CN111813966A - Data auditing method and device - Google Patents

Abstract

The invention provides a data auditing method and a device, wherein the method comprises the following steps: acquiring data in a state to be audited, determining the data as target data, and screening the target data to judge whether to audit the target data; if the audit is carried out, determining whether the audit type is parallel audit; if the audit is parallel, judging whether the number of the first audit results received in the audit duration meets a preset number or not; if so, determining a parallel auditing result, and judging whether the target data meets a first AI auditing condition; if so, performing first AI audit on the target data to obtain a first AI audit result; and determining a second audit result based on the first AI audit result and the parallel audit result, and generating a corresponding audit record. By applying the invention, after the data in the state to be audited is obtained, the data is screened and processed, and an AI auditing mode is introduced, so that the time spent on auditing the data is reduced, and the efficiency of auditing the data is improved.

Description

Data auditing method and device

Technical Field

The invention relates to the technical field of computers, in particular to a data auditing method and device.

Background

With the rapid development of computer networks, multimedia data of most media companies is increasing. In order to create a good network environment, multimedia data of most media companies need to be checked before being published, and only the checked multimedia data can be published, so that the content of the published multimedia data is ensured to be positive and healthy, and a good network environment is created for each netizen.

At present, the data is usually audited by auditors inside the multimedia company, and as the user demands increase, the data to be audited exponentially increases; when massive data auditors audit data, the data needs to be screened or distributed one by one, the process is complex, a large amount of time is needed, and the auditing efficiency is low.

Disclosure of Invention

In view of this, the invention provides a data auditing method, and by applying the method provided by the invention, data is screened and AI auditing is introduced, so that the manual participation process can be reduced, the data auditing process is shortened, and the data auditing efficiency is improved.

The invention also provides a data auditing device which is used for supporting the application of the data auditing method in practice.

In order to achieve the purpose, the invention provides the following technical scheme:

a data auditing method comprises the following steps:

acquiring data in a state to be audited, and determining the data in the state to be audited as target data;

screening the target data to judge whether to audit the target data;

if the target data is audited, determining whether the type of auditing the target data is parallel auditing;

if the audit type is parallel audit, judging whether the number of first audit results of the target data received in a preset audit duration meets a preset number or not;

if the number of the first auditing results of the target data received within a preset auditing duration meets the preset number, determining a parallel auditing result based on each first auditing result, and judging whether the target data meets a preset first AI auditing condition;

if the target data meets the first AI auditing condition, performing first AI auditing on the target data to obtain a first AI auditing result;

and determining a second auditing result of the target data based on the first AI auditing result and the parallel auditing result, and generating an auditing record of the target data.

Optionally, in the method, the screening the target data to determine whether to audit the target data includes:

judging whether the target data is in a preset data list or not, and if the target data is in the data list, determining that the target data is not checked;

if the target data are not in the data list, judging whether the target data meet a preset second AI auditing condition;

if the target data meet the second AI auditing condition, performing second AI auditing on the target data to obtain a second AI auditing result, and displaying the second AI auditing result to a worker to obtain an indication command fed back by the worker, wherein the indication command is used for indicating whether the target data are audited or not;

and if the target data does not meet the second AI auditing condition, then the target data is determined to be audited.

Optionally, the determining a parallel review result based on each first review result in the foregoing method includes:

determining whether a first auditing result which is characterized in that the auditing is not passed exists in each first auditing result;

if a first audit result which is characterized in that the audit is not passed exists, generating a parallel audit result which is characterized in that the audit is not passed;

and if the first audit result which is characterized in that the audit is not passed does not exist, generating a parallel audit result which is characterized in that the audit is passed.

The above method, optionally, further includes:

when multimedia data are received, determining whether data corresponding to the multimedia data exist in a preset database;

if the data corresponding to the multimedia data exists, judging whether the multimedia data is consistent with the data, if not, replacing the multimedia data with the corresponding data in the database, generating replacement information, and displaying the replacement information;

and if the data corresponding to the multimedia data does not exist, storing the multimedia data into the database.

The above method, optionally, further includes:

when a review request is received, determining data in a review completion state corresponding to the review request, and determining the data in the review completion state as the review data;

sending the review data to a reviewer corresponding to the review request, and acquiring a review result fed back by the reviewer after reviewing the review data;

and generating a review record of the review data based on the review result.

The above method, optionally, further includes:

when a preset settlement node is reached, determining the auditors to which each audit record belongs based on the basic information of the auditors in each audit record;

and for each auditor, extracting the excitation factors in each audit record to which the auditor belongs, and generating the excitation information of the auditor based on each excitation factor and a preset excitation rule.

