CN115497637A - Health data acquisition management system based on safety prevention and control - Google Patents
Health data acquisition management system based on safety prevention and control Download PDFInfo
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- 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
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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
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Abstract
The invention relates to the technical field of data management, and discloses a health data acquisition management system based on safety prevention and control, which comprises a health code application information extraction module, a health code application information classification processing module, a health code associated information analysis module, a health code generation coloring processing module, a database, a health code coloring reason subsidiary generation module, a health code manual verification processing module and a health code use range limiting module.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a health data acquisition management system based on safety prevention and control.
Background
The release and application of the health code are embodied by utilizing digital technology to assist safety prevention and control. The health code has the advantages of strengthening identity authentication, being wide in coverage, being convenient and fast to use and the like, and provides powerful information support for normalized prevention and control and repeated work and production. In this case, it is important to accelerate the application review of the health code of the non-applicant.
At present, the application of the health code is basically carried out on a fixed application platform, and an applicant can generate the personal health code and the color after background audit by applying on the application platform. However, background auditing of health codes at present adopts a manual auditing mode, and the auditing mode has the following defects in the actual application process: 1. the safety consciousness and subjective judgment of auditors are greatly influenced when the health code is endowed through manual auditing, a judgment error phenomenon easily exists, the reliability of an auditing result is further influenced, the manual auditing is limited by working time, real-time uninterrupted auditing cannot be realized, the auditing efficiency is low, the auditing delay phenomenon often occurs, and the requirement of fast and timely auditing the application of health codes by appliers is difficult to meet.
2. Because the application information submitted by the applicant on the health code application platform relates to personal information, such as certificate numbers, contact phones and the like, the auditing personnel can easily acquire the personal information of the applicant when receiving the application information submitted by the applicant, so that the risk of personal information leakage exists, and great potential safety hazards are brought to the personal information safety of the applicant.
Another aspect, because the health sign indicating number uses conveniently, sweep the sign indicating number and can learn user's health condition. However, the application range of the health codes in all parts of the country is not unified, so that the code scanning application of the user to the health codes is in a passive receiving state, the risk of abusing the health codes easily exists, the leakage speed of the health data of the user is increased invisibly, and the use safety of the health codes of the user is difficult to guarantee effectively.
Disclosure of Invention
In order to solve the technical problems, the invention is realized by the following technical scheme:
a health data acquisition management system based on safety prevention and control comprises: and the health code application information extraction module is used for extracting the health code application information submitted by the target user on the health code application platform.
And the health code application information classification processing module is used for classifying the extracted health code application information to form personal information and health code associated information corresponding to the target user.
And the health code correlation information analysis module is used for analyzing the health code correlation information corresponding to the target user and evaluating the infection risk degree corresponding to the target user.
And the health code generation and color-endowing processing module is used for generating a health code based on the health code application information corresponding to the target user and carrying out color-endowing processing on the generated health code according to the infection risk degree corresponding to the target user.
And the database is used for storing the area ranges corresponding to the currently existing primary and secondary safety level areas, storing the residential addresses corresponding to the primary and secondary safety levels, storing warning body temperature and expression symptoms, storing influence factors corresponding to the primary and secondary safety levels, and storing infection risk degree intervals corresponding to various health code colors.
And the health code coloring reason attached generation module is used for analyzing the coloring reason when the coloring of the target user health code is red or yellow and additionally generating the coloring reason.
And the health code manual verification processing module is used for hiding the personal information corresponding to the target user, transmitting the health code application information corresponding to the target user, the color of the health code and the color-endowing reason generated additionally to the safety prevention and control center after the processing, and performing manual verification by the safety prevention and control center.
And the health code application display feedback terminal is used for displaying and feeding back the health code of the target user and the color-giving reason of the health code generated by the health code application platform after the artificial verification is correct, and completing the health code application.
And the health code application range limiting module is used for limiting the application range of the health code of the target user according to the specified acquisition main body corresponding to the health code.
In a preferred arrangement, the personal information includes name, gender, identification number and contact number.
In a preferred scheme, the health code associated information comprises a living address, travel information and a physical health representation, wherein the travel information comprises a travel location and a stay time at the travel location, and the physical health representation comprises a body temperature and a performance symptom.
