JP6027278B2 - Temperature abnormality detection system, temperature abnormality detection method - Google Patents

Temperature abnormality detection system, temperature abnormality detection method Download PDF

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JP6027278B2
JP6027278B2 JP2016046168A JP2016046168A JP6027278B2 JP 6027278 B2 JP6027278 B2 JP 6027278B2 JP 2016046168 A JP2016046168 A JP 2016046168A JP 2016046168 A JP2016046168 A JP 2016046168A JP 6027278 B2 JP6027278 B2 JP 6027278B2
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拓也 大庭
拓也 大庭
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Central Japan Railway Co
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本発明は、一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する技術に関する。   The present invention relates to a technique for detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles.

特許文献１には、軌道走行車両の外部の地上側から床下機器の発熱部位の温度を検知する技術について提案されている。具体的には、地上側に設けられた制御処理装置が備える放射温度計に、車両の通過中には各車輪の軸箱の放射熱を計測させる共に、車両の通過後には校正用発熱体からの放射熱を計測させ、先に計測された各車輪Ｗの計測値を、校正用の計測値を用いて校正する。なお、放射温度計は、車輪の軸箱の放射熱の計測に適した状態に設置され、校正用発熱体からの放射熱は、可動ミラーを用いて放射温度計に導くように構成されている。   Patent Document 1 proposes a technique for detecting the temperature of a heat generating part of an underfloor device from the ground side outside a track traveling vehicle. Specifically, the radiation thermometer provided in the control processing device provided on the ground side measures the radiant heat of the axle box of each wheel during the passage of the vehicle, and from the calibration heating element after the passage of the vehicle. The radiant heat is measured, and the measured value of each wheel W previously measured is calibrated using the measured value for calibration. The radiant thermometer is installed in a state suitable for measuring the radiant heat of the wheel axle box, and the radiant heat from the calibration heating element is guided to the radiant thermometer using a movable mirror. .

特開２００５−２８３２９８号公報JP 2005-283298 A

しかし、校正用計測値の測定に可動ミラーを用いる特許文献１に記載の技術では、可動ミラーに太陽光が入射することによる外乱の影響を回避することができず、正確な測定値を得られないおそれがあった。また、校正用発熱体を用いた校正では、風雨、降雪等の外乱の影響を回避する効果は充分には得られず、正確な測定値を得られないおそれがあった。   However, with the technique described in Patent Document 1 that uses a movable mirror for measurement of calibration measurement values, it is impossible to avoid the influence of disturbance due to the incidence of sunlight on the movable mirror, and accurate measurement values can be obtained. There was no fear. Further, in the calibration using the heating element for calibration, the effect of avoiding the influence of disturbance such as wind and rain and snowfall cannot be obtained sufficiently, and there is a possibility that an accurate measurement value cannot be obtained.

また、特許文献１に記載の技術では、機械ブレーキ等の機器の正常動作による発熱等に起因する外乱の影響を回避することができず、正確な測定値を得られないおそれがあった。   Further, with the technique described in Patent Document 1, it is impossible to avoid the influence of disturbance due to heat generated by normal operation of equipment such as a mechanical brake, and there is a possibility that an accurate measurement value cannot be obtained.

本発明は、このような課題に鑑みなされたものであり、その目的とするところは、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを精度良く検出する技術を提供することにある。   The present invention has been made in view of such a problem, and the object of the present invention is that a temperature abnormality occurs in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle. It is to provide a technique for accurately detecting the presence of the image.

上記課題を解決するためになされた本発明の温度異常検出システムは、一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する温度異常検出システムであって、前記監視対象部位の温度値を取得する温度値取得手段と、前記温度値取得手段が取得した温度値から、軌道上を走行する前記移動体において前記移動体の進行方向に対して相対的に左側となる左側部と相対的に右側となる右側部のそれぞれに配置されている一対の前記監視対象部位の温度差である部位間温度差を前記移動体の編成内の車両毎に算出し、算出した部位間温度差を用いて、前記監視対象部位の温度値に外乱の影響があるか否かを評価するための評価値を算出する評価値算出手段と、前記評価値算出手段が算出した評価値が閾値以上であった場合には前記温度値取得手段が取得した前記監視対象部位の温度値に外乱の影響があると判定し、閾値未満であった場合には前記温度値取得手段が取得した前記監視対象部位の温度値に外乱の影響がないと判定する外乱影響判定手段と、前記外乱影響判定手段による判定結果に基づき前記監視対象部位に温度異常が発生しているか否かを判定する温度異常判定手段と、を備えることを特徴とする。   The temperature abnormality detection system of the present invention made to solve the above problems is a temperature abnormality detection system that detects that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles. The temperature value acquisition means for acquiring the temperature value of the monitoring target part and the temperature value acquired by the temperature value acquisition means relative to the traveling direction of the mobile body in the mobile body traveling on a track. The temperature difference between the parts, which is the temperature difference between the pair of monitoring target parts arranged on the left side on the left side and the right side on the right side relative to each other, is calculated for each vehicle in the formation of the moving body. An evaluation value calculating means for calculating an evaluation value for evaluating whether or not there is an influence of disturbance on the temperature value of the monitoring target part using the calculated inter-part temperature difference, and the evaluation value calculating means The calculated evaluation value is less than or equal to the threshold value If it is, it is determined that the temperature value of the monitoring target part acquired by the temperature value acquisition unit has an influence of disturbance, and if it is less than a threshold value, the monitoring target acquired by the temperature value acquisition unit Disturbance influence determination means for determining that there is no influence of disturbance on the temperature value of the part, and temperature abnormality determination means for determining whether or not a temperature abnormality has occurred in the monitoring target part based on the determination result by the disturbance influence determination means And.

この場合、前記評価値算出手段が、前記部位間温度差の最高値を前記移動体の編成内の車両毎に算出し、算出された最高値の編成内での中央値を前記評価値として算出するようにしてもよい。また、前記評価値算出手段が、前記部位間温度差が一定値以上となる一対の前記監視対象部位が前記移動体の編成内で存在する存在確率を前記評価値として算出するようにしてもよい。また、前記評価値算出手段が、前記部位間温度差が一定値以上となる一対の前記監視対象部位が存在する存在確率を前記移動体の編成内の車両毎に前記評価値として算出するようにしてもよい。   In this case, the evaluation value calculation means calculates the maximum value of the inter-part temperature difference for each vehicle in the knitting of the moving body, and calculates the median value in the knitting of the calculated maximum value as the evaluation value. You may make it do. Further, the evaluation value calculation means may calculate, as the evaluation value, an existence probability that a pair of the monitoring target parts whose temperature difference between the parts is equal to or greater than a certain value exists in the composition of the moving body. . In addition, the evaluation value calculation means calculates, as the evaluation value, the existence probability that there is a pair of the monitoring target parts where the temperature difference between the parts is a certain value or more. May be.

このように構成された本発明の温度異常検出システムによれば、一つ以上の車両から編成される移動体の監視対象部位の温度を監視する際に、部位間温度差を用いて外乱の有無を判定している。このため、校正用の情報を得るために可動ミラーを必要とする従来技術とは異なり、車両外部の校正用発熱体を用いる場合の風雨、降雪等に起因する外乱の影響を受けず、また、太陽光の入射などに起因する外乱の影響についてはその有無を正確に把握できる。その結果、正確な測定値を得ることができる。   According to the temperature abnormality detection system of the present invention configured as described above, when monitoring the temperature of the monitoring target portion of the moving body formed from one or more vehicles, the presence or absence of disturbance using the temperature difference between the portions. Is judged. For this reason, unlike the prior art that requires a movable mirror to obtain calibration information, it is not affected by disturbances caused by wind, rain, snow, etc. when using a calibration heating element outside the vehicle, It is possible to accurately grasp the influence of disturbance caused by the incidence of sunlight. As a result, an accurate measurement value can be obtained.

したがって、本発明の温度異常検出システムによれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを精度良く検出することができる。   Therefore, according to the temperature abnormality detection system of the present invention, it is possible to accurately detect that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle. .

