CN117116002A - Real-time positioning and health detection management system based on wearable equipment - Google Patents
Real-time positioning and health detection management system based on wearable equipment Download PDFInfo
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- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
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Abstract
The utility model relates to the technical field of data processing, in particular to a real-time positioning and health detection management system based on wearable equipment, which comprises first wearable equipment, second wearable equipment, a cloud storage module, an upper control module and a health management module, wherein the first wearable equipment and the second wearable equipment are used for detecting physiological data, motion data and geographic position data of a detected target in real time and transmitting the detected data to the cloud storage module, the upper control module is used for determining the geographic range boundary, the physiological data warning range and the motion data warning range of the detected target, and the health management module is used for judging whether to send an alarm according to whether a warning trigger condition is triggered according to a real-time detection result, so that the detection accuracy of the system is improved, the detection time is shortened, and the life health of the detected target is ensured.
Description
Technical Field
The utility model relates to the technical field of data processing, in particular to a real-time positioning and health detection management system based on wearable equipment.
Background
The existing remote intelligent shoes are various in variety, and can be used for carrying out remote positioning on weak groups such as old people, mental retardation patients and children so as to avoid the weak groups from losing, and meanwhile, the remote intelligent shoes provide a certain convenience for monitoring the heart rate, pulse, blood pressure and other data of the human body in real time, but the detection standard is mostly set for big data, and alarm errors are easy to occur.
The utility model discloses a pair of shoes with remote real-time positioning and detecting body heart rate and pulse, which comprises soles, insoles, vamps, intelligent sensing and control devices and a mobile phone APP, wherein the soles, the insoles and the vamps form a shoe body, the vamps are connected to the soles, and air bag belts attached to the inner walls of the vamps are arranged on the soles; therefore, the shoes with remote real-time positioning and body heart rate and pulse detection in the prior art have the following problems: if the shoe detection information cannot be corrected when a large error occurs, false alarm is easy to occur, and the life safety of a user cannot be guaranteed timely.
Disclosure of Invention
Therefore, the utility model provides a real-time positioning and health detection management system based on wearable equipment, which is used for solving the problems that the power consumption of real-time positioning detection is high, and if the shoe detection information has a large error, the correction cannot be carried out, and false alarm is easy to occur in the prior art.
To achieve the above object, the present utility model provides a real-time positioning and health detection management system based on a wearable device, including:
the first wearing equipment is arranged on the tested target in a first wearing mode and used for collecting physiological data, motion data and geographic position data of the tested target;
the second wearable device is connected with the corresponding single first wearable device under the first matching condition and is used for acquiring physiological data, motion data and geographic position data of the detected target, acquiring all data by the first wearable device and correcting the position data of the detected target;
the cloud storage module is connected with the first wearable device and the second wearable device respectively and used for acquiring and storing acquired data of the first wearable device and/or the second wearable device;
the upper control module is connected with the cloud storage module and used for setting a geographic range boundary, a physiological data warning range and a motion data warning range of a measured target;
the health management module is connected with the upper control module and is used for setting warning trigger conditions according to physiological data, motion data and geographical position data of a detected target acquired by the first wearable device and/or the second wearable device, setting warning trigger conditions according to the set warning ranges and sending corresponding warnings to the detected target when triggering;
the first wearing mode is to be worn on the foot of the detected target, the first matching condition is that the second wearing equipment is away from the first wearing equipment by a preset distance, and physiological data of at least two detected targets collected by the second wearing equipment are identical to corresponding data collected by the first wearing equipment.
Further, the first wearable device is integrally provided in a shoe shape, and includes:
the intelligent step counting unit comprises a first pedometer and a second pedometer which are respectively arranged on two soles of the first wearing equipment and used for calculating the number of steps of a measured target, and the intelligent step counting unit judges whether corresponding movement is walking movement or not according to the height difference of the vertical change of the first pedometer and the second pedometer;
the positioning unit is arranged at the junction of the vamp and the sole of the first wearing equipment and used for determining the gait of the detected target according to the movement direction and the movement acceleration of the detected target and determining the movement position data of the detected target through the gait data and the step counting data;
the air pressure detection unit is arranged at the top of the vamp of the first wearable device and is used for detecting the ambient air pressure of the current place of the detected target;
the falling alarm unit is respectively arranged on the outer side surfaces of the two shoes of the first wearing equipment, is connected with the positioning unit, and is used for detecting physiological data of a detected target, judging whether the detected target falls according to detection results of gyroscopes respectively arranged on the two shoes, and sending out an alarm to seek help when judging that the detected target falls;
the data transmission unit is used for transmitting all data acquired by the positioning unit, the intelligent step counting unit and the air pressure detection unit to the second wearable device or the upper control module;
the connection matching unit is used for establishing an information transmission channel with the second wearable device and the cloud storage module by sending corresponding matching signals;
the acquisition control unit is connected with the intelligent step counting unit, the positioning unit and the air pressure detection unit and used for controlling whether each detection unit works according to the current electric quantity of the first wearable device and the current gait of the detected target;
the power supply unit is connected with the intelligent step counting unit, the positioning unit, the air pressure detection unit, the fall alarm unit, the data transmission unit, the connection matching unit and the acquisition control unit and is used for providing electric energy for each unit.
