Evaluation method and system based on reasonable energy consumption index of rail transit network

Abstract

The present invention discloses an evaluation method and system based on reasonable energy consumption indicators of rail transit lines, which relates to the technical field of rail transit energy consumption evaluation, including S1: constructing an energy consumption evaluation index system based on sub-item energy consumption indicators of a multi-level tree structure, and defining the calculation method of each sub-item energy consumption indicator; S2: collecting energy consumption data of application objects, and calculating according to the calculation method of the corresponding sub-item energy consumption indicators in the energy consumption evaluation index system to obtain the energy consumption index evaluation results of the application objects; S3: constructing a rail transit energy consumption database based on the energy consumption data of the application objects and the energy consumption index evaluation results of the application objects in the sub-item energy consumption indicators; S4: based on the indicator data in the rail transit energy consumption database. This method can accurately manage and monitor the energy consumption indicators of the actual line network, and provide an accurate reference basis for the equipment selection of subsequent line construction projects.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit energy consumption evaluation, and provides an evaluation method and system based on reasonable energy consumption indicators of a rail transit network. Background Art

[0002] The main energy source of urban rail transit is electricity. Due to its large transportation volume, long operation time and large number of operating equipment, it consumes a huge amount of energy and is a major electricity consumer in the city. With the formation of the rail transit network, the total amount of electricity consumption has also increased significantly. Reducing the operating energy consumption of rail transit and reducing the total amount of electricity consumption are urgent needs for building green subways, reducing operating costs and achieving sustainable development of enterprises.

[0003] Urban rail transit energy consumption evaluation is a basic tool for determining the energy consumption level of a line. However, for a long time, urban rail transit has not been able to make precise efforts in energy consumption optimization management. The main reason is that the energy consumption level of the actual line cannot be reasonably evaluated and judged, and thus the energy consumption planning of the line cannot be accurately optimized, and it is impossible to provide a reference basis for the equipment selection of subsequent line construction projects. Summary of the invention

[0004] In order to solve at least one of the technical problems mentioned in the background technology, the purpose of the present invention is to provide an evaluation method and system based on the reasonable energy consumption indicators of the rail transit network, to accurately manage and monitor the energy consumption indicators of the actual network, and to provide an accurate reference basis for the equipment selection of subsequent line construction projects.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An evaluation method based on reasonable energy consumption indicators of rail transit network includes the following steps:

[0007] S1: Construct an energy consumption evaluation index system based on the sub-item energy consumption indicators of a multi-level tree structure, and define the calculation method of each sub-item energy consumption indicator;

[0008] S2: Collect energy consumption data of the application object, and calculate according to the calculation method of the corresponding sub-item energy consumption index in the energy consumption evaluation index system to obtain the energy consumption index evaluation result of the application object;

[0009] S3: Building a rail transit energy consumption database based on the energy consumption data of the application objects and the energy consumption index evaluation results of the application objects in the sub-item energy consumption indicators;

[0010] S4: Based on the index data in the rail transit energy consumption database, the energy consumption index evaluation results corresponding to the application objects in each sub-item energy consumption index are retrieved by index name.

[0011] Furthermore, the energy consumption indicators of each item in step S1 include:

[0012] S11: Establish the first-level classification of indicators and the second-level classification of indicators;

[0013] S12: Associate the first-level classification of indicators with the application objects: network, line, train, control center and station;

[0014] S13: Associate the secondary classification of indicators with the application objects: power consumption indicators, traction power consumption indicators, dynamic lighting power consumption indicators, lighting power consumption indicators, water consumption indicators, carbon emission indicators, comprehensive energy consumption indicators, ventilation and air conditioning system power consumption indicators, and elevator and escalator system power consumption indicators.

[0015] Furthermore, the secondary classification of the indicators includes:

[0016] S131: Establish a basic information list of indicators corresponding to the secondary classification of indicators;

[0017] S132: Associating the indicator names in the indicator basic information list with the calculation methods corresponding to the indicator names.

