Platform door condition diagnostic device, condition diagnostic method and condition diagnostic system

Abstract

To obtain a platform door condition diagnostic device that accurately diagnoses the condition of platform doors while reducing labor required to calculate the reference value.SOLUTION: A platform door condition diagnostic device comprises: a test platform door reference value construction unit that calculates the frequency distribution of base data acquired by operating a test platform door or a target platform door created by simulating the target platform door to be used for condition diagnosis, and determines a first reference value from the frequency distribution; a target platform door reference value construction unit that calculates the frequency distribution of base data acquired by operating the target platform door after installation on a station platform and determines a second reference value from the frequency distribution; an abnormality determination reference value construction unit that determines an abnormality determination reference value used for condition diagnosis from the first reference value and second reference value; a diagnostic target data calculation unit that calculates the frequency distribution from in-operation status information, which is the status information of the target platform door during operation; and a diagnostic unit that diagnoses the condition of the target platform door using the frequency distribution calculated by the diagnostic target data calculation unit and the abnormality determination reference value.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present disclosure relates to a condition diagnosis device, a condition diagnosis method, and a condition diagnosis system for platform doors. [Background technology]

[0002] In the railway business, stable operation of facilities is required. Therefore, abnormalities and failures in equipment and facilities have a large impact, so maintenance is very important. Platform doors installed on station platforms are one example of this.

[0003] In recent years, advances have been made in the development of technology for detecting abnormalities and malfunctions in platform doors before they occur and for preventing abnormalities and malfunctions from occurring. For example, Patent Document 1 discloses a technology for detecting abnormalities and malfunctions in platform doors, which detects abnormalities and malfunctions by using electrical values ​​obtained by operating platform doors installed at a place of use multiple times. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2020-104610 Summary of the Invention [Problem to be solved by the invention]

[0005] The above-mentioned platform door condition diagnosis system is intended to accurately diagnose the deterioration state of the belt. However, the reference value is calculated using only the actual measurement values ​​obtained from the platform door installed at the place of use, so if the reference value is calculated after the platform door is installed at the place of use, it takes time and effort from collecting the actual measurement values ​​to calculating the reference value.

[0006] The present disclosure has been made to solve the problems described above, and aims to perform accurate condition diagnosis of platform doors while reducing the effort required to calculate the reference value by determining the reference value based on base data of operational data obtained from a platform door created by simulating the platform door that is the subject of condition diagnosis. [Means for solving the problem]

[0007] The platform door condition diagnosis device disclosed herein comprises a test platform door reference value construction unit that calculates a frequency distribution of base data obtained by operating a test platform door or a target platform door created to simulate the target platform door that is the subject of state diagnosis and determines a first reference value from the frequency distribution, a target platform door reference value construction unit that calculates a frequency distribution of base data obtained by operating the target platform door after it has been installed on a station platform and determines a second reference value from the frequency distribution, an abnormality determination reference value construction unit that determines an abnormality determination reference value to be used for state diagnosis from the first reference value and the second reference value, a diagnosis target data calculation unit that calculates a frequency distribution from in-operation status information, which is status information of the target platform door while it is in operation, and a diagnosis unit that performs state diagnosis of the target platform door using the frequency distribution and the abnormality determination reference value calculated in the diagnosis target data calculation unit.

[0008] The condition diagnosis method for platform doors disclosed herein comprises the steps of calculating a frequency distribution of base data obtained by operating a test platform door or a target platform door created to simulate the target platform door that is the subject of condition diagnosis, and determining a first reference value from the frequency distribution; calculating a frequency distribution of base data obtained by operating the target platform door after installation on a station platform, and determining a second reference value from the frequency distribution; determining an abnormality determination reference value to be used for condition diagnosis from the first reference value and the second reference value; calculating the frequency distribution from in-operation status information, which is status information of the target platform door while it is in operation; and diagnosing the condition of the target platform door using the frequency distribution calculated from the in-operation status information and the abnormality determination reference value. Effect of the Invention

[0009] According to the platform door condition diagnosis device disclosed herein, it has the effect of accurately diagnosing the condition of platform doors while reducing the effort required to calculate reference values.