Further, the acquisition control unit of the first wearable device is provided with a matching acquisition rule, including:
under the first electric quantity condition, controlling the first wearable device to acquire physiological data and geographic position data and controlling the second wearable device to acquire the physiological data, the motion data and the geographic position data;
under the condition of the second electric quantity, controlling the first wearable device to acquire physiological data, motion data and geographic position data and controlling the second wearable device to acquire the physiological data and the geographic position data;
the first electric quantity condition is that the residual electric quantity percentage of the first wearable device is smaller than or equal to the residual electric quantity percentage of the second wearable device, and the second electric quantity condition is that the residual electric quantity percentage of the first wearable device is larger than the residual electric quantity percentage of the second wearable device.
Further, the acquisition control unit is provided with an acquisition cycle control strategy, including:
under the condition of the third electric quantity, the acquisition period of each data of the first wearable device is controlled to be increased;
under the fourth electric quantity condition, controlling an intelligent step counting unit of the first wearable device to stop counting steps, transmitting the position information of the current measured target to the health management module, and controlling a positioning unit to stop determining the gait of the measured target;
the third electric quantity condition is that the current electric quantity of the power supply unit of the first wearable device is lower than 20% of the maximum electric quantity; the fourth electric quantity condition is that the current electric quantity of the power supply unit of the first wearable device is lower than 10% of the maximum electric quantity.
Further, the positioning unit includes:
a direction sensor for determining a new moving direction of the measured object each time the direction of the measured object is changed according to 8 quadrants on a space defined by centering on the direction sensor;
a speed sensor for determining a moving speed of the measured object and determining a moving state of the measured object;
and the acceleration sensor is arranged on one side of the positioning unit, which is close to the forefront end of the shoe, and a mass block made of light materials is arranged in the acceleration sensor and is used for measuring the movement acceleration of the measured target according to the inertia force received by the mass block.
Further, the positioning unit determines the gait of the measured object according to the movement direction and the movement acceleration of the measured object and determines the movement position data of the measured object through the gait data and the step counting data, and the current position of the measured object is determined by the following formula:
l is the current position, L is the initial position of the current measurement,for a single gait vector>The ith gait vector is obtained, and n is the total gait number measured at this time.
Further, the cloud storage module corrects the data transmitted by the first wearable device according to the data of the second wearable device;
if the deviation of the positioning data of the second wearable device and the positioning data of the first wearable device exceeds the range, the cloud storage module determines an adjustment mode of the positioning unit according to the direction deviation and the distance deviation;
if the direction deviation exceeds the preset direction deviation range and the distance deviation is smaller than the preset distance deviation range, the cloud storage module corrects the acquired movement direction by adopting a direction correction vector, and calculates movement position data of the measured target;
if the direction deviation is smaller than the preset direction deviation range and the distance deviation is larger than or equal to the preset distance deviation range, the cloud storage module corrects the acquired step data by adopting the step correction amount and calculates the moving position data of the measured target;
and if the direction deviation is greater than or equal to a preset direction deviation range and the distance deviation is greater than or equal to a preset distance deviation range, the cloud storage module corrects the acquired step data of the movement direction and the step correction amount by adopting the direction correction vector, and calculates the moving position data of the measured target.
Further, the positioning unit determines a movement form according to the movement direction of a single movement period, and determines the working mode of the air pressure detection unit according to the movement form;
if the movement direction is the first movement direction, judging that the detected object moves in the height direction, and controlling the air pressure detection unit to start working to detect the height of the detected object;
if the movement direction is the second movement direction, judging that the measured object moves in the length direction, and controlling the air pressure detection unit to be closed;
the first movement direction is that an included angle between a connecting line of the position of the measured object at the end of the movement period and the initial position of the movement period and the horizontal direction is more than or equal to 10 degrees; the second movement direction is that the included angle between the connecting line of the position of the measured object at the end of the movement period and the initial position of the movement period and the horizontal direction is smaller than 10 degrees.
