LabVIEW Software Research Articles

Применение технологий когнитивного радио для информационной поддержки автобусных путешествий

The current tasks of information support for bus travel are limited to general information about the trip and excursions, for example, in the form of the purpose and duration of the tour as a whole and individual trips to the objects of the tour, the plan and cost of excursions. During the main part of a sufficiently long trip, a qualified guide or accompanying person gives standard information about the history and sights of the points visited or passed on the route. On the way back to the place of permanent or temporary deployment, travelers are usually offered to watch a movie from the standard collection or just relax. The main problem here is the lack of functionality, flexibility and efficiency in the formation of information content, the limited channels for its delivery. One of the solutions to this problem is local radio broadcasting using a variety of information sources and the use of cognitive radio technologies for information delivery. It is understood that the preparation of information content can be performed in real time. The study of the effectiveness of this proposal is the purpose of this work. Methods: The substantiation of the possibility and effectiveness evaluation of the cognitive radio technologies application was carried out by devices prototyping using USRP devices in conjunction with the LabVIEW package. Results: the following tasks are solved: scanning the frequency range to determine the free area sufficient for high-quality reproduction and select desired information content; receiving and writing to a file of a radio signal digitized samples with a given quality; real-time rebroadcasting of found content in a selected section of the frequency range; file multimedia and speech content transmission in the selected section of the frequency range with a given quality using FM radio standard. Conclusions: The rich tuning and indication set of the developed prototypes allows using these also for educational and research purposes, including in distance educational mode.

Greenhouse Monitoring and Controlling Using LabVIEW Automation

Traditional greenhouses need to regulate or monitor and control the climactic condition changes to grow healthy plants and other crops. A greenhouse control system should ideally include data collecting, transmission, and remote monitoring. This paper design a system of a model that controls and monitor the temperature, light intensity and soil moisture level right and left side of the soil by sensing the values from sensors and controlling the temperature, and moisture of the soil using one fan, water pumps accordingly. Monitoring and controlling a greenhouse environment collects data from sensors that affect the pace of growth of healthy plants. The system has several physical characteristics to measure, including temperature, light intensity, and moisture. These parameters were sensed using sensors and current/live data was supplied to a computer software Lab view application using an NI DAQ card. Using these measured parameters, save it in a notepad file format and then use Excel to analyze the data for any system or greenhouse modifications or corrections. Recently, the market has seen significant advancements in the automation business. Automation is involved in every sector such as in smart homes, smart industry, and smart agriculture. Greenhouses are a significant means for farmers in rural and urban regions to benefit from automatic monitoring and management of greenhouse environment parameters, which will replace direct human monitoring.

Oscillating Back Pressure Regulator (OBPR) for High-Pressure Core Flooding

The challenge in the core analysis industry is the availability of a versatile back pressure regulator (BPR) that can operate efficiently at ultra-low or no-flow conditions at very high pressure. The existing models of back pressure regulators are limited to a specific range of operating conditions, automation, and robust core flooding environment. In this work, we developed an initial stage prototype of an Oscillating BPR (OBPR), emphasizing detailed instrumentation and implemented automation. The critical component in an OBPR is the valve that needs to operate within defined close and open position based on the feedback received from an encoder rather than the oscillation created by the flow system or by using a square wave oscillator. The paper investigates the static and dynamic characteristics of the newly designed OBPR instrument. The paper discusses the graphical programming LabVIEW software used to create the feedback control loop using the PID controller. Initial results of the test run were done with the different core flooding systems like Water, Brine, and CO2. The study also included comparing OBPR pressure performance with the standard back pressure regulator in the market.

