Intelligent early warning system and method for virus health of carrying tool based on 5G NB-IoT

Abstract

The invention discloses a 5G NB-IoT-based transport tool virus health intelligent early warning system and method, and the method comprises the steps: selecting calculation time and the data of people, vehicles and roads of a road section, calculating the equivalent aggregation degree loss degree and safety degree of people, vehicles and roads of the road section based on the data in the step 1, and calculating an optimal operation and maintenance table; carrying out prediction through a plurality of ARFIMAs; verifying a prediction result and an actual result; adopting a plurality of ARFIMAs for prediction; using real-time guest, vehicle and road information as a prediction relation of two-stage interaction, people on the vehicle are in a first-level prediction relation, wherein the largerpedestrian flow is, the larger the disinfection strength is, the vehicle one the road is in a second-level prediction relation, the poorer the road condition is, the larger the pre-replacement and maintenance strength of all the components is, and the maintenance and disinfection levels before departure are adjusted according to the multi-level maintenance requirements and new component supply, so that personnel gathering caused by breakdown anchoring is better solved, and full-green travel is realized.

Description

technical field [0001] The invention relates to the technical field of smart travel intelligent early warning, in particular to a 5G NB-IoT-based vehicle virus health intelligent early warning system and method. Background technique [0002] At present, the new crown virus is prevalent. How to know the disinfection status of various vehicles such as cars, subways, ships, and airplanes in real time is critical to the life safety of the general public. In healthy travel, whether the vehicles have been disinfected and whether they carry the new crown virus , has become the focus of people's attention. There are big problems in the existing early warning methods for vehicles. Frequent departures during the peak hours of work, lack of staff responsible for disinfection, and easy to cause road congestion; The emergence of disinfection trains and the long waiting time for passengers to gather together at the station make the ride experience worse. However, the traditional statistic...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a 5G NB-IoT-based carrier virus health intelligent early warning system and method, which can effectively solve the problem that the existing early warning method proposed in the above background technology has large data, high processing difficulty, and does not distinguish between odd and even days, reducing the accuracy of prediction degree of question

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