NI LabVIEW Research Articles

Design Simulation and Data Analysis of an Optical Spectrometer

Spectrometers have a wide range of applications ranging from optical to non-optical spectroscopy. The need for compact, portable, and user-friendly spectrometers has been a focus of attention from small laboratories to the industrial scale. Here, the Czerny Turner configuration-based optical spectrometer simulation design was carried out using ZEMAX OpticStudio. A compact and low-cost optical spectrometer in the visible range was developed by using diffraction grating as a dispersive element and a USB-type webcam CCD (charge-coupled device) as a detector instead of an expensive commercial diffraction grating and detector. Using National Instruments LabVIEW, data acquisition, processing, and display techniques were made possible. We employed different virtual images in LabVIEW programs to collect the pixel-to-pixel information and wavelength-intensity information from the image captured using the webcam CCD. Finally, we demonstrated that the OpticStudio-based spectrometer and experimental measurements with the developed spectrometer were in good agreement.

Computer Interface for Remote Teleoperated Mobile Robot Based on LabVIEW and Open Source Hardware

A remote controlled mobile robot utilizing National Instruments LabVIEW software, communicating over a low-rate serial ISM radio link. The robot is modular in design with system modules connected via serial interfaces to a system controller. A custom power supply and distribution circuit board provides power to the robot using sealed lead acid batteries as the source. The mobile robot streams system voltage and current status, JPEG images, ambient temperature and humidity readings, and GPS location. The project demonstrates the successful use of LabVIEW to develop a system using communication over lowrate serial radio links.

Software developments for an electric motor test bench developed at the Faculty of Engineering of the University of Debrecen

At the Faculty of Engineering of the University of Debrecen, our research group has long-term experience in the dynamic modeling and simulation of electric motors. Several simulation modules have been developed during the last few years. The input data of the developed simulation modules are the technical parameters and characteristics of the analyzed motors. The mentioned technical data from the manufacturers is either not provided or it’s incomplete, thus, it is necessary to measure it. Additionally, the accuracy of the output dynamic functions, generated by the simulation modules, has to be tested experimentally. As a consequence, it was decided by the research group to realize a Measurement System for performing both above-mentioned experimental tasks routinely, at high accuracy and at a precision level. In this paper, a brief description of the Hardware Component of the Measurement System and a full detailed one of the developed Software Component is given. The Software Component of the Measurement System is implemented in NI LabVIEW, Java SE, and VBA with an underlying MySQL database. Applying the Software Component, the measured quantities can be monitored in real-time, displayed graphically while being stored in a database for later use.

Real-Time Adaptive Modulation Schemes for Underwater Acoustic OFDM Communication.

Adaptive modulation received significant attention for underwater acoustic (UA) communication systems with the aim of increasing the system efficiency. It is challenging to attain a high data rate in UA communication, as UA channels vary fast, along with the environmental factors. For a time-varying UA channel, a self-adaptive system is an attractive option, which can choose the best method according to the channel condition to guarantee the continuous connectivity and high performance constantly. A real-time orthogonal frequency-division multiplexing (OFDM)-based adaptive UA communication system is presented in this paper, employing the National Instruments (NI) LabVIEW software and NI CompactDAQ device. In this paper, the received SNR is considered as a performance metric to select the transmission parameters, which are sent back to the transmitter for data transmission. In this research, a UA OFDM communication system is developed, employing adaptive modulation schemes for a nonstationary UA environment which allows to select subcarriers, modulation size, and allocate power adaptively to enhance the reliability of communication, guarantee continuous connectivity, and boost data rate. The recent UA communication experiments carried out in the Canning River, Western Australia, verify the performance of the proposed adaptive UA OFDM system, and the experimental results confirm the superiority of the proposed adaptive scheme.

Electric Vehicle Charging Station Design by Using NI-LAB View

Global environmental concerns & rising energy demand, along with ongoing advancements in renewable energy technology, are creating new prospects for renewable energy consumption. Solar energy is perhaps the most plentiful, in- exhaustible, and environmentally friendly form of renewable energy currently available. Global warming has accelerated the development of Electric Vehicles (EVs), which look to be the greatest alternative to internal combustion engines (IC engines). Due to the rising number of electric cars on the road, charging them through the traditional fossil fuel-based grid is neither cost-effective or efficient. Thus, a charging station powered by renewable energy offers enormous possibilities & control for electric car charging. A charging station for electric vehicles that integrates solar energy or a storage battery (BEES) has been built for the present circumstances. To provide continuous electricity at the charging station, additional grid assistance is contemplated without adding to the system’s strain. Taking into account the dynamic charging requirements of EVs, the charging station design is developed and evaluated using the LAB VIEW programme.

