Intelligent dinner plate scheduling and pricing method, medium and equipment

By using multi-source sensing data fusion identification and spatiotemporal prediction models, dynamic meal preparation and scheduling instructions are generated, solving the problem of improper resource scheduling in the catering system and realizing efficient resource utilization and waste reduction in restaurant operations.

CN122089423APending Publication Date: 2026-05-26FUJIAN KUKU E-COMMERCE CO LTD +1
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Patent Information

Application Number
CN202610525325.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-21
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing catering systems lack deep integration and proactive utilization of multi-source sensing data, making it impossible to dynamically predict and allocate restaurant operation resources in real time. This results in insufficient or excessive food preparation and inefficient tray scheduling, hindering the optimization of resource utilization.

Method used

By receiving unique identification information of the plates, image data of the food pick-up area, and weight change data, multimodal fusion recognition is performed to generate binding pricing information. Dynamic meal preparation suggestions and supplementary scheduling instructions are generated using a spatiotemporal prediction model. Resource allocation is executed by calling production and logistics interfaces. The status of plate recycling is collected in real time, and waste is generated through visual analysis of residue.

Benefits of technology

It has achieved closed-loop management from consumer perception to dynamic prediction of production resources and real-time scheduling of plates, which has improved operational efficiency and reduced resource waste.

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Abstract

The invention discloses an intelligent dinner plate scheduling and pricing method, a medium and equipment, and the method comprises the steps: receiving multi-source sensing data which comprises the unique identification information of dinner plates, the image data of a meal taking region and the weight change data of the dinner plates, and carrying out the multi-modal fusion recognition, so as to generate binding pricing information; on the basis of the bound pricing information and historical consumption data, dynamic meal preparation suggestions and supplementary scheduling instructions are generated through a space-time prediction model, and then corresponding interfaces are called to execute resource allocation and collect dinner plate recovery state data; and finally, performing residue visual analysis on the dinner plate recovery state data to generate a waste report and outputting the waste report. According to the invention, closed-loop intelligent management from consumption perception and intelligent pricing to production resource dynamic prediction and dinner plate real-time scheduling is realized, the operation efficiency is improved, and resource waste is reduced.
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