阅读说明：本技术 应用于穿戴设备的实时监护方法、系统及存储介质 (Real-time monitoring method and system applied to wearing equipment and storage medium ) 是由 董驰 张擒豹 于 2021-06-24 设计创作，主要内容包括：本发明提供一种应用于穿戴设备的实时监护方法、系统及存储介质,其中实时监护方法包括：获取穿戴设备的智能传感模块采集的用户的步态数据；对步态数据进行预处理；解析预处理后的步态数据,确定用户的当前状态；当当前状态异常时,输出报警信息至预设的紧急联系人。本发明的应用于穿戴设备的实时监护方法,基于穿戴设备,利用人工智能对步态大数据进行分析,实现对老人的生活的监护,提供意外报警,帮助年轻人给予老人监护。(The invention provides a real-time monitoring method, a real-time monitoring system and a storage medium applied to wearing equipment, wherein the real-time monitoring method comprises the following steps: acquiring gait data of a user, which is acquired by an intelligent sensing module of wearable equipment; preprocessing gait data; analyzing the preprocessed gait data and determining the current state of the user; and when the current state is abnormal, outputting alarm information to a preset emergency contact. The real-time monitoring method applied to the wearing equipment is based on the wearing equipment, utilizes artificial intelligence to analyze gait big data, realizes monitoring of the life of the old, provides unexpected alarm, and helps young people monitor the old.)

1. A real-time monitoring method applied to a wearable device is characterized by comprising the following steps:

acquiring gait data of a user, which is acquired by an intelligent sensing module of wearable equipment;

preprocessing the gait data;

analyzing the preprocessed gait data and determining the current state of the user;

and when the current state is abnormal, outputting alarm information to a preset emergency contact.

2. The real-time monitoring method applied to the wearable device according to claim 1, further comprising:

the method comprises the steps that outdoor, first positioning information of the wearable device is obtained through a GPS positioning module of the wearable device;

and the second positioning information of the wearable device is acquired indoors through the WIFI positioning module or the GPRS positioning module of the wearable device.

3. The real-time monitoring method applied to a wearable device according to claim 1, wherein the analyzing the preprocessed gait data to determine the current state of the user comprises:

building a three-dimensional coordinate axis by taking the foot length direction as an X axis, the foot width direction as a Y axis and the body length direction as a Z axis;

analyzing the gait data, and determining the height drop of the user on the Z axis, the first acceleration value on the X axis and the second acceleration value on the Y axis;

when the height drop is larger than a preset height difference value, the first acceleration value is larger than a preset first alarm threshold value, and the second acceleration value is larger than a preset second alarm threshold value, starting abnormal monitoring;

monitoring the first acceleration value and the second acceleration value within a first preset time after starting, and confirming that the user falls when the first acceleration value and the second acceleration value accord with a preset falling rule.

4. The real-time monitoring method applied to a wearable device according to claim 1, wherein the gait data after preprocessing is analyzed to determine the current state of the user; the method comprises the following steps:

inputting the gait data into a preset neural network model, and determining the current state of the user.

5. The real-time monitoring method applied to the wearable device according to claim 1, further comprising:

monitoring the electric quantity of the wearable device, and outputting prompt information to a preset contact mobile phone when the electric quantity is reduced to a first preset electric quantity value;

when a user is outdoors, acquiring first positioning information of the wearable device;

acquiring a charging position of the wearable device;

monitoring the first positioning information, and determining whether the first positioning information has a trend of moving to the charging position;

when the first positioning information exists, determining a moving line of a user based on a track formed by the monitored first positioning information and the charging position;

determining a first time required for the movement route;

comparing the first time with second time available for the residual electric quantity in a normal working mode, and segmenting the moving route when the first time is greater than the second time available for the residual electric quantity, so as to obtain a safety factor of each segmented route and third time required by each segmented route;

acquiring the power utilization speed of each working mode of the wearable equipment;

and determining the working mode of the wearable equipment on each sectional route based on the safety factor, the third time and the power utilization speed.

