【摘要】：隨著新的信息技術(shù)和網(wǎng)絡(luò)技術(shù)的發(fā)展,突發(fā)事件與信息技術(shù)耦合,變得更加復(fù)雜,呈現(xiàn)出跨界、交互和不確定的特性,其發(fā)生頻率和影響范圍都出現(xiàn)迅速增長的態(tài)勢。這種情況下,農(nóng)業(yè)應(yīng)急管理信息化面臨最大的考驗就是如何針對突發(fā)事件的即時需求,及時、準(zhǔn)確、快速地進行應(yīng)急組織,協(xié)同各部門和各主體做出應(yīng)急響應(yīng)和處理。而Web服務(wù)組合技術(shù),作為一種資源整合的模式,其核心思想是通過有效地結(jié)合不同功能的Web服務(wù)資源來實現(xiàn)更強大的功能,進而解決更復(fù)雜的問題。因此,Web服務(wù)組合技術(shù)的研究和發(fā)展恰好與農(nóng)業(yè)應(yīng)急管理信息化建設(shè)的需求相契合,能夠為新環(huán)境下的農(nóng)業(yè)應(yīng)急管理提供技術(shù)支持。然而,現(xiàn)有的Web服務(wù)組合方法通常采用預(yù)先定義完整的服務(wù)組合方案方式,難以適應(yīng)在應(yīng)急環(huán)境下用戶需求的不明確性、執(zhí)行過程中的不斷演化性的特征。因此,需要充分考慮服務(wù)組合中和用戶相關(guān)的柔性問題、和資源相關(guān)的柔性以及和服務(wù)所處情境相關(guān)的柔性問題,以提高服務(wù)組合的效率和適應(yīng)性。 本論文圍繞服務(wù)組合生命周期中各個階段的柔性需求,對服務(wù)組合的描述、服務(wù)組合的自動生成以及服務(wù)執(zhí)行過程中的動態(tài)調(diào)整進行了研究,主要研究內(nèi)容包括以下幾個方面： (1)提出了一種基于目標(biāo)和情境的服務(wù)本體模型(Goal Context based Ontology Web Language of Services, GC-OWL-S)。該模型從目標(biāo)-情境-服務(wù)三元問題出發(fā),對OWL-S本體進行了擴展和改進,使其不僅包含服務(wù)的基本屬性還包含服務(wù)的需求目標(biāo)標(biāo)注和服務(wù)所依賴情境的屬性,從而更好地刻畫了服務(wù)的領(lǐng)域特性、功能特性和非功能特性,為正確和完備地描述組合服務(wù)和實現(xiàn)柔性服務(wù)奠定了基礎(chǔ)。 (2)針對用戶需求的不確定性和情境的不斷演變性,建立了服務(wù)組合的動態(tài)智能規(guī)劃知識模型,并設(shè)計了相應(yīng)的動態(tài)智能規(guī)劃方法。該模型將服務(wù)生成問題轉(zhuǎn)換為動態(tài)智能規(guī)劃問題,采用兩階段的服務(wù)生成策略,按照用戶目標(biāo)逐步分解和情境信息匹配的方式構(gòu)造一個滿足用戶偏好需求和情境約束的服務(wù)組合方案,實現(xiàn)服務(wù)組合自動化生成的同時也增強了服務(wù)組合的準(zhǔn)確性和靈活性。 (3)在充分分析了服務(wù)組合方案執(zhí)行過程可能出現(xiàn)的異常行為的基礎(chǔ)上,提出一種服務(wù)重定位、重規(guī)劃、重建模的三層次動態(tài)調(diào)整機制,實現(xiàn)了服務(wù)組合方案的動態(tài)調(diào)整和優(yōu)化,以在最大限度上保證服務(wù)組合方案在運行中的靈活性。 (4)在以上研究基礎(chǔ)上,設(shè)計了一個多層次應(yīng)急決策系統(tǒng)框架,該框架涉及應(yīng)急資源的服務(wù)化描述,應(yīng)急行動方案的制定以及行動過程中的調(diào)整,同時也在應(yīng)用層面上驗證了上述方法的有效性和實用性。
[Abstract]:With the development of new information technology and network technology, the coupling of emergency and information technology becomes more complex, showing the characteristics of cross boundary, interaction and uncertainty, and its frequency and influence range are all increasing rapidly. In this case, agricultural emergency management information faces the greatest test is how to meet the immediate needs of emergencies, timely, accurate and rapid emergency organization, and cooperate with various departments and main bodies to make emergency response and processing. As a mode of resource integration, the core idea of Web services composition technology is to realize more powerful functions by effectively combining Web services resources with different functions, and then to solve more complex problems. Therefore, the research and development of Web service composition technology coincide with the needs of agricultural emergency management information construction, and can provide technical support for agricultural emergency management under the new environment. However, existing Web service composition methods usually adopt a predefined and complete service composition scheme, which is difficult to adapt to the uncertainty of user needs in emergency environment and the evolving characteristics of execution process. Therefore, in order to improve the efficiency and adaptability of service composition, it is necessary to fully consider the flexibility problems related to users, resources and situations in service composition. This paper focuses on the flexible requirements of each stage of the service composition life cycle, and studies the description of service composition, the automatic generation of service composition and the dynamic adjustment in the process of service execution. The main contents are as follows: (1) A service ontology model (Goal Context based Ontology Web Language of Services, GC-OWL-S) based on goal and context is proposed. The model extends and improves the OWL-S ontology from the perspective of the object-situation-service ternary problem, so that it includes not only the basic attributes of the service, but also the requirement target annotation of the service and the attributes of the situation on which the service depends. Thus, the domain, functional and non-functional characteristics of services are described better, which lays a foundation for the correct and complete description of composite services and the implementation of flexible services. (2) aiming at the uncertainty of user's demand and the evolving of situation, the dynamic intelligent planning knowledge model of service composition is established, and the corresponding dynamic intelligent planning method is designed. The model transforms the waiter problem into a dynamic intelligent planning problem and adopts a two-stage service generation strategy. According to the way of user goal decomposition and situation information matching, a service composition scheme is constructed to meet the user's preference requirements and situation constraints, which can automate the generation of service composition and enhance the accuracy and flexibility of service composition. (3) based on the analysis of the possible abnormal behavior in the execution process of the service composition scheme, a three-level dynamic adjustment mechanism of service repositioning, replanning and remodeling is proposed. The dynamic adjustment and optimization of the service composition scheme are realized to ensure the flexibility of the service composition scheme in operation to the maximum extent. (4) based on the above research, a framework of multi-level emergency decision-making system is designed, which involves the service description of emergency resources, the formulation of emergency action plan and the adjustment of action process. At the same time, the effectiveness and practicability of the above methods are verified in the application level.
【學(xué)位授予單位】：中國農(nóng)業(yè)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TP393.09

