【正文】 匪淺。當(dāng)然通過自己的努力及老師和同學(xué)的幫助最終完成了本次設(shè)計。我的題目是基于單片機(jī)控制的無線電子廣告牌，設(shè)計實現(xiàn)了PC機(jī)通過無線的方式發(fā)送信息，單片機(jī)控制LED 點陣顯示接收到信息，將LED 點陣擴(kuò)大以及程序稍微改動過后就可以用于一般的商場打廣告或者某些場所作為指示路標(biāo)。通過這次畢業(yè)設(shè)計，我也學(xué)到了不少課本上面沒有的知識，也鍛煉了自己的動手能力，同時也克服了不少困難：首先，之前學(xué)習(xí)與使用的是Protel99作為畫圖軟件，本次設(shè)計中在同學(xué)及自己的努力下學(xué)會了使用Altium Designer畫圖，并且最后能夠比較熟練的獨立使用Altium Designer畫出原理圖，最重要的是學(xué)會了利用Altium Designer自動生成PCB圖。在調(diào)試的時候遇到很多的問題，經(jīng)過向老師和同學(xué)請教最后還是解決了。經(jīng)過這次畢業(yè)設(shè)計我感到自己對以前學(xué)習(xí)到的知識還沒有比較深刻的理解，有的東西以前覺得學(xué)得差不多了，但是在使用的時候老是遇到很多細(xì)節(jié)上面的問題。所以還有很多需要提高的地方。致 謝為期一學(xué)期的畢業(yè)設(shè)計終于完成了，在此我要感謝我的指導(dǎo)老師王大軍老師，他在我整個畢業(yè)設(shè)計完成過程中給了我很大的幫助。剛拿到畢業(yè)設(shè)計題目正感到迷茫時王大軍老師就抽時間給我們細(xì)心講解每個人該怎么做，需要做什么。在之后的時間里，王大軍老師有規(guī)律地給我們安排了指導(dǎo)時間，在指導(dǎo)中給了我許多寶貴的意見，并且王大軍老師在指導(dǎo)中平易近人、幽默風(fēng)趣，這讓我也自如地和他交流。所以我的畢業(yè)設(shè)計能夠順利完成少不了王大軍老師的指導(dǎo)，在此向王大軍師致以崇高的敬意和真摯的感謝。光陰似箭，歲月如梭。將近四年的大學(xué)生活即將結(jié)束。此刻我激動的心情難以平復(fù)。在這里首先要感謝父母對我的養(yǎng)育之恩，以及給位專業(yè)老師對我的教誨，感謝他們傳授我各種專業(yè)知識。同時，我還要感謝我的輔導(dǎo)員老師陸文穎，感謝她對我生活和學(xué)習(xí)上面的幫助。當(dāng)然在本次畢業(yè)設(shè)計中還有許多幫助過我的同學(xué)和研究生師兄，每當(dāng)遇到我要自己不能解決的問題的時候，他們總能細(xì)心地指導(dǎo)我、幫助我，哪怕告訴我應(yīng)該去什么地方找資料。所以在此我也謝謝你們，我可愛的同學(xué)們。希望你們一切順利。參考文獻(xiàn)[1] 劉寶亮．LED將成為未來電視發(fā)展趨勢[N]．中國經(jīng)濟(jì)導(dǎo)報．20090430[2] Wang C，Sohraby K，Li B, et al. 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Therefore, it is apparent thatoptimal energy management is one of the most important challenges in WSN development. However, energymanagement requires indepth knowledge and detailed insight concerning specific scenarios. After Carryingout a large number of experiments in precision agriculture, we find that it is the sensors that have never beenconcerned consuming the most energy of the node. In order to conserve energy and prolong the lifetime ofWSN, we design and carry out a dynamic energy management strategy for sensors. The basic idea is to shutdown all sensors’ power when not needed and wake them up when necessary. Valuable conclusions areextracted and analyzed.Keywords: WSN (Wireless Sensor Network), Precision Agriculture, Dynamic Energy Management, TinyOS1. Introduction A large number of intelligent microsensor nodes withsensing, processing and wireless municating capabilities form wireless sensor network (WSN), which pletes plicated tasks in some specific field, such as precision agriculture. Compared with old methods, WSN has significantly drawn extensive attention. It does not rely on fixed infrastructure and has many characteristics such as fast setup, strong survivability and so on [1]. It has been considered as a good scheme to conduct precision agriculture data collection and processing. In 2002,Intel has a project looking at how WSN can be used toimprove grape production. They worked with agricultural scientists on a longterm deployment of WSN in awine grape vineyard. By densely monitoring and analyzing they found the relationship between grape qualityand climatic conditions. It has been proved that WSNcould play a role in precision agriculture. Just the same as other applications, energy constraint of sensor nodes is the major problem for precision agriculture. Data aggregation [2] and low power listening [3]algorithms are effective method to reduce energy consumption in normal wireless sensor networks. However,after a sufficient number of experiments we found thatenergy consumption in precision agriculture has somespecial issues. Generally speaking, in order to monitorthe growth conditions of crops, one node has to connectwith many sensors, such as Co2 sensor, air temperature sensor, air humidity sensor, light sensor, soil temperature/moisture sensor and so on. Although the sensorsconsume a large portion of the energy, we never pay any attention to this issue in our previous research. It is necessary to reduce the energy consumption of design and carry out a sensor dynamic energy management (SDEM) to reduce energy consumption of sensors and extend network lifetime. The basic idea is to shut down sensors when not needed and wake them up when necessary [4,5]. The experimental results indicate that SDEM is an effective technique in reducing node energy consumption without significantly degrading performance. The remainder of this paper is organized as 2 gives the energy consumption of all parts of the sensors in precision agriculture. And we get a conclusion that the sensors consume most of the energy. The architecture of the SDEM is described in Section 3, and Section 4 reports