高速公路動態(tài)稱重系統(tǒng)構(gòu)建與數(shù)據(jù)處理研究
發(fā)布時間：2018-09-01 16:52
【摘要】：隨著我國改革開放的不斷深入,高速公路的在建設(shè)里程和實際的通車里程不斷增加,使得經(jīng)濟發(fā)展對于公路交通的依賴日益增強。然而,高速公路運營數(shù)量增多的同時,一些運輸企業(yè)或個人為了能夠獲取更大經(jīng)濟效益,在運輸中進行超載運輸。這不僅給運輸車輛和人員帶來危險,也給高速公路本身帶來嚴重的影響。因此,對于高速公路的超載治理也引起相關(guān)的管理部門的重視。當(dāng)前,動態(tài)稱重技術(shù)是高速公路管理部門進行超重治理的重要技術(shù),也是很多研究機構(gòu)和學(xué)者關(guān)注的熱點研究內(nèi)容,其成為了高速公路管理部門進行超載管理的有效措施。通過應(yīng)用動態(tài)稱重技術(shù)能夠提高管理部門對于高速公路的管理水平,減少高速公路的維護成本的投入,減少因車輛超載問題引起的人、車、路的損失。本文以研究高速公路動態(tài)稱重系統(tǒng)構(gòu)建與數(shù)據(jù)處理研究為目標,通過研究相關(guān)背景、國內(nèi)外研究的現(xiàn)狀等問題,從中找出本次的研究目標與內(nèi)容。進而以高速公路收費站管理為目標研究了高速公路動態(tài)稱重系統(tǒng)的設(shè)計原則,分析其組成與基本工作原理,研究車道布局與工作流程等問題。研究與分析高速公路動態(tài)稱重系統(tǒng)誤差來源問題;從而有針對性地進行稱重傳感器的選擇;同時,進行稱重數(shù)據(jù)采集、傳輸方案的設(shè)計以及抗干擾設(shè)計的研究;分析動態(tài)稱重信號的小波變換、動態(tài)稱重信號預(yù)處理方法,研究了基于RBF神經(jīng)網(wǎng)絡(luò)的動態(tài)稱重處理涉及到的徑向基函數(shù)網(wǎng)絡(luò)模型、RBF神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)算法等;同時進行了稱重數(shù)據(jù)采集,進行了RBF神經(jīng)網(wǎng)絡(luò)在動態(tài)稱重算法流程、程序設(shè)計以及實際數(shù)據(jù)測試,進而得出RBF神經(jīng)網(wǎng)絡(luò)在動態(tài)稱重的結(jié)論。通過上述研究,RBF神經(jīng)網(wǎng)絡(luò)算法在高速公路動態(tài)稱重中應(yīng)用具有較高的精度和可靠性,其具體應(yīng)用與研究有非常好的應(yīng)用前景。
[Abstract]:With the deepening of China's reform and opening up, the highway mileage in construction and actual mileage are increasing, which makes the economic development rely on highway traffic increasingly. However, while the number of expressway operation is increasing, some transportation enterprises or individuals carry out overload transportation in order to obtain more economic benefits. This not only brings the danger to the transport vehicles and personnel, but also brings the serious influence to the highway itself. Therefore, the overload of highway management also caused the attention of the relevant management departments. At present, dynamic weighing technology is an important technology for highway management departments to manage overweight, and it is also a hot research content of many research institutions and scholars. It has become an effective measure for highway management departments to carry out overload management. The application of dynamic weighing technology can improve the management level of expressway, reduce the cost of expressway maintenance, and reduce the loss of people, vehicles and roads caused by overloading of vehicles. The purpose of this paper is to study the construction and data processing of highway dynamic weighing system. Through the research of related background and the current situation of domestic and foreign research, the research objectives and contents are found out. Then, the design principle of expressway dynamic weighing system is studied with the aim of expressway toll station management. The composition and basic working principle of the system are analyzed, and the lane layout and work flow are studied. This paper studies and analyzes the error source of dynamic weighing system of freeway, and chooses the weighing sensor pertinently, at the same time, carries on the research of weighing data collection, transmission scheme design and anti-jamming design. The wavelet transform of dynamic weighing signal and the preprocessing method of dynamic weighing signal are analyzed. The learning algorithm of radial basis function network model related to dynamic weighing processing based on RBF neural network is studied. At the same time, the weighing data is collected, the algorithm flow of RBF neural network in dynamic weighing, the program design and the actual data test are carried out, and the conclusion that RBF neural network is weighing dynamically is obtained. The application of RBF neural network algorithm in expressway dynamic weighing has high accuracy and reliability, and its application and research have a very good application prospect.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：U492.321