[0018] Furthermore, the basic information of the indicator also includes: energy efficiency indicator ID, indicator unit, indicator definition, statistical period, indicator level and indicator source.

[0019] An evaluation system based on reasonable energy consumption indicators of rail transit network, including:

[0020] Energy consumption evaluation index system construction module: constructs an energy consumption evaluation index system based on sub-item energy consumption indicators of a multi-level tree structure, and defines the calculation method of each sub-item energy consumption indicator;

[0021] Collection and calculation module: used to collect energy consumption data of application objects, and calculate according to the calculation method of corresponding sub-item energy consumption indicators in the energy consumption evaluation indicator system to obtain the energy consumption indicator evaluation results of the application objects;

[0022] Energy consumption database construction module: constructs a rail transit energy consumption database based on the energy consumption data of the application object and the energy consumption index evaluation results of the application object in the sub-item energy consumption index;

[0023] Energy consumption index evaluation result retrieval module: Based on the index data in the rail transit energy consumption database, the energy consumption index evaluation results corresponding to the application objects in each sub-item energy consumption index are retrieved by index name.

[0024] Furthermore, the energy consumption indicators in the energy consumption evaluation index system construction module include:

[0025] The first establishment unit: used to establish the first-level classification of indicators and the second-level classification of indicators;

[0026] The first association unit is used to associate the first-level classification of indicators with the application objects: line network, line, train, control center and station;

[0027] The second association unit is used to associate the secondary classification of indicators with application objects: power consumption indicators, traction power consumption indicators, dynamic lighting power consumption indicators, lighting power consumption indicators, water consumption indicators, carbon emission indicators, comprehensive energy consumption indicators, ventilation and air-conditioning system power consumption indicators, elevator and escalator system power consumption indicators.

[0028] Furthermore, the secondary classification of the indicators includes:

[0029] The second establishing unit is used to establish a basic information list of indicators corresponding to the secondary classification of indicators;

[0030] The third associating unit is used to associate the indicator name in the indicator basic information list with the calculation method of the corresponding indicator name.

[0031] Furthermore, the basic information of the indicator also includes: energy efficiency indicator ID, indicator unit, indicator definition, statistical period, indicator level and indicator source.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The rail transit energy consumption index evaluation method in the present invention aims to provide decision support for rail transit operating units and improve the level of energy efficiency management by comprehensively evaluating rail transit energy efficiency indicators. The system integrates the energy consumption data of various application objects during the operation of rail transit to achieve real-time monitoring, query, analysis and evaluation of energy consumption indicators, thereby optimizing the energy utilization of rail transit, reducing operating costs and improving service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 Evaluation method flow based on reasonable energy consumption index of rail transit network provided in embodiment 1 of the present invention Figure 1 ;

[0035] Figure 2 Evaluation method flow based on reasonable energy consumption index of rail transit network provided in embodiment 1 of the present invention Figure 2 ;

[0036] Figure 3 The evaluation system structure framework based on the reasonable energy consumption index of the rail transit network provided in the second embodiment of the present invention Figure 1 ;

[0037] Figure 4 The evaluation system structure framework based on the reasonable energy consumption index of the rail transit network provided in the second embodiment of the present invention Figure 2 . DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Embodiment 1

[0040] See also Figure 1 This embodiment provides an evaluation method based on reasonable energy consumption indicators of rail transit network, including the following steps:

[0041] S1: Construct an energy consumption evaluation index system based on the sub-item energy consumption indicators of a multi-level tree structure, and define the calculation method of each sub-item energy consumption indicator;

[0042] S2: Collect energy consumption data of the application object, and calculate according to the calculation method of the corresponding sub-item energy consumption index in the energy consumption evaluation index system to obtain the energy consumption index evaluation result of the application object;

[0043] S3: Building a rail transit energy consumption database based on the energy consumption data of the application objects and the energy consumption index evaluation results of the application objects in the sub-item energy consumption indicators;

[0044] S4: Based on the index data in the rail transit energy consumption database, the energy consumption index evaluation results corresponding to the application objects in each sub-item energy consumption index are retrieved by index name.

