Intelligent sealing machine, cloud server and time data processing method

Abstract

An embodiment of the invention discloses an intelligent sealing machine, a cloud server and a time data processing method. The intelligent sealing machine comprises an order information reading module, a seal information reading module, a central processing module and a communication module, wherein the order information reading module is used for reading order information carried in an order billand sending the order information to the central processing module; the seal information reading module is used for reading seal information carried by seal paper in the sealing process and sending the seal information to the central processing module; the central processing module is used for binding the order information and the seal information after receiving the seal information, and transmitting the order information, the seal information and the seal time to the communication modul; after the sealing is finished; and the communication module is used for outputting the order information, the seal information and the seal time to the outside. The intelligent sealing machine outputs the order information, the sealing information and the sealing time to the outside in time after sealing is completed, so that the time is updated, manual updating by a user is not needed, the operation is simpler, more convenient and faster, the timeliness of time updating is improved, and the waitingtime of an order distribution end is shortened.

Description

technical field [0001] The embodiment of the present invention relates to the field of sealing, in particular to an intelligent sealing machine, a cloud server and a processing method for time data. Background technique [0002] When the order information involves different users with multiple identities, such as a takeaway order, involving users with multiple identities such as users, merchants, and delivery parties, users with different identities can update the order at different points in time. For example, merchants can change the status of the order to served and update the delivery time of the order by clicking on the served meal in the merchant application they use. However, in actual operation, merchants often operate a large number of meals at the same time in the merchant's application after making a large number of meals, so that the delivery time of the order is not the exact meal delivery time, which is different from the actual delivery time. There is a big d...

AI Technical Summary

Problems solved by technology

However, in actual operation, merchants often operate a large number of meals at the same time in the merchant's application after making a large number of meals, so that the delivery time of the order is not the exact meal delivery time, which is different from the actual delivery time. There is a large discrepancy in meal time

And for merchants, the place where the food is packaged after the meal is made may not be the same place as the place where the merchant-side application is actually operated, which also makes it impossible for the merchant to update the delivery time of the order in time, and even the merchant misses the operation after packing. Update order delivery time

[0003] Or estimate the delivery time of the takeaway order based on the collected order-related data. The order delivery terminal will pick up the meal from the merchant according to the estimated delivery time of the takeaway order. The estimated time cannot give an accurate reminder to the order delivery terminal. Often, after the order delivery terminal arrives at the store, it is found that the merchant has not delivered the meal, which leads to the order delivery terminal having to wait for too long, which may easily lead to disputes between the order delivery terminal and the merchant.

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