Abnormal determination method and abnormal determination program

Abstract

To provide an abnormality determination method which can determine not only an abnormality in a current collecting device but also an abnormality in an overhead power line by monitoring the state of the current collecting device.SOLUTION: An abnormality determination method according to an embodiment of the present disclosure acquires an output value of each line separation sensor corresponding to each of a plurality of current collecting devices, calculates a line separation rate for each travel section of each current collecting device on the basis of the output value, determines whether or not there is an abnormality in the current collecting device being the determination object on the basis of a difference between a travel section reference line separation rate preset for each travel section and the line separation rate in each travel section of the current collecting device being the determination object, and determines whether or not there is an abnormality in an overhead power line in the travel section being the determination object on the basis of the difference between the current collecting device reference line separation rate preset for each current collecting device and the line separation rate in each current collecting device in the travel section being the determination object.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present disclosure relates to a current collector device, an abnormality determination method, and an abnormality determination program for determining an abnormality in an overhead line.

Background Art

[0002] A train powered by electricity is equipped with a current collector device and obtains electricity from an overhead line via the current collector device. A system has been devised to detect an abnormality in the current collector device by monitoring the state of the current collector device (see, for example, Patent Document 1 below).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, even when the current collector device appears to be abnormal, there may actually be no abnormality in the current collector device, and there may be an abnormality in the overhead line that the current collector device contacts. Therefore, an object of the present disclosure is to provide an abnormality determination method and an abnormality determination program that can determine not only an abnormality in the current collector device but also an abnormality in the overhead line by monitoring the state of the current collector device.

Means for Solving the Problems

[0005] An abnormality determination method according to one aspect of the present disclosure acquires output values of respective offline sensors corresponding to a plurality of current collectors, calculates an offline rate for each travel section of each current collector based on the output values, and determines whether there is an abnormality in the current collector to be determined based on a difference between a travel section reference offline rate preset for each travel section and the offline rate in each travel section of the current collector to be determined. Further, it determines whether there is an abnormality in the overhead line of the travel section to be determined based on a difference between a current collector reference offline rate preset for each current collector and the offline rate in each current collector of the travel section to be determined.

[0006] An abnormality determination program according to one aspect of the present disclosure causes a computer to acquire output values of respective offline sensors corresponding to a plurality of current collectors, calculate an offline rate for each travel section of each current collector based on the output values, determine whether there is an abnormality in the current collector to be determined based on a difference between a travel section reference offline rate preset for each travel section and the offline rate in each travel section of the current collector to be determined, and determine whether there is an abnormality in the overhead line of the travel section to be determined based on a difference between a current collector reference offline rate preset for each current collector and the offline rate in each current collector of the travel section to be determined.

Advantages of the Invention

[0007] According to the above-described abnormality determination method and abnormality determination program, by monitoring the state of the current collector, it is possible to determine not only abnormalities in the current collector but also abnormalities in the overhead line.

Brief Description of the Drawings

[0008]

Figure 1

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Embodiment for Carrying Out the Invention

[0009] <Train Operation System> Hereinafter, the abnormality determination method according to the embodiment will be described. First, the train operation system 100 in which the abnormality determination method is implemented will be described. FIG. 1 is a schematic diagram of the train operation system 100. As shown in FIG. 1, the train operation system 100 of the present embodiment includes a plurality of trains 10, a computer 20, and a display device 30.

[0010] Each train 10 is composed of a plurality of vehicles 11, and at least one of the plurality of vehicles 11 has a current collector device 12 and a disconnection sensor 13 corresponding to the current collector device 12. The current collector device 12 contacts an overhead line (electric wire) 14 and obtains electricity from the overhead line 14. The current collector device 12 of the present embodiment is a so-called pantograph, but the current collector device 12 is not limited to a pantograph. The disconnection sensor 13 is a sensor that observes the contact state between the current collector device 12 and the overhead line 14. The disconnection sensor 13 of the present embodiment is an optical type that measures the amount of light of an arc generated between the current collector device 12 and the overhead line 14, but the disconnection sensor 13 is not limited to the optical type.

