Railway transportation enterprise non-traction energy consumption distribution method

Abstract

The application discloses a railway transportation enterprise non-traction energy consumption line division method, which comprises the following steps: classifying railway transportation production units according to energy consumption types; selecting corresponding energy consumption line division and splitting indexes from energy consumption department line division influencing factors for each energy consumption department; performing data cleaning on energy consumption data of each railway transportation enterprise, and classifying according to different energy consumption departments based on different energy categories; determining energy consumption line division data from production data of the railway transportation production units; constructing non-traction energy consumption line division and splitting models of each energy consumption department; and calculating non-traction energy consumption line division and splitting results of each energy consumption department. The railway transportation enterprise non-traction energy consumption line division method takes transportation workload indexes of each department as the basis, realizes non-traction energy consumption splitting of each department to specific lines, solves the problem of inaccurate and non-detailed energy consumption data statistics of each line, and can accurately reflect the actual energy consumption situation of the railway lines.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of railway energy consumption analysis, and particularly relates to a railway transportation enterprise non-traction energy consumption line division method. BACKGROUND

[0002] The rapid development of the railway transportation industry has led to an increase in the number of lines and stations operated by the railway system, an expansion of the road network, and a simultaneous rapid increase in the transportation maintenance production tasks undertaken by each transportation production unit. The energy consumption scale has also expanded, and the high carbon problem caused by energy consumption cannot be ignored. Railway energy consumption is divided into traction energy consumption and non-traction energy consumption. Traction energy consumption refers to the total amount of energy consumed for locomotive traction, and non-traction energy consumption refers to the amount of energy consumption other than traction energy consumption, including energy consumption of related equipment such as heating, ventilation, air conditioning, lighting, signaling, and communication. It is crucial to accurately improve the fine and low-carbon management capabilities of railway transportation and better utilize the comparative advantages of railway green and low carbon. At present, due to the constraints of existing statistical methods and statistical methods, there is a lack of accurate statistical and analysis methods for non-traction energy consumption data of each line. The existing energy consumption statistical results focus on the overall energy consumption statistics and estimation of a certain department, and there is a lack of research on the specific method of dividing non-traction energy consumption of each department to the corresponding line, which cannot provide data support for the "double carbon" work of railway lines. SUMMARY

[0003] In view of the above problems in the prior art, the present application provides a railway transportation enterprise non-traction energy consumption line division method, which uses the transportation workload indicators of each department as the basis to divide the non-traction energy consumption of each department to the specific line, solves the problem of inaccurate and non-fine energy consumption data statistics of each line, and accurately reflects the actual energy consumption situation of the railway line, thereby helping railway transportation enterprises in China to improve the efficiency of railway resources and energy utilization.

[0004] In order to achieve the above-mentioned application purposes, the technical scheme adopted by the present application is as follows:

[0005] A railway transportation enterprise non-traction energy consumption line division method, comprising the following steps:

[0006] Classifying railway transportation production units according to energy consumption types to obtain energy consumption departments corresponding to different energy consumption types;

[0007] Selecting corresponding energy consumption line division and division indicators from the energy consumption department line division influencing factors for each energy consumption department;

[0008] Performing data cleaning on the energy consumption data of each railway transportation enterprise, and classifying the energy consumption data according to different energy consumption departments based on different energy categories to obtain the energy consumption data of each energy consumption department corresponding to various energy categories;

[0009] According to the energy consumption sub-line indicators corresponding to each energy consumption department, the energy consumption sub-line data is determined from the production data of the railway transportation production unit;

[0010] According to the energy consumption sub-line data corresponding to each energy consumption department, a non-traction energy consumption sub-line and split model of each energy consumption department is constructed;

[0011] According to the constructed non-traction energy consumption sub-line and split model of each energy consumption department, and the energy consumption data of various energy categories corresponding to each energy consumption department, the non-traction energy consumption sub-line and split result of each energy consumption department is calculated.

