CN111063450A - Epidemic suspected person screening method and system based on wearable body temperature sensor - Google Patents

Epidemic suspected person screening method and system based on wearable body temperature sensor Download PDF

Info

Publication number
CN111063450A
CN111063450A CN202010096269.XA CN202010096269A CN111063450A CN 111063450 A CN111063450 A CN 111063450A CN 202010096269 A CN202010096269 A CN 202010096269A CN 111063450 A CN111063450 A CN 111063450A
Authority
CN
China
Prior art keywords
body temperature
suspected
temperature data
person
individual
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010096269.XA
Other languages
Chinese (zh)
Inventor
李冠华
颜丹
张哲�
董青龙
张学记
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Refresh Intelligent Technology Co ltd
Original Assignee
Shenzhen Refresh Intelligent Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Refresh Intelligent Technology Co ltd filed Critical Shenzhen Refresh Intelligent Technology Co ltd
Priority to CN202010096269.XA priority Critical patent/CN111063450A/en
Publication of CN111063450A publication Critical patent/CN111063450A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G01K13/20—Clinical contact thermometers for use with humans or animals
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

The invention relates to an epidemic suspected person screening method based on a wearable body temperature sensor, which comprises the following steps: A. measuring the body temperature data of an individual through the wearable body temperature sensor according to a set time interval, and acquiring the body temperature data and the position data of the individual; B. analyzing and judging whether the individual body temperature data is consistent with the body temperature data of the epidemic situation one by one, judging that the individual body temperature data is suspected to be a person P1 when the individual body temperature data is consistent with the body temperature data of the epidemic situation, sending danger prompting information, judging that the individual body temperature data is a temporary normal person when the individual body temperature data is not consistent with the body temperature data of the epidemic situation, and continuing the next round of. The wearable body temperature sensor is used for acquiring the body temperature data of the patient, the method does not need to frequently carry out contact type body temperature detection on the patient, can carry out body temperature monitoring on a large number of patients in real time, improves the efficiency, and reduces the risk of infection when medical staff detect the body temperature of the patient; the patient and the body temperature sensor correspond to each other one by one, so that the risk of cross infection caused by repeated use of the traditional body temperature sensor is avoided, and the work of sterilizing the body temperature sensor is avoided.