[0011] In the present embodiment, it is assumed that each train 10 runs on the same route. That is, the current collector device 12 of each train 10 contacts the same overhead line 14. Note that although each train 10 of the present embodiment is composed of a plurality of vehicles 11, each train 10 may be composed of one vehicle 11 having a current collector device 12 and a disconnection sensor 13.

[0012] The computer 20 has a processor, volatile memory, non-volatile memory, an I / O interface, and the like. In the non-volatile memory of the computer 20, an abnormality determination program and various data to be described later are stored, and the processor performs arithmetic processing using the volatile memory based on each program. The computer 20 is a so-called server, and acquires operation information including the current collector information of each current collector 12 from each train 10 via a network. However, the method of acquiring operation information by the computer 20 is not limited to this.

[0013] The current collector information of each of the current collectors 12 described above includes the number of the current collector 12, the output value of the disconnection sensor 13 corresponding to the current collector 12, the notch level of the train 10 on which the current collector 12 is mounted, the number of the current collectors 12 in use among the current collectors 12 mounted on the train 10, the speed of the train 10, the running position of the train 10, and the time. Among these, the output value of the disconnection sensor 13, the notch level, the number of the current collectors 12 in use, the speed of the train 10, and the running position of the train 10 are time series data and are associated with the time.

[0014] The display device 30 is a device that displays various information. The display device 30 of the present embodiment is a so-called display. The display device 30 is electrically connected to the computer 20 and displays the information output from the computer 20.

[0015] The functions of the elements disclosed in this specification can be executed using a circuit or processing circuit including a general-purpose processor, a dedicated processor, an integrated circuit, an ASIC (Application Specific Integrated Circuits), a conventional circuit, and / or a combination thereof that is configured or programmed to perform the disclosed functions. Since a processor includes transistors and other circuits, it is regarded as a processing circuit or a circuit. In the present disclosure, a circuit, a unit, or a means is either hardware that performs the recited functions or hardware programmed to perform the recited functions. The hardware may be the hardware disclosed in this specification or other known hardware that is programmed or configured to perform the recited functions. When the hardware is a processor, which is considered a type of circuit, the circuit, the means, or the unit is a combination of hardware and software, and the software is used in the configuration of the hardware and / or the processor.

[0016] <Abnormality determination program> Next, the abnormality determination program executed by the computer 20 will be described. FIG. 2 is a flowchart of the abnormality determination program. As shown in FIG. 2, when the abnormality determination program is executed, the computer 20 acquires the collector device information of each collector device 12 (step S1). As described above, the collector device information includes the output value of the offline sensor 13. When the output value of the offline sensor 13 is shown in a graph, it is, for example, as shown in FIG. 3. FIG. 3 is a diagram showing an example of the output value of the offline sensor 13. The vertical axis of the graph shown in FIG. 3 is the output value of the offline sensor 13, and the horizontal axis is time.

[0017] Subsequently, the computer 20 divides the output value of the offline sensor 13 acquired in step S1 by the running section of the train 10 (step S2). FIG. 4 is a diagram showing the output value of the offline sensor 13 divided by the running section. In step S2, first, the horizontal axis of the graph showing the output value of the offline sensor 13 shown in FIG. 3 is converted from time to running distance. As described above, the output value of the offline sensor 13 and the running position of the train 10 are associated via time. Therefore, the horizontal axis of the graph shown in FIG. 3 can be converted from time to running distance.

[0018] Then, as shown in FIG. 4, the output value of the offline sensor 13 is divided by the running section. In the present embodiment, the running section of the train 10 is partitioned into three sections: a first running section, a second running section, and a third running section. Note that the distance of each running section can be arbitrarily set. The distances of each running section may be the same or different. Also, when the track on which each train 10 runs is a double track, the up and down (outbound and return trips) are different running sections. This is because the overhead line 14 that the current collector 12 contacts is different for the up and down directions.

