JP7535982B2 - Inspection and repair management system, inspection and repair management method, and inspection and repair management program - Google Patents

Description

This disclosure relates to an inspection and repair management system, an inspection and repair management method, and an inspection and repair management program that support the inspection of railway vehicles.

Traditionally, railway company maintenance personnel regularly inspect railway vehicles and repair or replace any defects found to prevent malfunctions from occurring while the railway vehicle is in operation. In recent years, as railway vehicles have become more powerful, the number of inspection items has tended to increase, and the inspection time required for maintenance personnel to carry out all of the inspection items has become longer.

Therefore, Patent Document 1 discloses an inspection technique that calculates the stress while a railway vehicle is running based on the acceleration detected by an acceleration sensor, and monitors the inspection points based on the analysis results of the stress while the vehicle is running over time.

JP 2018-155517 A

When a maintenance person inspects a railway vehicle, the person performs the inspection according to the inspection items written on the inspection slip. However, with the above-mentioned conventional technology, although it is possible to monitor the inspection points, no consideration is given to the inspection slip. As a result, when the maintenance person performs the inspection according to the inspection slip, there is a problem in that he or she is unable to determine whether or not an item does not require inspection, and ends up inspecting items that do not require inspection.

The present disclosure has been made in consideration of the above, and aims to provide an inspection and repair management system that can create inspection forms that reflect the inspection items required for railway vehicle inspections.

In order to solve the above-mentioned problems and achieve the objectives, the inspection and repair management system disclosed herein includes a data acquisition unit, a determination result output unit, an inspection slip creation unit, and an inspection slip output unit. The data acquisition unit acquires measurement data indicating the appearance state measured by a measuring device that measures the appearance state of components that are elements that make up a railroad vehicle. The determination result output unit outputs an inspection necessity determination result indicating the result of a determination on the necessity of inspection of the components based on the measurement data acquired by the data acquisition unit. The inspection slip creation unit creates an inspection slip to be used when inspecting the railroad vehicle based on the inspection necessity determination result output by the determination result output unit. The inspection slip output unit outputs the inspection slip created by the inspection slip creation unit.

According to the present disclosure, the inspection and repair management system has the effect of being able to create inspection forms that reflect the inspection items required for railway vehicle inspections.

FIG. 1 is a diagram showing a configuration example of an inspection and repair management system according to a first embodiment; FIG. 1 is a diagram showing an example of a measuring device in an inspection and repair management system according to a first embodiment; FIG. 1 is a diagram illustrating an example of a configuration of a data collection server according to a first embodiment. FIG. 13 is a diagram illustrating an example of a display screen including presentation data displayed on a management terminal according to the first embodiment; FIG. 1 is a diagram showing an example of a change in measurement data predicted by a determination unit of a data collection server according to a first embodiment; FIG. 1 is a diagram illustrating an example of a configuration of a management server according to a first embodiment. FIG. 1 is a diagram showing an example of an inspection form created by an inspection form creation unit of a management server according to the first embodiment; 1 is a flowchart showing an example of processing by a processing unit of a data collection server according to a first embodiment; 1 is a flowchart showing an example of processing by a processing unit of a management server according to a first embodiment; FIG. 1 is a diagram illustrating an example of a hardware configuration of a processing unit according to a first embodiment.

The inspection and repair management system, inspection and repair management method, and inspection and repair management program according to the embodiments of the present disclosure are described in detail below with reference to the drawings.

Embodiment 1.
1 is a diagram showing a configuration example of an inspection and repair management system according to embodiment 1. The inspection and repair management system 100 includes a measuring device 1, an acquisition device 2, a data collection server 3, a management server 4, a management terminal 5, and an inspection terminal 6, and supports the inspection of a railway vehicle 7.

Each of the data collection server 3 and the management server 4 is, for example, a cloud server. A cloud server is a server built in a cloud environment that includes computer resources provided in a cloud service platform. Note that each of the data collection server 3 and the management server 4 may be a server other than a cloud server.

Each of the management terminal 5 and the inspection terminal 6 is, for example, an electronic device such as a notebook PC (Personal Computer), a tablet PC, or a smartphone, but is not limited to such examples. For example, the inspection terminal 6 may be a writable electronic paper, etc.

The measuring device 1 is installed, for example, in a rail depot or at the entrance to a rail depot on a main line, and measures the external appearance of the components that make up the rail car 7 from outside the rail car 7. A rail depot is a facility where rail cars 7 are stored, maintained, or assembled.

Figure 2 is a diagram showing an example of a measuring device in the inspection and repair management system according to the first embodiment. The measuring device 1 shown in Figure 2 is formed in a gate shape surrounding the track on which the railway vehicle 7 runs, and measures the external condition of the components of the railway vehicle 7 passing through the measurement area. Note that the measuring device 1 is not limited to the example shown in Figure 2.

The components whose external appearance is measured by the measuring device 1 include, for example, wheels, pantographs, brake pads, axles, and vehicle bodies. For example, the measuring device 1 measures the external appearance of the wheels, such as the thickness of the tire on the wheel, the thickness of the wheel flange, the height of the wheel flange, or the wheel flange angle.

The measuring device 1 also measures, for example, the thickness of the contact strip as the external appearance of the pantograph, and the thickness of the brake pad as the external appearance of the brake pad. The measuring device 1 also measures, for example, scratches on the vehicle body, cracks on the vehicle body, dirt on the vehicle body, etc. as the external appearance of the vehicle body.

The measuring device 1 is connected to the acquiring device 2 so as to be able to communicate with it via wired or wireless communication, and transmits measurement data to the acquiring device 2 via wired or wireless communication. The measurement data is data that indicates the external state of the components of the railway vehicle 7. For example, the measurement data is data that indicates the thickness of the wheel tires, data that indicates the thickness of the wheel flanges, data that indicates the height of the wheel flanges, data that indicates the wheel flange angle, data that indicates the thickness of the contact strips, or data that indicates the thickness of the brake pads.

