CN115116620A - Epidemic prevention sampling control method, background server and mobile terminal - Google Patents
Epidemic prevention sampling control method, background server and mobile terminal Download PDFInfo
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
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Abstract
The invention relates to an epidemic prevention sampling control method, a background server and a mobile terminal, wherein the epidemic prevention sampling control method comprises the following steps: acquiring user information from a mobile terminal of a user, and judging whether the user information is valid; when the user information is valid, acquiring detection object information from the mobile terminal, and judging whether the detection object information is valid; when the detected object information is effective, acquiring detection process information from the mobile terminal, and judging whether the detection process information meets a preset condition or not; and when the detection process information meets the preset conditions, obtaining detection result information, binding the detection result information with the corresponding user information, and sending the binding result information to the epidemic prevention mechanism platform so as to enable the epidemic prevention mechanism platform to generate epidemic situation monitoring information in real time. By implementing the technical scheme of the invention, the user can sample and detect at any time and any place, so that the large-scale crowd gathering can be avoided, and the probability of virus infection is reduced.
Description
Technical Field
The invention relates to the field of epidemic situation control, in particular to an epidemic prevention sampling control method, a background server and a mobile terminal.
Background
Most viral infectious diseases are of some infectivity.
The virus detection is particularly important, and at present, a person to be detected usually needs to arrive at a specified nucleic acid sampling point first, then carry out personal information input and swab sampling, then medical personnel send the sampling sample into a specific detection mechanism for detection, and finally return a detection result to a user and an epidemic situation prevention and control department. However, this method requires personnel to go to a specific location to collect the sample, which may cause a large-scale crowd gathering and increase the chance of virus infection.
Disclosure of Invention
The invention aims to solve the technical problem of providing an anti-epidemic sampling control method, a background server and a mobile terminal aiming at the defect that the prior art is likely to cause large-scale crowd gathering.
The technical scheme adopted by the invention for solving the technical problems is as follows: an anti-epidemic sampling control method is constructed, is applied to a background server, and comprises the following steps:
s11, acquiring user information from a mobile terminal of a user, and judging whether the user information is valid;
s12, when the user information is valid, acquiring detection object information from the mobile terminal, and judging whether the detection object information is valid;
s13, when the detected object information is effective, acquiring detection process information from the mobile terminal, and judging whether the detection process information meets a preset condition or not;
and S14, when the detection process information meets the preset conditions, obtaining detection result information, binding the detection result information with the corresponding user information, and sending the binding result information to the epidemic prevention mechanism platform so that the epidemic prevention mechanism platform can generate epidemic situation monitoring information in real time.
Preferably, when antigen detection is performed, the detection object comprises an antigen detection card, a sampling tube and a sampling swab, and corresponding identification information is respectively arranged on the antigen detection card and the sampling tube;
further, in step S14, the acquiring of the detection result information includes:
and acquiring detection result information from the mobile terminal.
Preferably, when nucleic acid detection is carried out, the detection object comprises a sampling tube and a sampling swab, and corresponding identification information is arranged on the sampling tube;
further, in step S14, the acquiring of the detection result information includes:
and acquiring detection result information from the virus detection mechanism platform.
Preferably, the step S11 includes:
s111, receiving login information of a user from a mobile terminal of the user, and acquiring user identity information according to the login information;
s112, receiving a user face image acquired by the mobile terminal, and determining face characteristics through image recognition;
step S113, judging whether the currently determined face features are matched with the currently acquired user identity information or not according to the pre-stored user identity information of a plurality of users and the face features associated with the users, and if so, determining that the user information is valid.
Preferably, the step S12 includes:
and when the user information is effective, receiving a detection object image acquired by the mobile terminal, determining the characteristics of the detection object through image recognition, judging whether the detection object is in an unused state according to the characteristics of the detection object, and if the detection object is in the unused state, determining that the detection object information is effective.
Preferably, the step S13 includes:
and when the detected object information is effective, receiving a plurality of detection action images of the user in the detection process, which are acquired by the mobile terminal, determining the action characteristics of each detection action image through image recognition, and judging whether the detection process information meets the preset conditions or not according to the action characteristics.
Preferably, the sampling swab is sequentially provided with an upper limit sampling position mark, a lower limit sampling position mark and a breaking mark;
in step S13, the determining, through image recognition, the motion feature of each detected motion image includes:
carrying out image recognition on the first detection action image to determine the upper limit sampling position identification and the lower limit sampling position identification;
and carrying out image recognition on the second detection action image to determine the breaking mark.
