阅读说明：本技术 一种可穿戴设备的数据传输方法及系统 (Data transmission method and system of wearable device ) 是由 葛祥旭 于 2021-11-30 设计创作，主要内容包括：本发明提供了一种可穿戴设备的数据传输方法及系统,所述方法包括可穿戴设备实时获取用户的体征数据,并对所述体征数据进行评估过滤,判断体征数据的状态；基于所述状态,以及包括可穿戴设备电池电量在内的影响参数,动态计算体征数据上传的时间间隔；可穿戴设备基于所述时间间隔,将体征数据上传至大数据平台。本发明对于采集到的实时体征数据,在可穿戴设备端首先进行初步过滤处理,分析数据的状态,并基于状态、可穿戴设备电池的剩余电量等影响因素,计算动态上传周期,在状态正常时,采用低频模式上传数据到大数据平台,状态异常时,采用高频模式上传数据到大数据平台,满足实时性和完整性要求,同时保障了用户安全。(The invention provides a data transmission method and a data transmission system of wearable equipment, wherein the method comprises the steps that the wearable equipment acquires physical sign data of a user in real time, evaluates and filters the physical sign data, and judges the state of the physical sign data; dynamically calculating the time interval of uploading sign data based on the state and the influence parameters including the battery power of the wearable device; and the wearable device uploads the sign data to a big data platform based on the time interval. According to the invention, the collected real-time sign data is firstly subjected to preliminary filtering processing at the wearable device end, the state of the data is analyzed, and the dynamic uploading cycle is calculated based on the state, the residual electric quantity of the wearable device battery and other influence factors, when the state is normal, the data is uploaded to the big data platform in a low-frequency mode, and when the state is abnormal, the data is uploaded to the big data platform in a high-frequency mode, so that the requirements of real-time performance and integrity are met, and meanwhile, the safety of a user is ensured.)

1. A data transmission method of wearable equipment is characterized by comprising the following steps:

the wearable device acquires the sign data of a user in real time, evaluates and filters the sign data, and judges the state of the sign data;

dynamically calculating the uploading period of the sign data based on the state and the influence parameters including the battery power of the wearable equipment;

and the wearable equipment uploads the sign data to a big data platform based on the uploading period.

2. The data transmission method of the wearable device according to claim 1, wherein the evaluation filtering of the vital sign data comprises data threshold range evaluation, steady-state data change rate evaluation, and static data change rate evaluation.

3. The data transmission method of the wearable device according to claim 2, wherein the steady state data change rate evaluation is specifically:

and performing steady state deviation calculation on the currently acquired sign data and the last acquired value, and considering that the state of the sign data is abnormal when the calculation result exceeds a preset deviation threshold value.

4. The data transmission method of the wearable device according to claim 2, wherein the static data change rate evaluation is specifically:

continuously collecting n times of sign data, calculating the accumulated deviation of the n times of collected values, and considering that the state of the sign data is abnormal when the calculated result exceeds the preset accumulated deviation.

5. The data transmission method of wearable device of claim 1, wherein the impact parameters further include a period of work performed by a current wearable device user.

6. The data transmission method of the wearable device according to claim 5, wherein the specific process of dynamically calculating the time interval for uploading the sign data is as follows:

acquiring the residual electric quantity of a wearable device battery in real time, and calculating the electric quantity consumed by single uploading data based on the battery electric quantity at the beginning of the operation, the current battery electric quantity and the conventional work power consumption;

recording the operation time of a user, and calculating the residual operation time according to the preset operation period;

calculating the effective times of data uploading in the remaining operation time based on the current remaining electric quantity, the conventional work power consumption and the electric quantity consumed by single data uploading to obtain a dynamic period of data uploading;

if the current state of the physical sign data is normal, the uploading period of the physical sign data is not less than the dynamic period, and if the current state of the physical sign data is abnormal, the dynamic period is several times of the uploading period of the physical sign data according to the serious condition of the abnormal state.

7. The data transmission method of the wearable device according to claim 6, wherein the wearable device uploads the time interval to a big data platform while uploading the sign data.

