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Intelligent banknote distribution method and system

A banknote dispensing and intelligent technology, applied in the field of data processing, can solve problems such as the occupation of interest-free assets, reduce cash income, increase cash management risks, etc., and achieve the effects of improving prediction accuracy, reasonable banknote distribution scheme, and reasonable prediction results.

Inactive Publication Date: 2019-10-22
BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this will lead to the occupation of a large number of non-interest-bearing assets, reducing potential cash income and increasing cash management risks

Method used

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  • Intelligent banknote distribution method and system
  • Intelligent banknote distribution method and system
  • Intelligent banknote distribution method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] Take two situations in a network as an example:

[0081] The first case: the real value is 1 million, the predicted value is 900,000, and the gap between them is 100,000.

[0082] The second case: the actual value is 1 million, the predicted value is 1.2 million, and the gap between them is 200,000.

[0083] If you directly compare the difference between the actual value and the predicted value, the first prediction is only 100,000 worse, and the second is 200,000 worse, then the first prediction is good; but considering the actual situation, the first In this case, when preparing 900,000 yuan for outlets, because the outlets have less prepared 100,000 cash, some customers cannot withdraw money due to insufficient cash reserves at the outlets, which may cause customer complaints and complaints. Compared with this loss, outlets are more willing to choose the first one. Two situations. The present invention can comprehensively evaluate which situation is better through ...

Embodiment 2

[0085] Take the three situations that occur in a certain network as an example:

[0086] The first case: the real value is 1 million, the predicted value is 900,000, and the gap between them is 100,000.

[0087] The second case: the actual value is 1 million, the predicted value is 1.2 million, and the gap between them is 200,000.

[0088] The third case: the actual value is 1 million, the predicted value is 1 million, and the gap between them is 0 million.

[0089] Use the formulas (1), (2), and (3) to calculate the coverage rate C, utilization rate U, and evaluation value F in the three cases respectively; set β=1. in,

[0090] In the first case: C 1 = 0, f 1 = 0;

[0091] In the second case: C 2 = 1,

[0092] In the third case: C 3 = 1, f 3 = 1;

[0093] It can be seen that the best is the third case (F 3 >F 2 >F 1 ), it can be seen more intuitively that the predicted value and the actual value are the same, both being 1 million, which satisfies the user'...

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Abstract

The invention provides an intelligent banknote distribution method and an intelligent banknote distribution system. The method comprises the steps of obtaining the historical transaction data of a banknote distribution website; training the neural network model according to the historical transaction data to obtain a trained banknote distribution prediction model; evaluating the trained banknote distribution prediction model, and selecting a target banknote distribution prediction model; and predicting the cash demand of the cash distribution network according to the target cash distribution prediction model. By utilizing the method and the system, the banknote distribution amount can be predicted. The prediction result is reasonable and accurate, so that the website can meet the cash demand during withdrawal. The banknote reserve pressure is reduced to the minimum. According to the method and the system, the banknote distribution prediction model is evaluated based on the true value and the prediction value. The optimal model is selected for banknote distribution prediction. The income and risks caused by excessive and insufficient banknote distribution are comprehensively measured. The banknote distribution scheme is more reasonable, and the prediction precision of the banknote distribution prediction model is effectively improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an intelligent banknote matching method and system. Background technique [0002] In order to ensure that the cash stock of outlets and self-service equipment is sufficient, relevant personnel are often required to maintain fund quotas and add banknotes. At present, the capital quota of outlets and the amount of cash added to self-service equipment are usually determined through human experience, and in order to ensure external expenditures, it is usually achieved by increasing the inventory limit and filling up banknotes. However, this will lead to the occupation of a large number of non-interest-bearing assets, reducing potential cash income and increasing cash management risks. [0003] Therefore, there is an urgent need for an intelligent banknote allocation method that can predict the amount of banknote allocation, and the prediction is reasonable and accurate. Co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q40/00
CPCG06Q10/04G06Q10/06393G06Q10/067G06Q40/00
Inventor 张靖常成娟闫小雨赵船畯刘瑞国郭强郭钰洁李鹏刘雅兰若倩温真真毛福林刘朋强
Owner BANK OF CHINA
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