CN114924902A - Information processing method and device and electronic equipment - Google Patents

Information processing method and device and electronic equipment Download PDF

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Publication number
CN114924902A
CN114924902A CN202210588928.0A CN202210588928A CN114924902A CN 114924902 A CN114924902 A CN 114924902A CN 202210588928 A CN202210588928 A CN 202210588928A CN 114924902 A CN114924902 A CN 114924902A
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Prior art keywords
sampling
test tube
target
log information
database
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Chinese (zh)
Inventor
任承明
张含波
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Beijing SoundAI Technology Co Ltd
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Beijing SoundAI Technology Co Ltd
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Priority to CN202210588928.0A priority Critical patent/CN114924902A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0793—Remedial or corrective actions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0766—Error or fault reporting or storing
    • 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
    • G06F16/21—Design, administration or maintenance of databases
    • G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors

Abstract

The disclosure relates to the technical field of communication, and provides an information processing method, an information processing device and electronic equipment, so as to solve the problem of poor information correction efficiency. The method comprises the following steps: detecting a sampling database at preset time intervals, wherein the sampling database comprises a plurality of test tube marks and user information related to each test tube mark; under the condition that the sampling database is detected to be abnormal, acquiring sampling log information of a target sampling equipment end related to an abnormal test tube mark; and correcting the sampling database by using the log information associated with the abnormal test tube mark in the sampling log information so as to improve the correction efficiency of the sampling database.