6. The method for monitoring the wearable device according to claim 5, wherein when determining that the first positioning information does not tend to move to the charging location, determining and tracking the required power consumption of the wearable device in a normal operation mode corresponding to a shortest route along which the first positioning information moves to the charging location;

when the required power consumption is larger than the residual power of the wearable equipment, the working mode of the wearable equipment is set to be in the working mode with the lowest power consumption;

when the residual electric quantity of the wearable device is reduced to be lower than the electric quantity required by the working mode with the lowest electricity consumption corresponding to the shortest route, and the position corresponding to the first positioning information does not tend to move to the charging position, the wearable device is intermittently stopped;

determining the downtime of each time based on the residual capacity, wherein the determining formula of the downtime is as follows:

wherein, T_{Ai stop}Down time for the ith shutdown; t is₀Is a preset initial downtime; e₀The total electric quantity of the wearable equipment is; e_iThe residual capacity is the residual capacity when the i-th shutdown is started;

and determining the opening time of each time based on the residual capacity, wherein the determination formula of the opening time is as follows:

wherein, T_{i opener}The starting time of the ith start; t is₁Is a preset initial turn-on time; e₀The total electric quantity of the wearable equipment is; e'_iTo enter the remaining capacity at the i-th start.

7. The monitoring implementation method applied to the wearable device of claim 5, wherein the monitoring of the first positioning information is performed to determine whether the first positioning information has a trend of moving to the charging location; the method comprises the following steps:

sampling and calculating the first positioning information for multiple times within a preset time period, and determining the distances between the wearable devices and the charging positions;

presetting a first statistical parameter and a second statistical parameter, wherein the first statistical parameter is used for counting the times of distance reduction corresponding to two adjacent samplings in a preset time period; the second statistical parameter is used for counting the times of increasing the distance corresponding to two adjacent samples in a preset time period;

when the value of the first statistical parameter is larger than that of the second statistical parameter and the difference value is larger than a preset threshold value, determining that a trend of moving to the charging position exists; otherwise, there is no tendency to move to the charging position.

8. The practical monitoring method applied to the wearable device according to claim 5, wherein the determining the working mode of the wearable device on each route based on the safety factor, the third time and the power utilization speed comprises:

performing working mode pre-allocation on each subsection route based on the safety factor corresponding to each subsection route; the higher the safety factor is, the lower the electricity utilization speed corresponding to the configured working mode is;

based on the working modes of the pre-distributed sectional routes, the required electric quantity corresponding to the moving route is determined, and the calculation formula is as follows:

wherein Q is₁The required electric quantity corresponding to the moving route; t is t_iA third time corresponding to the ith segment route; v. of_iThe power utilization speed corresponding to the working mode pre-configured for the ith subsection route;

and when the required electric quantity corresponding to the moving route is larger than the residual electric quantity, adjusting the working mode of each pre-configured sectional route to reduce the electric speed corresponding to each sectional route until the required electric quantity corresponding to the moving route is smaller than or equal to the residual electric quantity.

9. A real-time monitoring system for use with a wearable device, comprising:

the data acquisition module is used for acquiring the gait data of the user acquired by the intelligent sensing module of the wearable device;

the preprocessing module is used for preprocessing the gait data;

the state determining module is used for analyzing the preprocessed gait data and determining the current state of the user;

and the alarm module is used for outputting alarm information to a preset emergency contact when the current state is abnormal.

10. A storage device, characterized in that the storage device stores a computer program executable to implement the method according to any one of claims 1-8.

Technical Field

The invention relates to the technical field of monitoring equipment, in particular to a real-time monitoring method and system applied to wearing equipment and a storage medium.

Background

At present, with the improvement of living standard, the rhythm of life is accelerated; at present, young people do not have time to well monitor the old at home due to busy work, accidents of the old due to the fact that the old is around the family can occur, and the old cannot be timely treated.

Disclosure of Invention

One of the purposes of the invention is to provide a real-time monitoring method applied to wearing equipment, which is based on the wearing equipment and utilizes artificial intelligence to analyze gait big data, so as to realize the monitoring of the life of the old, provide unexpected alarm and help young people monitor the old.

The embodiment of the invention provides a real-time monitoring method applied to wearing equipment, which comprises the following steps:

acquiring gait data of a user, which is acquired by an intelligent sensing module of wearable equipment;

preprocessing gait data;

analyzing the preprocessed gait data and determining the current state of the user;

and when the current state is abnormal, outputting alarm information to a preset emergency contact.

