JP6813257B2 - Monitoring device - Google Patents

Description

The present invention relates to a technique for monitoring an apparatus.

As a technique for monitoring an apparatus, for example, Patent Document 1 describes a technique for estimating the presence or absence of an abnormality in a sensor node from the distribution of the difference between the reception interval and the transmission interval of the sensor data transmitted from the sensor node to the data management server. It is disclosed.

Japanese Unexamined Patent Publication No. 2013-125312

For example, in a system that controls the running of a train, if it is determined that a problem has occurred in a specific device used in the system, the train is stopped for security. Therefore, if the device is used continuously until a problem occurs, there is a problem that the train operation is hindered.

In view of the above background, it is an object of the present invention to make it possible to take measures to prevent the occurrence of a defect in the device before it occurs.

In order to solve the above-mentioned problems, the present invention determines whether the control information is normal or abnormal from the control information supplied from the outside to the monitored device and supplied from the monitored device, and determines the abnormality during the defect determination period. If the frequency does not satisfy the defect determination condition, processing based on the control information is performed, and if it is satisfied, processing is performed when a defect occurs in the monitored device, and in parallel, a forecast determination period longer than the defect determination period is performed. As the first aspect, a monitoring device for predicting the occurrence of a defect is provided when it is determined whether or not the frequency of abnormality determination in the above condition satisfies the forecast determination condition.
Further, according to the present invention, it is repeatedly determined whether the information representing the operation result of the monitored device is normal or abnormal according to a predetermined standard, and when the frequency of abnormality determination in the defect determination period satisfies the defect determination condition, a defect occurs. When processing is performed and the frequency of abnormality determination in the forecast determination period longer than the defect determination period satisfies the forecast determination condition, the occurrence of the defect is predicted, and the forecast determination condition is set according to the cumulative operating time of the monitored device. A changing monitoring device is provided as a fifth aspect.
Further, according to the present invention, it is repeatedly determined whether the information representing the operation result of the monitored device is normal or abnormal according to a predetermined standard, and when the frequency of abnormality determination in the defect determination period satisfies the defect determination condition, a defect occurs. When processing is performed and the frequency of abnormality determination in the forecast determination period longer than the defect determination period satisfies the forecast determination condition, the occurrence of the defect is predicted, and the forecast determination condition is set according to the number of times the forecast determination condition is satisfied. A monitoring device for changing the above is provided as a sixth aspect.
Further, according to the present invention, it is repeatedly determined whether the information representing the operation result of the monitored device is normal or abnormal according to a predetermined standard, and when the frequency of abnormality determination in the defect determination period satisfies the defect determination condition, a defect occurs. When processing is performed and the frequency of abnormality determination in the forecast determination period longer than the defect determination period satisfies the forecast determination condition, the occurrence of the defect is predicted, and the forecast determination condition is set to the abnormality determination in the period longer than the forecast determination period. A monitoring device that changes according to the frequency of the above is provided as a seventh aspect.

According to the monitoring devices of the first, fifth , sixth , and seventh aspects, it is possible to take measures to prevent the occurrence of a defect in the device before it occurs.
Further, according to the monitoring devices of the fifth , sixth , and seventh aspects, the timing of the forecast can be changed as the possibility of occurrence of a defect changes.

In the monitoring device of the first aspect described above, a configuration in which the control information is train travel control information sequentially supplied from an external device as the train travels may be adopted as the second aspect.
In the monitoring device of the second aspect described above, a configuration in which it is determined whether the control information is normal or abnormal each time the control information is supplied may be adopted as the third aspect.
In the monitoring device according to any one of the first to third aspects, the fourth configuration is that the monitored device is a vehicle-mounted element, and the vehicle-mounted element is supplied with the control information from the ground element. It may be adopted as an aspect of.
In the monitoring device according to any one of the first to seventh aspects described above, when both normal determination and abnormality determination are performed during the defect determination period, the normal content of the information for which the abnormality determination is performed is the normal determination. As the eighth aspect, the configuration may be adopted in which the estimation can be made based on the information obtained by performing the above, and the defect determination condition is satisfied when the abnormality determination is continuous throughout the defect determination period.

According to the monitoring device of the eighth aspect, even if the information representing the operation result is abnormal, it is possible to take measures to prevent the occurrence of a malfunction of the device capable of estimating the normal content of the information. Can be done.

Even if the monitoring device according to any one of the first to eighth aspects described above has a configuration in which the forecast aspect is changed according to the number of times the forecast determination condition is satisfied is adopted as the ninth aspect. Good.

