本文關(guān)鍵詞：基于智能空間的服務(wù)方法與技術(shù)應(yīng)用研究　出處：《北京科技大學(xué)》2017年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 智能空間 異構(gòu)網(wǎng)絡(luò) 位置預(yù)測(cè) 規(guī)則提取 服務(wù)組合優(yōu)化

【摘要】：智能空間是一個(gè)集用戶、環(huán)境、設(shè)備和服務(wù)為一體的人機(jī)交互系統(tǒng)。目前,智能空間的實(shí)現(xiàn)受以下幾個(gè)方面的制約:異構(gòu)設(shè)備存在交互壁壘,智能設(shè)備資源受限;智能空間的服務(wù)模式缺乏主動(dòng)性和智能性;智能空間服務(wù)中缺乏有效的資源管理和利用手段。本文使用REST風(fēng)格的微服務(wù)技術(shù),融入基于狀態(tài)機(jī)的設(shè)備驅(qū)動(dòng)技術(shù),結(jié)合基于XMPP的信息推送技術(shù),設(shè)計(jì)了智能空間服務(wù)框架。在此基礎(chǔ)上,本文主要的研究?jī)?nèi)容和創(chuàng)新點(diǎn)如下:(1)提出了一種基于模糊粗糙集的智能服務(wù)規(guī)則靜默提取與執(zhí)行方法,以實(shí)現(xiàn)具有用戶個(gè)性化喜好的產(chǎn)生式規(guī)則推理服務(wù)。首先,通過(guò)表驅(qū)動(dòng)的狀態(tài)機(jī),把歷史用戶數(shù)據(jù)用狀態(tài)表表示;其次,使用模糊粗糙集理論對(duì)歷史數(shù)據(jù)表進(jìn)行約簡(jiǎn),把約簡(jiǎn)結(jié)果作為用戶服務(wù)規(guī)則;再次,引入二進(jìn)制蝙蝠算法,用于啟發(fā)式規(guī)則約簡(jiǎn)過(guò)程。通過(guò)改進(jìn)蝙蝠位置更新策略,改進(jìn)了算法性能;最后,使用并改進(jìn)了基于Rete算法的規(guī)則引擎,激活產(chǎn)生式規(guī)則推理過(guò)程,實(shí)現(xiàn)和諧的用戶個(gè)性化服務(wù)。實(shí)驗(yàn)結(jié)果表明,本文方法能夠在無(wú)需用戶主動(dòng)干預(yù)的情況下,快速準(zhǔn)確提取用戶個(gè)性化服務(wù)規(guī)則,提升了智能空間服務(wù)的特異性和舒適性。(2)提出了一種基于云模型的用戶位置追蹤節(jié)能算法,以有效減少智能空間服務(wù)過(guò)程的能源消耗。首先,針對(duì)無(wú)線傳感器網(wǎng)絡(luò)定位產(chǎn)生的能源開(kāi)銷過(guò)大問(wèn)題,提出預(yù)測(cè)用戶移動(dòng)軌跡,智能地激活-休眠相關(guān)傳感器的方法,來(lái)減少傳感器能耗;其次,提出使用云模型描述用戶的移動(dòng)特點(diǎn),來(lái)預(yù)測(cè)用戶位移序列;再次,針對(duì)計(jì)算量隨時(shí)間增加和計(jì)算資源有限這一矛盾,提出增量式迭代計(jì)算方法,減少計(jì)算量;最后,利用質(zhì)心定位方法計(jì)算用戶位置。實(shí)驗(yàn)結(jié)果表明,本文算法有效減少了定位服務(wù)的能源消耗,提高了系統(tǒng)的定位追蹤性能,實(shí)現(xiàn)了智能服務(wù)感知的綠色節(jié)能。(3)提出了一種基于改進(jìn)人工蜂群算法的具有QoS保證的復(fù)雜服務(wù)快速選擇算法,以有效改善智能空間組合服務(wù)的搜索速度和精度。首先,將服務(wù)選擇問(wèn)題抽象為整數(shù)規(guī)劃問(wèn)題,使用服務(wù)QoS指標(biāo)計(jì)算用戶滿意度,并加入懲罰因子,將多目標(biāo)優(yōu)化問(wèn)題轉(zhuǎn)化為單目標(biāo)優(yōu)化;其次,使用人工蜂群算法解決組合服務(wù)尋優(yōu)過(guò)程的"組合爆炸"問(wèn)題;再次,提出了交叉選擇因子,并通討論了其設(shè)計(jì)策略,從而提高算法收斂速度和收斂精度;最后,分析了算法收斂性,給出了算法步驟。實(shí)驗(yàn)結(jié)果表明,本文算法能夠有效提高服務(wù)組合的搜索速度和精度,提高用戶對(duì)組合服務(wù)的主觀滿意度。最后,將本文研究的面向智能空間的服務(wù)技術(shù)與方法,融入到智能家居環(huán)境與智能養(yǎng)老社區(qū)環(huán)境中,進(jìn)行相關(guān)示例應(yīng)用。實(shí)驗(yàn)結(jié)果表明,本課題的研究成果為智慧家庭、智慧社區(qū)走入人們的生活做出了貢獻(xiàn),為智能空間的研究提供了有效的支撐平臺(tái)。
[Abstract]:Smart space is a set of users, environment, man-machine interaction system of equipment and services as a whole. At present, intelligent space is restricted by the following aspects: heterogeneous devices exist interaction barriers, smart devices with limited resources; smart space service mode lack of initiative and intelligence; intelligent space in lack of effective resource management service and by means of using the REST technology. The micro service style, into the driving technology of state machine equipment based on combination of XMPP information push technology based on the design of intelligent space service framework. On this basis, the main research content and innovation are as follows: (1) this paper proposes a fuzzy rough set intelligent service rules extraction method based on silence and execution, to achieve a user preference generative rule reasoning service. First of all, through the state machine table driven, the history of user data Represented by the state table; secondly, using fuzzy rough set theory on historical data table reduction, the reduction of the user service rules; thirdly, introducing the binary bat algorithm, heuristic rules for reduction process. By improving the bat location update strategy, which improves the performance of the algorithm; finally, using the Rete algorithm and rule engine based on improved the activation of generative rules, the reasoning process, realize the personalized service of harmony. The experimental results show that this method can active without user intervention, quickly and accurately extract the personalized service rules of users, enhance the intelligent space service specific and comfort. (2) proposed a cloud user location algorithm the tracking model based on intelligent space services to effectively reduce the energy consumption of the process. Firstly, based on the positioning of wireless sensor network energy cost is too large to ask This problem, predict the user movement trajectory, intelligent activation method of dormancy related sensors, to reduce the energy consumption of sensor; secondly, the characteristics of mobile use cloud model to describe the user, users to predict the displacement sequence; thirdly, according to the amount of computation increases with time and limited computing resources of this contradiction, proposes the calculation method of incremental iteration, reduce the amount of computation; finally, calculate the position of the user using the centroid location method. The experimental results show that this algorithm can effectively reduce the energy consumption of the positioning service, improve the system tracking performance, realizes the green energy-saving intelligent service perception. (3) proposed an improved artificial bee colony algorithm has fast complex QoS service guarantee the selection algorithm based on intelligent space to improve the search speed and accuracy of composite service. First, the service selection problem into an integer programming problem, the use of Q services The calculation of user satisfaction index oS, and add the penalty factor, the multi-objective optimization problem is transformed into a single objective optimization; secondly, the use of artificial bee colony algorithm to solve the service composition optimization process the combinatorial explosion problem; again, put forward the cross selection factor, and discusses its design strategy, so as to improve the convergence speed and convergence finally, the analysis accuracy; the convergence of the algorithm, the algorithm steps are given. The experimental results show that this algorithm can effectively improve the service combination of search speed and accuracy, improve the user of the composite service subjective satisfaction. Finally, the technology and method of service oriented smart space research, integrated into the smart environment and Home Furnishing intelligent pension community environment, for example application. The experimental results show that the research results for the smart home, smart community into people's life to make a contribution to wisdom The research of energy space provides an effective support platform.