The above method, optionally, further includes:

and if the number of the first auditing results of the target data received within a preset auditing duration does not meet the preset number, recovering the target data and generating a recovery record of the target data.

The above method, optionally, further includes:

and if the audit type is not the parallel audit, performing preset internal audit processing on the target data to obtain an internal audit result after the internal audit processing is performed on the target data.

A data auditing apparatus, comprising:

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring data in a state to be audited and determining the data in the state to be audited as target data;

the first judgment unit is used for screening the target data to judge whether to audit the target data;

the first determining unit is used for determining whether the type of the target data to be audited is parallel audit or not if the target data is audited;

a second judging unit, configured to judge whether the number of first audit results of the target data received within a preset audit duration satisfies a preset number if the audit type is parallel audit;

a third determining unit, configured to determine a parallel audit result based on each first audit result if the number of first audit results of the target data received within a preset audit duration meets the preset number, and determine whether the target data meets a preset first AI audit condition;

the auditing unit is used for performing first AI auditing on the target data to obtain a first AI auditing result if the target data meets the first AI auditing condition;

and the first generating unit is used for determining a second auditing result of the target data based on the first AI auditing result and the parallel auditing result and generating an auditing record of the target data.

Optionally, the apparatus described above, wherein the first determining unit includes:

the first judging subunit is configured to judge whether the target data is in a preset data list, and if the target data is in the data list, determine not to perform auditing on the target data;

the second judging subunit is configured to, if the target data is not in the data list, judge whether the target data meets a preset second AI audit condition;

the auditing subunit is configured to perform a second AI audit on the target data to obtain a second AI audit result if the target data meets the second AI audit condition, and display the second AI audit result to a worker to obtain an indication command fed back by the worker, where the indication command is used to indicate whether to audit the target data;

and the first determining subunit is configured to determine to perform audit on the target data if the target data does not satisfy the second AI audit condition.

Optionally, the apparatus described above, wherein the third determining unit includes:

the second determining subunit is configured to determine whether a first audit result that is characterized as not passed through the audit exists in each first audit result;

the first generation subunit is used for generating a parallel audit result which is characterized in that the audit is not passed if a first audit result which is characterized in that the audit is not passed exists;

and the second generation subunit is used for generating a parallel audit result which is characterized in that the audit is passed if the first audit result which is characterized in that the audit is not passed does not exist.

The above apparatus, optionally, further comprises:

a second determining unit, configured to determine whether data corresponding to multimedia data exists in a preset database when the multimedia data is received;

a third judging subunit, configured to, if there is data corresponding to the multimedia data, judge whether the multimedia data is consistent with the data, and if not, replace the multimedia data with the data corresponding to the multimedia data in the database, generate replacement information, and display the replacement information;

and the storage subunit is used for storing the multimedia data into the database if the data corresponding to the multimedia data does not exist.

The above apparatus, optionally, further comprises:

the third determining unit is used for determining the data in the review completion state corresponding to the review request when the review request is received, and determining the data in the review completion state as the review data;

the sending unit is used for sending the review data to the review personnel corresponding to the review request and obtaining the review result fed back by the review personnel after reviewing the review data;

and the second generating unit is used for generating a review record of the review data based on the review result.

The above apparatus, optionally, further comprises:

the fourth determining unit is used for determining the auditors to which each audit record belongs based on the basic information of the auditors in each audit record when a preset settlement node is reached;

and the extraction unit is used for extracting the excitation factors in each audit record to which the auditor belongs for each auditor and generating the excitation information of the auditor based on each excitation factor and a preset excitation rule.

The above apparatus, optionally, further comprises:

and the recovery unit is used for recovering the target data and generating a recovery record of the target data if the number of the first audit results of the target data received within a preset audit duration does not meet the preset number.

The above apparatus, optionally, further comprises:

and the internal auditing unit is used for performing preset internal auditing processing on the target data if the auditing type is not parallel auditing so as to obtain an internal auditing result after the internal auditing processing is performed on the target data.

A storage medium comprises a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the data auditing method.

An electronic device comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors for performing the data auditing method described above.