[0010] The method of diagnosing the condition of platform doors disclosed herein has the effect of accurately diagnosing the condition of platform doors while reducing the effort required to calculate reference values. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a configuration diagram of a status diagnosis system for platform doors according to a first embodiment. [Diagram 2] FIG. 1 is a schematic diagram of a platform door in accordance with a first embodiment. [Diagram 3] FIG. 1 is a schematic diagram of a status diagnosis device for platform doors according to a first embodiment. [Figure 4] 1 is a hardware configuration diagram of a condition diagnostic device according to a first embodiment. [Diagram 5] FIG. 4 is a diagram showing an example of a frequency distribution according to the first embodiment. [Figure 6] 4 is a diagnostic process flowchart of the platform door status diagnosis device according to the first embodiment. [Figure 7] FIG. 11 is a schematic diagram of a platform door status diagnosis device according to a second embodiment. [Figure 8] FIG. 11 is a diagram showing an example of a frequency distribution according to the second embodiment. [Figure 9] FIG. 11 is a diagram showing an example of a frequency distribution according to the second embodiment. [Figure 10] FIG. 11 is a diagram showing an example of a frequency distribution according to the second embodiment. [Figure 11] FIG. 11 is a schematic diagram of a platform door status diagnosis device according to a third embodiment. [Figure 12] FIG. 13 is a diagram showing the correspondence between the test platform doors and the degree of abnormality in the third embodiment. [Figure 13] 13 is an example of a diagnosis result of a diagnosis unit of the condition diagnosis device according to the third embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, the embodiments will be described in detail with reference to the drawings. Note that the embodiments described below are merely examples. Furthermore, the embodiments can be implemented in appropriate combination.

[0013] Embodiment 1 FIG. 1 is a configuration diagram of a platform door status diagnosis system according to a first embodiment. FIG. 2 is a schematic diagram of a platform door according to the first embodiment. FIG. 3 is a schematic diagram of a platform door status diagnosis device according to the first embodiment. FIG. 4 is a hardware configuration diagram of the status diagnosis device according to the first embodiment. FIG. 5 is a diagram showing an example of a frequency distribution according to the first embodiment. FIG. 6 is a diagnosis process flowchart of the platform door status diagnosis device according to the first embodiment.

[0014] 1 , a status diagnosis system 1000 for platform doors according to the present disclosure includes a status diagnosis device 100 and platform doors 200. The status diagnosis system 1000 performs status diagnosis of the platform doors 200 by the status diagnosis device 100.

[0015] First, the platform door 200 will be described with reference to Fig. 2. As shown in Fig. 2, the platform door 200 is composed of multiple platform doors 200-1 to 200-N, and is arranged along the edge of the platform to separate the space above the station platform from the space above the tracks on which trains travel. Note that N is any natural number.

[0016] The platform doors 200-1 to 200-N each include a motor 210-1 to 210-N, a sliding door 220-1 to 220-N, and a control unit 230-1 to 230-N. For example, as shown in FIG 2, the platform door 200-1 includes a motor 210-1, a sliding door 220-1, and a control unit 230-1.

[0017] The sliding door 220 opens and closes by the rotational force generated by the motor 210. The control unit 230 controls the operation of the motor 210 and the sliding door 220. The control unit 230 outputs multiple types of operation data, such as physical quantities related to the control of the platform door 200 or physical quantities indicating the state of the platform door 200, to the condition diagnosis device 100. Note that the operation data output by the platform door 200 may be linked to ID information of the platform door 200 so that the platform door 200 can be identified, and output to the condition diagnosis device 100.

[0018] Next, the configuration of the status diagnosis device 100 will be described with reference to Figures 3 to 5. As shown in Figure 3, the status diagnosis device 100 for platform doors in the status diagnosis system 1000 includes a base data acquisition unit 1, a test platform door reference value construction unit 2, a target platform door reference value construction unit 3, an abnormality determination reference value construction unit 4, an in-operation status information acquisition unit 5, a diagnosis target data calculation unit 6, a diagnosis unit 7, and an output unit 8.

[0019] 4 is a hardware configuration diagram of a condition diagnosis device 100 according to the present disclosure. The condition diagnosis device 100 is configured to include a processor 110 such as a CPU (Central Processing Unit), a memory 120 such as a RAM (Random Access Memory), a display 130, and an input interface (I / F) 140. The test platform door reference value construction unit 2, the target platform door reference value construction unit 3, the abnormality determination reference value construction unit 4, the in-operation status information acquisition unit 5, the diagnosis target data calculation unit 6, and the diagnosis unit 7 are realized by the processor 110 executing a program stored in the memory 120. However, these may also be realized, for example, by a plurality of processors 110 working together.

