Electric power amount analyzing device, electric power amount analyzing method, program, and electric power amount analyzing system

Abstract

An electric power amount analyzing device (1) is used to determine at least one device introduction condition among device introduction conditions that are specifications, installation positions and operating parameters relating to a regenerative electric power absorption device that absorbs regenerative electric power generated when a train (2) travels and / or supplies electric power to overhead wires that supply electric power to the train (2), the electric power amount analyzing device (1) comprising: a data acquiring unit (120) that acquires train running performance data (13a) indicating the running performance of the train (2), and section definition data (13b) defining sections set for device introduction conditions; an electric power amount data calculating unit (121) that calculates electric power amount data, comprising a statistical quantity relating to data related to electric power, for each section on the basis of the train running performance data (13a), and creates section correspondence data (13c) indicating a correspondence relationship between the sections and the electric power amount data; and a display unit (14) that displays the sections and the electric power amount data in accordance with the correspondence relationship.

Description

Power consumption analysis device, power consumption analysis method, program, and power consumption analysis system

[0006] ,

[0005]

[0001] The present disclosure relates to a power consumption analysis device, a power consumption analysis method, a program, and a power consumption analysis system.

[0002] In recent years, for energy conservation in the railway field, regenerative brakes have been widely introduced. The regenerative power generated by the regenerative brake is utilized as the power consumed by other power trains. However, when there is no other power train near the train generating the regenerative power and the regenerative power cannot be fully utilized, the excess regenerative power has been discarded as heat.

[0003] Therefore, in order to effectively utilize the regenerative power that has been discarded as excess, efforts have been made to use a regenerative power absorption device. As an example of such a regenerative power absorption device, there is one in which a storage device is installed so as to be connected to an overhead wire, and the regenerative power is charged into this storage device and used during the power running or emergency of the train. There are also others in which a power converter is installed at a station, and the regenerative power generated by the operation of the train is converted into power that can be used in the station building using this power converter, and is used for lighting or air conditioning in the station building.

[0004] When effectively utilizing regenerative power using such a regenerative power absorption device, the amount of power that can be effectively utilized varies depending on the installation position of the regenerative power absorption device. This is because one factor is that the amount of power that can be effectively utilized changes depending on the operation frequency of the trains near the installation position of the regenerative power absorption device. Therefore, in order to fully and effectively utilize regenerative power using a regenerative power absorption device, it is necessary to install the regenerative power absorption device at an appropriate position. For example, in Patent Document 1, a regenerative power absorption device is mounted on a moving body, and the regenerative power absorption device is moved in response to fluctuations in the overhead wire voltage, thereby maximizing the charge-discharge efficiency of the regenerative power absorption device and enabling an operation system that can effectively utilize regenerative power to be disclosed.

[0005] Japanese Patent Application Laid-Open No. 2014 - 88136

[0006] In the above operating system, the appropriate installation location of the regenerative power absorber is determined based on the calculation results of the overhead line voltage fluctuations due to train powering or regeneration. Here, the overhead line voltage fluctuations are calculated based on the train schedule, weight, and speed, etc., and the location where the charging and discharging efficiency of the regenerative power absorber is high is determined based on the calculated changes in overhead line voltage fluctuations. However, it is not possible to determine the appropriate installation location of the regenerative power absorber while also considering the operating parameters of the regenerative power absorber.

[0007] Not only the installation location of a regenerative power absorption device, but also its specifications and operating parameters affect the amount of energy that can be effectively utilized by installing the device. For example, even if two regenerative power absorption devices are installed in the same location, if the operating parameter, the absorption start voltage, is different, the amount of energy that can be effectively utilized by each device will also differ. Therefore, when considering the introduction of a regenerative power absorption device, it is necessary to consider the operating parameters of the device and determine the appropriate specifications and installation location.

[0008] This disclosure is made to solve the aforementioned problems and provides an energy analysis device that assists in determining the appropriate specifications and installation location of a newly installed regenerative power absorption device.

[0009] An energy analyzer used to determine at least one of the device introduction conditions, which are the specifications, installation location, and operating parameters, for a regenerative power absorption device that absorbs regenerative power generated by the operation of a train and supplies power to an overhead line that supplies power to the train, comprising: a data acquisition unit that acquires train operation performance data showing the operation performance of a train and section definition data that defines the section set for the device introduction conditions; an energy data calculation unit that calculates energy data, which is a statistical amount of power-related data for each section, based on the train operation performance data and creates section correspondence data showing the correspondence between the section and the energy data; and a display unit that displays the section and the energy data according to this correspondence.

[0010] The power consumption analyzer described herein calculates power consumption data, which is a statistical quantity of power-related data, for each section set in relation to the installation conditions for the regenerative power absorption device, based on train running performance data, and creates section correspondence data that shows the correspondence between the section and the power consumption data. By displaying the section and power consumption data according to the correspondence shown in this section correspondence data, it is possible to confirm the power consumption data that particularly affects the amount of power absorbed or supplied by the regenerative power absorption device, depending on the installation conditions. As a result, it is possible to support the determination of appropriate specifications and installation locations for newly installed regenerative power absorption devices, taking into account the operating parameters of the regenerative power absorption device.

[0011] This figure shows an example of the configuration of the power consumption analysis system according to Embodiment 1. This figure shows an example of train running performance data according to Embodiment 1. This figure shows an example of the configuration of the computer system according to Embodiment 1. This figure shows an example of the configuration of the power consumption analyzer according to Embodiment 1. This figure shows an example of a common section definition for all conditions included in the section definition data according to Embodiment 1. This figure shows an example of each condition section definition included in the section definition data according to Embodiment 1. This figure shows an example of the information indicated by the model code according to Embodiment 1. This figure shows an example of section-corresponding data according to Embodiment 1. This figure shows an example of data obtained by dividing train running performance data according to Embodiment 1 based on section definition data the operation of the power consumption analyzer according to Embodiment 1. This is a flowchart showing the operation of the power consumption data calculation unit included in the power consumption analyzer according to Embodiment 1. This figure shows an example of the configuration of the power consumption analysis system according to Embodiment 2. This figure shows an example of external equipment power consumption data according to Embodiment 2. This figure shows an example of the configuration of the power consumption analyzer according to Embodiment 2. This is a flowchart showing the operation of the power consumption analyzer according to Embodiment 2. This figure shows an example of the configuration of the power consumption analyzer according to Embodiment 3. This figure shows an example of each condition interval definition included in the interval definition data according to Embodiment 3. This figure shows an example of priority data according to Embodiment 3. This figure shows an example of each condition interval definition included in the interval definition data according to Embodiment 3. This figure shows an example of priority data according to Embodiment 3. This figure shows an example of each condition interval definition included in the interval definition data according to Embodiment 3. This figure shows an example of priority data according to Embodiment 3. This flowchart shows the operation of the power consumption analyzer according to Embodiment 3. This figure shows an example of the configuration of the power consumption analyzer according to Embodiment 4. This figure shows an example of the device operation status simulation results according to Embodiment 4.This figure shows an example of the simulation results of the device operation status according to Embodiment 5. This is a flowchart showing the operation of the power consumption analyzer according to Embodiment 4. This figure shows an example of the configuration of the power consumption analysis system according to Embodiment 5. This figure shows an example of the operation performance data of existing devices according to Embodiment 5. This figure shows an example of the configuration of the power consumption analyzer according to Embodiment 5. This figure shows an example of each condition interval definition included in the interval definition data according to Embodiment 5. This figure shows an example of the data corresponding to the interval of existing devices according to Embodiment 5. This figure shows an example of the data corresponding to the interval of existing devices according to Embodiment 5. This figure shows an example of the data obtained by dividing the operation performance data of existing devices according to the interval definition data according to Embodiment 5. This figure shows an example of the data corresponding to the interval of existing devices according to Embodiment 5. This figure shows an example of the data corresponding to the interval of existing devices according to Embodiment 5. This figure shows an example of the data corresponding to the interval of existing devices according to Embodiment 5. This is a flowchart showing the operation of the power consumption analyzer according to Embodiment 5. This is a flowchart showing the operation of the power consumption data calculation unit included in the power consumption analyzer according to Embodiment 5.

[0012] The embodiments will be described in detail below with reference to the drawings. Note that the embodiments described below are illustrative examples. Furthermore, each embodiment can be combined as appropriate.

[0013] <Embodiment 1> <Configuration of the Energy Consumption Analysis System> The energy consumption analysis device 1 according to Embodiment 1 will be described using Figures 1 to 11. Figure 1 is a diagram showing an example configuration of the energy consumption analysis system 100 according to Embodiment 1. As shown in Figure 1, the energy consumption analysis system 100 comprises an energy consumption analysis device 1, a train 2, and a data collection device 3. The energy consumption analysis device 1 will be described in detail later using Figure 4.

[0014] Train 2 consists of one or more cars. In the power consumption analysis system 100, the number of trains 2 only needs to be one or more. Train 2 also includes a communication unit 21 that communicates with the communication unit 31 of the data acquisition device 3, and onboard equipment (not shown) that acquires train running performance data 13a. The communication unit 21 transmits the train running performance data 13a acquired by the onboard equipment to the data acquisition device 3. Here, the train running performance data 13a is data that shows the running performance of train 2. The train running performance data 13a may also include weather-related information regarding the weather conditions at the time of train 2's operation. Examples of weather-related information include outside temperature and rainfall conditions.

[0015] Figure 2 will be used to explain the details of the train running performance data 13a. Figure 2 is a diagram showing an example of the train running performance data 13a. For example, as shown in Figure 2, the train running performance data 13a includes data on train set number, date, time, direction of travel, running position, outside temperature, wiper operation status, overhead line voltage, overhead line current, regenerative braking force command, and regenerative braking force performance. The train set number is an item used to identify train 2. The direction of travel is an item used to indicate whether train 2 is traveling in the uphill or downhill direction. The wiper operation status is an item used to identify the rainfall situation, with "TRUE" indicating that the wipers are operating and "FALSE" indicating that the wipers are not operating. The overhead line current is the value of the overhead line current measured in train 2, and in Figure 2, it is shown as a positive value when train 2 is consuming power and as a negative value when train 2 is generating regenerative power. The regenerative braking force command is the value of the braking force required to stop train 2 using regenerative braking. The regenerative braking force value is the value of the braking force actually generated to stop train 2 using regenerative braking. Note that the train running performance data 13a shown in Figure 2 is just an example and is not limited to these. The train running performance data 13a may also include data such as the occupancy rate for each train 2.

[0016] The data acquisition device 3 is a device for managing train running performance data 13a. The data acquisition device 3 includes a communication unit 31 that communicates with devices outside the data acquisition device 3 and collects train running performance data 13a. The communication unit 31 communicates with the communication unit 21 of each train 2 and with the communication unit 11 of the power consumption analyzer 1, which will be described later. The communication unit 31 receives the train running performance data 13a output from the communication unit 21 of each train 2 and outputs the train running performance data 13a to the power consumption analyzer 1, which will be described later. The communication unit 31 of the data acquisition device 3 and the communication unit 21 of the train 2 may be connected to each other via wireless communication. The wireless communication method is not particularly limited.

[0017] The data acquisition device 3 collects train running performance data 13a according to an arbitrary acquisition cycle. Here, the acquisition cycle can be arbitrarily set between, for example, several tens of milliseconds and one second. The data acquisition device 3 transmits the collected train running performance data 13a to the power consumption analyzer 1, which will be described later, according to an arbitrary transmission cycle. Here, the transmission cycle can be arbitrarily set between, for example, several minutes and one hour.

[0018] The aforementioned method for collecting train operation data 13a is merely an example and is not limited to these methods.

[0019] Furthermore, the power consumption analyzer 1 and data acquisition device 3 shown in Figure 1 may be implemented as cloud-based functions, or they may be one of the hardware components in the power consumption analysis system 100.

[0020] <Operation of the Energy Quantity Analyzer> Next, the energy quantity analyzer 1 will be described. The energy quantity analyzer 1 assists in determining the appropriate specifications, installation location, and operating parameters of the newly installed regenerative power absorption device, which are the device introduction conditions. The regenerative power absorption device is installed to be connected to the overhead line and performs at least one of the following: absorbing the regenerative power generated by the operation of train 2, and supplying power to the overhead line that supplies power to train 2. Here, the regenerative power absorption device supplies the absorbed regenerative power to the overhead line that supplies power to train 2 or to external facilities such as station buildings. Examples of regenerative power absorption devices include power converters, energy storage devices, and substations, but these are just examples and are not limited to these.

[0021] When installing a new regenerative power absorption device, the amount of electricity that can be effectively utilized will vary depending on the device installation conditions.

[0022] The specifications of a regenerative power absorption device, which are a requirement for introducing the device, indicate, for example, the rated power, which is the power that the regenerative power absorption device can continuously absorb or supply. Even if the installation location and operating parameters of the regenerative power absorption device are the same, if the rated power of the specifications differs, it is likely that a higher rated power will allow for more energy to be effectively utilized. On the other hand, it is likely that the higher the rated power of the regenerative power absorption device, the higher the cost of purchasing the equipment. Therefore, when installing a new regenerative power absorption device, it is necessary to determine the appropriate specifications of the regenerative power absorption device by considering the amount of energy that can be effectively utilized and the cost of purchasing the equipment.

[0023] One factor that affects the amount of electricity that can be effectively utilized, depending on the installation location of the regenerative power absorption device (RSS), is that the amount of electricity that can be effectively utilized changes depending on the frequency of train operations near the RSS installation location. Specifically, when train 2 that generates regenerative power and train 2 that is accelerating are close together, the generated regenerative power is consumed by train 2 that is accelerating. Therefore, even if a RSS is installed in a location where most of the generated regenerative power is consumed by train 2 that is accelerating, the RSS will absorb very little regenerative power, resulting in a small amount of electricity that can be effectively utilized. For this reason, when installing a new RSS, it is necessary to determine an appropriate installation location for the RSS considering the amount of electricity that can be effectively utilized.

[0024] The operating parameters of the regenerative power absorption device, which are a requirement for introducing the device, include, for example, the supply start voltage, which is the standard for the regenerative power absorption device to supply power, and the absorption start voltage, which is the standard for the regenerative power absorption device to absorb power. If the absorption start voltage is too high, the time for the regenerative power absorption device to perform absorption control decreases, resulting in less power being effectively utilized. On the other hand, if the absorption start voltage is too low, the regenerative power absorption device will perform absorption control excessively, and the device will absorb power that should have been consumed by train 2, which is inefficient. Therefore, when installing a new regenerative power absorption device, it is necessary to determine the appropriate operating parameters of the regenerative power absorption device while considering the amount of power that can be effectively utilized.

[0025] When actually installing a regenerative power absorption device, it is difficult to change the specifications and installation location after the device has been installed. However, the optimal operating parameters can be set by conducting on-site tests after the device has been installed. In this case, it is also possible to determine the appropriate specifications and installation location by considering the operating parameters before installing the regenerative power absorption device, and then determine the optimal operating parameters after the device has been installed.

[0026] The energy consumption analyzer 1 calculates the power status of train 2 near the installation location of the regenerative power absorption device by analyzing past train running data 13a, assuming that the regenerative power absorption device has been installed, in order to assist in determining appropriate device installation conditions for the regenerative power absorption device. Examples of the power status of train 2 near the installation location of the regenerative power absorption device include power consumption during acceleration, power consumption during regeneration, power consumption after regeneration reduction, and ideal power consumption. Here, power consumption after regeneration reduction is the amount of power that train 2 has wasted as heat as surplus regenerative power, and ideal power consumption is the sum of power consumption during regeneration and power consumption after regeneration reduction. The energy consumption analyzer 1 calculates and displays energy consumption data as the calculated power status of train 2 near the installation location of the regenerative power absorption device.

[0027] <Configuration of the Computer System for Realizing the Energy Consumption Analyzer> Figure 3 is a diagram showing an example configuration of a computer system that realizes each of the energy consumption analyzers 1 of this embodiment. In this embodiment, the energy consumption analyzer 1 functions as an energy consumption analyzer 1 when a computer program, which describes the processing in each of the energy consumption analyzers 1, is executed on the computer system. As shown in Figure 3, this computer system includes a processor 101, memory 102, display 103, and input interface (I / F) 104.

[0028] In Figure 3, the processor 101 is, for example, a CPU (Central Processing Unit) and executes a program that describes the processing in the power consumption analyzer 1. The memory 102 includes various storage media such as RAM (Random Access Memory) and ROM (Read Only Memory), as well as storage devices such as hard disks, and stores the program that the processor 101 should execute, necessary data obtained during the processing, etc. The memory 102 is also used as a temporary storage area for the program. The processor 101 and memory 102 constitute, for example, a processing circuit. The processing circuit may be one circuit or multiple circuits. The display 103 is, for example, an LCD (Liquid Crystal Display) and displays various screens to the user of the computer system. The input interface 104 consists of, for example, a keyboard, buttons, a mouse, etc., and is used by the user of the computer system to input various information. The display 103 may also be a touch panel integrated with the input interface 104. Furthermore, Figure 3 is just one example, and the configuration of the computer system that realizes each of the energy analyzers 1 is not limited to the example shown in Figure 3.

[0029] Here, an example of the operation of the computer system until the program of this embodiment becomes executable will be described. In a computer system with the above configuration, for example, the program is installed in memory 102 from a CD-ROM or DVD-ROM set in a CD (Compact Disc)-ROM drive or DVD (Digital Versatile Disc)-ROM drive (not shown). When the program is executed, the program read from memory 102 is stored in the main memory area of ​​memory 102. In this state, the processor 101 performs processing as each component of the power quantity analyzer 1 of this embodiment according to the program stored in memory 102.

[0030] In the above description, a program describing the processing in each of the power analysis devices 1 is provided using a CD-ROM or DVD-ROM as the recording medium. However, the system is not limited to this, and depending on the configuration of the computer system, the capacity of the program to be provided, a program provided via a transmission medium such as the Internet via the communication unit 11 may also be used.

[0031] <Configuration of the Energy Consumption Analyzer> Figure 4 shows an example of the configuration of the energy consumption analyzer 1 according to Embodiment 1. The energy consumption analyzer 1 in Figure 4 comprises a communication unit 11, a processing unit 12, a storage unit 13, and a display unit 14.

[0032] <Operation of the Communication Unit> The communication unit 11 communicates with the communication unit 31 of the data acquisition device 3. The communication unit 11 receives train running performance data 13a output from the communication unit 31 of the data acquisition device 3 and outputs the train running performance data 13a to the processing unit 12. The communication unit 11 and the communication unit 31 may be connected to each other so as to be able to communicate via wireless communication, or they may be connected to each other so as to be able to communicate via a network. The wireless communication method and network are not particularly limited.

[0033] <Configuration of the Processing Unit> The processing unit 12 includes a data acquisition unit 120 and a power consumption data calculation unit 121. The data acquisition unit 120 includes a train running performance data acquisition unit 12a and a section definition data acquisition unit 12b. The train running performance data acquisition unit 12a stores the train running performance data 13a acquired by the communication unit 11 from the data collection device 3 in a storage unit 13, and retrieves the train running performance data 13a from the storage unit 13 and outputs it to the power consumption data calculation unit 121. Here, the train running performance data acquisition unit 12a may not store the acquired train running performance data 13a in the storage unit 13, but may directly output the train running performance data 13a acquired from the data collection device 3 to the power consumption data calculation unit 121. The section definition data acquisition unit 12b retrieves section definition data 13b from the storage unit 13 and outputs it to the power consumption data calculation unit 121. The train operation performance data acquisition unit 12a and the section definition data acquisition unit 12b may be a communication device, an interface for a communication device, or the power consumption analyzer 1 itself.

[0034] <Structure of Section Definition Data> Section definition data 13b is data used by the power consumption data calculation unit 121, described later, when calculating power consumption data, and defines the sections set for each of the device introduction conditions of the newly installed regenerative power absorption device. This section is determined by the section definition shown in section definition data 13b. Section definition data 13b shows the section definition for items included in the train running performance data 13a that affect the operating status of the newly installed regenerative power absorption device. Here, among the items included in the train running performance data 13a, the section definitions for items that affect the operating status of the newly installed regenerative power absorption device include, for example, the section definition for outside temperature included in the train running performance data 13a shown in Figure 2, the section definition for wiper operation status included in the train running performance data 13a shown in Figure 2, the section definition for direction of travel and running position included in the train running performance data 13a shown in Figure 2, the section definition for time included in the train running performance data 13a shown in Figure 2, the section definition for overhead line voltage included in the train running performance data 13a shown in Figure 2, and the section definition for power calculated based on at least the overhead line voltage and overhead line current among the overhead line voltage, overhead line current, regenerative braking force command and regenerative braking force actuals included in the train running performance data 13a shown in Figure 2. The method of using the sections defined by each section definition shown in the section definition data 13b will be explained in the power amount data calculation unit 121 described later.

[0035] The details of the interval definition data 13b will be explained using Figures 5a and 5b. Figures 5a and 5b show examples of the interval definition data 13b. For example, as shown in Figures 5a and 5b, the interval definition data 13b consists of an interval definition common to all conditions and interval definitions for each condition. Here, the interval definition common to all conditions is an interval definition common to all of the device introduction conditions for the regenerative power absorption device. In addition, each interval definition for each condition is an interval definition for each of the device introduction conditions for the regenerative power absorption device.

[0036] Using Figure 5a, we will explain the details of the common interval definitions for all conditions included in the interval definition data 13b, and the method for determining intervals based on the interval definitions included in the common interval definitions for all conditions. Figure 5a is a diagram showing an example of a common interval definition for all conditions. For example, as shown in Figure 5a, the common interval definition for all conditions includes an interval name, a reference value, an interval width, and individual values. Based on the values ​​of the reference value, interval width, and individual values, an interval is determined for the interval name.

[0037] <Definition of Temperature Intervals> The interval name shown in the first row of the common interval definition for all conditions in Figure 5a is "Temperature," and it indicates the temperature interval definition. Based on the temperature interval definition, temperature intervals are determined. A temperature interval is an interval related to temperature, and for example, it is an interval for the outside temperature included in the train running performance data 13a shown in Figure 2. Regarding the method of determining temperature intervals based on the temperature interval definition, for example, if the reference value included in the temperature interval definition is T0 and the interval width is Ts, then for the temperature T(t) at time t, the temperature interval is expressed by the following equation (1).

