Wearable 5G intelligent thermometer and intelligent body temperature monitoring system

Abstract

The invention discloses a wearable 5G intelligent thermometer and an intelligent body temperature monitoring system, and belongs to the technical field of body temperature monitoring. The wearable 5G intelligent thermometer comprises watchbands, the watchbands are movably installed on the left side and the right side of a body temperature monitoring host through installation shafts, a temperature sensing testing head is arranged at the bottom of the body temperature monitoring host, and the body temperature monitoring host is connected with a mobile terminal of a guardian through a 5G network. The problem that in the prior art, only the body temperature measuring function can be achieved, the body temperature of a user cannot be monitored and analyzed, and a guardian cannot be notified in time when the body temperature is abnormal is solved, the temperature sensing measuring head with faults can be eliminated, the temperature value measuring accuracy can be ensured, and the user experience is improved. The body temperature change can be quickly responded, a guardian can conveniently and remotely check and analyze the body temperature change, the law and trend of the body temperature change can be found, the accuracy of body temperature monitoring data is ensured, the overall condition of the body can be more comprehensively known, and the diagnosis accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of body temperature monitoring, and specifically to a wearable 5G smart thermometer and a body temperature intelligent monitoring system. Background Art

[0002] Body temperature is one of the important physiological indicators of the human body. Maintaining normal body temperature is a necessary condition for the body to carry out metabolism and normal life activities. Therefore, there is a strong demand for body temperature monitoring in both hospitals and homes. Existing thermometers, such as mercury thermometers, can only measure body temperature once within a certain period of time and cannot monitor body temperature in real time. Moreover, when measuring with a single-point measurement thermometer, the user needs to keep still as much as possible.

[0003] A Chinese patent with publication number CN208160611U discloses an intelligent wearable temperature monitoring device, whose structure includes a charging slot, a switch button, a display screen protection frame, a display screen, a temperature monitoring host, a temperature sensor, and a strap. The charging slot is embedded and installed on the left surface of the temperature monitoring host and is electrically connected through a wire. The charging wire is plugged into the charging slot, the rubber strap is put on the baby's wrist, and then the nylon hook strap and the nylon velvet strap are bonded, the chuck is inserted into the limit hole, the rotating shaft is rotated, and the rotating shaft drives the chuck to rotate, so that the chuck is not easy to separate from the limit hole, the fixer plays a fixing role, the temperature sensor senses the baby's temperature, and the temperature is displayed on the display screen in real time. The temperature monitoring host displays the baby's temperature in real time on the guardian's mobile phone. After the baby smart thermometer strap is fixed, the baby is not easy to grab it, which reduces the damage rate of the baby smart thermometer and has high practicality.

[0004] The above patent, in actual use, monitors body temperature through a body temperature monitoring host, which can only measure body temperature, but cannot monitor and analyze the user's body temperature, resulting in failure to notify the guardian in time when the body temperature is abnormal; therefore, it does not meet existing needs. In response to this, we propose a wearable 5G smart thermometer and a body temperature intelligent monitoring system. Summary of the invention

[0005] The purpose of the present invention is to provide a wearable 5G smart thermometer and a body temperature intelligent monitoring system, which can not only eliminate faulty temperature sensing test heads, but also ensure the accuracy of temperature value measurement, monitor the user's body temperature in real time, and transmit data through the 5G network, thereby ensuring the real-time and accuracy of data transmission, and being able to respond quickly to changes in body temperature. By judging and analyzing the measured body temperature values, it is helpful to discover the laws and trends of body temperature changes. By analyzing the user's body temperature in combination with the amount of exercise, it is possible to avoid an increase in the patient's body temperature caused by intense exercise, which in turn affects the judgment result, thereby ensuring the accuracy of the body temperature monitoring data. In combination with heart rate and blood pressure, a more comprehensive understanding of the overall condition of the body can be obtained, the accuracy of diagnosis can be improved, potential health problems can be discovered earlier, and the problems raised in the above-mentioned background technology can be solved.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a wearable 5G smart thermometer, comprising a strap, which is movably installed on the left and right sides of a temperature monitoring host through an installation axis, wherein a limit hole is provided on one side of the strap, and a limit card strip is provided on the other side of the strap, a temperature sensing test head for measuring the temperature of the user is provided at the bottom of the temperature monitoring host, a display screen, operation buttons and an alarm are provided on the temperature monitoring host, and the temperature monitoring host is connected to the guardian's mobile terminal through a 5G network.

