CN117612328A - Human health condition early warning method and system based on intelligent wearing - Google Patents
Human health condition early warning method and system based on intelligent wearing Download PDFInfo
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Abstract
The invention discloses a human health condition early warning system based on intelligent wearing, which comprises intelligent wearing equipment, an environment acquisition module, a personnel acquisition module, other acquisition modules, a data processing module and an information sending module; the intelligent wearable device is used for acquiring human body information, the human body information comprises real-time human body physiological information, real-time human body motion information and real-time human body biological information, the environment acquisition module is used for acquiring environment information, and the personnel acquisition module is used for acquiring personnel information; the data processing module is used for processing the human body information, the environment information and the personnel information to obtain first early warning information, second human body warning information, third human body warning information and fourth human body warning information. The invention can monitor and pre-warn the human health condition more comprehensively. Thereby better ensuring personnel safety.
Description
Technical Field
The invention relates to the technical field of intelligent wearing, in particular to a human health condition early warning method and system based on intelligent wearing.
Background
The intelligent wearing is also called wearable equipment, is a perfect combination of modern mobile communication technology and artificial intelligence technology, and is a necessary trend of people to digital and intelligent development. The mobile terminal device can be conveniently connected with mobile terminal devices such as mobile phones and tablet computers, has the functions of data interaction, touch control, wearing identification, biological identification and the like, can integrate the functions of time, position, message reminding and the like, can better record the physical condition and life track of people, and ensures that the life of people is more intelligent, convenient and healthy;
the human body state is monitored through intelligent wearing, whether the human body state is abnormal or not is timely found, and the human body health condition early warning method and system can be used in the human body health condition monitoring early warning process through intelligent wearing;
the existing human health condition early-warning method and system are single in monitoring early-warning type, cannot meet actual use requirements, and bring a certain influence to the use of the human health condition early-warning method and system, so that the human health condition early-warning method and system based on intelligent wearing are provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a human health condition early warning system based on intelligent wearing, which comprises intelligent wearing equipment, an environment acquisition module, a personnel acquisition module, other acquisition modules, a data processing module and an information sending module;
the intelligent wearable device is used for acquiring human body information, the human body information comprises real-time human body physiological information, real-time human body motion information and real-time human body biological information, the environment acquisition module is used for acquiring environment information, and the personnel acquisition module is used for acquiring personnel information;
the data processing module is used for processing the human body information, the environment information and the personnel information to obtain first early warning information, second human body warning information, third human body warning information and fourth human body warning information;
the information sending module is used for sending the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information to a preset receiving terminal after the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information are generated.
Further, the specific processing procedure of the first early warning information is as follows: extracting the acquired human body information, extracting real-time human body physiological information from the human body information, wherein the real-time human body physiological information comprises real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen, and extracting real-time human body movement information from the human body information, wherein the real-time human body movement information is human body real-time speed information;
a standard state database is preset, standard human body physiological information of a wearer in each speed state is recorded in the standard state database, real-time human body speed information is imported into the standard state database, standard human body physiological information of a corresponding speed is obtained, and when the standard human body physiological information and the real-time human body physiological information of the corresponding speed are processed abnormally, first human body warning information is generated;
and extracting real-time human body biological information from the human body information, wherein the real-time human body biological information is real-time brain wave information, analyzing the real-time brain wave information, and generating first human body warning information when the real-time brain wave information is abnormal.
