An epidemic emergency response system and a response method thereof

Abstract

The application discloses an epidemic emergency response system and a response method thereof, and uploads antigen self-detection positive information and a test card photo displaying positive information to a cloud server through a mobile terminal, and after the positive information is confirmed through image intelligent identification, sends self-detection personnel personal basic information, positive information and positioning information to an epidemic prevention and control command department of a current location of the self-detection personnel for rapid follow-up and taking corresponding measures. The application realizes remote antigen self-detection positive information self-reporting, accurate positioning, rapid verification and positive case quantity grading and statistical collection, greatly saves manpower checking cost, avoids the lag caused by artificial step-by-step reporting and the risk of large-scale epidemic spreading, and greatly improves the epidemic prevention efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of epidemic emergency prevention and control safety, and more particularly, to an epidemic emergency response system and a response method thereof. BACKGROUND

[0002] Virus antigen detection is one of the main ways to judge whether a virus invades the human body in clinical practice. Antigen detection is fast and convenient to operate, and can be applied to early screening of virus infection to help discover infected personnel as soon as possible, which is more conducive to epidemic prevention and control. However, the current positive information processing flow of antigen self-detection mostly adopts a manual contact and processing mode, which has the problems of easy spread of epidemic through positive personnel going out to report, long intermediate reporting process leading to untimely epidemic prevention and control, and false reporting of positive information increasing the difficulty of staff investigation.

[0003] In order to automatically check positive personnel by combining self-reporting with antigen self-detection in the epidemic environment, a system needs to be developed to achieve the above-mentioned purpose. The system can transmit the information of antigen self-detection positive personnel to the epidemic prevention and control command department of the current location of the self-detection personnel in the first time, further reduce the risk of intermediate transmission, improve the efficiency of epidemic prevention and control, and also can real-time aggregate and report the number of antigen self-detection positive personnel of each jurisdiction to the epidemic prevention and control command department at each level. In the implementation process of the system, how to verify the reporting information of antigen self-detection and send the data information to the epidemic prevention and control command department is an urgent problem to be solved. SUMMARY

[0004] To solve at least one of the above technical problems, the present application provides an epidemic emergency response system and a response method thereof.

[0005] The first aspect of the present application provides an epidemic emergency response system, comprising a mobile terminal, a cloud server and a client.

[0006] The cloud server comprises a data storage and processing unit and an emergency response unit, wherein the emergency response unit comprises an emergency response module and an information positioning module.

[0007] The mobile terminal is used for collecting basic information of self-detection personnel and antigen self-detection positive information, including self-reporting antigen self-detection positive information and displaying the photo of the positive test card, and uploading the positive information of self-detection personnel and personal basic information to the data storage and processing unit of the cloud server.

[0008] The data storage and processing unit is used for self-detecting personnel basic information, storing antigen self-detection positive information, comparing and analyzing the test card image recognition result of the positive display with the self-reported positive information, storing the positioning information of the self-detection personnel called by the telecom operator, confirming the positive case by the current location epidemic prevention command department client of the self-detection personnel, collecting and counting the number of antigen positive cases in different levels and different regions, and updating the collected and counted data in real time;

[0009] The emergency response module is used for sending the collected self-detection personnel personal basic information and positive information to the current location epidemic prevention command department client of the self-detection personnel;

[0010] The information positioning module is used for sending the collected self-detection personnel positioning information to the current location epidemic prevention command department client of the self-detection personnel.

[0011] The client is used for receiving the preliminary inspection positive information by the current location epidemic prevention command department of the self-detection personnel, starting the epidemic emergency response, obtaining the nucleic acid detection information of the self-detection personnel, confirming the self-detection personnel as a positive case, and feeding back the positive confirmation information to the cloud server through the client.

[0012] In the scheme, the mobile terminal obtains the basic information of the self-detection personnel, specifically:

[0013] The access request information sent by the self-detection personnel in the mobile terminal is obtained, and the access request information carries a verification token and the identity information of the self-detection personnel;

[0014] According to the verification token, it is judged whether the self-detection personnel is verified;

[0015] If the verification is passed, the face recognition verification is performed according to the identity information of the self-detection personnel, and if the identity verification of the self-detection personnel is passed, the antigen self-detection positive information is filled in.

[0016] In the scheme, the data storage and processing unit compares and analyzes the test card image recognition result of the positive display with the self-reported positive information, specifically:

[0017] The test card image recognition result of the positive display is obtained, and the test card image recognition result of the positive display is compared and analyzed with the self-reported positive information;

[0018] If the test card image recognition result of the positive display is inconsistent with the self-reported positive information, feedback information is generated and sent to the mobile terminal to notify the user to verify the information;

[0019] If the test card image recognition result of the positive display is consistent with the self-reported positive information, the emergency response unit is started;

[0020] The emergency response unit sends the self-detection positive information, personal basic information and positioning information to the epidemic prevention and control command center client of the current location of the self-detection personnel. After the nucleic acid detection of the current location of the epidemic prevention and control command center confirms the positive case, the data storage and processing unit is started to statistically summarize the number of positive cases in stages, and is reported to the epidemic prevention and control command center at all levels in stages.

