Internet of things real-time data oriented automatic analysis method

Abstract

The invention relates to an Internet of things real-time data oriented automatic analysis method. The method comprises the following steps of collecting and obtaining entity information and processingthe information through adoption of a Watir and Nokogiri information real-time obtaining method; carrying out real-time management on data; carrying out real-time statistics on the data; carrying outreal-time search on the entity information; carrying out real-time prediction; and carrying out real-time exchange. A search result can be directly transmitted to a user or a prediction module for preprocessing, a prediction model is established, compared with a direct search result, a predicted result has the advantage of relatively high practical significance, and then the predicted result is transmitted to the user, so an instructional effect acts on decision making of the user. An entity consistent with a specific state can be searched. Moreover, a real-time state of a specific entity canbe searched, the state of the entity after certain time also can be predicted, and the information useful for the user can be obtained.

Description

technical field [0001] The invention relates to an automatic analysis method, in particular to an automatic analysis method for real-time data of the Internet of Things. Background technique [0002] With the continuous progress of the development of science and technology, the Internet of Things technology has been widely used in many fields such as smart home, intelligent traffic control, intelligent fire protection, environmental monitoring, logistics express, food traceability, industrial monitoring, hotel management, health care, etc. Many people hope to obtain IoT data information conveniently and quickly through the network, observe and process the data at any time, so as to make corresponding decisions. [0003] The real-time data automatic analysis system of the Internet of Things uses technologies such as radio frequency identification, sensors, and network interconnection to realize the marking, perception, monitoring, tracking, and control box management of vario...

AI Technical Summary

Problems solved by technology

[0005] With the emphasis on the Internet of Things at home and abroad, in terms of Internet of Things search technology, there are many implementation technologies for different application environments, such as the Snoggle / Microsearch system suitable for centralized management[}lfgl, not suitable for large-scale The MAX system in a large-scale environment has a large computational cost, the OCHCObjectscallinghome)} system, the GSNCGlobalsensornetworks system that supports data stream processing, etc.; There are tens of billions of physical entities. Massive entities have the characteristics of heterogeneity, physical security, data dynamics, and real-time status. These systems cannot fully cope with the real-time search of entities in the Internet of Things.

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