JP7444805B2 - Data preparation system, data preparation method - Google Patents

Description

The present invention relates to a data preparation system and a data preparation method.

When developing new applications or solutions that combine multiple business systems, it is necessary to prepare basic data so that each business system operates in a consistent and consistent manner. Here, basic data refers to the parameters and setting information necessary for the operation of the business system that predicts and simulates business plans and conditions.Basic data includes, for example, the correspondence table of codes used in the system and the train operation This is data that determines possible paths.

Preparing basic data is a heavy task because it requires not only an understanding of the data specifications of the business system in question, but also knowledge and understanding of the basic functions of the business system in question. Furthermore, in the railway field, since the shape of the track differs depending on the route, it is necessary to prepare basic data for each route even if the business system is the same. Therefore, even people who have no knowledge of railway operation related systems, which are business systems related to railway operation, can easily and quickly develop new applications that combine multiple railway operation related systems. There is a need to reduce the preparation load.

As a prior art for reducing the load of basic data preparation, Patent Document 1 discloses the following technology. The technology described in Patent Document 1 (i.e., a vehicle operation management device) stores an area for storing performance data that records the driving performance of each vehicle, and a prediction calculation constant used for calculations to predict the operation of each vehicle. a calculation unit that extracts the performance data of each vehicle and calculates the analysis value obtained from statistical processing of the performance data, analysis values that are candidates for changing the prediction calculation constant, and from the prediction calculation constant to the analysis value. It is equipped with a graphical user interface that displays a selection means for selecting whether to update or not, and a ``constant table'' that is stored inside the system and used to predict and calculate train arrival and departure times at stations when rescheduling, etc. It can be called up from the train operation management system and can be easily changed. It is believed that the technology described in Patent Document 1 makes it possible to easily set and prepare a constant table for vehicle operation prediction, which is one of the basic data used in railway operation related systems.

Japanese Patent Application Publication No. 2015-231782

However, the basic data targeted by the prior art is only a constant table, which is one of the basic data used in train operation prediction calculations, and most of the basic data necessary for the operation of the main functions and other functions of the system is Not applicable. Therefore, the burden of data preparation on developers remains high, and the development of new applications and solutions that combine multiple railway operation-related systems requires further reduction of the data preparation burden.

In addition, as mentioned above, in the railway field, the track shape differs for each route, so it is difficult to apply the basic data that has been created once to different routes, and even if the system is the same, the basic data for each route Since data preparation is required, a reduction in the data preparation load is required from this perspective as well.

Therefore, an object of the present invention is to provide a data preparation system that can easily and quickly prepare basic data for the operation of a plurality of railway operation business-related systems without contradiction or inconsistency.

According to a first aspect of the invention, the following data preparation system is provided. The data preparation system can generate basic data for use in railway operation business-related systems and distribute the basic data to railway operation business-related systems. The data preparation system includes a processor, a storage device, and a communication unit. The storage device stores, as data, a basic data characteristic definition table that defines characteristics of basic data related to railway operation, and evaluation values of the characteristics. The processor (1) executes a basic data preparation program to generate basic data for simulation input data received by the communication unit. (2) Execute the program execution unit and output a program execution log indicating the processing results of the basic data preparation program. (3) Execute the program execution success rate calculation unit and use the program execution log to calculate the execution success rate that determines the success rate of generating basic data related to railway operation. (4) Execute the basic data characteristic consistency degree calculation unit and use the basic data characteristic definition table and the evaluation value of the above-mentioned characteristics to determine the degree of consistency between the simulation input data and the data related to railway operation. Calculate degree. (5) Possibility that the basic data generated by the basic data preparation program can be used in railway operation business-related systems by executing the applicability calculation unit and using the execution success rate and characteristic consistency degree. Calculate the appropriation possibility. (6) A diversion candidate program that includes information indicating the basic data and/or the basic data preparation program generated by executing the screen output unit and executing the basic data preparation program, and information indicating the possibility of diversion. Display the proposal results on the display screen. (7) Execute the data distribution unit to send the basic data selected in the diversion candidate program proposal results or the basic data generated by the basic data preparation program selected in the diversion candidate program proposal results to the railway operation business related system. Deliver to.

According to a second aspect of the invention, the following data preparation method is provided. The data preparation method is a method of generating basic data to be used in a railway operation business related system using a computer, and distributing the basic data to the railway operation business related system. The data preparation method includes (1) generating basic data for simulation input data by executing a basic data preparation program, (2) outputting a program execution log showing the processing results of the basic data preparation program, and (3) executing the basic data preparation program. Using the execution log, calculate the execution success rate that determines the success rate of generating basic data related to railway operation, and (4) create a basic data characteristic definition table that defines the characteristics of basic data related to railway operation, and evaluate the above characteristics. (5) Using the execution success rate and the characteristic consistency degree, calculate the characteristic consistency degree that determines the degree of consistency between the simulation input data and the data related to railway operation. Calculate the possibility of diversion, which is the possibility that the basic data to be generated can be used in railway operation related systems, and (6) calculate the basic data and/or basic data preparation program generated by executing the basic data preparation program. (7) basic data selected in the diversion candidate program proposal result or in the diversion candidate program proposal result. This is a method of distributing basic data generated by a selected basic data preparation program to railway operation business related systems.