Sensor fusion applied to the estimate of luminous intensity (LUX) in practical class

In the last ten years, the development of sensors with greater accuracy and precision due to improvements in manufacturing processes has enabled the expansion of their use in several areas. However, the purchase price, mainly of products from renowned manufacturers, in view of their applications, can make simpler projects unfeasible. The sensor data fusion technique is a viable alternative to resolve this issue, as mathematical models can be proposed and used in different situations. These models allow improving the data obtained in order to generate reliable information. Therefore, the objective of this work was to verify the performance of multiple linear regression applied to the fusion of redundant quantitative data from 5mm LDR sensors in estimating the luminous intensity (LUX) in simulated scenarios. To carry out the experiment, 3 LDR (Light Dependent Resistor) sensors, 3 LM393 signal conditioners, 1 USB 6009 DAQ data acquisition board (14 bits), 1 LT40 Extech luxmeter, in addition to the LabView software were used. It was found that LDR A and B sensors showed higher levels of accuracy. Furthermore, a significant improvement in the level of accuracy was found when combining data from sensors A and B in the form of multiple linear regression.

Simulation in the temperature parameters control in the yogurt manufacturing process

Industry 4.0 was born in the 2010 decade under the automotive sector, in what would be known as smart manufacturing, the fourth industrial revolution, and the industry digital transformation through the data acquisition in industrial processes. It was a change in the goods production methods and generated a new social-economic dynamics. For this reason, the objective of this research is the “Simulation in the temperature parameters control in the yogurt manufacturing process” by using the National Instruments’ LabView v20 software, which allows the control of temperature parameters in fermentation tanks for yogurt manufacture. The yogurt manufacture comprises operations such as pasteurization (80 to 85 °C), followed by cooling (45 °C) of milk, and bacterial fermentation of milk, which provides the texture and flavor that characterize yogurt. To achieve this, a controlled temperature is required between 42 and 45 °C, being 43 °C the optimal temperature (set point). After the fermentation, the yogurt is cooled to a temperature of 5-10 °C for storage. It was necessary to place the thermometer, graph indicator, LED diodes, speed adjustment dial, and stop button in the front panel; on the other hand, VI, random number, multiplier factor, scan rate timer, and the Constant Indicator were placed in the block diagram. The diodes for every temperature parameter in the manufacturing process were enabled (on-off). As a result, by means of the LabView software, the temperature parameters’ control could be simulated in the yogurt manufacturing stages, namely, pasteurization, cooling to 45 °C, fermentation, and yogurt cooling. With this simulation, graphs and numeric data on the yogurt manufacture could be obtained.

DESIGN OF DIFFERENTIAL THERMAL ANALYSIS TOOL AIDS FOR MELTING POINT MATERIAL ANALYSIS

This research aims to design differential thermal analysis tool aids to analyze the melting point of the material. Differential Thermal Analysis props have a furnace with a maximum temperature of 600 °C. The temperature sensor used is a K-type thermocouple with a measurement range of -200 °C to 1200 °C. A controller used to control the temperature of the furnace is Autonics with a digital temperature controller type TK4M. Measurement of the value of the temperature in the furnace using an Arduino Uno microcontroller connected to LabVIEW software via USB. Measurement of the melting point of the material used in these props is tested on material Indium (In), tin (Sn), and zinc (Zn) with melting points 152,5 °C, 231,5 °C, and 425 °C.

Implementation of Soil Lateral Pressure Measurement due to Vehicle Under Constant Speed Based on LabVIEW Software

The weight of the vehicle should be able to reflect the magnitude of the horizontal pressure that occurs on the ground being passed. However, until now practically the calculation of lateral earth pressure on the roadside is still calculated from the static load which is considered equivalent. Therefore, this study aims to provide a simple formula for calculating lateral stresses caused by vehicles at constant speed. Measurements were made by recording the lateral pressure in real time using the load cell sensor system and the LabVIEW NI (National Instrument) processing unit, with a reading of ± 0.02%. Data collection was carried out through observation and the results showed that the greatest effect occurred when the load position was at the closest distance to the monitoring device. The monitored stress distribution is quite in line with the Boussinesq approach to static loads. The lateral stresses that occur are compared with the results of the Boussinesq formula for a constant load is about 0.003 times. However, further research still needs to be done to obtain the exact relationship formula between vehicle weight and the amount of pressure when running at a constant speed.