The acquisition device 2 acquires measurement data indicating the external state of the components of the railway vehicle 7 from the measurement device 1 via wired or wireless communication, and outputs the acquired measurement data to the data collection server 3.

The data collection server 3 outputs an inspection necessity determination result based on the measurement data acquired from the acquisition device 2. The inspection necessity determination result is a determination result as to whether an inspection of the components of the railway vehicle 7 by a maintenance technician is necessary or can be omitted at the next inspection of the railway vehicle 7. The inspection necessity determination result includes inspection necessity result data for each inspection item that indicates whether inspection of the inspection item for the components of the railway vehicle 7 is necessary or not. For example, one or more inspection items are set for each component of the railway vehicle 7.

The data collection server 3 outputs, for example, a judgment result indicating the inspection items that require inspection by a maintenance technician at the next inspection of the railway vehicle 7 and the inspection items that can be omitted by the maintenance technician as an inspection necessity judgment result.

An inspection item for which inspection by a maintenance person can be omitted at the next inspection of the railway vehicle 7 is an inspection item for which the measurement data of the measuring device 1 or the measurement data predicted from the measurement data of the measuring device 1 can be substituted as the inspection result by a maintenance person at the next inspection of the railway vehicle 7. Hereinafter, data that can be substituted as the inspection result by a maintenance person at the next inspection of the railway vehicle 7 may be referred to as substitute data.

The measurement data predicted from the measurement data of the measuring device 1 is the measurement data that would be obtained by the measuring device 1 if it were assumed that the measuring device 1 would measure at the time of the next inspection. For example, if the period from the measurement date and time of the measurement data by the measuring device 1 to the next inspection date and time of the railway vehicle 7 is within a preset period, the data collection server 3 can use the measurement data of the measuring device 1 as substitute data, and if not, can use the measurement data predicted from the measurement data of the measuring device 1 as substitute data.

Whether or not an inspection item requires inspection by a maintenance technician is determined by the inspection manager or the data collection server 3. For example, the data collection server 3 transmits the measurement data acquired from the acquisition device 2 to the management terminal 5 via the network 8, and presents the measurement data acquired from the acquisition device 2 to the inspection manager by displaying the measurement data on the management terminal 5.

In this case, the inspection and repair manager checks the measurement data displayed on the management terminal 5 and determines whether there are any inspection items that require inspection by a maintenance person at the next inspection of the railway vehicle 7. The management terminal 5 receives the determination result of whether or not there are any inspection items that require inspection by a maintenance person at the next inspection of the railway vehicle 7 from the inspection and repair manager, and transmits the received determination result to the data collection server 3 via the network 8. The network 8 includes, for example, a WAN (Wide Area Network) such as the Internet and a mobile communication network, but is not limited to such examples. Note that the inspection and repair manager is an administrator who manages the maintenance of the railway vehicle 7, but may also be a maintenance person in charge of the maintenance of the railway vehicle 7.

The data collection server 3 can also determine, based on the measurement data collected from the measuring device 1, whether or not there are any inspection items that require inspection by a maintenance technician for the components corresponding to the measurement data at the next inspection of the railway vehicle 7. The data collection server 3 can also determine, for example, using a trained model generated by machine learning, whether or not there are any inspection items that require inspection by a maintenance technician for the components corresponding to the measurement data at the next inspection of the railway vehicle 7.

Based on the inspection necessity result data acquired from the data collection server 3, the management server 4 creates an inspection form to be used at the next inspection of the railway vehicle 7, which reflects whether inspection is necessary or optional for each inspection item at the next inspection of the railway vehicle 7. On such an inspection form, the inspection items that require inspection at the next inspection of the railway vehicle 7 and the inspection items that can be omitted are clearly indicated, and further, the column for the inspection items that can be omitted clearly indicates the measurement data of the measuring device 1 or the measurement data predicted from the measurement data of the measuring device 1.

The management server 4 outputs the inspection ticket created based on the result of the inspection necessity determination to the inspection terminal 6 as the inspection ticket to be used at the next inspection of the railway vehicle 7. For example, the management server 4 outputs inspection ticket data that is data that can display the inspection ticket on the inspection terminal 6. Note that the management server 4 can also output the inspection ticket by printing it on paper or the like. The output of the inspection ticket by the management server 4 is performed before the start of the next inspection of the railway vehicle 7.

The inspection terminal 6 acquires the inspection form data output from the management server 4 via the network 8, and displays the inspection form based on the acquired inspection form data. Such an inspection form clearly indicates the inspection items that require inspection at the next inspection of the railway vehicle 7 and the inspection items that can be omitted. This allows the maintenance personnel in charge of inspecting the railway vehicle 7 to easily understand whether the inspection items of the components corresponding to the measurement data require inspection at the next inspection of the railway vehicle 7 or can be omitted.

In addition, the column for optional inspection items on the inspection form indicates the measurement data of the measuring device 1 or the measurement data predicted from the measurement data of the measuring device 1. This saves the maintenance staff the trouble of adding the inspection results of optional inspection items for the inspection items of the components corresponding to the measurement data to the inspection form.

The maintenance staff checks the inspection slip displayed on the inspection terminal 6 and inspects the inspection items that require inspection. After inspecting the inspection items that require inspection, the maintenance staff operates the inspection terminal 6 to add the inspection results for the inspection items that require inspection to the inspection slip.

The data collection server 3 can also output to the management server 4 the determination result of the inspection necessity stage, which indicates the urgency of the inspection, for the inspection items that require inspection. In this case, the management server 4 obtains from the data collection server 3 the determination result indicating the inspection necessity stage, which indicates the urgency of the inspection, for the inspection items that require inspection. The management server 4 creates an inspection form that reflects the inspection necessity stage, and outputs the inspection form that reflects the inspection necessity stage. This allows the maintenance staff to easily know which inspection items should be given priority among the inspection items that require inspection.