In a preferred embodiment, the evaluating the infection risk corresponding to the target user specifically refers to the following evaluating steps: s1, extracting the existing residential address from the health code associated information, comparing the existing residential address corresponding to the target user with the area ranges corresponding to the currently existing primary and secondary security level areas stored in the database, recording the security level as an adaptive security level if the existing residential address corresponding to the target user falls into the area range corresponding to a certain security level area, and executing S2, and executing S3-S6 if the existing residential address corresponding to the target user does not fall into the area ranges corresponding to the primary and secondary security level areas.
And S2, matching the adaptive security level corresponding to the target user with the residential address falling risk degrees corresponding to the primary and secondary security levels stored in the database, and taking the residential address falling risk degree successfully matched as the residential address falling risk degree corresponding to the target user, and marking as sigma.
And S3, respectively marking the area ranges corresponding to the currently existing primary and secondary security level areas and the living addresses corresponding to the target users on the map, extracting area outlines corresponding to the primary and secondary security level areas from the area ranges, respectively connecting the marked living addresses corresponding to the target users to the area outlines corresponding to the primary and secondary security level areas, and accordingly, taking the shortest connecting line from the living addresses corresponding to the target users to the primary and secondary security level areas, and marking as a primary security level approaching connecting line and a secondary security level approaching connecting line.
And S4, comparing the distance between the first-level security level approach connection line and the distance between the second-level security level approach connection lines, and selecting the approach connection line with the shortest distance as a risk association connection line.
And S5, matching the security level corresponding to the risk associated connection line with the influence factors corresponding to the primary and secondary security levels stored in the database, and matching the influence factors of the security level corresponding to the risk associated connection line.
S6, enabling the distance corresponding to the risk association connection line and the influence factor of the security level to pass through a formula
And taking the calculation result as a living address corresponding to the target user and falling into a risk degree sigma', wherein l is represented as a distance corresponding to a risk associated connection line, lambda is represented as an influence factor of a safety level corresponding to the risk associated connection line, and e is represented as a natural constant.
And S7, extracting the travel information from the health code correlation information, analyzing the travel wave and risk degree corresponding to the target user according to the travel information, and recording the travel wave and risk degree as TR.
And S8, extracting body health representation from the health code correlation information, analyzing body symptom reflecting risk degree corresponding to the target user according to the body health representation, and recording the body symptom reflecting risk degree as RS.
S9, substituting the residential address falling risk degree, the travel wave risk degree and the physical symptom reflecting risk degree corresponding to the target user into an infection risk degree evaluation formula
And acquiring an infection risk psi corresponding to the target user, wherein RF represents that the residential address corresponding to the target user falls into the risk, and the values of RF are sigma or sigma', and x, y and z respectively represent that the set residential address falls into the risk, the journey spread risk and the proportion coefficient corresponding to the physical symptom reflecting risk.
In a preferred embodiment, the operation steps corresponding to S7 are as follows: and S71, extracting a travel point from the travel information, and marking the travel point of the target user on the map to form a travel trajectory line corresponding to the target user.
S72, comparing the travel trajectory line corresponding to the target user with the area ranges corresponding to the primary and secondary safety level areas, if the travel trajectory line corresponding to the target user is overlapped with the area ranges corresponding to the certain safety level area, recording the safety level as a involvement safety level, and executing S73-S75, and if the travel trajectory line corresponding to the target user is not overlapped with the area ranges corresponding to the primary and secondary safety level areas, recording the travel wave and the risk degree corresponding to the target user as epsilon.
And S73, counting the number of the travel places on the coincident travel trajectory line, and recording the travel places on the coincident travel trajectory line as key travel places.
And S74, extracting the stay time at the travel position from the travel information, and further acquiring the stay time at each key travel position based on the key travel positions.
S75, the involvement safety level corresponding to the target user and the stay time at each key journey place are calculated through a formula
Obtaining a corresponding travel wave and risk degree epsilon' of the target user, wherein t i The stopping time of the target user at the ith important journey place is expressed, i is expressed as the number of the important journey places, i =1, 2.
In a preferred embodiment, the operation steps corresponding to S8 are as follows: s81, extracting the body temperature from the physical health representation, and comparing the body temperature corresponding to the target user with the alert body temperature stored in the database to obtain a body temperature comparison difference corresponding to the target user.
