Big data detecting method based on multi-parameter analysis

Abstract

The invention relates to a big data detecting method based on multi-parameter analysis. The method comprises: a multi-parameter analysis-based big data detecting platform is used for determining the waiting time, required for arriving and entering a card swiping access control terminal, of a tourist at a preset position in a queue area in real time; the platform comprises a card swiping access control terminal, tourist information recording equipment, cable car speed detecting equipment and carrying tourist number analyzing equipment; the card swiping access control terminal is used for tourists to enter a cable car taking area from the queen area in the situation of swiping cable car tickets by the tourists; the cable car speed detecting equipment is arranged on a cable of the cable car and is used for detecting the current cable car speed; the carrying tourist number analyzing equipment is used for analyzing the average number of the tourists carried by a single cable car; the tourist information recording equipment is used for determining the number of the tourists waiting for the cable car in the cable car taking area based on the accumulated number of the tourists entering the car swiping access control terminal serving as an access control number and based on the number of the tourists entering the access control terminal, the current cable car speed and the average number of the tourists carried by the single cable car.

Description

technical field [0001] The invention relates to the field of data management, in particular to a large data detection method based on multi-parameter analysis. Background technique [0002] The cable car can be divided into two types according to the method of support and traction: (1) single-line type: use a steel cable to support the weight of the cable car and pull the cable car or chair at the same time; (2) double-line type: use multiple steel cables, of which One or two cables that support the weight of the cable car are stationary, while the other cables pull the cable car. [0003] According to the way of walking, the cable car can be divided into: (1) reciprocating type: there is only a pair of cable cars on the cable car cableway. When one of them goes up the mountain, the other goes down the mountain. The reciprocating cable car generally has more passengers, up to 100 people per car, and has stronger climbing ability and better wind resistance. The speed of the ...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, the determination of the queuing time required for each preset position in the cable car queuing area is a reference value given by the cable car operator based on the manual judgment of the staff's historical experience, because of the limitations of manual judgment, The error of this reference value is relatively large. If it is used for queuing planning, tourists are likely to affect the subsequent journey due to the long queuing time

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