According to the present invention, data preparation is possible that reduces the man-hours involved in preparing basic data for railway operation-related systems and enables easy and rapid study and development of new applications by combining multiple railway operation-related systems. Support systems can be provided.

1 is a diagram showing an example of a system configuration of a data preparation support system. 1 is a diagram showing an example of a hardware configuration of a data preparation support system. FIG. 3 is a diagram showing an example of a data format of simulation input data. It is a figure which shows the data format example of a basic data preparation program list. FIG. 3 is a diagram illustrating an example data format of a program execution log. It is a figure which shows the data format example of a basic data characteristic definition table. FIG. 3 is a diagram for explaining an example of basic data. It is a flowchart for explaining the processing performed by the data preparation support system. FIG. 3 is a diagram illustrating an example of a data format of a program execution success rate calculation result. FIG. 3 is a diagram illustrating an example of a data format of a characteristic consistency degree calculation result. FIG. 7 is a diagram illustrating an example of a data format of a calculation result of appropriability. This is a display example of the basic data preparation program management screen.

An embodiment of the present invention will be described in detail below with reference to the drawings. FIG. 1 is a diagram showing a configuration example of a data preparation support system 100 in this embodiment.

As shown in FIG. 1, the data preparation support system 100 (data preparation system) of this embodiment is communicably connected to an input display terminal 121, which is a user-side terminal having an input/output function. 100 and input display terminal 121 can be configured with, for example, a personal computer. Here, the data preparation support system 100 and the input display terminal 121 are connected via a dedicated network 120, for example.

Further, the data preparation support system 100 is communicably connected to at least one or more railway operation related systems, and in FIG. ,It is connected to the. Here, the data preparation support system 100 and the railway operation business related system are connected via a dedicated network 130, for example. Note that the railway operation business-related system is a system that can predict/simulate, for example, business plans and conditions based on input information and basic data. Here, the basic data is necessary parameters and setting information when using the railway operation business-related system (for example, for business planning and status prediction/simulation).

Before explaining each configuration shown in FIG. 1, first, the hardware configuration of the data preparation support system 100 will be specifically described with reference to FIG. 2. FIG. 2 is a diagram showing an example of the hardware configuration of the data preparation system.

The data preparation support system 100 includes a CPU (central processing unit) 201, an HDD (magnetic disk drive) 202, a memory 203, an input section 204, a display section 205, and a communication section 206. The CPU 201 executes data input/output, reading, storing, and various processes. The HDD 202 is a device that stores programs and data, and the memory 203 is a device that temporarily stores programs and data. The input unit 204 is an input device that accepts operation input from the user. The display unit 205 is an output device that displays data. The communication unit 206 is a device that communicates with the input display terminal 121, which is a user terminal, and transmits and receives data. Further, the communication unit 206 is a device for communicating with a railway operation business related system. Here, each of these devices (201 to 206) can be realized as each configuration of a general computer, as an example.

Each configuration of the data preparation support system 100 described above may be configured by a single computer, or any part of the CPU 201, HDD 202, memory 203, input unit 204, and display unit 205 may be configured via the communication unit 206. It may also consist of other computers connected via a network. Further, in this embodiment, functions equivalent to those configured by software can also be realized by hardware such as FPGA (Field Programmable Gate Array) and ASIC (Application Specific Integrated Circuit).

As shown in FIG. 1, the data preparation support system 100 according to the present embodiment includes, as functional components, a data receiving section 101, a data storage section 103, a program execution section 109, a program execution success rate calculation section 110, The data preparation support system 100 includes a basic data characteristic consistency calculation unit 111, a diversion possibility calculation unit 112, a data distribution unit 113, and a screen output unit 102, and the data preparation support system 100 includes modules related to the above-mentioned functional components. ing.

Here, the data storage unit 103 is realized by, for example, the HDD 202. On the other hand, each part of the data receiving section 101, program execution section 109, program execution success rate calculation section 110, basic data characteristic consistency degree calculation section 111, diversion possibility calculation section 112, data distribution section 113, and screen output section 102 is a program. For example, the CPU 201 executes a program stored in the memory 203 and controls each part (i.e., the program ) is executed.

When the data receiving unit 101 is executed by the CPU 201, simulation input data 104 that is input to the input display terminal 121 and transmitted to the data preparation support system 100 is received by the communication unit 206 and stored in the data storage unit 103. be done.

Here, simulation input data will be explained with reference to FIG. FIG. 3 is a diagram showing an example data format of the simulation input data 104.

