CN112837825A - Early warning method, system and related equipment - Google Patents

Early warning method, system and related equipment Download PDF

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Publication number
CN112837825A
CN112837825A CN202110185039.5A CN202110185039A CN112837825A CN 112837825 A CN112837825 A CN 112837825A CN 202110185039 A CN202110185039 A CN 202110185039A CN 112837825 A CN112837825 A CN 112837825A
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terminal
object information
early warning
database
sampling object
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CN112837825B (en
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陈孝良
苏少炜
古擘
常乐
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Beijing SoundAI Technology Co Ltd
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Beijing SoundAI Technology Co Ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2291—User-Defined Types; Storage management thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24553—Query execution of query operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2133—Verifying human interaction, e.g., Captcha

Abstract

The disclosure relates to an early warning method, an early warning system and related equipment, and belongs to the technical field of data processing. The method comprises the following steps: the server receives first sampling object information sent by a first terminal and stores the first sampling object information to a first database; receiving a detection result corresponding to first sampling object information sent by a second terminal, storing the detection result corresponding to the first sampling object information to a second database, and summarizing the detection results corresponding to the sampling object information stored in the second database to obtain detection result summarized data; and executing early warning operation under the condition of meeting preset conditions, wherein the preset conditions comprise that abnormal query operation exists in the first terminal, abnormal query operation exists in the second terminal or detection result summary data indicates that the risk exists. The embodiment of the disclosure provides a real-time and convenient early warning mechanism for emergency events, so that maintenance and supervision of data related to emergency event detection are more efficient and safer.

Description

Early warning method, system and related equipment
Technical Field
The disclosure belongs to the technical field of data processing, and particularly relates to an early warning method, an early warning system and related equipment.
Background
At present, for the treatment of large-scale emergency events, a large amount of manpower and material resources are often required to be invested to carry out emergency work, for example, when dealing with epidemic situations, residents need to be arranged to carry out nucleic acid detection, and statistics and reporting are carried out on detection samples, detection results and the like. However, a real-time and convenient early warning mechanism for emergency events is lacking in the related technologies, so that maintenance and supervision of emergency detection related data are difficult, and safety is low.
Disclosure of Invention
The embodiment of the disclosure aims to provide an early warning method, an early warning system and related equipment, which can provide a real-time and convenient early warning mechanism to solve the problems that the maintenance and supervision of emergency detection related data are difficult and the safety is low in the related technology.
In order to solve the technical problem, the present disclosure is implemented as follows:
in a first aspect, an embodiment of the present disclosure provides an early warning method, which is applied to a server, and the method includes:
receiving first sampling object information sent by a first terminal, and storing the first sampling object information to a first database, wherein the first terminal is a terminal facing a sampling mechanism;
receiving a detection result corresponding to the first sampling object information sent by a second terminal, storing the detection result corresponding to the first sampling object information in a second database, and summarizing the detection results corresponding to the sampling object information stored in the second database to obtain detection result summarized data, wherein the second terminal is a terminal facing a detection mechanism;
and executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the risk exists.
Optionally, the performing, under the condition that the preset condition is met, an early warning operation, including:
under the condition of receiving a query request of a target database sent by a target terminal, judging whether the query request frequency of the target terminal exceeds a preset frequency threshold value, wherein the target terminal is the first terminal, the target database is the first database, or the target terminal is the second terminal, and the target database is the second database;
and executing early warning operation under the condition that the number of times of the query request is determined to exceed a preset number threshold.
Optionally, the early warning operation includes any one of:
sending verification code information to the target terminal;
rejecting the query request of the target terminal;
and sending first alarm information to a third terminal, wherein the first alarm information is used for indicating that an abnormal query operation exists in a mechanism corresponding to the target terminal, and the third terminal is a terminal facing a supervision mechanism.
Optionally, the method further includes:
receiving sample abolishing information sent by the second terminal;
summarizing the sample rejection information;
and sending second alarm information to a third terminal under the condition that the sample abolishing quantity is determined to exceed a first preset quantity, wherein the second alarm information is used for indicating that the detecting mechanism abolishes the abnormal sample quantity, and the third terminal is a terminal facing a monitoring mechanism.
Optionally, after summarizing the detection results corresponding to the sampling object information stored in the second database, the method further includes:
sending detection result summarized data to a third terminal;
or, under the condition that the preset condition is met, executing early warning operation, including:
under the condition that the number of the high-risk detection results exceeds a second preset number, sending third alarm information to a third terminal, wherein the third alarm information is used for indicating that the number of the high-risk detection results is higher;
and the third terminal is a terminal facing a supervision mechanism.
In a second aspect, an embodiment of the present disclosure provides an early warning method, which is applied to a first terminal, where the first terminal is a terminal facing a sampling mechanism, and the method includes:
the method comprises the steps of collecting first sampling object information and sending the first sampling object information to a server, so that the server stores the first sampling object information to a first database.
In a third aspect, an embodiment of the present disclosure provides an early warning method, which is applied to a second terminal, where the second terminal is a terminal facing a detection mechanism, and the method includes:
and sending a detection result corresponding to the first sampling object information to a server so that the server stores the detection result corresponding to the first sampling object information to a second database, and summarizing the detection results corresponding to the sampling object information stored in the second database.
Optionally, the method further includes:
and sending sample revocation information to the server so that the server summarizes the sample revocation information.
In a fourth aspect, an embodiment of the present disclosure provides an early warning method, which is applied to a third terminal, where the third terminal is a terminal facing a regulatory agency, and the method includes:
receiving first alarm information, second alarm information or third alarm information sent by a server;
the first warning information is used for indicating that abnormal query operation exists in a sampling mechanism or a detection mechanism, the second warning information is used for indicating that the detection mechanism abolishes abnormal quantity of samples, and the third warning information is used for indicating that the quantity of high-risk detection results is higher.
