CN210749182U - Intelligent monitoring system based on meteorological monitoring - Google Patents
Intelligent monitoring system based on meteorological monitoring Download PDFInfo
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- CN210749182U CN210749182U CN201921000692.4U CN201921000692U CN210749182U CN 210749182 U CN210749182 U CN 210749182U CN 201921000692 U CN201921000692 U CN 201921000692U CN 210749182 U CN210749182 U CN 210749182U
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Abstract
The utility model relates to an intelligent monitoring system based on meteorological monitoring, which comprises a health data acquisition module, a meteorological data acquisition module, a data storage, a comparator, a controller, a trigger, a server and a terminal, wherein two input ends of the comparator are respectively connected with the health data acquisition module and the data storage and are used for judging whether a user possibly breaks out; the controller is respectively connected with the health data acquisition module and the meteorological data acquisition module; the trigger is respectively connected with the controller and the output end of the comparator and is used for triggering the controller to send data to the server; the server is provided with a database, and a mapping relation table is arranged in the database and used for inquiring the mapping relation table according to the meteorological data and the body data to obtain the possible sudden diseases of the user; the terminal is in communication connection with the server. Has the advantages that: the monitoring system can accurately confirm whether sudden diseases exist or not and can send sudden disease signals, so that family members or a medical center can know the sudden diseases in time and provide timely treatment.
Description
Technical Field
The utility model relates to a guardianship field, in particular to intelligent monitoring system based on meteorological monitoring.
Background
In recent years, with the rapid development of industry, the living environment of human beings is increasingly worsened, climate change and climate abnormality are more frequent, and the atmospheric environment has deeper and wider influence on the health of human beings. Adverse weather factors, particularly certain special weather or extreme weather, often reduce the immunity of the human body and stimulate the occurrence of certain diseases, even leading to the death of certain sensitive people. Weather is closely related to human health, and many diseases are influenced by weather to a great extent, so that a user needs to know the relation between the diseases and the weather, take preventive measures according to weather conditions in time, and reduce the occurrence of the diseases.
Moreover, our country is in a severe aging stage, the proportion of the old people is increasing, the pressure for nursing the old people is increasing, most of the old people adopt a solitary old nursing mode due to the work of children, and the physical condition and the safety condition are worried. For the elderly living alone, the elderly are very dangerous if the elderly cannot be timely treated once an accident occurs. Therefore, as the human society attaches importance to the problem of old age, monitoring systems related to the elderly are also increasing.
For example, the invention patent with the application number of CN201711066488.8 (application publication number of CN105042140A) discloses an old people family monitoring system and a fall detection method based on the internet of things, the system includes an indoor information acquisition unit for acquiring indoor environment conditions and activity conditions of old people, a human body information acquisition unit for acquiring body conditions of old people, a cloud server for processing acquired information and generating control instructions, an execution unit for executing corresponding indoor adjustment after receiving the control instructions, and a mobile terminal for receiving the indoor conditions and the human body conditions. The system not only can comprehensively detect the current physical condition information and indoor information of the old, but also can perform remote notification, environment adjustment and short-range alarm, thereby well monitoring the safety of the old who is at home alone. However, the monitoring system can only monitor the old at home, but cannot effectively monitor the old who goes out, and the physical condition of the old is susceptible to sudden diseases caused by weather, so that a system capable of monitoring the old in real time is required to be developed.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that to prior art's current situation, provide an accuracy rate height and ability real-time supervision's intelligent monitor system based on meteorological monitoring.
