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Appointment queuing waiting time intelligent distribution algorithm

A waiting time and intelligent allocation technology, applied in the field of intelligent service research and application, can solve the problems of time and energy consumption of the receptionist and the reservation person

Inactive Publication Date: 2021-12-24
GUILIN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current prediction of waiting time in queue for appointment is mainly based on a large amount of historical appointment queuing data, combined with the number of people in the queue and reception efficiency to calculate the waiting time for the reservation, but this calculation method ignores the energy state of the receptionist and the randomness of the reservation time Various influencing factors such as data status have caused time and energy loss to the receptionist and the reservation person

Method used

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  • Appointment queuing waiting time intelligent distribution algorithm
  • Appointment queuing waiting time intelligent distribution algorithm
  • Appointment queuing waiting time intelligent distribution algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0042] In the embodiment of the present invention, a scenario in which a surgeon in a hospital receives an appointment patient is selected to predict and allocate appointment queuing time.

[0043] 1. Influencing factors of waiting time for appointment queuing

[0044] In order to accurately predict the waiting time for appointment queuing, analyze and list all the influencing factors that affect the waiting time for appointment queuing as shown in the table below:

[0045]

[0046] 2. Data status division:

[0047] Analyze the number of queues on weekdays, weekends and holidays, and divide them into four data states: A, B, C, and D.

[0048] data status period of time Divide date Time division A weekday peak Monday to Friday 8:40-11:30、12:40-15:20 B Weekdays and peaks Monday to Friday Earlier than 8:00, 11:30-12:40, later than 15:20 C weekend Saturday, Sunday all day D holidays Statutory holiday all day

[0049] ...

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Abstract

The invention discloses an appointment queuing waiting time intelligent distribution algorithm. Based on historical data of different data states, reception efficiency of a recipient, energy of the recipient, a random data state, a reservation person number-passing weight, a reservation person number-passing delay weight, a reservation person late factor, a reservation person event complex factor, an emergency condition factor and other influence factors, the reserved queuing time is dynamically corrected by using extended Kalman filtering on the predicted value, so that the relatively accurate reserved queuing waiting time can be calculated in various complex influence factors. The method has the advantages of being good in prediction accuracy and error distribution and high in capability of dealing with emergencies.

Description

technical field [0001] The invention relates to an intelligent time allocation algorithm, which mainly calculates the waiting time through an algorithm according to various influencing factors such as the efficiency of the receptionist, the energy of the receptionist, and the random data state of the appointment time, and intelligently generates an appointment queue. It belongs to the field of intelligent service research and application. Background technique [0002] With the rapid development of society and the ever-changing life style, people's most precious thing is precious time. How to reasonably arrange and use time has become a problem that needs to be faced every day in daily life. In the process of daily time and scheduling, most of them are used for communication and communication between people, especially for one-to-many situations, how to intelligently calculate and scientifically predict the waiting time is an effective way to save both the receptionist and th...

Claims

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Application Information

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IPC IPC(8): G06Q10/02G06Q10/06G07C11/00
CPCG06Q10/025G06Q10/06312G07C11/00G07C2011/04
Inventor 李景文王博姜建武李美璇陆妍玲
Owner GUILIN UNIVERSITY OF TECHNOLOGY
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