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CN-115837914-B - Oil diagnosis device, oil diagnosis method, and storage medium

CN115837914BCN 115837914 BCN115837914 BCN 115837914BCN-115837914-B

Abstract

The present disclosure provides an oil diagnosis device, an oil diagnosis method, and a storage medium. The oil diagnosis apparatus includes a generation section configured to generate a statistical causal search model showing correlations between a plurality of kinds of driving information by using first data, the first data being various kinds of driving information acquired in advance from a sensor connected to an on-board unit mounted on a vehicle, an acquisition section configured to acquire second data, the second data being driving information acquired from a sensor mounted on the vehicle and provided independently of the on-board unit, an estimation section configured to estimate the driving information corresponding to the second data by using the statistical causal search model, and a derivation section configured to derive a precursor accumulation amount of the vehicle from the estimated driving information.

Inventors

  • Da Yecheng

Assignees

  • 丰田自动车株式会社

Dates

Publication Date
20260508
Application Date
20220831
Priority Date
20210921

Claims (5)

  1. 1. An oil diagnostic device comprising: A generation section configured to generate a statistical causal search model showing correlations between a plurality of kinds of driving information by using first data, the first data being various kinds of driving information acquired in advance from a sensor connected to an in-vehicle unit mounted on a vehicle; An acquisition section configured to acquire second data, which is measurement information acquired from a sensor mounted on another vehicle different from the vehicle and connected to a measurement device other than an in-vehicle unit; An estimating section configured to estimate driving information of the other vehicle corresponding to data related to the measurement information by using the statistical causal search model, and A deriving portion configured to derive a front mass accumulation amount of the other vehicle from the estimated driving information of the other vehicle.
  2. 2. The oil diagnostic apparatus according to claim 1, wherein the deriving portion is configured to derive the precursor accumulation amount by using a trained model that undergoes machine learning of a relationship between the driving information of the vehicle and the precursor accumulation amount by using the first data.
  3. 3. The oil diagnostic apparatus according to claim 1, wherein the estimating portion is configured to estimate the driving information of the other vehicle including at least one of an average value of fuel consumption, an integrated value of engine rotational speed, and a maximum value of the engine rotational speed.
  4. 4. An oil diagnostic method comprising: generating a statistical causal search model showing correlations between a plurality of kinds of driving information by using first data, which are various kinds of driving information acquired in advance from a sensor connected to an on-board unit mounted on a vehicle; Acquiring second data, which is measurement information acquired from a sensor mounted on another vehicle different from the vehicle and connected to a measurement device different from the on-vehicle unit; estimating driving information of the other vehicle corresponding to the data related to the measurement information by using the statistical causal search model, and And deriving a front mass accumulation amount of the other vehicle from the estimated driving information of the other vehicle.
  5. 5. A storage medium storing an oil diagnosis program that causes a computer to execute a process, the process comprising: generating a statistical causal search model showing correlations between a plurality of kinds of driving information by using first data, which are various kinds of driving information acquired in advance from a sensor connected to an on-board unit mounted on a vehicle; Acquiring second data, which is measurement information acquired from a sensor mounted on another vehicle different from the vehicle and connected to a measurement device different from the on-vehicle unit; estimating driving information of the other vehicle corresponding to the data related to the measurement information by using the statistical causal search model, and And deriving a front mass accumulation amount of the other vehicle from the estimated driving information of the other vehicle.

Description

Oil diagnosis device, oil diagnosis method, and storage medium Technical Field The present invention relates to an oil diagnosis device, an oil diagnosis method, and a storage medium for diagnosing driving. Background Japanese unexamined patent application publication No. 2019-14437 (JP 2019-14437A) discloses a diagnostic system that acquires driving information related to a driving operation of a vehicle from an on-board unit and diagnoses a driving technique by using the driving information. Disclosure of Invention The real on-board unit is expensive and thus an inexpensive recording device (recorder) can be installed to record driving information of the vehicle. However, driving information that can be acquired by an inexpensive recording apparatus is limited. Therefore, a diagnostic system compatible with the on-board unit cannot always perform diagnosis by using the driving information acquired from the inexpensive recording device. An object of the present invention is to provide an oil diagnosis apparatus, an oil diagnosis method, and a storage medium, in which a diagnosis system compatible with an on-board unit can perform diagnosis by using driving information acquired from an inexpensive recording apparatus. The oil diagnosis apparatus according to the first aspect includes a generation section configured to generate a statistical causal search model showing correlations between a plurality of kinds of driving information by using first data, the first data being various kinds of driving information acquired in advance from a sensor connected to an on-board unit mounted on a vehicle, an acquisition section configured to acquire second data, the second data being driving information acquired from a sensor mounted on the vehicle and provided independently of the on-board unit, an estimation section configured to estimate the driving information corresponding to the second data by using the statistical causal search model, and a derivation section configured to derive a precursor (pre) accumulation amount of the vehicle from the estimated driving information. The oil diagnosis apparatus according to the first aspect diagnoses oil by using second data, which is driving information acquired from a sensor mounted on the vehicle and provided independently of the on-board unit. When diagnosing oil, the oil diagnosing apparatus generates a statistical causal search model showing the correlation between a plurality of kinds of driving information by using first data, which is driving information acquired in advance from a sensor mounted on an in-vehicle unit, estimates driving information corresponding to second data by using the statistical causal search model, and derives a pre-quality accumulation amount. That is, the oil diagnosing apparatus diagnoses the oil based on the driving information acquired from the sensor retrofitted to the vehicle by using the driving information acquired in advance from the sensor connected to the in-vehicle unit. Therefore, a diagnostic system compatible with the on-board unit can perform diagnosis by using measurement information acquired from an inexpensive measurement device. In the oil diagnosis apparatus according to the first aspect, the deriving portion may be configured to derive the precursor accumulation amount by using a trained model that undergoes machine learning of a relationship between the driving information and the precursor accumulation amount by using the first data. According to the oil diagnosis device of the first aspect, the oil can be diagnosed using the first data acquired from the in-vehicle unit. In the oil diagnostic apparatus according to the first aspect, the estimating portion may be configured to estimate driving information including at least one of an average value of fuel consumption, an integrated value of engine rotational speed, and a maximum value of the engine rotational speed. According to the oil diagnostic device of the first aspect, the precursor accumulation amount can be deduced by elucidating the relationship. The oil diagnosis method according to the second aspect includes generating a statistical causal search model showing correlations between a plurality of kinds of driving information by using first data, the first data being various kinds of driving information previously acquired from a sensor connected to an on-board unit mounted on a vehicle, acquiring second data, the second data being driving information acquired from a sensor mounted on the vehicle and provided independently of the on-board unit, estimating the driving information corresponding to the second data by using the statistical causal search model, and deriving a precursor accumulation amount of the vehicle from the estimated driving information. In the oil diagnosis method according to the second aspect, the oil is diagnosed by using second data, which is driving information acquired from a sensor mounted on the vehicle and provided independently of th