[0021] In the scheme, the self-detection personnel positioning information called from the telecom operator is stored, specifically:

[0022] The real-name information of the self-detection personnel is sent to the information positioning center of the telecom operator;

[0023] The telecom operator sends the accurate positioning information of the self-detection personnel to the cloud server data storage and processing unit;

[0024] The cloud server data storage and processing unit stores the positioning information of the self-detection personnel collected from the telecom operator.

[0025] In the scheme, the test card image recognition result of the display positive is obtained, specifically:

[0026] The test kit test card image information of the display positive uploaded by the self-detection personnel is obtained, the positive test card image information is preprocessed to obtain the region of interest of the positive test card image information, and the model information of the current positive test card is identified through the preprocessed test kit test card image information;

[0027] According to the model information of the current positive test card, the initial image information of the undetected test kit test card corresponding to the current positive test card is obtained. The component features of the RGB channels of the test card initial image information are calculated. The difference absolute value of the maximum pixel value and the minimum pixel value of the image in the RGB channels is taken as a reference value;

[0028] An image matrix of the region of interest is obtained, the pixel values of each point in the RGB channels are obtained according to the image matrix, the difference between the pixel values and the maximum pixel value and the minimum pixel value of the image in the RGB channels of the test kit test card initial image information is calculated, and the absolute values of the two difference values are summed to generate a color feature value;

[0029] It is judged whether the color feature value at any point in the RGB channels is less than the reference value. If it is less than, the pixel value of the point is assigned to 1, otherwise, the pixel point is assigned to 0, and a binary image is generated according to the judgment result;

[0030] The binary image information is compared with preset test kit test card positive image information for similarity judgment, if the similarity is greater than or equal to a preset similarity threshold, it is judged that the test card image information uploaded by the self-detection personnel is positive detection information, otherwise, it is judged that the test card image information uploaded by the self-detection personnel is not positive detection information.

[0031] In the scheme, the mobile terminal includes but is not limited to a webpage, a mobile phone APP, a WeChat applet, a public number, and an embedded mobile terminal of an existing health code in each region, including but not limited to a WeChat applet, a mobile phone APP, and a public number of an existing health code in each region.

[0032] The second aspect of the present application proposes a response method of an epidemic emergency response system, the epidemic emergency response system comprising a mobile terminal, a cloud server, and a client, characterized in that the response method comprises the following steps:

[0033] The mobile terminal acquires basic information of a self-detection personnel and antigen self-detection positive information, and uploads the information to the cloud server, wherein the antigen self-detection positive information includes self-reported antigen self-detection positive information and a positive test card photo;

[0034] After the cloud server data storage and processing unit receives the basic information of the self-detection personnel and the antigen self-detection positive information, the positive test card photo image recognition and the self-reported antigen self-detection positive information are verified, and the antigen self-detection positive information is stored, and the precise positioning information of the self-detection personnel from the information positioning center of a telecommunications operator is called according to the real-name information of the self-detection personnel, the positioning information is stored and sent to the cloud server emergency response unit;

[0035] After the cloud server emergency response unit acquires the antigen self-detection positive information, the basic information of the self-detection personnel, and the positioning information, the collected antigen self-detection positive information, the basic information of the self-detection personnel, and the positioning information are sent to the epidemic prevention and control command department client of the current location of the self-detection personnel;

[0036] After the client receives the self-detection personnel detection positive information, the personal basic information, and the positioning information provided by the cloud server emergency response unit, the epidemic prevention and control command department of the current location of the self-detection personnel starts the epidemic emergency response, acquires the nucleic acid detection information of the self-detection personnel, confirms the positive case, and feeds back the positive confirmation information to the cloud server through the client through the epidemic prevention and control command department client of the current location of the self-detection personnel;

[0037] The cloud server receives the positive case confirmed by the epidemic prevention and control command department of the current location of the self-detection personnel, aggregates and counts the number of antigen positive cases of different levels and different regions, and sends the aggregated data to the epidemic prevention and control command departments at all levels in real time.

[0038] In the scheme, the mobile terminal acquires the basic information of the self-detection personnel, specifically:

[0039] The access request information sent by the self-detection personnel at the terminal is acquired, and the access request information carries a verification token and the identity information of the self-detection personnel;

[0040] It is judged whether the self-detection personnel passes the verification according to the verification token;

[0041] If the verification is passed, face recognition verification is performed according to the identity information of the self-detection personnel, and if the identity verification of the self-detection personnel is passed, antigen self-detection positive information reporting is performed.

[0042] In the scheme, the cloud server data storage and processing unit compares and analyzes the positive test card image recognition result and the self-reported positive information, specifically:

[0043] The positive test card image recognition result is acquired, and the positive test card image recognition result is compared and analyzed with the self-reported positive information;

[0044] If the positive test card image recognition result and the self-reported positive information are inconsistent, feedback information is generated and sent to the mobile terminal to notify the user to verify the information;

[0045] If the positive test card image recognition result and the self-reported positive information are consistent, the cloud server emergency response unit is started;

[0046] The self-detection positive information, personal basic information and positioning information are sent to the epidemic prevention and control command department client of the current location of the self-detection personnel, and after the nucleic acid detection of the current location of the self-detection personnel confirms the positive case, the data storage and processing unit is started to aggregate and count the number of positive cases, and is reported to the epidemic prevention and control command departments at all levels.

