CN113241199A - Smart home old-age-care health management system - Google Patents
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Abstract
The invention relates to the technical field of monitoring equipment for the old, and provides an intelligent home-based care health management system for solving the problem of inaccurate comparison result caused by adopting the same standard data for comparison, which comprises a receiving module, a monitoring module and a monitoring module, wherein the receiving module is used for receiving physical sign monitoring data; the storage module is preset with a plurality of physical sign types under different motion states and data threshold ranges corresponding to the physical sign types; the identification module is used for identifying the physical sign type of the physical sign monitoring data; the receiving module also receives a scene video; the recognition module also recognizes the posture behavior of the old people in the scene video to obtain the current motion state of the old people; the device also comprises a matching module for matching a data threshold range corresponding to the current motion state of the old; the comparison module compares the physical sign monitoring data with the matched data threshold range; and when the compared physical sign monitoring data exceeds the corresponding data threshold range, the prompt module sends prompt information.
Description
Technical Field
The invention relates to the technical field of monitoring equipment for the old, in particular to an intelligent home-based care health management system.
Background
As the aging phenomenon of the population in China is getting more and more serious, and as the number of the empty nesters increases year by year, the situations of accidents of the family old people caused by unattended operation are more and more, so the life monitoring of the family old people is very important.
At present, when monitoring the life of the old people, the existing intelligent health system usually adopts wearable equipment to monitor the physical sign condition of the old people in real time, and sends prompt information to medical staff or guardians when the physical sign monitoring data of the old people are abnormal, so that the medical staff or the guardians are reminded to check the abnormal condition of the old people in time, and the old people with the abnormal condition can be timely treated. However, when the existing intelligent health system determines whether the monitoring data of the physical signs of the elderly is abnormal, the data monitored by the wearable device is usually determined by comparing the data monitored by the wearable device with a preset standard data, and when the monitored data exceeds the standard data, the abnormal monitoring data of the physical signs is determined. However, since the elderly are in different exercise states, the standard data in the normal situation should be different, for example, when the elderly are in exercise, the data such as pulse and heart rate will be higher in the normal situation than when the elderly are in normal activity. Therefore, the problem of inaccurate comparison result is caused by a mode of directly comparing the physical sign monitoring data of the old with the preset standard data in the prior art.
Disclosure of Invention
The invention aims to provide an intelligent home-based care health management system to solve the problem that in the prior art, the comparison result is inaccurate because the same standard data is adopted to compare physical sign monitoring data in different motion states.
The basic scheme provided by the invention is as follows: a smart home-based care health management system comprises a receiving module, a monitoring module and a control module, wherein the receiving module is used for receiving physical sign monitoring data uploaded by monitoring equipment;
the storage module is preset with a plurality of physical sign types and data threshold ranges corresponding to the physical sign types;
the identification module is used for identifying the physical sign type of the physical sign monitoring data;
the comparison module is used for comparing the uploaded physical sign monitoring data with a preset data threshold range corresponding to the physical sign type;
the prompt module is used for sending out prompt information when the uploaded physical sign monitoring data exceeds the data threshold range of the corresponding physical sign type;
the receiving module is also used for receiving a scene video of the old; the preset data threshold range in the storage module comprises data threshold ranges of different physical sign types under different motion states;
the recognition module is also used for recognizing the posture behavior of the old people in the scene video to obtain the current motion state of the old people;
the device also comprises a matching module which is used for matching a data threshold range of the corresponding physical sign type in the motion state corresponding to the current motion state of the old from the storage module;
the comparison module is used for comparing the uploaded physical sign monitoring data with the matched data threshold range; when the compared sign monitoring data exceeds the data threshold range of the corresponding sign type, the prompting module sends prompting information, and when the compared sign monitoring data belongs to the data threshold range of the corresponding sign type, the prompting module does not send the prompting information.
The principle and the beneficial effects of the basic scheme are as follows: in the scheme, the physical sign monitoring data received by the receiving module can represent the physical sign state of the current old man, and the normal numerical values of different types of physical sign data are different, so that the storage module also presets a plurality of physical sign types and data threshold ranges corresponding to the physical sign types, then the identification module is used for identifying the physical sign types of the uploaded physical sign monitoring data, the comparison module compares the physical sign monitoring data with the data threshold ranges corresponding to the physical sign types, if the current physical sign monitoring data exceeds the data threshold ranges, the current physical sign monitoring data are represented to be abnormal, and then the prompt module sends prompt information at the moment so as to prompt the current abnormal condition.
