Data transmission method, device and system, intelligent wearable equipment and storage medium

Abstract

The invention discloses a data transmission method, device and system, intelligent wearable equipment and a readable storage medium, and the method is applied to the intelligent wearable equipment, and comprises the steps: obtaining a first physiological parameter, and transmitting the first physiological parameter to a cloud server in real time; if the data transmission is interrupted, marking the physiological parameters measured after interruption, adding a timestamp to obtain second physiological parameters, and storing the second physiological parameters in a local temporary memory; afterthe data transmission is recovered, reading a second physiological parameter from the temporary memory according to the mark; synchronously sending the second physiological parameter and the physiological parameter measured at the current moment to a cloud server, so that the cloud server splices the physiological parameter based on the timestamp; and deleting the successfully sent second physiological parameter from the temporary memory. According to the method and the device, the continuity of the data can also be ensured in a scene that the network is unstable, the problem of data transmission interruption possibly occurring when the data is forwarded through the mobile terminal is avoided, and data loss is avoided.

Description

technical field [0001] The present application relates to the field of computer technology, and more specifically, to a data transmission method, device, system, a smart wearable device, and a computer-readable storage medium. Background technique [0002] The smart wearable device collects the physiological parameters of the human body and uploads the physiological parameters to the cloud. The cloud can not only store data, but also conduct in-depth analysis of data, so as to achieve the functions of pre-hospital screening and process intervention of diseases. [0003] Based on the big data stored in the cloud, with the help of the self-learning ability of artificial intelligence, the accuracy of data analysis can be greatly improved, and a large amount of data can improve the intelligence of artificial intelligence. Therefore, it is of great significance to collect a large amount of continuous data. [0004] There are a variety of smart wearable devices on the market, su...

AI Technical Summary

Problems solved by technology

When the mobile terminal is in a charging network environment, data transmission will generate corresponding traffic charges; in a no-network environment, data transmission will be interrupted, or it is not suitable to wear a mobile terminal in some sports scenarios, due to the limitation of Bluetooth transmission distance, Smart wearable devices cannot communicate with mobile terminals, which will affect the continuity of data

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