[0020] The base data acquisition unit 1 acquires base data from operation data inputted by the operation of the platform doors. Here, the operation data inputted to the base data acquisition unit 1 is collected from a test platform door (hereinafter referred to as a "test platform door") that is created by simulating the platform door of the target device in a normal state (hereinafter referred to as a "target platform door"). The base data acquisition unit 1 acquires base data from the operation data collected from the test platform door. Note that the base data refers to physical quantities such as, for example, current values, voltage values, torque command values, vibrations, temperatures, and motor rotation speeds, but is not limited to these. The base data acquisition unit 1 outputs the acquired base data to the test platform door reference value construction unit 2.

[0021] The base data acquisition unit 1 also acquires base data from operation data input by the operation of the target platform door. Here, the base data acquired by the base data acquisition unit 1 from the operation data of the target platform door is data after the target platform door has been installed on the platform of the station where the target platform door is installed and has been opened and closed multiple times. Or, the base data acquisition unit 1 is data after the target platform door has been maintained, installed on the platform of the station, and has been opened and closed multiple times. In other words, the base data acquisition unit 1 acquires base data from operation data after the target platform door has been installed on the platform of the station where the target platform door is installed and has been allowed to settle in. Note that there is no particular restriction on the criteria for determining whether the target platform door has settled in to the platform, but it is preferable to perform opening and closing operations multiple times a day for 10 days, for example.

[0022] The test platform door reference value construction unit 2 calculates the frequency distribution of the base data of the test platform door output by the base data acquisition unit 1, and determines a first reference value from the calculated frequency distribution. The first reference value determined by the test platform door reference value construction unit 2 is a value located ±2σ from the average value of the frequency distribution, where σ is the standard deviation of the frequency distribution. The first reference value determined by the test platform door reference value construction unit 2 may also be determined from the frequency distribution of the base data of the target platform door. The method of determining the first reference value will be explained later using Figure 5.

[0023] The target platform door reference value construction unit 3 calculates the frequency distribution of the base data of the target platform door output by the base data acquisition unit 1, and determines a second reference value from the calculated frequency distribution. The second reference value determined by the target platform door reference value construction unit 3 is a value located ±2σ from the average value of the frequency distribution, where σ is the standard deviation of the frequency distribution. The method of determining the second reference value will be explained later using Figure 5, similar to the method of determining the first reference value.

[0024] The abnormality determination reference value construction unit 4 determines an abnormality determination reference value to be used for diagnosing the state of the platform door from the first reference value determined in the test platform door reference value construction unit 2 and the second reference value determined in the target platform door reference value construction unit 3. The abnormality determination reference value may be a value between the first reference value and the second reference value, and may be, for example, an average value between the first reference value and the second reference value.

[0025] Here, the method of taking the value of the abnormality determination reference value will be described in detail. As described above, the first reference value is a value located at ±2σ from the average value of the frequency distribution of the base data of the test platform door when the standard deviation of the frequency distribution is σ. The second reference value is a value located at ±2σ from the average value of the frequency distribution of the base data of the target platform door. At this time, the abnormality determination reference value construction unit 4 determines the value between the first reference value, i.e., the value located at -2σ from the average value of the frequency distribution of the base data of the test platform door, and the second reference value, i.e., the value located at -2σ from the average value of the frequency distribution of the base data of the target platform door, as the abnormality determination reference value. Similarly, the abnormality determination reference value construction unit 4 determines the value between the first reference value, i.e., the value located at +2σ from the average value of the frequency distribution of the base data of the test platform door, and the second reference value, i.e., the value located at +2σ from the average value of the frequency distribution of the base data of the target platform door, as the abnormality determination reference value.

[0026] The abnormality determination reference value determined in the abnormality determination reference value construction unit 4 may be stored in a storage unit (not shown) or the like. In this case, the storage unit may be provided either inside or outside the platform door status diagnosis device 100. Also, without providing a storage unit or the like, the abnormality determination reference value may be deposited in an external server and retrieved as needed.

[0027] The in-operation status information acquisition unit 5 acquires in-operation status information, which is status information of the target platform door during operation. Here, the in-operation status information refers to base data acquired from operational data during operation of the target platform door installed on a station platform. Therefore, the in-operation status information is base data of the target platform door acquired after the base data of the target platform door used when the target platform door reference value construction unit 3 calculates the frequency distribution. The in-operation status information acquired by the in-operation status information acquisition unit 5 is output to the diagnosis target data calculation unit 6. Note that the base data acquisition unit 1 may acquire the in-operation status information. In that case, the in-operation status information acquisition unit 5 is not necessary.

[0028] The diagnostic target data calculation unit 6 calculates a frequency distribution from the operation status information. Specifically, the diagnostic target data calculation unit 6 calculates a frequency distribution from the operation status information, which is base data for the target platform door obtained by operating the target platform door normally. The calculated frequency distribution is output to the diagnosis unit 7.