According to the monitoring device of the ninth aspect, it is possible to convey that the possibility of occurrence of a defect is increasing.

Diagram showing the overall configuration of the train control system Diagram showing the composition of the train Diagram showing the detailed configuration of the train control device Diagram showing an example of the tendency of change in permissible speed The figure which shows an example of the judgment result repeatedly performed by the judgment part Diagram showing an example of forecast information displayed when the forecast judgment conditions are met for the first time A diagram showing an example of forecast information displayed when the forecast judgment condition is satisfied for the second time. Diagram showing an example of the operation procedure of the train control device in the travel control process Diagram showing an example of the forecast judgment condition table Diagram showing another example of the forecast judgment condition table Diagram showing another example of the forecast judgment condition table

[1] Example FIG. 1 shows the overall configuration of the train control system 1 according to the embodiment. The train control system 1 is a system for controlling the running of a train, such as ATS (Automatic Train Stop) and ATC (Automatic Train Control). The train control system 1 includes ground elements 3 provided at substantially predetermined intervals along the rail 2. Each ground element 3 transmits a signal representing train control information including permissible speed information of the train 4 traveling on the rail 2 in the direction of the arrow F in the drawing.

FIG. 2 shows the configuration of the train 4. The train 4 includes an on-board element 5, a brake unit 6, and a train control device 10. The brake unit 6 operates the brake to decelerate or stop the train 4. The on-board child 5 receives the signal transmitted by the ground element 3. The reception of this signal may be performed via the rail 2 or may be performed by wireless communication. The on-board child 5 supplies the train control information represented by the received signal to the train control device 10.

The train control device 10 controls the running of the train 4 based on the train control information supplied from the on-board element 5. The train control device 10 is connected to the brake unit 6, and for example, when the speed of the train 4 exceeds the allowable speed indicated by the allowable speed information included in the train control information, the brake unit 6 is made to operate the brake. To decelerate the train 4 to the permissible speed. Further, when the train control information includes information indicating that the traffic light in front is a stop indication, the train control device 10 operates the brake so as to stop the train 4 in front of the traffic light. ..

However, the train control information supplied from the on-board child 5 to the train control device 10 is not always normal. For example, the train control information and train control transmitted by the ground element 3 due to the influence of the disturbance in the communication between the ground element 3 and the on-board element 5 and the disturbance on the transmission path between the on-board element 5 and the train control device 10. Inconsistencies may occur with the train control information supplied to the device 10. Further, the same inconsistency may occur due to a temporary malfunction of the on-board element 5.

In this embodiment, the train control information that is consistent with the train control information transmitted by the ground element 3 is called normal train control information, and the train that is inconsistent with the train control information transmitted by the ground element 3 is called normal train control information. The control information is called abnormal train control information. The train control device 10 controls the running of the train 4 while monitoring the normality / abnormality of the train control information supplied from the on-board element 5 in case such an abnormality (information inconsistency) occurs. The train control device 10 is an example of the "monitoring device" of the present invention.

FIG. 3 shows a detailed configuration of the train control device 10. The train control device 10 includes a determination unit 11, a vehicle speed measurement unit 12, a travel control unit 13, an estimation unit 14, a notification unit 15, and a forecast unit 16. The determination unit 11 repeatedly determines whether the train control information supplied from the on-board child 5 which is the monitoring target (monitored device) described above is normal or abnormal.

For example, the determination unit 11 stores in advance the normal range of the permissible speed represented by the permissible speed information (this is referred to as "normal speed range". For example, the range of 0 km / h or more and the maximum speed of the train 4 or less) on the vehicle. If the speed represented by the permissible speed information supplied from the child 5 is included in the normal speed range, it is determined that the permissible speed information is normal, and if it is not included in the normal speed range, the permissible speed information is included. Is determined to be abnormal. The train control information includes information other than the permissible speed information, but in this embodiment, in order to make the explanation easier to understand, the determination unit 11 determines only normal / abnormal of the permissible speed information, and the permissible speed. If the information is normal, the train control information is also normal, and if the permissible speed information is abnormal, it is determined that the train control information is also abnormal. The determination unit 11 makes this determination each time the train control information is supplied from the on-board element 5.