Further, the health management module detects according to each warning range set by the upper control module and sends warning information to the warning terminal under the corresponding warning triggering condition;
the corresponding warning trigger conditions are divided into physiological warning trigger conditions, movement warning trigger conditions and geographic position warning trigger conditions.
Further, the alarm terminal includes:
the single receiving terminal is used for receiving each item of physiological data, motion data and geographic position data of the detected target;
the corresponding first wearable device or second wearable device alarm terminal is connected with the first wearable device and the second wearable device and is used for alarming when various physiological data, motion data and geographic position data of a detected target are detected to reach corresponding alarm triggering conditions.
Compared with the prior art, the method has the beneficial effects that the physiological data, the motion data and the geographic position data of the detected target are detected in real time through the first wearing equipment and the second wearing equipment, the detected data are transmitted to the cloud storage module, the upper control module determines the geographic range boundary, the physiological data warning range and the motion data warning range of the detected target, and the health management module judges whether to send out an alarm or not according to whether the warning trigger condition is triggered or not according to the real-time detection result, so that the detection accuracy of the system is improved, the detection time is shortened, and the life health of the detected target is ensured.
Furthermore, the utility model collects the physiological data, the movement data and the geographical position data of the detected target through the first wearable device, positions the detected target in real time, provides a data base for the health management unit, can detect whether the detected target falls down or not and gives out an alarm to seek help, and ensures the life safety of the detected target.
Furthermore, the utility model ensures that the geographic position data and the physiological data of the detected target can be detected in real time through the working conditions under different electric quantities, and ensures that the geographic position state and the physiological state of the detected target are detected, and further the life safety of the detected target is ensured.
Furthermore, the utility model determines the position of the detected target through the gait of the detected target and the gait data and the step counting data of the detected target, measures various information in real time, ensures the accuracy of positioning the detected target, and can also ensure the position accuracy in a low-power state.
Further, the positioning unit is adjusted in different adjustment modes when the deviation of the positioning data of the second wearable device and the positioning data of the first wearable device exceeds the range, so that the accuracy of positioning the measured target is ensured, the detection of other data is not influenced, and the working state of the system is ensured.
Further, the utility model adjusts the working state of the air pressure detection unit according to whether the detected object moves in the height direction, reduces the electric quantity consumption of the power supply unit, improves the cruising ability of the system, and increases the detection time of the detected object.
Furthermore, the utility model alarms the detected target by setting the warning trigger condition, can set the corresponding warning trigger condition according to the detected target, ensures the accuracy of the warning, avoids the trouble to the detected target caused by early warning, and avoids the life health of the detected target being threatened by delayed warning.
Drawings
FIG. 1 is a block diagram of a real-time positioning and health detection management system based on a wearable device of the present utility model;
FIG. 2 is a schematic workflow diagram of a real-time localization and health detection management system based on a wearable device of the present utility model;
FIG. 3 is a schematic diagram of the operation of the real-time positioning and health detection management system based on the wearable device of the present utility model;
in the figure: 1, vamp; 2, soles; 3, an intelligent step counting unit; 4, a positioning unit; 5, an air pressure detection unit; 6, a fall alarm unit; 7, a data transmission unit; 8, connecting a matching unit; 9, collecting a control unit; 10, a power supply unit.
Detailed Description
In order that the objects and advantages of the utility model will become more apparent, the utility model will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the utility model.
Preferred embodiments of the present utility model are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present utility model, and are not intended to limit the scope of the present utility model.
It should be noted that, in the description of the present utility model, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present utility model.
Furthermore, it should be noted that, in the description of the present utility model, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present utility model can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 and 2, a block diagram and a workflow diagram of a real-time positioning and health detection management system based on a wearable device according to the present utility model are shown;
the utility model provides a real-time positioning and health detection management system based on wearable equipment, which comprises the following components:
the first wearing equipment is arranged on the tested target in a first wearing mode and used for collecting physiological data, motion data and geographic position data of the tested target;
the second wearable device is connected with the corresponding single first wearable device under the first matching condition and is used for acquiring physiological data, motion data and geographic position data of the detected target, acquiring all data by the first wearable device and correcting the position data of the detected target;
the cloud storage module is connected with the first wearable device and the second wearable device respectively and used for acquiring and storing acquired data of the first wearable device and/or the second wearable device;
the upper control module is connected with the cloud storage module and used for setting a geographic range boundary, a physiological data warning range and a motion data warning range of a measured target;
the health management module is connected with the upper control module and is used for setting warning trigger conditions according to physiological data, motion data and geographical position data of a detected target acquired by the first wearable device and/or the second wearable device, setting warning trigger conditions according to the set warning ranges and sending corresponding warnings to the detected target when triggering;
the first wearing mode is to be worn on the foot of the detected target, the first matching condition is that the second wearing equipment is away from the first wearing equipment by a preset distance, and physiological data of at least two detected targets collected by the second wearing equipment are identical to corresponding data collected by the first wearing equipment.
