基于STM32的混合動力推土機遠程監(jiān)控系統(tǒng)的研發(fā)
本文關(guān)鍵詞:基于STM32的混合動力推土機遠程監(jiān)控系統(tǒng)的研發(fā) 出處:《山東大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
更多相關(guān)文章: 推土機 遠程監(jiān)控 拓撲結(jié)構(gòu) 遺傳算法
【摘要】:工程機械對于一個國家的發(fā)展起著至關(guān)重要的作用。隨著科技與社會的共同進步,傳統(tǒng)的工程機械動力系統(tǒng)越發(fā)復(fù)雜,混合動力工程機械越來越多。一般的工程機械的工作環(huán)境較差,經(jīng)常處于長時間工作狀態(tài),因此故障容易發(fā)生。如若機器發(fā)生故障,不僅容易耽誤工程進度,而且容易造成人員傷亡。因此對工程機械如混合動力推土機,進行遠程監(jiān)控勢在必行。本文針對山推某型號混合動力推土機,開發(fā)一套遠程監(jiān)控系統(tǒng),可以實現(xiàn)遠程監(jiān)控推土機工況的功能。此系統(tǒng)可及時的將工作現(xiàn)場的推土機相關(guān)運行參數(shù)通過GPRS傳輸?shù)奖O(jiān)控中心,以此避免一些不必要故障的發(fā)生。在最初的遠程監(jiān)控系統(tǒng)基礎(chǔ)上,想提高其系統(tǒng)性能,可從提高其信息采集速率、提高系統(tǒng)實時性入手。該舉措可以更及時的使技術(shù)人員獲得工作中的推土機的運行參數(shù)。而提高系統(tǒng)實時性,方法眾多,可以借鑒乘用車現(xiàn)在采用的一些新興總線協(xié)議,如Flexray,CAN FD,或者對機械整體進行硬件升級,即采用更加快速的處理器,更加優(yōu)良的傳輸介質(zhì)。但Flexray造價較為昂貴,目前僅用于高端轎車,CAN FD對工程機械信息傳輸?shù)目煽啃詿o法做到像傳統(tǒng)CAN總線一樣穩(wěn)定,此外推土機硬件的整體升級將直接導(dǎo)致制造成本上升,制造難度增大,不利于大面積銷售。本文針對提高數(shù)據(jù)傳輸實時性問題,分析原推土機內(nèi)部總線結(jié)構(gòu),借鑒部分乘用車內(nèi)部網(wǎng)絡(luò)拓撲結(jié)構(gòu)布置辦法,考慮到推土機工作環(huán)境惡劣,在不做較大的硬件改動的情況下,對推土機內(nèi)部各個ECU節(jié)點拓撲結(jié)構(gòu)的優(yōu)化進行切實可行的研究。本文根據(jù)專業(yè)文獻對影響網(wǎng)絡(luò)實時性的因素進行詳細分析,認為降低網(wǎng)絡(luò)負載率可極大提高網(wǎng)絡(luò)實時性。并進一步闡述不同拓撲結(jié)構(gòu)對實時性影響,確定網(wǎng)絡(luò)拓撲結(jié)構(gòu)可由單總線結(jié)構(gòu)優(yōu)化為雙總線結(jié)構(gòu)。根據(jù)實際情況選擇相對應(yīng)的仿真軟件進行網(wǎng)絡(luò)級仿真,仿真對象為CAN單總線和CAN雙總線的網(wǎng)絡(luò)負載對比。接著,用OPNET對推土機內(nèi)部網(wǎng)絡(luò)結(jié)構(gòu)進行建模,模擬出推土機內(nèi)部各個系統(tǒng)之間信息的傳輸過程。為進一步優(yōu)化推土機CAN網(wǎng)絡(luò)拓撲結(jié)構(gòu),提高遠程監(jiān)控系統(tǒng)的信息傳輸速率做了充足的準備。本文還闡述了遺傳算法的相關(guān)知識,列出了使用遺傳算法的具體流程。通過對該推土機內(nèi)部網(wǎng)絡(luò)節(jié)點優(yōu)化問題的合理分析,在Matlab中搭建了關(guān)于降低雙總線網(wǎng)絡(luò)負載率的數(shù)學(xué)模型。并利用該數(shù)學(xué)模型對CAN網(wǎng)絡(luò)雙總線節(jié)點拓撲結(jié)構(gòu)進行優(yōu)化,得出相關(guān)結(jié)果,確定每條總線上的節(jié)點如何分布。最終,對優(yōu)化結(jié)果進行闡述分析,確定合適的優(yōu)化方案。根據(jù)優(yōu)化方案中的節(jié)點布置,在OPNET中搭建半實物仿真實驗?zāi)P推脚_,利用相關(guān)實驗器材進行實驗驗證,取得理想結(jié)果。最后,基于以上的改善措施,提出了該遠程監(jiān)控系統(tǒng)的最終設(shè)計方案。
[Abstract]:Construction machinery plays a vital role in the development of a country. With the progress of science and technology and society, the traditional power system of construction machinery becomes more and more complex. There are more and more hybrid electric engineering machinery. The working environment of general construction machinery is poor and it is often in the state of working for a long time, so the fault is easy to occur. If the machine breaks down, it is not only easy to delay the progress of the project. And it is easy to cause casualties. So it is imperative to remote monitor construction machinery such as hybrid bulldozer. This paper develops a remote monitoring system for a certain type of hybrid bulldozer. The system can realize the function of remote monitoring the working condition of bulldozer. The system can transmit the relevant operation parameters of bulldozer to the monitoring center through GPRS in time. Based on the original remote monitoring system, to improve the performance of the system, we can improve the rate of information collection. To improve the real-time performance of the system. This measure can make