Further, the process of processing the standard human physiological information and the real-time human physiological information at the corresponding speed to obtain the human evaluation parameter and the abnormal judgment of the human evaluation parameter is as follows: extracting the collected standard human physiological information with corresponding speed, wherein the standard human physiological information with corresponding speed comprises standard heart rate, standard blood pressure, standard body temperature and standard blood oxygen;
marking the real-time heart rate as K1, the real-time blood pressure as P1, the real-time body temperature as Q1 and the real-time blood oxygen as Y1;
marking a standard heart rate as K2, a standard blood pressure as P2, a standard body temperature as Q2 and a standard blood oxygen as Y2;
the difference between K1 and K2 is calculated in sequence to obtain heart rate evaluation difference Kk, the difference between P1 and P2 is obtained to obtain blood pressure difference Pp, the difference between Q1 and Q2 is obtained to obtain body temperature difference Qq, and the difference between Y1 and Y2 is obtained to obtain blood oxygen difference Yy;
the heart rate evaluation difference Kk, the blood pressure difference Pp and the body temperature difference Qq form a human body evaluation parameter together with the body temperature difference Qq;
when any one of the heart rate assessment difference Kk, the blood pressure difference Pp, the body temperature difference Qq and the body temperature difference Qq exceeds a preset range, the abnormality of the human body assessment parameter is indicated.
Further, the specific processing procedure of the second human body warning information is as follows: the acquired personnel information is extracted, the personnel information comprises personnel height information, personnel weight information, personnel age information and personnel gender information, then real-time human motion information is acquired within a preset time length to acquire a plurality of real-time human motion information, the preset time length is marked as G, the number of the plurality of real-time human motion information which is larger than a preset speed is extracted to acquire abnormal times, the abnormal times are marked as H, the preset time length G and the abnormal times H are processed to acquire real-time evaluation parameters, the personnel height information, the personnel weight information, the personnel age information and the personnel gender information are imported into a preset database to search out the standard evaluation parameters of the personnel closest to the personnel, then the real-time evaluation parameters and the standard evaluation parameters are processed to acquire final evaluation parameters, and when the final evaluation parameter book is abnormal, second human warning information is generated.
The process of processing the preset duration G and the abnormal times H to obtain the real-time evaluation parameters is as follows: calculating the ratio of the abnormal times H to the preset time length G, namely acquiring real-time evaluation parameters;
the specific process of processing the real-time evaluation parameters and the standard evaluation parameters to obtain the final evaluation parameters is as follows: calculating the difference value between the real-time evaluation parameter and the standard evaluation parameter, namely obtaining the final evaluation parameter;
and when the final evaluation parameter is within the preset value range, the final evaluation parameter is normal, and when the final evaluation parameter exceeds the preset value range, the final evaluation parameter is abnormal.
Further, the specific processing procedure of the third human body warning information is as follows: each preset interval is used for collecting real-time human physiological information once, m times are continuously collected, m is more than or equal to 5, then, real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen are extracted from m pieces of real-time human physiological information, m pieces of real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen are processed to obtain a heart rate evaluation line graph, a blood pressure evaluation line graph, a body temperature evaluation line graph and a blood oxygen evaluation line graph, trend analysis is carried out on the heart rate evaluation line graph, the blood pressure evaluation line graph, the body temperature evaluation line graph and the blood oxygen evaluation line graph respectively, and when the trend of any line graph is an ascending trend or a descending trend, third human body warning information is generated.
Further, the heart rate evaluation line graph, the blood pressure evaluation line graph, the body temperature evaluation line graph and the blood oxygen evaluation line graph are obtained as follows: establishing a plane rectangular coordinate system E1 by taking a preset time length as a y axis and taking the value of the real-time heart rate as an x axis, marking m real-time heart rates on the plane rectangular coordinate system E1, and connecting the m real-time heart rates according to the acquisition time sequence to obtain a heart rate evaluation line graph;
establishing a plane rectangular coordinate system E2 by taking a preset time length as a y axis and taking the value of the real-time blood pressure as an x axis, marking m real-time blood pressures on the plane rectangular coordinate system E2, and connecting the m real-time blood pressures according to the acquisition time sequence to obtain a blood pressure evaluation line graph;
taking a preset time length as a y axis and a real-time body temperature value as an x axis, establishing a plane rectangular coordinate system E3, marking m real-time body temperatures on the plane rectangular coordinate system E3, and connecting the m real-time body temperatures according to an acquisition time sequence to obtain a body temperature evaluation line graph;
and establishing a plane rectangular coordinate system E4 by taking the preset time length as a y axis and the value of the real-time blood oxygen as an x axis, marking m real-time blood oxygen on the plane rectangular coordinate system E3, and connecting the m real-time blood oxygen according to the acquisition time sequence to obtain a blood oxygen evaluation line graph.