Control through artificial neural networks of direct current motor

The main objective of this work is to present the methodology to control the speed of a DC motor experimentally through artificial neural networks of the NARX type (Nonlinear Autoregressive Neural Network with exogenous inputs). To achieve this, the artificial neural network was trained (ANN) on the Matlab platform, the speed of the motor was controlled in real-time with the LabVIEW software and a CompactRio data acquisition system, and it was possible for the speed of the motor to follow a constant reference, obtaining a steady state error less than 3 %.

Systems to Monitor the Individual Feeding and Drinking Behaviors of Growing Pigs Based on Machine Vision

Feeding and drinking behaviors are important in pig breeding. Although many methods have been developed to monitor them, most are too expensive for pig research, and some vision-based methods have not been integrated into equipment or systems. In this study, two systems were designed to monitor pigs’ feeding and drinking behaviors, which could reduce the impact of the image background. Moreover, three convolutional neural network (CNN) algorithms, VGG19, Xception, and MobileNetV2, were used to build recognition models for feeding and drinking behaviors. The models trained by MobileNetV2 had the best performance, with the recall rate higher than 97% in recognizing pigs, and low mean square error (RMSE) and mean absolute error (MAE) in estimating feeding (RMSE = 0.58 s, MAE = 0.21 s) and drinking durations (RMSE = 0.60 s, MAE = 0.12 s). In addition, the two best models trained by MobileNetV2 were combined with the LabVIEW software development platform, and a new software to monitor the feeding and drinking behaviors of pigs was built that can automatically recognize pigs and estimate their feeding and drinking durations. The system designed in this study can be applied to behavioral recognition in pig production.

Model design of automatic defective product sorting system

In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products. By using image processing to detect the matching of captured images with the storage based sample, the system ensures products with different colours are correctly delivered to the designated box. In this study the detection of three types of products were tested by image processing provided by LabVIEW software. They are the cube face with full of red panels, the cube face with 3 of 4 red panels and the others. The test results of the system achieved approximately an accuracy of 96% under stable lighting conditions.

Model design of automatic defective product sorting system

In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products. By using image processing to detect the matching of captured images with the storage based sample, the system ensures products with different colours are correctly delivered to the designated box. In this study the detection of three types of products were tested by image processing provided by LabVIEW software. They are the cube face with full of red panels, the cube face with 3 of 4 red panels and the others. The test results of the system achieved approximately an accuracy of 96% under stable lighting conditions.

Model design of automatic defective product sorting system

In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products. By using image processing to detect the matching of captured images with the storage based sample, the system ensures products with different colours are correctly delivered to the designated box. In this study the detection of three types of products were tested by image processing provided by LabVIEW software. They are the cube face with full of red panels, the cube face with 3 of 4 red panels and the others. The test results of the system achieved approximately an accuracy of 96% under stable lighting conditions.

Influence of misalignment of connection of electrical machine shafts on the nature of electric power of the induction motor

Purpose. To identify the vibration power components caused by misalignment of electrical machine shafts in the instantaneous power of the induction motor. Methodology. The power components of the induction motor are analytically determined taking into account the power caused by torque vibrations on the shaft. Based on this, using the methods of mathematical modelling in the visual programming environment, the known model of a three-phase induction motor with a short-circuited rotor has been made. In addition, elements and connections are introduced which realize the formation of the moment caused by the imbalance of rotating masses. Using Fourier transform of the electric power of the induction motor, we determine its discrete spectrum. Experimental research is conducted on the electric power of the induction motor with a short-circuited rotor, in similar model conditions, on laboratory equipment. With the use of a virtual device synthesized in the LabVIEW package, the wavelet analysis of stator electric power of the motor of laboratory electrotechnical complex is performed. Findings. Differential equations of the induction motor with a short-circuited rotor in abc coordinate system are obtained, which reflect the distribution of instantaneous power in the machine taking into account the vibration moment. As a result of modelling according to the specified equations of the induction machine, in the conditions of full symmetry of parameters of the scheme and the mode with eccentricity of rotating masses, low-frequency vibrations of electric power of a stator with frequency of 25 Hz have been found. Similar results were obtained as a result of wavelet analysis of the electric power of an induction motor of a laboratory electrotechnical complex. Originality. Rationality of use of instantaneous electrical power of induction motor stator for detection of vibration caused by misalignment between its shaft and the shaft of another machine has been substantiated, which allows detecting vibration without complex methods of measuring vibration displacement and its derivatives. Practical value. Detecting vibration by measuring the electrical parameters of the stator circuit of the induction motor and determining the vibrations of its instantaneous power without the use of specialized equipment significantly simplify the procedure of vibration diagnostics at its early stages.