Description

Information processing method and device and electronic equipment
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to an information processing method and apparatus, and an electronic device.
Background
At present, in the nucleic acid testing process, generally adopt the mixed sampling of unification more, scan test tube bar code and user's two-dimensional code through the sampling equipment end, carry out the information analysis, can obtain test tube sign and user information, the sampling equipment end with test tube sign and user information upload to the sampling database in high in the clouds.
However, data in the sampling database may be easily mistaken due to a poor sampling environment, for example, a network is poor or an anomaly occurs in a cloud, and currently, checking and correcting are generally performed in a manual rechecking manner to improve accuracy of the sampling data, which is inefficient.
Disclosure of Invention
The embodiment of the disclosure provides an information processing method and device and electronic equipment, and aims to solve the problem of poor efficiency of existing data correction.
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 information processing method, where the method includes:
detecting a sampling database at preset time intervals, wherein the sampling database comprises a plurality of test tube marks and user information related to each test tube mark;
under the condition that the sampling database is detected to be abnormal, acquiring sampling log information of a target sampling equipment end related to an abnormal test tube mark;
and correcting the sampling database by utilizing the log information associated with the abnormal test tube mark in the sampling log information.
In a second aspect, an embodiment of the present disclosure further provides an information processing apparatus, where the apparatus includes:
the detection module is used for detecting a sampling database at preset time intervals, wherein the sampling database comprises a plurality of test tube marks and user information related to each test tube mark;
the information acquisition module is used for acquiring sampling log information of a target sampling equipment end related to an abnormal test tube mark under the condition that the sampling database is detected to be abnormal;
and the correcting module is used for correcting the sampling database by utilizing the log information associated with the abnormal test tube mark in the sampling log information.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, including: the present disclosure relates to a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to realize the steps of the method provided by the embodiments of the present disclosure.
In a fourth aspect, the disclosed embodiments also provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the methods provided by the embodiments of the disclosure.
In this embodiment, in the process of correcting the abnormal sampling database, the sampling log information of the target sampling device end associated with the abnormal test tube label can be acquired, and the sampling database is corrected by using the log information of the target sampling device end associated with the abnormal test tube label, so that manual checking and correction are not needed, and the efficiency of correcting the sampling data can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required to be used in the description of the embodiments of the present disclosure will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings may be obtained according to the drawings without inventive labor.
Fig. 1 is a flowchart of an information processing method provided by an embodiment of the present disclosure;
fig. 2 is a second flowchart of an information processing method provided by the embodiment of the disclosure;
FIG. 3 is one of block diagrams of an information processing apparatus provided by an embodiment of the present disclosure;
fig. 4 is a second schematic block diagram of an information processing apparatus according to an embodiment of the disclosure;
fig. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a computer-readable storage medium provided by an embodiment of the 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.
Referring to fig. 1, an information processing method according to an embodiment is provided, where the method includes the steps of:
step 101: and detecting a sampling database at preset time intervals, wherein the sampling database comprises a plurality of test tube marks and user information related to each test tube mark.
In the nucleic acid testing process, the accessible test tube holds detection instrument, for example, detects cotton swab head etc. and every test tube has corresponding mark for distinguish different test tubes, and the test tube uses the back, and the test tube mark is relevant corresponding user information, can be convenient for confirm that the test tube corresponds detected the user. Sampling device end accessible intelligence sampling software scans the test tube code (for example, can be bar code, two-dimensional code etc.) that sets up on the test tube to obtain the test tube sign indicating number, sampling device end scans user's user code (for example, two-dimensional code) etc. so as to obtain user information, but the test tube sign indicating number correlation corresponds user information, and the sampling device end can upload the data that the sampling obtained to the high in the clouds, stores in the sampling database at high in the clouds. In this embodiment, the sampling database may be subjected to anomaly detection at intervals of a preset duration, so as to realize periodic detection of the sampling database, where the preset duration may be 2 hours, 12 hours, 24 hours, and the like, and the preset duration may be set according to the requirements of those skilled in the art, and is not limited herein.
It should be noted that the information processing method of the embodiment may be applied to a cloud, a nucleic acid detection tube repair tool may be set in the cloud, and the process of the information processing method of the embodiment may be implemented by the nucleic acid detection tube repair tool.
Step 102: and under the condition that the sampling database is detected to be abnormal, acquiring sampling log information of a target sampling equipment end related to the abnormal test tube mark.
In addition, the sampling device side performs data sampling, sampling log information can be generated (for example, each sampling step can form log information to be stored in a log file), the sampling log information can include sampling test tube marks, corresponding user information and the like, the sampling device side can also upload the generated sampling log information to the cloud, and in the process of uploading the sampling log information, if log uploading fails due to problems (such as network problems and the like), the sampling log information needs to be uploaded again until uploading is successful, and it can be understood that the sampling log information stored in the cloud includes complete and correct information. It should be noted that the sampling log information generated by the sampling device side may be in the following form:
