Design Of Data Acquisition System Research Articles

Design of High-Speed Data Acquisition System for Fast Line-Scan Spectrometry

Design of High-Speed Data Acquisition System for Fast Line-Scan Spectrometry

Input currents of CMOS SAR ADC in microcontroller, their measurement and behavior model from users point of view

The article introduces the possible issue of internal CMOS Successive Approximation Register microcontroller’s Analog-to-Digital Converters (ADC) input currents. It describes the nature of the ADC input current and its dependence on the sampling frequency but also explains the issue when the ADC input appears to the user as a voltage source. Methods for measurement of parameters such as input charge, residual voltage, and equivalent capacitance of sample-hold circuits are presented and used in the proposed simplified model of ADC input behavior. These parameters, which are not listed in the datasheets, if not respected in the data acquisition design, can adversely affect how the ADC is used when measuring signal sources with non-negligible internal resistance. The article also explains how to solve a voltage measurement on a source with high internal resistance even in a situation where, according to datasheets, it should already have limitations. If the microcontroller contains a dynamically switched multiplexer, it can lead to other consequences, such as changing the input current or residual voltage. The proposed simplified CMOS SAR ADC input behavior model in an MCU can help users in an MCU-based data acquisition system design.

Optimal Design of Data Acquisition System for Fault Diagnosis of Hydraulic Machinery

Abstract Fault diagnosis of hydraulic machinery has high requirements on the synchronization of monitoring data and the anti-interference of monitoring equipment. The performance and data quality of the existing operation monitoring equipment of the unit cannot meet the requirements. At the same time, due to the variety of sensors and the different wiring methods of different types of sensors, the preparation work such as wiring of data acquisition equipment in the test is complicated. This paper analyzes the application requirements of fault diagnosis data and the problems existing in the conventional data collection process. A data collection solution specified for diagnosis of hydraulic machinery, which better solves the problem of data synchronization, is designed. The new designed system has high sampling accuracy and anti-interference characteristics, as well as the advantages of strong capability and simple equipment deployment. The proposed system has been applied in multiple power stations, pumping stations and pump test platforms. The relevant functions have been effectively verified.

Design of FPGA-based data acquisition system for nanoparticle counting

Abstract As one of the effective means to monitor the environment, the number of particles in the air is gradually developing towards smaller nanoparticles. To improve the acquisition speed of nanoparticle signals and the count of the number of particle signals, this paper adopts the FPGA of Altera as the main control chip, combined with the high-speed ADC AD9280. The sampling of the particle pulse signal is realized, and the collected data is transmitted to the host computer through serial communication. Through the designed peak detection algorithm, the algorithm is hardware accelerated to realize real-time continuous processing of particle signal, calculate the number of peaks, and then get the number of particles. In this paper, the hardware circuit and FPGA logic design of the system are described, and the acquisition system is tested. The results show that the system can meet the requirements.

Design and implementation of a beam-synchronized data acquisition system for CSNS accelerator

Design and implementation of a beam-synchronized data acquisition system for CSNS accelerator

Design and Development of Arduino-Based Four-Channel Data Acquisition System with Digital Temperature Control for Chemiresistive Sensors

We report the design and development of simple and economical Arduino-based four-channel data acquisition system with digital temperature control that is suitable for sensor parameter optimization involved in the search of appropriate chemiresistive gas sensing material for a particular gas. The developed system is capable of simultaneously capturing the data as well as controlling the desired operating temperature (up to 300 °C) of four sensing elements. This is achieved by employing sixteen analog and digital channels of the Arduino nano microcontroller. The sensing circuit is capable of recording the resistance changes from 20 kΩ to 5 MΩ at a rate of 15 kHz. The developed system has been tested rigorously, validated and demonstrated for its effectiveness towards investigating the gas sensing properties of chemiresistive NO2 sensors realized using ZnO nanowires. The present simple and low-cost alternative finds its application for developing the target specific chemiresistive sensors in particular for investigating the gas sensing properties of metal oxide semiconductors.

