Rapid decision-making method of reactive system

Abstract

The invention discloses a rapid decision-making method of a reactive system. The rapid decision-making method comprises the following steps: 1), analyzing a fuzzy ECA rule in a reactive system into anFECR network; 2), inputting fact data in the reactive system into a condition query network one by one; 3), allocating priorities to nodes in the FECR network, and then searching weak connected branches of the FECR network according to the topology of the FECR network; 4), for the received ith batch of data, finding each corresponding trigger node a, modifying the dynamic attribute information ofthe node a and activating the node a; starting from the node a, traversing the FECR network, and activating a child node of the trigger node a until the limitation condition of the node is not met orthe child node reaches the action node of the FECR network; when each node is activated, forming a task instance; and 5), allocating the task instances by a scheduler to different working devices forexecution according to the priorities. According to the method, accurate and rapid decision making can be realized.

Description

technical field [0001] The invention belongs to the field of rule system and real-time technology, and in particular relates to a high-performance fuzzy ECA (event-condition-action) rule matching method for streaming data and an execution scheduling method for rule matching tasks, in particular to a reactive Systematic approach to quick decision-making. Background technique [0002] Reactive systems need to process a large amount of streaming data collected by sensors in a timely manner, identify the scenes of interest, and trigger corresponding actions to automatically respond to these scenes. In recent years, reactive systems have been widely used in various fields of social life, and have played an important role in industries such as medical care, transportation, education, communications, military and construction, such as fire alarm and temperature control in intelligent buildings, safety control of production processes , Behavioral monitoring in medical care, etc. A...

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