[0012] Further, the non-traction energy consumption sub-line and split model is specifically:

[0013]

[0014] Wherein, q i is the non-traction energy consumption split weight of the i-th line, x i is the energy consumption sub-line data of the i-th line of the energy consumption department, and n is the total number of lines under the jurisdiction of the energy consumption department.

[0015] Further, the calculation method of the non-traction energy consumption sub-line and split result is:

[0016] Q i = Q j *q i

[0017] Wherein, Q i is the non-traction energy consumption split result of the i-th line of the energy consumption department, Q j is the energy consumption data of the j-th energy category corresponding to the energy consumption department, and q i is the non-traction energy consumption split weight of the i-th line.

[0018] Further, the data cleaning of the energy consumption data of each railway transportation enterprise specifically includes:

[0019] The energy consumption data of each railway transportation enterprise is removed from the traction energy consumption data of the locomotive depot;

[0020] Based on different energy categories, the non-traction energy consumption proportion of each energy consumption department is sorted;

[0021] The energy consumption department with non-traction energy consumption proportion greater than or equal to the set threshold is processed in detail;

[0022] The energy consumption department with non-traction energy consumption proportion less than the set threshold is processed in a fuzzy manner.

[0023] Further, the determining the energy consumption sub-line data of each energy consumption department from the production data of the railway transportation production unit according to the corresponding energy consumption sub-line indicators of each energy consumption department specifically comprises:

[0024] determining the line statistical section name of the energy consumption department and the section range corresponding to each line statistical section name according to the production data of the railway transportation production unit;

[0025] traversing the production data of the railway transportation production unit according to the line statistical section name and the corresponding section range, and determining the energy consumption sub-line data corresponding to each line statistical section name;

[0026] merging the energy consumption sub-line data corresponding to each line statistical section name to obtain the energy consumption sub-line data corresponding to the energy consumption department;

[0027] or traversing the production data of the railway transportation production unit according to the energy consumption department name to obtain the energy consumption sub-line data corresponding to the energy consumption department.

[0028] Further, the energy consumption department corresponding to different energy consumption types specifically comprises:

[0029] a locomotive depot, a car depot, a power supply section, a signal section, a power and electrical section, a vehicle depot, a track maintenance section, a passenger transport section, a motor car section, a passenger station and a freight station.

[0030] Further, the energy consumption department sub-line influencing factor specifically comprises:

[0031] locomotive running kilometers, passenger arrival and departure quantity, freight arrival and departure quantity, total weight passing and vehicle kilometers.

[0032] The present application has the following beneficial effects:

[0033] The present application takes the transportation workload indicators of each department as the basis, realizes the division of non-traction energy consumption of each department to specific lines, solves the problem of inaccurate and non-detailed line energy consumption data statistics, can accurately reflect the actual situation of energy consumption of railway lines, and further helps railway transportation enterprises in China to improve the utilization efficiency of railway resources and energy, has the advantages of simple operation, strong universality and the like, and can be popularized and applied to large railway enterprises. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 It is a flowchart of a railway transportation enterprise non-traction energy consumption sub-line method in the embodiments of the present application. DETAILED DESCRIPTION

[0035] The specific embodiments of the present application are described below to facilitate the understanding of the present application for those skilled in the art, but it should be clear that the present application is not limited to the scope of the specific embodiments, and for those skilled in the art, all the inventions utilizing the concept of the present application are within the scope of the present application as long as various changes are obvious within the spirit and scope of the present application defined and determined by the appended claims.

[0036] As Figure 1 shown, the embodiment of the present application provides a non-traction energy consumption line division method for railway transportation enterprises, comprising the following steps S1 to S6:

[0037] S1, classifying railway transportation production units according to energy consumption types to obtain energy consumption departments corresponding to different energy consumption types;

[0038] In an optional embodiment of the present application, all railway transportation production units are classified according to energy consumption types according to the report data of the railway bureau, and the same type is merged, so as to obtain energy consumption units corresponding to different energy consumption types, which can improve the accuracy of different energy consumption.