[0029] The diagnosis unit 7 performs a state diagnosis of the target platform door using the frequency distribution and the abnormality judgment reference value calculated in the diagnosis target data calculation unit 6. That is, the diagnosis unit 7 refers to the abnormality judgment reference value determined in the abnormality judgment reference value construction unit 4, and judges whether or not the frequency distribution calculated in the diagnosis target data calculation unit 6 is within the range of the abnormality judgment reference value.

[0030] If the frequency distribution calculated by the diagnosis target data calculation unit 6 is within the range of the abnormality judgment reference value, the diagnosis unit 7 determines that the target platform door is normal. On the other hand, if the frequency distribution calculated by the diagnosis target data calculation unit 6 is outside the range of the abnormality judgment reference value, the diagnosis unit 7 determines that the target platform door is abnormal and outputs the determination result to the output unit. This makes it possible to determine whether the platform door is abnormal.

[0031] The output unit 8 notifies the result of the judgment made by the diagnosis unit 7. The method of notification may be a display on a display unit (not shown) or a sound or light emission, but is not particularly limited. In addition, the diagnosis unit 7 described in this embodiment only outputs the result of the judgment made when there is an abnormality in the platform door, but the diagnosis unit 7 may also be configured to output the result of the judgment made when the platform door is normal, and the output unit 8 may notify the result of the judgment.

[0032] Here, a method for determining the first reference value and the second reference value will be described with reference to Fig. 5. Fig. 5 shows a frequency distribution calculated by the test platform door reference value construction unit 2 from the base data of the test platform door. The horizontal axis represents the feature amount, and the vertical axis represents the frequency. Here, the feature amount refers to the characteristics of the fluctuations in the time series data.

[0033] When the standard deviation of the frequency distribution shown in Figure 5 is σ, the test platform door reference value construction unit 2 determines the value located ±2σ from the average value of the frequency distribution as the first reference value. Here, the average value of the frequency distribution refers to the most frequently occurring value. Note that the frequency distribution shown in Figure 5 is not a normal distribution, but a normal distribution may be acceptable. The method for determining the second reference value is the same as that for the first reference value, so a description thereof will be omitted.

[0034] Next, the operation of the condition diagnosis device 100 will be described with reference to Fig. 6. Fig. 6 shows a frequency distribution calculated by the test platform door reference value construction unit 2 from the base data of the test platform door output from the base data acquisition unit 1.

[0035] In step S1, the base data acquisition unit 1 acquires base data from operation data obtained by operating the test platform door. The base data acquired by the base data acquisition unit 1 is output to the test platform door reference value construction unit 2.

[0036] In step S2, the test platform door reference value construction unit 2 calculates a frequency distribution from the base data related to the test platform door output by the base data acquisition unit 1, and determines a first reference value. If the standard deviation of the calculated frequency distribution is σ, the test platform door reference value construction unit 2 determines a value located ±2σ away from the average value of the frequency distribution as the first reference value. The test platform door reference value construction unit 2 outputs the determined first reference value to the abnormality determination reference value construction unit 4. Note that the first reference value determined by the test platform door reference value construction unit 2 may be stored in a memory unit (not shown) rather than being output directly to the abnormality determination reference value construction unit 4.

[0037] In step S3, the base data acquisition unit 1 acquires base data from operation data obtained by operating the target platform door installed on the station platform. The base data acquired by the base data acquisition unit 1 is output to the target platform door reference value construction unit 3.

[0038] In step S4, the target platform door reference value construction unit 3 calculates a frequency distribution from the base data related to the target platform door output by the base data acquisition unit 1, and determines a second reference value. If the standard deviation of the calculated frequency distribution is σ, the target platform door reference value construction unit 3 determines a value located ±2σ away from the average value of the frequency distribution as the second reference value. The target platform door reference value construction unit 3 outputs the determined second reference value to the abnormality determination reference value construction unit 4. Note that, like the first reference value, the second reference value determined by the target platform door reference value construction unit 3 may be stored in a memory unit (not shown) rather than being output directly to the abnormality determination reference value construction unit 4.

[0039] In step S5, the abnormality determination reference value construction unit 4 determines an abnormality determination reference value for determining an abnormality in the platform door from the first reference value determined by the test platform door reference value construction unit 2 in step S2 and the second reference value determined by the target platform door reference value construction unit 3 in step S4. Note that the method by which the abnormality determination reference value construction unit 4 determines the abnormality determination reference value from the first reference value and the second reference value has been described above and will not be explained here, but the abnormality determination reference value is determined to be a value between the first reference value and the second reference value. The abnormality determination reference value construction unit 4 outputs the determined abnormality determination reference value to the diagnosis unit 7. The abnormality determination reference value may be stored in a memory unit (not shown) or the like.