8. A data transmission system of wearable equipment is characterized by comprising the wearable equipment and a big data platform; the wearable device comprises an information acquisition unit, a data processing unit and a communication unit;

the information acquisition unit acquires physical sign data of a user in real time;

the data processing unit evaluates and filters the sign data and judges the state of the sign data; dynamically calculating the uploading period of the sign data based on the state and the influence parameters including the battery power of the wearable equipment;

and the communication unit uploads the physical sign data to a big data platform based on the uploading period.

9. The data transmission system of the wearable device according to claim 8, wherein the information collection unit comprises a plurality of sign data collection sensors and a positioning module, which respectively collect the body temperature, heart rate, blood pressure value and position information of the user; the communication unit adopts one of 2G, 3G, 4G, 5G, NB-IOT or Beidou data message transmission networks.

10. A computer storage medium having computer instructions stored thereon, which when run on a system according to claim 8 or 9, cause the system to perform the steps of the method according to any one of claims 1-7.

Technical Field

The invention relates to the technical field of wireless communication, in particular to a data transmission method and system of wearable equipment.

Background

With the development and progress of the era, the society gradually enters the era of internet of things and big data, the basis of big data application is data acquisition, and especially in the field of monitoring human vital signs such as wearable terminal equipment, the uploaded data of the wearable terminal equipment is required to have real-time performance and integrity.

At present, various sensors acquire more and more abundant data, and big data application follows the data, so people consider that various devices and sensors are directly connected to the internet to facilitate data acquisition, management and analysis and calculation. Aiming at certain specific fields, particularly the fields of traffic, medical treatment and the like, monitoring of various sign parameters based on big data effectively avoids irreparable consequences caused by sudden diseases. However, people as the target object of monitoring have unpredictable mobility, implement the periodicity of operation activity and its power supply ability of carrying wearable monitoring terminal characteristics such as the insecurity. On the other hand, the basis of monitoring of various physical sign parameters based on big data is real-time, effective and complete, and wearable terminal equipment for collecting various parameters of a monitored target object is required to upload data in real time, effectively and completely. Therefore, irreconcilable contradictions exist between the limited capacity battery carried by the wearable monitoring terminal and the real-time, effective and complete data transmission.

In current practical application, the collection and uploading frequency of wearable terminal equipment to data can be reduced, so that the power consumption consumed by the wearable equipment in the data uploading process can be reduced, and the requirement that the wearable terminal equipment can normally work in the whole period of the operation activity implemented by a user can be met preferentially. The method sacrifices the requirements of the big data platform on the real-time performance and the integrity of user data monitoring, and cannot ensure the continuity requirements of data monitoring aiming at data needing real-time monitoring, such as position information, blood oxygen, blood pressure and the like, so that the accuracy and the real-time performance of a big data analysis and early warning model are greatly reduced. Therefore, a low-power-consumption data transmission scheme such as NB-IOT is also proposed in the prior art, but the low-power-consumption transmission scheme further limits the bandwidth and rate of data transmission of the wearable terminal device, and still causes the decrease of the real-time performance and integrity of data uploading of the wearable terminal device.

Disclosure of Invention

The invention provides a data transmission method and system of wearable equipment, which are used for solving the problems of insufficient real-time performance and integrity of data uploading of the existing wearable equipment.

In order to achieve the purpose, the invention adopts the following technical scheme:

the invention provides a data transmission method of wearable equipment in a first aspect, which comprises the following steps:

the wearable device acquires the sign data of a user in real time, evaluates and filters the sign data, and judges the state of the sign data;

dynamically calculating the uploading period of the sign data based on the state and the influence parameters including the battery power of the wearable equipment;

and the wearable equipment uploads the sign data to a big data platform based on the uploading period.

Further, the evaluation filtering of the sign data comprises data threshold range evaluation, steady-state data change rate evaluation and static data change rate evaluation.

Further, the steady-state data change rate evaluation specifically includes:

and performing steady state deviation calculation on the currently acquired sign data and the last acquired value, and considering that the state of the sign data is abnormal when the calculation result exceeds a preset deviation threshold value.

