Developing the Test Bench Software for the Technical Inspection of Volumetric Hydraulic Drives

Introduction. The article describes the test bench specialized software, developed for technical inspection of domestic and foreign volumetric hydraulic drives in repair enterprises and service centers. The results of bench tests using a hydraulic bench and software are presented. Materials and Methods For the application software development, G graphical programming language of the Laboratory Virtual Instrumentation Engineering Workbench (Lab- View) programming environment developed by the National Instruments Company has been used. The reliability of the results obtained has been confirmed by a series of bench tests of domestic and foreign volumetric hydraulic drives. Results. There has been developed and implemented new test bench software for the technical inspection of hydraulic drives of different models from domestic and foreign manufacturers in repair plants and service centers. The software is used to capture, process and store data from the sensors during testing, to calculate and output measurement data, to conduct nonlaboratory analysis of the testing process in graphical, textual and video formats, to calibrate sensors, and to store the test results in the electronic library system. The specialized software runs under the Microsoft Windows 7 x86 (32-bit) operating system and is installed on a personal computer of the hydraulic bench data processing unit. The developed software is characterized by the ergonomics of the user interface, the ability to control all the parameters of diagnosing the tested volumetric hydraulic drives. Discussion and Conclusion. Specialized software and the test bench permit high accurate monitoring of all technical condition parameters of the most common domestic and foreign volumetric hydraulic drives in accordance with the requirements of the manufacturers in the repair enterprises and service centers.

Software Platform for the Assisted Research of the Kinematics and Dynamics of Industrial Robots

The paper presents a software platform made with LabVIEWTM for the assisted research of the kinematic and dynamic behavior of industrial robots. The platform comprises a series of virtual instrumentation LabVIEWTM programs (subVI-s) with: the input data modules in the form of several clusters with the parameters of the trapezoidal velocity characteristics of each joint, the axes of movement and the type of each joints, the dimensions of each body, the graph associated to the robot’s structure, the incidence matrices bodies - joints and joints- bodies, as well as the control buttons for movement up or down with or without object in the end- effecter, some modules with 2D characteristics of positions, velocities, accelerations, forces and moments in each joints and also the 3D characteristics of them. The research of the current stage shows that such a complex platform like this was not realized, the current research being limited to the animation of motion trajectories, determining the characteristics of positions, velocities, accelerations, forces and moments without the possibility of changing all motion parameters and robot’s dimensions and without show how these parameters change the behavior. The paper studies the case of an articulated arm type robot, but the platform can be used for any type of robot with four degrees of freedom (DOF).

Metode Improved Gaussian Sampling pada Algoritma Rapidly Exploring Random Tree*

Penelitian ini bertujuan merancang metode improved gaussian sampling dan mengimplementasikan pada algoritma Rapidly Exploring Random Tree* (RRT*). Perancangan yang dilakukan menggunakan bahasa pemograman Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW). Improved gaussian sampling merupakan pengembangan dari metode gaussian sampling dengan menambahkan jumlah sampling. Jumlah sampling yang digunakan pada metode ini yaitu sejumlah 10 sampling. Untuk mengukur performansi dari metode sampling yang diusulkan, maka kami melakukan perbandingan performansi metode improved gaussian sampling, gaussian sampling dan random sampling. Berdasarkan hasil pengujian improved gaussian sampling didapatkan rata-rata nilai path cost dan waktu komputasi senilai: clutter sepanjang 8,89 dengan waktu 40,05; narrow sepanjang 12,58 dengan waktu 40,03 dan trap sepanjang 9,93 dengan waktu 40,04. Sedangkan hasil pengujian gaussian sampling didapatkan: clutter sepanjang 10 dengan waktu 40,09; narrow sepanjang 13,53 dengan waktu 40,03 dan trap sepanjang 10,95 dengan waktu 40,12. Hasil pengujian random sampling didapatkan: clutter sepanjang 10,86 dengan waktu 0,03; narrow sepanjang 14,82 dengan waktu 0,25 dan trap sepanjang 11,71 dengan waktu 0,21. Disimpulkan bahwa pada algoritma RRT* dengan menggunakan metode improved gaussian sampling menghasilkan performansi yang lebih baik dibandingkan algoritma RRT* yang menggunakan metode sampling lainnya. Hasil perbandingan pengukuran berdasarkan nilai sampling didapatkan rata-rata nilai path cost rata-rata 10,12 dengan jumlah sampling hanya 1 dan nilai path cost terpendek 8,9 dengan jumlah sampling 10. Berdasarkan pengukuran tersebut didapatkan semakin banyak jumlah sampling yang diberikan maka nilai path cost yang dihasilkan optimal.