[0047] In the scheme, the self-detection personnel positioning information stored from the telecom operator is specifically:

[0048] The real-name information of the self-detection personnel is sent to the information positioning center of the telecom operator;

[0049] The telecom operator sends the accurate positioning information of the self-detection personnel to the cloud server data storage and processing unit;

[0050] The cloud server data storage and processing unit stores self-detection personnel positioning information collected from a telecom operator.

[0051] In the scheme, the image recognition result is obtained, specifically:

[0052] The test kit test card image information uploaded by the self-detection personnel is obtained, the test kit test card image information is preprocessed, the region of interest of the test kit test card image information is obtained, and the model information of the current test kit test card is identified through the preprocessed test kit test card image information;

[0053] According to the model information of the current test kit test card, the initial image information of the undetected test kit test card is obtained, the component features of the RGB channels of the test kit test card initial image information are calculated, the difference absolute value between the maximum pixel value and the minimum pixel value of the image in the RGB channels is taken as the reference value;

[0054] An image matrix of the region of interest is obtained, the pixel values of each point in the RGB channels are obtained according to the image matrix, the difference between the pixel values and the maximum pixel value and the minimum pixel value of the image in the RGB channels of the test kit test card initial image information is calculated, and the absolute values of the two difference values are summed to generate a color feature value;

[0055] It is judged whether the color feature value at any point in the RGB channels is less than the reference value, if less than, the pixel value of the point is assigned as 1, otherwise, the pixel point is assigned as 0, and a binary image is generated according to the judgment result;

[0056] The binary image information and the preset test kit test card positive image information are compared for similarity, if the similarity is greater than or equal to the preset similarity threshold, it is judged that the test kit test card image information uploaded by the self-detection personnel is positive detection information, otherwise, it is judged that the test kit test card image information uploaded by the self-detection personnel is not positive detection information.

[0057] In the scheme, the mobile terminal includes but is not limited to a webpage, a mobile phone APP, a WeChat mini program, a public number, and an embedded mobile terminal of an existing health code in each region, including but not limited to a WeChat mini program, a mobile phone APP, and a public number of an existing health code in each region.

[0058] The application discloses an epidemic emergency response system and a response method thereof, and uploads antigen self-detection positive information and a test card photo showing positive information to a cloud server through a mobile terminal, and after the information is confirmed as positive through image intelligent identification, sends self-detection personnel personal information, positive information and positioning information to an epidemic prevention and control command department of a current location of the self-detection personnel for rapid follow-up and taking corresponding measures. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 A schematic diagram of the epidemic emergency response system is shown.

[0060] Figure 2 A hierarchical architecture diagram of the epidemic emergency response system is shown.

[0061] Figure 3 A response method flowchart of the epidemic emergency response system is shown. DETAILED DESCRIPTION

[0062] In order to more clearly understand the above-mentioned purposes, features and advantages of the application, the application will be further described in detail below in combination with the drawings and specific embodiments. It should be noted that the embodiments of the application and the features in the embodiments can be combined with each other without conflict.

[0063] In the following description, many specific details are set forth in order to provide a thorough understanding of the application, but the application can also be implemented in other ways different from those described herein, therefore, the protection scope of the application is not limited by the specific embodiments disclosed below.

[0064] Figure 1 A schematic diagram of the epidemic emergency response system is shown.

[0065] As Figure 1 shown, the first aspect of the application provides an epidemic emergency response system, comprising a mobile terminal 10, a cloud server 20 and a client 30.

[0066] The cloud server 20 comprises a data storage and processing unit 201 and an emergency response unit 202, wherein the emergency response unit 202 comprises an emergency response module 2021 and an information positioning module 2022.

[0067] The mobile terminal 10 is used to collect the basic information of the self-detection personnel and collect the antigen self-detection positive information, including the antigen self-detection positive information and the test kit test card photos reported by the self-detection personnel, and upload the positive information of the self-detection personnel and the personal basic information to the data storage and processing unit 201;

[0068] The data storage and processing unit 201 is used to store the basic information of the self-detection personnel and the antigen self-detection positive information, compare and analyze the test card image recognition result of the positive and the positive information reported by the self-detection personnel, store the positioning information of the self-detection personnel called from the telecom operator, after the positive case is confirmed by the self-detection personnel current location epidemic prevention command center client, the antigen positive case number of different levels and different regions is summarized and counted, and the summarized statistical data is updated in real time;

[0069] The emergency response module 2021 is used to send the collected personal basic information and positive information of the self-detection personnel to the self-detection personnel current location epidemic prevention command center client;

[0070] The information positioning module 2022 is used to send the collected positioning information of the self-detection personnel to the self-detection personnel current location epidemic prevention command center client.

