Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет

Постоянный URI для этого сообществаhttps://cris.qyzpu.kz/handle/123456789/1

Просмотр

Результаты поиска

Показано: 1 - 10 из 17

Некоторые метрики заблокированы вашими
настройками согласия
Development of an IoT System for Monitoring the Operation of a Biogas Plant
(2025-07-04)
Omirlan Auelbekov
;
Айнур Козбакова
;
Kuanyshbek Igibayev
;
Kairat Yessentayev
It is well known that the quality of biogas directly affects its energy value and efficiency of use in power plants, as well as determines the profitability of production. However, it can be difficult to identify deviations in the quality of biogas at early stages, especially in industrial conditions, as this requires in-depth knowledge of the physico-chemical characteristics of the gas. As part of this project, an intelligent biogas quality management system was developed using Internet of Things technologies designed to monitor key parameters such as temperature, methane levels and gas humidity. The ESP32 microcontroller, programmed in C, was used as the control module, which collected data from sensors and transferred them to cloud storage. A web application has also been created that provides the user with the ability to remotely monitor and control the system in real time from any device connected to the Internet. Notifications and alarms could be transmitted via WhatsApp messenger. The system has demonstrated high efficiency in increasing the stability and productivity of biogas production.
Цитирования (OpenAlex) 1
Некоторые метрики заблокированы вашими
настройками согласия
Mathematical Modeling to Optimize Sensor Performance for Enhanced Sensitivity and Measurement Accuracy in a Biogas Plant
(2026-01-13)
Omirlan Auelbekov
;
Айнур Козбакова
;
Kairat Yessentayev
;
Timur Merembayev
;
Kuanyshbek Igibayev
The paper states that biogas plants are of particular importance in the development of renewable energy sources, and their efficiency is largely determined by the accuracy and reliability of parameter measurements during the production process. Sensors that determine temperature, pressure, pH, humidity, methane (CH₄) and hydrogen sulfide (H₂S) concentrations, gas flow, and oxidation-reduction potential (ORP) form the basis of the monitoring system. However, during operation, they are affected by nonlinear dependence, noise, drift, and errors that reduce the reliability of measurements. To solve this problem, mathematical modeling and sensor optimization methods are proposed. The study proposes a mathematical model that describes the correlations between the physicochemical characteristics of the environment and the output signals of the sensors. Based on this model, an analysis of the sensitivity of the measurement channels was carried out, critical areas where accuracy is significantly reduced were identified, and methods for compensating for errors were proposed. To improve the reliability of the results, intelligent data processing was used, including artificial neural networks, which allow adaptive adjustment of output data and calibration in real-time monitoring mode. The proposed approach improves measurement accuracy and the stability of the sensor system to external influences, which is also of practical importance for monitoring and controlling biogas plants. A mathematical model was proposed that takes into account the physicochemical dependence on environmental parameters (temperature, pressure, pH, Ch₄ and H₂S concentrations, humidity, gas flow, and redox potential) and sensor response. Based on this, a sensitivity analysis of the measurements was performed to identify areas of maximum error. Intelligent data processing using artificial neural networks was used to compensate for systematic errors and sensor drifts, which allowed for real-time calibration and correction of sensor readings.
Некоторые метрики заблокированы вашими
настройками согласия
Determination of the Temperature Sensitivity Values of a Tilted Fiber Bragg Grating Built into the Internal Structure of a Composite Material for Building Structures
(Springer Nature, 2025-01-01)
Zhalau Aitkulov
;
Aliya Kalizhanova
;
Murat Kunelbayev
;
Айнур Козбакова
Некоторые метрики заблокированы вашими
настройками согласия
ПОСТРОЕНИЕ МОДЕЛИ БРЭГГОВСКОЙ СТРУКТУРЫ С ПЕРЕМЕННЫМИ ТЕХНОЛОГИЧЕСКИМИ ПАРАМЕТРАМИ
(Mukhametzhan Tynyshbayev ALT University, 2024-03-28)
Aliya Kalizhanova
;
Айнур Козбакова
;
Бахыт Ералиева
;
Murat Kunelbayev
;
Zhalau Aitkulov
