Diseño y construcción de un sistema de medición de color de aceite de motor para vehículos.

Abstract

Carrying out measurements is of the utmost importance since this allows obtaining unknown data, having as a reference a known data, the unknown data being an inherent characteristic of the object, substance or physical phenomenon that is to be measured. In everyday life, measurements are made on a regular basis, for example when we determine the speed at which we travel in a vehicle, the ambient temperature or body temperature, but these measurements can be subjective or objective depending on how we perform them, it is subjective If we only rely on our experience or our perception and for this reason the measurement varies depending on the subject, this is why the ideal is always to have an objective reading that allows us to make more accurate decisions. Often one of the factors subject to review is the color of the oil, for this reason a visual inspection of the color of the engine oil is performed as an indicator of the health of the engine, but it is a subjective visual assessment since it is only performed Based on the perception of the person who performs the inspection due to the increase in mileage since the last change, currently the possibility of determining the color of motor oil is by sending a sample to a specialized laboratory, which represents a high cost and a formality. associated that can be detrimental in terms of time. Due to this, it is decided to provide a solution by designing and building a system that provides objective readings of the color of motor oil, through the use of artificial vision and image processing. For this, a theoretical contextualization of some of the most used existing color spaces will be found, and their associated library in Python (OpenCV). Subsequently, the procedure used in the creation of the device will be shown under two important aspects: software and hardware. In the creation of the software, use is made of libraries that allow the extraction of color coordinates, handling of vectors, mathematical operations, among others. The graphical user interface (GUI) that allows to control the device will be shown and finally, the tests that were carried out on the system will be shown from a number of measurements that were analyzed to observe the variability of the system from repeatability conditions. and reproducibility provided by the hardware, which will show its design and the importance of some considerations such as lighting and size. It is convenient to clarify that the entire operation of the system was developed in the Python programming language since it is free software, and the data analysis through the use of Excel spreadsheets in formats created according to the required purpose.