The train control information supplied from the on-board child 5 to the train control device 10 is the operation of the on-board child 5 of receiving the train control information from the ground element 3 and supplying the received train control information to the train control device 10. It represents the result. That is, the determination unit 11 repeatedly determines whether the information representing the operation result of the on-board child 5 is normal or abnormal in light of a predetermined reference (normal speed range in the above example). The determination unit 11 supplies the determination result and the train control information used for the determination to the travel control unit 13, the estimation unit 14, and the forecast unit 16, respectively, regardless of whether the normal determination or the abnormality determination is performed.

The vehicle speed measuring unit 12 measures the traveling speed of the train 4 based on the number of rotations of the wheels of the train 4 per unit time and the like. The vehicle speed measuring unit 12 supplies the vehicle speed information representing the measurement result to the traveling control unit 13. The travel control unit 13 has, for example, the train 4 described above with respect to the brake unit 6 based on the permissible speed information included in the train control information supplied from the determination unit 11 and the vehicle speed information supplied from the vehicle speed measurement unit 12. The running of the train 4 is controlled by giving instructions for decelerating or stopping the train 4. When the permissible speed information is determined to be normal and the vehicle speed represented by the permissible speed information exceeds the permissible speed represented by the permissible speed information, the travel control unit 13 reduces the vehicle speed to the permissible speed. The brake unit 6 is instructed to decelerate.

The estimation unit 14 uses the permissible speed information determined to be normal included in the train control information supplied from the on-board child 5, and determines that the abnormality is also included in the train control information also supplied from the on-board child 5. Estimate the normal content of the permissible speed information. The estimation unit 14 is, for example, based on the tendency of the allowable speed to change from the time change of the allowable speed represented by a predetermined number of allowable speed information determined to be normal before the abnormality determination is performed. Estimate the normal content of.

FIG. 4 is a diagram for explaining a method of estimating the allowable speed. In FIG. 4, a graph is shown in which the vertical axis indicates the permissible speed and the horizontal axis indicates the time, and the permissible speeds represented by the permissible speed information supplied at the times t1, t2, t3, t4, and t5 are s1, s2. , S3, s4, s5 are represented. Although s1 to s4 are included in the above-mentioned normal speed range, s5 is not included in the normal speed range. In this case, the estimation unit 14 calculates the straight line L1 connecting the permissible speeds s3 and s4 supplied at the times t3 and t4, and calculates s5a which is the value of the straight line L1 at the time t5. It is presumed that s5a is the permissible speed represented by the permissible speed information included in the train control information represented by the signal transmitted by the ground element 3, that is, the normal content of the permissible speed information determined to be abnormal.

The estimation unit 14 uses the train control information including the allowable speed information (that is, the allowable speed information estimated to be normal) representing the calculated s5a as the allowable speed instead of the train control information including the allowable speed information determined to be abnormal. It is supplied to the travel control unit 13. The travel control unit 13 controls the travel of the train 4 described above based on the allowable speed s5a represented by the allowable speed information included in the train control information supplied in this way. In this way, instead of the permissible speed information determined to be abnormal, the running of the train 4 is controlled based on the permissible speed information of the normal content estimated by the estimation unit 14.

It should be noted that, more simply, the estimation unit 14 determines that the permissible speed information that is determined to be normal before the permissible speed information that is determined to be abnormal (if the abnormality determination continues twice, it is determined to be normal two times before). Permissible speed information) may be estimated as the normal content of the permissible speed information determined to be abnormal.

Returning to the description of the traveling control unit 13. The travel control unit 13 determines that a defect has occurred when the frequency of abnormality determination in a specific period satisfies a predetermined condition. The term "fault" as used herein means a state in which the reliability of the operation of the monitored device has deteriorated unacceptably and the use of the monitored device must be stopped immediately. When the travel control unit 13 determines that a defect has occurred in the on-board child 5, it performs a predetermined defect processing. The determined condition used for determining the occurrence of a defect is referred to as a "defect determination condition", and the specific period for determining the frequency of abnormality determination used in this determination is referred to as a "defect determination period".

In this embodiment, as the defect determination period, if the normal determination is not performed even once during that period, the safety required when the running of the train 4 is controlled using the estimation result by the estimation unit 14 can be ensured. However, if the normal determination is made even once during that period, a period during which safety is ensured when the same running control is performed is used. In other words, in this embodiment, when both the normal judgment and the abnormal judgment are performed during the defect judgment period, the normal content of the train control information for which the abnormal judgment is made is subjected to the normal judgment. It is possible to estimate based on train control information.

