CN210199944U - Human body activity monitoring and alarming device - Google Patents
Human body activity monitoring and alarming device Download PDFInfo
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- CN210199944U CN210199944U CN201920294343.1U CN201920294343U CN210199944U CN 210199944 U CN210199944 U CN 210199944U CN 201920294343 U CN201920294343 U CN 201920294343U CN 210199944 U CN210199944 U CN 210199944U
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Abstract
The utility model discloses a human body activity monitoring and alarming device, which comprises an MCU, an alarming module, a positioning module, a multi-axis acceleration sensor and a power module for supplying power; the multi-axis acceleration sensor is connected with the MCU to feed back a tumbling state, the alarm module is connected with the MCU to send an alarm signal, and the positioning module is connected with the MCU to be used for positioning. This technical scheme is through the human acceleration change of multiaxis acceleration sensor feedback, MCU gathers multiaxis acceleration sensor's data in real time and combines built-in algorithm to judge whether the human body falls, judge whether to be in the appointed area through orientation module and prevent that the old man from wandering away, then send warning sound and alarm information through alarm module, can know at the very first time after the solitary old man falls or wanders away, make the old man of falling or wandering away found and the relevant treatment of accepting as early as possible, the safety of old man has both been ensured, the human cost that daily old man of looking after need pay has been reduced again.
Description
Technical Field
The utility model relates to a human safety monitoring field, specificly relate to a human activity monitoring alarm device.
Background
With the aggravation of the aging of the population in China and the increase of the expected life, the health and safety problems of the old become one of the problems to be solved urgently in the current society. The solution of the medical care problem of the elderly by computer technology is becoming a popular research field. But is displayed according to relevant surveys. In the case that the old people get to the hospital for medical treatment due to injury, the case of falling over is more than 50 percent; in cases with severe injury and hospitalization, 80% of cases are falls. If the patient is not timely treated after falling down, the condition of the patient will be further worsened. Meanwhile, the proportion of dementia in the elderly is increasing day by day, and the problem of missing of the elderly also gradually becomes a social problem to be solved. With the development of society, the working pressure of each social worker is increasing. In modern society where the population is moving frequently, it is not practical to require that children in the home establishment always be around parents. At present, a device capable of monitoring the state of the old people in real time and automatically alarming when the old people fall down or get lost is lacked.
SUMMERY OF THE UTILITY MODEL
In order to solve the problem, the utility model aims at providing a can real time monitoring old man's state, automatic alarm's human activity monitoring alarm device when the old man falls down or wanders away.
The utility model adopts the technical proposal that:
a human activity monitoring alarm device comprising: the device comprises an MCU, an alarm module, a positioning module, a multi-axis acceleration sensor and a power supply module for supplying power; the multi-axis acceleration sensor is connected with the MCU to feed back a tumbling state, the alarm module is connected with the MCU to send an alarm signal, and the positioning module is connected with the MCU to be used for positioning.
Furthermore, the system also comprises a display screen and a key which are connected with the MCU, so as to realize human-computer interaction.
Further, the alarm module is a buzzer and a wireless communication module, and is used for sending local and remote alarm signals respectively.
Further, the multi-axis acceleration sensor is a three-axis acceleration sensor.
Further, the positioning module is a GPS module.
Further, the wireless communication module is a GSM module.
The beneficial effects of the utility model reside in that:
this technical scheme is through the human acceleration change of multiaxis acceleration sensor feedback, MCU gathers multiaxis acceleration sensor's data in real time and combines built-in algorithm to judge whether the human body falls, judge whether to be in the appointed area through orientation module and prevent that the old man from wandering away, then send warning sound and alarm information through alarm module, can know at the very first time after the solitary old man falls or wanders away, make the old man of falling or wandering away found and the relevant treatment of accepting as early as possible, the safety of old man has both been ensured, the human cost that daily old man of looking after need pay has been reduced again.