[0019] Subsequently, the computer 20 determines the offline location of the current collector 12 (step S3). The offline location is a location where it is considered that the current collector 12 and the overhead line 14 are separated. FIG. 5 is a diagram for explaining the method of determining the offline location. As shown in FIG. 5, in the present embodiment, a threshold value is set, and a location where the output value of the offline sensor 13 is equal to or greater than the threshold value is determined as the offline location. In FIG. 5, the location corresponding to the hatched portion is the offline location.

[0020] Here, the threshold value is set based on the notch level acquired in step S1 and the number of current collectors 12 in use. In the present embodiment, when the notch level is small and the number of current collectors 12 is large, the amount of light of the arc generated when the current collector 12 and the overhead line 14 are separated is small. Therefore, in such a case, the threshold value is set small. Conversely, when the notch level is large and the number of current collectors 12 is small, the amount of light of the arc generated when the current collector 12 and the overhead line 14 are separated is large. Therefore, in such a case, the threshold value is set large.

[0021] Subsequently, the computer 20 calculates the disconnection rate for each travel section of each current collector device 12 (step S4). Here, the disconnection rate for each travel section refers to the ratio of the disconnection locations to the entire travel section. The disconnection rate can be calculated based on FIG. 5. Note that the disconnection rate may be the ratio of the "time" during which the current collector device 12 is disconnected to the "time" of traveling in the travel section, or may be the ratio of the "distance" during which the current collector device 12 is disconnected to the "distance" of the travel section. Also, in the present embodiment, the disconnection rate is corrected based on the speed of the train 10 acquired in step S1. Specifically, since disconnection is likely to occur when the speed of the train 10 is high, when the speed of the train 10 is high, the disconnection rate is corrected downward, and when the speed of the train 10 is low, the disconnection rate is corrected upward.

[0022] FIG. 6 is a table showing an example of the disconnection rate for each travel section at each travel date and time of each current collector device 12. The numerical values in the table of FIG. 6 indicate the disconnection rate for each travel section at three different travel times for each of the three current collector devices 12, namely, the first current collector device, the second current collector device, and the third current collector device. In the table shown in FIG. 6, FIG. 7 is a table with the value obtained by averaging the disconnection rates at three travel dates and times in the same travel section for the same current collector device 12 as the disconnection rate (average value). FIG. 7 is a table showing the disconnection rate (average value) for each travel section of each current collector device 12. In the present embodiment, abnormality determination is performed using the disconnection rate (average value) in FIG. 7. However, instead of the average value of the disconnection rate, for example, one of the disconnection rates at the three travel dates and times shown in FIG. 6 may be used for abnormality determination.

[0023] Subsequently, the computer 20 sets a travel section reference disconnection rate for each travel section (step S5). FIG. 8 is a table obtained by adding the travel section reference disconnection rate and the difference from the travel section reference disconnection rate for each travel section to the table of FIG. 7. The travel section reference disconnection rate for each travel section is set based on the disconnection rate of each current collector device 12 in each travel section. In the present embodiment, the "median value" of the disconnection rate of each current collector device 12 in each travel section is set as the travel section reference disconnection rate. Note that the "median value" refers to the value with the middle rank, and when the number of data is even, it is the arithmetic mean value of the two values with the middle ranks.

[0024] For example, in FIG. 8, since the disconnection rates of the first current collector device, the second current collector device, and the third current collector device in the first driving section are 6%, 3%, and 3% respectively, 3% which is the median of these values is set as the driving section reference disconnection rate of the first driving section. However, the "average value" of the disconnection rates of each current collector device 12 in each driving section may be set as the driving section reference disconnection rate for each driving section.