The term "estimable" as used herein means that the train control system 1 is allowed to use the estimation result. In the train control system 1, the permissible speed changes depending on the degree of bending of the rail, the distance to the next station, the distance to the previous train, etc., but it is sufficient from the ground element 3 so that the change does not become sudden. Train control information is transmitted frequently. Therefore, the permissible speed represented by the permissible speed information repeatedly received by the on-board child 5 also changes gradually, and if the normal judgment is performed even once during the defect judgment period, the estimation result and the true permissible speed information (ground element). The error from the permissible speed information transmitted by 3) is suppressed to a small extent so as not to affect the safety of the train 4.

For this reason, in the train control system 1, the use of the estimation result is permitted when the normal determination is performed even once during the defect determination period. However, if the normal determination is not performed even once during the defect determination period, the use of the estimation result is not allowed as described above, and the estimation by the estimation unit 14 becomes impossible. Therefore, the traveling control unit 13 determines that the defect determination condition is satisfied when the abnormality determination is continuous throughout the defect determination period.

In this embodiment, the period required for the operation by the on-board child 5 (reception of train control information and supply of received train control information to the train control device 10) is performed three times is used as a defect determination period, and is abnormal. The condition satisfied when the determination is made three times in a row is used as the defect determination condition. The interval between the above operations by the on-board element 5 is not constant, and changes depending on conditions such as the interval between the installation locations of the ground element 3 and the speed of the train 4. Therefore, the length of the defect determination period in this embodiment also changes depending on the same conditions.

As a result, if even one of the three consecutive train control information is determined to be normal, even if there is train control information determined to be abnormal, the normal content of the train control information is determined to be normal. It is estimated from the train control information, and the running of the train 4 is controlled. On the other hand, when it is determined that all three consecutive train control information are abnormal, the traveling control unit 13 performs, for example, a process of controlling the brake unit 6 to stop the train 4 as the above-mentioned failure processing.

When the travel control unit 13 or the like provides information to be transmitted to the crew of the train 4, the notification unit 15 notifies the transmitted information. The notification unit 15 has, for example, a liquid crystal display, and displays the provided information to be transmitted (character information, image information, etc.). Further, the notification unit 15 has, for example, a speaker or a lamp, and notifies the information by sounding a sound according to the provided information to be transmitted, lighting or blinking the lamp.

The forecasting unit 16 predicts the occurrence of a defect when the frequency of abnormality determination in a specific period longer than the defect determination period satisfies a predetermined condition. The specific period in which the normal / abnormal determination results used for determining whether or not to perform this forecast are collected is called the "forecast determination period". Further, the determined condition used for determining whether or not to perform the forecast based on the determination result collected in the forecast determination period is referred to as "forecast determination condition". If the defect determination period is, for example, the period required for the above-mentioned operation by the on-board child 5 to be performed three times, the period required for this operation to be performed four times or more is used as the forecast determination period. Be done.

As the forecast judgment condition, a condition that can be satisfied at least before the defect judgment condition is used. In this embodiment, the period required for the on-board child 5 to perform the operation four times is set as the forecast determination period, and the abnormality determination is three or more times out of the four determinations (the frequency of abnormality determination is 3/4). The condition satisfied in the above case is used as the forecast judgment condition. This example will be described with reference to FIG.

FIG. 5 shows an example of the result of the determination repeatedly performed by the determination unit 11. Each of the times t1 to t25 shown in FIG. 5 represents the timing at which the determination unit 11 determines whether the train control information is normal or abnormal. FIG. 5A shows the number of times (hereinafter, referred to as “continuous abnormality determination number”) that the determination result of the determination made up to that timing was a continuous abnormality determination at each timing from time t1 to t25. It is a graph represented.

For example, since the determination result at time t6 is a normal determination and the subsequent determination results at times t7 and t8 are consecutive abnormality determinations, the number of consecutive abnormality determinations at time t8 is "2". In this embodiment, the defect determination condition is satisfied when the number of continuous abnormality determinations becomes "3". Therefore, in the example of FIG. 5, the defect determination condition is satisfied at time t25. As a result, the trouble processing is performed at time t25.

In FIG. 5B, at each timing from time t1 to t25, the cumulative number of abnormality judgments in the judgment results of the timing and the three judgments (four judgments in total) preceding the timing (hereinafter, “cumulative abnormality judgment”). "Number of times"). For example, in the example of FIG. 5, in the determination results of a total of four determinations from time t2 to time t5, the abnormality determination is twice at time t2 and t4. Therefore, the cumulative number of times of abnormality determination at time t5 is "2".

