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基于物聯(lián)網(wǎng)的城市河道酸堿度遠程檢測系統的設計
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中國計量大學(xué) 機電工程學(xué)院,中國計量大學(xué) 機電工程學(xué)院

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TP212

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浙江省自然科學(xué)基金(Y14F010075)


Design of the remote monitoring system of pH of urban river based on IOT
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College of Mechanical and Electrical Engineering , China Jiliang University, Hangzhou,

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    摘要:

    隨著(zhù)城市經(jīng)濟的發(fā)展,城市河道水環(huán)境受到了嚴重的污染和破壞,其中水質(zhì)的酸堿度是水質(zhì)污染的一個(gè)重要指標。由于城市河道水質(zhì)污染的不確定性,一套能夠在野外無(wú)人看管的環(huán)境下,多節點(diǎn)多范圍對河道水質(zhì)酸堿度實(shí)時(shí)檢測系統成為一種需求。系統中每個(gè)采集節點(diǎn)連有pH傳感器,采集的pH值數據通過(guò)Zigbee模塊傳給基站,基站將每個(gè)節點(diǎn)的數據與時(shí)間和地點(diǎn)信息綁定存儲到云端數據庫。管理人員可以通過(guò)網(wǎng)頁(yè)隨時(shí)隨地了解當前各區域的水質(zhì)酸堿度情況,如一旦水質(zhì)出現污染,管理人員可以通過(guò)后臺了解水質(zhì)污染的擴散情況和污染源頭,可以及時(shí)采取措施降低損失。該系統的運用與傳統的人工現場(chǎng)取樣帶回實(shí)驗室分析的方法相比,不但極大的提高了預警能力而且還大幅降低人力成本。

    Abstract:

    With the development of urban economy, the water environment of the city river is seriously polluted and destroyed, and the pH of the water quality is an important indicator of the water pollution. Because of the uncertainty of the water pollution in the city river, a set of real-time detection system for the multi node and multi range of the river urban pH is becoming a requirement under the condition of the field unattended. Each detection node connected with a pH sensor, collects data and transmits to the system base station through the Zigbee wireless module, and the base station stores the each node data with its position information and time information to the cloud database. Managers can use the web site to kown the current situation of the water quality of the every region, if the river is polluted, managers can also be aware of the diffusion of water pollution and pollution sources through the data informations, take measures to reduce the loss in time. Compared with the traditional method of artificial field sampling and laboratory analysis, the application of the system not only greatly improve the early warning ability but also reduce the cost of manpower.

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許克杰,何金龍.基于物聯(lián)網(wǎng)的城市河道酸堿度遠程檢測系統的設計計算機測量與控制[J].,2017,25(4):46.

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歷史
  • 收稿日期:2016-11-15
  • 最后修改日期:2016-11-29
  • 錄用日期:2016-11-30
  • 在線(xiàn)發(fā)布日期: 2017-07-18
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