Preferably, the step S14 includes:
s141, when the detection process information meets the preset condition, receiving a detection result image and a user face image which are collected by the mobile terminal, and determining a detection result characteristic and a face characteristic through image recognition;
step S142, judging whether the face features determined in the step S141 are consistent with the user information acquired in the step S11;
and S143, when the detection result characteristics and the user information determined in the step S141 are consistent, the detection result characteristics and the user information are bound, and the detection result characteristics and the user information are sent to an epidemic prevention organization platform.
The invention also constructs an epidemic prevention sampling control method, which is applied to the mobile terminal and comprises the following steps:
s21, acquiring user information and sending the user information to a background server so that the background server can judge whether the user information is valid;
s22, when the user information is valid, acquiring detection object information, and sending the detection object information to the background server so that the background server judges whether the detection object information is valid;
and S23, when the detected object information is effective, acquiring detection process information and sending the detection process information to the background server so that the background server judges whether the detection process information meets preset conditions.
Preferably, when performing antigen detection, after step S23, the method further includes:
and S24, when the detection process information meets the preset conditions, obtaining detection result information and user information, binding the detection result information and the user information, and sending the detection result information and the user information to an epidemic prevention mechanism platform, so that the epidemic prevention mechanism platform generates epidemic situation monitoring information in real time.
Preferably, the acquiring the user information includes: acquiring a face image of a user in an image acquisition mode;
the acquiring of the detection object information includes: acquiring an image of a detected object in an image acquisition mode;
the acquiring of the detection process information includes: acquiring a plurality of detection action images of a user in a detection process in an image acquisition mode;
the acquiring of the detection result information and the user information includes: and acquiring a detection result image and a user face image in an image acquisition mode.
Preferably, the acquiring the user information includes: displaying a face acquisition frame, and acquiring a user face image in the face acquisition frame;
the acquiring of the detection object information includes: displaying a detection object acquisition frame, and acquiring a detection object image in the detection object acquisition frame;
the acquiring of the detection process information includes: displaying an action acquisition frame, and acquiring a plurality of detection action images in the action acquisition frame;
the acquiring of the detection result information and the user information includes: and displaying a result acquisition frame and a face acquisition frame, and acquiring a detection result image in the result acquisition frame and a user face image in the face acquisition frame.
The invention also constructs a backend server comprising a first processor which, when executing a stored computer program, implements the steps of the above-described anti-epidemic sampling management and control method.
The invention also constitutes a mobile terminal comprising a second processor implementing the steps of the above-described anti-epidemic sampling management and control method when executing a stored computer program.
According to the technical scheme provided by the invention, when a large-area crowd needs to be screened, a user to be detected can obtain a detection object through a purchasing or distributing mode, then, the user information, the detected object information, the detection process information and the like are sequentially sent to the background server through the mobile terminal of the background server, the background server sequentially judges whether the user information is valid, whether the detected object information is valid (whether the detected object information is used) and whether the detection process information meets the preset conditions (whether the detection process information meets the standards), and when the detection result information is valid or meets the preset condition, the detection result information corresponding to the detection is obtained, and finally the detection result information and the user information are bound and sent to the epidemic prevention organization platform, so that the epidemic situation monitoring information can be generated by the epidemic prevention organization platform in real time, therefore, for the personnel of the epidemic prevention organization, the epidemic situation can be known in real time, and people with abnormal detection results can be traced in time. In the mode, the user can carry out sampling detection at any time and any place without detecting to a specified place in a specified time period, so that the crowd can be prevented from gathering in a large range, and the probability of virus infection is reduced.