The configurations of the data collection server 3 and the management server 4 are described in more detail below. FIG. 3 is a diagram showing an example of the configuration of the data collection server according to the first embodiment. As shown in FIG. 3, the data collection server 3 includes a communication unit 30, a storage unit 31, and a processing unit 32.

The communication unit 30 is connected to the network 8 and communicates with the acquisition device 2, the management server 4, and the management terminal 5 via the network 8. The storage unit 31 stores data acquired by the processing unit 32 via the communication unit 30.

The processing unit 32 includes a data acquisition unit 33, a presentation unit 34, a reception unit 35, a judgment unit 36, and a judgment result output unit 37. The data acquisition unit 33 acquires the measurement data acquired by the acquisition device 2 from the acquisition device 2 via the network 8.

The presentation unit 34 outputs presentation data including the measurement data acquired by the data acquisition unit 33 other than the measurement data to be determined by the determination unit 36 to the management terminal 5 via the network 8. The management terminal 5 acquires the presentation data sent from the presentation unit 34 via the network 8, and displays a display screen including the acquired presentation data.

Figure 4 is a diagram showing an example of a display screen including the presented data displayed on the management terminal according to the first embodiment. The display screen 50 shown in Figure 4 includes a graph 51 showing the progress of the measurement data and the range in which the measurement data can be omitted from inspection, an OK button 52, an NG button 53, and an inspection necessary stage input box 54. In Figure 4, the vertical axis of the graph 51 indicates the value of the measurement data, and the horizontal axis of the graph 51 indicates the date and time when the measurement data was obtained.

In the example shown in Figure 4, the range outside the range where inspection can be omitted is shown hatched in graph 51, but the method of displaying the range outside the range where inspection can be omitted is not limited to this example. The range where inspection can be omitted shown in graph 51 is the range where it is determined that inspection by maintenance personnel can be omitted, for example, a range with a lower limit of 80% of the maximum value. Such a range where inspection can be omitted can be set for each component and for each railway operator.

In the example shown in FIG. 4, graph 51 shows measurement data indicating the thickness of the contact strip in the pantograph of railway vehicle 7, and the range in which inspection can be omitted is a range of 20 millimeters or more. Graph 51 may further display a normal range or abnormal range of the measurement data. The presented data is displayed on management terminal 5 for each measurement data, but is not limited to this example, and multiple measurement data may be displayed on management terminal 5 at once.

By checking the measurement data in the graph 51 displayed on the management terminal 5, the inspection and repair manager can determine whether inspection of the component inspection items corresponding to the measurement data is necessary or can be omitted during the next inspection of the railway vehicle 7.

In addition, if the inspection and repair manager determines that the inspection item does not require inspection at the next inspection of the railway vehicle 7, that is, if the inspection and repair manager determines that the inspection can be omitted using substitute data, the inspection and repair manager operates the management terminal 5 to press the OK button 52. As a result, data indicating the inspection item that does not require inspection at the next inspection of the railway vehicle 7 is transmitted as inspection necessity result data from the management terminal 5 to the data collection server 3 via the network 8.

When the inspection and repair manager determines that an inspection item requires inspection at the next inspection of the railway vehicle 7, he or she operates the management terminal 5 to press the NG button 53. As a result, data indicating the inspection item that requires inspection at the next inspection of the railway vehicle 7 is transmitted as inspection necessity result data from the management terminal 5 to the data collection server 3 via the network 8.

In addition, when the measurement data is outside the range where inspection can be omitted, the inspection and repair manager raises the inspection requirement stage, i.e., the inspection priority for the inspection item, the further the measurement data is from the range where inspection can be omitted. Specifically, the inspection and repair manager can input the inspection requirement stage into the inspection requirement stage input box 54 by operating the management terminal 5. When the OK button 52 or NG button 53 is pressed, the data entered into the inspection requirement stage is transmitted from the management terminal 5 to the data collection server 3 via the network 8 as inspection requirement stage data together with the inspection requirement result data.

In addition, when the normal or abnormal range of the measurement data is displayed on graph 51, the inspection and repair manager can accurately determine the inspection priority by raising the inspection requirement stage, i.e., the inspection priority, the closer the data is to being outside the normal range or the closer it is to being within the abnormal range.

The presentation unit 34 can narrow the range in which inspection can be omitted the longer the period from the date and time of measurement of the measurement data by the measuring device 1 to the date and time of the next inspection of the railway vehicle 7. This allows the inspection and repair manager to accurately determine whether or not inspection is necessary at the next inspection of the railway vehicle 7. The presentation unit 34 can also narrow the range in which inspection can be omitted the longer the operating time from the date and time of measurement of the measurement data by the measuring device 1 to the date and time of the next inspection of the railway vehicle 7.

The reception unit 35 receives the judgment data transmitted from the management terminal 5 via the network 8. If the data collection server 3 is not a cloud server and the presentation unit 34 includes a display device, the presentation unit 34 can also present the measurement data to the inspection and repair manager on the display device of the presentation unit 34.

The determination unit 36 uses a trained model generated by machine learning to determine whether or not there are any inspection items that require inspection by a maintenance technician at the next inspection of the railway vehicle 7 for components corresponding to measurement data that is not presented by the presentation unit 34.

The trained model is, for example, a computational model that outputs a score indicating whether inspection is necessary or can be omitted at the next inspection of the railway vehicle 7 based on the progress of the measurement data. The determination unit 36, for example, inputs the measurement data acquired by the data acquisition unit 33 into the trained model, and when the score output from the trained model is equal to or greater than a threshold value, determines that the inspection by the maintenance technician is an inspection item that can be omitted at the next inspection of the railway vehicle 7.