[0025] Subsequently, the computer 20 calculates the difference between the driving section reference disconnection rate for each driving section set in step S5 and the disconnection rate of each current collector device 12 in that driving section (step S6). The numerical values within the parentheses in the table of FIG. 8 indicate the difference between each disconnection rate and the driving section reference disconnection rate (the value obtained by subtracting the driving section reference disconnection rate from each disconnection rate).

[0026] Subsequently, the computer 20 determines whether the number of driving sections in which the disconnection rate of the current collector device 12 to be determined is greater than the driving section reference disconnection rate and the difference is equal to or greater than the threshold value is equal to or greater than a predetermined number (step S7). In step S7, the determination may be made for all the current collector devices 12, or the determination may be made for some of the current collector devices 12. Also, the above-mentioned threshold value and predetermined number can be arbitrarily set. In the present embodiment, the threshold value is set to 2% and the predetermined number is set to 2.

[0027] For example, in the first current collector device, the driving sections in which the disconnection rate is greater than the driving section reference disconnection rate and the difference is 2% or more are the three driving sections of the first driving section, the second driving section, and the third driving section, which is equal to or greater than the predetermined number of 2. That is, in step S7, when the first current collector device is the determination target, the computer 20 determines that the number of driving sections in which the disconnection rate is greater than the driving section reference disconnection rate and the difference is equal to or greater than the threshold value is equal to or greater than the predetermined number (YES in step S7). In this case, the computer 20 determines that the current collector device 12 (the first current collector device) to be determined is abnormal (step S8). This determination is made because it is considered that the current collector device 12 with a high disconnection rate in many driving sections has an abnormality in the current collector device 12 itself.

[0028] In contrast, in the second current collector device, there is no driving section in which the disconnection rate is greater than the reference disconnection rate for the driving section and the difference therebetween is 2% or more. That is, in step S7, when the second current collector device is the determination target, the computer 20 determines that the number of driving sections in which the disconnection rate is greater than the reference disconnection rate for the driving section and the difference therebetween is equal to or greater than the threshold value is not equal to or greater than a predetermined number (NO in step S7). In this case, the computer 20 determines that the current collector device 12 (second current collector device) that is the determination target is normal (step S9).

[0029] Subsequently, the computer 20 sets a reference disconnection rate for each current collector device 12 (step S10). FIG. 9 is a table obtained by adding the reference disconnection rate for each current collector device 12 and the difference from the reference disconnection rate to the table of FIG. 7. The reference disconnection rate for each current collector device 12 is set based on the disconnection rate of each driving section in each current collector device 12. In the present embodiment, the "median value" of the disconnection rates of each driving section in each current collector device 12 is set as the reference disconnection rate for the current collector device.

[0030] For example, in FIG. 9, since the disconnection rates of the first driving section, the second driving section, and the third driving section in the first current collector device are 6%, 9%, and 12%, respectively, 9%, which is the median value thereof, is set as the reference disconnection rate for the first current collector device. However, the "average value" of the disconnection rates of each driving section in each current collector device 12 may be set as the reference disconnection rate for each current collector device 12, or the like.

[0031] Subsequently, the computer 20 calculates the difference between the reference disconnection rate for each current collector device 12 set in step S10 and the disconnection rate of each driving section in that current collector device 12 (step S11). The numerical values in parentheses in the table of FIG. 9 indicate the difference between each disconnection rate and the reference disconnection rate (the value obtained by subtracting the reference disconnection rate for the current collector device from each disconnection rate).

[0032] Subsequently, the computer 20 determines whether there are a predetermined number or more of current collectors 12 in the driving section to be determined, where the disconnection rate is greater than the reference disconnection rate of the current collector and the difference is equal to or greater than the threshold value (step S12). In step S12, the determination may be made for all driving sections, or for some driving sections. Also, the above-mentioned threshold value and predetermined number can be arbitrarily set. In this embodiment, the threshold value is set to 2% and the predetermined number is set to 2.