Description

Epidemic suspected person screening method and system based on wearable body temperature sensor
Technical Field
The invention relates to the technical field of body temperature monitoring, in particular to a body temperature centralized monitoring system based on a wearable body temperature sensor.
Background
During virus abuse, if the patient or suspected patient can be subjected to non-contact and continuous body temperature monitoring, the risk of infection of medical staff or nursing relatives is greatly reduced. The southern mountain academicians pointed out: the fever is still the typical symptom of the novel coronavirus infection, the monitoring of suspected patients still depends on the detection of indexes such as artificial body temperature and the like, whether epidemic suspected persons can be found and searched in time is the key to realize early discovery, early isolation and early treatment, and the method becomes an urgent priority of the society.
Disclosure of Invention
The invention aims to solve the technical problem of establishing an epidemic situation suspected person screening method based on a wearable body temperature sensor, carrying out non-contact continuous body temperature monitoring on a large number of normal persons, infectious disease patients or suspected patients, enabling medical staff to master body temperature data of the patients in real time through the system, finding body temperature symptoms of the patients in time and providing important reference for epidemic situation tracking and control.
A suspected epidemic situation screening method based on a wearable body temperature sensor comprises the following steps:
A. measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
B. analyzing and judging whether the individual body temperature data is matched with the body temperature data of the epidemic situation one by one, judging that the individual body temperature data is a suspected person when the individual body temperature data is matched with the body temperature data of the epidemic situation, sending danger prompt information, judging that the individual body temperature data is a temporary normal person when the individual body temperature data is not matched with the body temperature data of the epidemic situation, and continuing the next round of monitoring.
Preferably, step a further comprises:
A1. measuring the geographical position information of an individual through the wearable body temperature sensor to obtain the geographical position information of the individual;
the step B also comprises the following steps:
B1. analyzing the action track of the individual, identifying a temporary normal person having a track intersection with the action track of the suspected person, and judging that the temporary normal person is an H1 type suspected contact person;
if the body temperature data of the H1 type suspected contact person is matched with the epidemic situation body temperature data within a certain time period t, wherein t can be within 1 day, 2 days, … … days or 7 days, the H1 type suspected contact person is judged to be the epidemic situation suspected person;
if any one person in the H1 suspected contact persons is confirmed to be infected with virus and confirmed by body temperature, CT image, kit, etc., the suspected persons affecting or infecting, spreading and transmitting the epidemic situation of the H1 suspected contact persons in the group are judged to be quasi-diagnosed persons, which have higher infection capability, i.e. the suspected persons are judged to be quasi-diagnosed persons, the system is pushed to the relevant persons for human intervention for further confirmation, or,
if the rate of the suspected contact persons with the H1 type to develop the suspected persons with the epidemic situation is more than y, y can be 50%, 40%, 30%, 20% or 10%, and the suspected persons with the epidemic situation influencing or spreading to the suspected contact persons with the H1 type are determined as accurate diagnosis persons through confirmation of body temperature, CT images, kits and the like, namely the suspected persons with the infection function are determined as accurate diagnosis persons, the suspected persons with the infection function have high infection capacity, and the system pushes the suspected persons to be manually intervened to make further accurate diagnosis.
Suspected persons in contact have a probability of being infected and need to be observed in isolation. Before the suspected person is determined, it is also necessary to confirm whether the suspected person has passed the history of the affected area before the suspected person, has contacted the confirmed case, or has undergone the course of infection. To confirm whether the infection is direct or reverse.
Preferably, the wearable body temperature sensor is provided with a timing module,
the step A also comprises the following steps:
A2. acquiring time parameters of an individual in a body temperature data measuring process;
the step B also comprises the following steps:
B2. judging the duration of the track intersection point between the temporary normal person and the suspected person, judging as the close suspected contact person when the duration is more than or equal to a set time X1, judging as the accidental suspected contact person when the duration is less than a set time X2, and judging as the temporary suspected contact person when the duration is less than a set time X1 and more than or equal to a set time X2.
The time length of contact with a suspected person or a diagnosed person is an important reference factor for judging the disease obtaining probability of a temporary normal person, and the disease obtaining probability is higher as the contact time is longer.
The specific time of X1 and X2 is not strictly defined in the present invention, and the length of X1 and X2 is also related to environmental factors and the physical condition of a person suspected to be in contact with the human body.
Preferably, the method further comprises the steps of acquiring environmental information of the track intersection, physical condition information of the suspected contacter and information that the suspected contacter is subsequently confirmed as the suspected person;
the person identified as a suspected person is determined to be infected by direct transmission, contact transmission or aerosol transmission.
When the environment information is in the elevator, judging the time information of the track cross point, and if the environment information is in the elevator at the same time, judging the time information to be directly transmitted or contact transmitted; if the front part and the rear part are respectively in the elevator, the aerosol transmission is judged to be passed; in the aerosol propagation mode, other people who are riding the elevator in a similar time are tracked through the image record of the elevator.
Preferably, the method further comprises the steps of acquiring environmental information of the track intersection and physical condition information of the suspected contact person;
analyzing the probability of virus transmission at the track intersection point through direct transmission, contact transmission or aerosol transmission by combining the environmental information of the track intersection point;
and judging the probability of the suspected contact person developing into the suspected person by combining the physical condition information of the suspected contact person.
The above two determinations are reciprocal and consider the disease transmission process from two aspects, from two processes or from different stages of a process.
When the condition of the temporary normal person does not appear yet and only one suspected contacter exists, the probability of various propagation modes of the environment is known by analyzing the environment information of the track cross point, and the possible disease mode, disease stage and possible prevention form are judged by combining the physical condition information of the suspected contacter, so that suspected cases and patients with mild symptoms are found early.
When the condition of the normal person appears temporarily, the normal person needs to judge through what way the normal person is infected so as to be beneficial to further cutting off the infection source and give reference to other persons, and at the moment, comprehensive judgment is carried out by combining track analysis and environmental information. When the environment information is in the elevator, judging the time information of the track cross point, and if the environment information is in the elevator at the same time, judging the time information to be directly transmitted or contact transmitted; if the front part and the rear part are respectively in the elevator, the aerosol transmission is judged to be passed; in the aerosol propagation mode, other people who are riding the elevator in a similar time are tracked through the image record of the elevator.
Preferably, the method further comprises the step of continuously acquiring the body temperature data of the suspected contact person, judging whether the difference △ T between the body temperature data in the current period and the body temperature data in the historical period is larger than or equal to a set reference deviation T1 in real time in cycles, and judging that the suspected contact person is developed into the suspected person when △ T is larger than or equal to T1.
Preferably, step a further comprises:
A3. measuring the geographical position information of an individual through the wearable body temperature sensor to obtain the geographical position information of the individual;
the step B also comprises the following steps:
B3. analyzing the action tracks of the individuals, and identifying track intersection points of the action tracks of the individuals;
step B also comprises the following steps:
C. when a temporary normal person has a trace intersection with more than 2 suspected persons,
acquiring information about whether the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, and if the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, judging that the temporary normal person is a invisible suspected propagator;
D. the temporary normal person at the track crossing point with the invisible suspected propagator is identified, and the temporary normal person is judged to be the H2 type suspected contacter.
When the 2 suspected persons did not obtain the possibility of infection from other more exact channels, it was judged whether the transient normal person with the track intersection was a true normal person without infection or a healthy normal person with an infection history. The transient normal person may have been infected with the virus during the incubation period or may have been infected with the virus and healed.
If the transient normal person is still in the latent period, the body temperature needs to be carefully observed, and the initial stage of the onset of the transient normal person is discovered in time, so as to achieve the purposes of early discovery and early treatment.
It may also be infected and has healed itself, which is certainly abnormal in body temperature during infection. At this time, it is judged by the history data of the body temperature whether the body temperature has abnormally changed in a certain period.
One is that his body temperature once exceeded 37.3 ℃, only that he was very resistant and had recovered by normal therapy.
In another case, the body temperature of the patient is not higher than 37.3 ℃ all the time, but the body temperature still fluctuates in the disease process and can generate larger deviation with the normal body temperature, and the larger deviation of the body temperature can be the time when the patient is in the disease, and the data rule can be captured to provide reference for judging other cases.
In this case, the abnormal phenomenon that normal people transmit to normal people occurs, and the main reason is that the resistance of the normal people is seemingly strong, no obvious disease occurs, but the infectious diseases infected by the normal people still have strong infectivity. The body temperature data acquired under the condition has strong research value.
In another case, if the transient normal person is truly a normal person before the suspect, then the person who has been exposed to 2 suspect persons and 3 suspect persons will have a greater probability of developing a case than the person who has been exposed to 1 suspect person, and it is also of interest to track the body temperature. If the probability of infection of the transient normal person is further increased because the 2 suspected persons cross the track intersection when the 2 suspected persons have the possibility of infection from other more exact channels, the probability of getting a disease of contacting one suspected person is J1, the probability of getting a disease of contacting 2 suspected persons is J2, the probability of getting a disease of contacting 3 suspected persons is J3, … …, and the probability of getting a disease of contacting N suspected persons is JN.
To confirm whether the infection is direct or reverse.
Preferably, the wearable body temperature sensor is provided with a timing module, and the step D is followed by:
E. acquiring a time-body temperature curve of the invisible suspected propagator, and judging whether the temperature difference between the body temperature data of the invisible suspected propagator in a certain time period and the temperature difference in the corresponding time period of other time periods of the individual is larger than a set value Z, wherein Z is 0.3 ℃, 0.4 ℃ or 0.5 ℃, and one period is 12 hours or more than 12 hours; and (4) excluding or further confirming the invisible suspected propagator as a secondary confirmation invisible suspected propagator.
Preferably, the body temperature data of the epidemic situation is as follows: 37.3 ℃; or the like, or, alternatively,
the body temperature data of the epidemic is: the temperature difference between the temperature data of the individual in one time period and the temperature data of the individual in the corresponding time period of the previous period or a plurality of previous periods in a plurality of time periods is larger than a set value Z, and one period is 12 hours or more than 12 hours.
The invention also provides a suspected epidemic situation screening system based on the wearable body temperature sensor.
A suspected people screening system of epidemic situation based on wearable body temperature sensor includes:
body temperature data acquisition module: measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
an analysis and judgment module: the system is used for analyzing and judging whether the individual body temperature data are consistent with the body temperature data of the epidemic situation one by one, judging the individual body temperature data to be a suspected person when the individual body temperature data are consistent with the body temperature data of the epidemic situation, sending danger prompting information, judging the individual body temperature data to be a temporary normal person when the individual body temperature data are not consistent with the body temperature data of the epidemic situation, and continuing the next.
