Event Control Schedule Management

• US 20140005847A1
• Filed: 02/01/2013
• Published: 01/02/2014
• Est. Priority Date: 06/28/2012
• Status: Abandoned Application

• Current Assignee: Toyota Infotechnology Center Co., Ltd. (Toyota Motor Corporation)
• Original Assignee: Toyota Infotechnology Center Co., Ltd. (Toyota Motor Corporation)
• Inventors: Melen, Roger D.
• Application Number:
  US13/757,663
• Publication Number:
  US 20140005847A1
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G06F 1/28 Supervision thereof, e.g. detecting power-supply failure by out of limits supervision
• CPC Class Codes: G06Q 10/047 Optimisation of routes or paths, e.g. travelling salesman problem

Abstract

A system and method for managing event control schedules is disclosed. The system includes a retrieval module, an estimation module, an optimization module, a plan module and a scheduling module. The retrieval module retrieves mobile computer system journey context data and user profile data for one or more users of a mobile computer system. The estimation module estimates future journey data associated with one or more future trips based at least in part on the mobile computer system journey context data and user profile data. The optimization module determines one or more journey provisioning data parameters for the mobile computer system based at least in part on the estimated future journey data. The plan module generates one or more provisioning plans based at least in part on the one or more estimated future journey data and determining a preferred provisioning plan from the one or more provisioning plans. The scheduling module generates a provisioning schedule for the vehicle.

Claims

1. A computer-implemented method comprising:

retrieving mobile computer system journey context data and user profile data for one or more users of a mobile computer system;

estimating future journey data associated with one or more future trips based at least in part on the mobile computer system journey context data and user profile data;

determining one or more journey provisioning data parameters for the mobile computer system based at least in part on the estimated future journey data;

generating one or more provisioning plans based at least in part on the one or more estimated future journey data; and

determining a preferred provisioning plan from the one or more provisioning plans.

2. The method of claim 1, wherein determining the one or more journey provisioning data parameters for the mobile computer system comprises:

determining one or more of a preferred combination of diverse content data, preferred computer controlled actions performed for enabling mobile computer system mobility properties, preferred power charging profiles including efficient charging complete level for the mobile computer system and a preferred temperature for the mobile computer system based at least in part on the context data describing the future trip.

3. The method of claim 1, wherein generating the one or more provisioning plans comprises:

generating a data transferring plan for obtaining a resultant combination of diverse journey context data at a data completion time;

generating a charging profile indicating to charge a battery to achieve the maximum power charging level at a charging completion time;

generating a charging profile indicating to charge a battery to achieve a preferred power charging level at a charging completion time; and

generating a temperature control profile indicating to control a temperature in the vehicle to achieve the optimum temperature at a temperature control completion time.

4. The method of claim 1, further comprising retrieving social network data associated with the user, and wherein the determination of the one or more journey provisioning data parameters is further based on the social network data.

5. The method of claim 1, wherein the journey context data includes data describing one or more of a synchronized start time, a start location, a duration, an estimated destination, a route, a mobile computer system user, a purpose and a category of the future trip.

6. The method of claim 1, further comprising:

generating a resultant data schedule for obtaining a resultant combination of diverse journey context data at a data completion time according to a preferred data transferring plan;

generating a resultant charging schedule to charge a battery for achieving a resultant power charging level at a charging completion time according to a preferred charging profile; and

generating a resultant temperature control schedule to control a temperature in the vehicle for achieving a resultant temperature at a temperature control completion time according to a preferred temperature control profile.

7. The method of claim 1, wherein determining the one or more journey provisioning data parameters for the mobile computer system comprises:

extracting preference data describing a provisioning preference for the mobile computer system from the mobile computer system data; and

determining the one or more journey provisioning data parameters based at least in part on the preference data.

8. A system comprising:

a retrieval module retrieving mobile computer system journey context data and user profile data for one or more users of a mobile computer system;

an estimation module communicatively coupled to the retrieval module, the estimation module estimating future journey data associated with one or more future trips based at least in part on the mobile computer system journey context data and user profile data;

an optimization module communicatively coupled to the estimation module, the optimization module determining one or more journey provisioning data parameters for the mobile computer system based at least in part on the estimated future journey data; and

a plan module communicatively coupled to the optimization module, the plan module generating one or more provisioning plans based at least in part on the one or more estimated future journey data and determining a preferred provisioning plan from the one or more provisioning plans.