In a fifth aspect, an embodiment of the present disclosure provides an early warning system, including a first terminal, a second terminal, and a server, where the first terminal is a terminal facing a sampling mechanism, and the second terminal is a terminal facing a detection mechanism,
the first terminal is used for acquiring first sampling object information and sending the first sampling object information to the server;
the server is used for receiving first sampling object information sent by the first terminal and storing the first sampling object information to a first database;
the second terminal is used for sending a detection result corresponding to the first sampling object information to the server;
the server is further configured to receive a detection result corresponding to the first sampling object information sent by the second terminal, store the detection result corresponding to the first sampling object information in a second database, and summarize the detection results corresponding to the sampling object information stored in the second database to obtain summarized detection result data; and executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the risk exists.
In a sixth aspect, an embodiment of the present disclosure provides an early warning apparatus, which is applied to a server, where the early warning apparatus includes:
the system comprises a first receiving module, a first database and a second receiving module, wherein the first receiving module is used for receiving first sampling object information sent by a first terminal and storing the first sampling object information to the first database, and the first terminal is a terminal facing a sampling mechanism;
the second receiving module is configured to receive a detection result corresponding to the first sampling object information sent by a second terminal, store the detection result corresponding to the first sampling object information in a second database, and summarize the detection results corresponding to the sampling object information stored in the second database to obtain summarized detection result data, where the second terminal is a terminal facing a detection mechanism;
and the early warning module is used for executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the first terminal is risky.
Optionally, the early warning module includes:
the system comprises a first processing unit, a second processing unit and a third processing unit, wherein the first processing unit is used for judging whether the query request frequency of a target terminal exceeds a preset frequency threshold value or not under the condition of receiving a query request of the target database sent by the target terminal, wherein the target terminal is the first terminal, the target database is the first database, or the target terminal is the second terminal, and the target database is the second database;
and the early warning unit is used for executing early warning operation under the condition that the query request frequency is determined to exceed a preset frequency threshold value.
Optionally, the early warning operation includes any one of:
sending verification code information to the target terminal;
rejecting the query request of the target terminal;
and sending first alarm information to a third terminal, wherein the first alarm information is used for indicating that an abnormal query operation exists in a mechanism corresponding to the target terminal, and the third terminal is a terminal facing a supervision mechanism.
Optionally, the early warning device further includes:
the third receiving module is used for receiving the sample abolishing information sent by the second terminal;
the second processing module is used for summarizing the sample abolishing information;
the first sending module is used for sending second alarm information to a third terminal under the condition that the sample abolishing quantity is determined to exceed a first preset quantity, wherein the second alarm information is used for indicating that the detecting mechanism abolishes the abnormal quantity of the sample, and the third terminal is a terminal facing a monitoring mechanism.
Optionally, the early warning device further includes:
the second sending module is used for sending the detection result summarized data to the third terminal; alternatively, the first and second electrodes may be,
the third sending module is used for sending third warning information to a third terminal under the condition that the number of the high-risk detection results exceeds a second preset number, wherein the third warning information is used for indicating that the number of the high-risk detection results is higher;
and the third terminal is a terminal facing a supervision mechanism.
In a seventh aspect, an embodiment of the present disclosure provides an early warning apparatus, which is applied to a first terminal, where the first terminal is a terminal facing a sampling mechanism, and the early warning apparatus includes:
the acquisition module is used for acquiring first sampling object information;
and the fourth sending module is used for sending the first sampling object information to a server so that the server stores the first sampling object information to a first database.
In an eighth aspect, an embodiment of the present disclosure provides an early warning device, which is applied to a second terminal, where the second terminal is a terminal facing a detection mechanism, and the early warning device includes:
and the fifth sending module is used for sending the detection result corresponding to the first sampling object information to the server so that the server stores the detection result corresponding to the first sampling object information to the second database and summarizes the detection result corresponding to the sampling object information stored in the second database.
Optionally, the early warning device further includes:
and the sixth sending module is used for sending the sample abolishing information to the server so that the server collects the sample abolishing information.
In a ninth aspect, an embodiment of the present disclosure provides an early warning apparatus, which is applied to a third terminal, where the third terminal is a terminal facing a supervision authority, and the early warning apparatus includes:
the fourth receiving module is used for receiving the first alarm information, the second alarm information or the third alarm information sent by the server;
the first warning information is used for indicating that abnormal query operation exists in a sampling mechanism or a detection mechanism, the second warning information is used for indicating that the detection mechanism abolishes abnormal quantity of samples, and the third warning information is used for indicating that the quantity of high-risk detection results is higher.
In a tenth aspect, embodiments of the present disclosure provide a server, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and when executed by the processor, implement the steps of the warning method according to the first aspect.
In an eleventh aspect, the disclosed embodiments provide a terminal, including a processor, a memory, and a program or instructions stored on the memory and executable on the processor, where the program or instructions, when executed by the processor, implement the steps of the warning method according to the second aspect; or, implementing the steps of the warning method according to the third aspect; still alternatively, the steps of the warning method according to the fourth aspect are implemented.
In a twelfth aspect, embodiments of the present disclosure provide a readable storage medium on which a program or instructions are stored, which when executed by a processor, implement the steps of the method according to the first aspect; or implementing the steps of the warning method according to the second aspect; or, implementing the steps of the warning method according to the third aspect; still alternatively, the steps of the warning method according to the fourth aspect are implemented.
In the embodiment of the disclosure, the sampling object information and the detection results corresponding to the sampling object information are respectively collected by different terminals, the data are managed and summarized by the server, and the early warning operation is executed under the condition that the preset conditions are met, which is equivalent to providing a real-time and convenient early warning mechanism for emergency events, so that the maintenance and supervision of the data related to the detection of the emergency events are more efficient and safer.