The invention has the beneficial effects that the invention relates to a method for screening suspected epidemic situations based on a wearable body temperature sensor, which comprises the following steps: A. measuring the body temperature data of an individual through the wearable body temperature sensor according to a set time interval, and acquiring the body temperature data and the position data of the individual; B. analyzing and judging whether the body temperature data of the individual is consistent with the body temperature data of the epidemic situation one by one, judging that the individual is a suspected person P1 when the individual is consistent with the body temperature data, sending danger prompt information, judging that the individual is a temporary normal person when the individual is not consistent with the body temperature data, and continuing the next round of monitoring; C. analyzing the H-type suspected person affected or infected by the suspected person P1, if the H-type suspected person has a ratio of more than x, the body temperature of the H-type suspected person is matched with that of the suspected person in epidemic situation within a certain time, wherein x is 0.1, 0.2, 0.3, … …, 0.9 and 1, judging that the original P1-type suspected person is the key suspected person or the accurate diagnostician P3, and needing human intervention confirmation; the wearable body temperature sensor is used for acquiring the body temperature data of the patient, the method does not need to frequently carry out contact type body temperature detection on the patient, can carry out body temperature monitoring on a large number of patients in real time, improves the efficiency, and reduces the risk of infection when medical staff detect the body temperature of the patient; the patient and the body temperature sensor correspond to each other one by one, so that the risk of cross infection caused by repeated use of the traditional body temperature sensor is avoided, and the work of sterilizing the body temperature sensor is avoided.
At the time of coronavirus spread, the refreshing intelligence is highly concerned about the development dynamics and is expected to contribute a part of the power to society. In the lunar calendar of 2020, junior two, after learning that the isolation observation points of the hospitals in Shenzhen city use the heat guns to monitor various inconveniences of the isolation observers, the core team of the company immediately responds to the needs of Weijian committee of the city, and the human body 'body temperature centralized management system' based on the self-researched wearable thermometer of the company is developed in the technical backbone of the organization in the whole night, so that medical workers can remotely monitor the body temperature of the isolated population in real time, and the system can carry out the 'body temperature centralized management and control system' on the body temperature of the person who exceeds the human body. After the system is online for 2 months and 1 day, 10 hotel isolation points and hospitals use the system within 5 days, and 200 isolation observers are subjected to real-time temperature detection.
Drawings
The body temperature centralized monitoring system based on the wearable body temperature sensor of the invention is further explained with reference to the attached drawings 1-7.
FIG. 1 is a flow chart of a suspected epidemic situation screening method based on a wearable body temperature sensor according to the present invention.
Fig. 2 is a schematic structural diagram of an epidemic suspected person screening system based on a wearable body temperature sensor.
Fig. 3 is a topological structure diagram of an epidemic suspected person screening system based on a wearable body temperature sensor.
Fig. 4 is a diagram illustrating a scenario in which a relay base station is used as a relay according to the present invention.
Fig. 5 is a system diagram of the present invention employing a relay base station as a relay.
Fig. 6 is a diagram illustrating a scenario in which a handset is used as a repeater in accordance with the present invention.
Fig. 7 is a system diagram of the present invention employing a handset as a repeater.
In the figure:
the system comprises a body temperature sensor 1, a body temperature detection unit 11, a first Bluetooth communication unit 12, a power supply unit 13, a relay 2, a relay base station 21, a main control unit 211, a second Bluetooth communication unit 212, a WIFI unit 213, an IoT unit 214-NB-215, a storage unit 216, a human-computer interaction unit 22, a mobile phone and a cloud platform 3.
NB-IoT: narrowband thing networking.
Detailed Description
The invention provides a method for screening suspected epidemic situations based on a wearable body temperature sensor, which is described in the following embodiments.
Example 1
A suspected epidemic situation screening method based on a wearable body temperature sensor comprises the following steps:
A. measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
B. analyzing and judging whether the individual body temperature data is matched with the body temperature data of the epidemic situation one by one, judging that the individual body temperature data is a suspected person when the individual body temperature data is matched with the body temperature data of the epidemic situation, sending danger prompt information, judging that the individual body temperature data is a temporary normal person when the individual body temperature data is not matched with the body temperature data of the epidemic situation, and continuing the next round of monitoring.
In this embodiment, step a further includes:
A1. measuring the geographical position information of an individual through the wearable body temperature sensor to obtain the geographical position information of the individual;
the step B also comprises the following steps:
B1. the movement locus of an individual is analyzed, a temporary normal person having a locus intersection with the movement locus of a suspected person is identified, and the temporary normal person is judged as an H1 type suspected contact person.
Suspected persons in contact have a probability of being infected and need to be observed in isolation. Before the suspected person is determined, it is also necessary to confirm whether the suspected person has passed the history of the affected area before the suspected person, has contacted the confirmed case, or has undergone the course of infection. The suspected contacter may already be a self-healing patient if any of the three items are met. To confirm whether the infection is direct or reverse.
In this embodiment, the wearable body temperature sensor is provided with a timing module,
the step A also comprises the following steps:
A2. acquiring time parameters of an individual in a body temperature data measuring process;
the step B also comprises the following steps:
B2. judging the duration of the track intersection point between the temporary normal person and the suspected person, judging as the close suspected contact person when the duration is more than or equal to a set time X1, judging as the accidental suspected contact person when the duration is less than a set time X2, and judging as the temporary suspected contact person when the duration is less than a set time X1 and more than or equal to a set time X2.
The time length of contact with a suspected person or a diagnosed person is an important reference factor for judging the disease obtaining probability of a temporary normal person, and the disease obtaining probability is higher as the contact time is longer.
The specific time of X1 and X2 is not strictly defined in the present invention, and the length of X1 and X2 is also related to environmental factors and the physical condition of a person suspected to be in contact with the human body.
Example 2
A suspected epidemic situation screening method based on a wearable body temperature sensor comprises the following steps:
A. measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
B. analyzing and judging whether the individual body temperature data is matched with the body temperature data of the epidemic situation one by one, judging that the individual body temperature data is a suspected person when the individual body temperature data is matched with the body temperature data of the epidemic situation, sending danger prompt information, judging that the individual body temperature data is a temporary normal person when the individual body temperature data is not matched with the body temperature data of the epidemic situation, and continuing the next round of monitoring.
In this embodiment, the method further includes acquiring environmental information of the track intersection, physical condition information of the suspected contacter, and information that the suspected contacter is subsequently confirmed as the suspected contacter;
the person identified as a suspected person is determined to be infected by direct transmission, contact transmission or aerosol transmission.
When the environment information is in the elevator, judging the time information of the track cross point, and if the environment information is in the elevator at the same time, judging the time information to be directly transmitted or contact transmitted; if the front part and the rear part are respectively in the elevator, the aerosol transmission is judged to be passed; in the aerosol propagation mode, other people who are riding the elevator in a similar time are tracked through the image record of the elevator.
Example 3
A suspected epidemic situation screening method based on a wearable body temperature sensor comprises the following steps:
A. measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
B. analyzing and judging whether the individual body temperature data is matched with the body temperature data of the epidemic situation one by one, judging that the individual body temperature data is a suspected person when the individual body temperature data is matched with the body temperature data of the epidemic situation, sending danger prompt information, judging that the individual body temperature data is a temporary normal person when the individual body temperature data is not matched with the body temperature data of the epidemic situation, and continuing the next round of monitoring.
In this embodiment, the method further includes acquiring environmental information of the track intersection and physical condition information of the suspected contacter;
analyzing the probability of virus transmission at the track intersection point through direct transmission, contact transmission or aerosol transmission by combining the environmental information of the track intersection point;
and judging the probability of the suspected contact person developing into the suspected person by combining the physical condition information of the suspected contact person.
The processes of the two judgments of examples 2 and 3 are somewhat reciprocal, being the process of transmission of the disease viewed from two aspects, the two processes or different stages of a process.
When the pathological condition of a temporary normal person does not appear yet and only one suspected contacter exists, the probability of various propagation modes of the environment is known by analyzing the environment information of the track cross point, and the possible morbidity mode, the morbidity stage and the possible prevention form are judged by combining the physical condition information of the suspected contacter, so that suspected cases and patients with early mild symptoms are found.
When the condition of the normal person appears temporarily, the normal person needs to judge through what way the normal person is infected so as to be beneficial to further cutting off the infection source and give reference to other persons, and at the moment, comprehensive judgment is carried out by combining track analysis and environmental information. When the environment information is in the elevator, judging the time information of the track cross point, and if the environment information is in the elevator at the same time, judging the time information to be directly transmitted or contact transmitted; if the front part and the rear part are respectively in the elevator, the aerosol transmission is judged to be passed; in the aerosol propagation mode, other people who are riding the elevator in a similar time are tracked through the image record of the elevator.
In this embodiment, the method further includes continuously acquiring body temperature data of the suspected contact person, periodically and real-timely determining whether a difference △ T between the body temperature data in the current period and the difference in the historical period is greater than or equal to a set reference deviation T1, and determining that the suspected contact person is a suspected person when △ T is greater than or equal to T1.
Example 4
A suspected epidemic situation screening method based on a wearable body temperature sensor comprises the following steps:
A. measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
B. analyzing and judging whether the individual body temperature data is matched with the body temperature data of the epidemic situation one by one, judging that the individual body temperature data is a suspected person when the individual body temperature data is matched with the body temperature data of the epidemic situation, sending danger prompt information, judging that the individual body temperature data is a temporary normal person when the individual body temperature data is not matched with the body temperature data of the epidemic situation, and continuing the next round of monitoring.
In this embodiment, step a further includes:
A3. measuring the geographical position information of an individual through the wearable body temperature sensor to obtain the geographical position information of the individual;
the step B also comprises the following steps:
B3. analyzing the action tracks of the individuals, and identifying track intersection points of the action tracks of the individuals;
step B also comprises the following steps:
C. when a temporary normal person has a trace intersection with more than 2 suspected persons,
acquiring information about whether the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, and if the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, judging that the temporary normal person is a invisible suspected propagator;
D. the temporary normal person at the track crossing point with the invisible suspected propagator is identified, and the temporary normal person is judged to be the H2 type suspected contacter.
When the 2 suspected persons did not obtain the possibility of infection from other more exact channels, it was judged whether the transient normal person with the track intersection was a true normal person without infection or a healthy normal person with an infection history. The transient normal person may have been infected with the virus during the incubation period or may have been infected with the virus and healed.
If the transient normal person is still in the latent period, the body temperature needs to be carefully observed, and the initial stage of the onset of the transient normal person is discovered in time, so as to achieve the purposes of early discovery and early treatment.
It may also be infected and has healed itself, which is certainly abnormal in body temperature during infection. At this time, it is judged by the history data of the body temperature whether the body temperature has abnormally changed in a certain period.
One is that his body temperature once exceeded 37.3 ℃, only that he was very resistant and had recovered by normal therapy.