scanning test tube code logs: save tube label (tubeCode);
scanning the data structure of the log after the user code: the user name, the user identification information and the test tube label, for example, 10 pieces of log information can be formed after scanning 10 users, and the corresponding user name, the user identification card label and the like can be searched only by searching the corresponding test tube label.
In this embodiment, when it is detected that the sampling database is abnormal, it indicates that a problem may occur in the process of uploading the sampling data by the sampling device end, which results in that the data uploaded to the cloud sampling database is abnormal, at this time, the sampling log information of the target sampling device end associated with the abnormal test tube mark may be pulled, and the abnormal test tube mark may be understood as a mark of a test tube corresponding to the abnormal data. The target sampling device end related to the abnormal test tube label can be understood as a sampling device end for acquiring the test tube code of the abnormal test tube to obtain the abnormal test tube label. For example, the sample database may be periodically detected for abnormalities by a nucleic acid detection tube repair tool, and in the case of detecting an abnormality in the sample database, the nucleic acid detection tube repair tool may automatically pull the sample log information of the target sampling device associated with the abnormal tube label.
Step 103: and correcting the sampling database by using the log information associated with the abnormal test tube mark in the sampling log information.
And acquiring sampling log information of a target sampling equipment end related to the abnormal test tube mark, namely correcting the sampling database by utilizing the log information related to the abnormal test tube mark in the sampling log information of the target sampling equipment end so as to improve the accuracy of the sampling database.
In this embodiment, in the process of correcting the abnormal sampling database, the sampling log information of the target sampling device end associated with the abnormal test tube label can be acquired, and the sampling database is corrected by using the log information of the target sampling device end associated with the abnormal test tube label, so that manual check and correction are not needed, and the efficiency of correcting the sampling data can be improved. Meanwhile, the accuracy of the sampled data in the sampling database can be improved.
In one embodiment, in the case that an abnormality is detected in the sampling database, acquiring sampling log information of a target sampling device end associated with an abnormal test tube label, where the sampling log information includes at least one of the following:
determining that the target test tube label is abnormal under the condition that the number of users of user information related to the target test tube label in the plurality of test tube labels is not a preset number, and acquiring sampling log information of a target sampling equipment end related to the target test tube label;
under the condition that repeated information exists in user information related to a target test tube mark in a plurality of test tube marks, determining that the target test tube mark is abnormal, and acquiring sampling log information of a target sampling equipment end related to the target test tube mark;
determining that the target test tube label is abnormal and acquiring sampling log information of a target sampling equipment end associated with the target test tube label under the condition that the number of users of user information associated with the target test tube label in the plurality of test tube labels is not a preset number and repeated information exists in the user information associated with the target test tube label;
under the condition that the sampling database does not include the target test tube mark and the sampling log information of the N sampling equipment ends includes the target test tube mark, determining that the target test tube mark is abnormal, and acquiring the sampling log information of the target sampling equipment end related to the target test tube mark, wherein the N sampling equipment ends include the target sampling equipment end, and N is a positive integer.
In this embodiment, whether the sample database is abnormal may be detected through at least one of the four manners, for example, whether the number of users of the user information associated with the test tube identifier in the sample database is a preset number (for example, 10), and if the number of users is not the preset number, it may be determined that the sample database is abnormal, and the test tube identifier is an abnormal test tube identifier. For example, it may be detected whether there is duplicate information in the user information associated with the tube label in the sampling database, and if there is duplicate information, it may be determined that the sampling database is abnormal, and the tube label is an abnormal tube label. For another example, it may be detected whether the number of users of the user information associated with the test tube label in the sampling database is a preset number and whether there is repeated information in the user information associated with the test tube label, and if the number of users is not the preset number and there is repeated information, it may be determined that the sampling database is abnormal, and the test tube label is an abnormal test tube label. For another example, the sampling database may be compared with sampling log information associated with the sampling device end, and once it is detected that a test tube label is not included in the sampling database and the sampling log information associated with the sampling device end includes the test tube label, it is determined that the sampling database is abnormal, that is, the test tube label in the log is omitted from the sampling database, and the test tube label is an abnormal test tube label.
In this embodiment, different manners may be adopted to determine whether the sampling database is abnormal, so as to improve the flexibility of detecting the abnormality.
In one embodiment, the log information associated with the target tube label in the sample log information is used to correct the user information of the target tube label, which includes one of:
comparing user information in the log information associated with the target test tube mark with user information associated with the target test tube mark in the sampling database, determining missing user information, supplementing the missing user information into the sampling database, and associating the missing user information with the target test tube mark;
comparing the user information in the log information associated with the target test tube mark with the user information associated with the target test tube mark in the sampling database, determining redundant user information, and deleting the redundant user information in the user information associated with the target test tube mark in the sampling database;
removing the duplicate of the user information related to the target test tube mark in the sampling database;