上記課題を解決するためになされた本発明の温度異常検出システムは、一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する温度異常検出システムであって、前記監視対象部位の集合である高温監視部位集合を抽出する集合抽出手段と、前記集合抽出手段によって抽出された前記高温監視部位集合を構成する前記監視対象部位のそれぞれについて、前記監視対象部位に隣接し該監視対象部位での温度上昇の影響を受ける隣接部位での温度値である近傍領域温度を算出する近傍領域温度算出手段と、前記近傍領域温度算出手段によって算出された近傍領域温度の編成内での統計値を算出する統計値算出手段と、前記統計値算出手段によって算出された統計値が閾値以上であった場合には前記集合抽出手段が抽出した高温監視部位集合の近傍領域温度に外乱の影響があると判定し、閾値未満であった場合には前記集合抽出手段が抽出した高温監視部位集合の近傍領域温度に外乱の影響がないと判定する外乱影響判定手段と、前記外乱影響判定手段による判定結果に基づき前記高温監視部位集合に異常が発生しているか否かを判定する異常判定手段と、を備えることを特徴とする。   The temperature abnormality detection system of the present invention made to solve the above problems is a temperature abnormality detection system that detects that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles. And a set extraction means for extracting a set of high temperature monitoring parts which is a set of the monitoring target parts, and a monitoring target for each of the monitoring target parts constituting the high temperature monitoring part set extracted by the set extraction means. A neighboring region temperature calculating means for calculating a neighboring region temperature that is a temperature value in an adjacent portion that is adjacent to the portion and that is affected by the temperature rise in the monitored portion; and the neighboring region temperature calculated by the neighboring region temperature calculating means A statistical value calculating means for calculating a statistical value within the organization of the set, and when the statistical value calculated by the statistical value calculating means is equal to or greater than a threshold value, It is determined that there is an influence of disturbance on the temperature in the vicinity of the high-temperature monitoring part set extracted, and if it is less than the threshold value, there is no influence on the temperature in the vicinity of the high-temperature monitoring part set extracted by the set extraction means. And a disturbance determination unit that determines whether or not an abnormality has occurred in the high-temperature monitoring region set based on a determination result by the disturbance influence determination unit.

このように構成された本発明の温度異常検出システムによれば、一つ以上の車両から編成される移動体の監視対象部位の温度を監視する際に、監視対象部位の集合である高温監視部位集合の近傍領域温度を用いて外乱の有無を判定している。このため、校正用の情報を得るために可動ミラーを必要とする従来技術とは異なり、車両外部の校正用発熱体を用いる場合の風雨、降雪等に起因する外乱の影響を受けず、また、機械ブレーキ等の監視対象部位の近くにある機器の正常動作による発熱等に起因する外乱の影響についてはその有無を正確に把握できる。その結果、正確な測定値を得ることができる。   According to the temperature abnormality detection system of the present invention configured as described above, when monitoring the temperature of the monitoring target part of the moving body formed from one or more vehicles, the high temperature monitoring part that is a set of the monitoring target part The presence / absence of disturbance is determined using the temperature in the vicinity of the set. For this reason, unlike the prior art that requires a movable mirror to obtain calibration information, it is not affected by disturbances caused by wind, rain, snow, etc. when using a calibration heating element outside the vehicle, It is possible to accurately grasp the influence of disturbance caused by heat generated by the normal operation of a device near a monitoring target part such as a mechanical brake. As a result, an accurate measurement value can be obtained.

したがって、本発明の温度異常検出システムによれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを精度良く検出することができる。   Therefore, according to the temperature abnormality detection system of the present invention, it is possible to accurately detect that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle. .

上記課題を解決するためになされた本発明の温度異常検出方法は、一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する温度異常検出方法であって、前記監視対象部位の温度値を取得し、取得した温度値から、軌道上を走行する前記移動体において前記移動体の進行方向に対して相対的に左側となる左側部と相対的に右側となる右側部のそれぞれに配置されている一対の前記監視対象部位の温度差である部位間温度差を前記移動体の編成内の車両毎に算出し、算出した部位間温度差を用いて、前記監視対象部位の温度値に外乱の影響があるか否かを評価するための評価値を算出し、算出した評価値が閾値以上であった場合には取得した前記監視対象部位の温度値に外乱の影響があると判定し、閾値未満であった場合には取得した前記監視対象部位の温度値に外乱の影響がないと判定し、前記判定結果に基づき前記監視対象部位に温度異常が発生しているか否かを判定することを特徴とする。   The temperature abnormality detection method of the present invention made to solve the above problem is a temperature abnormality detection method for detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles. Then, the temperature value of the monitoring target part is acquired, and from the acquired temperature value, the moving body traveling on the track is relatively relative to the left side portion that is relatively left side with respect to the traveling direction of the moving body. A temperature difference between parts, which is a temperature difference between a pair of the monitoring target parts arranged on each of the right side portions which are on the right side, is calculated for each vehicle in the knitting of the moving body, and the calculated temperature difference between parts is used. , Calculating an evaluation value for evaluating whether the temperature value of the monitoring target part has an influence of disturbance, and when the calculated evaluation value is equal to or greater than a threshold value, the acquired temperature value of the monitoring target part Is determined to be affected by disturbance and the threshold is not If it is, it is determined that there is no influence of disturbance on the acquired temperature value of the monitoring target part, and it is determined whether a temperature abnormality has occurred in the monitoring target part based on the determination result. And

このような本発明の温度異常検出方法によれば、一つ以上の車両から編成される移動体の監視対象部位の温度を監視する際に、部位間温度差を用いて外乱の有無を判定している。このため、校正用の情報を得るために可動ミラーを必要とする従来技術とは異なり、車両外部の校正用発熱体を用いる場合の風雨、降雪等に起因する外乱の影響を受けず、また、太陽光の入射などに起因する外乱の影響についてはその有無を正確に把握できる。その結果、正確な測定値を得ることができる。   According to such a temperature abnormality detection method of the present invention, when monitoring the temperature of the monitoring target part of the moving body formed from one or more vehicles, the presence or absence of disturbance is determined using the temperature difference between the parts. ing. For this reason, unlike the prior art that requires a movable mirror to obtain calibration information, it is not affected by disturbances caused by wind, rain, snow, etc. when using a calibration heating element outside the vehicle, It is possible to accurately grasp the influence of disturbance caused by the incidence of sunlight. As a result, an accurate measurement value can be obtained.

したがって、本発明の温度異常検出方法によれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを精度良く検出することができる。   Therefore, according to the temperature abnormality detection method of the present invention, it is possible to accurately detect that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle. .

上記課題を解決するためになされた本発明の温度異常検出方法は、一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する温度異常検出方法であって、前記監視対象部位の集合である高温監視部位集合を前記監視対象部位として抽出し、抽出された前記高温監視部位集合を構成する前記監視対象部位のそれぞれについて、前記監視対象部位に隣接し該監視対象部位での温度上昇の影響を受ける隣接部位での温度値である近傍領域温度を算出し、算出された近傍領域温度の編成内での統計値を算出し、算出された統計値が閾値以上であった場合には抽出した高温監視部位集合の近傍領域温度に外乱の影響があると判定し、閾値未満であった場合には抽出した高温監視部位集合の近傍領域温度に外乱の影響がないと判定し、前記判定結果に基づき前記高温監視部位集合に異常が発生しているか否かを判定することを特徴とする。   The temperature abnormality detection method of the present invention made to solve the above problem is a temperature abnormality detection method for detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles. A high temperature monitoring part set that is a set of the monitoring target parts is extracted as the monitoring target part, and each of the monitoring target parts constituting the extracted high temperature monitoring part set is adjacent to the monitoring target part. A neighborhood area temperature that is a temperature value in an adjacent part that is affected by a temperature rise in the monitoring target part is calculated, a statistical value in the composition of the calculated neighboring area temperature is calculated, and the calculated statistical value is If it is above the threshold, it is determined that there is a disturbance effect on the temperature in the vicinity of the extracted set of high-temperature monitoring parts. If it is less than the threshold, the influence of the disturbance on the temperature in the vicinity of the extracted set of high-temperature monitoring parts Determined not, abnormality in the high-temperature monitoring site set based on the determination result and judging whether occurring.