In a specific implementation process, when the measured target ensures that the electric quantity of the first wearing equipment and the electric quantity of the second wearing equipment are above 50%, the first wearing equipment and the second wearing equipment are worn and started, when the measured target moves, the first wearing equipment and the second wearing equipment detect physiological data, motion data and geographic position data of the measured target, the second wearing equipment adjusts the first wearing equipment according to comparison of detection data of the first wearing equipment and the second wearing equipment, a cloud storage module acquires acquisition data of the first wearing equipment and/or the second wearing equipment and stores the acquisition data, an upper control module determines a geographic range boundary, a physiological data warning range and a motion data warning range of the measured target according to the data stored by the cloud storage module, and a health management module sets warning trigger conditions according to the set warning ranges and sends out an alarm;
it can be understood that the physiological data of the measured target can be multiple data such as blood oxygen, blood pressure, heart rate, body temperature and the like, and can be determined according to the data required to be monitored by the measured target.
According to the utility model, the physiological data, the movement data and the geographic position data of the detected target are detected in real time through the first wearing equipment and the second wearing equipment, the detected data are transmitted to the cloud storage module, the upper control module determines the geographic range boundary, the physiological data warning range and the movement data warning range of the detected target, and the health management module judges whether to send out an alarm or not according to whether the warning trigger condition is triggered or not according to the real-time detection result, so that the detection accuracy of the system is improved, the detection time is shortened, and the life health of the detected target is ensured.
Fig. 3 is a schematic structural diagram of a first wearable device of the real-time positioning and health detection management system based on the wearable device;
specifically, the first wearable device is integrally provided in a shoe shape, including:
the intelligent step counting unit 3 comprises a first pedometer and a second pedometer which are respectively arranged on two soles 2 of the first wearing equipment and used for calculating the number of steps of a measured object, and the intelligent step counting unit judges whether corresponding movement is walking movement or not according to the height difference of the vertical change of the first pedometer and the second pedometer;
the positioning unit 4 is arranged at the junction of the vamp 1 and the sole 2 of the first wearable device and is used for determining the gait of the detected target according to the movement direction and the movement acceleration of the detected target and determining the movement position data of the detected target through the gait data and the step counting data;
the air pressure detection unit 5 is arranged at the top of the vamp of the first wearable device and is used for detecting the ambient air pressure of the current place of the detected target;
a fall alarm unit 6 which is respectively arranged on the outer side surfaces of the two shoes of the first wearing device, is connected with the positioning unit, is used for detecting physiological data of the detected target, judges whether the detected target falls according to detection results of gyroscopes respectively arranged on the two shoes, and gives an alarm to seek help when judging that the detected target falls;
the data transmission unit 7 is used for transmitting all data acquired by the positioning unit, the intelligent step counting unit and the air pressure detection unit to the second wearable device or the upper control module;
the connection matching unit 8 is used for establishing an information transmission channel with the second wearable device and the cloud storage module by sending corresponding matching signals;
the acquisition control unit 9 is connected with the intelligent step counting unit, the positioning unit and the air pressure detection unit and is used for controlling whether each detection unit works according to the current electric quantity of the first wearable device and the current gait of the detected target;
the power supply unit 10 is connected with the intelligent step counting unit, the positioning unit, the air pressure detection unit, the fall alarm unit, the data transmission unit, the connection matching unit and the acquisition control unit and is used for providing electric energy for each unit.
In the specific implementation process, the intelligent step counting unit determines a preset vertical height for judging walking according to the physical condition of the measured object, and when the single-movement height of the first wearable device worn by the measured object is higher than the preset vertical height, the intelligent step counting unit judges that the user walks for one step and counts; the positioning unit judges whether the detected object is walking or uses a vehicle according to the movement speed and the movement acceleration of the detected object, and the gait is stopped to be determined when the vehicle is used, so that the electric quantity is saved.
The fall alarm unit 6 judges whether or not the object to be measured falls based on the detection results of the gyroscopes provided on the two shoes, respectively, and if the detection results of the gyroscopes on the two shoes are both deviated from the initial state by a set angle, for example, 45 ° or more, judges that the object to be measured falls.