S82, extracting expression symptoms from the physical health representation, further matching the expression symptoms corresponding to the target user with the expression symptoms stored in the database, and counting the number of the expression symptoms which are successfully matched.
S83, importing the body temperature contrast difference value corresponding to the target user and the successfully matched expression symptom number into a physical symptom reflection risk degree analysis formula
Analyzing the body symptom reflection risk degree corresponding to the target user, wherein delta T represents the body temperature contrast difference corresponding to the target user, T 0 Expressed as alert body temperature, k as the number of performance symptoms that match successfully, and m as the number of performance symptoms stored in the database.
In a preferred embodiment, the processing manner corresponding to the coloring process performed on the generated health code according to the infection risk degree corresponding to the target user is to match the infection risk degree corresponding to the target user with infection risk degree intervals corresponding to various health code colors stored in the database, and further perform the coloring process on the generated health code with a color successfully matched.
In a preferred embodiment, the reason for analyzing the color is as follows: comparing the residential address falling risk degree, the journey reaching risk degree and the body symptom reflecting risk degree corresponding to the target user with the set critical residential address falling risk degree, critical journey reaching risk degree and critical body symptom reflecting risk degree respectively, if the residential address falling risk degree corresponding to the target user is larger than the critical residential address falling risk degree, analyzing the coloring reason as that primary and secondary safety level residential histories exist, if the journey reaching risk degree corresponding to the target user is larger than the critical journey reaching risk degree, analyzing the coloring reason as that the primary and secondary safety level journey histories exist, and if the body symptom reflecting risk degree corresponding to the target user is larger than the critical body symptom reflecting risk degree, analyzing the coloring reason as that symptoms exist.
In a preferred scheme, the limitation of the use range of the health code of the target user by the specified acquisition subject corresponding to the health code is as follows: and setting a collection main body identification program on the health code of the target user, identifying the scanning main body through the collection main body identification program when the target user encounters health code scanning in the trip process, matching the identification result with the specified collection main body corresponding to the health code, normally displaying the health code on a scanning interface if matching is successful, and displaying unauthorized collection on the scanning interface if matching is failed.
Compared with the prior art, the invention has the following advantages:
1. according to the method, the health code application information submitted by a target user on the health code application platform is audited in an intelligent auditing mode, the health code application information is classified in the auditing process, infection risk degree evaluation is further performed according to the classified health code associated information, an auditing algorithm of a scientific process is formed, the health code is automatically generated and subjected to coloring processing, and compared with manual auditing, the auditing mode can be used for objectively and uninterruptedly auditing the submitted health code application information in real time, the defect that manual auditing has a large influence on a main appearance is avoided to the greatest extent, the judgment error rate is greatly reduced, the reliability of auditing results is improved, the auditing efficiency is improved, the auditing delay phenomenon is avoided, and the requirement for fast and timely auditing the health code application by an applicant is effectively met.
2. The intelligent auditing method adopted by the invention can avoid the contact of the auditor to the application information to the maximum extent due to no need of manual auditing, thereby greatly avoiding the leakage of the personal information and being beneficial to ensuring the safety of the personal information of the applicant.
3. According to the invention, a coloring reason analysis mechanism is arranged when the generated health code is subjected to coloring treatment, the coloring reason is analyzed when the coloring of the health code is red or yellow, and the coloring reason is generated additionally, so that the auditing function of the health code is enriched, an applicant can visually and timely know the coloring reason of the health code, and the coloring right of the health code of the applicant is ensured to a certain extent, thereby reducing the panic feeling when the health code of the applicant is colored red or yellow, facilitating the applicant to timely take corresponding treatment measures according to the coloring reason, being beneficial to promoting the safety prevention and control progress, and having higher practical use value.
4. According to the method and the device, the acquisition subject identification program is set for the health code of the user, so that the health code is normally displayed under the condition of identifying the code scanning scene belonging to the specified acquisition subject, and the unauthorized acquisition display is performed under the condition of identifying the code scanning scene not belonging to the specified acquisition subject, so that the accurate limitation of the use range of the health code is realized, the health code is prevented from being abused to a certain extent, and the use safety of the health code of the user is favorably ensured.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the system connection of the present invention.
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.