In the comparison process, each physical sign data will change under different motion states, that is, for the same physical sign type, the data threshold ranges under different motion states will be different, so in order to ensure the accuracy of the prompt, in the scheme, the data threshold range preset by the storage module is also set to be the data threshold range including different physical sign types under different motion states, the receiving module is also set to receive the scene video where the old person is located, the identification module identifies the posture behavior of the old person in the scene video to identify the current motion state of the old person, if the current motion state of the old person is identified as a rest, each physical sign monitoring data under the motion state should be lower than each physical sign monitoring data under the normal activity state at ordinary times, and each physical sign monitoring data under the motion state should be higher than each physical sign monitoring data under the normal activity state at ordinary times, therefore, in the scheme, after the current motion state of the old people is identified, the matching module matches the data threshold range of the corresponding physical sign type in the motion state corresponding to the current motion state of the old people from the storage module, the comparison module compares the uploaded physical sign monitoring data with the data threshold range of the corresponding physical sign type in the matched corresponding motion state when comparing, so that the accuracy of the comparison result can be improved, and the prompt module is set to send the prompt information only when the comparison result shows that the physical sign monitoring data exceeds the data threshold range of the corresponding physical sign type, so that the prompt accuracy is also improved.
The first preferred scheme is as follows: preferably, the storage module is further preset with an excess data threshold range of different physical sign types when the motion state is motion, the excess data threshold range is larger than the data threshold range, when the current motion state of the old is recognized to be motion and the comparison result shows that the physical sign monitoring data exceeds the data threshold range of the corresponding physical sign type, the comparison module further compares the physical sign monitoring data with the excess data threshold range, when the comparison result shows that the physical sign monitoring data belongs to the excess data threshold range, the prompt module sends excess information, and when the comparison result shows that the physical sign monitoring data exceeds the excess data threshold range, the prompt module sends prompt information. Has the advantages that: considering that the reason that the physical sign monitoring data of the old people exceeds the data threshold range is caused by the excessive movement of the old people except the abnormal physical state of the old people, in the scheme, when the old people do exercise, when the physical sign monitoring data of the old people is compared to exceed the data threshold range under the normal condition, the physical sign monitoring data is compared with the excessive data threshold range under the excessive movement condition, when the physical sign monitoring data belongs to the excessive data threshold range, the current physical sign monitoring data of the old people is abnormal due to the excessive movement but not due to the abnormal physical condition, at the moment, the prompting module sends excessive information to remind the old people to reduce the amount of exercise, so that the abnormal physical condition caused by the excessive amount of exercise is reduced, and when the physical sign monitoring data is compared to exceed the excessive data threshold range, the abnormal physical sign monitoring data of the current old people are shown and do not belong to the situation caused by excessive movement, and the prompt module needs to send prompt information at the moment, so that the prompt accuracy is improved.
The preferred scheme II is as follows: preferably, the recognition module further recognizes facial expressions of the old people in the scene video, and the prompting module sends alarm information when recognizing that the facial expressions are painful. Has the advantages that: consider when some unexpected accidents appear, but the condition is not serious like the old man's unexpected such as the foot of river bend appears or collide with, to the foot of river bend for example, because the foot condition of river bend is not serious, so can not influence the sign monitoring data who monitors yet, but probably can lead to old man's life inconvenient, therefore in this scheme, still utilize identification module to discern the facial expression of old man, if when discerning the facial expression of old man is painful, prompt module sends alarm information this moment, report to the police, notify medical personnel or guardian's mode through reporting to the police, make unexpected old man of emergence can obtain timely nurse, reduce the old man and appear the inconvenient condition of life.
The preferable scheme is three: preferably, as a second preferred scheme, the storage module is preset with a first monitoring frequency and a second monitoring frequency, and the first monitoring frequency is smaller than the second monitoring frequency; the monitoring device is controlled to perform monitoring operation according to the first monitoring frequency, and the monitoring device is controlled to perform monitoring operation according to the second monitoring frequency when the facial expression of the old is identified as pain. Has the advantages that: considering that the physical quality of the old people generally decreases, when an accident occurs, although there may be no problem at that time, the old people may induce the disease and other conditions, in the scheme, the storage module is preset with the first monitoring frequency and the second monitoring frequency, under the daily condition, the control module is set to control the monitoring device to perform the monitoring operation according to the first monitoring frequency with low frequency, so that the power consumption of the monitoring device can be reduced, because the existing monitoring devices are mostly wearable, the monitoring devices are small in size, the power supply is smaller, for the old people, the power supply replacement is a laborious thing, so that the power consumption of the monitoring device can be reduced, the power supply replacement time can be prolonged, and the power supply replacement frequency can be reduced, when the accident occurs, namely, the facial expression of the old people is identified as painful, in order to find out the abnormal condition in time, the monitoring frequency needs to be increased, so that the control module controls the monitoring equipment to perform monitoring operation according to the second monitoring frequency with high frequency, and the abnormal condition can be found out in time through the matching with the comparison module.