The forecast unit 16 stores, for example, the determination result flag and the cumulative abnormality determination number based on the determination result supplied from the determination unit 11. In this embodiment, the forecast unit 16 determines that the forecast determination condition is satisfied when the cumulative abnormality determination number becomes "3". In the example of FIG. 5, since the cumulative abnormality determination count is “3” at the times t14, t21, and t24, the forecast unit 16 determines that the forecast determination condition is satisfied at these timings. When it is determined that the forecast determination condition is satisfied, the forecast unit 16 provides, for example, forecast information for predicting the occurrence of a defect of the on-board child 5 to the notification unit 15 as the above-mentioned information to be transmitted.

Further, in the example of FIG. 5, the forecast determination condition is satisfied at a plurality of timings t14, t21, and t24 described above. In this embodiment, when the forecast determination condition is satisfied a plurality of times in this way, the forecast unit 16 changes the mode of forecast according to the number of times the forecast determination condition is satisfied. Examples of such changes in mode will be described with reference to FIGS. 6 and 7.

FIG. 6 shows an example of forecast information displayed when the forecast determination condition is satisfied for the first time. In the example of FIG. 6, the text information "There is a possibility that a problem may occur near the on-board child of this train. Early inspection is recommended." Is displayed by the notification unit 15. By notifying (displaying in this example) the forecast information by the notification unit 15 in this way, the occurrence of a defect is predicted. The notification unit 15 may continue to notify the forecast information provided by the forecast unit 16, or may end the notification by the passage of a predetermined time or the operation of the crew. For example, the latter is preferable when the notification is performed by sound.

By predicting the occurrence of a defect as described above, for example, if the time required from the first satisfaction of the forecast determination condition to the satisfaction of the defect determination condition is one day or more, the maintenance staff of the train 4 provides the forecast information. By inspecting or replacing the on-board child 5 promptly after the end of the operation of the train 4 based on the report of the crew member who saw it, the occurrence of a defect can be prevented. As described above, according to the present embodiment, it is possible to take measures to prevent the occurrence of the malfunction of the device before it occurs, and the operation result can be obtained as in the case of the on-board child 5, for example. Even if the information to be represented is abnormal, it is possible to take measures to prevent the occurrence of a malfunction of the device capable of estimating the normal content of the information. Further, in this embodiment, by making the forecast determination period longer than the defect determination period, for example, when the frequency of abnormality determination continues to be on the verge of satisfying the defect determination condition, the forecast of the occurrence of a defect can be predicted. It can be carried out.

FIG. 7 shows an example of the forecast information displayed when the forecast determination condition is satisfied for the second time. In the example of FIG. 7, the text information "There is an increasing possibility that a problem will occur in the on-board child of this train. Be sure to carry out an early inspection." Is displayed on the notification unit 15. From the third time onward, the expression of the character information may be further changed, or the notification unit 15 may be made to notify by sounding, lighting, or blinking of a sound in addition to the character information. In this way, the crew members of the train 4 can know that the possibility of occurrence of a defect is increasing by making forecasts in different modes depending on the number of times the forecast determination conditions are satisfied. It should be noted that the change in the forecast mode is not essential, and the forecast may always be made in the same mode regardless of the number of times the forecast determination condition is satisfied.

Based on the above configuration, each device of the train control system 1 performs a travel control process for controlling the travel of the train 4 according to the monitoring status of the on-board element 5 to be monitored.
FIG. 8 shows an example of the operation procedure of the train control device 10 in the travel control process. This operation procedure is performed every time train control information is supplied from the on-board element 5 to the train control device 10. First, the train control device 10 (determination unit 11) determines whether the train control information is normal or abnormal (step S11). Next, the train control device 10 (vehicle speed measuring unit 12) measures the vehicle speed of the train 4 (step S21).

Subsequently, the train control device 10 (travel control unit 13) determines whether or not the frequency of abnormality determination in the defect determination period satisfies the defect determination condition based on the determination result of the train control information (step S22), and satisfies the condition. If it is determined that there is no (NO), the speed adjustment process is performed (step S23). The speed adjustment process is a process of adjusting the vehicle speed of the train 4, and includes a process of suppressing the vehicle speed to the allowable speed represented by the allowable speed information included in the train control information. When the train control device 10 (travel control unit 13) determines in step S22 that the defect determination condition is satisfied (YES), the train control device 10 (travel control unit 13) performs the above-mentioned defect determination process (step S24).

