Abstract
Among all types of mechanical influences, vibration is the most dangerous for technical objects. Alternating stresses caused by vibration contribute to the accumulation of damage in materials, system design, and failure. The destruction of the object occurs quite quickly under vibrational influences under the conditions of resonance, at the same time, vibration causes a violation of the physiological and functional states of a person. The impact of vibration on a person depends on its spectral composition, direction of action, duration of exposure, as well as on the individual characteristics of the person. The structure of the vibration acceleration spectrum monitoring system was developed, which is based on the modular principle and includes a microcontroller, an accelerometer, a liquid crystal graphic color display, flash memory, and a microcomputer monitor. Algorithms of the vibration acceleration spectrum monitoring system were developed, including the accelerometer calibration algorithm, the dynamic acceleration measurement algorithm, and the fast Fourier transformation algorithm. The I2C interface for data exchange between the ADXL345 accelerometer and the Raspberry Pi 3 Model B microcomputer is defined. The software that processes the input information from several accelerometers connected to the Raspberry Pi, which enables multi-channel measurements and their analysis, is developed. The results of testing the built system are given which make it possible to assert the correctness and correctness of the functioning of the developed system. The article includes an introduction, an analysis of literary sources with a statement of the researched problem, in the section “Development of the structure and information support of the system for monitoring the spectrum of vibration accelerations” the developed structure of the system and the features of its hardware implementation are given. The hardware implementation was based on the use of inexpensive components to ensure a low price of the technological solution. In addition, in this section, I2C is selected for the implementation of data exchange between the components of the vibration spectrum monitoring system. The section “Algorithmic support of the designed system” describes the main steps of the algorithm. The section “Development of the vibration acceleration monitoring system software” includes information about the developed structure of the software and a brief description of a specific component. The results of testing the developed system are given in the section “Obtained results and their analysis”. The main results of the conducted research are formulated in the conclusions.
Publisher
Lviv Polytechnic National University
Reference31 articles.
1. [1] Сєріков, Я. О., Таланін, Д. С., & Сєріков, С. Я. (2013). Інформаційні технології у вирішенні завдань забезпечення безпеки життєдіяльності людини, ергономіки, охорони праці і навколишнього середовища : монографія: у 2-х ч.
2. [2] Системи моніторингу і контролю вібрацій http://www.omative.com/КонтрольВибрации.html
3. [3] https://repo.knmu.edu.ua/bitstream/
4. [4] Iwaniec, M., Holovatyy, A., Teslyuk, V., Lobur, M., Kolesnyk, K., & Mashevska, M. (2017). Development of vibration spectrum analyzer using the Raspberry Pi microcomputer and 3-axis digital MEMS accelerometer ADXL345. In 2017 XIIIth International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH). (pp. 25-29). IEEE. https://doi.org/10.1109/MEMSTECH.2017.7937525
5. [5] Hjort, A., & Holmberg, M. (2015). Measuring Mechanical Vibrations using Arduino as a slave I/O to an EPICS Control System.