CN114496217A - Health detection method, device, equipment and medium - Google Patents
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Abstract
The application relates to a health detection method, a health detection device, health detection equipment and a health detection medium, which are applied to an intelligent door lock, wherein the detection method comprises the following steps: acquiring thermal imaging data of a target user under the condition that the target user is detected to trigger target operation; generating a thermal imaging profile of the target user using the thermal imaging data; and analyzing the thermal imaging spectrum by using a preset health information analysis library to determine the health state of the target user. This application can carry out thermal imaging scanning to the user and generate the health detection report through increase thermal imaging scanning function in intelligent lock when the user unblanks for the user can in time know own health status.
Description
Technical Field
The application relates to the technical field of smart home, in particular to a health detection method, a health detection device, health detection equipment and a health detection medium.
Background
Along with the development of science and technology, intelligent house also gradually appears in the middle of people's daily life, compares in traditional lock, and intelligent lock obtains very big promotion on the theftproof performance, but the intelligent lock of present family mostly only has the function of automatic locking or unblock, or lock linkage function, only provides the basic precaution that closes the door, open the door, that is to say that the function singleness that present intelligent lock can realize, can't satisfy the demand of user's high quality life gradually.
Aiming at the problem that the current intelligent door lock can achieve single function and gradually cannot meet the requirement of high-quality life of a user, an effective solution is not provided at present.
Disclosure of Invention
The application provides a health detection method, a health detection device, health detection equipment and a health detection medium, and aims to solve the technical problem that the existing intelligent door lock can achieve single function and gradually cannot meet the requirement of high-quality life of a user.
According to an aspect of an embodiment of the present application, there is provided a health detection method applied to an intelligent door lock, including: acquiring thermal imaging data of a target user under the condition that the target user is detected to trigger target operation; generating a thermal imaging profile of the target user using the thermal imaging data; and analyzing the thermal imaging spectrum by using a preset health information analysis library to determine the health state of the target user.
Optionally, before acquiring thermal imaging data of the target user, the method further comprises detecting whether the target user triggers the target operation as follows: under the condition that the input of the biological characteristics is detected, the biological characteristics are matched with preset characteristics in a preset characteristic library to obtain a matching result; and under the condition that the matching result shows that the preset features coincident with the biological features exist, determining a target user corresponding to the preset features from the multiple users, and determining that the target user triggers target operation.
Optionally, before matching the biometric features with preset features in a preset feature library, the method further includes generating the preset feature library in the following manner: acquiring user data input by a user, wherein the user data comprises user information of at least one user; and acquiring target biological characteristics corresponding to the user data, and mapping and storing the user data with the corresponding relation and the target biological characteristics to obtain a preset characteristic library.
Optionally, acquiring thermal imaging data of the target user comprises: acquiring thermal radiation data of a target user, and decomposing the thermal radiation data to obtain a thermal radiation signal; the thermal radiation signals are focused to obtain thermal imaging data.
Optionally, analyzing the thermal imaging profile using a preset health information analysis library to determine the health status of the target user includes: extracting target data of a thermal imaging atlas and extracting health data of a preset health information analysis library; and comparing the target data with the health data to determine the health state of the target user.
Optionally, comparing the target data with the health data to determine the health status of the target user includes: extracting target feature data in the target data and extracting health feature data in the health data, wherein the feature data comprise a first local name and a local temperature of a target user, and a second local name and a local temperature threshold of the health feature data; comparing the local temperature of the local name with the corresponding local temperature threshold of the second local name to obtain a comparison result; and determining the health state of the target user according to the comparison result.
Optionally, after determining the health status of the target user according to the comparison result, the method includes: generating a health detection report by using the health state; and sending the health detection report to a mobile terminal bound with the target user so that the mobile terminal displays the health detection report.
According to another aspect of the embodiments of the present application, the present application provides a health detection apparatus applied to an intelligent door lock, including: the acquisition module is used for acquiring thermal imaging data of a target user under the condition that the target user is detected to trigger target operation; a generation module for generating a thermography profile of the target user using the thermography data; and the determining module is used for analyzing the thermal imaging atlas by utilizing a preset health information analysis library so as to determine the health state of the target user.