[0038]

[0039] Specifically, as shown in the first row of the common interval definition for all conditions in Figure 5a, when the reference value is "0 (°C)" and the interval width is "1 (°C)", the temperature interval is expressed by the following equation (2) with respect to the temperature T (t).

[0040]

[0041] <Definition of Weather (Rain) Section> The section name shown in the second row of the common section definition for all conditions in Figure 5a is "Weather (Rain)", indicating the definition of the Weather (Rain) section. Based on the Weather (Rain) section definition, the Weather (Rain) section is determined. The Weather (Rain) section is a section related to rainfall conditions, for example, it is the section related to the wiper operation status included in the train running performance data 13a shown in Figure 2. Here, rainfall conditions are defined as the percentage of time it rained during the train's running time. The method for calculating rainfall conditions will be described later. Regarding the method for determining the Weather (Rain) section based on the Weather (Rain) section definition, for example, if the reference value included in the Weather (Rain) section definition is W0, the section width is Ws, and the individual value is W1, and W1 = W0, then for the rainfall condition W(t) at time t, the Weather (Rain) section is expressed by the following equation (3).

[0042]

[0043] Specifically, as shown in the second line of the all-condition common interval definition in FIG. 5a, when the reference value is "0 (%)", the interval width is "10 (%)", and the individual value is "0 (%)", the weather (rain) interval is represented by the following formula (4) with respect to the rainfall situation W(t).

[0044]

[0045] Note that the methods for determining the temperature interval and the weather (rain) interval are not limited to these. For example, the type and position of the inequality signs do not have to be the same as those in formulas (1) to (4). The temperature interval definition and the weather (rain) interval definition may be included in each condition interval definition instead of the all-condition common interval definition.

[0046] Using FIG. 5b, the details of each condition interval definition included in the interval definition data 13b and the method for determining the intervals based on the interval definitions included in each condition interval definition will be described. FIG. 5b is a diagram showing an example of each condition interval definition. For example, as shown in FIG. 5b, each condition interval definition includes a condition code, a model code, a position interval definition including a direction and position interval reference value A and a position interval reference value B, a time interval definition including a time width, a train voltage interval definition including a train voltage interval reference value A, a train voltage interval reference value B, and a train voltage interval width, and an ideal regenerative power interval definition including an ideal regenerative power interval width. The condition code is a code for identifying the combination of items included in each condition interval definition and indicates the device introduction conditions of the regenerative power absorption device. For example, as shown in FIG. 5b, the condition code indicates the combination of the model code, the position interval definition, the time interval definition, the train voltage interval definition, and the ideal regenerative power interval definition. The model code is a code for identifying the specifications of the regenerative power absorption device and is determined by the model and model number, etc. of the regenerative power absorption device. FIG. 6 is a diagram showing an example of the information indicated by the model code. For example, as shown in FIG. 6, the model code indicates the model name, model number, rated power, and equipment cost.

[0047] <Definition of Position Section> Based on the position section definitions included in each condition section definition in Figure 5b, the position section is determined. The position section is the section relating to the direction of travel and the running position of train 2, and is, for example, the section relating to the direction of travel and the running position included in the train running performance data 13a shown in Figure 2. The direction included in the position section definition is expressed as either "upbound", "downbound", or "upbound / downbound". Regarding the method of determining the position section based on the position section definition, for example, the position section relating to the direction of travel is determined by the direction included in the position section definition, and if the position section reference value A is L1 and the position section reference value B is L2, then the position section relating to the train running position L(t) at time t is expressed by the following equation (5).

[0048]

[0049] Specifically, as shown in the row for condition code "001" in the definition of each condition interval in Figure 5b, when the direction is "up" or "down", the position interval reference value A is "2.0 (km)", and the position interval reference value B is "4.0 (km)", the position interval with respect to the direction of travel is "up" or "down", and the position interval with respect to the train running position L(t) is expressed by the following equation (6).

[0050]

[0051] The direction, position interval reference value A, and position interval reference value B included in the position interval definition may be set based on the device installation conditions of the regenerative power absorption device.

[0052] <Definition of Time Intervals> Based on the time interval definitions included in each condition interval definition in Figure 5b, time intervals are determined. A time interval is a time interval, for example, a time interval corresponding to the time included in the train running performance data 13a shown in Figure 2. Regarding the method of determining time intervals based on time interval definitions, for example, if the time width included in the time interval definition is ts, and the reference time is "0:00:00" as t0, then the time interval for time t is expressed by the following equation (7).

[0053]

[0054] Specifically, as shown in the row for condition code "001" in the definition of each condition interval in Figure 5b, when the time width is "1:00:00", the time interval is expressed by the following equation (8) with respect to time t.

[0055]

[0056] When the time intervals set for each condition code are all the same, the time interval definition may be included in a common interval definition for all conditions rather than in each individual condition interval definition.

[0057] <Definition of Train Voltage Section> Based on the train voltage section definitions included in each condition section definition in Figure 5b, the train voltage section is determined. The train voltage section is the section relating to the overhead line voltage measured by train 2, and is, for example, the section relating to the overhead line voltage included in the train running performance data 13a shown in Figure 2. Regarding the method of determining the train voltage section based on the train voltage section definition, for example, if the train voltage section reference value A included in the train voltage section definition is Vt1, the train voltage section reference value B is Vt2, and the train voltage section width is Vts, and Vt2 > Vt1, and the train voltage section width Vts is a value that divides Vt2 - Vt1 evenly, then the train voltage section is given by the following equation (9) with respect to the overhead line voltage Vt(t).

[0058]

[0059] Specifically, as shown in the row for condition code "001" in the definition of each condition interval in Figure 5b, when the train voltage interval reference value A is "1200 (V)", the train voltage interval reference value B is "1600 (V)", and the train voltage interval width is "50 (V)", the train voltage interval is given by the following equation (10) with respect to the overhead line voltage Vt (t).

[0060]

[0061] Furthermore, for each condition code, it is sufficient that at least one of the train voltage section reference value A and train voltage section reference value B is defined as the train voltage section definition. Specifically, as shown in the row for condition code "501" in the condition section definition of each condition section in Figure 5b, when the value of train voltage section reference value A is not defined, and train voltage section reference value B is "1550 (V)" and the train voltage section width is "100 (V)", the train voltage section is expressed by the following equation (11) with respect to the overhead line voltage Vt (t).

[0062]

[0063] The train voltage section reference value A and the train voltage section reference value B may be set based on the operating parameters included in the device introduction conditions for the regenerative power absorption device. The train voltage section reference value A may be set based on, for example, the supply start voltage value. The train voltage section reference value B may be set based on, for example, the absorption start voltage value.

[0064] <Definition of Ideal Regenerative Power Section> Based on the ideal regenerative power section definition included in the definition of each condition section in Figure 5b, the ideal regenerative power section is determined. The ideal regenerative power section is the section relating to the ideal regenerative power measured by train 2, and is the section relating to the ideal regenerative power where the position section, time, and train voltage section are the same. For example, it is the section for the sum of the ideal regenerative power calculated from the voltage, current, brake force command, and brake force actual values ​​included in the train running performance data 13a, where the train set number is different, but the position section, time, and train voltage section are the same. Regarding the method of determining the ideal regenerative power section based on the ideal regenerative power section definition, for example, if the width of the ideal regenerative power section included in the ideal regenerative power section definition is Ps, and "0" is set as the reference power, then the ideal regenerative power section is expressed by the following equation (12) with respect to the power P(t).

[0065]

[0066] Specifically, as shown in the row for condition code "001" in the definition of each condition interval in Figure 5b, when the ideal regenerative power interval width is "50 (V)", the ideal regenerative power interval is expressed by the following equation (13) with respect to the power P(t).

[0067]

[0068] The ideal regenerative power interval width should be set based on the rated power, which is determined by the specifications included in the installation conditions for the regenerative power absorption device, for example. Note that the method for determining the ideal regenerative power interval width described above is just one example and is not limited to this method.

[0069] The method for determining the position interval, time interval, train voltage interval, and ideal regenerative power interval is not limited to these. For example, the type and position of the inequality signs do not have to be the same as those in equations (5) to (13).

[0070] The section definition data 13b is not limited to these. Section definition data 13b may also include, for example, section definitions related to the occupancy rate for each train 2, and section definitions related to the power measured by train 2. In addition to ideal regenerative power, the power measured by train 2 may include, for example, powering power, regenerative power, and regenerative throttling power.

[0071] <Operation of the Power Consumption Data Calculation Unit> The power consumption data calculation unit 121 calculates power consumption data, which is a statistical amount of power-related data calculated for each section determined by the section definition data 13b, based on the train running performance data 13a and the section definition data 13b, and creates section correspondence data 13c that shows the correspondence between each section and the power consumption data. The power consumption data calculation unit 121 may also calculate meteorological statistics, which are statistical amounts of weather-related information, based on the train running performance data 13a, and link the correspondence between each section and the meteorological statistics to the section correspondence data 13c. According to the correspondence shown in the section correspondence data 13c, the information shown by the section, meteorological statistics, and power consumption data includes device influence information, which is information that particularly affects the operating status of the newly installed regenerative power absorption device. Examples of device influence information include time-related information including the date and time; location-related information including the train's position, direction of travel, and installation location of the regenerative power absorption device; surrounding environment-related information including temperature and weather; voltage-related information measured on train 2; and power-related information including power and energy-related information measured on train 2.

[0072] Figure 7 will be used to explain the details of the section-corresponding data 13c. Figure 7 is a diagram showing an example of section-corresponding data 13c. In the power consumption data calculation unit 121, the train running performance data 13a is divided using sections for one or more items included in the train running performance data 13a determined by the section definition data 13b, and meteorological statistics and power consumption data are calculated by calculating statistical quantities such as the cumulative value or average value of each item from the divided train running performance data 13a. For example, as shown in Figure 7, according to the correspondence of the section correspondence data 13c, the following are shown: condition code, direction, date, time section and train voltage section, which are sections determined by the section definition data 13b; temperature section and weather (rain) section, which are meteorological statistics; and power energy data such as power energy, regenerative energy, minimum regenerative power, maximum regenerative power, regenerative reduction energy, ideal regenerative energy, ideal regenerative energy (power section: 0-50kW), ideal regenerative energy (power section: 50-100kW), ideal regenerative energy (power section: 100-150kW), and ideal regenerative energy (power section: 150-200kW).

[0073] The power consumption data calculation unit 121 divides the train running performance data 13a based on the position section, time section, and train voltage section determined by the section definition data 13b. From the divided data, it extracts sections corresponding to the meteorological statistics calculated based on the temperature section and weather (rain) section determined by the section definition data 13b for data where all information regarding date, position, time, and voltage matches. It then calculates statistics for power-related data and calculates statistics for the data divided based on the ideal regenerative power section, thereby calculating meteorological statistics and power consumption data. Examples of power-related data statistics include, for example, as shown in Figure 7, power consumption, regenerative power consumption, minimum regenerative power, maximum regenerative power, regenerative power reduction consumption, and ideal regenerative power consumption.

[0074] In the power consumption data calculation unit 121, the train running performance data 13a is divided using the sections defined by the section definition data 13b, and data that particularly affects the operating status of the newly installed regenerative power absorption device is extracted from the train running performance data 13a. By organizing the data that particularly affects the operating status of the newly installed regenerative power absorption device by section, meteorological statistics and power consumption data are calculated to create section-corresponding data 13c. Since the section-corresponding data 13c created in this way based on data that particularly affects the operating status of the regenerative power absorption device shows device impact information, it is expected that by using the section-corresponding data 13c when considering appropriate device introduction conditions for the newly installed regenerative power absorption device, it will be possible to consider device impact information in the examination and make a more accurate judgment.

[0075] <Effects of using positional sections and division methods> The positional sections determined by the section definition data 13b are sections relating to the direction of travel and the running position of train 2, and are used in the calculation of meteorological statistics and power consumption data in the power consumption data calculation unit 121. Since the train running performance data 13a is data for the entire running section of train 2, it includes data for when train 2 is running in the up direction, data for when train 2 is running in the down direction, and data for when train 2 is running outside the vicinity of the installation location of the newly installed regenerative power absorption device. On the other hand, situations in which the regenerative power absorption device is connected to only one of the up or down lines, and situations in which the regenerative power absorption device is connected to both the up and down lines are assumed. Therefore, the influence that train 2 has on the operating status of the regenerative power absorption device may differ depending on whether train 2 is running in the up or down direction. In addition, the range in which the regenerative power absorption device and train 2 influence each other when the regenerative power absorption device absorbs or supplies power is limited. Therefore, by dividing the train running performance data 13a based on the position sections included in the section definition data 13b, it is possible to extract data from the train running performance data 13a showing that train 2 is running within the range where the regenerative power absorption device and train 2 mutually influence each other, and to calculate meteorological statistics and power consumption data separated for each position-related section. When considering appropriate device introduction conditions for a newly installed regenerative power absorption device, using section-corresponding data 13c, which includes position-related sections, makes it possible to consider the running position of train 2, the direction of travel of train 2, and the installation position of the regenerative power absorption device, and it is expected that a more accurate judgment can be made.

[0076] As a method for dividing the train running performance data 13a based on location sections, for example, in the location section definition shown in the row of condition code "001" among the condition section definitions of the section definition data 13b in Figure 5b, the train running performance data 13a is divided based on the direction of travel and running position of the train running performance data 13a according to the location section "upbound / downbound" and "2.0 ≤ L(t) ≤ 4.0", and the condition code "001" and the direction "upbound" or "downbound" are associated. Here, since the location section with respect to the direction of travel is "upbound / downbound", the power consumption data is divided into data where the direction is "downbound", as shown in the first to fourth rows of the section-corresponding data 13c in Figure 7, and data where the direction is "upbound", as shown in the fifth and sixth rows of the section-corresponding data 13c in Figure 7. Note that the method of dividing the train running performance data 13a based on location sections as described above is just one example and is not limited to these.

[0077] <Effects of using time intervals and division method> The time intervals determined by the interval definition data 13b are intervals related to time and are used in the calculation of meteorological statistics and power consumption data in the power consumption data calculation unit 121. Since train 2 operates based on a predetermined timetable, the operating status of train 2 is related to time. When a regenerative power absorption device is installed, the operating status of train 2 affects the operating status of the regenerative power absorption device, so it can be said that the operating status of the regenerative power absorption device is related to time. By dividing the train running performance data 13a based on the time intervals included in the interval definition data 13b, meteorological statistics and power consumption data can be calculated separated for each time interval. When considering appropriate device introduction conditions for a newly installed regenerative power absorption device, using the interval-corresponding data 13c, which includes intervals related to time, makes it possible to consider time in the examination, and it is expected that a more accurate judgment can be made.

[0078] As a method for dividing the train running performance data 13a based on time intervals, for example, the train running performance data 13a corresponding to condition code "001" is divided based on the time intervals "0:00:00≦t<1:00:00, 1:00:00≦t<2:00:00,…,23:00:00≦t<24:00:00" determined by the time interval definition shown in the row of condition code "001" among the condition interval definitions of the interval definition data 13b in Figure 5b. Furthermore, based on the time intervals "0:00:00≦t<0:30:00, 0:30:00≦t<1:00:00,…,23:30:00≦t<24:00:00" determined by the time interval definition shown in the row for condition code "501" among the condition interval definitions in the interval definition data 13b of Figure 5b, the train running performance data 13a corresponding to condition code "501" is divided. Note that the method of dividing the train running performance data 13a based on the time intervals described above is just one example and is not limited to these.

[0079] <Effects and division method of using train voltage sections> The train voltage sections determined by the section definition data 13b are sections related to the overhead line voltage measured by train 2, and are used in the calculation of meteorological statistics and energy data in the energy data calculation unit 121. Regenerative power absorption devices are controlled based on voltage. For example, when the regenerative power absorption device is an energy storage device, the discharge start voltage and charge start voltage are set as the supply start voltage and absorption start voltage, respectively, and the energy storage device discharges when the voltage is less than or equal to the discharge start voltage, and charges when the voltage is greater than or equal to the charge start voltage. Therefore, it can be said that the overhead line voltage measured by train 2 affects the operating status of the newly installed regenerative power absorption device. By dividing the train running performance data 13a based on the train voltage sections determined by the section definition data 13b, meteorological statistics and energy data can be calculated separated for each voltage-related section. When considering appropriate device introduction conditions for a newly installed regenerative power absorption device, using the section-corresponding data 13c, which includes voltage-related sections, makes it possible to make decisions that take into account voltage-related operating parameters, and it is expected that decisions can be made more accurately.

[0080] As a method for dividing the train running performance data 13a based on the train voltage section, for example, if the train running performance data 13a is divided based on the train voltage section determined by the train voltage section definition shown in the row of condition code "001" among the condition section definitions of the section definition data 13b in Figure 5b, "..., 1150≦Vt(t)<1200, 1200≦Vt(t)<1250, 1250≦Vt(t)<1300,..., 1600≦Vt(t)<1650,...", then the train running performance data 13a with condition code "001", direction "down", and time section "10:00:00-11:00:00" is further divided by the train voltage section and represented as shown in the first to fourth rows of the section corresponding data 13c in Figure 7. The method of dividing the train running performance data 13a based on the train voltage intervals included in each condition interval definition of the interval definition data 13b described above is just one example and is not limited to these.

[0081] Figure 8 shows an example of data obtained by dividing the train running performance data 13a shown in Figure 2 using location sections, time sections, and train voltage sections determined by section definition data 13b, and linking the corresponding location sections, time sections, and train voltage sections. The power consumption data calculation unit 121 extracts sections corresponding to meteorological statistics calculated based on temperature sections and weather (rain) sections determined by section definition data 13b for data from Figure 8 where all information regarding date, location, time, and voltage matches, calculates statistics for power-related data, and calculates statistics for data divided based on ideal regenerative power sections, thereby calculating meteorological statistics and power consumption data, and creating section-corresponding data 13c.

[0082] <Effects of using temperature intervals and extraction method> The temperature intervals determined by the interval definition data 13b are intervals related to temperature and are used in the calculation of meteorological statistics in the power consumption data calculation unit 121. Since changes in outside temperature affect the power consumption of train 2, it can be said that they affect the operating status of the newly installed regenerative power absorption device. For example, when the outside temperature is high, the power consumption of the in-car air conditioning equipment of train 2 increases, so it is conceivable that the amount of power absorbed by the regenerative power absorption device will decrease. By extracting appropriate temperature intervals as meteorological statistics based on the temperature intervals determined by the interval definition data 13b and the train running performance data 13a, interval-corresponding data 13c that includes meteorological statistics related to temperature can be created. When considering appropriate device introduction conditions for the newly installed regenerative power absorption device, using interval-corresponding data 13c that includes intervals related to temperature makes it possible to consider the impact of temperature on the operating status of the regenerative power absorption device, and it is expected that a more accurate judgment can be made.

[0083] As a method for extracting appropriate temperature intervals as meteorological statistics, for example, the average value of the outside temperature for each train 2 in the target train running performance data 13a is calculated, and the average value of the outside temperature in the target train running performance data 13a is calculated based on the average value of the outside temperature for each train 2.

[0084] Specifically, based on the location section, time section, and train voltage section determined by the section definition data 13b shown in Figure 8, the average outside temperature is calculated for each train 2 with different train set numbers, based on data where the train set number, condition code, direction, date, time section, and train voltage section are the same, as shown in the first to third rows of Figure 8. As shown in the first to third rows of Figure 8, the outside temperature value is "18.8", so for the data with train set number "T0001", condition code "001", direction "down", date "2023 / 04 / 01", time section "10:00:00-11:00:00", and train voltage section "1450-1500", the average outside temperature is calculated to be "18.8". Based on these average outside temperatures for each train 2, the average outside temperature corresponding to the target data is calculated and the corresponding temperature section is extracted. When the average outside temperature is calculated to be "18.8", the temperature range "18-19" is selected as the corresponding temperature interval.

[0085] Furthermore, the method for extracting appropriate temperature intervals as meteorological statistics is not limited to this. For example, the average outside temperature may be calculated directly from the target data without distinguishing the data by train set number. Specifically, the average outside temperature may be calculated using data with the same condition code, direction, date, time interval, and train voltage interval from the train running performance data 13a divided based on the location interval, time interval, and train voltage interval included in the interval definition data 13b, and the corresponding temperature interval may be extracted. Alternatively, the average outside temperature may be calculated using data with the same condition code, direction, date, and time interval from the train running performance data 13a divided based on the location interval, time interval, and train voltage interval included in the interval definition data 13b, and the corresponding temperature interval may be extracted.

[0086] <Effects and Extraction Method of Using Weather (Rain) Sections> The weather (rain) sections included in the section definition data 13b are sections related to rainfall conditions and are used in the calculation of meteorological statistics in the power consumption data calculation unit 121. Whether or not it is raining may affect the operation status and power consumption of train 2. For example, delays are more likely to occur in rainy weather than in sunny weather, and braking is slower in rainy weather because it is more slippery than in sunny weather. Therefore, it can be said that rainfall conditions affect the operation status of the newly installed regenerative power absorption device. By extracting sections related to appropriate rainfall conditions as meteorological statistics based on the weather (rain) sections determined by the section definition data 13b and the train running performance data 13a, section-corresponding data 13c that includes meteorological statistics related to rainfall conditions can be created. When considering appropriate device introduction conditions for the newly installed regenerative power absorption device, using section-corresponding data 13c that includes sections related to rainfall conditions makes it possible to consider the impact of rainfall conditions on the operation status of the regenerative power absorption device, and it is expected that a more accurate judgment can be made.

[0087] As a method for extracting appropriate weather (rain) sections as meteorological statistics, for example, the rainfall situation for each train 2 in the target train running performance data 13a is calculated, and the rainfall situation for the target train running performance data 13a is calculated based on the rainfall situation for each train 2.

[0088] Specifically, based on the position section, time section, and train voltage section determined by the section definition data 13b shown in Figure 8, the train running performance data 13a is divided. As shown in the first to third rows of Figure 8, based on data where the train set number, condition code, direction, date, time section, and train voltage section are the same, the percentage of data in the train running performance data 13a where the wiper operation status is "TRUE" (operating) is calculated as the rainfall status for each train pair with a different train set number. The average value of the rainfall status for each train pair is then calculated, and the corresponding weather (rain) section is extracted. Here, if the weather (rain) section is "0, 0 < W(t) ≤ 10, 10 < W(t) ≤ 20, ..., 90 < W(t) ≤ 100", and 40 out of the 100 target data are "TRUE", the rainfall status is calculated as 40%, and the weather (rain) section "30-40" is extracted.

