Dining demand response method and system based on voice interaction

By extracting user speech in the restaurant environment using microphone arrays and dynamic filtering masking technology, and combining it with a service conflict rule base for semantic completion and scheduling optimization, the problems of noise interference and uneven task allocation during peak dining hours are solved, thereby improving the accuracy of speech recognition and the response efficiency of restaurant services.

CN122088950APending Publication Date: 2026-05-26KUNXIANG (SHANGHAI) CATERING MANAGEMENT CO LTD
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Patent Information

Application Number
CN202610180540.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-09
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In restaurant environments during peak dining hours, existing technologies struggle to effectively suppress environmental noise interference, leading to a decrease in speech recognition rates. Furthermore, the service scheduling scheme lacks dynamic detection of the real-time status of waiters and service requests, resulting in uneven task allocation and response delays.

Method used

The system acquires the user's sound source coordinates and the frequency domain features of ambient noise through a microphone array, constructs a dynamic filtering mask for speech enhancement, performs semantic completion and scheduling optimization in conjunction with a pre-set service conflict rule base, generates a service path allocation weight table, and monitors the load coefficient in real time to trigger secondary compensation decisions.

Benefits of technology

It enables high-fidelity extraction of user voice in noisy environments, ensuring the accuracy and clarity of service instructions, and optimizes the task allocation of multiple waiters, avoiding uneven task distribution and response delays, thereby improving the overall operational efficiency of restaurant services.

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Abstract

The invention relates to the technical field of voice interaction, and discloses a dining demand response method and system based on voice interaction, and the method comprises the steps: obtaining a user sound source coordinate and an environment noise frequency domain feature of a dining demand, constructing a dynamic filtering mask based on the environment noise frequency domain feature, extracting a demand semantic segment in combination with the user sound source coordinate, and obtaining a demand semantic segment; based on a service conflict rule base, carrying out structure completion on the demand semantic fragment, generating a service element set, carrying out conflict detection on the service element set and a waiter state, generating a service path allocation weight table, and driving an interaction terminal to output a service guide instruction according to the service path allocation weight table, meanwhile, updating a dynamic load coefficient of a waiter state, monitoring the collaboration of the dynamic load coefficient and a service path allocation weight table, and triggering a secondary demand response compensation decision; according to the invention, the problems of service response delay and mistakes and omissions caused by unclear voice recognition, inaccurate semantic understanding and poor manpower scheduling in a restaurant environment can be solved.
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