Murat Kunelbayev
Al-Farabi Kazakh National University

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Calculation of temperature data from an automatic solar heat supply system Murat Kunelbayev; Serik Ixanov; Baglan Imanbek; Rashit Omarov; Omar Dauren
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i1.pp622-629

Abstract

This paper calculates the temperature in an automated solar heat supply system. The study used an automatic controller to monitor the temperature data of the entire system. The developed solar heat supply system has a flat solar collector, heat-insulating translucent glass, and double glazing with reduced pressure. The coolant is made of thin-walled corrugated stainless pipe. The heat from the solar flow heats the liquid removed from the collector, and cold water from the siphon enters its place. There is a constant circulation of heat, which increases heat transfer efficiency by eliminating additional partitions between the panel and thermal insulation. The controller has sensors that register using field-programmable gate array (FPGA) STM32, designed to monitor the entire solar system, and the actuators include power relays. During the experiment, it was found that temperature sensors save energy by 2% due to the use of power relays, which has a significant impact on the service life of the equipment.
Development of a wearable monitor to identify stress levels using internet of things Nurassyl Zholdas; Octavian Postolache; Madina Mansurova; Baurzhan Belgibaev; Murat Kunelbayev; Talshyn Sarsembayeva
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 3: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i3.pp1486-1499

Abstract

Modern life's ubiquitous component of stress has a significant impact on many facets of human existence. This article presents the development of a wearable device integrated with internet of things (IoT) technology, aiming to identify and quantify stress levels in real-time. This technology provides a possible means of improving stress assessment, enabling prompt treatments and individualized stress management techniques. ESP32-PICO computation platform was used as part of wearable stress monitor. The developed wearable monitor also includes a high-sensitivity pulse oximeter and heart-rate sensor (MAX30102) and galvanic skin response (GSR) sensors to acquire physiological signals associated with stress status. The wearable monitor device delivers data to the firebase platform via Wi-Fi. The benefits and prospective uses of the IoT-enabled wearable device are also covered in the article. It demonstrates the mobile wearable monitor adaptability in a variety of scenarios, such as offices, classrooms, and healthcare facilities, where stress management is vita and required for activity optimization. Continuous monitoring capabilities allow users to learn about their stress levels and take proactive self-care measures. During the validation experiments, the accuracy of measurement capabilities of the developed wearable monitor were evaluated reduced errors of heart rate and respiratory rate being observed.