Fossil fuel power plant : unit plant demand development drum type 礦物燃料發(fā)電廠:單位自用量的研究鼓型
Thermotechnical automatic control of unit plant with larger capacity and higher parameters 大容量高參數(shù)單元機組熱工自動控制
In the process of the actual unit plant design , the ways of the actual system , the running picture and the switch principle have been given . 3 . smith predictive method to solve the delay problem of feed - coal machine has been discussed , which has excellent effect 3 .為進一步解決單元機組運行過程中鍋爐的慢特性,探討了用smith -預估的方法來解決給煤機系統(tǒng)中的大遲延問題,取得了較好的效果。
This paper , on the basis of yuelu - mountain high - tech park in changsha city , beginning with the investigation of diversiform transit - trip in the park , firstly analyzes and evaluates space - time change law of traffic flow and situation of traffic service level on actual road net - work in the park ; secondly , applying multi - statistical analysis method , taking investigated corporation as sample , using annual freight traffic volume produced by unit plant area of the corporation , with clustering analysis , obtains four sorts of the sample corporation , and establishes the predict models of freight traffic volume for every kind of corporation . with these models , actual or planning year ’ s day maximum freight traffic volume can be predicted . the third , this paper makes analysis research of trip law of employees in the park , and obtains the index of trip times , trip modes and trip development trend of the employees 本文以長沙市岳麓山高科技園區(qū)為依托,從調查園區(qū)內的各類交通出行開始,首先分析評價了園區(qū)內現(xiàn)狀道路網(wǎng)上的交通流時空變化規(guī)律及道路網(wǎng)上的交通服務水平狀況;其次是應用多元統(tǒng)計分析方法,以調查企業(yè)為樣品,以企業(yè)單位車間面積所產生的年貨運交通量為變量,通過聚類分析,獲得了樣本企業(yè)的四個類別,并建立了各類企業(yè)貨運交通量的預測模型,應用這些模型,可預測園區(qū)內現(xiàn)狀或規(guī)劃年的日最大貨運交通量;第三是對園區(qū)內企業(yè)員工的出行規(guī)律做了分析研究,獲得了企業(yè)員工的出行次數(shù)、出行方式及出行發(fā)展趨勢等等特性指標;最后是對園區(qū)內小區(qū)居民的出行狀況進行了分析,獲得了居民出行的諸如高峰時段、高峰出行量等等的特征數(shù)據(jù)。