发明名称 Social network graph based sensor data analytics
摘要 The present invention relates to a system and method of effective physical data aggregation and its logical analytics by way of utilizing socially interacting and networking platforms to create meaningful association and relevancy between the captured physical data. The physical data associated by social networking platforms results in creation of reduced data set for analytics and requires low processing requirements for application usage.
申请公布号 US9509788(B2) 申请公布日期 2016.11.29
申请号 US201214124701 申请日期 2012.06.04
申请人 Tata Consultancy Services Limited 发明人 Pal Arpan;Bhaumik Chirabrata;Ghose Avik;Sinha Priyanka
分类号 G06F15/16;H04L29/08;G06Q30/02;G06Q50/00 主分类号 G06F15/16
代理机构 Finnegan, Henderson, Farabow, Garrett & Dunner, LLP 代理人 Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
主权项 1. A system for sensor data accumulation and analysis, the system comprising: a plurality of sensors adapted to generate sensor information, wherein each sensor is associated with one or more users related to each other; a sensor social network connecting the plurality of sensors, and storing a plurality of user profiles and the sensor information; an aggregator to formalize the sensor information by applying social networking graph as a rule based filtering on the sensor information and stream the formalized sensor information to corresponding sensor data fields stored on the sensor social network; an identity associator, deployed on the sensor social network, adapted to derive at least one association among the formalized sensor information based on at least one parameter related to at least one of the user profiles, user's interest or user's objective to determine related sensors from the plurality of sensors; and an analytical engine configured to analyze the sensor information of the related sensors and share the analyzed sensor information, among the related sensors, to achieve a common objective of the one or more users.
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