In another case, the body temperature of the patient is not higher than 37.3 ℃ all the time, but the body temperature still fluctuates during the process of getting illness or recovering after infection, and can generate overlarge deviation with the normal body temperature, and when the body temperature generates the larger deviation, the disease in the body can be generated, and the data rule can be captured to provide reference for judging other cases.
In this case, the abnormal phenomenon that normal people transmit to normal people occurs, and the main reason is that the resistance of the normal people is seemingly strong, no obvious disease occurs, but the infectious diseases infected by the normal people still have strong infectivity. The body temperature data acquired under the condition has strong research value.
In another case, if the transient normal person is truly a normal person before the suspect, then the person who has been exposed to 2 suspect persons and 3 suspect persons will have a greater probability of developing a case than the person who has been exposed to 1 suspect person, and it is also of interest to track the body temperature. If the probability of infection of the transient normal person is further increased because the 2 suspected persons cross the track intersection when the 2 suspected persons have the possibility of infection from other more exact channels, the probability of getting a disease of contacting one suspected person is J1, the probability of getting a disease of contacting 2 suspected persons is J2, the probability of getting a disease of contacting 3 suspected persons is J3, … …, and the probability of getting a disease of contacting N suspected persons is JN.
In this embodiment, wearable body temperature sensor is provided with the timing module, still includes after step D:
E. acquiring a time-body temperature curve of the invisible suspected propagator, and judging whether the temperature difference between the body temperature data of the invisible suspected propagator in a certain time period and the temperature difference in the corresponding time period of other time periods of the individual is larger than a set value Z, wherein Z is 0.3 ℃, 0.4 ℃ or 0.5 ℃, and one period is 12 hours or more than 12 hours;
and (4) excluding or further confirming the invisible suspected propagator as a secondary confirmation invisible suspected propagator.
In this embodiment, the body temperature data of the epidemic situation is: 37.3 ℃; or the like, or, alternatively,
the body temperature data of the epidemic is: the temperature difference between the temperature data of the individual in one time period and the temperature data of the individual in the corresponding time period of the previous period or a plurality of previous periods in a plurality of time periods is larger than a set value Z, and one period is 12 hours or more than 12 hours.
The invention also provides a suspected epidemic situation screening system based on the wearable body temperature sensor.
Example 1
A suspected people screening system of epidemic situation based on wearable body temperature sensor includes:
body temperature data acquisition module: measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
an analysis and judgment module: the system is used for analyzing and judging whether the individual body temperature data are consistent with the body temperature data of the epidemic situation one by one, judging the individual body temperature data to be a suspected person when the individual body temperature data are consistent with the body temperature data of the epidemic situation, sending danger prompting information, judging the individual body temperature data to be a temporary normal person when the individual body temperature data are not consistent with the body temperature data of the epidemic situation, and continuing the next.
Suspected persons in contact have a probability of being infected and need to be observed in isolation. Before the suspected person is determined, it is also necessary to confirm whether the suspected person has passed the history of the affected area before the suspected person, has contacted the confirmed case, or has undergone the course of infection. The suspected contacter may already be a self-healing patient if any of the three items are met. To confirm whether the infection is direct or reverse.
In this embodiment, the wearable body temperature sensor is provided with a timing module, and the timing module is used for acquiring a time parameter of an individual in a body temperature data measuring process;
the analysis and judgment module further comprises a track intersection analysis timing module: the method is used for judging the duration of the track intersection point between the temporary normal person and the suspected person, judging as the close suspected contact person when the duration is more than or equal to a set time X1, judging as the accidental suspected contact person when the duration is less than a set time X2, and judging as the temporary suspected contact person when the duration is less than a set time X1 and more than or equal to a set time X2.
The time length of contact with a suspected person or a diagnosed person is an important reference factor for judging the disease obtaining probability of a temporary normal person, and the disease obtaining probability is higher as the contact time is longer. The specific time of X1 and X2 is not strictly defined in the present invention, and the length of X1 and X2 is also related to environmental factors and the physical condition of a person suspected to be in contact with the human body.
Example 2
A suspected people screening system of epidemic situation based on wearable body temperature sensor includes:
body temperature data acquisition module: measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
an analysis and judgment module: the system is used for analyzing and judging whether the individual body temperature data are consistent with the body temperature data of the epidemic situation one by one, judging the individual body temperature data to be a suspected person when the individual body temperature data are consistent with the body temperature data of the epidemic situation, sending danger prompting information, judging the individual body temperature data to be a temporary normal person when the individual body temperature data are not consistent with the body temperature data of the epidemic situation, and continuing the next.
In this embodiment, the system further includes an environment information forward analysis module: the system comprises a track intersection, a suspected contact person and a database, wherein the track intersection is used for acquiring environmental information of the track intersection, physical condition information of the suspected contact person and information that the suspected contact person is subsequently confirmed as the suspected person;
the person identified as a suspected person is determined to be infected by direct transmission, contact transmission or aerosol transmission.
When the environment information is in the elevator, judging the time information of the track cross point, and if the environment information is in the elevator at the same time, judging the time information to be directly transmitted or contact transmitted; if the front part and the rear part are respectively in the elevator, the aerosol transmission is judged to be passed; in the aerosol propagation mode, other people who are riding the elevator in a similar time are tracked through the image record of the elevator.
The embodiment is suitable for scattered patients.
In the embodiment, the system further comprises a body temperature centralized monitoring system based on the wearable body temperature sensor, and the system specifically comprises a body temperature sensor 1, a repeater 2 and a cloud platform 3; the body temperature sensor 1 is a wearable device and is used for collecting the body surface temperature of a human body and transmitting body temperature data to the repeater 2; the relay 2 is used for accessing the cloud platform 3 through a network and sending the received body temperature data to the cloud platform 3, and the cloud platform 3 can simultaneously receive access of the plurality of relays 2; the cloud platform 3 builds file management on each body temperature sensor 1, and sorts, summarizes and analyzes the received body temperature data.
In the embodiment, the body temperature sensor 1 is fixed on the body surface of a human body in a sticking way, and the body temperature sensor 1 comprises a body temperature detection unit 11, a first Bluetooth communication unit 12 and a power supply unit 13;
the body temperature detection unit 11 is used for detecting the body surface temperature of a human body;
the first Bluetooth unit 12 is used for communicating with the repeater 2, and comprises a body temperature data uploading unit and a control signal receiving unit;
the power supply unit 13 has a built-in battery for continuously supplying power to the body temperature sensor 1.
In this embodiment, the cloud platform 3 records the temperature data of each profiled body temperature sensor 1 in real time, and forms a continuous body temperature curve graph;
in the body temperature graph, the wearing state, the normal body temperature state, and the fever body temperature state of the body temperature sensor 1 are identified.
In this embodiment, the cloud platform 3 performs group management according to the location area of the body temperature sensor wearer;
the group member state is displayed in a chart in a grouping interface, comprises the specific position, the current body temperature and the highest body temperature within 1 hour of each group member, and is highlighted for the heating personnel;
the grouping status is graphically displayed in the summary interface, including the number of heat emitting people for each group that are highlighted.
In this embodiment, the repeater 2 is a mobile phone 22, and the mobile phone 22 is provided with an APP program for controlling the body temperature sensor 1 and accessing the cloud platform 3;
the body temperature sensor 1 is connected with the mobile phone 22 through the first Bluetooth communication unit 12.
Example 3
A suspected people screening system of epidemic situation based on wearable body temperature sensor includes:
body temperature data acquisition module: measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
an analysis and judgment module: the system is used for analyzing and judging whether the individual body temperature data are consistent with the body temperature data of the epidemic situation one by one, judging the individual body temperature data to be a suspected person when the individual body temperature data are consistent with the body temperature data of the epidemic situation, sending danger prompting information, judging the individual body temperature data to be a temporary normal person when the individual body temperature data are not consistent with the body temperature data of the epidemic situation, and continuing the next.
In this embodiment, the system further includes an environment information reverse analysis module: the system comprises a track intersection, a data acquisition module, a data processing module and a data processing module, wherein the track intersection is used for acquiring environmental information of the track intersection and physical condition information of a suspected contact person;
analyzing the probability of virus transmission at the track intersection point through direct transmission, contact transmission or aerosol transmission by combining the environmental information of the track intersection point;
and judging the probability of the suspected contact person developing into the suspected person by combining the physical condition information of the suspected contact person.
The processes of the two judgments of examples 2 and 3 are somewhat reciprocal, being the process of transmission of the disease viewed from two aspects, the two processes or different stages of a process.
When the pathological condition of a temporary normal person does not appear yet and only one suspected contacter exists, the probability of various propagation modes of the environment is known by analyzing the environment information of the track cross point, and the possible morbidity mode, the morbidity stage and the possible prevention form are judged by combining the physical condition information of the suspected contacter, so that suspected cases and patients with early mild symptoms are found.
When the condition of the normal person appears temporarily, the normal person needs to judge through what way the normal person is infected so as to be beneficial to further cutting off the infection source and give reference to other persons, and at the moment, comprehensive judgment is carried out by combining track analysis and environmental information. When the environment information is in the elevator, judging the time information of the track cross point, and if the environment information is in the elevator at the same time, judging the time information to be directly transmitted or contact transmitted; if the front part and the rear part are respectively in the elevator, the aerosol transmission is judged to be passed; in the aerosol propagation mode, other people who are riding the elevator in a similar time are tracked through the image record of the elevator.
In this embodiment, the system further comprises a body temperature data deviation analysis module, which is configured to continuously obtain body temperature data of the suspected contact person, periodically and real-timely determine whether a difference △ T between the body temperature data in the current period and the same time period in the historical period is greater than or equal to a set reference deviation T1, and determine that the suspected contact person is a suspected person when △ T is greater than or equal to T1.
Example 4
A suspected people screening system of epidemic situation based on wearable body temperature sensor includes:
body temperature data acquisition module: measuring the body temperature data of the individual through the wearable body temperature sensor according to a set time interval to obtain the body temperature data of the individual;
an analysis and judgment module: the system is used for analyzing and judging whether the individual body temperature data are consistent with the body temperature data of the epidemic situation one by one, judging the individual body temperature data to be a suspected person when the individual body temperature data are consistent with the body temperature data of the epidemic situation, sending danger prompting information, judging the individual body temperature data to be a temporary normal person when the individual body temperature data are not consistent with the body temperature data of the epidemic situation, and continuing the next.
In this embodiment, the body temperature data acquisition module further includes a geographic information analysis module: the wearable body temperature sensor is used for measuring the geographical position information of the individual and acquiring the geographical position information of the individual;
the analysis and judgment module further comprises: a trajectory analysis module: the track intersection points are used for analyzing the action tracks of the individuals and identifying the action tracks of the individuals;
the analysis and judgment module further comprises: a probability superposition analysis module: for analysis when a transient normal person has trace intersections with more than 2 suspected persons,