Referring to fig. 1, the invention provides a health data acquisition management system based on security prevention and control, which comprises a health code application information extraction module, a health code application information classification processing module, a health code associated information analysis module, a health code generation coloring processing module, a database, a health code coloring reason attached generation module, a health code manual verification processing module and a health code use range limiting module. Wherein health code application information extraction module is connected with health code application information classification processing module, health code application information classification processing module is connected with health code associated information analysis module, health code associated information analysis module is connected with health code generation coloring processing module, health code generation coloring processing module is connected with health code coloring reason subsidiary generation module, health code coloring reason subsidiary generation module is connected with health code manual verification processing module, health code manual verification processing module is connected with health code application range limiting module, the database is connected with health code associated information analysis module and health code generation coloring processing module respectively.
The health code application information extraction module is used for extracting the health code application information submitted by the target user on the health code application platform.
The health code application information classification processing module is used for classifying the extracted health code application information to form personal information and health code associated information corresponding to a target user, wherein the personal information comprises names, sexes, certificate numbers and contact phones, the health code associated information comprises existing living addresses, travel information and physical health representations, the travel information comprises travel places and stay time at the travel places, and the physical health representations comprise body temperature and expression symptoms.
Illustratively, the above-mentioned manifestation includes dry cough, pharyngalgia, diarrhea, and the like.
The health code associated information analysis module is used for analyzing the health code associated information corresponding to the target user and evaluating the infection risk degree corresponding to the target user, and specifically comprises the following evaluation steps: s1, extracting a living address from the health code correlation information, comparing the living address corresponding to the target user with the area ranges corresponding to the currently existing primary and secondary security level areas stored in the database, recording the security level as an adaptive security level if the living address corresponding to the target user falls into the area range corresponding to a certain security level area, and executing S2, and executing S3-S6 if the living address corresponding to the target user does not fall into the area ranges corresponding to the primary and secondary security level areas.
And S2, matching the adaptive security level corresponding to the target user with the residential address falling risk degrees corresponding to the primary and secondary security levels stored in the database, and taking the residential address falling risk degree successfully matched as the residential address falling risk degree corresponding to the target user, and marking as sigma.
And S3, respectively marking the area ranges corresponding to the currently existing primary and secondary security level areas and the living addresses corresponding to the target users on the map, extracting area outlines corresponding to the primary and secondary security level areas from the area ranges, respectively connecting the marked living addresses corresponding to the target users to the area outlines corresponding to the primary and secondary security level areas, and accordingly, taking the shortest connecting line from the living addresses corresponding to the target users to the primary and secondary security level areas, and marking as a primary security level approaching connecting line and a secondary security level approaching connecting line.
And S4, comparing the distance between the first-level security level approach connection line and the distance between the second-level security level approach connection lines, and selecting the approach connection line with the shortest distance as a risk association connection line.
And S5, matching the security level corresponding to the risk associated connection line with the influence factors corresponding to the primary and secondary security levels stored in the database, and matching the influence factors of the security level corresponding to the risk associated connection line.
S6, enabling the distance corresponding to the risk association connection line and the influence factor of the security level to pass through a formula
And taking the calculation result as a residential address corresponding to the target user and falling into a risk degree sigma', wherein l represents a distance corresponding to a risk associated connection line, lambda represents an influence factor of a security level corresponding to the risk associated connection line, and e represents a natural constant.
S7, extracting travel information from the health code correlation information, analyzing travel waves and risk degrees corresponding to the target user according to the travel information and recording the travel waves and risk degrees as TR, wherein the specific analysis steps are as follows: and S71, extracting a travel position from the travel information, and marking the travel position of the target user on the map to form a travel trajectory line corresponding to the target user.
S72, comparing the travel track line corresponding to the target user with the area ranges corresponding to the primary and secondary safety level areas, if the travel track line corresponding to the target user is overlapped with the area ranges corresponding to certain safety level areas, recording the safety level as a involvement safety level, and executing S73-S75, and if the travel track line corresponding to the target user is not overlapped with the area ranges corresponding to the primary and secondary safety level areas, recording the travel wave and the risk degree corresponding to the target user as epsilon.
And S73, counting the number of the travel places on the coincident travel trajectory line, and recording the travel places on the coincident travel trajectory line as key travel places.
And S74, extracting the stay time at the travel position from the travel information, and further acquiring the stay time at each key travel position based on the key travel positions.