According to another aspect of the embodiments of the present application, there is provided an electronic device, including a memory, a processor, a communication interface, and a communication bus, where the memory stores a computer program executable on the processor, and the memory and the processor communicate with each other through the communication bus and the communication interface, and the processor implements the steps of the method when executing the computer program.
According to another aspect of embodiments of the present application, there is also provided a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the above-mentioned method.
Compared with the related art, the technical scheme provided by the embodiment of the application has the following advantages:
the application provides a health detection method, is applied to intelligent lock, includes: acquiring thermal imaging data of a target user under the condition that the target user is detected to trigger target operation; generating a thermal imaging profile of the target user using the thermal imaging data; and analyzing the thermal imaging spectrum by using a preset health information analysis library to determine the health state of the target user. This application can carry out thermal imaging scanning to the user and generate the health detection report through increase thermal imaging scanning function in intelligent lock when the user unblanks for the user can in time know own health status.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the technical solutions in the embodiments or related technologies of the present application, the drawings needed to be used in the description of the embodiments or related technologies will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without any creative effort.
Fig. 1 is a flowchart of an alternative health detection method applied to an intelligent door lock according to an embodiment of the present application;
FIG. 2 is a display diagram of an alternative user information entry page provided in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram of an alternative health detection report provided in accordance with an embodiment of the present application;
FIG. 4 is a block diagram of an alternative health detection device applied to an intelligent door lock according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an alternative electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
First, partial nouns or terms appearing in the description of the embodiments of the present application are applicable to the following explanations:
the thermal imaging technology detects infrared energy (heat) in a non-contact manner, converts the infrared energy into an electric signal, generates a thermal image and a temperature value on a display, and can calculate the temperature value. The functions of thermal imaging include: the kit comprises a prompting device, a prompting device and a control device, wherein the prompting device is used for prompting inflammation, early warning of tumors, prompting of peripheral nerve diseases, analyzing other difficult and complicated diseases, tracking curative effect and the like.
In the related art, most of intelligent door locks only have the function of automatic locking or unlocking or the door lock linkage function, and only provide the basic precaution effect of closing and opening the door, that is to say, the function that the current intelligent door lock can realize is single, and the requirements of users on high-quality life can not be met gradually.
In order to solve the problems mentioned in the background art, according to an aspect of the embodiments of the present application, as shown in fig. 1, there is provided a health detection method applied to an intelligent door lock, including:
and step 13, analyzing the thermal imaging atlas by using a preset health information analysis library so as to determine the health state of the target user.
Optionally, the detection range in the embodiment of the present application is a target user with relevant information pre-entered, that is, for other users who are not the target user, health detection is not started, where the target user includes a member of a family, a staff member in an office, or a student in a school, and the like.
Specifically, the thermal imaging atlas of the target user is generated by using the thermal imaging data, that is, invisible thermal imaging data sent by the target user is converted into a visible thermal imaging atlas, different colors of the thermal imaging atlas represent different temperatures of a measured target object, and the overall temperature distribution condition of the target user can be presented, so that the health state of the target object is determined.
The intelligent door lock that this application embodiment provided can scan and carry out health simulation analysis report display to family's personnel through thermal imaging, and the family member of being convenient for masters the health condition of self constantly, looks over the simple and easy health report of analysis through mobile terminal, and the doctor of also being convenient for simultaneously carries out deep analysis to daily analysis report and human thermal imaging view, improves the human health index.
As an alternative embodiment, before acquiring thermal imaging data of the target user, the method further comprises detecting whether the target user triggers the target operation as follows:
step 1, under the condition that the input of biological characteristics is detected, the biological characteristics are matched with preset characteristics in a preset characteristic library to obtain a matching result;
and 2, under the condition that the matching result shows that the preset features coincident with the biological features exist, determining a target user corresponding to the preset features from the multiple users, and determining that the target user triggers target operation.