本文編號：2217795
[Abstract]:With the deepening of China's reform and opening up, the highway mileage in construction and actual mileage are increasing, which makes the economic development rely on highway traffic increasingly. However, while the number of expressway operation is increasing, some transportation enterprises or individuals carry out overload transportation in order to obtain more economic benefits. This not only brings the danger to the transport vehicles and personnel, but also brings the serious influence to the highway itself. Therefore, the overload of highway management also caused the attention of the relevant management departments. At present, dynamic weighing technology is an important technology for highway management departments to manage overweight, and it is also a hot research content of many research institutions and scholars. It has become an effective measure for highway management departments to carry out overload management. The application of dynamic weighing technology can improve the management level of expressway, reduce the cost of expressway maintenance, and reduce the loss of people, vehicles and roads caused by overloading of vehicles. The purpose of this paper is to study the construction and data processing of highway dynamic weighing system. Through the research of related background and the current situation of domestic and foreign research, the research objectives and contents are found out. Then, the design principle of expressway dynamic weighing system is studied with the aim of expressway toll station management. The composition and basic working principle of the system are analyzed, and the lane layout and work flow are studied. This paper studies and analyzes the error source of dynamic weighing system of freeway, and chooses the weighing sensor pertinently, at the same time, carries on the research of weighing data collection, transmission scheme design and anti-jamming design. The wavelet transform of dynamic weighing signal and the preprocessing method of dynamic weighing signal are analyzed. The learning algorithm of radial basis function network model related to dynamic weighing processing based on RBF neural network is studied. At the same time, the weighing data is collected, the algorithm flow of RBF neural network in dynamic weighing, the program design and the actual data test are carried out, and the conclusion that RBF neural network is weighing dynamically is obtained. The application of RBF neural network algorithm in expressway dynamic weighing has high accuracy and reliability, and its application and research have a very good application prospect.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：U492.321
【參考文獻】
中國期刊全文數(shù)據(jù)庫 前10條
1 巫業(yè)山;;彎板式稱重傳感器在計重收費系統(tǒng)中的應(yīng)用[J];衡器;2008年01期
2 張慧鵬;師帥兵;張曉娟;;車輛非線性懸架系統(tǒng)動態(tài)特性[J];拖拉機與農(nóng)用運輸車;2007年02期
3 張春芳;;高速公路收費方式探討[J];交通世界(運輸·車輛);2006年Z1期
4 樊葉華;楊軍;王建偉;;澆注式瀝青混凝土硬度試驗分析[J];中外公路;2006年01期
5 劉峰;;超限超載運輸?shù)奈：陀嬛厥召M的實施[J];交通世界(運輸·車輛);2005年12期
6 胡小弟,孫立軍;重型貨車輪胎接地壓力分布實測[J];同濟大學(xué)學(xué)報(自然科學(xué)版);2005年11期
7 楊衛(wèi)東;劉亞蒙;;動態(tài)稱重系統(tǒng)的標準與規(guī)范[J];中國公路;2005年01期
8 賀曙新;車輛動態(tài)稱重技術(shù)的歷史、現(xiàn)狀與展望[J];中外公路;2004年06期
9 李揚;國外汽車超載治理技術(shù)的發(fā)展及應(yīng)用[J];交通標準化;2004年09期
10 洪秀敏;;公路超限運輸?shù)牧笪：J];中國公路;2002年15期
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