[0040] In step S6, the in-operation status information acquisition unit 5 acquires in-operation status information from the target platform door in operation. Specifically, the in-operation status information acquisition unit 5 acquires in-operation status information, which is base data, from operation data acquired from the target platform door in operation installed on the station platform. The in-operation status information acquired by the in-operation status information acquisition unit 5 is output to the diagnosis target data calculation unit 6.

[0041] In step S6, the diagnostic object data calculation unit 6 calculates a frequency distribution from the in-operation state information output from the in-operation state information acquisition unit 5. The diagnostic object data calculation unit 6 outputs the calculated frequency distribution to the diagnosis unit .

[0042] In step S7, the diagnosis unit 7 compares the frequency distribution output from the diagnosis target data calculation unit 6 with the abnormality judgment reference value determined in the abnormality judgment reference value construction unit 4, and judges whether the frequency distribution is within the range of the abnormality judgment reference value. If the diagnosis unit 7 judges that the frequency distribution is within the range of the abnormality judgment reference value, it judges that the target platform door is normal, and returns to step S6.

[0043] In step S8, if the diagnosis unit 7 determines that the frequency distribution is outside the range of the abnormality judgment reference value, it determines that the target platform door is abnormal, and outputs the judgment result to the output unit 8. The output unit 8 notifies the judgment result output from the diagnosis unit 7.

[0044] As described above, the condition diagnosis device 100 according to this embodiment determines a first reference value from the frequency distribution of base data of a test platform door created by simulating the target platform door that is to be diagnosed, and determines an abnormality judgment reference value from the first reference value and a second reference value determined from the frequency distribution of the base data of the target platform door after it has been installed on a station platform. This makes it possible to more accurately diagnose the condition of the platform door while reducing the effort required to calculate the reference value, compared to determining the reference value used for abnormality diagnosis only from the base data of the target platform door after it has been installed on a station platform.

[0045] Embodiment 2 This embodiment will be described with reference to Fig. 7 to Fig. 10. Fig. 7 is a schematic diagram of a state diagnosis device for platform doors according to this embodiment. Fig. 8 is a diagram showing an example of a frequency distribution according to this embodiment. Fig. 9 is a diagram showing an example of a frequency distribution according to this embodiment. Fig. 10 is a diagram showing an example of a frequency distribution according to this embodiment.

[0046] In the first embodiment, a condition diagnosis device 100 is shown which determines a first reference value from base data acquired from a test platform door created by simulating a target platform door in a normal state, a second reference value from base data acquired from a target platform door after installation on a station platform, and determines an abnormality determination reference value, which is a reference value for judging an abnormality in the platform door from the first reference value and the second reference value. In the second embodiment, a condition diagnosis device 101 is shown in which a test platform door reference value construction unit 2a determines a first reference value using not only base data acquired from a test platform door created by simulating a target platform door in a normal state, but also base data acquired from a test platform door created by simulating a target platform door in an abnormal state. Other configurations are the same as those in the first embodiment, and the same numbers are used for the same configurations as those in the first embodiment, and description thereof will be omitted.

[0047] 7, the status diagnosis device 101 according to this embodiment includes a base data acquisition unit 1, a test platform door reference value construction unit 2a, a target platform door reference value construction unit 3, an abnormality determination reference value construction unit 4, an in-operation status information acquisition unit 5, a diagnosis target data calculation unit 6, a diagnosis unit 7, and an output unit 8. The test platform door reference value construction unit 2a and the abnormality determination reference value construction unit 4 will be described below.

[0048] The test platform door reference value construction unit 2a determines a first reference value using the base data of the test platform door created by simulating the target platform door in a normal state and the base data of the test platform door created by simulating the target platform door in an abnormal state, both of which are acquired by the base data acquisition unit 1. Details will be described with reference to Figs. 8 and 9.

[0049] Figure 8 shows the frequency distribution of base data of a test platform door created by simulating a target platform door in a normal state (hereinafter referred to as the "normal frequency distribution") and the frequency distribution of base data of a test platform door created by simulating a target platform door in an abnormal state (hereinafter referred to as the "abnormal frequency distribution"). The dashed line indicates the abnormal frequency distribution, and the solid line indicates the normal frequency distribution. The test platform door reference value construction unit 2a calculates the frequency distribution of the base data of the test platform door simulating a normal state and the base data of the test platform door simulating an abnormal state, and determines a first reference value from the calculated frequency distributions.

