Systems for Learning User Preferences and Generating Recommendations to make Settings at Connected Vehicles and Interfacing with Cloud Systems
US-2016080500-A1 · Mar 17, 2016 · US
US9731668B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9731668-B2 |
| Application number | US-201313963029-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 9, 2013 |
| Priority date | Aug 9, 2013 |
| Publication date | Aug 15, 2017 |
| Grant date | Aug 15, 2017 |
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An computing device is configured to detect that a user device is approaching the vehicle. An identifier for the user device and an identifier for the vehicle is transmitted to a remote server. A model is used to generate settings data in the vehicle, wherein the model is generated at least in part based on the identifier for the user device and the identifier for the vehicle. At least one setting for the at least one component in the vehicle is generated according to the model, and is applied to the at least one component in the vehicle.
Opening claim text (preview).
The invention claimed is: 1. A system, comprising: a first computer that includes a processor and a memory, configured to: receive an identifier for an operator of a first equipment that is a physical machine, and an identifier for the first equipment; receive a set of parameters related to operation of the first equipment, the parameters including at least one of operator profile data, equipment data, and data collected from operation of the first equipment; identify a universal model for at least one component in the first equipment, wherein the universal model provides, for an operator, a set of universal settings for the at least one physical component in a plurality of equipment that includes the first equipment, each of the universal settings providing one or more same values for each equipment in the plurality of equipment; generate, using the universal model and the set of parameters, including at least one parameter specifying an environment around the first equipment, a model specific to the first equipment that includes at least one setting for the operator using the at least one component in the first equipment; transmit the new model to the first equipment; and a second computer in the first equipment, configured to apply at least one setting in the new model to control the at least one component in the first equipment. 2. The system of claim 1 , wherein the first computer is further configured to: identify a previous model for settings of the at least one component; and use the previous model in addition to the universal model in generating the model specific to the first equipment. 3. The system of claim 1 , wherein the second computer in the first equipment is further configured to use the model specific to the first equipment to determine the at least one setting. 4. The system of claim 1 , wherein the first computer is further configured to: receive a second set of parameters related to operation of the first equipment by the operator; and use at least some of the second set of parameters to generate at a second model specific to the first equipment to determine least one setting for the operator using the at least one component in the first equipment. 5. The system of claim 4 , wherein the first computer is further configured to: transmit the second model specific to the first equipment to the second computer in the first equipment. 6. The system of claim 1 , wherein the first computer is further configured to: receive a second set of parameters related to operation of the first equipment by the operator; use at least some of the second set of parameters to generate at a second model specific to a second equipment that includes at least one setting for the operator using the at least one component in the second equipment; and transmit the second model specific to the second equipment. 7. The system of claim 1 , wherein the parameters specifying an environment around the equipment include a coefficient of friction. 8. The system of claim 1 , wherein the new model includes a mapping of throttle positions to requested torques. 9. A method, comprising: receiving an identifier for an operator of a first equipment that is a physical machine, and an identifier for the first equipment; receiving a set of parameters related to operation of the first equipment, the parameters including at least one of operator profile data, equipment data, and data collected from operation of the first equipment; identifying a universal model for at least one component in the first equipment, wherein the universal model provides, for an operator, a set of universal settings for the at least one physical component in a plurality of equipment that includes the first equipment, each of the universal settings providing one or more same values for each equipment in the plurality of equipment; generating, using the universal model and the set of parameters, including at least one parameter specifying an environment around the first equipment, a model specific to the first equipment that includes at least one setting for the operator using the at least one component in the first equipment; transmitting the new model to a computer in the first equipment; and applying at least one setting in the new model to control the at least one component in the first equipment. 10. The method of claim 9 , further comprising: identifying a previous model for settings of the at least one component; and using the previous model in addition to the universal model in generating the model specific to the first equipment. 11. The method of claim 9 , wherein the computer in the equipment is configured to use the model specific to the first equipment to determine the at least one setting. 12. The method of claim 9 , further comprising: receiving a second set of parameters related to operation of the first equipment by the operator; and using at least some of the second set of parameters to generate at a second model specific to the first equipment to determine least one setting for the operator using the at least one component in the first equipment. 13. The method of claim 12 , further comprising: transmitting the second model specific to the first equipment to the computer in the equipment. 14. The method of claim 9 , further comprising: receiving a second set of parameters related to operation of the first equipment by the operator; using at least some of the second set of parameters to generate at a second model specific to a second equipment that includes at least one setting for the operator using the at least one component in the second equipment; and transmitting the second model specific to the second equipment to a second computer in the second equipment. 15. The method of claim 9 , wherein the parameters specifying an environment around the equipment include a coefficient of friction. 16. The method of claim 9 , wherein the new model includes a mapping of throttle positions to requested torques. 17. An in-vehicle computing device, comprising a processor and a memory, wherein the computing device is configured to: detect that a user device is approaching the vehicle; transmit an identifier for the user device and an identifier for the vehicle to a remote server; receive, from the remote server, a model specific to the vehicle to generate settings data in the vehicle, wherein the model specific to the vehicle is generated at least in part based on the identifier for the user device and the identifier for the vehicle using a universal model that provides, for an operator of the vehicle, a set of universal settings for the at least one component in a plurality of vehicles that includes the vehicle, each of the universal settings providing one or more same values for each vehicle in the plurality of vehicles, the model further being generated at least in part according to context parameters relating to current operations of the vehicle, the context parameters including data relating to an environment around the vehicle; generate at least one setting for the at least one component in the vehicle according to the model that is specific to the vehicle; and apply the at least one setting to the at least one component in the vehicle. 18. The device of claim 17 , further configured to: collect data related to operation of the vehicle, and send the collected data to the remote server. 19. The device of claim 18 , further configured to: receive a second model specific to the vehicle to generate settings in the vehicle,
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