Design of event-driven asynchronous parallel control for automated streamflow measurement using hydrological cableways
To ensure the autonomous operation control of hydrological cableways capable of accommodating multiple sensors and various automatic streamflow measurement models,it is essential to enhance the cableway flow measurement system's responsiveness to abnormal events.Addressing the effects of coupling among the interaction of data across numerous sensors and the latency in data exchange on the autonomous operational control of the cableway,this study proposes the compilation of space state parameter matrices corresponding to the automatic operational control actions of the cableway driven by specific events.It also involves the assembly of temporal parameter vectors for individual control actions based on time nodes,with dynamic adjustments to the event weight matrix variables based on event combinations and output feedback.By solving the matrix equations,a correlation is established between the control process's input variables,the states of event-driven controls,and the output variables,thus fulfilling the complex requirements of autonomous operational control for hydrological cableways.Finally,the event-driven asynchronous parallel control model is applied to the autonomous operational control of hydrological cableways,with illustrative examples of streamflow measurement using both profiling ADCP and radar-based velocimeters,verifying the feasibility of the application for automated streamflow measurement in hydrological cableways.
event-drivenasynchronous parallelhydrological cableway automated streamflow measurementoperational control
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