The utility model provides a technical scheme that above-mentioned technical problem adopted does: an intelligent monitoring system based on meteorological monitoring for monitoring the users who are easy to suffer from diseases, which comprises
The health data acquisition module is used for acquiring real-time physical condition data of a user;
it is characterized by also comprising:
the meteorological data acquisition module is used for acquiring the current real-time meteorological data of the position where the user is located;
a data storage for storing physical condition data under normal conditions;
the first input end of the comparator is connected with the health data acquisition module, and the second input end of the comparator is connected with the data storage device and used for comparing the acquired real-time physical condition data of the user with the stored normal physical condition data of the user and judging whether the user possibly breaks out the disease;
the controller is respectively connected with the health data acquisition module and the meteorological data acquisition module;
the trigger is respectively connected with the output ends of the controller and the comparator and used for triggering the controller to send the real-time body condition data and the real-time meteorological data acquired by the health data acquisition module and the meteorological data acquisition module to the server according to the output result of the comparator;
the system comprises a server, a database and a mapping relation table, wherein the database is provided with the mapping relation table, and the mapping relation table stores the mapping relation between possible sudden diseases of a user caused by meteorological data combined with physical condition data of the user; the system comprises a mapping relation table, a data acquisition module, a data processing module and a data processing module, wherein the mapping relation table is used for inquiring the mapping relation table according to real-time physical condition data and current real-time meteorological data of a user to acquire possible sudden diseases of the user;
and the terminal is in communication connection with the server and is used for receiving diseases which can be burst by the user.
In this embodiment, the meteorological data includes at least temperature, humidity, and barometric pressure.
Specifically, the diseases that the user may have suddenly include one or any combination of the following: cardiovascular disease, cerebrovascular disease, respiratory disease, and nervous system disease.
Specifically, the terminal is one or more of a user, a user contact person and a mobile terminal of a medical center.
As an improvement, the health data acquisition module is a first sensor, and the first sensor is arranged in the user wearing equipment.
Preferably, the first sensor is a body temperature sensor, a blood pressure sensor or a heart rate sensor.
Further, the meteorological data acquisition module is a second sensor.
Preferably, the second sensor is a temperature sensor, a humidity sensor and an air pressure sensor, and is used for acquiring the temperature, the humidity and the air pressure of the position where the user is located.
Preferably, the user is an elderly person.
Compared with the prior art, the utility model has the advantages of: the intelligent monitoring system judges whether the real-time physical condition of the user is abnormal or not by using the comparator, so that whether the user possibly breaks out is judged according to the comparison result, and the disease which the user possibly breaks out is analyzed and obtained according to the server and is informed. Therefore, the system can monitor the condition of the user in real time, upload abnormal conditions in time and confirm possible sudden diseases of the user more quickly through the mapping relation table on the server, has higher accuracy, and enables a medical center to know the conditions more quickly and provide timely treatment.
Drawings
Fig. 1 is a block diagram of an intelligent monitoring system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following embodiments.
As shown in fig. 1, an intelligent monitoring system based on meteorological monitoring is used for monitoring users susceptible to diseases, and is especially suitable for the elderly, especially the elderly with empty nesters, solitary old people and the sick old, including
The health data acquisition module is used for acquiring real-time physical condition data of a user; in this embodiment, the health data acquisition module is a first sensor, the first sensor is arranged in the user wearing device, specifically, the first sensor is a body temperature sensor, a blood pressure sensor and a heart rate sensor, the first sensor acquires real-time body temperature, blood pressure and heart rate of the user, and the health data acquisition module also comprises sensors for acquiring other health elements of the user;
the meteorological data acquisition module is used for acquiring the current real-time meteorological data of the position where the user is located; in this embodiment, the meteorological data acquisition module is a second sensor; specifically, the second sensor is a temperature sensor, a humidity sensor and an air pressure sensor, and is used for acquiring the temperature, the humidity and the air pressure of the current position of the user; sensors for acquiring other meteorological factors are also included for acquiring other meteorological factors currently in real time, such as: collecting rainfall, air quality and the like;
a data storage for storing physical condition data under normal conditions; for example: storing the maximum value and the minimum value of the body temperature, the blood pressure and the heart rate of the user under the normal condition;
the first input end of the comparator is connected with the health data acquisition module, and the second input end of the comparator is connected with the data storage device and used for comparing the acquired real-time physical condition data with the stored normal physical condition data and judging whether the user possibly breaks out the disease;
the controller is respectively connected with the health data acquisition module and the meteorological data acquisition module;
the trigger is respectively connected with the output ends of the controller and the comparator and used for triggering the controller to send the real-time body condition data and the real-time meteorological data acquired by the health data acquisition module and the meteorological data acquisition module to the server according to the output result of the comparator;
the system comprises a server, a database and a mapping relation table, wherein the database is provided with the mapping relation table, and the mapping relation table stores the mapping relation between possible sudden diseases of a user caused by meteorological data combined with physical condition data of the user; the system comprises a mapping relation table, a data acquisition module, a data processing module and a data processing module, wherein the mapping relation table is used for inquiring the mapping relation table according to real-time physical condition data and current real-time meteorological data of a user to acquire possible sudden diseases of the user; in this embodiment, the diseases that may occur suddenly to the user include cardiovascular diseases, cerebrovascular diseases, respiratory diseases, nervous system diseases, and other diseases that are susceptible to weather;
and the terminal is in communication connection with the server and is used for receiving diseases which can be burst by the user. In this embodiment, the terminal is one or more of a user, a user contact, and a mobile terminal of a medical center.
