A dynamic prediction method and system for fishing port ships entering and leaving port based on multiple regression

Abstract

The invention discloses a fishing port ship entering and exiting dynamic prediction method and system based on multivariate regression, and the method comprises the steps: an information collection integration step: collecting and predicting a required data set which comprises the actual flow of a ship entering and exiting a fishing port and an external environment factor influencing the berthing;a data preprocessing step: performing preliminary processing on the collected data set, removing abnormal data, and standardizing a text format expression form and a value range; and a multivariate regression fitting step: inputting independent variable environment data and the number of departure and departure of the dependent variable ship, calculating a multivariate regression function coefficient, and performing verification optimization to generate a prediction function. External environmental factors are used as independent variables, through screening conversion, the complexity of themodel and the time complexity of calculation are reduced, the number of the fishing port entering and exiting the ship in a future period of time is predicted, and a more accurate basis is provided for fishing port management.

Description

technical field [0001] The present invention relates to the field of computer data mining, in particular to the external environmental factors that affect fishing boats entering and leaving ports, including temperature, wind speed, weather, date, the number of existing berthing ships, historical data, etc., and convert them into more intuitive functional relationships, Enhance the applicability of data. Background technique [0002] In the face of sudden extreme weather or events, it poses a challenge to the management of fishing boats entering and leaving the port. At present, there is no analysis and research on the prediction model of fishing boats entering and leaving the port. In the analysis process, an accurate and effective forecasting system can help fishing port management personnel to have an intuitive understanding of the number of ships entering and leaving the fishing port in the future, so as to assist its further management. [0003] Usually, there is no qua...

AI Technical Summary

Problems solved by technology

Some fishing port management systems provide common historical data analysis and statistics, but cannot provide accurate forecasts for incoming and outgoing flow information for a certain period of time in the future

Usually, the recorded historical management data of the same period is used for analysis, resulting in qualitative and ambiguous results, ignoring other factors that affect the berthing of fishing boats, making the results inaccurate

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