Drawings
Fig. 1 is a flowchart of an early warning method provided in an embodiment of the present disclosure;
fig. 2 is a second flowchart of an early warning method according to an embodiment of the disclosure;
fig. 3 is a third flowchart of an early warning method according to an embodiment of the disclosure;
fig. 4 is a fourth flowchart of an early warning method provided by the embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an early warning device according to an embodiment of the present disclosure;
fig. 6 is a second schematic structural diagram of an early warning device according to an embodiment of the disclosure;
fig. 7 is a third schematic structural diagram of an early warning device according to an embodiment of the disclosure;
fig. 8 is a fourth schematic structural diagram of an early warning device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The terms first, second and the like in the description and in the claims of the present disclosure are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the disclosure may be practiced other than those illustrated or described herein, and that the objects identified as "first," "second," etc. are generally a class of objects and do not limit the number of objects, e.g., a first object may be one or more. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
The early warning method provided by the embodiment of the present disclosure is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
The embodiment of the disclosure can be applied to scenes such as summarizing and counting related detection data in large-scale emergency events, early warning for abnormal operation of mechanisms and the like, and the embodiment of the disclosure is exemplified by taking nucleic acid detection data in epidemic situations as an example in the follow-up process.
Referring to fig. 1, fig. 1 is a flowchart of an early warning method provided by the embodiment of the present disclosure, which is applied to a server, and as shown in fig. 1, the method includes the following steps:
step 101, receiving first sampling object information sent by a first terminal, and storing the first sampling object information to a first database, wherein the first terminal is a terminal facing a sampling mechanism.
The embodiment of the disclosure can be applied to scenes of summarizing and counting relevant data of epidemic situation detection, monitoring epidemic situations in real time, early warning and the like.
The first terminal may be a terminal facing a sampling mechanism, such as a pharyngeal swab sampling mechanism, that is, the first terminal may be a platform terminal provided for a specific sampling mechanism to be used for inputting and managing information of a sampling object. The sampling object may be a subject sampled by a pharyngeal swab, and the information about the sampling object may be related information about the sampling object, such as name, sex, age, area, and other identification information, test tube number, and the like.
The server can be a background server for maintaining and managing the data related to epidemic situation detection, can interact with terminals facing different service organizations, performs statistics and summary and early warning report on the data of each terminal, and can also provide corresponding operation authorities such as data entry, data query and the like for different terminals.
Specifically, after sampling a sampling object, a sampling mechanism may place the sampling sample in a sampling test tube, where a code used for representing information of the sampling object, such as a barcode or a two-dimensional code, is attached to the sampling test tube, and the first terminal may obtain detailed information of the sampling object, that is, collect first sampling object information, where the first sampling object information may be information of any sampling object, and may further upload the first sampling object information to the server; the server may receive the first sampling object information sent by the first terminal, and may store the first sampling object information in a specific database, such as a first database, that is, the first database is dedicated to storing the received information of different sampling objects.
And 102, receiving a detection result corresponding to the first sampling object information sent by a second terminal, storing the detection result corresponding to the first sampling object information in a second database, and summarizing the detection results corresponding to the sampling object information stored in the second database to obtain summarized detection result data, wherein the second terminal is a terminal facing a detection mechanism.
The second terminal may be a terminal facing a detection mechanism, such as a nucleic acid detection mechanism, that is, the second terminal may be a platform terminal provided for a specific detection mechanism to obtain a detection result of a sampling object and manage the detection result of the sampling object.
Specifically, the sampling mechanism sends a sampling test tube of a sampling object to the detection mechanism for detection, after the detection is completed, the detection mechanism may record a detection result of the sampling object on the second terminal, including manual entry, or receive a detection result sent by a detection laboratory through a terminal, and of course, the second terminal may also obtain specific information of the sampling object, such as receiving information of the sampling object sent by the server, so that when a detection result of a certain sampling object is obtained, the detection result may be associated with corresponding information of the sampling object, and a detection result corresponding to any information of the sampling object may be uploaded to the server, such as sending a detection result corresponding to first information of the sampling object to the server; the server may receive the detection result corresponding to the first sampling object information sent by the second terminal, and may store the detection result corresponding to the first sampling object information in a specific database, such as a second database, that is, the second database is dedicated to store the received detection results corresponding to different sampling object information, where the second database may be a different database from the first database, or may be the same database, that is, the sampling object information and the detection result may be stored in a specific database.
103, executing an early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the first terminal is at risk.
Namely, the server can perform early warning on abnormal query operation of the sampling mechanism or the detection mechanism so as to prevent information leakage of the sampling object or reduce the risk of information leakage of the sampling object, and can perform early warning on risk data in the summary data of the detection result so as to start an emergency plan in time.
Specifically, the server may provide data query services to the first terminal and the second terminal, for example, the first terminal may request to query the server for sample object information, the second terminal may request to query the server for sample object information, detection results corresponding to the sample object information, and the like, the server may perform statistical early warning on the query operations of the first terminal and the second terminal to determine whether there is an abnormal query operation in the first terminal or the second terminal, for example, whether there are too many query times in a current time period, whether there are too many query objects or query information, and the like, and specifically may determine whether the query operation of the corresponding terminal is abnormal by performing statistical analysis on an operation log of a terminal user generated in the server, and in case that it is determined that there is an abnormality, the early warning operation can be executed, for example, warning information can be sent to a third terminal facing the supervision institution, or the inquiry access request of the current terminal is rejected, etc.
In addition, in order to facilitate the relevant personnel to know or monitor the current epidemic situation, the server may further summarize the detection results corresponding to the sampling object information stored in the second database, for example, count the total number of people with positive nucleic acid detection results and the distribution of people, the number of people with weak positive nucleic acid detection results, the number of people with positive nucleic acid detection results in a certain area, the number of people with positive nucleic acid detection results in a certain time period (for example, the current day, the last week, and the like), and the number of people with positive nucleic acid reinspection results in a certain area, so that different summary results can be obtained by summarizing and counting the detection results in different ways, and early warning can be performed based on the summary statistics results, or the detection results can be reported to supervision departments such as disease control department and health commission.
That is, the server may also determine whether to perform the warning operation based on the detection result summary data obtained by summarizing the detection results, specifically, may perform the warning operation if the detection result summary data indicates a risk, wherein, the summary data of the detection results indicates a risk, which may mean that at least one summary data indicates a risk in the summary data of the detection results, for example, the total number of positive test results exceeds a certain value, the number of newly added positive test results exceeds a certain value today, the number of positive test results exceeds a certain value in a certain area, etc., under the conditions, the server can send alarm information to the third terminal in time and report the detection result and summarized data, so that a supervision department can know and take relevant measures to deal with in time.
