The theoretical aspects of a new type of piezo-resistive pressure sensors for environments with rapidly changing temperatures are presented. The idea is that the sensor has two identical diaphragms which have different coefficients of linear thermal expansion. Therefore, when measuring pressure in environments with variable temperature, the diaphragms will have different deflection. This difference can be used to make appropriate correction of the sensor output signal and, thus, to increase accuracy of measurement. Since physical principles of sensors operation enable fast correction of the output signal, the sensor can be used in environments with rapidly changing temperature, which is its essential advantage. The paper presents practical implementation of the proposed theoretical aspects and the results of testing the developed sensor.
Nowadays, industrial development creates new and more complex processes leading to emergence of specific conditions for use of sensors and therefore specific measurement tasks. These circumstances lead to new requirements both for the methods of measurement and for sensors that implement these methods. Developments in microelectronic technologies and materials science have led to a significant number of types of pressure sensors. However, in recent years, despite the growing number of sensors range, it is in high-tech industries that the need for pressure sensors with fundamentally new features and characteristics has increased dramatically. This is caused by the need to rapidly measure unsteady pressure in real time, with a normalized error mostly within the static one. Taking this into account, the features of non-stationary pressure measurement in real time are analyzed in this paper and the necessary and sufficient requirements for sensors that allow their effective use are outlined. Thus, the goal of this work is the analysis of the process of measuring the non-stationary pressure in real time, aimed at identifying the peculiarities of the measurement problem and development of ways of its solution.Keywords: peculiarities; measurement; unsteady; pressure; real time; sensor. Main features of the measurement task and peculiarities of the primary measuring transducerIn today's high-tech systems (automotive, test benches for testing complex aerospace products, liquid rocket engines control systems, research, etc.) [1][2][3][4][5][6], in the measurement of pressure we only know its upper and lower limits while the nature of the measured value in time is mostly unstructured and unpredictable. That is, within one measurement pressure can be impulsive (shock pressure), and without sudden changes (smooth) -with constant or variable frequency, moreover, static areas can exist. At the same time these time features can alternate freely and at significantly different amplitudes.In general, by the nature of non-stationary process, measured pressure can be divided into the following groups: considerably non-stationary pressure as a combination of shock and poly-harmonic pressure with the quasistatic pressure areas (it is the hardest dynamic mode); non-stationary pressure of shock nature; non-stationary pressure of harmonic or poly-harmonic nature.The practice of designing piezoresistive pressure sensors is such that the sensor is a transducer chain, the first of which are mechanical transducers, elastic elements. Therefore, physics of primary measured transformation in dynamics is mechanical vibrations of elastic elements. So, speaking of eigenfrequency sensor, we mean the vibrations frequency of the chain of elastic mechanical transducers. For many types of sensors this is the frequency of natural oscillations of the membrane or membrane system secondary beam. Therefore, in case of piezoresistive sensors these are the features of elastic mechanical transducers vibration processes that determine non-stationary ...
The article presents the usage of the SaaS cloud computing model in "intelligent house" systems for optimization of computation load between the client and server parts of the system. Also was developed artificial neural network model for detection of irrational electricity usage by devices of the "intellectual house". Streszczenie. W artykule przedstawiono zastosowanie modelu przetwarzania w chmurze SaaS w systemach "inteligentnego domu" dо optymalizacji obciążenia obliczeniowego między klientem a elementami serwerowymi systemu. Opracowano także model sztucznej sieci neuronowej, aby wykryć nieracjonalne zużycie energii elektrycznej przez urządzenia "inteligentnego domu". Wykorzystanie przetwarzania w chmurze SaaS w systemach "inteligentnego domu"
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