[0007] Intelligent body temperature monitoring system, including: The information acquisition module is used to measure the user's daily body temperature value in real time using the temperature sensing test head and pre-process the measured body temperature value; The data analysis module is used to calculate and compare the average body temperature, the highest body temperature and the lowest body temperature, judge and analyze the measured body temperature values, and obtain the periodic change law and trend change information of the user's body temperature; Data analysis modules, including: A calculation module, used to calculate the average body temperature, the highest body temperature and the lowest body temperature measured by the three temperature sensing test heads and compare them; The judgment module is used to judge and analyze the body temperature values ​​measured by the three temperature sensing test heads to obtain the periodic change law and trend change information of the user's body temperature; In the judgment module, the body temperature values ​​measured by the three temperature sensing test heads are judged and analyzed to obtain the trend change information of the user's body temperature, including: A body temperature value determination unit, used to obtain a temperature acquisition time series, and determine the body temperature values ​​measured by the three temperature sensing test heads corresponding to each time unit according to the temperature acquisition time series; A first calculation unit is used to calculate the average body temperature measured by three temperature sensing test heads corresponding to each time unit; ; in, Indicates Each time unit corresponds to the average body temperature measured by three temperature sensing test heads; an ordinal value representing a unit of time, and ; Indicates Time unit The body temperature value measured by the temperature sensing test head; Indicates the serial number of the temperature sensing test head, and .

[0008] Furthermore, the information acquisition module includes: The three temperature sensing test heads at the bottom of the temperature monitoring host can be used to measure the user's daily temperature in real time; The body temperature values ​​measured by the three temperature sensing test heads are recorded according to the measurement time and the temperature sensing test heads corresponding to the body temperature values; The measured body temperature values ​​were preprocessed to exclude outliers, fill in missing values, and remove duplicate data.

[0009] Furthermore, the body temperature intelligent monitoring system also includes: The real-time monitoring module is used to detect abnormal body temperature values ​​in the body temperature values ​​by using the periodic change law and trend change information of the user's body temperature, and issue an early warning based on the detection results of the abnormal body temperature values; The sending module is used to amplify the received data and perform analog-to-digital conversion on the amplified temperature value and transmit the data to the guardian's mobile terminal through the 5G network; The visualization module is used to display the body temperature values ​​measured by the three temperature sensing test heads through the display screen.

[0010] Furthermore, in the judgment module, the body temperature values ​​measured by the three temperature sensing test heads are judged and analyzed to obtain the trend change information of the user's body temperature, and also includes: The second computing unit is configured to: Determine the temperature data sequence based on the average temperature measured by the three temperature sensing test heads corresponding to each time unit ; According to the temperature data series Calculate the slope value in a linear regression model ; ; in, Represents the slope value in the linear regression model; Indicates The time value corresponding to the time unit; represents the time mean; Represents a series of body temperature data The average value of The trend change information determination unit is used for: According to the slope value in the linear regression model Determine the trend change information of the user's body temperature, wherein: when , it is determined that the user's body temperature has an upward trend; when When , it is determined that the user's body temperature has a downward trend; when When , it is determined that the user's body temperature maintains the temperature trend.

[0011] Furthermore, the data analysis module includes: Calculate the average body temperature, the highest body temperature and the lowest body temperature measured by the three temperature sensing test heads respectively; Compare the calculated average body temperature, maximum body temperature and minimum body temperature of the three groups to determine whether there is any difference in the body temperature values ​​measured by the three temperature sensing test heads; If there is a difference, determine the temperature sensing test head corresponding to the body temperature value with the difference, and issue a fault warning to the temperature sensing test head; If there is no difference, a trend analysis is performed on the measured average body temperature, maximum body temperature and minimum body temperature to obtain the periodic change pattern and trend change information of the user's body temperature.

[0012] Furthermore, the real-time monitoring module includes: A detection module is used to detect abnormal body temperature values ​​in body temperature values ​​according to the periodic change law and trend change information of the user's body temperature, and to correlate and analyze the abnormal body temperature values ​​with the user's health data; The early warning module is used to issue corresponding early warning information according to the detection results of the detection module, and send the detection results and early warning information to the guardian's mobile terminal.

[0013] Furthermore, the real-time monitoring module specifically includes: Detect abnormal body temperature values ​​in body temperature values ​​according to the periodic change law and trend change information of the user's body temperature; Obtain the user's health data, including heart rate, blood pressure, and exercise volume, and obtain the time point corresponding to the abnormal body temperature value; The abnormal body temperature value is correlated with the user's health data to determine whether the user was exercising vigorously at the time when the temperature value was abnormal, and the user's heart rate and blood pressure data are combined to determine whether the user's health status is abnormal; If the user's body temperature is abnormal, the alarm on the temperature monitoring host will send a warning signal, and at the same time send the abnormal result and warning signal to the guardian's mobile terminal.