[0039] The energy consumption departments corresponding to different energy consumption types obtained by the present application specifically include:

[0040] The energy consumption departments corresponding to different energy consumption types obtained by the present application specifically include:

[0041] S2, selecting corresponding energy consumption line division and splitting indicators from the energy consumption department line division influencing factors for each energy consumption department;

[0042] In an optional embodiment of the present application, the corresponding energy consumption line division and splitting indicators of each energy consumption department are selected from the energy consumption department non-traction energy consumption line division and splitting influencing factors according to the service nature and characteristics of the energy consumption department. The energy consumption department non-traction energy consumption line division and splitting influencing factors specifically include locomotive running kilometers, passenger arrival and departure quantity, freight arrival and departure quantity, total weight passing and vehicle kilometers. Among them, the locomotive running kilometers are used for splitting in the locomotive depot; the high-speed train vehicle kilometers are used for splitting in the motor car depot; the passenger arrival and departure quantity is used for splitting in the passenger station and the passenger station; the freight arrival and departure quantity is used for splitting in the freight station; the passenger and freight arrival and departure quantity is used for splitting in the car depot; the total weight passing is used for splitting in the power supply department, the electric power department, the power and engineering department and the engineering department; the vehicle kilometers are used for splitting in the vehicle depot; and the specific line division index corresponding situation is shown in Table 1.

[0043] Table 1: Energy consumption line division index selection table for each department

[0044]

[0045] S3, data cleaning is performed on the energy consumption data of each railway transportation enterprise, and based on different energy categories, different energy consumption departments are classified to obtain energy consumption data of various energy categories corresponding to each energy consumption department;

[0046] In an optional embodiment of the present application, the data cleaning of the energy consumption data of each railway transportation enterprise specifically includes:

[0047] The energy consumption data of each railway transportation enterprise is removed from the traction energy consumption data of the locomotive depot;

[0048] Based on different energy categories, the non-traction energy consumption proportion of each energy consumption department is sorted;

[0049] The energy consumption department with a non-traction energy consumption proportion greater than or equal to a set threshold is processed in detail;

[0050] The energy consumption department with a non-traction energy consumption proportion less than the set threshold is processed in a fuzzy manner.

[0051] Then, based on different energy categories, different energy consumption departments are classified to obtain energy consumption data of various energy categories corresponding to each energy consumption department.

[0052] S4, determining energy consumption line data from production data of railway transportation production units according to energy consumption line indicators corresponding to each energy consumption department;

[0053] In an optional embodiment of the present application, the determination of energy consumption line data from production data of railway transportation production units according to energy consumption line indicators corresponding to each energy consumption department specifically includes:

[0054] Determining the line statistical section name of the energy consumption department and the section range corresponding to each line statistical section name according to the production data of the railway transportation production unit;

[0055] Traversing the production data of the railway transportation production unit according to the line statistical section name and the corresponding section range to determine the energy consumption line data corresponding to each line statistical section name;

[0056] Merging the energy consumption line data corresponding to each line statistical section name to obtain the energy consumption line data corresponding to the energy consumption department;

[0057] Or according to the energy consumption department name, the production data of the railway transportation production unit is traversed to obtain the energy consumption line data corresponding to the energy consumption department.

[0058] Specifically, for the energy using unit being a service section, a power supply section, an electric power section, a vehicle section, a vehicle section, a work section or a motor section, the production data of the railway transportation production unit is traversed by the section range to determine the energy consumption sub-line data; for the energy using unit being a passenger station, a freight station, a vehicle section or a passenger section, the production data of the railway transportation production unit is traversed by the station name to match the data table, so as to determine the freight arrival and departure quantity and the passenger arrival and departure quantity corresponding to each line.

[0059] S5, constructing a non-traction energy consumption sub-line split model of each energy consumption department according to the energy consumption sub-line data corresponding to each energy consumption department;

[0060] In an optional embodiment of the present application, the present application splits the energy consumption of each energy consumption department according to the proportion of each line workload index in the total amount of corresponding line workload index, and the same split weight is used for different energy categories under the same energy consumption department, and the non-traction energy consumption sub-line split model is constructed, which is specifically:

[0061]

[0062] Wherein, q i is the non-traction energy consumption split weight of the i-th line, x i is the energy consumption sub-line data of the i-th line of the energy consumption department, and n is the total number of lines under the jurisdiction of the energy consumption department.

