Nowadays, Small quadcopters have made significant advancements in recent years, thanks to the development of control systems, the availability of sensors, and affordable and reliable materials for ...their production. Additionally, programs have been developed to model and analyze these aircraft before production. The professional applications of quadcopters are seemingly endless due to their many advantages. The aim of this research is to build a quadcopter and test its stability utilizing Arduino Mega, IMU sensor (Inertial Measurement Unit) and MPU-6050 in LabVIEW environment. The objective is to select the suitable PID parameters and create a remote-control program that can be operated using a smartphone and RemoteXY app on Android OS.
Labview for IoT Applications Enache, B.A.; Banica, C.K.; Bogdan, Ana Geroge
The scientific bulletin of Electrical Engineering Faculty,
09/2023, Letnik:
23, Številka:
1
Journal Article
Recenzirano
Odprti dostop
The Internet of Things (IoT) represents a paradigm shift, ushering in an era of technological innovation characterised by an array of novel services. IoT applications, with their potential to ...harmoniously merge the cyber and physical worlds, are nearly boundless. However, despite the extensive efforts put forth by standardisation bodies, alliances, industries, and the research community, a myriad of challenges remains to be addressed for IoT to reach its maximum potential. This paper presents a possible solution by merging the advantages of the LabView development medium with the lightweight communication provided by the MQTT protocol.
Display omitted
•Grid connected photovoltaic (GCPV) fault detection algorithm is proposed.•T-test statistical analysis is used as an indicator for diagnosis possible faults.•Eight different faults ...can be detected using the fault detection algorithm.•Multiple faults can be detected in multi stings in the GCPV plant.•LabVIEW software is used for implementing the suggested algorithm.
This paper presents detailed procedure for automatic fault detection and diagnosis of possible faults occurring in a grid-connected photovoltaic (GCPV) plant using statistical methods. The approach has been validated using an experimental data of climate and electrical parameters based on a 1.98kWp plant installed at the University of Huddersfield, United Kingdom. There are few instances of statistical tools being deployed in the analysis of PV measured data. The main focus of this paper is, therefore, to create a system capable of simulating the theoretical performances of PV systems and to enable statistical analysis of PV measured data. The fault detection algorithm compares the measured and theoretical output power using statistical t-test. In order to determine the location of the fault, the ratio between the measured and theoretical DC power and voltage is monitored. The obtained results indicate that the fault detection algorithm can detect and locate accurately different types of faults. Some of the typical faults are fault in a photovoltaic module, photovoltaic string and faulty maximum power point tracker (MPPT) unit. A virtual instrumentation (VI) LabVIEW software was used in the system development and implementation. This system was used successfully for fault detection on the GCPV plant.
Manufacturers of heat exchangers are constantly looking for new and better designs because it is essential to the preparation of any engineering gadget, like a Plate-fin heat exchanger (PFHE). To ...find an optimal design of a plate-fin heat exchanger, both hydraulic and economic issues are considered by proposing an optimization technique. The proposed technique minimizes both single and multi-objective functions like total heat transfer area, total pressure loss function, and the total annual cost of a PFHE. This work proposes a Chaotic Opposition-based Kho-Kho optimization technique to deal with single and multi-objective functions. Various benchmark functions have been assessed to evaluate the capabilities of the proposed techniques, including the Wilcoxon signed-rank test. Finally, the outputs such as total heat transfer area, total pressure loss function, and total annual cost are minimized by the proposed optimization technique, resulting in values of 78.50 m2, 0.051, and 834.64$, respectively.
•Optimal design of a successful PFHE.•Three design issues such as total heat transfer area, total pressure loss function, and total annual cost are considered.•Design is considered by both single objective problem and multi-objective problem.•To minimize the above design issues, a novel hybrid-Kho-Kho optimization is proposed to improve the performance.•Optimal results for the objectives based on the proposed technique are compared with some of the existing techniques.
The Electrocardiogram (ECG) is one of the most basic cardiological test done for any suspected diseases related to cardiological system. Abnormalities in any other system can also be detected with ...change in morphology of ECG. In this paper we note the changes in morphology of ECG for prediction of non-cardiac diseases like Emphysema, CNS haemorrhage, Thyroidism, Hypokalemia and Hyperkalemia. ECG is used to predict these diseases as it is a non-invasive technique and also the morphology of ECG wave is repetitive until any abnormality manifests itself through ECG. If any of the above mentioned non-cardiac diseases occur, significant changes appear in ECG signal and with the knowledge of these changes, early clues are provided regarding the diseases which are lifesaving. This paper works on acquisition and segmentation of ECG for extraction of features that are inevitable for the prediction of above mentioned diseases. The extracted features are classified as normal or abnormal based on the comparison with the reference signal. The reference signal contains information about the normal and abnormal morphological conditions of ECG which are segmented, extracted and stored prior in the LabVIEW. The automatic prediction of non-cardiac diseases is carried out with LabVIEW through which a tolerance method is used to correctly compare and predict that particular kind of disease. This will be later extended to real-time acquisition, processing and classification. The basic motive behind this project is to create an awareness and alert the patient before the fatal stage.
