Complex event processing system and method based on edge computing for Internet of Things

Abstract

The invention relates to a complex event processing system and method based on edge computing for the Internet of Things. The complex event processing system comprises an original event sensing module, an original event processing module and a complex event processing module. The original event sensing module acquires an original event from the Internet of Things terminal sensing device and transmits the original event to the original event processing module; the original event processing module preprocesses the original perception event and then places the event into an original event library of an edge computing server or transmits the event to an event parser according to a preset rule; the complex event processing module further performs event pattern detection, event filtering, event abstraction, event hierarchical structure modeling, event aggregation and conversion and relationship detection between events through an event parser after obtaining simple events from the original event processing module so as to reasoning more complex and higher-level composite events. According to the invention, the change of the demand of the cloud server can be responded to in real time, and the complex event matched with the edge end is processed in real time to allow the change of the production plan in the production process, so that the production efficiency is maximized.

Description

technical field [0001] The present invention relates to the field of computer software, and specifically refers to a complex event processing system and method for the Internet of Things based on edge computing. Background technique [0002] Usually, the IoT terminal sensing device network lacks sufficient hardware resources to analyze and visualize the data collected by the IoT terminal sensing device. Such a network of IoT end-aware devices is often used to take data and forward it to a more powerful device where it can be properly processed. These devices can be used to monitor, visualize, and perform statistical analysis on instance servers. One of the current challenges of using smart IoT endpoints to perceive a network of devices is the communication with cloud services. Since embedded systems are widely used in IoT terminal perception device networks, there are usually not enough hardware resources for data monitoring, analysis and visualization. Furthermore, commu...

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