Drive data collection system

• US 9,940,759 B2
• Filed: 11/13/2015
• Issued: 04/10/2018
• Est. Priority Date: 11/14/2014
• Status: Active Grant

• Current Assignee: DENSO Corporation
• Original Assignee: DENSO Corporation
• Inventors: Takenaka, Kazuhito, Bando, Takashi, Egawa, Masumi
• Primary Examiner(s): SMITH, JELANI A
• Application Number:
  US14/940,190
• Publication Number:
  US 20160140779A1
• Time in Patent Office: 879 Days
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction

Abstract

A drive data collection system includes an in-vehicle system and an information center. The in-vehicle system includes a data collector that repeatedly collects measurement values indicative of various indexes regarding a state of a subject vehicle, a model memory that memorizes model information regarding discretization rules that are shared by each of participating vehicles in the system, and a data discretizer that discretizes drive data, which includes time-series measurement values collected by the data collector, into multiple data parts according to the model information. The information center includes a data accumulator that accumulates the discretized drive data in a server. The in-vehicle system sends the discretized drive data to the information center through a communicator. Therefore, the drive data collection system efficiently collects the drive data in a versatilely-utilizable manner for the analysis of general driving practices/behaviors.

Claims

1. A drive data collection system, the drive data collection system comprising:

an in-vehicle system installed in a vehicle, the in-vehicle system including

a data collector configured to collect measurement values indicative of various indexes regarding a state of a subject vehicle that has the in-vehicle system installed in the subject vehicle,

a model memory configured to store model information regarding discretization rules for discretizing drive data into multiple data parts, the drive data includes time-series measurement values collected by the data collector, and the model information is shared by each of participating vehicles in the drive data collection system, and

a Double Articulation Analyzer configured to continuously discretize the drive data into the multiple data parts using a double articulation dividing method according to the model information; and

an information center configured to communicate with the in-vehicle system, the information center including

a data accumulator configured to accumulate the discretized drive data in a server, wherein

the in-vehicle system is configured to send the discretized drive data to the information center via communication through a communicator.

2. The drive data collection system of claim 1, wherein

the information center includes a model creator configured to create the model information based on the discretized data accumulated in the server,

the in-vehicle system includes a model updater configured to update stored contents of the model memory by using the model information created by the model creator, and

the information center configured to distribute the model information to the in-vehicle system via communication through another communicator.

7. The drive data collection system of claim 1, wherein

the in-vehicle system further includes:

an additional information collector configured to collect additional information regarding a situation in which the subject vehicle has the in-vehicle system installed in the subject vehicle; and

a data adder configured to add the additional information collected by the additional information collector to data that is to be sent to the information center.

8. The drive data collection system of claim 1, wherein the double articulation dividing method includes:

gathering clusters representing vehicle states based on the drive data in a multi-dimensional space to depict value ranges of the drive data;

defining transition probabilities between the clusters; and

statistically determining which one of the clusters the drive data obtained from the data collector belongs to, based on the clusters and the transition probabilities.

3. A drive data collection system, the drive data collection system comprising:

an in-vehicle system installed in a vehicle, the in-vehicle system including

a data collector configured to collect measurement values of various indexes regarding a state of a subject vehicle that has the in-vehicle system installed in the subject vehicle,

a low-level model memory configured to store low-level model information regarding discretization rules for discretizing drive data into multiple data parts, the drive data collected by the data collector as time-series measurement values, and

a low-level Double Articulation Analyzer configured to continuously discretize the drive data into the multiple data parts using a double articulation dividing method by using the low-level model information; and

an information center configured to communicate with the in-vehicle system, the information center including;

a high-level model memory configured to store high-level model information regarding integration rules for integrating the discretized drive data continuously discretized by the low-level discretizer,

a high-level discretizer configured to integrate the discretized drive data according to the high-level model information, and

a data accumulator configured to accumulate the integrated discretized drive data in a server.

4. The drive data collection system of claim 3, wherein the information center includes:

a model creator configured to create the high-level model information based on the integrated discretized drive data accumulated in the server; and

a model updater configured to update stored contents of the high-level model memory with the high-level model information created by the model creator.

9. The drive data collection system of claim 3, wherein the double articulation dividing method includes:

gathering clusters representing vehicle states based on the drive data in a multi-dimensional space to depict value ranges of the drive data;

defining transition probabilities between the clusters; and

statistically determining which one of the clusters the drive data obtained from the data collector belongs to, based on the clusters and the transition probabilities.

5. A drive data collection system, the drive data collection system comprising:

an in-vehicle system installed in a vehicle, the in-vehicle system including

a data collector configured to collect measurement values of various indexes regarding a state of a subject vehicle that has the in-vehicle system installed in the subject vehicle,

a low-level model memory configured to store low-level model information regarding discretization rules for discretizing drive data into multiple data parts, the drive data including time-series measurement values collected by the data collector, and

a low-level Double Articulation Analyzer configured to continuously discretize the drive data using a double articulation dividing method according to the low-level model information;

a distributed processing device, each of the distributed processing device including

a high-level model memory configured to store high-level model information regarding integration rules for integrating the discretized drive data discretized by the low-level discretizer,

a high-level discretizer configured to integrate the discretized drive data according to the high-level model information stored in the high-level model memory, and

a model updater configured to update contents of the high-level model memory with the high-level model information created by the model creator; and

an information center configured to communicate with the in-vehicle system, the information center including

a data accumulator configured to accumulate the integrated discretized drive data in a server, and

a model creator configured to create the high level model information based on the integrated discretized drive data accumulated in the server, wherein

the distributed processing device is configured to communicate with both of the in-vehicle system and the information center.

6. The drive data collection system of claim 5, wherein

the distributed processing device is installed in a part of participating vehicles in the system.

10. The drive data collection system of claim 5, wherein the double articulation dividing method includes:

gathering clusters representing vehicle states based on the drive data in a multi-dimensional space to depict value ranges of the drive data;

defining transition probabilities between the clusters; and

statistically determining which one of the clusters the drive data obtained from the data collector belongs to, based on the clusters and the transition probabilities.