Design and development of a novel multichannel data acquisition system using labview for an automobile air conditioning application

To sustain in the ever-changing environment and to combat the atmospheric effect, development of a highly efficient and an environment friendly air conditioning system which can run in parallel or as an alternative to an existing vapor compression system is the need of the hour and such novel hybrid air conditioning system are under development today. For the parameters attribution mapping of such novel hybrid air conditioning system, todays commercially available data acquisition systems (DAS) need to be customized to the requirements of addition of sensor nodes and their integration with triggering mechanism for actuation of devices for its programmed operation. Therefore, this paper describes the design and development of novel multichannel data acquisition system (NMDAS) for automobile air conditioning application. The details of the hardware design, software design, error analysis and testing of the NMDAS are presented. The proposed NMDAS uses PLC module DVP16SP configured with analog reader DVP 04TC for temperature measurement at 32 nodes and DVP04AD for pressure or humidity measurements at 8 nodes. The triggering circuit for activation of the relay is enabled using NI LabVIEW user interface and PLC data. The output of the NMDAS is integrated with processor by RS 232 port for data storage and processing. The error analysis of temperature, pressure and humidity measurements are done by comparing with reference calibration standards. The average thermal stability of the temperature sensors over the operating range of -5˚C to 150˚C is 0.0015°C. The average accuracy of pressure transmitters for operating range of pressure 0 to 40bar is estimated 98.219%. The minimum error in the output current is 0.375% and maximum error is 7.125% over relative humidity span of 0%RH to 100% RH respectively. The proposed NMDAS is used for testing of the novel hybrid air conditioning system of automobile during development stage and is found expedient.

An IoT based ECG system to diagnose cardiac pathologies for healthcare applications in smart cities

The present paper aims to describe the project and development of an ECG monitoring system which is able to diagnose specific cardiac pathologies by adapting the processing algorithm to the monitored patient. The system can work standalone by providing the final diagnosis to the patient by a LEDs set. In addition, an IoT based architecture allows the system to share data and diagnosis with a remote cardiologist in real-time or to store data in a FTP folder, as an Holter monitor, for post-processing and further analysis.The system consists of two sections: the digital one, based on the National Instruments MyRIO, digitalises the signal and processes it in real-time to make a diagnosis on possible occurring cardiac pathologies (bradycardia, tachycardia, infarction, ischemia); the analog section, which performs the acquisition, amplification, and preliminary filtering of a 3-leads electrocardiographic signal. The processing algorithm has been developed in NI LabVIEW environment. The main contribution to the state of the art is due to two removable and updatable memory devices. A first memory has been used to store clinical and personal data of patient so to configure the computing algorithm and adapt it to the monitored patient. A second memory has been used to store accuracy and uncertainty specifications of the ECG system in order to improve the reliability of the final diagnosis.The system aims to provide an electrocardiographic monitoring system for healthcare applications in the smart city context. The possibility to monitor constantly the patient health state at home is an important challenge of the next future smart cities. IoT and automation are the main aspects of the proposed system. Patients having chronic heart diseases need frequent hospitalizations to check their heart health. In this scenario, the proposed system is an Ambient Assisted Living solution developed to encourage the independent life of cardiac subjects by supporting his/her care and wellness during the daily life.

The Design of an Automatic Flight Control System and Dynamic Simulation for Fixed-Wing Unmanned Aerial Vehicle (UAV) using X-Plane and LabVIEW

This research focuses on developing an automatic flight control system for a fixed-wing unmanned aerial vehicle (UAV) using a software-in-the-loop method in which the PID controller is implemented in National Instruments LabVIEW software and the flight dynamics of the fixed-wing UAV are simulated using the X-Plane flight simulator. The fixed-wing UAV model is created using the Plane Maker software and is based on existing geometry and propulsion data from the literature. Gain tuning for the PID controller is accomplished using the pole placement technique. In this approach, the controller gain can be calculated using the dynamic parameters in the transfer function model and the desired characteristic equation. The proposed controller designs' performance is validated using attitude, altitude, and velocity hold simulations. The results demonstrate that the technique can be an effective tool for researchers to validate their UAV control algorithms by utilising the realistic UAV or manned aircraft models available in the X-Plane flight simulator.