The utility model collects the physiological data, the movement data and the geographical position data of the detected target through the first wearable device, positions the detected target in real time, provides a data base for the health management unit, can detect whether the detected target falls down or not and gives an alarm to seek help, and ensures the life safety of the detected target.
Specifically, the acquisition control unit of the first wearable device is provided with a matching acquisition rule, including:
under the first electric quantity condition, controlling the first wearable device to acquire physiological data and geographic position data and controlling the second wearable device to acquire the physiological data, the motion data and the geographic position data;
under the condition of the second electric quantity, controlling the first wearable device to acquire physiological data, motion data and geographic position data and controlling the second wearable device to acquire the physiological data and the geographic position data;
the first electric quantity condition is that the residual electric quantity percentage of the first wearable device is smaller than or equal to the residual electric quantity percentage of the second wearable device, and the second electric quantity condition is that the residual electric quantity percentage of the first wearable device is larger than the residual electric quantity percentage of the second wearable device.
It can be understood that the first wearing equipment and the second wearing equipment are reasonably distributed to collect data, so that the collecting capacity can be reasonably distributed according to the electric quantity while all the required data are obtained, and the duration of the wearing equipment is prolonged.
Specifically, the acquisition control unit is provided with an acquisition cycle control strategy, comprising:
under the condition of the third electric quantity, the acquisition period of each data of the first wearable device is controlled to be increased;
under the fourth electric quantity condition, controlling an intelligent step counting unit of the first wearable device to stop counting steps, transmitting the position information of the current measured target to the health management module, and controlling a positioning unit to stop determining the gait of the measured target;
the third electric quantity condition is that the current electric quantity of the power supply unit of the first wearable device is lower than 20% of the maximum electric quantity; the fourth electric quantity condition is that the current electric quantity of the power supply unit of the first wearable device is lower than 10% of the maximum electric quantity.
In the specific implementation process, under the states of different electric quantities, the second wearable device prompts the electric quantity of the detected target, and the detected target can flexibly determine the return time or search the charging device to supplement electric energy according to the current electric quantity state.
According to the utility model, through the working conditions under different electric quantities, the geographic position data and the physiological data of the detected target can be detected in real time, the geographic position state and the physiological state of the detected target are detected, and the life safety of the detected target is further ensured.
Specifically, the positioning unit includes:
a direction sensor for determining a new moving direction of the measured object each time the direction of the measured object is changed according to 8 quadrants on a space defined by centering on the direction sensor;
a speed sensor for determining a moving speed of the measured object and determining a moving state of the measured object;
and the acceleration sensor is arranged on one side of the positioning unit, which is close to the forefront end of the shoe, and a mass block made of light materials is arranged in the acceleration sensor and is used for measuring the movement acceleration of the measured target according to the inertia force received by the mass block.
Specifically, the positioning unit determines the gait of the measured object according to the movement direction and the movement acceleration of the measured object, and determines the movement position data of the measured object through the gait data and the step counting data, and the current position of the measured object is determined by the following formula:
l is the current position, L is the initial position of the current measurement,for a single gait vector>The ith gait vector is obtained, and n is the total gait number measured at this time.
The utility model determines the position of the detected target through the gait of the detected target, the gait data and the step counting data of the detected target, measures various information in real time, ensures the accuracy of positioning the detected target, and can also ensure the position accuracy in a low-power state.
It will be appreciated that the single gait vector can be determined by the motion direction and motion acceleration of the single detected object to be measured, and in practice, the current geographic location of the object to be measured can be obtained by obtaining the motion acceleration and motion direction (acceleration direction) at the beginning and end of a single step movement, determining the direction of the single gait vector of the single step movement, fitting the time and motion speed of the single step movement, determining the single step length, determining the single gait vector of the single step movement, superimposing the gait vectors of each step, and projecting the superimposed gait vectors into a stored map for location determination.
Specifically, the cloud storage module corrects the data transmitted by the first wearable device according to the data of the second wearable device;
if the deviation of the positioning data of the second wearable device and the positioning data of the first wearable device exceeds the range, the cloud storage module determines an adjustment mode of the positioning unit according to the direction deviation and the distance deviation;
if the direction deviation exceeds the preset direction deviation range and the distance deviation is smaller than the preset distance deviation range, the cloud storage module corrects the acquired movement direction by adopting a direction correction vector, and calculates movement position data of the measured target;
if the direction deviation is smaller than the preset direction deviation range and the distance deviation is larger than or equal to the preset distance deviation range, the cloud storage module corrects the acquired step data by adopting the step correction amount and calculates the moving position data of the measured target;
and if the direction deviation is greater than or equal to a preset direction deviation range and the distance deviation is greater than or equal to a preset distance deviation range, the cloud storage module corrects the acquired step data of the movement direction and the step correction amount by adopting the direction correction vector, and calculates the moving position data of the measured target.
