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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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