acquiring information about whether the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, and if the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, judging that the temporary normal person is a invisible suspected propagator;
h2 decision module: the method is used for identifying the temporary normal person crossing the track of the invisible suspected propagator and judging that the temporary normal person is the H2 type suspected contacter.
When the 2 suspected persons did not obtain the possibility of infection from other more exact channels, it was judged whether the transient normal person with the track intersection was a true normal person without infection or a healthy normal person with an infection history. The transient normal person may have been infected with the virus during the incubation period or may have been infected with the virus and healed.
If the transient normal person is still in the latent period, the body temperature needs to be carefully observed, and the initial stage of the onset of the transient normal person is discovered in time, so as to achieve the purposes of early discovery and early treatment.
It may also be infected and has healed itself, which is certainly abnormal in body temperature during infection. At this time, it is judged by the history data of the body temperature whether the body temperature has abnormally changed in a certain period.
One is that his body temperature once exceeded 37.3 ℃, only that he was very resistant and had recovered by normal therapy.
In another case, the body temperature of the patient is not higher than 37.3 ℃ all the time, but the body temperature still fluctuates during the process of getting illness or recovering after infection, and can generate overlarge deviation with the normal body temperature, and when the body temperature generates the larger deviation, the disease in the body can be generated, and the data rule can be captured to provide reference for judging other cases.
In another case, if the transient normal person is truly a normal person before the suspect, then the person who has been exposed to 2 suspect persons and 3 suspect persons will have a greater probability of developing a case than the person who has been exposed to 1 suspect person, and it is also of interest to track the body temperature. If the probability of infection of the transient normal person is further increased because the 2 suspected persons cross the track intersection when the 2 suspected persons have the possibility of infection from other more exact channels, the probability of getting a disease of contacting one suspected person is J1, the probability of getting a disease of contacting 2 suspected persons is J2, the probability of getting a disease of contacting 3 suspected persons is J3, … …, and the probability of getting a disease of contacting N suspected persons is JN.
In this embodiment, wearable body temperature sensor is provided with the timing module, still includes body temperature fluctuation analysis module: the system is used for acquiring a time-body temperature curve of the invisible suspected propagator, and judging whether the temperature difference between body temperature data of the invisible suspected propagator in a certain time period and the temperature difference in corresponding time periods of other time periods of the individual is larger than a set value Z, wherein one period is 12 hours or more than 12 hours;
and (4) excluding or further confirming the invisible suspected propagator as a secondary confirmation invisible suspected propagator.
In this embodiment, the body temperature data of the epidemic situation is: 37.3 ℃; or the like, or, alternatively,
the body temperature data of the epidemic is: the temperature difference between the temperature data of the individual in one time period and the temperature data of the individual in the corresponding time period of the previous period or a plurality of previous periods in a plurality of time periods is larger than a set value Z, and one period is 12 hours or more than 12 hours.
This patent relates to the body temperature centralized monitoring system of development, can satisfy the demand to keeping apart the real-time remote monitoring of individual body temperature, can solve the problem and include:
for an individual: the body temperature can be continuously monitored in real time, and high-temperature prompt can be timely realized, so that the use is convenient;
the method aims at centralized monitoring of isolation points, ① nurses can remotely monitor the body temperature of each observer in real time, contact is reduced, cross infection risks are reduced, ② systems can feed information of a heat generator back to the nurses in time to realize timely diagnosis and treatment, ③ doctors can check historical temperature curves of the isolators at any time, analyze fluctuation conditions along with time, and provide auxiliary information for diagnosis and treatment.
Aiming at treatment scenes such as hospitals and the like: the treatment effect of the treatment process of certain diseases is monitored and analyzed in real time through body temperature, and the development conditions of other factors are met; for school student groups, especially kindergartens: because the infant is not well expressed, the system informs the teacher of the abnormal temperature information, and the teacher can judge the health condition of the child and can be used for preventing the spread of flu and the like.
The system can assist in analyzing physical sign conditions of drivers and passengers through body temperature monitoring aiming at mobile bus drivers, school bus drivers, children and the like, can analyze regional distribution and diffusion conditions of epidemic situation through body temperature and other sign data and position data of system statistics in the aspect of national province and city, can analyze treatment conditions of the epidemic situation and disease attack and treatment differences in different places, and can timely early warn potential epidemic situation through multiple directions, multiple periods and large-scale body temperature and other sign data by a specialist and a system under the normal condition of ③, so that the epidemic situation is eliminated in a bud state, and loss is reduced to the lowest.
The problems to be solved are divided into three levels, ①, ②, 3526 and ③, wherein the three levels are specific to individuals, namely, a wearable thermometer is used for realizing real-time monitoring, high-temperature early warning, remote viewing, history viewing and the like of the body temperature of the individual, the ② is specific to a body temperature centralized monitoring scene, a body temperature centralized monitoring system is used, the monitoring system in the thermometer comprises a wearable temperature sticker, a relay base station and a background system, the remote real-time monitoring, abnormal and timely early warning and the like of the body temperature of a group are realized, and the ③ is specific to a government agency, a disease control center, a health committee and the like, and the big data analysis is carried out on the body temperature monitoring data, the position data and the like of.
Data collection:
collecting body temperature data every 10 minutes, { ID, monitoring point, coordinate, body temperature, time }, and automatically uploading data of each individual in the monitoring point by the wearable device, wherein
ID: the target monitoring unit is required to wear a wearable temperature sensor or implant a temperature sensor;
monitoring points: can be a family, a company, a district, a city; depending on the scope of the study; such as: each province is taken as a monitoring point when the epidemic situation distribution of the whole country is researched; if the epidemic situation distribution of a certain province is researched, each city can be taken as a monitoring point,
coordinates are as follows: the coordinate, longitude and latitude and the variation with time of a certain moment of the minimum monitoring unit;
body temperature: the body temperature of the monitoring unit at a certain moment is minimized, and the variation quantity of the monitoring unit along with the time is minimized.
Time: the time can be set to different sampling intervals according to the needs, such as every 10 minutes, every 1 hour, etc.;
defining a target monitoring unit as i, the monitoring quantity position L of the target unit as a function of time t, Li = f (t), the body temperature C as a function of time t and the position L, Ci = f (t, L)
Defining a monitoring point as k, wherein the individual body temperature of the monitoring point is Cik, and the total number of people at the monitoring point is changed due to the flow of population; and meanwhile, the proportion of the heating individual at the monitoring point at the time t is defined as Y, so that Y is a function of time t and the body temperature of the individual, Yk = f (Cik, t)
Assuming that the epidemic spreads through the human body, the evaluation amounts are defined as follows:
the individual measurement indexes comprise body temperature C, body temperature change △ C and fever times D in a certain time period, and are { C, △ C, D } = f (t, L) along with time and space;
the metrics for the monitoring points are that the heat generation ratio is y, the heat generation ratio is increased to △ y, and related to time and personnel flow, { y, △ y } = f (Ci, t);
the measurement indexes aiming at the global monitoring are that the heating proportion of each monitoring point is Y, the heating proportion is increased to △ Y, the diffusion speed of a heating area is related to time and personnel flow, { Y, △ Y } = f (Ci, t);
monitoring significance and uses
{ C, △ C, D }, judging the physical sign condition of an individual, assisting in analyzing the source of epidemic situation, judging the difference of individual anti-epidemic situation, and judging what the individual has stronger resistance to the epidemic situation;
{ y, △ y }' judging the spreading and control condition of the epidemic in the monitoring point, the association of the epidemic with time and floating population, and positioning the influence of each floating population on the change of the epidemic.
{ Y, △ Y }, whether the spreading and control of the epidemic is in the outbreak phase or in the controlled phase from the global decision, can be used to analyze and intercept the superpropagator.
Because data are uploaded in real time, the real-time situation of epidemic situations can be reflected, and judgment can be made more accurately.
Furthermore, people who have contacted with the super propagator in a certain time period can be rapidly screened out through the coordinate change of the individual;
furthermore, because the system records the mobile phone number, the risk prompt information can be issued to the close-contact person in time through the mobile phone.
Furthermore, the individual user can correlate the information such as sex, age, hobby, medical history and the like, can judge the correlation between epidemic propagation and individual characteristics, and provides related information assistance for decision makers.
In the embodiment, the system also comprises a body temperature centralized monitoring system based on the wearable body temperature sensor,
the embodiment is suitable for the scene of centralized monitoring, such as a hospital isolation area with centralized diseases, a large isolation vehicle and a family isolated at home, and is particularly suitable for Wuhan temporary shelter hospitals.
The system comprises a body temperature sensor 1, a repeater and a cloud platform 3;
the body temperature sensor 1 is a wearable device and is used for collecting the body surface temperature of a human body and transmitting body temperature data to the repeater 2;
the relay 2 is used for accessing the cloud platform 3 through a network and sending the received body temperature data to the cloud platform 3, and the cloud platform 3 can simultaneously receive access of the plurality of relays 2;
the cloud platform 3 builds file management on each body temperature sensor 1, and sorts, summarizes and analyzes the received body temperature data.
In the embodiment, the body temperature sensor 1 is fixed on the body surface of a human body in a sticking way, and the body temperature sensor 1 comprises a body temperature detection unit 11, a first Bluetooth communication unit 12 and a power supply unit 13;
the body temperature detection unit 11 is used for detecting the body surface temperature of a human body;
the first Bluetooth unit 12 is used for communicating with the repeater 2, and comprises a body temperature data uploading unit and a control signal receiving unit;
the power supply unit 13 has a built-in battery for continuously supplying power to the body temperature sensor 1.
In this embodiment, the cloud platform 3 records the temperature data of each profiled body temperature sensor 1 in real time, and forms a continuous body temperature curve graph;
in the body temperature graph, the wearing state, the normal body temperature state, and the fever body temperature state of the body temperature sensor 1 are identified.
In this embodiment, the cloud platform 3 performs group management according to the location area of the body temperature sensor wearer;
the group member state is displayed in a chart in a grouping interface, comprises the specific position, the current body temperature and the highest body temperature within 1 hour of each group member, and is highlighted for the heating personnel;
the grouping status is graphically displayed in the summary interface, including the number of heat emitting people for each group that are highlighted.
In this embodiment, the repeater 2 is a relay base station 21;
the relay base station 21 comprises a main control unit 211 and a second bluetooth communication unit 212;
the main control unit 211 is configured to control the relay base station 21;
the second bluetooth communication unit 212 is used for communicating with the first bluetooth units 12, and the second bluetooth communication unit 212 can be wirelessly connected with a plurality of first bluetooth units 12 at the same time;
in this embodiment, the relay base station 21 further includes a WIFI unit 213;
the WIFI unit 213 is configured to connect to a router, so that the relay base station 21 accesses the wide area network.
In this embodiment, the relay base station 21 further includes an NB-IoT internet of things unit 214, configured to access the cloud platform 3 through a wireless mobile network.
In this embodiment, the relay base station 21 further includes a storage unit 215, and the storage unit 215 is configured to store the body temperature data uploaded by the body temperature sensor 1 when the wide area network cannot be connected.
In this embodiment, the relay base station 21 further includes a human-computer interaction unit 216;
the human-computer interaction unit 216 is used for connecting with a mobile phone of an operator, and the operator directly inquires and manages the state data of the body temperature sensor 1 connected with the relay base station 21 in the signal coverage area of the relay base station 21 through the mobile phone.
The present invention is not limited to the above embodiments, and the technical solutions of the above embodiments of the present invention may be combined with each other in a crossing manner to form a new technical solution, and all technical solutions formed by using equivalent substitutions fall within the scope of the present invention.

