ANALYSIS OF AUTOMATIC CONTROL OF THE CHANNELS AND DITCHES CLEANING MECHANISM BASED ON DYNAMIC INDICATORS

Authors

• Nasiba Siraj Amirbayova, Azerbaijan State Oil and Industry University. Address: Azadlyg avenue 34., Baku city, Republic of Azerbaijan. E-mail: nasiba.amirbayova@asoiu.edu.az, Phone: +994-55-825-28-62.

Abstract

The article deals with the automated design and experimental investigation of reinforced concrete irrigation channels and ditches, their interrelated channel-cleaning mechanisms, which are complex mechatronic systems integrating hydraulic, mechanical, and electronic components. A thorough methodology is suggested, hydrodynamic modeling, combining parametric analysis, and information-based design support to enhance channel concrete cover thickness, geometry, and cleaning system performance. Main structural parameters—involving channel depth, slope, bottom width, and concrete cover—are systematically defined and shown in matrix form to facilitate automated calculation and decision-making. Experimental prototypes and Solid Edge-based digital models are employed to verify the methodology, revealing vital interdependencies between structural parameters, leakage, flow distribution, and cleaning efficiency. A block-diagram algorithm is presented to form the automated design process, ensuring compliance with durability standards and operational requisites. The findings prove that optimized reinforced concrete channels substantially decrease water losses, enhance irrigation reliability, and avoid soil salinization. This integrated structure provides a scientifically grounded method for the automated design of irrigation infrastructure, developing both the productivity and sustainability of agricultural water management systems.

First Page

46

Last Page

52

References

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Recommended Citation

Siraj Amirbayova, Nasiba (2026) "ANALYSIS OF AUTOMATIC CONTROL OF THE CHANNELS AND DITCHES CLEANING MECHANISM BASED ON DYNAMIC INDICATORS," Chemical Technology, Control and Management: Vol. 2026: Iss. 2, Article 6.
DOI: https://doi.org/10.59048/2181-1105.1735