[0071] The client 30 is used for the self-detection personnel current location epidemic prevention command center to receive the preliminary inspection positive information, start the epidemic emergency response, obtain the nucleic acid detection information of the self-detection personnel, and after confirming that the self-detection personnel is a positive case, the positive confirmation information is fed back to the cloud server 20 through the client.

[0072] It should be noted that the mobile terminal obtains the basic information of the self-detection personnel, specifically:

[0073] The access request information sent by the self-detection personnel in the mobile terminal is obtained, and the access request information carries a verification token and the identity information of the self-detection personnel; whether the self-detection personnel passes the verification is judged according to the verification token; if the verification is passed, the face recognition verification is performed according to the identity information of the self-detection personnel, and if the identity verification of the self-detection personnel is passed, the antigen self-detection positive information is filled in.

[0074] It should be noted that the data storage and processing unit compares and analyzes the test card image recognition result of the positive and the positive information reported by the self-detection personnel, specifically:

[0075] The test card image recognition result of the positive is obtained, and the test card image recognition result of the positive is compared and analyzed with the positive information reported by the self-detection personnel;

[0076] If the test card image recognition result showing positive is inconsistent with the self-reported positive information, feedback information is generated and sent to the mobile terminal to inform the user to verify the information;

[0077] If the test card image recognition result showing positive is consistent with the self-reported positive information, the emergency response unit is started;

[0078] The emergency response unit sends the self-detection positive information, personal basic information and positioning information to the current location of the self-detection personnel epidemic prevention command center client. After the nucleic acid detection of the current location of the epidemic prevention command center confirms the positive case, the data storage and processing unit is started to statistically summarize the number of positive cases by district (county)-city-province (autonomous region, municipality directly under the Central Government)-state, and report to the epidemic prevention command center at all levels. The hierarchical architecture diagram of the epidemic emergency response system of the present application is shown in Figure 2

[0079] It should be noted that the self-detection personnel positioning information called from the telecom operator is specifically: sending the real name information of the self-detection personnel to the telecom operator information positioning center; the telecom operator sends the accurate positioning information of the self-detection personnel to the cloud server data storage and processing unit; the cloud server data storage and processing unit stores the positioning information of the self-detection personnel collected from the telecom operator. Preferably, the positioning of the mobile terminal can be realized by the positioning of the telecom operator providing fixed telephone, mobile telephone and internet access communication services in China, including but not limited to China Mobile, China Telecom and China Unicom.

[0080] It should be noted that the image recognition result is specifically:

[0081] ​The image information of the test kit test card uploaded by the self-detection personnel is acquired, the test kit test card image information is preprocessed, the region of interest of the test kit test card image information is acquired, and the model information of the current test kit test card is identified through the preprocessed test kit test card image information; the initial image information of the undetected test kit test card corresponding to the model information of the current test kit test card is acquired, the component features of the RGB channels of the initial image information of the test kit test card are calculated, the absolute value of the difference between the maximum pixel value and the minimum pixel value of the image in the RGB channels is taken as a reference value; the image matrix of the region of interest is acquired, the pixel value of each point in the RGB channels is acquired according to the image matrix, the difference between the pixel value and the maximum pixel value and the minimum pixel value of the image in the RGB channels of the initial image information of the test kit test card is calculated, and the absolute values of the two differences are summed to generate a color feature value; it is judged whether the color feature value at any point in the RGB channels is less than the reference value, if less than, the pixel value of the point is assigned as 1, otherwise, the pixel point is assigned as 0, and a binary image is generated according to the judgment result; the binary image information is compared with the preset positive image information of the test kit test card to determine the similarity, which can be realized by calculating the Euclidean distance and the cosine similarity. If the similarity is greater than or equal to the preset similarity threshold, it is determined that the test kit test card image information uploaded by the self-detection personnel is positive detection information, otherwise, it is determined that the test kit test card image information uploaded by the self-detection personnel is not positive detection information.

[0082] Meanwhile, preferably, the cloud server further comprises an expert analysis module, in the case that the image recognition result is fuzzy, the test kit test card image information uploaded by the self-detection personnel is input into the expert analysis module for verification by artificial means, and the case that the image recognition result is fuzzy can be realized by presetting multiple similarity thresholds, when the similarity reaches the first similarity threshold but does not reach the second similarity threshold, the test kit test card image information uploaded by the self-detection personnel is determined as the case that the image recognition result is fuzzy.

[0083] It should be noted that the present application also includes constructing a detection kit information database, and the detection kit information database includes the test card parameter information of each model and specification of the detection kit on the market and the initial image information of each model of the detection kit test card when the detection is not detected, and the positive image information corresponding to the positive detection result of each model of the detection kit test card. When the detection kit test card image information uploaded by the self-detection personnel is obtained, the keyword information in the detection kit test card image information is obtained according to image recognition and the shape feature and the texture feature are extracted, the index label is generated through the keyword information and the shape feature, the index task is established according to the index label, the matching degree of the data in the detection kit information database and the index label is calculated, the detection kit test card information with the highest matching degree in the detection kit information database is obtained, the detection kit test card image information uploaded by the self-detection personnel is verified through the detection kit test card information, and meanwhile, the detection kit information database can update the data through the detection kit test card parameter information on the market.

