基于LAN的柴油机活塞—连杆组检测系统
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摘要
随着铁路运输的不断发展和高速、重载运输的分布实施,对机车质量及运行的安全可靠性提出了更高的要求。
     柴油机作为内燃机车的动力源,它的运行状况直接决定了内燃机车的运行情况。机务段的维修质量很大程度上依靠人工的检测。计算机检测系统作为自动化的检测方式具有检测精度高、劳动强度小等优点越来越受到机务段的重视。本论文是在哈密机务段为提高检测质量而立项的活塞—连杆组检测系统的基础上完成的。
     论文首先概括介绍了整个系统的组成,并介绍了软件部分和硬件的组成和提出了整个论文的主要工作。在整体分析的基础上,论文介绍了检测原理和传感器选用。接着介绍了数据库原理和网络通信原理,并在此基础上设计了本系统所用数据库结构和网络通信协议。
     论文在数据库系统和网络系统之后,详细介绍了活塞—连杆组优化选配算法——遗传算法。通过模拟实际情况确定了遗传算法的基本参数:交叉方式、变异方式、交叉概率、变异概率等。并选择了基本遗传算法、精英保留遗传算法和进化规划作为算法比较。确定了进化规划为选配优化的算法。
     最后,为使网内其它单位共享系统的信息,在主监控计算机上建立了一个小的网站。
Along with the development of railway transportation and the implement of high-speed, heavy-haul transport step by step, the quality of locomotive, the safety and reliability of railway operation faced more strictly request.
    diesel engine was the main power source of diesel locomotive, it's quality directly determined the operation situation of diesel locomotive. The quality of locomotive inspection and repair in the locomotive depot mostly depended on the human operation. As a automatic means the Computer Measure System which has the merit of highly measure precision, little working intension and etc became more and more recognition by the locomotive depot. This thesis is base on the project of the piston and connecting rod measure system in hami locomotive depot.
    Firstly the thesis gave a total introduction of the system, the software parts and the hardware parts. Gave a simple introduction of the main job of the thesis. And then the measure theory and the selection of sensor was described. Base on the theory of database and network communication the thesis designed the database structure and network communication protocol.
    Secondly the Genetic Algorithms was used in the optimize matching problem of the piston and connecting rod. Through simulation acquired the basically parameter such as crossover mode, mutation mode, crossover probability, mutation probability and etc. and as the algorithms comparison chosen the basically Genetic Algorithms, elitist selection Genetic Algorithms and the Evolutionary Programming. Determined the Evolutionary Programming as the optimize matching algorithms.
    At last, in order to share the information by others built a small Web Station in main measure computer.
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