A Dynamic Coupling Metadata Publishing Method for Value Domain and Frequency Domain Distribution of Data Streams
A metadata and data flow technology, applied in the field of dynamic mutual coupling metadata release, can solve the problems of long calculation process, high energy consumption, slow information real-time response ability, etc.
Active Publication Date: 2021-09-14
CHINA UNIV OF MINING & TECH +1
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Problems solved by technology
[0003] (1) It needs to rely on complex models and realize it through high-speed computing, which requires high computing power;
[0004] (2) The calculation model becomes more and more complex with the increase of data volume and accuracy requirements;
[0005] (3) The longer the calculation process takes, the greater the energy consumption, and the slower the real-time response to information;
[0006] (4) Most of the calculation results need to use complex information transmission means to complete data transmission
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[0019] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.
[0020] The method for distributing dynamic mutual coupling metadata of data stream value domain and frequency domain distribution according to the embodiment of the present invention will be described below with reference to the accompanying drawings.
[0021] Such as figure 1 As shown, the method for distributing dynamic mutual coupling metadata of data stream value domain and frequency domain distribution in the embodiment of the present invention includes the following steps:
[0022] S1, perform statistics on the data freque...
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The invention discloses a method for publishing dynamic mutual coupling metadata of data stream value domain and frequency domain distribution, comprising the following steps: performing statistics on data frequency distribution of value domain intervals and data dispersion of frequency domain intervals on data streams in timing domain windows degree calculation to establish dynamic mutual coupling metadata; the data frequency distribution of the value domain interval and the data dispersion degree of the frequency domain interval in the dynamic mutual coupling metadata are respectively modulated into magnetic bias signals and released separately. According to the method of the present invention, the computational complexity of data processing can be reduced, the real-time performance of data publishing can be improved, data wireless transmission in isolated space or ultra-distance space can be realized conveniently, and the reliability of data processing and data transmission can be improved.
Description
technical field [0001] The invention relates to the technical field of data publishing, in particular to a method for publishing dynamic mutual coupling metadata of data stream value domain and frequency domain distribution. Background technique [0002] In the routine processing of data streams, a rule can be found by processing large data, and output actions are performed on data exceeding a threshold. This type of processing method has the following disadvantages: [0003] (1) It needs to rely on complex models and realize it through high-speed computing, which requires high computing power; [0004] (2) The calculation model becomes more and more complex with the increase of data volume and accuracy requirements; [0005] (3) The longer the calculation process takes, the greater the energy consumption, and the slower the real-time response to information; [0006] (4) Most of the calculation results need to use complex information transmission means to complete data t...
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IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 肖栋张卫清肖艳彭苏萍张益东王恩元杰克斯
Owner CHINA UNIV OF MINING & TECH