[0089] The method for extracting appropriate weather (rain) sections as meteorological statistics is not limited to this. For example, rainfall conditions may be calculated directly from the target data without distinguishing the data by train set number. Specifically, rainfall conditions may be calculated using data with the same condition code, direction, date, time section, and train voltage section from the train running performance data 13a divided based on the location section, time section, and train voltage section included in the section definition data 13b, and the corresponding weather (rain) sections may be extracted. Alternatively, for example, rainfall conditions may be calculated using data with the same condition code, direction, date, and time section from the train running performance data 13a divided based on the location section, time section, and train voltage section included in the section definition data 13b, and the corresponding weather (rain) sections may be extracted.

[0090] However, the sections determined by the section definition data 13b included in the section correspondence data 13c are not limited to these. For example, if the train running performance data 13a includes data on the occupancy rate for each train 2, and the section definition data 13b includes section definitions related to the occupancy rate for each train 2, the section related to the occupancy rate for each train 2 may be extracted and linked to the section correspondence data 13c.

[0091] <Method for Calculating Electricity Data> The electricity data calculation unit 121 calculates statistical quantities, including the integrated value of electricity data, for data from the train running performance data 13a that has been divided based on the sections determined by the section definition data 13b, where the condition code, direction, date, time section, and train voltage section all match, and calculates electricity data. The electricity data calculation unit 121 calculates the minimum value, maximum value, and variance as statistical quantities.

[0092] Examples of energy data include, but are not limited to, the power output, such as the power output of the power being used for powering, the power output of the power being used for regeneration, the minimum power output of the power being used for regeneration, the maximum power output of the power being used for regeneration with reduced power output, and the ideal power output of the power being used for ideal regeneration. Other examples include the average power output of the power being used for regeneration and the variance of the power being used for regeneration.

[0093] <Method for calculating power output included in power output data> As a method for calculating power output, for example, the positive values ​​obtained by multiplying the overhead line voltage and overhead line current included in the target train running performance data 13a are calculated as power output, and the power output is calculated by adding up the calculated power output values.

[0094] Specifically, the amount of power used for acceleration is calculated based on the train running performance data 13a, which is divided based on the position section, time section, and train voltage section determined by the section definition data 13b shown in Figure 8, and the train running performance data 13a is divided into sections where the train formation number, condition code, direction, date, time section, and train voltage section are the same, as shown in the first to third rows of Figure 8.

[0095] First, we calculate the power for each row of data. As shown in the first row of Figure 8, when the overhead line voltage is "1482" and the overhead line current is "15.7", the power for the overhead line is calculated to be "23.3" by multiplying the overhead line voltage by the overhead line current. Here, the unit of overhead line voltage is V, the unit of overhead line current is A, and the unit of power for the overhead line is kW.

[0096] Next, the amount of power used is calculated by adding up the power used for each row of data. The amount of power used for the data with the same train set number, condition code, direction, date, time section, and train voltage section as the first row of Figure 8 is calculated by adding up the power used in the same way. This gives the amount of power used for the data with train set number "T0001", condition code "001", direction "down", date "2023 / 04 / 01", time section "10:00:00-11:00:00", and train voltage section "1450-1500".

[0097] Next, the amount of power used for the data with the same condition code, direction, date, time section, and train voltage section, but different train set numbers, is calculated by adding up the calculated amounts of power used for each data set. This calculates the amount of power used for the data set with condition code "001", direction "downbound", date "2023 / 04 / 01", time section "10:00:00-11:00:00", and train voltage section "1450-1500".

[0098] The method for calculating the power output is not limited to these methods. For example, the power output may be calculated directly from the target data without distinguishing the data by train set number. Specifically, the power output may be calculated using data from the train running performance data 13a, which is divided based on the location section, time section, and train voltage section included in the section definition data 13b, where the condition code, direction, date, time section, and train voltage section are the same.

[0099] <Method for calculating regenerative energy included in power consumption data> As a method for calculating regenerative energy, for example, the negative values ​​obtained by multiplying the overhead line voltage and overhead line current included in the target train running performance data 13a are calculated as regenerative power, and the amount of regenerative energy is calculated by adding up the calculated regenerative powers.

[0100] Specifically, the amount of regenerative power is calculated based on the train running performance data 13a, which is divided based on the position section, time section, and train voltage section determined by the section definition data 13b shown in Figure 8, and the data in which the train set number, condition code, direction, date, time section, and train voltage section are the same, as shown in the 6th to 8th rows of Figure 8.

[0101] First, we calculate the regenerative power for each row of data. As shown in row 6 of Figure 8, when the overhead line voltage is "1676" and the overhead line current is "-63.0", the regenerative power is calculated as "105.6" by multiplying the overhead line voltage by the overhead line current. Here, the unit of overhead line voltage is V, the unit of overhead line current is A, and the unit of regenerative power is kW.

[0102] Next, the amount of regenerative power is calculated by adding up the regenerative power calculated for each row of data. By adding up the regenerative power calculated in the same way for data where the train set number, condition code, direction, date, time section, and train voltage section are the same as in row 6 of Figure 8, the amount of regenerative power for the data with train set number "T0001", condition code "001", direction "Up", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750" is calculated.

[0103] Next, by summing up the calculated regenerative power amounts for data where the condition code, direction, date, time section, and train voltage section are the same but the train set number is different, the regenerative power amount for the data with condition code "001", direction "downbound", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750" is calculated.

[0104] The method for calculating regenerative energy is not limited to these methods. For example, the amount of regenerative energy may be calculated directly from the target data without distinguishing the data by train set number. Specifically, the amount of regenerative energy may be calculated using data from the train running performance data 13a, which is divided based on the location section, time section, and train voltage section included in the section definition data 13b, where the condition code, direction, date, time section, and train voltage section are the same.

[0105] <Method for calculating the minimum and maximum regenerative power values ​​included in the energy consumption data> As a method for calculating the minimum and maximum regenerative power values, for example, among the values ​​obtained by multiplying the overhead line voltage and overhead line current included in the target train running performance data 13a, the negative values ​​are calculated as regenerative power. Among the calculated regenerative power values, the smallest regenerative power value is calculated as the minimum regenerative power value, and the largest regenerative power value is calculated as the maximum regenerative power value.

[0106] Specifically, the minimum and maximum regenerative power values ​​are calculated based on the train running performance data 13a, which is divided based on the position section, time section, and train voltage section determined by the section definition data 13b shown in Figure 8, using data where the train set number, condition code, direction, date, time section, and train voltage section are the same, as shown in rows 6 to 8 of Figure 8.

[0107] First, we calculate the regenerative power for each row of data. As shown in row 6 of Figure 8, when the overhead line voltage is "1676" and the overhead line current is "-63.0", the regenerative power is calculated as "105.6" by multiplying the overhead line voltage by the overhead line current. Here, the unit of overhead line voltage is V, the unit of overhead line current is A, and the unit of regenerative power is kW.

[0108] Next, the minimum and maximum regenerative power values ​​are calculated by comparing the regenerative power values ​​calculated for each row of data. For data where the train set number, condition code, direction, date, time section, and train voltage section are the same as in row 6 of Figure 8, the smallest regenerative power value among the calculated regenerative power values ​​is taken as the minimum regenerative power value, and the largest regenerative power value is taken as the maximum regenerative power value. This calculates the minimum and maximum regenerative power values ​​for the data with train set number "T0001", condition code "001", direction "Up", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750".

[0109] Next, for data where the condition code, direction, date, time section, and train voltage section are the same but the train set number is different, the smallest regenerative power value among the calculated regenerative power values ​​is taken as the minimum regenerative power value, and the largest regenerative power value is taken as the maximum regenerative power value. In this way, the minimum and maximum regenerative power values ​​for the data with condition code "001", direction "downbound", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750" are calculated.

[0110] The method for calculating the minimum and maximum regenerative power is not limited to these methods. For example, the minimum and maximum regenerative power may be calculated directly from the target data without distinguishing the data by train set number. Specifically, the minimum and maximum regenerative power may be calculated using data from the train running performance data 13a, which is divided based on the location section, time section, and train voltage section included in the section definition data 13b, where the condition code, direction, date, time section, and train voltage section are the same.

[0111] <Method for Calculating Regenerative Reduction Power Included in Power Data> As a method for calculating regenerative reduction power, for example, among the values ​​obtained by multiplying the overhead line voltage and overhead line current included in the target train running performance data 13a, the negative value is calculated as regenerative power. Based on the regenerative power, regenerative braking force command, and actual regenerative braking force, the regenerative reduction power is calculated, and the amount of regenerative reduction power is calculated by adding the calculated regenerative reduction powers together. Here, the method for calculating regenerative reduction power based on regenerative power, regenerative braking force command, and actual regenerative braking force will be explained.

[0112] First, we will explain how to calculate the regenerative braking force based on the regenerative power, regenerative braking force command, and actual regenerative braking force. If the regenerative power is Pr and the regenerative braking force is Pl, the ideal regenerative power Pi is calculated according to the following equation (14).

[0113]

[0114] Furthermore, if the regenerative braking force command is Fc and the actual regenerative braking force is Fa, the ideal regenerative power Pi is calculated according to the following equation (15).

[0115]

[0116] Since the ideal regenerative power is calculated according to equations (14) and (15), the regenerative limiting power Pl is calculated according to the following equation (16).

[0117]

[0118] Specifically, as a method for calculating the amount of energy to be reduced for regenerative braking, the amount of energy to be reduced for regenerative braking is calculated based on the train running performance data 13a, which is divided based on the position section, time section, and train voltage section determined by the section definition data 13b shown in Figure 8, and based on the data where the train set number, condition code, direction, date, time section, and train voltage section are the same, as shown in rows 6 to 8 of Figure 8.

[0119] First, the regenerative braking power is calculated for each row of data. As shown in row 6 of Figure 8, when the overhead line voltage is "1676" and the overhead line current is "-63.0", the regenerative power is calculated as "105.6" by multiplying the overhead line voltage by the overhead line current. Here, the unit of overhead line voltage is V, the unit of overhead line current is A, and the unit of regenerative power is kW. As shown in row 6 of Figure 8, the regenerative braking force command is "6000", the actual regenerative braking force is "5800", and the regenerative power was calculated as "105.6", so according to equation (16), the regenerative braking power is calculated as "3.6".

[0120] Next, the amount of regenerative braking power is calculated by adding up the regenerative braking power calculated for each row of data. By adding up the regenerative braking power calculated in the same way for data where the train set number, condition code, direction, date, time section, and train voltage section are the same as in row 6 of Figure 8, the amount of regenerative braking power is calculated for the data with train set number "T0001", condition code "001", direction "Up", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750".

[0121] Next, by summing up the calculated regenerative braking power for data with the same condition code, direction, date, time section, and train voltage section, but different train set numbers, the regenerative braking power for the data with condition code "001", direction "downbound", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750" is calculated.

[0122] The method for calculating the amount of energy reduced for regenerative braking is not limited to these methods. For example, the amount of energy reduced for regenerative braking may be calculated directly from the target data without distinguishing the data by train set number. Specifically, the amount of energy reduced for regenerative braking may be calculated using data from the train running performance data 13a, which is divided based on the location section, time section, and train voltage section included in the section definition data 13b, where the condition code, direction, date, time section, and train voltage section are the same.

[0123] <Method for Calculating Ideal Regenerative Energy Included in Energy Data> As a method for calculating ideal regenerative energy, for example, among the values ​​obtained by multiplying the overhead line voltage and overhead line current included in the target train running performance data 13a, the negative value is calculated as regenerative power. Based on the regenerative power, regenerative braking force command, and actual regenerative braking force, the ideal regenerative power is calculated, and the ideal regenerative energy is calculated by adding up the calculated ideal regenerative powers. Here, the ideal regenerative power is calculated according to equation (15).

[0124] Specifically, as a method for calculating the ideal regenerative power amount, the ideal regenerative power amount is calculated based on the train running performance data 13a, which is divided based on the position section, time section, and train voltage section determined by the section definition data 13b shown in Figure 8, and where the train set number, condition code, direction, date, time section, and train voltage section are the same, as shown in rows 6 to 8 of Figure 8.

[0125] First, we calculate the ideal regenerative power for the data in each row. As shown in row 6 of Figure 8, when the overhead line voltage is "1676" and the overhead line current is "-63.0", the regenerative power is calculated to be "105.6" by multiplying the overhead line voltage by the overhead line current. Here, the unit of overhead line voltage is V, the unit of overhead line current is A, and the unit of regenerative power is kW. As shown in row 6 of Figure 8, the regenerative braking force command is "6000" and the actual regenerative braking force is "5800", and the regenerative power was calculated to be "105.6", so according to equation (15), the ideal regenerative power is calculated to be "109.2".

[0126] Next, the ideal regenerative power is calculated by adding up the ideal regenerative power calculated for each row of data. The ideal regenerative power is calculated for the data with train set number "T0001", condition code "001", direction "Up", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750" by adding up the ideal regenerative power calculated in the same way for data with train set number "T0001", condition code "001", direction "Up", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750".

[0127] Next, by summing up the ideal regenerative power amounts calculated for data where the condition code, direction, date, time section, and train voltage section are the same but the train set number is different, the ideal regenerative power amount for the data with condition code "001", direction "downbound", date "2023 / 04 / 01", time section "15:00:00-15:30:00", and train voltage section "1650-1750" is calculated.

[0128] The method for calculating the ideal regenerative power is not limited to these methods. For example, the ideal regenerative power may be calculated directly from the target data without distinguishing the data by train set number. Specifically, the ideal regenerative power may be calculated using data from the train running performance data 13a, which is divided based on the location section, time section, and train voltage section included in the section definition data 13b, where the condition code, direction, date, time section, and train voltage section are the same.

[0129] <Effects and division method of using the ideal regenerative power section> The energy data calculation unit 121 divides the train running performance data 13a, which has been divided based on the location section, time section, and train voltage section, into data where the condition code, direction, date, time, and train voltage section all match, based on the ideal regenerative power section. The energy data calculation unit 121 calculates statistical quantities related to the items provided for the ideal regenerative power section for the data divided based on the ideal regenerative power section into data where the condition code, direction, date, time section, and train voltage section all match, and calculates the energy data.

[0130] The ideal regenerative power section included in the section definition data 13b is the section related to the ideal regenerative power calculated from the voltage, current, brake force command, and actual brake force measured in train 2, and is used to calculate the energy data. The regenerative power absorption device is controlled based on the rated power determined by the specifications. For example, if the regenerative power absorption device is an energy storage device and the voltage is equal to or greater than the charging start voltage (absorption start voltage), even if power greater than the rated power is generated in the overhead line to which the regenerative power absorption device is connected, the regenerative power absorption device will only charge power equal to or less than the rated power. Therefore, the ideal regenerative power calculated from the voltage, current, brake force command, and actual brake force measured in train 2 can be said to affect the operating status of the newly installed regenerative power absorption device. By dividing the train running performance data 13a based on the ideal regenerative power section determined by the section definition data 13b, energy data divided into sections related to power can be calculated. When considering appropriate device introduction conditions for newly installed regenerative power absorption devices, using section-corresponding data 13c, which includes sections related to power, makes it possible to make decisions that take into account the specifications of the regenerative power absorption device, such as rated power, and is expected to lead to more accurate decisions.

[0131] As a method for dividing train running performance data 13a based on ideal regenerative power sections, for example, among the train running performance data 13a divided based on location section, time section, and train voltage section, ideal regenerative power is calculated for data where the location section, time, and train voltage section are the same, and the calculated ideal regenerative power is linked to items provided for the ideal regenerative power section, thereby dividing the train running performance data 13a based on the ideal regenerative power section.

[0132] Using Figures 9a and 9b, we will specifically explain how to divide train running performance data 13a based on the ideal regenerative power section. Figure 9a shows train running performance data 13a obtained from four trains 2 with different train set numbers, divided into location section, time section, and train voltage section, and data where the time is "10:00:01" extracted from the data linked by condition code, time section, and train voltage section. Figure 9b shows the data shown in Figure 9a divided based on the ideal regenerative power section. Here, the ideal regenerative power section is assumed to be "0 ≤ P(t) < 50, 50 ≤ P(t) < 100, 100 ≤ P(t) < 150, ...".

[0133] The data is divided into location, time, and train voltage sections as shown in Figure 9a. For each train set number, the ideal regenerative power is calculated based on the overhead line voltage, overhead line current, regenerative braking force command, and actual regenerative braking force. As shown in Figure 9a, the ideal regenerative power is calculated as "0" for train set number "T0001", "199.7" for train set number "T0002", "90.5" for train set number "T0003", and "52.3" for train set number "T0004".

[0134] Next, the ideal regenerative power corresponding to each train voltage section is calculated. Here, if there is data with different train set numbers but the same train voltage section, the ideal regenerative power corresponding to the relevant train voltage section is calculated by adding the ideal regenerative power calculated for the data with the same train voltage section. As shown in Figure 9a, the data for train set numbers "T0003" and "T0004" has a voltage section of "1550-1600", so adding the ideal regenerative powers of "90.5" and "52.3" calculated for each train set number results in "142.3". Also, for train set number "T0001", the train voltage section is "1450-1500" and the ideal regenerative power is "0", and for train set number "T0002", the train voltage section is "1600-1650" and the ideal regenerative power is "199.7". Therefore, the ideal regenerative power corresponding to the train voltage section "1450-1500" is calculated to be "0", the ideal regenerative power corresponding to the train voltage section "1550-1600" is calculated to be "142.3", and the ideal regenerative power corresponding to the train voltage section "1600-1650" is calculated to be "199.7".

[0135] Next, the ideal regenerative power calculated for each train voltage section is classified into categories established for the ideal regenerative power section. Here, as shown in Figure 9b, the categories established for the ideal regenerative power section include "Ideal Regenerative Power (0-50kW)", "Ideal Regenerative Power (50-100kW)", "Ideal Regenerative Power (100-150kW)", and "Ideal Regenerative Power (150-200kW)". If the ideal regenerative power calculated for a train voltage section falls within the ideal regenerative power section "0 ≤ P(t) < 50", the calculated value of the ideal regenerative power is classified into "Ideal Regenerative Power (0-50kW)". Similarly, for the categories "Ideal Regenerative Power (50-100kW)", "Ideal Regenerative Power (100-150kW)", and "Ideal Regenerative Power (150-200kW)", the ideal regenerative power is classified based on the ideal regenerative power section.

[0136] Using the data shown in Figure 9a, the ideal regenerative power corresponding to the train voltage section "1450-1500" was calculated to be "0," so as shown in the first row of Figure 9b, "Ideal regenerative power (0-50kW)" is "0." Using the data shown in Figure 9a, the ideal regenerative power corresponding to the train voltage section "1550-1600" was calculated to be "142.3," so as shown in the third row of Figure 9b, "Ideal regenerative power (100-150kW)" is "142.8." Using the data shown in Figure 9a, the ideal regenerative power corresponding to the train voltage section "1600-1650" was calculated to be "199.7," so as shown in the fourth row of Figure 9b, "Ideal regenerative power (150-200kW)" is "199.7." Therefore, based on the ideal regenerative power section, train running performance data 13a with the same location section, time, and train voltage section are divided and represented as shown in Figure 9b.

[0137] The method of dividing the train running performance data 13a based on the ideal regenerative power section described above is just one example and is not limited to these methods.

[0138] The power consumption data calculation unit 121 calculates power consumption data for data among the train running performance data 13a divided based on the ideal regenerative power intervals, where the condition code, direction, date, time interval, and train voltage interval all match. As a statistical amount calculated based on the ideal regenerative power interval, for example, the ideal regenerative power amount is calculated for each ideal regenerative power interval by summing up the ideal regenerative power divided based on the ideal regenerative power intervals included in the target train running performance data 13a.

[0139] <Method for Calculating Ideal Regenerative Energy Based on Ideal Regenerative Power Sections> Using Figure 9c, we will specifically explain how to calculate the ideal regenerative energy for each ideal regenerative power section. Figure 9c shows the data obtained by dividing the train running performance data 13a, which has been divided based on location section, time section, and train voltage section, into data where the condition code, direction, date, time, and train voltage section all match, based on the ideal regenerative power section. Here, Figure 9c shows only a portion of the data divided based on the ideal regenerative power section where the condition code is "001", the direction is "down", the date is "2023 / 04 / 01", and the train voltage section is "1600-1650".

[0140] From the train running performance data 13a, which is divided based on location section, time section, train voltage section, and ideal regenerative power section, the ideal regenerative power amount for each ideal regenerative power section is calculated based on data with the same condition code, direction, date, time section, and train voltage section, as shown in the first to fourth rows of Figure 9c. By summing the values ​​of "ideal regenerative power (0-50kW)" included in the data where the condition code, direction, date, time section, and train voltage section are the same as in the first row of Figure 9c, the value of "ideal regenerative power amount (voltage section: 0-50kW)" for the data with condition code "001", direction "down", date "2023 / 04 / 01", time section "10:00:00-11:00:00", and train voltage section "1600-1650" is calculated, as shown in the fourth row of Figure 7. The values ​​for "Ideal Regenerative Energy (Voltage Interval: 50-100kW)", "Ideal Regenerative Energy (Voltage Interval: 100-150kW)", and "Ideal Regenerative Energy (Voltage Interval: 150-200kW)" shown in Figure 7 are similarly calculated based on the respective values ​​for "Ideal Regenerative Power (50-100kW)", "Ideal Regenerative Power (100-150kW)", and "Ideal Regenerative Power (150-200kW)".

[0141] Furthermore, the method for calculating the ideal regenerative power amount for each ideal regenerative power interval is not limited to these methods.

[0142] <Operation of the Memory Unit> The memory unit 13 stores train running performance data 13a, section definition data 13b, and section-corresponding data 13c, which includes section, weather statistics, and power consumption data. If the train running performance data acquisition unit 12a does not store the train running performance data 13a in the memory unit 13, the memory unit 13 will not store the train running performance data 13a.