Preferably, the real-time monitoring method applied to the wearable device further includes:

the method comprises the steps that outdoor, first positioning information of the wearable device is obtained through a GPS positioning module of the wearable device;

and the second positioning information of the wearable device is acquired indoors through a WIFI positioning module or a GPRS positioning module of the wearable device.

Preferably, the analyzing the preprocessed gait data to determine the current state of the user includes:

building a three-dimensional coordinate axis by taking the foot length direction as an X axis, the foot width direction as a Y axis and the body length direction as a Z axis;

analyzing the gait data, and determining the height drop of the user on the Z axis, a first acceleration value on the X axis and a second acceleration value on the Y axis;

when the height drop is larger than a preset height difference value, the first acceleration value is larger than a preset first alarm threshold value, and the second acceleration value is larger than a preset second alarm threshold value, starting abnormal monitoring;

monitoring a first acceleration value and a second acceleration value within a first preset time after starting, and confirming that the user falls when the first acceleration value and the second acceleration value accord with a preset falling rule.

Preferably, the preprocessed gait data is analyzed, and the current state of the user is determined; the method comprises the following steps:

and inputting the gait data into a preset neural network model, and determining the current state of the user.

Preferably, the real-time monitoring method applied to the wearable device further includes:

monitoring the electric quantity of the wearable device, and outputting prompt information to a preset contact mobile phone when the electric quantity is reduced to a first preset electric quantity value;

when a user is outdoors, acquiring first positioning information of the wearable device;

acquiring a charging position for charging the wearable device;

monitoring the first positioning information, and determining whether the first positioning information has a trend of moving to a charging position;

when the first positioning information exists, determining a moving line of the user based on a track and a charging position formed by the monitored first positioning information;

determining a first time required for the movement route;

comparing the first time with second time when the residual electric quantity is available in a normal working mode, and segmenting the moving route when the first time is greater than the second time when the residual electric quantity is available, so as to obtain the safety factor of each segmented route and third time required by each segmented route;

acquiring the power utilization speed of each working mode of the wearable equipment;

and determining the working mode of the wearable device on each sectional route based on the safety factor, the third time and the power utilization speed.

Preferably, when it is determined that the first positioning information does not have a tendency of moving to the charging position, determining and tracking the required power consumption of the wearable device corresponding to the shortest route of the first positioning information moving to the charging position in the normal working mode;

when the required power consumption is larger than the residual power of the wearable equipment, the working mode of the wearable equipment is set to be in the working mode with the lowest power consumption;

when the residual electric quantity of the wearable equipment is reduced to be lower than the electric quantity required by the working mode with the lowest power consumption corresponding to the shortest route and the position corresponding to the first positioning information does not move towards the charging position, the wearable equipment is intermittently stopped;

determining the downtime of each time based on the residual capacity, wherein the downtime is determined according to the following formula:

wherein, T_{Ai stop}Down time for the ith shutdown; t is₀Is a preset initial downtime; e₀The total electric quantity of the wearable equipment is; e_iThe residual capacity is the residual capacity when the i-th shutdown is started;

and determining the opening time of each time based on the residual capacity, wherein the determination formula of the opening time is as follows:

wherein, T_{i opener}The starting time of the ith start; t is₁Is a preset initial turn-on time; e₀The total electric quantity of the wearable equipment is; e'_iTo enter the remaining capacity at the i-th start.

Preferably, the first positioning information is monitored, and whether the first positioning information has a trend of moving to the charging position is determined; the method comprises the following steps:

sampling and calculating the first positioning information for multiple times within a preset time period, and determining the distances between the multiple pieces of wearable equipment and the charging positions;

presetting a first statistical parameter and a second statistical parameter, wherein the first statistical parameter is used for counting the times of distance reduction corresponding to two adjacent samplings in a preset time period; the second statistical parameter is used for counting the times of distance increase corresponding to two adjacent samplings in a preset time period;

when the value of the first statistical parameter is larger than that of the second statistical parameter and the difference value is larger than a preset threshold value, determining that a trend of moving to a charging position exists; otherwise, there is no tendency to move to the charging position.