S75, matching the involvement security level corresponding to the target user with the influence factors corresponding to the primary and secondary security levels stored in the database, matching the influence factor corresponding to the involvement security level of the target user from the involvement security level, and further enabling the influence factor corresponding to the involvement security level of the target user and the stay time of the target user at each key journey place to pass through a formula
Obtaining a corresponding travel wave and risk degree epsilon' of the target user, wherein t i The stopping time of the target user at the ith important journey place is expressed, i is expressed as the number of the important journey places, i =1, 2.
It should be noted that, in the above travel spread risk degree analysis formula, the longer the stay time of the target user at the important travel location is, the larger the influence factor of the safety level involved by the target user is, and the larger the travel spread risk degree corresponding to the target user is.
In a specific embodiment, the calculation method of the accumulated travel staying time of the target user is to accumulate the staying time of the target user at each travel location to obtain the accumulated travel staying time of the target user.
S8, extracting body health representation from the health code correlation information, analyzing the body symptom reflecting risk degree corresponding to the target user according to the body health representation, and recording the body symptom reflecting risk degree as RS, wherein the specific operation steps are as follows: s81, extracting the body temperature from the physical health representation, and comparing the body temperature corresponding to the target user with the alert body temperature stored in the database to obtain a body temperature comparison difference corresponding to the target user.
S82, extracting the expression symptoms from the physical health representation, further matching the expression symptoms corresponding to the target user with the expression symptoms stored in the database, and counting the number of the expression symptoms which are successfully matched.
S83, importing the body temperature contrast difference value corresponding to the target user and the successfully matched expression symptom number into a physical symptom reflection risk degree analysis formula
Analyzing the body symptom reflection risk degree corresponding to the target user, wherein delta T represents the body temperature contrast difference corresponding to the target user, T 0 The body temperature is represented as alert body temperature, k is represented as the number of successfully matched expression symptoms, and m is represented as the number of expression symptoms stored in the database, wherein the larger the body temperature contrast difference value corresponding to the target user is, the more successfully matched expression symptoms are, and the greater the body symptom reflection risk degree corresponding to the target user is.
S9, substituting the residential address falling risk degree, the journey reaching risk degree and the physical symptom reflecting risk degree corresponding to the target user into an infection risk degree evaluation formula
And acquiring an infection risk psi corresponding to the target user, wherein the RF is expressed as the residential address falling risk psi corresponding to the target user, the values of the RF are sigma or sigma ', the TR is expressed as the travel wave and risk corresponding to the target user, the values of the TR are epsilon or epsilon', and x, y and z are respectively expressed as the occupation ratio coefficients corresponding to the set residential address falling risk, the travel wave and risk and the physical symptom reflecting risk.
According to the embodiment of the invention, the comprehensive evaluation is carried out on the risk generated by the residential address, the travel information and the physical symptoms by fully considering the evaluation of the infection risk, so that the multi-dimensional evaluation of the corresponding infection risk of the target user is realized, and the accuracy of the evaluation result can be improved.
The health code generation and color-endowing processing module is used for generating a health code based on health code application information corresponding to a target user, and carrying out color-endowing processing on the generated health code according to infection risk degree corresponding to the target user, wherein the specific processing mode is to match the infection risk degree corresponding to the target user with infection risk degree intervals corresponding to various health code colors stored in a database, and further carry out color-endowing processing on the generated health code by the color which is successfully matched.
According to the embodiment of the invention, the health code application information submitted by a target user on the health code application platform is audited in an intelligent auditing mode, the health code application information is classified in the auditing process, and then infection risk degree evaluation is carried out according to the classified health code associated information to form an auditing algorithm of a scientific process, so that the health code is automatically generated and subjected to coloring processing.
The database is used for storing the area ranges corresponding to the currently existing primary and secondary safety level areas, storing the residential addresses corresponding to the primary and secondary safety levels, storing warning body temperature and expression symptoms, storing influence factors corresponding to the primary and secondary safety levels, and storing infection risk degree intervals corresponding to various health code colors.
And the health code coloring reason additional generation module is used for analyzing the coloring reason when the coloring of the health code of the target user is red or yellow and performing additional generation on the coloring reason.
