Multi-pattern information representation and acquisition in intelligent space

Intelligent space has changed the one to one occupying mode between robot and sensing devices in traditional pattern, making the computational resources and all kinds of devices tend to be public and sharing. In order to make full use of the different services and resources, a new information representation method based on modified JDL is presented in the paper, which can represent the information from QR Code, RFID in a uniform format, and realize information interoperability and sharing. Due to the strong computational ability of intelligent space, the information service in the intelligent space is not limited in the original signal level, but also the deeper understanding through data fusion. A multi-pattern acquisition model based on the distributed data fusion tree is built in the paper aiming to realize multi-class, multi-level processing to the distributed sensor data. The example demonstrates that the new model proposed in the paper can improve the positioning precision of robot and targets greatly, and the search efficiency and success rate are also better than traditional pattern.