Detection method for complex events in mass disordered data streams of Internet of Things Manufacturing

A technology for manufacturing the Internet of Things and complex events, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of low efficiency of complex event detection, etc., and achieve the goal of improving event detection capabilities, efficient detection functions, and rapid processing Effect
CN104408142AInactive Publication Date: 2015-03-11GUANGDONG UNIV OF TECH
3 Cites 3 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG UNIV OF TECH
Publication Date
2015-03-11
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a detection method for complex events in mass disordered data streams of Internet of Things Manufacturing, and aims at solving the problem of low efficiency on detecting the events in mass disordered data streams in the Internet of Things Manufacturing. The method is characterized in that ENFA (Extended Nondeterministic Finite Automaton) is utilized for selecting events in mass disordered data streams, and the storage relationship of a hash table structure is utilized to handle events in the mass disordered data streams, so as to realize the detection of the complex events in mass disordered data streams. The method has the advantages that the existing automaton-based complex event mode detection method is improved, the existing complex event detection technology is expanded to be able to efficiently detect the complex events in the mass disordered data streams, and therefore, the detection efficiency is raised.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present invention relates to the field of manufacturing Internet of Things, and more specifically, to a method for detecting complex events of massive out-of-sequence data streams in the manufacturing Internet of Things. Background technique

[0002] Manufacturing Internet of Things technology is based on middleware, massive information fusion processing and system integration technology, based on Internet of Things network development service platform and application system to solve the comprehensive information perception, reliable transmission, Massive data processing, precise control and credible service issues, technology to increase the added value of product technology, and enhance the management and control capabilities of the manufacturing and service process. Complex event detection technology is a technology that can use the association between event attributes to continuously filter the massive data streams that arrive continuously thro...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More