Optionally, after the step 102, the method further includes:
sending detection result summarized data to a third terminal;
alternatively, the step 103 includes:
under the condition that the number of the high-risk detection results exceeds a second preset number, sending third alarm information to a third terminal, wherein the third alarm information is used for indicating that the number of the high-risk detection results is higher;
and the third terminal is a terminal facing a supervision mechanism.
In order to facilitate the supervision department to timely know the current epidemic situation, the server can report the corresponding detection result summary data to the supervision mechanism after summarizing the detection results corresponding to the sampling object information stored in the second database, and also can send the detection result summary data to the third terminal facing the supervision mechanism, so that the supervision mechanism can timely acquire the current epidemic situation detection related data, and can timely make some early warning or preventive measures to control the epidemic situation development trend under the condition that the epidemic situation is serious or has a high infection risk through the acquired related data.
The detection result summary data may include the number of high-risk detection results (for example, the number of people with nucleic acid detection positive), the number of medium-risk detection results (for example, the number of people with nucleic acid detection weak positive), the number of low-risk detection results (for example, the number of people with nucleic acid detection negative), the number of high-risk detection results in each region, the number of daily high-risk detection result increments, and the like, and the specific detection result summary data may be set according to actual needs. Wherein a weak positive is indicative of a detection slightly above the normal threshold, which is generally indicative of a possible infection requiring a follow-up visit.
Or, a statistical early warning may be performed on the high-risk detection results, and when it is determined that the number of the high-risk detection results exceeds a certain number, for example, exceeds a second preset number, third warning information may be sent to the third terminal to indicate that the number of the high-risk detection results is higher, or of course, the specific number of the high-risk detection results may also be carried in the third warning information to be sent. Therefore, the monitoring mechanism can conveniently and timely know the high-risk detection result condition and can timely take corresponding early warning measures.
The second preset number may be set according to an actual situation, for example, the alarm may be performed when the number of the high-risk detection results reaches 100. The third terminal may be a terminal for a supervision agency facing a disease control department, health and fitness committee, or the like, that is, the third terminal may be a platform terminal provided for a specific supervision agency to use, for supervising and controlling operation behaviors of the sampling agency and the detection agency, and for detecting relevant data and the like.
Optionally, the method further includes:
receiving sample abolishing information sent by the second terminal;
summarizing the sample rejection information;
and sending second alarm information to a third terminal under the condition that the sample abolishing quantity is determined to exceed a first preset quantity, wherein the second alarm information is used for indicating that the detecting mechanism abolishes the abnormal sample quantity, and the third terminal is a terminal facing a monitoring mechanism.
Considering that in practice, the sample may be damaged due to improper storage or improper use of the sampling test tube, or the detection result may be invalid or may not be detected normally due to a detection process error, and for such cases, the second terminal may record the situation so as to count the sample abolishing situation, and perform re-audit evaluation on the detection qualification of the detection institution.
Therefore, in an embodiment, when the detection mechanism finds that a sampling test tube of a certain sampling object is discarded, the second terminal may record the information of the sampling object correspondingly, for example, a sample marking the information of the sampling object is discarded, and the second terminal may send the information of the sampling object marked as the discarded sample, that is, the discarded sample information, to the server; the server may receive the sample abolishing information sent by the second terminal, and further may collect the sample abolishing information, such as counting sample abolishing quantity, sample abolishing quantity ratio, and the like, in the case where it is determined that the number of discarded samples is large, such as exceeding a first preset number, it indicates that there is an abnormality in the number of discarded samples of the detection mechanism, and therefore, the condition can be reported to a supervision agency, that is, second alarm information can be sent to a third terminal to instruct the detection agency to abolish the sample quantity abnormality, therefore, the third terminal can receive the second alarm information sent by the server, and a monitoring mechanism can intervene in investigation on the detection mechanism after checking the alarm information through the third terminal, the detection qualification of the detection mechanism is reevaluated and evaluated, and the problems of medical resource waste or inaccurate detection result are avoided. The first preset number may be set according to an actual situation, for example, the alarm may be performed when the number of the sample rejections reaches 1000.
Therefore, the early warning is carried out by counting the sample abolishing quantity, so that the monitoring mechanism can be helped to conveniently supervise the detection mechanism in real time through the digital platform.
Optionally, the step 103 includes:
under the condition of receiving a query request of a target database sent by a target terminal, judging whether the query request frequency of the target terminal exceeds a preset frequency threshold value, wherein the target terminal is the first terminal, the target database is the first database, or the target terminal is the second terminal, and the target database is the second database;
and executing early warning operation under the condition that the number of times of the query request is determined to exceed a preset number threshold.
In an implementation mode, certain monitoring and early warning can be performed on platform operation behaviors of the sampling mechanism and the detection mechanism to prevent information leakage of the sampling object or reduce the risk of information leakage of the sampling object.
Specifically, the sampling mechanism may query the information of the sampling object through the first terminal, that is, may perform a query operation on the first terminal to request to query specific information of the sampling object, the first terminal may send a corresponding query request to the server based on a user operation, the server may receive the query request, and enter a database storing the information of the sampling object, that is, a first database, to query the required information of the sampling object, and after the query is completed, may return a corresponding query result to the first terminal, and the first terminal may display the specific information of the sampling object returned by the server on an interface.
In order to perform statistical early warning on the query request operation of the sampling mechanism and avoid the sampling mechanism from leaking the information of the sampling object, the server may perform statistics on the query request times sent by the first terminal, specifically, may perform statistics on the query request times or the total historical query request times of the first terminal within a certain recent time period (such as a recent hour, a recent day, and the like), so that, in the case of receiving the query request sent by the first terminal to the first database, it may be determined whether the current query request times of the first terminal exceed the limit, that is, whether the current query request times of the first terminal exceed the preset time threshold, if so, it indicates that the query operation of the current sampling mechanism is frequent and there is a suspicious behavior of intentionally obtaining the information of the sampling object, therefore, in this case, an early warning operation may be performed, for example, to prompt that the current operation is frequent, to verify the identity of the first terminal, to prohibit access of the first terminal in a limited time, to report to a monitoring mechanism, and the like. And under the condition that the current query request frequency of the first terminal does not exceed the limit, namely the preset frequency threshold value, the first terminal can normally respond to the query request of the first terminal without any early warning operation.