Preferably, based on factor of safety, third time and power consumption speed, confirm wearing the mode of equipment on each section route, include:

performing working mode pre-allocation on each subsection route based on the safety factor corresponding to each subsection route; the higher the safety factor is, the lower the electricity utilization speed corresponding to the configured working mode is;

based on the working modes of the pre-distributed sectional routes, the required electric quantity corresponding to the moving route is determined, and the calculation formula is as follows:

wherein Q is₁The required electric quantity corresponding to the moving route; t is t_iA third time corresponding to the ith segment route; v. of_iThe power utilization speed corresponding to the working mode pre-configured for the ith subsection route;

and when the required electric quantity corresponding to the moving route is larger than the residual electric quantity, adjusting the working mode of each pre-configured subsection route to reduce the electric speed corresponding to each subsection route until the required electric quantity corresponding to the moving route is smaller than or equal to the residual electric quantity.

The invention also provides a real-time monitoring system applied to the wearing equipment, which comprises:

the data acquisition module is used for acquiring the gait data of the user acquired by the intelligent sensing module of the wearable device;

the preprocessing module is used for preprocessing the gait data;

the state determining module is used for analyzing the preprocessed gait data and determining the current state of the user;

and the alarm module is used for outputting alarm information to a preset emergency contact when the current state is abnormal.

The invention also provides a storage device, which stores a computer program, wherein the computer program can be executed to realize the real-time monitoring method applied to the wearing equipment.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

fig. 1 is a schematic diagram of a real-time monitoring method applied to a wearable device according to an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

The embodiment of the invention provides a real-time monitoring method applied to wearing equipment, as shown in fig. 1, comprising the following steps:

step S1: acquiring gait data of a user, which is acquired by an intelligent sensing module of wearable equipment;

step S2: preprocessing gait data;

step S3: analyzing the preprocessed gait data and determining the current state of the user;

step S4: and when the current state is abnormal, outputting alarm information to a preset emergency contact.

The working principle and the beneficial effects of the technical scheme are as follows:

the real-time monitoring method is applied to wearing equipment worn by a user (the old); in daily life, gait data of a user are collected through an intelligent sensing module of wearable equipment; preprocessing gait data; analyzing the preprocessed gait data and determining the current state of the user; and when the current state is abnormal, outputting alarm information to a preset emergency contact. The abnormal state may be set by a family of the user, and may be that the moving speed is too fast and exceeds a preset speed threshold. Or stumbling of the foot, the possibility of developing a disease. In addition, the gait data abrupt change can also be set to be in an abnormal state, including the amplitude of each step, the amplitude distribution equilibrium and the like. Wherein, intelligent sensing module includes: the device comprises a pressure detection module, an acceleration sensing module, a gravity detection module, a positioning module and the like.

Wearing equipment can be intelligence shoes of converging, and intelligence shoes of converging adopt high and new technology such as thing networking, cognitive calculation, the intelligent wearing equipment that collects latest shoemaking technology as an organic whole. Four intelligent modules of built-in gait collection, geographical positioning, information transmission and wireless charging. The gait data are analyzed by artificial intelligence, the whole course management and clinical service of cognitive disorder (Alzheimer, Parkinson, sequelae of cardiovascular and cerebrovascular diseases and the like) are realized, and the functions of wandering away positioning and falling down alarming are realized.

In one embodiment, the real-time monitoring method applied to the wearable device further comprises:

the method comprises the steps that outdoor, first positioning information of the wearable device is obtained through a GPS positioning module of the wearable device;

and the second positioning information of the wearable device is acquired indoors through a WIFI positioning module or a GPRS positioning module of the wearable device.

The working principle and the beneficial effects of the technical scheme are as follows:

when the old people do outdoor exercises, the positions of the old people are positioned based on a GPS positioning module in the wearable device, and the loss prevention is realized; in addition, an electronic fence can be arranged to ensure the activity area of the old, and the outdoor monitoring is realized. When indoor, through WIFI orientation module or GPRS orientation module, realize the accurate location of little space to confirm in indoor activity area, realize indoor guardianship.

In one embodiment, parsing the preprocessed gait data to determine the current state of the user comprises:

building a three-dimensional coordinate axis by taking the foot length direction as an X axis, the foot width direction as a Y axis and the body length direction as a Z axis;

analyzing the gait data, and determining the height drop of the user on the Z axis, a first acceleration value on the X axis and a second acceleration value on the Y axis;

when the height drop is larger than a preset height difference value, the first acceleration value is larger than a preset first alarm threshold value, and the second acceleration value is larger than a preset second alarm threshold value, starting abnormal monitoring;

monitoring a first acceleration value and a second acceleration value within a first preset time after starting, and confirming that the user falls when the first acceleration value and the second acceleration value accord with a preset falling rule.