In this embodiment, the simulation input data 104 is data related to railway operation. This simulation input data 104 is assumed to be train schedule data indicating a train operation plan, and the simulation input data 104 includes data items such as a train number that uniquely identifies a train, a train stop station, and a train stop at the stop station. The information includes the track number, the arrival time at the stop station, the departure time from the stop station, the destination of the train, and the route of the timetable data (that is, the route on which the train runs).

Note that the simulation input data 104 in FIG. 3 is an example, and the simulation input data 104 may be, for example, the following data. That is, although the simulation input data 104 in FIG. 3 is data that targets only one train (that is, the data stores only the train number 1000), the simulation input data 104 targets multiple trains. The data may be data including a plurality of trains (for example, data targeting a plurality of trains as train number 1000, train number 1001, train number 1002, etc.).

Further, although the simulation input data 104 in FIG. 3 is data that includes only one line (that is, only Line 1 is stored), the simulation input data 104 is data that includes multiple different lines (for example, , Line 1 and Line 2 are stored for train number 1000, and the data determines that the train runs on a plurality of routes).

As shown in FIG. 1, the data storage unit 103 stores, in addition to simulation input data 104 input via the input display terminal 121, a data preparation program list 105, a basic data preparation program storage unit 106, and a program execution log. It includes a storage section 107 and a basic data characteristic definition table 108. Next, these will be explained in detail.

The basic data preparation program list 105 is a list of basic data preparation programs that are registered in advance in the data preparation support system 100 and are executable by the CPU 201. When the CPU 201 executes the basic data preparation programs included in the basic data preparation program list 105, corresponding basic data is generated.

An example of the data format of the basic data preparation program list 105 will be described with reference to FIG. 4. In the example of FIG. 4, three types of basic data preparation programs are stored, and the data items of the basic data preparation program list 105 include a target system and target basic data. Here, the target system indicates the name of the railway business system targeted by the basic data preparation program. Further, the target basic data indicates the name of the basic data to be generated. Therefore, for example, by executing a basic data preparation program where the target system is a train operation system and the target basic data is track basic data, the basic data of the basic track data targeted at the train operation system is created. is generated. Note that basic data preparation programs other than the basic data preparation programs listed in FIG. 4 may be stored in the basic data preparation program list 105.

Although it is not an essential data item in the processing of the data preparation support system 100, in the example of FIG. 4, the basic data preparation program list 105 includes input data dependence as a data item. The input data dependence is data indicating whether or not the basic data is dependent on the simulation input data 104. Therefore, as will be explained in detail later, in the process of executing the basic data preparation program to generate basic data for the simulation input data 104, the execution of the basic data preparation program that is said to have no dependence on the simulation input data 104 is performed. Can be omitted. Note that the input data dependence is appropriately set for each basic data preparation program by the operator handling the data preparation support system 100.

The basic data preparation program storage unit 106 stores basic data preparation programs. That is, the basic data preparation program storage unit 106 stores each basic data preparation program.

The program execution log accumulation unit 107 accumulates a program execution log 1071 generated when the basic data preparation program is executed.

An example of the data format of the program execution log 1071 will be described with reference to FIG. 5. The program execution log 1071 is data indicating the results of executing the basic data preparation program. In the example of FIG. and are included as data items.

Here, the target data indicates the name of the target basic data. In addition, the total number of steps is the number of steps in the basic data preparation program, and the number of steps when the basic data preparation program is executed without error when generating basic data (in other words, the number of steps that make up the basic data preparation program). ). The number of successful execution steps indicates the number of steps in which basic data was successfully generated during basic data generation. The error details indicate error information when execution of the program fails. The error contents include the step number in which the execution error occurred and the execution error contents (that is, the reason for the error).

In the example of FIG. 5, the target data is basic track data, the total number of steps is 20, the number of successfully executed steps is 10, and the error details are shown. That is, this example shows a case where a basic data preparation program whose target basic data is track basic data is executed in the basic data preparation program list 105. It is also shown that the number of steps of this basic data preparation program is 20. It also shows that when the steps of this basic data preparation program were sequentially executed, steps up to 10 were successfully executed, and an error occurred at step 11, as well as the reason for the error.

The basic data characteristic definition table 108 is data that defines characteristics regarding railway operation of basic data generated by executing the basic data preparation program. The basic data characteristic definition table 108 will be explained with reference to FIG.

The basic data characteristic definition table 108 includes target basic data and basic data characteristics as data items. The basic data characteristic definition table 108 also includes characteristic evaluation values (not shown). Here, the target basic data indicates target basic data.

On the other hand, the basic data characteristics define the characteristics related to the railway operation of the basic data, and in this embodiment, the basic data characteristics include track shape dependence and multi-route dependence regarding track shape and whether or not multiple lines are connected. and are included. Note that the contents of the track shape dependence and multi-line dependence are appropriately set by the operator handling the data preparation support system 100, the creator of the basic data preparation program, and the like. For example, an operator or the like can evaluate and set the basic data generated by executing the basic data preparation program.

