Multi-objective correlation degree incremental optimization partitioning method for buoy data
A correlation and multi-objective technology, applied in the direction of electrical digital data processing, special data processing applications, climate sustainability, etc., to achieve the effect of fast convergence speed and fast and efficient data access services
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Embodiment 1
[0047] This paper mainly studies the dynamic and efficient layout of large-scale ocean sensing data. In this paper, the ocean sensor map is abstracted as AB-Graph as the main research object, and it is analyzed in detail. Aiming at the optimal layout scheme of the divided AB-Graph, various types of observation equipment newly deployed and decommissioned in the dynamically changing ocean sensor map, this paper first defines the degree of association between the equipment and the micro-area according to the historical ocean events. Secondly, the AB-Graph incremental optimization algorithm is constructed, and the existing layout is dynamically adjusted under the premise of satisfying the multi-objective partition constraints, so that the overall partition result does not produce obvious degradation. Experiments show that compared with the dynamic Hash partition, the incremental optimization strategy can optimize the existing partition of the graph when new observation equipment i...
Embodiment 2
[0080] See Figure 4 , Figure 4 It is an overall structure diagram of the multi-objective correlation incremental optimization division method of buoy data in the present invention.
[0081] The multi-objective correlation incremental optimization division method of the buoy data of the present embodiment includes the following steps:
[0082] S1, calculating the expression factor layer of buoys and micro-zones;
[0083] S2, the new buoy is placed in the micro-region with the highest degree of correlation;
[0084] S3, judging the AB-Graph constraint layer;
[0085] S4. Optimizing the existing AB-Graph to satisfy the incremental optimization partition constraint.
Embodiment 3
[0087] The multi-objective correlation incremental optimization division method of the buoy data of the present embodiment includes the following steps:
[0088] S1, Calculate expression factor layers for buoys and microdomains. Specifically include the following steps:
[0089] S101, analyzing the affected buoys during previous typhoon disasters,
[0090] S102, analyzing the relationship between the affected buoy and its micro-zone,
[0091] S103, defining the expression factor of the degree of association between the buoy and the micro-zone to which it belongs,
[0092] S104, calculating correlation degree factors of all buoys.
[0093] S2, the new buoy is placed in the micro-region with the highest correlation degree. Specifically include the following steps:
[0094] S201, calculate the degree of correlation between the new buoy and each existing micro-interval through historical typhoon time;
[0095] S202, comparing the correlation between the new buoy and each mic...
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