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Method and System for Cognitive Problem Diagnosis and Collective Assessment within a Social Environment for Connected Vehicle

IP.com Disclosure Number: IPCOM000248877D
Publication Date: 2017-Jan-19
Document File: 3 page(s) / 66K

Publishing Venue

The IP.com Prior Art Database

Abstract

There are huge volume of vehicles, especially private cars, in China. However, most owners are just user (driver), but not expert of his/her car inside. The quality and health of car is the most concern of its owner. Is there any method or system to provide specific assessment on vehicle and help on any issues for the owner/user in a real-time manner? The invented system can leverage specific knowledge from various sources and apply assessment, diagnosis, and resolution accordingly based on appropriate Internet of Things (IoT) sensors around car to provide real-time and personalized service.

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Method and System for Cognitive Problem Diagnosis and Collective Assessment within a Social Environment for

Connected Vehicle

1) Background and Problem There are huge volume of vehicles, especially private cars, in China. Most owners are just user (driver), but not expert of his/her car inside. The quality and health of car is the most concern of its owner. The vendors of vehicles are not doing well for the customer care, especially for the specific problem of individual. There are quite a lot communities or forums online for vehicles' owners to share experiences and help answering questions. More and more sensors are adopted in the vehicle to capture various data around.

Is there any method or system to provide specific assessment on vehicle and help on any issues for the owner/user in a real-time manner?

Driver assistant systems, e.g. some commercial systems and services provided by vehicle manufactories or vendors, which are based on pre-build static analysis models or human assistant remote support. These systems can not handle new problem efficiently in real time.

2) Main Idea Leverage specific knowledge from various sources and apply assessment, diagnosis, and resolution accordingly based on appropriate IoT sensors around car to provide real-time and personalized service. - Digest knowledge and extract symptom from various sources (e.g. online community, forum, documents) for specific subject (e.g. vendor, brand, model type, year, configuration) - Understand capabilities of all sensors available around the subject - Recognize and rank the sensor or sensors combination based on the knowledge and the capabilities - Select measurement model for recognizing the symptom based on the related sensors - Collect data from recognized sensors for the subject and perform analysis to confirm the symptom

3) How It Works There are 3 key components as shown below.

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Sensor Registration Register IoT sensor with all context, including capability concepts, 1st order metric and its partial-order concepts, 2nd order metric and its partial-order concepts, and subject scope.

For example, Vehicle Speed Sensor (VSS): - Capability concepts: speed, velocity, moving rate, ... - 1st order metric: moved distance in meter per second, "move fast" > "move slow", slow [0, 9m/s) normal [9m/s, 27m/s) fast [27m/s, 35m/s) abnormal [35m/s, ) - 2nd order metric: acceleration of speed per...