Take-out scheduling system based on intelligent cloud computing

A scheduling system and cloud computing technology, applied in computing, buying/lease transactions, instruments, etc., can solve problems such as different temperature requirements, unschedulable, loss of food value, etc., to achieve the effect of ensuring safety

Inactive Publication Date: 2019-04-19
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the known food delivery scheduling system only has the function of receiving and delivering orders, and does not have the function of selecting delivery personnel like taxi-hailing platforms. As a result, the delivery status in most cases is that a delivery delivery person is responsible for an area. Food delivery tasks on various platforms
The entire delivery process is completely determ

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0016] Example 1:

[0017] A food delivery dispatching system based on intelligent cloud computing includes a dispatch server and a client. The dispatch server has built-in detailed block diagrams of the local area and can be updated in real time. The delivery staff can also choose to submit new information in this trip to the dispatch server. It is found that all product entries of various catering companies that have signed up to this platform’s scheduling system include information on the name of the dish, price, best eating time, and recommended storage method; the scheduling server uses the obtained take-out delivery tasks and sets the customer’s longest Waiting time constraints, combine various tasks into task groups, and assign them to various delivery personnel;

[0018] The client is mounted on a smart portable device. The smart portable device at least needs to display the delivery task and the delivery plan. After the delivery person selects the delivery task, the work mode

Example Embodiment

[0019] Example 2:

[0020] On the basis of Example 1, the new discoveries in the itinerary include some streets under construction, temporary closures, traffic jams, some new community names, and some shortcut information. The smart portable device is a smart phone or a tablet computer equipped with an IOS system. The smart portable device is a smart phone or a tablet computer equipped with an Android system. The dispatch server can allocate the order to the dispatcher who can be delivered on time according to the best eating time information provided by the merchant and the real-time location of the dispatcher, and give a recommended route at the same time. The dispatch server can obtain the real-time location of the delivery person from the smart portable device, and if the delivery person's itinerary deviates from the recommended route, it records the delivery person and reduces the delivery level of the delivery person at the same time. The dispatch server dispatches different

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PUM

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Abstract

The invention discloses a take-out scheduling system based on intelligent cloud computing. The system comprises a scheduling server and a client, the scheduling server is internally provided with a detailed block diagram of the local area and can be updated in real time, and a deliverer can also select to submit new discovery in the journey to the scheduling server and sign all products of each catering enterprise of the scheduling system of the platform to be input and comprises information of dish names, prices, optimal eating time and suggested storage modes; And the scheduling server combines the tasks into a task group through the obtained take-out delivery task by setting the constraint of the longest waiting time of the customer, and distributes the task group to each deliveryman. According to the dispatching system, an optimal distribution scheme can be given intelligently, and the trouble that a distributor finds a route by himself/herself is omitted; The task amount and theoretical delivery time of each deliveryman in the peak period can be consistent as much as possible, and it can be guaranteed that the waiting time of each customer in the dining peak period is short.

Description

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Claims

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Application Information

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Owner HOHAI UNIV
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