The reason for the above-mentioned color analysis is specifically as follows: comparing the residential address falling risk degree, the travel wave risk degree and the body symptom reflecting risk degree corresponding to the target user with the set critical residential address falling risk degree, the critical travel wave risk degree and the critical body symptom reflecting risk degree respectively, if the residential address falling risk degree corresponding to the target user is larger than the critical residential address falling risk degree, analyzing the coloring reason as the existence of the residential history with the primary safety level and the secondary safety level, if the travel wave risk degree corresponding to the target user is larger than the critical travel wave risk degree, analyzing the coloring reason as the existence of the travel history with the primary safety level and the secondary safety level, and if the body symptom reflecting risk degree corresponding to the target user is larger than the critical body symptom reflecting risk degree, analyzing the coloring reason as the existence of the symptom.
According to the embodiment of the invention, when the generated health code is subjected to color-giving processing, the color-giving reason is analyzed by setting the color-giving reason analysis mechanism, when the color-giving of the health code is red or yellow, and the color-giving reason is generated additionally, so that the auditing function of the health code is enriched, an applicant can visually and timely know the color-giving reason of the health code, the color-giving right of the health code of the applicant is ensured to a certain extent, the panic feeling when the health code of the applicant is red or yellow is reduced, the applicant can conveniently take corresponding processing measures in time according to the color-giving reason, the safety prevention and control progress is facilitated, and the practical use value is higher.
The health code manual verification processing module is used for hiding the personal information corresponding to the target user, transmitting the health code application information corresponding to the target user, the color of the health code and the color-giving reason generated by the health code after processing to the safety prevention and control center, and performing manual verification by the safety prevention and control center.
In the specific embodiment of the invention, the specific implementation manner of the manual verification is as follows: when the color of the health code of the target user is checked out manually and wrongly, the personal information checking authority is applied, and after the application is successful, the personal information corresponding to the target user can be displayed in a public mode.
The intelligent auditing method adopted by the invention can avoid the contact of the auditor to the application information to the maximum extent due to no need of manual auditing, thereby greatly avoiding the leakage of the personal information and being beneficial to ensuring the safety of the personal information of the applicant.
The health code application display feedback terminal is used for displaying and feeding back the health code of the target user and the color-giving reason of the health code generated by the health code application platform after the artificial verification is correct, and the health code application is completed.
The health code use range limiting module is used for limiting the use range of a health code of a target user according to an appointed acquisition main body corresponding to the health code, an acquisition main body identification program is set in the health code of the target user, when the target user encounters health code scanning in a trip process, the scanning main body is identified through the acquisition main body identification program, an identification result is matched with the appointed acquisition main body corresponding to the health code, if matching is successful, normal display of the health code is carried out on a scanning interface, and if matching is failed, unauthorized acquisition display is carried out on the scanning interface.
According to the method and the device, the acquisition subject identification program is set for the health code of the user, so that the health code is normally displayed under the condition of identifying the code scanning scene belonging to the specified acquisition subject, and the unauthorized acquisition display is performed under the condition of identifying the code scanning scene not belonging to the specified acquisition subject, so that the accurate limitation of the use range of the health code is realized, the health code is prevented from being abused to a certain extent, and the use safety of the health code of the user is favorably ensured.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. A health data acquisition management system based on safety prevention and control is characterized by comprising:
the health code application information extraction module is used for extracting the health code application information submitted by the target user on the health code application platform;
the health code application information classification processing module is used for classifying the extracted health code application information to form personal information and health code associated information corresponding to a target user;
the health code correlation information analysis module is used for analyzing the health code correlation information corresponding to the target user and evaluating the infection risk degree corresponding to the target user;
the health code generation and color-giving processing module is used for generating a health code based on the health code application information corresponding to the target user and carrying out color-giving processing on the generated health code according to the infection risk degree corresponding to the target user;
the database is used for storing the area ranges corresponding to the areas with the first-level safety level and the second-level safety level, storing the residential addresses corresponding to the first-level safety level and the second-level safety level which fall into the risk degree, storing the warning body temperature and the expression symptoms, storing the influence factors corresponding to the first-level safety level and the second-level safety level, and storing the infection risk degree intervals corresponding to various health code colors;
the health code coloring reason additional generation module is used for analyzing the coloring reason when the coloring of the health code of the target user is red or yellow and additionally generating the coloring reason;
the health code manual verification processing module is used for hiding the personal information corresponding to the target user, transmitting the health code application information corresponding to the target user, the color of the health code and the color-endowing reason generated additionally to the safety prevention and control center after the hidden processing, and performing manual verification by the safety prevention and control center;
the health code application display feedback terminal is used for displaying and feeding back the health code of the target user and the color-giving reason of the health code generated by the health code application platform after the artificial verification is correct, and completing the health code application;
and the health code application range limiting module is used for limiting the application range of the health code of the target user according to the specified acquisition main body corresponding to the health code.