In parallel with the operations from steps S21 to S24, the train control device 10 (forecast unit 16) first determines whether or not the frequency of abnormality determination in the forecast determination period satisfies the forecast determination condition based on the determination result of the train control information. (Step S31). When the train control device 10 (forecast unit 16 and notification unit 15) determines in step S31 that the forecast determination condition is satisfied (YES), the train control device 10 performs forecast processing (step S32). The forecast process is a process for notifying forecast information as shown in FIGS. 6 and 7, for example. When the train control device 10 determines in step S31 that the forecast determination condition is not satisfied (NO), the train control device 10 ends the operation procedure of FIG. Further, the train control device 10 ends this operation procedure even after the operations of steps S23, S24 and S32 are performed. The operations from steps S21 to S24 and the operations of S31 and S32 may be performed in order rather than in parallel. At that time, any operation may be performed first.

[2] Modifications The above-mentioned examples are merely examples of the implementation of the present invention, and may be modified as follows. Further, the examples and the modified examples may be combined as necessary.

[2-1] Forecast determination condition The forecast unit 16 may change the forecast determination condition. For example, the forecast unit 16 changes the forecast determination condition according to the cumulative operating time of the on-board child 5. In this case, the forecast unit 16 uses a forecast determination condition table in which the cumulative operating time and the forecast determination condition are associated with each other.

FIG. 9 shows an example of the forecast judgment condition table. In the example of FIG. 9, if the cumulative operating time is "less than (durability time x 0.8)", the forecast judgment condition is satisfied when the abnormality judgment is "3 times out of 4 times". .. Similarly, if "(durability time x 0.8) or more (durability time x 0.9)", "3 times out of 5 times", and if "(durability time x 0.9) or more", "6 times" It is shown that the forecast judgment condition is satisfied when it is "3 times in the middle". When the train control device 10 and the on-board child 5 are always operating together, the forecasting unit 16 counts the time elapsed from the time when the new on-board child 5 is installed and uses it as the cumulative operating time.

The forecast unit 16 determines the forecast by using the forecast determination condition associated with the counted cumulative operating time in the forecast determination condition table. In the example of FIG. 9, the forecast determination condition is more likely to be satisfied as the cumulative operating time approaches the endurance time. The closer the cumulative operating time is to the endurance time, the higher the possibility that a defect will occur. Therefore, according to the example of FIG. 9, the higher the possibility of the occurrence of a defect, the higher the possibility that the forecast will be made at an earlier timing. It is possible to reduce the risk that the measures to prevent the occurrence will not be in time.

Further, the forecast unit 16 may change the forecast determination condition according to the number of times the forecast determination condition is satisfied. In this case, the forecast unit 16 uses a forecast determination condition table in which the number of times the forecast determination condition is satisfied and the forecast determination condition are associated with each other.
FIG. 10 shows another example of the forecast judgment condition table. In the example of FIG. 10, it is shown that the forecast determination condition is satisfied when the number of times the forecast determination condition is satisfied is "less than 2 times" and the abnormality determination is "3 times out of 4 times". Similarly, if "2 times or more and less than 5 times", "3 times out of 5 times", and if "5 times or more", "3 times out of 6 times", the forecast judgment condition is satisfied. ing.

The forecast unit 16 counts the number of times each time the forecast determination condition is satisfied, and determines the forecast using the forecast determination condition associated with the counted number of times in the forecast determination condition table. In the example of FIG. 10, as the number of times the forecast determination condition is satisfied increases, the forecast determination condition is more likely to be satisfied. The fact that this number of times increases makes it easier for the train control information supplied from the on-board child 5 to the train control device 10 to be determined to be abnormal, and the possibility that a problem occurs in the on-board child 5 is increasing. it is conceivable that. According to the example of FIG. 10, the forecast is performed at an earlier timing as the possibility of occurrence of a defect increases, and the risk of not being able to take measures to prevent the occurrence of the above-mentioned defect can be reduced.

Further, the forecast unit 16 may change the forecast determination condition according to the frequency of abnormality determination in a period longer than the forecast determination period. This period is a period for determining the forecast determination condition, and is hereinafter referred to as a "condition determination period". As the condition determination period, for example, a period 5 times or 10 times the forecast determination period is used. In this case, the forecast unit 16 uses a forecast determination condition table in which the frequency of abnormality determination in the condition determination period and the forecast determination condition are associated with each other.

