Campus comprehensive service management method and system based on digital twin

By applying digital twin technology and convolutional neural networks in campus canteens to monitor and optimize catering services in real time, the problem of inefficient management in the traditional management model is solved, and the rational allocation of resources and the improvement of dining experience is achieved.

CN119443919BActive Publication Date: 2025-04-29JINGCAI FUTURE INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202411470229.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-21
Publication Date
2025-04-29
Estimated Expiration
2044-10-21

AI Technical Summary

Technical Problem

The traditional campus canteen management model has problems such as single management methods, serious information silos, wasted resources and untimely response, resulting in ineffective management and poor dining experience.

Method used

The comprehensive campus service management method based on digital twins is adopted, and the electronic distribution map of the canteen is drawn through three-dimensional drawing software, monitoring points are set up and sensors are installed to monitor the number of people dining, tableware usage, food supply status and queue time in real time. Use convolutional neural network technology to establish a digital twin model, build an optimized catering service scheduling model, calculate saturation evaluation index, and trigger optimization instructions to adjust resource configuration.

Benefits of technology

It improves the automation level of canteen management, reduces human errors, realizes the rational allocation and efficient utilization of resources, improves the dining experience, and reduces the work pressure of managers.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a campus comprehensive service management method and system based on digital twins, and relates to the technical field of campus canteen service management. The method establishes a digital twin model, monitors several dining areas in the canteen, and calculates the utilization rate Rct by extracting the characteristics of the number of diners, the food supply status and the queuing time in the real-time state set of the area. This enables the system to judge in advance whether the resource allocation of each dining area is reasonable. By preprocessing and standardizing the real-time state set of the area, the food consumption rate Fcx, the table turnover coefficient Pds, the average customer action path length Zyr, the tableware equipment load rate Ssy and the saturation evaluation index Bpzs are calculated, and when the saturation evaluation index Bpzs exceeds the saturation threshold K, the system automatically calculates the imbalance rate Shs, analyzes whether the current personnel scheduling, food supply and equipment use are in a balanced state, and triggers the optimization instruction in time, thereby avoiding resource waste and service quality degradation.
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Citation Information

Patent Citations

  • Personnel behavior trajectory management method based on digital twinborn and AIoT technology

    CN116188926A

  • Water conservancy management system based on digital twinning

    CN117455242A