【摘要】：隨著現(xiàn)代科學(xué)技術(shù)的迅猛發(fā)展和人們對生活品質(zhì)要求的提升,室內(nèi)居住環(huán)境的安全、健康以及舒適等問題受到人們越來越多的關(guān)注,人們的健康狀況最直接的影響因子就是室內(nèi)居住環(huán)境質(zhì)量的好壞。本文根據(jù)智能家居的概念,分析了室內(nèi)影響人們安全和健康的環(huán)境因子。比如,由于人們粗心而導(dǎo)致火災(zāi)而引起的安全問題和不適宜的室內(nèi)光照度造成人體不適的健康問題等。針對以上的家居環(huán)境問題,本文設(shè)計(jì)了有助于人們實(shí)時了解家居環(huán)境數(shù)據(jù)信息的監(jiān)測系統(tǒng),采用了集神經(jīng)網(wǎng)絡(luò)和模糊系統(tǒng)兩者優(yōu)點(diǎn)的模糊神經(jīng)網(wǎng)絡(luò)模型對家居環(huán)境進(jìn)行等級評價。本文主要進(jìn)行了以下幾點(diǎn)的研究:(1)結(jié)合家居環(huán)境存在的問題,分析出系統(tǒng)的總體需求:實(shí)時監(jiān)測家居環(huán)境數(shù)據(jù)進(jìn)行環(huán)境評價,為改善家居環(huán)境打下基礎(chǔ);并提出相應(yīng)的解決方案:第一步:對從傳感器采集的數(shù)據(jù)進(jìn)行數(shù)據(jù)清洗、歸一化處理;第二步:T-S模糊神經(jīng)網(wǎng)絡(luò)模型對處理好的數(shù)據(jù)進(jìn)行訓(xùn)練和有效性檢驗(yàn),得到環(huán)境評價等級,實(shí)現(xiàn)對家居環(huán)境的評價。(2)研究了T-S模糊神經(jīng)網(wǎng)絡(luò)。模糊系統(tǒng)具有定性或者模糊表達(dá)知識的優(yōu)點(diǎn),神經(jīng)網(wǎng)絡(luò)具有自適應(yīng)的學(xué)習(xí)能力和容錯能力,本文結(jié)合兩者的優(yōu)點(diǎn),建立了T-S模糊神經(jīng)網(wǎng)絡(luò)家居環(huán)境評價模型,并進(jìn)行了網(wǎng)絡(luò)訓(xùn)練,實(shí)驗(yàn)表明,T-S模糊神經(jīng)網(wǎng)絡(luò)模型比BP神經(jīng)網(wǎng)絡(luò)模型、模糊理論模型更優(yōu)。最后用一個實(shí)例證明了T-S模糊神經(jīng)網(wǎng)絡(luò)模型的有效性。(3)實(shí)現(xiàn)了智能家居環(huán)境數(shù)據(jù)監(jiān)測和評價。根據(jù)家居環(huán)境影響因子,進(jìn)行傳感器、協(xié)調(diào)器等硬件設(shè)計(jì);然后又設(shè)計(jì)了系統(tǒng)的軟件,并用VB開發(fā)了環(huán)境數(shù)據(jù)監(jiān)測界面。在界面中,用戶可以實(shí)時監(jiān)測到各個環(huán)境因子的采樣值、家居環(huán)境評價等級。
[Abstract]:With the rapid development of modern science and technology and the improvement of people's quality of life, people pay more and more attention to the safety, health and comfort of indoor living environment. The most direct influence factor of people's health condition is the quality of indoor living environment. Based on the concept of smart home, this paper analyzes the indoor environmental factors that affect people's safety and health. For example, the safety problems caused by fire caused by carelessness and the health problems caused by inappropriate indoor illumination caused by human discomfort and so on. In view of the above problems of home environment, this paper designs a monitoring system that can help people to understand the household environment data information in real time. The fuzzy neural network model, which combines the advantages of neural network and fuzzy system, is used to evaluate the household environment. This paper mainly carried out the following research: (1) combined with the problems existing in the home environment, analyze the overall needs of the system: real-time monitoring of the household environment data for environmental evaluation, for the improvement of the home environment lay the foundation; At the same time, the corresponding solutions are put forward: the first step: data cleaning and normalized processing of the data collected from the sensor; the second step: the T-S fuzzy neural network model trains and validates the processed data, and obtains the environmental evaluation grade. The evaluation of home environment is realized. (2) T-S fuzzy neural network is studied. Fuzzy system has the advantages of qualitative or fuzzy expression knowledge, and neural network has adaptive learning ability and fault-tolerant ability. In this paper, a T-S fuzzy neural network home environment evaluation model is established. The experiment shows that the T-S fuzzy neural network model is better than the BP neural network model and the fuzzy theory model is better than the T-S fuzzy neural network model. Finally, an example is given to prove the validity of T-S fuzzy neural network model. (3) the intelligent home environment data monitoring and evaluation are realized. According to the influence factors of home environment, the hardware design of sensor and coordinator is carried out, and the software of the system is designed, and the environmental data monitoring interface is developed with VB. In the interface, the user can monitor the sampling value of each environmental factor in real time, and the level of home environment evaluation.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP274;TU855

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