As part of its educational and scientific-outreach activities, the Faculty of Medicine held a practical seminar on October 1, 2026, titled "STI Preven
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The Faculty of History, Economics, and Law hosted a scholarly roundtable titled "Northern Kazakhstan within the Steppe Communication Network of the
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Проведён семинар по академической политике вуза с участием студентов групп Мед 3-26. В ходе мероприятия обучающиеся ознакомились с основными положения
"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.