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Task processing method of intelligent dining

A technology of task processing and processing methods, which is applied in the field of task processing of smart catering, and can solve problems such as the inability to optimize the serving speed

Inactive Publication Date: 2013-05-15
WUXI NANLIGONG TECH DEV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

By comparing the above algorithms, it is concluded that the priority scheduling algorithm and the multi-level feedback queue scheduling algorithm are the most feasible for optimizing the speed of restaurant serving, but also because of the difference between cooking and computers, neither of the above algorithms can be directly used. Optimize serving speed

Method used

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  • Task processing method of intelligent dining

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] Such as figure 1 Shown, a kind of technical solution that realizes the object of the present invention comprises the following parts:

[0031] 1 Classification of the cooking time of a dish

[0032] Restaurants of different sizes have different manpower and hardware facilities (such as chefs, stoves, etc.). This algorithm needs to classify according to the number of stoves that can work at the same time. The larger the restaurant, the finer the cooking time. The classification of cooking time does not affect the principle of this algorithm. For the sake of illustration, here we only assume that there are three stoves, corresponding to three categories: less than 5 minutes, 5 minutes to 15 minutes, and more than 15 minutes. The cooking time is the first indication on each dish.

[0033] 2 Set up a multi-level feedback queue for each category

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Abstract

The invention discloses a task processing method of intelligent dining. Multiple multi-level feedback queue arithmetic of decision models without being seized is used to carry out restaurant serving orders. Firstly, classifying time of a course cooking, according to the number of stoves which can work at the same time, classifying the cooking time; then, arranging a multi-level feedback queue to classification of each time, each stove corresponds to a multi-level feedback queue, dishes corresponding to the classification are ordered and then enter into the multi-level feedback queue. The task processing method of the intelligent dining is based on the multi-level feedback queue arithmetic, a concept of priority is added, and a process scheduling algorithm is amended according to practical situations, so that task processing method of the intelligent dining can be practically applied in serving meals. Compared with traditional experience-type serving orders, the multi-level feedback queue arithmetic is capable of reducing conditions of overlong time of customers waiting serving and optimizing the serving orders.

Description

technical field [0001] The invention relates to the field of computer applications and operating systems, in particular to a method for optimizing the serving speed of restaurants, and in particular to a task processing method for intelligent catering. [0002] Background technique [0003] When going to a restaurant to eat, many people may have encountered such a situation. The food has not been served for a long time, and there is no response after repeated reminders. This situation is unfavorable for both customers and restaurants. Customers lose time and mood, and restaurants lose word of mouth. [0004] According to the market survey, many restaurants have the problem of slow serving speed, so the "slow serving speed" problem has become a common problem in many restaurants, and the demand for solutions for serving speed is also increasing. The process scheduling in the field of operating systems has something in common with serving food in restaurants. [0005] At...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/12
Inventor 李千目戚湧陈海晨侯君张宏
Owner WUXI NANLIGONG TECH DEV
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