Drawings
FIG. 1 is a schematic block diagram of a human activity monitoring alarm device according to the present embodiment;
FIG. 2 is a flowchart illustrating the determination of the fall state in the present embodiment;
FIG. 3 is a flowchart illustrating a lost state determination process in the present embodiment;
FIG. 4 is a flow chart of an alarm according to the present embodiment;
FIG. 5 is a graph of acceleration change during a fall;
fig. 6 is a graph showing the acceleration change in normal walking.
Detailed Description
In order to explain the technical content, the objects and the effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
As shown in fig. 1, the embodiment of the present invention provides a human body activity monitoring and alarming device, which comprises: the device comprises an MCU1, an alarm module, a positioning module 2, a multi-axis acceleration sensor and a power supply module 4 for supplying power; the multi-axis acceleration sensor is connected with the MCU1 to be used for feeding back a falling state, the alarm module is connected with the MCU1 to be used for sending out an alarm signal, the positioning module 2 is connected with the MCU to be used for positioning, and the multi-axis acceleration sensor further comprises a display screen 5 and a key 6 which are connected with the MCU1 to realize human-computer interaction.
The alarm module is a buzzer 7 and a wireless communication module 8, and is used for sending local and remote alarm signals respectively.
Preferably, the multi-axis acceleration sensor is a three-axis acceleration sensor 3, the positioning module 2 is a GPS module, and other positioning modules such as a big dipper module can be adopted, and the wireless communication module 8 is a GSM module and other communication modules such as a Zigbee bus module can be adopted.
Wherein, the MCU1 model is STM32VCT6 in this embodiment, the model of GSM module is TC35I, the model of GPS module is ATK-NEO-6M, the display screen adopts the four-wire resistance touch-sensitive screen of model TSC2046, power module 4 includes switching power supply chip LM2576 and AMS1117-3.3V power supply chip LM2576 and supplies power for the GSM module alone, because the instantaneous current of GSM module when registering the login network is very big (about 2.5A), can lead to the power to produce a great voltage drop than, if external power supply voltage is too low, can be pulled down and put below GSM operating voltage when GSM starts, thereby lead to GSM constantly restarting. The peak value of the emission current of the GSM can reach 2.5A, the requirement on a power supply is high, and the AMS1117-3.3V supplies power to the MCU1, the triaxial acceleration sensor 3, the GPS module and the rest of other modules.
The triaxial acceleration sensor 3 is of the type ADXL345, and can perform high-resolution measurement on acceleration of up to +/-16 g. The digital output data is in a 16-bit two-complement format, can be accessed through an SPI (3 lines or 4 lines) or an I2C digital interface, realizes data acquisition of an A/D control party, has high resolution (4mg/LSB), and can measure the inclination angle change of about 0.25 degrees.
The motion state detection function and the interrupt function built in the ADXL345 hardly need to access the actual acceleration value and do not need to execute any other calculation, so that the complexity of the algorithm is reduced to the maximum extent, the MCU1 is built in with a tumble detection algorithm based on an SVA threshold value, and the tumble state of the human body is judged by reading the data of the ADXL 345. SVA (Signal VectorAmplite), i.e., vector magnitude. SVA is defined as follows:
wherein X is the acceleration value of the X-axis, Y is the acceleration value of the Y-axis, and Z is the acceleration value of the Z-axis. Since the direction of the fall cannot be predicted, it is not suitable to use the acceleration data region of a certain axis to determine the occurrence of the fall. The advantage of using SVAs is to integrate the spatial acceleration changes into a vector and to ignore the spatial direction of the vector-i.e., SVAs exceed a certain threshold regardless of the direction in which they fall. SVA indicates the degree of deviation of the current time acceleration from a normal value (1g), and when SVA is less than 1 and close to 0, it can be interpreted as a weightlessness state. And when the SVA value is quite large, the human body is subjected to quite large external force and generates large acceleration. The device mainly judges whether the human body is in a tumbling state or not by judging the relation between the SVA and the time.