For example: under normal conditions, the armpit temperature of a human body is 36.5 ℃ (the range is 36.0 ℃ -37.0 ℃), the normal range of the body temperature is 36.0 ℃ -37.0 ℃ is stored in the data storage, whether the acquired real-time body temperature of the user is within the normal value or not is judged through the comparator, wherein two comparators can be used, one comparator is used for comparing the acquired real-time body temperature of the user with the minimum value of the body temperature under normal conditions, the other comparator is used for comparing the acquired real-time body temperature of the user with the maximum value of the body temperature under normal conditions, the output results of the two comparators are both 1 (namely the real-time body temperature of the user is greater than the maximum value and the minimum value of the body temperature under normal conditions) if the acquired real-time body temperature of the user is 38 ℃, and therefore, the abnormal body temperature of the user can be.
Under normal conditions, the body temperature, the blood pressure and the heart rate of a user are all in a normal range, when one or more of the real-time body temperature, the blood pressure or the heart rate of the user is collected to exceed the normal range, the comparator outputs an abnormal feedback signal to the trigger, the trigger triggers the controller to send the real-time body condition data and the real-time meteorological data collected by the health data collection module and the meteorological data collection module to the server, a mapping relation table is arranged in a database of the server, and the mapping relation table is inquired according to the real-time body condition data and the current real-time meteorological data of the user to obtain possible sudden diseases of the user.
The mapping relation table stored in the database is obtained by analyzing the health files of the user in advance, the influence of each meteorological factor is different for different diseases, for example, the diseases which can be influenced by sudden change caused by overhigh or overlow temperature include cardiovascular and cerebrovascular diseases such as hypertension and heart disease, and for example, diseases such as rheumatism and nephropathy can be influenced by overhigh humidity. And each sudden disease is also greatly related to the physical condition, for example, users suffering from rheumatism and heart disease simultaneously can influence the meteorological conditions of the diseases of the users including overhigh humidity, too cold weather, sudden temperature change and the like, but if the users take protective measures in time when the humidity is overhigh, the too cold weather and the temperature change, the sudden diseases are not necessarily caused, so that the judgment of the sudden diseases is needed to be carried out by combining the meteorological factors and the physical condition, and for the individual difference of the influences of various meteorological factors on the diseases of different patients, the meteorological factor influence threshold value customized by each user can be automatically set after the analysis and the processing by adopting the related technologies such as deep learning and the like, and the relation between the possible sudden diseases of each user and the meteorological data and the physical condition is analyzed, thereby providing a customized meteorological service for each user. The method comprises the steps of carrying out independent analysis according to health record information of each user, carrying out threshold judgment aiming at meteorological factors such as humidity, temperature and air pressure and physical conditions such as body temperature, blood pressure and heart rate, obtaining different thresholds of the meteorological factors such as humidity, temperature and air pressure and the physical conditions such as body temperature, blood pressure and heart rate, calculating the product between each factor and the threshold corresponding to the factor, accumulating all the products, obtaining the final body score of the user, obtaining possible sudden diseases according to the body score, and taking the relationship between the physical conditions of the user, the meteorological data and the body score as a mapping relation table stored in a database.
