Unlock instant, AI-driven research and patent intelligence for your innovation.

A method of real-time detection of tourist travel risk using artificial intelligence

An artificial intelligence and tourist technology, applied in the field of data security and protection of information technology, can solve the problem of high randomness of action, and achieve the effect of reducing training cost, shortening time step, and improving prediction accuracy

Active Publication Date: 2021-03-30
山东恒云信息科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. High randomness of action

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be further described below.

[0020] A method for real-time detection of tourist travel risks using artificial intelligence, comprising the following steps:

[0021] a) Collect the coordinate positions of N tourists in the tour group at fixed time intervals, upload the obtained coordinate positions to the server, and obtain a circular range that can contain all tourists according to the coordinate positions of all tourists. The center coordinates of the circular range are o i , the center coordinate O i Upload to the server, t is the timestamp when the coordinates of the center of the circle are reported to the server, 1≤i≤t, where the center of the circle is O i The coordinates are expressed as (x middle,i＝t ,y middle,i＝t ), x is the longitude value, y is the latitude value, the latitude takes the equator as the dividing line, and the north is the positive direction; the longitude takes the prime meridian as the dividing line, and the eas...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for detecting tourist travel risks in real time by using artificial intelligence, and the method can be used for quickly and effectively extracting behavior characteristics of a plurality of tourists by analyzing behavior tracks in the travel process of the tourists and predicting the risk probability of the tourists in the travel process according to the behaviorcharacteristics. The channel neural network calculates periodic behavior characteristics in multiple time dimensions, and informationizes the periodic behavior characteristics into risk probability in combination with positioning information. A high-precision real-time prediction model can be constructed for data sequences of multiple tourists and different behavior tracks in a low-training-costmode. Because the options of the time dimension and the geographic positioning are introduced into the risk assessment model to serve as the additional input, the time step length of training the neural network risk assessment model can be greatly shortened, the training cost can be effectively reduced, and the prediction precision is improved.

Description

technical field [0001] The invention relates to the technical field of data security and protection of information technology, in particular to a method for real-time detection of tourist travel risks using artificial intelligence. Background technique [0002] At present, the turnover of the tourism industry is growing rapidly at a rate of 10% per year. While the tourism industry is developing rapidly, there is a lack of effective means to assess the travel risks of tourists. Issues such as leaving the group without authorization and visiting in violation of regulations have been repeatedly prohibited during travel. For tourists with potential high-risk behaviors, being able to detect them in time and take preventive measures is the most effective means of reducing risks. [0003] Usually, tourists who are prone to high-risk behaviors have the following behaviors: [0004] 1. High randomness of action [0005] 2. Often leave the group and act alone. [0006] In the trad...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W4/35G06N3/08G06F16/29G06Q10/06G06Q50/14
CPCG06N3/08G06Q10/0635G06Q50/14G06F16/29H04W4/029H04W4/35
Inventor 段吉民梁善廷孙建华
Owner 山东恒云信息科技有限公司