Построение модели брэгговской структуры с переменными технологическими параметрами остаётся актуальной задачей в современной науке и инжиниринге. Моделирование брэгговских структур с переменными параметрами может помочь в разработке новых материалов с уникальными свойствами, которые могут быть применены в различных областях, от оптики до электроники. В работе представлены результаты численных расчетов, направленных на построение спектров волоконных брэгговских решеток с различными структурными параметрами. Также представлен метод, используемый для разработки математических моделей изучаемых структур. Для этого использовалась система уравнений, сопряженных модов, которая решалась численно с использованием метода матрицы перехода TMM (Transfer Matrix Method). Результаты моделирования брэгговских структур могут быть использованы в различных технологических инновациях, в создании новых типов оптических устройств или в области фотоники.
Некоторые метрики заблокированы вашими
настройками согласия
Assembling and testing optoelectronic system to record and process signals from fiber-optic sensors
(Institute of Advanced Engineering and Science (IAES), 2024-06-04)
Aliya Kalizhanova
;
Айнур Козбакова
;
Waldemar Wójcik
;
Murat Kunelbayev
;
Beibut Amirgaliyev
The given research presents assembling and testing optoelectronic system to record and process signals from fiber-optic sensors. The main optoelectronic systems to record and process the signals from fiber-optic sensors are light source controller and optical power detector. There was assembled controller diagram, which apart from light source includes current source for its adequate operation, as well as the systems necessary for stabilizing its working point. The scheme was modelled for specifying nominal and maximum operation criteria. Construction has been designed in the way, that light source controller includes structures of the current regulation and stabilization super luminescent diode (SLED) and temperature stabilization. Apart from that, there was assembled the microsystem of optical power detector additionally to the light detector, which includes the microsystems of intensification and filtration of the signal measured, processing analog data into digital form, microcontroller, used for preliminary data analysis. Data of optoelectronic systems diagram to record and process the signals from fiber-optic sensors has high response speed, low noise level and sufficient progress.
Некоторые метрики заблокированы вашими
настройками согласия
Sensor Systems for Measuring Force and Temperature with Fiber-Optic Bragg Gratings Embedded in Composite Materials
(Multidisciplinary Digital Publishing Institute, 2024-08-14)
Aliya Kalizhanova
;
Айнур Козбакова
;
Murat Kunelbayev
;
Zhalau Aitkulov
;
Анар Утегенова
Currently, there is a high interest in smart sensors and integrated composite materials in various industries such as construction, aviation, automobile, medical, information technology, communication, and manufacturing. Here, a new conceptual design for a force and temperature sensor system is developed by integrating fiber optic Bragg grating sensors embedded within composite materials, and a mathematical model is proposed that allows one to estimate strain and temperature based on signals obtained from optical Bragg gratings. This is important for understanding the behaviors of sensors under different conditions and for creating effective monitoring systems. Describing the strain gradient distribution, especially considering different materials with different values of Young's modulus, provides insight into how different materials respond to applied forces and temperature changes. The shape of the strain gradient distribution was obtained, which is a quadratic function with a maximum value of 1500 µ, with a maximum value at the center of the lattice and a symmetrically decreasing strain value with distance from the central part of the fiber Bragg grating. With axial strain at the installation site of the Bragg grating sensor under applied force values ranging from 10 to 11 N, the change in strain was linear. As a result of theoretical research, it was found that the developed system with fiber-optic sensors based on Bragg gratings embedded in composite materials is resistant to external influences and temperature changes.
Цитирования (OpenAlex) 7Цитирования (OpenCitations) 3
Некоторые метрики заблокированы вашими
настройками согласия
Design of a Fiber Temperature and Strain Sensor Model Using a Fiber Bragg Grating to Monitor Road Surface Conditions
(Multidisciplinary Digital Publishing Institute, 2024-09-13)
Гулжан Кашаганова
;
Айнур Козбакова
;
Timur Kartbayev
;
Күлжан Тогжанова
;
Жулдыз Алимсеитова