[0063] S6, according to the constructed non-traction energy consumption sub-line split model of each energy consumption department and the energy consumption data of each energy category corresponding to each energy consumption department, the non-traction energy consumption sub-line split result of each energy consumption department is calculated.

[0064] In an optional embodiment of the present application, the non-traction energy consumption of each energy consumption department is calculated by multiplying the energy consumption split weight of each line of the energy consumption department by the consumption amount of a certain energy of the energy consumption department, and the calculation method of the non-traction energy consumption sub-line split result is:

[0065] Q i = Q j *q i

[0066] Wherein, Q i is the non-traction energy consumption split result of the i-th line of the energy consumption department, Q j is the energy consumption data of the j-th energy category corresponding to the energy consumption department, and q i is the non-traction energy consumption split weight of the i-th line.

[0067] According to the constructed non-traction energy consumption line splitting and splitting model of each energy consumption department and the energy consumption data of various energy types corresponding to each energy consumption department, the energy consumption of each line of each energy consumption department can be accurately calculated, and through analysis and summary of the line splitting and splitting results, data basis and reference for energy saving and carbon reduction of each line can be provided.

[0068] The railway transportation enterprise non-traction energy consumption passenger and freight splitting method provided by the present application is further described in detail below with two specific examples.

[0069] Example 1

[0070] According to the data and literature research, the energy consumption of a certain power supply section in a certain month of a certain year is determined as 5.25 tons of diesel oil, 3.26 tons of gasoline, and 14.27 tons of electricity. For the selected line splitting and splitting workload index of the power supply section, the total weight is determined, and the jurisdiction section of the power supply section is determined according to the jurisdiction boundary statistical table of the power supply section. Combined with the line start and end points, the section range in the machine report 6 and 7 is marked, the corresponding total weight of each line section of the power supply section is determined, and the total weight of the section in different machine sections is searched and combined into the total weight of the section. The specific workload index data is shown in Table 2. Based on the workload data in Table 2 and combined with the mathematical model of splitting, the splitting weight and splitting result of each line are shown in Table 3.

[0071] Table 2 Total weight of lines involved in a certain power supply section

[0072]

[0073]

[0074] Table 3 Energy consumption line splitting results of a certain power supply section

[0075]

[0076] Taking A line as an example to explain the mathematical calculation process:

[0077] A line splitting weight Then the same splitting weight is used to split different energy types.

[0078] A line diesel oil consumption: Q 柴 = 5.25 x 43.25% = 2.27 tons

[0079] A line gasoline consumption: Q 汽 = 3.26 x 43.25% = 1.41 (tons)

[0080] A line electric power consumption: Q 电 = 14.27 x 43.25% = 6.17 (million kWh)

[0081] So the line all energy consumption of standard coal:

[0082] Q 标 = 2.27 x 1.4571 + 1.41 x 1.4714 + 6.17 x 1.229 = 12.97 (tons of standard coal)

[0083] According to the results of the line and the split, the energy consumption of the power supply section involves A, B, C, D four lines, among which the proportion of A line is the largest, which is 43.25%, so the energy consumption of the power supply section in a certain month of a certain year is 2.27 tons of diesel, 1.41 tons of gasoline, 6.17 million kilowatt hours of electricity, equivalent to 12.97 tons of standard coal; followed by D line, the proportion of line is 39.78%, so the energy consumption of the power supply section in a certain month of a certain year is 2.09 tons of diesel, 1.30 tons of gasoline, 5.68 million kilowatt hours of electricity, equivalent to 11.93 tons of standard coal. From this data, the data basis for the energy saving and carbon reduction work of railway line can be obtained.