[0033] For example, in the first driving section, there is no driving section where the disconnection rate is greater than the reference disconnection rate of the current collector and the difference is 2% or more. That is, when the first driving section is the determination target in step S12, the computer 20 determines that the number of current collectors 12 where the disconnection rate is greater than the reference disconnection rate of the current collector and the difference is equal to or greater than the threshold value is less than the predetermined number (NO in step S12). In this case, the computer 20 determines that the overhead line 14 in the driving section to be determined (the first driving section) is normal (step S13).

[0034] On the other hand, in the third driving section, there are three driving sections where the disconnection rate is greater than the reference disconnection rate of the current collector and the difference is 2% or more, namely the first current collector, the second current collector, and the third current collector, which is more than the predetermined number of 2. That is, when the third driving section is the determination target in step S12, the computer 20 determines that the number of current collectors 12 where the disconnection rate is greater than the reference disconnection rate of the current collector and the difference is equal to or greater than the threshold value is equal to or greater than the predetermined number (YES in step S12). In this case, the process proceeds to step S14.

[0035] Note that when the result in step S12 is YES, since the disconnection rate is high in many current collectors 12 in the driving section to be determined, there may be an abnormality in the overhead line 14 in that driving section. However, since there may be a cause other than the overhead line 14 for the high disconnection rate, the cause of the high disconnection rate is further verified in the next step S14.

[0036] In step S14, the driving section where an abnormality in the overhead line 14 is suspected (the driving section where the result in step S12 is YES) becomes the object of determination. In the above example, the third driving section becomes the object of determination. In step S14, in this driving section to be determined, it is determined whether there are a predetermined number or more of current collectors 12 in which the difference in the offline rate at different driving dates and times is equal to or greater than the threshold value. The offline rate, threshold value, and predetermined number that are the objects of the above difference in the offline rate can be arbitrarily set. In the present embodiment, the difference in the offline rate is the difference between the minimum offline rate and the maximum offline rate, the threshold value is set to 5%, and the predetermined number is set to 2.

[0037] For example, referring to the table shown in FIG. 6, in the third driving section, the differences between the minimum offline rate and the maximum offline rate at different driving dates and times of the first current collector, the second current collector, and the third current collector are 10% (18% - 8%), 8% (14% - 6%), and 9% (16% - 7%), respectively, and all are equal to or greater than the threshold value of 5%. That is, in the third driving section, the current collectors 12 in which the difference in the offline rate at different driving dates and times is equal to or greater than the threshold value are three, namely the first current collector, the second current collector, and the third current collector, which is equal to or greater than the predetermined number of 2.

[0038] Therefore, in step S14, when the third driving section is the object of determination, the computer 20 determines that there are a predetermined number or more of current collectors 12 in which the difference in the offline rate at different driving dates and times is equal to or greater than the threshold value (YES in step S14). In this case, the computer 20 determines that the overhead line 14 in the driving section to be determined (the third driving section) is normal (step S15). This determination is made because when the difference in the offline rate at different driving dates and times is large, the deterioration of the offline rate (the deterioration of the offline rate on January 3 in particular in FIG. 6) is highly likely to be caused by natural environments such as wind and snow.

[0039] On the other hand, in step S14, when the computer 20 determines that there are not a predetermined number or more current collectors 12 in the travel section to be determined where the difference in the offline rate at different travel dates and times is equal to or greater than the threshold (NO in step S14), it is determined that the overhead line 14 in the travel section to be determined is abnormal. This determination is made because it is considered that the cause of the high offline rate in the travel section to be determined is not the natural environment but the overhead line 14.

[0040] Subsequently, the computer 20 outputs the determination result as to whether the current collector 12 to be determined is abnormal (steps S8, S9) and the determination result as to whether the overhead line 14 in the travel section to be determined is abnormal (steps S13, S15, S16) to the display device 30 (step S17). Note that the display method of the determination result to be displayed on the display device 30 is not limited. Note that the computer 20 may output the determination result to a storage medium or the like in addition to or instead of the display device 30.