Similarly, for the query operation of the detection mechanism, for example, the statistical early warning of querying the detection result corresponding to the information of the sampling object may also be implemented in the manner described above for the first terminal. That is, the detection mechanism may query the detection result corresponding to the information of the sampling object through the second terminal, that is, query operation may be performed on the second terminal to request to query the detection result of the specific sampling object, the second terminal may send a corresponding query request to the server based on user operation, the server may receive the query request and enter a database, that is, a second database, storing the detection result corresponding to the information of the sampling object, to query the detection result of the required sampling object, after the query is completed, the corresponding query result may be returned to the second terminal, and the second terminal may display the detection result of the specific sampling object returned by the server on the interface.
In order to perform statistical early warning on the query request operation of the detection mechanism and avoid the detection mechanism from leaking the detection result of the sampling object, the server may perform statistics on the query request times sent by the second terminal, specifically, may perform statistics on the query request times or the total historical query request times of the second terminal within a certain recent time period (such as a recent hour, a current day, and the like), so that, when receiving the query request sent by the second terminal to the second database, it may be determined whether the current query request times of the second terminal exceed the preset time threshold value, based on the counted query request times of the second terminal and a preset time threshold value, if so, it indicates that the query operation of the current detection mechanism is frequent and there is a suspicious behavior of intentionally obtaining the detection result of the sampling object, therefore, in this case, an early warning operation may be performed, for example, to prompt that the current operation is frequent, to verify the identity of the second terminal, to prohibit access of the second terminal in a limited time, to report to a monitoring mechanism, and the like. And under the condition that the current query request frequency of the second terminal does not exceed the limit, namely the preset frequency threshold, no early warning operation can be carried out, and the query request of the second terminal can be normally responded.
It should be noted that the preset time threshold corresponding to the second terminal may be different from or the same as the preset time threshold corresponding to the first terminal, and may be specifically set according to actual requirements.
When the server counts the number of times of query requests of any one of the first terminal and the second terminal, a corresponding user log may be generated for each query operation of the terminal user, that is, a specific query event may be recorded in each user log, then the total number of times of query requests of the terminal may be counted by auditing the user logs, and when the query request of the terminal is received each time, the counted number of times of query requests may be obtained, and it is determined whether the query request is the N +1 th query, where N is a preset maximum allowable number of times of query requests, that is, a preset number threshold, if so, an early warning operation may be performed, otherwise, the query request of the terminal may be normally responded, and the counted number of times of query requests of the terminal may be updated.
Wherein the early warning operation may include any one of:
sending verification code information to the target terminal;
rejecting the query request of the target terminal;
and sending first alarm information to a third terminal, wherein the first alarm information is used for indicating that an abnormal query operation exists in a mechanism corresponding to the target terminal, and the third terminal is a terminal facing a supervision mechanism.
Namely, the execution of the early warning operation may be to send verification code information to the terminal sending the query request to verify the operation of the terminal user, so as to avoid the excessively frequent query; or, the query request of the current terminal may be rejected, for example, a prompt message that the current operation times are too many and the access is prohibited is returned to the terminal, and certainly, in order to ensure the normal query requirement of the terminal, the query request of the terminal may be only temporarily rejected, and the query request of the terminal is automatically allowed to be recovered after a certain time; or, the first warning information may be sent to the third terminal to indicate that an abnormal query operation exists in a mechanism corresponding to the terminal that currently sends the query request, that is, the behavior of the mechanism that currently frequently requests to query the relevant information of the sampling object may be reported to the monitoring mechanism, so that the monitoring mechanism may timely know the abnormal query condition of the sampling mechanism or the detection mechanism, and may take certain measures to timely intervene in the information leakage behavior of the troubleshooting mechanism.
Therefore, certain monitoring and early warning are carried out on the operation behaviors of the user of the sampling mechanism or the detection mechanism on the respective terminal platform, and the purpose of preventing the information leakage of the sampling object or reducing the risk of the information leakage of the sampling object can be achieved.
In the early warning method in this embodiment, a server receives first sampling object information sent by a first terminal, and stores the first sampling object information in a first database, where the first terminal is a terminal facing a sampling mechanism; the server receives a detection result corresponding to the first sampling object information sent by a second terminal, stores the detection result corresponding to the first sampling object information into a second database, and summarizes the detection result corresponding to the sampling object information stored in the second database to obtain detection result summarized data, wherein the second terminal is a terminal facing a detection mechanism; and executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the risk exists. Therefore, the sampling object information and the detection results corresponding to the sampling object information are respectively collected through different terminals, the data are managed and summarized through the server, and the early warning operation is executed under the condition that the preset conditions are met, namely, a real-time and convenient early warning mechanism for emergency events is provided, so that the maintenance and supervision of the relevant data for detecting the emergency events are more efficient and safer.
Referring to fig. 2, fig. 2 is a flowchart of an early warning method provided by the embodiment of the present disclosure, and the early warning method is applied to a first terminal, where the first terminal is a terminal facing a sampling mechanism, and as shown in fig. 2, the method includes the following steps:
step 201, collecting first sampling object information, and sending the first sampling object information to a server, so that the server stores the first sampling object information to a first database.
It should be noted that, this embodiment is taken as an embodiment of the first terminal side corresponding to the embodiment shown in fig. 1, and specific implementation manners thereof may refer to related descriptions in the embodiment shown in fig. 1, and in order to avoid repeated descriptions, this embodiment is not described again.
In the early warning method in this embodiment, a first terminal acquires first sampling object information and sends the first sampling object information to a server, so that the server stores the first sampling object information in a first database. Therefore, the sampling object information is collected and sent to the server, so that the server can manage and summarize the data conveniently, and the maintenance and supervision of the relevant data of emergency detection are more efficient and convenient.
