Health mobile monitoring platform power saving method focusing on Android mobile phone terminal

Abstract

The invention provides a health mobile monitoring platform power saving method focusing on an Android mobile phone terminal. Through analysis of the power consumption condition of an Android mobile phone on a wireless network module, physiological data transmission quantity is reduced, small data is packaged as much as possible, network connection times are reduced, the network transmission powerconsumption of the Android mobile phone is optimized, power consumption of a mobile terminal wireless network module is optimized in detail from four technical levels of data arrangement format, physiological data compression, Android cache management and reuse connection of a hypertext transfer protocol. The problem that the endurance time of an Android mobile phone terminal applied to a health mobile monitoring platform is too short due to the fact that the size is small and electric energy which can be provided by a battery is very limited is successfully solved, the endurance time of the mobile phone is guaranteed, the mobile phone is successfully applied to a health mobile monitoring platform, the user experience is greatly improved, and obvious effectiveness, advancement and practicability are achieved.

Description

technical field [0001] The invention relates to a power saving method focusing on an Android mobile phone terminal, in particular to a power saving method for a health mobile monitoring platform focusing on an Android mobile phone terminal, and belongs to the technical field of power saving of mobile devices. Background technique [0002] With the rapid development of computer software and hardware technology, various wearable devices in the field of mobile health monitoring are booming. Using smart phone terminals, various physiological data of users can be collected and uploaded to the health mobile monitoring platform of the server through the mobile network. Physical health can be monitored in real time, and relevant health care suggestions can be put forward in time. However, due to the small size of the mobile phone device, the power that can be accommodated is very limited. Whether the mobile phone of the health data monitoring and collection system can reduce power c...

AI Technical Summary

Problems solved by technology

However, if smart phones are used on the health mobile monitoring platform, the power consumption of the smart phone will be greater, and the pressure to ensure the battery life will be greater. Reducing the power consumption of the smart phone is the key to whether it can be successfully applied to the health mobile monitoring platform. The key, the existing technology cannot solve the high power consumption problem of the Android mobile terminal of the health mobile monitoring platform

[0011] The second is that there are three main low-power optimization technologies for mobile devices in the existing technology: dynamic power management, dynamic voltage and frequency management, and power consumption reduction from the operating system level, but these three power-saving methods for mobile devices are only the most basic methods. The power-saving effect is very limited, and it cannot solve the high power consumption problem of the Android mobile phone terminal of the health mobile monitoring platform; and the existing technology migrates the energy-consuming part to the cloud for execution through cloud computing, reducing the amount of calculation of the mobile device, and the cloud only returns the result For the mobile terminal, the method of saving mobile device resources and achieving the purpose of power saving is completely unsuitable for the frequent, fragmented, real-time, and changing working conditions of the Android mobile terminal of the health mobile monitoring platform. Cloud computing is used in program migration and return results. The process is very restricted by the current network environment. Most of the Android mobile phone terminals of the health mobile monitoring platform are in a mobile network environment with unstable signals. Weak signal strength will cause frequent reconnections of the mobile network, resulting in rapid power consumption.

[0012] Third, the optimization of terminal network power consumption in the existing technology also mainly focuses on the improvement of network protocols and the selection of low-power devices. The optimization around the improvement of network protocols is relatively complicated in implementation, and low-power devices are selected. Restricted by the development of hardware, the physiological data compression method of health mobile monitoring is generally not universal and cannot adapt to different data. There are still many problems in the existing technology for the optimization of terminal network power consumption applied to the Android mobile phone terminal of the health mobile monitoring platform. Large limitations, most of them cannot be applied, and it will not save power after being directly applied, and has almost no practical value

[0013] Fourth, the existing technology does not have any processing method at the level of physiological data compression, and the compression of heart rate is intelligent and simple common compression method, and heart rate pre-adjustment processing is not performed before compression, and the selection of compression method has not been developed in combination with health monitoring data. And the actual measurement, the efficiency is obviously very low, unable to effectively reduce data compression and transmission power consumption

Without analyzing the power consumption of Android mobile phones on the wireless network module, reducing the amount of physiological data transmission, packing small data as much as possible, and reducing the number of network connections, the network transmission power consumption of Android mobile phones cannot be optimized

There is no good power-saving optimization solution in the four technical aspects of data layout format, physiological data compression, Android cache management and multiplexed connection of hypertext transfer protocol

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