Experimental investigations on robotic linear stage traverse error using draw wire sensor

Measuring linear displacement and rotation in robotic joints is vital for end effector positioning and producing the desired trajectory. The output pulse produced by driver system may not be completely converted into rotary motion of the stepper motor due to elevated loading conditions. This necessitates the gauging of stage traverse taking into consideration the effects of minor plays, guide screw pitch non uniformity, ill responses to pulses provided by the driver etc.The current paper presents a technique of measuring the errors occurring in displacement of a ball screw driven linear stage using a draw wire sensor (DW sensor) mounted on a stationary platform. The procedure involves proper design of mounting platform, ensuring orthogonal orientation of the sensor body, wire straightness check in both perpendicular planes and fabrication of wire fixtures. The output pulses from the DW sensor are acquired through NI Labview software using NI USB 6225 Data acquisition system. A mechanical dial gauge with 1 µm resolution and a laser displacement sensor is used to cross verify the obtained data. The results are then used to study the positioning accuracy of the developed 4 axis robotic arm.

Dimming controlled multi header pulse position modulation (MH-PPM) for visible light communication system

Abstract Visible light communication (VLC) has recently drawn more attention due to the existing light sources having a bandwidth that can deliver data transmission at higher bit rates. To maintain desired brightness levels along with reliable data transmission, VLC requires to control dimming levels. In this paper, a dimming control scheme based on pulse position modulation (PPM) is proposed, which constructs a dimming encoded frame per symbol of input data. The scheme utilizes multiple headers, which is selected depending on the dimming levels and the number of bits in a symbol of input data. The proposed scheme for the VLC system supports various dimming levels. The multi header PPM frame generation for input data K = 4 $K=4$ and dimming values α = 0.25, 0.375, and 0.5 is simulated using NI Labview. The proposed dimming scheme has an excellent short-run length property which is well under the maximum flickering time period and is thus capable of flicker mitigation. The slot error performance of the proposed dimming control scheme in a VLC system for varying dimming levels is simulated in Matlab. Simulation results show that the proposed scheme has excellent error performance for a low dimming value of α = 0.25. The experimental results are also carried out in the optisystem considering the practical measured parameters of the indoor environment for free space channel and simulating the VLC system for the proposed scheme. The simulation is carried for different data rates over varying link ranges and the experimental results show that the proposed scheme performs best when dimming value α = 0.25 and data rate 2 Gbps.

Predictive maintenance for rotating machinery by using vibration analysis

This paper presents a complete and well tested virtual instrument (VI) for computer numerical control (CNC) machine predictive maintenance. The national instrument (NI) hardware, LabVIEW software and accelerometer sensor are acquired for the vibration analysis integrated with virtual instrument were developed based on the vibration severity chart threshold in ISO 10816. Validation experiments of the predictive maintenance module were utilized on drilling and milling processes to test and verify the effectiveness of the module. Results obtained from current module can monitor and provide the machine conditions at different condition of good, satisfactory, unsatisfactory, and unacceptable for rotating machinery status according to the vibration severity chart as per ISO 10816.

Electron gun and collector for RAON EBIS charge breeder

A heavy-ion accelerator facility, called RAON, is being constructed in Korea. RAON is a large scale experimental facility for basic science research through nuclear physics experiments using various rare-isotope (RI) beams. An Electron Beam Ion Source (EBIS) will be utilized as a charge breeder in the isotope separation on-line (ISOL) system of RAON. The electron gun (e-gun) and electron collector are essential components of the EBIS to charge-breed the RI beams. The e-gun, a magnetically immersed type, has been designed to generate electron beams with currents up to 3 A. The material of the cathode is IrCe, which provide a higher current density and longer lifetime than the LaB6 cathodes. In addition, the collector which can dissipate electron beam power up to 20 kW has been designed and built. A test bench has been designed and constructed to commission the e-gun and collector sub-systems. The test bench is equipped with a negative high-voltage platform, called a cathode platform, to provide an independent electron beam current loop. The control system was also designed and implemented to be able to control two different platforms, such as the cathode and ground platforms, using the NI LabVIEW hardware and software. The experimental goals of the tests described in this paper are to generate and transport to collector 2 A electron beam, and to demonstrate a stable operation mode with electron beam width of 50 ms and a repetition rate of 10 Hz. These goals have been determined for the first charge breeding experiment, which is to obtain the charge-bred beam of Cs33+, in the future. This paper presents the electron gun and collector sub-system of RAON EBIS, including the cathode tests, the simulation results, and the electron beam experiment.