The track shape dependence defines the dependence of the basic data on the track shape. For example, as shown in FIG. 7, when reference point passing train order data indicating the order of trains passing through a certain reference point on the track is basic data, the basic data indicates whether there is a branch on the track or not. Since it can be generated without consideration, the dependence of the train order data passing the reference point on the track shape is assumed to be "no branching".

On the other hand, as shown in Figure 7, when basic track data is information indicating the track on which a train runs on one route, the basic data needs to be generated taking into account branching of the track. (For example, in the basic track data shown in Figure 7, it is necessary to consider not only cases where trains run on the same track, but also cases where trains run by switching tracks due to branching of the track between stations.) ), in this example, the track shape dependence of the track basic data is set to "with branch" by the operator who evaluated the basic data.

Multi-route dependence defines the dependence of basic data on multiple routes. Here, since the reference point passing train order data is basic data that does not require consideration of route entry, dependence on multiple routes is set to "none". In the example shown in FIG. 7, the basic track data is set to "none" after being evaluated by the operator as basic data that does not require consideration of the route entry.

The characteristic evaluation value is a parameter used in the process of calculating the degree of characteristic consistency, which will be described later, and is appropriately set by the operator for each basic data characteristic. In this embodiment, parameters of 0 and 1 are set for track shape dependence and multi-line dependence, respectively, but different values may be set depending on the type of target basic data.

The screen output unit 102 is used for processing to generate a display screen, and can be used for processing to generate data to be displayed on the input display terminal 121. The data distribution unit 113 is used to distribute basic data generated by executing the basic data preparation program to railway operation business related systems. Note that the basic data may be distributed to a predetermined railway operation business-related system based on information input to the data preparation support system 100.

Next, the program execution unit 109 , the program execution success rate calculation unit 110 , the basic data characteristic consistency calculation unit 111 , the appropriation possibility calculation unit 112 , the screen output unit 102 , and the data distribution unit 113 An example of the process will be described in detail with reference to FIG. 8. FIG. 8 is a flowchart for explaining the processing performed by the data preparation support system.

By executing the program execution unit 109 by the CPU 201, simulation input data 104 stored in the data storage unit 103 is acquired using a processing request received from the input display terminal 121 as a trigger. Then, the basic data preparation program list 105 is referred to, basic data preparation programs whose input data dependence is "yes" are identified, and the basic data preparation programs are sequentially executed to generate the acquired simulation input data 104. (S301).

Then, when each basic data preparation program is executed, the total number of steps and the number of successful execution steps of the program are acquired, the execution results are analyzed, and a program execution log 1071 is generated. Here, if the total number of steps and the number of successfully executed steps do not match, that is, if an error occurs in program processing, information on the step where the error occurred and the error details are acquired, and the error details in the program execution log 1071 are obtained. Information regarding the number of steps in which an error occurred and the details of the error is written in the item. Then, the program execution log 1071 of each executed basic data preparation program is accumulated in the program execution log accumulation section 107 of the data storage section 103.

Next, when the CPU 201 executes the program execution success rate calculation unit 110, the execution success rate, which is the success rate of the execution of the basic data preparation program, is calculated using the program execution log 1071 accumulated in the program execution log accumulation unit 107. It is calculated (S302). In this embodiment, with reference to the program execution log 1071, the value of (number of successful execution steps)÷(total number of steps) is calculated as the execution success rate. For example, when calculating the execution success rate of the basic data preparation program that generates the "track basic data" shown in FIG. )=10÷20=0.5, so the execution success rate of the basic data preparation program is 0.5.

In this manner, the execution success rate of each target basic data preparation program (that is, the executed basic data preparation program) is calculated by the execution of the program execution success rate calculation unit 110. The calculated execution success rate is then accumulated as a program execution success rate calculation result 801, and in this embodiment, as shown in FIG. Then, the program execution success rate calculation result 801 is accumulated. In this embodiment, in the basic data preparation program list 105, the program execution success rate for basic data whose input data dependence is "none" is set to zero (-).

Next, the CPU 201 executes the basic data characteristic consistency calculation unit 111 to calculate the characteristic consistency from the simulation input data 104. Here, the characteristic matching degree is the matching degree between the simulation input data 104 and data related to railway operation. The characteristic consistency degree is calculated for each basic data characteristic item defined in the basic data characteristic table 108 (S303).

When the basic data characteristic consistency calculation unit 111 executes, a process of checking (verifying) the item corresponding to the basic data characteristic defined in the basic data characteristic definition table 108 and the item obtained from the simulation input data 104 is performed. The characteristic matching degree is calculated by comparing the results with the values (characteristic evaluation values) defined in the basic data characteristic definition table 108.