【參考文獻】

相關(guān)期刊論文 前10條

1 張華;王茜;;面向服務(wù)工作流補償機制的研究與實現(xiàn)[J];東南大學(xué)學(xué)報(自然科學(xué)版);2009年01期

2 史銀雪;孫瑞志;向勇;;基于動態(tài)規(guī)劃的柔性工作流[J];東南大學(xué)學(xué)報(自然科學(xué)版);2010年S2期

3 ;農(nóng)業(yè)部關(guān)于印發(fā)《農(nóng)業(yè)應(yīng)急管理信息化建設(shè)總體規(guī)劃(2014—2017年)》的通知[J];中華人民共和國農(nóng)業(yè)部公報;2014年03期

4 ;Hybrid QoS-aware semantic web service composition strategies[J];Science in China(Series F:Information Sciences);2008年11期

5 韓燕波;王洪翠;王建武;閆淑英;張程;;一種支持最終用戶探索式組合服務(wù)的方法[J];計算機研究與發(fā)展;2006年11期

6 唐磊;淮曉永;李明樹;;一種基于上下文協(xié)商的動態(tài)服務(wù)組合方法[J];計算機研究與發(fā)展;2008年11期

7 王竹曉;胡宏;陳立民;史忠植;;動態(tài)描述邏輯推理的并行計算技術(shù)[J];計算機研究與發(fā)展;2011年12期

8 杜宗霞;;服務(wù)組合生命周期研究[J];計算機工程與應(yīng)用;2009年16期

9 陳華;方丁;趙衛(wèi)東;;SOA中業(yè)務(wù)服務(wù)粒度與流程柔性的關(guān)系研究[J];計算機工程與應(yīng)用;2009年27期

10 楊東,張申生;基于"多層日志"的工作流的失敗處理[J];計算機集成制造系統(tǒng)-CIMS;2003年04期

相關(guān)博士學(xué)位論文 前5條

1 秦勝君;復(fù)雜適應(yīng)信息系統(tǒng)體系結(jié)構(gòu)的研究與應(yīng)用[D];大連海事大學(xué);2011年

2 江志雄;基于動態(tài)語義的Web服務(wù)描述[D];復(fù)旦大學(xué);2008年

3 夏永霖;復(fù)合服務(wù)自恢復(fù)關(guān)鍵技術(shù)研究[D];中國科學(xué)技術(shù)大學(xué);2010年

4 翟巖龍;開放網(wǎng)絡(luò)環(huán)境中動態(tài)自適應(yīng)服務(wù)組合技術(shù)研究[D];北京理工大學(xué);2009年

5 伍章俊;云工作流服務(wù)組合與活動調(diào)度策略研究[D];合肥工業(yè)大學(xué);2011年

，

本文編號：2403563