本文選題：路面不平度 + 加速度傳感器　； 參考：《江蘇科技大學(xué)》2014年碩士論文

【摘要】：道路的路面不平度信息是評價道路綜合質(zhì)量的主要技術(shù)指標之一，反映的是路面縱斷面參照基準平面的凹凸偏差值，如何對路面不平度指標進行快速準確的檢測是當前道路工程領(lǐng)域十分重要的課題。隨著傳感器技術(shù)的快速發(fā)展，非接觸式檢測法采集路面不平度已成為該領(lǐng)域的研究趨勢。因此，本文結(jié)合加速度傳感器設(shè)計開發(fā)了一套車載式路面不平度采集系統(tǒng)。 本文首先從理論上分析了系統(tǒng)總體方案的可行性，并著重研究了與采集有關(guān)的汽車懸架模型和后期數(shù)據(jù)處理理論算法；再結(jié)合C8051F005單片機設(shè)計開發(fā)了采集系統(tǒng)下位機的硬件電路和嵌入式軟件程序；然后結(jié)合C#設(shè)計開發(fā)了系統(tǒng)上位機界面；最后分析了由系統(tǒng)采集的實車數(shù)據(jù)。系統(tǒng)測試結(jié)果表明：將行駛汽車懸架的垂直加速度信息間接測量路面不平度的方案是合理可行的；同時，基于時間序列的自回歸建模計算IRI測量方法可以運用于路面不平度分級；目前，國內(nèi)的路面檢測設(shè)備多為進口，價格昂貴，而本文已設(shè)計出整套測量系統(tǒng)的軟硬件，，從硬件搭建到軟件算法處理均已形成體系，若將本系統(tǒng)再多加設(shè)計和優(yōu)化，則可以應(yīng)用于工程路面數(shù)據(jù)采集和路面不平度分級等領(lǐng)域。 本文完成的內(nèi)容主要包括： 1、基于加速度傳感器開發(fā)了一套路面不平度數(shù)據(jù)采集的下位機系統(tǒng)； 2、對開發(fā)的下位機嵌入了藍牙無線傳輸功能，實現(xiàn)了上、下位機之間的無線數(shù)據(jù)傳輸和指令交換； 3、基于.net平臺開發(fā)了一套針對下位機的上位機數(shù)據(jù)采集界面，包含指令控制、數(shù)據(jù)采集、數(shù)據(jù)顯示、數(shù)據(jù)存儲、數(shù)據(jù)分析等功能； 4、針對實車采集的實驗數(shù)據(jù)進行了路面不平度特征提取和路面等級評價。
[Abstract]:The road roughness information is one of the main technical indexes to evaluate the road comprehensive quality, which reflects the concave and convex deviation value of the reference plane of the pavement longitudinal section. How to detect the road roughness quickly and accurately is a very important subject in the field of road engineering. With the rapid development of sensor technology, non-contact detection method to collect road roughness has become the research trend in this field. Therefore, a vehicle-borne road roughness acquisition system based on acceleration sensor is developed in this paper. In this paper, the feasibility of the overall system scheme is analyzed theoretically, and the vehicle suspension model and the data processing algorithm related to the acquisition are studied. Then the hardware circuit and embedded software program of the acquisition system are designed and developed with C8051F005 single chip microcomputer, and then the upper computer interface is developed with C #. Finally, the real car data collected by the system is analyzed. The system test results show that it is reasonable and feasible to measure the road roughness indirectly with the vertical acceleration information of the vehicle suspension. The IRI measurement method based on time series autoregressive modeling can be used in pavement roughness classification. At present, most of the domestic pavement detection equipment is imported, and the price is expensive. In this paper, the software and hardware of the whole measurement system have been designed. The system has been formed from hardware construction to software algorithm processing. If the system is further designed and optimized, it can be applied to engineering pavement data collection and pavement roughness classification and so on. The main contents of this paper are as follows: 1. Based on the acceleration sensor, a data acquisition system of road roughness is developed, and the Bluetooth wireless transmission function is embedded into the lower computer. The wireless data transmission and instruction exchange between the lower computers. 3. Based on the .net platform, a data acquisition interface for the lower computer is developed, which includes command control, data acquisition, data display, data storage, etc. Data analysis and other functions. 4, the road surface roughness feature extraction and pavement grade evaluation are carried out based on the experimental data collected by real vehicle.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U416.2

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本文編號：2055969