In this paper, the types and principles of operation of fiber sensors based on fiber Bragg gratings (FBGs) are investigated. The influence of strain and temperature on the characteristics of FBGs is considered, and a method for the simultaneous measurement of these parameters is presented. Laboratory studies were carried out in the temperature range from +18 °C to +135 °C with an incremental step of 5 °C, with the actual temperature not deviating by more than ±0.5 °C. From the data obtained, the Bragg wavelength–temperature relationships were plotted, which showed a linear increase in wavelength with increasing temperature. This study shows that the use of two FBGs with a different sensitivity to temperature and strain allowed for the simultaneous measurement of both parameters. Numerical models created in the MATLAB R2022b environment confirmed the high accuracy and precision of the measurements. The FBG-based sensors demonstrated a robust performance in harsh environments, withstanding temperatures of up to 160 °C and high humidity, making them applicable in various industries and sciences. This work confirms that FBGs are a promising tool for accurate temperature and strain measurements, providing reliable results in harsh environments.
Цитирования (OpenAlex) 9Цитирования (OpenCitations) 7
Некоторые метрики заблокированы вашими
настройками согласия
Experimental studies of sensors based on fiber Bragg gratings embedded in the internal structure of composite plates
(2024-10-04)
Aliya Kalizhanova
;
Айнур Козбакова
;
Murat Kunelbayev
;
Beibut Amirgaliyev
;
Zhalau Aitkulov
The main purpose of this article is to study the structural characteristics of carbon fiber samples printed on a 3D printer, including embedded sensors, during 3D printing, through numerical and experimental studies. There is a widespread tendency to replace metals with modern composite materials. Various methods can be used to measure the destruction of the composite structure. Fiber Bragg array sensors are known as intelligent localized and global structural condition prediction devices for all kinds of structural applications, especially those using composite materials. In this work, we created control plates by impregnating a selected number of layers of carbon fabric with epoxy resin. Fiber-optic Bragg sensors were additionally located between the layers of carbon fabric. In the course of experimental studies, a fiber Bragg grating sensor was embedded in the middle of the sample, and a second sensor was attached to the finished surface of the sample. We conducted environmental tests to examine the durability of the additively manufactured standard’s components and the impact of integrated sensors on the composite sample. We applied the concept of equations, known as conjugate modes, and used the transition matrix method to solve them numerically. The scientific novelty of the work is the development of a new method and technology for measuring spatial deformation in composite materials using fiber-optic Bragg gratings.
Цитирования (OpenAlex) 1
Некоторые метрики заблокированы вашими
настройками согласия
Integration of Mathematical Modeling and Artificial Intelligence to Predict Thermal Conditions and Optimize the Operation of Biogas Plants
(2025-01-01)
Omirlan Auelbekov
;
Айнур Козбакова
;
Kairat Yessentayev
;
Timur Merembayev
;
Kuanyshbek Igibayev
Modern biogas plants face a number of challenges related to precise control of thermal conditions, which significantly affect the stability of processes and the overall efficiency of energy production.The complexity lies in the nonlinear and dynamic nature of biochemical reactions occurring under anaerobic conditions, as well as in a large number of factors affecting heat transfer inside the reactor.In this regard, there is a need to develop adaptive and highly accurate models capable of predicting thermal processes and optimizing the operation of biogas systems.In this study, we propose a hybrid modeling framework that integrates physics-based mathematical models with machine learning algorithms, enabling real-time prediction and adaptive control of thermal processes.Unlike prior models focused solely on thermodynamics or empirical
Некоторые метрики заблокированы вашими
настройками согласия
Researching and determination of the strain sensitivity of the fabricated Bragg gratings
(2025-02-18)
Aliya Kalizhanova
;
Айнур Козбакова
;
Murat Kunelbayev
;
Zhalau Aitkulov
;
Ulghan Imanbekova
This article presents a systematic study of the stretching characteristics of polymer fiber Bragg gratings. Experimental data demonstrate that applying mechanical stretching to polymer fiber Bragg gratings enables a wide tuning range of the Bragg wavelength (over 50 nm) with high reproducibility, reversibility, and repeatability. It was also established that the strain sensitivity of polymer fiber Bragg gratings is 1.46 pm/με, which significantly exceeds the strain sensitivity of silica fiber Bragg gratings. Additionally, it is shown that the relationship between strain and the Bragg wavelength shift exhibits high linearity (correlation coefficient R² = 0.9995), ensuring the reliability of the gratings under mechanical loads. The study confirms the potential of polymer fiber Bragg gratings for use in WDM optical communication systems, fiber optic strain sensors, and medical sensors.

Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет

Просмотр

Фильтры

Настройки

Сортировать по

результатов на странице

Результаты поиска

QyzPU CRIS

Университет

Данные