FIG. 11 shows another example of the forecast judgment condition table. In the example of FIG. 11, if the frequency of abnormality determination in the condition determination period is "less than 5 times out of 40 times", it is shown that the forecast determination condition is satisfied when the abnormality determination is "3 times out of 4 times". ing. Similarly, the forecast judgment condition is "3 times out of 5 times" if "5 times or more and less than 10 times out of 40 times", and "3 times out of 6 times" if "10 times or more out of 40 times". It is shown to be satisfied.

The forecast unit 16 obtains the frequency of abnormality judgment in the condition judgment period based on the judgment result supplied from the judgment unit 11, and forecasts using the forecast judgment condition associated with the obtained frequency in the forecast judgment condition table. Is judged. In the example of FIG. 11, as the frequency of abnormality determination during the condition determination period increases, it becomes easier to determine that the forecast is performed. It is considered that the fact that this frequency increases increases the possibility that a problem occurs in the on-board child 5 as in the example of FIG. According to the example of FIG. 11, the forecast is performed at an earlier timing as the possibility of occurrence of a defect increases, and the risk of not being able to take measures to prevent the occurrence of the above-mentioned defect can be reduced.

The forecast unit 16 may change the forecast determination condition based on a combination of two or more of the above-mentioned cumulative operating time, the number of times the forecast determination condition is satisfied, and the frequency of abnormality determination in the forecast determination period. In either case, the timing of the forecast can be changed according to the change in the possibility of occurrence of a defect.

[2-2] Defect Judgment Condition The defect judgment condition is not limited to that described in the examples. For example, in the embodiment, the defect determination condition is satisfied when the determination result in the defect determination period is 100% abnormality determination, but when a predetermined ratio such as 80% or 60% is an abnormality determination instead of 100%. The condition satisfying the above may be used as a defect determination condition. For example, the defect determination period is set to 10 times, and the defect determination condition is satisfied when 8 out of 10 times are abnormality determinations.

[2-3] Judgment unit In the embodiment, the judgment unit 11 determines only whether the information (allowable speed information) representing the operation result of the monitored device (vehicle-mounted child 5) is normal or abnormal. Not limited to this, for example, when it is abnormal, the degree of abnormality may be determined. For example, the determination unit 11 determines that the degree of abnormality is "small" if the permissible speed represented by the permissible speed information is larger than the upper limit value of the normal speed range shown in FIG. 4 but 1.5 times or less of the upper limit value. However, if it exceeds 1.5 times the upper limit value or is a negative value, the degree of abnormality is determined to be "large".

In this case, the traveling control unit 13 converts, for example, the abnormality degree "large" into a value of "1.0" and the abnormality degree "small" into a value of "0.5", and the total of the abnormality degrees in the defect determination period sets the threshold value. If it exceeds, it is judged that the defect judgment condition is satisfied. Similarly, the forecast unit 16 also determines that the forecast determination condition is satisfied when the total degree of abnormality in the forecast determination period exceeds the threshold value. As a result, when there is a relationship between the high probability of failure of the monitored device and the degree of abnormality (for example, the higher the degree of abnormality, the higher the possibility of failure), the forecast of failure occurrence is more accurate. Can be done with.

[2-4] Monitoring device and monitoring target In the embodiment, the train control device 10 monitors the on-board child 5 as a monitoring target device (supervised device), but the monitored device is not limited to the on-board child 5. For example, the brake unit 6 may be monitored as a monitored device, or a device mounted on the train 4 which is not shown in FIG. 2 or the like may be monitored as a monitored device. Further, the device (monitoring device) for monitoring the monitored device is not limited to the train control device 10. For example, a device not shown in FIG. 2 or the like mounted on the train 4 may monitor another device as a monitoring device.

Further, the present invention may be applied to a system other than the train control system. For example, it may be applied to a system for controlling the running of a vehicle other than a train, a system for ensuring traffic safety and smoothing a traffic flow such as a signal, a railroad crossing, and a road information bulletin board. Further, the present invention may be applied to a business system used in a factory, a laboratory, a distribution center, or the like. Further, the present invention may be applied to a system in which information determined to be abnormal is used as it is or simply ignored without performing estimation as in the examples.