Drawings
In order to illustrate the embodiments of the invention more clearly, the drawings that are needed in the description of the embodiments will be briefly described below, it being apparent that the drawings in the following description are only some embodiments of the invention, and that other drawings may be derived from those drawings by a person skilled in the art without inventive effort. In the drawings:
FIG. 1 is a flow chart of a first embodiment of the method for controlling and managing an anti-epidemic sample according to the invention;
FIG. 2 is a schematic view of a sampling swab according to a first embodiment of the present invention;
FIG. 3 is a schematic structural view of a sampling integral package structure of the present invention;
FIG. 4 is a flow chart of a second embodiment of the method for controlling and managing an anti-epidemic sample.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Fig. 1 is a flowchart of a first embodiment of the epidemic prevention sampling control method according to the present invention, where the epidemic prevention sampling control method of the embodiment is applied to a background server and includes the following steps:
s11, acquiring user information from a mobile terminal of a user, and judging whether the user information is valid;
s12, when the user information is valid, acquiring detection object information from the mobile terminal, and judging whether the detection object information is valid;
s13, when the detected object information is effective, acquiring detection process information from the mobile terminal, and judging whether the detection process information meets a preset condition or not;
and S14, when the detection process information meets the preset conditions, obtaining detection result information, binding the detection result information with the corresponding user information, and sending the binding result information to the epidemic prevention mechanism platform so that the epidemic prevention mechanism platform can generate epidemic situation monitoring information in real time.
By the technical scheme of the embodiment, when a large-area crowd needs to be screened, a user to be detected can obtain a detection object through a purchasing or distributing mode, then, the user information, the detected object information, the detection process information and the like are sequentially sent to the background server through the mobile terminal of the background server, the background server sequentially judges whether the user information is valid, whether the detected object information is valid (whether the detected object information is used) and whether the detection process information meets the preset conditions (whether the detection process information meets the standards), and when the detection result information is valid or meets the preset condition, the detection result information corresponding to the detection is obtained, and finally the detection result information and the user information are bound and sent to the epidemic prevention organization platform, so that the epidemic situation monitoring information can be generated by the epidemic prevention organization platform in real time, thus, for the personnel of the epidemic prevention organization, the epidemic situation can be known in real time, and people with abnormal detection results can be traced in time. In the mode, the user can carry out sampling detection at any time and any place without detecting to a specified place in a specified time period, so that the crowd can be prevented from gathering in a large range, and the probability of virus infection is reduced.
In an alternative embodiment, the detection available to the user is antigen detection, the detection object includes an antigen detection card, a sampling tube, and a sampling swab, and the antigen detection card and the sampling tube are respectively provided with corresponding identification information, such as a two-dimensional code or a bar code. Also, step S14 may acquire the detection result information by: and acquiring detection result information from the mobile terminal.
In another alternative embodiment, where the user-accessible test is a nucleic acid test, the test object comprises a sample tube, a sample swab, and the sample tube has corresponding identifying information, such as a two-dimensional code or a bar code, disposed thereon. Also, step S14 may acquire the detection result information by: and acquiring detection result information from the virus detection mechanism platform. It should be noted here that, since the user has sent the user information and the detected object information to the background through the mobile terminal of the user during the sampling process, and the association relationship between the user information and the detected object information is established, after the background server obtains the detection result information (with the identification information of the sampling tube) from the virus detection mechanism platform, the detection result information and the user information can be bound according to the association relationship established during the sampling process. In this embodiment, after the user uses the sampling swab sampling, with the sampling head and the separation of sampling pole of sampling swab to put into the sample preserving fluid in the sampling tube with the sampling head and preserve, then seal and preserve, wait for detection mechanism personnel to retrieve to the door, generate the testing result information after detecting by detection mechanism, and send background server.
In an alternative embodiment, step S11 may specifically include:
s111, receiving login information of a user from a mobile terminal of the user, and acquiring user identity information according to the login information;
in this step, it should be noted that, in an embodiment, the login entry of the user may be a login interface of a dedicated APP/applet, for example, the user inputs user identity information such as a name and an identification number in the login interface of the APP. In another embodiment, the login entry of the user may also be a specific control in other APP/applets, for example, when the user triggers the control, the relevant user identity information may be called by one key.
S112, receiving a user face image acquired by the mobile terminal, and determining face characteristics through image recognition;
step S113, judging whether the currently determined face features are matched with the currently acquired user identity information or not according to the pre-stored user identity information of a plurality of users and the face features associated with the users, and if so, determining that the user information is valid.
In the embodiment, whether the user is a valid user is determined by comparing whether the face characteristics of the user are consistent with the identity information of the user when the user logs in, if the face characteristics of the user are consistent with the identity information of the user when the user logs in, the user is indicated to be a real and valid user, and the following steps can be carried out; if the two information are not consistent, the user may input wrong information or log in by impersonation, in this case, the terminal may be sent with a prompt message.
In an alternative embodiment, step S12 may specifically include: and when the user information is effective, receiving the detection object image acquired by the mobile terminal, determining the characteristics of the detection object through image identification, judging whether the detection object is in an unused state according to the characteristics of the detection object, and if the detection object is in the unused state, determining that the detection object information is effective.
