EP-3319050-B1 - VEHICLE OPERATION DATA COLLECTION APPARATUS AND VEHICLE OPERATION DATA COLLECTION METHOD

EP3319050B1EP 3319050 B1EP3319050 B1EP 3319050B1EP-3319050-B1

Inventors

ISHIKAWA, MASAYOSHI
OKUDE, MARIKO
NISHIDA, Takehisa
MUTO, KAZUO
KATOU, ATSUSHI

Dates

Publication Date: 20260506
Application Date: 20171026

Claims (4)

A vehicle operation data collection apparatus comprising: a first storage unit (18) in which data obtained by associating operation data of a vehicle (30) acquired by a sensor attached to a component of the vehicle (30) during operation of the vehicle (30), a set of a vehicle type the component and the sensor, and data of normality/abnormality of the operation data or data of an abnormality type with each other are stored as vehicle operation history data of the vehicle (30); a second storage unit (19) in which data obtained by associating a date and time at which maintenance work was performed on the vehicle (30), identification information of the vehicle (30) targeted by the maintenance work, and a set of the vehicle type and the component with each other are stored as maintenance history data; a third storage unit (17) in which a set of the vehicle type, the component and the sensor to be analyzed for analyzing operation state of the vehicle (30) are stored as an analysis unit of abnormality analysis; a classification learning unit (112) configured to extract the operation history data corresponding to an analysis unit from the first storage unit (18) for each analysis unit stored in the third storage unit (17), configured to classify the operation history data for each of the extracted analysis units into normal/abnormal classes for each analysis unit, and further configured to classify the operation history data as abnormality type class; a learning result evaluation unit (113) configured to evaluate the accuracy of classification of the operation history data against a predetermined threshold for each analysis unit, on the basis of a result obtained by classifying the operation history data for each of the analysis units into classes of normality/abnormality and class of abnormality type by the classification learning unit (112), and normal/abnormal data or abnormality type data of each of the operation history data stored in the first storage unit (18), wherein the class is determined to be accuracy insufficient if the accuracy of classification is equal to or smaller than the predetermined threshold; and a collection condition setting unit (13) configured to extract a collection target vehicle for collecting new operation data predicted to belong to the class determined to be accuracy insufficient, and configured to set collection conditions for collecting the new operation data, on the basis of the analysis unit of the class determined to be accuracy insufficient by the learning result evaluation unit (113) and the maintenance history data accumulated in the second storage unit (19), wherein when the collection target vehicle is in the normal class, vehicles (30) immediately after a maintenance of the component of the analysis unit are extracted, and when the collection target is in an abnormal class, vehicles in which the component of the analysis unit is not maintained for a certain period of time are extracted.
The vehicle operation data collection apparatus according to claim 1, further comprising: a collection command distribution unit (152) configured to distribute the collection condition set by the collection condition setting unit (13) as a collection command to the collection target vehicle; and an operation data reception unit (151) configured to receive the operation data of the collection target vehicle transmitted from the collection target vehicle that has received the collection command, and configured to accumulate the received operation data in the first storage unit (18).
The vehicle operation data collection apparatus according to claim 2, wherein the data of the normality/abnormality or abnormality type of the operation data stored in the first storage section as a part of the vehicle operation history data is set when the vehicle (30) is not maintained for a predetermined period, or when maintenance of the vehicle (30) is performed.
A vehicle operation data collection method which comprises the vehicle operation data collection apparatus (10) of any one of claims 1-3, connected communicably to a plurality of vehicles (30), executing the steps of: accumulating operation data of a vehicle (30) acquired from the vehicle (30) in a storage device (18); evaluating excess or deficiency of operation data of the vehicle accumulated in the storage device (18) against a predetermined threshold for each of abnormality types, on the basis of accuracy information of classification obtained when classifying the abnormality types occurring in the vehicle (30) by machine learning, using operation data of the vehicle (30) accumulated in the storage device (18) ; extracting a vehicle (30) suitable for acquiring data of an abnormality type evaluated as data deficiency in the evaluating excess or deficiency of operation data of the vehicle (30) from a database (19) accumulating maintenance history information of the vehicle (30), as a collection target vehicle, wherein vehicles in which a component to be analyzed is not maintained for a certain period of time are extracted; and distributing a collection command instructing collection of operation data to the extracted collection target vehicle.