[0045] Specifically, the method constructs an energy consumption evaluation index system based on a multi-level tree structure, and realizes effective evaluation and data management of rail transit energy consumption by collecting and processing energy consumption data of application objects.

[0046] Specifically, the multi-level tree structure allows complex energy consumption indicators to be decomposed into more specific sub-indicators, thus forming a hierarchical structure. This helps to better understand and evaluate energy consumption at different levels. Define the calculation method. For each sub-item energy consumption indicator, a clear calculation method needs to be defined. These calculation methods can be based on physical principles, empirical formulas or statistical methods to extract the required energy consumption information from the raw data.

[0047] Specifically, step S2 involves collecting energy consumption data of application objects from various sensors, meters or management systems. Such data may include power consumption, fuel consumption, water consumption, etc. Calculate energy consumption indicators: According to the calculation method defined in step S1, the specific values ​​of each sub-item energy consumption indicator are calculated using the collected energy consumption data.

[0048] Specifically, step S3 stores the collected energy consumption data and the calculated energy consumption index in a database to form a rail transit energy consumption database. This database can be a relational database or a non-relational database, and the specific choice depends on actual needs.

[0049] Specifically, users can retrieve corresponding energy consumption index data from the database by inputting a specific index name, which provides users with a convenient way to query and obtain data.

[0050] Specifically, the calculation method includes:

[0051] Indicator name: per capita energy use of the line network, indicator first-level classification: line network, calculation method: (energy consumption of vehicles + energy consumption of vehicles) / passenger volume×100%;

[0052] Index name: Energy efficiency of power grid, first-level category of index: power grid, calculation method: (energy consumption of vehicle + energy consumption of lighting) / electricity of main transformer of the whole power grid × 100%;

[0053] Indicator name: line network energy conversion efficiency, indicator first-level classification: line network, calculation method: passenger-kilometers × traction power consumption per unit passenger turnover / energy consumption of vehicles in the entire line network × 100%;

[0054] Indicator name: proportion of green energy in power lines and networks, first-level classification of indicators: power lines and networks, calculation method: photovoltaic power generation / power consumption of power lines and networks × 100%;

[0055] Indicator name: Regenerative braking recovery energy ratio of power grid, first-level category of indicator: power grid, calculation method: power recovered by bidirectional converter / power consumption of power grid × 100%;

[0056] Indicator name: Growth rate of total green energy of power lines and networks. Indicator primary classification: power lines and networks. Calculation method: (green energy volume of the previous month - green energy volume of the previous month) / green energy volume of the previous month × 100%;

[0057] Indicator name: Growth rate of green energy proportion in power grid, first-level classification of indicator: power grid, calculation method: photovoltaic power generation last month / energy consumption last month - green energy in the previous month / energy consumption in the previous month × 100%;

[0058] Indicator name: Growth rate of green energy types in power lines and networks, first-level classification of indicators: power lines and networks, calculation method: (green energy quantity in the previous month - green energy quantity in the previous month) / green energy quantity in the previous month × 100%;

[0059] Indicator name: per capita energy use of routes, indicator primary classification: routes, calculation method: (energy consumption of vehicles + energy consumption of vehicles) / passenger volume × 100%;

[0060] Index name: Line energy efficiency, first-level index classification: Line, calculation method: (energy consumption of vehicle + energy consumption of lighting) / electricity of main transformer × 100%;

[0061] Indicator name: line energy conversion efficiency, indicator first-level classification: line, calculation method: line passenger kilometers × unit passenger turnover traction power consumption / vehicle energy consumption × 100%;

