基于水文缆道自动测流的事件驱动异步并行控制设计

Design of event-driven asynchronous parallel control for automated streamfl ow measurement using hydrological cableways

为确保外挂多种传感器和包容多种自动测流模型的水文缆道自动运行控制,须提升缆道测流系统对异常事件的响应能力,针对众多传感器之间数据交互的耦合度、信息数据交互的时滞对缆道自动运行控制的影响,提出将缆道的自动运行控制动作相对应的驱动事件编制成空间状态参数矩阵,将单次控制动作按时间节点编制成时间参数向量,根据事件组合和输出反馈动态调整事件权重矩阵变量。通过对矩阵方程组的求解,建立控制过程的输入变量和事件驱动控件状态与输出变量之间的关联,满足水文缆道自动运行控制的复杂要求。最后将事件驱动异步并行控制模型用于水文缆道的自动运行控制,并以走航式ADCP和雷达波流速仪2种测流示例,验证水文缆道自动测流的应用是可行的。

To ensure the autonomous operation control of hydrological cableways capable of accommodating multiple sensors and various automatic streamfl ow measurement models,it is essential to enhance the cableway fl ow 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.