[0084] Example 2

[0085] According to the data and literature research, the energy consumption of a certain station in a certain month is determined, which is diesel 0.23 tons, gasoline 2.89 tons, electricity 56.87 million kilowatt hours and other 2.67 tons of standard coal. It is assumed that the station is a pure freight station, and the selected line splitting workload index is the number of freight to and from (70% of freight sending quantity + 30% of freight arrival quantity). Then, according to the corresponding station section of the station, the corresponding freight sending quantity and freight arrival quantity are selected by using the freight report-1G screening, and the specific workload index data is shown in Table 4. Based on the workload data in Table 4 and combined with the mathematical model of the split, the corresponding line weight and the split results of each line are shown in Table 6.

[0086] Table 4: Line and freight to and from quantity involved in the corresponding station section of a certain station

[0087]

[0088]

[0089] Then the freight to and from quantity of the same line is integrated, and the total sum is calculated according to the principle of freight sending quantity * 70% + freight arrival quantity * 30%, and the line is divided according to the above splitting rule, and the results are shown in Table 5.

[0090] Table 5: Line weight involved in a certain station

[0091]

[0092]

[0093] Then, the different energy categories are divided by the same sub-weight, and the results are shown in Table 6.

[0094]

[0095] Take the a line as an example to illustrate the mathematical calculation process:

[0096] The total amount of goods to and from the a line is converted: 67629x0.7+436469x0.3=178281(tons)

[0097] The sub-weight of the a line is: q1=178281 / (178281+411008.5+7935+24331.6+170.1+24390.4+285718.5)x100%=19.13%, and then the different energy types are divided by the same sub-weight.

[0098] The diesel consumption of the a line is: Q 柴 =0.23x19.13%=0.04(tons)

[0099] The gasoline consumption of the a line is: Q 汽 =2.89x19.13%=0.55(tons)

[0100] The electricity consumption of the a line is: Q 电 =56.87x19.13%=10.88(kilowatt hours)

[0101] The other energy consumption of the a line is: Q 其 =2.67x19.13%=0.51(tons)

[0102] Then, the total energy consumption of the line is: Q 标 =0.04x1.4571+0.55x1.4714+10.88x1.229+0.51=14.76(tons of standard coal)

[0103] According to the result of the line splitting and splitting, it is known that the station involves a, b, c, d, e, f, j 6 lines, among which the splitting and splitting proportion of b, j two lines is the largest, respectively 44.11% and 30.66%, so each line is split into different energy types in the same line proportion, and the results are shown in table 6. Among them, the diesel oil of b line is 0.1 tons, the gasoline is 1.27 tons, the electric power is 250800 kilowatt hours, and the other energy consumption is 1.18 tons of standard coal, and the equivalent standard coal is 34.03 tons of standard coal; the diesel oil of j line is 0.07 tons, the gasoline is 0.89 tons, the electric power is 174400 kilowatt hours, and the other energy consumption is 0.82 tons of standard coal, and the equivalent standard coal is 23.66 tons of standard coal, which can be used as the data basis for the energy saving and carbon reduction work of the railway line.

[0104] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system) and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of the flows and / or blocks in the flowchart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a means for implementing the functions specified in the flowchart and / or block diagram. Figure 1 The functions specified in one or more flows and / or blocks. Figure 1 The means for implementing the functions specified in one or more flows or blocks.

[0105] These computer program instructions can also be stored in a computer readable storage medium which can guide the computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer readable storage medium produce a product including instruction means, which implements the functions specified in the flowchart and / or block diagram. Figure 1 The functions specified in one or more flows and / or blocks. Figure 1 The means for implementing the functions specified in one or more flows or blocks.

[0106] These computer program instructions can also be loaded into the computer or other programmable data processing device, so that a series of operation steps are performed on the computer or other programmable device to produce a computer implemented process, so that the instructions executed on the computer or other programmable device provide a means for implementing the functions specified in the flowchart and / or block diagram. Figure 1 The functions specified in one or more flows and / or blocks. Figure 1 The means for implementing the functions specified in one or more flows or blocks.