The working principle and the beneficial effects of the technical scheme are as follows:

monitoring the abnormal state of falling of the user by monitoring the acceleration based on the foot length and the foot width direction; only at the moment of falling, the first acceleration value is larger than a preset first alarm threshold value, and the second acceleration value is larger than a preset second alarm threshold value; therefore, the following first acceleration value and the second acceleration value are monitored, namely whether the falling rule is met or not is judged; for example, if the fall rule is that the acceleration is zero within 5 seconds after the sudden change of the acceleration, the user can be determined to fall if the user meets the fall rule.

In one embodiment, the preprocessed gait data is analyzed to determine the current state of the user; the method comprises the following steps:

and inputting the gait data into a preset neural network model, and determining the current state of the user.

The working principle and the beneficial effects of the technical scheme are as follows:

gait cycles and kinematic data of a patient at home, out-of-home, in-hospital and out-of-hospital are collected dynamically, continuously, silently and automatically through the intelligent shoe collection, and a neural network model is constructed based on the collected data, so that the gait data are analyzed, and the current state of the user is determined.

In one embodiment, the real-time monitoring method applied to the wearable device further comprises:

monitoring the electric quantity of the wearable device, and outputting prompt information to a preset contact mobile phone when the electric quantity is reduced to a first preset electric quantity value;

when a user is outdoors, acquiring first positioning information of the wearable device;

acquiring a charging position for charging the wearable device;

monitoring the first positioning information, and determining whether the first positioning information has a trend of moving to a charging position;

when the first positioning information exists, determining a moving line of the user based on a track and a charging position formed by the monitored first positioning information;

determining a first time required for the movement route;

comparing the first time with second time when the residual electric quantity is available in a normal working mode, and segmenting the moving route when the first time is greater than the second time when the residual electric quantity is available, so as to obtain the safety factor of each segmented route and third time required by each segmented route;

acquiring the power utilization speed of each working mode of the wearable equipment;

and determining the working mode of the wearable device on each sectional route based on the safety factor, the third time and the power utilization speed.

The working principle and the beneficial effects of the technical scheme are as follows:

when the user moves outdoors and the electric quantity is insufficient, the working mode on each segmented route on the return route is reasonably planned to ensure that the user is effectively monitored on the return route, and the safety is improved. The safety factor of each sectional route is preset according to the road driving condition, the current time and the road parameters; the more complex the driving condition at the current time is, the lower the safety factor is; the safety coefficient of the large road is higher; if a river is beside the road, the safety coefficient is low; the safety coefficient of the rural roads is lower; the safety factor is mainly determined by the user through the road section, and the influence degree and the quantity of factors influencing the safety of the user are determined. The lower the safety factor is, the higher the sampling frequency of the working mode is, namely, the monitoring strength is increased.

In one embodiment, when it is determined that the first positioning information does not have a trend of moving to the charging position, determining and tracking the required power consumption of the wearable device corresponding to the shortest route of the first positioning information moving to the charging position in the normal working mode;

when the required power consumption is larger than the residual power of the wearable equipment, the working mode of the wearable equipment is set to be in the working mode with the lowest power consumption;

when the residual electric quantity of the wearable equipment is reduced to be lower than the electric quantity required by the working mode with the lowest power consumption corresponding to the shortest route and the position corresponding to the first positioning information does not move towards the charging position, the wearable equipment is intermittently stopped;

determining the downtime of each time based on the residual capacity, wherein the downtime is determined according to the following formula:

wherein, T_{Ai stop}Down time for the ith shutdown; t is₀Is a preset initial downtime; e₀The total electric quantity of the wearable equipment is; e_iThe residual capacity is the residual capacity when the i-th shutdown is started;

and determining the opening time of each time based on the residual capacity, wherein the determination formula of the opening time is as follows:

wherein, T_{i opener}The starting time of the ith start; t is₁Is a preset initial turn-on time; e₀The total electric quantity of the wearable equipment is; e'_iTo enter the remaining capacity at the i-th start.