In a specific implementation process, the whole second wearable device is arranged to be of a watch type, the mode of the second wearable device for acquiring the geographic position data is real-time wireless positioning, and it can be understood that the real-time wireless positioning mode used by the second wearable device in the utility model can be any one of the prior art, and is not particularly limited herein;
it can be understood that in implementation, the positioning data of the initial position of the second wearable device and the positioning data of the initial position of the first wearable device default to be adjusted to be consistent, so that the positioning data of the current position of the first wearable device and the positioning data of the initial position form a first positioning vector, the positioning data of the current position of the second wearable device and the positioning data of the initial position form a second positioning vector, the value of the included angle between the first positioning vector and the second positioning vector is recorded as the value of the direction deviation, the positive and negative of the direction deviation is determined by the rotation direction from the direction of the first positioning vector to the direction of the second positioning vector, the clockwise direction is recorded as a positive value, and the counterclockwise direction is recorded as a negative value;
similarly, the length values of the first positioning vector and the second positioning vector are marked as the values of distance deviation, the positive and negative of the distance deviation are determined by the size relation between the length of the first positioning vector and the length of the second positioning vector, the length of the first positioning vector is smaller than the length of the second positioning vector and marked as positive, and the length of the first positioning vector is larger than the length of the second positioning vector and marked as negative.
The direction correction vector θ can be calculated by the direction deviation and the number of direction changes from the initial state to the current state, as follows:
wherein ΔΘ is a direction deviation, NA is the number of direction changes from the initial state to the current state;
direction Θ of the adjusted single gait vector b The method comprises the following steps:
Θ b ＝θ+Θ a
wherein Θ is a The direction of a single gait vector for a single detection of the first wearable device.
The step correction s can be calculated by the distance deviation and the number of direction changes from the initial state to the current state, and the formula is as follows:
wherein Δs is the distance deviation;
length S of adjusted single gait vector b The method comprises the following steps:
S b ＝s+S a
wherein S is a For single detection of the first wearable deviceDirection of the single gait vector.
The positioning data of the first wearable device are determined by real-time positioning data, the distance deviation is obtained by making a difference between the real-time positioning data and the positioning data calculated by the second wearable device, and the corresponding preset distance deviation range is determined according to the positioning of the measured target individual, but the distance deviation is required to be less than or equal to 5% of the total moving distance; the direction deviation is obtained by making a difference between a vector formed by the real-time positioning data and the initial position and a vector formed by the positioning data calculated by the second wearable device and the initial position, and the angle is the direction deviation, and the direction deviation is required to be smaller than or equal to 10 degrees.
According to the utility model, the positioning unit is adjusted in different adjustment modes when the deviation of the positioning data of the second wearable device and the positioning data of the first wearable device exceeds the range, so that the accuracy of positioning the measured target is ensured, the detection of other data is not influenced, and the working state of the system is ensured.
Specifically, the positioning unit determines a movement form according to the movement direction of a single movement period, and determines the working mode of the air pressure detection unit according to the movement form;
if the movement direction is the first movement direction, judging that the detected object moves in the height direction, and controlling the air pressure detection unit to start working to detect the height of the detected object;
if the movement direction is the second movement direction, judging that the measured object moves in the length direction, and controlling the air pressure detection unit to be closed;
the first movement direction is that an included angle between a connecting line of the position of the measured object at the end of the movement period and the initial position of the movement period and the horizontal direction is more than or equal to 10 degrees; the second movement direction is that the included angle between the connecting line of the position of the measured object at the end of the movement period and the initial position of the movement period and the horizontal direction is smaller than 10 degrees.
According to the utility model, the working state of the air pressure detection unit is adjusted according to whether the detected target moves in the height direction, so that the electric quantity consumption of the power supply unit is reduced, the cruising ability of the system is improved, and the detection time of the detected target is prolonged.
Specifically, the health management module detects according to each warning range set by the upper control module, and sends warning information to the warning terminal under the corresponding warning triggering condition;
the corresponding warning trigger conditions are divided into physiological warning trigger conditions, movement warning trigger conditions and geographic position warning trigger conditions.
In the specific implementation process, the physiological alert triggering condition is that detected target physiological data exceeds the physiological data alert range; the motion warning trigger condition is that the detected target motion data exceeds the motion data warning range; the geographic position alert trigger condition is the detection that the detected geographic position is beyond the geographic range boundary.
