基于ARM cortex M3铁轨塌方自动检测报警系统
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摘要
当前铁轨塌方检测通常采用人工检测方法,令专业技术人员定期对铁轨进行安全检查,通过经验判断是否会发生塌方。人工检测危险系数高;且因主观性导致误差较大。为此,设计了一种新的基于ARM cortex M3铁轨塌方自动检测报警系统,所设计系统主要由传感器检测模块、CPU控制模块、GSM无线传输模块、太阳能供电模块以及GPS定位模块构成,详细介绍了关键模块的设计过程。将ARM cortex M3作为整个系统的主要控制芯片,通过塌方传感器对塌方情况进行检测;利用GPS定位模块对塌方位置进行定位;通过远程无线传输模块实现报警,利用最小二乘法多项式曲线拟合方法对传感器检测过程中出现的误差施行补偿。实验结果表明,所设计系统不仅能有效实现报警,而且不易出现故障、维修成本低、实时性高。
The current rail collapse detection usually adopts manual detection method,the professional and technical personnel conduct regular safety inspections of the tracks,judge whether it would collapse by experience,artificial detection and high risk,and because of subjective errors caused. Therefore,an automatic detection and alarm system based on ARM cortex M3 rail collapse new design,the design system is composed of sensor detection module,CPU control module,GSM wireless transmission module,solar power module and GPS positioning module,introduces the design process of the key module. The ARM cortex M3 as the main control chip of the whole system,to detect collapse collapse by sensor,using GPS positioning module to locate the collapse position through the remote wireless transmission module to achieve the alarm,using the least squares polynomial curve fitting method of error compensation implementation in the process of detection sensor. The experimental results show that the designed system not only can effectively realize the alarm,but also is not easy to malfunction,low maintenance cost and high real-time performance.
The current rail collapse detection usually adopts manual detection method,the professional and technical personnel conduct regular safety inspections of the tracks,judge whether it would collapse by experience,artificial detection and high risk,and because of subjective errors caused. Therefore,an automatic detection and alarm system based on ARM cortex M3 rail collapse new design,the design system is composed of sensor detection module,CPU control module,GSM wireless transmission module,solar power module and GPS positioning module,introduces the design process of the key module. The ARM cortex M3 as the main control chip of the whole system,to detect collapse collapse by sensor,using GPS positioning module to locate the collapse position through the remote wireless transmission module to achieve the alarm,using the least squares polynomial curve fitting method of error compensation implementation in the process of detection sensor. The experimental results show that the designed system not only can effectively realize the alarm,but also is not easy to malfunction,low maintenance cost and high real-time performance.
引文
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19 Molodova M,Li Z,Nú1ez A,et al.Automatic detection of squats in railway infrastructure.IEEE Transactions on Intelligent Transportation Systems,2014;15(5):1980-1990
20 Dou J,Li X,Yunus A P,et al.Automatic detection of sinkhole collapses at finer resolutions using a multi-component remote sensing approach.Natural Hazards,2015;78(2):1021-1044
2陈茹.电子线路板卡自动检测系统输入输出扩展电路的设计.电子设计工程,2016;24(12):121-123Chen Ru.Electronic circuit board automatically detects the system input and output expansion circuit design.Electronic Design Engineering,2016;24(12):121-123
3常文萃.大型船舶水线面视觉图像检测自动化系统设计.计算机仿真,2015;32(8):199-202Chang Wencui.Design of automatic detection system for visual image of large ship waterline.Computer Simulation,2015;32(8):199-202