the technical staff more timely to obtain the operational parameters of the bulldozer. But to improve the real-time performance of the system, there are many methods. We can learn from some of the emerging bus protocols, such as Flexray can FDD, or upgrade the hardware of the whole machine, that is, using a faster processor. Better transmission media. But the Flexray is more expensive and is currently used only in high-end cars. The reliability of CAN FD for construction machinery information transmission can not be as stable as the traditional CAN bus. In addition, the overall upgrade of bulldozer hardware will directly lead to the increase of manufacturing costs and manufacturing difficulties. This paper analyzes the internal bus structure of the bulldozer and draws lessons from the layout method of the internal network topology of some passenger cars. Considering the bad working environment of bulldozer, without making larger hardware changes. The optimization of topology structure of each ECU node in bulldozer is studied. According to the professional literature, the factors that affect the real-time performance of the network are analyzed in detail. It is considered that reducing the network load rate can greatly improve the real-time performance of the network, and the influence of different topologies on the real-time performance is further expounded. It is determined that the network topology can be optimized from a single bus structure to a double bus structure. According to the actual situation, the corresponding simulation software is selected for network-level simulation. The simulation object is the comparison of network load between CAN single bus and CAN double bus. Then, the internal network structure of bulldozer is modeled by OPNET. In order to optimize the topology of bulldozer CAN network, the information transmission process between various systems within the bulldozer is simulated. Sufficient preparation has been made to improve the transmission rate of remote monitoring system. This paper also describes the relevant knowledge of genetic algorithm. The specific flow chart of using genetic algorithm is listed, and the reasonable analysis of the optimization problem of the internal network node of the bulldozer is given. The mathematical model of reducing the load rate of double-bus network is built in Matlab, and the topology of double-bus node in CAN network is optimized by using the mathematical model, and the relevant results are obtained. Determine how the nodes on each bus are distributed. Finally, the optimization results are described and analyzed, and the appropriate optimization scheme is determined. According to the node layout in the optimization scheme. Build a hardware-in-the-loop simulation experimental model platform in OPNET, use related experimental equipment for experimental verification, and obtain ideal results. Finally, based on the above improvement measures. The final design of the remote monitoring system is presented.
【學(xué)位授予單位】:山東大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TU623.5
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