Specifically, the alarm terminal includes:
the single receiving terminal is used for receiving each item of physiological data, motion data and geographic position data of the detected target;
the corresponding first wearable device or second wearable device alarm terminal is connected with the first wearable device and the second wearable device and is used for alarming when various physiological data, motion data and geographic position data of a detected target are detected to reach corresponding alarm triggering conditions.
According to the utility model, the warning trigger condition is set to give an alarm to the detected target, so that the corresponding warning trigger condition can be set according to the detected target, the accuracy of the alarm is ensured, the trouble to the detected target caused by early warning is avoided, and the life health of the detected target is prevented from being threatened by delayed warning.
Thus far, the technical solution of the present utility model has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present utility model is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present utility model, and such modifications and substitutions will be within the scope of the present utility model.
The foregoing description is only of the preferred embodiments of the utility model and is not intended to limit the utility model; various modifications and variations of the present utility model will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present utility model should be included in the protection scope of the present utility model.
Claims (10)
1. Real-time positioning and health detection management system based on wearable equipment, characterized by comprising:
the first wearing equipment is arranged on the tested target in a first wearing mode and used for collecting physiological data, motion data and geographic position data of the tested target;
the second wearable device is connected with the corresponding single first wearable device under the first matching condition and is used for acquiring physiological data, motion data and geographic position data of the detected target, acquiring all data by the first wearable device and correcting the position data of the detected target;
the cloud storage module is connected with the first wearable device and the second wearable device respectively and used for acquiring and storing acquired data of the first wearable device and/or the second wearable device;
the upper control module is connected with the cloud storage module and used for setting a geographic range boundary, a physiological data warning range and a motion data warning range of a measured target;
the health management module is connected with the upper control module and is used for setting warning trigger conditions according to physiological data, motion data and geographical position data of a detected target acquired by the first wearable device and/or the second wearable device, setting warning trigger conditions according to the set warning ranges and sending corresponding warnings to the detected target when triggering;
the first wearing mode is to be worn on the foot of the detected target, the first matching condition is that the second wearing equipment is away from the first wearing equipment by a preset distance, and physiological data of at least two detected targets collected by the second wearing equipment are identical to corresponding data collected by the first wearing equipment.
2. The wearable device-based real-time location and health detection management system of claim 1, wherein the first wearable device is integrally configured as a shoe, comprising:
the intelligent step counting unit comprises a first pedometer and a second pedometer which are respectively arranged on two soles of the first wearing equipment and used for calculating the number of steps of a measured target, and the intelligent step counting unit judges whether corresponding movement is walking movement or not according to the height difference of the vertical change of the first pedometer and the second pedometer;
the positioning unit is arranged at the junction of the vamp and the sole of the first wearing equipment and used for determining the gait of the detected target according to the movement direction and the movement acceleration of the detected target and determining the movement position data of the detected target through the gait data and the step counting data;
the air pressure detection unit is arranged at the top of the vamp of the first wearable device and is used for detecting the ambient air pressure of the current place of the detected target;
the falling alarm unit is respectively arranged on the outer side surfaces of the two shoes of the first wearing equipment, is connected with the positioning unit, and is used for detecting physiological data of a detected target, judging whether the detected target falls according to detection results of gyroscopes respectively arranged on the two shoes, and sending out an alarm to seek help when judging that the detected target falls;
the data transmission unit is used for transmitting all data acquired by the positioning unit, the intelligent step counting unit and the air pressure detection unit to the second wearable device or the upper control module;
the connection matching unit is used for establishing an information transmission channel with the second wearable device and the cloud storage module by sending corresponding matching signals;
the acquisition control unit is connected with the intelligent step counting unit, the positioning unit and the air pressure detection unit and used for controlling whether each detection unit works according to the current electric quantity of the first wearable device and the current gait of the detected target;
the power supply unit is connected with the intelligent step counting unit, the positioning unit, the air pressure detection unit, the fall alarm unit, the data transmission unit, the connection matching unit and the acquisition control unit and is used for providing electric energy for each unit.
3. The wearable device-based real-time positioning and health detection management system of claim 2, wherein the acquisition control unit of the first wearable device is provided with matching acquisition rules comprising:
under the first electric quantity condition, controlling the first wearable device to acquire physiological data and geographic position data and controlling the second wearable device to acquire the physiological data, the motion data and the geographic position data;
under the condition of the second electric quantity, controlling the first wearable device to acquire physiological data, motion data and geographic position data and controlling the second wearable device to acquire the physiological data and the geographic position data;
the first electric quantity condition is that the residual electric quantity percentage of the first wearable device is smaller than or equal to the residual electric quantity percentage of the second wearable device, and the second electric quantity condition is that the residual electric quantity percentage of the first wearable device is larger than the residual electric quantity percentage of the second wearable device.
