Sea fishing information sharing and big-data mining system

Abstract

The invention provides a sea fishing information and big-data mining system which is composed of a sonar probe, a smartphone and APP (application), a data communication server, a big-data storage server cluster, Hadoop system structure based big-data background service software, application software and the like. After enough original data are collected, the system finds dependence relationship through big-data analysis, users can predict harvest to be obtained according to time, location and the like of planned sea fishing activities, pleasure share of sea fishing enthusiasts on fishing hobby is improved, and scientificity in sea fishing is achieved.

Description

technical field [0001] The present invention relates to the fields of information systems and big data mining, in particular to a fishing information sharing and big data mining system. Background technique [0002] The sonar fish finder brings convenience to people's fishing at sea. Through sonar sensing, the position of the fish school is detected and transmitted to the user's smartphone, and the location is selected for fishing according to the results of the sonar fish finder. [0003] Through the sonar fish finder, fishing enthusiasts can avoid futile efforts in sea areas with no or few fish. But this only solves the problem of individual single-time fishing. Fishing enthusiasts are a social group. Everyone needs to share information about successful fishing to increase the fun of fishing. Data, etc., through big data mining, correlation analysis, prediction of the harvest of the next fishing trip, etc., so that the group of fishing enthusiasts has a more scientific in...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to propose a design method of a fishing information sharing and big data mining system for fishing enthusiasts to share information about successful fishing. The sonar fish finder collects data such as seawater temperature and transmits them to The smart phone APP, the smart phone APP also obtains the latitude and longitude data of satellite positioning, and obtains the ocean current and other data of the area according to the longitude and latitude, as well as the species and pictures of sea fish caught in this fishing trip, and uploads them to the background big data system through the smart phone APP. After collecting enough raw data, through big data analysis, find the correlation relationship, and predict the harvest that will be obtained by fishing at a certain destination

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