The working principle and the beneficial effects of the technical scheme are as follows:

when the electric quantity is low but the user does not have the intention to go back, the monitoring time is prolonged by intermittent shutdown and startup, and the loss of the user caused by the fact that the user is always used due to low electric quantity and finally the user is out of power is prevented; the time for the family of the user to find the user is prolonged, and loss of connection caused by the fact that the electric quantity is consumed is avoided.

In one embodiment, the first positioning information is monitored, and whether the first positioning information has a trend of moving to the charging position or not is determined; the method comprises the following steps:

sampling and calculating the first positioning information for multiple times within a preset time period, and determining the distances between the multiple pieces of wearable equipment and the charging positions;

presetting a first statistical parameter and a second statistical parameter, wherein the first statistical parameter is used for counting the times of distance reduction corresponding to two adjacent samplings in a preset time period; the second statistical parameter is used for counting the times of distance increase corresponding to two adjacent samplings in a preset time period;

when the value of the first statistical parameter is larger than that of the second statistical parameter and the difference value is larger than a preset threshold value, determining that a trend of moving to a charging position exists; otherwise, there is no tendency to move to the charging position.

The working principle and the beneficial effects of the technical scheme are as follows:

the analysis of the movement trend is realized through multiple sampling in a preset time period and on the basis of counting the difference between adjacent sampling data, so that the accuracy of the trend analysis is ensured. During trend analysis, a threshold value is added in the judgment of the difference value of the first statistical parameter and the second statistical parameter, so that errors of trend judgment caused by accidental differences caused by sampling are avoided, and the accuracy of the trend judgment is improved.

In one embodiment, determining the working mode of the wearable device on each route based on the safety factor, the third time and the power utilization speed comprises:

performing working mode pre-allocation on each subsection route based on the safety factor corresponding to each subsection route; the higher the safety factor is, the lower the electricity utilization speed corresponding to the configured working mode is;

based on the working modes of the pre-distributed sectional routes, the required electric quantity corresponding to the moving route is determined, and the calculation formula is as follows:

wherein Q is₁The required electric quantity corresponding to the moving route; t is t_iA third time corresponding to the ith segment route; v. of_iThe power utilization speed corresponding to the working mode pre-configured for the ith subsection route;

and when the required electric quantity corresponding to the moving route is larger than the residual electric quantity, adjusting the working mode of each pre-configured subsection route to reduce the electric speed corresponding to each subsection route until the required electric quantity corresponding to the moving route is smaller than or equal to the residual electric quantity.

The working principle and the beneficial effects of the technical scheme are as follows:

based on the pre-distribution method, reasonable distribution of electric quantity is realized, and the safety factor is considered during pre-distribution, so that reasonable monitoring of each segmented line returned by a user is ensured, and the safety is improved.

The invention also provides a real-time monitoring system applied to the wearing equipment, which comprises:

the data acquisition module is used for acquiring the gait data of the user acquired by the intelligent sensing module of the wearable device;

the preprocessing module is used for preprocessing the gait data;

the state determining module is used for analyzing the preprocessed gait data and determining the current state of the user;

and the alarm module is used for outputting alarm information to a preset emergency contact when the current state is abnormal.

The working principle and the beneficial effects of the technical scheme are as follows:

the real-time monitoring system is applied to wearing equipment worn by a user (the old); in daily life, gait data of a user are collected through an intelligent sensing module of wearable equipment; preprocessing gait data; analyzing the preprocessed gait data and determining the current state of the user; and when the current state is abnormal, outputting alarm information to a preset emergency contact. The abnormal state may be set by a family of the user, and may be that the moving speed is too fast and exceeds a preset speed threshold. Or stumbling of the foot, the possibility of developing a disease. In addition, the gait data abrupt change can also be set to be in an abnormal state, including the amplitude of each step, the amplitude distribution equilibrium and the like.

Wherein wearing equipment can be intelligence shoes of converging, and intelligence shoes of converging adopt high and new technology such as thing networking, cognitive calculation, the intelligent wearing equipment that collects latest shoemaking technology as an organic whole. Four intelligent modules of built-in gait collection, geographical positioning, information transmission and wireless charging. The gait data are analyzed by artificial intelligence, the whole course management and clinical service of cognitive disorder (Alzheimer, Parkinson, sequelae of cardiovascular and cerebrovascular diseases and the like) are realized, and the functions of wandering away positioning and falling down alarming are realized.

