Data index building and query method for Internet of Things intellisense

Abstract

The invention discloses a data index building and query method for Internet of Things intellisense. The method includes: firstly, sampling by a data monitoring unit, and storing data to a sample data storage server of the Internet of Things; secondly, allowing a sample data server to organize sampled values of one monitoring object according to a sampling time sequence to form a sampled value sequence of the monitoring object, and storing the sampled value sequence as an attribute value in data record of the monitoring object; and thirdly, building a tree index layer, and indexing the monitoring object data records stored by the sample data storage servers of the Internet of Things. The tree index layer comprises a plurality of index servers. A master node is named as an index master server, and other nodes are named as index slave servers. The tree index layer includes a full-text keyword B<+> tree index, an Internet of Things space-time R tree index, and a sample component symbolic keyword B<+> tree index. The data index building and query method for Internet of Things intellisense is applicable to real-time multimodal search of massive data of Internet of Things.

Description

technical field [0001] The present invention relates to the fields of the Internet of Things, sensor data management, search engines, information retrieval, etc., and proposes a method that can reflect the dynamic changes of the sampling data state in real time and supports multiple search modes (including keyword search, time-space search, and state value search) Internet of things search engine method. Background technique [0002] The Internet of Things is a hot technology emerging internationally and domestically. The Internet of Things can combine various items with the Internet through radio frequency identification (RFID), sensor devices and equipment, global positioning systems and other devices to form a huge network, so as to realize intelligent identification and management, and then realize various items. remote perception and control, thus generating a more intelligent production and living system. [0003] The Internet of Things is widely used in many fields ...

AI Technical Summary

Problems solved by technology

The data in the Internet of Things environment is mainly monitoring data dynamically collected by sensors and monitoring equipment. These data present dynamic characteristics of continuous change. Traditional search engines generally use periodic and slow index update methods, so they cannot The latest status searched for the required data

[0007] (2) Challenges of Internet of Things space-time search

However, the current search engine technology is mainly based on keyword matching to complete the search process, so it cannot provide support for spatio-temporal search;

[0008] (3) Challenges of Internet of Things state value search

In the real-time search engine mentioned above, since there is no spatio-temporal index and index based on state value, it cannot support spatio-temporal search and state value search

[0011] (2) The current work done on the sensor space-time search engine can only support the search of the sensor location at the query time (ie the current moment), but cannot support the search of the historical location

In the Internet of Things environment, because the collection of location information is relatively sparse and does not follow the location tracking protocol, in the process of searching, we can only use the actual collection points as the standard instead of connecting the collection points into a space-time trajectory, resulting in Therefore, the current indexing methods for moving object trajectories cannot be directly applied to Internet of Things search engines.

[0013] (4) In the search of sensor state values, the current work can only support the search of the current state value of the sensor, and cannot support the search of historical state values

According to detailed literature research and analysis, the current research and product development in this area are still blank.

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