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US 9,177,425 B2Granted
Vehicle data analysis apparatus, vehicle data analysis method, and defect diagnosis apparatus
AssigneeToyota Jidosha Kabushiki Kaisha
InventorsHideaki Suganuma, Takeshi Matsumura, Toshiro Hikita
Life of this patent
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Abstract
A vehicle data analysis apparatus analyzes vehicle data that indicates chronological change of a vehicle state. The vehicle data analysis apparatus is provided with a computing unit and a recognition unit. The computing unit is configured to make obvious data fluctuation accompanying the development, in the vehicle data, of mechanical or control-related fault in a vehicle control system. The recognition unit is configured to recognize the vehicle data to be considered during vehicle fault diagnosis on the basis of a result of computation by the computing unit.
Claims17
A vehicle data analysis apparatus for analyzing vehicle data indicating time-series changes of a state of a vehicle, the apparatus comprising:
- a storage device in which a plurality of the vehicle data obtained from the vehicle are accumulated as data to be analyzed;
- a computing section configured to uncover a data fluctuation in each of the plurality of the vehicle data accumulated in the storage device that results from a mechanical or control-related abnormality in a vehicle control system and calculate an amount of change per unit time of the vehicle data;
- and
- a recognizing section configured to recognize, based on a computation result obtained by the computing section, vehicle data to be subject to a diagnosis of the abnormality in the vehicle as a diagnosis target by excluding the data including the amount of change smaller than a threshold showing the data fluctuation resulting from a driver's operation of the vehicle from the data fluctuation included in the vehicle data,
- wherein the recognizing section is configured to use the threshold set to exclude the data fluctuation resulting from a human factor.
2 more elements
A vehicle data analysis apparatus for analyzing vehicle data indicating time-series changes of a state of a vehicle, the apparatus comprising:
- a storage device in which a plurality of the vehicle data obtained from the vehicle are accumulated as data to be analyzed;
- a computing section configured to uncover a data fluctuation in each of the plurality of the vehicle data accumulated in the storage device that results from a mechanical or control-related abnormality in a vehicle control system, wherein as the computation, the computing section performs a computation for obtaining statistical distribution of the vehicle data stored in the storage device;
- and
- a recognizing section configured to:
- recognize, based on a computation result obtained by the computing section, vehicle data to be subject to a diagnosis of the abnormality in the vehicle as a diagnosis target by excluding vehicle data deviating from a median in the obtained statistical distribution showing the data fluctuation resulting from a driver's operation of the vehicle from the data fluctuation included in the vehicle data, and
- extract vehicle data that has a relatively large deviation in the recognized vehicle data from the storage device as the diagnosis target vehicle data,
- wherein the recognizing section is configured to use a threshold set to exclude the data fluctuation from a human factor in excluding vehicle data deviating from the median.
4 more elements
A vehicle data analysis apparatus for analyzing vehicle data indicating time-series changes of a state of a vehicle, the apparatus comprising:
- a storage device in which a plurality of the vehicle data obtained from the vehicle are accumulated as data to be analyzed, the vehicle data including a sensor dataset and a control dataset;
- a computing section configured to uncover a data fluctuation in each of the plurality of the vehicle data accumulated in the storage device that results from a mechanical or control-related abnormality in a vehicle control system and obtain, in the computation, a difference between the sensor dataset and the control dataset correlated with the sensor dataset;
- and
- a recognizing section configured to:
- recognize, based on a computation result obtained by the computing section, vehicle data to be subject to a diagnosis of the abnormality in the vehicle as a diagnosis target by excluding a sensor dataset and a control dataset whose difference is not equal to or greater than a threshold showing the data fluctuation resulting from a driver's operation of the vehicle from the data fluctuation included in the vehicle data, and
- recognize the diagnosis target vehicle data based on the obtained difference,
- wherein the recognizing section is configured to use the threshold set to exclude the data fluctuation resulting from a human factor.
4 more elements
A vehicle data analysis method for analyzing vehicle data indicating time-series changes of a state of a vehicle using a vehicle data analysis apparatus, the method comprising:
- accumulating a plurality of the vehicle data obtained from the vehicle in a storage device as data to be analyzed;
- uncovering a data fluctuation in each of the plurality of the vehicle data that results from a mechanical or control-related abnormality in a vehicle control system;
- calculating an amount of change per unit time of the vehicle data;
- identifying the vehicle data as a diagnosis target to diagnose the abnormality in the vehicle by excluding the data including the amount of change smaller than a threshold showing the data fluctuation resulting from a driver's operation of the vehicle from the data fluctuation included in the vehicle data;
- and
- using the threshold set to exclude the data fluctuation resulting from a human factor.
3 more elements
A vehicle data analysis method for analyzing vehicle data indicating time-series changes of a state of a vehicle using a vehicle data analysis apparatus, the method comprising:
- accumulating a plurality of the vehicle data obtained from the vehicle in a storage device as data to be analyzed, wherein the vehicle data includes, as data reflecting a characteristic of a driver's operation of the vehicle, a sensor dataset and a control dataset, the sensor dataset indicating changes of a value detected by a sensor that detects the state of the vehicle, and the control dataset reflecting changes of the sensor dataset;
- uncovering a data fluctuation in each of the plurality of the vehicle data that results from a mechanical or control-related abnormality in a vehicle control system;
- and
- identifying the vehicle data as a diagnosis target to diagnose the abnormality in the vehicle by excluding the data fluctuation resulting from a driver's operation of the vehicle from the data fluctuation included in the vehicle data, wherein
- the identifying includes:
- excluding a sensor dataset and a control dataset whose difference is not equal to or greater than a threshold, and identifying, as the diagnosis target, vehicle data that includes a data fluctuation based on a factor different from the driver's vehicle operation of the vehicle, and
- using the threshold set to exclude the data fluctuation resulting from a human factor.
4 more elements
A vehicle data analysis method for analyzing vehicle data indicating time-series changes of a state of a vehicle using a vehicle data analysis apparatus, the method comprising:
- accumulating a plurality of the vehicle data obtained from the vehicle in a storage device as data to be analyzed;
- uncovering a data fluctuation in each of the plurality of the vehicle data that results from a mechanical or control-related abnormality in a vehicle control system, wherein the uncovering is to obtain statistical distribution of the stored vehicle data;
- and
- identifying the vehicle data as a diagnosis target to diagnose the abnormality in the vehicle by excluding the data fluctuation resulting from a driver's operation of the vehicle from the data fluctuation included in the vehicle data, wherein
- the identifying includes:
- excluding vehicle data deviating from a median in the vehicle data represented as a statistical distribution and identifying vehicle data that has a relatively large deviation among the recognized vehicle data as the diagnosis target vehicle data, and
- using a threshold set to exclude the data fluctuation resulting from a human factor in excluding vehicle data deviating from the median.
4 more elements
Dependencies are inferred from the claim text.