Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет

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

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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.
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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
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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
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Aliya Kalizhanova
;
Murat Kunelbayev
;
Айнур Козбакова
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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
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Researching and determination of the strain sensitivity of the fabricated Bragg gratings
(2025-02-18)
Aliya Kalizhanova
;
Айнур Козбакова
;
Murat Kunelbayev
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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.
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ИССЛЕДОВАНИЕ И ОПРЕДЕЛЕНИЕ ЧУВСТВИТЕЛЬНОСТИ К РАСТЯЖЕНИЮ ИЗГОТОВЛЕННЫХ БРЭГГОВСКИХ РЕШЕТОК
(Mukhametzhan Tynyshbayev ALT University, 2025-02-25)
Aliya Kalizhanova
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Айнур Козбакова
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Murat Kunelbayev
;
G.S. Nabiyeva
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Timur Kartbayev
В данной работе рассматривается методика измерения распределения деформаций в композитной пластине из углеродного волокна с использованием волоконно-оптических датчиков Брэгга. Представлен экспериментальный анализ влияния растяжения на центральную длину волны отраженного сигнала ВБР. Исследования проводились на композитных образцах с встроенными оптическими волокнами, размещенными на разных уровнях структуры. Полученные результаты подтверждают возможность использования ВБР для контроля деформаций и напряжений в композитных материалах. Представленные данные могут быть полезны при разработке интеллектуальных конструкций с встроенной системой мониторинга.
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Research on the Relative Displacement Distribution of a Composite Plate with Built-In FBG Sensors
(Multidisciplinary Digital Publishing Institute, 2025-04-22)
Aliya Kalizhanova
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Айнур Козбакова
;
Murat Kunelbayev
;
Timur Kartbayev
;
Гулжан Кашаганова
The paper studies the distribution of relative displacement of a composite plate with integrated fiber Bragg gratings. The analysis of the methods for manufacturing composite plates with embedded optical fibers containing FBG sensors, as well as the spectral characteristics of the gratings under various bending conditions, are performed. The effect of sensor arrangement on the accuracy of determining stresses and relative elongations of the material is experimentally studied. The features of spectral shifts that occur under non-uniform stresses are revealed, which can reduce the accuracy of measurements when using interrogators. The patterns of change in the central wavelength of Bragg gratings depending on the type and magnitude of plate bending are established. The research results confirm that the use of a network of embedded FBG sensors allows one to accurately determine the areas of maximum deformations, as well as the nature and magnitude of bending of composite structures. The data obtained can be used to develop more accurate systems for monitoring the stress–strain state of composite materials.
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АНАЛИЗ КАЧЕСТВА ВОЗДУХА В ГОРОДСКОЙ СРЕДЕ С УЧЕТОМ ВЛИЯНИЯ ЗЕЛЫХ НАСАЖДЕНИЙ И АРХИТЕКТУРНОЙ КОНФИГУРАЦИИ ЗДАНИЙ
(Mukhametzhan Tynyshbayev ALT University, 2025-08-03)
Перизат Омарова
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Айсулу Атаниязова
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Айнур Козбакова
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Дидар Едилхан
;
Гүлайым Баекова
Загрязнение атмосферы — одна из наиболее острых экологических проблем современности, которая становится всё более серьёзной в условиях стремительного роста урбанизации и интенсивности дорожного движения. Выбросы автотранспорта — один из основных источников загрязнения, наносящего вред здоровью человека, особенно детям и пожилым людям. В данной работе рассматривается влияние особенностей городской планировки, ветрового режима и элементов зелёной инфраструктуры на распределение загрязняющих веществ в уличных каньонах. Результаты исследования показывают, что элементы зелёной инфраструктуры, такие как деревья, растительные барьеры и зеленые крыши, значительно снижают концентрацию загрязняющих веществ и улучшают естественную вентиляцию. Для количественной оценки этих процессов была разработана математическая модель, основанная на усреднённой по времени версии уравнений Навье–Стокса и моделях турбулентности k–ε Standard и RNG. Расчет был реализован с использованием алгоритма PISO в программной среде ANSYS Fluent 2020 R1. Проверка модели на тестовом примере Салима и др. (2011) показала хорошее соответствие экспериментальным данным, что подтверждает валидность метода и его применимость для анализа распределения загрязнения в городской среде.