[0014] Furthermore, the sending module includes: A signal amplifier is used to receive data from the information acquisition module, the data analysis module and the real-time monitoring module, and amplify the received data; The data transmission module is used to perform analog-to-digital conversion on the amplified body temperature value and transmit the analog-to-digital converted data to the guardian's mobile terminal through the 5G network.

[0015] Furthermore, the information acquisition module includes: A data acquisition unit is used to acquire the body temperature values ​​of the user measured in real time by the temperature sensing test head, and to arrange the acquired body temperature values ​​in sequence based on a time series to obtain a body temperature sequence of the user; Health advice push unit, used to: Obtain the user's basic personal information and associate the basic personal information with the corresponding body temperature sequence; Determine the standard value interval corresponding to normal body temperature based on the health supervision protocol, and compare the obtained body temperature series with the standard value interval; When the value of the temperature sequence is determined to be within the standard value range based on the difference comparison result, daily health care suggestions are pushed to the user based on the association result of the basic personal information and the temperature sequence based on the preset health supervision strategy; When the value of the temperature sequence is not within the standard value range, the temperature abnormality type is determined based on the difference between the temperature sequence and the standard value range, and emergency response suggestions are pushed to the user based on the temperature abnormality type according to the preset health supervision strategy; Data integration and sharing unit for: At the same time, the monitored temperature sequence of the user is uploaded to the medical database while the recommendation is pushed, and personal medical record space is allocated to the user in the medical database; Based on the allocation results, the body temperature sequence uploaded to the medical database is transferred to the personal medical record space, and the body temperature sequence is divided into stages based on the transfer results, and the body temperature sequences in each stage are sequentially integrated; Based on the sequential integration results, the visitor range of the user's body temperature sequence is added in the medical database, and a permission authorization interaction mechanism is constructed based on the added results; Based on the sharing requirements, an access request is sent to the user according to the permission authorization interaction mechanism, and the user's body temperature sequence is accessed after authorization.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention can not only eliminate faulty temperature sensing test heads, but also ensure the accuracy of temperature value measurement, monitor the user's body temperature in real time, transmit data through the 5G network, ensure the real-time and accuracy of data transmission, and respond quickly to changes in body temperature. Through the functions of remote monitoring and data analysis, it is convenient for guardians to remotely view and analyze. By judging and analyzing the measured body temperature values, it is helpful to discover the laws and trends of body temperature changes. Analyzing the user's body temperature in combination with the amount of exercise can avoid the increase in the patient's body temperature caused by intense exercise, which in turn affects the judgment result, thereby ensuring the accuracy of body temperature monitoring data. Combined with heart rate and blood pressure, a more comprehensive understanding of the overall condition of the body can be achieved, the accuracy of diagnosis can be improved, and potential health problems can be discovered earlier.

[0017] 2. By obtaining the temperature collection time series, the body temperature values ​​measured by the three temperature sensing test heads corresponding to each time unit can be effectively determined based on the temperature collection time series, and then the average body temperature measured by the three temperature sensing test heads corresponding to each time unit can be accurately calculated, and then the body temperature data sequence can be obtained. The slope value in the linear regression model can be effectively calculated through the body temperature data sequence, and then the trend change information of the user's body temperature can be accurately realized, which improves the effectiveness and accuracy of obtaining trend change information, and then ensures the accurate operation of the intelligent temperature monitoring process.

[0018] 3. By arranging the temperature values ​​obtained by the temperature sensing test head in sequence, and associating the sequence arrangement results with the user's basic personal information, at the same time, determining the standard value range corresponding to normal body temperature according to the health supervision agreement, and comparing the difference between the obtained temperature sequence and the standard value range, it is possible to push suggestions to users according to different situations, thereby improving the practicality of temperature monitoring. Secondly, while pushing suggestions, the obtained temperature sequence is uploaded to the medical data, and personal medical record space is allocated to the user, so as to effectively record and save the user's temperature sequence, providing a reference for the user's health management. Finally, setting access rights for the user's temperature sequence is convenient for improving the user's data security. At the same time, when the demander accesses, authorization is performed to facilitate intuitive and effective viewing of the user's temperature sequence, thereby providing convenience for the user's health management. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a schematic diagram of the wearable 5G smart thermometer of the present invention; Figure 2 This is a schematic diagram of the bottom of the temperature monitoring host of the wearable 5G smart thermometer of the present invention; Figure 3 It is a module schematic diagram of the body temperature intelligent monitoring system of the present invention; Figure 4This is a flow chart of the intelligent body temperature monitoring system of the present invention.