[0062] Indicator name: Green energy ratio of lines, first-level classification of indicators: lines, calculation method: photovoltaic power generation / power consumption of lines and networks × 100%;

[0063] Indicator name: proportion of energy recovered by line regenerative braking, first-level category of indicator: line, calculation method: power recovered by bidirectional converter / power consumption of line network × 100%;

[0064] Indicator name: line green energy total growth rate, indicator first-level classification: line, calculation method: (last month's green energy - previous month's green energy) / previous month's green energy × 100%;

[0065] Indicator name: Line green energy ratio growth rate, indicator first-level classification: line, calculation method: photovoltaic power generation last month / energy consumption last month - previous green energy / energy consumption last month × 100%;

[0066] Indicator name: Growth rate of green energy types on lines. First-level classification of indicators: lines. Calculation method: (amount of green energy last month - amount of green energy in the previous month) / amount of green energy in the previous month × 100%.

[0067] Specifically, in the process of building a rail transit energy consumption database, first of all, it is necessary to ensure that the database structure design can accommodate multiple types of data, including original energy consumption data, calculated energy consumption indicators, and evaluation results of these indicators. Energy consumption data needs to be collected from monitoring systems of various application objects, such as trains, stations, and control centers, and cleaned and preprocessed to ensure the accuracy and consistency of the data. The calculated energy consumption indicators and evaluation results are also entered according to unified standards and formats.

[0068] Specifically, in the rail transit energy database, the indicator data is organized and stored in a multi-level tree structure. Users can quickly retrieve and obtain relevant energy indicator evaluation results by indicator name. When a user needs to query a specific application object, such as the performance of a station or train on a certain sub-item energy indicator, they can initiate a query request by entering the corresponding indicator name. The database management will search for the corresponding data record in the database according to the indicator name entered by the user, and return the relevant energy indicator evaluation results.

[0069] Specifically, this retrieval method is not only convenient and fast, but also can improve the efficiency and value of data utilization. By obtaining the evaluation results of each application object on different sub-item energy consumption indicators, users can have a more comprehensive understanding of the energy consumption status of the rail transit system, providing strong support for subsequent energy management and optimization. At the same time, this retrieval method also supports users to conduct in-depth analysis and comparison of data, discover potential problems and room for improvement, and further promote energy conservation and consumption reduction in the rail transit system.

[0070] See also Figure 2 , wherein the sub-item energy consumption indicators in step S1 include:

[0071] S11: Establish the first-level classification of indicators and the second-level classification of indicators;

[0072] S12: Associate the first-level classification of indicators with the application objects: network, line, train, control center and station;

[0073] S13: Associate the secondary classification of indicators with the application objects: power consumption indicators, traction power consumption indicators, dynamic lighting power consumption indicators, lighting power consumption indicators, water consumption indicators, carbon emission indicators, comprehensive energy consumption indicators, ventilation and air conditioning system power consumption indicators, and elevator and escalator system power consumption indicators.

[0074] Among them, the secondary classification of indicators includes:

[0075] S131: Establish a basic information list of indicators corresponding to the secondary classification of indicators;

[0076] S132: Associating the indicator names in the indicator basic information list with the calculation methods corresponding to the indicator names.

[0077] Among them, the basic information of the indicator also includes: energy efficiency indicator ID, indicator unit, indicator definition, statistical period, indicator level and indicator source.

[0078] Specifically, the relationship between the first-level classification of indicators and the household classification of application objects is as follows:

[0079] Select the network for the first-level classification, and the default application object is the rail transit network; select the line for the first-level classification, and the application object can only be the line-level household; the first-level classification is the station, and the application object can only be the station; select the control center for the first-level classification, and the application object can only be the control center; select the train for the first-level classification, and the application object can only be the train.