このような本発明の温度異常検出方法によれば、一つ以上の車両から編成される移動体の監視対象部位の温度を監視する際に、監視対象部位の集合である高温監視部位集合の近傍領域温度を用いて外乱の有無を判定している。このため、校正用の情報を得るために可動ミラーを必要とする従来技術とは異なり、車両外部の校正用発熱体を用いる場合の風雨、降雪等に起因する外乱の影響を受けず、機械ブレーキ等の監視対象部位の近くにある機器の正常動作による発熱等に起因する外乱の影響については、その有無を正しく把握することができる。その結果、正確な測定値を得ることができる。   According to such a temperature abnormality detection method of the present invention, when monitoring the temperature of the monitoring target part of the moving body formed from one or more vehicles, the vicinity of the high temperature monitoring part set that is a set of the monitoring target parts The presence / absence of disturbance is determined using the region temperature. Therefore, unlike conventional technology that requires a movable mirror to obtain calibration information, the mechanical brake is not affected by disturbance caused by wind, rain, snowfall, etc. when a calibration heating element outside the vehicle is used. As for the influence of disturbance due to heat generated by the normal operation of the equipment in the vicinity of the monitored part such as, it is possible to correctly grasp the presence or absence. As a result, an accurate measurement value can be obtained.

したがって、本発明の温度異常検出方法によれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを精度良く検出することができる。   Therefore, according to the temperature abnormality detection method of the present invention, it is possible to accurately detect that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle. .

温度異常検出システムを示す概略構成図である。It is a schematic block diagram which shows a temperature abnormality detection system.

以下に本発明の実施形態を図面とともに説明する。
図１に示す温度異常検出システム１は、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する機能を有する。 Embodiments of the present invention will be described below with reference to the drawings.
The temperature abnormality detection system 1 shown in FIG. 1 has a function of detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle.

［１．温度異常検出システム１の構成の説明］
温度異常検出システム１は、機器温度センサ１１と、列車（編成）検出部１２と、機器部位検出部１３と、データ収集処理部１４と、部位間温度差算出部１５と、編成内太陽光入射判定値算出部１６と、太陽光入射判定閾値記憶部１７と、比較部１８と、太陽光入射判定部１９と、高温監視部位集合抽出部２０と、近傍領域温度算出部２１と、編成内統計値算出部２２と、機器動作判定閾値記憶部２３と、比較部２４と、機器動作判定部２５と、温度異常判定部２６と、を備える。 [1. Description of Configuration of Temperature Abnormality Detection System 1]
The temperature abnormality detection system 1 includes a device temperature sensor 11, a train (knitting) detection unit 12, a device part detection unit 13, a data collection processing unit 14, an inter-part temperature difference calculation unit 15, and sunlight in a composition. Determination value calculation unit 16, sunlight incidence determination threshold storage unit 17, comparison unit 18, sunlight incidence determination unit 19, high temperature monitoring part set extraction unit 20, neighborhood region temperature calculation unit 21, and intra-composition statistics A value calculation unit 22, a device operation determination threshold storage unit 23, a comparison unit 24, a device operation determination unit 25, and a temperature abnormality determination unit 26 are provided.

なお、温度異常検出システム１は、周知のＣＰＵ、ＲＯＭ、ＲＡＭ、入出力回路であるＩ／Ｏおよびこれらの構成を接続するバスラインなどで構成されるコンピュータを搭載しており、このうちのＣＰＵが、データ収集処理部１４、部位間温度差算出部１５、編成内太陽光入射判定値算出部１６、比較部１８、太陽光入射判定部１９、高温監視部位集合抽出部２０、近傍領域温度算出部２１、編成内統計値算出部２２、比較部２４、機器動作判定部２５および温度異常判定部２６として機能し、ＲＡＭが太陽光入射判定閾値記憶部１７および機器動作判定閾値記憶部２３として機能する。   The temperature abnormality detection system 1 is equipped with a known CPU, ROM, RAM, I / O that is an input / output circuit, and a bus line that connects these components, among which a CPU The data collection processing unit 14, the inter-part temperature difference calculation unit 15, the in-composition sunlight incidence determination value calculation unit 16, the comparison unit 18, the sunlight incidence determination unit 19, the high temperature monitoring site set extraction unit 20, and the neighborhood region temperature calculation Functions as the unit 21, the in-composition statistical value calculation unit 22, the comparison unit 24, the device operation determination unit 25, and the temperature abnormality determination unit 26, and the RAM functions as the sunlight incidence determination threshold storage unit 17 and the device operation determination threshold storage unit 23. To do.

また、ＣＰＵは、ＲＯＭおよびＲＡＭに記憶された制御プログラムおよびデータにより制御を行なう。ＲＯＭは、プログラム格納領域とデータ記憶領域とを有している。プログラム格納領域には制御プログラムが格納され、データ記憶領域には制御プログラムの動作に必要なデータが格納されている。また、制御プログラムは、ＲＡＭ上にてワークメモリを作業領域とする形で動作する。   Further, the CPU performs control according to control programs and data stored in the ROM and RAM. The ROM has a program storage area and a data storage area. A control program is stored in the program storage area, and data necessary for the operation of the control program is stored in the data storage area. In addition, the control program operates on the RAM in a form in which the work memory is a work area.

［１．１．機器温度センサ１１の構成の説明］
機器温度センサ１１は、線路（軌道）が敷設された地上側に、線路を走行する列車の両側方それぞれに対応して配置され、監視対象部位の放射熱を検知して監視対象部位の温度値を測定する。より具体的には、機器温度センサ１１は、筐体の内部に赤外線放射温度計を内蔵する構成を有しており、赤外線放射温度計が、温度を有する物体が放射する赤外線の強さ（エネルギー量）を検知することにより、線路を通過する列車の各車両の監視対象部位の温度を、非接触で計測する。なお、監視対象部位は、温度異常が発生しているか否かを監視すべき対象となる部位である。各監視対象部位は、列車の一部であり、軌道上を走行する列車において列車の進行方向に対して相対的に左側となる左側部と相対的に右側となる右側部のそれぞれに配置されて一対となっている。一対の監視対象部位は、車両毎に一つ以上ずつ設定される。監視対象部位の具体例としては、軸箱や車軸、列車の床下に設置される床下機器、などが挙げられる。また、軸箱や車軸、列車の床下に設置される床下機器などの温度異常を検知するために、列車の車体の外表面、列車の台車の外表面などを監視対象部位として、その温度値を測定するようにしてもよい。また、監視対象部位は、列車の運行時に高温となるためにその温度を監視する必要がある部位である高温監視部位にも該当する。また、本実施形態では、線路を走行する列車の両側方それぞれに対応して配置された二つのセンサを総称して機器温度センサ１１と呼ぶこととする。また、機器温度センサ１１の代わりに、列車に温度センサを設置して監視対象部位の温度値を測定するようにしてもよい。 [1.1. Description of Configuration of Device Temperature Sensor 11]
The equipment temperature sensor 11 is disposed on the ground side where the track (track) is laid, corresponding to each side of the train traveling on the track, and detects the radiant heat of the monitored portion to detect the temperature value of the monitored portion. Measure. More specifically, the device temperature sensor 11 has a configuration in which an infrared radiation thermometer is built in the housing, and the infrared radiation thermometer is adapted to the intensity of infrared rays (energy) emitted from an object having temperature. By detecting the amount), the temperature of the monitored part of each vehicle of the train passing through the track is measured in a non-contact manner. Note that the monitoring target part is a part to be monitored whether or not a temperature abnormality has occurred. Each monitoring target part is a part of the train, and is arranged on each of the left side relatively on the left side and the right side relatively on the right side in the traveling direction of the train in the train traveling on the track. It is a pair. One or more pairs of monitoring target parts are set for each vehicle. Specific examples of the monitoring target part include an axle box, an axle, and an underfloor device installed under the floor of a train. In addition, in order to detect temperature abnormalities such as axle boxes, axles, and underfloor equipment installed under the train floor, the outer surface of the train's car body, the outer surface of the train carriage, etc. are used as monitored parts, and the temperature value is set. You may make it measure. In addition, the monitoring target part corresponds to a high-temperature monitoring part that is a part that needs to be monitored because the temperature becomes high during train operation. In the present embodiment, the two sensors arranged corresponding to the both sides of the train traveling on the track are collectively referred to as the device temperature sensor 11. Moreover, you may make it install the temperature sensor in a train instead of the apparatus temperature sensor 11, and measure the temperature value of the monitoring object site | part.