The preferable scheme is four: preferably, as a third preferred embodiment, the storage module further presets a time threshold; the monitoring device is controlled by the control module according to the first monitoring frequency, the monitoring device is controlled by the control module according to the second monitoring frequency, the timing module is used for timing to obtain monitoring duration, the comparison module is further used for comparing the monitoring duration with a time threshold, in the timing process that the monitoring duration is equal to the time threshold in comparison, when the prompt module sends prompt information, the timing module restarts timing to obtain the monitoring duration, if the prompt module does not send the prompt information, after the monitoring duration is equal to the time threshold in comparison, the timing module resets the monitoring duration and stops timing, and the control module controls the monitoring device to perform monitoring operation according to the first monitoring frequency. Has the advantages that: because there may be no abnormal situation after the sudden accident occurs, if a higher monitoring frequency is always adopted after the sudden accident occurs, the power consumption of the monitoring device is greatly increased, in the scheme, a time threshold is also preset, in the timing process of comparing that the monitoring time length is equal to the time threshold, if the prompting module sends the prompting information, it indicates that the old people have abnormal occurrence in the preset time length, and a series of chain reactions are usually caused when the old people have abnormal occurrence, therefore, the timing module restarts timing to obtain a new monitoring time length, and the high-frequency monitoring time length can be prolonged, and if the prompting module does not send the prompting information in the preset time length, it indicates that the previous sudden accident has not induced the abnormal occurrence of the old people, in this case, the high-frequency monitoring operation does not need to be continued, therefore, the timing module stops timing at the moment, the accuracy of the next timing is guaranteed by resetting the monitoring duration, and meanwhile the control module controls the monitoring equipment to perform monitoring operation according to the first monitoring frequency, so that the monitoring frequency of the monitoring equipment is reduced, and the power consumption of the monitoring equipment is also reduced.
The preferable scheme is five: as the optimization of the basic scheme, a motion amount calculation rule is prestored in the storage module; the system also comprises a calculation module used for calculating the uploaded physical sign monitoring data according to the exercise amount calculation rule to obtain real-time exercise amount, and a prompt module used for sending exercise amount prompt information according to the exercise amount. Has the advantages that: consider that old man's health state also can be different at different times, and to different health states under, suitable amount of exercise also can be different, therefore in this scheme, through the mode of predetermineeing amount of exercise calculation rule, obtain real-time amount of exercise after calculating the sign monitoring data of uploading, because the current health state of old man can be reflected in real time to the sign monitoring data of uploading, consequently the real-time amount of exercise that corresponds that the calculation obtained just also more is fit for current old man's health state, the suggestion module still is used for sending the amount of exercise reminding information according to the amount of exercise after, old man just also can know the amount of exercise that is fit for oneself current health state, thereby can reduce the excessive condition of appearance when the motion of old man, thereby can reduce the unusual condition of appearance because the amount of exercise is too big when the old man moves.
Drawings
Fig. 1 is a block diagram of a first embodiment of a health management system for intelligent home care.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
Substantially as shown in figure 1: an intelligent home-based elderly health management system comprises a receiving module, a monitoring module and a display module, wherein the receiving module is used for receiving physical sign monitoring data uploaded by monitoring equipment and a scene video of an old person; sign monitoring data is gathered by wearable monitoring facilities, and the scene video is gathered by installing the camera in indoor and is obtained.
The storage module is preset with a plurality of physical sign types and data threshold ranges corresponding to the physical sign types, and the data threshold ranges comprise data threshold ranges of different physical sign types in different motion states; the embodiment comprises three motion states of sports, normal activities and rest; the excessive data threshold range preset with different physical sign types when the motion state is motion is also stored, and the excessive data threshold range is larger than the data threshold range; a first monitoring frequency, a second monitoring frequency and a time threshold value are also preset, wherein the first monitoring frequency is smaller than the second monitoring frequency; the motion amount calculation rule is also prestored.