Further, the specific processing procedure of the fourth human body warning information is as follows: extracting collected environment information, wherein the environment information is the environment information of the position of the person, and the environment information comprises environment temperature information, environment humidity and environment brightness information;
when the environmental humidity information and the environmental humidity information are simultaneously larger than a preset value, fourth human body warning information is generated;
and when the ambient temperature information is larger than the preset value and exceeds the preset time, generating fourth human body warning information, and when the ambient brightness information is larger than the preset value and exceeds the preset time, generating fourth human body warning information.
An intelligent wearing-based human health condition early warning method, comprising the following steps:
step one: the intelligent wearing equipment worn by the user is used for collecting human body information and collecting personnel information;
step two: after the user position stays for longer than a preset time, the current position of the user acquires environmental information;
step three: processing the human body information, the environment information, the personnel information and other related information to obtain first early warning information, second human body warning information, third human body warning information and fourth human body warning information;
step four: the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information are generated and then sent to a preset receiving terminal.
The beneficial effects of the invention are as follows:
the first early warning information, the second human warning information, the third human warning information and the fourth human warning information are obtained by processing the human body information, the environment information and the personnel information, the comprehensive early warning of the human health condition is achieved, the real-time human physiological information, the real-time human motion information and the real-time human biological information in the human motion process are processed, the first human early warning information is timely generated when the abnormality is found, the abnormality existing in the personnel motion process can be timely found, the safety of the personnel is better guaranteed, the generated second human early warning information is analyzed and processed for the times of abnormal conditions in the personnel information and the motion process, the accurate and precise early warning of the human body state is achieved, the third human early warning information generated by regularly analyzing the real-time human biological information is found, the abnormality existing in the human body condition can be timely found, the physical safety of the personnel is better protected, the fourth human early warning information is timely generated when the abnormality is found, the personnel is prompted to be far away from the current environment, the discomfort caused by the personnel in the environment is reduced, the intelligent human body system is achieved, and the comprehensive human body safety early warning is better achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
Embodiments of the technical scheme of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and thus are merely examples, and are not intended to limit the scope of the present invention.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.
As shown in fig. 1, the human health condition early warning system based on intelligent wearing comprises intelligent wearing equipment, an environment acquisition module, a personnel acquisition module, other acquisition modules, a data processing module and an information sending module;
the intelligent wearable device is used for acquiring human body information, the human body information comprises real-time human body physiological information, real-time human body motion information and real-time human body biological information, the environment acquisition module is used for acquiring environment information, and the personnel acquisition module is used for acquiring personnel information;
the data processing module is used for processing the human body information, the environment information and the personnel information to obtain first early warning information, second human body warning information, third human body warning information and fourth human body warning information;
the information sending module is used for sending the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information to a preset receiving terminal after the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information are generated.
According to the invention, the first early warning information, the second human warning information, the third human warning information and the fourth human warning information are obtained by processing the human body information, the environment information and the personnel information, so that the comprehensive early warning of the human health condition is realized, the real-time human physiological information, the real-time human movement information and the real-time human biological information in the human movement process are processed, the first human early warning information is timely generated when the abnormality is found, the abnormality existing in the personnel movement process can be timely found, the safety of the protected personnel is better ensured, the generated second human early warning information is analyzed and processed for the occurrence of the abnormal condition in the personnel information and the movement process, the accurate and precise early warning of the human body state is realized, the third human early warning information generated by regularly analyzing the real-time human biological information is found, the abnormality existing in the human health condition can be timely found, the physical safety of the personnel is better protected, the fourth human early warning information is timely generated when the abnormality is found, the personnel is far away from the current environment, the personnel is reduced, the discomfort caused by the environment of the personnel is reduced, the intelligent human body safety of the intelligent early warning system is realized, and the comprehensive human safety of the user is better realized.
