Weather and traffic visualization method and device
A weather and traffic technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to integrate meteorological data, insufficient meteorological and air traffic systems, and insufficient integration.
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no. 1 example
[0030] see figure 2 , the present invention example provides a kind of weather traffic visualization method, described method comprises:
[0031] Step S200: Acquiring the weather data of the selected area within the selected time period and the traffic data matching the weather data within the selected time period;
[0032] Considering that existing conditions are difficult to meet the demand for airway weather data, in the embodiment of the present invention, the weather traffic index of the airport area is used to represent the weather traffic index of the entire airspace. Since it is impossible to take into account all the airports in the country, in order to simplify the calculation, this embodiment selects the airports with the largest flow rate from the 11 flight information regions of my country for calculation, and the focus is to show the calculation process of weather classification in my country.
[0033] This embodiment selects relatively stable weather in 2015 a...
no. 2 example
[0107] see Figure 14 , the embodiment of the present invention provides a weather traffic visualization device 300, the device 300 includes:
[0108] A raw data acquisition unit 310, configured to acquire weather data in a selected area within a selected time period and traffic data matching the weather data within the selected time period;
[0109] The weather traffic index data acquisition unit 320 is used to obtain the weather traffic index data of the selected area based on the weather data, the traffic data and the preset weather traffic index calculation rules;
[0110] For example, it is used to obtain the weather traffic index data of the selected area based on WITI(k)=T(k)×W(k), and W(k) is the weight of the selected area. The weight is 1 when traffic constitutes an influence, and 0 when it does not constitute an influence. T(k) is the traffic data, and WITI(k) is the weather traffic index data of the selected area.
[0111] The weather data includes visibility dat...
Embodiment approach
[0113] As an implementation manner, the standardized data acquisition unit 330 includes:
[0114] A data normalization unit 331, configured to obtain normalized weather traffic index data based on the weather traffic index data and the translational standard deviation formula;
[0115] The data normalization unit 332 is used to obtain standardized weather traffic index data according to the translational range formula after the data normalization unit 331 processes;
[0116] The distance matrix acquisition unit 333 is configured to obtain the distance matrix of the standardized weather traffic index data according to the Euclidean distance method after the data normalization unit 332 processes.
[0117] Cluster analysis unit 340, for utilizing Ward method to carry out cluster analysis to the standardized data of described weather traffic index data;
[0118] The visual display unit 350 is configured to display the relationship between the weather data and the traffic data in ...
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