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Artificial intelligence-based dining management system for smart clean energy restaurant

A clean energy and management system technology, applied in the direction of control/regulation system, data processing application, and simultaneous control of multiple variables, to achieve the effects of reducing air pollution, reliable detection results, and avoiding misjudgment and false alarm

Pending Publication Date: 2018-07-20
郭树军
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the shortcomings of the existing dining management system, the present invention proposes a dining management system for smart clean energy restaurants based on artificial intelligence that is specially suitable for new energy enterprises, so as to solve the above-mentioned problems in the prior art

Method used

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  • Artificial intelligence-based dining management system for smart clean energy restaurant
  • Artificial intelligence-based dining management system for smart clean energy restaurant
  • Artificial intelligence-based dining management system for smart clean energy restaurant

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Embodiment Construction

[0046] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0047] see figure 1 , an embodiment of the present invention provides a meal management system for a smart clean energy restaurant based on artificial intelligence, which includes: a clean energy power generation system, a plurality of seat sensor units, a wireless communication unit, a restaurant number detection device, a disposal device, restaurant robots and restaurant drones;

[0048] The clean energy power generation system includes a photovoltaic power generation device, a hydrogen power generation device and a wind power generat...

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Abstract

The embodiments of the present invention provide an artificial intelligence-based dining management system for a smart clean energy restaurant. The system includes a clean energy power generation system, a plurality of table sensing units, a wireless communication unit, a restaurant people quantity detection device, a processing device, a restaurant robot and a restaurant unmanned aerial vehicle;each table sensing unit is used for detecting the occupancy and idle state of a corresponding table; the restaurant people quantity detection device detects the quantity of people who dine in the restaurant at present; the processing device generates a current real-time table state diagram and the availability rate of the restaurant according to the identifiers and state data of tables, and the identifiers of tables which are in reserved states, and obtains the quantity of users who dine currently; the restaurant robot is used for displaying the real-time table state diagram, the availabilityrate, and the quantity of the users who dine currently in the restaurant, and interacts with users through a voice interaction mode; the restaurant unmanned aerial vehicle is used for monitoring an environment inside the restaurant and performing early warning. With the system adopted, dining experience can be optimized, time for searching tables can be saved, and a dining environment can be improved.

Description

technical field [0001] The present invention relates to the technical field of meal management systems, in particular, the present invention relates to a meal management system for smart clean energy restaurants based on artificial intelligence. Background technique [0002] At present, large enterprises are generally equipped with large restaurants for thousands of people, but the capacity and flow of restaurants are limited, and the number of diners in enterprises is much higher than the capacity of restaurants. The cost of building new restaurants is high, and the relationship between dining demand and restaurant capacity There are contradictions and a series of problems. [0003] For example, during the peak meal period at noon, a large number of employees poured into the restaurant, causing the restaurant to be overcrowded and the queuing time is too long. How to avoid the meal peak and control the reasonable flow of people is a problem that enterprises need to solve. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/12G05D27/02
CPCG05D27/02G06Q50/12
Inventor 郭树军
Owner 郭树军
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