In addition, if the determination unit 36 determines that an inspection item requires inspection by a maintenance technician at the next inspection of the railway vehicle 7, the higher the score output from the trained model, the higher the inspection priority of the inspection item.

The trained model is, for example, a neural network, but may also be a computational model generated by a learning algorithm such as linear regression or logistic regression. For example, the trained model is generated using, as training data, a data set of trends in past measurement data and correct answer data indicating whether inspection is necessary or optional at the next inspection of the railway vehicle 7. The trained model is generated, for example, for each piece of measurement data that is not presented by the presentation unit 34.

The trained model may be, for example, a computational model that predicts the measurement data obtained by the measuring device 1 at the next inspection of the railway vehicle 7 from the past trends of the measurement data. In this case, the determination unit 36 inputs, for example, the measurement data acquired by the data acquisition unit 33 into the trained model. Then, if the measurement data output from the trained model is within a range where inspection can be omitted, the determination unit 36 determines that the inspection item is one for which inspection by a maintenance technician can be omitted at the next inspection of the railway vehicle 7, and if not, determines that the inspection item requires inspection by a maintenance technician at the next inspection of the railway vehicle 7.

In addition, for an inspection item that is determined to require inspection by a maintenance technician, the determination unit 36 raises the inspection requirement stage, i.e., the inspection priority, the further the measurement data output from the trained model falls outside the range in which inspection can be omitted.

Figure 5 is a diagram showing an example of changes in measurement data predicted by the judgment unit of the data collection server in embodiment 1. In the graph shown in Figure 5, past trends in the measurement data are shown by solid lines, and changes in the measurement data predicted by the judgment unit 36 are shown by dashed lines. The graph shown in Figure 5 shows changes in measurement data indicating the thickness of the slider in the pantograph of the railway vehicle 7 measured by the measuring device 1 and predicted data, which is measurement data predicted by the judgment unit 36.

In the example shown in FIG. 5, for example, if the next inspection date for railway vehicle 7 is June 1, 2021, the measurement data predicted by determination unit 36 for June 1, 2021 is within the range in which inspection can be omitted, and therefore determination unit 36 determines that the inspection item for inspecting the thickness of the contact strip in the pantograph can be omitted at the next inspection of railway vehicle 7.

In addition, when the next inspection date of the railway vehicle 7 is June 8, 2021, the judgment unit 36 judges that the inspection item inspecting the thickness of the contact strip in the pantograph needs to be inspected at the next inspection of the railway vehicle 7 because the predicted measurement data for June 8, 2021 is outside the range in which the inspection can be omitted.

The determination unit 36 also determines the inspection necessity stage based on how much the predicted measurement data for June 8, 2021 deviates from the lower limit of the range in which inspection can be omitted. In the example shown in FIG. 5, the measurement data predicted by the determination unit 36 for June 8, 2021 deviates slightly from the lower limit of the range in which inspection can be omitted, so an inspection necessity stage with a lower inspection priority is set.

The judgment result output unit 37 shown in FIG. 3 outputs the inspection necessity result data and inspection necessity stage data received from the inspection and repair manager by the reception unit 35 to the management server 4 via the network 8. In this case, the judgment result output unit 37 outputs the measurement data acquired by the data acquisition unit 33 together with the inspection necessity result data and the inspection necessity stage data to the management server 4 via the network 8.

The judgment result output unit 37 also outputs, for each test item, test necessity result data indicating the necessity of testing for the test item judged by the judgment unit 36 and test necessity stage data indicating the test necessity stage judged by the judgment unit 36 to the management server 4 via the network 8.

In this case, the determination result output unit 37 determines whether the remaining period, which is the period from the measurement date and time of the measurement data by the measuring device 1 to the next inspection date and time of the railway vehicle 7, is within a preset set period. If the remaining period is within the set period, the determination result output unit 37 outputs the measurement data acquired by the data acquisition unit 33 together with the inspection necessity result data and the inspection necessity stage data to the management server 4 via the network 8.

If the remaining period is not within the set period, the judgment result output unit 37 outputs the predicted data predicted by the judgment unit 36 from the measurement data acquired by the data acquisition unit 33 together with the inspection necessity result data and the inspection necessary stage data to the management server 4 via the network 8. The above-mentioned set period can be changed for each inspection item. Instead of the period from the measurement date and time of the measurement data by the measuring device 1 to the next inspection date and time of the railway vehicle 7, the remaining period may be the operating time of the railway vehicle 7 from the measurement date and time of the measurement data by the measuring device 1 to the next inspection date and time of the railway vehicle 7.

The data collection server 3 can also determine the necessity of inspection and the stage at which inspection is required for all inspection items for which the necessity of inspection is determined based on the measurement data, using the determination unit 36. The data collection server 3 can also receive, via the reception unit 35, the necessity of inspection and the stage at which inspection is required from the inspection and repair manager for all inspection items for which the necessity of inspection is determined based on the measurement data.

The judgment result output unit 37 can also output inspection necessity result data indicating the necessity of inspection to the management server 4 only for inspection items for which the necessity of inspection determined by the judgment unit 36 coincides with the necessity of inspection determined by the inspection and repair manager.

The judgment result output unit 37 can also output inspection requirement stage data indicating the inspection requirement stage to the management server 4 only for inspection items where the inspection requirement stage determined by the judgment unit 36 matches the inspection requirement stage determined by the inspection and repair manager.

Next, the management server 4 will be described. FIG. 6 is a diagram showing an example of the configuration of the management server according to the first embodiment. As shown in FIG. 6, the management server 4 includes a communication unit 40, a storage unit 41, and a processing unit 42.

The communication unit 40 is connected to the network 8 and communicates with the data collection server 3 and each of the test terminals 6 via the network 8. The storage unit 41 stores data acquired by the processing unit 42 via the communication unit 40.