Further, the static data change rate evaluation specifically includes:

continuously collecting n times of sign data, calculating the accumulated deviation of the n times of collected values, and considering that the state of the sign data is abnormal when the calculated result exceeds the preset accumulated deviation.

Further, the impact parameters further include a period of a job performed by a current wearable device user.

Further, the specific process of dynamically calculating the time interval for uploading the sign data is as follows:

acquiring the residual electric quantity of a wearable device battery in real time, and calculating the electric quantity consumed by single uploading data based on the battery electric quantity at the beginning of the operation, the current battery electric quantity and the conventional work power consumption;

recording the operation time of a user, and calculating the residual operation time according to the preset operation period;

calculating the effective times of data uploading in the remaining operation time based on the current remaining electric quantity, the conventional work power consumption and the electric quantity consumed by single data uploading to obtain a dynamic period of data uploading;

if the current state of the physical sign data is normal, the uploading period of the physical sign data is not less than the dynamic period, and if the current state of the physical sign data is abnormal, the dynamic period is several times of the uploading period of the physical sign data according to the serious condition of the abnormal state.

Further, the wearable device uploads the time interval to a big data platform while uploading the sign data.

The invention provides a data transmission system of wearable equipment in a second aspect, which comprises the wearable equipment and a big data platform; the wearable device comprises an information acquisition unit, a data processing unit and a communication unit;

the information acquisition unit acquires physical sign data of a user in real time;

the data processing unit evaluates and filters the sign data and judges the state of the sign data; dynamically calculating the uploading period of the sign data based on the state and the influence parameters including the battery power of the wearable equipment;

and the communication unit uploads the physical sign data to a big data platform based on the uploading period.

Furthermore, the information acquisition unit comprises a plurality of sign data acquisition sensors and a positioning module, and the sign data acquisition sensors and the positioning module are used for respectively acquiring the body temperature, the heart rate, the blood pressure value and the position information of the user; the communication unit adopts one of 2G, 3G, 4G, 5G, NB-IOT or Beidou data message transmission networks.

A third aspect of the invention provides a computer storage medium having stored thereon computer instructions which, when run on the system, cause the system to perform the steps of the method.

The data transmission system of the wearable device according to the second aspect of the present invention can implement the methods of the first aspect and the implementation manners of the first aspect, and achieve the same effects.

The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:

1. according to the invention, the collected real-time sign data is firstly subjected to preliminary filtering processing at the wearable device end, the state of the data is analyzed, and the dynamic uploading cycle is calculated based on the state, the residual electric quantity of the wearable device battery and other influence factors, when the state is normal, the data is uploaded to the big data platform in a low-frequency mode, and when the state is abnormal, the data is uploaded to the big data platform in a high-frequency mode, so that the requirements of real-time performance and integrity are met, and meanwhile, the safety of a user is ensured.

2. The characteristic data is uploaded to the big data platform, meanwhile, the uploading period is sent to the big data platform, the big data platform can conveniently and visually know the state of the characteristic data, a coping strategy can be conveniently and rapidly made, and when an abnormal condition occurs to a user, the safety of the user is further guaranteed.

3. The wearable device evaluates and filters the sign data and expands the three aspects of data threshold range evaluation, steady-state data change rate evaluation and static data change rate evaluation, so that the accuracy and reliability of the filtering result are ensured.

Drawings

In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.

FIG. 1 is a schematic flow diagram of an embodiment of the method of the present invention;

FIG. 2 is a schematic flow chart of an implementation of an embodiment of the method of the present invention;

fig. 3 is a schematic flow chart of the evaluation of the vital sign data according to the embodiment of the method of the present invention;

fig. 4 is a schematic structural diagram of an embodiment of the system of the present invention.

Detailed Description

In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.

As shown in fig. 1 and 2, an embodiment of the present invention provides a data transmission method for a wearable device, where the method includes the following steps:

s1, the wearable device acquires the sign data of the user in real time, evaluates and filters the sign data, and judges the state of the sign data;

s2, dynamically calculating the uploading period of the sign data based on the state and the influence parameters including the battery power of the wearable device;

and S3, uploading the sign data to a big data platform by the wearable device based on the uploading period.