It should be noted that, in this embodiment, if the user performs antigen detection, when it is determined that the user information is valid, the camera of the mobile terminal of the user may be used to respectively perform image shooting on the sampling tube and the antigen detection card, and then the identification information on the sampling tube and the antigen detection card may be determined through image recognition. Then comparing the identification with the identification of the sampling tube/antigen detection card in the historical detection information to determine whether the state of the sampling tube/antigen detection card is unused, if the identification of the sampling tube/antigen detection card is not found in the historical detection information, indicating that the sampling tube/antigen detection card is unused; otherwise, the sampling tube/antigen detection card is in a used state, and in this case, a prompt message should be sent to the mobile terminal of the user. In addition, the antigen detection card can also carry out image recognition on the dripping sample area and the result display area to judge whether the areas are blank, if not, the antigen detection card is indicated to be polluted or used and is in a state of being unusable, and at the moment, prompt information is sent to the mobile terminal of the user.
Similarly, if the user performs nucleic acid detection, when the user information is determined to be valid, the camera of his mobile terminal may be used to take an image of the sampling tube, and then the identification information on the sampling tube may be determined by image recognition. Then comparing the identifier with the identifier of the sampling pipe in the historical detection information to determine whether the state of the sampling pipe is unused, and if the identifier of the sampling pipe is not found in the historical detection information, indicating that the sampling pipe is unused; otherwise, the sampling tube is in a used state, and in this case, a prompt message should be sent to the mobile terminal of the user.
In an alternative embodiment, step S13 may specifically include: and when the detected object information is effective, receiving a plurality of detection action images of the user in the detection process, which are acquired by the mobile terminal, determining the action characteristics of each detection action image through image recognition, and judging whether the detection process information meets the preset conditions or not according to the action characteristics.
Further, the sampling swab is sequentially provided with an upper limit sampling position identifier, a lower limit sampling position identifier, and a fracture identifier, and the determining of the motion characteristics of each detection motion image through image recognition in step S13 may specifically include:
carrying out image recognition on the first detection action image to determine the upper limit sampling position identification and the lower limit sampling position identification;
and carrying out image recognition on the second detection action image to determine the breaking mark.
In this embodiment, several key actions in the user detection process (e.g., sampling with a sampling swab, breaking a sampling head of the sampling swab) may be collected and analyzed to determine whether the detection action is standard, specifically, during the user slowly inserts the sampling swab into the nostril or throat, a video stream of the process may be captured by a camera of the mobile terminal, and an upper limit sampling position identifier and a lower limit sampling position identifier of the sampling swab may be determined through image recognition, and, according to the relative positions of the upper limit sampling position identifier and the lower limit sampling position identifier and the nose/throat of the human body, whether the first detection action is standard may be determined, for example, if the identified upper limit sampling position identifier is outside the nose/throat of the human body and the identified lower limit sampling position identifier is inside the nose/throat of the human body, the action criteria is considered. After the sampling swab sampling is completed, the sampling head can be broken along the breaking mark, for the video stream collected in the process, the breaking mark of the sampling swab can be determined through image recognition, and whether the second detection action is standard or not can be determined according to the recognized breaking mark.
It should be noted that, in the antigen detection performed by the user, in addition to performing image acquisition, analysis and judgment on the above two detection operations (sampling by using the sampling swab and breaking the sampling head of the sampling swab), the method may further include performing image acquisition and analysis on a third detection operation (dropping the sample preservative solution in the sampling tube into the sample dropping area of the antigen detection card), and judging whether the detection operation is standard, that is, whether the sample preservative solution is dropped into the sample dropping area of the antigen detection card.