The recognition module is used for recognizing the sign type of the sign monitoring data, recognizing the gesture behavior of the old people in the scene video to obtain the current motion state of the old people and recognizing the facial expressions of the old people in the scene video;
the matching module is used for matching a data threshold range of the corresponding physical sign type in the motion state corresponding to the current motion state of the old from the storage module;
the comparison module is used for comparing the uploaded physical sign monitoring data with the matched data threshold range of the corresponding physical sign type; when the current motion state of the old is recognized as motion and the comparison result shows that the physical sign monitoring data exceed the data threshold range of the corresponding physical sign type, the comparison module also compares the physical sign monitoring data with the excessive data threshold range;
the prompting module is used for sending prompting information when the comparison result shows that the physical sign monitoring data exceeds the data threshold range of the corresponding physical sign type under the condition that the motion state is not motion, sending the excess information when the comparison result shows that the physical sign monitoring data belongs to the excess data threshold range under the condition that the motion state is motion, sending the prompting information by the prompting module when the comparison result shows that the physical sign monitoring data exceeds the excess data threshold range under the condition that the motion state is motion, and not sending the prompting information when the comparison result shows that the physical sign monitoring data belongs to the data threshold range of the corresponding physical sign type;
when the facial expression is identified as painful, the prompting module sends alarm information;
the control module is used for controlling the monitoring equipment to carry out monitoring operation according to the first monitoring frequency and controlling the monitoring equipment to carry out monitoring operation according to the second monitoring frequency when the facial expression of the old is identified as pain; in this embodiment, the control module can communicate with the monitoring device, and the control module controls the monitoring device to perform monitoring operation according to the first monitoring frequency or the second monitoring frequency, specifically, the control module sends the first monitoring frequency or the second monitoring frequency to the monitoring device, and the control unit inside the monitoring device controls the acquisition unit to acquire the sign monitoring data according to the first monitoring frequency or the second monitoring frequency.
The timing module is used for starting timing to obtain monitoring duration when the control module controls the monitoring equipment to perform monitoring operation according to the second monitoring frequency, the comparison module is also used for comparing the monitoring duration with a time threshold, in the timing process that the monitoring duration is equal to the time threshold after comparison, when the prompt module sends prompt information, the timing module restarts timing to obtain the monitoring duration, if the prompt module does not send the prompt information, after the comparison result shows that the monitoring duration is equal to the time threshold, the timing module resets the monitoring duration and stops timing, and the control module controls the monitoring equipment to perform monitoring operation according to the first monitoring frequency.
The calculation module is used for calculating the uploaded physical sign monitoring data according to the exercise amount calculation rule to obtain real-time exercise amount, and the prompt module sends exercise amount prompt information according to the exercise amount.
The specific implementation process is as follows: in an initial state, the default control module controls the monitoring equipment to monitor according to the first monitoring frequency. The receiving module receives the sign monitoring data uploaded by the monitoring equipment, in the embodiment, the monitoring equipment actively uploads the sign monitoring data to the receiving module after collecting the sign monitoring data, the sign monitoring data comprises monitoring data such as heart rate, sleep, blood pressure, blood oxygen and blood sugar, the corresponding sign type is the monitoring data such as heart rate, sleep, blood pressure, blood oxygen and blood sugar, and the particularly adopted sign monitoring data can be selected autonomously according to requirements.
The storage module is preset with an exercise amount calculation rule, the calculation module calculates uploaded physical sign monitoring data according to the exercise amount calculation rule to obtain real-time exercise amount, specifically, the early-morning waking time of the old is set to be six o 'clock and half, the calculation module calculates the current exercise amount of the old at the six o' clock and half clock, and the exercise amount calculation rule is as follows: firstly, acquiring the pulse frequency within one minute; calculating the average blood pressure: mean blood pressure ═ diastolic blood pressure + (systolic blood pressure-diastolic blood pressure)/3, where diastolic blood pressure refers to the lowest blood pressure within one minute and systolic blood pressure refers to the highest blood pressure within one minute; calculating the energy of the old on the same day: (700-3 pulse count-2.5 mean blood pressure-2.7 age +0.28 weight)/(350-2.6 age +2.1 height), wherein the age, weight and height of the elderly are stored in the storage module in advance; and fourthly, after the energy of the old people in the same day is calculated, the exercise amount of the old people in the same day can be obtained according to the preset coefficient. The determination of the coefficients can be set by the old's past exercise situation.