Specifically, in this process, simulation input data 104 (in this embodiment, data related to train operation plans, that is, data related to train schedules) is analyzed, and the shape of the track indicated by simulation input data 104 is analyzed. The characteristic matching degree regarding line shape dependence is calculated using the determination result. Further, entry of a route is determined from the simulation input data 104, and the characteristic consistency degree regarding dependence on multiple routes is calculated using the determination result.

Here, the method of analyzing the simulation input data 104 to determine the line shape is performed, for example, as follows. That is, this method obtains a record for each train using the train number as a key from the simulation input data 104, sorts the obtained records in ascending order of arrival time or departure time, and compares the stops and station arrangement between trains. (In other words, compare the stop stations and station arrangement for data with different train numbers), determine whether there is a branch on the track or not, and obtain the determination result of "branch" or "no branch" .

To explain specifically, for example, when a record of train number 1000 is acquired and sorted in ascending order of arrival time, the stopping stations are arranged in the order of A, B, C, and D. In addition, in the same way, if a record of another train number 1001 (not shown in FIG. 3) different from train number 1000 is obtained and sorted in ascending order of arrival time, the stopping stations are A, B, C, and D'. Suppose that they are arranged in this order. In this case, since it is considered that there is a branch in the track between the stop stations C and D and between the stop stations C and D', a determination result of "branch exists" is obtained.

On the other hand, if the same stop station is included in the data of different train numbers and the order of the stop stations is the same, a determination result of "no branch" is obtained. For example, if train number 1000 stops in the same order as A, B, C, D, and train number 1001 stops in the same order as A, B, C, D, the result is "no branch". is obtained. Further, for example, if the order of stops of train number 1000 is A, B, C, D, and the order of stops of train number 1001 is A, B, C, a determination result of "no branch" is obtained. Ru.

Further, a method of analyzing the simulation input data 104 to determine dependence on multiple routes (that is, presence or absence of service on multiple routes) is executed as follows, for example. In other words, this method determines whether or not there are multiple routes running (in FIG. 6, "Yes" or " (determination result of "No") is obtained.

For example, in the simulation input data 104 of FIG. 3, the only route with train number 1000 is Line 1, so a determination result of "none" is obtained. On the other hand, if a plurality of different lines (for example, Line 1 and Line 2) are included in the record of the same train number, a determination result of "Yes" is obtained.

Then, the above determination result is compared with each target basic data defined in the basic data characteristic definition table 108, and a characteristic consistency degree is calculated for each basic data characteristic. In this embodiment, when the determination result and the basic data characteristic completely match, a characteristic consistency degree of 1 is calculated from the evaluation value of the characteristic in the basic data characteristic definition table 108, and the determination result and the basic data characteristic are partially matched. If they match or do not match, a characteristic matching degree with a value of 0 is calculated.

With reference to FIG. 10, a case will be described in which it is determined through analysis of the simulation input data 104 that there is no track branch in the simulation input data 104, and it is determined that there is no entry into multiple lines. That is, a case will be described in which a determination result of "no branch" is obtained for the track shape, and a determination result of "no branch" is obtained for the connection of multiple lines.

In this case, the determination result of the track shape in the simulation input data 104 is "no branch", and the track shape dependence of the basic track data in the basic data characteristic definition table 108 is "with branch". Since they do not match, the characteristic matching degree regarding the dependence of the line basic data on the line shape is calculated as 0. On the other hand, the determination result of the entry of multiple lines in the simulation input data 104 is "none", and the dependence of the basic track data on multiple lines in the basic data characteristic definition table 108 is "none". Since each is a complete match, the degree of characteristic consistency regarding the dependence of basic track data on multiple routes is calculated as 1.

In this way, the characteristic consistency degree is calculated for each basic data characteristic of the target basic data in the basic data characteristic definition table 108. For example, the characteristic consistency of the basic data characteristics regarding the train sequence data passing through the reference point is ``no branching'' for track shape dependence and ``none'' for multiple route dependence, so the value of the characteristic consistency for track shape dependence is 1. The value of dependence on multiple routes is also 1. Note that basic data whose basic data characteristics are undefined (-) in the basic data characteristic definition table 108 (in the example of FIG. 6, station master data, which is basic data that includes a code that is a station identification symbol and a station name) , the characteristic consistency degree is not calculated.

The calculated characteristic consistency degree is then accumulated as a characteristic consistency degree calculation result 901, and in this embodiment, as shown in FIG. According to the above, characteristic matching degree calculation results 901 are accumulated. Note that basic data whose basic data characteristics are undefined (-) in the basic data characteristic definition table 108 are marked as absent (-).

Next, when the CPU 201 executes the appropriation possibility calculation unit 112, appropriation is possible based on the execution success rate for each basic data preparation program acquired in step S302 and the characteristic consistency degree of the target basic data acquired in step S303. The gender is calculated (S304). Note that the appropriability is calculated for each basic data preparation program that generates the target basic data (that is, for each executed basic data preparation program).