The specific processing process of the first early warning information is as follows: extracting the acquired human body information, extracting real-time human body physiological information from the human body information, wherein the real-time human body physiological information comprises real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen, and extracting real-time human body movement information from the human body information, wherein the real-time human body movement information is human body real-time speed information;
the method comprises the steps that a standard state database is preset, standard human body physiological information of a wearer in each speed state is recorded in the standard state database, real-time human body speed information is imported into the standard state database, standard human body physiological information of a corresponding speed is obtained, and when the standard human body physiological information and the real-time human body physiological information of the corresponding speed are processed abnormally, first human body warning information is generated, wherein the specific content of the first human body warning information is as follows: the body in the current movement state is abnormal, the current movement needs to be stopped, and the body condition is detected;
and then extracting real-time human body biological information from the human body information, wherein the real-time human body biological information is real-time brain wave information, analyzing the real-time brain wave information, and generating first human body warning information when the real-time brain wave information is abnormal, wherein the specific content of the first human body warning information is as follows: for the abnormal emotional condition of the current personnel, emotion restoration is needed.
The standard human physiological information and the real-time human physiological information of the corresponding speed are processed to obtain human evaluation parameters and the abnormal judgment process of the human evaluation parameters is as follows: extracting the collected standard human physiological information with corresponding speed, wherein the standard human physiological information with corresponding speed comprises standard heart rate, standard blood pressure, standard body temperature and standard blood oxygen;
marking the real-time heart rate as K1, the real-time blood pressure as P1, the real-time body temperature as Q1 and the real-time blood oxygen as Y1;
marking a standard heart rate as K2, a standard blood pressure as P2, a standard body temperature as Q2 and a standard blood oxygen as Y2;
the difference between K1 and K2 is calculated in sequence to obtain heart rate evaluation difference Kk, the difference between P1 and P2 is obtained to obtain blood pressure difference Pp, the difference between Q1 and Q2 is obtained to obtain body temperature difference Qq, and the difference between Y1 and Y2 is obtained to obtain blood oxygen difference Yy;
the heart rate evaluation difference Kk, the blood pressure difference Pp and the body temperature difference Qq form a human body evaluation parameter together with the body temperature difference Qq;
when any one of the heart rate assessment difference Kk, the blood pressure difference Pp, the body temperature difference Qq and the body temperature difference Qq exceeds a preset range, the abnormality of human body assessment parameters is indicated;
through the process, more accurate human body evaluation parameters can be obtained, and therefore the accuracy of first human body warning information generation is guaranteed.
The specific processing process of the second human body warning information is as follows: extracting acquired personnel information, wherein the personnel information comprises personnel height information, personnel weight information, personnel age information and personnel gender information, acquiring real-time human motion information in a preset time length to acquire a plurality of real-time human motion information, marking the preset time length as G, extracting the number of the plurality of real-time human motion information which is larger than a preset speed to acquire abnormal times, marking the abnormal times as H, processing the preset time length G and the abnormal times as H to acquire real-time evaluation parameters, importing the personnel height information, the personnel weight information, the personnel age information and the personnel gender information into a preset database to search out the standard evaluation parameters of the personnel closest to the personnel, processing the real-time evaluation parameters and the standard evaluation parameters to acquire final evaluation parameters, and generating second human warning information when the final evaluation parameter book is abnormal, wherein the specific content of the second human warning information is as follows: the body of the current person is abnormal in the current motion state, and the motion intensity needs to be adjusted.
The process of processing the preset duration G and the abnormal times H to obtain the real-time evaluation parameters is as follows: calculating the ratio of the abnormal times H to the preset time length G, namely acquiring real-time evaluation parameters;
the specific process of processing the real-time evaluation parameters and the standard evaluation parameters to obtain the final evaluation parameters is as follows: calculating the difference value between the real-time evaluation parameter and the standard evaluation parameter, namely obtaining the final evaluation parameter;
when the final evaluation parameter is within the preset value range, the final evaluation parameter is normal, and when the final evaluation parameter exceeds the preset value range, the final evaluation parameter is abnormal;
through the process, more accurate final evaluation parameters can be obtained, so that the accuracy of the generation of the second human body warning information is ensured.