Compared with the prior art, the invention has the following advantages:

the invention provides a data auditing method and a device, wherein the method comprises the following steps: acquiring data in a state to be audited, determining the data as target data, and screening the target data to judge whether to audit the target data; if the audit is carried out, determining whether the audit type is parallel audit; if the audit type is parallel audit, judging whether the number of the first audit results received in the preset audit duration meets the preset number or not; if so, determining a parallel auditing result, and judging whether the target data meets a preset first AI auditing condition; if so, performing first AI audit on the target data to obtain a first AI audit result; and determining a second auditing result based on the first AI auditing result and the parallel auditing result, and generating an auditing record of the target data. By applying the invention, after the data in the state to be audited is obtained, the data is screened and processed, and an AI auditing mode is introduced in the auditing process, so that the manual participation is reduced, the time spent on auditing the data is reduced, and the auditing efficiency of the data is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

Fig. 1 is a flowchart of a method of a data auditing method according to an embodiment of the present invention;

FIG. 2 is a flowchart of another method of a data auditing method according to an embodiment of the present invention;

FIG. 3 is a flowchart of another method of a data auditing method according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a data auditing apparatus according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In this application, 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 identical elements in a process, method, article, or apparatus that comprises the element.

The present invention may be applied in a computing environment comprised of distributed intelligence devices, or in a multitude of personal computers, server computers, multiprocessor apparatus, and the like.

The embodiment of the present invention provides a data auditing method, which can be applied to a data auditing system or a data auditing platform, wherein an execution subject of the method can be a computer terminal or processors of various mobile devices, and a flow chart of the method is shown in fig. 1, which specifically describes the following:

s101, acquiring data in a state to be audited, and determining the data in the state to be audited as target data.

In the method provided by the embodiment of the invention, data in a state to be audited in a preset database is obtained, the data can be data which is just stored in the database and is not audited yet, or data which is already stored in the database and is not audited yet, the obtaining mode can be random obtaining, or can be obtained based on the obtaining priority of the data, further, the obtaining priority of the data can be determined according to parameters such as the time length of the data to be audited in the database, the urgency of the data, the grade of the data and the like, wherein the urgency of the data can be classified into three types of high urgency, general urgency and nonemergency; the level of data can be divided into affiliates and non-affiliates. It should be noted that the acquired data in the to-be-audited state may be multimedia data, specifically, may be image-text data, video data, audio data, picture data, or text data.

S102, screening the target data to judge whether to audit the target data; if the target data is checked, executing S103; if the target is not checked, S108 is executed.

In the method provided by the embodiment of the invention, the target data is screened based on a preset screening processing rule, and whether the target data is audited or not can be judged by screening the target data; in other words, the target data is audited, so that a conclusion whether the target data is audited can be obtained; and if the target data is judged to be audited, auditing the target data, and updating the state of the target data to be an audit state.

S103, determining whether the type of the target data to be audited is parallel audit or not, and executing S104 if the type of the target data to be audited is parallel audit; if it is determined that the type of the audit performed on the target data is not a parallel audit, S109 is performed.

In the method provided by the embodiment of the invention, when the target data is judged to be audited, whether the type of auditing the target data is concurrent auditing needs to be confirmed; the specific process of determining whether the type of the audit performed on the target data is a parallel audit is as follows:

analyzing the target data to acquire data configuration parameters of the target data;

judging whether the target data meet a preset parallel condition or not based on the data configuration parameters;

if the target data meets the parallel condition, determining that the type of the target data to be checked is parallel checking;

and if the target data does not meet the parallel condition, determining that the type of the target data to be audited is not parallel audit.

Further, the parallel condition includes preset parallel parameters, the parallel data includes, but is not limited to, non-core parameters, service parameters, source parameters, and the like, and the non-core parameter identification data is non-core data; the data configuration parameters include, but are not limited to, source parameters of the data, a service type, parameters for characterizing whether the data is core data, and the like; when the data configuration parameters are matched with parallel parameters in the parallel conditions, determining that the target data meet the parallel conditions; wherein, only if any parameter in the data configuration parameters is consistent with the corresponding parameter in the parallel parameters, the data matching parameters are determined to be matched with the parallel parameters; for example, if the parameter characterizing the core data is consistent with the non-core data in the parallel parameters, the data configuration parameters are determined to match the parallel parameters.

It should be noted that, when it is determined that the auditing performed on the target data is parallel auditing, the target data is parallel audited; the specific process of performing parallel auditing on the target data is as follows:

s104, judging whether the number of the first auditing results of the target data received within a preset auditing duration meets a preset number or not; if the number of the first auditing results of the target data received in the auditing duration meets a preset number, executing S105; and if the number of the first auditing results received in the auditing duration does not meet the preset number, executing S110.

In the method provided by the embodiment of the invention, the auditing time is the time for performing parallel auditing on the target data, the auditing time starts to be timed when auditing is started, and the auditing time is set according to actual requirements, such as 3 hours, 2 hours or 1 hour; judging whether the data of the first auditing result of the target data received in the auditing duration meets a preset number or not; the first audit result is obtained by auditing the target data by the auditor, and the first audit result can be represented as audit passing or not. At this time, the auditor which audits the target data is a third-party auditor, in other words, when the type of auditing the target data is parallel auditing, the third-party auditor is used for auditing the target data.