なお、この機器温度センサ１１は、ＣＰＵからの指示に従って、予め設定された測定開始時刻になると上述の測定を開始し、予め設定された測定終了時刻になると測定を終了する。そして、機器温度センサ１１は、測定した監視対象部位の温度値をデータ収集処理部１４に出力する。   The device temperature sensor 11 starts the above-described measurement at a preset measurement start time according to an instruction from the CPU, and ends the measurement at a preset measurement end time. Then, the device temperature sensor 11 outputs the measured temperature value of the monitoring target part to the data collection processing unit 14.

なお、機器温度センサ１１は、温度値取得手段に該当する。
［１．２．列車（編成）検出部１２の構成の説明］
列車（編成）検出部１２は、線路を通過する列車の編成番号を検出する。具体的には、編成の車体に貼り付けたＩＣカードに編成名が登録されていて、列車通過時に地上に設けられた図示しないアンテナによって情報を受信し、編成名を当該列車（編成）検出部１２に読み込むようになっている。 The device temperature sensor 11 corresponds to a temperature value acquisition unit.
[1.2. Description of configuration of train (composition) detection unit 12]
The train (train) detection unit 12 detects the train number of the train passing through the track. Specifically, the train name is registered in an IC card affixed to the train body, information is received by an antenna (not shown) provided on the ground when the train passes, and the train name is detected by the train (train) detection unit. 12 is read.

［１．３．機器部位検出部１３の構成の説明］
機器部位検出部１３は、車輪のフランジ部が近接すると信号を出力し、非接触で車輪の通過タイミングを精度良く検知可能である。なお、このような非接触での検出手法としては、例えば高周波誘導方式や光電方式が挙げられる。 [1.3. Description of Configuration of Device Part Detection Unit 13]
The device part detection unit 13 outputs a signal when the flange portion of the wheel comes close, and can accurately detect the passing timing of the wheel without contact. Examples of such a non-contact detection method include a high frequency induction method and a photoelectric method.

［１．４．データ収集処理部１４の構成の説明］
データ収集処理部１４は、機器温度センサ１１からの出力信号、列車検出部１２からの出力信号、機器部位検出部１３からの出力信号に基づき各種演算を実行して、通過する列車の車種、監視対象部位が設置される号車番号、監視対象部位の一例である軸箱の軸位、および監視対象部位が設置される側が海側か山側の区別を判断し、その判断結果を部位間温度差算出部１５および比較部１８に出力する。また、データ収集処理部１４は、太陽光入射判定閾値記憶部１７および機器動作判定閾値記憶部２３との間でデータのやり取りが可能であり、上述の判断結果を太陽光入射判定閾値記憶部１７や機器動作判定閾値記憶部２３に出力して記憶させたり、太陽光入射判定閾値記憶部１７や機器動作判定閾値記憶部２３が記憶する各種データを読み出して部位間温度差算出部１５および比較部１８に出力したりする。 [1.4. Description of Configuration of Data Collection Processing Unit 14]
The data collection processing unit 14 performs various calculations based on the output signal from the equipment temperature sensor 11, the output signal from the train detection unit 12, and the output signal from the equipment part detection unit 13, and the vehicle type of the passing train, monitoring Determine the car number where the target part is installed, the axial position of the axle box that is an example of the monitored part, and whether the side where the monitored part is installed is the sea side or the mountain side, and calculate the temperature difference between the parts The data is output to the unit 15 and the comparison unit 18. Further, the data collection processing unit 14 can exchange data with the sunlight incidence determination threshold value storage unit 17 and the device operation determination threshold value storage unit 23, and the above-described determination result is transmitted to the sunlight incidence determination threshold value storage unit 17. Output to the device operation determination threshold value storage unit 23 and store it, or read various data stored in the sunlight incidence determination threshold value storage unit 17 and the device operation determination threshold value storage unit 23 to calculate the inter-part temperature difference calculation unit 15 and the comparison unit Or output to 18.

［１．５．部位間温度差算出部１５の構成の説明］
部位間温度差算出部１５は、データ収集処理部１４からの判断結果に基づき、機器温度センサ１１が測定した温度値から、一対の監視対象部位の温度差である部位間温度差を算出する。さらに、部位間温度差算出部１５は、部位間温度差の最高値を編成内の車両毎に算出する。 [1.5. Description of Configuration of Inter-Part Temperature Difference Calculation Unit 15]
The inter-part temperature difference calculation unit 15 calculates the inter-part temperature difference, which is the temperature difference between the pair of monitoring target parts, from the temperature value measured by the device temperature sensor 11 based on the determination result from the data collection processing unit 14. Furthermore, the inter-part temperature difference calculation unit 15 calculates the maximum value of the inter-part temperature difference for each vehicle in the train.

なお、部位間温度差算出部１５は、評価値算出手段に該当する。
［１．６．編成内太陽光入射判定値算出部１６の構成の説明］
編成内太陽光入射判定値算出部１６は、編成内で太陽光入射の有無を判定するための判定値を算出する。具体的には、編成内太陽光入射判定値算出部１６は、部位間温度差算出部１５によって算出された最高値の編成内での中央値を算出し、算出した中央値を、編成内で太陽光入射の有無を判定するための判定値とする。判定値は、監視対象部位の温度値に外乱の影響があるか否かを評価するための評価値に該当する。 The inter-part temperature difference calculation unit 15 corresponds to an evaluation value calculation unit.
[1.6. Description of the configuration of the sunlight incidence determination value calculation unit 16 in the composition]
The in-composition sunlight incidence determination value calculation unit 16 calculates a determination value for determining the presence or absence of sunlight in the composition. Specifically, the intra-composition sunlight incidence determination value calculation unit 16 calculates the median value in the composition of the highest value calculated by the inter-part temperature difference calculation unit 15, and calculates the calculated median value in the composition. The determination value is used to determine whether or not sunlight is incident. The determination value corresponds to an evaluation value for evaluating whether or not the temperature value of the monitoring target part is affected by disturbance.

なお、編成内太陽光入射判定値算出部１６は、評価値算出手段に該当する。
［１．７．太陽光入射判定閾値記憶部１７の構成の説明］
太陽光入射判定閾値記憶部１７は、太陽光入射の有無を判定するための閾値を記憶する。この閾値は、データ収集処理部１４によって更新される。また、閾値は、データ収集処理部１４や比較部１８に必要に応じて出力される。なお、閾値については、太陽光入射の有無を判定する観点から予め実験等により設定される。 The in-composition sunlight incidence determination value calculation unit 16 corresponds to an evaluation value calculation unit.
[1.7. Description of configuration of sunlight incidence determination threshold value storage unit 17]
The sunlight incidence determination threshold value storage unit 17 stores a threshold value for determining the presence or absence of sunlight incidence. This threshold is updated by the data collection processing unit 14. The threshold value is output to the data collection processing unit 14 and the comparison unit 18 as necessary. In addition, about a threshold value, it sets beforehand by experiment etc. from a viewpoint of determining the presence or absence of sunlight incidence.

［１．８．比較部１８の構成の説明］
比較部１８は、編成内太陽光入射判定値算出部１６が算出した判定値と、太陽光入射判定閾値記憶部１７が記憶する太陽光入射の有無を判定するための閾値とを比較する。 [1.8. Description of Comparison Unit 18]
The comparison unit 18 compares the determination value calculated by the in-composition sunlight incidence determination value calculation unit 16 with the threshold value for determining the presence / absence of sunlight incidence stored in the sunlight incidence determination threshold value storage unit 17.

