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计算机系统应用:2019,28(1):87-93
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基于Android的桥梁挠度监测及预测系统
(1.长安大学 电子与控制工程学院, 西安 710064;2.渭南市交通工程质量监督站, 渭南 714000)
Bridge Deflection Monitoring and Prediction System Based on Android
(1.School of Electronics and Control Engineering, Chang'an University, Xi'an 710064, China;2.Weinan Highway Quality Supervisory Station, Weinan 714000, China)
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投稿时间:2018-07-19    修订日期:2018-08-21
中文摘要: 为了解决桥梁管理部门对桥梁实时安全程度的监测及预期安全程度预测的问题,基于TMS320C6748激光光斑中心定位的实现,设计一种基于Android的桥梁挠度监测及预测系统.监测系统采用模块化的设计思想,由Socket服务器模块、Web服务器模块和Android模块组成.结合来自Socket服务器模块接收的实时桥梁挠度数据,建立数据库连接及操作,运用移动终端与Web服务器相结合的信息化环境,实现基于百度地图API的桥梁信息标注、搜素、挠度信息显示的功能.预测系统通过对比分析综合评分法和优化的马尔可夫链,对桥梁短期状态变化进行预测.经过多次对模拟桥梁的模拟运行检测,算法预测结果和实际情况相符合,且整套软件运行时间控制在4至6 s,实现了对实时性的要求.结果表明,该系统具有很强的实用性、实时性和准确性.为桥梁管理者监管桥梁,及时制定桥梁具体养护计划提供了便捷准确的途径.
Abstract:In order to solve the problem in bridge management of real-time security monitoring and expected safety prediction based on the realization of TMS320C6748 laser spot center positioning, a bridge deflection monitoring and prediction system based on Android is designed. The monitoring system adopts a modular design idea and consists of a Socket server module, a Web server module, and an Android module. Combined with the real-time bridge deflection data received from the Socket server module, the database connection and operation are established, and the information environment combined with the mobile terminal and the Web server is used to realize the function of bridge information annotation, search, and deflection information display based on Baidu map API. The prediction system predicts the short-term bridge state changes by comparing and analyzing the comprehensive scoring method and the optimized Markov chain. After many times of simulation test of the simulated bridge, the prediction result of the algorithm is consistent with the actual situation, and the running time of the whole software is controlled in 4 to 6 seconds, realizing the requirement of real-time performance. The results show that the system has strong accuracy, real-time, and practicability, which provides a convenient and accurate way for the bridge managers to supervise the bridge and timely formulate the bridge concrete maintenance plan.
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基金项目:陕西省交通运输厅科技项目(17-33T)
引用文本:
张丹丹,赵宏伟,宋云峰.基于Android的桥梁挠度监测及预测系统.计算机系统应用,2019,28(1):87-93
ZHANG Dan-Dan,ZHAO Hong-Wei,SONG Yun-Feng.Bridge Deflection Monitoring and Prediction System Based on Android.COMPUTER SYSTEMS APPLICATIONS,2019,28(1):87-93

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