Referring to fig. 3, fig. 3 is a flowchart of an early warning method provided by the embodiment of the present disclosure, and is applied to a second terminal, where the second terminal is a terminal facing a detection mechanism, and as shown in fig. 3, the method includes the following steps:
step 301, sending a detection result corresponding to first sampling object information to a server, so that the server stores the detection result corresponding to the first sampling object information to a second database, and summarizes the detection result corresponding to the sampling object information stored in the second database.
Optionally, the method further includes:
and sending sample revocation information to the server so that the server summarizes the sample revocation information.
It should be noted that, this embodiment is taken as an embodiment of the second terminal side corresponding to the embodiment shown in fig. 1, and specific implementation manners thereof may refer to related descriptions in the embodiment shown in fig. 1, and in order to avoid repeated descriptions, this embodiment is not described again.
In the early warning method in this embodiment, the second terminal sends the detection result corresponding to the first sampling object information to the server, so that the server stores the detection result corresponding to the first sampling object information in the second database, and summarizes the detection result corresponding to the sampling object information stored in the second database. Therefore, the detection results corresponding to the information of the sampling objects are collected and sent to the server, so that the server can manage and gather the data conveniently, and the maintenance and supervision of the data related to the emergency detection are more efficient and convenient.
Referring to fig. 4, fig. 4 is a flowchart of an early warning method provided by the embodiment of the present disclosure, which is applied to a third terminal, where the third terminal is a terminal facing a regulatory authority, and as shown in fig. 4, the method includes the following steps:
step 401, receiving first alarm information, second alarm information or third alarm information sent by a server;
the first warning information is used for indicating that abnormal query operation exists in a sampling mechanism or a detection mechanism, the second warning information is used for indicating that the detection mechanism abolishes abnormal quantity of samples, and the third warning information is used for indicating that the quantity of high-risk detection results is higher.
It should be noted that, this embodiment is taken as an embodiment of the third terminal side corresponding to the embodiment shown in fig. 1, and specific implementation manners thereof may refer to related descriptions in the embodiment shown in fig. 1, and in order to avoid repeated descriptions, this embodiment is not described again.
In the early warning method in this embodiment, the third terminal receives the first warning information, the second warning information, or the third warning information sent by the server. Therefore, after the data relevant to the emergency detection is collected, the monitoring mechanism is timely warned based on the collection result, so that the maintenance and the monitoring of the data relevant to the emergency detection are more efficient and safer.
The embodiment of the present disclosure further provides an early warning system, which includes a first terminal, a second terminal and a server, wherein the first terminal is a terminal facing the sampling mechanism, the second terminal is a terminal facing the detection mechanism, and wherein,
the first terminal is used for acquiring first sampling object information and sending the first sampling object information to the server;
the server is used for receiving first sampling object information sent by the first terminal and storing the first sampling object information to a first database;
the second terminal is used for sending a detection result corresponding to the first sampling object information to the server;
the server is further configured to receive a detection result corresponding to the first sampling object information sent by the second terminal, store the detection result corresponding to the first sampling object information in a second database, and summarize the detection results corresponding to the sampling object information stored in the second database to obtain summarized detection result data; and executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the risk exists.
Optionally, the early warning system further includes a third terminal, where the third terminal is a terminal facing a supervision authority;
the server is also used for sending first alarm information, second alarm information or third alarm information to the third terminal;
the third terminal is used for receiving the first alarm information, the second alarm information or the third alarm information sent by the server;
the first warning information is used for indicating that the sampling mechanism or the detection mechanism has abnormal query operation, the second warning information is used for indicating that the detection mechanism abolishes the abnormal quantity of samples, and the third warning information is used for indicating that the quantity of high-risk detection results is higher.
It should be noted that this embodiment is taken as an embodiment of a system side corresponding to the embodiment shown in fig. 1, where reference may be made to related descriptions in the embodiment shown in fig. 1 for specific embodiments of the first terminal, the second terminal, the third terminal, and the server, and in order to avoid repeated descriptions, the detailed description of this embodiment is omitted.
The early warning system in the embodiment of the disclosure collects the information of the sampling object and the detection results corresponding to the information of the sampling object through different terminals respectively, manages and summarizes the data through the server, and executes the early warning operation under the condition of meeting the preset conditions, namely, provides a real-time and convenient early warning mechanism for emergency events, so that the maintenance and supervision of the data related to the detection of the emergency events are more efficient and safer.
It should be noted that, in the warning method provided in the embodiment of the present disclosure, the execution main body may be a warning device, or a control module in the warning device for executing the warning method. In the embodiment of the present disclosure, an early warning device executes an early warning method as an example, which illustrates the early warning device provided in the embodiment of the present disclosure.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an early warning apparatus provided in an embodiment of the present disclosure, and is applied to a server, as shown in fig. 5, an early warning apparatus 500 includes:
a first receiving module 501, configured to receive first sampling object information sent by a first terminal, and store the first sampling object information in a first database, where the first terminal is a terminal facing a sampling mechanism;
a second receiving module 502, configured to receive a detection result corresponding to the first sampling object information sent by a second terminal, store the detection result corresponding to the first sampling object information in a second database, and summarize the detection result corresponding to the sampling object information stored in the second database to obtain summarized detection result data, where the second terminal is a terminal facing a detection mechanism;
the early warning module 503 is configured to execute an early warning operation when a preset condition is met, where the preset condition includes that the first terminal has an abnormal query operation, the second terminal has an abnormal query operation, or the detection result summary data indicates that there is a risk.
Optionally, the early warning module 503 includes:
the system comprises a first processing unit, a second processing unit and a third processing unit, wherein the first processing unit is used for judging whether the query request frequency of a target terminal exceeds a preset frequency threshold value or not under the condition of receiving a query request of the target database sent by the target terminal, wherein the target terminal is the first terminal, the target database is the first database, or the target terminal is the second terminal, and the target database is the second database;
and the early warning unit is used for executing early warning operation under the condition that the query request frequency is determined to exceed a preset frequency threshold value.