［１．９．太陽光入射判定部１９の構成の説明］
太陽光入射判定部１９は、比較部１８による比較結果に基づき、移動体の監視対象部位の温度を監視する際の外乱の影響の有無を判定する。具体的には、太陽光入射判定部１９は、編成内太陽光入射判定値算出部１６が算出した判定値が、太陽光入射判定閾値記憶部１７が記憶する太陽光入射の有無を判定するための閾値以上であった場合には、移動体の監視対象部位の温度を監視する際に太陽光による外乱の影響があったと判定する。これは、列車の左右の何れか一方から列車の床下に太陽光が入射すると、その太陽光が入射された側の監視対象部位の温度が、異常がないにも拘らず上昇することによる。一方、太陽光入射判定部１９は、編成内太陽光入射判定値算出部１６が算出した判定値が、太陽光入射判定閾値記憶部１７が記憶する太陽光入射の有無を判定するための閾値未満であった場合には、移動体の監視対象部位の温度を監視する際に太陽光による外乱の影響が無かったと判定する。 [1.9. Description of Configuration of Sunlight Incident Determination Unit 19]
The sunlight incidence determination unit 19 determines whether or not there is an influence of disturbance when monitoring the temperature of the monitoring target part of the moving body based on the comparison result by the comparison unit 18. Specifically, the sunlight incidence determination unit 19 determines whether or not the sunlight incidence determination threshold value storage unit 17 stores the sunlight incident based on the determination value calculated by the in-composition sunlight incidence determination value calculation unit 16. When the temperature is equal to or greater than the threshold value, it is determined that there is an influence of disturbance caused by sunlight when the temperature of the monitoring target part of the moving object is monitored. This is because when sunlight enters the train floor from either the left or right side of the train, the temperature of the monitoring target part on the side where the sunlight is incident rises despite no abnormality. On the other hand, the sunlight incidence determination unit 19 has a determination value calculated by the in-composition sunlight incidence determination value calculation unit 16 that is less than the threshold for determining the presence or absence of sunlight incident stored in the sunlight incident determination threshold storage unit 17. If it is, it is determined that there is no influence of disturbance due to sunlight when monitoring the temperature of the monitoring target part of the moving object.

なお、太陽光入射判定部１９は、外乱影響判定手段に該当する。
［１．１０．高温監視部位集合抽出部２０の構成の説明］
高温監視部位集合抽出部２０は、機器温度センサ１１からの出力信号、列車検出部１２からの出力信号、機器部位検出部１３からの出力信号に基づき各種演算を実行して、監視対象部位の集合である高温監視部位集合を抽出する。 The sunlight incidence determination unit 19 corresponds to disturbance influence determination means.
[1.10. Description of the configuration of the high temperature monitoring site set extraction unit 20]
The high-temperature monitoring part set extraction unit 20 executes various calculations based on the output signal from the equipment temperature sensor 11, the output signal from the train detection part 12, and the output signal from the equipment part detection part 13, and collects a set of monitoring target parts. A set of high-temperature monitoring parts that are is extracted.

なお、高温監視部位集合抽出部２０は集合抽出手段に該当する。
［１．１１．近傍領域温度算出部２１の構成の説明］
近傍領域温度算出部２１は、高温監視部位集合抽出部２０によって抽出された高温監視部位集合の近傍領域温度を算出する。ここで、近傍領域温度とは、高温監視部位集合を構成する監視対象部位のそれぞれについて、監視対象部位に隣接し該監視対象部位での温度上昇の影響を受ける隣接部位での温度値を云う。 The high-temperature monitoring part set extraction unit 20 corresponds to a set extraction unit.
[1.11. Description of configuration of neighborhood region temperature calculation unit 21]
The neighborhood region temperature calculation unit 21 calculates the neighborhood region temperature of the high temperature monitoring region set extracted by the high temperature monitoring region set extraction unit 20. Here, the neighborhood region temperature refers to a temperature value in an adjacent part that is adjacent to the monitoring target part and is affected by the temperature increase in the monitoring target part for each of the monitoring target parts constituting the high temperature monitoring part set.

なお、近傍領域温度算出部２１は近傍領域温度算出手段に該当する。
［１．１２．編成内統計値算出部２２の構成の説明］
編成内統計値算出部２２は、近傍領域温度算出部２１によって算出された近傍領域温度の編成内での統計値を算出する。ここで、統計値としては、算出された近傍領域温度の編成内での平均値や、算出された近傍領域温度の編成内での中央値、などが挙げられる。 The neighborhood region temperature calculation unit 21 corresponds to a neighborhood region temperature calculation unit.
[1.12. Description of the configuration of the in-composition statistical value calculation unit 22]
The in-knitting statistic calculation unit 22 calculates a statistic value in the knitting of the near region temperature calculated by the near region temperature calculation unit 21. Here, examples of the statistical value include an average value in the knitting of the calculated neighborhood region temperature and a median value in the knitting of the calculated neighborhood region temperature.

なお、編成内統計値算出部２２は統計値算出手段に該当する。
［１．１３．機器動作判定閾値記憶部２３の構成の説明］
機器動作判定閾値記憶部２３は、機器動作が正常であるか否かを判定するための閾値を記憶する。この閾値は、データ収集処理部１４によって更新される。また、閾値は、データ収集処理部１４や比較部２４に必要に応じて出力される。なお、閾値については、機器動作が正常であるか否かを判定する観点から予め実験等により設定される。 The in-composition statistical value calculation unit 22 corresponds to statistical value calculation means.
[1.13. Description of Configuration of Device Operation Determination Threshold Storage Unit 23]
The device operation determination threshold value storage unit 23 stores a threshold value for determining whether the device operation is normal. This threshold is updated by the data collection processing unit 14. The threshold value is output to the data collection processing unit 14 and the comparison unit 24 as necessary. Note that the threshold is set in advance through experiments or the like from the viewpoint of determining whether the device operation is normal.

［１．１４．比較部２４の構成の説明］
比較部２４は、編成内統計値算出部２２が算出した統計値と、機器動作判定閾値記憶部２３が記憶する機器動作が正常であるか否かを判定するための閾値とを比較する。 [1.14. Description of the configuration of the comparison unit 24]
The comparison unit 24 compares the statistical value calculated by the in-composition statistical value calculation unit 22 with a threshold for determining whether the device operation stored in the device operation determination threshold storage unit 23 is normal.

［１．１５．機器動作判定部２５の構成の説明］
機器動作判定部２５は、比較部２４による比較結果に基づき、高温監視部位集合抽出部２０が抽出した高温監視部位集合の近傍領域温度に外乱の影響があったか否かを判定する。具体的には、機器動作判定部２５は、編成内統計値算出部２２が算出した統計値が、機器動作判定閾値記憶部２３が記憶する機器動作が正常であるか否かを判定するための閾値以上であった場合には、高温監視部位集合抽出部２０が抽出した高温監視部位集合の近傍領域温度に外乱の影響があったと判定する。一方、機器動作判定部２５は、編成内統計値算出部２２が算出した統計値が、機器動作判定閾値記憶部２３が記憶する機器動作が正常であるか否かを判定するための閾値未満であった場合には、高温監視部位集合抽出部２０が抽出した高温監視部位集合の近傍領域温度に外乱の影響が無かったと判定する。 [1.15. Description of Configuration of Device Operation Determination Unit 25]
Based on the comparison result by the comparison unit 24, the device operation determination unit 25 determines whether or not there is an influence of disturbance on the temperature in the vicinity of the high temperature monitoring region set extracted by the high temperature monitoring region set extraction unit 20. Specifically, the device operation determination unit 25 determines whether or not the statistical value calculated by the in-composition statistical value calculation unit 22 is normal in the device operation stored in the device operation determination threshold storage unit 23. If it is equal to or greater than the threshold value, it is determined that there is an influence of disturbance on the temperature in the vicinity of the high temperature monitoring region set extracted by the high temperature monitoring region set extraction unit 20. On the other hand, the device operation determination unit 25 has a statistical value calculated by the in-composition statistical value calculation unit 22 that is less than a threshold value for determining whether or not the device operation stored in the device operation determination threshold value storage unit 23 is normal. If there is, it is determined that there is no influence of the disturbance on the temperature in the vicinity of the high temperature monitoring part set extracted by the high temperature monitoring part set extraction unit 20.

