&n兵區bsp; &n快南bsp; 拍又 一日; The current s中知ituation is that花水 smart home is not limited to the 刀窗corresponding functions of老笑 intelligent hom和玩e furnishing such as 作愛switching equipme弟睡nt , regulation and rem些哥ote control . Real intelli能機gent home furnishing n睡窗ot only can realize in體山ter connection , interchange and inter和國 control , but als友的o has to own a 謝事strong learning ability whic水生h can achieve enviro水電nmental regulation ,飛票 atmosphere build內玩ing and health ma但都nagement according to藍我 the users daily living habit 腦裡, interest and hobby , triggering the c學討orresponding functions . On one ha銀愛nd , the nest th有刀ermostat develope遠計d by nest labs which was a smart home&n費東bsp;equipment provider &n物業bsp;purchased early this year 章明 is wiser than the real sma新房rt home equipment 都短of Xiaomi.
秒劇; 話工; &nb訊站sp; &nbs鄉電p; The r化媽eal smart home furnishings are not only上冷 limited to the t遠吧hermostat regulating temperature at時友 home . They include smart lock ,el人章ectric curtain , smart sock吧內et , intelligent switch , intel土訊ligent lighting , smoke detec線上tor , air purifier and back黃報ground music system土黃 . Such instances are l風船egion . In the process of operation , 事高the most important function of the equ笑頻ipment is not controlling , 黑海but the collecting of data , the excha著厭nging of information and th裡跳e conversing of the function . I子行n other words , the real smar國吃t home furnishing faces massive 音拿data processing pr那計oblems.
費鐵 &nb亮信sp; &nb這外sp; &n高制bsp; In the 媽人era of big data , each person i訊務s the contributor to the producing of d議計ata . It is expected that 文妹the amount of information produce志愛d by a common Chinese西討 family till 2020 is equal to half黃還 information storage of a state librar風城y . In the era of internet , br亮樂owsing the web , search化務ing for information , main女身taining social relationship b舊商y QQ and online shoppi你樹ng will produce huge amount of data . 門林In the era of intelligent life , ever女輛y move of people will produce dat和們a and the amount of可兒 data is much more than that on the int工雨ernet .
和能; &n藍近bsp; &n熱拍bsp; 服要; 如空 In the 國不family , the data generated by the u信小sers every move是少 will have a corresponding smart home房站 devices to record 又人, collect and re apply the家聽m in smart home devic農金es after processing , so that they 女河are jointly wiser and得一 more intelligent .
國可; &nb影理sp; &nbs長坐p; 村雜; Intelligent山遠 home furnishing w公裡ill generate big data and 司志it is an important applying 音店field of big data . Otherwise it will車草 likely stagnate 他西. Big data generated at 鐵照home can make intelligent ho從開me furnishing jointly外廠 wiser , but to make effectiv器書e treatment according to t光師he actual situation她文 . It is not to wipe out all data睡不 , but to make effective treatme去房nt according to the actua店舊l situation. Cloud technology wil舊行l play an important role , in 路國fact , cloud and big data als說劇o have very clo藍能se ties. 東木 的地 &n員市bsp; 花靜;
&nbs白微p; 弟舞; 這爸; &nb舊個sp; Cloud computing and big data are th地冷e two sides of a coin. Cloud com票河puting is the basis話個 of big data and big 你農data is a killer 嗎城application of big data . Cloud c購土omputing is the drivi村美ng force for the growth of big data .行公 On the other hand , more a器還nd more data need cloud computing 你熱to deal with , therefore ,數電 cloud computing and data are compl刀愛ementary to each 日村other . If there is no cloud techn嗎吃ology to collect , store ,analyze and 又們transform , the huge amount of data服樹 generated in a family如鐵 will be dis-orderly , messy and土花 useless . It has no 站化positive role in improving the inte行坐lligence of smart home .
舞生; &nb醫老sp; 靜車 時事 &nb少藍sp; Cloud computing gives s站為mart home equipment an unprecede舊區nted computing power and g長音rowth capacity . It can effectivel這要y analyze and memorize at the房鐵 first time the users 務答home intelligent device data and i一會nformation , get 她少the corresponding la綠火w in turn and apply it 歌窗to intelligent devices&哥數nbsp; to enhance the smart effe遠舊ct of smart home equipment .年生
行我 &nb在票sp; &nbs放街p; &n議朋bsp; &nbs我但p; Instead , 購低if you put aside the cloud 員黑, smart home is j土小ust pure smart home devic微飛e . It does not have strong informatio河金n processing capacity and appears 購媽mechanical which can線門 not be regarded as re玩她ally smart . In fact , for a smart低低 home business , even if the equ男高ipment researched , developed and pro員月duced by it is a single product ,姐電 the covering breadth of its ho筆通me range also requires that it have分到 powerful data a劇飛nd information processing abil喝雜ity , so as to 慢事ensure the smooth operation of all th能制e equipment in the follo議木wing period .
&現懂nbsp; &n歌如bsp; 行黑; 雜工 風為; 日開 In the future , clou靜男d computing will p議哥enetrate into every corner of ou廠票r lives inside 看知, triggering the complet門師e change in the v我照arious industries , including health ca商友re , urban planning , energy , 醫靜electronic retail and entertainment i理做ndustry . Smart home頻路 is actually home networ長劇king . Through the cloud co電店mputing , it make離遠s the family soc湖對ial networks , news channels , data ana男路lysis , even government be linke服輛d with each other complet愛輛ely . Under the sup頻子port of cloud , everything 看明is possible . As a massive data proc問亮essing platform , cloud storage , 內秒cloud computing and cloud市輛 technology not only do h科街elp to the stability and re子見liability of smart home , but also play但間 important role in th技靜e overall promoti線關on of smart home .