4 Sgambi L.Influence of degradation at the base of a support post in a collapse of an old guardrail:a forensic analysis.Engineering Failure Analysis,2014;42(4):284-296
5刘坤,张晓怿,陈海永,等.带钢表面质量在线检测系统研究与设计.计算机测量与控制,2015;23(6):1881-1884Liu Kun,Zhang Xiaoyi,Chen Haiyong,et al.Study and system design for steel surface defect detection online.Computer Measurement&Control,2015;23(6):1881-1884
6王迎超,李亚博,乔伟,等.基于层次分析法的隧道塌方影响因素的定量评估研究.科技通报,2016;32(5):180-186Wang Yingchao,Li Yabo,Qiao Wei,et al.Study on the quantitative evaluation of influencing factors of tunnel collapse based on analytic hierarchy process.Bulletin of Science and Technology,2016;32(5):180-186
7 Micheal A A,Vani K,Sanjeevi S.Automatic graben detection in lunar images using hessian technique.Journal of the Indian Society of Remote Sensing,2014;42(2):445-451
8徐振辉,周世海,赵富全,等.一种基于改进视觉注意模型和局部自相似性的目标自动检测算法研究.科学技术与工程,2014;14(25):115-118Xu Zhenhui,Zhou Shihai,Zhao Fuquan,et al.Research on target detection algorithm based on improved visual attention model and local self-similarity character.Science Technology and Engineering,2014;14(25):115-118
9 Boudemagh N,Hammoudi Z.Automatic censoring CFAR detector for heterogeneous environments.AEU-International Journal of Electronics and Communications,2014;68(12):1253-1260
10刘洋,余刃,张耀,等.核反应堆非保护信号停堆自动检测报警装置设计.四川兵工学报,2016;37(1):82-86Liu Yang,Yu Ren,Zhang Yao,et al.Design of automatic detection and alarm device for nuclear reactor non-protection signal shutdown.Journal of Sichuan Ordnance,2016;37(1):82-86
11杨光,刘敦文,褚夫蛟,等.基于云模型的隧道塌方风险等级评价.中国安全生产科学技术,2015;11(6):95-101Yang Guang,Liu Dunwen,Chu Fu-jiao,et al.Evaluation on risk grade of tunnel collapse based on cloud model.Journal of Safety Science and Technology,2015;11(6):95-101
12 Mera C,Branch J W.A survey on class imbalance learning on automatic visual inspection.IEEE Latin America Transactions,2014;12(4):657-667
13冯迎军.碳质板岩隧道塌方处理方案探讨.现代隧道技术,2014;51(2):178-181Feng Yingjun.Discussion of the treatment of collapse in a tunnel passing through carbonaceous slate.Modern Tunnelling Technology,2014;51(2):178-181
14董亚宁,王帮策,陈能革.软弱岩层巷道塌方区防渗加固治理技术.安徽冶金科技职业学院学报,2014;24(1):27-30Dong Yaning,Wang Bangce,Chen Nengge.Anti-seepage reinforcement and control technology of roadway landslide area in soft rock stratum.Journal of Anhui Vocational College of Metallurgy and Technology,2014;24(1):27-30
15尹强.新型火灾报警系统在向家坝水电站的应用.水力发电,2014;40(1):57-59Yin Qiang.Application of new fire alarm system in Xiangjiaba hydropower station.Water Power,2014;40(1):57-59
16 Jacquet D,Hasbani F,Flatresse P,et al.A 3 GHz dual core processor ARM Cortex TM-A9 in 28 nm UTBB FD-SOI CMOS with ultra-wide voltage range and energy efficiency optimization.IEEE Journal of Solid-State Circuits,2014;49(4):812-826
17赵斌,周军.基于改进棋盘的角点自动检测与排序.光学精密工程,2015;23(1):237-244Zhao Bin,Zhou Jun.Automatic detection and sorting of corners by improved chessboard pattern.Optics and Precision Engineering,2015;23(1):237-244
18李冠志,万贤福,汪军,等.基于机器视觉的坯布疵点实时自动检测平台.东华大学学报(自然科学版),2014;40(1):11-16Li Guanzhi,Wan Xianfu,Wang Jun,et al.The machine visionbased platform for real-time grey fabric defect detection.Journal of Donghua University(Natural Science Edition),2014;40(1):11-16
19 Molodova M,Li Z,Nú1ez A,et al.Automatic detection of squats in railway infrastructure.IEEE Transactions on Intelligent Transportation Systems,2014;15(5):1980-1990
20 Dou J,Li X,Yunus A P,et al.Automatic detection of sinkhole collapses at finer resolutions using a multi-component remote sensing approach.Natural Hazards,2015;78(2):1021-1044