The processing unit 42 includes an acquisition unit 43, an inspection form creation unit 44, and an inspection form output unit 45. The acquisition unit 43 acquires inspection necessity result data and inspection necessary stage data output from the data collection server 3. The acquisition unit 43 also acquires measurement data or prediction data output from the data collection server 3. The data collection server 3 and the management server 4 can transmit and receive data via, for example, a dedicated line or network 8 (not shown).

The inspection slip creation unit 44 creates an inspection slip to be used when inspecting the next railway vehicle 7, based on the inspection necessity result data and inspection necessary stage data output by the judgment result output unit 37 and acquired by the acquisition unit 43. When creating the inspection slip, the inspection slip creation unit 44 includes, for inspection items for which the inspection of the next railway vehicle 7 can be omitted, the measurement values indicated by the measurement data acquired by the acquisition unit 43 or the measurement values indicated by the predicted data, in the inspection slip.

The inspection form output unit 45 outputs the inspection form created by the inspection form creation unit 44. For example, the inspection form output unit 45 outputs data of the inspection form created by the inspection form creation unit 44 to the inspection terminal 6 via the network 8. Note that the inspection form output unit 45 can also output the inspection form by printing it on paper or the like.

The inspection terminal 6 acquires the inspection form data output from the management server 4 via the network 8, and displays the inspection form created by the inspection form creation unit 44 based on the acquired inspection form data. The maintenance staff checks the inspection form displayed on the inspection terminal 6 and performs inspections for inspection items that require inspection. The maintenance staff operates the inspection terminal 6 to add the inspection results for the inspection items that require inspection to the inspection form.

Figure 7 is a diagram showing an example of an inspection form created by the inspection form creation unit of the management server according to the first embodiment. In the example shown in Figure 7, a portion of an inspection form created by the inspection form creation unit 44 of the management server 4 is shown. As shown in Figure 7, the inspection form includes columns for "No.", "Inspection target", "Inspection item", "Value", "Unit", "Judgment", "Previous value", "Upper limit value", "Lower limit value", "Memo", and "Inspection required stage".

"No." is information indicating a unique number for each test item, "Test subject" is information indicating the test subject, "Test item" is information indicating the test item, and "Value" is the measurement value indicated by the measurement data acquired from the measuring device 1 or the measurement data predicted by the data collection server 3. "Unit" is information indicating the unit of the measurement value, and "Judgment" is information indicating the test judgment result, for example, OK or NG is input.

"Previous value" is the measurement value from the previous test, and in the case of a test item for which the test can be omitted, it is the measurement value indicated by the measurement data acquired from the measuring device 1 or the measurement value indicated by the measurement data predicted by the data collection server 3. "Upper limit" is information indicating the upper limit of the measurement value, and "lower limit" is information indicating the lower limit of the measurement value.

"Memo" is information set by the management server 4 or the maintenance staff, and in the example shown in FIG. 7, for an examination item for which the examination can be omitted, the text information "Examination can be omitted" is included. "Examination requirement stage" is information indicating the examination requirement stage, which indicates the examination priority for an examination item that requires examination. In the example shown in FIG. 7, the smaller the value of the examination requirement stage, the higher the examination priority, but the larger the value of the examination requirement stage, the higher the examination priority may also be. Note that the examination form is not limited to the example shown in FIG. 7.

As shown in FIG. 7, the inspection form creation unit 44 creates an inspection form in which inspection items that can be omitted are displayed in a shaded manner, and items that require inspection are displayed normally, not shaded. This inspection form makes it possible to clearly identify the inspection items that require inspection by the maintenance staff and the inspection items that can be omitted.

The inspection form creation unit 44 can also highlight inspection items for which testing can be omitted using a display method other than shading. For example, the inspection form creation unit 44 can display inspection items for which testing can be omitted and inspection items for which testing is required in different colors. In addition, the inspection form creation unit 44 can create an inspection form in which it is not possible to enter data in the value column and judgment column for inspection items for which testing can be omitted.

The inspection form shown in FIG. 7 includes inspection items for which inspection can be omitted based on the measurement data of the measuring device 1, and inspection items that are unrelated to the measurement data. For example, in the example shown in FIG. 7, the inspection items for which inspection can be omitted based on the measurement results of the measuring device 1 are the tire thickness, flange thickness, flange height, flange angle, pantograph contact strip thickness, and brake pad thickness of the wheel, and the inspection items that are unrelated to the measurement data are the pantograph spring pressure and brake air pressure.

In this way, the inspection slip creation unit 44 creates an inspection slip that includes inspection items for which the data collection server 3 has not determined whether inspection is necessary or optional, in addition to the inspection items for which the data collection server 3 has determined whether inspection is necessary or optional, so as to prevent any inspections from being missed. As a result, when inspecting the railway vehicle 7, maintenance personnel can easily understand which inspection items require inspection and which inspection items can be omitted by checking the inspection slip output from the management server 4, thereby preventing any inspections from being missed.

In the example shown in FIG. 7, for the inspection items of the thickness of the flange on the wheel, the height of the flange on the wheel, and the angle of the flange on the wheel, the measurement values indicated by the measurement data obtained from the measuring device 1 or the measurement values indicated by the measurement data predicted by the data collection server 3 are "498 millimeters," "31 millimeters," and "32 degrees."

Therefore, it has been determined that inspection of the wheel flange thickness, wheel flange height, and wheel flange angle can be omitted at the next inspection of railway vehicle 7.

In the example shown in FIG. 7, the thickness of the tires on the wheels and the thickness of the pantograph sliders have been determined by the inspection and repair manager or by the determination unit 36 to be outside the range where inspection can be omitted, and therefore are not shaded as inspection items that require inspection by the maintenance personnel.

In addition, the example shown in FIG. 7 shows the inspection order as follows: the pantograph slider thickness is inspected immediately, followed by the tire thickness on the wheels, and then the brake pad thickness. This allows the maintenance personnel inspecting the railway vehicle 7 to inspect the most urgent inspection items by using the inspection form shown in FIG. 7.