[0084] It should be noted that the mobile terminal includes but is not limited to a webpage, a mobile phone APP, a WeChat applet, and can also be embedded into other WeChat applets, such as a health code query applet of each province and city, an APP, and a public number. For example, the function of a health code query applet of a certain province and city is expanded, an antigen self-detection abnormal reporting section is added, the identity information of the self-detection personnel is directly obtained by calling the real-name authentication information of the health code query applet, after the self-detection personnel fills in the information according to the requirements, the health code information of the self-detection personnel is operated to be yellow or red, the positioning information of the self-detection personnel is obtained according to the real-name authentication mobile phone number and the corresponding identity information of the self-detection personnel who logs in the health code query applet, and the positioning information of the self-detection personnel is sent to the epidemic prevention and control command department of the current location of the self-detection personnel through the health code query applet to confirm the epidemic situation.

[0085] Figure 3 A response method flow chart of an epidemic emergency response system of the present application is shown.

[0086] The second aspect of the present application proposes a response method of an epidemic emergency response system, the epidemic emergency response system comprising a mobile terminal, a cloud server and a client, characterized in that the response method comprises the following steps:

[0087] S302, the mobile terminal obtains the basic information of the self-detection personnel and the antigen self-detection positive information, and uploads the information to the cloud server, wherein the antigen self-detection positive information includes the self-reported antigen self-detection positive information and the positive test card photo;

[0088] S304, after the cloud server data storage and processing unit receives the self-detection personnel basic information and the antigen self-detection positive information, the positive test card image recognition result is compared and analyzed with the self-reported positive information, the antigen self-detection positive information is stored, the precise positioning information of the self-detection personnel is called from the information positioning center of the telecommunication operator according to the real-name information of the self-detection personnel, the positioning information is stored and sent to the cloud server emergency response unit;

[0089] S306, after the cloud server emergency response unit obtains the antigen self-detection positive information, the self-detection personnel basic information and the positioning information, the antigen self-detection positive information, the self-detection personnel basic information and the positioning information collected are sent to the epidemic prevention and control command center client of the current location of the self-detection personnel;

[0090] S308, after the client receives the self-detection personnel positive information, the personal basic information and the positioning information provided by the cloud server emergency response unit, the epidemic prevention and control command center of the current location of the self-detection personnel starts the epidemic emergency response, obtains the nucleic acid detection information of the self-detection personnel, confirms the positive case, and feeds back the positive confirmation information to the cloud server through the client through the epidemic prevention and control command center client of the current location of the self-detection personnel;

[0091] S310, after the cloud server receives the positive case confirmed by the epidemic prevention and control command center of the current location of the self-detection personnel, the antigen positive case numbers of different levels and different regions are summarized and counted, and the summarized data is sent to the epidemic prevention and control command center at all levels in real time.

[0092] It should be noted that the mobile terminal obtains the basic information of the self-detection personnel, specifically:

[0093] The access request information sent by the self-detection personnel in the terminal is obtained, the access request information carries a verification token and the identity information of the self-detection personnel; whether the self-detection personnel passes the verification is judged according to the verification token; if the verification is passed, the face recognition verification is carried out according to the identity information of the self-detection personnel, and the antigen self-detection positive information is filled in if the self-detection personnel identity verification is passed.

[0094] It should be noted that the data storage and processing unit compares and analyzes the positive test card image recognition result with the self-reported positive information, specifically:

[0095] The positive test card image recognition result is obtained, and the positive test card image recognition result is compared and analyzed with the self-reported positive information;

[0096] If the test card image recognition result showing positive is inconsistent with the self-reported positive information, feedback information is generated and sent to the mobile terminal to inform the user to verify the information;

[0097] If the test card image recognition result showing positive is consistent with the self-reported positive information, the emergency response unit is started;

[0098] The emergency response unit sends the self-detection positive information, personal basic information and positioning information to the current location of the self-detection personnel Epidemic Prevention and Control Command Client, and after the current location of the self-detection personnel Epidemic Prevention and Control Command Client confirms the positive case, the data storage and processing unit is started to collect and count the number of positive cases by district-county-city-province (autonomous region, municipality directly under the Central Government)-state, and report to the Epidemic Prevention and Control Command at all levels.

[0099] It should be noted that the self-detection personnel positioning information called from the telecom operator is specifically: sending the real name information of the self-detection personnel to the information positioning center of the telecom operator; the telecom operator sends the accurate positioning information of the self-detection personnel to the cloud server data storage and processing unit; the cloud server data storage and processing unit stores the positioning information of the self-detection personnel collected from the telecom operator. Preferably, the positioning of the mobile terminal can be realized by the positioning of the telecom operator providing fixed telephone, mobile telephone and Internet access communication services in China, including but not limited to China Mobile, China Telecom and China Unicom.