Specifically, the biometric device in the embodiment of the present application includes physiological features inherent to a human body, such as a human face, a fingerprint, an iris, and the like, and the target operation correspondingly triggered according to the biometric feature of the user includes face recognition, fingerprint recognition, iris recognition, and the like.
Optionally, the biometric features are compared with preset features to determine whether the biometric features are matched, if so, identity authentication is obtained, and the user to which the biometric features belong is determined as the target user.
As an optional embodiment, before matching the biometric features with the preset features in the preset feature library, the method further includes generating the preset feature library in the following manner:
step 1, acquiring user data input by a user, wherein the user data comprises user information of at least one user;
and 2, acquiring target biological characteristics corresponding to the user data, and mapping and storing the user data with the corresponding relation and the target biological characteristics to obtain a preset characteristic library.
Specifically, before generating the preset feature library, the mobile terminal and the intelligent door lock need to be connected and paired. For example, firstly, a connection key is created by pressing the intelligent door lock for a long time, when the intelligent door lock prompts that the power supply is turned on (voice prompt or indicator light flashing prompt), the communication interface of the mobile terminal is opened to be connected with the intelligent door lock, when the connection is successful, the intelligent door lock prompts that the connection is successful (voice prompt or indicator light flashing prompt), and at the moment, the connection between the intelligent door lock and the mobile terminal is completed.
Optionally, the user data is basic information of at least one target user, and is used for distinguishing different users of the same preset feature library, where the basic information includes name, height, weight, age, gender, and the like.
Specifically, after user data of at least one user is acquired, target biological characteristics of corresponding users are input according to the user data, so that the user data of the same target user correspond to the target biological characteristics one by one, and the user data and the target biological characteristics are mapped and stored.
Alternatively, the user may enter the biometric through a smart door lock. After user data is recorded, the door lock can prompt a user to record a face through voice, at the moment, the user needs to record the face, and after the user records successfully, the user can prompt that the user records the face.
Alternatively, the user may enter the biometric directly through the mobile terminal.
Optionally, the user data and the biological characteristics of the user must be respectively and correspondingly entered, so that the unique corresponding relationship between the user and the biological characteristics is ensured. For example, the step of storing user Zhang III as the target user comprises: inputting user information of Zhang III, comprising: name "zhang san", sex "male", height "1.8 m", weight "70 KG", age "30 years"; after the user information of Zhang III of the user is input, entering a biological characteristic input page to input biological characteristics (such as human face) of Zhang III, and scanning and inputting human face characteristics by the Zhang III of the user through an intelligent door lock or scanning and inputting the human face characteristics by using a mobile terminal; and correspondingly storing the user data of Zhang III of the user and the face features, wherein the display content of the information entry interface is shown in FIG. 2, and the figure shows that the face entry of Zhang III of the user is completed.
The application regards the identification of biological characteristics as the precondition for detecting health, complex passwords need to be remembered, and things such as keys and smart cards need not to be carried with the user, so that the safety of the intelligent door lock is guaranteed, meanwhile, the detected health state of the user is guaranteed to be the health state of one user among a plurality of target users which are stored in advance, and the energy consumption caused by misdetection of non-target users is reduced.
As an alternative embodiment, acquiring thermal imaging data of the target user comprises: acquiring thermal radiation data of a target user, and decomposing the thermal radiation data to obtain a thermal radiation signal; the thermal radiation signals are focused to obtain thermal imaging data.
Alternatively, the target user is scanned by thermal imaging, and thermal radiation data of the target user is received using an infrared telescope, wherein the thermal radiation data may be presented in the form of an infrared radiation energy distribution image, which is then decomposed into thermal radiation signals in the form of digital signals.
Optionally, the thermal radiation signal is focused on an infrared detector, and the infrared detector and the image video system together amplify and convert the thermal radiation signal into a video signal to generate a thermal imaging map, so that the user can see the temperature distribution of the human body region of the user through the display.
