BP神经网络信息融合的汽车载重测量方案
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摘要
针对当前汽车载重量测量精度低的问题,;提出了基于BP神经网络信息融合算法的汽车载重测量方案。首先分析了现有的两种载重测量方法,即叠板弹簧形变量测量法和胎压变化量测量法,并分别建立了汽车载重量与叠板弹簧变化量、轮胎气压变化量的数学模型;然后提出了使用BP神经网络算法将这两种测量方法的测量信息进行融合;通过样本数据的训练,确立了BP神经网络三层网络拓扑结构和参数。设计了10组载重试验对此算法进行验证,结果表明基于BP神经网络信息融合的汽车载重测量方法可以有效地测量汽车载重,最大测量误差为0.91%。
Aimed at solving the problem of low measuring accuracy of carload,this paper proposes a measuring method based on BP neural network information fusion. Two existing methods, spring deformation measurement and tire pressure measurement,are analyzed. Mathematical model between carload and spring defomation,tire pressure is set up respectively.BP neural network algorithm is put forward to fuse the two existing methods. Through the training of sample data,structure and parameter of neural network is established. Carlaod experiment is designed to verify the BP neural network information fusion algorithm. The results show that the algorithm designed in this paper can measure carload validly,and maximum measurement error is 0.91%.
Aimed at solving the problem of low measuring accuracy of carload,this paper proposes a measuring method based on BP neural network information fusion. Two existing methods, spring deformation measurement and tire pressure measurement,are analyzed. Mathematical model between carload and spring defomation,tire pressure is set up respectively.BP neural network algorithm is put forward to fuse the two existing methods. Through the training of sample data,structure and parameter of neural network is established. Carlaod experiment is designed to verify the BP neural network information fusion algorithm. The results show that the algorithm designed in this paper can measure carload validly,and maximum measurement error is 0.91%.
引文
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[4]李翔,李焕良,韩金华.基于胎压监测的自卸车车载称重系统设计[J].机械,2014,10(41):55-59.(Li Xiang,Li Huan-liang,Ham Jin-hua.Design of Dump Truck Vehiclemounted Weighing System Based on Tire Pressure Monitoring[J].Machinery,2014,10(41):55-59.)
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[8]吴冬敏,邵剑平,芮延年.基于蚁群算法和神经网络的数控机床故障诊断技术研究[J].机械设计与制造,2013(1):165-167.(Wu Dong-min,Shao Jian-ping,Rui Yan-nian.Research on CNC Machine Fault Diagnosis Based on Ant Colony Algorithm and Neutral Network[J].Machinary Design&Manufacture,2013(1):165-167.)
[9]樊雷松,强彦,赵涓涓.无线传感网中基于BP神经网络的数据融合方法[J].计算机工程与设计,2014,35(1):62-66.(Fan Lei-song,Qiang Yan,Zhao Juan-juan.Data Fusion Method Based on BP Neutral Network in Wireless Sensor Networks[J].Computer Engineering and Design,2014,35(1):62-66.)
[10]陈忱,胡薇薇,孙宇峰.基于BP-Ada Boost的电子式电能表故障检测方法[J].电光与控制,2013,20(4):72-76.(Chen Chen,Hu Wei-wei,Sun Xu-feng.Failure Supervising Method for Electricity Meter Based on BP-Ada Boost Algorithm[J].Electronics Optics&Control,2013,20(4):72-76.)
[2]吴天祥.一种用于高速公路的汽车载重自动检测系统[J].云南交通科技,2002,18(6):25-26.(Wu Xiang-tian.A Carlaod Automatic Detection System for Highway[J].The Communication Science and Technology in Yunnan,2002,18(6):25-26.)
[3]迟宗涛,刘祥超,王立廷.汽车载重检测装置的设计[J].电器自动化,2005,27(1):59-60.(Chi Zong-tao,Liu Xiang-chao,Wang Li-yan.The Study and Design about Measuring Device of Trucking Load[J].Electrical Automation,2005,27(1):59-60.)
[4]李翔,李焕良,韩金华.基于胎压监测的自卸车车载称重系统设计[J].机械,2014,10(41):55-59.(Li Xiang,Li Huan-liang,Ham Jin-hua.Design of Dump Truck Vehiclemounted Weighing System Based on Tire Pressure Monitoring[J].Machinery,2014,10(41):55-59.)
[5]Eskild R.Westby,Einar Halvorsen.Design and Modeling of a PatternedElectret-Based Energy Harvester for Tire Pressure Monitoring System[J].IEEE/ASME Transiations on Mechatronics,2011,162(1):1-11.
[6]Shraim H.Estimation and Analysis of the Tire Pressure Effects on the Comportment of the Vehicle Center of Gravity[J].IEEE Transiations on Industrial Electronics,2006,38(1):5-7.
[7]谭六喜.声表面波传感器及无缘胎压监测模拟试验研究[D].武汉:华中科技大学,2007.(Tan Liu-xi.Reasearch on Surface Acoustic Wave Sensor and Betteryless Tire Pressure Monitoring Experiment Simulating[D].Wu Han:Hua Zhong University of Science and Technology,2007.)
[8]吴冬敏,邵剑平,芮延年.基于蚁群算法和神经网络的数控机床故障诊断技术研究[J].机械设计与制造,2013(1):165-167.(Wu Dong-min,Shao Jian-ping,Rui Yan-nian.Research on CNC Machine Fault Diagnosis Based on Ant Colony Algorithm and Neutral Network[J].Machinary Design&Manufacture,2013(1):165-167.)
[9]樊雷松,强彦,赵涓涓.无线传感网中基于BP神经网络的数据融合方法[J].计算机工程与设计,2014,35(1):62-66.(Fan Lei-song,Qiang Yan,Zhao Juan-juan.Data Fusion Method Based on BP Neutral Network in Wireless Sensor Networks[J].Computer Engineering and Design,2014,35(1):62-66.)
[10]陈忱,胡薇薇,孙宇峰.基于BP-Ada Boost的电子式电能表故障检测方法[J].电光与控制,2013,20(4):72-76.(Chen Chen,Hu Wei-wei,Sun Xu-feng.Failure Supervising Method for Electricity Meter Based on BP-Ada Boost Algorithm[J].Electronics Optics&Control,2013,20(4):72-76.)