Optionally, the early warning operation includes any one of:
sending verification code information to the target terminal;
rejecting the query request of the target terminal;
and sending first alarm information to a third terminal, wherein the first alarm information is used for indicating that an abnormal query operation exists in a mechanism corresponding to the target terminal, and the third terminal is a terminal facing a supervision mechanism.
Optionally, the early warning apparatus 500 further includes:
the third receiving module is used for receiving the sample abolishing information sent by the second terminal;
the second processing module is used for summarizing the sample abolishing information;
the first sending module is used for sending second alarm information to a third terminal under the condition that the sample abolishing quantity is determined to exceed a first preset quantity, wherein the second alarm information is used for indicating that the detecting mechanism abolishes the abnormal quantity of the sample, and the third terminal is a terminal facing a monitoring mechanism.
Optionally, the early warning apparatus 500 further includes:
the second sending module is used for sending the detection result summarized data to the third terminal;
or, the early warning module 503 is configured to send third warning information to the third terminal when it is determined that the number of the high-risk detection results exceeds a second preset number, where the third warning information is used to indicate that the number of the high-risk detection results is higher;
and the third terminal is a terminal facing a supervision mechanism.
The early warning device in this embodiment collects the testing result that sample object information and sample object information correspond respectively through each different terminal to manage and summarize these data through the server, and under the condition that satisfies the preset condition, carry out the early warning operation, also be equivalent to providing a real-time convenient early warning mechanism that is used for emergency, make maintenance and supervision that detect relevant data corresponding to emergency more high-efficient safety.
The early warning device in this embodiment may be a device, or may be a component, an integrated circuit, or a chip in a server. The apparatus may be a non-mobile electronic device, for example, the non-mobile electronic device may be a server, and the like, and the embodiment of the present disclosure is not particularly limited.
The early warning device in this embodiment may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and the embodiment of the present disclosure is not particularly limited.
The early warning apparatus provided in this embodiment can implement each process implemented by the server in the method embodiment of fig. 1, and is not described here again to avoid repetition.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an early warning apparatus provided in the embodiment of the present disclosure, and is applied to a first terminal, where the first terminal is a terminal facing a sampling mechanism, and as shown in fig. 6, the early warning apparatus 600 includes:
the acquisition module 601 is configured to acquire first sampling object information;
a fourth sending module 602, configured to send the first sampling object information to a server, so that the server stores the first sampling object information in a first database.
The early warning device in the embodiment of the disclosure can be convenient for the server to manage and summarize the data by collecting and sending the information of the sampling objects to the server, so that the maintenance and supervision of the relevant data corresponding to the emergency detection are more efficient and convenient.
The early warning device in this embodiment may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be a mobile terminal or a non-mobile terminal. For example, the mobile terminal may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted terminal, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile terminal may be a Network Attached Storage (NAS), a Personal Computer (PC), a television (television, TV), a teller machine, a self-service machine, and the like, and the disclosed embodiment is not limited in particular.
The early warning device in this embodiment may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and the embodiment of the present disclosure is not particularly limited.
The early warning apparatus provided in this embodiment can implement each process implemented by the first terminal in the method embodiment of fig. 2, and is not described here again to avoid repetition.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an early warning apparatus provided in the embodiment of the present disclosure, and is applied to a second terminal, where the second terminal is a terminal facing a detection mechanism, and as shown in fig. 7, the early warning apparatus 700 includes:
a fifth sending module 701, configured to send a detection result corresponding to first sampling object information to a server, so that the server stores the detection result corresponding to the first sampling object information in a second database, and summarizes the detection results corresponding to the sampling object information stored in the second database.
Optionally, the early warning apparatus 700 further includes:
and the sixth sending module is used for sending the sample abolishing information to the server so that the server collects the sample abolishing information.
The early warning device in this embodiment, through collecting and to the corresponding testing result of server transmission sampling object information, can be convenient for the server to manage and gather these data for maintenance and supervision that detect relevant data corresponding to the emergency are more efficient convenient.
The early warning device in this embodiment may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be a mobile terminal or a non-mobile terminal. For example, the mobile terminal may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted terminal, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile terminal may be a Network Attached Storage (NAS), a Personal Computer (PC), a television (television, TV), a teller machine, a self-service machine, and the like, and the disclosed embodiment is not limited in particular.
The early warning device in this embodiment may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and the embodiment of the present disclosure is not particularly limited.
The early warning apparatus provided in this embodiment can implement each process implemented by the second terminal in the method embodiment of fig. 3, and is not described here again to avoid repetition.
Referring to fig. 8, fig. 8 is a schematic structural diagram of an early warning apparatus provided in the embodiment of the present disclosure, and is applied to a third terminal, where the third terminal is a terminal facing a supervision authority, and as shown in fig. 8, the early warning apparatus 800 includes:
a fourth receiving module 801, configured to receive the first warning information, the second warning information, or the third warning information sent by the server;
the first warning information is used for indicating that abnormal query operation exists in a sampling mechanism or a detection mechanism, the second warning information is used for indicating that the detection mechanism abolishes abnormal quantity of samples, and the third warning information is used for indicating that the quantity of high-risk detection results is higher.
The early warning device in this embodiment, after gathering corresponding urgent incident detection relevant data, through in time reporting an emergency to the police to the regulatory agency based on the result that gathers for maintenance and supervision corresponding urgent incident detection relevant data are more high-efficient safety.
The early warning device in this embodiment may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be a mobile terminal or a non-mobile terminal. For example, the mobile terminal may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted terminal, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile terminal may be a Network Attached Storage (NAS), a Personal Computer (PC), a television (television, TV), a teller machine, a self-service machine, and the like, and the disclosed embodiment is not limited in particular.
The early warning device in this embodiment may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and the embodiment of the present disclosure is not particularly limited.
The early warning apparatus provided in this embodiment can implement each process implemented by the third terminal in the method embodiment of fig. 4, and is not described here again to avoid repetition.