4. The wearable device-based real-time localization and health detection management system of claim 3, wherein the acquisition control unit is provided with an acquisition cycle control strategy comprising:
under the condition of the third electric quantity, the acquisition period of each data of the first wearable device is controlled to be increased;
under the fourth electric quantity condition, controlling an intelligent step counting unit of the first wearable device to stop counting steps, transmitting the position information of the current measured target to the health management module, and controlling a positioning unit to stop determining the gait of the measured target;
the third electric quantity condition is that the current electric quantity of the power supply unit of the first wearable device is lower than 20% of the maximum electric quantity; the fourth electric quantity condition is that the current electric quantity of the power supply unit of the first wearable device is lower than 10% of the maximum electric quantity.
5. The wearable device-based real-time localization and health detection management system of claim 4, wherein the localization unit comprises:
a direction sensor for determining a new moving direction of the measured object each time the direction of the measured object is changed according to 8 quadrants on a space defined by centering on the direction sensor;
a speed sensor for determining a moving speed of the measured object and determining a moving state of the measured object;
and the acceleration sensor is arranged on one side of the positioning unit, which is close to the forefront end of the shoe, and a mass block made of light materials is arranged in the acceleration sensor and is used for measuring the movement acceleration of the measured target according to the inertia force received by the mass block.
6. The wearable device-based real-time positioning and health detection management system according to claim 5, wherein the positioning unit determines a gait of the measured object according to a movement direction and a movement acceleration of the measured object and determines movement position data of the measured object through gait data and step counting data, and a current position of the measured object is determined by the following formula:
l is the current position, L is the initial position of the current measurement,for a single gait vector>The ith gait vector is obtained, and n is the total gait number measured at this time.
7. The wearable device-based real-time positioning and health detection management system of claim 6, wherein the cloud storage module corrects data transferred by the first wearable device according to data of the second wearable device;
if the deviation of the positioning data of the second wearable device and the positioning data of the first wearable device exceeds the range, the cloud storage module determines an adjustment mode of the positioning unit according to the direction deviation and the distance deviation;
if the direction deviation exceeds the preset direction deviation range and the distance deviation is smaller than the preset distance deviation range, the cloud storage module corrects the acquired movement direction by adopting a direction correction vector, and calculates movement position data of the measured target;
if the direction deviation is smaller than the preset direction deviation range and the distance deviation is larger than or equal to the preset distance deviation range, the cloud storage module corrects the acquired step data by adopting the step correction amount and calculates the moving position data of the measured target;
and if the direction deviation is greater than or equal to a preset direction deviation range and the distance deviation is greater than or equal to a preset distance deviation range, the cloud storage module corrects the acquired step data of the movement direction and the step correction amount by adopting the direction correction vector, and calculates the moving position data of the measured target.
8. The wearable device-based real-time positioning and health detection management system according to claim 7, wherein the positioning unit determines a movement form according to a movement direction of a single movement period, and determines a working mode of the air pressure detection unit according to the movement form;
if the movement direction is the first movement direction, judging that the detected object moves in the height direction, and controlling the air pressure detection unit to start working to detect the height of the detected object;
if the movement direction is the second movement direction, judging that the measured object moves in the length direction, and controlling the air pressure detection unit to be closed;
the first movement direction is that an included angle between a connecting line of the position of the measured object at the end of the movement period and the initial position of the movement period and the horizontal direction is more than or equal to 10 degrees; the second movement direction is that the included angle between the connecting line of the position of the measured object at the end of the movement period and the initial position of the movement period and the horizontal direction is smaller than 10 degrees.
9. The wearable equipment-based real-time positioning and health detection management system according to claim 8, wherein the health management module detects according to each warning range set by the upper control module and sends warning information to a warning terminal under the corresponding warning trigger condition;
the corresponding warning trigger conditions are divided into physiological warning trigger conditions, movement warning trigger conditions and geographic position warning trigger conditions.
10. The wearable device-based real-time location and health detection management system of claim 9, wherein the alarm terminal comprises:
the single receiving terminal is used for receiving each item of physiological data, motion data and geographic position data of the detected target;
the corresponding first wearable device or second wearable device alarm terminal is connected with the first wearable device and the second wearable device and is used for alarming when various physiological data, motion data and geographic position data of a detected target are detected to reach corresponding alarm triggering conditions.
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| CN117907731B (en) * | 2024-03-19 | 2024-05-31 | 成都瑞虎电子科技有限公司 | Electronic product aging test system and device |
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