warning net 中文意思是什麼
warning net
解釋
警報網路-
There must be a marine casualty happened every 4 days before 1984, the amount of marine casualty happened at this area corresponds to 1 / 7 amount of the whole changjiang " marine casualty, so mariners gave it a name as " mouth of tiger ". due to the specific geographical condition and the extremely representative vessel traffic management of changjiang yingongzhou channel section, many intelligent people began researching and practicing the vessel traffic management of this changjiang " s down - stream complicated channel section from 1980s, at dec 15th 1984 the authority at that time - changjiang yingongzhou channel section previously ; up to the last years of 1980s ministry management administration applied traffic control on changjiang yingongzhou channel section previously, up to the last years of 1980s ministry of communications assigned shanghai marine college, shanghai ship & shipping research institute and changjiang harbor superintendence administration to make feasibility demonstrate about modern vts of zhenjiang traffic control section ; in 1990 dasha radar station which is the first radar vts station with inner river was finished, groped a new way for applying modern radar traffic control of vessel traffic management ; in 1997 the vtms of changjiang " s down - stream from nanjing to liuhekou was completed with connecting net and came into operation formally, meanwhile the signals of dasha radar station were conveyed to vts center by light cable, and then united applying vessel traffic management upon the whole authorized area ; in jun 2001 jiangsu msa made changjiang yingongzhou channel section as the first experimental group of creating " civilized, safe, passable channel activity, updating dasha radar antenna and receive - transmitter building closed - circuit television monitor system, setting uo safety warning board, starting navigational route reformation, carrying out united construction
1984以前這里平均每四天就發生一起海損事故，事故數占整個長江的1 7 ，被行船人稱為「老虎口」 。長江尹公洲航段緣其極為特殊的地理區位條件和極具代表性的船舶交通管理，從上個世紀八十年代初就有識之士開始了這個長江下游最復雜航段的船舶交通管理探索和實踐。 1984年11月15日當時的長江航政管理局在長江尹公洲水域率先施行交通管制；到八十年代末交通部委託上海海運學院、上海船舶研究所和長江港監局聯合開展鎮江交通管制段建立現代化交管系統的可行性論證； 1990年大沙雷達站? ?內河第一座雷達交管站建成，摸索實施現代化雷達交管的船舶交通管理新途徑； 1997年長江下游南京至瀏河口船舶交通管理系統建成聯網投入正式運行，同時將大沙交管雷達信號通過光纜傳輸至交管中心，統一實施全轄區船舶交通管理； 2001年6月江蘇海事局將長江尹公洲航段作為第一批創建「文明平安暢通航段」活動試點航段，更新大沙雷達天線和收發機，著手閉路工業電視監控系統建設，設立安全警示牌，啟動航路改革，開展聯合「共建」 。 -
Intelligent gas alarm controlling equipment is organized by the gas warning controller which connects with kinds of point - type detectors, it is convenience to install and net and it can centralizedly control many inspecting points
智能氣體報警控制裝置由氣體報警控制器配接多種點型探測器構成系統，安裝布網方便，對多個監控點集中控制。 -
They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world
在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
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