Real-time warning method under space-time dynamic mode of sensor network

Abstract

The invention discloses a real-time warning method under a space-time dynamic mode of a sensor network. The real-time warning method comprises the following steps: using a real-time database system to acquire real-time dynamic data from the sensor network in a real-time manner in advance; defining atomic events based on an ECA (Event Condition Action) rule in advance, and compounding the atomic events to obtain a complex event; establishing a dynamic Bayes network model in advance to obtain an indeterminate complex event rule base; establishing a detection method for carrying out real-time analysis and matching on event flows based on an automatic mechanism in advance; establishing a reasoning structure based on an intelligent agent dependency graph in advance; reasoning the event flows from the sensor network on the reasoning structure based on the intelligent agent dependency graph in a real-time reasoning algorithm based on the ECA rule to obtain a determined result of the events; and trigging the real-time warning when the determined result is true, actuating corresponding inform operation, and warning. The real-time warning method has the advantages of real-time performance, stable property and higher efficiency.

Description

technical field [0001] The invention belongs to the technical field of complex event processing in a sensor network environment, and in particular relates to a real-time alarm method in a sensor network space-time dynamic mode. Background technique [0002] With the further development of industrial wireless network technology, radio frequency identification technology, sensor network technology, information technology and cognitive science, human beings have achieved great progress in all technical aspects of information acquisition, identification, processing, transmission, retrieval, analysis and utilization. Greatly improved, thus greatly expanding people's ability to control and use information. [0003] Compared with traditional industrial applications, sensor network data is distributed, dynamic, uncertain, and massive. It is a kind of spatiotemporal data, so real-time alarms in the spatiotemporal dynamic mode are more complicated and difficult. How to give real-time...

AI Technical Summary

Problems solved by technology

Although these works can be used to implement reasoning based on ECA rules, they cannot meet the needs of real-time reactive systems for intelligence.

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