Intelligent equipment operation method based on big data

Abstract

The invention discloses an intelligent equipment operation method based on big data, which comprises an intelligent equipment operation system integrally adopted by the method, the intelligent equipment operation system comprises a sensing identification module, a logic calculation module and a processing main control module, the sensing identification module is used for sensing and identifying passengers or articles in a specific area, and the logic calculation module is used for processing the passengers or articles in the specific area; the logic calculation module is used for judging and calculating the opening and closing angle and the opening and closing speed of a gate fan door according to sensed and recognized data information, the sensing and recognizing module is electrically connected with the logic calculation module, the logic calculation module is electrically connected with the processing main control module, and the processing main control module is electrically connected with the processing main control module according to measured body type data of different passengers. The opening and closing angle of the gate fan door is controlled, then the distance between the passengers in line and the different distances between the passengers and the fan door are measured in real time, the change speed of the gate fan door in unit time is calculated, and the method has the advantages that the passing speed of the gate fan door is high, and time is saved.

Description

technical field [0001] The invention relates to the technical field of subway smart side doors, in particular to a method for operating smart devices based on big data. Background technique [0002] The subway self-service gate is mainly a ticket checking device for passengers to pass through the non-paying area and the paying area by themselves. To check the ticket, not only the speed is slow but also there will be missed checks. Using the subway self-service gates to check the ticket can ensure that every passenger can pass through after receiving the ticket, which greatly reduces the pressure caused by manual ticket check. The subway is a fast and convenient means of transportation. With the continuous increase of the daily flow of people, there are more and more problems in the use of the subway self-service gates. [0003] The existing gate access method is that the gate only allows one person to pass at a time, and each time the person who passes the face verification...

AI Technical Summary

Problems solved by technology

[0003] The existing gate access method is that the gate only allows one person to pass at a time, and each time the person who passes the face verification must open the gate before passing, and then close the gate after the person passes. This method will increase the waiting time for the passers-by , and in the actual use process, due to the frequent opening and closing of the gate, sometimes the gate switch is not sensitive, so that there will be situations where the passerby needs to exit the gate channel and swipe his face again to open the door normally. It can be seen that the existing There is a technical problem of low gate traffic efficiency in the technology; secondly, in order to save people's time in the process of passing, the current gates are no longer just one-way traffic, but more of a two-way traffic structure. During the peak period, in order to pass through the turnstiles faster, people will struggle with their hands, and the two-way turnstiles will swipe their cards at the same time. At this time, the turnstiles will have identification errors to a certain extent, which will waste more time. Therefore, the design of identification A smart device operation method based on big data with high sensitivity and sensitivity is necessary

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