摘要
为解决现有大型河工模型流速测量系统中有线形式抗干扰能力低、系统灵活性差及信号衰减等问题,基于ZigBee无线通信网络构建了河工模型智能流速采集系统,实现了多点流速的自动采集。系统采用ZigBee网状网络结构,控制中心计算机与ZigBee协调器相连,流速采集装置与ZigBee终端相连,实现流速采集和数据传输;通过类比时间序列流速数据,实现旋桨流速错误数据的自动剔除,并根据断面流速仪布置信息生成测流断面转换矩阵,解决流速数据与实际测流点匹配问题。系统分离流速采集和数据处理过程,提高了实验和数据处理效率。实践应用表明,该流速采集系统能满足大型河工模型流速采集需要,系统构建更灵活,数据测量更准确。
In order to solve the present river velocity measurement system which uses cahle, and has low antiinterference ability, system flexibility and signal attenuation, this paper builds an intelligent river velocity acquisition system to realize automatic acquisition point velocity. The system uses the ZigBee network structure, and the control center computer is connected to ZigBee coordinator, flow velocity collection device connected to the ZigBee terminal, anti at last realizes the velocity data acquisition and data transmission. The system realizes automatic elimination of propeller current error data with the analog time series of velocity data, and generates flow cross section measurement transformation matrix according to the flow velocity instrument layout information, so that the problem of the velocity data and the actual measured flow point matching is solved. System separates velocity data and data processing to improve the effieiency of experiment and data processing. Practice application shows that, the flow velocity collection system can meet the needs of large model of river flow velocity collection, the system is flexible and accurate.
出处
《实验室研究与探索》
CAS
北大核心
2013年第12期31-34,共4页
Research and Exploration In Laboratory
基金
中央高校基本科研业务费专项资金项目(2009B09314)