【學(xué)位授予單位】：北京科技大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP18;TP11

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 嚴(yán)志雁;陳桂鵬;蘇小波;鄭立平;吳輝;丁建;;基于XML和WebService的農(nóng)產(chǎn)品溯源數(shù)據(jù)交換技術(shù)設(shè)計(jì)與應(yīng)用[J];江西農(nóng)業(yè)學(xué)報(bào);2016年11期

2 郭淳學(xué);趙文銀;;未來(lái)物聯(lián)網(wǎng)及其核心技術(shù)[J];中國(guó)科技產(chǎn)業(yè);2016年10期

3 張達(dá)勇;;物聯(lián)網(wǎng)時(shí)代的智慧養(yǎng)老平臺(tái)[J];中國(guó)公共安全;2015年17期

4 王江榮;羅資琴;文暉;黃建華;;基于粗糙集的多項(xiàng)logistic回歸模型在油層識(shí)別中的應(yīng)用[J];工業(yè)儀表與自動(dòng)化裝置;2015年03期

5 徐婕;郭明;;基于相對(duì)細(xì)化量的粗糙集屬性約簡(jiǎn)算法[J];計(jì)算機(jī)科學(xué);2015年S1期

6 劉亞魁;;工業(yè)現(xiàn)場(chǎng)總線及智能電網(wǎng)應(yīng)用[J];可編程控制器與工廠自動(dòng)化;2015年05期

7 陳海明;崔莉;;面向服務(wù)的物聯(lián)網(wǎng)軟件體系結(jié)構(gòu)設(shè)計(jì)與模型檢測(cè)[J];計(jì)算機(jī)學(xué)報(bào);2016年05期

8 李春艷;唐四元;;空巢老人傷害研究進(jìn)展[J];中國(guó)老年學(xué)雜志;2015年03期

9 袁博;洪寧;;基于移動(dòng)錨節(jié)點(diǎn)的無(wú)線傳感網(wǎng)RSSI定位改進(jìn)算法[J];信息通信;2015年01期

10 楊志和;;物聯(lián)網(wǎng)的邊界計(jì)算模型:霧計(jì)算[J];物聯(lián)網(wǎng)技術(shù);2014年12期

相關(guān)博士學(xué)位論文 前3條

1 吳陳沭;基于群智感知的無(wú)線室內(nèi)定位[D];清華大學(xué);2015年

2 許楠;基于本體的上下文感知計(jì)算關(guān)鍵技術(shù)研究[D];大連海事大學(xué);2015年

3 謝偉凱;智能空間關(guān)鍵支撐技術(shù)的研究[D];清華大學(xué);2003年

相關(guān)碩士學(xué)位論文 前2條

1 李健;智能空間下基于參數(shù)驅(qū)動(dòng)機(jī)制的服務(wù)任務(wù)規(guī)劃問(wèn)題研究[D];山東大學(xué);2014年

2 謝侃;基于IGRS閃聯(lián)協(xié)議的智能組網(wǎng)方法研究及應(yīng)用[D];華南理工大學(xué);2010年

，

本文編號(hào)：1401420