[0041] <Summary> The abnormality determination method according to the above embodiment acquires the output values of the respective offline sensors corresponding to each of the plurality of current collectors, calculates the offline rate for each travel section of each current collector based on the output values, and determines whether there is an abnormality in the current collector to be determined based on the difference between the travel section reference offline rate set in advance for each travel section and the offline rate in each travel section of the current collector to be determined. Also, based on the difference between the current collector reference offline rate set in advance for each current collector and the offline rate of each current collector in the travel section to be determined, it is determined whether there is an abnormality in the overhead line in the travel section to be determined.

[0042] According to this method, by monitoring the state of the current collector, it is possible to determine not only abnormalities in the current collector but also abnormalities in the overhead line.

[0043] Also, in the abnormality determination method according to the embodiment, the travel section reference offline rate for each travel section is set based on the offline rate of each current collector in each travel section, and the current collector reference offline rate for each current collector is set based on the offline rate of each travel section in each current collector.

[0044] According to this method, the off-line rate based on the running section and the off-line rate based on the current collector can be set to appropriate values.

[0045] Further, in the abnormality determination method according to the embodiment, in addition to the difference between the off-line rate based on the current collector and the off-line rate in each current collector in the running section to be determined, based on the difference between the off-line rates of the same current collector in different running dates and times in the running section to be determined, it is determined whether there is an abnormality in the overhead line in the running section to be determined.

[0046] According to this method, in the abnormality determination of the overhead line, the influence of the natural environment can be excluded.

[0047] Further, the abnormality determination program in the above embodiment causes a computer to acquire the output value of each off-line sensor corresponding to each of a plurality of current collectors, calculate the off-line rate for each running section of each current collector based on the output value, and determine whether there is an abnormality in the current collector to be determined based on the difference between the off-line rate preset for each running section and the off-line rate in each running section of the current collector to be determined, and determine whether there is an abnormality in the overhead line in the running section to be determined based on the difference between the off-line rate preset for each current collector and the off-line rate in each current collector in the running section to be determined.

[0048] According to this program, by monitoring the state of the current collector, it is possible to determine not only the abnormality of the current collector but also the abnormality of the overhead line.

Explanation of Signs

[0049] 10 Train 11 Vehicle 12 Current Collector 13 Off-line Sensor 14 Overhead Line 20 Computer 30 Display Device 100 Train Operation System

Claims

1. Obtain the output values of each disconnection sensor corresponding to each of the plurality of current collectors, calculate the disconnection rate for each running section of each current collector based on the output values, determine whether there is an abnormality in the current collector to be determined based on the difference between the preset running section reference disconnection rate for each running section and the disconnection rate in each running section of the current collector to be determined, and determine whether there is an abnormality in the overhead line of the running section to be determined based on the difference between the preset current collector reference disconnection rate for each current collector and the disconnection rate in each current collector of the running section to be determined. An abnormality determination method.

2. The running section reference disconnection rate for each running section is set based on the disconnection rate of each current collector in each running section, The current collector reference disconnection rate for each current collector is set based on the disconnection rate of each running section in each current collector. The abnormality determination method according to claim 1.

3. In addition to the difference between the current collector reference disconnection rate and the disconnection rate in each current collector of the running section to be determined, determine whether there is an abnormality in the overhead line of the running section to be determined based on the difference in the disconnection rate at different running dates and times of the same current collector in the running section to be determined. The abnormality determination method according to claim 1 or 2.

4. On a computer, cause the output values of each disconnection sensor corresponding to each of the plurality of current collectors to be obtained, cause the disconnection rate for each running section of each current collector to be calculated based on the output values, cause it to be determined whether there is an abnormality in the current collector to be determined based on the difference between the preset running section reference disconnection rate for each running section and the disconnection rate in each running section of the current collector to be determined, and cause it to be determined whether there is an abnormality in the overhead line of the running section to be determined based on the difference between the preset current collector reference disconnection rate for each current collector and the disconnection rate in each current collector of the running section to be determined. An abnormality determination program.

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