[0100] It should be noted that the image recognition result is specifically:

[0101] The image information of the test kit test card uploaded by the self-detection personnel is acquired, the test kit test card image information is preprocessed, the region of interest of the test kit test card image information is acquired, and the model information of the current test kit test card is identified through the preprocessed test kit test card image information; the initial image information of the undetected test kit test card corresponding to the model information of the current test kit test card is acquired, the component features of the RGB channels of the initial image information of the test kit test card are calculated, the absolute value of the difference between the maximum pixel value and the minimum pixel value of the image in the RGB channels is taken as a reference value; the image matrix of the region of interest is acquired, the pixel value of each point in the RGB channels is acquired according to the image matrix, the difference between the pixel value and the maximum pixel value and the minimum pixel value of the image in the RGB channels of the initial image information of the test kit test card is calculated, and the absolute values of the two differences are summed to generate a color feature value; it is judged whether the color feature value at any point in the RGB channels is less than the reference value, if less than, the pixel value of the point is assigned as 1, otherwise, the pixel point is assigned as 0, and a binary image is generated according to the judgment result; the binary image information is compared with the preset positive image information of the test kit test card to determine the similarity, which can be realized by calculating the Euclidean distance and the cosine similarity. If the similarity is greater than or equal to the preset similarity threshold, it is determined that the test kit test card image information uploaded by the self-detection personnel is positive detection information, otherwise, it is determined that the test kit test card image information uploaded by the self-detection personnel is not positive detection information.

[0102] Meanwhile, preferably, the cloud server further comprises an expert analysis module, in the case that the image recognition result is fuzzy, the test kit test card image information uploaded by the self-detection personnel is input into the expert analysis module for verification by artificial means, and the case that the image recognition result is fuzzy can be realized by presetting multiple similarity thresholds, when the similarity reaches the first similarity threshold but does not reach the second similarity threshold, the test kit test card image information uploaded by the self-detection personnel is determined as the case that the image recognition result is fuzzy.

[0103] It should be noted that the application also includes constructing a detection kit information database, the detection kit information database including the detection kit test card parameter information of each model and specification currently on the market and the initial image information of each model detection kit test card when not detected, and the positive image information corresponding to the positive detection result of each model detection kit test card. When the detection kit test card image information uploaded by the self-detection personnel is obtained, the keyword information in the detection kit test card image information is obtained according to image recognition and the shape feature and texture feature are extracted, the index label is generated through the keyword information and the shape feature, the index task is established according to the index label, the matching degree of the data in the detection kit information database and the index label is calculated, the detection kit test card information with the highest matching degree in the detection kit information database is obtained, the detection kit test card image information uploaded by the self-detection personnel is verified through the detection kit test card information, and meanwhile, the detection kit information database can update the data through the detection kit test card parameter information on the market.

[0104] It should be noted that the mobile terminal includes but is not limited to a webpage, a mobile phone APP, a WeChat applet, and can also be embedded into other WeChat applets, such as a health code query applet of each province and city, an APP, and a public number. For example, the function of a health code query applet of a certain province and city is expanded, an antigen self-detection abnormality reporting section is added, the identity information of the self-detection personnel is directly obtained by calling the real-name authentication information of the health code query applet, after the self-detection personnel fills in the report according to the requirements, the health code information of the self-detection personnel is operated to be yellow or red, the positioning information of the self-detection personnel is obtained according to the real-name authentication mobile phone number information and the corresponding identity information of the self-detection personnel who logs in the health code query applet, and the positioning information of the self-detection personnel is sent to the epidemic prevention command department of the current location of the self-detection personnel through the health code query applet to confirm the epidemic situation.

[0105] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, another division mode can be used, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed components can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0106] The units described as separate components above can or can not be physically separate, and the components shown as units can or can not be physical units; they can be located in one place or distributed on multiple network units; and part or all of the units can be selected according to actual needs to achieve the purposes of the embodiments.

[0107] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0108] Those skilled in the art can understand that all or part of the steps of the above method embodiments can be completed by program instruction related hardware, and the foregoing program can be stored in a computer readable storage medium, and the program executes the steps including the above method embodiments when executed; and the foregoing storage medium includes mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic discs or optical discs, and various storage medium that can store program codes.

[0109] Alternatively, the integrated units of the present application, if implemented in the form of software functional modules and sold or used as independent products, can also be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products, and the computer software products are stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the methods described in the embodiments of the present application. The foregoing storage medium includes mobile storage devices, ROMs, RAMs, magnetic discs or optical discs, and various storage medium that can store program codes.