A dedicated in-beam PET system with a modular dual-head for radiotherapy imaging in HIMM

This paper presents a heavy-ion in-beam PET, referred to as ibPET with a specifically custom designed data acquisition system, which was constructed and tested at the Heavy Ion Medical Machine (HIMM) beam-line, HICTC in Wuwei. The data acquisition system of ibPET has undergone several upgrades during the years, And its data processing capability now exceeds one million events per second per channel. To achieve optimal performance of the ibPET under existing conditions, we tested coincident events and noise equivalent count (NEC) under different time coincidence windows.The results show that the signal-to-noise ratio of the reconstructed image data reaches its peak when the time window is around 3 ns, indicating that the ibPET performance is optimal at this point. In order to determine the size of the time window, we measured the system's time resolution FWHM to be 1.63 ns, and ultimately chose a time window size of twice the time resolution FWHM, which is 3.25 ns. Meanwhile, we demonstrate the capability of our ibPET to monitor the dose range with various irradiation. The results demonstrate that the system exhibits the expected exponential decay in counting rate after irradiation, and accurately provides penetration depth positions at different energy levels.

Design of human lower limb motion data acquisition system based on multi-sensor

In order to protect the health of older people, a wearable lower extremity motion data acquisition system was designed. With STM32F103C8T6 as the core, the system uses an inertial attitude sensor to collect lower limb motion attitude information. In view of the large difference in plantar pressure data of different fall types, the distributed flexible film plantar pressure sensor is used to collect plantar pressure information as an auxiliary discrimination means, which can accurately distinguish the fall behavior from other behaviors, and carry out data transmission through the wireless module. The device is small in size, light in weight, low in power consumption, and wearable, which is easy to apply in the field of health monitoring, and can also be used as a reference for the implementation of corresponding protection strategies for active lower limb prosthetics.

A Method for Evaluating Global Navigation Satellite System Position Accuracy in Small Unmanned Aircraft Systems

Highlights A novel UAS-based GNSS testing system was developed to assess both horizontal and vertical accuracy components. Recommendations are provided for further standard development related to UAS GNSS testing protocols. Future research can utilize this framework to enhance understanding of UAS GNSS accuracy. Abstract. Current standards for Global Navigation Satellite Systems (GNSS) testing are primarily designed for assessing horizontal positioning accuracy in ground-based applications. However, there is a notable absence of guidelines specifically addressing vertical accuracy assessment and applications that extend beyond ground-based scenarios, including those involving small unmanned aircraft systems (UAS). This effort aimed to develop a UAS-based GNSS testing system, tailored for the evaluation of GNSS receiver performance in dynamic low-altitude scenarios. The main objectives included (1) designing a GNSS testing system for UAS applications and (2) validating the system through field testing. The system development consisted of GNSS receiver configuration, data acquisition system design, processing procedures, and UAS payload and base station component design. The UAS payload featured multiple GNSS receivers operating in different modes, and data were collected using a custom Python script on a Raspberry Pi computer. For in-field validation, dynamic flight testing with vertical profiles was conducted. A robotic tracking total station (TTS) was used as the reference instrument for measuring the location of the UAS payload. The findings underscore the system's capabilities, primarily emphasizing its functionality rather than conducting an extensive assessment of the individual GNSS receiver performance. The UAS-based testing system that was developed was capable of satisfying most of the criteria for existing GNSS test standards. The insights derived from this process offer recommendations for standardizing UAS-based GNSS testing methods, with a particular focus on mission design, battery management, data processing, and environmental adaptability. Keywords: Dynamic Error, Global Navigation Satellite Systems (GNSS), Positioning Accuracy, Tracking Total Station (TTS), Unmanned Aircraft Systems (UAS).

Design of an FPGA-Based High-Speed Data Acquisition System for Frequency Scanning Interferometry Long-Range Measurement

Design of an FPGA-Based High-Speed Data Acquisition System for Frequency Scanning Interferometry Long-Range Measurement

Design of a Common High-Performance Data Acquisition System for Physics Experiments at HIAF

Design of a Common High-Performance Data Acquisition System for Physics Experiments at HIAF

Design of industrial equipment data acquisition system based on ZYNQ

Abstract In this paper, an industrial equipment data acquisition system based on a ZYNQ chip is constructed using an AD7607 data acquisition module containing a symmetric layout. Next, four modules of signal output, data writing, caching and communication are designed. Focusing on the design of the signal processing system after analog-to-digital conversion, the D-S evidence processing algorithm is utilized to judge the obtained data independently and fuse the data based on its D-S combination rule. Finally, the industrial equipment acquisition system design is tested, and the test includes system performance, accuracy, and stability. The frequency peaks obtained by the system in this paper are all 1000.000Hz, as shown by the results. The signal peak value of 95.18mV, the NI acquisition card signal peak value of 98.33mV, and the error is only 0.89%. The signal-to-noise ratio of the sampled signal is 50.12dB, and the effective number of bits reaches 10.40 bits. The performance of the system and the accuracy and stability of data acquisition on industrial equipment are verified.