In one embodiment, in conjunction with the sampling swab shown in fig. 2, the sampling swab 20 includes a sampling rod 21, a sampling head 22 disposed on one end of the sampling rod 21, the sampling rod 21 is typically made of medical grade ABS plastic, and the sampling head 22 is a flocked nylon short fiber fluff structure. The sampling rod 21 is provided with a breaking mark 23, a first position mark 27, a second position mark 28 and a third position mark 29 at intervals in sequence from one end close to the sampling head 22 to the other end, and different marks can be provided with different colors, shapes and the like. Furthermore, an invalid sampling region 24 is formed between the first position indicator 27 and the sampling head 22, a first sampling region 25 is formed between the first position indicator 27 and the second position indicator 28, and a second sampling region 26 is formed between the second position indicator 28 and the third position indicator 29. The breaking mark 23 is used for allowing a user to break the sampling rod 21 along the breaking mark 23 after sampling by using the sampling swab 20 is completed, so that the sampling head 22 is separated and enters the sample preservation solution for preservation. The invalid sampling area 24, the first sampling area 25 and the second sampling area 26 are respectively used for judging whether each sampling action is standard or not in the sampling process of the user through image acquisition and analysis, specifically, if the invalid sampling area 24 is exposed out of the throat/nostril, the detection action is not standard, and further the detection result can be determined to be invalid; the first sampling region 25 corresponds to a user of a low age group (e.g., a child user under ten years old), when this type of user is sampling using the sampling swab 20, if both the first position mark 27 and the second position mark 28 are exposed outside the throat/nostril, the current detection action is not standard, and the detection result can be determined to be invalid, and the current detection action standard is considered only when the first position mark 27 is inside the throat/nostril and the second position mark 28 is outside the throat/nostril; the second sampling region 26 corresponds to a user of a higher age group (e.g., an adult user over ten years old), and when this type of user is sampling using the sampling swab 20, if both the second position marker 28 and the third position marker 29 are exposed outside the throat/nostril, the current detection action is not standard, and the detection result can be determined to be invalid, and the current detection action standard is considered only when the second position marker 28 is inside the throat/nostril and the third position marker 29 is outside the throat/nostril.
Further, referring to fig. 3, the test object may be a unitary sampling package structure including a packaging bag 10, a sampling swab 20 enclosed in the packaging bag 10, a sampling tube 30, and a cap 40. Wherein, the sample tube 30 is filled with a sample preserving fluid, and the sealing cover 40 is connected to one side of the sample tube 30 and can be turned over relative to the sample tube 30. The cover 40 is adapted to the opening of the sampling tube 30, so that after the opening of the sampling tube 30 is opened, the cover 40 is turned over relative to the sampling tube 30 and then covers the opening of the sampling tube 30, thereby closing the opening. The sampling swab 20 can be placed on the cover 40 in the package 10 with the sampling head 22 detachably received in the cover 40, sufficient to protect the sampling head 22 from the space within the cover 40. The sampling integrated packaging structure can prevent illegal persons from maliciously replacing the sampling swab in the sampling process.
In an alternative embodiment, step S14 may specifically include:
s141, when the detection process information meets the preset condition, receiving a detection result image and a user face image which are collected by the mobile terminal, and determining a detection result characteristic and a face characteristic through image recognition;
in this step, it should be noted that, if the user performs antigen detection, the image taken by the antigen detection card (with the two-dimensional code or the barcode) is used as a detection result image, and then the identification information and the detection result characteristics of the antigen detection card (whether the result display area of the antigen detection card is one line or two lines) can be determined through image recognition; if the user performs nucleic acid detection, an image of the sampling tube (with a two-dimensional code or a bar code) is taken as a detection result image, and then identification information of the sampling tube can be determined through image recognition. In addition, when a camera of the mobile terminal is used for collecting the detection result image, the face image of the user is collected, and the face characteristic is determined through image recognition.
Step S142, judging whether the face features determined in the step S141 are consistent with the user information acquired in the step S11;
and S143, if the detection result characteristics and the user information determined in the step S141 are consistent, the detection result characteristics and the user information are bound, and the detection result characteristics and the user information are sent to an epidemic prevention organization platform.
The invention also constructs a backend server comprising a first processor which, when executing a stored computer program, implements the steps of the above-described anti-epidemic sampling management and control method.
Fig. 4 is a flowchart of a second embodiment of the epidemic prevention sampling control method according to the present invention, and the epidemic prevention sampling control method according to this embodiment is applied to a mobile terminal, and includes the following steps:
s21, acquiring user information and sending the user information to a background server so that the background server can judge whether the user information is valid;
s22, when the user information is valid, acquiring detection object information, and sending the detection object information to the background server so that the background server judges whether the detection object information is valid;
and S23, when the detected object information is effective, acquiring detection process information and sending the detection process information to the background server so that the background server judges whether the detection process information meets preset conditions.
Further, in an optional embodiment, when performing antigen detection, after step S23, the method further includes:
and S24, when the detection process information meets the preset conditions, obtaining detection result information and user information, binding the detection result information and the user information, and sending the detection result information and the user information to an epidemic prevention mechanism platform, so that the epidemic prevention mechanism platform generates epidemic situation monitoring information in real time.
