IBM Japan Prototypes Network-based Automobile Troubleshooting System Framework

Tokyo December 27, 2004; JCNN reported that IBM Japan has developed a prototype system framework to troubleshoot and predict mulfunctions of automobiles over a network.

The prototype system uses many built-in sensors and chips that send data on various parts and functions to an in-vehicle computer connected to a server network to analyze system malfunctions and root causes.

A new data mining method that IBM's Tokyo Research Laboratory has developed is used to figure out logic in determining mulfunctions. Also, to optimize the logic, the company utilizes Watson Research Center's AAI (Automated Analysis Initiative), a diagnostic system construction technology being verified in collaboration with automakers. For the logic implementation, IBM uses its proprietary AI-intensive scalable learning/reasoning component, ABLE (Agent Building and Learning Environment).

IBM Japan plans to apply this system in various fields such as ships, aircrafts, manufacturers, as well as financial and medical industries.