Magnetron sputtering is a widely used physical vapor deposition technique. Reactive sputtering is used for the deposition of, e.g, oxides, nitrides and carbides. In fundamental research, versatility ...is essential when designing or upgrading a deposition chamber. Furthermore, automated deposition systems are the norm in industrial production, but relatively uncommon in laboratory-scale systems used primarily for fundamental research. Combining automatization and computerized control with the required versatility for fundamental research constitutes a challenge in designing, developing, and upgrading laboratory deposition systems. The present article provides a detailed description of the design of a lab-scale deposition chamber for magnetron sputtering used for the deposition of metallic, oxide, nitride and oxynitride films with automated controls, dc or pulsed bias, and combined with a coil to enhance the plasma density near the substrate. LabVIEW software (provided as Supplementary Information) has been developed for a high degree of computerized or automated control of hardware and processes control and logging of process details.
•Design for high versatility thin film deposition system at a lab scale.•Fully detailed description of vacuum system for thin film deposition by sputtering.•Example of an update with automation of sputtering deposition system (available LabVIEW code).
In this work, we present a new algorithm for detecting faults in grid-connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed in the analysis of PV measured ...data. The main focus of this paper is, therefore, to outline a parallel fault detection algorithm that can diagnose faults on the DC-side and AC-side of the examined GCPV system based on the t-test statistical analysis method. For a given set of operational conditions, solar irradiance and module's temperature, a number of attributes such as voltage and power ratio of the PV strings are measured using virtual instrumentation (VI) LabVIEW software.
The results obtained indicate that the parallel fault detection algorithm can detect and locate accurately different types of faults such as, faulty PV module, faulty PV String, Faulty Bypass diode, Faulty Maximum power point tracking (MPPT) unit and Faulty DC/AC inverter unit. The parallel fault detection algorithm has been validated using an experimental data climate, with electrical parameters based on a 1.98 and 0.52 kWp PV systems installed at the University of Huddersfield, United Kingdom.
•Parallel fault detection algorithm for Gird-Connected Photovoltaic (GCPV) plants is presented.•New T-test statistical approach for detecting faults in the GCPV is demonstrated.•The algorithm can detect multiple faults in the DC-side and AC-side of the examined GCPV System.•Real-time long-term field data measurements taken from 1.98 kWp GCPV system.•Virtual instrumentation (VI) LabVIEW software is used to implement the statistical approach.
Lighting and light distribution have a crucial influence on factors such as performance and occupational safety.
This paper aims to create a virtual instrument (VI), developed around the Arduino Uno ...development platform, designed to measure the light intensity using the BPW34 sensitive silicon PIN photodiode. The reverse-biased photodiode can be used as a light detector by monitoring the current flowing through it. Coupled to a 10Kohm resistor and considering the specifications of the BPW34 model, a simple relationship is offered between lux (light intensity) and the voltage across the resistance. The virtual instrument reads this voltage and converts it to a light intensity value in Lux. There is also an alarming function if the light intensity exceeds the set value. The VI also shows basic statistics like Max, Mean, and Min light intensity values.
This study describes the implementation of a job evaluation computer application using the RULA (Rapid Assessment of Upper Limbs) method based on an artificial vision to optimize test time. The RULA ...method was studied and understood, and a program was developed using the LabVIEW Graphics programming language. As a camera that met the requirements of this project, the Kinect for Windows V2 was selected, the main advantage of which is an active depth sensor based on the light that allows access to the data represented by a simple frame. This facilitated the development of algorithms. The purpose of this application is to considerably reduce the evaluation time of forced postures, in addition to offering advantages such as real-time monitoring of the operator’s exposure conditions to ergonomic risks due to poor posture and repetitive movements. The software has less variation in the scores obtained by the algorithms than analysts using traditional methods. It is concluded that with the implementation of the application based on an artificial vision for the evaluation, greater efficiency was achieved in the process, in terms of time and precision factors, obtaining reliable results from the use of these technologies.
Keywords: posture assessment, artificial vision, LabVIEW, RULA.
Resumen
El objetivo del trabajo es describir la implementación de una aplicación informática de evaluación del trabajo mediante el método RULA (Rapid Assessment of Upper Limbs) basado en visión artificial para optimizar el tiempo de prueba. De principio se realizó el estudio del arte acerca del método RULA, posteriormente desarrolló un programa utilizando el lenguaje de programación LabVIEW Graphics. A través de la selección de una cámara que cumpla con los requerimientos de este proyecto, se seleccionó la Kinect para Windows V2, cuyas ventajas principales son tener un sensor de profundidad activo basado en luz que permite el acceso a los datos representados por un marco simple, esto facilitó el desarrollo de algoritmos. Esta aplicación tiene como objetivo reducir considerablemente el tiempo de evaluación de posturas forzadas, además de ofrecer ventajas como el monitoreo en tiempo real de las condiciones de exposición del operador a riesgos ergonómicos por mala postura y movimientos repetitivos. El software tiene menos variación en las puntuaciones obtenidas por los algoritmos que los analistas que utilizan métodos tradicionales. Se concluye que, con la implementación de la aplicación basada en visión artificial para la evaluación se logró mayor eficiencia en el proceso, en términos de factores de tiempo y precisión, obteniendo resultados confiables a partir del uso de estas tecnologías.
Palabras Clave: evaluación de posturas, visión artificial, LabVIEW, RULA.
PDF