[0143] <Operation of the display unit> The display unit 14 displays section and energy consumption data according to the correspondence relationship indicated by the section correspondence data 13c created by the energy consumption data calculation unit 121. If the section correspondence data 13c is linked to a correspondence relationship between sections and meteorological statistics, the display unit 14 may display the section, meteorological statistics, and energy consumption data according to the correspondence relationship indicated by the section correspondence data 13c. The display unit 14 displays section and energy consumption data for the condition code corresponding to the device introduction conditions, and a person can view the displayed section and energy consumption data to confirm the effect of installing the regenerative power absorption device for each of the device introduction conditions of the regenerative power absorption device and determine the appropriate device introduction conditions for the regenerative power absorption device.

[0144] <Method for Determining the Appropriate Installation Location> As a method for determining the appropriate installation location of the regenerative power absorption device by looking at the section and power amount data displayed by the display unit 14, for example, the appropriate installation location is determined by referring to the data of different condition codes for the position section determined by the section definition data 13b. Specifically, as shown in the first to sixth rows of Figure 7, the appropriate installation location of the regenerative power absorption device can be determined by checking the ideal regenerative power amount in the power amount data for condition code "001" where the train voltage section is equal to or greater than the absorption start voltage, and comparing it with the ideal regenerative power amount similarly confirmed for different condition codes.

[0145] As a method for determining an appropriate installation location by comparing power quantity data with different positional sections determined by section definition data 13b, the cumulative daily value of the ideal regenerative power is calculated for data where the train voltage section is equal to or greater than the absorption start voltage among the data of the target condition code, and the position where the cumulative daily value of the ideal regenerative power is largest can be determined as the appropriate installation location for the regenerative power absorption device. Specifically, when the absorption start voltage is 1600V, assume that for power quantity data where the train voltage section is 1600V or higher, the cumulative daily value of the ideal regenerative power for condition code "001" is 1000kWh, and the cumulative daily value of the ideal regenerative power for condition code "002" is 500kWh. In this case, since the data for condition code "001" has a larger ideal regenerative power than the data for condition code "002", the amount of power absorbed by the regenerative power absorption device is larger, and the effect of installing the regenerative power absorption device is considered to be greater for condition code "001".

[0146] Furthermore, as a method for determining an appropriate installation location by comparing power quantity data with different position sections determined by section definition data 13b, for data with a train voltage section below the supply start voltage among the data of the target condition code, the cumulative daily value of the difference between the power output and the regenerative power output can be calculated, and the position where this cumulative value is largest can be determined as an appropriate installation location for the regenerative power absorption device. Specifically, when the supply start voltage is 1200V, for power quantity data with a train voltage section below 1200V, the cumulative daily value of the difference between the power output and the regenerative power output for condition code "001" is 300kWh, and the cumulative daily value of the difference between the power output and the regenerative power output for condition code "002" is 600kWh. In this case, the data for condition code "002" is larger than the data for condition code "001" because the integrated value of the difference between the power output and the regenerative power output is larger. Therefore, it is considered that the regenerative power absorption device supplies more power, and the effect of installing the regenerative power absorption device is greater for condition code "002".

[0147] When calculating the daily cumulative value of the ideal regenerative energy, or the daily cumulative value of the power energy minus the regenerative energy, it is possible to calculate it from the daily energy data, or to calculate the cumulative value for each day from the energy data for multiple days and then calculate the average of the calculated daily cumulative values ​​as the daily cumulative value.

[0148] The method of determining an appropriate installation location for a regenerative power absorber by comparing energy data from different installation locations is merely one example and is not limited to these. For example, the appropriate installation location for a regenerative power absorber may be determined by considering both the absorption start voltage and the supply start voltage. Furthermore, the items used when determining an appropriate installation location by comparing energy data from different installation locations are not limited to the ideal regenerative energy and the value obtained by subtracting the regenerative energy from the power output energy. For example, instead of the ideal regenerative power, the regenerative energy, the regenerative energy reduction energy, or the value obtained by subtracting the power output energy from the regenerative energy may be used. Also, for example, instead of the value obtained by subtracting the regenerative energy from the power output energy, the power output energy may be used.

[0149] The method of determining the appropriate installation location of the regenerative power absorption device by having a person view the section and power consumption data displayed by the display unit 14 described above is just one example, and is not limited to this.

[0150] <Method for determining appropriate operating parameters> As a method for determining appropriate operating parameters for the regenerative power absorption device by looking at the section and power amount data displayed by the display unit 14, for example, appropriate operating parameters are determined by referring to the data of condition codes in which only the train voltage section determined by the section definition data 13b differs.

[0151] As a method for determining an appropriate value for the absorption start voltage included in the operating parameters by comparing energy data with different train voltage intervals determined by interval definition data 13b, for example, the ideal regenerative energy is accumulated for each data point with an absorption start voltage or higher among the data of the target condition code, and the absorption start voltage at which this accumulated value is largest is determined to be the appropriate value.

[0152] As a method for determining an appropriate value for the supply start voltage included in the operating parameters by comparing power quantity data for different train voltage sections determined by the section definition data 13b, for example, the values ​​obtained by subtracting regenerative power from power quantity are accumulated for the data of the target condition code that is below the supply start voltage, and the supply start voltage when this accumulated value is the largest is determined to be an appropriate value.

[0153] The method of determining appropriate operating parameters by comparing energy data with different operating parameters of the regenerative power absorption device described above is just one example and is not limited to these. The items used when determining appropriate operating parameters by comparing energy data with different operating parameters of the regenerative power absorption device are not limited to the ideal regenerative energy and the value obtained by subtracting the regenerative energy from the power output energy. For example, instead of the ideal regenerative power, the regenerative energy, the regenerative energy reduction energy, or the value obtained by subtracting the power output energy from the regenerative energy may be used. Also, for example, instead of the value obtained by subtracting the regenerative energy from the power output energy, the power output energy may be used.

[0154] The method of determining appropriate operating parameters for the regenerative power absorption device by looking at the section and power consumption data displayed by the display unit 14 described above is just one example and is not limited to this.

[0155] <Method for determining appropriate specifications> As a method for determining the appropriate specifications of the regenerative power absorption device by looking at the section and power amount data displayed by the display unit 14, for example, the appropriate specifications can be determined by referring to the data of condition codes with different model codes included in the section definition data 13b.

[0156] As a method for determining the appropriate specifications for a regenerative power absorption device by comparing power consumption data with different model codes included in the section definition data 13b, for example, for data where the train voltage section is equal to or greater than the absorption start voltage among the data of the target condition code, the estimated power absorption amount, which is the cumulative daily value of the power that the regenerative power absorption device is expected to absorb, is calculated based on statistical quantities related to the rated power and the items established for the ideal regenerative power section. The calculated estimated power absorption amount is then compared with the equipment cost indicated by the model code, and the model code that yields the highest cost-effectiveness can be determined as the appropriate specification for the regenerative power absorption device.

[0157] Specifically, for the condition codes "801" and "802" shown in the condition interval definitions in Figure 5b, we will determine the appropriate model code. The model code for condition code "801" is "S001," and in this case, as shown in Figure 6, the rated power is "50" and the equipment cost is "10000." The model code for condition code "802" is "S002," and in this case, as shown in Figure 6, the rated power is "200" and the equipment cost is "40000." Here, the energy data will include statistical quantities related to items established for the ideal regenerative power interval, such as "ideal regenerative energy (power interval: 0-50kW)," "ideal regenerative energy (power interval: 50-100kW)," "ideal regenerative energy (power interval: 100-150kW)," and "ideal regenerative energy (power interval: 150-200kW)."

[0158] For condition codes "801" and "802," the estimated amount of absorbed power is calculated by appropriately weighting and summing the statistical quantities related to the items established for the ideal regenerative power section based on the rated power, using power data where the train voltage section is above the absorption start voltage.

[0159] Assume that the expected amount of energy absorbed is "560" when calculating from the energy data for which the condition code is "801" and the train voltage section is above the absorption start voltage, specifically from the items "Ideal regenerative energy (power section: 0-50kW)", "Ideal regenerative energy (power section: 50-100kW)", "Ideal regenerative energy (power section: 100-150kW)", and "Ideal regenerative energy (power section: 150-200kW)". Here, since the rated power for the condition code "801" is "50", the weight of the items "Ideal regenerative energy (power section: 50-100kW)", "Ideal regenerative energy (power section: 100-150kW)", and "Ideal regenerative energy (power section: 150-200kW)", which represent information about power greater than the rated power, is reduced.

[0160] Let's assume that the expected amount of energy absorbed is "1820" when calculating the energy data for which the condition code is "802" and the train voltage section is above the absorption start voltage, using the items "Ideal regenerative energy (power section: 0-50kW)", "Ideal regenerative energy (power section: 50-100kW)", "Ideal regenerative energy (power section: 100-150kW)", and "Ideal regenerative energy (power section: 150-200kW)". Here, since the rated power for the condition code "802" is "200", we can simply add up the items "Ideal regenerative energy (power section: 0-50kW)", "Ideal regenerative energy (power section: 50-100kW)", "Ideal regenerative energy (power section: 100-150kW)", and "Ideal regenerative energy (power section: 150-200kW)" without weighting.

[0161] Furthermore, if the energy data includes statistical quantities such as "Ideal regenerative energy (power section: 200-250 kW)" as a statistic for items established for ideal regenerative power sections greater than the rated power "200" of condition code "802", the weight of the "Ideal regenerative energy (power section: 200-250 kW)" item may be reduced and the data added together.

[0162] Next, for condition codes "801" and "802," the cost-effectiveness is calculated by comparing the calculated estimated power absorption with the equipment cost indicated by the model code, and the appropriate model code is determined. For condition code "801," dividing the calculated estimated power absorption of "560" by the equipment cost of "10000" results in a cost-effectiveness of "0.056." Similarly, for condition code "802," dividing the calculated estimated power absorption of "1820" by the equipment cost of "40000" results in a cost-effectiveness of "0.0455." Therefore, condition code "801" has a higher cost-effectiveness than condition code "802," and it can be determined that model code "S001" is appropriate.

[0163] The method of determining the appropriate model code by comparing the calculated estimated power absorption amount with the equipment cost indicated by the model code is just one example and is not limited to these. For example, prioritizing the ability to fully utilize regenerated power over cost-effectiveness, one might determine that the appropriate model code is the one that shows sufficient rated power to fully utilize the ideal amount of regenerated power. Alternatively, if there are multiple model codes that show sufficient rated power to fully utilize the ideal amount of regenerated power, one of those model codes with the lowest equipment cost might be considered the appropriate model code.

[0164] The method of determining the appropriate specifications of a regenerative power absorber by comparing power quantity data with different model codes included in the interval definition data 13b described above is just one example and is not limited to this. For example, the appropriate specifications of a regenerative power absorber may be determined without using the ideal regenerative power interval determined by the interval definition data 13b.

[0165] As a method for determining the appropriate specifications of a regenerative power absorber by comparing power quantity data with different model codes included in the section definition data 13b, without using the ideal regenerative power interval, for example, by considering the rated power and equipment costs associated with the model code, it is possible to determine the model code of a regenerative power absorber that is cost-effective among the data of the target condition code.

[0166] Specifically, for the condition codes "801" and "802" shown in the condition interval definitions in Figure 5b, we will determine the appropriate model code. The model code for condition code "801" is "S001," and in this case, as shown in Figure 6, the rated power is "50" and the equipment cost is "10000." The model code for condition code "802" is "S002," and in this case, as shown in Figure 6, the rated power is "200" and the equipment cost is "40000."

[0167] For model codes "S001" and "S002," the maximum amount of energy that the regenerative power absorber can absorb per day is calculated based on the rated power. Here, train 2 runs for 20 hours, from 5:00 to 25:00, and the maximum amount of energy that the regenerative power absorber can absorb per day is calculated as the maximum amount of energy that the regenerative power absorber can absorb in 20 hours. For model code "S001," the rated power is "50," and the maximum amount of energy that the regenerative power absorber can absorb per hour is 50 kWh, so the maximum amount of energy that the regenerative power absorber can absorb per day is 1000 kWh. For model code "S002," the rated power is "200," and the maximum amount of energy that the regenerative power absorber can absorb per hour is 200 kWh, so the maximum amount of energy that the regenerative power absorber can absorb per day is 4000 kWh.

[0168] Next, for condition codes "801" and "802," the cumulative daily value of the ideal regenerative energy above the absorption start voltage, calculated based on the energy data, is assumed to be "1820." For model code "S001," the maximum amount of energy that the regenerative power absorber can absorb per day is 1000 kWh, and it is not possible to absorb more than 1000 kWh of power per day. Therefore, the expected amount of energy absorbed, which is the amount of energy that the regenerative power absorber is expected to absorb, is "1000." For model code "S002," the maximum amount of energy that the regenerative power absorber can absorb per day is 4000 kWh. Therefore, the regenerative power absorber can absorb all of the cumulative daily value of the ideal regenerative energy above the absorption start voltage, which is "1820," and thus the expected amount of energy absorbed is "1820."

[0169] Next, the cost-effectiveness is calculated by comparing the calculated estimated power absorption with the equipment cost included in the model code, and the appropriate model code is determined. For model code "S001", dividing the estimated power absorption of "1000" by the equipment cost of "10000" yields a cost-effectiveness of "0.1". Similarly, for model code "S002", dividing the estimated power absorption of "1820" by the equipment cost of "40000" yields a cost-effectiveness of "0.0455". Therefore, model code "S001" has a higher cost-effectiveness than model code "S002", and it can be determined that model code "S001" is appropriate.

[0170] The method of determining the appropriate model code by comparing the calculated estimated power absorption amount with the equipment cost indicated by the model code is just one example, and is not limited to these methods.

[0171] The method of determining the appropriate specifications of the regenerative power absorption device by looking at the section and power data displayed by the display unit 14 described above is just one example and is not limited to these. For example, instead of the integrated value of the ideal regenerative power, the power data items to be compared with the rated power indicated by the model code may be the regenerative power reduction amount, the maximum value of the regenerative power reduction amount, or the integrated value of the difference between the regenerative power amount and the power being driven.

[0172] By viewing the section and power consumption data displayed on the display unit 14, the appropriate installation conditions for the regenerative power absorption device can be determined by combining the methods described above for determining the appropriate specifications, installation location, and operating parameters of the regenerative power absorption device. For example, after determining the appropriate specifications of the regenerative power absorption device, the appropriate installation location and operating parameters of the regenerative power absorption device can be determined to determine the appropriate installation conditions for the regenerative power absorption device. However, the method for determining the appropriate installation conditions for the regenerative power absorption device by viewing the section and power consumption data displayed on the display unit 14 is not limited to these. For example, the expected power supply amount, which is the cumulative value of the amount of power that the regenerative power absorption device is expected to supply in one day, can be calculated, and the appropriate installation conditions for the regenerative power absorption device can be determined based on this expected power supply amount.

[0173] <Operation of the Energy Analyzer and Energy Analysis Method> Next, the details of the processing performed by the processing unit 12 of the energy analyzer 1 according to Embodiment 1 and the energy analysis method will be explained using Figures 10 and 11. Figure 10 is a flowchart showing the operation of the energy analyzer 1 according to Embodiment 1. Figure 11 is a flowchart showing the operation of the energy data calculation unit 121 included in the energy analyzer 1 according to Embodiment 1.

[0174] In step S01, the train running performance data acquisition unit 12a of the data acquisition unit 120 acquires train running performance data 13a from the storage unit 13. Here, the train running performance data acquisition unit 12a may also acquire train running performance data 13a from the communication unit 11. In step S02, the section definition data acquisition unit 12b of the data acquisition unit 120 acquires section definition data 13b from the storage unit 13. Note that the order of steps S01 and S02 is not limited to the order shown in Figure 10, and can be performed in any order. Also, steps S01 and S02 may be performed in parallel.

[0175] In step S03, the power consumption data calculation unit 121 calculates meteorological statistics and power consumption data based on the train running performance data 13a and section definition data 13b, and creates section correspondence data 13c that shows the correspondence between sections and power consumption data and the correspondence between sections and meteorological statistics. Here, if meteorological statistics are not used when considering the device introduction conditions for the regenerative power absorption device, the power consumption data calculation unit 121 does not need to calculate meteorological statistics.

[0176] Figure 11 is a flowchart showing a detailed example of the procedure for calculating meteorological statistics and power consumption data by the power consumption data calculation unit 121 and creating section-corresponding data 13c in step S03 shown in Figure 10.

[0177] In step S101, the power consumption data calculation unit 121 divides the train running performance data 13a based on the position section defined in the section definition data 13b and the direction of travel and travel position included in the train running performance data 13a. At this time, the condition codes and directions of the position sections corresponding to the direction of travel and travel position included in the train running performance data 13a are linked to the divided train running performance data 13a.

[0178] In step S102, the power consumption data calculation unit 121 further divides the train running performance data 13a, which was divided in step S101, based on the time intervals determined by the time interval definitions included in the interval definition data 13b and the times included in the train running performance data 13a, and associates the time intervals corresponding to the times included in the train running performance data 13a.

[0179] In step S103, the power consumption data calculation unit 121 further divides the train running performance data 13a, which was divided in step S102, based on the train voltage section determined by the train voltage section definition included in the section definition data 13b and the overhead line voltage included in the train running performance data 13a, and associates the train voltage section corresponding to the overhead line voltage included in the train running performance data 13a. The method of dividing the train running performance data 13a based on the train voltage section determined by the section definition data 13b is not limited to these.

[0180] Note that the order of steps S101, S102, and S103 is not limited to the order shown in Figure 11, and can be in any order.

[0181] The train running performance data 13a, divided in steps S101 to S103, is represented as shown in Figure 8.

[0182] Next, in steps S201 to S207, the power consumption data calculation unit 121 calculates meteorological statistics and statistics for each item included in the power consumption data based on the train running performance data 13a divided in steps S101 to S103. The power consumption data calculation unit 121 then performs the following processing in steps S201 to S207 for each data set from the train running performance data 13a divided in steps S101 to S103 where the condition code, direction, date, time section, and train voltage section all match, for example, as shown in the first to third rows of Figure 8.

[0183] In step S201, the average value of the outside temperature included in the target train running performance data 13a is calculated, and the temperature section containing the calculated average value is extracted as a meteorological statistic from among the temperature sections determined by the section definition data 13b. As a method for calculating the average value of the outside temperature based on the target train running performance data 13a, for example, the average value of the outside temperature is calculated for each data with a different train set number for the target train running performance data 13a, and then the average value of the outside temperature for the target train running performance data 13a is calculated based on the average value of the outside temperature for each data with a different train set number. However, the method for calculating the average value of the outside temperature based on the target train running performance data 13a is not limited to these. For example, the average value of the outside temperature may be calculated directly from the target train running performance data 13a without distinguishing between data with different train set numbers.

[0184] In step S202, the rainfall situation is calculated based on the wiper operation status included in the target train running performance data 13a, and the weather (rain) section that includes the calculated rainfall situation is extracted as a meteorological statistic from the weather (rain) section determined by the section definition data 13b. As a method for calculating the rainfall situation based on the wiper operation status, for example, the percentage of "TRUE" data included in all the target wiper operation status data is calculated. Specifically, if 40 out of 100 target data are "TRUE", the rainfall situation is set to 40%. However, the method for calculating the rainfall situation based on the wiper operation status is not limited to this. As a method for calculating the rainfall situation based on the target train running performance data 13a, the rainfall situation is calculated for each data with a different train set number for the target train running performance data 13a, and then the rainfall situation corresponding to the target train running performance data 13a is calculated based on the rainfall situation for each data with a different train set number. However, the method for calculating the rainfall situation based on the target train running performance data 13a is not limited to these. For example, rainfall conditions may be calculated directly from the target train running data 13a without distinguishing between data with different train set numbers.

[0185] In step S203, statistical quantities related to regenerative power are calculated based on the overhead line voltage and overhead line current included in the target train running performance data 13a. Examples of statistical quantities related to regenerative power include the regenerative power amount (integrated value of regenerative power), the minimum regenerative power value (minimum value of regenerative power), and the maximum regenerative power value (maximum value of regenerative power). However, the statistical quantities related to regenerative power are not limited to these. As a method for calculating statistical quantities related to regenerative power based on the target train running performance data 13a, statistical quantities related to regenerative power are calculated for each data set with a different train set number for the target train running performance data 13a. Then, based on the statistical quantities related to regenerative power for each data set with a different train set number, the statistical quantities related to regenerative power corresponding to the target train running performance data 13a are calculated. However, the method for calculating statistical quantities related to regenerative power based on the target train running performance data 13a is not limited to these. For example, statistical quantities related to regenerative power may be calculated directly from the target train running performance data 13a without distinguishing between data sets with different train set numbers.

[0186] In step S204, statistical quantities relating to regenerative braking power are calculated based on the overhead line voltage, overhead line current, regenerative braking force command, and actual regenerative braking force included in the target train running performance data 13a. As statistical quantities relating to regenerative braking power, for example, the regenerative braking power amount, which is the integrated value of regenerative braking power, is calculated. However, the statistical quantities relating to regenerative braking power are not limited to this. As a method for calculating statistical quantities relating to regenerative braking power based on the target train running performance data 13a, statistical quantities relating to regenerative braking power are calculated for each data with a different train set number for the target train running performance data 13a, and then statistical quantities relating to regenerative braking power corresponding to the target train running performance data 13a are calculated based on the statistical quantities relating to regenerative braking power for each data with a different train set number. However, the method for calculating statistical quantities relating to regenerative braking power based on the target train running performance data 13a is not limited to these. For example, statistical quantities relating to regenerative braking power may be calculated directly from the target train running performance data 13a without distinguishing between data with different train set numbers.

[0187] In step S205, statistical quantities relating to power are calculated based on the overhead line voltage and overhead line current included in the target train running performance data 13a. As statistical quantities relating to power, for example, power energy, which is the integrated value of power, is calculated. However, the statistical quantities relating to power are not limited to this. As a method for calculating statistical quantities relating to power based on the target train running performance data 13a, statistical quantities relating to power are calculated for each data with a different train set number for the target train running performance data 13a, and then statistical quantities relating to power corresponding to the target train running performance data 13a are calculated based on the statistical quantities relating to power for each data with a different train set number. However, the method for calculating statistical quantities relating to power based on the target train running performance data 13a is not limited to these. For example, statistical quantities relating to power may be calculated directly from the target train running performance data 13a without distinguishing between data with different train set numbers.