In this way, the inspection and repair management system 100 can provide maintenance personnel inspecting railway vehicles 7 with an inspection form that enables them to recognize whether an inspection is necessary or can be omitted by not inspecting inspection items that can be substituted with measured data or predicted data. By using the inspection form created by the management server 4, maintenance personnel inspecting railway vehicles 7 can identify inspection items that do not require inspection, and can further recognize inspection items that should be inspected as a priority. As a result, maintenance personnel inspecting railway vehicles 7 can shorten the inspection time compared to inspecting all inspection items.

The inspection and repair manager may also use the inspection slip after the maintenance staff has completed the inspection to change the range within which inspection can be omitted when determining whether an inspection is necessary or can be omitted. For example, the inspection and repair manager may determine that an inspection is necessary for a certain inspection item because the corresponding measurement data is outside the range within which inspection can be omitted, but if the measurement data from the actual inspection is within the range within which inspection can be omitted and there is a margin for the lower limit, the range within which inspection can be omitted may be widened, and vice versa. In this way, the inspection and repair manager can use the inspection slip after the maintenance staff has completed the inspection as feedback when creating inspection slips from the next time onwards.

The determination unit 36 can also accept an evaluation of the validity of the inspection items from a maintenance staff member who has confirmed the inspection items indicated on the inspection form output by the management server 4, and perform machine learning. The evaluation of the validity of the inspection items is an evaluation of the validity of the judgment by the determination unit 36 as to whether or not an inspection is necessary for the inspection items corresponding to the measurement data of the measuring device 1.

The evaluation of the validity of an inspection item may, for example, be an evaluation that the judgment by the judgment unit 36 that the inspection can be omitted is not valid, or an evaluation that the judgment by the judgment unit 36 that the inspection is necessary is not valid. In this case, the judgment unit 36 includes the measurement data used by the judgment unit 36 for the inspection item for which the judgment that the inspection or necessity can be omitted is evaluated as being valid, in the learning data. Furthermore, when the judgment by the judgment unit 36 that the inspection can be omitted or is necessary is not valid, the judgment unit 36 does not use the measurement data used in such judgment as the learning data. This allows the inspection and repair management system 100 to improve the accuracy of judgments on the necessity of inspection.

The evaluation of the validity of an inspection item may use an evaluation value of three or more levels. In this case, the judgment unit 36 may perform machine learning using, for example, the evaluation value as a label and the measurement data for the inspection item to be evaluated as learning data. This also allows the inspection and repair management system 100 to improve the accuracy of determining whether or not an inspection is necessary.

The inspection and repair manager may also have the judgment unit 36 perform machine learning using, for example, the inspection slip after the maintenance staff has completed the inspection as learning data. For example, the judgment unit 36 may perform machine learning using, as learning data, data in which a 1 is associated with measurement data corresponding to an inspection item for which OK has been entered in the judgment column, and data in which a 0 is associated with measurement data corresponding to an inspection item for which NG has been entered in the judgment column.

The inspection ticket created by the inspection ticket creation unit 44 is an inspection ticket for a single railway vehicle 7, but it may also be an inspection ticket for a single component such as a pantograph, wheel, or brake.

Figure 8 is a flowchart showing an example of processing by the processing unit of the data collection server according to the first embodiment. As shown in Figure 8, the processing unit 32 of the data collection server 3 determines whether or not measurement data has been acquired from the acquisition device 2 via the network 8 and the communication unit 30 (step S10).

When the processing unit 32 determines that measurement data has been acquired from the acquisition device 2 (step S10: Yes), the processing unit 32 stores the acquired measurement data in the storage unit 31 (step S11). When the processing of step S11 is completed or when the processing unit 32 determines that measurement data has not been acquired from the acquisition device 2 (step S10: No), the processing unit 32 determines whether or not a judgment timing has arrived (step S12).

When the processing unit 32 determines that the determination timing has arrived (step S12: Yes), it determines whether or not an examination is required for the examination item corresponding to the measurement data based on the measurement data stored in the memory unit 31 (step S13). Furthermore, when it is determined that an examination is required for the examination item corresponding to the measurement data, the processing unit 32 determines the stage at which an examination is required for the examination item corresponding to the measurement data (step S14).

Then, the processing unit 32 outputs to the inspection terminal 6 inspection necessity result data indicating whether inspection is necessary for the inspection item corresponding to the measurement data determined in step S13, and inspection necessity stage data indicating the inspection necessity stage for the inspection item corresponding to the measurement data determined in step S14 (step S15).

When the processing of step S15 is completed or when it is determined that the determination timing has not yet come (step S12: No), the processing unit 32 determines whether or not it is time to end the operation (step S16). For example, when it is determined that the power supply (not shown) of the data collection server 3 has been turned off or when it is determined that an operation to end the operation has been performed on an input unit (not shown) of the data collection server 3, the processing unit 32 determines that it is time to end the operation.

If the processing unit 32 determines that it is not time to end the operation (step S16: No), it transitions to step S10, and if it determines that it is time to end the operation (step S16: Yes), it ends the process shown in FIG. 8.

Figure 9 is a flowchart showing an example of processing by the processing unit of the management server according to the first embodiment. As shown in Figure 9, the processing unit 42 of the management server 4 determines whether data has been acquired from the data collection server 3 via the communication unit 40 (step S20). The data acquired from the data collection server 3 includes inspection necessity result data, inspection necessary stage data, measurement data, prediction data, etc.

When the processing unit 42 determines that data has been acquired from the data collection server 3 (step S20: Yes), it stores the acquired data in the storage unit 41 (step S21). When the processing of step S21 is completed or when the processing unit 42 determines that data has not been acquired from the data collection server 3 (step S20: No), it determines whether or not it is time to create the checklist (step S22).