In one embodiment, the real-time monitoring system applied to the wearable device further comprises:

the outdoor monitoring module is used for acquiring first positioning information of the wearable equipment outdoors through a GPS positioning module of the wearable equipment;

and the indoor monitoring module is used for acquiring second positioning information of the wearable device indoors through the WIFI positioning module or the GPRS positioning module of the wearable device.

The working principle and the beneficial effects of the technical scheme are as follows:

when the old people do outdoor exercises, the positions of the old people are positioned based on a GPS positioning module in the wearable device, and the loss prevention is realized; in addition, an electronic fence can be arranged to ensure the activity area of the old, and the outdoor monitoring is realized. When indoor, through WIFI orientation module or GPRS orientation module, realize the accurate location of little space to confirm in indoor activity area, realize indoor guardianship.

In one embodiment, the state determination module performs parsing of the preprocessed gait data to determine the current state of the user, including:

building a three-dimensional coordinate axis by taking the foot length direction as an X axis, the foot width direction as a Y axis and the body length direction as a Z axis;

analyzing the gait data, and determining the height drop of the user on the Z axis, a first acceleration value on the X axis and a second acceleration value on the Y axis;

when the height drop is larger than a preset height difference value, the first acceleration value is larger than a preset first alarm threshold value, and the second acceleration value is larger than a preset second alarm threshold value, starting abnormal monitoring;

monitoring a first acceleration value and a second acceleration value within a first preset time after starting, and confirming that the user falls when the first acceleration value and the second acceleration value accord with a preset falling rule.

The working principle and the beneficial effects of the technical scheme are as follows:

monitoring the abnormal state of falling of the user by monitoring the acceleration based on the foot length and the foot width direction; only at the moment of falling, the first acceleration value is larger than a preset first alarm threshold value, and the second acceleration value is larger than a preset second alarm threshold value; therefore, the following first acceleration value and the second acceleration value are monitored, namely whether the falling rule is met or not is judged; for example, if the fall rule is that the acceleration is zero within 5 seconds after the sudden change of the acceleration, the user can be determined to fall if the user meets the fall rule.

In one embodiment, the state determination module analyzes the preprocessed gait data to determine the current state of the user; the method comprises the following steps:

and inputting the gait data into a preset neural network model, and determining the current state of the user.

The working principle and the beneficial effects of the technical scheme are as follows:

gait cycles and kinematic data of a patient at home, out-of-home, in-hospital and out-of-hospital are collected dynamically, continuously, silently and automatically through the intelligent shoe collection, and a neural network model is constructed based on the collected data, so that the gait data are analyzed, and the current state of the user is determined.

In one embodiment, the real-time monitoring system applied to the wearable device further comprises: an electric quantity monitoring module;

the electric quantity monitoring module executes the following operations:

monitoring the electric quantity of the wearable device, and outputting prompt information to a preset contact mobile phone when the electric quantity is reduced to a first preset electric quantity value;

when a user is outdoors, acquiring first positioning information of the wearable device;

acquiring a charging position for charging the wearable device;

monitoring the first positioning information, and determining whether the first positioning information has a trend of moving to a charging position;

when the first positioning information exists, determining a moving line of the user based on a track and a charging position formed by the monitored first positioning information;

determining a first time required for the movement route;

comparing the first time with second time when the residual electric quantity is available in a normal working mode, and segmenting the moving route when the first time is greater than the second time when the residual electric quantity is available, so as to obtain the safety factor of each segmented route and third time required by each segmented route;

acquiring the power utilization speed of each working mode of the wearable equipment;

and determining the working mode of the wearable device on each sectional route based on the safety factor, the third time and the power utilization speed.

The working principle and the beneficial effects of the technical scheme are as follows:

when the user moves outdoors and the electric quantity is insufficient, the working mode on each segmented route on the return route is reasonably planned to ensure that the user is effectively monitored on the return route, and the safety is improved. The safety factor of each sectional route is preset according to the road driving condition, the current time and the road parameters; the more complex the driving condition at the current time is, the lower the safety factor is; the safety coefficient of the large road is higher; if a river is beside the road, the safety coefficient is low; the safety coefficient of the rural roads is lower; the safety factor is mainly determined by the user through the road section, and the influence degree and the quantity of factors influencing the safety of the user are determined. The lower the safety factor is, the higher the sampling frequency of the working mode is, namely, the monitoring strength is increased.

