Study On The Carrying Capacity Of Railway Technical Station

With the development of the transportation market and the railway freight transportation reform,Chinese railways face both challenges and new opportunities,and the carrying capacity of technical station need to satisfy the more and higher requirements.Owing to the complicated railway station system,carrying capacity of railway technical station is disrupted by various influencing factors.During the simulation,it is difficult to consider all the factors and get the real carrying capacity.Therefore,in order to make full use of equipment in the technical station and enhance the efficiency of technical station transportation and production,it has important significance to study the carrying capacity of railway technical station and its influencing factors under certain conditions.Based on the present achievements,this thesis in detail analyzes the main influential factors of carrying capacity of technical station,and studies on the improved algorithm of carrying capacity of technical station to make the result physical.The thesis mainly includes the following contents:Analyzing operation process of all the trains in technical station,the thesis summarizes the main influential factors of carrying capacity of technical station.Including the existing equipment within the station,number and type of the trains,equalization degree of train arrival and departure,organization of the station operation and other factors.Applying gray relationship analysis to establish a gray relation analysis model of carrying capacity,and analyze the affects of operation time on carrying capacity.Based on the influence factors of carrying capacity of technical station,the thesis studies on the occupation time standard and leisure coefficient.Weakening treatment of raw data sequence of the occupation time to reduce and eliminate the influence of interference factors.Under certain confidence level,the weakened occupation time data is conducted with interval estimation.Regarding the interval of data as grey number and using the degree of grayness to represent the precision of interval,which can make the balance between precision and accuracy for the interval presentation of station capacity.Summarizing and quantitatively analyzing the influence the main influential factors of the leisure coefficient.And applying grey interval-number relationship decision-making to acquire the value of leisure coefficient.The problem is transformed into an optimal scheme issue under the condition of the known attribute value to each scheme,and the result is more reasonable.