In this embodiment, the appropriation possibility is calculated by {(execution success rate)+(average value of characteristic consistency degrees)}÷2 using the values of the execution success rate and the characteristic consistency degree. Here, the average value of the characteristic consistency degree is a value obtained by summing up the characteristic consistency degrees calculated in step S303 and dividing the sum by the number of basic data characteristic items defined in the basic data characteristic definition table 108. In addition, if the execution success rate value is nil (-) or the characteristic consistency value is nil (-), the appropriation possibility of the corresponding target basic data is not calculated, and the appropriation possibility value is nil ( -). Then, the calculated appropriation possibility is accumulated as the appropriation possibility calculation result 1001, and in this embodiment, as shown in FIG. Accumulated. Note that the appropriation possibility calculation result 1001 may accumulate the average value of the execution success rate and characteristic consistency degree of the program used for calculating the appropriation possibility.

The calculation of appropriability will be described in detail using the program execution success rate value shown in FIG. 9 and the characteristic consistency degree value of basic data shown in FIG. 10. The execution success rate of the reference point passing train sequence data is 0.8. Then, the average value of the characteristic consistency degree of the reference point passing train order data is 1 from (1+1)÷2. Therefore, the possibility of diversion of the train order data passing through the reference point is 0.9 from (0.8+1)÷2. Similarly, the execution success rate of basic line data is 0.5. Then, the average value of the characteristic matching degree of the line basic data is 0.5 from (0+1)÷2. Therefore, the possibility of diversion of basic line data is 0.5 from (0.5+0.5)÷2. Note that for the station master data, since there is no value for execution success rate or characteristic consistency, the possibility of diversion is not calculated, and the possibility of diversion is nil (-).

Next, the CPU 201 executes the screen output unit 102 to generate and output the basic data preparation program management screen 1101 (result of the diversion candidate program proposal) (S305). Note that the basic data preparation program management screen 1101 may be output to the input display terminal 121 or the display unit 205. The layout of the basic data preparation program management screen 1101 will be described with reference to FIG. 12. FIG. 12 is an example of the basic data preparation program management screen 1101.

Through the execution of the screen output unit 102, information regarding the basic data preparation program for which the diversion possibility was calculated in step S304 (corresponding to the item of target basic data in FIG. 12 as an example) and the basic data preparation calculated in step S304. The appropriability value for each program is mapped in a predetermined format and displayed on the screen.

Here, the execution success rate and the average value of the characteristic consistency degree (average consistency degree in FIG. 12) used to calculate the appropriability are also displayed. Further, this screen includes a screen component that allows the simulation input data 104 to be uploaded from the input display terminal 121 via the dedicated network 120, and a screen component that starts the series of processes shown in FIG. This screen also includes screen parts (information for downloading) that enable downloading of the arbitrarily selected basic data preparation program to the input display terminal 121 via the dedicated network 120, and the arbitrarily selected basic data preparation program. It includes a screen component that executes a preparation program to generate corresponding basic data and then enables distribution to a predetermined system via a dedicated network 130. In addition, when downloading the basic data preparation program, it is also possible to download the program execution log 1071 corresponding to the basic data preparation program and the characteristic consistency information used to calculate the average value of characteristic consistency. It is. Note that the download process is realized by the CPU 201 executing an appropriate program.

When a processing request for generation and distribution of basic data is made, the CPU 201 executes the program execution unit 109, executes the selected basic data preparation program, and generates the corresponding basic data. Then, when the CPU 201 executes the data distribution unit 113, the output basic data is distributed to the railway operation business related system. Here, the user or the like can operate the input display terminal 121 or the input unit 204 of the data preparation support system 100 to set the data to be distributed to a predetermined railway operation business-related system.

Note that if an error occurs during execution of the basic data preparation program, it is notified that an error has occurred in the output of the basic data, and the process ends without distributing the basic data. Here, the manner of notification of the error is not particularly limited, but for example, information indicating that an error has occurred may be displayed on the screen of the input display terminal 121 or the display unit 205.

According to this embodiment, in process S301 and process S302, the registered basic data preparation program is executed using the received simulation input data 104, basic data for the simulation input data 104 is generated, and the program execution log 1071 is created. The system uses this to calculate the execution success rate of the basic data preparation program.

In this way, when preparing basic data for a new route or site, by preparing simulation input data 104 that can be used for the route or site, it is possible to determine whether or not a registered program that prepares the basic data can be executed. It becomes possible to analyze the degree of execution and present programs that can be used from registered programs, and as a result, it is possible to support the preparation of basic data for new routes and sites.

According to the present embodiment, in step S303, the received simulation data 104 is used to check the basic data characteristic items defined in the basic data characteristic definition table 108, and the checked results are displayed in the basic data characteristic definition table. The configuration is such that the degree of characteristic consistency is calculated by comparing it with the value defined in 108.

In this way, programs that can be used can be easily identified even if it is difficult to determine from the program source code whether the program is consistent with data related to railway operation, such as the shape of the route or whether or not it runs on multiple routes. This makes it possible to support the preparation of basic data for new routes and sites.