In step S1, the wearable device collects sensor data at high frequency to obtain the physical sign data and the positioning data of the user. The user physical sign data comprises body temperature, heart rate, blood pressure and the like.

As shown in fig. 3, the vital sign data is subjected to a primary filtering, and the evaluation filtering of the vital sign data includes a data threshold range evaluation, a steady-state data change rate evaluation, and a static data change rate evaluation.

The evaluation of the data threshold range is carried out according to the medically normal numerical range of each physical sign parameter, basic threshold judgment is carried out, for example, the normal threshold range of the body temperature is 36-37 ℃, the normal threshold range of the heart rate is 60-100 times/min, the normal threshold range of the diastolic pressure is 60-90 mmHg, the normal threshold range of the systolic pressure is 90-140 mmHg, the normal threshold range of the heart rate is 95-100%, and the like, if the range is out, the state of the physical sign data is considered to be abnormal, and the physical sign data are uploaded in real time by correspondingly adopting a high-frequency strategy.

The steady-state data change rate evaluation specifically comprises the following steps: and performing steady state deviation calculation on the currently acquired sign data and the last acquired value, and considering that the state of the sign data is abnormal when the calculation result exceeds a preset deviation threshold value.

The static data change rate evaluation specifically comprises the following steps: continuously collecting n times of sign data, calculating the accumulated deviation of the n times of collected values, and considering that the state of the sign data is abnormal when the calculated result exceeds the preset accumulated deviation.

And if the initial data filtering is not abnormal, the wearable device stores the physical sign data and uploads the physical sign data according to the dynamic period calculated in the step S2.

In step S2, the influence parameter further includes a period of the job performed by the current wearable device user.

The specific process of dynamically calculating the uploading cycle of the physical sign data comprises the following steps:

s21, acquiring the residual electric quantity of the wearable device battery in real time, and calculating the electric quantity consumed by single uploading data under the current working condition of the wearable device based on the battery electric quantity at the beginning of the operation, the current battery electric quantity and the conventional working power consumption; because data upload adopts wireless upload, belong to the remote communication scheme, upload data power consumption in addition to the communication module characteristics of self, upload data volume relevant, still relevant with the signal coverage intensity of wearable terminal equipment user operation region, the effective power consumption under the current operation operating mode of representation wireless communication module that can be comparatively accurate through real-time power consumption calculation.

S22, recording the working time of the user, and calculating the residual working time according to the preset working period;

and S23, calculating the effective times of data uploading in the remaining operation time based on the current remaining electric quantity, the conventional work power consumption and the electric quantity consumed by single data uploading, and obtaining the dynamic period of data uploading.

If the current state of the physical sign data is normal, the uploading cycle of the physical sign data is not less than the dynamic cycle, namely, a periodic low-frequency data uploading mode is adopted; if the current state of the sign data is abnormal, according to the serious condition of the abnormal state, the dynamic period is several times of the uploading period of the sign data, namely, a periodic high-frequency data uploading mode is adopted.

The wearable device uploads the time interval to the big data platform while uploading the sign data.

The wearable device compresses and uploads various sign data according to an uploading period, the big data platform performs final data analysis and online period judgment on the various sign data, and returns a data uploading response.

As shown in fig. 4, the data transmission system of a wearable device provided in the embodiment of the present invention includes a wearable device and a big data platform; the wearable device comprises an information acquisition unit, a data processing unit and a communication unit;

the information acquisition unit acquires physical sign data of a user in real time; the data processing unit evaluates and filters the sign data and judges the state of the sign data; dynamically calculating the uploading period of the sign data based on the state and the influence parameters including the battery power of the wearable equipment; and the communication unit uploads the physical sign data to a big data platform based on the uploading period.

The information acquisition unit comprises a plurality of sign data acquisition sensors and a positioning module, and is used for respectively acquiring the body temperature, the heart rate, the blood pressure value and the position information of a user; the communication unit adopts one of 2G, 3G, 4G, 5G, NB-IOT or Beidou data message transmission networks.

The embodiment of the invention also provides a computer storage medium, wherein a computer instruction is stored in the computer storage medium, and when the computer instruction runs on the system, the steps of the method of the system are enabled to be executed.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.