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野明金蟲 (小有名氣)
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[求助]
尋求高手幫忙翻譯一段文獻(xiàn),感激不盡
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船舶行業(yè)能耗管理云服務(wù)平臺及其數(shù)據(jù)挖掘的應(yīng)用 針對國內(nèi)某造船廠整體以及重點設(shè)備能耗特點研究分析,發(fā)現(xiàn)該造船廠用能散亂,能源多級分布,管理層無法精確統(tǒng)計每個生產(chǎn)車間以及高能耗設(shè)備的具體能耗數(shù)據(jù),因此無法發(fā)現(xiàn)能耗的漏洞,導(dǎo)致該船廠能耗逐年上漲。在此基礎(chǔ)上提出船舶行業(yè)能耗管理云服務(wù)平臺及其數(shù)據(jù)挖掘的應(yīng)用,詳細(xì)闡述了能耗管理云服務(wù)平臺的整體架構(gòu)以及能夠解決該船廠的實際需求,論述了數(shù)據(jù)挖掘技術(shù)在該能耗管理平臺中的運用以及所取得的成效。 |

金蟲 (小有名氣)
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僅供參考的說~ Shipping industry energy consumption management cloud services platform and data mining application According to the research and analysis on the overall and key equipment energy consumption characteristics of a domestic shipyard, it is found that the shipyard consumes energy scatteredly , and the energy is multilevel distributed. Management layers cannot accurately calculate the concrete energy comsumption data of every production workshop and high energy consuming equipment, so they cannot find the energy comsumption loophole, leading to rising the shipyard’s energy consumption year by year. On this basis, the shipping industry energy consumption management cloud services platform and its data mining application detailedly describe the overall architecture of energy consumption management cloud services platform as well as the ability to resolve actual remands of the shipyard, discuss the application of data mining technology in the energy management platform and the results obtained. |
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