development of a digital single probe sensor to monitor the macronutrient contents of the soil, i.e. nitrogen, N; phosphorus, P; and potassium, K. Moreover, the soil’s temperature, moisture, and pH level were also monitored. In order to obtain the N-P-K content, a rod electrode or probe, which produces electrical potential in response to the reading, was utilized. The electrical conductivity of the soil provides the N-P-K values and the electrical resistivity of the soil gives the soil’s pH and moisture content. A canister for storing and releasing the reagents to enhance the sensor’s conductivity is installed and once the probe is injected in the soil, a button can be pressed to release the reagents to the soil. Moreover, a Wi-Fi module was installed in order for the user to monitor the data collected by the device. The calculated percentage error of the device in monitoring soil fertility is 12%.

Development of Arduino-based Data Acquisition System for Environmental Monitoring using Zigbee Communication Protocol

Data Acquisition Systems (DAS) are used for a variety of applications such as environmental monitoring,indoor climate control, health management and medical diagnostics, traffic surveillance and emergency response,disaster management among others. This paper presents the design of a DAS for monitoring environmentaltemperature, pressure and relative humidity. The system employs Arduino Uno microcontroller for signal processingand Zigbee transceivers operating on the 2.4 GHz license-free Industrial, Scientific and Medical (ISM) band ascommunication modules at both the transmitter and receiver ends. While the transmitter board houses the sensors, aGPS module and an LCD, the receiver system is interfaced with a PC which runs a developed MATLAB GUI for datadisplay and analysis and it incorporates an SD card for data storage. The battery-powered system is a low cost, lowpower consumption system which serves as a mini-weather station with real-time data logging, wirelesscommunication and tracking capabilities.

Development of HL-2M data integration and acquisition system for magnetic diagnostics

Magnetic measurement and diagnostics are critical for the operation of magnetic confinement experimental facilities and plasma analysis, while differential signals are mostly detected by a detector. For this, we have developed and designed a stable and reliable data integration system for HL-2M magnetic measurement and magnetic diagnostics. The system will be used for real-time control of HL-2M after the construction of HL-2M is completed. The system is built based on the PXI platform, and the software system is based on the LABVIEW platform. Key technologies realized by the system primarily include drift compensation, pulse data acquisition technology, multi-threading processing technology and transmission control communication protocol. Trials of the system were successfully carried out on HL-2A, and the results showed that the system could fully meet the construction needs of HL-2M.

The Development of High-Precision & High-Speed Synchronous Data Acquisition System in Vacuum-Thermal Test

The Vacuum-Thermal test is an important test to verify the correctness of the thermal design and ensure its long-term reliable operation during the development of the spacecraft. At present, the temperature measurement in the Vacuum-Thermal Test mostly adopts the serial mode to complete the data acquisition of the large data volume temperature sensor. This method balances performance and costs well. However, in some special circumstances, it cannot accurately reflect the instantaneous temperature of the test piece. Aiming at this problem, a high-precision and high-speed fully parallel data acquisition system is designed. Based on the accuracy of the original temperature data acquisition, high-speed synchronization technology is used to accurately acquire the transient temperature data of the spacecraft to verify the transient heat of the spacecraft. Features provide a data foundation.

Development of Real-Time Controller-Based Data Acquisition System for Indian Test Facility of ITER DNB

The Indian test facility (INTF) is a negative hydrogen ion-based 100-kV, 60-A, 5-Hz modulated NBI system having 3-s ON/20-s OFF duty cycle. Prime objective of the facility is to characterize ITER diagnostic neutral beam (DNB) with full specifications, prior to shipment and installation in ITER. The automated and safe operation of the system will require a reliable and rugged instrumentation and control system which provide control, data acquisition (DAQ), safety, and interlock functions, referred as INTF-DACS. The INTF-DACS has been designed based on the ITER CODAC architecture and ITER- plant control design handbook (PCDH) guidelines with the aim of developing the technical understanding of CODAC framework to be utilized for development of plant system instrumentation and control for DNB. Presently, the development work has been initiated for both the control system and DAQ system of INTF DACS. The INTF DAQ system has to perform functions related to acquiring, monitoring, timing synchronization, and archiving of the signals. It also has to interface with the control system of INTF to ensure proper operations. The DAQ system is designed for acquiring over 700 signals for 14 plant systems. The development of this whole system is done in NI LabVIEW using NI real-time PXIe. The PXIe platform with RTOS performs acquisition of signals at sampling rate of up to 10 KS/s. One of the main challenges is to develop the DAQ system to support multichannel triggered-based acquisition and monitoring for pulse durations up to 3600 s. The host layer is a distributed processing system consisting of two hosts and database system. To ensure timing synchronization, a dedicated timing network is included based on IEEE 1588 protocol with help of PXI timing cards. This helps in providing a timing reference to other future systems. For archiving data, MySQL-based data server is integrated for storing data for each experimental shot continuously which can be utilized later for query based data retrieval. In this paper, the development strategy and test results are discussed in order to develop the DAQ system for INTF including the development of interfaces with other components of DACS and experiences obtained, which can be utilized to develop similar DAQ systems of large scale. The novel methods developed for monitoring signals and file size reduction are also discussed.