[0020] In the figure: 1. Watch strap; 2. Display screen; 3. Body temperature monitoring host; 4. Temperature sensing test head; 5. Mobile terminal; 6. Limiting hole. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In order to solve the problem that the existing technology can only measure the body temperature through the body temperature monitoring host, but cannot monitor and analyze the user's body temperature, resulting in the inability to notify the guardian in time when the body temperature is abnormal, please refer to Figure 1-Figure 4 , this embodiment provides the following technical solutions: The wearable 5G smart thermometer includes a strap 1, which is movably installed on the left and right sides of a body temperature monitoring host 3 through an installation axis. A limit hole 6 is set on one side of the strap 1, and a limit card strip is set on the other side of the strap 1. The strap 1 is used to wear the body temperature monitoring host 3 on the wrist of the user. A temperature sensing test head 4 for measuring the temperature of the user is set at the bottom of the body temperature monitoring host 3. A display screen 2, operation buttons and an alarm are provided on the body temperature monitoring host 3. The body temperature monitoring host 3 is connected to the guardian's mobile terminal 5 through a 5G network.

[0023] The intelligent temperature monitoring system is used in wearable 5G smart thermometers, including: An information acquisition module is used to measure the user's daily body temperature value in real time using the temperature sensing test head 4, and pre-process the measured body temperature value; The data analysis module is used to calculate and compare the average body temperature, the highest body temperature and the lowest body temperature, judge and analyze the measured body temperature values, and obtain the periodic change law and trend change information of the user's body temperature; The real-time monitoring module is used to detect abnormal body temperature values ​​in the body temperature values ​​by using the periodic change law and trend change information of the user's body temperature, and issue an early warning based on the detection results of the abnormal body temperature values; The sending module is used to amplify the received data, perform analog-to-digital conversion on the amplified body temperature value, and transmit the data to the guardian's mobile terminal 5 through the 5G network. The 5G network is used for data transmission. The high bandwidth and low latency characteristics of the 5G network ensure the real-time and accuracy of data transmission, and can quickly respond to changes in body temperature; The visualization module is used to display the body temperature values ​​measured by the three temperature sensing test heads 4 through the display screen 2 respectively.

[0024] Information acquisition module, including: The three temperature sensing test heads 4 at the bottom of the temperature monitoring host 3 are used to measure the user's daily temperature value in real time; The body temperature values ​​measured by the three temperature sensing test heads 4 are recorded according to the measurement time and the temperature sensing test heads 4 corresponding to the temperature values; by ensuring that the data includes the measurement time and date information, the smart thermometer device can be used to automatically upload the data to a mobile phone or computer.

[0025] Pre-process the measured temperature values ​​to exclude outliers, fill in missing values, and remove duplicate data to ensure the accuracy and completeness of the data; regularly check the calibration status of the smart thermometer to ensure its accuracy.

[0026] Data analysis modules, including: A calculation module, used to calculate the average body temperature, the highest body temperature and the lowest body temperature measured by the three temperature sensing test heads 4 and compare them; The judgment module is used to judge and analyze the body temperature values ​​measured by the three temperature sensing test heads 4 to obtain the periodic change law and trend change information of the user's body temperature.

[0027] Data analysis modules, including: Calculate the average body temperature, the highest body temperature and the lowest body temperature measured by the three temperature sensing test heads 4 respectively, so as to have an intuitive understanding of the overall situation of the data; The calculated three groups of average body temperatures, maximum body temperatures and minimum body temperatures are compared to determine whether there is a difference in the body temperature values ​​measured by the three temperature sensing test heads 4; If there is a difference, determine the temperature sensing test head 4 corresponding to the body temperature value with the difference, and issue a fault warning to the temperature sensing test head 4; If there is no difference, a trend analysis is performed on the measured average body temperature, maximum body temperature and minimum body temperature to obtain the periodic change pattern and trend change information of the user's body temperature.

[0028] Real-time monitoring module, including: A detection module is used to detect abnormal body temperature values ​​in body temperature values ​​according to the periodic change law and trend change information of the user's body temperature, and to correlate and analyze the abnormal body temperature values ​​with the user's health data; The early warning module is used to issue corresponding early warning information according to the detection results of the detection module, and send the detection results and early warning information to the mobile terminal 5 of the guardian.

[0029] Real-time monitoring module, including: Detect abnormal temperature values ​​in the temperature values, such as sudden increase or decrease in temperature values, according to the periodic change law and trend change information of the user's body temperature; Obtain the user's health data, including heart rate, blood pressure, and exercise volume, and obtain the time point corresponding to the abnormal body temperature value; The abnormal body temperature value is correlated with the user's health data to determine whether the user was exercising vigorously at the time when the temperature value was abnormal, and the user's heart rate and blood pressure data are combined to determine whether the user's health status is abnormal; If the user's body temperature is abnormal, the alarm on the body temperature monitoring host 3 sends a warning signal, and at the same time sends the abnormal result and the warning signal to the guardian's mobile terminal 5.