Claims (10)

1. A suspected epidemic situation screening method based on a wearable body temperature sensor is characterized by comprising the following steps:
A. measuring body temperature data of an individual through a wearable body temperature sensor according to a set time interval, and acquiring the body temperature data of the individual;
B. analyzing and judging whether the individual body temperature data are consistent with the body temperature data of the epidemic situation one by one, judging the individual body temperature data to be a suspected person when the individual body temperature data are consistent with the body temperature data of the epidemic situation, judging the individual body temperature data to be a temporary normal person when the individual body temperature data are not consistent with the body temperature data of the epidemic situation, and continuing the next round of monitoring.
2. The method for screening suspected persons of epidemic situation based on wearable body temperature sensor according to claim 1, wherein the step A further comprises:
A1. measuring the geographical position information of an individual through a wearable body temperature sensor to obtain the geographical position information of the individual;
the step B further comprises the following steps:
B1. analyzing the action track of the individual, identifying a temporary normal person having a track intersection with the action track of the suspected person, and judging that the temporary normal person is an H1 type suspected contact person; if the body temperature data of the H1 type suspected contact person in a certain time period t is matched with the epidemic situation body temperature data, judging that the H1 type suspected contact person is an epidemic situation suspected person;
if any one person in the suspected H1 contact persons is diagnosed as infected with the virus, the suspected person is judged to be a quasi-diagnosed person, the system pushes the suspected person to the relevant personnel for human intervention, further diagnosis is confirmed, or,
if the rate of the H1 type suspected contact person developing into the suspected epidemic situation is more than y, the suspected person is judged to be a quasi-confirmed person, the system pushes the related personnel to perform artificial intervention, and y is more than or equal to 10%.
3. The method for epidemic suspected person screening based on wearable body temperature sensor of claim 2, wherein the wearable body temperature sensor is provided with a timing module,
the step A further comprises the following steps:
A2. acquiring time parameters of the individual in a body temperature data measuring process;
the step B further comprises the following steps:
B2. judging the duration of the track intersection point between the temporary normal person and the suspected person, judging as the close suspected contact person when the duration is more than or equal to a set time X1, judging as the accidental suspected contact person when the duration is less than a set time X2, and judging as the temporary suspected contact person when the duration is less than a set time X1 and more than or equal to a set time X2.
4. The method for screening suspected persons based on the epidemic situation of the wearable body temperature sensor according to claim 2, further comprising obtaining environmental information of the track crossing point, physical condition information of suspected contactants and information that suspected contactants are subsequently confirmed as suspected persons;
and judging that the person identified as the suspected person is infected by direct transmission, contact transmission or aerosol transmission.
5. The method for screening suspected persons of epidemic situations based on wearable body temperature sensors according to claim 2, further comprising obtaining environmental information of the crossing point of the track and physical condition information of suspected persons in contact;
analyzing the probability of virus transmission at the track intersection through direct transmission, contact transmission or aerosol transmission by combining the environmental information of the track intersection;
and judging the probability of the suspected contact person developing into the suspected person by combining the physical condition information of the suspected contact person.
6. The wearable body temperature sensor-based epidemic suspected person screening method of claim 5, further comprising continuously acquiring body temperature data of the suspected contact person, periodically and real-timely judging whether the difference △ T between the body temperature data in the current period and the current period in the historical period is greater than or equal to a set reference deviation T1, and when the difference △ T is greater than or equal to T1, judging that the suspected contact person is a suspected person.
7. The method for screening suspected persons of epidemic based on wearable body temperature sensor according to claim 1, wherein the step A further comprises:
A3. measuring the geographical position information of an individual through a wearable body temperature sensor to obtain the geographical position information of the individual;
the step B further comprises the following steps:
B3. analyzing the action tracks of the individuals, and identifying track intersection points of the action tracks of the individuals;
the step B further comprises the following steps:
C. when a temporary normal person has a trace intersection with more than 2 suspected persons,
acquiring information about whether the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, and if the temporary normal person has epidemic area travel history, suspected patient contact history or confirmed patient contact history, judging that the temporary normal person is a invisible suspected propagator;
D. and identifying the temporary normal person at the track intersection of the invisible suspected propagator, and judging that the temporary normal person is the H2 type suspected contacter.
8. The method according to claim 7, wherein the wearable body temperature sensor is provided with a timing module, and the method further comprises the following steps:
E. acquiring a time-body temperature curve of the invisible suspected propagator, and judging whether the temperature difference between the body temperature data of the invisible suspected propagator in a certain time period and the temperature difference in the corresponding time periods of other time periods of the individual is larger than a set value Z, wherein Z is 0.3 ℃, 0.4 ℃ or 0.5 ℃, and one period is 12 hours or more than 12 hours;
and (4) excluding or further confirming the invisible suspected propagator as a secondary confirmation invisible suspected propagator.
9. The method for screening suspected persons in epidemic situation based on wearable body temperature sensor as claimed in claim 1, wherein the body temperature data of the epidemic situation is: 37.3 ℃; or the like, or, alternatively,
the body temperature data of the epidemic is as follows: the temperature difference between the body temperature data of the individual in one time period and the corresponding time period of the individual in the previous period or previous periods in a plurality of time periods is larger than a set value Z, and one period is 12 hours or more than 12 hours.
10. The utility model provides a suspected people screening system of epidemic situation based on wearable body temperature sensor which characterized in that includes:
body temperature data acquisition module: measuring body temperature data of an individual through a wearable body temperature sensor according to a set time interval, and acquiring the body temperature data of the individual;
an analysis and judgment module: and the monitoring system is used for analyzing and judging whether the individual body temperature data is consistent with the body temperature data of the epidemic situation one by one, judging the individual body temperature data to be a suspected person when the individual body temperature data is consistent with the body temperature data of the epidemic situation, sending danger prompt information, judging the individual body temperature data to be a temporary normal person when the individual body temperature data is not consistent with the body temperature data of the epidemic situation, and continuing the.
CN202010096269.XA 2020-02-17 2020-02-17 Epidemic suspected person screening method and system based on wearable body temperature sensor Pending CN111063450A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010096269.XA CN111063450A (en) 2020-02-17 2020-02-17 Epidemic suspected person screening method and system based on wearable body temperature sensor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010096269.XA CN111063450A (en) 2020-02-17 2020-02-17 Epidemic suspected person screening method and system based on wearable body temperature sensor