The principle of the fall detection method in this embodiment is as follows:
fig. 6 is a graph showing the acceleration change during normal walking, and it can be understood that when an adult loses balance and gets no preparation, the adult suddenly changes from the posture stabilized immediately before to the lying state. In this process, the main factor of this movement process is influenced gravitationally. From the course of the change in the fall acceleration values shown in fig. 5, the following conclusions can be drawn: in the process of falling, the acceleration of the human trunk is changed to a certain extent. The device extracts acceleration information of each axis through the three-axis acceleration to carry out modeling and extract the characteristic value of the acceleration of the human body in the process of falling, sets a threshold value of data change, and judges that the human body falls when the data reach the threshold value.
The basis for judging the fall consists of the following aspects
① the process of weight loss during a fall is a brief fall out of balance during the first half of the fall, at which time the person experiences a brief loss of weight.
② the instantaneous acceleration of the human body when it hits a flat surface, it is a hurdle when a person falls because the acceleration increases the momentum of the person and the contact with the rigid ground creates a large ground reaction force against the person, which causes the instantaneous acceleration of the person to produce a peak value that is greatly different from the usual movement.
③ generally, the person cannot stand immediately after ① and ② processes, and the person will remain still for a short period of time.
The three processes together form the basis for judging the fall detection state in the embodiment.
The built-in algorithm of the MCU in the embodiment comprises a loss prevention algorithm and a fall detection algorithm, and the running steps of the built-in program of the MCU are as follows:
s100, starting a program to run, reading information of the three-axis acceleration sensor by the MCU to judge whether the three-axis acceleration sensor is in a falling state, and reading the positioning module to judge whether the three-axis acceleration sensor is in a lost state;
s200, if the robot is in a tumbling state, entering a tumbling alarm process; if the current position information is in the non-specified range, entering a lost alarm process, wherein the lost alarm process is to send the current position information to a specified contact person through a short message or a telephone.
As shown in FIG. 2, the MCU process for determining the tumbling status is
S101, reading the initial state by the MCU, judging whether weightlessness interruption is generated or not, if not, reading again by the MCU later, and if so, entering the next step;
s102, reading whether continuous weightlessness interruption occurs or not, if so, returning to the step S101, and if not, entering the next step;
s103, judging whether the weightlessness interruption process is overtime, if yes, returning to the step S101, and if not, entering the next step;
s104, judging whether collision interruption is generated or not by the speed data, if not, returning to the step S103, and if so, entering the next step;
s105, judging whether the collision interruption process is overtime, if yes, returning to the step S101, and if not, entering the next step;
and S106, comparing the current static state with the initial state, if the current static state is the same as the initial state, returning to the step S101, and if the current static state is different from the initial state, judging that the robot is in a tumbling state.
The utility model provides a prevent function of wandering away need set up initial information in MCU's procedure in advance, including the distance of preventing the range of wandering away and the SMS contact information of appointed warning, the cell-phone that has passed through the certification can long-range send the SMS and set up the scope value of old man's activity, and the certification cell-phone number can be through the manual setting of button, as fig. 3, be to the judgement flow of the state of wandering away among the MCU for the manual setting of button
S111, firstly, the MCU checks whether the anti-lost zone bit exists or not, if not, the anti-lost zone bit is established and the anti-lost zone bit is stored in an anti-lost range variable A, and the specific steps are
S111a, MCU judges whether the lost function is enabled, if not, returns to step S111, if yes, enters the next step;
s111b, setting a loss prevention mark;
s111c, reading current GPS coordinate information and storing the current GPS coordinate information into a variable;
s111d, reading the preset information of the short message, calculating the loss prevention range and storing the loss prevention range into a variable A.
If the anti-lost flag bit exists, the setting process of the anti-lost range variable A is skipped, and the anti-lost alarm process is directly entered, as follows
S112, reading the GPS coordinate value B;
s113, comparing the read GPS coordinate value B with the loss prevention range variable A, if B is less than or equal to A, not entering an alarm state, and if B is greater than A, entering the next step;
and S114, the MCU sends the GPS coordinate information to the appointed mobile phone through a short message to alarm.