Further, the preset number can be a preset number of auditing people for auditing the target data; in the auditing duration, an auditor can apply for auditing the target data, and when the number of the personnel applying for auditing the target data reaches the preset number, the auditor is prompted that the number of the personnel applying for auditing the target data is full, and the target data is not provided for the auditor; and when the number of the personnel applying to the target data examination does not reach the preset number, prompting the examiner to examine the target data and prompting the examiner to feed back the result of examining the target data before the examination duration is finished.

Further, the manner of determining whether the data of the first audit result of the target data received within the preset audit duration satisfies the preset number may be: when the auditing duration is over, counting the number of first auditing results of the received target data, comparing the counted number with a preset number, and if the counted number is consistent with the preset number, judging that the preset number is met; if the comparison is inconsistent, judging that the preset data is not met; if the number of the first auditing results of the target data received in the auditing duration meets a preset number, executing S105, wherein the condition indicates that each auditor auditing the target data has fed back auditing results; if the number of the first auditing results of the target data received in the auditing duration does not meet the preset number, executing S110; the situation shows that the number of the auditors for auditing the target data does not reach the preset number of the auditors, or the situation that the auditors do not audit the target data within the auditing time in time exists.

S105, determining a parallel auditing result based on each first auditing result, and judging whether the target data meet a preset first AI auditing condition; if the target data meet a preset first AI auditing condition, executing S106; and if the target data does not meet the preset first AI auditing condition, executing S108.

In the method provided by the embodiment of the invention, when the number of the first audit results of the target data received within the preset audit duration meets the preset number, a parallel audit result is determined based on each first audit result, and the parallel audit can be characterized as audit passing or not passing. The specific process of judging whether the target data meets the preset first AI auditing condition is as follows:

analyzing the target data to acquire data type parameters of the target data;

matching the data type parameters of the target data with each first AI auditing parameter in the first AI auditing conditions to judge whether the first AI auditing parameters matched with the data type parameters exist or not;

if a first AI auditing parameter matched with the data type parameter exists, determining that the target data meets the first AI auditing condition;

and if the first AI auditing parameters matched with the data type parameters do not exist, determining that the target data do not meet the first AI auditing conditions.

Further, the data type parameter is used to represent a data type to which the target data belongs, and the data type parameter may be a bullet screen type parameter, a video type parameter, an audio type parameter, or a picture type parameter. The first AI auditing parameters include but are not limited to a bullet screen type parameter, a picture type parameter, a character type parameter and the like; further, for example: and if the data type parameter of the target data is matched with the bullet screen type parameter in the first AI auditing condition, the target data meets the first AI auditing condition. It should be noted that each first AI audit parameter in the first AI audit condition may be set according to an actual requirement. To illustrate further, the AI's mentioned herein are all Artificial Intelligence (AI)

And S106, performing first AI audit on the target data to obtain a first AI audit result.

In the method provided by the embodiment of the invention, the data type of the target data is determined, and an AI auditing model which is corresponding to the data type and is trained in advance is called; and auditing the target data by applying the AI auditing model, and taking a result output by the AI auditing model as a first AI auditing result, wherein the first AI auditing result can be represented as that the audit is passed or that the audit is not passed. When the AI auditing model audits target data, the target data can be extracted by using an algorithm in the AI auditing model, and if keywords are extracted from the target data, a first AI auditing result which is characterized in that the auditing is not passed can be generated; if the keywords are not extracted from the target data, a first AI audit result which is characterized as that the audit is passed can be generated, and the keywords extracted by different AI audit models are different. Wherein, different data types correspond to different AI auditing models. Explaining by taking the target data as a bullet screen type, calling AI audit corresponding to the bullet screen type to extract the target data, and if keywords are extracted from the target data, generating a first AI audit result which is characterized in that the audit does not pass; if the keywords are not extracted from the target data, a first AI audit result which is characterized as that the audit is passed can be generated; the keywords may be words with derogative or discriminative semantics. It should be noted that the AI audit model is set in the intelligent device, and can call the intelligent device to process the target data.

S107, determining a second auditing result of the target data based on the first AI auditing result and the parallel auditing result, and generating an auditing record of the target data.

In the method provided by the embodiment of the invention, whether a result which is characterized in that the examination is not passed exists in the first AI examination result and the parallel examination result is judged, and if yes, a second examination result which is characterized in that the examination is not passed is generated; if not, generating a second auditing result which is characterized as approved; and the second auditing result is a final result obtained by auditing the target data. Further, after a second audit result of the target data is obtained, an audit record of the target data is generated, where the audit record includes, but is not limited to, basic information of auditors that perform audit on the target data, time and specific content of a first audit result fed back by each auditor, and content of parallel audit results.