[0080] Specifically, the energy efficiency indicator ID is automatically generated when the indicator is initialized. The indicator unit is defined according to the indicator name type. The indicator definition explains the scope of statistics. The statistical period can be customized. The indicator level can be selected from national standards, enterprise standards, local standards, group standards, and others. The indicator source will show the source of the basic information of the indicator. For example: the indicator name is the traction energy consumption per person in the line network, the indicator ID is 001, the indicator unit is KWH / person, and the calculation formula is: total power consumption of line network operation / line network entry volume. The indicator definition: During the statistical period, the average total operating energy consumption consumed for each passenger transported, and the statistical period is month. Among them, the standard values ​​of indicators: target value, industry value, and other subway values.

[0081] The rail transit energy consumption index evaluation method in the present invention aims to provide decision support for rail transit operating units and improve the level of energy efficiency management by comprehensively evaluating rail transit energy efficiency indicators. The system integrates the energy consumption data of various application objects during the operation of rail transit to achieve real-time monitoring, query, analysis and evaluation of energy consumption indicators, thereby optimizing the energy utilization of rail transit, reducing operating costs and improving service quality.

[0082] Embodiment 2

[0083] See also Figure 3 This embodiment provides an evaluation system based on reasonable energy consumption indicators of rail transit network, including:

[0084] Energy consumption evaluation index system construction module: constructs an energy consumption evaluation index system based on sub-item energy consumption indicators of a multi-level tree structure, and defines the calculation method of each sub-item energy consumption indicator;

[0085] Collection and calculation module: used to collect energy consumption data of application objects, and calculate according to the calculation method of corresponding sub-item energy consumption indicators in the energy consumption evaluation indicator system to obtain the energy consumption indicator evaluation results of the application objects;

[0086] Energy consumption database construction module: constructs a rail transit energy consumption database based on the energy consumption data of the application object and the energy consumption index evaluation results of the application object in the sub-item energy consumption index;

[0087] Energy consumption index evaluation result retrieval module: Based on the index data in the rail transit energy consumption database, the energy consumption index evaluation results corresponding to the application objects in each sub-item energy consumption index are retrieved by index name.

[0088] See also Figure 4 Among them, the sub-item energy consumption indicators in the energy consumption evaluation index system construction module include:

[0089] The first establishment unit: used to establish the first-level classification of indicators and the second-level classification of indicators;

[0090] The first association unit is used to associate the first-level classification of indicators with the application objects: line network, line, train, control center and station;

[0091] The second association unit is used to associate the secondary classification of indicators with application objects: power consumption indicators, traction power consumption indicators, dynamic lighting power consumption indicators, lighting power consumption indicators, water consumption indicators, carbon emission indicators, comprehensive energy consumption indicators, ventilation and air-conditioning system power consumption indicators, elevator and escalator system power consumption indicators.

[0092] Among them, the secondary classification of indicators includes:

[0093] The second establishing unit is used to establish a basic information list of indicators corresponding to the secondary classification of indicators;

[0094] The third associating unit is used to associate the indicator name in the indicator basic information list with the calculation method of the corresponding indicator name.

[0095] Among them, the basic information of the indicator also includes: energy efficiency indicator ID, indicator unit, indicator definition, statistical period, indicator level and indicator source.

[0096] The rail transit energy consumption index evaluation system in this system aims to comprehensively evaluate rail transit energy efficiency indicators through the energy consumption evaluation index system construction module and the collection and operation module, provide decision support for rail transit operating units, and improve energy efficiency management. The system integrates the energy consumption data of various application objects during the operation of rail transit, and realizes real-time monitoring, query, analysis and evaluation of energy consumption indicators through the energy consumption database construction module and the energy consumption index evaluation result retrieval module, thereby optimizing the energy utilization of rail transit, reducing operating costs, and improving service quality.

