Data processing method of intelligent wearable device based on cloud computing non-database architecture

Abstract

The present invention discloses a data processing method based on a cloud computing non-database architecture. The method is applied to an intelligent wearable device, discards the database as an intermediate layer, and directly uses the cloud computing service standing cache and object storage services for data exchange with the intelligent terminal. At the same time, a data mining system runningautomatically with a certain period is designed for data analysis. The data processing method does not affect the performance of the overall scheme since the method does not directly exchange data with the intelligent terminal; and the data processing method has higher scalability, can adapt to the rapid increase of the number of terminal devices, and greatly reduces the maintenance cost.

Description

technical field [0001] The present invention relates to the technical field of smart wearable devices, in particular to a data processing method for smart wearable devices based on cloud computing non-database architecture. Background technique [0002] With the popularization of smart wearable devices, such as smart bracelets, smart watches, smart helmets, smart glasses, smart heart rate monitors, etc., a large amount of data is generated, such as: geographic location information, health information of the carrier, and sports information. Both showed exponential growth. However, due to the weight and energy consumption limitations of smart wearable devices, most of the data can only be stored and analyzed through remote servers. There are currently two main data processing methods: [0003] The first category: the server side is a centralized relational (SQL) database, that is, all terminal devices read and write data to a high-performance server. In the server, the unde...

AI Technical Summary

Problems solved by technology

However, the shortcomings of this method are: (1) Poor scalability, unable to meet the needs of rapid growth in the number of terminal devices; (2) Low read and write performance, especially unable to adapt to high-concurrency scenarios, which will result in the operation of smart bracelets in actual use Slowness or even system lockup greatly reduces customer experience; (3) The high cost of server hardware and maintenance also leads to high overall cost of the final product

Compared with the first type of data processing method, the second type of data processing method has better scalability and read and write performance, and the hardware cost has also decreased, but due to the lack of perfect data analysis tools, it cannot provide good data analysis services

At the same time, as the number of terminal devices further increases, the maintenance cost of this type of system will also increase rapidly, resulting in a gradual decline in scalability in practical applications

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