The server comprises a multiplier, an adder and a comparator, the multiplier is used for multiplying the real-time physical condition data and the current real-time meteorological data by the threshold values of all parameters, the adder accumulates the real-time physical condition data and the current real-time meteorological data to obtain the final body score of the user, and the body score of the user is compared with the score corresponding to each disease according to the comparator to obtain the possible sudden diseases.
This intelligent monitoring system is through contrasting whether the real-time health data of gathering user has the abnormality, judge the possibility that the user takes place the disease, and obtain the possible proruption disease of user according to the server analysis, send the real-time supervision result, and this monitoring system carries out the disease prediction to the mapping relation between the possible proruption disease of user and meteorological data and the health data, therefore the disease rate that this monitoring system judged is high, can make things convenient for the medical center to know the condition more soon and provide timely treatment, the possibility of accident has been reduced, and be particularly suitable for guarding the user who is liable to the disease, especially to solitary old person, can effectively guard, in time provide medical treatment accuracy.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, a plurality of improvements and decorations can be made without departing from the technical principle of the present invention, and these improvements and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. An intelligent monitoring system based on meteorological monitoring for monitoring the users who are easy to suffer from diseases, which comprises
The health data acquisition module is used for acquiring real-time physical condition data of a user;
it is characterized by also comprising:
the meteorological data acquisition module is used for acquiring the current real-time meteorological data of the position where the user is located;
a data storage for storing physical condition data under normal conditions;
the first input end of the comparator is connected with the health data acquisition module, and the second input end of the comparator is connected with the data storage device and used for comparing the acquired real-time physical condition data of the user with the stored normal physical condition data of the user and judging whether the user possibly breaks out the disease;
the controller is respectively connected with the health data acquisition module and the meteorological data acquisition module;
the trigger is respectively connected with the output ends of the controller and the comparator and used for triggering the controller to send the real-time body condition data and the real-time meteorological data acquired by the health data acquisition module and the meteorological data acquisition module to the server according to the output result of the comparator;
the system comprises a server, a database and a mapping relation table, wherein the database is provided with the mapping relation table, and the mapping relation table stores the mapping relation between possible sudden diseases of a user caused by meteorological data combined with physical condition data of the user; the system comprises a mapping relation table, a data acquisition module, a data processing module and a data processing module, wherein the mapping relation table is used for inquiring the mapping relation table according to real-time physical condition data and current real-time meteorological data of a user to acquire possible sudden diseases of the user;
and the terminal is in communication connection with the server and is used for receiving diseases which can be burst by the user.
2. The intelligent monitoring system of claim 1, wherein: the meteorological data includes at least temperature, humidity, and barometric pressure.
3. The intelligent monitoring system of claim 1, wherein: the diseases which the user may burst include one or any combination of the following: cardiovascular disease, cerebrovascular disease, respiratory disease, and nervous system disease.
4. The intelligent monitoring system of claim 1, wherein: the terminal is one or more of a user, a user contact person and a mobile terminal of a medical center.
5. The intelligent monitoring system of claim 1, wherein: the health data acquisition module is a first sensor, and the first sensor is arranged in the user wearing equipment.
6. The intelligent monitoring system of claim 5, wherein: the first sensor is a body temperature sensor, a blood pressure sensor and a heart rate sensor.
7. The intelligent monitoring system of claim 1, wherein: the meteorological data acquisition module is a second sensor.
8. The intelligent monitoring system of claim 7, wherein: the second sensor is a temperature sensor, a humidity sensor and an air pressure sensor and is used for collecting the temperature, the humidity and the air pressure of the position where the user is located.
9. The intelligent monitoring system according to any one of claims 1-8, wherein: the user is an elderly person.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201921000692.4U CN210749182U (en) | 2019-06-28 | 2019-06-28 | Intelligent monitoring system based on meteorological monitoring |
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| CN201921000692.4U CN210749182U (en) | 2019-06-28 | 2019-06-28 | Intelligent monitoring system based on meteorological monitoring |
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| CN210749182U true CN210749182U (en) | 2020-06-16 |
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| CN201921000692.4U Active CN210749182U (en) | 2019-06-28 | 2019-06-28 | Intelligent monitoring system based on meteorological monitoring |
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