Design of a multiparameter data acquisition and control system for in situ seabed observation base stations

AbstractWith the exploration, development, and research of deep‐sea resources, there is an urgent need for long‐term and continuous observation data of the deep‐sea seabed boundary layer. The traditional method of deep‐sea seabed survey and sampling based on scientific research vessels has the discontinuity of observation data in space and time scales. There are some problems in the seabed in situ observation method based on the seabed observation network for low mobility and high operation and maintenance costs, restricting the in‐depth understanding of the dynamic change process of the deep‐sea floor. To solve the above problems, an open and modular data acquisition control system was designed based on an embedded system and signal processing technology. In terms of the physical, chemical, geological, and ecosystem characteristics of the seafloor or near the seafloor boundary layer, various functional sensors and instrumentation were matched to form an independent underwater integrated measurement or experimental device, eventually realizing in situ multiparameter and long‐time series observations of the seafloor. The system data acquisition and control test were completed through laboratory experiments, which verified the feasibility of the system design. The research showed important theoretical and technical reference significance for the exploration and development of resources in the submarine boundary layer and the promotion of deep‐sea scientific research.

Light Induced Degradation Quantification by Monitoring the VOC Output of Silicon Solar Cell Using Low-Cost Real-Time Virtual Instrumentation

Silicon-based solar cells suffer from different types of light-induced efficiency losses (can cause up to 10% loss), known as light-induced degradation (LID). Impurities, such as boron, iron, and oxygen, are common at different concentrations in these solar cells. They form active recombination defects in boron-doped mono-crystalline (Cz-Si) and multi-crystalline (mc-Si) solar cells during illumination. For the solar industry, this will lead to serious financial loss, hence the importance of inspecting and controlling the LID level accurately. Seeking to minimize the human factor and the inaccuracy that comes with it, we have proposed in this research a low-cost virtual instrumentation solution to provide a new real-time instrumentation technique for solar cell characteristics such as open circuit voltage (VOC). The virtual data acquisition system (VDAS) design is based on a low-cost Arduino board associated with MATLAB/Simulink software. Moreover, this system can collect in real time the values of solar cell outputs under prolonged illumination and under different temperatures of the LID test. Further, kinetic modeling of the solar cell output VOC variation as a function of light soak duration; shows the predominance of one type metastable defect over the LID test of c-Si solar cells. Additionally, degradation mechanism in mc-Si solar cells involve more than one metastable defect and are more complexes due to the mc-Si substrate elaboration technique compared to c-Si substrate. Furthermore, the temperature dependence of the concentrations (NVoc) and the thermal activation energies of the defects have been extracted from the experimental VOC measurements obtained using the VDAS. Finally, the system minimizes the test period and errors for solar cell characterization compared to traditional approaches.

Retracted: Design of Game Data Acquisition System Based on Artificial Intelligence Algorithm

Retracted: Design of Game Data Acquisition System Based on Artificial Intelligence Algorithm

The design and development of the Super-X device data acquisition and monitoring system

To meet the construction requirements of future fusion reactors and other large-scale superconducting magnets, China is building an advanced superconducting conductor experimental device (Super-X) to evaluate the performance of future superconducting components. To ensure the reliability, stability of the Super-X devices and the flexibility, extensibility of the experimental tests, a specialized data acquisition and monitoring system has been designed and developed, which comprises three main components: data acquisition, transmission, and storage. For the data acquisition, a driver plug-in dynamic loading mechanism is employed to shield the diversification of data acquisition devices, thereby providing a unified data interface for upper-level operations. In terms of data transmission, the publish/subscribe (pub/sub) mode of ZeroMQ was utilized to meet the high-speed sampling demands (10 kHz sampling rate) of data transmission. In addition, a data distribution service improvement strategy that employs multiple workers is proposed to enhance subscriber reception capacity and reduce data transmission loss. As for data storage, a combination of short-term and long-term databases is used to improve the efficiency of data queries. The results of testing indicate that the system can satisfy the operational and experimental requirements of the device.

