实时监测系统数据处理和动态曲线绘制方法
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摘要
数据处理和曲线绘制是实时监测系统不可或缺的组成部分。实时监测系统由前端数据采集模块、数据传输通道和后端监测模块组成。分析各种数据传输方式的特点,讨论前端采集模块中数据组织和发送的一般方式,研究后端监测模块中数据处理和曲线绘制的基本流程。针对常规曲线绘制方法效率较低、显示死板等缺点,提出基于内存拷贝数据更新方式的动态曲线绘制方法。使用API相关函数优化曲线绘制程序,使程序执行效率有较大提高,可以保证测试系统实时性要求。
Data processing and curve plotting are dispensable functional modules in real-time monitoring system. The real-time monitoring system is composed of front-end acquisition module, data transmission channel and back-end monitoring module; characteristics of different data transmission ways are analyzed. The general method of data organization and transmission in front-end module is discussed. Meanwhile, the fundamental course of data processing and curve plotting in back-end module are researched. In view of low efficiency and rigid display result in conventional method, the dynamic curve plotting method based on memory copying data updating mode is proposed. Some API functions are adopted to optimize the plotting program, which can improve the program execution efficiency and ensure the real-time requirement in testing system.
Data processing and curve plotting are dispensable functional modules in real-time monitoring system. The real-time monitoring system is composed of front-end acquisition module, data transmission channel and back-end monitoring module; characteristics of different data transmission ways are analyzed. The general method of data organization and transmission in front-end module is discussed. Meanwhile, the fundamental course of data processing and curve plotting in back-end module are researched. In view of low efficiency and rigid display result in conventional method, the dynamic curve plotting method based on memory copying data updating mode is proposed. Some API functions are adopted to optimize the plotting program, which can improve the program execution efficiency and ensure the real-time requirement in testing system.
引文
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[2]Uysal A,Bayir R.Real-time condition monitoring and fault diagnosis in switched reluctance motors with Kohonen neural network[J].Journal of Zhejiang University-SCIENCE C(Computers&Electronics),2013,14(12):941-952.
[3]郭宝玉,李震,花胜强.基于可靠UDP的强震消息触发大坝实时监测系统[J].水电自动化与大坝监测,2011,35(5):57-59,67.
[4]Dai Yongbo,Li Peng,Liu Yanju,et al.Integrated real-time monitoring system for strain/temperature distribution based on simultaneous wavelength and time division multiplexing technique[J].Optics and Lasers in Engineering,2014,59(8):19-24.
[5]孙义杰,张丹,童恒金,等.分布式光纤监测技术在三峡库区马家沟滑坡中的应用[J].中国地质灾害与防治学报,2013,24(4):97-102.
[6]吴仕兵,朱武.基于UDP浪涌保护器监测系统的设计[J].上海电力学院学报,2013,29(3):283-287.
[7]杨维,张德珍.网格型煤矿井下环境多参数监测[J].华中科技大学学报:自然科学版,2010,38(10):70-74.
[8]孙宝霞,王卫星,雷刚,等.基于无线传感器网络的稻田信息实时监测系统[J].农业机械学报,2014,45(9):241-246.
[9]王国建,鲍军民,李桑,等.分布式环境照度监测系统的研究与实现[J].自动化仪表,2013,34(9):34-36.
[10]冷欣,陈建峰,叶永.一种分布式环境声音振动监测系统的实现[J].测控技术,2013,32(6):24-27.
[11]张宁,张跃.远程医用实时监测与分析终端的研制[J].自动化与仪表,2010,25(2):5-8,49.
[12]Feng Yiheng,Hourdos J,Davis G A.Probe vehicle based real-time traffic monitoring on urban roadways[J].Transportation Research Part C,2014,40(3):160-178.
[13]沈三民,狄宋珍,秦丽,等.基于FPGA的火箭参数实时监测系统设计[J].火力与指挥控制,2011,36(5):160-163.
[14]马志刚,刘文怡.航天测试系统大容量数据曲线绘制方法的研究[J].图学学报,2014,35(4):623-629.
[15]刘文怡,甄国涌.高速测控系统中实时数据处理软件技术研究[J].华北工学院学报,2004,25(3):191-193.
[16]马志刚,刘文怡,张文栋.航天测试系统通用数据处理软件的设计[J].微电子学与计算机,2014,31(11):98-101.
[17]黄纯国,钟乐海.基于Windows的通用曲线绘图软件的设计[J].计算机应用,1997,17(3):28-30.
[18]胡星星,滕云田,王喜珍,等.地震波形数据实时监控软件的实现[J].地震地磁观测与研究,2008,29(1):104-108.
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