As an alternative embodiment, the analyzing the thermal imaging profile by using the preset health information analysis library to determine the health status of the target user comprises: extracting target data of a thermal imaging atlas and extracting health data of a preset health information analysis library; and comparing the target data with the health data to determine the health state of the target user.
Alternatively, the thermographic profile enables a visual display of the temperature distribution of the human body.
Optionally, the preset information analysis library is a database obtained by combining the local normal temperature of the human body distribution with the existing medical parameters, and the human body imaging analysis can be performed through the preset information analysis library.
As an alternative embodiment, the step of comparing the target data with the health data to determine the health status of the target user comprises:
step 1, extracting target characteristic data in target data and extracting health characteristic data in health data, wherein the characteristic data comprise a first local name and a local temperature of a target user, and a second local name and a local temperature threshold of the health characteristic data;
step 2, comparing the local temperature of the local name with a corresponding local temperature threshold of a second local name to obtain a comparison result; and determining the health state of the target user according to the comparison result.
Specifically, since the temperatures of various parts of a normal human body are stable and special, and different temperatures have different thermal fields, when a certain part is diseased or abnormal, the blood flow therein changes, resulting in a change of the local temperature, so the embodiment of the present application compares the body local temperature of the target user with the standard threshold of the normal body local temperature.
Optionally, the target characteristic data in the target data and the health characteristic data in the health data are compared one by one, that is, the temperature of the same part in the target data and the health data is compared. For example, the first local name in the extracted target data is a neck region, the temperature of the neck region is 36.7 ℃, then the second local name in the extracted health data is also the neck region, the local temperature threshold is the temperature range of the neck of a normal human body (e.g., 36.6 ℃ to 36.9 ℃), and at this time, the temperature of the neck region of the target user is within the local temperature threshold, and the neck region can be preliminarily confirmed as a healthy state.
Optionally, the thermal imaging map may show local areas of a human body and distribution conditions of temperature, and the present application further provides a method for determining a health state directly using the thermal imaging map, wherein areas with yellow and yellow-green colors are cold areas, areas with orange and yellow colors are warm areas, areas with red and white colors are high-heat areas, areas with deep-violet red and light-violet red colors are low-heat areas, and areas with blue-violet and light-black colors are cold areas. For example: if the color displayed on the local part of the human body in the thermal imaging map is seriously red or white, the region is a high-heat region, which indicates that the target user has undifferentiated malignant tumor, acute inflammation, tissue liver hyperfunction, acute postoperative tissue repair reaction, obviously increased blood supply and the like; if the thermal imaging map shows that the local part of the human body presents dark or light purple red, the area is a low-heat area, which indicates high-grade malignant tumor, benign tumor, various chronic diseases, moderate tissue hyperplasia and the like; if the color of the local part of the human body is seriously orange or yellow, the area is a warm area, and the reduction of blood supply, mild tissue hyperplasia, mild reduction of tissue liver function and the like are indicated.
As an optional embodiment, after determining the health status of the target user according to the comparison result, the method includes: generating a health detection report by using the health state; and sending the health detection report to a mobile terminal bound with the target user so that the mobile terminal displays the health detection report.
Specifically, the local temperature of the local name of the target user is compared with the corresponding local temperature threshold of the second local name, and after a comparison result is obtained, a health detection report is generated.
Optionally, as shown in fig. 3, the generated health detection report includes basic information of the target user, a temperature display of the local area, a temperature analysis of the local area, and a comprehensive suggestion, wherein the comprehensive suggestion is a health prompt generated according to the analysis result of the local area, wherein the health prompt includes a diet that is emphasized and what fruits are recommended to eat better, and a serious condition directly prompts a suggestion of medical examination.
Optionally, the intelligent door lock of the present application may be connected to at least one mobile terminal, and bind the target user with the corresponding mobile terminal, and after the target user is detected, the intelligent door lock automatically sends the health detection report to the mobile terminal bound to the target user, so that the mobile terminal displays the health detection report, where one target user may bind to at least one mobile terminal, and one mobile terminal may also bind to at least one target user. For example, parents living in families may not use smart phones much, and then user information of the parents can be bound to mobile terminals of children, so that health detection reports of the parents are all sent to the mobile terminals of the children for display, and the children can monitor the physical states of the parents in time.
