本文選題：NI無線傳感器網(wǎng)絡(luò) + 室內(nèi)環(huán)境監(jiān)測�。� 參考：《浙江師范大學(xué)》2014年碩士論文

【摘要】：隨著社會生產(chǎn)力的發(fā)展以及生活質(zhì)量的提高,人們對生活品質(zhì)的要求越來越高,也越來越關(guān)注與日常生活工作息息相關(guān)的室內(nèi)環(huán)境。無線傳感器網(wǎng)絡(luò)的快速發(fā)展改變著人類與自然界的交互方式,提升了人類在信息獲取、傳輸和處理方面的能力。其技術(shù)也越來越成熟,NI (National Instruments,即美國國家儀器)公司在無線傳感器網(wǎng)絡(luò)方面做得非常出色,它的傳感器節(jié)點(diǎn)產(chǎn)品具有低功耗、簡單易用、高性價(jià)比等優(yōu)點(diǎn)。將NI無線傳感器網(wǎng)絡(luò)應(yīng)用到室內(nèi)環(huán)境監(jiān)測系統(tǒng)中,會更有利于系統(tǒng)對環(huán)境參數(shù)的及時(shí)采集、傳輸和處理。有效的室內(nèi)環(huán)境監(jiān)測系統(tǒng)可以為實(shí)現(xiàn)室內(nèi)環(huán)境的調(diào)控提供可靠依據(jù)。本文開發(fā)的室內(nèi)環(huán)境智能監(jiān)測與舒適度評判系統(tǒng),是在NI無線傳感器網(wǎng)絡(luò)的基礎(chǔ)上搭建的。該系統(tǒng)通過對室內(nèi)溫度、煙霧、火焰的監(jiān)測,進(jìn)行火災(zāi)險(xiǎn)情的判斷：通過對CO(一氧化碳)和甲醛的監(jiān)測,進(jìn)行有害氣體是否超標(biāo)的判斷；通過對溫度、濕度、噪聲、及光照度的監(jiān)測,并結(jié)合模糊理論對室內(nèi)環(huán)境舒適度進(jìn)行評判。本文的主要研究工作如下：首先,設(shè)計(jì)室內(nèi)環(huán)境監(jiān)測系統(tǒng)的總體方案,并基于NI無線傳感器網(wǎng)絡(luò)進(jìn)行硬件平臺的搭建。選取合適的傳感器和相應(yīng)的接口電路,對環(huán)境參量信息進(jìn)行采集,完成火災(zāi)監(jiān)測、有害氣體監(jiān)測及環(huán)境舒適度監(jiān)測三個(gè)子系統(tǒng)的搭建。其次,利用LabVIEW軟件進(jìn)行可視化界面編程設(shè)計(jì),并利用NI無線傳感器網(wǎng)絡(luò)實(shí)現(xiàn)采集數(shù)據(jù)的傳輸和遠(yuǎn)程監(jiān)控。對采集到的數(shù)據(jù)分三個(gè)單元進(jìn)行處理和控制：火災(zāi)監(jiān)測單元判斷室內(nèi)是否有火災(zāi)險(xiǎn)情的發(fā)生,當(dāng)有火災(zāi)發(fā)生時(shí)發(fā)出警報(bào)并短信通知用戶；有害氣體監(jiān)測單元監(jiān)測有害氣體是否超標(biāo),超標(biāo)時(shí)發(fā)出語音提醒并短信通知用戶；環(huán)境舒適度單元對當(dāng)前環(huán)境參數(shù)加以采集,并以指示燈的形式對結(jié)果進(jìn)行標(biāo)示。然后,基于模糊理論建立室內(nèi)環(huán)境舒適度評判系統(tǒng)。結(jié)合資料和實(shí)驗(yàn)數(shù)據(jù)確定溫濕度的隸屬度函數(shù),并根據(jù)溫度和濕度對人體熱舒適度的影響比重,建立熱環(huán)境舒適度的評判模型；結(jié)合資料和實(shí)驗(yàn)數(shù)據(jù)分別選用Sigmoid型、高斯型隸屬函數(shù)建立聲環(huán)境舒適度、光環(huán)境舒適度的評判模型；選取本系統(tǒng)中的溫度傳感器、濕度傳感器、噪聲傳感器、光照傳感器四種監(jiān)測傳感器的測量值組成綜合評判系統(tǒng)的因素集,將室內(nèi)環(huán)境舒適度的評判集分為舒適、較舒適和不舒適三種程度,確立因素集到評判集的單因素評判函數(shù),并結(jié)合層次分析法和1-9標(biāo)度法求解不同的因素對最終評判結(jié)果影響的權(quán)重向量,從而建立室內(nèi)環(huán)境舒適度的綜合評判模型。最后,對整個(gè)監(jiān)測系統(tǒng)進(jìn)行調(diào)試,并對室內(nèi)的熱環(huán)境、光環(huán)境、聲環(huán)境以及整體環(huán)境舒適度評判模型的準(zhǔn)確性進(jìn)行測試。
[Abstract]:With the development of the social productive forces and the improvement of the quality of life, the demands for the quality of life are becoming higher and higher, and more and more attention is paid to the indoor environment which is closely related to daily life. The rapid development of wireless sensor networks has changed the interaction between human and nature, and promoted the information acquisition, transmission and processing of human beings. Its ability. Its technology is becoming more and more mature, NI (National Instruments, the United States National Instrument) company has done very well in wireless sensor network. Its sensor node products have the advantages of low power consumption, easy to use, high cost performance and so on. The application of NI wireless sensor network to the indoor environment monitoring system will be more conducive to the system. The effective indoor environment monitoring system can provide reliable basis for the control of indoor environment. The intelligent monitoring and comfort evaluation system of