本文選題：云服務 + 水產(chǎn)養(yǎng)殖　； 參考：《青島科技大學》2017年碩士論文

【摘要】：為解決漁業(yè)信息化低、信息獨立、資源利用率低、漁業(yè)技術推廣困難等問題,本文將云服務模式應用到智慧水產(chǎn)養(yǎng)殖平臺的建設中。平臺將進行漁業(yè)數(shù)據(jù)梳理、整合,并通過網(wǎng)絡向用戶提供在線軟件服務。用戶通過購買平臺的相關服務,就可以滿足自己的需求。該方式將會極大的降低用戶的成本,提高資源利用率。本文對水產(chǎn)養(yǎng)殖云服務平臺的架構進行了研究,提出了基于云服務水產(chǎn)養(yǎng)殖平臺的四層設計架構,包括基礎設施服務層、平臺服務層、軟件服務層和客戶端服務層;對水產(chǎn)養(yǎng)殖的水質監(jiān)控與分析評價體系和知識庫體系進行了研究設計;對平臺的Restful的web服務技術、Jsoup網(wǎng)頁解析技術、自定義word導出技術等關鍵技術進行了研究并給出了解決策略;建立了適合水產(chǎn)養(yǎng)殖的水質標準,并對水質評價方法進行了驗證;闡述了平臺部署的方法及其關鍵步驟;介紹了平臺主要模塊的詳細設計及其實現(xiàn)效果。本文的創(chuàng)新之處在于提出適合水產(chǎn)養(yǎng)殖云平臺建設的四層體系架構;使用Jsoup技術進行網(wǎng)絡資源整合;利用Aspose技術導出自定義word文檔;首次將國家海洋局在陸源入海排污口及其鄰近海域環(huán)境質量監(jiān)測中使用的部分評價方法應用到養(yǎng)殖水質評價中;平臺與政府聯(lián)合,打造政企一體的云服務模式。本文采用優(yōu)秀的軟件開發(fā)技術,深度挖掘水產(chǎn)養(yǎng)殖用戶的需求,打造具有基礎信息服務、養(yǎng)殖水質監(jiān)測與分析評價、智慧診斷等功能的智慧水產(chǎn)養(yǎng)殖云服務平臺。截至到目前,智慧水產(chǎn)養(yǎng)殖云服務平臺已經(jīng)接入山東沿海近20個海洋牧場養(yǎng)殖區(qū)和威海某海參養(yǎng)殖基地。平臺經(jīng)過測試,可以滿足用戶的實際需要,具有推廣意義。
[Abstract]:In order to solve the problems of low informatization, independence of information, low utilization of resources and difficulties in the promotion of fishery technology, this paper applies the cloud service model to the construction of intelligent aquiculture platform.The platform will comb and integrate fishery data and provide online software services to users through the network.Users can meet their needs by buying related services of the platform.This way will greatly reduce the cost of users and improve the utilization of resources.In this paper, the architecture of cloud service platform for aquaculture is studied, and a four-layer design framework based on cloud service platform is proposed, including infrastructure service layer, platform service layer, software service layer and client service layer.The water quality monitoring, analysis and evaluation system and knowledge base system of aquaculture were studied and designed, and the key technologies such as web service technology of Restful platform, web soup web page parsing technology, self-defined word export technology, and so on, were studied, and the solving strategies were given.The water quality standard suitable for aquaculture was established, and the water quality evaluation method was verified; the method and key steps of platform deployment were expounded; and the detailed design and implementation effect of the main modules of the platform were introduced.The innovation of this paper is to put forward a four-layer architecture suitable for the construction of aquiculture cloud platform, to integrate network resources with Jsoup technology, to export custom word documents by using Aspose technology;For the first time, some evaluation methods used by the State Oceanic Administration in monitoring the environmental quality of land-based sewers and adjacent sea areas are applied to the assessment of aquiculture water quality; the platform and the government combine to create a cloud service model integrating government and enterprise.In this paper, excellent software development technology is used to dig the needs of aquaculture users in depth, and a cloud service platform with basic information service, water quality monitoring and evaluation, intelligent diagnosis and so on is built.Up to now, the cloud service platform of intelligent aquaculture has been connected to nearly 20 marine pastures along the coast of Shandong Province and a breeding base of sea cucumbers in Weihai.After testing, the platform can meet the actual needs of users.
【學位授予單位】：青島科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.52;TP393.09

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