Financial self-service terminal fault diagnosis method based on decision tree learning algorithm and system thereof

A financial self-help and learning algorithm technology, applied in the complete banking system, complete banking system, computing, etc., can solve problems such as large maintenance engineering and complex fault diagnosis

Inactive Publication Date: 2017-04-26
CHINA ELECTRONICS GREAT WALL CHANGSHA INFORMATION TECH +1
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0008] The present invention provides a financial self-service terminal fault diagnosis method and system based on a decision tree learning algorithm.

Method used

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  • Financial self-service terminal fault diagnosis method based on decision tree learning algorithm and system thereof
  • Financial self-service terminal fault diagnosis method based on decision tree learning algorithm and system thereof
  • Financial self-service terminal fault diagnosis method based on decision tree learning algorithm and system thereof

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Embodiment Construction

[0049] The present invention is described in further detail in conjunction with specific embodiment:

[0050] At present, the self-service equipment used by various domestic financial institutions and banks is mainly composed of part of the components such as card reader, receipt printer, receipt printer, passbook replacement, deposit module, password keyboard, cash output module, and cash box. The main functions of each component are as follows:

[0051] Card reader: read customer bank card information, when the module fails, the self-service equipment will stop providing services to customers, and the equipment will be disabled

[0052] Receipt printer: print the business journals that occur on the self-service equipment, in case of wrong account for verification, and record the fault information of the self-service equipment in real time, which is an important means to record the operation status of the self-service equipment. When the module fails, the self-service equipm...

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Abstract

The invention discloses a financial self-service terminal fault diagnosis method based on a decision tree learning algorithm and a system thereof. The method is characterized by through collecting historical data of self-service equipment, based on a decision tree learning method, generating a decision tree of a self-service equipment state; and adopting a work operation state of each part of the self-service equipment in real time, and based on the decision tree, carrying out automatic fault diagnosis analysis according to self-service equipment state index data. A good automatic fault diagnosis analysis effect can be realized, shutdown time of the self-service equipment can be shortened, manpower cost is effectively saved and fault positioning time can be greatly shortened.

Description

technical field [0001] The invention relates to the field of financial self-service equipment, in particular to a financial self-service terminal fault diagnosis method and system based on a decision tree learning algorithm. Background technique [0002] Self-service equipment has been used in the financial industry for many years. As an electronic service channel that is not limited by time and region, it is easy to use and responds quickly. It has made great contributions to reduce operating costs and expand customer base. Therefore, financial self-service equipment has great room for development in China. At present, self-service equipment manufacturers and agent maintenance companies at home and abroad have developed some self-service equipment monitoring systems. These systems are developed for different brands of self-service equipment. 2. Record the status information of the self-service equipment: record the status information of the self-service equipment during o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G07F19/00G06K9/62
CPCG06Q10/0639G07F19/00G06F18/214
Inventor 杜妙陶圣清唐嵩邓伟张翼
Owner CHINA ELECTRONICS GREAT WALL CHANGSHA INFORMATION TECH
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