[0107] The principles and implementation manners of the present application are described by using specific examples in the present application, and the above examples are only used for helping to understand the method of the present application and its core idea; meanwhile, for the ordinary skilled in the art, according to the idea of the present application, the specific implementation manners and application ranges can be changed, and the above description should not be understood as the limitation of the present application.

[0108] Those skilled in the art will understand that the examples described herein are for the purpose of understanding the principles of the present application and should be understood as not limiting the scope of protection of the present application. Those skilled in the art can make various other specific modifications and combinations according to the technical inspiration disclosed in the present application without departing from the essence of the present application, and these modifications and combinations are still within the scope of protection of the present application.

Claims

1. A method for splitting non-traction energy consumption of a railway transport enterprise, characterized in that, The method comprises the following steps: Classify railway transportation production units according to energy consumption types to obtain energy consumption departments corresponding to different energy consumption types; Select corresponding energy consumption sub-line and sub-pie indexes from the energy consumption department sub-line influencing factors for each energy consumption department; Clean the energy consumption data of each railway transportation enterprise, and classify the data according to different energy consumption departments to obtain the energy consumption data of each energy consumption department corresponding to various energy types; Determine the energy consumption sub-line data from the production data of the railway transportation production units according to the energy consumption sub-line indexes corresponding to each energy consumption department, which specifically comprises: Determine the line statistical section name of the energy consumption department and the section range corresponding to each line statistical section name according to the production data of the railway transportation production units; Traverse the production data of the railway transportation production units according to the line statistical section name and the corresponding section range to determine the energy consumption sub-line data corresponding to each line statistical section name; Merge the energy consumption sub-line data corresponding to each line statistical section name to obtain the energy consumption sub-line data corresponding to the energy consumption department; Or traverse the production data of the railway transportation production units according to the energy consumption department name to obtain the energy consumption sub-line data corresponding to the energy consumption department; Construct a non-traction energy consumption sub-line and sub-pie model for each energy consumption department according to the energy consumption sub-line data corresponding to each energy consumption department; Calculate the non-traction energy consumption sub-line and sub-pie results of each energy consumption department according to the constructed non-traction energy consumption sub-line and sub-pie model of each energy consumption department and the energy consumption data of each energy consumption department corresponding to various energy types.

2. The method of claim 1, wherein, The non-traction energy consumption sub-line and sub-pie model is specifically: Wherein, is the non-traction energy consumption weight of the first i line, is the energy consumption weight of the first i line of the energy consumption department, n is the total number of lines under the jurisdiction of the energy consumption department.

3. The method of claim 1, wherein, The calculation method of the non-traction energy consumption sub-line and sub-pie results is: wherein, is the non-traction energy consumption of the i-th line, i is the non-traction energy consumption of the i-th line, is the non-traction energy consumption of the i-th line, j is the energy consumption data of the j-th energy type corresponding to the energy consumption department, is the non-traction energy consumption of the i-th line, i is the non-traction energy consumption of the i-th line.

4. The method of claim 1, wherein, The data cleaning of the energy consumption data of each railway transportation enterprise specifically comprises: Remove the traction energy consumption data of the locomotive depot from the energy consumption data of each railway transportation enterprise; Sort the non-traction energy consumption proportions of each energy consumption department according to different energy types; Perform fine processing on the energy consumption departments with non-traction energy consumption proportions greater than or equal to a set threshold; Perform fuzzy processing on the energy consumption departments with non-traction energy consumption proportions less than the set threshold.

5. The method of claim 1, wherein, The energy consumption departments corresponding to different energy consumption types specifically comprise: Locomotive depot, car depot, power supply depot, electric power depot, power and electrical depot, vehicle depot, road maintenance depot, passenger transport depot, motor car depot, passenger station, and freight station.

6. The method of claim 1, wherein, The energy consumption department sub-line influencing factors specifically comprise: Locomotive running kilometers, passenger arrival and departure quantity, freight arrival and departure quantity, total weight passing, and vehicle kilometers.

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