When the processing unit 42 determines that it is time to create the inspection form (step S22: Yes), it creates the inspection form based on the data acquired from the data collection server 3 and stored in the memory unit 41 (step S23). Then, the processing unit 42 outputs the inspection form created in step S23 to the inspection terminal 6 (step S24).

Then, when the processing of step S24 is completed, or when it is determined that it is not time to create the checklist (step S22: No), the processing unit 42 determines whether it is time to end the operation (step S25). For example, when it is determined that the power supply (not shown) of the management server 4 has been turned off, or when it is determined that an operation to end the operation has been performed on an input unit (not shown) of the management server 4, the processing unit 42 determines that it is time to end the operation.

If the processing unit 42 determines that it is not time to end the operation (step S25: No), it transitions to step S20, and if it determines that it is time to end the operation (step S25: Yes), it terminates the processing shown in FIG. 9.

Fig. 10 is a diagram showing an example of a hardware configuration of a processing unit according to the first embodiment. As shown in Fig. 10, the processing units 32 and 42 include a computer having a processor 101, a memory 102, and a bus 103. The processor 101 and the memory 102 can transmit and receive information to and from each other via the bus 103.

Memory units 31 and 41 are realized by memory 102. Processor 101 executes the functions of processing units 32 and 42 by reading and executing programs stored in memory 102. Processor 101 is, for example, an example of a processing circuit, and includes one or more of a CPU (Central Processing Unit), a DSP (Digital Signal Processor), and a system LSI (Large Scale Integration). The programs stored in memory unit 31 and memory unit 41 are examples of inspection and repair management programs.

The memory 102 includes one or more of a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, an EPROM (Erasable Programmable Read Only Memory), and an EEPROM (Electrically Erasable Programmable Read Only Memory). The memory 102 also includes a recording medium on which a computer-readable program is recorded. Such a recording medium includes one or more of a non-volatile or volatile semiconductor memory, a magnetic disk, a flexible memory, an optical disk, a compact disk, and a DVD (Digital Versatile Disc). The processing units 32 and 42 may include integrated circuits such as an ASIC (Application Specific Integrated Circuit) and an FPGA (Field Programmable Gate Array).

In the above example, the inspection and repair management system 100 is divided into a data collection server 3 and a management server 4, but the inspection and repair management system 100 may be configured to have one server that includes the functions of the data collection server 3 and the functions of the management server 4. In addition, the inspection and repair management system 100 may be configured to realize the functions of the data collection server 3 and the functions of the management server 4 with three or more servers.

The railway vehicle 7 is provided with on-board equipment (not shown) that collects operation data indicating the status of the on-board equipment, and the acquisition device 2 can also acquire the operation data from the on-board equipment. The on-board equipment is, for example, a brake device or a motor that rotates the wheels. The operation data is, for example, the air pressure of the brake device or the current flowing through the motor.

In this case, the data collection server 3 can also acquire operation data from the acquisition device 2, and output an inspection necessity determination result indicating the result of a determination as to whether or not the equipment needs to be inspected based on the operation data. The equipment is an example of a component of a railway vehicle 7. The management server 4 can also create an inspection form to be used when inspecting the railway vehicle 7, based on the inspection necessity determination result indicating the result of a determination as to whether or not the component needs to be inspected based on the measurement data, and the inspection necessity determination result indicating the result of a determination as to whether or not the component needs to be inspected based on the operation data. This allows the inspection and repair management system 100 to create an inspection form that reflects the inspection items required for the inspection of the railway vehicle 7.

For example, the judgment result output unit 37 of the data collection server 3 outputs an inspection necessity judgment result that clearly indicates which inspection items require inspection and which inspection items can be omitted for each of the inspection items corresponding to the operational data and the measurement data. The inspection form creation unit 44 of the management server 4 creates an inspection form that reflects which inspection items require inspection and which inspection items can be omitted for each of the inspection items corresponding to the operational data and the measurement data. In this way, the inspection and repair management system 100 can provide an inspection form that enables maintenance personnel who inspect the railway vehicles 7 to recognize whether an inspection is required or can be omitted.

As described above, the inspection and repair management system 100 according to the first embodiment includes the data acquisition unit 33, the judgment result output unit 37, the inspection form creation unit 44, and the inspection form output unit 45. The data acquisition unit 33 acquires measurement data indicating the appearance state measured by the measuring device 1 that measures the appearance state of the components in the railway vehicle 7. The judgment result output unit 37 outputs an inspection necessity judgment result indicating the result of the judgment on the necessity of inspection of the components based on the measurement data acquired by the data acquisition unit 33. The inspection form creation unit 44 creates an inspection form to be used when inspecting the railway vehicle 7 based on the inspection necessity judgment result output by the judgment result output unit 37. The inspection form output unit 45 outputs the inspection form created by the inspection form creation unit 44. As a result, the inspection and repair management system 100 can create an inspection form that reflects the inspection items required for the inspection of the railway vehicle 7.

The determination result output unit 37 also outputs an inspection necessity determination result that clearly indicates the inspection items that require inspection and the inspection items that can be omitted, and the inspection slip creation unit 44 creates an inspection slip that reflects the inspection items that require inspection and the inspection items that can be omitted. This allows the inspection and repair management system 100 to provide the maintenance personnel inspecting the railway vehicle 7 with an inspection slip that enables them to recognize whether an inspection is required or can be omitted. By using the inspection slip created by the inspection slip creation unit 44, the maintenance personnel inspecting the railway vehicle 7 can identify the inspection items that do not require inspection, and further recognize the inspection items that should be inspected with priority.

The judgment result output unit 37 also outputs inspection requirement stage data, which is data indicating the inspection requirement stage that represents the urgency of the inspection, for inspection items that require inspection. The inspection form creation unit 44 creates an inspection form that reflects the inspection requirement stage based on the inspection requirement stage data. This enables the inspection and repair management system 100 to easily enable the maintenance personnel inspecting the railway vehicle 7 to understand which inspection items that require inspection should be inspected as a priority.