indoor environment developed in this paper is built on the basis of NI wireless sensor network. The system passes indoor temperature, smoke, flame. Monitoring of the fire danger: through the monitoring of CO (carbon monoxide) and formaldehyde, the judgment of whether the harmful gas exceeds the standard; through the monitoring of temperature, humidity, noise and illumination, and the evaluation of indoor environment comfort with the fuzzy theory. The main research work of this article is as follows: first, design the indoor environment. Monitor the overall plan of the system, and build the hardware platform based on NI wireless sensor network. Select the appropriate sensor and corresponding interface circuit, collect the information of the environment parameters, complete the building of three subsystems of fire monitoring, harmful gas monitoring and environmental comfort monitoring. Secondly, use LabVIEW software to visualize. The design of interface programming, and the use of NI wireless sensor network to realize the transmission and remote monitoring of data acquisition. Processing and controlling the collected data divided into three units: the fire monitoring unit determines whether there is a fire danger in the room, alarm when there is a fire and notify the user by short message; the monitoring unit of the harmful gas monitoring unit. If the harmful gas exceeds the standard, it sends out the voice reminder and messages to the user when it exceeds the standard; the environment comfort unit collects the current environment parameters and marks the result with the form of the indicator light. Then, based on the fuzzy theory, the indoor environment comfort evaluation system is set up. The connection data and experimental data are used to determine the membership degree of the temperature and humidity. Function, and according to the influence of temperature and humidity on the human thermal comfort degree, establish the evaluation model of the comfort degree of the thermal environment; combine the data and the experimental data to select the Sigmoid type and Gauss type membership function to establish the evaluation model of the comfort degree of the sound environment and the light environment comfort, and select the temperature sensor, humidity sensor and noise in this system. A factor set of the comprehensive evaluation system is composed of four kinds of monitoring sensors, such as acoustic sensor and light sensor. The evaluation set of indoor environmental comfort is divided into three kinds of comfort, comfort and discomfort, and the single factor evaluation function is set up to the evaluation set, and the most different factors are solved by the layer analysis method and the 1-9 scale method. Finally, the whole monitoring system is debugged and the accuracy of the indoor thermal environment, light environment, sound environment and the overall environmental comfort evaluation model are tested.

【學(xué)位授予單位】：浙江師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP274;TP212.9;TN929.5

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