なお、機器動作判定部２５は、外乱影響判定手段に該当する。
［１．１６．温度異常判定部２６の構成の説明］
温度異常判定部２６は、太陽光入射判定部１９および機器動作判定部２５による判定結果に基づき温度異常の有無を判定する。 The device operation determination unit 25 corresponds to a disturbance influence determination unit.
[1.16. Description of Configuration of Temperature Abnormality Determination Unit 26]
The temperature abnormality determination unit 26 determines whether or not there is a temperature abnormality based on the determination results by the sunlight incidence determination unit 19 and the device operation determination unit 25.

具体的には、温度異常判定部２６は、太陽光入射判定部１９が移動体の監視対象部位の温度を監視する際に太陽光による外乱の影響がなかったと判定した場合には、取得した監視対象部位の温度値の信頼性が高いと判断して、取得した監視対象部位の温度に基づき温度異常の有無を判定する。一方、温度異常判定部２６は、太陽光入射判定部１９が移動体の監視対象部位の温度を監視する際に太陽光による外乱の影響があったと判定した場合には、取得した監視対象部位の温度値の信頼性が低いと判断して、取得した監視対象部位の温度に基づく温度異常の有無の判定を行わない。   Specifically, the temperature abnormality determination unit 26 acquires the monitoring when the sunlight incidence determination unit 19 determines that there is no influence of disturbance due to sunlight when monitoring the temperature of the monitoring target part of the moving object. It is determined that the temperature value of the target part is highly reliable, and the presence or absence of temperature abnormality is determined based on the acquired temperature of the monitoring target part. On the other hand, if the sunlight incident determination unit 19 determines that there is an influence of disturbance due to sunlight when the sunlight incident determination unit 19 monitors the temperature of the monitoring target part of the moving object, the temperature abnormality determination part 26 It is determined that the reliability of the temperature value is low, and the presence / absence of temperature abnormality based on the acquired temperature of the monitoring target part is not determined.

また、温度異常判定部２６は、機器動作判定部２５が高温監視部位集合の近傍領域温度に外乱の影響がなかったと判定した場合には、取得した高温監視部位集合の温度値の信頼性が高いと判断して、取得した高温監視部位集合の温度に基づき温度異常の有無を判定する。一方、温度異常判定部２６は、機器動作判定部２５が高温監視部位集合の近傍領域温度に外乱の影響があったと判定した場合には、取得した高温監視部位集合の温度値の信頼性が低いと判断して、取得した高温監視部位集合の温度に基づく温度異常の有無の判定を行わない。   In addition, when the device operation determination unit 25 determines that there is no influence of disturbance on the temperature in the vicinity of the high temperature monitoring region set, the temperature abnormality determination unit 26 has high reliability of the acquired temperature value of the high temperature monitoring region set. Therefore, the presence / absence of temperature abnormality is determined based on the acquired temperature of the high-temperature monitoring part set. On the other hand, when the device operation determination unit 25 determines that the temperature of the vicinity region of the high temperature monitoring region set has an influence of disturbance, the temperature abnormality determination unit 26 has low reliability of the acquired temperature value of the high temperature monitoring region set. Therefore, the presence / absence of temperature abnormality based on the acquired temperature of the high-temperature monitoring part set is not determined.

［２．実施形態の効果］
（１）このように本実施形態の温度異常検出システム１によれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位の温度を監視する際に、部位間温度差を用いて外乱の有無を判定している。このため、校正用の情報を得るために可動ミラーを必要とする従来技術とは異なり、車両外部の校正用発熱体を用いる場合の風雨、降雪等に起因する外乱の影響を受けず、また、太陽光の入射などに起因する外乱の影響についてはその有無を正しく把握することができる。その結果、正確な測定値を得ることができる。 [2. Effects of the embodiment]
(1) As described above, according to the temperature abnormality detection system 1 of the present embodiment, when monitoring the temperature of a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle, the inter-part temperature The presence or absence of disturbance is determined using the difference. For this reason, unlike the prior art that requires a movable mirror to obtain calibration information, it is not affected by disturbances caused by wind, rain, snow, etc. when using a calibration heating element outside the vehicle, With regard to the influence of disturbance caused by the incidence of sunlight, it is possible to correctly grasp the presence or absence. As a result, an accurate measurement value can be obtained.

したがって、本実施形態の温度異常検出システム１によれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを精度良く検出することができる。   Therefore, according to the temperature abnormality detection system 1 of the present embodiment, it is possible to accurately detect that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle. Can do.

（２）また、本実施形態の温度異常検出システム１によれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位の温度を監視する際に、監視対象部位の集合である高温監視部位集合の近傍領域温度を用いて外乱の有無を判定している。このため、校正用の情報を得るために可動ミラーを必要とする従来技術とは異なり、車両外部の校正用発熱体を用いる場合の風雨、降雪等に起因する外乱の影響を受けず、また、機械ブレーキ等の監視対象部位の近くにある機器の正常動作による発熱等に起因する外乱の影響については、その有無を正しく把握することができる。その結果、正確な測定値を得ることができる。   (2) Moreover, according to the temperature abnormality detection system 1 of this embodiment, when monitoring the temperature of the monitoring target part of the moving body formed from one or more vehicles such as the track traveling vehicle, the monitoring target part The presence / absence of disturbance is determined using the temperature in the vicinity of the set of high-temperature monitoring parts that is a set. For this reason, unlike the prior art that requires a movable mirror to obtain calibration information, it is not affected by disturbances caused by wind, rain, snow, etc. when using a calibration heating element outside the vehicle, With regard to the influence of disturbance caused by normal operation of a device near the monitoring target site such as a mechanical brake, the presence or absence of the disturbance can be correctly grasped. As a result, an accurate measurement value can be obtained.

したがって、本実施形態の温度異常検出システム１によれば、軌道走行車両などの一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを精度良く検出することができる。   Therefore, according to the temperature abnormality detection system 1 of the present embodiment, it is possible to accurately detect that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles such as a track traveling vehicle. Can do.

［３．他の実施形態］
以上、本発明の一実施形態について説明したが、本発明は上記実施形態に限定されるものではなく、以下のような様々な態様にて実施することが可能である。 [3. Other Embodiments]
As mentioned above, although one Embodiment of this invention was described, this invention is not limited to the said embodiment, It is possible to implement in the following various aspects.