The inspection and repair management system 100 also includes a presentation unit 34 that presents the measurement data, and a reception unit 35 that receives a judgment result on the necessity of inspection of the components from an administrator who has confirmed the measurement data presented by the presentation unit 34. The judgment result output unit 37 outputs the administrator's judgment result received by the reception unit 35 as an inspection necessity judgment result. This allows the inspection and repair management system 100 to allow the administrator to judge whether or not inspection of the components is necessary, thereby improving the accuracy of judgments on the necessity of inspection of the components.

The inspection and repair management system 100 also includes a determination unit 36 that determines whether inspection of a component is necessary or can be omitted based on the measurement data. This allows the inspection and repair management system 100 to automatically determine whether or not inspection of a component is necessary without requiring an administrator to determine whether or not inspection of the component is necessary.

The determination unit 36 also uses a trained model generated by machine learning to determine whether inspection of a component is necessary or can be omitted. This allows the inspection and repair management system 100 to automatically and accurately determine whether or not inspection of a component is necessary.

The judgment unit 36 also performs machine learning based on an evaluation of the validity of the inspection items from a maintenance staff member who confirmed the inspection items indicated on the inspection form. A maintenance staff member is an example of a worker. This allows the inspection and repair management system 100 to automatically and accurately judge whether or not inspection of components is required.

The inspection form creation unit 44 also creates an inspection form that includes inspection items for components in the railway vehicle 7 that do not include information on whether inspection is required or optional in the inspection necessity determination result. This allows the inspection and repair management system 100 to prevent inspection omissions.

The configurations shown in the above embodiments are merely examples, and may be combined with other known technologies. Parts of the configurations may be omitted or modified without departing from the spirit of the invention.

1 Measuring device, 2 Acquisition device, 3 Data collection server, 4 Management server, 5 Management terminal, 6 Inspection terminal, 7 Railway vehicle, 8 Network, 30, 40 Communication unit, 31, 41 Storage unit, 32, 42 Processing unit, 33 Data acquisition unit, 34 Presentation unit, 35 Reception unit, 36 Judgment unit, 37 Judgment result output unit, 43 Acquisition unit, 44 Inspection form creation unit, 45 Inspection form output unit, 50 Display screen, 51 Graph, 52 OK button, 53 NG button, 54 Inspection required stage input box, 100 Inspection and repair management system, 101 Processor, 102 Memory, 103 Bus.

Claims (10)

a data acquisition unit that acquires measurement data indicating an appearance state measured by a measuring device that measures an appearance state of a component that is an element that configures a railway vehicle;
a determination result output unit that outputs an inspection necessity determination result indicating a result of determining whether or not the component needs to be inspected based on the measurement data acquired by the data acquisition unit; and
an inspection slip creation unit that creates an inspection slip to be used when inspecting the railway vehicle, based on the inspection necessity determination result output by the determination result output unit;
and an inspection slip output unit that outputs the inspection slip created by the inspection slip creation unit. The determination result output unit
outputting the inspection necessity determination result indicating inspection items that require inspection and inspection items that can be omitted;
The inspection slip creation unit includes:
The inspection and repair management system according to claim 1, characterized in that the inspection slip is created to reflect inspection items that require inspection and inspection items that can be omitted. The determination result output unit
For test items that require testing, output data showing the test requirement stage, which indicates the urgency of the test,
The inspection slip creation unit includes:
The inspection and repair management system according to claim 2, characterized in that the inspection slip is created to reflect the inspection requirement stage. A presentation unit that presents the measurement data;
a reception unit that receives a determination result of the necessity of inspection of the component from an administrator who has confirmed the measurement data presented by the presentation unit,
The determination result output unit
The inspection and repair management system according to any one of claims 1 to 3, characterized in that the judgment result accepted by the acceptance unit is output as the inspection necessity judgment result. The inspection and repair management system according to any one of claims 1 to 3, further comprising a determination unit that determines whether inspection of the component is necessary or can be omitted based on the measurement data. The determination unit is
The inspection and repair management system according to claim 5, characterized in that it determines whether inspection of the component is necessary or can be omitted using a trained model generated by machine learning. The determination unit is
The inspection and repair management system according to claim 6, characterized in that the machine learning is performed based on an evaluation of the validity of the inspection items from a maintenance person who has confirmed the inspection items indicated on the inspection sheet. The inspection slip creation unit includes:
The inspection and repair management system according to any one of claims 1 to 7, characterized in that the inspection slip is created to include inspection items for components of the railway vehicle that do not include information on whether inspection is required or optional in the inspection necessity determination result, among the multiple components of the railway vehicle. a data acquisition step of acquiring measurement data indicating an appearance state measured by a measuring device that measures an appearance state of a component that is an element constituting a railway vehicle;
a determination result output step of outputting an inspection necessity determination result indicating a result of a determination on the necessity of inspection of the component based on the measurement data acquired by the data acquisition step;
an inspection slip creation step of creating an inspection slip to be used when inspecting the railway vehicle, based on the inspection necessity determination result outputted by the determination result output step;
an inspection slip output step of outputting the inspection slip created by the inspection slip creation step. a data acquisition step of acquiring measurement data indicating an appearance state measured by a measuring device that measures an appearance state of a component that is an element constituting a railway vehicle;
a determination result output step of outputting an inspection necessity determination result indicating a result of a determination on the necessity of inspection of the component based on the measurement data acquired by the data acquisition step;
an inspection slip creation step of creating an inspection slip to be used when inspecting the railway vehicle, based on the inspection necessity determination result outputted by the determination result output step;
an inspection slip output step for outputting the inspection slip created by the inspection slip creation step.

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