The specific processing process of the third human body warning information is as follows: each preset interval is used for collecting real-time human physiological information once, m times are continuously collected, m is more than or equal to 5, then, real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen are extracted from m pieces of real-time human physiological information, m pieces of real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen are processed to obtain a heart rate evaluation line graph, a blood pressure evaluation line graph, a body temperature evaluation line graph and a blood oxygen evaluation line graph, trend analysis is carried out on the heart rate evaluation line graph, the blood pressure evaluation line graph, the body temperature evaluation line graph and the blood oxygen evaluation line graph respectively, when the trend of any line graph is an ascending trend or a descending trend, third human body warning information is generated, and the specific content of the third human body warning information is as follows: the body state of the human body in the period is abnormal, and the human body inspection is needed.
The heart rate evaluation line graph, the blood pressure evaluation line graph, the body temperature evaluation line graph and the blood oxygen evaluation line graph are obtained as follows: establishing a plane rectangular coordinate system E1 by taking a preset time length as a y axis and taking the value of the real-time heart rate as an x axis, marking m real-time heart rates on the plane rectangular coordinate system E1, and connecting the m real-time heart rates according to the acquisition time sequence to obtain a heart rate evaluation line graph;
establishing a plane rectangular coordinate system E2 by taking a preset time length as a y axis and taking the value of the real-time blood pressure as an x axis, marking m real-time blood pressures on the plane rectangular coordinate system E2, and connecting the m real-time blood pressures according to the acquisition time sequence to obtain a blood pressure evaluation line graph;
taking a preset time length as a y axis and a real-time body temperature value as an x axis, establishing a plane rectangular coordinate system E3, marking m real-time body temperatures on the plane rectangular coordinate system E3, and connecting the m real-time body temperatures according to an acquisition time sequence to obtain a body temperature evaluation line graph;
establishing a plane rectangular coordinate system E4 by taking a preset time length as a y axis and taking a real-time blood oxygen value as an x axis, marking m real-time blood oxygen on the plane rectangular coordinate system E3, and connecting the m real-time blood oxygen according to the acquisition time sequence to obtain a blood oxygen evaluation line graph;
through the process, a more accurate heart rate assessment line graph, a blood pressure assessment line graph, a body temperature assessment line graph and a blood oxygen assessment line graph are obtained, so that human body state assessment is more accurately carried out.
The specific processing process of the fourth human body warning information is as follows: extracting collected environment information, wherein the environment information is the environment information of the position of the person, and the environment information comprises environment temperature information, environment humidity and environment brightness information;
when the environmental humidity information and the environmental humidity information are simultaneously larger than a preset value, generating fourth human body warning information, wherein the specific content of the fourth human body warning information is as follows: the current environment temperature and high humidity state needs to be immediately separated from the position;
when the environmental temperature information is larger than the preset value and exceeds the preset time length, generating fourth human body warning information, wherein the specific content of the fourth human body warning information is as follows: when the current environment temperature is abnormal, the environment needs to be immediately separated, and when the environment brightness information is larger than a preset value and exceeds a preset duration, fourth human body warning information is generated, and the specific content of the fourth human body warning information is as follows: the current environment is too bright, which is easy to damage eyes, and needs to leave the environment immediately.
An intelligent wearing-based human health condition early warning method, comprising the following steps:
step one: the intelligent wearing equipment worn by the user is used for collecting human body information and collecting personnel information;
step two: after the user position stays for longer than a preset time, the current position of the user acquires environmental information;
step three: processing the human body information, the environment information, the personnel information and other related information to obtain first early warning information, second human body warning information, third human body warning information and fourth human body warning information;
step four: the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information are generated and then sent to a preset receiving terminal.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.
