基于Android的桥梁挠度监测及预测系统
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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.
In order to solve the problem in bridge management of real-time security monitoring and expected safety prediction based on the realization of TMS320 C6748 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 shortterm 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.
In order to solve the problem in bridge management of real-time security monitoring and expected safety prediction based on the realization of TMS320 C6748 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 shortterm 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.
引文
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2刘志平,朱丹彤,杨磊,等.Android手机传感器的桥梁振动检测试验.科技导报,2017, 35(10):80-86.
3王会峰,冀芳,汪大宝.激光基准成像测量光斑图像的亚像素检测算法.量子电子学报,2008, 25(4):402-406.[doi:10.3969/j.issn. 1007-5461.2008.04.004]
4叶剑飞,李烨.基于Socket通信的生产管理跟踪系统.软件导刊,2018, 17(3):136-138.
5戴长秀.连接池访问数据库的研究与应用.计算机时代,2017,(11):20-22, 26.
6翟羽佳.基于Web的高校图书馆毕业留念系统设计与实现.软件导刊,2015, 14(9):113-115.
7李博森,何大治,冯奕佳,等.基于Android平台的车路协同系统车载终端设计.现代电子技术,2018, 41(13):83-87.
8陈子一,宋蕾,马进财,等.基于百度地图的汽车定监测系统.科技风,2018,(19):72.
9贾振,韩印.基于百度地图API的智能交通信息展示.物流工程与管理,2016, 38(7):211-213, 218.[doi:10.3969/j.issn.1674-4993.2016.07.079]
10张强,程万洲,杨玉锋,等.多层次灰色综合评价法在管道风险评价中的应用.地质科技情报,2016, 35(2):126-128.
11杨敏,廉博,申晨,等.非标项目外协采购加权综合打分法实践研究.项目管理技术,2016, 14(8):91-93.[doi:10.3969/j.issn. 1672-4313.2016.08.017]
12张劲逸,刘燕晶.基于马尔可夫链的语言发展预测模型.中国高新区,2018,(13):47.
13 Gantar D. Application of Markov chain method for landscape scenario building. Urbani Izziv, 2009, 20(1):209-219.[doi:10.5379/urbani-izziv-en-2009-20-01-008]
14 Wu XY, Yan H, Li LR. Numerical method for reliability analysis of phased-mission system using Markov chains.Communications in Statistics-Theory and Methods, 2012,41(21):3960-3973.[doi:10.1080/03610926.2012.697969]
15彭渝舒.浅谈桥梁监测及其技术发展.山东工业技术,2014,(23):108.