Speech Recognition Robot using Endpoint Detection Algorithm

Controlling the machines and environment with speech makes human life easier and comfortable. In this direction a robot has been designed which can easily be controlled through the speech commands given by an authorised person. This work consists of two phases: Speech recognition and Robot control. Voice commands are given as an input, which is processed using the LabVIEW software. Speech processing is done using two algorithms: Endpoint detection algorithm and Silence removal algorithm. These algorithms differentiate the voice signal from the background noise, detect the word boundary and extract only the voiced part of the input signal and removing the background noise associated with it. The extracted voice command signal is then matched with the stored templates and on match, the code corresponding to a particular movement of robot is encoded and then transmitted to the robot controlling module via RF transmitter. RF receiver in robot controlling module receives the transmitted signal, which is decoded and applied as an input to microcontroller. The microcontroller interprets the code and initiates the robot movement depending on the command given. By giving proper command, robot can be made to stop, move forward, backward, turn left, turn right etc., This robot can be deployed in hazardous environment and can be controlled by an authorised person. It may also assist disabled people to carry out their daily work with ease.

Development of Supervisory Control and Data Acquisition System for India’s First High Temperature Superconducting Cable Testing

High Temperature Superconductor (HTS) based power cable is a technological marvel which can transmit bulk power over large distances without any joule heating as compared to a conventional copper cable, owing to its zero DC resistance in superconducting state. However, to maintain this superconducting state, the cable must be at a temperature below its critical temperature under self-field. Commonly used HTS material includes BSCCO (Tc = 110 K) and YBCO (Tc = 93 K) and thus, requires cryogenic liquid nitrogen (77 K) for attaining superconductivity. Further, the voltage drops across the various joints such as joint box and current leads in the termination unit must be monitored to ensure optimal operation of the cable. This demands for sophisticated instrumentation operating under extreme low cryogenic temperatures for safe operation, performance monitoring, cryogenic measurements, and control of the HTS power cable cryogenic process. This paper presents the instrumentation scheme followed for testing India’s first 6-meter HTS power cable. The instrumentation scheme involves housing of the various temperature sensors and location of voltage tapping, current measurement, cryogen flow measurements, operation of control valves, operation and measurement of high vacuum system, stray field measurement, insulation resistance measurement and dielectric measurements for cable are the important parameters for the successful operation of HTS power cable. To perform data logging NI-DAQ and LabVIEW software was used to develop in-house Supervisory Control and Data Acquisition (SCADA) system. This paper discusses intrinsic aspects of complete instrumentation and developed SCADA system for HTS power cable.

Active noise control for global broadband noise attenuation in a cylindrical cavity using Modal FxLMS algorithm

Noise reduction is very important for cavities such as long ventilation ducts, and train and airplane cabins. This paper seeks to develop, design, and implement an active noise control system to globally reduce narrowband and broadband acoustic noises inside a cylindrical cavity using the Modal FxLMS algorithm along with canceling the feedback effect of the actuator on the reference microphone. In addition, the efficiency of the proposed algorithm is compared to the conventional FxLMS algorithm for broadband noises in terms of acoustic potential energy and energy consumption of the actuators. To this end, the natural frequencies and mode shapes are derived using experimental methods and finite element simulation, and the results are compared. The modal data are used to design and implement a modal filter. The filter output is fed to the Modal FxLMS algorithm as the error signal for updating controller coefficients. Due to the presence of a reference microphone for the proposed algorithm and the effect of the control loudspeaker, it is required to remove the feedback effect. An experimental setup is developed, and an FPGA board and LabVIEW software are adopted to implement and verify the effectiveness of the proposed algorithm. The results indicate that the controller could effectively attenuate the narrowband and broadband acoustic noises globally. Furthermore, although the conventional FxLMS algorithm can suppress the noise around acoustic modes, it produces a larger control signal than the Modal FxLMS algorithm and consumes more energy.

