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A safety risk early warning method for plateau mountain tourism based on reinforcement learning

A technology of reinforcement learning and safety risk, applied in the field of tourism risk prediction, can solve the problems of low success rate, difficult search and rescue of persons in distress, and high cost

Active Publication Date: 2021-11-16
CHENGDU UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to technical constraints, the current plateau mountain scenic spot management department is extremely difficult to search and rescue people in distress, the cost is high and the efficiency is very low

Method used

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  • A safety risk early warning method for plateau mountain tourism based on reinforcement learning
  • A safety risk early warning method for plateau mountain tourism based on reinforcement learning
  • A safety risk early warning method for plateau mountain tourism based on reinforcement learning

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0043] It includes the collection and processing of data, and the method of risk assessment and early warning assessment based on the calculation results.

[0044] The data collection system includes a weather and natural environment disaster data system, a monitoring system for crowd density and the health of the people involved, a system for estimating the carrying pressure of tourist attractions, an infectious disease risk rating system, a traffic pressure and traffic risk system, and social accident factors system.

[0045]The weather and natural environment disaster data system includes air temperature and temperature difference between day and night, wind force level, solar radiation intensity, atmospheric oxygen content, and earthquakes, heavy rain and hail, landslides, debris flows, flash floods, rolling stones, collapse of dangerous rock bodies, and avalanches.

[0046] The population flow density and the health monitoring system of the people involved include the pop...

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Abstract

The present invention relates to the field of predicting tourism risks, specifically a method for early warning of plateau and mountain tourism safety risks based on reinforcement learning. Step S1: Store tourism data sets within the historical time period of tourist attractions in the data memory, and establish according to the data memory Initialized tourism risk early warning indicator function Q and risk target function T; Step S2: According to the tourism risk assessment factor sequence, combined with the selected historical time period tourism data set to obtain the trained tourism risk early warning indicator function Q and risk target function T; Step S3: Combining the input time parameters, the trained tourism risk warning indicator function Q obtains the warning actions under the time parameters, and obtains the risk assessment level results of tourist attractions. Safety management has important reference significance.

Description

technical field [0001] The invention relates to the technical field of tourism risk prediction, in particular to a method for early warning of tourism safety risks in plateau and mountainous regions based on reinforcement learning. Background technique [0002] Some large-scale plateau and mountain scenic spots are the resorts that tourists and extreme sports enthusiasts yearn for due to their diverse landscapes, complex landforms, changeable climate, and inaccessible people. It is not accurate enough to rely solely on weather forecasts. However, due to the sudden threat of altitude sickness and other complex and unexpected mutations, it is not uncommon for patients with high blood pressure and heart disease to experience sudden illness or even sudden death. Getting lost is even worse for plateau tourists in distress. Due to technical limitations, it is extremely difficult for the management department of the plateau and mountainous scenic spots to search and rescue people i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/08G06Q10/06G06Q50/14
CPCG06Q10/0635G06N3/08G06Q50/14G06F18/214G06Q50/265G06F17/18G06N3/092G06N3/045G06N3/006G06N3/0442
Inventor 阚瑷珂罗瑞杨枭于小香
Owner CHENGDU UNIVERSITY OF TECHNOLOGY