Automation of Control of Technological Process of Storage in a Granary with Horizontal Silos

Grain storage and processing is the most important component of the grain market infrastructure. The task of grain storage is to ensure complete safety of quantity and quality with minimal labor and money costs. In the laboratory of the M. Kozybayev North Kazakhstan University, a prototype of an innovative type of grain storage was developed using horizontal silos, designed to reduce the cost of construction and reconstruction of elevators while improving quality, increasing storage times and reducing current storage costs. The design feature makes it possible to automate most of the operations of the technological process of grain storage. This article proposes a method for the automated formation of control actions on grain storage equipment as a result of data analysis from temperature, humidity, carbon dioxide level sensors and 3D measurements of the grain surface. A project of an automated system for monitoring and controlling grain storage facilities with horizontal silos has been developed. A distinctive feature of the proposed automated system is the most complete set of conditions for the correct storage of grain in comparison with other control systems for the technological process of a granary. Automation of work is achieved through the developed method for generating control signals, as well as such computational algorithms as forecasting the completion time of loading based on the conditional filling rate of the grain storage section, forecasting the completion time of unloading based on the conditional grain release rate, calculating the grain volume in the section using 3D measurements. The logic of the functioning of the basic algorithms for an automated monitoring and control system for a granary with horizontal silos is based on the analysis of the parameters of temperature, humidity, carbon dioxide level and 3D measurements of the grain surface in the sections of the granary. In the presented project of an automated system, scientific knowledge and achievements in the field of grain storage and the theory of identification measurements were taken into account, which makes it possible to use the described algorithms in information systems for monitoring grain storage facilities of other types.

1. Song J., Kai W., Xiaochen Zh. Measurement and control system based on wireless senor network for granary, 5th International Conference on Education, Management, Information and Medicine (EMIM), 2015, pp. 256—260, available at: https://doi.org/10.2991/emim-15.2015.50.

2. Liu J. Design of granary temperature monitoring system based on virtual instrument technology, Advanced Materials Research, 2012, vols. 542—543, pp. 212—216.

3. Galande S., Agrawal G., Anap M. A Parameter monitoring and control of grain storage by embedded system, International Journal of Informative & Futuristic Research, 2015, vol. 2(11), pp. 4172—4179.

4. Li L. J. Distributed sensors network of granary based on Zigbee, Network and Information Technology, 2012, vol. 31, pp. 63—65.

5. Zhang X. D., Zhang J., Li Z. Q. Environmental monitoring in grain granary based on embedded system — 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), China, 2016, pp. 1051—1054.

6. Zou Z., Wang Y., Zhou M. Design of ZigBee & ARM technology based granary monitoring system — 3rd IEEE Information Technology and Mechatronics Engineering Conference (ITOEC), China, 2017, pp. 835—838.

7. Zheng X. X., Li L. R., Shao S. F. A GSM-based remote temperature and humidity monitoring system for granary — International Conference on Electronic, Information and Computer Engineering (ICEICE), Hong Kong, 2016, vol. 44.

8. Surendra M., Kishore G. The Design of granary environment monitoring through web server based on ARM-9 and Zigbee, International Journal of Advanced Technology and Innovative Research, 2014, vol. 06 (12), pp. 1552—1555.

9. Sujatha P., Kishore Ch. Advanced system for monitoring and controlling of the grain condition based on ARM7, International Journal of Innovative Technologies, 2015, vol. 04 (29), pp. 5655—5660.

10. Khorgade М., Dr. Dakhole P. Granary environmental monitoring system using ZigBee and ARM Processor IJCSN, International Journal of Computer Science and Network, 2015, vol. 4 (3), pp. 456—460.

11. Zhang X., Zhang D. X. A Detection model of granary storage quantity based on deep learning, Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering, 2017, vol. 125, pp. 30—33.

12. Qing Sh., Tao X., Yoshino T. Point cloud simplification algorithm based on particle swarm optimization for online measurement of stored bulk grain, International journal of agricultural and biological engineering, 2016, vol. 9(1), pp. 71—78.

13. Miao Zh., Dexian Zh. A Hybrid model for granary storage quantity detection, Journal of Residuals Science & Technology, DEStech Publications, 2016, vol. 13 (5).

14. Drincha V. M. Control and monitoring of grain temperature: a guarantee of the preservation of its quality, TechnoGrad, available at: http://www.agrometall.ru/uchebnyj-centr-zhivoe-zerno/nou-hau/stati-po-posleuborochnoj-obrabotke-zerna/kontrol-i-monitoring-temperatury-zerna/ (in Russian).

15. Nedelko A. Yu., Maslo A. D., Kropachev D. Yu. The system for monitoring the temperature of grain in elevators and granaries, Metrology Competence, 2012, no. 7, pp. 52—56 (in Russian).

16. Tuleshov A. K., Dilmagambetov Sh.N., Baibolov K. B., Kozhakov K. S., Dilmagambetov R. P. Eurasian patent No. 201600284 Method for unloading bulk materials, mainly grain, from containers and storages, a device for its implementation and storage for bulk materials, mainly grain (in Russian)

17. Astapenko N. V., Koshekov К. Т., Petrov P. A. Design of the granary technological process control subsystem for monitoring of the grain volume in a silo, Dynamics of Systems, Mechanisms and Machines (Dynamics 2016), 2016, pp. 48—52.

18. Astapenko N., Koshekov K., Kolesnikov A. Methodology of automatic registration of 3D measurements of bulk materials in granaries, Computer Optics, 2018, vol. 42 (03), pp. 510—520, available at: https://doi.org/10.18287/2412-6179-2018-42-3-510-520.

19. Karpov V., Chirkova A., Mogdalev P. Uchebno-methodical manual Belarusian State Agricultural Academy, Gorki, Publishing house of BSAA, 2007, 63 p.

20. Shepelev M. A. Grain storage technology: teaching aid on storage technology and processing of crop products for students of the specialty "5B080100-Agronomy", Kostanay, Publishing house of KPU A. Baitursynova, 2013, 62 p. (in Russian).

21. Koshekov K., Klikushin Yu., Savostin A., Sofyina N., Astapenko N., Kashevkin A., Koshekova B. Modernization of vibrational analysis based on identification measurements, Russian Journal of Nondestructive Testing, 2018, no. 54(5), pp. 328—334.