and supplementing the user information in the log information associated with the target test tube mark into the sampling database.
It can be understood that the missing user information is information that exists in the user information in the log information associated with the target test tube label but does not exist in the user information associated with the target test tube label in the sampling database, and if the missing user information exists, which indicates that the user information associated with the target test tube label in the sampling database is not uniform, the missing user information may be supplemented to the sampling database. The redundant user information is information which does not exist in the user information in the log information associated with the target test tube label but exists in the user information associated with the target test tube label in the sampling database, and if the redundant user information exists, the redundant user information in the user information associated with the target test tube label in the sampling database can be deleted. Under the condition that repeated information exists in the user information related to the target test tube mark in the sampling database, the repeated scanning occurs in the information scanning and collecting process of the sampling equipment terminal, and the user information related to the target test tube mark in the sampling database can be deduplicated. When it is detected that the sampling database does not include the target test tube label and the sampling log information of the N sampling device terminals includes the target test tube label, the user information in the log information associated with the target test tube label can be supplemented to the sampling database. In one example, in the process of supplementing the user information in the log information associated with the target test tube label into the sampling database, a request for information supplementation may be sent to the management terminal, and in the case of receiving confirmation information sent by the management terminal, the user information in the log information associated with the target test tube label is supplemented into the sampling database to ensure the integrity of the data.
In this embodiment, the sampling database is abnormal, which may be caused by data missing, data redundant, or data duplicate, and in this embodiment, missing information, redundant information, duplicate information, and the like may be determined through information comparison to correct the sampling database, thereby improving the accuracy of data correction and the accuracy of the sampling database.
As shown in fig. 2, in an embodiment, before the step 101 of detecting the sampling database at preset time intervals, the method further includes:
step 1014: and receiving sampling log information sent by each of the N sampling equipment terminals, and storing the sampling log information of the N sampling equipment terminals.
The size of each sample log information is a preset size. It can be understood that the sampling device side may upload according to the size of the log information, for example, when the size of the generated sampling log information reaches a preset size (for example, 512kb), the sampling log information may be uploaded, that is, the sampling log information may be automatically uploaded every time the size reaches the preset size, and the size of the sampling log information sent every time may be the preset size, so that the size of the sampling log information received from the sampling device side every time may be the preset size, thereby improving the stability of receiving the sampling log information.
In one embodiment, after receiving the sampling log information sent by each of the N sampling device terminals, the method further includes:
dividing the sampling log information of the N sampling equipment ends to obtain a plurality of division results;
and marking the sampling log information in each division result, wherein the marking of the sampling log information in the same division result is the same, and the marking of the sampling log information in different division results is different.
In this embodiment, the sampling log information of the N sampling device terminals can be divided, and the division results are marked, the marks of the sampling log information in the same division result are the same, and the marks of the sampling log information in different division results are different, so that the log information divided into the same division result and the log information divided into different division results can be distinguished conveniently, and the log information can be queried conveniently in the following process.
In one embodiment, the sampling log information of the N sampling device terminals is divided to obtain a plurality of division results, which includes one of:
dividing the sampling log information of the N sampling equipment ends according to the fragment areas where the N sampling equipment ends are located to obtain a plurality of division results;
and dividing the sampling log information of the N sampling equipment ends according to the equipment identifications of the N sampling equipment ends to obtain a plurality of division results.
It can be understood that, in order to reduce subsequent log search volume, in this embodiment, sampling log information may be divided by a zone where the sampling device end is located, sampling log information uploaded by sampling device ends in different zones is marked differently, sampling log information uploaded by sampling device ends in the same zone adopts the same mark, data transmitted into the cloud sampling database also corresponds to a corresponding mark of the zone, in the process of pulling log information uploaded by the sampling device ends through the intelligent sampling software, log information of the corresponding zone may be pulled according to corresponding zone information in lost data, so as to query corresponding test tube marks in sampling log information of the corresponding zone, and it is not necessary to query corresponding test tube marks in all sampling log information. Or the log information can be divided by the device identification of the sampling device end, the sampling log information of the same sampling device end is the same in label, the sampling log information of different sampling device ends is different in label, each uploaded sampling log information or the data uploaded to the sampling database at the cloud end is simultaneously uploaded with the device identification (such as a device number), under the condition that the sampling device end uploads the log information through the intelligent sampling software, the corresponding sampling device end log information can be pulled according to the corresponding device identification in the lost data, namely, the corresponding test tube label is inquired in the log information of the corresponding device identification, and the corresponding test tube label does not need to be inquired in all log information. Therefore, the sampling log information acquisition efficiency of the target sampling equipment end related to the abnormal test tube mark can be improved.