The anti-lost alarm function is mainly applied to preventing the dementia old people from being lost. The mobile phone after being authenticated can remotely send short messages to set the range value of the activity of the old people, and when the activity of the old people exceeds the limited range value, the design can feed back the position information of the old people to the mobile phone of the authenticated user through the wireless communication module within a specified time interval.
Through testing, the device has a certain false alarm rate, so that the MCU can not send out a notification short message after detecting the fall but make the buzzer sound first, and after a specified time, and the buzzer is determined as an effective judgment if the cancel button is not pressed. Therefore, the position information of the tumble person is sent to the mobile phone of the appointed contact person or the telephone of the appointed contact person is dialed.
As shown in fig. 4, the specific fall alarm process in step S200 is
S201, detecting the occurrence of the fall-down,
s202, the buzzer sends out alarm sound, and at the moment, short message/telephone alarm information is not sent;
s203, judging whether the alarm is misinformed by the user, and if the alarm is misinformed, canceling the alarm by the user through a key; if the false alarm is not given, the next step is carried out,
s204, if the user does not cancel the operation through the key within the appointed time when the alarm sound is sounded, the position information read last time is extracted to carry out short message/telephone alarm.
The device is also provided with a manual alarm function, and if the MCU does not judge that the falling state does not enter the alarm process after the user falls down, the user can alarm through a key manual short message/telephone.
To sum up, this embodiment feeds back the acceleration change of human body through multiaxis acceleration sensor, MCU gathers multiaxis acceleration sensor's data in real time and combines built-in algorithm to judge whether the human body falls, judge whether to be in appointed region through orientation module and prevent the old man from wandering away, then send alarm sound through bee calling organ, send alarm information for appointed cell-phone through wireless communication module, can know at the very first time after the solitary old man falls or wanders away, make the old person who falls or wanders away found and accepted relevant treatment as early as possible, the safety of old man has both been ensured, the human cost that daily care old man need pay has been reduced again.
The above mentioned is only the embodiment of the present invention, and not the limitation of the patent scope of the present invention, all the equivalent transformations made by the contents of the specification and the drawings, or the direct or indirect application in the related technical field, are included in the patent protection scope of the present invention.
Claims (4)
1. A human activity monitoring and alarming device is characterized by comprising: the device comprises an MCU (1), an alarm module, a positioning module (2), a multi-axis acceleration sensor and a power supply module (4) for supplying power; the multi-axis acceleration sensor is connected with the MCU (1) and used for feeding back a tumbling state, the alarm module is connected with the MCU (1) and used for sending out an alarm signal, and the positioning module (2) is connected with the MCU (1) and used for positioning; the alarm module is a buzzer (7) and a wireless communication module (8) for respectively sending local and remote alarm signals, and the wireless communication module (8) is a GSM module; the power module (4) comprises a switch power chip and a 3.3V power chip, the switch power chip supplies power to the GSM module, and the 3.3V power chip supplies power to the MCU (1), the multi-axis acceleration sensor, the GPS module, the buzzer (7) and the positioning module.
2. The human activity monitoring alarm device of claim 1, wherein: the device also comprises a display screen (5) and a key (6) which are connected with the MCU (1) and used for realizing human-computer interaction.
3. The human activity monitoring alarm device of claim 1, wherein: the multi-axis acceleration sensor is a three-axis acceleration sensor (3).
4. The human activity monitoring alarm device of claim 1, wherein: the positioning module (2) is a GPS module.
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| CN201920294343.1U CN210199944U (en) | 2019-03-07 | 2019-03-07 | Human body activity monitoring and alarming device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113096356A (en) * | 2021-03-31 | 2021-07-09 | 西安建筑科技大学 | Intelligent falling-down alarming and positioning old man shoes |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113096356A (en) * | 2021-03-31 | 2021-07-09 | 西安建筑科技大学 | Intelligent falling-down alarming and positioning old man shoes |
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