（１）上記実施形態では、部位間温度差算出部１５が、データ収集処理部１４からの判断結果に基づき、機器温度センサ１１が測定した温度値から、部位間温度差の最高値を編成内の車両毎に算出し、最高値の編成内での中央値を判定値として算出し、算出した判定値を用いて監視対象部位の温度値に外乱の影響があるか否かを判定するが、これに限られない。部位間温度差を列車の編成内の車両毎に算出し、算出した部位間温度差を用いて、監視対象部位の温度値に外乱の影響があるか否かを評価するための評価値を算出し、算出した評価値を用いて監視対象部位の温度値に外乱の影響があるか否かを判定する手法であれば、他の手法を用いても良い。例えば、部位間温度差算出部１５が、機器温度センサ１１が測定した温度値から、部位間温度差が一定値以上となる一対の監視対象部位が存在する存在確率を編成内の車両毎に評価値として算出し、算出した評価値を用いて監視対象部位の温度値に外乱の影響があるか否かを判定するようにしてもよい。また、部位間温度差算出部１５が、機器温度センサ１１が測定した温度値から、部位間温度差が一定値以上となる一対の監視対象部位が編成内で存在する存在確率を評価値として算出し、算出した評価値を用いて監視対象部位の温度値に外乱の影響があるか否かを判定するようにしてもよい。一定値については、算出した評価値を用いて監視対象部位の温度値に外乱の影響があるか否かを判定する観点から予め実験等により設定される。この場合、太陽光入射判定部１９は、部位間温度差算出部１５が算出した存在確率が、太陽光入射判定閾値記憶部１７が記憶する太陽光入射の有無を判定するための閾値以上であった場合には、移動体の監視対象部位の温度を監視する際に太陽光による外乱の影響があったと判定する。一方、太陽光入射判定部１９は、部位間温度差算出部１５が算出した存在確率が、太陽光入射判定閾値記憶部１７が記憶する太陽光入射の有無を判定するための閾値未満であった場合には、移動体の監視対象部位の温度を監視する際に太陽光による外乱の影響が無かったと判定する。なお、閾値については、太陽光入射の有無を判定する観点から予め実験等により設定される。   (1) In the above embodiment, the inter-part temperature difference calculation unit 15 determines the maximum value of the inter-part temperature difference from the temperature value measured by the device temperature sensor 11 based on the determination result from the data collection processing unit 14. Is calculated for each vehicle, and the median value in the knitting of the highest value is calculated as a determination value, and it is determined whether there is an influence of disturbance on the temperature value of the monitoring target part using the calculated determination value, It is not limited to this. Calculate the temperature difference between the parts for each vehicle in the train organization, and use the calculated temperature difference between parts to calculate the evaluation value for evaluating whether the temperature value of the monitored part is affected by disturbance Any other method may be used as long as it uses the calculated evaluation value to determine whether or not the temperature value of the monitoring target part is affected by disturbance. For example, the inter-part temperature difference calculation unit 15 evaluates, for each vehicle in the train, the existence probability that there is a pair of monitoring target parts whose inter-part temperature difference is equal to or greater than a certain value from the temperature value measured by the device temperature sensor 11. It may be calculated as a value, and using the calculated evaluation value, it may be determined whether or not the temperature value of the monitoring target part is affected by disturbance. Further, the inter-part temperature difference calculation unit 15 calculates, from the temperature value measured by the device temperature sensor 11, the existence probability that a pair of monitoring target parts having an inter-part temperature difference equal to or greater than a certain value exists in the composition as an evaluation value. Then, it may be determined whether or not the temperature value of the monitoring target part has an influence of disturbance using the calculated evaluation value. The constant value is set in advance through experiments or the like from the viewpoint of determining whether or not the temperature value of the monitoring target part has an influence of disturbance using the calculated evaluation value. In this case, the sunlight incidence determination unit 19 has the existence probability calculated by the inter-site temperature difference calculation unit 15 equal to or greater than the threshold value for determining the presence or absence of sunlight incident stored in the sunlight incidence determination threshold value storage unit 17. When the temperature of the monitoring target part of the moving body is monitored, it is determined that there is an influence of disturbance due to sunlight. On the other hand, in the sunlight incidence determination unit 19, the existence probability calculated by the inter-site temperature difference calculation unit 15 was less than the threshold value for determining the presence or absence of sunlight incident stored in the sunlight incidence determination threshold value storage unit 17. In this case, it is determined that there is no influence of disturbance due to sunlight when monitoring the temperature of the monitoring target part of the moving body. In addition, about a threshold value, it sets beforehand by experiment etc. from a viewpoint of determining the presence or absence of sunlight incidence.

このように構成しても、上記実施形態と同様の作用効果を奏する。   Even if comprised in this way, there exists an effect similar to the said embodiment.

１…温度異常検出システム、１１…機器温度センサ、１２…列車（編成）検出部、１３…機器部位検出部、１４…データ収集処理部、１５…部位間温度差算出部、１６…編成内太陽光入射判定値算出部、１７…太陽光入射判定閾値記憶部、１８…比較部、１９…太陽光入射判定部、２０…高温監視部位集合抽出部、２１…近傍領域温度算出部、２２…編成内統計値算出部、２３…機器動作判定閾値記憶部、２４…比較部、２５…機器動作判定部、２６…温度異常判定部。   DESCRIPTION OF SYMBOLS 1 ... Temperature abnormality detection system, 11 ... Equipment temperature sensor, 12 ... Train (composition) detection part, 13 ... Equipment part detection part, 14 ... Data collection process part, 15 ... Inter-part temperature difference calculation part, 16 ... Sun in composition Light incidence determination value calculation unit, 17 ... Sunlight incidence determination threshold value storage unit, 18 ... Comparison unit, 19 ... Sunlight incidence determination unit, 20 ... High temperature monitoring site set extraction unit, 21 ... Neighboring region temperature calculation unit, 22 ... Knitting Internal statistical value calculation unit, 23... Device operation determination threshold storage unit, 24... Comparison unit, 25 .. device operation determination unit, and 26.

Claims (7)