In the information processing method of the embodiment of the disclosure, sampling log information uploaded to a cloud end by a sampling device can be automatically pulled, and the sampling log information is compared with a sampling database, so that anomaly detection of the sampling database can be realized, missing user information, repeated information, redundant information and the like can be corrected, labor cost for rechecking can be reduced, data correction efficiency can be improved, and accuracy of the corrected sampling database can be improved.
Referring to fig. 3, fig. 3 is a schematic block diagram of an information processing apparatus 300 according to an embodiment of the present disclosure, where the apparatus 300 includes:
the detection module 301 is configured to detect a sampling database at preset time intervals, where the sampling database includes a plurality of test tube labels and user information associated with each test tube label;
the information acquisition module 302 is configured to, when it is detected that the sampling database is abnormal, acquire sampling log information of a target sampling device end associated with an abnormal test tube label;
and the correcting module 303 is configured to correct the sampling database by using log information associated with the abnormal test tube mark in the sampling log information.
In one embodiment, the information obtaining module 302 is configured to at least one of:
determining that the target test tube label is abnormal under the condition that the number of users of user information related to the target test tube label in the plurality of test tube labels is not a preset number, and acquiring sampling log information of a target sampling equipment end related to the target test tube label;
under the condition that repeated information exists in user information related to a target test tube mark in a plurality of test tube marks, determining that the target test tube mark is abnormal, and acquiring sampling log information of a target sampling equipment end related to the target test tube mark;
determining that the target test tube label is abnormal and acquiring sampling log information of a target sampling equipment end related to the target test tube label under the condition that the number of users of user information related to the target test tube label in the plurality of test tube labels is not a preset number and repeated information exists in the user information related to the target test tube label;
under the condition that the sampling database does not include a target test tube mark and sampling log information of any one of N sampling equipment ends includes the target test tube mark, determining that the target test tube mark is abnormal, and acquiring the sampling log information of a first target sampling equipment end related to the target test tube mark, wherein the N sampling equipment ends include the target sampling equipment end, and N is a positive integer.
In one embodiment, the correction module 303 is configured to one of:
comparing user information in the log information associated with the target test tube mark with user information associated with the target test tube mark in the sampling database, determining missing user information, supplementing the missing user information into the sampling database, and associating the missing user information with the target test tube mark;
comparing user information in the log information associated with the target test tube mark with user information associated with the target test tube mark in the sampling database, determining redundant user information, and deleting redundant user information in the user information associated with the target test tube mark in the sampling database;
carrying out duplicate removal on user information related to the target test tube mark in the sampling database;
and supplementing the user information in the log information associated with the target test tube mark into the sampling database.
As shown in fig. 4, in one embodiment, the apparatus 300 further comprises:
a receiving module 304, configured to receive, at every interval of a preset duration executed by the detecting module 301 and before detecting the sampling database, sampling log information sent by each of the N sampling device ends, and store the sampling log information of the N sampling device ends, where the size of each sampling log information is a preset size.
In one embodiment, the apparatus further comprises:
the dividing module is used for dividing the sampling log information of the N sampling equipment ends to obtain a plurality of dividing results;
and the marking module is used for marking the sampling log information in each division result, wherein the marks of the sampling log information in the same division result are the same, and the marks of the sampling log information in different division results are different.
In one embodiment, the apparatus includes a partitioning module to one of:
dividing the sampling log information of the N sampling equipment ends according to the fragment areas where the N sampling equipment ends are located to obtain a plurality of division results;
and dividing the sampling log information of the N sampling equipment ends according to the equipment identifications of the N sampling equipment ends to obtain a plurality of division results.
The device 300 can implement each process implemented by the method in the above method embodiment, the technical features are in one-to-one correspondence, the technical effects are the same, and details are not repeated here to avoid repetition.
As shown in fig. 5, in an embodiment, an electronic device 500 is further provided in an embodiment of the present disclosure, and includes a processor 501, a memory 502, and a computer program stored on the memory and capable of running on the processor, where the computer program, when executed by the processor, implements each process in the above information processing method embodiment, and can achieve the same technical effect, and details are not repeated here to avoid repetition.
As shown in fig. 6, an embodiment of the present disclosure further provides a computer-readable storage medium 600, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the processes of the information processing method embodiment, and can achieve the same technical effects, and in order to avoid repetition, the computer program is not described herein again. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
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.
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 an electronic device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method of the embodiments of the present disclosure.
While the embodiments of the present disclosure have been described in connection with the appended drawings, the present disclosure is not limited to the specific embodiments, which have been described above for illustrative purposes only and not for purposes of limitation, and it will be appreciated by those of ordinary skill in the art that, in light of the present disclosure, numerous modifications may be made without departing from the spirit of the disclosure and scope of the appended claims.