Automatic Alcohol Detection System

In pretty much every industry and field, innovation keeps on disturbing old frameworks and opening up new pathways. Not more so than in the field of law enforcement, where analysts, designers, and tech virtuosos are chipping away at further developed apparatuses not exclusively to uphold DUI, yet additionally to forestall it. Maybe the most encouraging of these drives is the Alcohol Safety Detection System, fostering an innovation that will consequently keep an intoxicated driver from driving an engine vehicle, an attempt will be made to fabricate a locking mechanism for vehicles so it would not begin without an Alcohol detection system. This paper portrays a driver alcohol concentration detection framework dependent on breath testing, created utilizing a microcontroller Compatible Compiler, that permits the program of microcontroller boards. The framework can gauge the liquor from the breath test and control the activity of the vehicle start framework to forestall smashed driving. Additionally, the utilization of virtual instrumentation gives high adaptability, in contrast to traditional methods. Drunken driving has become a significant problem in present-day culture. It is a typical reason for vehicle crashes including human mistakes. This venture focused on developing a system to prevent, in anticipation of making everyday traffic safe. Keywords: Alcohol safety detection system, MQ3 sensor, Arduino UNO.

Development of a Didactic Educational Tool for Learning Fuzzy Control Systems

This paper presents the development of a virtual didactic tool for students of mechatronic engineering taking an intelligent system course. The objective of the tool is for students to learn the structures for fuzzy control systems. This tool makes it easier for students to understand the behavior of the membership functions of input and output variables, the evaluation of the set of fuzzy rules, and the method of defuzzification, giving the students the possibility of applying a fuzzy controller in industrial processes using a data acquisition board. The proposed tool was developed with the virtual instrumentation software LabVIEW. It has the advantage that students can manipulate the internal structure of the fuzzy logic control system in a unique window where students can analyze the behavior of internal signals by looking at the response graphs. The fuzzy controller can be easily translated to a real application by using LabVIEW compatible hardware. To have feedback from students on the use of the tool and to understand if this tool allows an improvement in their academic performance, a 2-hour workshop on the proposed application was given to a group of 93 students. At the end of the workshop, a knowledge assessment and a perception survey were applied to the participants. The academic performance achieved by students who were given the workshop using the proposed teaching tool was compared with the academic performance of students who witnessed the workshop using Matlab tools. The statistical analysis of the results obtained for the knowledge assessment shows that the students that had taken the workshop using the proposed teaching tool had better compression of the topic compared to the students that had taken the workshop using the Fuzzy Logic Toolbox provided by Matlab MathWorks. The students that had taken the workshop using the proposed teaching tool obtained a mean grade of 89.63/100, while students that had taken the workshop using Matlab’s tools obtained a mean grade of 69.85/100. Also, the students’ perception of the proposed tool was that it allowed the design of fuzzy control systems in a simple and intuitive way.

Power Quality Monitoring using Virtual Instrumentation & LABVIEW

This Paper principally portrays that a Power Quality Monitoring system utilizing LabVIEW is created. Because of the higher utilization of power converters and other nonlinear burdens in industry and by customers all in all, it very well may be noticed an expanding crumbling of the power frameworks voltage and current waveforms [1]. The paper ‘Power Quality Monitoring using Virtual Instrumentation and LABVIEW’ basically depicts the monitoring of the quality of the power generated during the process with the help of a virtual environment that is LABVIEW. Now this paper is very much simple and is based on finding the power factor along with Active, Reactive and Apparent Power. In additional to that Active/Apparent and Reactive Energies is also found out and the nature of the graph is also found out accordingly. Here we are using Current and Voltage Transformers as the basic transducers and ideal values of voltage and current is taken and the graph is plotted with respect to voltage/current and the power/energies. The nature of both the graphs is quite different in case of power it is linearly increasing with the time, whereas in case of the energies the graph is linear in nature. Also the error and accuracy is found out with a fluke data which is based on the values of fluke instruments.

Water Level Detection System based on Arduino and LabVIEW for Flood Monitors using Virtual Instrumentation

This virtual instrumentation system based on Arduino and LabVIEW aims to detect the water level using a water level sensor. The water level sensor used to measure the water level is the Funduino type. This sensor and the buzzer module are connected to the Arduino Uno to transmit data to LabVIEW. When the water has reached a certain height, this sensor will detect the water level. When the water has reached the set point, this sensor will sound a buzzer as a sign that the water is full. Based on the experimental results, it is found that the tension value affects the volume of the experiment site. Where the greater the volume used will produce a large voltage, and vice versa. Furthermore, the graph results obtained that are still away from the linearity of a regression function with a value of y = 0.0079x + 1.8561 and R² = 0.4298.