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ТҰРАҚТЫ ЖӘНЕ АУЫСПАЛЫ МАГНИТТЕРДІ ПАЙДАЛАНУ АРҚЫЛЫ МАЯТНИКТІ ИНЕРЦИЯЛЫҚ КОНУС ТӘРІЗДІ РОТОРЛЫ ГЕНЕРАТОРДЫҢ ЖҰМЫС ТИІМДІЛІГІН ИМПУЛЬСТЫ БАСҚАРУ ЖАҒДАЙЫНДА ЗЕРТТЕУ ЖӘНЕ ТАЛДАУ
(Mukhametzhan Tynyshbayev ALT University, 2025-10-08)
Omirlan Auelbekov
;
Ернар Бостанов
;
Айнур Козбакова
;
Гульназ Набиева
Бұл жұмыста маятникті-инерциялық конус тәрізді роторды импульсті басқарумен тұрақты және айнымалы магниттермен бірге қолданатын генератордың жұмысын зерттеу және талдау қарастырылған. Ұсынылған конструкция тербелмелі маятниктің қасиеттерін және инерциялық ротордың сақтау сипаттамаларын біріктіреді, бұл механикалық энергияны айналмалы қозғалысқа, одан әрі электрлік энергияға тиімді түрлендіруге мүмкіндік береді. Модельде магниттік қозудың әртүрлі режимдері ескеріледі: айналуды тұрақтандыруға арналған тұрақты магнит өрісі және энергия импульстарын адаптивті басқаруға арналған айнымалы. Сандық эксперименттер жүйенің параметрлерін (инерция моменті, кедергі, үйкеліс коэффициенті, импульстердің амплитудасы мен ұзақтығы) өзгерте отырып жүргізілді, сонымен қатар шығыс сипаттамаларын визуализациялау жүзеге асырылды: бұрыштық жылдамдық, ЭҚК, шығыс тогы және жинақталған энергия. Генератордың конструкциясы инерциялық тербелістерге байланысты ұзақ айналуды қамтамасыз етуге мүмкіндік беретін маятник тұрақтандырғышы ретінде де жұмыс істейтін магнитпен жабдықталған массивті конустық роторды қамтиды. Ротордың айналмалы қозғалысы қозғалмайтын катушкаларда электр қозғаушы күшті индукциялайды, ал генерациядан алынған энергия сыртқы жүктемені қоректендіруге бөлінеді және өздігінен зарядтау жүйелері бұрыштық жылдамдықтың төмендеуімен токтың қысқа мерзімді импульстары арқылы жүзеге асырылады, бұл энергия шығынын азайтуға және құрылғының жалпы тиімділігін арттыруға мүмкіндік береді. Модель Python ортасында кітапхана арқылы жүзеге асырылады NumPy, сонымен қатар сандық модельдеу 10 секундқа дейінгі уақыт аралығында орындалып, құрылымдық параметрлердің (ротордың массасы мен радиусы, жүктеме кедергісі, үйкеліс коэффициенті, бұрылыстар саны және магнит ағыны) әсеріне салыстырмалы талдау жүргізілді.
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INVESTIGATION OF THE EFFECT OF A HYBRID ELECTRIC MOTOR ON THE DYNAMICS AND STABILITY OF THE FUNCTIONING OF UNMANNED AERIAL VEHICLES (UAV)
(Mukhametzhan Tynyshbayev ALT University, 2025-11-29)
Omirlan Auelbekov
;
Ернар Бостанов
;
Айнур Козбакова
;
Назгуль Маметжанова
;
Феруза Маликова
The paper discusses the structural features of a hybrid power plant, the ratio of electrical and thermal circuit power, and algorithms for controlling energy and thrust distribution in various flight modes. A mathematical model of UAV motion is proposed, taking into account the thrust, inertial, and energy characteristics of the power plant, on the basis of which an analysis of transient processes, stability along orientation channels, and sensitivity to external disturbances is carried out. A comparison with traditional power plants in terms of maneuverability, stability, energy efficiency, and reliability has been performed. It has been shown that the optimal choice of hybrid drive configuration and control strategies can improve flight stability, reduce oscillation, and improve the quality of response to control actions. The aim of the study is to identify how the choice of hybrid power plant structure, the ratio of electrical and thermal circuit power, and energy flow control algorithms affect the maneuverability, transient modes, and stability of UAVs in various mission profiles. The study proposes a mathematical model of UAV motion dynamics that takes into account the characteristics of the hybrid electric drive, thrust and inertia limitations, as well as simulation of the thrust control and power distribution system operating modes. A comparison with traditional power plants is made in terms of control quality, stability, energy efficiency, and reliability. The results obtained allow determining the optimal ranges of hybrid electric motor parameters and control strategies that ensure increased stability, reduced oscillation in orientation channels, and improved response to control actions. The practical significance of the work lies in the formation of scientifically based recommendations for the design and configuration of hybrid power plants for UAVs intended for long flights, monitoring, and special tasks in difficult operating conditions. The results obtained can be used in the design and tuning of UAV power plants intended for long flights, monitoring, and special tasks in difficult operating conditions.

Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет

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