[0188] In step S206, statistics on ideal regenerative power are calculated based on the overhead line voltage, overhead line current, regenerative braking force command, and actual regenerative braking force included in the target train running performance data 13a. As statistics on ideal regenerative power, for example, the ideal regenerative power amount, which is the integrated value of ideal regenerative power, is calculated. However, the statistics on ideal regenerative power are not limited to this. As a method for calculating statistics on ideal regenerative power based on the target train running performance data 13a, statistics on ideal regenerative power are calculated for each data with a different train set number for the target train running performance data 13a, and then statistics on ideal regenerative power corresponding to the target train running performance data 13a are calculated based on the statistics on ideal regenerative power for each data with a different train set number. However, the method for calculating statistics on ideal regenerative power based on the target train running performance data 13a are not limited to these. For example, statistics on ideal regenerative power may be calculated directly from the target train running performance data 13a without distinguishing between data with different train set numbers.

[0189] In step S207, the target train running performance data 13a is further divided based on the ideal regenerative power calculated from the overhead line voltage, overhead line current, regenerative braking force command, and regenerative braking force actuals included in the target train running performance data 13a, and the ideal regenerative power section determined by the section definition data 13b. For the target train running performance data 13a divided based on the ideal regenerative power section, statistical quantities related to the items established for the ideal regenerative power section are calculated.

[0190] As a method for dividing the train running performance data 13a based on the ideal regenerative power section determined by the section definition data 13b, for example, the power consumption data calculation unit 121 adds a new item provided for the ideal regenerative power section, calculates the ideal regenerative power based on the overhead line voltage, overhead line current, regenerative braking force command, and regenerative braking force actual, and further divides the target train running performance data 13a by classifying it into items provided for the ideal regenerative power section that includes the calculated ideal regenerative power. Here, as specific items provided for the ideal regenerative power section, examples include "Ideal regenerative power (0-50kW)", "Ideal regenerative power (50-100kW)", "Ideal regenerative power (100-150kW)", and "Ideal regenerative power (150-200kW)" shown in Figure 9c. However, the method for dividing the train running performance data 13a based on the ideal regenerative power section determined by the section definition data 13b is not limited to these.

[0191] Next, statistical quantities are calculated for the items provided for the ideal regenerative power sections in the target train running performance data 13a. As statistical quantities for the items provided for the ideal regenerative power sections, for example, the ideal regenerative power amount, which is the cumulative value of the ideal regenerative power, is calculated for each ideal regenerative power section. Note that the statistical quantities for the items provided for the ideal regenerative power sections are not limited to these. As a method for calculating statistical quantities related to ideal regenerative power based on the target train running performance data 13a, statistical quantities are calculated for each item provided for the ideal regenerative power sections in the target train running performance data 13a. Note that the method for calculating statistical quantities related to the items provided for the ideal regenerative power sections based on the target train running performance data 13a is not limited to these.

[0192] Note that the order of steps S201 to S207 is not limited to the order shown in Figure 11, and can be performed in any order. Also, steps S201 to S207 may be performed in parallel.

[0193] Returning to the explanation of Figure 10, in step S04, the display unit 14 displays the section, meteorological statistics, and power consumption data according to the correspondence relationship indicated by the section correspondence data 13c. If meteorological statistics have not been calculated, the display unit 14 will not display the meteorological statistics, but will display the section and power consumption data. By looking at the displayed section, meteorological statistics, and power consumption data, a person can determine the appropriate device installation conditions for the regenerative power absorption device.

[0194] <Effects> As described above, the power consumption analyzer 1 according to Embodiment 1 is a power consumption analyzer 1 used to determine at least one of the device introduction conditions, which are the specifications, installation location and operating parameters of a regenerative power absorption device that performs at least one of the following: absorption of regenerative power generated by the running of train 2 and supply of power to the overhead line that supplies power to train 2. The analyzer 1 comprises a data acquisition unit 120 that acquires train running performance data 13a showing the running performance of train 2 and section definition data 13b that defines the section set for the device introduction conditions, a power consumption data calculation unit 121 that calculates power consumption data, which is a statistical amount of power-related data for each section based on the train running performance data 13a, and creates section correspondence data 13c showing the correspondence between the section and the power consumption data, and a display unit 14 that displays the section and power consumption data according to this correspondence. In this way, the power consumption analyzer 1 calculates power consumption data for each section set for the device introduction conditions and displays these section and power consumption data. By viewing the displayed section and power consumption data, it is possible to identify power consumption data that particularly affects the amount of power absorbed or supplied by the regenerative power absorption device, according to the device installation conditions. As a result, it is possible to determine the appropriate specifications and installation location of the newly installed regenerative power absorption device, taking into account the operating parameters of the regenerative power absorption device.

[0195] Furthermore, in Embodiment 1, the power quantity analyzer 1 uses the section defined by the section definition data 13b to calculate and display power quantity data that particularly affects the amount of power absorbed or supplied by the regenerative power absorption device according to the device installation conditions, based on the train running performance data 13a. With this configuration, it is possible to predict the amount of power absorbed or supplied by the regenerative power absorption device according to the device installation conditions without performing complex simulations such as simulations to calculate the future operating status of train 2 and the corresponding power supply voltage and current. As a result, the time required to calculate the information used to determine the device installation conditions for the regenerative power absorption device is reduced, and the resources used by the computer to calculate this information are reduced.

[0196] Furthermore, in Embodiment 1, the data acquisition unit 120 of the energy analysis device 1 acquires section definition data 13b that defines sections relating to the direction of travel and running position of train 2, and sections relating to the overhead line voltage measured by train 2. The energy data calculation unit 121 calculates energy data for each of these sections based on the train running performance data 13a and creates section-corresponding data 13c. In this way, by calculating energy data for each position section, which is the section relating to the direction of travel and running position of train 2, energy data is calculated based on data showing that train 2 runs within the range where the regenerative power absorption device and train 2 mutually influence each other. Also, by calculating energy data for each train voltage section, which is the section relating to the overhead line voltage measured by train 2, energy data divided into sections relating to voltage is calculated. As a result, energy data for each position section relating to the installation location of the regenerative power absorption device and each train voltage section related to the driving parameters are displayed, and by looking at this energy data, it is possible to more accurately determine the appropriate device introduction conditions for a newly installed regenerative power absorption device.

[0197] Furthermore, in Embodiment 1, the data acquisition unit 120 of the power quantity analyzer 1 acquires section definition data 13b that defines the section related to the power measured by the train 2, and the power quantity data calculation unit 121 calculates power quantity data for each section based on the train running performance data 13a and creates section-corresponding data 13c. In this way, by calculating power quantity data for each section related to the power measured by the train 2, power quantity data is calculated that is divided into sections related to the power that is relevant to the rated power included in the specifications of the regenerative power absorption device. As a result, power quantity data divided into sections related to power is displayed, and by looking at this power quantity data, it becomes possible to consider the rated power included in the specifications of the regenerative power absorption device, and to more accurately determine the appropriate device introduction conditions for the newly installed regenerative power absorption device.

[0198] Furthermore, in Embodiment 1, the data acquisition unit 120 of the power consumption analyzer 1 acquires train running performance data 13a, which includes weather-related information regarding the weather conditions during the operation of the train 2. The power consumption data calculation unit 121 calculates weather statistics, which are statistical quantities of weather-related information, based on the train running performance data 13a. The correspondence between the section and the weather statistics is linked to the section correspondence data, and the display unit 14 displays the section and the weather statistics according to this correspondence. Weather statistics such as temperature and rainfall conditions are displayed, and by looking at these weather statistics, it becomes possible to consider the impact of temperature and rainfall conditions on the operation of the regenerative power absorption device, and to more accurately determine the appropriate device introduction conditions for the newly installed regenerative power absorption device.

[0199] <Embodiment 2> The power analysis device 1a according to Embodiment 2 will be described with reference to Figures 12 to 15. In Embodiment 2, the same reference numerals are used for the same components as in Embodiment 1, and the differences from Embodiment 1 will be mainly described.

[0200] <Configuration of the power consumption analysis system> Figure 12 shows an example configuration of the power consumption analysis system 100a according to Embodiment 2. In Embodiment 2, the power consumption analysis system 100a includes external equipment 4.

[0201] External equipment 4 represents one or more facilities or devices installed within or outside the railway line that consume power supplied by a newly installed regenerative power absorption device. An example of external equipment 4 is a station. External equipment 4 includes a communication unit 41 that communicates with devices outside of external equipment 4, and a measuring instrument (not shown) that acquires external equipment power consumption data 13d, which is information regarding the power consumption of external equipment 4. The communication unit 41 communicates with the communication unit 31 of the data acquisition device 3. The communication unit 41 also transmits the external equipment power consumption data 13d acquired by the measuring instrument to the data acquisition device 3.

[0202] Figure 13 will be used to explain the details of the external equipment power consumption data 13d. Figure 13 is a diagram showing an example of the external equipment power consumption data 13d. For example, as shown in Figure 13, the external equipment power consumption data 13d includes a condition code, the name of the external equipment, and the average power consumption. The average power consumption represents the average amount of electricity consumed by the external equipment 4 per day. Note that the external equipment power consumption data 13d shown in Figure 13 is just an example and is not limited to these. For example, the external equipment power consumption data 13d may also include the time interval or amount of electricity that represents the peak power consumption during the day.

[0203] The data acquisition device 3 collects train running performance data 13a and external equipment power consumption data 13d. The communication unit 31 communicates with the communication unit 21 of each train 2 and with the communication unit 41 of each external equipment 4. The communication unit 31 receives the train running performance data 13a output from the communication unit 21 of each train 2 and outputs the train running performance data 13a to the power consumption analyzer 1a. The communication unit 31 receives the external equipment power consumption data 13d output from the communication unit 41 of each external equipment 4 and outputs the external equipment power consumption data 13d to the power consumption analyzer 1a. The communication unit 31 and the communication unit 21 may be connected to each other so as to be able to communicate by wireless communication. The communication unit 31 and the communication unit 41 may be connected to each other so as to be able to communicate by wireless communication, or they may be connected to each other so as to be able to communicate via a network. The wireless communication method and the network are not particularly limited. Furthermore, if there is no need to acquire new external equipment power consumption data 13d, the communication unit 31 of the data acquisition device 3 and the communication unit 41 of the external equipment 4 do not need to communicate.

[0204] The data acquisition device 3 collects train running performance data 13a and external equipment power consumption data 13d according to an arbitrary acquisition cycle. Here, the acquisition cycle can be arbitrarily set between, for example, several tens of milliseconds and one second. The data acquisition device 3 transmits the collected train running performance data 13a and external equipment power consumption data 13d to the power consumption analyzer 1a according to an arbitrary transmission cycle. Here, the transmission cycle can be arbitrarily set between, for example, several minutes and one hour. Note that the acquisition cycle for the external equipment power consumption data 13d may differ from the acquisition cycle for the train running performance data 13a, and may be arbitrarily set between, for example, one day and several days. Similarly, the transmission cycle for the external equipment power consumption data 13d may differ from the transmission cycle for the train running performance data 13a, and may be arbitrarily set between, for example, one day and several days. Furthermore, the data acquisition device 3 may collect the external equipment power consumption data 13d according to a command issued by the power consumption analyzer 1a, or transmit the external equipment power consumption data 13d according to a command issued by the power consumption analyzer 1a.

[0205] The methods for collecting the train running performance data 13a and external equipment power consumption data 13d described above are merely examples and are not limited to them. For example, multiple data collection devices 3 may be used to collect the train running performance data 13a and external equipment power consumption data 13d. Specifically, a data collection device 3 for collecting train running performance data 13a and a data collection device 3 for collecting external equipment power consumption data 13d may be provided.

[0206] The data acquisition device 3 shown in Figure 12 may be implemented as a cloud-based function, or it may be one of the hardware components in the power consumption analysis system 100a.

[0207] <Configuration of the Power Consumption Analyzer> Next, the power consumption analyzer 1a according to Embodiment 2 will be described. Figure 14 is a diagram showing an example of the configuration of the power consumption analyzer 1a according to Embodiment 2. In Embodiment 2, the data acquisition unit 120 of the processing unit 12 includes an external equipment power consumption data acquisition unit 12d, and the storage unit 13 stores the external equipment power consumption data 13d.

[0208] <Operation of the Data Acquisition Unit> The external equipment power consumption data acquisition unit 12d of the data acquisition unit 120 outputs the external equipment power consumption data 13d acquired by the communication unit 11 from the data collection device 3 to the storage unit 13. The external equipment power consumption data acquisition unit 12d may be a communication device, an interface for a communication device, or the power consumption analyzer 1a itself.

[0209] <Operation of the display unit> The display unit 14 displays the section and energy consumption data, along with the external equipment energy consumption data 13d, according to the correspondence relationship shown by the section correspondence data 13c created in the energy consumption data calculation unit 121. By viewing the displayed section, energy consumption data, and external equipment energy consumption data 13d, a person can confirm the effect of installing the regenerative power absorption device for each of the device introduction conditions for the regenerative power absorption device and determine the appropriate device introduction conditions for the regenerative power absorption device. By referring to the external equipment energy consumption data 13d in addition to the section and energy consumption data, it is possible to determine the appropriate device introduction conditions for the regenerative power absorption device by considering not only the amount of energy absorbed or supplied by the newly installed regenerative power absorption device, but also whether the external equipment 4 can consume the energy absorbed by the regenerative power absorption device.

[0210] <Method for determining the appropriate installation location> As a method for determining the appropriate installation location of the regenerative power absorption device by looking at the section, power consumption data and external equipment power consumption data 13d displayed by the display unit 14, for example, the amount of power that the regenerative power absorption device is expected to absorb, which is predicted based on the power consumption data, is compared with the amount of power consumption indicated by the external equipment power consumption data 13d, thereby calculating the amount of power that the regenerative power absorption device can effectively utilize for each device introduction condition, and the appropriate installation location of the regenerative power absorption device is determined based on this amount of power.

[0211] Specifically, the system determines the appropriate condition code from among condition codes "001," "002," and "003," which have identical specifications and operating parameters for regenerative power absorption devices but differ in installation location. The ideal regenerative power calculated from the power consumption data for condition code "001" is 1000 kWh, the ideal regenerative power calculated from the power consumption data for condition code "002" is 500 kWh, and the ideal regenerative power calculated from the power consumption data for condition code "003" is 900 kWh. From the external equipment power consumption data 13d shown in Figure 13, it can be seen that the average power consumption at the station with condition code "001" is 800 kWh, the average power consumption at the station with condition code "002" is 1000 kWh, and the average power consumption at the station with condition code "003" is 1500 kWh.

[0212] Therefore, under condition code "001", the amount of energy expected to be absorbed by the regenerative power absorption device is 1000 kWh, of which 800 kWh can be effectively utilized as the station's power consumption. Under condition code "002", the amount of energy expected to be absorbed by the regenerative power absorption device is 500 kWh, and the station's power consumption is 1000 kWh, so 500 kWh of power can be effectively utilized as the station's power consumption. Under condition code "003", the amount of energy expected to be absorbed by the regenerative power absorption device is 900 kWh, and the station's power consumption is 1500 kWh, so 900 kWh of power can be effectively utilized as the station's power consumption.

[0213] Based on the above, the value of the amount of electricity that can be effectively utilized as the station's power consumption is largest when condition code "003" is selected. Therefore, referring to the power consumption data and external equipment power consumption data 13d for each of the condition codes "001," "002," and "003," which have the same specifications and operating parameters for the regenerative power absorption device but different installation locations, it is considered that the installation location corresponding to condition code "003" is suitable as the installation location for the regenerative power absorption device because the power absorbed by condition code "003" can be utilized most effectively.

[0214] <Method for determining appropriate specifications> As a method for determining the appropriate specifications of the regenerative power absorption device by looking at the section, power consumption data and external equipment power consumption data 13d displayed by the display unit 14, the appropriate model code can also be determined by comparing the power consumption data, the power consumption indicated by the external equipment power consumption data 13d, and the rated power and equipment cost of the regenerative power absorption device indicated by the model code.

[0215] Specifically, the appropriate condition code is determined from among condition codes "801" and "802," which have the same installation location and operating parameters for the regenerative power absorption device but different model codes. As shown in Figure 5, the model code for condition code "801" is "S001," and the model code for condition code "802" is "S002." As shown in Figure 6, the rated power of model code "S001" is "50" and the equipment cost is "10000," while the rated power of model code "S002" is "200" and the equipment cost is "40000." Furthermore, the cumulative daily value of the ideal regenerative power calculated from the power consumption data for condition codes "801" and "802" is 1120 kWh, and the average daily power consumption at stations near the installation location of the regenerative power absorption device is 1050 kWh. If we assume that the regenerated power generated cannot be fully consumed at the station and therefore cannot be effectively utilized, then the amount of regenerated power that can potentially be effectively utilized by the regenerative power absorption device is 1050 kWh.

[0216] In this case, the rated power of the regenerative power absorber with condition code "801" is "50", so the maximum amount of electricity that the regenerative power absorber can absorb per day is 1000 kWh. Here, train 2 runs for 20 hours from 5:00 to 25:00, and the maximum amount of electricity that the regenerative power absorber can absorb per day was calculated as the maximum amount of electricity that the regenerative power absorber can absorb in 20 hours. Since the maximum amount of electricity that the regenerative power absorber can absorb per day is 1000 kWh, it can be seen that there is a shortage of 50 kWh compared to the amount of regenerative power that could potentially be effectively utilized by the regenerative power absorber. On the other hand, the rated power of the regenerative power absorber with condition code "802" is "200", so the maximum amount of electricity that the regenerative power absorber can absorb per day is 4000 kWh, which is sufficient to utilize regenerative power, but the equipment cost is high.

[0217] Next, for condition codes "801" and "802," the cost-effectiveness is calculated by comparing the amount of electricity that can actually be utilized by the regenerative power absorption device with the equipment cost, and the appropriate model code is determined. For condition code "801," dividing the amount of electricity that can actually be utilized by the regenerative power absorption device ("1000") by the equipment cost ("10000") results in a cost-effectiveness of "0.1." Similarly, for condition code "802," dividing the amount of electricity that can actually be utilized by the regenerative power absorption device ("1050") by the equipment cost ("40000") results in a cost-effectiveness of "0.02625." Therefore, condition code "801" has a higher cost-effectiveness than condition code "802," and it can be determined that the specifications corresponding to model code "S001" are appropriate.

[0218] The above-mentioned methods for determining the appropriate model code are merely examples and are not limited to them. For example, prioritizing the ability to fully utilize regenerative power over cost-effectiveness, a model code that indicates sufficient rated power to utilize all regenerative power that can potentially be effectively utilized by the regenerative power absorption device may be deemed the appropriate model code. Alternatively, if there are multiple model codes that indicate sufficient rated capacity to handle regenerative power, the one with the lowest equipment cost among those multiple model codes may be considered the appropriate model code. Furthermore, when calculating the amount of regenerative power that can potentially be effectively utilized by the regenerative power absorption device, it may be calculated using, for example, the regenerative power reduction amount, the value obtained by subtracting the power consumption from the regenerative power amount, or the ideal regenerative power amount divided by the ideal regenerative power interval, which can be calculated using an ideal regenerative power amount that is less than or equal to the rated power.

[0219] However, the method for determining appropriate device introduction conditions for a regenerative power absorption device based on section, power consumption data, and external equipment power consumption data 13d is not limited to these.

[0220] <Operation of the Energy Analyzer and Energy Analysis Method> Next, the details of the processing performed by the processing unit 12 of the energy analyzer 1a according to Embodiment 2 and the energy analysis method will be explained with reference to Figure 15. Figure 15 is a flowchart showing the operation of the energy analyzer 1a according to Embodiment 2. The operation shown in Figure 15 is the same as the operation shown in Figure 10, but with step S11 added before step S01 and step S04 changed to step S12. Therefore, steps S11 and S12 will be explained in detail below.

[0221] In step S11, the external equipment power consumption data acquisition unit 12d of the data acquisition unit 120 acquires the external equipment power consumption data 13d from the storage unit 13.

[0222] Note that the order of step S11 and the sequence of operations in steps S01, S02, and S03 is not limited to the order shown in Figure 15, and can be in any order. Also, step S11 and the sequence of operations in steps S01, S02, and S03 may be performed in parallel.

[0223] In step S12, the display unit 14 displays the section, weather statistics, and power consumption data according to the correspondence shown by the section correspondence data 13c, and also displays the external equipment power consumption data 13d. If weather statistics have not been calculated, the display unit 14 does not display the weather statistics, but displays the section, power consumption data, and external equipment power consumption data 13d. By looking at the section, weather statistics, power consumption data, and external equipment power consumption data 13d displayed by the display unit 14, a person can determine the appropriate equipment installation conditions for the regenerative power absorption device.

[0224] <Effects> As described above, the data acquisition unit 120 of the power consumption analyzer 1a according to Embodiment 2 acquires external equipment power consumption data 13d, which is information regarding the power consumption of external equipment 4 that consumes the power supplied by the regenerative power absorption device, and the display unit 14 displays the external equipment power consumption data 13d. By looking at the external equipment power consumption data 13d together with the displayed section and power consumption data, it is possible to determine appropriate device introduction conditions for a newly installed regenerative power absorption device, taking into consideration whether the external equipment 4 can consume the power absorbed by the regenerative power absorption device.

[0225] <Embodiment 3> The power analysis device 1b according to Embodiment 3 will be described with reference to Figures 16 to 20. In Embodiment 3, the same reference numerals are used for components that are the same as those in Embodiment 1 or 2, and the differences from Embodiment 1 or 2 will be mainly described.

[0226] <Configuration of the power consumption analyzer> Figure 16 shows an example of the configuration of the power consumption analyzer 1b according to Embodiment 3. In Embodiment 3, the processing unit 12 includes a priority calculation unit 125, and the storage unit 13 stores priority data 13e.

[0227] <Operation of the Data Acquisition Unit> The external equipment power consumption data acquisition unit 12d of the data acquisition unit 120 acquires external equipment power consumption data 13d from the storage unit 13 and outputs it to the priority calculation unit 125. The external equipment power consumption data acquisition unit 12d may be a communication device, an interface for a communication device, or the power consumption analyzer 1b itself.