[0050] Regarding the method of determining the first reference value, when each frequency distribution is calculated as shown in Fig. 8, the test platform door reference value construction unit 2a determines the value at a position 2σ away from the average value of the normal frequency distribution and the value of the intersection of the normal frequency distribution and the abnormal frequency distribution as the first reference value, where σ is the standard deviation of the normal frequency distribution.

[0051] Also, cases may be considered in which the frequency distributions calculated by the test platform door reference value construction unit 2a are as shown in Figure 9. In this case, the test platform door reference value construction unit 2a determines the value at a position -2σ away from the average value of the normal frequency distribution and the value of the intersection of the normal frequency distribution and the abnormal frequency distribution as the first reference value. As described above, the test platform door reference value construction unit 2a determines the first reference value, and outputs the first reference value to the abnormality determination reference value construction unit 4. The first reference value may be stored in a memory unit or the like.

[0052] The abnormality determination reference value construction unit 4 determines an abnormality determination reference value for determining an abnormality in the platform door from the first reference value determined in the test platform door reference value construction unit 2a and the second reference value determined in the target platform door reference value construction unit 3. The details will be described with reference to Fig. 10.

[0053] In addition to the normal frequency distribution and abnormal frequency distribution shown in FIG. 8, FIG. 10 shows a frequency distribution calculated from the base data of the target platform door with a solid line thicker than the solid line showing the normal frequency distribution. When the standard deviation of the frequency distribution shown by the thick solid line is σ', the target platform door reference value construction unit 3 determines a value located at ±2σ' from the average value of the frequency distribution as the second reference value. The abnormality determination reference value construction unit 4 determines the abnormality determination reference value using the first reference value determined by the test platform door reference value construction unit 2a and the second reference value determined by the target platform door reference value construction unit 3. The abnormality determination reference value is the value of the shaded part shown in FIG. 10. That is, the abnormality determination reference value construction unit 4 determines the value located between the first reference value and the second reference value as the abnormality determination reference value. The abnormality determination reference value may be the average value of the first reference value and the second reference value. In this case, the average value of the values ​​at both ends of the two shaded parts shown in FIG. 10 becomes the abnormality determination reference value.

[0054] As described above, the condition diagnosis device 101 according to the present embodiment includes a test platform door reference value construction unit 2a that determines a first reference value from a frequency distribution calculated from a database of test platform doors created by simulating a target platform door in a normal state and a database of test platform doors created by simulating a target platform door in an abnormal state. By including this configuration, it is possible to improve the diagnosis accuracy compared to the condition diagnosis device 100 according to the first embodiment.

[0055] Embodiment 3 This embodiment will be described with reference to Fig. 11 to Fig. 13. Fig. 11 is a schematic diagram of a status diagnosis device for platform doors according to this embodiment. Fig. 12 is a diagram showing the correspondence between test platform doors and the degree of abnormality according to this embodiment. Fig. 13 is an example of a diagnosis result from the diagnosis unit of the status diagnosis device according to this embodiment.

[0056] In the second embodiment, a condition diagnosis device 101 is shown which determines the first reference value using a database of test platform doors created by simulating a target platform door in an abnormal state when determining the first reference value. In the third embodiment, a condition diagnosis device 102 is shown which is equipped with a test platform door reference value construction unit 2b which determines the first reference value using a database of test platform doors in which abnormal states are divided into stages, each with a different degree of abnormality. The rest of the configuration is the same as in the second embodiment, and the same numbers are used for the same configuration as in the second embodiment, and description thereof will be omitted.

[0057] 7, the status diagnosis device 102 according to this embodiment includes a base data acquisition unit 1, a test platform door reference value construction unit 2b, a target platform door reference value construction unit 3, an abnormality determination reference value construction unit 4, an in-operation status information acquisition unit 5, a diagnosis target data calculation unit 6, a diagnosis unit 7, and an output unit 8. The test platform door reference value construction unit 2b will be described below with reference to FIG.

[0058] Figure 12 shows a table showing the correspondence between the test platform doors and the degree of anomaly. As an example of an anomaly, a loose bolt on the platform door 200 is given. Anomalies A to C show the degree of anomaly, or the seriousness, of the loose bolt, with anomaly C indicating a minor injury and anomaly A indicating a major injury, or a large degree of bolt looseness.