In one embodiment, when it is determined that the first positioning information does not have a trend of moving to the charging position, determining and tracking the required power consumption of the wearable device corresponding to the shortest route of the first positioning information moving to the charging position in the normal working mode;

when the required power consumption is larger than the residual power of the wearable equipment, the working mode of the wearable equipment is set to be in the working mode with the lowest power consumption;

when the residual electric quantity of the wearable equipment is reduced to be lower than the electric quantity required by the working mode with the lowest power consumption corresponding to the shortest route and the position corresponding to the first positioning information does not move towards the charging position, the wearable equipment is intermittently stopped;

determining the downtime of each time based on the residual capacity, wherein the downtime is determined according to the following formula:

wherein, T_{Ai stop}Down time for the ith shutdown; t is₀Is a preset initial downtime; e₀The total electric quantity of the wearable equipment is; e_iThe residual capacity is the residual capacity when the i-th shutdown is started;

and determining the opening time of each time based on the residual capacity, wherein the determination formula of the opening time is as follows:

wherein, T_{i opener}The starting time of the ith start; t is₁Is a preset initial turn-on time; e₀The total electric quantity of the wearable equipment is; e'_iTo enter the remaining capacity at the i-th start.

The working principle and the beneficial effects of the technical scheme are as follows:

when the electric quantity is low but the user does not have the intention to go back, the monitoring time is prolonged by intermittent shutdown and startup, and the loss of the user caused by the fact that the user is always used due to low electric quantity and finally the user is out of power is prevented; the time for the family of the user to find the user is prolonged, and loss of connection caused by the fact that the electric quantity is consumed is avoided.

In one embodiment, the first positioning information is monitored, and whether the first positioning information has a trend of moving to the charging position or not is determined; the method comprises the following steps:

sampling and calculating the first positioning information for multiple times within a preset time period, and determining the distances between the multiple pieces of wearable equipment and the charging positions;

presetting a first statistical parameter and a second statistical parameter, wherein the first statistical parameter is used for counting the times of distance reduction corresponding to two adjacent samplings in a preset time period; the second statistical parameter is used for counting the times of distance increase corresponding to two adjacent samplings in a preset time period;

when the value of the first statistical parameter is larger than that of the second statistical parameter and the difference value is larger than a preset threshold value, determining that a trend of moving to a charging position exists; otherwise, there is no tendency to move to the charging position.

The working principle and the beneficial effects of the technical scheme are as follows:

the analysis of the movement trend is realized through multiple sampling in a preset time period and on the basis of counting the difference between adjacent sampling data, so that the accuracy of the trend analysis is ensured. During trend analysis, a threshold value is added in the judgment of the difference value of the first statistical parameter and the second statistical parameter, so that errors of trend judgment caused by accidental differences caused by sampling are avoided, and the accuracy of the trend judgment is improved.

In one embodiment, determining the working mode of the wearable device on each route based on the safety factor, the third time and the power utilization speed comprises:

performing working mode pre-allocation on each subsection route based on the safety factor corresponding to each subsection route; the higher the safety factor is, the lower the electricity utilization speed corresponding to the configured working mode is;

based on the working modes of the pre-distributed sectional routes, the required electric quantity corresponding to the moving route is determined, and the calculation formula is as follows:

wherein Q is₁The required electric quantity corresponding to the moving route; t is t_iA third time corresponding to the ith segment route; v. of_iThe power utilization speed corresponding to the working mode pre-configured for the ith subsection route;

and when the required electric quantity corresponding to the moving route is larger than the residual electric quantity, adjusting the working mode of each pre-configured subsection route to reduce the electric speed corresponding to each subsection route until the required electric quantity corresponding to the moving route is smaller than or equal to the residual electric quantity.

The working principle and the beneficial effects of the technical scheme are as follows:

based on the pre-distribution method, reasonable distribution of electric quantity is realized, and the safety factor is considered during pre-distribution, so that reasonable monitoring of each segmented line returned by a user is ensured, and the safety is improved.

The invention also provides a storage device, which stores a computer program, wherein the computer program can be executed to realize the real-time monitoring method applied to the wearing equipment.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.