The embodiment of the present disclosure further provides a server, which includes a processor, a memory, and a program or an instruction stored in the memory and capable of running on the processor, where the program or the instruction is executed by the processor to implement each process of the embodiment of the warning method shown in fig. 1, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The embodiment of the present disclosure further provides a terminal, which includes a processor, a memory, and a program or an instruction stored in the memory and capable of running on the processor, where the program or the instruction is executed by the processor to implement each process of the above-mentioned embodiments of the warning method shown in fig. 2, fig. 3, or fig. 4, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
It should be noted that the terminal in the embodiment of the present disclosure includes the mobile terminal and the non-mobile terminal described above.
The embodiment of the present disclosure further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of any one of the foregoing early warning method embodiments in fig. 1 to fig. 4, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it is noted that the scope of the methods and apparatus in the embodiments of the present disclosure is not limited to performing functions in the order shown or discussed, but may include performing functions in a substantially simultaneous manner or in a reverse order depending on the functionality involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present disclosure.
While the present disclosure has been described with reference to the embodiments illustrated in the drawings, which are intended to be illustrative rather than restrictive, it will be apparent to those of ordinary skill in the art in light of the present disclosure that many more modifications may be made without departing from the spirit of the disclosure and the scope of the appended claims.

Claims (12)

1. An early warning method is applied to a server, and is characterized in that the method comprises the following steps:
receiving first sampling object information sent by a first terminal, and storing the first sampling object information to a first database, wherein the first terminal is a terminal facing a sampling mechanism;
receiving a detection result corresponding to the first sampling object information sent by a second terminal, storing the detection result corresponding to the first sampling object information in a second database, and summarizing the detection results corresponding to the sampling object information stored in the second database to obtain detection result summarized data, wherein the second terminal is a terminal facing a detection mechanism;
and executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the risk exists.
2. The method according to claim 1, wherein the performing an early warning operation in case of meeting a preset condition comprises:
under the condition of receiving a query request of a target database sent by a target terminal, judging whether the query request frequency of the target terminal exceeds a preset frequency threshold value, wherein the target terminal is the first terminal, the target database is the first database, or the target terminal is the second terminal, and the target database is the second database;
and executing early warning operation under the condition that the number of times of the query request is determined to exceed a preset number threshold.
3. The method of claim 2, wherein the pre-warning operation comprises any one of:
sending verification code information to the target terminal;
rejecting the query request of the target terminal;
and sending first alarm information to a third terminal, wherein the first alarm information is used for indicating that an abnormal query operation exists in a mechanism corresponding to the target terminal, and the third terminal is a terminal facing a supervision mechanism.
4. The method of claim 1, further comprising:
receiving sample abolishing information sent by the second terminal;
summarizing the sample rejection information;
and sending second alarm information to a third terminal under the condition that the sample abolishing quantity is determined to exceed a first preset quantity, wherein the second alarm information is used for indicating that the detecting mechanism abolishes the abnormal sample quantity, and the third terminal is a terminal facing a monitoring mechanism.
5. The method according to claim 1, wherein after summarizing the detection results corresponding to the information on the sampling objects stored in the second database, the method further comprises:
sending detection result summarized data to a third terminal;
or, under the condition that the preset condition is met, executing early warning operation, including:
under the condition that the number of the high-risk detection results exceeds a second preset number, sending third alarm information to a third terminal, wherein the third alarm information is used for indicating that the number of the high-risk detection results is higher;
and the third terminal is a terminal facing a supervision mechanism.
6. An early warning method is applied to a first terminal, and is characterized in that the first terminal is a terminal facing a sampling mechanism, and the method comprises the following steps:
the method comprises the steps of collecting first sampling object information and sending the first sampling object information to a server, so that the server stores the first sampling object information to a first database.
7. An early warning method is applied to a second terminal, and is characterized in that the second terminal is a terminal facing a detection mechanism, and the method comprises the following steps:
and sending a detection result corresponding to the first sampling object information to a server so that the server stores the detection result corresponding to the first sampling object information to a second database, and summarizing the detection results corresponding to the sampling object information stored in the second database.
8. The method of claim 7, further comprising:
and sending sample revocation information to the server so that the server summarizes the sample revocation information.
9. An early warning system is characterized by comprising a first terminal, a second terminal and a server, wherein the first terminal is a terminal facing a sampling mechanism, the second terminal is a terminal facing a detection mechanism,
the first terminal is used for acquiring first sampling object information and sending the first sampling object information to the server;
the server is used for receiving first sampling object information sent by the first terminal and storing the first sampling object information to a first database;
the second terminal is used for sending a detection result corresponding to the first sampling object information to the server;
the server is further configured to receive a detection result corresponding to the first sampling object information sent by the second terminal, store the detection result corresponding to the first sampling object information in a second database, and summarize the detection results corresponding to the sampling object information stored in the second database to obtain summarized detection result data; and executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the risk exists.
10. The utility model provides an early warning device, is applied to the server which characterized in that, early warning device includes:
the system comprises a first receiving module, a first database and a second receiving module, wherein the first receiving module is used for receiving first sampling object information sent by a first terminal and storing the first sampling object information to the first database, and the first terminal is a terminal facing a sampling mechanism;
the second receiving module is configured to receive a detection result corresponding to the first sampling object information sent by a second terminal, store the detection result corresponding to the first sampling object information in a second database, and summarize the detection results corresponding to the sampling object information stored in the second database to obtain summarized detection result data, where the second terminal is a terminal facing a detection mechanism;
and the early warning module is used for executing early warning operation under the condition that a preset condition is met, wherein the preset condition comprises that the first terminal has abnormal query operation, the second terminal has abnormal query operation or the detection result summarized data indicates that the first terminal is risky.
11. A server, comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the warning method of any one of claims 1 to 5.
12. A readable storage medium, on which a program or instructions are stored, which when executed by a processor, carry out the steps of the warning method according to any one of claims 1 to 5; or, the step of implementing the warning method of claim 6; or implementing the steps of the warning method as claimed in claim 7 or 8.
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