Campus card system self-service method based on fine-grained business segmentation

A self-service, campus card technology, applied in the field of campus cards, can solve problems such as solutions that have not yet been researched, and achieve the effect of optimizing economic costs, minimizing overall costs, and ensuring service experience

Active Publication Date: 2017-09-26
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The difficulty of a refined self-service system is how to establish self-service, how to achieve effectiveness and universality, and there are no mature plans for related research

Method used

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  • Campus card system self-service method based on fine-grained business segmentation
  • Campus card system self-service method based on fine-grained business segmentation
  • Campus card system self-service method based on fine-grained business segmentation

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Embodiment Construction

[0023] The present invention provides a campus card system self-service method based on fine-grained business segmentation. This method first provides the following technical feature definitions:

[0024] Technical feature definition 1: business set S and self-service business set S A . Segment and analyze the existing campus card business into the smallest independent business set S={s 1 ,s 2 ,s 3 ,...,s n},s i It can be the smallest inseparable business of campus cards such as cash, replacement card, replacement card, password change, transfer, subsidy, loss report, extension, etc., and any s i and s j There is no business relationship between them. Self-service business set S A is a subset of the business set S, including all self-service businesses, S A ∈ S.

[0025] Technical feature definition 2: service terminal T. Terminals are divided into 4 types according to the types of services they carry: dedicated terminals: terminals that carry out a single service, ...

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Abstract

The invention provides a campus card system self-service method based on fine-grained business segmentation and provides a minimum cost self-service equipment compound algorithm and a minimum cost self-service equipment compound algorithm considering the artificial substitutability on the basis of the association among the business volume, the terminal number and service experience. The algorithm can effectively guarantee the service experience of a user and minimize the overall construction cost of a self-service system. Fine-grained business segmentation is realized by constructing a minimum independent business set, a self-service model is constructed to establish the data association among the business volume, the overall cost and the service experience, and the economic construction cost of the self-service system is optimized under the condition that the service experience target and the artificial substitutability target are realized.

Description

technical field [0001] The invention relates to the field of campus cards, in particular to a self-service method for a campus card system based on fine-grained business segmentation. Background technique [0002] As an important part of the smart campus, the campus card system has extended its service tentacles to all aspects of campus life in colleges and universities. In addition to traditional services such as dining, bathing, shopping, borrowing books, boarding, access control, and bus rides, online payment Mobile Internet services characterized by mobile Internet are becoming more and more popular. The campus card system has become an indispensable part of the life of college teachers and students, providing efficient and convenient information services for college teachers and students. Similar to the banking business, the manual processing of campus card business (such as recharging, card application, deactivation, etc.) occupies a considerable proportion in the ser...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20
CPCG06Q50/20
Inventor 于磊磊黄玉
Owner SHANDONG UNIV
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