According to the present embodiment, in step S304, the program execution success rate calculated in step S302 and the characteristic consistency degree calculated in step S303 are used to calculate the appropriability of the program.

In this way, not only from the perspective of executing the registered basic data preparation program (in other words, from the perspective of executing the source code), but also by taking into account consistency regarding the shape of the route and whether or not multiple lines are connected, Since the applicability of registered basic data preparation programs is comprehensively evaluated, it is possible to appropriately identify programs that can be used, and compared to the above case, it supports basic data preparation more appropriately. can do. In preparing basic data for new routes and sites, programs that require fewer modifications and improvements (in other words, reusability can be accurately evaluated and appropriability can be properly evaluated) This makes it possible to easily and quickly support the preparation of basic data for new routes and sites.

According to the present embodiment, the program execution success rate, characteristic consistency degree, and reusability calculated in steps S302, S303, and S304 are output on the screen (for example, the screen is displayed in the layout shown in FIG. 12). ) and the selected program can be downloaded. Furthermore, when downloading a program, it is also possible to download the program execution log 1071 corresponding to the program and information on the degree of characteristic consistency used to calculate the average degree of consistency.

In this way, a registered basic data preparation program can be selected and easily downloaded, and at the same time, the program execution log related to the program to be downloaded and information on the characteristic consistency of the basic data can be grasped. Therefore, for example, when developing using a downloaded program, the program execution log and the information on the characteristic consistency degree can be used as effective information for grasping the modified parts. Therefore, prompt preparation of basic data can be supported.

According to this embodiment, the man-hours involved in preparing basic data for railway operation-related systems are reduced, and data that enables easy and rapid consideration and development of new applications by combining multiple railway operation-related systems is provided. A preparation support system 100 can be provided.

Although the embodiments have been described above, the embodiments are not limited to these, and the configuration can be changed as appropriate without departing from the idea or gist of the present invention. For example, although the input display terminal 121 and the data preparation support system 100 are separate systems in this embodiment, they may be one device. In addition, in this embodiment, a dedicated network 120 that communicably connects the data preparation support system 100 and the input display terminal 121, and a communicable connection between the data preparation support system 100 and railway operation related systems (131, 132) are provided. Although an example has been described in which the dedicated network 130 connected to the network is a separate network, it may be a single network.

The basic data preparation program management screen 1101 described above is an example, and the aspect of the display screen (for example, the position of screen components, etc.) may be changed as appropriate. Further, instead of or in addition to the target basic data, information specifying the basic data preparation program that generates the target basic data may be displayed.

A CPU may be considered as an example of a processor, but any other semiconductor device (eg, GPU) may be used as long as it is a main body that executes predetermined processing.

It should be noted that the present invention is not limited to the above-described embodiments as they are, but can be embodied by modifying the constituent elements within the scope of the invention at the implementation stage. Moreover, various inventions can be formed by appropriately combining the plurality of components disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiments.

100 Data preparation support system 101 Data receiving section 102 Screen output section 103 Data storage section 104 Simulation input data 105 Basic data preparation program list 106 Basic data preparation program storage section 107 Program execution log storage section 108 Basic data characteristic definition table 109 Program execution section 110 Program execution success rate calculation unit 111 Basic data characteristic consistency calculation unit 112 Diversion possibility calculation unit 113 Data distribution unit 120 Dedicated network 121 Input display terminal 130 Dedicated network 131 Train operation system 132 Vehicle operation system

Claims (10)