Optionally, the health detection report provides a recent health analysis report for the user, and the recent record can be checked, so that the overall health analysis can be conveniently performed, the user can follow up at any time, the physical health condition of the target user can be realized, and when major problems occur to the body, advance prevention and advance treatment can be performed in advance.
According to another aspect of the embodiments of the present application, as shown in fig. 4, there is provided a health detection apparatus applied to an intelligent door lock, including:
the acquisition module 41 is configured to acquire thermal imaging data of a target user when it is detected that the target user triggers a target operation;
a generation module 42 for generating a thermographic profile of the target user using the thermographic data;
and the determining module 43 is configured to analyze the thermal imaging atlas by using a preset health information analysis library to determine the health status of the target user.
It should be noted that the acquiring module 41 in this embodiment may be configured to execute step 11 in this embodiment, the generating module 42 in this embodiment may be configured to execute step 12 in this embodiment, and the determining module 43 in this embodiment may be configured to execute step 13 in this embodiment.
Optionally, the health detection device applied to the intelligent door lock further includes a detection module, configured to detect whether the target user triggers the target operation according to the following manner: under the condition that the input of the biological characteristics is detected, the biological characteristics are matched with preset characteristics in a preset characteristic library to obtain a matching result; and under the condition that the matching result shows that the preset features coincident with the biological features exist, determining a target user corresponding to the preset features from the multiple users, and determining that the target user triggers target operation.
Optionally, the detection module is further configured to generate a preset feature library in the following manner before matching the biometric features with preset features in the preset feature library: acquiring user data input by a user, wherein the user data comprises user information of at least one user; and acquiring target biological characteristics corresponding to the user data, and mapping and storing the user data with the corresponding relation and the target biological characteristics to obtain a preset characteristic library. Specifically, the acquisition module 41 is further configured to acquire thermal radiation data of the target user, and decompose the thermal radiation data to obtain a thermal radiation signal; the thermal radiation signals are focused to obtain thermal imaging data.
Specifically, the determining module 43 is further configured to extract target data of the thermal imaging spectrum, and extract health data of a preset health information analysis library; and comparing the target data with the health data to determine the health state of the target user.
Optionally, the determining module 43 is further configured to extract target feature data in the target data, and extract health feature data in the health data, where the feature data includes a first local name and a local temperature of the target user, and a second local name and a local temperature threshold of the health feature data; comparing the local temperature of the local name with the corresponding local temperature threshold of the second local name to obtain a comparison result; and determining the health state of the target user according to the comparison result.
Optionally, the health detection device applied to the intelligent door lock further comprises a sending module, configured to generate a health detection report by using the health status after determining the health status of the target user according to the comparison result; and sending the health detection report to a mobile terminal bound with the target user so that the mobile terminal displays the health detection report.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments.
According to another aspect of the embodiments of the present application, there is provided an electronic device, as shown in fig. 5, including a memory 51, a processor 52, a communication interface 53 and a communication bus 54, where the memory 51 stores a computer program that is executable on the processor 52, the memory 51 and the processor 52 communicate through the communication interface 53 and the communication bus 54, and the processor 52 implements the steps of the method when executing the computer program.
The memory and the processor in the electronic equipment are communicated with the communication interface through a communication bus. The communication bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
There is also provided, in accordance with yet another aspect of an embodiment of the present application, a computer-readable medium having non-volatile program code executable by a processor.
Optionally, in an embodiment of the present application, a computer readable medium is configured to store program code for the processor to perform the above steps.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
When the embodiments of the present application are specifically implemented, reference may be made to the above embodiments, and corresponding technical effects are achieved.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk. It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A health detection method is applied to an intelligent door lock and is characterized by comprising the following steps:
acquiring thermal imaging data of a target user under the condition that the target user is detected to trigger target operation;
generating a thermal imaging profile of the target user using the thermal imaging data;
and analyzing the thermal imaging spectrum by utilizing a preset health information analysis library to determine the health state of the target user.