[0110] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An epidemic emergency response system, characterized in that it comprises a mobile terminal, a cloud server and a client; the cloud server comprises a data storage and processing unit and an emergency response unit, wherein the emergency response unit comprises an emergency response module and an information positioning module; the mobile terminal is used to collect basic information of self-detected personnel and antigen self-detection positive information, including self-reporting antigen self-detection positive information and displaying positive test card photos, and uploading the self-detection personnel positive information and personal basic information to the cloud server data storage and processing unit; the data storage and processing unit is used to store the basic information of self-detected personnel and antigen self-detection positive information, compare and analyze the identification results of the displayed positive test card images and the self-reported positive information, store the positioning information of self-detected personnel called from the telecom operator, after the positive case is confirmed by the client of the epidemic prevention and control command department of the current location of the self-detected personnel, the antigen positive case number of different levels and different regions is summarized and statistically analyzed, and the summarized statistical data is updated in real time; the emergency response module is used to send the collected personal basic information and positive information of self-detected personnel to the client of the epidemic prevention and control command department of the current location of the self-detected personnel; the information positioning module is used to send the collected positioning information of self-detected personnel to the client of the epidemic prevention and control command department of the current location of the self-detected personnel; the client is used for the epidemic prevention and control command department to receive the initial inspection positive information, start the epidemic emergency response, obtain the nucleic acid detection information of the self-detected personnel, confirm the positive case of the self-detected personnel, and feed back the positive confirmation information to the cloud server through the client; the displayed positive test card image identification result is analyzed, specifically: obtain the test kit displayed positive test card image information uploaded by the self-detected personnel, pre-process the positive test card image information, obtain the region of interest of the positive test card image information, and identify the model information of the current positive test card through the pre-processed test kit test card image information; obtain the initial image information of the corresponding undetected test kit test card according to the model information of the current positive test card, calculate the absolute value of the difference between the maximum pixel value and the minimum pixel value of the image in each channel of RGB as a reference value; obtain the image matrix of the region of interest, obtain the pixel value of each point in each channel of RGB according to the image matrix, calculate the difference between the pixel value and the maximum pixel value and the minimum pixel value of the image in each channel of RGB of the initial image information of the test kit test card, and sum the absolute values of the two differences to generate a color feature value; determine whether the color feature value at any point in each channel of RGB is less than the reference value, if less than, assign the pixel value of the point to 1, otherwise, assign the pixel value of the point to 0, and generate a binary image according to the determination result. The binary image information is compared with preset test kit test card positive image information for similarity judgment, if the similarity is greater than or equal to a preset similarity threshold, it is judged that the test card image information uploaded by the self-detection personnel is positive detection information, otherwise, it is judged that the test card image information uploaded by the self-detection personnel is not positive detection information; The cloud server also includes an expert analysis module, a first similarity threshold and a second similarity threshold are preset, when the similarity reaches the first similarity threshold but does not reach the second similarity threshold, the test kit test card image information uploaded by the self-detection personnel is determined to have a fuzzy image recognition result, and the test kit test card image information uploaded by the self-detection personnel is input to the expert analysis module for verification; A test kit information database is constructed, which includes the test kit test card parameter information of various models and specifications currently on the market, the initial image information of each model of test kit test card when not detected, and the positive image information corresponding to the positive detection result of each model of test kit test card; When the test kit test card image information uploaded by the self-detection personnel is obtained, the keyword information in the test kit test card image information is obtained according to image recognition, and the shape feature and texture feature are extracted; An index label is generated through the keyword information and shape feature, an index task is established according to the index label, the matching degree of the data in the test kit information database and the index label is calculated, and the test kit test card information with the highest matching degree in the test kit information database is obtained; The test kit test card information is obtained to verify the test kit test card image information uploaded by the self-detection personnel.

2. The pandemic emergency response system of claim 1, wherein, The mobile terminal obtains the basic information of the self-detection personnel, specifically: Access request information sent by the self-detection personnel on the mobile terminal is obtained, the access request information carries a verification token and the identity information of the self-detection personnel; It is judged whether the self-detection personnel passes the verification according to the verification token; If the verification is passed, face recognition verification is performed according to the identity information of the self-detection personnel, and if the self-detection personnel identity verification is passed, antigen self-detection positive information is filled in.

3. The pandemic emergency response system of claim 1, wherein, The display-positive test card image recognition result and the self-reported positive information are compared and analyzed by the data storage and processing unit, specifically: The display-positive test card image recognition result is obtained, and the display-positive test card image recognition result is compared and analyzed with the self-reported positive information; If the display-positive test card image recognition result and the self-reported positive information are inconsistent, feedback information is generated and sent to the mobile terminal to notify the user to verify the information; If the display-positive test card image recognition result and the self-reported positive information are consistent, an emergency response unit is started; The emergency response unit sends the self-detection positive information, personal basic information and positioning information to the epidemic prevention and control command center client of the current location of the self-detection personnel. After the nucleic acid detection of the epidemic prevention and control command center of the current location confirms the positive case, the data storage and processing unit is started, the number of positive cases is statistically summarized and reported to the epidemic prevention and control command center at different levels.

4. The pandemic emergency response system of claim 1, wherein, The self-detection personnel positioning information called from the telecom operator is stored, specifically: The real-name information of the self-detection personnel is sent to the information positioning center of the telecom operator; The telecom operator sends the accurate positioning information of the self-detection personnel to the cloud server data storage and processing unit; The cloud server data storage and processing unit stores the positioning information of the self-detection personnel collected from the telecom operator.

5. The pandemic emergency response system of claim 1, wherein, The mobile terminal includes but is not limited to web pages, mobile APPs, WeChat mini programs, public numbers and embedded mobile terminals of existing health codes in various regions, including but not limited to WeChat mini programs, mobile APPs and public numbers of existing health codes in various regions.