A data preparation system capable of generating basic data used in a railway operation business-related system and distributing the basic data to the railway operation business-related system,
Comprising a processor, a storage device, and a communication section,
The storage device stores, as data, a basic data characteristic definition table that defines characteristics of basic data related to railway operation, and evaluation values of the characteristics,
The processor includes :
executing a basic data preparation program to generate basic data for simulation input data received by the communication unit ;
outputting a program execution log showing the results of the processing of the basic data preparation program ;
Using the program execution log, calculating an execution success rate that determines the success rate of generating basic data regarding railway operation ;
Using the basic data characteristic definition table and the evaluation value of the characteristic, calculate a characteristic consistency degree that determines the degree of consistency between the simulation input data and data related to railway operation ,
Using the execution success rate and the characteristic consistency degree, calculate the possibility of diversion, which is the possibility that the basic data generated by the basic data preparation program can be diverted to the railway operation business related system. ,
Displaying a diversion candidate program proposal result on a display screen, including basic data generated by executing the basic data preparation program and/or information indicating the basic data preparation program, and information indicating the diversion possibility. ,
distributing basic data generated by the basic data preparation program selected in the diversion candidate program proposal result to the railway operation business related system;
A data preparation system characterized by: The data preparation system according to claim 1, comprising:
The simulation input data is
This is data related to train operation plans.
The processor includes :
collating information on the item of characteristics defined in the basic data characteristic definition table with information on the item obtained from the simulation input data;
Calculating the characteristic consistency degree based on the comparison result and the evaluation value of the characteristic;
A data preparation system characterized by: 3. The data preparation system according to claim 2,
The simulation input data is
A table that includes a train number that identifies a train, the station where the train stops, and the time of arrival at or departure from the station,
The processor includes :
Using the train number as a key, obtain a plurality of records corresponding to the train number from the simulation input data,
Sort the obtained records in ascending or descending order by arrival time or departure time,
Compare the stop stations and station arrangement with the data with different train numbers, and determine whether there is a branch of the track.
Calculating the characteristic consistency degree regarding the line shape using the result of the above determination;
A data preparation system characterized by: 4. The data preparation system according to claim 3,
The simulation input data is
A table containing routes on which trains run,
The processor includes :
Determining whether or not a route is entered based on whether different routes are included in the plurality of records with the same train number,
Using the result of the above-described determination, calculate the degree of characteristic consistency regarding the presence or absence of the route.
A data preparation system characterized by: 5. The data preparation system according to claim 4,
The processor includes :
By dividing the calculated sum of the characteristic consistency degrees by the number of characteristic items defined in the basic data characteristic definition table, an average value of characteristic consistency degrees, which is an average value of the characteristic consistency degrees, is calculated;
Furthermore, the possibility of diversion of the basic data preparation program is calculated by {(said execution success rate) + (said characteristic consistency degree average value)}÷2;
A data preparation system characterized by: The data preparation system according to claim 1, comprising:
The basic data characteristic definition table is
The characteristics of the basic data regarding railway operation include the route shape and whether or not multiple routes are used, and the data items include at least an information item indicating the route shape of the basic data generated by executing the basic data preparation program; Contains information items indicating whether or not the train is connected to multiple lines.
A data preparation system characterized by: The data preparation system according to claim 1, comprising:
The program execution log is
An information item indicating the name of the basic data, an information item indicating the total number of steps of the basic data preparation program used to generate the basic data, and an information item indicating the number of steps successfully executed in the basic data preparation program. , an information item indicating error details during execution of the basic data preparation program,
A data preparation system characterized by: The data preparation system according to claim 1, comprising:
The processor includes :
Displaying the diversion candidate program proposal result on a display screen, including a basic data preparation program that generates basic data, and an execution success rate, characteristic consistency degree, and diversion possibility regarding the basic data preparation program;
The processor includes :
A screen displaying information for downloading a basic data preparation program selected in the diversion candidate program proposal result, a program execution log related to the basic data preparation program, and information on a characteristic consistency degree related to the basic data preparation program. to be displayed,
A data preparation system characterized by: A data preparation method for generating basic data to be used in a railway operation business-related system using a computer, and distributing the basic data to the railway operation business-related system, the method comprising :
By running the basic data preparation program, basic data for the simulation input data is generated ,
outputting a program execution log showing the results of the processing of the basic data preparation program ;
Using the program execution log, calculate the execution success rate that determines the success rate of generating basic data related to railway operation ,
A characteristic consistency degree that determines the degree of consistency between the simulation input data and data related to railway operation is calculated using a basic data characteristic definition table that defines the characteristics of basic data related to railway operation and the evaluation value of the above-mentioned characteristics. death ,
Using the execution success rate and the characteristic consistency degree, calculate the possibility of diversion, which is the possibility that the basic data generated by the basic data preparation program can be diverted to the railway operation business related system. ,
Displaying a diversion candidate program proposal result on a display screen, including basic data generated by executing the basic data preparation program and/or information indicating the basic data preparation program, and information indicating the diversion possibility. ,
distributing basic data generated by the basic data preparation program selected in the diversion candidate program proposal result to the railway operation business related system;
A data preparation method characterized by: A data preparation system that allows a terminal to download a basic data preparation program used for generating basic data used in a railway operation related system,
Comprising a processor, a storage device, and a communication section,
The storage device stores, as data, a basic data characteristic definition table that defines characteristics of basic data related to railway operation, and evaluation values of the characteristics,
The processor includes:
executing a basic data preparation program to generate basic data for simulation input data received by the communication unit;
outputting a program execution log showing the results of the processing of the basic data preparation program;
Using the program execution log, calculating an execution success rate that determines the success rate of generating basic data regarding railway operation;
Using the basic data characteristic definition table and the evaluation value of the characteristic, calculate a characteristic consistency degree that determines the degree of consistency between the simulation input data and data related to railway operation,
Using the execution success rate and the characteristic consistency degree, calculate the possibility of diversion, which is the possibility that the basic data generated by the basic data preparation program can be diverted to the railway operation business related system,
displaying on a display screen a diversion candidate program proposal result that includes basic data generated by executing the basic data preparation program and/or information indicating the basic data preparation program, and information indicating the possibility of diversion;
downloading the basic data preparation program selected in the diversion candidate program proposal result to the terminal;
A data preparation system characterized by:

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