Information sharing platform and method capable of providing bidirectional vehicle state information and system having information sharing platform
AssigneesHyundai Motor Company, Kia Motors Corporation
InventorsIn-Soo Jung, Dong-Chul Lee
Life of this patent
Estimating the term…
Abstract
An information sharing platform of providing bidirectional vehicle state information between a driver and a vehicle, the information sharing platform may include a communication controller which collects measured data and vehicle Controller Area Network (CAN) information by sensors installed to components capable of diagnosing a vehicle state; and a graphic controller which provides a driver with diagnosis result output information that is generated based on a predetermined selection criterion among the components through Deep Learning based diagnosis using big data having the collected data.
Claims18
An information sharing platform of providing bidirectional vehicle state information between a driver and a vehicle, the information sharing platform comprising:
- a communication controller configured to collect data measured by sensors that are installed in components configured to diagnose a vehicle state and vehicle Controller Area Network (CAN) information;
- and
- a graphic controller configured to provide a driver with diagnosis result output information that is generated based on a predetermined selection criterion among the components through Deep Learning based diagnosis using big data having the collected measured data and CAN information;
- wherein the measured data is composed of vibration data and noise data, and the diagnosis result output information is stored to provide an abnormal prediction information;
- and
- wherein the diagnosis result output information includes a corresponding component and an abnormal probability value.
A big data based state diagnosis information providing system comprising:
- an information sharing platform of providing bidirectional vehicle state information between a driver and a vehicle, the information sharing platform comprising:
- a communication controller configured to collect data measured by sensors that are installed in components configured to diagnose a vehicle state and vehicle Controller Area Network (CAN) information;
- a graphic controller configured to provide a driver with diagnosis result output information that is generated based on a predetermined selection criterion among the components through Deep Learning based diagnosis using big data having the collected measured data and CAN information;
- wherein the measured data is composed of vibration data and noise data, and the diagnosis result is stored to provide an abnormal state prediction information;
- and
- wherein the diagnosis result output information is includes a corresponding component and an abnormal probability value;
- and
- a central server connected to the information sharing platform by a communication network and configured to:
- store a database;
- and
- provide answer information according to an inquiry type input by the driver;
- and
- at least one communication terminal configured to input the answer information.
An information sharing method of providing bidirectional vehicle state information between a driver and a vehicle, the information sharing method comprising:
- collecting, by a communication controller, data measured by sensors of components and vehicle Controller Area Network (CAN) information;
- executing, by a graphic controller, Deep Learning based diagnosis using big data composed of the collected measured data and CAN information;
- and
- providing, by the graphic controller, a driver with diagnosis result output information generated by a predetermined selection criterion among the components by executing the Deep Learning based diagnosis;
- wherein the measured data is composed of vibration data and noise data, and the diagnosis result is stored to provide an abnormal state prediction information;
- and
- wherein the diagnosis result output information includes a corresponding component and an abnormal probability value.
Dependencies are inferred from the claim text.