2. The health data acquisition and management system based on safety prevention and control as claimed in claim 1, wherein: the personal information includes name, gender, certificate number and contact number.
3. The health data acquisition and management system based on safety prevention and control as claimed in claim 1, wherein: the health code associated information comprises a living address, travel information and a physical health representation, wherein the travel information comprises a travel location and a stay time at the travel location, and the physical health representation comprises a body temperature and a performance symptom.
4. The health data acquisition and management system based on safety prevention and control as claimed in claim 3, wherein: the evaluation of the infection risk corresponding to the target user specifically refers to the following evaluation steps:
s1, extracting a living address from health code associated information, comparing the living address corresponding to a target user with the currently existing region ranges corresponding to a primary security level region and a secondary security level region stored in a database, recording the security level as an adaptive security level if the living address corresponding to the target user falls into the region range corresponding to a certain security level region, and executing S2, and executing S3-S6 if the living address corresponding to the target user does not fall into the region ranges corresponding to the primary security level region and the secondary security level region;
s2, matching the adaptive security level corresponding to the target user with the residential address falling risk degrees corresponding to the primary and secondary security levels stored in the database, and taking the residential address falling risk degree successfully matched as the residential address falling risk degree corresponding to the target user and marking as sigma;
s3, respectively marking the area ranges corresponding to the currently existing first-level and second-level security level areas and the current living addresses corresponding to the target users on the map, extracting area outlines corresponding to the first-level and second-level security level areas from the area ranges, further respectively connecting the marked current living addresses corresponding to the target users to the area outlines corresponding to the first-level and second-level security level areas, and accordingly taking the shortest connecting line from the current living addresses corresponding to the target users to the first-level and second-level security level areas, and marking the shortest connecting line as a first-level security level approaching connecting line and a second-level security level approaching connecting line;
s4, comparing the distance between the first-level security level approach connection line and the distance between the second-level security level approach connection lines, and selecting the approach connection line with the shortest distance as a risk association connection line;
s5, matching the security level corresponding to the risk associated connection line with the influence factors corresponding to the primary and secondary security levels stored in the database, and matching the influence factors of the security level corresponding to the risk associated connection line;
s6, enabling the distance corresponding to the risk association connection line and the influence factor of the security level to pass through a formula
Further taking the calculation result as a living address corresponding to the target user and falling into a risk degree sigma', wherein l represents a distance corresponding to a risk associated connection line, lambda represents an influence factor of a safety level corresponding to the risk associated connection line, and e represents a natural constant;
s7, extracting travel information from the health code correlation information, analyzing travel waves and risk degrees corresponding to the target user according to the travel information, and recording the travel waves and risk degrees as TR;
s8, extracting body health representation from the health code correlation information, analyzing body symptom reflecting risk degree corresponding to the target user according to the body health representation, and recording the body symptom reflecting risk degree as RS;
s9, respectively enabling the residential addresses corresponding to the target users to fall into the risk degree and the rowSubstituting the stroke and risk degree and the body symptom reflecting risk degree into an infection risk degree evaluation formula
And acquiring an infection risk psi corresponding to the target user, wherein RF is expressed as the residential address falling risk of the target user, and the values of RF are sigma or sigma', and x, y and z are respectively expressed as duty coefficients corresponding to the set residential address falling risk, the travel wave risk and the physical symptom reflecting risk.
