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Store customer flow volume predicting method

A forecasting method and passenger flow technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as low effectiveness and unstable offline passenger flow statistics methods, and achieve improved accuracy, improved accuracy and stability, cost reduction effect

Active Publication Date: 2018-10-16
NANJING UNIV OF POSTS & TELECOMM
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies in the prior art, provide a shop passenger flow forecasting method, improve the accuracy and diversity of the results, and solve the problem of instability and low effectiveness of the current offline passenger flow statistics method

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0043] The problem solved by the present invention is aimed at the problem that the current collection, analysis and prediction of the passenger flow in offline stores is inaccurate and cannot be organically unified. Under the premise that mobile devices have become popular at present, the MAC address of the mobile device is identified by using the information of the connection and interaction between the mobile device carried by the customer and the AP (wireless access point, such as WIFI hotspot) in the store, and based on this MAC address address to identify customers. The idea of ​​the technical solution of the present invention is: by analyzing and judging the information collected by the ...

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Abstract

The invention discloses a store customer flow volume predicting method. The store customer flow volume predicting method comprises the steps of firstly, collecting an MAC address and the signal intensity through frame interaction between mobile equipment which is carried by a customer and an AP, next, converting the signal intensity into an actual distance, converting the actual distance into a source record through pretreatment, then analyzing the behavior of the customer to obtain an access record of the customer, and finally analyzing the access record of the customer to obtain the customerflow volume condition of a store. By the adoption of the store customer flow volume predicting method, the analysis cost of the off-line store customer flow volume is effectively reduced, the accuracy and diversity of the analysis result are effectively improved, and the problems of instability and low effectiveness of a current off-line customer flow volume statistic method are solved.

Description

technical field [0001] The invention relates to a method for predicting passenger flow in a shop, and belongs to the technical field of passenger flow analysis and prediction. Background technique [0002] In commercial activities, the ability to collect, analyze and predict passenger flow has a significant impact on the refined operation of the business, and it provides a comprehensive data reference for evaluating business performance and formulating marketing plans. With the development and popularization of Internet of Things technology, how to efficiently collect passenger flow information and fully mine passenger flow information in offline stores is getting attention. However, there is still a lack of a set of methods in China that run through the entire process from passenger flow collection to passenger flow analysis and prediction. At present, there are two mainstream offline passenger flow collection methods: infrared sensor passenger flow statistics and gravity s...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06Q30/0202
Inventor 於同徐小龙顾顺华吴圆圆孙雁飞
Owner NANJING UNIV OF POSTS & TELECOMM