[0097] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

Claims

1. An evaluation method based on reasonable energy use indicators of rail transit network, characterized in that: Includes steps: S1: Construct an energy consumption evaluation index system based on the sub-item energy consumption indicators of a multi-level tree structure, and define the calculation method of each sub-item energy consumption indicator; S2: Collect energy consumption data of the application object, and calculate according to the calculation method of the corresponding sub-item energy consumption index in the energy consumption evaluation index system to obtain the energy consumption index evaluation result of the application object; S3: Building a rail transit energy consumption database based on the energy consumption data of the application objects and the energy consumption index evaluation results of the application objects in the sub-item energy consumption indicators; S4: Based on the index data in the rail transit energy consumption database, the energy consumption index evaluation results corresponding to the application objects in each sub-item energy consumption index are retrieved by index name; The energy consumption indicators in step S1 include: S11: Establish the first-level classification of indicators and the second-level classification of indicators; S12: Associating the first-level classification of indicators with application objects, wherein the first-level classification of indicators is line network, line, train, control center and station; S13: Associating the secondary classification of indicators with the application objects, wherein the secondary classification of indicators includes traction power consumption indicator, dynamic lighting power consumption indicator, lighting power consumption indicator, water consumption indicator, carbon emission indicator, comprehensive energy consumption indicator, ventilation and air conditioning system power consumption indicator, and elevator and escalator system power consumption indicator; The calculation method in step S1 includes: Per capita energy consumption of the network = (energy consumption of vehicles + energy consumption of vehicles) / passenger volume × 100%; Energy efficiency of the power grid = (energy consumption of vehicles + energy consumption of lighting) / power consumption of the main transformer of the entire power grid × 100%; Energy conversion efficiency of the line network = passenger-kilometers × traction power consumption per unit passenger turnover / energy consumption of vehicles in the entire line network × 100%; Green energy proportion of the line network = photovoltaic power generation / power consumption of the line network × 100%; The proportion of energy recovered by regenerative braking of the power grid = the amount of power recovered by the bidirectional converter / the power consumption of the power grid × 100%; Total green energy growth rate of the network = (green energy of the previous month - green energy of the previous month) / green energy of the previous month × 100%; Growth rate of green energy share of the line network = photovoltaic power generation of the previous month / energy consumption of the previous month - green energy of the previous month / energy consumption of the previous month × 100%; Growth rate of green energy types in the network = (amount of green energy in the previous month - amount of green energy in the previous month) / amount of green energy in the previous month × 100%; Energy consumption per capita on the route = (energy consumption of vehicles + energy consumption of vehicles) / passenger volume × 100%; Line energy efficiency = (vehicle energy consumption + lighting energy consumption) / main transformer power × 100%; Line energy conversion efficiency = line passenger-kilometers × traction power consumption per unit passenger turnover / vehicle energy consumption × 100%; Green energy proportion of the line = photovoltaic power generation / power consumption of the line network × 100%; The proportion of energy recovered by line regenerative braking = the amount of electricity recovered by the bidirectional converter / the amount of electricity consumed by the line network × 100%; Total green energy growth rate of the line = (green energy volume of the previous month - green energy volume of the previous month) / green energy volume of the previous month × 100%; Growth rate of green energy proportion of line = photovoltaic power generation of the previous month / energy consumption of the previous month - green energy of the previous month / energy consumption of the previous month × 100%; Growth rate of green energy types of lines = (green energy quantity of the previous month - green energy quantity of the previous month) / green energy quantity of the previous month × 100%; The step S13 comprises: S131: Establish a basic information list of indicators corresponding to the secondary classification of indicators; S132: Associating the indicator names in the indicator basic information list with the calculation methods corresponding to the indicator names.

2. The evaluation method based on reasonable energy use index of rail transit network according to claim 1 is characterized in that: The basic indicator information also includes: energy efficiency indicator ID, indicator unit, indicator definition, statistical period, indicator level and indicator source.