Claims (9)
1. The human health condition early warning system based on intelligent wearing is characterized by comprising intelligent wearing equipment, an environment acquisition module, a personnel acquisition module, other acquisition modules, a data processing module and an information sending module;
the intelligent wearable device is used for acquiring human body information, the human body information comprises real-time human body physiological information, real-time human body motion information and real-time human body biological information, the environment acquisition module is used for acquiring environment information, and the personnel acquisition module is used for acquiring personnel information;
the data processing module is used for processing the human body information, the environment information and the personnel information to obtain first early warning information, second human body warning information, third human body warning information and fourth human body warning information;
the information sending module is used for sending the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information to a preset receiving terminal after the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information are generated.
2. The intelligent wearable human health condition pre-warning system according to claim 1, wherein: the specific processing process of the first early warning information is as follows: extracting the acquired human body information, extracting real-time human body physiological information from the human body information, wherein the real-time human body physiological information comprises real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen, and extracting real-time human body movement information from the human body information, wherein the real-time human body movement information is human body real-time speed information;
a standard state database is preset, standard human body physiological information of a wearer in each speed state is recorded in the standard state database, real-time human body speed information is imported into the standard state database, standard human body physiological information of a corresponding speed is obtained, and when the standard human body physiological information and the real-time human body physiological information of the corresponding speed are processed abnormally, first human body warning information is generated;
and extracting real-time human body biological information from the human body information, wherein the real-time human body biological information is real-time brain wave information, analyzing the real-time brain wave information, and generating first human body warning information when the real-time brain wave information is abnormal.
3. The intelligent wearable human health condition pre-warning system according to claim 2, wherein: the standard human physiological information and the real-time human physiological information of the corresponding speed are processed to obtain human evaluation parameters and the abnormal judgment process of the human evaluation parameters is as follows: extracting the collected standard human physiological information with corresponding speed, wherein the standard human physiological information with corresponding speed comprises standard heart rate, standard blood pressure, standard body temperature and standard blood oxygen;
marking the real-time heart rate as K1, the real-time blood pressure as P1, the real-time body temperature as Q1 and the real-time blood oxygen as Y1;
marking a standard heart rate as K2, a standard blood pressure as P2, a standard body temperature as Q2 and a standard blood oxygen as Y2;
the difference between K1 and K2 is calculated in sequence to obtain heart rate evaluation difference Kk, the difference between P1 and P2 is obtained to obtain blood pressure difference Pp, the difference between Q1 and Q2 is obtained to obtain body temperature difference Qq, and the difference between Y1 and Y2 is obtained to obtain blood oxygen difference Yy;
the heart rate evaluation difference Kk, the blood pressure difference Pp and the body temperature difference Qq form a human body evaluation parameter together with the body temperature difference Qq;
when any one of the heart rate assessment difference Kk, the blood pressure difference Pp, the body temperature difference Qq and the body temperature difference Qq exceeds a preset range, the abnormality of the human body assessment parameter is indicated.
4. The intelligent wearable human health condition pre-warning system according to claim 1, wherein: the specific processing process of the second human body warning information is as follows: the acquired personnel information is extracted, the personnel information comprises personnel height information, personnel weight information, personnel age information and personnel gender information, then real-time human motion information is acquired within a preset time length to acquire a plurality of real-time human motion information, the preset time length is marked as G, the number of the plurality of real-time human motion information which is larger than a preset speed is extracted to acquire abnormal times, the abnormal times are marked as H, the preset time length G and the abnormal times H are processed to acquire real-time evaluation parameters, the personnel height information, the personnel weight information, the personnel age information and the personnel gender information are imported into a preset database to search out the standard evaluation parameters of the personnel closest to the personnel, then the real-time evaluation parameters and the standard evaluation parameters are processed to acquire final evaluation parameters, and when the final evaluation parameter book is abnormal, second human warning information is generated.