Further, in an optional embodiment, the acquiring the user information includes: acquiring a face image of a user in an image acquisition mode;
the acquiring of the detection object information includes: acquiring an image of a detected object in an image acquisition mode;
the acquiring of the detection process information includes: acquiring a plurality of detection action images of a user in a detection process in an image acquisition mode;
the acquiring of the detection result information and the user information includes: and acquiring a detection result image and a user face image in an image acquisition mode.
Further, in an alternative embodiment,
the acquiring of the user information includes: displaying a face acquisition frame, and acquiring a user face image in the face acquisition frame;
the acquiring of the detection object information includes: displaying a detection object acquisition frame, and acquiring a detection object image in the detection object acquisition frame;
the acquiring of the detection process information includes: displaying an action acquisition frame, and acquiring a plurality of detection action images in the action acquisition frame;
the acquiring of the detection result information and the user information includes: and displaying a result acquisition frame and a face acquisition frame, and acquiring a detection result image in the result acquisition frame and a user face image in the face acquisition frame.
In this embodiment, when the background server determines that the information is valid or meets the preset condition each time, the mobile terminal may display a corresponding image acquisition frame first to perform the next image acquisition, and the size and shape of the image acquisition frame may be adjusted according to actual needs, for example, when a face image needs to be acquired, the corresponding image acquisition frame is an acquisition frame of a face contour shape; when the image of the antigen detection card needs to be acquired, the corresponding image acquisition frame is a rectangle which is transversely arranged and has the length-width ratio consistent with that of the real antigen detection card. Of course, in other embodiments, while displaying the corresponding image capturing frame, a corresponding voice prompt may be issued, for example, please place a human face into the human face capturing frame; please put the antigen detection card into the detection card collection frame; please hold the sampling tube with both hands, and place the sampling tube into the sampling tube collection frame, and make the two-dimensional code of the sampling tube face forward, and so on.
The invention also constitutes a mobile terminal comprising a second processor implementing the steps of the above-described anti-epidemic sampling management and control method when executing a stored computer program.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (14)
1. An anti-epidemic sampling management and control method is applied to a background server and is characterized by comprising the following steps:
s11, acquiring user information from a mobile terminal of a user, and judging whether the user information is valid;
s12, when the user information is valid, acquiring detection object information from the mobile terminal, and judging whether the detection object information is valid;
s13, when the detected object information is effective, acquiring detection process information from the mobile terminal, and judging whether the detection process information meets a preset condition or not;
and S14, when the detection process information meets the preset conditions, obtaining detection result information, binding the detection result information with the corresponding user information, and sending the binding result information to the epidemic prevention mechanism platform so that the epidemic prevention mechanism platform can generate epidemic situation monitoring information in real time.
2. The method for controlling the antiepidemic sampling according to claim 1, wherein the detection object comprises an antigen detection card, a sampling tube and a sampling swab when performing antigen detection, and the antigen detection card and the sampling tube are respectively provided with corresponding identification information;
further, in step S14, the acquiring of the detection result information includes:
and acquiring detection result information from the mobile terminal.
3. The epidemic prevention sampling control method according to claim 1, wherein, in nucleic acid detection, the detection object comprises a sampling tube and a sampling swab, and the sampling tube is provided with corresponding identification information;
further, in step S14, the acquiring of the detection result information includes:
and acquiring detection result information from the virus detection mechanism platform.
4. The plague sampling control method according to any one of claims 1-3, wherein the step S11 comprises:
s111, receiving login information of a user from a mobile terminal of the user, and acquiring user identity information according to the login information;
s112, receiving a user face image acquired by the mobile terminal, and determining face characteristics through image recognition;
step S113, judging whether the currently determined face features are matched with the currently acquired user identity information or not according to the pre-stored user identity information of a plurality of users and the face features associated with the users, and if so, determining that the user information is valid.
5. The plague fighting sampling management method according to any one of claims 1 to 3, wherein said step S12 comprises:
and when the user information is effective, receiving a detection object image acquired by the mobile terminal, determining the characteristics of the detection object through image recognition, judging whether the detection object is in an unused state according to the characteristics of the detection object, and if the detection object is in the unused state, determining that the detection object information is effective.