3. An evaluation system based on reasonable energy use indicators of rail transit network, characterized in that: include: Energy consumption evaluation index system construction module: constructs an energy consumption evaluation index system based on sub-item energy consumption indicators of a multi-level tree structure, and defines the calculation method of each sub-item energy consumption indicator; Collection and calculation module: used to collect energy consumption data of application objects, and calculate according to the calculation method of corresponding sub-item energy consumption indicators in the energy consumption evaluation indicator system to obtain the energy consumption indicator evaluation results of the application objects; Energy consumption database construction module: constructs a rail transit energy consumption database based on the energy consumption data of the application object and the energy consumption index evaluation results of the application object in the sub-item energy consumption index; Energy consumption index evaluation result retrieval module: Based on the index data in the rail transit energy consumption database, the energy consumption index evaluation results corresponding to the application objects in each sub-item energy consumption index are retrieved by index name; The energy consumption indicators in the energy consumption evaluation index system construction module include: The first establishment unit: used to establish the first-level classification of indicators and the second-level classification of indicators; A first association unit is used to associate the first-level classification of indicators with the application object, wherein the first-level classification of indicators is line network, line, train, control center and station; The second association unit is used to associate the secondary classification of indicators with the application object, wherein the secondary classification of indicators includes traction power consumption indicator, dynamic lighting power consumption indicator, lighting power consumption indicator, water consumption indicator, carbon emission indicator, comprehensive energy consumption indicator, ventilation and air conditioning system power consumption indicator, and elevator and escalator system power consumption indicator; The calculation method in the energy consumption evaluation index system construction module includes: Per capita energy consumption of the network = (energy consumption of vehicles + energy consumption of vehicles) / passenger volume × 100%; Energy efficiency of the power grid = (energy consumption of vehicles + energy consumption of lighting) / power consumption of the main transformer of the entire power grid × 100%; Energy conversion efficiency of the line network = passenger-kilometers × traction power consumption per unit passenger turnover / energy consumption of vehicles in the entire line network × 100%; Green energy proportion of the line network = photovoltaic power generation / power consumption of the line network × 100%; The proportion of energy recovered by regenerative braking of the power grid = the amount of power recovered by the bidirectional converter / the power consumption of the power grid × 100%; Total green energy growth rate of the network = (green energy of the previous month - green energy of the previous month) / green energy of the previous month × 100%; Growth rate of green energy share of the line network = photovoltaic power generation of the previous month / energy consumption of the previous month - green energy of the previous month / energy consumption of the previous month × 100%; Growth rate of green energy types in the network = (amount of green energy in the previous month - amount of green energy in the previous month) / amount of green energy in the previous month × 100%; Energy consumption per capita on the route = (energy consumption of vehicles + energy consumption of vehicles) / passenger volume × 100%; Line energy efficiency = (vehicle energy consumption + lighting energy consumption) / main transformer power × 100%; Line energy conversion efficiency = line passenger-kilometers × traction power consumption per unit passenger turnover / vehicle energy consumption × 100%; Green energy proportion of the line = photovoltaic power generation / power consumption of the line network × 100%; The proportion of energy recovered by line regenerative braking = the amount of electricity recovered by the bidirectional converter / the amount of electricity consumed by the line network × 100%; Total green energy growth rate of the line = (green energy volume of the previous month - green energy volume of the previous month) / green energy volume of the previous month × 100%; Growth rate of green energy proportion of line = photovoltaic power generation of the previous month / energy consumption of the previous month - green energy of the previous month / energy consumption of the previous month × 100%; Growth rate of green energy types of lines = (green energy quantity of the previous month - green energy quantity of the previous month) / green energy quantity of the previous month × 100%; The second association unit comprises: The second establishing unit is used to establish a basic information list of indicators corresponding to the secondary classification of indicators; The third associating unit is used to associate the indicator name in the indicator basic information list with the calculation method of the corresponding indicator name.

4. The evaluation system based on reasonable energy use indicators of rail transit network according to claim 3 is characterized in that: The basic indicator information also includes: energy efficiency indicator ID, indicator unit, indicator definition, statistical period, indicator level and indicator source.

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