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水產(chǎn)養(yǎng)殖信息化關(guān)鍵技術(shù)研究現(xiàn)狀與趨勢(shì)
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公益性行業(yè)(農(nóng)業(yè))科研專(zhuān)項(xiàng)資金資助項(xiàng)目(201203017)和北京市校共建資助項(xiàng)目


Research Status and Development Trends of Information Technologies in Aquacultures
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    摘要:

    信息化技術(shù)已經(jīng)成為現(xiàn)代漁業(yè)可持續(xù)發(fā)展的重要支撐技術(shù)之一。為了展現(xiàn),、引導(dǎo)與促進(jìn)其在水產(chǎn)養(yǎng)殖環(huán)節(jié)的應(yīng)用水平,,按照信息的屬性與尺度,、養(yǎng)殖活動(dòng)的流程與建模應(yīng)用的層次,,系統(tǒng)分析相關(guān)文獻(xiàn),,對(duì)信息獲取技術(shù)中知識(shí)挖掘,、傳感網(wǎng)絡(luò)的辨識(shí)參數(shù)與其組織形式,、遙感對(duì)區(qū)域水環(huán)境信息與養(yǎng)殖面積變化及其時(shí)空特征獲取與監(jiān)測(cè)的研究現(xiàn)狀進(jìn)行了整理,;并對(duì)比分析了水質(zhì)預(yù)測(cè)與預(yù)警模型,、水產(chǎn)病害診斷中知識(shí)表示模式與推理方法、水產(chǎn)行為的量化與分析方法,、飼料配方及投飼決策模型的建立,、質(zhì)量追溯中感知內(nèi)容與平臺(tái)的構(gòu)建以及養(yǎng)殖中的控制策略與方法。綜述結(jié)果表明,,信息化技術(shù)正向水產(chǎn)養(yǎng)殖業(yè)深層次擴(kuò)散,,逐漸實(shí)現(xiàn)對(duì)水產(chǎn)養(yǎng)殖信息的全面感知與決策支持;信息獲取技術(shù)由人工獲取向依靠感知網(wǎng)絡(luò)和遙感等數(shù)字化智能技術(shù)轉(zhuǎn)變,;信息處理向?qū)<蚁到y(tǒng),、管理系統(tǒng),、決策支持系統(tǒng)、追溯系統(tǒng)和精細(xì)化控制系統(tǒng)等依托人工智能,、信息融合和建模處理的智能化信息系統(tǒng)發(fā)展,;信息化應(yīng)用使養(yǎng)殖活動(dòng)更加強(qiáng)調(diào)和注重信息化思維和管理決策與其運(yùn)作效率、效益的相互適應(yīng),、促進(jìn)與優(yōu)化,。

    Abstract:

    Informationization has become one of the essential emerging technologies,which supports the innovation and sustainable development of modern fishery. In order to promote the application level in aquaculture, the knowledge mining technology, parameter identification and organization forms of perception network, research status of acqusition and monitoring for information of regional water environment, and change of breeding area and its spatial and temporal characteristics were summarised according to the attributes and scale of the information,the flow of farming activities and the hierarchy of modeling and applications. And models of prediciton and early warning of water quality, methodologies of knowledge representation and inference in aquatic desease diagnosis, quantitative and analytic methods of aquatic products’ behaviors, establishments of nutrition formula and feeding decisionmaking system, perception contents and constructions of platform in traceability, and control strategies and methods in aquaculture system were analyzed and compared by systematically summarising and clarifing the literature. The results indicated that the aquaculture industry has been penetrated profoundly by information technologies for comprehensive perception and decision support; the information acquisiton has been transformed from artificial to digital intelligence, such as perception networks and remote sensing; information processing was developing towards the process of modeling: the expert systems, management systems, decision support systems, traceability systems and precision control systems, which were based on artificial intelligence, information fusion and intelligent information system; and the applications of information has also paid more attention to mutual adaptation, promotion and optimization between the thoughts of information and management and aquacultures’ operational efficiency and benefits.

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胡金有,王靖杰,張小栓,傅澤田.水產(chǎn)養(yǎng)殖信息化關(guān)鍵技術(shù)研究現(xiàn)狀與趨勢(shì)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2015,46(7):251-263. Hu Jinyou, Wang Jingjie, Zhang Xiaoshuan, Fu Zetia. Research Status and Development Trends of Information Technologies in Aquacultures[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(7):251-263.

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  • 收稿日期:2015-05-07
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  • 在線發(fā)布日期: 2015-07-10
  • 出版日期: 2015-07-10
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