In short, the present invention can be applied to any monitoring device as long as the monitored device repeatedly operates and the information representing the operation result can determine whether it is normal or abnormal according to a predetermined standard. Is. Further, the content of the trouble processing performed by the monitoring device is not limited to that in the above-described embodiment. For example, in a system that requires high safety, a process of stopping the operation of the monitored device is performed as a process when a problem occurs, and in a system where continuity of operation is important, only notification of the occurrence of a problem is performed as a process when a problem occurs. It suffices to determine the content of the failure processing according to the requirements required for the system, such as not stopping the operation of the monitored device.

[2-5] Tables The tables shown in FIG. 9 and the like are examples, and the data contents and configurations of those tables may be different from those shown in FIGS. 9 and the like. Further, a mathematical formula may be used instead of the table. Taking the table of FIG. 9 as an example, instead of the table of FIG. 9, for example, the value of a certain function whose variable is the cumulative operating time is used as the forecast judgment condition (for example, if the function value is 3/4, 4 times). A configuration (with 3 times as the forecast judgment condition) may be adopted. In short, the format of the data used is not limited as long as the correspondence shown in the illustrated table is specified in FIG. 9 and the like.

[2-6] Category of Invention The present invention is a system (Example) including a monitoring device for monitoring a device such as a train control device 10, a monitoring device thereof, and a monitored device (vehicle element 5 in the embodiment). Then, it can be regarded as a processing method for realizing the processing performed by the train control system) and the monitoring device.

1 ... Train control system, 2 ... Rail, 3 ... Ground element, 4 ... Train, 5 ... On-board element, 6 ... Brake unit, 10 ... Train control device, 11 ... Judgment unit, 12 ... Vehicle speed measurement unit, 13 ... Running Control unit, 14 ... estimation unit, 15 ... notification unit, 16 ... forecast unit.

Claims (9)

Whether the control information is normal or abnormal is determined from the control information supplied to the monitored device from the outside and supplied from the monitored device, and if the frequency of abnormality determination during the defect determination period does not satisfy the defect determination condition, the control If the processing based on the information is performed and satisfied, the processing when a defect occurs in the monitored device is performed, and in parallel, whether or not the frequency of abnormality determination in the forecast determination period longer than the defect determination period satisfies the forecast determination condition. A monitoring device that predicts the occurrence of defects if it is judged and satisfied. The monitoring device according to claim 1, wherein the control information is train travel control information sequentially supplied from an external device as the train travels. The monitoring device according to claim 2, wherein each time the control information is supplied, it is determined whether the control information is normal or abnormal. The monitoring device according to any one of claims 1 to 3, wherein the monitored device is an on-vehicle element, and the on-board element is supplied with the control information from the ground element. Whether the information representing the operation result of the monitored device is normal or abnormal is repeatedly determined according to a predetermined standard, and when the frequency of abnormality determination in the defect determination period satisfies the defect determination condition, processing is performed when a defect occurs, and the above-mentioned defect is performed. A monitoring device that predicts the occurrence of a defect when the frequency of abnormality determination in a forecast determination period longer than the determination period satisfies the forecast determination condition, and changes the forecast determination condition according to the cumulative operating time of the monitored device. Whether the information representing the operation result of the monitored device is normal or abnormal is repeatedly determined according to a predetermined standard, and when the frequency of abnormality determination in the defect determination period satisfies the defect determination condition, processing is performed when a defect occurs, and the above-mentioned defect is performed. A monitoring device that predicts the occurrence of a defect when the frequency of abnormality determination in a forecast determination period longer than the determination period satisfies the forecast determination condition, and changes the forecast determination condition according to the number of times the forecast determination condition is satisfied. Whether the information representing the operation result of the monitored device is normal or abnormal is repeatedly determined according to a predetermined standard, and when the frequency of abnormality determination in the defect determination period satisfies the defect determination condition, processing is performed when a defect occurs, and the above-mentioned defect is performed. When the frequency of abnormality judgment in the forecast judgment period longer than the judgment period satisfies the forecast judgment condition, the occurrence of a defect is predicted, and the forecast judgment condition is changed according to the frequency of abnormality judgment in the period longer than the forecast judgment period. Monitoring device to let. When both the normal judgment and the abnormality judgment are performed during the defect judgment period, the normal content of the information for which the abnormality judgment is performed can be estimated based on the information for which the normal judgment is performed.
The monitoring device according to any one of claims 1 to 7, wherein the defect determination condition is satisfied when the abnormality determination is continuous throughout the defect determination period. The monitoring device according to any one of claims 1 to 8, wherein the mode of the forecast is changed according to the number of times the forecast determination condition is satisfied.

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