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A big data detection method based on multi-parameter analysis

A detection method and big data technology, applied in the field of data management, can solve the problems of large reference value error and tourists' queuing time affecting subsequent journeys, etc.

Active Publication Date: 2019-08-06
北京麒麟心通网络技术有限公司
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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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  • A big data detection method based on multi-parameter analysis

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Embodiment Construction

[0026] The implementation of the multi-parameter analysis-based big data detection platform of the present invention will be described in detail below with reference to the accompanying drawings.

[0027] The cable car is driven by the driving machine to drive the steel wire rope, and the traction carriage runs along the track laid on the ground and has a certain slope. The track slope is not limited, generally 15°-25° is appropriate. The cable car line can be designed in various forms such as single track, double track, single track with wrong lane or transfer station in the middle according to the transportation volume, terrain and transportation distance. In order to make passengers ride comfortably and facilitate passengers to get on and off and load and unload goods, the seats in the compartment should be parallel to the horizontal plane and have a stepped shape. In order to ensure the safety of passengers, the cable car is equipped with a series of safety facilities.

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Abstract

The present invention relates to a big data detection method based on multi-parameter analysis, the method includes using a big data detection platform based on multi-parameter analysis to determine in real time that tourists at a preset position in the queuing area reach the waiting time required for entering a card-swiping access control terminal At this time, the platform includes a card-swiping access control terminal, tourist information recording equipment, cable car speed detection equipment and carrying capacity analysis equipment. The speed detection device is set on the cable car cable to detect the current speed of the cable car, the carrying number analysis device is used to analyze the average number of people carried by a single cable car, and the tourist information recording device is used to calculate the number of visitors based on the accumulated number of tourists entering the card-swiping access control terminal. The number of gates, and based on the number of access gates, the current speed of the cable car and the average number of people carried by a single cable car, the number of people waiting in the cable car ride area is determined.

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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G07C11/00G06K9/00G06Q50/30
CPCG06Q50/30G07C11/00G07C2011/04G06V20/53
Inventor 范秀华
Owner 北京麒麟心通网络技术有限公司
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