[0059] The test platform door reference value construction unit 2b determines a first reference value based on the frequency distribution and normal frequency distribution of base data acquired by operating the test platform door prepared for each degree of abnormality. For example, in the case of test platform door A to test platform door C shown in FIG. 12, the test platform door reference value construction unit 2b determines three types of first reference values: the frequency distribution and normal frequency distribution of base data acquired by operating test platform door A, the frequency distribution and normal frequency distribution of base data acquired by operating test platform door B, and the frequency distribution and normal frequency distribution of base data acquired by operating test platform door C. Note that the example shown in FIG. 12 is just one example and is not limited to this.

[0060] The abnormality determination reference value constructing unit 4 determines an abnormality determination reference value using the first reference value and the second reference value for each abnormality degree. Therefore, a plurality of abnormality determination reference values ​​are determined for each abnormality degree.

[0061] The diagnosis unit 7 performs diagnosis using the abnormality determination reference value determined for each degree of abnormality. Fig. 13 shows the diagnosis result determined by the diagnosis unit 7. In this way, the diagnosis unit 7 can diagnose not only the presence or absence of an abnormality in the target platform door 200-1 but also the degree of the abnormality.

[0062] As described above, the condition diagnosis device 102 according to this embodiment includes a test platform door reference value construction unit 2b that determines a first reference value based on the frequency distribution and normal frequency distribution of base data acquired by operating test platform doors prepared for each degree of abnormality, and the diagnosis unit 7 performs condition diagnosis using the abnormality judgment reference value determined based on the first reference value. This makes it possible to determine not only the presence or absence of an abnormality but also the degree of the abnormality, enabling more detailed diagnosis to be performed.

[0063] In this embodiment, loose bolts are given as an example of an abnormality, and an example is shown in which test platform doors are prepared for each level of seriousness of loose bolts, but multiple types of abnormalities may be used. There are multiple causes of abnormalities in platform doors, such as tension or looseness of the belt caused by something getting caught in the belt, in addition to loose bolts. Therefore, in addition to test platform doors for determining loose bolts, test platform doors for determining belt tension and other types of abnormalities are prepared.

[0064] The test platform door reference value construction unit 2b determines multiple first reference values ​​from the frequency distribution of base data acquired by operating test platform doors prepared for each type of abnormality and the frequency distribution of base data acquired by operating test platform doors in a normal state. Note that the test platform doors prepared for each type of abnormality may also be created by dividing the severity of each abnormality into stages, as shown in Fig. 12. In this way, by creating test platform doors by type of abnormality and by stage of severity, it is possible to determine both the type and severity of the abnormality in the platform door to be diagnosed.

[0065] Furthermore, although an example has been described in which the severity of an abnormality can be graded for diagnosis, a configuration in which the degree of normality can be graded for diagnosis may also be used. For example, if a status diagnosis is performed on a platform door immediately after maintenance and a platform door in a normal state that is very close to an abnormal state, both will be judged as normal. In such a case, by preparing test platform doors with graded degrees of normality and determining the first reference value as described in this embodiment, the diagnosis unit 7 can also grade and judge the normal state. This makes it possible to know in advance whether maintenance is required.

[0066] Various aspects of the present disclosure are summarized below as appendices.

[0067] (Appendix 1) a test platform door reference value construction unit that calculates a frequency distribution of a test platform door created by simulating a target platform door that is the subject of status diagnosis or base data obtained by operating the target platform door, and determines a first reference value from the frequency distribution; and a target platform door reference value construction unit that calculates a frequency distribution of base data acquired by operating the target platform door after installation on a station platform and determines a second reference value from the frequency distribution; an abnormality determination reference value construction unit that determines an abnormality determination reference value used for state diagnosis from the first reference value and the second reference value; A diagnostic target data calculation unit that calculates a frequency distribution from in-operation status information, which is status information during operation of the target platform door; A diagnosis unit that performs a state diagnosis of the target platform door using the frequency distribution calculated in the diagnosis target data calculation unit and the abnormality determination reference value; A platform door condition diagnosis device equipped with (Appendix 2) The test platform door reference value construction unit of the platform door condition diagnosis device described in Appendix 1 determines the first reference value from the frequency distribution of each of the base data obtained by operating the test platform door in a normal state and the test platform door in an abnormal state. (Appendix 3) The test platform door reference value construction unit of the platform door condition diagnosis device described in Appendix 2 determines a plurality of the first reference values ​​from the frequency distribution of the base data obtained by operating the test platform door prepared for each degree of abnormality and the frequency distribution of the base data obtained by operating the test platform door in a normal state. (Appendix 4) The platform door condition diagnosis device described in Appendix 2 or 3, wherein the test platform door reference value construction unit determines a plurality of the first reference values ​​from the frequency distribution of the base data obtained by operating the test platform door prepared for each type of abnormality and the frequency distribution of the base data obtained by operating the test platform door in a normal state. (Appendix 5) The abnormality determination reference value construction unit determines a value between the first reference value and the second reference value as the abnormality determination reference value. (Appendix 6) The diagnostic unit determines that the target platform door is abnormal if the frequency distribution calculated in the diagnostic target data calculation unit is outside the range of the abnormality judgment reference value. (Appendix 7) calculating a frequency distribution of base data obtained by operating a test platform door created by simulating a target platform door that is the subject of status diagnosis or the target platform door, and determining a first reference value from the frequency distribution; calculating a frequency distribution of base data acquired by operating the target platform door after installation on a station platform, and determining a second reference value from the frequency distribution; determining an abnormality determination reference value used for condition diagnosis from the first reference value and the second reference value; A step of calculating a frequency distribution from in-operation status information which is in-operation status information of the target platform door; A step of diagnosing the state of the target platform door using the frequency distribution calculated from the in-operation state information and the abnormality determination reference value; A method for diagnosing the condition of platform doors. (Appendix 8) A system for diagnosing the status of platform doors using the platform door status diagnosis device described in Supplementary Note 1 to Supplementary Note 6. [Explanation of symbols]