[0030] Analyzing the user's body temperature in combination with the amount of exercise can avoid the patient's body temperature from rising due to intense exercise, which in turn affects the judgment result, and ensures the accuracy of the body temperature monitoring data. When monitoring body temperature, combining heart rate and blood pressure can provide a more comprehensive understanding of the overall condition of the body and improve the accuracy of diagnosis. For example, when the body temperature rises, if the heart rate and blood pressure increase at the same time, it may indicate that the body is dealing with an infection or inflammation. Some diseases may only manifest as slight changes in body temperature in the early stages, but combined with changes in other physiological parameters, potential health problems can be discovered earlier. For example, patients with cardiovascular disease may have signs such as abnormal heart rate and blood pressure fluctuations before the onset of the disease. Combined with body temperature monitoring, early warning can be provided. For patients with chronic diseases, combining multiple physiological parameters for abnormal temperature analysis can provide more scientific health management guidance. For example, diabetic patients can more accurately adjust their diet and medication dosage by monitoring indicators such as blood sugar, blood pressure and body temperature.

[0031] The sending module includes: A signal amplifier is used to receive data from the information acquisition module, the data analysis module and the real-time monitoring module, and amplify the received data; The data transmission module is used to perform analog-to-digital conversion on the amplified body temperature value, and transmit the analog-to-digital converted data to the guardian's mobile terminal 5 through the 5G network.

[0032] Working principle: When using the wearable 5G smart thermometer and body temperature intelligent monitoring system of the present invention, according to Figure 1-Figure 4 , including the following steps: Step 1: Wear the body temperature monitoring host 3 on the wrist of the user, and the three temperature sensing test heads 4 at the bottom of the body temperature monitoring host 3 measure the user's daily body temperature value in real time; Step 2: Record the body temperature values ​​measured by the three temperature sensing test heads 4 according to the measurement time and the temperature sensing test heads 4 corresponding to the body temperature values, and pre-process the measured body temperature values; Step 3: After the preprocessing is completed, the average body temperature, the highest body temperature and the lowest body temperature measured by the three temperature sensing test heads 4 are calculated and compared to determine whether the temperature sensing test head 4 has a fault; Step 4: judge and analyze the measured body temperature value to obtain the periodic change law and trend change information of the user's body temperature; Step 5: Detect abnormal body temperature values ​​in the body temperature values ​​by using the periodic change law and trend change information of the user's body temperature, determine whether the user is exercising vigorously at the time when the body temperature value is abnormal, and determine whether the user's health status is abnormal by combining the user's heart rate and blood pressure data, and issue an early warning based on the detection results of the abnormal body temperature value; Step 6: Issue corresponding warning information according to the detection result of the detection module, and send the detection result and warning information to the mobile terminal 5 of the guardian.

[0033] In summary, the wearable 5G intelligent thermometer and intelligent temperature monitoring system of the present invention measures the user's body temperature value by setting three temperature sensing test heads 4 and comparing the measured data, which can not only eliminate the faulty temperature sensing test heads 4, but also ensure the accuracy of temperature value measurement, monitor the user's body temperature in real time, and transmit data through the 5G network. It is convenient for guardians to view and analyze remotely, which is particularly important for groups that need to monitor body temperature for a long time, such as patients with chronic diseases, the elderly, and children. Three temperature sensing test heads 4 are used to measure body temperature values ​​to ensure high-precision body temperature measurement. The 5G network is used for data transmission. The high bandwidth and low latency characteristics of the 5G network ensure the real-time and accuracy of data transmission, and can quickly respond to changes in body temperature. Through the functions of remote monitoring and data analysis, it can help users better understand their health status, and it is also convenient for guardians to understand the health status of users in a timely manner. The measured body temperature values ​​are judged and analyzed to obtain the periodic change rules and trend change information of the user's body temperature, which is helpful to discover the rules and trends of body temperature changes and provide strong support for health management and disease prevention. The user's body temperature is analyzed in combination with the amount of exercise, which can avoid the increase of the patient's body temperature caused by intense exercise, thereby affecting the judgment result, ensuring the accuracy of the body temperature monitoring data. When performing body temperature monitoring, combined with heart rate and blood pressure, a more comprehensive understanding of the overall condition of the body can be obtained, the accuracy of diagnosis can be improved, and potential health problems can be discovered earlier.