Draft measurement of five tyne duck foot plough in clay soil

In the present study, the draft requirement of five tyne duck foot plough was studied on clay soil for different soil moisture content, depth of operation and forward speed of tractor using a specially designed three-point hitch dynamometer. The designed dynamometer was matched with the tractors having category II or III hitch systems. The data acquisition system adopted for the dynamometer had NI WSN-3214 Strain Nodes, NI 9792 WSN real-time Gateway and NI LAB View 2013 software. A data logger program was developed for the three-point hitch dynamometer. The investigation was carried out at that three levels soil moisture content (10-13%, 14-16% and 17-20%), at three different depth of operation (15, 20 and 25 cm) and three levels of the forward speed of tractor (3, 5 and 7 km h-1). The designed dynamometer performed well in all the levels of the experiment. The results showed that draft force required for five tyne duck foot plough was increased (408 kg) with an increase in soil moisture content (17-20%), whereas it was increased (408 kg) with an increase in depth of operation (25 cm) and forward speed of tractor (7 km h-1). The suitable sweep, the forward speed of operation, depth of operation and soil moisture content that influenced the draft force and energy consumption for tillage operation of duck foot type plough were identified and developed duck foot plough was better coverage with better soil operation.

IoT Based Smart Parking Monitoring Using Labview and Node MCU

This paper is regarding planning a PC-based observance parking system supported IoT that may be applied at the park-like at the searching advanced and offices. This paper focuses on the event of front panel victimization National Instrument's LABVIEW package and Node MCU, Personal Computer (PC), and NODE MCU. The traditional parking lot system doesn't have a board and it cannot show the vacancy of automobile parking space. The user must gamble to hunt any vacancy and need to watch for the opposite automobile to exit from the automobile parking space. Up to the traditional parking system, it'll create the automobile parking space become well organized and user friendly. This paper can produce an automobile detection system by developing a PC-based front panel of parking lot operation knowledge. The system can convert the output from the sensing element to the programmable language to the computer-based mostly board. The board aims to indicate the standing and automobile parking space vacancy. The NODE MCU is employed to supply interfacing between hardware and package. By victimization Lab, VIEW, and Node MCU, the simulation of the physical system will be developed to watch the quantities to be measured and the standing of the instrumentation within the plant from remote purposes while not accessing the inaccessible areas of the plant. Through the traditional parking system victimization Lab VIEW and Node MCU, the front panel is with success developed and explained by planning a physical model of automobile parking space with automobile detector operation. These PC-based observance systems will be applied in varied industrial applications like building security systems and mill automation.

Cloud Based Real-Time Industrial Water Management Application for Tanks Using NI LabVIEW

Water being an essential commodity is stored at several locations such as buildings, offices domestic households, hospitals smart homes and specifically in industries in tanks. Any place where individuals live and carry out life processes, water plays a major role. Ensuring the proper usage and non-wastage of water is an obligation on every individual. This water is generally used for cleaning, daily use, and surgical instruments, sanitizing in the case of the medical field, manufacturing products, and even cooling of heavy machinery. Such large-scale applications, especially in industries like dairy, wastewater disposal, manufacturing, and food processing, impose documenting the levels of water from various tanks to keep track of the water levels used, cost usage, and generate warnings in the occurrence of any water wastage. This necessitates a sophisticated user interface that is both interactive and effective, for both the industrialists and the labour force. This project puts forth a solution to this stipulation. It consists of a front panel that shows each of the water monitoring system's controls and indicators, a report generation system, and a cloud server that incorporates the entire industrial monitoring system allowing it to be accessed remotely from anywhere on the planet. The framework is built with a graphical programming tool that employs function blocks as well as API keys to connect the cloud to the user interface. LabVIEW is a powerful tool for implementing this device on a desktop or in an industrial water management interface. LabVIEW is a versatile platform that can be used for real-time applications and used in combination with numerous high-quality industrial equipment. The framework of this project is configured to take into account the date, period, and consumption hours with a daily and monthly overview of the different locations of the tanks, and is interpreted and extracted in a LabVIEW VI based on the information requested by the user. A report is produced for the entire time period and records the data over a month. In addition to this function, the device can be remotely supervised through the cloud, and the overflow of the water sends warnings to the user based on the threshold set to avoid excessive loss of water. According to estimates, introducing such a water management scheme has supported industries and households in minimizing their water use, and decreasing costs by three times, making it efficient for the owners, and the government while also ensuring environmental sustainability.

