本文選題：測(cè)報(bào)系統(tǒng) + 無線傳感器網(wǎng)絡(luò)　； 參考：《浙江理工大學(xué)》2017年碩士論文

【摘要】：隨著物聯(lián)網(wǎng)、高精度傳感器等技術(shù)的逐漸成熟,蟲害測(cè)報(bào)的需求同樣可以得到與時(shí)P6進(jìn)的解決方案,傳統(tǒng)的測(cè)報(bào)方案已經(jīng)遠(yuǎn)遠(yuǎn)不能滿足需要,自動(dòng)化、智能化的蟲害測(cè)報(bào)系統(tǒng)已經(jīng)成為當(dāng)前的迫切需要。針對(duì)這一現(xiàn)狀,基于無線傳感器網(wǎng)絡(luò),同時(shí)借鑒ZigBee星形網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)下的入網(wǎng)協(xié)議理論,研制出一種蟲害測(cè)報(bào)系統(tǒng),該系統(tǒng)能夠?qū)崟r(shí)測(cè)量監(jiān)測(cè)區(qū)域的溫度和濕度以及蟲害數(shù)據(jù),實(shí)現(xiàn)數(shù)據(jù)的實(shí)時(shí)采集、處理、顯示、存儲(chǔ)和查詢等功能。系統(tǒng)主要分為終端、網(wǎng)關(guān)、云服務(wù)器、客戶端四個(gè)部分。實(shí)驗(yàn)結(jié)果分析表明,本文研究的基于無線傳感器網(wǎng)絡(luò)的蟲害測(cè)報(bào)系統(tǒng)具有可行性和實(shí)用性。本文的研究?jī)?nèi)容如下:(1)終端節(jié)點(diǎn)由PIC單片機(jī)、數(shù)據(jù)采集模塊,433MHz無線模塊等組成,該節(jié)點(diǎn)負(fù)責(zé)將采集到的溫濕度數(shù)據(jù),蟲害數(shù)據(jù),存儲(chǔ)到本節(jié)點(diǎn)中,同時(shí)通過433MHz無線模塊自動(dòng)發(fā)送至網(wǎng)關(guān)。(2)網(wǎng)關(guān)節(jié)點(diǎn)由STC單片機(jī)、433MHz無線模塊和GPRS無線模塊組成,該節(jié)點(diǎn)通過433MHz無線模塊匯總終端節(jié)點(diǎn)采集到的數(shù)據(jù),利用GPRS無線模塊與云服務(wù)器中的網(wǎng)絡(luò)調(diào)試助手建立TCP/IP連接,通過GPRS網(wǎng)絡(luò)上傳數(shù)據(jù),達(dá)到了透明傳輸?shù)男Ч?3)云服務(wù)器以阿里云ECS為平臺(tái),包括網(wǎng)絡(luò)調(diào)試助手、WampServer兩部分,其中WampServer提供PHP運(yùn)行環(huán)境及MySQL數(shù)據(jù)庫。網(wǎng)絡(luò)調(diào)試助手接收網(wǎng)關(guān)數(shù)據(jù),以TXT文本格式保存,PHP動(dòng)態(tài)讀取TXT文本數(shù)據(jù),將其轉(zhuǎn)為字符串存儲(chǔ)到MySQL數(shù)據(jù)庫,同時(shí)響應(yīng)客戶端的數(shù)據(jù)請(qǐng)求。(4)客戶端采用動(dòng)態(tài)網(wǎng)頁技術(shù),動(dòng)態(tài)獲取數(shù)據(jù)庫數(shù)據(jù)來刷新當(dāng)前頁面的濕度、溫度和蟲害數(shù)據(jù)以及終端節(jié)點(diǎn)ID等。蟲害數(shù)據(jù)超過設(shè)置的閾值區(qū)間,系統(tǒng)自動(dòng)啟動(dòng)報(bào)警功能,提醒測(cè)報(bào)人員要采取相應(yīng)的滅蟲措施。
[Abstract]:With the maturity of the Internet of things, high-precision sensors and other technologies, the demand for pest forecasting can also be solved with the time P6. The traditional forecasting scheme has been far from meeting the needs. Intelligent pest forecasting system has become an urgent need. In view of this situation, based on wireless sensor network and the theory of network access protocol based on ZigBee star network topology, a pest forecasting system is developed, which can measure the temperature, humidity and pest data in real time. Realize the real-time data collection, processing, display, storage and query functions. The system is divided into four parts: terminal, gateway, cloud server and client. The experimental results show that the pest forecasting system based on wireless sensor network is feasible and practical. The research contents of this paper are as follows: (1) the terminal node is composed of PIC single chip microcomputer, data acquisition module 433MHz wireless module and so on. The node is responsible for storing the collected temperature and humidity data and pest data into the node. At the same time, it is automatically sent to the gateway through 433MHz wireless module. (2) the gateway node is composed of STC single-chip microcomputer 433MHz wireless module and GPRS wireless module. The node aggregates the data collected by terminal node through 433MHz wireless module. Using GPRS wireless module and network debugging assistant in cloud server to establish TCP / IP connection, upload data through GPRS network, achieve the effect of transparent transmission. (3) the cloud server takes Ali cloud ECS as the platform, including two parts of network debugging assistant, WampServer, WampServer provides PHP running environment and MySQL database. The network debugging assistant receives the gateway data, saves the TXT text data in the form of TXT text, dynamically reads the TXT text data, stores the TXT text data into the MySQL database, and responds to the data request of the client. (4) the client adopts the dynamic web page technology. Dynamically obtain database data to refresh the current page humidity, temperature and pest data and terminal node ID. When the data of insect pests exceed the threshold range, the system automatically starts the alarm function and reminds the surveyors to take corresponding measures to control insects.
【學(xué)位授予單位】：浙江理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP212.9;TN929.5

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