When the monitoring device is used, the receiving module receives the physical sign monitoring data uploaded by the monitoring device and also receives the uploaded scene video of the old. Then, the identification module identifies the physical sign type of the uploaded physical sign monitoring data, taking the heart rate as an example, and the data threshold range and the excess data threshold range pre-stored in the storage module are shown in table one.
Watch 1
| State of motion | Data threshold range | Excess data threshold range |
| Exercise of sports | K11＜K12 | K13＜K14 |
| Normal activities | K21＜K22 | K23＜K24 |
| Rest for taking a rest | K31＜K32 | K33＜K34 |
The recognition module also recognizes the posture behaviors of the old people in the scene video according to the scene video to obtain the current motion state of the old people. In the embodiment, in the process of identifying the motion state of the old man, the motion space-time characteristics of the old man are extracted from a scene video, because human motion is mainly composed of a series of postures, human posture extraction is based on human target monitoring and tracking, a posture silhouette sequence of specific human motion is extracted and subjected to transformation and dimension reduction processing, so that the human motion characteristics are converted, corresponding motion behaviors are identified from a preset motion behavior set, and finally the current motion state of the old man is determined by combining information such as the target position of the old man in the scene video, a home scene and the like, wherein the preset motion behavior set is a motion behavior set obtained by collecting daily motion post-processing of the old man in advance.
When the current motion state of the old people is identified, the matching module matches a data threshold range of a corresponding sign type in the motion state corresponding to the current motion state of the old people from the storage module, for example, when the feature type is a heart rate, if the motion state of the old people is identified to be rest or normal activity, and if the compared sign monitoring data exceeds the data threshold range, the prompting module sends prompting information, if the sign data is abnormal, and if the compared sign monitoring data belongs to the data threshold range, the prompting information is not sent.
When the motion state of the old is recognized as motion, when the compared physical sign monitoring data belong to the range of the data threshold value, the prompting module does not send prompting information, when the compared physical sign monitoring data exceed the range of the data threshold value, the physical sign monitoring data are also compared with the range of the excess data threshold value, when the compared physical sign monitoring data belong to the range of the excess threshold value, the prompting module sends the excess information, such as 'the current motion amount exceeds the standard', and when the compared physical sign monitoring data exceed the range of the excess threshold value, the prompting module sends the prompting information, such as 'the physical sign data are abnormal'.
The recognition module is used for recognizing facial images of the old people according to the scene video, when the facial images are painful, the prompting module sends alarm information, specifically, facial expression images with different expressions of the old people are prestored in the storage module, when the recognition module recognizes the facial expressions of the old people in the scene video, the facial expressions of the old people are extracted from the scene video, then the extracted facial expressions of the old people are recognized according to the prestored facial expression images with different expressions, and if the extracted facial expressions of the old people are the same as the preset painful facial expression images, the current facial expressions of the old people are judged to be painful.
Example two
Considering that many old people usually live alone at home, children or grandchildren are not around, and the children usually call to know the situation of the children or grandchildren, and the children usually work busy at ordinary times, so that the communication with the old people may be dredged, and many old people have the solitary feeling.
Therefore, the difference from the first embodiment is that the present solution further includes a sharing subsystem, and the sharing subsystem communicates with the senior and the child. The sharing subsystem comprises a communication module and is used for acquiring life data uploaded by the children, the life data comprise life photos and life videos, the storage module stores the life data, and the storage module stores the life data in a classified mode. The old man end can also look over the corresponding data of life of storage through visiting the sharing subsystem, and on the one hand the old man can in time know children's life condition, and on the other hand also can send time, reduces the solitary sense.
The statistical module is used for checking the times of different types of life data;
the sorting module is used for sorting the checking times of different types of life data, specifically, sorting the different types of life data in a sequence from high to low, wherein the high-sorted type of life data is life data which the old people are interested in;
the pushing module is used for pushing type information to the children according to the types of the high-ranking life materials; in this embodiment, during pushing, type information is pushed to the child according to the type of the first-ranked living data, where the type information includes the belongings.
The communication module is also used for accessing the children end, new life data are stored in the accessed children end, the types of the life data are high-ranking life types, the communication module extracts the corresponding life data from the children end, and the storage module stores the life data.
