Research On Approach Of Region-based Skyline Query In Large-scale Smart Grid

With the enactment of the "12th Five-Year Plan”, the scientific development pathhas become the focus of major infrastructure construction and renovation. As a gridsystem of the country one of the major infrastructure projects, China has proposed theconcept of smart grid construction with Chinese characteristics. Want to truly realizethe smart grid of the Chinese characteristics, must proceed from reality, for thepurpose of large-scale practical application.Query features found in the large-scale smart grid, a lot of inquiries in factsimply return the part of the special significance of the whole data. Large-scale smartgrid needs a non-deterministic query, so we introduce the skyline query to study it.Also, past skyline query are based on the global query, in order to avoid increaseexcessive inquiries cost due to the global query, how better to solve large-scale smartgrid, region-based queries to be another focus. Therefore, this paper researches on themethod with region-based skyline query in large-scale smart grid, the specific work isas follows:Create a logical network. This paper proposes a mechanism for logical networkand node level divided. In the logical network process, it forms a tree structure of thelogical network.Query prepared. This paper defines the concept of the physical window, supportthe variable physical window settings and determine with the method of mappingarray.At the same time, it defined a query statement with the physical window andprovides the necessary foundation to meet the requirements of regional query.Issue the query. This paper presents an issued query strategy. On the basis of thelogical network tree structure, this paper judges the query path in accordance with therelevant nature, determines the query path of the physical window, avoids the wasteof the network resources and energy due to the global query.Recycle queries. This paper presents a recovery mechanism on the skyline query. It processes the return data on the basis of query issued. It utilizes relations ofdomination between the query nodes, excludes the more irrelevant data about result.Reduce the amount of computation between the internal network data, reducingenergy consumption, extend the life cycle of the query network.Related experiments to prove that this paper proposed region-based skylinequery in large-scale smart grid the validity and reasonableness, not only to solve theexisting methods can not be non-global query, but also reduce the number ofcomparisons of data to improve query efficiency, lower nodes consumption of energy.