9. The system of claim 8, wherein the optimization module is configured to:

determine one or more of a preferred combination of diverse content data, preferred computer controlled actions performed for enabling mobile computer system mobility properties, preferred power charging profiles including efficient charging complete level for the mobile computer system and a preferred temperature for the mobile computer system based at least in part on the context data describing the future trip.

10. The system of claim 8, wherein the plan module is configured to:

generate a data transferring plan for obtaining a resultant combination of diverse journey context data at a data completion time;

generate a charging profile indicating to charge a battery to achieve the maximum power charging level at a charging completion time;

generate a charging profile indicating to charge a battery to achieve a preferred power charging level at a charging completion time; and

generate a temperature control profile indicating to control a temperature in the vehicle to achieve the optimum temperature at a temperature control completion time.

11. The system of claim 8, wherein the retrieval module is configured to retrieve social network data associated with the user, and wherein the determination of the one or more journey provisioning data parameters is further based on the social network data.

12. The system of claim 8, wherein the journey context data includes data describing one or more of a synchronized start time, a start location, a duration, an estimated destination, a route, a mobile computer system user, a purpose and a category of the future trip.

13. The system of claim 8, wherein the scheduling module is configured to:

generate a resultant data schedule for obtaining a resultant combination of diverse journey context data at a data completion time according to a preferred data transferring plan;

generate a resultant charging schedule to charge a battery for achieving a resultant power charging level at a charging completion time according to a preferred charging profile; and

generate a resultant temperature control schedule to control a temperature in the vehicle for achieving a resultant temperature at a temperature control completion time according to a preferred temperature control profile.

14. The system of claim 8, wherein the optimization module is further configured to:

extract preference data describing a provisioning preference for the mobile computer system from the mobile computer system data; and

determine the one or more journey provisioning data parameters based at least in part on the preference data.

15. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising:

retrieving mobile computer system journey context data and user profile data for one or more users of a mobile computer system;

estimating future journey data associated with one or more future trips based at least in part on the mobile computer system journey context data and user profile data;

determining one or more journey provisioning data parameters for the mobile computer system based at least in part on the estimated future journey data;

generating one or more provisioning plans based at least in part on the one or more estimated future journey data; and

determining a preferred provisioning plan from the one or more provisioning plans.

16. The computer program product of claim 15, wherein determining the one or more journey provisioning data parameters for the mobile computer system comprises:

determining one or more of a preferred combination of diverse content data, preferred computer controlled actions performed for enabling mobile computer system mobility properties, preferred power charging profiles including efficient charging complete level for the mobile computer system and a preferred temperature for the mobile computer system based at least in part on the context data describing the future trip.

17. The computer program product of claim 15, wherein generating the one or more provisioning plans for the vehicle comprises:

generating a data transferring plan for obtaining a resultant combination of diverse journey context data at a data completion time;

generating a charging profile indicating to charge a battery to achieve the maximum power charging level at a charging completion time;

generating a charging profile indicating to charge a battery to achieve a preferred power charging level at a charging completion time; and

generating a temperature control profile indicating to control a temperature in the vehicle to achieve the optimum temperature at a temperature control completion time.

18. The computer program product of claim 15, wherein the instructions cause the computing device to perform operations further comprising retrieving social network data associated with the user, and wherein the determination of the one or more journey provisioning data parameters is further based on the social network data.

19. The computer program product of claim 15, wherein the journey context data includes data describing one or more of a synchronized start time, a start location, a duration, an estimated destination, a route, a mobile computer system user, a purpose and a category of the future trip.

20. The computer program product of claim 15, further comprising:

generating a resultant data schedule for obtaining a resultant combination of diverse journey context data at a data completion time according to a preferred data transferring plan;

generating a resultant charging schedule to charge a battery for achieving a resultant power charging level at a charging completion time according to a preferred charging profile; and

generating a resultant temperature control schedule to control a temperature in the vehicle for achieving a resultant temperature at a temperature control completion time according to a preferred temperature control profile.