一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する温度異常検出システムであって、
前記監視対象部位の温度値を取得する温度値取得手段と、
前記温度値取得手段が取得した温度値から、軌道上を走行する前記移動体において前記移動体の進行方向に対して相対的に左側となる左側部と相対的に右側となる右側部のそれぞれに配置されている一対の前記監視対象部位の温度差である部位間温度差を前記移動体の編成内の車両毎に算出し、算出した部位間温度差を用いて、前記監視対象部位の温度値に外乱の影響があるか否かを評価するための評価値を算出する評価値算出手段と、
前記評価値算出手段が算出した評価値が閾値以上であった場合には前記温度値取得手段が取得した前記監視対象部位の温度値に外乱の影響があると判定し、閾値未満であった場合には前記温度値取得手段が取得した前記監視対象部位の温度値に外乱の影響がないと判定する外乱影響判定手段と、
前記温度値取得手段が取得した前記監視対象部位の温度値に基づき前記監視対象部位に温度異常が発生しているか否かを判定する異常判定を行う温度異常判定手段と、
を備え、
前記温度異常判定手段は、前記監視対象部位の温度値に外乱の影響がないと前記外乱影響判定手段によって判定された場合には前記異常判定を行い、前記監視対象部位の温度値に外乱の影響があると前記外乱影響判定手段によって判定された場合には前記異常判定を行わないこと
を特徴とする温度異常検出システム。 A temperature abnormality detection system for detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles,
Temperature value acquisition means for acquiring a temperature value of the monitoring target part;
From the temperature value acquired by the temperature value acquisition means, each of the left side which is relatively left and the right side which is relatively right in the traveling direction of the mobile in the moving body traveling on a track. A temperature difference between the parts, which is a temperature difference between the pair of monitoring target parts arranged, is calculated for each vehicle in the knitting of the moving body, and the temperature value of the monitoring target part is calculated using the calculated temperature difference between parts. Evaluation value calculating means for calculating an evaluation value for evaluating whether or not there is an influence of disturbance,
When the evaluation value calculated by the evaluation value calculation means is greater than or equal to a threshold value, it is determined that the temperature value of the monitoring target part acquired by the temperature value acquisition means has an influence of disturbance, and is less than the threshold value A disturbance influence determination means for determining that there is no influence of disturbance on the temperature value of the monitoring target part acquired by the temperature value acquisition means;
Temperature abnormality determination means for performing abnormality determination for determining whether or not a temperature abnormality has occurred in the monitoring target part based on the temperature value of the monitoring target part acquired by the temperature value acquisition means ;
Equipped with a,
The temperature abnormality determination means performs the abnormality determination when the disturbance influence determination means determines that there is no influence of disturbance on the temperature value of the monitoring target part, and influences the disturbance on the temperature value of the monitoring target part. If there is a disturbance influence determining means, the abnormality determination is not performed . 請求項１に記載の温度異常検出システムにおいて、
前記評価値算出手段は、前記部位間温度差の最高値を前記移動体の編成内の車両毎に算出し、算出された最高値の編成内での中央値を前記評価値として算出すること
を特徴とする温度異常検出システム。 The temperature abnormality detection system according to claim 1,
The evaluation value calculating means calculates the maximum value of the inter-part temperature difference for each vehicle in the knitting of the moving body, and calculates the median value in the knitting of the calculated maximum value as the evaluation value. Characteristic temperature abnormality detection system. 請求項１に記載の温度異常検出システムにおいて、
前記評価値算出手段は、前記部位間温度差が一定値以上となる前記一対の監視対象部位が前記移動体の編成内で存在する存在確率を前記評価値として算出すること
を特徴とする温度異常検出システム。 The temperature abnormality detection system according to claim 1,
The evaluation value calculating means calculates, as the evaluation value, a probability of existence of the pair of monitoring target parts in which the temperature difference between the parts is a certain value or more in the composition of the moving body. Detection system. 請求項１に記載の温度異常検出システムにおいて、
前記評価値算出手段は、前記部位間温度差が一定値以上となる前記一対の監視対象部位が存在する存在確率を前記移動体の編成内の車両毎に前記評価値として算出すること
を特徴とする温度異常検出システム。 The temperature abnormality detection system according to claim 1,
The evaluation value calculating means calculates, as the evaluation value, the existence probability that the pair of monitoring target parts where the temperature difference between the parts is a certain value or more exists for each vehicle in the formation of the moving body. Temperature abnormality detection system. 一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する温度異常検出システムであって、
前記監視対象部位の温度値を取得する温度値取得手段と、
前記温度値取得手段が温度値を取得した複数の前記監視対象部位から前記監視対象部位の集合である高温監視部位集合を抽出する集合抽出手段と、
前記集合抽出手段によって抽出された前記高温監視部位集合を構成する前記監視対象部位のそれぞれについて、前記監視対象部位に隣接し該監視対象部位での温度上昇の影響を受ける隣接部位での温度値である近傍領域温度を、前記温度値取得手段が取得した前記監視対象部位の温度値に基づき算出する近傍領域温度算出手段と、
前記近傍領域温度算出手段によって算出された近傍領域温度の編成内での統計値を算出する統計値算出手段と、
前記統計値算出手段によって算出された統計値が閾値以上であった場合には前記集合抽出手段が抽出した高温監視部位集合の近傍領域温度に外乱の影響があると判定し、閾値未満であった場合には前記集合抽出手段が抽出した高温監視部位集合の近傍領域温度に外乱の影響がないと判定する外乱影響判定手段と、
前記温度値取得手段が取得した前記監視対象部位の温度値に基づき前記高温監視部位集合に異常が発生しているか否かを判定する異常判定を行う異常判定手段と、
を備え、
前記異常判定手段は、前記監視対象部位の温度値に外乱の影響がないと前記外乱影響判定手段によって判定された場合には前記異常判定を行い、前記監視対象部位の温度値に外乱の影響があると前記外乱影響判定手段によって判定された場合には前記異常判定を行わないこと
を特徴とする温度異常検出システム。 A temperature abnormality detection system for detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles,
Temperature value acquisition means for acquiring a temperature value of the monitoring target part;
Set extraction means for extracting a high temperature monitoring part set, which is a set of the monitoring target parts, from the plurality of monitoring target parts from which the temperature value acquisition means has acquired temperature values ;
For each of the monitoring target parts constituting the high-temperature monitoring part set extracted by the set extraction means, the temperature value at an adjacent part adjacent to the monitoring target part and affected by the temperature rise at the monitoring target part A neighboring region temperature calculating unit that calculates a certain neighboring region temperature based on the temperature value of the monitoring target part acquired by the temperature value acquiring unit ;
Statistic value calculating means for calculating a statistic value within the knitting of the vicinity area temperature calculated by the vicinity area temperature calculating means;
When the statistical value calculated by the statistical value calculation means is equal to or greater than a threshold, it is determined that there is a disturbance effect on the temperature in the vicinity of the high-temperature monitoring site set extracted by the set extraction means, and is less than the threshold In the case, disturbance influence determination means for determining that there is no influence of disturbance on the temperature in the vicinity of the high temperature monitoring site set extracted by the set extraction means,
An abnormality determination unit that performs an abnormality determination to determine whether an abnormality has occurred in the high-temperature monitoring region set based on the temperature value of the monitoring target region acquired by the temperature value acquisition unit ;
Equipped with a,
The abnormality determining unit performs the abnormality determination when the disturbance influence determining unit determines that there is no influence of disturbance on the temperature value of the monitoring target part, and the influence of the disturbance is exerted on the temperature value of the monitoring target part. If it is determined by the disturbance influence determining means, the abnormality determination is not performed . 一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを
検出する温度異常検出方法であって、
前記監視対象部位の温度値を取得し、
取得した温度値から、軌道上を走行する前記移動体において前記移動体の進行方向に対して相対的に左側となる左側部と相対的に右側となる右側部のそれぞれに配置されている一対の前記監視対象部位の温度差である部位間温度差を前記移動体の編成内の車両毎に算出し、算出した部位間温度差を用いて、前記監視対象部位の温度値に外乱の影響があるか否かを評価するための評価値を算出し、
算出した評価値が閾値以上であった場合には取得した前記監視対象部位の温度値に外乱の影響があると判定し、閾値未満であった場合には取得した前記監視対象部位の温度値に外乱の影響がないと判定し、
取得した前記監視対象部位の温度値に外乱の影響がないと判定された場合には、取得した前記監視対象部位の温度値に基づき前記監視対象部位に温度異常が発生しているか否かを判定する異常判定を行い、取得した前記監視対象部位の温度値に外乱の影響があると判定された場合には、前記異常判定を行わないこと
を特徴とする温度異常検出方法。 A temperature abnormality detection method for detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles,
Obtaining a temperature value of the monitored portion;
From the acquired temperature value, in the moving body that travels on the track, a pair of left and right sides that are relatively left with respect to the traveling direction of the moving body are disposed on each of the right side and the right side. A temperature difference between parts, which is a temperature difference between the monitored parts, is calculated for each vehicle in the knitting of the moving body, and the temperature value of the monitored part is affected by disturbance using the calculated temperature difference between parts. Calculate an evaluation value to evaluate whether or not
When the calculated evaluation value is equal to or greater than the threshold, it is determined that the acquired temperature value of the monitoring target part has an influence of disturbance, and when the calculated evaluation value is less than the threshold, the acquired temperature value of the monitoring target part is Judge that there is no influence of disturbance,
When it is determined that there is no influence of disturbance on the acquired temperature value of the monitoring target part, it is determined whether a temperature abnormality has occurred in the monitoring target part based on the acquired temperature value of the monitoring target part A temperature abnormality detection method , wherein the abnormality determination is not performed when it is determined that there is an influence of disturbance on the acquired temperature value of the monitoring target part . 一つ以上の車両から編成される移動体の監視対象部位に温度異常が発生していることを検出する温度異常検出方法であって、
前記監視対象部位の温度値を取得し、
前記温度値が取得された複数の前記監視対象部位から前記監視対象部位の集合である高温監視部位集合を抽出し、
抽出された前記高温監視部位集合を構成する前記監視対象部位のそれぞれについて、前記監視対象部位に隣接し該監視対象部位での温度上昇の影響を受ける隣接部位での温度値である近傍領域温度を、取得した前記監視対象部位の温度値に基づき算出し、
算出された近傍領域温度の編成内での統計値を算出し、
算出された統計値が閾値以上であった場合には抽出した高温監視部位集合の近傍領域温度に外乱の影響があると判定し、閾値未満であった場合には抽出した高温監視部位集合の近傍領域温度に外乱の影響がないと判定し、
取得した前記監視対象部位の温度値に外乱の影響がないと判定された場合には、取得した前記監視対象部位の温度値に基づき前記高温監視部位集合に異常が発生しているか否かを判定する異常判定を行い、取得した前記監視対象部位の温度値に外乱の影響があると判定された場合には、前記異常判定を行わないこと
を特徴とする温度異常検出方法。 A temperature abnormality detection method for detecting that a temperature abnormality has occurred in a monitoring target part of a moving body formed from one or more vehicles,
Obtaining a temperature value of the monitored portion;
Out extract the high temperature monitoring site set which is a set of the monitoring object part from a plurality of the monitoring object part by the temperature value is acquired,
For each of the monitoring target parts constituting the extracted high temperature monitoring part set, a neighboring region temperature that is a temperature value in an adjacent part that is adjacent to the monitoring target part and is affected by a temperature rise in the monitoring target part is calculated. , Based on the acquired temperature value of the monitored part ,
Calculate the statistical value within the knitting of the calculated neighborhood temperature,
If the calculated statistic is greater than or equal to the threshold, it is determined that there is a disturbance effect on the temperature in the vicinity of the extracted high-temperature monitoring part set, and if it is less than the threshold, the vicinity of the extracted high-temperature monitoring part set Determine that there is no disturbance effect on the area temperature,
When it is determined that there is no influence of disturbance on the acquired temperature value of the monitoring target part, it is determined whether an abnormality has occurred in the high temperature monitoring part set based on the acquired temperature value of the monitoring target part A temperature abnormality detection method , wherein the abnormality determination is not performed when it is determined that there is an influence of disturbance on the acquired temperature value of the monitoring target part .
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