6. A response method of an epidemic emergency response system, the epidemic emergency response system comprising a mobile terminal, a cloud server, and a client, the method comprising: The response method includes the following steps: The mobile terminal obtains the basic information of the self-detection personnel and the antigen self-detection positive information, and uploads the information to the cloud server. The antigen self-detection positive information includes self-reported antigen self-detection positive information and positive test card photos; After the cloud server data storage and processing unit receives the basic information of the self-detection personnel and the antigen self-detection positive information, it verifies the positive test card photo image recognition and the self-reported antigen self-detection positive information, stores the antigen self-detection positive information, and according to the real-name information of the self-detection personnel, calls the accurate positioning information of the self-detection personnel from the information positioning center of the telecom operator, stores the positioning information and sends the positioning information to the cloud server emergency response unit; After the cloud server emergency response unit obtains the antigen self-detection positive information, the basic information of the self-detection personnel and the positioning information, it sends the collected antigen self-detection positive information, the basic information of the self-detection personnel and the positioning information to the epidemic prevention and control command center client of the current location of the self-detection personnel; After the client receives the antigen self-detection positive information, the basic information of the self-detection personnel and the positioning information provided by the cloud server emergency response unit, the epidemic prevention and control command center of the current location of the self-detection personnel starts the epidemic emergency response, obtains the nucleic acid detection information of the self-detection personnel, confirms the positive case, and feeds back the positive confirmation information to the cloud server through the client through the epidemic prevention and control command center client of the current location of the self-detection personnel; After the cloud server receives the positive case confirmed by the epidemic prevention and control command center of the current location of the self-detection personnel, it statistically summarizes the number of antigen positive cases in different levels and different regions, and sends the summarized data to the epidemic prevention and control command center at different levels in real time; The test card image recognition result is analyzed, specifically: Obtaining the positive test card image information displayed by the self-tester uploaded test kit, preprocessing the positive test card image information, obtaining the region of interest of the positive test card image information, and identifying the model information of the current positive test card through the preprocessed test kit test card image information; According to the model information of the current positive test card, the initial image information of the undetected test kit test card corresponding to the model information is obtained, and the difference between the maximum pixel value and the minimum pixel value of the image in each channel of the RGB of the initial image information of the test card is calculated as a reference value. Obtain the image matrix of the region of interest, obtain the pixel value of each point in the RGB channel according to the image matrix, calculate the difference between the pixel value and the maximum pixel value and the minimum pixel value of the image in the RGB channel of the initial image information of the test kit test card, and sum the absolute values of the two differences to generate a color feature value. Determine whether the color feature value at any point in the RGB channel is less than the reference value, if less than, the pixel value of the point is assigned to 1, otherwise, the pixel point is assigned to 0, and a binary image is generated according to the judgment result. The similarity between the binary image information and the preset test kit test card positive image information is judged, if the similarity is greater than or equal to the preset similarity threshold, the test card image information uploaded by the self-tester is judged as positive detection information, otherwise, the test card image information uploaded by the self-tester is not judged as positive detection information. The cloud server also includes an expert analysis module, a first similarity threshold and a second similarity threshold are preset, when the similarity reaches the first similarity threshold but does not reach the second similarity threshold, the test kit test card image information uploaded by the self-tester is determined as an image recognition result with ambiguity, and the test kit test card image information uploaded by the self-tester is input to the expert analysis module for verification. A test kit information database is constructed, which includes the test kit test card parameter information of each model and specification on the market, the initial image information of each model test kit test card when not detected, and the positive image information corresponding to the positive detection result of each model test kit test card. When the test kit test card image information uploaded by the self-tester is obtained, the keyword information in the test kit test card image information is obtained through image recognition and the shape feature and texture feature are extracted; An index label is generated through the keyword information and the shape feature, an index task is established according to the index label, the matching degree of the data in the test kit information database and the index label is calculated, and the test kit test card information with the highest matching degree in the test kit information database is obtained; The test kit test card information is obtained to verify the test kit test card image information uploaded by the self-tester.

7. The response method of claim 6, wherein, The cloud server data storage and processing unit compares and analyzes the test card image recognition result with the positive information reported by the self-tester, specifically: Obtaining the test card image recognition result showing positive, comparing the test card image recognition result showing positive with the self-reporting positive information; If the test card image recognition result showing positive is inconsistent with the self-reporting positive information, feedback information is generated and sent to the mobile terminal to inform the user to verify the information; If the test card image recognition result showing positive is consistent with the self-reporting positive information, the cloud server emergency response unit is started; The emergency response unit sends the self-detection positive information, personal basic information and positioning information to the self-detection personnel's current location epidemic prevention command center client. After the nucleic acid detection of the current location epidemic prevention command center confirms the positive case, the data storage and processing unit is started to statistically summarize the number of positive cases and report to the epidemic prevention command center at all levels.

8. The response method of claim 6, wherein, The mobile terminal includes but is not limited to web page, mobile phone APP, WeChat applet, public number and embedded into existing regional health code mobile terminal, including but not limited to existing regional health code WeChat applet, mobile phone APP and public number.

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