Publications (1)

Publication Number Publication Date
CN111063450A true CN111063450A (en) 2020-04-24

Family

ID=70307705

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010096269.XA Pending CN111063450A (en) 2020-02-17 2020-02-17 Epidemic suspected person screening method and system based on wearable body temperature sensor

Country Status (1)

Country Link
CN (1) CN111063450A (en)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111640515A (en) * 2020-05-26 2020-09-08 深圳市通用互联科技有限责任公司 Method and device for determining epidemic situation risk of region, computer equipment and storage medium
CN111653358A (en) * 2020-05-29 2020-09-11 鹏城实验室 Infection risk assessment method, first terminal and computer storage medium
CN111667390A (en) * 2020-05-29 2020-09-15 软通动力信息技术有限公司 Epidemic prevention and control management system and method
CN111685744A (en) * 2020-06-17 2020-09-22 中祖建设安装工程有限公司 Health monitoring method and system for forbidden personnel
CN111711676A (en) * 2020-06-04 2020-09-25 中国联合网络通信集团有限公司 Method for confirming indoor close contact person of infectious disease patient and server
CN111743522A (en) * 2020-06-15 2020-10-09 武汉理工大学 Intelligent terminal early warning system of epidemic situation prevention and control
CN111833599A (en) * 2020-05-29 2020-10-27 广东岭南通股份有限公司 Close contact person early warning method and system for sudden public health safety event
CN112268634A (en) * 2020-10-22 2021-01-26 北京小米移动软件有限公司 Temperature monitoring method and device and storage medium
CN112365996A (en) * 2020-11-10 2021-02-12 中科海微(北京)科技有限公司 Disease propagation prevention and control method and system
CN112866945A (en) * 2021-01-11 2021-05-28 成戍 Infectious disease prevention, control and traceability system based on sensor network and big data analysis
CN112998669A (en) * 2021-02-08 2021-06-22 深圳市沃特沃德信息有限公司 Intelligent device for health detection and intelligent watch for health detection
CN113066581A (en) * 2021-03-24 2021-07-02 深圳市沃特沃德信息有限公司 Health detection method and device based on intelligent wearable device and computer device
CN113161003A (en) * 2020-05-31 2021-07-23 华南理工大学 System and method for tracking and registering motion trail of infectious disease patient and contacter
CN113729643A (en) * 2021-06-29 2021-12-03 暨南大学 Infectious disease prevention and control method, device and system based on health monitoring and track monitoring
WO2021262096A1 (en) * 2020-06-22 2021-12-30 Nervotec Pte Ltd. An intelligent networked system for proactively monitoring and predicting various parameters in a defined environment

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1542416A (en) * 2003-05-02 2004-11-03 北京行者华视网络***集成技术有限公 Temperature measuring method and apparatus thereof
CN102043895A (en) * 2009-10-13 2011-05-04 北京大学 Disease prevention and treatment method and system
US20120319847A1 (en) * 2011-06-16 2012-12-20 Alan Camerik Heller Systems for detecting a febrile condition and reducing risks of spreading infection
US20130132572A1 (en) * 2011-11-20 2013-05-23 Yang Pan System and Method for Monitoring Outbreak of Contagious Diseases
US20130318027A1 (en) * 2011-11-20 2013-11-28 Gal Almogy System and method to enable detection of viral infection by users of electronic communication devices
US20150100330A1 (en) * 2013-10-08 2015-04-09 Assaf Shpits Method and system of identifying infectious and hazardous sites, detecting disease outbreaks, and diagnosing a medical condition associated with an infectious disease
WO2015166444A1 (en) * 2014-05-01 2015-11-05 University Of Cape Town Method and device to monitor infectious patients
US20160132652A1 (en) * 2014-11-11 2016-05-12 Ebay Inc. Communicable disease tracking
CN106580283A (en) * 2016-11-16 2017-04-26 神农架林区疾病预防控制中心 Epidemic prevention and control method of human infected highly pathogenic avian influenza
WO2017216056A1 (en) * 2016-06-14 2017-12-21 Koninklijke Philips N.V. Monitoring infection risk
CN107924716A (en) * 2015-08-06 2018-04-17 微软技术许可有限责任公司 For identifying the computing system in health risk area
US20180192873A1 (en) * 2014-10-24 2018-07-12 Cambridge temperature concepts ltd Monitoring physiologogy
CN108695003A (en) * 2018-08-07 2018-10-23 中山市徕康医疗信息软件技术有限公司 A kind of cloud management system and method that fever epidemic situation monitors and traces to the source
CN108986921A (en) * 2018-07-04 2018-12-11 泰康保险集团股份有限公司 Disease forecasting method, apparatus, medium and electronic equipment
CN109378079A (en) * 2018-09-27 2019-02-22 同济大学 A kind of system and method based on Cases for Fever Symptom Monitoring infectious disease
US20190252078A1 (en) * 2018-02-15 2019-08-15 X Development Llc Predicting the spread of contagions
US20190295725A1 (en) * 2018-03-23 2019-09-26 Donnie R. Morrow, JR. Patient Tracking and Diagnosis System of Transmissible Disease
JP2019200503A (en) * 2018-05-15 2019-11-21 三菱電機ビルテクノサービス株式会社 Admission control system and program