[0228] <Operation of the Priority Calculation Unit> The priority calculation unit 125 calculates priority data 13e indicating the priority of at least one of the device introduction conditions for a newly installed regenerative power absorption device, based on the section and power consumption data calculated by the power consumption data calculation unit 121 and the external equipment power consumption data 13d. Here, the priority calculation unit 125 may calculate the priority data 13e based on the section and power consumption data calculated by the power consumption data calculation unit 121 without using the external equipment power consumption data 13d. Alternatively, the priority calculation unit 125 may further use the meteorological statistics calculated by the power consumption data calculation unit 121 to calculate the priority data 13e.

[0229] <Structure of Priority Data> Details of the priority data 13e will be explained using Figures 17b, 18b, and 19b. Figures 17b, 18b, and 19b show examples of priority data 13e. For example, as shown in Figures 17b and 18b, the priority data 13e includes priority, condition code, expected energy absorption, ideal regenerative energy (specified voltage section), and average power consumption. The priority indicates an appropriate ranking for the condition code to be compared, based on at least one of the device introduction conditions for the regenerative power absorption device. The expected energy absorption is a value calculated based on the ideal regenerative energy (specified voltage section) and the average power consumption. The ideal regenerative energy (specified voltage section) represents the cumulative value of the ideal regenerative energy for one day corresponding to the specified voltage section and is calculated based on energy data. The average power consumption is a value included in the external equipment power consumption data 13d. Furthermore, as shown in Figure 19b, for example, the priority data 13e may include priority, condition code, cost-effectiveness, usable energy, rated power, equipment cost, expected energy absorption, and ideal regenerative energy (specified voltage section). Rated power and equipment cost are information indicated by the model code determined by the condition code.

[0230] The priority data 13e described above is merely an example and is not limited to these. For example, the expected power supply amount, which is the amount of power that the regenerative power absorption device is expected to supply, may be calculated based on the power supply amount (specified voltage section) and the regenerative power amount (specified voltage section), and this may be included in the priority data 13e. Here, the power supply amount (specified voltage section) represents the cumulative value of the power supply amount for one day corresponding to the specified voltage section, and the regenerative power amount (specified voltage section) represents the cumulative value of the regenerative power amount for one day corresponding to the specified voltage section.

[0231] <Method for Calculating Priority Data> As a method for calculating priority data 13e, the priority calculation unit 125 compares the amount of electricity expected to be absorbed by the regenerative power absorption device, which is calculated based on section and power consumption data, with the amount of electricity consumed by the external equipment power consumption data 13d. By doing so, it calculates the amount of electricity that the regenerative power absorption device can effectively utilize for each device introduction condition, and calculates priority data 13e based on this amount of electricity.

[0232] <Method for Calculating Priority Data Regarding Installation Location> Using Figures 17a and 17b, the method by which the priority calculation unit 125 calculates priority data 13e based on the section, energy data, and external equipment energy consumption data 13d in order to determine the appropriate installation location for a newly installed regenerative power absorber will be explained. When the priority calculation unit 125 calculates priority data 13e, for example, the designated voltage section is set to a voltage section equal to or greater than the absorption start voltage of the regenerative power absorber, and the expected energy absorption amount is calculated by comparing the ideal regenerative energy amount (designated voltage section) calculated from the energy data with the average energy consumption amount included in the external equipment energy consumption data 13d, and the priority is calculated based on the expected energy absorption amount.

[0233] Specifically, we consider calculating the priority for condition codes "101," "102," and "103" in each condition interval definition included in the interval definition data 13b shown in Figure 17a, where the specifications and operating parameters of the regenerative power absorption device are the same, but the installation location is different.

[0234] As shown in Figure 17a, the train voltage intervals determined by the train voltage interval definition are set to "1600-2000". As shown in the first row of Figure 17b, for the data with condition code "103", the ideal regenerative energy (specified voltage interval) is "900", the average power consumption is "1500", and all the power that the regenerative energy absorber can absorb can be consumed, so the expected power absorption is calculated to be "900". As shown in the second row of Figure 17b, for the data with condition code "101", the ideal regenerative energy (specified voltage interval) is "1000", the average power consumption is "800", and 800 kWh of the power that the regenerative energy absorber can absorb can be consumed, so the expected power absorption is calculated to be "800". As shown in the third row of Figure 17b, for the data with condition code "102", considering it in the same way as the data with condition code "103", the expected power absorption is calculated to be "500".

[0235] When calculating the estimated amount of electricity absorbed, it may be calculated based on one day's worth of electricity data, or the average of the estimated amount of electricity absorbed per day may be calculated from electricity data for multiple days.

[0236] After calculating the expected power absorption for each condition code in this way, the priority is calculated based on the assumption that a larger expected power absorption value corresponds to a higher priority. Therefore, the priority of condition code "103," which has the largest expected power absorption value, is calculated to be "1," the priority of condition code "101," which has the second largest expected power absorption value, is calculated to be "2," and the priority of condition code "102," which has the smallest expected power absorption value, is calculated to be "3." In this case, the location intervals for condition code "103," which has a priority of "1," are "upbound / downbound" and "11.0-13.0," so it can be determined that the installation locations corresponding to the location intervals "upbound / downbound" and "11.0-13.0" are appropriate installation locations.

[0237] The method for calculating priority data 13e to determine the appropriate installation location of the regenerative power absorption device described above is merely an example and is not limited to these. For example, the expected amount of absorbed power may not be calculated based on the ideal regenerative power amount (specified voltage section) and average power consumption, but rather by using the regenerative power reduction amount or the value obtained by subtracting the power consumption from the regenerative power amount. Alternatively, priority data 13e may be calculated using only power consumption data without using external equipment power consumption data 13d.

[0238] Alternatively, the designated voltage range may be set to a voltage range below the supply start voltage of the regenerative power absorption device, and priority data 13e may be calculated for the installation location of the regenerative power absorption device. For example, the designated voltage range may be set to a voltage range below the supply start voltage of the regenerative power absorption device, the power output (designated voltage range) and regenerative power output (designated voltage range) may be calculated from the power output data, the expected power output may be calculated by subtracting the regenerative power output (designated voltage range) from the power output (designated voltage range), and the priority may be calculated based on the expected power output.

[0239] <Method for Calculating Priority Data Regarding Operating Parameters> Using Figures 18a and 18b, the method by which the priority calculation unit 125 calculates priority data 13e based on energy consumption data and external equipment energy consumption data 13d in order to determine appropriate operating parameters for a newly installed regenerative power absorption device will be explained. When the priority calculation unit 125 calculates priority data 13e, for example, it sets a specified voltage interval for each condition code, and calculates the expected energy absorption amount by comparing the ideal regenerative energy amount (specified voltage interval) calculated from the energy consumption data with the average energy consumption amount included in the external equipment energy consumption data 13d, and then calculates the priority based on the expected energy absorption amount.

[0240] Specifically, we consider calculating priority for condition codes in each condition section definition included in the section definition data 13b shown in Figure 18a, where the specifications and installation location of the regenerative power absorption device are the same, but the operating parameters are different. Among the train voltage sections determined by the train voltage section definition shown in Figure 18a, the designated voltage section is set to "1590-2000" for condition code "208", "1600-2000" for condition code "209", and "1610-2000" for condition code "210", so that the starting point of the designated voltage section differs by 10V each, and the ending point of the designated voltage section is unified at 2000V.

[0241] As shown in the first row of Figure 18b, for the data with condition code "208", the ideal regenerative power (specified voltage section) is "830", the average power consumption is "1000", and all the power that the regenerative power absorption device can absorb can be consumed, so the expected power absorption is calculated to be "830". As shown in the second row and subsequent rows of Figure 18b, the expected power absorption is calculated similarly for the data with other condition codes. When calculating the expected power absorption, it may be calculated based on one day's worth of power consumption data, or the average value of the expected power absorption for one day may be calculated from power consumption data for multiple days.

[0242] After calculating the expected power absorption for each condition code in this way, the priority is calculated based on the assumption that a larger expected power absorption value corresponds to a higher priority. Therefore, the priority of condition code "208," which has the largest expected power absorption value, is calculated to be "1." In this case, since the specified voltage range for condition code "208," which has a priority of "1," is "1590-2000," it can be determined that 1590V is the most appropriate absorption start voltage.

[0243] The method for calculating priority data 13e to determine appropriate operating parameters for the regenerative power absorption device described above is merely an example and is not limited to these. For example, the expected amount of absorbed power may not be calculated based on the ideal regenerative power amount (specified voltage section) and average power consumption, but rather by using the regenerative power reduction amount or the value obtained by subtracting the power consumption from the regenerative power amount. Alternatively, priority data 13e may be calculated using only power consumption data without using external equipment power consumption data 13d.

[0244] Similar to the method for calculating priority data 13e to determine the absorption start voltage, which is an operating parameter of the regenerative power absorption device described above, priority data 13e may also be calculated to determine the supply start voltage. For example, section definition data 13b may be set based on different supply start voltages, the specified voltage section may be set to a voltage section below the supply start voltage of the regenerative power absorption device, the power energy (specified voltage section) and regenerative energy (specified voltage section) may be calculated from the energy data, the expected supply energy may be calculated by subtracting the regenerative energy (specified voltage section) from the power energy (specified voltage section), and the priority may be calculated based on the expected supply energy.

[0245] <Method for Calculating Priority Data Regarding Specifications> Using Figures 19a and 19b, the method by which the priority calculation unit 125 calculates priority data 13e based on energy consumption data and external equipment energy consumption data 13d in order to determine the appropriate specifications for a newly installed regenerative power absorption device will be explained. When the priority calculation unit 125 calculates priority data 13e, for example, the designated voltage section is set to a voltage section equal to or greater than the absorption start voltage of the regenerative power absorption device, and the expected amount of energy absorbed is calculated by comparing the ideal regenerative energy amount (designated voltage section) calculated from the energy consumption data with the average energy consumption included in the external equipment energy consumption data 13d. The usable energy amount is calculated based on the calculated expected amount of energy absorbed and the rated power included in the model code of each condition code, and the priority is calculated based on the calculated effectively usable energy amount and the equipment cost included in the model code of each condition code.

[0246] Specifically, we consider calculating the priority for condition codes "801," "802," "803," and "804" in each condition interval definition included in the interval definition data 13b shown in Figure 19a, where the installation location and operating parameters of the regenerative power absorption device are the same, but the model codes indicating the specifications of the regenerative power absorption device are different.

[0247] As shown in Figure 19b, the rated power for condition code "801" is "50" and the equipment cost is "10000", the rated power for condition code "802" is "100" and the equipment cost is "20000", the rated power for condition code "803" is "150" and the equipment cost is "30000", and the rated power for condition code "801" is "200" and the equipment cost is "40000". From the train voltage section definitions shown in Figure 19a, "1600-2000" is designated as the specified voltage section. As shown in Figure 19a, the condition section definitions for condition codes "801", "802", "803", and "804" are identical except for the model code, so as shown in Figure 19b, the ideal regenerative power (specified voltage section) calculated for condition codes "801", "802", "803", and "804" is assumed to be the same value of "2200".

[0248] Next, the expected amount of energy absorbed is calculated by comparing the ideal regenerative energy (specified voltage range) with the average power consumption. As shown in Figure 19b, if the average power consumption for condition codes "801", "802", "803", and "804" is "2100", then the average power consumption is smaller than the ideal regenerative energy (specified voltage range), and the regenerative power absorption device can consume 2100 kWh of the power it can absorb, so the expected amount of energy absorbed is calculated to be "2100".

[0249] Next, the usable power is calculated by comparing the maximum amount of power that the regenerative power absorber can absorb per day, calculated based on the rated power, with the expected amount of power to be absorbed. Here, train 2 runs for 20 hours, from 5:00 to 25:00, and the maximum amount of power that the regenerative power absorber can absorb per day is used to calculate the maximum amount of power that the regenerative power absorber can absorb in 20 hours.

[0250] For the model code "S001" under condition code "801," the rated power is "50," so the maximum amount of electricity that the regenerative power absorber can absorb per day is 1000 kWh. Therefore, under condition code "801," it is not possible to utilize the entire expected amount of electricity absorbed, "2100," and the usable amount of electricity is calculated to be "1000." Similarly, when calculating the usable amount of electricity for condition code "802," the usable amount of electricity is calculated to be "2000." For the model code "S003" under condition code "803," the rated power is "150," so the maximum amount of electricity that the regenerative power absorber can absorb per day is 3000 kWh. Therefore, under condition code "803," it is possible to utilize the entire expected amount of electricity absorbed, "2100," and the usable amount of electricity is calculated to be "2100." Similarly, when calculating the usable electricity amount for condition code "804," the usable electricity amount is calculated to be "2100."

[0251] Next, the cost-effectiveness is calculated by dividing the calculated usable electricity by the equipment cost. For condition code "801", the usable electricity is "1000" and the equipment cost is "10000", so the cost-effectiveness is calculated to be "0.1". For model code "S002", the usable electricity is "2000" and the equipment cost is "20000", so the cost-effectiveness is calculated to be "0.1". For model code "S003", the usable electricity is "2100" and the equipment cost is "30000", so the cost-effectiveness is calculated to be "0.07". For model code "S004", the usable electricity is "2100" and the equipment cost is "40000", so the cost-effectiveness is calculated to be "0.0525".

[0252] Next, priority is calculated based on the calculated cost-benefit ratio. The higher the cost-benefit ratio, the higher the priority. Here, if there are condition codes with the same cost-benefit ratio, it is acceptable for multiple condition codes to have the same priority.

[0253] As shown in Figure 19b, the cost-effectiveness is greatest when the value is "0.1", and the condition codes at this time are "801" and "802", so condition codes "801" and "802" are given priority "1". The next most cost-effective value is when the value is "0.07", and the condition code at this time is "803", so condition code "803" is given priority "3". The next most cost-effective value is when the value is "0.0525", and the condition code at this time is "804", so condition code "804" is given priority "4".

[0254] When there are multiple condition codes with priority "1" as described above, a person can look at the available power and equipment costs for the condition codes with priority "1" among the priority data 13e displayed by the display unit 14, and determine the condition code that indicates the appropriate specifications for the regenerative power absorption device, taking cost-effectiveness into consideration.

[0255] The method for calculating the priority data 13e to determine the appropriate specifications for the regenerative power absorption device described above is not limited to these. For example, instead of calculating priority based on cost-effectiveness, priority may be calculated based on usable energy, emphasizing the effective use of more regenerative power. Also, when calculating priority based on usable energy, if there are multiple condition codes for priority "1", the specification corresponding to the condition code with the highest cost-effectiveness among the condition codes for priority "1" may be deemed appropriate. Furthermore, when calculating usable energy, regenerative power reduction energy, the value obtained by subtracting power consumption energy from regenerative energy, the ideal regenerative energy below the rated power calculated from the value of the ideal regenerative energy divided by the ideal regenerative power interval, or information contained in the external equipment power consumption data 13d may be used. Alternatively, priority data 13e may be calculated using only energy consumption data without using the external equipment power consumption data 13d.

[0256] <Operation of the display unit> The display unit 14 displays the priority data 13e calculated by the priority calculation unit 125. By looking at the displayed priority data 13e, a person can determine whether sufficient effect can be obtained by installing the regenerative power absorption device for at least one of the device introduction conditions for the regenerative power absorption device, and determine the appropriate device introduction conditions for the regenerative power absorption device. In addition to the priority data 13e, the display unit 14 may also display at least one of the section correspondence data 13c and external equipment power consumption data 13d.

[0257] <Operation of the Energy Analyzer and Energy Analysis Method> Next, the details of the processing performed by the processing unit 12 of the energy analyzer 1b according to Embodiment 3 and the energy analysis method will be explained using Figure 20. Figure 20 is a flowchart showing the operation of the energy analyzer 1b according to Embodiment 3. The operation shown in Figure 20 is the same as the operation shown in Figure 15, with step S21 added between steps S03 and S12, and step S12 changed to step S22. Therefore, steps S21 and S22 will be mainly explained below.

[0258] In step S11, the external equipment power consumption data acquisition unit 12d of the data acquisition unit 120 acquires the external equipment power consumption data 13d from the storage unit 13. If the external equipment power consumption data 13d is not used when the priority calculation unit 125 calculates the priority data 13e, step S11 does not need to be performed.

[0259] In step S21, the priority calculation unit 125 calculates priority data 13e based on the section, weather statistics, power consumption data, and external equipment power consumption data 13d. Alternatively, the priority calculation unit 125 may calculate priority data 13e based on the section and power consumption data, or it may calculate priority data 13e based on the section, weather statistics, and power consumption data.

[0260] In step S22, the display unit 14 displays priority data 13e. By viewing the priority data 13e displayed by the display unit 14, a person can determine the appropriate conditions for introducing the regenerative power absorption device. Here, in addition to the priority data 13e, the display unit 14 may also display at least one of the following data: section, weather statistics, power consumption data, and external equipment power consumption data 13d.

[0261] <Effects> As described above, the power consumption analyzer 1b according to Embodiment 3 includes a priority calculation unit 125 that calculates priority data 13e indicating the priority of at least one of the device introduction conditions based on the section-corresponding data 13c, and the display unit 14 displays the priority data 13e. By looking at the priority data 13e displayed in this way, it is possible to easily determine the appropriate device introduction conditions for a newly installed regenerative power absorption device based on the priority of at least one of the device introduction conditions for the regenerative power absorption device indicated by the priority data 13e.

[0262] Furthermore, in Embodiment 3, the data acquisition unit 120 of the power consumption analyzer 1b acquires external equipment power consumption data 13d, which is information regarding the power consumption of external equipment 4 that consumes the power supplied by the regenerative power absorption device. The priority calculation unit 125 calculates priority data 13e based on the section correspondence data 13c and the external equipment power consumption data 13d, and the display unit 14 displays the priority data 13e. In this way, the priority data 13e calculated using the external equipment power consumption data 13d in addition to the section correspondence data 13c is displayed. As a result, by looking at this priority data 13e, it is possible to easily determine the appropriate device introduction conditions for a newly installed regenerative power absorption device, taking into consideration whether the external equipment 4 can consume the power absorbed by the regenerative power absorption device.

[0263] <Embodiment 4> The power analysis device 1c according to Embodiment 4 will be described with reference to Figures 21 to 24. In Embodiment 2, the same reference numerals are used for the same components as in Embodiments 1 to 3, and the differences from Embodiments 1 to 3 will be mainly described.

[0264] <Configuration of the power consumption analyzer> Figure 21 is a diagram showing an example of the configuration of the power consumption analyzer 1c according to Embodiment 4. In Embodiment 4, the processing unit 12 includes a simulation unit 126, and the storage unit 13 stores the device operation status simulation results 13f.

[0265] <Operation of the Simulation Unit> The simulation unit 126 is, for example, a power supply simulator, and is a power simulator that calculates the voltage, current, and power of the power supply. Based on the train running performance data 13a and the equipment installation conditions, the simulation unit 126 calculates the power supply situation assuming that a regenerative power absorption device is installed according to the equipment installation conditions, and calculates the equipment operation status simulation result 13f, which includes the voltage and current, which are the operating status of the regenerative power absorption device. Since the simulation unit 126 performs calculations by simulating a large-scale DC electrical circuit, it takes a lot of time to calculate the results, and it takes an enormous amount of time to consider the equipment installation conditions for multiple regenerative power absorption devices using only the simulation unit 126. Therefore, in Embodiment 4, after narrowing down the equipment installation conditions for regenerative power absorption devices that are considered to have a large amount of power that can be effectively utilized by installation using at least one of the section-corresponding data 13c and priority data 13e, the simulation unit 126 calculates the equipment operation status simulation result 13f, assuming that the regenerative power absorption device is installed according to the equipment installation conditions of the narrowed-down regenerative power absorption devices.

[0266] As a method for determining the installation conditions of a regenerative power absorption device, assuming it has been installed, for example, the simulation unit 126 calculates the device operation status simulation result 13f based on the device installation conditions of the regenerative power absorption device indicated by the condition code with the highest priority, by referring to the priority data 13e calculated by the priority calculation unit 125. Alternatively, for example, if there are multiple condition codes with high priority, the simulation unit 126 may calculate the device operation status simulation result 13f based on each of the device installation conditions of the regenerative power absorption device indicated by the multiple condition codes. Here, in order for the power quantity analyzer 1c to automatically determine the device installation conditions used by the simulation unit 126, the power quantity analyzer 1c may be further provided with a condition determination unit that determines the device installation conditions based on the priority indicated by the priority data 13e.

[0267] Furthermore, as a method for determining the device introduction conditions for a regenerative power absorption device that is assumed to be installed, the display unit 14 may display at least one of the section-corresponding data 13c and priority data 13e, and the person looking at the display unit 14 may determine the device introduction conditions. Here, an input unit may be provided for inputting the device introduction conditions used by the simulation unit 126 into the power quantity analyzer 1c.

[0268] The method by which the simulation unit 126 calculates the device operation status simulation result 13f described above is merely an example and is not limited to these methods. Furthermore, the simulation unit 126 may be implemented as one of the functions of the energy analyzer 1c, or it may be a device provided outside the energy analyzer 1c.

[0269] <Configuration of the device operation status simulation results> Figures 22 and 23 will be used to explain the details of the device operation status simulation results 13f. Figures 22 and 23 are diagrams showing an example of the device operation status simulation results 13f according to Embodiment 4.

[0270] As shown in Figure 22, the device operation status simulation result 13f includes condition code, date, time, voltage, current, and power. Current and power are negative values ​​when the regenerative power absorber absorbs power, and positive values ​​when the regenerative power absorber supplies power.

[0271] As shown in Figure 23, the device operation status simulation result 13f may be calculated by accumulating the daily cumulative values ​​of supplied power and absorbed power, which represent the operating status of the regenerative power absorption device, based on the device operation status simulation result 13f shown in Figure 22, every second. In this case, as shown in Figure 23, the device operation status simulation result 13f includes a condition code, date, device supplied power, and device absorbed power. The device supplied power is the cumulative value of the power supplied by the regenerative power absorption device and is calculated based on the positive values ​​of voltage and current or power included in the device operation status simulation result 13f shown in Figure 22. The device absorbed power is the cumulative value of the power absorbed by the regenerative power absorption device and is calculated based on the negative values ​​of voltage and current or power included in the device operation status simulation result 13f shown in Figure 22.