Automation of ISP 51 Spectrograph by NI LabVIEW and digital camera

In this project, the ISP 51 (Inductively Coupled Plasma) automation was implemented to perform digital calculations. For this, a digital camera was placed in the spectrograph detection area, and all the images obtained were processed using the LabVIEW software environment.

Face Mask Detection Using LabView

<p>Rapid worldwide spread of Corona virus Disease 2019 (COVID 19) has resulted in a global pandemic. In present scenario due to covid-19, the mask has been an important part of our live for our safety as well as for the others safety so there is a need for efficient face mask detection applications in crowded areas like shopping malls, Public transportation etc. To ensure safety of the people in the surroundings. Face Mask Detection using NI LabVIEW. In this project a real-time system is developed to detect whether the person is wearing a mask or not by acquiring a real-time image of him through a Camera. The main challenges in detecting the mask are there are masks with various colors and patterns and secondly the background, light intensity are also the factors that affect the result. So, all these factors should be taken into consideration while developing the system in real-time. This system used for this application consists of vision development module. Vision development module helps to develop applications for machine vision and image processing applications we can use it with LabVIEW for real- time systems. A camera with good pixel quality is used for image acquisition. The captured image is of RGB format, it is difficult to analyze the image in this format, so it undergoes color plane extraction in this only a single plane of the image is considered which separates the mask from surroundings and results in a grey scale image for further processing. The image later is compared to a custom-made template dataset using pattern matching algorithm from vision assistant which helps to detect the mask region. overlaying techniques are used to highlight the mask region which shows that the person is wearing the mask.<strong></strong></p>

Deep Learning Automated System for Thermal Defectometry of Multilayer Materials

Currently, along with growth in industrial production, the requirements for product quality testing are also increasing. In the tasks of defectoscopy and defectometry of multilayer materials, the use of thermal nondestructive testing method is promising. At the same time, interpretation of thermal testing data is complicated by a number of factors, which makes the use of traditional methods of data processing ineffective. Therefore, an urgent task is to search for new methods of thermal testing that will automate the diagnostic process and increase information content of obtained results. The purpose of article is to use the advances in deep learning for processing results of active thermal testing of products made of multilayer materials and development of an automated system for thermal defectoscopy and defectometry of such products. The proposed system consists of a heating source, an infrared camera for recording sequences of thermograms and a digital information processing unit. Three neural network modules are used for automated data processing, each of which performs one of the tasks: defects detection and classification, determination of the defect depth and thickness. The software algorithms and user interface for interacting with system are programmed in the NI LabVIEW development environment.Experimental studies on samples made of multilayer fiberglass have shown a significant advantage of the developed system over using traditional methods for analyzing thermal testing data. The defect classification (determining the type) error on the test dataset was 15.7 %. Developed system ensured determination of defect depth with a relative error of 3.2 %, as well as the defect thickness with a relative error of 3.5 %.

APPLICATION OF MACHINE LEARNING FOR REMOTE ELECTRONICS EXPERIMENTS AS THE MEAN OF INDENTIFICATION

We are increasingly faced with automated solutions that create a dynamic and constantly evolving scientific and technical environment, with new challenges in finding more accurate and efficient solutions for identification. This article introduces a machine learning application that allows you to automatically recognize and identify learners in a distance learning experiment without being explicitly programmed. Experimental methods and components have been transferred to a distance learning laboratory environment. A conceptual model of an electronics laboratory has been developed for remote experiments using identification methods. This article focuses on machine learning using the LabVIEW package, which can access data and use it for self-study. The article presents the application of machine learning software LabVIEW National Instruments and NI ELVIS hardware simulators for electronic laboratory remote experiments and perspectives in the educational process.

СОЗДАНИЕ ВИРТУАЛЬНЫХ ЛАБОРАТОРНЫХ СТЕНДОВ С ПОМОЩЬЮ NI LABVIEW

The application of the development environment and the platform for executing NI 
 LabVIEW programs for creating virtual laboratory stands for metrology is considered. The environment 
 allows you to use ready-made widgets, such as animated scales, buttons and toggle switches, indica tors for displaying text and digital information, etc. to create the appearance of measuring instruments 
 and entire stands, and the «G» programming language used in this environment allows you to create 
 mathematical models that will underlie the operation of these devices. A key feature of NI LabVIEW is 
 the ability to change the appearance of widgets, which allows you to create stands, similar to real-life 
 ones