Remote Data Acquisition System for Photovoltaic Water Pumping System in Sukkar, Pakistan

Access to high-speed internet connectivity is limited in Sukkur, Pakistan, making alternative communication technologies essential for real-time monitoring and control of photovoltaic (PV) water pumping systems. This research paper presents the design, implementation, and evaluation of a GSM-based remote data acquisition and logging system for a PV water pumping system in Sukkur. Leveraging abundant sunlight in the region, the proposed system utilizes 2G GSM technology for communication between the PV system and the remote monitoring station. A network of sensors captures key parameters, and the acquired data is processed, stored, and transmitted using 2G GSM, enabling remote access and real-time monitoring from any location with GSM coverage. The implemented system incorporates an Arduino microcontroller for core operation and employs an SD card for data logging. Real-time data logging allows for detailed tracking and analysis of system performance, facilitating troubleshooting and optimization. Data stored on the SD card can be transferred to a computer for further analysis using data analysis software or custom applications, providing meaningful representation of trends and insights into system operation. The system also features an OLED display for real-time feedback on essential parameters, including solar irradiance, water level, and pump status. Furthermore, the integration of user prompts and GSM communication enables remote monitoring and control, empowering users to inquire about system status and remotely activate or deactivate the pump through SMS commands. The system offers a robust and adaptable solution for efficient management and maintenance of the solar-powered water pumping system in Sukkur, Pakistan.

Design and development of data acquisition system (DAS) for panel characterization in PV energy systems

Data acquisition systems are commonly used to monitor the power generation performance and efficiency of solar energy systems. The main purpose of this study is to monitor the PVs used by mounting on the outer surface of rapidly growing green buildings from a single point and to intervene when necessary. The proposed prototype aims to both characterize the panel performance and quickly detect the failed PV panel by using a single low-cost control box and cloud based open-source software. With this system, the separate current–voltage-power output parameters of all panels and characterization curves can be automatically obtained and at the same time, all environmental conditions (radiation, UV, temperature, wind speed and direction, pressure, humidity, rain, dust and PV panel temperature) affecting the PV modules can be simultaneously recorded.The software used in the developed system is open source, free of charge and user-friendly..

Design of a high performance Digital data AcquIsition SYstem (DAISY) for innovative nuclear experiments

A dedicated digital data acquisition (DAQ) system has been developed for innovative nuclear data measurements, from time-of-flight to irradiation experiments as well as other basic nuclear physics experiments. The DAQ system is based on fast digitizers with 14 bits resolution and 1 GS/s sampling rate for reliable pulse shape discrimination, energy and timing resolution measurements. Thanks to the high throughput provided by the PCIe bus, data can be processed at CPU or co-processor level, thus allowing great flexibility and reliability. The use of an external clock system and a dedicated triggering system guarantee a very precise synchronization with other possible subsystems in any experimental setup. Finally, its modularity allows to build a flexible and scalable system.

Research and Test on the Device of Downhole Near-Bit Temperature and Pressure Measurement While Drilling

The accurate acquisition of downhole engineering parameters, such as real-time pressure and temperature measurements, plays a crucial role in mitigating drilling risks and preventing accidents. In this study, we present the design of a real-time data acquisition and transmission system for drilling operations. The system utilizes a near-bit measurement method to simultaneously measure downhole parameters, including mud pressure and temperature. By analyzing the pressure and temperature frequencies obtained from a quartz crystal pressure gauge and compensating for temperature effects, accurate pressure values are obtained. The resistance value of a PT1000 sensor is measured, and a second-order fitting is performed using laboratory scale coefficients to determine the temperature values. The data acquisition system employs an advanced microcontroller as the main control chip, along with an A/D conversion chip. Additionally, signal amplification, data storage modules, data transmission modules, and relevant peripheral circuits are designed. The field tests were conducted in the 4605~4620 m well section of well Qing 2-76 in the Yumen Oilfield. The results demonstrate stable transmission signals and accurate decoding, enabling the real-time monitoring of pressure and temperature. The tests yielded favorable outcomes, providing a tangible means to analyze the actual operating conditions of the downhole drill string.