[0272] The above-mentioned device operation status simulation results 13f are merely examples and are not limited to these. For example, when calculating the daily device operation status simulation results 13f shown in Figure 23, one may calculate the cumulative value of the operation status of the regenerative power absorption device for a specific day, or one may use data from multiple dates to calculate the cumulative value of the operation status of the regenerative power absorption device for each day, and then calculate the average value of the cumulative value of the operation status of the regenerative power absorption device for each day to be used as the device absorbed power amount or device supplied power amount.

[0273] <Operation of the display unit> The display unit 14 displays the device operation status simulation results 13f calculated by the simulation unit 126. By viewing the device operation status simulation results 13f displayed by the display unit 14, a person can confirm whether sufficient effects can be obtained by installing a regenerative power absorption device for the device introduction conditions of one or more regenerative power absorption devices, and can determine the appropriate device introduction conditions for the regenerative power absorption device. Furthermore, by viewing the device operation status simulation results 13f, which are more accurately calculated results regarding the amount of electricity that can be effectively utilized by newly installing a regenerative power absorption device, it is expected that the accuracy of the device introduction conditions for the regenerative power absorption device will improve. In addition to the device operation status simulation results 13f, the display unit 14 may also display one or more of the following data: section-corresponding data 13c, external equipment power consumption data 13d, and priority data 13e.

[0274] <Operation of the Energy Analyzer and Energy Analysis Method> Next, the details of the processing performed by the processing unit 12 of the energy analyzer 1c according to Embodiment 4 and the energy analysis method will be explained using Figure 24. Figure 24 is a flowchart showing the operation of the energy analyzer 1c according to Embodiment 4. The operation in Figure 24 is the same as the operation in Figure 20, with step S31 added between steps S21 and S22, and step S22 changed to step S32. Therefore, steps S31 and S32 will be mainly explained below.

[0275] In step S31, the simulation unit 126 calculates a device operation status simulation result 13f, which shows the operating status of the regenerative power absorption device when a new regenerative power absorption device is installed, based on the train running performance data 13a and the device introduction conditions.

[0276] In step S32, the display unit 14 displays the device operation status simulation result 13f. Here, in addition to the device operation status simulation result 13f, the display unit 14 may also display one or more of the following data: section-corresponding data 13c, external equipment power consumption data 13d, and priority data 13e.

[0277] <Effects> As described above, the power consumption analyzer 1c according to Embodiment 4 includes an input unit for inputting device installation conditions determined based on section-corresponding data 13c, and a simulation unit 126 that calculates a device operation status simulation result 13f showing the operating status of the regenerative power absorption device to be installed according to the input device installation conditions, based on train running performance data 13a and the input device installation conditions. The display unit 14 displays the device operation status simulation result 13f. In this way, the device operation status simulation result 13f, which is the operating status of the regenerative power absorption device calculated with high accuracy by the simulation unit 126, is displayed. As a result, by looking at the device operation status simulation result 13f, a person can more accurately determine the appropriate device installation conditions for the regenerative power absorption device.

[0278] Furthermore, in Embodiment 4, the power consumption analyzer 1c narrows down appropriate device introduction conditions based on power consumption data or priority data 13e, and calculates the device operation status simulation result 13f according to the narrowed-down device introduction conditions. With this configuration, it is not necessary for the simulation unit 126 to calculate the device operation status simulation result 13f for all device introduction conditions. As a result, calculation costs are reduced, and appropriate device introduction conditions for the regenerative power absorption device can be determined more accurately based on the device operation status simulation result 13f.

[0279] Furthermore, in Embodiment 4, the power consumption analyzer 1c includes a condition determination unit that determines the device installation conditions based on the priority indicated by the priority data 13e, and a simulation unit that calculates a device operation status simulation result 13f showing the operating status of the regenerative power absorption device to be installed according to the determined device installation conditions, based on the train running performance data 13a and the determined device installation conditions, and the display unit 14 displays the device operation status simulation result 13f. In this way, the condition determination unit automatically determines the device installation conditions for calculating the device operation status simulation result 13f, and the device operation status simulation result 13f calculated using high-priority device installation conditions is displayed. As a result, by looking at the device operation status simulation result 13f that is automatically calculated based on the train running performance data 13a and the section definition data 13b, a person can more accurately and easily determine the appropriate device installation conditions for the regenerative power absorption device.

[0280] <Embodiment 5> The power analysis device 1d according to Embodiment 5 will be described with reference to Figures 25 to 34. In Embodiment 5, the same reference numerals are used for components that are the same as those in Embodiments 1 to 4, and the description will mainly focus on the configuration that differs from Embodiments 1 to 4.

[0281] <Configuration of the Power Consumption Analysis System> Figure 25 shows an example of the configuration of the power consumption analysis system 100b according to Embodiment 5. In Embodiment 5, one or more existing devices 5, which are regenerative power absorption devices, are already installed on the overhead line where the installation of regenerative power absorption devices is being considered, and the case is considered in which existing device operation performance data 13g, which shows the current and voltage measured when the existing devices 5 are operating, is used.

[0282] The existing device 5 includes a communication unit 51 that communicates with devices outside of the existing device 5, and a measuring instrument (not shown) that acquires existing device operation performance data 13g. The communication unit 51 communicates with the communication unit 31 of the data acquisition device 3. The communication unit 51 transmits the existing device operation performance data 13g acquired by the measuring instrument to the data acquisition device 3. The existing device operation performance data 13g is data that indicates the operating status of the existing device 5.

[0283] The details of the existing equipment operation performance data 13g will be explained using Figure 26. Figure 26 is a diagram showing an example of the existing equipment operation performance data 13g. For example, as shown in Figure 26, the existing equipment operation performance data 13g includes the existing equipment code, date, time, voltage, current, and power. The existing equipment code is an item used to identify the existing equipment 5. The current and power are the values ​​of the current and power measured in the existing equipment 5, and are shown as negative values ​​when the existing equipment 5 absorbs power and positive values ​​when the existing equipment 5 supplies power. Note that the existing equipment operation performance data 13g shown in Figure 26 is just an example and is not limited to these.

[0284] The data acquisition device 3 collects train running performance data 13a and existing equipment operation performance data 13g. The communication unit 31 communicates with the communication unit 21 of each train 2 and with the communication unit 51 of each existing equipment 5. The communication unit 31 receives the train running performance data 13a output from the communication unit 21 of each train 2 and outputs the train running performance data 13a to the energy consumption analyzer 1d. The communication unit 31 receives the existing equipment operation performance data 13g output from the communication unit 51 of each existing equipment 5 and outputs the existing equipment operation performance data 13g to the energy consumption analyzer 1d. The communication unit 31 of the data acquisition device 3 and the communication unit 21 of the train 2 may be connected to each other so as to be able to communicate via wireless communication. The communication unit 31 of the data acquisition device 3 and the communication unit 51 of the existing equipment 5 may be connected to each other so as to be able to communicate via wireless communication, or they may be connected to each other so as to be able to communicate via a network. The wireless communication method and the network are not particularly limited.

[0285] The data acquisition device 3 collects train running performance data 13a and existing equipment operation performance data 13g according to an arbitrary acquisition cycle. Here, the acquisition cycle can be arbitrarily set between, for example, several tens of milliseconds and one second. The data acquisition device 3 transmits the collected train running performance data 13a and existing equipment operation performance data 13g to the power consumption analyzer 1 according to an arbitrary transmission cycle. Here, the transmission cycle can be arbitrarily set between, for example, several minutes and one hour. Alternatively, the data acquisition device 3 may transmit the train running performance data 13a and existing equipment operation performance data 13g to the power consumption analyzer 1d according to commands issued by the power consumption analyzer 1d.

[0286] The methods for collecting the train running performance data 13a and the existing equipment operation performance data 13g described above are merely examples and are not limited to these. For example, multiple data collection devices 3 may be used to collect the train running performance data 13a and the existing equipment operation performance data 13g. Specifically, a data collection device 3 for collecting train running performance data 13a and a data collection device 3 for collecting existing equipment operation performance data 13g may be provided.

[0287] <Configuration of the Power Consumption Analysis Device> Next, the power consumption analysis device 1d according to Embodiment 5 will be described. Figure 27 is a diagram showing an example of the configuration of the power consumption analysis device 1d according to Embodiment 5. In Embodiment 5, the data acquisition unit 120 of the processing unit 12 includes an existing equipment operation performance data acquisition unit 12g, the processing unit 12 includes a power consumption correction unit 127, and the storage unit 13 stores external equipment power consumption data 13d and existing equipment operation performance data 13g.

[0288] <Operation of the communication unit> The communication unit 11 receives train running performance data 13a and existing equipment operation performance data 13g output from the communication unit 31 of the data acquisition device 3, and outputs the train running performance data 13a and existing equipment operation performance data 13g to the processing unit 12.

[0289] <Operation of the Data Acquisition Unit> The existing equipment operation performance data acquisition unit 12g of the data acquisition unit 120 stores the existing equipment operation performance data 13g acquired by the communication unit 11 from the data collection device 3 in the storage unit 13, and then acquires the existing equipment operation performance data 13g from the storage unit 13 and outputs it to the power consumption data calculation unit 121. However, the existing equipment operation performance data acquisition unit 12g may not store the acquired existing equipment operation performance data 13g in the storage unit 13, but may instead directly output the existing equipment operation performance data 13g acquired from the data collection device 3 to the power consumption data calculation unit 121. If the existing equipment operation performance data acquisition unit 12g does not store the existing equipment operation performance data 13g in the storage unit 13, the storage unit 13 will not store the existing equipment operation performance data 13g. The existing equipment operation performance data acquisition unit 12g may be a communication device, an interface for a communication device, or the power consumption analyzer 1d itself.

[0290] <Configuration of Interval Definition Data> Details of each condition interval definition included in the interval definition data 13b according to Embodiment 5 will be explained using Figure 28. Figure 28 is a diagram showing an example of each condition interval definition included in the interval definition data 13b. Each condition interval definition shown in Figure 28 includes, in addition to each condition interval definition shown in Figure 5b, an existing device code, and an existing device voltage interval definition that includes an existing device voltage interval reference value A, an existing device voltage interval reference value B, and an existing device voltage interval width. Here, when setting the interval definition data 13b corresponding to the existing device 5, an existing device code is assigned, and when setting the interval definition data 13b corresponding to the device introduction conditions of a newly installed regenerative power absorption device, a condition code is assigned.

[0291] <Definition of Existing Equipment Voltage Intervals> Based on the definitions of existing equipment voltage intervals included in each condition interval definition in Figure 28, the existing equipment voltage intervals are determined. The existing equipment voltage interval is the interval relating to the voltage measured by the existing equipment 5, and is, for example, the interval relating to the voltage included in the existing equipment operation performance data 13g shown in Figure 26.

[0292] Regarding the method for determining the voltage section of an existing device based on the definition of the voltage section of an existing device, for example, the voltage section of an existing device is determined in the same way as the method for determining the train voltage section based on the definition of the voltage section of a train. For the same existing device code, the train voltage section and the voltage section of the existing device may be defined as the same section or as different sections. If no voltage section of an existing device is provided, a section wide enough to include all voltages that can be measured by the existing device 5 should be set.

[0293] For example, as shown in the row for the existing device code "AS501" in the definition of each condition interval in Figure 28, when the existing device voltage interval reference value B is "0 (V)" and the existing device voltage interval width is "2000 (V)", the existing device voltage interval is given by the following equation (17) with respect to the voltage Ve(t) measured by the existing device 5.

[0294]

[0295] If the voltage measured by the existing device 5 is less than 2000V, all data will fall within the existing device voltage range "0 ≤ Ve(t) < 2000", which is equivalent to not having an existing device voltage range.

[0296] The existing equipment voltage interval reference value A and the existing equipment voltage interval reference value B may be set based on the operating parameters of the existing equipment 5. The existing equipment voltage interval reference value A may be set, for example, based on the supply start voltage value of the existing equipment 5. The existing equipment voltage interval reference value B may be set, for example, based on the absorption start voltage value of the existing equipment 5.

[0297] When setting the interval definition data 13b for an existing device 5, it is sufficient to set at least one of the existing device voltage interval reference value A and the existing device voltage interval reference value B. Also, when setting the interval definition data 13b for a newly installed regenerative power absorption device, it is not necessary to set the existing device voltage interval definition. For each existing device 5, it is sufficient to set at least one of the existing device voltage interval reference value A and the existing device voltage interval reference value B.

[0298] However, the method for determining the voltage interval of existing equipment is not limited to these. For example, the type and position of the inequality signs do not have to be the same as in equation (17).

[0299] <Operation of the Power Consumption Data Calculation Unit> Based on the train running performance data 13a, the power consumption data calculation unit 121 calculates power consumption data for each existing equipment section, which is a section determined by the section definition data 13b assigned to the existing equipment code, and creates existing equipment section correspondence data 13h that shows the correspondence between the existing equipment section and the power consumption data. Furthermore, based on the existing equipment operating performance data 13g, the power consumption data calculation unit 121 calculates existing equipment power consumption data, which is a statistical amount of the operating status of the existing equipment 5 calculated for each existing equipment section, and creates existing equipment section correspondence data 13h that shows the correspondence between the existing equipment section and the existing equipment power consumption data.

[0300] Figures 29a and 29b will be used to explain the details of the existing equipment section-corresponding data 13h according to Embodiment 5. Figures 29a and 29b are diagrams showing an example of the existing equipment section-corresponding data 13h. Specifically, Figure 29a shows an example of existing equipment section, meteorological statistics, and power consumption data, and Figure 29b shows an example of existing equipment section and existing equipment power consumption data.

[0301] In the power consumption data calculation unit 121, the train running performance data 13a is divided using the existing equipment section, and meteorological statistics and power consumption data are calculated based on the divided train running performance data 13a. When calculating meteorological statistics and power consumption data using the existing equipment section in this way, the meteorological statistics and power consumption data may be calculated in the same way as the method shown in Embodiment 1. As shown in Figure 29a, the existing equipment section, meteorological statistics and power consumption data include data related to the existing equipment code, direction, date, time section, temperature section, weather (rain) section, train voltage section, power consumption, regenerative power, minimum regenerative power, maximum regenerative power, regenerative reduction power, ideal regenerative power, ideal regenerative power (power section: 0-50kW), ideal regenerative power (power section: 50-100kW), ideal regenerative power (power section: 100-150kW), and ideal regenerative power (power section: 150-200kW).

[0302] In the power consumption data calculation unit 121, the existing equipment operating performance data 13g is divided using the existing equipment interval, and the existing equipment power consumption data is calculated by calculating statistical amounts for each item from the divided existing equipment operating performance data 13g. As shown in Figure 29b, the existing equipment power consumption data includes data on the existing equipment code, date, time interval, existing equipment voltage interval, existing equipment power supply amount, and existing equipment power absorption amount.

[0303] The power consumption data calculation unit 121 divides the train running performance data 13a and the existing equipment operation performance data 13g based on the location section, time section, train voltage section, and existing equipment voltage section determined by the section definition data 13b. From the divided data, for data where all information regarding date, location, time, and voltage matches, it extracts the section corresponding to the meteorological statistics calculated based on the temperature section and weather (rain) section determined by the section definition data 13b, and calculates the statistics for power-related data to calculate meteorological statistics, power consumption data, and existing equipment power consumption data. In the power consumption data calculation unit 121, by dividing the train running performance data 13a and the existing equipment operation performance data 13g using the existing equipment section, it is possible to extract data from the train running performance data 13a and the existing equipment operation performance data 13g that particularly affects the operating status of the existing equipment 5, organize the data that particularly affects the operating status of the existing equipment 5 by section, and calculate existing equipment section-corresponding data 13h linked as equipment influence information. Furthermore, by calculating the power consumption data of the existing equipment using the existing equipment operating performance data 13g, it becomes possible to compare the power consumption data calculated by the power consumption correction unit 127 (described later) with the power consumption data of the existing equipment.

[0304] <Effects and division method of using existing device voltage intervals> The existing device voltage interval determined by interval definition data 13b is an interval related to the voltage measured by the existing device 5, and is used in the calculation of existing device energy data in the energy data calculation unit 121. Since the existing device 5 is controlled based on voltage, it can be said that the voltage measured by the existing device 5 affects the operating status of the existing device 5. By dividing the existing device operating performance data 13g based on the existing device voltage interval determined by interval definition data 13b, it is possible to calculate existing device energy data divided into intervals related to voltage. In this way, similar to the energy data, the existing device energy data is also divided into intervals related to voltage, so the energy data and existing device energy data can be compared for each data corresponding to the interval related to voltage.

[0305] As a method for dividing the existing equipment operation performance data 13g based on the existing equipment voltage section, it can be divided in the same way as the method for dividing the train running performance data 13a based on the train voltage section shown in Embodiment 1. Furthermore, different sections may be set for the train voltage section and the existing equipment voltage section. For example, as shown in the row for the existing equipment code "AS501" in each conditional section definition of the section definition data 13b in Figure 28, if the train voltage section and the existing equipment voltage section are different, dividing the train running performance data 13a will result in the representation shown in the 7th and 8th rows of the existing equipment section-corresponding data 13h in Figure 29a, and dividing the existing equipment operation performance data 13g will result in the representation shown in the 5th row of the existing equipment section-corresponding data 13h in Figure 29b. Note that the method of dividing the existing equipment operation performance data 13g based on the existing equipment voltage section determined by each conditional section definition of the section definition data 13b described above is just one example and is not limited to these.

[0306] Figure 30 shows an example of data obtained by dividing the existing equipment operation performance data 13g shown in Figure 26 using time intervals and existing equipment voltage intervals determined by interval definition data 13b, and linking the corresponding time intervals and existing equipment voltage intervals. The power consumption data calculation unit 121 calculates the existing equipment power consumption data by calculating statistical amounts of power data for the data shown in Figure 30 for which all information regarding date, time, and voltage matches.

[0307] <Method for Calculating Existing Equipment Power Consumption Data> Examples of statistical quantities of power data calculated by the power consumption data calculation unit 121, which constitutes existing equipment power consumption data, include the existing equipment supplied power consumption, which is the cumulative value of the power supplied by the existing equipment 5, and the existing equipment absorbed power consumption, which is the cumulative value of the power absorbed by the existing equipment 5. However, the statistical quantities to be calculated are not limited to these.

[0308] As a method for calculating the amount of power supplied by existing equipment, for example, the power included in the operating performance data 13g of the target existing equipment that has a positive value is calculated as the power supplied by the existing equipment, and the amount of power supplied by the existing equipment is calculated by adding up the calculated power supplies of the existing equipment.

[0309] Specifically, the amount of power supplied by the existing equipment is calculated based on data where the existing equipment code, date, time interval, and voltage interval are the same, as shown in the third to fifth rows of Figure 30, from the existing equipment operation performance data 13g which is divided based on the time interval and existing equipment voltage interval determined by the interval definition data 13b shown in Figure 30.

[0310] First, the power supplied by the existing equipment is calculated for each row of data. As shown in the third row of Figure 30, when the power is "38", the power supplied by the existing equipment is calculated to be "38". Next, the amount of power supplied by the existing equipment is calculated by adding up the power supplied by the existing equipment calculated for each row of data. By adding up the power supplied by the existing equipment calculated in the same way for data with the existing equipment code "AS001", date "2023 / 04 / 01", time section "10:00:00-11:00:00", and train voltage section "1150-1200", the amount of power supplied by the existing equipment is calculated for the data with existing equipment code "AS001", date "2023 / 04 / 01", time section "10:00:00-11:00:00", and train voltage section "1150-1200".

[0311] However, the methods for calculating the power supply amount of existing equipment are not limited to these.

[0312] As a method for calculating the amount of power absorbed by existing equipment, for example, the power that is negative among the power contained in the operating performance data 13g of the target existing equipment is calculated as the power absorbed by the existing equipment, and the amount of power absorbed by the existing equipment is calculated by adding up the calculated power absorbed by the existing equipment.

[0313] Specifically, the amount of power absorbed by the existing equipment is calculated based on data where the existing equipment code, date, time interval, and voltage interval are the same, as shown in rows 6, 7, 9, and 10 of Figure 30, from the existing equipment operation performance data 13g which is divided based on the time interval and existing equipment voltage interval determined by the interval definition data 13b shown in Figure 30.

[0314] First, the power absorbed by the existing equipment is calculated for each row of data. As shown in row 6 of Figure 30, when the power is "-200", the power absorbed by the existing equipment is calculated to be "200". Next, the amount of power absorbed by the existing equipment is calculated by adding up the power absorbed by the existing equipment calculated for each row of data. By adding up the power absorbed by the existing equipment calculated in the same way for data with the existing equipment code "AS001", date "2023 / 04 / 01", time section "15:00:00-16:00:00", and train voltage section "1600-1650", the amount of power absorbed by the existing equipment is calculated.

[0315] However, the methods for calculating the amount of power absorbed by existing equipment are not limited to these.

[0316] <Operation of the Power Quantity Correction Unit> The power quantity correction unit 127 calculates corrected power quantity data 13i by correcting the power quantity data calculated based on the device introduction conditions of the newly installed regenerative power absorption device, and links the correspondence between the corrected power quantity data 13i and the section to the section correspondence data 13c. Here, the power quantity correction unit 127 corrects the power quantity data based on the difference between the measured power quantity data calculated based on the current and voltage measured when the existing device 5 is operating, and the estimated power quantity data estimated based on the device introduction conditions and train running performance data 13a related to the existing device 5. For example, the power quantity correction unit 127 calculates measured power quantity data based on the existing device power quantity data calculated using the existing device section, and calculates estimated power quantity data based on the meteorological statistics and power quantity data calculated using the existing device section. When one or more existing regenerative power absorption devices 5 are already installed on a route where the installation of a new regenerative power absorption device is being considered, and operational performance data 13g of the existing devices 5 after their installation is available, the reliability of the data used to consider appropriate device installation conditions for the newly installed regenerative power absorption device can be improved by calculating corrected power data 13i for the device introduction conditions of the newly installed regenerative power absorption device based on the difference between the measured power data and the estimated power data.