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1542416A (en) * 2003-05-02 2004-11-03 北京行者华视网络***集成技术有限公 Temperature measuring method and apparatus thereof
CN102043895A (en) * 2009-10-13 2011-05-04 北京大学 Disease prevention and treatment method and system
US20120319847A1 (en) * 2011-06-16 2012-12-20 Alan Camerik Heller Systems for detecting a febrile condition and reducing risks of spreading infection
US20130132572A1 (en) * 2011-11-20 2013-05-23 Yang Pan System and Method for Monitoring Outbreak of Contagious Diseases
US20130318027A1 (en) * 2011-11-20 2013-11-28 Gal Almogy System and method to enable detection of viral infection by users of electronic communication devices
US20150100330A1 (en) * 2013-10-08 2015-04-09 Assaf Shpits Method and system of identifying infectious and hazardous sites, detecting disease outbreaks, and diagnosing a medical condition associated with an infectious disease
WO2015166444A1 (en) * 2014-05-01 2015-11-05 University Of Cape Town Method and device to monitor infectious patients
US20180192873A1 (en) * 2014-10-24 2018-07-12 Cambridge temperature concepts ltd Monitoring physiologogy
US20160132652A1 (en) * 2014-11-11 2016-05-12 Ebay Inc. Communicable disease tracking
CN107924716A (en) * 2015-08-06 2018-04-17 微软技术许可有限责任公司 For identifying the computing system in health risk area
WO2017216056A1 (en) * 2016-06-14 2017-12-21 Koninklijke Philips N.V. Monitoring infection risk
CN106580283A (en) * 2016-11-16 2017-04-26 神农架林区疾病预防控制中心 Epidemic prevention and control method of human infected highly pathogenic avian influenza
US20190252078A1 (en) * 2018-02-15 2019-08-15 X Development Llc Predicting the spread of contagions
US20190295725A1 (en) * 2018-03-23 2019-09-26 Donnie R. Morrow, JR. Patient Tracking and Diagnosis System of Transmissible Disease
JP2019200503A (en) * 2018-05-15 2019-11-21 三菱電機ビルテクノサービス株式会社 Admission control system and program
CN108986921A (en) * 2018-07-04 2018-12-11 泰康保险集团股份有限公司 Disease forecasting method, apparatus, medium and electronic equipment
CN108695003A (en) * 2018-08-07 2018-10-23 中山市徕康医疗信息软件技术有限公司 A kind of cloud management system and method that fever epidemic situation monitors and traces to the source
CN109378079A (en) * 2018-09-27 2019-02-22 同济大学 A kind of system and method based on Cases for Fever Symptom Monitoring infectious disease

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111640515A (en) * 2020-05-26 2020-09-08 深圳市通用互联科技有限责任公司 Method and device for determining epidemic situation risk of region, computer equipment and storage medium
CN111833599A (en) * 2020-05-29 2020-10-27 广东岭南通股份有限公司 Close contact person early warning method and system for sudden public health safety event
CN111653358A (en) * 2020-05-29 2020-09-11 鹏城实验室 Infection risk assessment method, first terminal and computer storage medium
CN111667390A (en) * 2020-05-29 2020-09-15 软通动力信息技术有限公司 Epidemic prevention and control management system and method
CN113161003B (en) * 2020-05-31 2023-11-24 华南理工大学 System and method for tracking and registering activity track and contact of infectious disease patient
CN113161003A (en) * 2020-05-31 2021-07-23 华南理工大学 System and method for tracking and registering motion trail of infectious disease patient and contacter
CN111711676A (en) * 2020-06-04 2020-09-25 中国联合网络通信集团有限公司 Method for confirming indoor close contact person of infectious disease patient and server
CN111711676B (en) * 2020-06-04 2021-12-10 中国联合网络通信集团有限公司 Method for confirming indoor close contact person of infectious disease patient and server
CN111743522A (en) * 2020-06-15 2020-10-09 武汉理工大学 Intelligent terminal early warning system of epidemic situation prevention and control
CN111685744A (en) * 2020-06-17 2020-09-22 中祖建设安装工程有限公司 Health monitoring method and system for forbidden personnel
WO2021262096A1 (en) * 2020-06-22 2021-12-30 Nervotec Pte Ltd. An intelligent networked system for proactively monitoring and predicting various parameters in a defined environment
CN112268634A (en) * 2020-10-22 2021-01-26 北京小米移动软件有限公司 Temperature monitoring method and device and storage medium
CN112365996A (en) * 2020-11-10 2021-02-12 中科海微(北京)科技有限公司 Disease propagation prevention and control method and system
CN112866945A (en) * 2021-01-11 2021-05-28 成戍 Infectious disease prevention, control and traceability system based on sensor network and big data analysis
CN112998669A (en) * 2021-02-08 2021-06-22 深圳市沃特沃德信息有限公司 Intelligent device for health detection and intelligent watch for health detection
CN113066581A (en) * 2021-03-24 2021-07-02 深圳市沃特沃德信息有限公司 Health detection method and device based on intelligent wearable device and computer device
CN113729643A (en) * 2021-06-29 2021-12-03 暨南大学 Infectious disease prevention and control method, device and system based on health monitoring and track monitoring

Similar Documents

Publication Publication Date Title
CN111063450A (en) Epidemic suspected person screening method and system based on wearable body temperature sensor
CN108717678B (en) Wisdom endowment system
CN103093106B (en) The infectious disease symptoms monitoring index system method of multi-source data in large-scale activity
CN102551676B (en) Personal health monitoring system
CN103605911A (en) Intelligent community health care system control method based on Internet of things
Yue et al. Fusing location data for depression prediction
CN104257364A (en) Health cloud intelligent service platform based remote monitoring wrist positioner
CN111163110A (en) Body temperature centralized monitoring system based on wearable body temperature sensor
CN103955174A (en) Building health monitoring system based on building information model technology
CN110349372B (en) Method and device for early warning abnormal activities of family aged care personnel
CN110926655A (en) Epidemic situation monitoring method and system based on wearable body temperature sensor
Ennafiri et al. Internet of things for smart healthcare: a review on a potential IOT based system and technologies to control COVID-19 pandemic
CN107025797A (en) A kind of bad weather road conditions automatic early-warning system
CN110926656A (en) Epidemic situation monitoring method and system based on wearable body temperature sensor
CN112423225A (en) UWB technology-based method for positioning target object in railway passenger station
CN113729643A (en) Infectious disease prevention and control method, device and system based on health monitoring and track monitoring
CN113057606A (en) Intelligent old-age-care health monitoring system based on Internet of things
CN112932418A (en) Multifunctional fusion method and system for vital sign monitoring and position positioning
CN114693053A (en) AI intelligent analysis and detection-based risk assessment and risk early warning system and method
WO2022033442A1 (en) Cloud technology-based intelligent multi-channel disease diagnostic system and method
Bae et al. A mobile data analysis framework for environmental health decision support
Zhang et al. Digital twin perception and modeling method for feeding behavior of dairy cows
Chang et al. An application of sensor networks for syndromic surveillance
CN117174332A (en) Infectious disease monitoring and early warning system and method based on multi-source data
CN111374651A (en) Novel wisdom endowment system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination