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Meteorological data extraction and visualization method based on big data processing and four-dimensional analysis algorithm

A technology for big data processing and meteorological data, which is applied in electrical digital data processing, special data processing applications, database design/maintenance, etc. Accurate understanding and efficient delivery of effects

Pending Publication Date: 2022-01-11
龙睿
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the purpose of the present invention is in order to quickly, comprehensively, timely and accurately understand the weather elements of the full voyage of the flight, and solve the difficulties and problems (difficult to comprehensive analysis, difficult to communicate, specific data, etc.) Difficult to timely, difficult to monitor clearly)

Method used

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  • Meteorological data extraction and visualization method based on big data processing and four-dimensional analysis algorithm
  • Meteorological data extraction and visualization method based on big data processing and four-dimensional analysis algorithm
  • Meteorological data extraction and visualization method based on big data processing and four-dimensional analysis algorithm

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specific Embodiment approach 1

[0035] Embodiment 1: The present invention discloses a method for accurately extracting and displaying meteorological data through a four-dimensional analysis algorithm and a weather recognition algorithm based on big data processing. The method includes the following steps.

[0036] S1. Establish a dynamic meteorological database.

[0037] S2. Establish an operating database (the timeliness of operating data needs to be ensured).

[0038] S3. Data processing, extracting meteorological data that accurately matches the operating data (four-dimensional analysis algorithm, weather recognition algorithm, big data processing).

[0039] S4. Data visualization.

specific Embodiment approach 2

[0040] Embodiment 2: This embodiment is a further description of Embodiment 1, and the S1 includes the following steps.

[0041] S101. Access and store meteorological data from different data sources and types in an array.

[0042] Specifically, it contains 3 different data sources;

[0043] Meteorological data types involve: temperature, wind speed, wind direction, humidity, icing, turbulence, tropopause height, and CB data; meteorological data are all four-dimensional data (x, y, z, t), and static terrain data (one-dimensional).

[0044] S102. Meteorological data preprocessing:

[0045] The turbulence data involves the merging of data from different sources. Taking into account the turbulence spatio-temporal resolution and turbulence value of different sources, four-dimensional processing is performed on its time, space, and turbulence value. Based on the processing results, the average value of turbulence from different sources is taken.

[0046] S103. Construct various t...

specific Embodiment approach 3

[0050] Specific implementation mode three: this implementation mode is a further description of specific implementation mode one, and the S2 includes the following steps:

[0051] S201. Obtain data through the operation data interface, and use the MQ polling method to ensure the timeliness of data acquisition.

[0052] S202. The flight ID in the monitoring data involves the same flight ID. If it involves a flight plan change, the latest data shall prevail, that is, the update of the flight plan data will trigger data reprocessing and rendering.

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Abstract

The invention relates to a meteorological data extraction and visualization method based on big data processing and a four-dimensional analysis algorithm. The method comprises the following steps: establishing a dynamic meteorological database; establishing an operation database (the timeliness of operation data needs to be ensured); data processing: extracting meteorological data (a four-dimensional analysis algorithm, a weather recognition algorithm and big data processing) accurately matched with the operation data; and carrying out data visualization. The invention is applied to the field of aviation meteorology, realizes rapid, comprehensive, timely and accurate understanding of the potential risk of flight operation by accurately extracting and displaying the weather factor condition of the whole flight range, and can solve the problems of difficult comprehensive flight weather analysis, difficult specific communication, difficult timely data, difficult clear monitoring and the like in actual operation. Weather elements can be comprehensively, timely and accurately known, and efficient information transmission is realized.

Description

technical field [0001] The present invention is a method based on big data processing, through a four-dimensional analysis algorithm and a weather recognition algorithm, to realize accurate extraction and display of meteorological data. Background technique [0002] In order to ensure the normal operation of aircraft, relevant personnel need to carry out early warning and monitoring of dangerous weather in each flight terminal area and route. The time ranges from a few hours to more than ten hours, involving various stages before the flight takes off, during the flight, and after landing; the space ranges from hundreds of kilometers to thousands of kilometers, and the data involves various types of operational and meteorological data. A wide range of attention, a long time span, a variety of data types, and a large amount of data are challenges in practical work. [0003] Every time a flight is guaranteed, the staff needs to switch back and forth between the systems, analyz...

Claims

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Application Information

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IPC IPC(8): G06F16/248G06F16/21G06F16/22
CPCG06F16/248G06F16/21G06F16/22
Inventor 龙睿孙方钿薛湧田荟君
Owner 龙睿
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