On the eve of the celebration of Gratitude Day, on February 27, 2026, a charity fair was held at the Faculty of History, Economics and Law, bringing t Read more
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On February 27, 2026, in anticipation of the «celebration of Gratitude Day», the Faculty of History, Economics, and Law hosted a warm gathering and a Read more
On February 27, 2026, the Faculty of History, Economics and Law held a career guidance meeting with students of the «Foundation» program and future ap Read more
24 февраля 2026 года на базе Северо-Казахстанский высший медицинский колледж имени Жұмағали Тлеулина КГУ «УЗ акимата СКО» прошла областная олимпиада п Read more
On February 19, 2026, students of the Faculty of History, Economics, and Law actively participated in the large-scale action «Nashakorlykka Zhol Zhok! Read more
On February 19, 2026, the Faculty of History, Economics, and Law held an explanation of the draft new Constitution of the Republic of Kazakhstan. The Read more
As part of the activities of the Kozybayev Alumni Association, a meeting was held at the Faculty of History, Economics, and Law, which became a signif Read more
17 февраля 2026 года в учебно-лабораторном корпусе (аудитория 636) состоялась литературно-музыкальная композиция «Бір шаңырақ астында» / «Под одним Read more
На базе медицинском факультете НАО «Северо-Казахстанский университет имени М. Козыбаева» состоялась дискуссионная площадка «Современная конституционна Read more
Students of the Faculty of History, Economics and Law, 3rd year of the educational program 6B04108 «Business and Management» (US), Zhanna Aleksandrovn Read more
"Smart grain storage" is an integrated intelligent IoT system for remote monitoring, analysis and management of technological processes of grain storage
Priority area: Sustainable development of the agro-industrial complex and safety of agricultural products
Project manager: Koshekov K.T., Doctor of Technical Sciences, Demyanenko A.V., PhD.
Project executors: Kurmashev I.G., PhD, Tuleshov A.K., Doctor of Technical Sciences, Astapenko N.V., Master of TS, Pukema O.N., Master of TS, Koshekov A.K., master of TS.
Terms of execution: 2018-2020
Amount of financing: 69,000,000 tenge.
The goal of the project: creation of an innovative system "smart grain storage", which is an integrated intelligent IoT system designed for monitoring, analysis and control of technological processes of a grain storage, ensuring good performance, scalability and operational safety.
Expected results: As a result of the implementation of the "smart grain storage" project, an IoT solution will be offered to the problem of monitoring and controlling the technological process of grain storage using new methods and technologies: automatic collection and transmission of set parameters over a network of wireless Zigbee sensors; a non-contact method for obtaining 3d measurements using the capabilities of digital photogrammetry, ground-based remote sensing and real-time laser scanning.
Description of the project: the project proposes to develop an integrated intelligent system for monitoring, analyzing and managing technological processes of a grain storage, including modern technologies of the Internet of Things (Internet of Things, IoT), cloud applications, storage and processing of big data (Big-data), methods of obtaining 3d -measurements by recognition of images from surveillance cameras, elements of artificial intelligence and computational algorithms. Ensuring the quantitative and qualitative preservation of grain in the system is supposed by analyzing a digital model of the grain surface relief in real time based on 3d measurements.
Project objectives:
−analysis of the possibilities of using IoT technologies, cloud applications, Big-data and digital photogrammetry methods for intelligent systems for monitoring, analyzing and managing the technological process of grain storage;
−development of technical requirements and technical specifications for the creation of a "smart grain storage" system for managing an experimental grain storage of an innovative type;
−development of algorithms and methods of collection and intelligent processing;
−development of an intelligent module for creating and analyzing a digital model of the grain surface relief in the storage;
−development of an integrated intelligent system for IoT monitoring, analysis and management of an innovative type of grain storage;
−development of a set of design documentation for an experimental sample of the “smart grain storage” system;
−production and testing of an experimental model of the "smart grain storage" system.