6. The plague fighting sampling management method according to any one of claims 1 to 3, wherein said step S13 comprises:
and when the detected object information is effective, receiving a plurality of detection action images of the user in the detection process, which are acquired by the mobile terminal, determining the action characteristics of each detection action image through image recognition, and judging whether the detection process information meets the preset conditions or not according to the action characteristics.
7. The epidemic prevention sampling control method according to claim 6, wherein the sampling swab is sequentially provided with an upper limit sampling position mark, a lower limit sampling position mark and a breaking mark;
in step S13, the determining, by image recognition, the motion feature of each detected motion image includes:
carrying out image recognition on the first detection action image to determine the upper limit sampling position identification and the lower limit sampling position identification;
and carrying out image recognition on the second detection action image to determine the breaking mark.
8. The method for sampling and controlling immunity according to claim 2, wherein said step S14 includes:
s141, when the detection process information meets the preset condition, receiving a detection result image and a user face image which are collected by the mobile terminal, and determining a detection result characteristic and a face characteristic through image recognition;
step S142, judging whether the face features determined in the step S141 are consistent with the user information acquired in the step S11;
and S143, if the detection result characteristics and the user information determined in the step S141 are consistent, the detection result characteristics and the user information are bound, and the detection result characteristics and the user information are sent to an epidemic prevention organization platform.
9. An anti-epidemic sampling control method is applied to a mobile terminal, and is characterized by comprising the following steps:
s21, acquiring user information and sending the user information to a background server so that the background server can judge whether the user information is valid;
s22, when the user information is valid, acquiring detection object information, and sending the detection object information to the background server so that the background server judges whether the detection object information is valid;
and S23, when the detected object information is effective, acquiring detection process information and sending the detection process information to the background server so that the background server judges whether the detection process information meets preset conditions.
10. The method for controlling anti-epidemic sampling according to claim 9, wherein in the case of antigen detection, after step S23, the method further comprises:
and S24, when the detection process information meets the preset conditions, obtaining detection result information and user information, binding the detection result information and the user information, and sending the detection result information and the user information to an epidemic prevention mechanism platform, so that the epidemic prevention mechanism platform generates epidemic situation monitoring information in real time.
11. The method for controlling anti-epidemic sampling according to claim 10,
the acquiring of the user information includes: acquiring a face image of a user in an image acquisition mode;
the acquiring of the detection object information includes: acquiring an image of a detected object in an image acquisition mode;
the acquiring of the detection process information includes: acquiring a plurality of detection action images of a user in a detection process in an image acquisition mode;
the acquiring of the detection result information and the user information includes: and acquiring a detection result image and a user face image in an image acquisition mode.
12. The method for controlling anti-epidemic sampling according to claim 11, wherein,
the acquiring of the user information includes: displaying a face acquisition frame, and acquiring a user face image in the face acquisition frame;
the acquiring of the detection object information includes: displaying a detection object acquisition frame, and acquiring a detection object image in the detection object acquisition frame;
the acquiring detection process information includes: displaying an action acquisition frame, and acquiring a plurality of detection action images in the action acquisition frame;
the acquiring of the detection result information and the user information includes: and displaying a result acquisition frame and a face acquisition frame, and acquiring a detection result image in the result acquisition frame and a user face image in the face acquisition frame.
13. A backend server comprising a first processor, characterized in that the first processor, when executing a stored computer program, implements the steps of the anti-epidemic sampling management method of any one of claims 1-8.
14. A mobile terminal comprising a second processor, characterized in that the second processor, when executing a stored computer program, implements the steps of the anti-epidemic sample management method according to any one of claims 9-12.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115661728A (en) * | 2022-12-29 | 2023-01-31 | 北京正大创新医药有限公司 | Virus sampling in-place judgment method based on image recognition and virus sampling system |
| CN116308149A (en) * | 2023-03-02 | 2023-06-23 | 无锡市第五人民医院 | Convenient supervision and management method and system for high-sensitivity antigen detection |
-
2022
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115661728A (en) * | 2022-12-29 | 2023-01-31 | 北京正大创新医药有限公司 | Virus sampling in-place judgment method based on image recognition and virus sampling system |
| CN116308149A (en) * | 2023-03-02 | 2023-06-23 | 无锡市第五人民医院 | Convenient supervision and management method and system for high-sensitivity antigen detection |
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Inventor after: Zhu Xiaojun Inventor after: Ma Xiaojing Inventor before: Zhu Xiaojun |