5. The health data acquisition and management system based on safety prevention and control as claimed in claim 4, wherein: the operation steps corresponding to the S7 are as follows:
s71, extracting a travel location from the travel information, and marking the travel location of the target user on a map to form a travel trajectory line corresponding to the target user;
s72, comparing the travel track line corresponding to the target user with the area ranges corresponding to the primary and secondary safety level areas, if the travel track line corresponding to the target user is overlapped with the area ranges corresponding to certain safety level areas, marking the safety level as a involvement safety level, and executing S73-S75, and if the travel track line corresponding to the target user is not overlapped with the area ranges corresponding to the primary and secondary safety level areas, marking the travel wave and the risk degree corresponding to the target user as epsilon;
s73, counting the number of the travel places on the coincident travel trajectory line, and recording the travel places on the coincident travel trajectory line as key travel places;
s74, extracting the stay time at the travel location from the travel information, and further acquiring the stay time at each key travel location based on the key travel location;
s75, passing the involvement security level corresponding to the target user and the stay time at each key travel place through a formula
Obtaining a corresponding travel wave and risk degree epsilon' of the target user, wherein t i The stopping time of the target user at the ith important journey place is expressed, i is expressed as the number of the important journey places, i =1, 2.
6. The health data acquisition and management system based on safety prevention and control as claimed in claim 4, wherein: the operation steps corresponding to the step S8 are as follows:
s81, extracting the body temperature from the physical health representation, and comparing the body temperature corresponding to the target user with the alert body temperature stored in the database to obtain a body temperature comparison difference value corresponding to the target user;
s82, extracting expression symptoms from the physical health representation, further matching the expression symptoms corresponding to the target user with the expression symptoms stored in the database, and counting the number of the expression symptoms which are successfully matched;
s83, importing the body temperature contrast difference value corresponding to the target user and the successfully matched expression symptom quantity into a physical symptom reflection risk degree analysis formula
Analyzing body symptom reflecting risk degree corresponding to the target user, wherein delta T is expressed as body temperature contrast difference value corresponding to the target user, T 0 Expressed as alert body temperature, k as the number of performance symptoms that match successfully, and m as the number of performance symptoms stored in the database.
7. The health data acquisition and management system based on safety prevention and control as claimed in claim 1, wherein: and the processing mode corresponding to the coloring processing of the generated health code according to the infection risk degree corresponding to the target user is to match the infection risk degree corresponding to the target user with the infection risk degree intervals corresponding to various health code colors stored in the database, and further perform coloring processing on the generated health code according to the color successfully matched with the health code.
8. The health data acquisition and management system based on safety prevention and control as claimed in claim 1, wherein: the reason for the analysis of color is as follows: comparing the residential address falling risk degree, the journey reaching risk degree and the body symptom reflecting risk degree corresponding to the target user with the set critical residential address falling risk degree, critical journey reaching risk degree and critical body symptom reflecting risk degree respectively, if the residential address falling risk degree corresponding to the target user is larger than the critical residential address falling risk degree, analyzing the coloring reason as that primary and secondary safety level residential histories exist, if the journey reaching risk degree corresponding to the target user is larger than the critical journey reaching risk degree, analyzing the coloring reason as that the primary and secondary safety level journey histories exist, and if the body symptom reflecting risk degree corresponding to the target user is larger than the critical body symptom reflecting risk degree, analyzing the coloring reason as that symptoms exist.
9. The health data acquisition and management system based on safety prevention and control as claimed in claim 1, wherein: the limitation of the use range of the health code of the target user according to the specified acquisition main body corresponding to the health code is as follows: and setting a collection main body identification program on the health code of the target user, identifying the scanning main body through the collection main body identification program when the target user encounters health code scanning in the trip process, matching the identification result with the specified collection main body corresponding to the health code, normally displaying the health code on a scanning interface if matching is successful, and displaying unauthorized collection on the scanning interface if matching is failed.
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| US20130262155A1 (en) * | 2012-04-03 | 2013-10-03 | Thomas J. HinKamp | System and method for collection and distibution of medical information |
| CN111178479A (en) * | 2020-02-17 | 2020-05-19 | 中共杭州市余杭区委办公室 | Traffic identification management system and method based on color-changeable two-dimensional code |
| CN112509699A (en) * | 2020-12-28 | 2021-03-16 | 医渡云（北京）技术有限公司 | Health identification code generation method and device, storage medium and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130262155A1 (en) * | 2012-04-03 | 2013-10-03 | Thomas J. HinKamp | System and method for collection and distibution of medical information |
| CN111178479A (en) * | 2020-02-17 | 2020-05-19 | 中共杭州市余杭区委办公室 | Traffic identification management system and method based on color-changeable two-dimensional code |
| CN112509699A (en) * | 2020-12-28 | 2021-03-16 | 医渡云（北京）技术有限公司 | Health identification code generation method and device, storage medium and electronic equipment |
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