mobile intelligent terminal payment method and system based on low-power-consumption Bluetooth

Abstract

The invention discloses a mobile intelligent terminal payment method and system based on low-power-consumption Bluetooth. The method comprises the following steps: (a) connecting a cashier payment terminal with external Bluetooth communication equipment; (b) inputting order information into the cashier payment terminal, and establishing local wireless connection through the external Bluetooth communication equipment and a mobile intelligent terminal; (c) requesting for the cashier payment terminal to obtain the order information by the mobile intelligent terminal; and (d) connecting the mobile intelligent terminal with a payment platform to acquire account information after the order information is received, transmitting the account information to the cashier payment terminal, wherein the cashier payment terminal is connected with the payment platform, and performing payment authorization according to the acquired account information. According to the mobile intelligent terminal payment method and system based on low-power-consumption Bluetooth provided by the invention, a cashier system is combined with online payment of the mobile intelligent terminal, and the conventional cashier system is not needed to be transformed, so that the convenience and intelligent selection of transaction and payment are greatly improved.

Description

technical field [0001] The present invention relates to a mobile payment method and system, in particular to a mobile intelligent terminal payment method and system based on low-power bluetooth. Background technique [0002] By using Bluetooth low energy technology (also known as Bluetooth Low Energy, Bluetooth4.0 or Bluetooth Smart), the Beacon base station can create a signal area. When a mobile smart terminal supporting Bluetooth low energy enters the area, the corresponding application The program then prompts the user for a predetermined message. [0003] For example, if a user walks into a store in a large shopping mall with a mobile phone, it means that the mobile phone has entered the Beacon signal area of ​​the store. Then the Beacon base station can transmit the Beacon ID information to the mobile phone. The mobile phone downloads the data of the merchant corresponding to the Beacon ID from the server, such as coupons or in-store navigation information. Even whe...

AI Technical Summary

Problems solved by technology

[0013] It can be seen from the above that the main disadvantages of the prior art are as follows: 1. High management cost: the traditional Beacon is an independent device

If you need to change the information, you must connect and reset it individually; 2. The maintenance cost of the hardware (battery) is high: the traditional Beacon device has a built-in button battery, and the average battery life is about 1-2 years. When the battery life is exhausted, you will face countless Tens of thousands of devices need to replace batteries, which increases subsequent maintenance costs; 3. Sending fixed IDs is easy to forge: traditional Beacon devices have fixed IDs, and the fixed ID is used as the identification code in the transmission process with the user's mobile APP, so The device ID is very easy to obtain, and the corresponding information of the background system can be obtained by forging the device ID; 4. Unable to connect to the acquiring machine for payment: the traditional Beacon Bluetooth device does not yet support the connection to the acquiring machine, so it is impossible to complete the process from sales to purchase the entire process

This has become the main obstacle for the vast majority of merchants in the market to introduce this technology; 5. Marketing platform information cannot be directly integrated with consumption data: At present, Beacon device push information is still limited to product information, discount information, location information services, etc., and has not been integrated with The combination of acquiring machines and online payment makes it impossible for merchants to obtain information such as whether users have completed shopping and the amount of consumption, thus failing to meet the later needs of merchants for data analysis, precision marketing, and event promotion.

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