I write plc programs and know nothing about labview.A virtual instrumentation (VI) system called VI localized corrosion image analyzer (LCIA) based on LabVIEW 2010 was developed allowing rapid automatic and subjective error-free determination of the pits number on large sized corroded specimens. Automation direct has it's own language and every maker has it's own and none work with another. There are many languages micrologix, for certain allen bradley plc's. Ladder logic is not a program it is the method of thought for the language.
![]() Labview 2013 System Requirements Serial Port MethodThe authors reported excellent analytical characteristics of the developed LabVIEW-based software system to be achieved: the precision of the determination was 0.7% measured by the relative standard deviation for five replicate measurements of morphine standard, and the limit of detection was determined to be as low as M. The detection is based on chemiluminescence reaction with acidic potassium permanganate in the presence of sodium polyphosphate. Developed a LabVIEW-based software for the automation of a sequential injection analysis instrument for the determination of morphine. By selecting hardware modules, such as the PCI-DAQ card or serial port method, and the software modules, different kinds of sensors can be used for creating different chemical instruments allowing extremely flexible solutions for automatic measurements in the physical chemistry research.Requirements management tools and techniques d. The analytical characteristics of the developed LabVIEW-based system are reported to be as follows: a detection limit of 21 pM at linear range of 21–2000 pM with a 60-second sample load time and average precision between replicate FI peaks of ( ) over the linear range.c. The optimized system is capable of 20 injections per hour, including preconcentration and wash steps. The software allows full control of all flow injection components and the processing of the data from PMT. The instrument incorporates a miniature, low-power photomultiplier tube (PMT), and a number of electric and solenoid actuated microvalves and peristaltic pumps.According to this standard, the number of the appearing pits is the measure of the corrosion resistance of the protective coating. For example, the quality control of the conversion coating on aluminum alloys requires the determination of the pits number appearing on the 3 × 10 inches control specimens after their testing in saline chamber at extreme conditions: high temperature, high relative humidity, and high saline concentration, according to the standard ASTM B117. Developing team standards and guidelines for projectThe flexibility of the VIs allows their application practically in any branch of the chemical technology. LabVIEW project organization a. LabVIEW tools for estimating software development 5. Software size and effort estimation methods, tools and techniques b. Desmume emulator apkIts hardware and software are presented together with some application for pit recognition on real metal samples.The specimen optical scan performed by a digital microscope connected to a PC yields a database file (a map file) containing the coordinates of all the surface defects similar to pits, not only the ones caused by corrosion. A VI fulfilling all these requirements using a particle analysis based on blobs analysis included in IMAQ libraries for LabVIEW 2010 called localized corrosion image analyzer (LCIA) was developed and described in the present paper. SDI effectively acts as a bridge between the LabVIEW SoftMotion.Such a VI must determine the pit centers coordinates, pit areas, their traverse lengths, and the densities using blobs analysis resulting in a map file which can be used further by a SVET system to perform a rapid (one pass) “true/false” check of the probable pit containing zones only, without scanning of the entire specimen. 4.1 Inserting a controller into a LabVIEW project. Thus, the purpose of the present work is to develop such a VI and to test it on real specimens for express and objective pits counting.1.1 Hardware Requirements. That is why a rapid and subjective error-free method for pits counting is necessary. The simple linear SVET scan will result in a specific and easy recognizable peaks contained curve in coordinates: current intensity/coordinate.The scanning vibrating electrode technique (SVET) which was developed for biological applications was adapted later by Isaacs for corrosion studies of pitting, intergranular, and galvanic corrosion. The true/false test is a rapid single linear SVET scan over the centers of the probable zones in which coordinates are saved in the created by the VI LCIA map file. The created map must be actualized by “true/false” SVET test application allowing the distinction of the true corroded (pit containing) zones from the “corroded-like” ones to be used further from a SVET system for corrosion rate determination. The VI performing the video inspection and the creation of the map file only is the subject of the present work, while the SVET VI is the subject of another publication. The LabVIEW-based VI subject of the present paper employs the first main point of the approach developed by the authors based on the following two main points: (i) computer vision application for video inspection by digital microscope of the surface of interest and database (map file) creation of the probable pits containing areas (ii) rapid “true/false” test by single linear SVET scan for real pits distinction followed by a map file actualization.Additionally, a complete SVET scanning of the recognized real pits areas can be performed if the corrosion rate determination is necessary. For example, the minimal voltage drops levels measurable by SRET are about 200 μV , while 5 μV can be achieved by SVET. Signal measurement allowing obtaining a higher signal to noise ( S/ N) ratio due to the better noise suppression. SVET is a further development of the scanning reference electrode technique (SRET) but provides higher sensitivity due to a.c. The vibrating electrode was mounted on X- Y linear stages mechanism providing 5 μm/step resolution. The white balance was carried out automatically employing the integrated 6 white LED light ring around the lenses.The homemade SVET device which uses the map file produced by the VI subject of the present work consists of a vibrating electrode with edge diameter of approximately 1 μm, 100 mV p-p, and frequency of the vibration of 60 Hz at amplitude of the displacement adjustable in the range between 1 and 100 μm over the specimen surface. The focus adjusting mechanism ( Y stage, Figure 1) was driven by a stepper motor controlled by the LCIA which controls also the real time image capturing and its transfer through the USB interface.
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