[0317] The details of the corrected power amount data 13i will be explained using Figure 31. Figure 31 is a diagram showing an example of section-corresponding data 13c that includes the corrected power amount data 13i. For example, as shown in Figure 31, the corrected power amount data 13i includes powering power, regenerative power, minimum regenerative power, maximum regenerative power, regenerative throttling power, ideal regenerative power (power section: 0-50 kW), ideal regenerative power (power section: 50-100 kW), ideal regenerative power (power section: 100-150 kW), ideal regenerative power (power section: 150-200 kW), corrected estimated supply power, and corrected estimated absorption power. The corrected power amount data 13i shown in Figure 31 is data obtained by adding the corrected estimated supply power and corrected estimated absorption power to the power amount data for the equipment introduction conditions of a newly installed regenerative power absorption device.

[0318] <Method for Calculating Corrected Power Data> The power correction unit 127 uses various existing technologies to calculate corrected power data 13i by correcting the power data. As a method for calculating corrected power data 13i, for example, measured power data is calculated based on existing equipment power data calculated using the existing equipment section, estimated power data is calculated based on meteorological statistics and power data calculated using the existing equipment section, and a correction coefficient is calculated by comparing the measured power data and the estimated power data. Then, using this correction coefficient, the estimated power data calculated from power data for the equipment introduction conditions of the newly installed regenerative power absorption device is corrected, and the corrected estimated power data is added to the power data to calculate the corrected power data 13i.

[0319] Specifically, we consider the case where a correction coefficient is derived using an example of the existing equipment section-corresponding data 13h shown in Figures 32a and 32b, and the corrected power amount data 13i for the equipment introduction conditions of the newly installed regenerative power absorption device shown in Figure 31 is calculated. Here, the estimated power amount absorbed by the existing equipment 5, which is predicted to be absorbed by the existing equipment, is calculated as the power amount estimated value data based on the power amount data. In addition, the power amount absorbed by the existing equipment, which is included in the existing equipment power amount data, is used as the measured power amount data.

[0320] As shown in the third row of the power quantity data for the existing equipment section data 13h in Figure 32a, the ideal regenerative power quantity in the train voltage section "1600-2000" is "400", so the expected power quantity absorbed by the existing equipment is 400 kWh. As shown in the third row of the existing equipment power quantity data for the existing equipment section data 13h in Figure 32b, the power quantity absorbed by the existing equipment in the existing equipment voltage section "1600-2000" is "320". Therefore, it can be seen that for power quantity data and existing equipment power quantity data where the date and time section are the same and the train voltage section and existing equipment voltage section are the same, the expected power quantity absorbed by the existing equipment and the power quantity absorbed by the existing equipment are different.

[0321] Next, the estimated power absorption of the existing equipment is compared with the actual power absorption of the existing equipment, and a correction coefficient to express the difference is calculated. The power data for the equipment introduction conditions of the newly installed regenerative power absorption device is then corrected based on the calculated correction coefficient to calculate the corrected power absorption data 13i. As described above, when the estimated power absorption of the existing equipment is 400 kWh and the power absorption of the existing equipment is calculated to be "320" for the same date and time section, and the same train voltage section and existing equipment voltage section, the correction coefficient is set to 0.80, which is the power absorption of the existing equipment divided by the ideal regenerative power. At this time, as shown in the fourth row of the corrected power absorption data 13i in the section-corresponding data 13c in Figure 31, for data where the date, time section, and train voltage section are the same as the data for which the correction coefficient was calculated, the corrected estimated power absorption of "360" is calculated by multiplying the ideal regenerative power of "450" ​​by the calculated correction coefficient of 0.80.

[0322] Furthermore, we consider the case where the estimated amount of electricity supplied by the existing device 5, which is predicted to be supplied by the existing device, is calculated based on the electricity data, and the amount of electricity supplied by the existing device, which is included in the existing device electricity data, is used as the actual measured electricity data.

[0323] As shown in the first row of the power consumption data for the existing equipment section data 13h in Figure 32a, the value obtained by subtracting the regenerative power consumption from the power consumption for traction in the train voltage section "800-1200" is "50", so the estimated power consumption supplied by the existing equipment is 50 kWh. As shown in the first row of the actual operating data for the existing equipment section data 13h in Figure 32b, the power consumption supplied by the existing equipment in the existing equipment voltage section "800-1200" is "60". Therefore, it can be seen that for power consumption data and existing equipment power consumption data where the date and time section are the same and the train voltage section and existing equipment voltage section are the same, the estimated power consumption supplied by the existing equipment and the power consumption supplied by the existing equipment are different.

[0324] Next, the estimated power supply amount of the existing equipment is compared with the actual power supply amount of the existing equipment, and a correction coefficient to express the difference is calculated. The power data for the equipment introduction conditions of the newly installed regenerative power absorption device is then corrected based on the calculated correction coefficient to calculate the corrected power amount data 13i. As described above, when the estimated power supply amount of the existing equipment is 50 kWh and the actual power supply amount of the existing equipment is calculated to be "60" for the same date and time section, and the same train voltage section and existing equipment voltage section, the correction coefficient is set to 1.20, which is the amount of power supply amount of the existing equipment divided by the estimated power supply amount of the existing equipment. At this time, as shown in the first row of the corrected power amount data 13i in the section-corresponding data 13c in Figure 31, for data where the date, time section, and train voltage section are the same as the data for which the correction coefficient was calculated, the estimated power absorption amount "60" is calculated by multiplying the value "50", which is the difference between the power supply amount and the regenerative power amount, by the calculated correction coefficient of 1.20.

[0325] The method by which the power quantity correction unit 127 calculates the corrected power quantity data 13i described above is merely an example and is not limited to this. For example, when calculating the correction coefficient, the correction coefficient may be calculated using multiple data points with the same time interval and voltage interval but different dates, and the corrected power quantity data 13i may be calculated using the average value of the multiple calculated correction coefficients. Furthermore, when deriving the correction coefficient, the power quantity estimate data may be calculated using the regenerated energy reduction amount, or the regenerated energy amount minus the power supply amount, rather than the ideal regenerated energy amount minus the power supply amount.

[0326] Furthermore, the power consumption correction unit 127 may calculate the corrected power consumption data 13i using a model created by machine learning, or it may calculate the corrected power consumption data 13i using artificial intelligence technology such as deep learning.

[0327] Furthermore, when the power consumption correction unit 127 calculates the corrected power consumption data 13i, it may use at least one of the following data in addition to the power consumption data: external equipment power consumption data 13d, priority data 13e, and device operation status simulation results 13f. In addition, the power consumption correction unit 127 may use meteorological statistics when calculating the corrected power consumption data 13i.

[0328] Furthermore, if train running performance data 13a before and after the installation of the existing device 5 is available, a correction coefficient may be calculated based on the power consumption data before and after the installation of the existing device 5, and corrected power consumption data 13i may be calculated based on this correction coefficient. As a method for calculating the correction coefficient based on the power consumption data before and after the installation of the existing device 5, for example, the correction coefficient is calculated by comparing the power consumption data calculated based on the train running performance data 13a before the installation of the existing device 5 with the power consumption data of the existing device after the installation of the existing device 5. The corrected power consumption data 13i is calculated by correcting the power consumption data for the device introduction conditions of the newly installed regenerative power absorption device using the calculated correction coefficient.

[0329] The method for calculating the corrected power consumption data 13i based on power consumption data calculated using train running performance data 13a before and after the installation of the existing device 5 is not limited to these methods. For example, the corrected power consumption data 13i may be calculated by comparing the power consumption data before the installation of the existing device 5 with the power consumption data after the installation of the existing device 5 to calculate a correction coefficient, etc., based on the change in power consumption data due to the installation of the existing device 5, and then calculating the corrected expected power supply amount and the corrected expected power absorption amount based on this correction coefficient, etc., and the power consumption data for the device introduction conditions of the newly installed regenerative power absorption device, thereby calculating the corrected power consumption data 13i.

[0330] <Operation of the display unit> The display unit 14 displays the section and corrected power amount data 13i according to the correspondence relationship indicated by the section correspondence data 13c. The display unit 14 displays the section and corrected power amount data 13i for the condition code corresponding to the device introduction conditions, and by looking at the displayed section and corrected power amount data 13i, a person can confirm the effect of installing the regenerative power absorption device for each of the device introduction conditions of the regenerative power absorption device and determine the appropriate device introduction conditions for the regenerative power absorption device. In addition to the section and corrected power amount data 13i, the display unit 14 may also display the power amount data calculated by the power amount data calculation unit 121.

[0331] <Operation of the Energy Analyzer and Energy Analysis Method> Next, the details of the processing performed by the processing unit 12 of the energy analyzer 1d according to Embodiment 5 and the energy analysis method will be explained using Figure 33. Figure 33 is a flowchart showing the operation of the energy analyzer 1d according to Embodiment 5. The operation shown in Figure 33 is the same as the operation shown in Figure 10, with step S41 added before step S01, step S42 added between step S03 and step S04, and step S04 changed to step S43. Therefore, steps S41, S42, and S43 will be explained below.

[0332] In step S41, the existing equipment operation performance data acquisition unit 12g of the data acquisition unit 120 acquires the existing equipment operation performance data 13g from the storage unit 13. Here, the existing equipment operation performance data acquisition unit 12g may also acquire the existing equipment operation performance data 13g from the communication unit 11.

[0333] Note that the order of steps S41, S01, and S02 is not limited to the order shown in Figure 33, and can be performed in any order. Also, steps S41, S01, and S02 may be performed in parallel.

[0334] In step S03, the power consumption data calculation unit 121 calculates meteorological statistics and power consumption data based on train running performance data 13a, existing equipment operation performance data 13g, and section definition data 13b, and creates section correspondence data 13c that shows the correspondence between sections and power consumption data and the correspondence between sections and meteorological statistics. Here, if meteorological statistics are not used when considering the equipment introduction conditions for the regenerative power absorption device, the power consumption data calculation unit 121 does not need to calculate meteorological statistics.

[0335] Figure 34 is a flowchart showing a detailed example of the procedure for calculating energy consumption data by the energy consumption data calculation unit 121 in step S03 shown in Figure 33. The operation shown in Figure 34 is the same as the operation shown in Figure 11, but with step S102 changed to step S301, step S103 changed to step S302, and steps S303 and S304 added after step S207. Therefore, the following explanation will mainly focus on steps S301, S302, S303, and S304.

[0336] In step S301, the power consumption data calculation unit 121 divides the train running performance data 13a and the existing equipment operation performance data 13g based on the time intervals determined by the time interval definitions included in the interval definition data 13b. Here, the power consumption data calculation unit 121 further divides the train running performance data 13a, which was divided in step S101, based on the time intervals and the times included in the train running performance data 13a, and associates the time intervals corresponding to the times included in the train running performance data 13a. Furthermore, the power consumption data calculation unit 121 further divides the existing equipment operation performance data 13g, which was divided in step S101, based on the time intervals and the times included in the existing equipment operation performance data 13g, and associates the time intervals corresponding to the times included in the existing equipment operation performance data 13g.

[0337] In step S302, the energy data calculation unit 121 divides the train running performance data 13a and the existing equipment operation performance data 13g based on the train voltage section and existing equipment voltage section determined by the train voltage section definition and existing equipment voltage section definition included in the section definition data 13b. Here, the energy data calculation unit 121 further divides the train running performance data 13a, which was divided in step S301, based on the train voltage section and the overhead line voltage included in the train running performance data 13a, and associates the train voltage section corresponding to the overhead line voltage included in the train running performance data 13a. Furthermore, the energy data calculation unit 121 further divides the existing equipment operation performance data 13g, which was divided in step S301, based on the existing equipment voltage section and the voltage included in the existing equipment operation performance data 13g, and associates the existing equipment voltage section corresponding to the voltage included in the existing equipment operation performance data 13g. The method of dividing the train running performance data 13a and the existing equipment operation performance data 13g based on the train voltage section and existing equipment voltage section determined by the section definition data 13b is not limited to these.

[0338] Note that the order of steps S101, S301, and S302 is not limited to the order shown in Figure 34, and can be performed in any order.

[0339] The existing equipment operation performance data 13g, divided in steps S101, S301, and S302, is represented as shown in Figure 30.

[0340] Next, in steps S201 to S207, S303 and S304, the power consumption data calculation unit 121 calculates statistical values ​​for each item included in the power consumption data based on the train running performance data 13a divided in steps S101, S301 and S302, and the existing equipment operation performance data 13g divided in steps S101, S301 and S302.

[0341] The power consumption data calculation unit 121 processes data from steps S201 to S207, S303, and S304 for each data set from the train running performance data 13a divided in steps S101, S301, and S302 where the existing equipment code or condition code, direction, date, time section, and train voltage section all match, for example as shown in the first to third rows of Figure 8. Furthermore, the processing from steps S201 to S207, S303, and S304 is performed for each data set from the existing equipment operation performance data 13g divided in steps S101, S301, and S302 where the existing equipment code, date, time section, and existing equipment voltage section all match, for example as shown in the third to fifth rows of Figure 30.

[0342] In step S303, based on the voltage and current or power included in the operating performance data 13g of the target existing equipment, a statistical quantity related to the amount of power absorbed by the existing equipment 5, is calculated. Here, if only the statistical quantity related to the amount of power supplied by the existing equipment is calculated, the statistical quantity related to the amount of power absorbed by the existing equipment does not need to be calculated. If the statistical quantity related to the amount of power absorbed by the existing equipment is not calculated, the value of the statistical quantity may be set to "0". As a statistical quantity related to the amount of power absorbed by the existing equipment, for example, the amount of power absorbed by the existing equipment is calculated. Note that the statistical quantity related to the amount of power absorbed by the existing equipment is not limited to these.

[0343] In step S304, based on the voltage and current or power included in the operating performance data 13g of the target existing equipment, a statistical quantity related to the amount of power supplied by the existing equipment 5, is calculated. Here, if only the statistical quantity related to the amount of power absorbed by the existing equipment is calculated, the statistical quantity related to the amount of power supplied by the existing equipment does not need to be calculated. If the statistical quantity related to the amount of power supplied by the existing equipment is not calculated, the value of the statistical quantity may be set to "0". As a statistical quantity related to the amount of power supplied by the existing equipment, for example, the amount of power supplied by the existing equipment is calculated. Note that the statistical quantity related to the amount of power supplied by the existing equipment is not limited to these.

[0344] Note that the order of steps S201 to S207, S303, and S304 is not limited to the order shown in Figure 34, and can be performed in any order. Also, steps S201 to S207, S303, and S304 may be performed in parallel.

[0345] Returning to the explanation of Figure 33, in step S42, the power quantity correction unit 127 calculates corrected power quantity data 13i by correcting the power quantity data, and links the correspondence between the section and the corrected power quantity data 13i to the section correspondence data 13c. Various existing technologies can be used as a method for correcting the power quantity data and calculating the corrected power quantity data 13i.

[0346] In step S43, the display unit 14 displays the section, weather statistics, and corrected power consumption data 13i according to the correspondence shown by the section correspondence data 13c. By looking at the section, weather statistics, and corrected power consumption data 13i displayed by the display unit 14, a person can determine the appropriate device installation conditions for the regenerative power absorption device. In addition to the corrected power consumption data 13i, the display unit 14 may also display power consumption data calculated by the power consumption data calculation unit 121.

[0347] <Effects> As described above, the power consumption analyzer 1d according to Embodiment 5 calculates corrected power consumption data 13i based on the difference between the measured power consumption data calculated based on the existing device operation performance data 13g, which shows the current and voltage measured when the existing device 5, a regenerative power absorption device already connected to the overhead line, is in operation, and the estimated power consumption data estimated based on the device introduction conditions and train running performance data 13a related to the existing device 5. The power consumption correction unit 127 links the correspondence between the section and the corrected power consumption data 13i to the section correspondence data. The data acquisition unit 120 acquires the existing device operation performance data 13g, and the display unit 14 displays the section and the corrected power consumption data 13i according to the correspondence between the section and the corrected power consumption data 13i. By looking at the corrected power consumption data 13i calculated in this way, it is possible to more accurately determine the appropriate device introduction conditions for the newly installed regenerative power absorption device, taking into account the difference between the estimated power consumption data and the measured power consumption data.

[0348] While this disclosure describes various exemplary embodiments and examples, the various features, aspects, and functions described in one or more embodiments are not limited to the application of a particular embodiment, but are applicable individually or in various combinations to the embodiments. Accordingly, countless variations not illustrated are envisioned within the scope of the art disclosed in this specification. For example, these include modifying, adding or omitting at least one component, or extracting at least one component and combining it with a component from another embodiment.

[0349] 1, 1a, 1b, 1c, 1d Power consumption analyzer, 2 Train, 3 Data acquisition device, 4 External equipment, 5 Existing equipment, 11, 21, 31, 41, 51 Communication unit, 12 Processing unit, 12a Train running performance data acquisition unit, 12b Section definition data acquisition unit, 12d External equipment power consumption data acquisition unit, 12g Existing equipment operation performance data acquisition unit, 13 Storage unit, 13a Train running performance data, 13b Section definition data, 13c Section correspondence data, 13d External equipment power consumption data, 13e Priority data, 13f Equipment operation status simulation results, 13g Existing equipment operation performance data, 13h Existing equipment section correspondence data, 13i Corrected power consumption data, 14 Display unit, 100, 100a, 100b Power consumption analysis system, 101 Processor, 102 Memory, 103 Display, 104 Input interface, 120 Data acquisition unit, 121 Power consumption data calculation unit, 125 Priority calculation unit, 126 Simulation unit, 127 Power consumption correction unit

Claims

1. An energy analyzer used to determine at least one of the specifications, installation location, and operating parameters of a regenerative power absorption device that absorbs regenerative power generated by the operation of a train and supplies power to an overhead line that supplies power to the train, the analyzer comprising: a data acquisition unit that acquires train operation performance data showing the operation performance of the train and section definition data that defines the section set for the equipment introduction conditions; an energy data calculation unit that calculates energy data, which is a statistical amount of power-related data, for each section based on the train operation performance data and creates section correspondence data showing the correspondence between the section and the energy data; and a display unit that displays the section and the energy data according to the correspondence.

2. The power consumption analyzer according to claim 1, wherein the data acquisition unit acquires section definition data that defines the section relating to the direction of travel and running position of the train and the section relating to the overhead line voltage measured by the train, and the power consumption data calculation unit calculates the power consumption data for each section based on the train running performance data and creates section-corresponding data.

3. The power consumption analysis device according to claim 2, wherein the data acquisition unit acquires section definition data that defines the section relating to the power measured by the train, and the power consumption data calculation unit calculates the power consumption data for each section based on the train running performance data and creates section-corresponding data.

4. The power consumption analyzer according to any one of claims 1 to 3, wherein the data acquisition unit acquires train running performance data including weather-related information regarding the weather conditions during the operation of the train, the power consumption data calculation unit calculates weather statistics, which are statistical quantities of the weather-related information, based on the train running performance data, links the correspondence between the section and the weather statistics to the section correspondence data, and the display unit displays the section and the weather statistics according to the correspondence.

5. The power consumption analyzer according to claim 1, wherein the data acquisition unit acquires external equipment power consumption data, which is information relating to the amount of power consumed by external equipment that consumes power supplied by the regenerative power absorption device, and the display unit displays the external equipment power consumption data.

6. The power consumption analyzer according to claim 1, comprising a priority calculation unit that calculates priority data indicating priority for at least one of the device introduction conditions based on the interval corresponding data, wherein the display unit displays the priority data.

7. The power consumption analyzer according to claim 6, wherein the data acquisition unit acquires external equipment power consumption data, which is information relating to the amount of power consumed by external equipment that consumes power supplied by the regenerative power absorption device; the priority calculation unit calculates the priority data based on the section correspondence data and the external equipment power consumption data; and the display unit displays the priority data.

8. The power analysis device according to claim 1, comprising a power correction unit that calculates corrected power data by correcting the power data based on the difference between measured power data calculated based on existing device operation performance data showing current and voltage measured when the existing device, which is a regenerative power absorption device already connected to the overhead line, is in operation, and estimated power data estimated based on the device introduction conditions and train running performance data relating to the existing device, and links the correspondence between the section and the corrected power data to the section correspondence data, wherein the data acquisition unit acquires the existing device operation performance data, and the display unit displays the section and the corrected power data according to the correspondence relationship.

9. An energy consumption analyzer according to any one of claims 1, 5, and 8, comprising: an input unit for inputting the device installation conditions determined based on the section-corresponding data; and a simulation unit for calculating a device operation status simulation result showing the operating status of the regenerative power absorption device to be installed according to the input device installation conditions, based on the train running performance data and the input device installation conditions, wherein the display unit displays the device operation status simulation result.

10. The power consumption analyzer according to any one of claims 6 and 7, comprising: a condition determination unit that determines the device introduction conditions based on the priority indicated by the priority data; and a simulation unit that calculates a device operation status simulation result showing the operating status of the regenerative power absorption device to be installed according to the determined device introduction conditions, based on the train running performance data and the determined device introduction conditions, wherein the display unit displays the device operation status simulation result.

11. A method for analyzing electrical energy used to determine at least one of the device introduction conditions, which are the specifications, installation location, and operating parameters, of a regenerative power absorption device that performs at least one of the following: absorbing regenerative power generated by the operation of a train and supplying power to an overhead line to which the train is connected, comprising the steps of: acquiring train operation performance data showing the operation performance of the train and section definition data defining the sections set for the device introduction conditions; calculating electrical energy data, which is a statistical amount of data related to electricity, for each section based on the train operation performance data, and creating section correspondence data showing the correspondence between the section and the electrical energy data; and displaying the section and the electrical energy data according to the correspondence.

12. A program used to determine at least one of the device introduction conditions, which are the specifications, installation location, and operating parameters, for a regenerative power absorption device that performs at least one of the following: absorbing regenerative power generated by the operation of a train and supplying power to the overhead line to which the train is connected, the program causing a computer system to execute the following steps: acquiring train operation performance data showing the operation performance of the train and section definition data defining the sections set for the device introduction conditions; calculating power quantity data, which is a statistical amount of power-related data, for each section based on the train operation performance data, and creating section correspondence data showing the correspondence between the section and the power quantity data; and displaying the section and the power quantity data according to the correspondence.

13. An energy consumption analysis system comprising a data collection device for managing the aforementioned train running performance data, and an energy consumption analysis device according to claim 1, having a data acquisition unit for acquiring the aforementioned train running performance data from the data collection device.

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