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a vehicle operation data collection apparatus, and a vehicle operation data collection method for collecting operation data of a vehicle suitable for detecting vehicle abnormality. 2. Description of the Related Art In general, various kinds of sensors for monitoring an operation state of components are provided in main components (for example, an engine, wheels, or the like) which constitute a vehicle. Therefore, by monitoring the output values of the sensors, it is possible to detect malfunction or abnormality (hereinafter collectively referred to as vehicle abnormality) of the components. A statistical method is often used to detect such a vehicle abnormality. For example, when the output value of a specific sensor under a specific operation and environmental condition of a certain vehicle is greatly different from an average value of the output values of the same sensors under the same operation and environmental condition of another vehicle of the same vehicle type, it is considered that there is some abnormality in the "certain vehicle" mentioned above. Generally, in order to detect vehicle abnormality by the statistical method, it is necessary to collect output values (sensor data) of as many sensors as possible from as many vehicles as possible to a data center or the like over a considerable period of time. However, it is practically difficult to collect sensor data of all sensors in the vehicle from vehicles of any type, for example, traveling on the road to the data center, from the viewpoint of communication load, analysis load, and accumulation load. Therefore, when detecting vehicle abnormality by the statistical method, it is important to select and efficiently collect sensor data contributing to statistical process of abnormality detection as much as possible. In this specification, sensor data obtained from at least one sensor mounted in a running vehicle is referred to as vehicle operation data. JP-4107238-B2 discloses an example of an information center which receives information such as vehicle type, components, and point and instructs transmission of similar diagnostic information to components of vehicle of the same type running on the same point, in addition to abnormal diagnostic information (operation data) from a vehicle in which an abnormality is detected. In this example, the information center can analyze the cause of occurrence of the abnormality on the basis of the diagnostic information obtained from a plurality of vehicles under the same running environment. Therefore, analysis of the cause of occurrence of abnormality is facilitated. US 2003/0216889 A1 relates to a diagnostic/prognostic system, which monitors performance of a vehicle or other apparatus wherein the vehicle has a plurality of operational components. SUMMARY OF THE INVENTION In order to detect the vehicle abnormality by the statistical method, it is necessary to collect the number of operation data sufficient for distinguishing between abnormality and normality in advance for each type of various abnormalities occurring in the vehicle. In general, it is relatively easy to collect a sufficient number of operation data for normal operation data or abnormal operation data with high occurrence frequency. In contrast, it is not always easy to collect abnormal operation data with low occurrence frequency. The information center disclosed in JP-4107238-B2 can efficiently collect operation data for analyzing the cause of occurrence of an abnormality detected in a certain vehicle from another vehicle. However, this does not mean that a large number of abnormal operation data required when trying to determine the normality/abnormality of the operation data using a statistical method, in particular, machine learning is obtained. Even if there are many normal operation data, when the abnormal operation data is small, it is not possible to improve the accuracy of determination of normality/abnormality. An object of the present invention is to provide a vehicle operation data collection apparatus, a vehicle operation data collection system, and a vehicle operation data collection method capable of efficiently collecting abnormal operation data in a vehicle. A vehicle operation data collection apparatus according to the present invention includes: a vehicle operation data accumulation unit which accumulates operation data of a vehicle acquired from the vehicle; a data excess and deficiency evaluation unit which evaluates excess or deficiency of operation data of the vehicle is defined in claim 1. A corresponding method is defined in claim 4. According to the present invention, there are provided a vehicle operation data collection apparatus and a vehicle operation data collection method capable of efficiently collecting abnormal operation data in a vehicle. BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a diagram illustrating an example of a c