Study on the determination of variable characteristics of axial piston pumps

Because the variable characteristics of axial piston variable pump can be applied to different working conditions, this paper simulates the actual working conditions of axial piston pump in excavator, theoretically analyzes its variable working principle, and focuses on how to adjust the difference between pump outlet pressure and load sensitive port pressure stably. Finally, an axial piston pump variable characteristic test system is built based on LabVIEW software, and a field verification test is conducted, and an effective and reasonable test scheme is selected through analysis and comparison, which provides a certain engineering reference value for the variable characteristic test of axial piston pump.

Design and experimental set-up of hydrogen based microgrid: characterization of components and control system development

In this study, the implementation of a hydrogen microgrid is investigated, considering the integration of H 2 production, storage, and energy conversion to feed a typical end-user. A remote control system has been realized through LabVIEW software, allowing to monitor real-time all the devices and analyze their performances. The integrated system is composed of a PEM electrolyzer (325 W), a storage system based on metal hydrides (two tanks, 54 g of hydrogen each, 1.08 wt%) and an energy converter (PEM Fuel Cell stack, 200 W). A programmable electronic load was used to set a power demand throughout the year, simulating an end-user. Data collected from each component of the micro-grid were used to characterize the energetic performance of the devices, focusing on the H 2 production via electrolyzer, charging cycles of the H 2 storage system, and energy conversion efficiency of the FC stack. Finally, the global efficiency of the microgrid is computed. Even though the system is realized in laboratory scale, this circumstance will not invalidate the significance of the configuration due to modularity of all the technologies that can be easily scaled up to realistic scales.

Real-time implementation of an enhanced proportional-integral-derivative controller based on sparrow search algorithm for micro-robotics system

This paper presents a new approach to control the position of the microrobotics system with a proportional-integral-derivative (PID) controller. By using sparrow search algorithm (SSA), the optimal PID controller indicators were obtained by applying a new objective function namely, integral square time multiplied square error (ISTES). The effeciency of the proposed SSAbased controller was verified by comparisons made with grey wolf optimization (GWO) algorithm-based controllers in terms of time. Each control technique will be applied to the identified model using MATLAB Simulink and the experimental test facility was conducted using LabVIEW software. The simulation and experimental results show that the performance of SSA-PID controller based on ISTES cost function achieves the best performance among various techniques. Moreover, the SSA technique had the highest performance compared to GWO technique based on rising and setting time and many other performance measurements. Thus, it is recommended to apply SSA for tuning the parameters of PID as it can enhance its performance in micro-robotic systems. It was found that the amount of error is reduced by 50% using SSA than other former experiments.

High-precision thermostat for light scattering experiments of critical samples

Abstract The characteristics of PID controllers lead to their widespread adoption and strong demand in temperature control systems since the experimental stability of temperature is required for many applied and research endeavours. The design and manufacture of both the thermal and electronic components of the milli-kelvin metallic thermostat, as well as the light scattering experimental set-up for the liquid mixture critical point research, are presented in this publication. The thermostat was tuned over a wide temperature range of 30–106°C, and short-term stability, long-term stability, and transient responses were studied in detail. The findings demonstrate that the thermostat provides accurate and steady temperature stability. The light scattering experimental setup was arranged and a LabVIEW software program was developed for data acquisition of the intensity of the incident beam, scattered beam, transmitted beam, and the temperature of the liquid mixture simultaneously.