[0068] 100, 101, 102 status diagnosis device, 1 base data acquisition unit, 2, 2a, 2b test platform door reference value construction unit, 3 target platform door reference value construction unit, 4 abnormality judgment reference value construction unit, 5 operation status information acquisition unit, 6 diagnosis target data calculation unit, 7 diagnosis unit, 8 output unit, 110 processor, 120 memory, 130 display, 140 input interface, 200-1 to 200-N platform door, 210-1 to 210-N motor, 220-1 to 220-N sliding door, 230-1 to 230-N control unit, 1000 status diagnosis system

Claims

1. a test platform door reference value construction unit that calculates a frequency distribution of a test platform door created by simulating a target platform door that is the subject of status diagnosis or base data obtained by operating the target platform door, and determines a first reference value from the frequency distribution; and a target platform door reference value construction unit that calculates a frequency distribution of base data acquired by operating the target platform door after installation on a station platform and determines a second reference value from the frequency distribution; an abnormality determination reference value construction unit that determines an abnormality determination reference value used for state diagnosis from the first reference value and the second reference value; A diagnostic target data calculation unit that calculates a frequency distribution from in-operation status information, which is status information during operation of the target platform door; A diagnosis unit that performs a state diagnosis of the target platform door using the frequency distribution calculated in the diagnosis target data calculation unit and the abnormality determination reference value; A platform door condition diagnosis device equipped with

2. The platform door condition diagnosis device of claim 1, wherein the test platform door reference value construction unit determines the first reference value from a frequency distribution of each of the base data obtained by operating the test platform door in a normal state and the test platform door in an abnormal state.

3. The platform door condition diagnosis device of claim 2, wherein the test platform door reference value construction unit determines a plurality of the first reference values ​​from a frequency distribution of the base data obtained by operating the test platform doors each having a different degree of abnormality and a frequency distribution of the base data obtained by operating the test platform door in a normal state.

4. The platform door condition diagnosis device of claim 2 or 3, wherein the test platform door reference value construction unit determines a plurality of the first reference values ​​from a frequency distribution of the base data obtained by operating the test platform doors having different types of abnormalities and a frequency distribution of the base data obtained by operating the test platform door in a normal state.

5. The system for diagnosing the condition of platform doors as described in claim 1, wherein the abnormality determination reference value construction unit determines a value between the first reference value and the second reference value as the abnormality determination reference value.

6. The device for diagnosing a status of a platform door as described in claim 1, wherein the diagnosis unit determines that the target platform door is abnormal when the frequency distribution calculated in the diagnosis target data calculation unit is outside the range of the abnormality judgment reference value.

7. calculating a frequency distribution of base data obtained by operating a test platform door created by simulating a target platform door that is the subject of status diagnosis or the target platform door, and determining a first reference value from the frequency distribution; calculating a frequency distribution of base data acquired by operating the target platform door after installation on a station platform, and determining a second reference value from the frequency distribution; determining an abnormality determination reference value used for condition diagnosis from the first reference value and the second reference value; A step of calculating a frequency distribution from in-operation status information which is in-operation status information of the target platform door; A step of diagnosing the state of the target platform door using the frequency distribution calculated from the in-operation state information and the abnormality determination reference value; A method for diagnosing the condition of platform doors.

8. A system for diagnosing the condition of platform doors using the device for diagnosing the condition of platform doors according to claim 1.

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