[0034] In one embodiment, a body temperature intelligent monitoring system is provided, in which the judgment module judges and analyzes the body temperature values ​​measured by the three temperature sensing test heads 4 to obtain the trend change information of the user's body temperature, including: A body temperature value determination unit, used to obtain a temperature acquisition time series, and determine the body temperature values ​​measured by the three temperature sensing test heads 4 corresponding to each time unit according to the temperature acquisition time series; A first calculation unit is used to calculate the average value of body temperature measured by three temperature sensing test heads 4 corresponding to each time unit; ; in, Indicates Each time unit corresponds to the average body temperature measured by the three temperature sensing test heads 4; an ordinal value representing a unit of time, and ; Indicates Time unit The body temperature value measured by the temperature sensing test head 4; represents the serial number value of the temperature sensing test head 4, and ; The second computing unit is configured to: According to the average body temperature measured by the three temperature sensing test heads 4 corresponding to each time unit, the body temperature data sequence is determined ; According to the temperature data series Calculate the slope value in a linear regression model ; ; in, Represents the slope value in the linear regression model; Indicates The time value corresponding to the time unit; represents the time mean; Represents a series of body temperature data The average value of The trend change information determination unit is used for: According to the slope value in the linear regression model Determine the trend change information of the user's body temperature, wherein: when , it is determined that the user's body temperature has an upward trend; when When , it is determined that the user's body temperature has a downward trend; when When , it is determined that the user's body temperature maintains the temperature trend.

[0035] The working principle and beneficial effects of the above technical solution are: by obtaining the temperature acquisition time series, the body temperature values ​​measured by the three temperature sensing test heads corresponding to each time unit are effectively determined according to the temperature acquisition time series, and then the average body temperature measured by the three temperature sensing test heads corresponding to each time unit is accurately calculated, and then the body temperature data sequence is obtained. The slope value in the linear regression model is effectively calculated through the body temperature data sequence, and then the trend change information of the user's body temperature is accurately realized, which improves the effectiveness and accuracy of obtaining the trend change information, and then ensures the accurate operation of the intelligent temperature monitoring process.

[0036] In one embodiment, a body temperature intelligent monitoring system is provided, wherein the information acquisition module comprises: A data acquisition unit, used to acquire the body temperature values ​​of the user measured in real time by the temperature sensing test head 4, and to arrange the acquired body temperature values ​​in sequence based on a time series to obtain a body temperature sequence of the user; Health advice push unit, used to: Obtain the user's basic personal information and associate the basic personal information with the corresponding body temperature sequence; Determine the standard value interval corresponding to normal body temperature based on the health supervision protocol, and compare the obtained body temperature series with the standard value interval; When the value of the temperature sequence is determined to be within the standard value range based on the difference comparison result, daily health care suggestions are pushed to the user based on the association result of the basic personal information and the temperature sequence based on the preset health supervision strategy; When the value of the temperature sequence is not within the standard value range, the temperature abnormality type is determined based on the difference between the temperature sequence and the standard value range, and emergency response suggestions are pushed to the user based on the temperature abnormality type according to the preset health supervision strategy; Data integration and sharing unit for: At the same time, the monitored temperature sequence of the user is uploaded to the medical database while the recommendation is pushed, and personal medical record space is allocated to the user in the medical database; Based on the allocation results, the body temperature sequence uploaded to the medical database is transferred to the personal medical record space, and the body temperature sequence is divided into stages based on the transfer results, and the body temperature sequences in each stage are sequentially integrated; Based on the sequential integration results, the visitor range of the user's body temperature sequence is added in the medical database, and a permission authorization interaction mechanism is constructed based on the added results; Based on the sharing requirements, an access request is sent to the user according to the permission authorization interaction mechanism, and the user's body temperature sequence is accessed after authorization.

[0037] In this embodiment, the time series is a time point recorded in the order of time development, and the purpose is to sort the body temperature values ​​obtained at different time points according to the time series, that is, to obtain the body temperature sequence.

[0038] In this embodiment, the basic personal information refers to information such as the user's name, age, and gender.

[0039] In this embodiment, the health monitoring protocol refers to the ability to limit the corresponding body temperature value of the user under normal circumstances, that is, the corresponding standard value range.

[0040] In this embodiment, the preset health monitoring strategy is set in advance, representing a plan or strategy for providing daily health care advice to the user, for example, it may be to remind the user of the clothing condition according to the ambient temperature when the user's body temperature is normal.

[0041] In this embodiment, the abnormal body temperature type refers to whether the user's current body temperature is too high or too low.

[0042] In this embodiment, the emergency response suggestion refers to providing emergency suggestions to the user when the user's body temperature is abnormal, for example, when the user's body temperature is too high, pushing effective cooling methods to the user.

[0043] In this embodiment, the medical database is constructed in advance and is used to store the user's body temperature sequence.

[0044] In this embodiment, stage division refers to splitting the acquired real-time body temperature sequence of the user into sets corresponding to each day or month, in order to facilitate an intuitive and effective understanding of the user's body temperature condition.

