Business volume prediction method, device and equipment

A forecasting method and business volume technology, applied in the computer field, can solve problems such as time delay, multiple human resources, consumption, etc., and achieve the effect of reducing time delay and liberating human resources

Active Publication Date: 2019-08-23
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of scheduling service equipment based on experience, manual participation is required, resulting in more human resource consumption. Moreover, the number of user visits or data processing pressure needs to be detected in real time. In this way, there will be problems in scheduling service equipment. Time delay, which causes the service equipment to deal with a surge in pressure in a short period of time

Method used

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  • Business volume prediction method, device and equipment
  • Business volume prediction method, device and equipment
  • Business volume prediction method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] Such as figure 1 As shown, the embodiment of this specification provides a traffic forecasting method, and the execution body of the method may be a terminal device or a server, wherein the terminal device may be a mobile terminal device such as a mobile phone or a tablet computer, or a personal computer, etc. Device, the server can be an independent server, or a server cluster composed of multiple servers, etc., the server can be used to predict business volume, and adjust the number of service devices for one or more businesses, etc. . The method can be used to predict the business volume of one or more services, and adjust the quantity of corresponding service equipment based on the predicted business volume. The method specifically may include the following steps:

[0061] In step S102, service data of a target service to be predicted is acquired.

[0062] Wherein, the target business may be any business, such as payment business, shopping business or insurance b...

Embodiment 2

[0079] Such as image 3As shown, the embodiment of this specification provides a traffic forecasting method, and the execution body of the method may be a terminal device or a server, wherein the terminal device may be a mobile terminal device such as a mobile phone or a tablet computer, or a personal computer, etc. Device, the server can be an independent server, or a server cluster composed of multiple servers, etc., the server can be used to predict business volume, and adjust the number of service devices for one or more businesses, etc. . The method can be used to predict the business volume of one or more services, and adjust the quantity of corresponding service equipment based on the predicted business volume. The method specifically may include the following steps:

[0080] In step S302, historical data of the target business is acquired.

[0081] Among them, the historical data can include the data generated by the target business in any period of time or at any t...

Embodiment 3

[0121] The above is the traffic forecasting method provided by the embodiment of this specification. Based on the same idea, the embodiment of this specification also provides a traffic forecasting device, such as Figure 4 shown.

[0122] The forecasting device of the business volume includes: a business data acquisition module 401, a first period type determination module 402, a first feature extraction module 403 and a prediction module 404, wherein:

[0123] A business data acquisition module 401, configured to acquire the business data of the target business to be predicted;

[0124] The first cycle type determination module 402 is configured to determine the business cycle type corresponding to the business data;

[0125] The first feature extraction module 403 is configured to perform feature extraction on the business data according to the business cycle type corresponding to the business data, and obtain the first feature under the business cycle type corresponding t...

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Abstract

The embodiment of the invention discloses a business volume prediction method and device, and equipment. The method comprises the following steps: acquiring business data of a to-be-predicted target business; determining a service period type corresponding to the service data; performing feature extraction on the service data according to the service cycle type corresponding to the service data toobtain a first feature under the service cycle type corresponding to the service data; and inputting the first feature into a pre-constructed business prediction model corresponding to the business period type for calculation to obtain a business volume prediction result of the target business.

Description

technical field [0001] This specification relates to the field of computer technology, and in particular to a traffic forecasting method, device and equipment. Background technique [0002] Usually, the number of users using different services may be different, and the number of user visits under the same service at different time points or time periods may also be different. Moreover, in order to ensure that each service can carry different user visits, you can provide The business sets up multiple service devices (such as servers, etc.), and each of the multiple service devices can provide users with services related to the corresponding business. However, in actual situations, not every business They are all running at full capacity. During certain periods of time, the number of user visits to a certain business will be small, and during certain periods of time, the number of user visits to this business will be large. In order to save resources, it is necessary to implem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/0631
Inventor 刘晓旭
Owner ADVANCED NEW TECH CO LTD
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