After the sharing subsystem is set, children of the old can upload the living data shot by the children to the sharing subsystem through the children, and the storage module is used for classified storage. The old people can access the sharing subsystem through the old people terminal, and the stored life data can be checked. The counting module counts the checking times of different types of life data, the set types are A, B and C, and if the counted checking times of the life data of the type A is X1, the checking times of the life data of the type B is X2 and the checking times of the life data of the type C is X3. After the sorting module sorts, if X2 > X3 > X1, the data are sorted from high to low into type B, type C and type A.
The pushing module pushes the type information of the type B to the corresponding children, and if the type information of the type B is 'belonged to the nail', the children know which life data can be uploaded more after pushing the type information related to the children.
Considering that the children are busy sometimes and forget to upload new life data, in the scheme, a communication module is further arranged to access the children, actively extract new life data corresponding to high-ranking life types and update the stored life data timely.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (6)
1. A smart home-based care health management system comprises a receiving module, a monitoring module and a control module, wherein the receiving module is used for receiving physical sign monitoring data uploaded by monitoring equipment;
the storage module is preset with a plurality of physical sign types and data threshold ranges corresponding to the physical sign types;
the identification module is used for identifying the physical sign type of the physical sign monitoring data;
the comparison module is used for comparing the uploaded physical sign monitoring data with a preset data threshold range corresponding to the physical sign type;
the prompt module is used for sending out prompt information when the uploaded physical sign monitoring data exceeds the data threshold range of the corresponding physical sign type;
the method is characterized in that: the receiving module is also used for receiving a scene video of the old; the preset data threshold range in the storage module comprises data threshold ranges of different physical sign types under different motion states;
the recognition module is also used for recognizing the posture behavior of the old people in the scene video to obtain the current motion state of the old people;
the device also comprises a matching module which is used for matching a data threshold range of the corresponding physical sign type in the motion state corresponding to the current motion state of the old from the storage module;
the comparison module is used for comparing the uploaded physical sign monitoring data with the matched data threshold range; when the compared sign monitoring data exceeds the data threshold range of the corresponding sign type, the prompt module sends the prompt information, and when the compared sign monitoring data belongs to the data threshold range of the corresponding sign type, the prompt module does not send the prompt information.
2. The intelligent home-care health management system of claim 1, wherein: the storage module is also preset with the excess data threshold range of different sign types when the motion state is motion, the excess data threshold range is larger than the data threshold range, when the current motion state of the old is recognized as motion and the comparison result shows that the sign monitoring data exceeds the data threshold range of the corresponding sign type, the comparison module is used for comparing the sign monitoring data with the excess data threshold range, when the comparison result shows that the sign monitoring data belongs to the excess data threshold range, the prompt module sends excess information, and when the comparison result shows that the sign monitoring data exceeds the excess data threshold range, the prompt module sends the prompt information.
3. The intelligent home-care health management system of claim 1, wherein: the recognition module also recognizes the facial expression of the old in the scene video, and when the facial expression is identified to be painful, the prompting module sends alarm information.
4. The intelligent home-care health management system of claim 3, wherein: the storage module is preset with a first monitoring frequency and a second monitoring frequency, and the first monitoring frequency is smaller than the second monitoring frequency;
the monitoring device is controlled to perform monitoring operation according to the first monitoring frequency, and the monitoring device is controlled to perform monitoring operation according to the second monitoring frequency when the facial expression of the old is identified as pain.
5. The intelligent home-care health management system of claim 4, wherein: the storage module is also preset with a time threshold;
the monitoring device is controlled by the control module according to the first monitoring frequency, the monitoring device is controlled by the control module according to the second monitoring frequency, the timing module is used for timing to obtain monitoring duration, the comparison module is further used for comparing the monitoring duration with a time threshold, in the timing process that the monitoring duration is equal to the time threshold in comparison, when the prompt module sends prompt information, the timing module restarts timing to obtain the monitoring duration, if the prompt module does not send the prompt information, after the monitoring duration is equal to the time threshold in comparison, the timing module resets the monitoring duration and stops timing, and the control module controls the monitoring device to perform monitoring operation according to the first monitoring frequency.
6. The intelligent home-care health management system of claim 1, wherein: the storage module is prestored with a motion amount calculation rule; the system also comprises a calculation module used for calculating the uploaded physical sign monitoring data according to the exercise amount calculation rule to obtain real-time exercise amount, and a prompt module used for sending exercise amount prompt information according to the exercise amount.
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