Continuous Operation of Storage Reservoir using Virtual Reality Technology

1)根据水库运行知识水平，提出了发现气象异常并获取新信息或对策的知识获取流程。将台风路径、降雨和径流特征数据进行分类，并与模糊集概念进行融合后加入知识库。2)将模糊推理理论与神经网络相结合，采用模糊神经预测的方法对静水曲线和水流曲线进行预测。用两种方法预测海线；一种是应用预测的流速仪，另一种是直接应用仅观测到的入水量。此外，通过信息论来表示所获得的知识水平。3)在操作指令中引入虚拟现实概念，用三维图形系统再现面板操作、闸门控制和上下游各点控制结果。使学员能在控制室了解水库的实际运行结果。4)所有的程序设计都是在个人电脑上用Visual c++进行的。该软件将支持使提出的方案紧凑和有效。由于我们获得的监测数据与实时数据不同，因此在本研究中没有考虑到实际应用。

1) According to the knowledge level for reservoir operation, we proposed the knowledge acquisition process to find abnormality of weather situation and acquire the new information or countermeasure. The data of typhoon path, rainfall, and runoff characteristics are classified and added into knowledge base after integration with fuzzy set concept.2) Hyetograph and hydrograph are predicted through fuzzy-neuro prediction combined with fuzzy inference theory and neural network. Hydrograph was predicted with two approaches ; one was application of predicted hyetograph and the other was direct application of only observed inflow. Moreover, the acquired knowledge level was represented through the information theory.3) The virtual reality concept was introduced into the operation instructions where the panel operation, gate control and controlled results at upper or downstream points were reproduced with three-dimensional graphical system. The trainee can understand the real operation results of storage reservoir in control office.4) All of programming was applied to be structured with Visual C++ on personal computer. This software will support to make the proposed program compact and effective. As we obtained the monitored data different from the real-time data, the real application was not taken in this research.