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TRACK DISPLACEMENT FORECAST METHOD AND TRACK DISPLACEMENT FORECASTING SYSTEM
To provide a track displacement forecast method which can forecast future track displacement with high accuracy even if historical track displacement data are limited and insufficient.SOLUTION: Based on a calculated value CV1 of an index IN1 indicating the variation of track displacement measured the first time and a calculated value CV2 of the index IN1 indicating the variation of track displacement measured the second time, an index IN2 that shows the degree of change in track displacement before the second measurement is calculated, and a regression equation RE1 that shows the relationship between the index IN1 and the index IN2 is calculated, and based on a forecast value PV1 of the index IN2 calculated based on the regression equation RE1 and the calculated value CV4 of a correction coefficient CF1 which shows the relationship with the calculated value CV3 of the index IN2, the index IN3, which indicates the degree of change in track displacement after the second measurement is forecast.SELECTED DRAWING: Figure 6
【課題】軌道変位の履歴データが少なく、十分でない場合でも、将来の軌道変位を高精度で予測することができる軌道変位予測方法を提供する。【解決手段】１回目に測定された軌道変位のばらつきを表す指標ＩＮ１の算出値ＣＶ１と、２回目に測定された軌道変位のばらつきを表す指標ＩＮ１の算出値ＣＶ２と、に基づいて、２回目の測定以前の軌道変位の変化の程度を表す指標ＩＮ２を算出し、指標ＩＮ１と指標ＩＮ２との関係を示す回帰式ＲＥ１を算出し、回帰式ＲＥ１に基づいて算出された指標ＩＮ２の予測値ＰＶ１と、指標ＩＮ２の算出値ＣＶ３との関係を示す補正係数ＣＦ１の算出値ＣＶ４に基づいて、２回目の測定以後の軌道変位の変化の程度を表す指標ＩＮ３を予測する。【選択図】図６
TRACK DISPLACEMENT FORECAST METHOD AND TRACK DISPLACEMENT FORECASTING SYSTEM
To provide a track displacement forecast method which can forecast future track displacement with high accuracy even if historical track displacement data are limited and insufficient.SOLUTION: Based on a calculated value CV1 of an index IN1 indicating the variation of track displacement measured the first time and a calculated value CV2 of the index IN1 indicating the variation of track displacement measured the second time, an index IN2 that shows the degree of change in track displacement before the second measurement is calculated, and a regression equation RE1 that shows the relationship between the index IN1 and the index IN2 is calculated, and based on a forecast value PV1 of the index IN2 calculated based on the regression equation RE1 and the calculated value CV4 of a correction coefficient CF1 which shows the relationship with the calculated value CV3 of the index IN2, the index IN3, which indicates the degree of change in track displacement after the second measurement is forecast.SELECTED DRAWING: Figure 6
【課題】軌道変位の履歴データが少なく、十分でない場合でも、将来の軌道変位を高精度で予測することができる軌道変位予測方法を提供する。【解決手段】１回目に測定された軌道変位のばらつきを表す指標ＩＮ１の算出値ＣＶ１と、２回目に測定された軌道変位のばらつきを表す指標ＩＮ１の算出値ＣＶ２と、に基づいて、２回目の測定以前の軌道変位の変化の程度を表す指標ＩＮ２を算出し、指標ＩＮ１と指標ＩＮ２との関係を示す回帰式ＲＥ１を算出し、回帰式ＲＥ１に基づいて算出された指標ＩＮ２の予測値ＰＶ１と、指標ＩＮ２の算出値ＣＶ３との関係を示す補正係数ＣＦ１の算出値ＣＶ４に基づいて、２回目の測定以後の軌道変位の変化の程度を表す指標ＩＮ３を予測する。【選択図】図６
TRACK DISPLACEMENT FORECAST METHOD AND TRACK DISPLACEMENT FORECASTING SYSTEM
軌道変位予測方法及び軌道変位予測システム
ISHIKAWA SATOYUKI (author) / MIWA MASAFUMI (author)
2020-11-19
Patent
Electronic Resource
Japanese
IPC:
E01B
PERMANENT WAY
,
Gleisoberbau
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