[0045] In this embodiment, sequential integration refers to sorting and integrating the received body temperature sequences according to the monitoring order.

[0046] In this embodiment, the visitor range refers to the objects that visit the user's body temperature sequence, such as doctors and the user's family members.

[0047] In this embodiment, the permission authorization interaction mechanism is a mechanism for the requester to send a temperature sequence access request to the user and for the user to notify the requester of authorization.

[0048] The working principle and beneficial effects of the above technical solution are: by arranging the temperature values ​​obtained by the temperature sensing test head in sequence, and associating the sequence arrangement results with the user's basic personal information, at the same time, determining the standard value range corresponding to normal body temperature according to the health supervision agreement, and comparing the difference between the obtained temperature sequence and the standard value range, it is possible to push suggestions to users according to different situations, thereby improving the practicality of temperature monitoring. Secondly, while pushing suggestions, the obtained temperature sequence is uploaded to the medical data, and personal medical record space is allocated to the user, so as to effectively record and save the user's temperature sequence, providing a reference for the user's health management. Finally, setting access rights for the user's temperature sequence is convenient for improving the user's data security. At the same time, when the demander accesses, authorization is performed to facilitate intuitive and effective viewing of the user's temperature sequence, thereby providing convenience for the user's health management.

[0049] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0050] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A wearable 5G smart thermometer, comprising a strap (1), characterized in that: The strap (1) is movably mounted on the left and right sides of the body temperature monitoring host (3) via a mounting shaft, wherein a limit hole (6) is provided on one side of the strap (1), and a limit card strip is provided on the other side of the strap (1). A temperature sensing test head (4) for measuring the temperature of a user is provided at the bottom of the body temperature monitoring host (3), and a display screen (2), an operation button, and an alarm are provided on the body temperature monitoring host (3). The body temperature monitoring host (3) is connected to a guardian's mobile terminal (5) via a 5G network.

2. The body temperature intelligent monitoring system is used in the wearable 5G intelligent thermometer described in claim 3, characterized in that: include: An information acquisition module, used to measure the user's daily body temperature value in real time using a temperature sensing test head (4), and to pre-process the measured body temperature value; The data analysis module is used to calculate and compare the average body temperature, the highest body temperature and the lowest body temperature, judge and analyze the measured body temperature values, and obtain the periodic change law and trend change information of the user's body temperature; Data analysis modules, including: A calculation module, used to respectively calculate the average body temperature, the highest body temperature and the lowest body temperature measured by the three temperature sensing test heads (4) and compare them; A judgment module, used to judge and analyze the body temperature values ​​measured by the three temperature sensing test heads (4) to obtain the periodic change law and trend change information of the user's body temperature; In the judgment module, the body temperature values ​​measured by the three temperature sensing test heads (4) are judged and analyzed to obtain the trend change information of the user's body temperature, including: A body temperature value determination unit, used to obtain a temperature acquisition time series, and determine the body temperature values ​​measured by the three temperature sensing test heads (4) corresponding to each time unit according to the temperature acquisition time series; A first calculation unit, used for calculating the average value of body temperature measured by three temperature sensing test heads (4) corresponding to each time unit; ； in, Indicates Each time unit corresponds to the average body temperature measured by the three temperature sensing test heads (4); an ordinal value representing a unit of time, and ; Indicates Time unit The body temperature value measured by a temperature sensing test head (4); represents the serial number value of the temperature sensing test head (4), and .

3. The body temperature intelligent monitoring system according to claim 2, characterized in that: The information acquisition module comprises: The three temperature sensing test heads (4) at the bottom of the temperature monitoring host (3) are used to measure the user's daily temperature value in real time; Recording the body temperature values ​​measured by the three temperature sensing test heads (4) according to the measurement time and the temperature sensing test heads (4) corresponding to the body temperature values; The measured body temperature values ​​were preprocessed to exclude outliers, fill in missing values, and remove duplicate data.

4. The body temperature intelligent monitoring system according to claim 3, characterized in that: The body temperature intelligent monitoring system also includes: The real-time monitoring module is used to detect abnormal body temperature values ​​in the body temperature values ​​by using the periodic change law and trend change information of the user's body temperature, and issue an early warning based on the detection results of the abnormal body temperature values; A sending module, used to amplify the received data, perform analog-to-digital conversion on the amplified temperature value, and transmit the data to the guardian's mobile terminal (5) via a 5G network; The visualization module is used to display the body temperature values ​​measured by the three temperature sensing test heads (4) through the display screen (2).

