Method for quickly positioning data in visualization interface of ocean spatio-temporal data

Abstract

The invention relates to a method for quickly positioning data in a visualization interface of ocean spatio-temporal data. The method comprises the following steps: pre-processing data of a wind profiler and storing the processed data in a database; reading data from the database, and storing the data structurally and locally; visualizing spatio-temporal data with a cartographic tool; establishinga local index cache set, storing a spatial dimension index field in the standard data set in a "re-classification" manner according to possible indexes to be inquired, and establishing a mapping relationship between the indexes and data to be retrieved; and receiving a query request from the visualization interface, and transforming the query request into a query index of a preset format.

Description

technical field [0001] A method for quickly locating data on the ocean spatio-temporal data visualization interface. Background technique [0002] In the context of the era of big data, the data in various production fields is increasing massively, especially in the field of marine hydrology and meteorology. In the face of these massive data, it is first necessary to carry out standardized processing and storage, and then in a specific environment, these data need to be displayed intuitively and visually, which can effectively present the important characteristics of the data, reveal the objective laws, and improve the efficiency of scientific research and development. Improvement, etc. are of great significance. In this way, it is necessary to find a fast and efficient data query method during the research and development process, so that the visual experience can be effectively improved, and data editing can be smoother and faster. In the past research and development te...

AI Technical Summary

Problems solved by technology

This method of querying data has the following disadvantages: (1) This query method has certain advantages in the query of small data volumes. When the data volume becomes larger, the query speed tends to be significantly slower and inefficient, and cannot meet the requirements of batching. inquiry request

(2) It is not conducive to accurately locate the specified data required by the operator

(3) Waste local operating resources

However, the research on the data processing system of marine meteorological survey is not perfect at home and abroad. In addition to the requirement of visual processing of massive data, a set of high-efficiency, accurate, low-latency query scheme and its data processing system have become the hot and difficult points of current research.

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