Claims (10)

1. An information processing method, characterized in that the method comprises:
detecting a sampling database at preset time intervals, wherein the sampling database comprises a plurality of test tube marks and user information related to each test tube mark;
under the condition that the sampling database is detected to be abnormal, acquiring sampling log information of a target sampling equipment end related to an abnormal test tube mark;
and correcting the sampling database by using the log information related to the abnormal test tube mark in the sampling log information.
2. The method according to claim 1, wherein the obtaining of the sampling log information of the target sampling device end associated with the abnormal test tube label in the case of detecting the abnormality of the sampling database includes at least one of:
determining that the target test tube label is abnormal and acquiring sampling log information of a target sampling device end related to the target test tube label under the condition that the number of users of user information related to the target test tube label in the plurality of test tube labels is not a preset number;
determining that the target test tube label is abnormal under the condition that repeated information exists in user information associated with the target test tube label in the plurality of test tube labels, and acquiring sampling log information of a target sampling equipment end associated with the target test tube label;
determining that the target test tube label is abnormal and acquiring sampling log information of a target sampling device end related to the target test tube label under the condition that the number of users of user information related to the target test tube label in the plurality of test tube labels is not a preset number and the user information related to the target test tube label has repeated information;
under the condition that the sampling database does not include a target test tube mark and the sampling log information of N sampling equipment ends includes the target test tube mark, determining that the target test tube mark is abnormal, and acquiring the sampling log information of the target sampling equipment end related to the target test tube mark, wherein the N sampling equipment ends include the target sampling equipment end, and N is a positive integer.
3. The method of claim 1, wherein the correcting the user information of the target tube label using the log information associated with the target tube label in the sample log information comprises one of:
comparing user information in the log information associated with the target test tube label with user information associated with the target test tube label in the sampling database, determining missing user information, supplementing the missing user information into the sampling database, and associating the missing user information with the target test tube label;
comparing user information in the log information associated with the target test tube mark with user information associated with the target test tube mark in the sampling database, determining redundant user information, and deleting the redundant user information in the user information associated with the target test tube mark in the sampling database;
removing the duplicate of the user information associated with the target test tube mark in the sampling database;
and supplementing the user information in the log information associated with the target test tube mark into the sampling database.
4. The method of claim 1, wherein before detecting the sample database every a preset time interval, the method further comprises:
receiving sampling log information sent by each sampling equipment end in N sampling equipment ends, and storing the sampling log information of the N sampling equipment ends, wherein the size of each sampling log information is a preset size.
5. The method of claim 4, wherein after receiving the sampling log information sent by each of the N sampling device terminals, the method further comprises:
dividing the sampling log information of the N sampling equipment terminals to obtain a plurality of division results;
and marking the sampling log information in each division result, wherein the marking of the sampling log information in the same division result is the same, and the marking of the sampling log information in different division results is different.
6. The method of claim 5, wherein the sampling log information of the N sampling device sides is divided to obtain a plurality of division results, and the division results include one of:
dividing the sampling log information of the N sampling equipment ends according to the areas where the N sampling equipment ends are located to obtain a plurality of division results;
and dividing the sampling log information of the N sampling equipment ends according to the equipment identifications of the N sampling equipment ends to obtain a plurality of division results.
7. An information processing apparatus characterized in that the apparatus comprises:
the detection module is used for detecting a sampling database at preset time intervals, wherein the sampling database comprises a plurality of test tube marks and user information related to each test tube mark;
the information acquisition module is used for acquiring sampling log information of a target sampling equipment end related to the abnormal test tube mark under the condition that the sampling database is detected to be abnormal;
and the correcting module is used for correcting the sampling database by utilizing the log information associated with the abnormal test tube mark in the sampling log information.
8. The apparatus of claim 7, wherein the information acquisition module is to at least one of:
determining that the target test tube label is abnormal and acquiring sampling log information of a target sampling device end related to the target test tube label under the condition that the number of users of user information related to the target test tube label in the plurality of test tube labels is not a preset number;
under the condition that repeated information exists in user information associated with a target test tube mark in the plurality of test tube marks, determining that the target test tube mark is abnormal, and acquiring sampling log information of a target sampling equipment end associated with the target test tube mark;
determining that the target test tube label is abnormal and acquiring sampling log information of a target sampling equipment end associated with the target test tube label under the condition that the number of users of user information associated with the target test tube label in the plurality of test tube labels is not a preset number and repeated information exists in the user information associated with the target test tube label;
under the condition that the sampling database does not include a target test tube mark and sampling log information of any sampling equipment end in N sampling equipment ends includes the target test tube mark, determining that the target test tube mark is abnormal, and acquiring the sampling log information of a first target sampling equipment end associated with the target test tube mark, wherein the N sampling equipment ends include the target sampling equipment end, and N is a positive integer.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1-6.
CN202210588928.0A 2022-05-26 2022-05-26 Information processing method and device and electronic equipment Pending CN114924902A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210588928.0A CN114924902A (en) 2022-05-26 2022-05-26 Information processing method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210588928.0A CN114924902A (en) 2022-05-26 2022-05-26 Information processing method and device and electronic equipment

Publications (1)

Publication Number Publication Date
CN114924902A true CN114924902A (en) 2022-08-19

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210588928.0A Pending CN114924902A (en) 2022-05-26 2022-05-26 Information processing method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN114924902A (en)

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