2. The method of claim 1, wherein prior to said acquiring thermal imaging data of said target user, said method further comprises detecting whether said target user triggers said target operation as follows:
under the condition that the input of the biological characteristics is detected, the biological characteristics are matched with preset characteristics in a preset characteristic library to obtain a matching result;
and under the condition that the matching result shows that the preset features coincident with the biological features exist, determining the target user corresponding to the preset features from a plurality of users, and determining that the target user triggers the target operation.
3. The method of claim 2, wherein prior to matching the biometric characteristic to a preset characteristic in a preset characteristic library, the method further comprises generating the preset characteristic library by:
acquiring user data input by a user, wherein the user data comprises user information of at least one user;
and acquiring a target biological characteristic corresponding to the user data, and mapping and storing the user data with the corresponding relation and the target biological characteristic to obtain the preset characteristic library.
4. The method of claim 1, wherein the acquiring thermal imaging data of the target user comprises:
acquiring thermal radiation data of the target user, and decomposing the thermal radiation data to obtain a thermal radiation signal;
focusing the thermal radiation signals to obtain the thermal imaging data.
5. The method of claim 1, wherein the analyzing the thermographic profile using a preset health information analysis library to determine the health status of the target user comprises:
extracting target data of the thermal imaging map, and extracting health data of the preset health information analysis library;
comparing the target data with the health data to determine the health status of the target user.
6. The method of claim 5, wherein comparing the target data to the health data to determine the health status of the target user comprises:
extracting target feature data in the target data and extracting health feature data in the health data, wherein the feature data comprise a first local name and a local temperature of the target user, and the health feature data comprise a second local name and a local temperature threshold;
comparing the local temperature of the local name with the corresponding local temperature threshold of the second local name to obtain a comparison result;
and determining the health state of the target user according to the comparison result.
7. The method according to claim 6, wherein after determining the health status of the target user according to the comparison result, the method comprises:
generating a health detection report using the health status;
and sending the health detection report to a mobile terminal bound with the target user, so that the mobile terminal displays the health detection report.
8. The utility model provides a health detection device, is applied to intelligent lock, its characterized in that includes:
the acquisition module is used for acquiring thermal imaging data of a target user under the condition that the target user is detected to trigger target operation;
a generation module for generating a thermographic profile of the target user using the thermographic data;
and the determining module is used for analyzing the thermal imaging atlas by utilizing a preset health information analysis library so as to determine the health state of the target user.
9. An electronic device comprising a memory, a processor, a communication interface and a communication bus, wherein the memory stores a computer program operable on the processor, and the memory and the processor communicate via the communication bus and the communication interface, wherein the processor implements the steps of the method according to any of the claims 1 to 7 when executing the computer program.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210016004.3A CN114496217A (en) | 2022-01-07 | 2022-01-07 | Health detection method, device, equipment and medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210016004.3A CN114496217A (en) | 2022-01-07 | 2022-01-07 | Health detection method, device, equipment and medium |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107220495A (en) * | 2017-05-25 | 2017-09-29 | 上海为然环保科技有限公司 | A kind of health and fitness information analysis system based on medical imaging enhancement |
| CN111476930A (en) * | 2020-06-05 | 2020-07-31 | 广东科徕尼智能科技有限公司 | Multimode biological identification intelligence lock |
| CN113488078A (en) * | 2020-04-24 | 2021-10-08 | 海信集团有限公司 | Health state monitoring method and equipment |
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2022
- 2022-01-07 CN CN202210016004.3A patent/CN114496217A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107220495A (en) * | 2017-05-25 | 2017-09-29 | 上海为然环保科技有限公司 | A kind of health and fitness information analysis system based on medical imaging enhancement |
| CN113488078A (en) * | 2020-04-24 | 2021-10-08 | 海信集团有限公司 | Health state monitoring method and equipment |
| CN111476930A (en) * | 2020-06-05 | 2020-07-31 | 广东科徕尼智能科技有限公司 | Multimode biological identification intelligence lock |
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