5. The intelligent wearable human health condition pre-warning system according to claim 4, wherein: the process of processing the preset duration G and the abnormal times H to obtain the real-time evaluation parameters is as follows: calculating the ratio of the abnormal times H to the preset time length G, namely acquiring real-time evaluation parameters;
the specific process of processing the real-time evaluation parameters and the standard evaluation parameters to obtain the final evaluation parameters is as follows: calculating the difference value between the real-time evaluation parameter and the standard evaluation parameter, namely obtaining the final evaluation parameter;
and when the final evaluation parameter is within the preset value range, the final evaluation parameter is normal, and when the final evaluation parameter exceeds the preset value range, the final evaluation parameter is abnormal.
6. The intelligent wearable human health condition pre-warning system according to claim 1, wherein: the specific processing process of the third human body warning information is as follows: each preset interval is used for collecting real-time human physiological information once, m times are continuously collected, m is more than or equal to 5, then, real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen are extracted from m pieces of real-time human physiological information, m pieces of real-time heart rate, real-time blood pressure, real-time body temperature and real-time blood oxygen are processed to obtain a heart rate evaluation line graph, a blood pressure evaluation line graph, a body temperature evaluation line graph and a blood oxygen evaluation line graph, trend analysis is carried out on the heart rate evaluation line graph, the blood pressure evaluation line graph, the body temperature evaluation line graph and the blood oxygen evaluation line graph respectively, and when the trend of any line graph is an ascending trend or a descending trend, third human body warning information is generated.
7. The intelligent wearable human health condition pre-warning system of claim 6, wherein: the heart rate evaluation line graph, the blood pressure evaluation line graph, the body temperature evaluation line graph and the blood oxygen evaluation line graph are obtained as follows: establishing a plane rectangular coordinate system E1 by taking a preset time length as a y axis and taking the value of the real-time heart rate as an x axis, marking m real-time heart rates on the plane rectangular coordinate system E1, and connecting the m real-time heart rates according to the acquisition time sequence to obtain a heart rate evaluation line graph;
establishing a plane rectangular coordinate system E2 by taking a preset time length as a y axis and taking the value of the real-time blood pressure as an x axis, marking m real-time blood pressures on the plane rectangular coordinate system E2, and connecting the m real-time blood pressures according to the acquisition time sequence to obtain a blood pressure evaluation line graph;
taking a preset time length as a y axis and a real-time body temperature value as an x axis, establishing a plane rectangular coordinate system E3, marking m real-time body temperatures on the plane rectangular coordinate system E3, and connecting the m real-time body temperatures according to an acquisition time sequence to obtain a body temperature evaluation line graph;
and establishing a plane rectangular coordinate system E4 by taking the preset time length as a y axis and the value of the real-time blood oxygen as an x axis, marking m real-time blood oxygen on the plane rectangular coordinate system E3, and connecting the m real-time blood oxygen according to the acquisition time sequence to obtain a blood oxygen evaluation line graph.
8. The intelligent wearable human health condition pre-warning system according to claim 1, wherein: the specific processing process of the fourth human body warning information is as follows: extracting collected environment information, wherein the environment information is the environment information of the position of the person, and the environment information comprises environment temperature information, environment humidity and environment brightness information;
when the environmental humidity information and the environmental humidity information are simultaneously larger than a preset value, fourth human body warning information is generated;
and when the ambient temperature information is larger than the preset value and exceeds the preset time, generating fourth human body warning information, and when the ambient brightness information is larger than the preset value and exceeds the preset time, generating fourth human body warning information.
9. A human health condition pre-warning method based on intelligent wearing, the method being based on the pre-warning system of any one of claims 1-8, the method comprising the steps of:
step one: the intelligent wearing equipment worn by the user is used for collecting human body information and collecting personnel information;
step two: after the user position stays for longer than a preset time, the current position of the user acquires environmental information;
step three: processing the human body information, the environment information, the personnel information and other related information to obtain first early warning information, second human body warning information, third human body warning information and fourth human body warning information;
step four: the first early warning information, the second human body warning information, the third human body warning information and the fourth human body warning information are generated and then sent to a preset receiving terminal.
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