5. The body temperature intelligent monitoring system according to claim 4, characterized in that: In the judgment module, the body temperature values ​​measured by the three temperature sensing test heads (4) are judged and analyzed to obtain the trend change information of the user's body temperature, and also includes: The second computing unit is configured to: Determine the temperature data sequence based on the average value of the body temperature measured by the three temperature sensing test heads (4) corresponding to each time unit ; According to the temperature data series Calculate the slope value in a linear regression model ; ； in, Represents the slope value in the linear regression model; Indicates The time value corresponding to the time unit; represents the time mean; Represents a series of body temperature data The average value of The trend change information determination unit is used for: According to the slope value in the linear regression model Determine the trend change information of the user's body temperature, wherein: when , it is determined that the user's body temperature has an upward trend; when When , it is determined that the user's body temperature has a downward trend; when When , it is determined that the user's body temperature maintains the temperature trend.

6. The body temperature intelligent monitoring system according to claim 5, characterized in that: The data analysis module comprises: Calculate the average body temperature, the highest body temperature and the lowest body temperature measured by the three temperature sensing test heads (4); The calculated three groups of average body temperatures, maximum body temperatures, and minimum body temperatures are compared to determine whether there is a difference in the body temperature values ​​measured by the three temperature sensing test heads (4); If there is a difference, determining the temperature sensing test head (4) corresponding to the body temperature value with the difference, and issuing a fault warning to the temperature sensing test head (4); If there is no difference, a trend analysis is performed on the measured average body temperature, maximum body temperature and minimum body temperature to obtain the periodic change pattern and trend change information of the user's body temperature.

7. The body temperature intelligent monitoring system according to claim 6, characterized in that: The real-time monitoring module comprises: A detection module is used to detect abnormal body temperature values ​​in body temperature values ​​according to the periodic change law and trend change information of the user's body temperature, and to correlate and analyze the abnormal body temperature values ​​with the user's health data; The early warning module is used to issue corresponding early warning information according to the detection result of the detection module, and send the detection result and the early warning information to the mobile terminal (5) of the guardian.

8. The body temperature intelligent monitoring system according to claim 7, characterized in that: The real-time monitoring module specifically includes: Detect abnormal body temperature values ​​in body temperature values ​​according to the periodic change law and trend change information of the user's body temperature; Obtain the user's health data, including heart rate, blood pressure, and exercise volume, and obtain the time point corresponding to the abnormal body temperature value; The abnormal body temperature value is correlated with the user's health data to determine whether the user was exercising vigorously at the time when the temperature value was abnormal, and the user's heart rate and blood pressure data are combined to determine whether the user's health status is abnormal; If the user's body temperature is abnormal, the alarm on the body temperature monitoring host (3) sends out a warning signal, and at the same time sends the abnormal result and the warning signal to the guardian's mobile terminal (5).

9. The body temperature intelligent monitoring system according to claim 8, characterized in that: The sending module comprises: A signal amplifier is used to receive data from the information acquisition module, the data analysis module and the real-time monitoring module, and amplify the received data; The data transmission module is used to perform analog-to-digital conversion on the amplified body temperature value, and transmit the analog-to-digital converted data to the guardian's mobile terminal (5) via the 5G network.

10. The body temperature intelligent monitoring system according to claim 9, characterized in that: The information acquisition module comprises: A data acquisition unit, used to acquire the body temperature values ​​of the user measured in real time by the temperature sensing test head (4), and to sequentially arrange the acquired body temperature values ​​based on a time series to obtain a body temperature sequence of the user; Health advice push unit, used to: Obtain the user's basic personal information and associate the basic personal information with the corresponding body temperature sequence; Determine the standard value interval corresponding to normal body temperature based on the health supervision protocol, and compare the obtained body temperature series with the standard value interval; When the value of the temperature sequence is determined to be within the standard value range based on the difference comparison result, daily health care suggestions are pushed to the user based on the association result of the basic personal information and the temperature sequence based on the preset health supervision strategy; When the value of the temperature sequence is not within the standard value range, the temperature abnormality type is determined based on the difference between the temperature sequence and the standard value range, and emergency response suggestions are pushed to the user based on the temperature abnormality type according to the preset health supervision strategy; Data integration and sharing unit for: At the same time, the monitored temperature sequence of the user is uploaded to the medical database while the recommendation is pushed, and personal medical record space is allocated to the user in the medical database; Based on the allocation result, the temperature sequence uploaded to the medical database is transferred to the personal medical record space, and the temperature sequence is divided into stages based on the transfer result, and the temperature sequence in each stage is sequentially integrated; Based on the sequential integration results, the visitor range of the user's body temperature sequence is added in the medical database, and a permission authorization interaction mechanism is constructed based on the added results; Based on the sharing requirements, an access request is sent to the user according to the permission authorization interaction mechanism, and the user's body temperature sequence is accessed after authorization.

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