Lako, A., & Barko, O.
(2024).
Design and optimisation of automated hydraulic gate control systems for flood control.
Machinery & Energetics,
15(4),
58-68.
https://doi.org/10.31548/machinery/4.2024.58
The study was conducted to analyse the design and optimisation of automated hydraulic gate control systems for effective flood control. It used data analysis from water level sensors, modelling of hydraulic systems, and control algorithms to automate the monitoring of hydraulic locks. As a result of the study, key aspects that confirm the importance of automation of hydraulic gate control for effective flood control were identified. It was established that the introduction of radiofrequency and ultrasonic sensors for water level monitoring provided a high level of data accuracy, which allowed responding in a timely manner to rising water levels. Adaptive control algorithms allowed optimising the operation of gates in dynamic conditions, considering changes in hydrodynamic characteristics. In addition, analysis of gate stability showed that the use of modern materials, such as high-strength steels and composites, substantially increased their durability and corrosion resistance. This was an important factor in ensuring the reliable operation of structures in extreme conditions. The examined models of the dynamic behaviour of gates identified critical zones that are subject to special attention during design since they can be destroyed under the influence of hydrodynamic forces. Overall, the results of the study highlighted the importance of integrating modern technologies into the design of hydraulic systems to improve their functionality and reliability in flood-risk situations. The influence of vibrations and resonant phenomena on the gate structures was analysed, which allowed identifying possible risks for their stability in flood conditions. As a result, recommendations for gate design included structural improvements that help reduce dynamic loads and improve their ability to withstand extreme hydrodynamic conditions
water level sensors, algorithms, hydrodynamic pressure, weather forecasting, dynamic behaviour
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