And S108, ending.

In the method provided by the embodiment of the invention, when the target data is judged not to be audited or the target data is judged not to meet the preset first AI audit condition, the audit processing of the target data is finished, and the state of the target data is updated to be audit completed.

And S109, performing preset internal auditing processing on the target data to obtain an internal auditing result after the internal auditing processing is performed on the target data.

In the method provided by the embodiment of the invention, when the auditing type of the target data is not parallel auditing, the auditing type of the target data is determined to be internal auditing; and performing preset internal auditing processing on the target data, namely distributing the target data to internal auditors so that the auditors audit the target data, and feeding back an internal auditing result obtained by auditing the target data, wherein the internal auditing result can be represented as that the audit is passed or that the audit is not passed, and it needs to be stated that the internal auditing result can be used as a final auditing result of the target data. Further, after an internal audit result obtained after internal audit processing is performed on the target data, an audit record of the target data is generated, where the audit record includes, but is not limited to, basic information of an internal auditor and contents of the internal audit result fed back by the auditor.

And S110, recovering the target data and generating a recovery record of the target data.

In the method provided by the embodiment of the invention, when the number of the first audit results of the target data received in the preset audit duration does not meet the preset number, the target data is recovered, and a recovery record of the target data is generated; recovering the target, namely, needing to audit the target data again, namely, updating the state of the target data to be in an unviewed state so as to audit the target data again; one practicable scheme is that data to be newly audited is marked, so that when judging whether the type of auditing the target data is parallel auditing, the type of auditing the target data is judged not to be parallel auditing, and internal auditing processing is performed on the target data. It should be noted that the recovery record includes, but is not limited to, information of an auditor auditing target data, information of an auditor feeding back an audit result within an audit duration, audit information of an auditor not feeding back an audit result within the audit duration, and the like.

In the method provided by the embodiment of the invention, data in a state to be audited is obtained, and the data in the state to be audited is determined as target data; screening the target data to judge whether to audit the target data, if so, determining whether the audit type of the audit is parallel audit, and if so, judging whether the number of first audit results of the target data received in a preset audit duration meets a preset number; if the preset number is met, determining a parallel auditing result, and judging whether the target data meets a first AI auditing condition; if the first AI auditing condition is met, performing first AI auditing to obtain a first AI auditing result; and determining a second audit result based on the first AI audit result and the parallel audit result, and generating an audit record of the target data. By applying the method and the device, the target data is screened to determine whether the target data is audited or not, partial data which does not need to be audited can be effectively filtered, the auditing type of the filtered target data is determined, if the data is audited in parallel, whether the number of the first auditing results of the target data received within the preset auditing time meets the preset number or not is judged, if the data does not meet the preset number, the data is recycled, and the data is audited again, so that the data is guaranteed to be audited in time. Through screening the data and introducing AI audit, the workload of workers is effectively reduced, so that the time for the workers to audit the data is reduced, and the efficiency of auditing the data is improved.

In the method provided in the embodiment of the present invention, the target data is subjected to a screening process to determine whether to perform an audit on the target data, and the process is described with reference to fig. 2, specifically, the following contents are provided:

s201, judging whether the target data is in a preset data list or not, and if the target data is in the data list, executing S202; if the target data is not in the data list, executing S203.

In the method provided by the embodiment of the invention, the target data is analyzed to obtain the unique identifier of the target data, the unique identifier can be a number composed of numbers or other types of unique identification information, the unique identifiers of different types of data are different, for example, the unique identifier of video data can be a film and television record number or a film and television name; the data list comprises a white list and a list, and the data list comprises preset list marks which can be divided into white list marks and black list marks, wherein the white list marks belong to the white list, and the black list marks belong to the black list; traversing the unique identifier of the target data to each list identifier in the data list, judging whether a data identifier corresponding to the unique identifier exists in the data list, and if the data identifier corresponding to the unique identifier exists in the data list, determining that the target data is in the data list; and if the data list does not have the data identifier corresponding to the unique identifier, determining that the target data is in the data list.

And S202, determining that the target data is not checked.

In the method provided by the embodiment of the invention, the target data is determined not to be audited, and the auditing process of the target data is finished, wherein when the target data is in the data list, the target data is not audited, and if the only identifier of the target data is the blacklist identifier, the auditing result representing that the target data cannot be audited can be obtained; and if the unique identifier of the target data is a white list identifier, obtaining an audit result representing that the target data is approved.

S203, judging whether the target data meet a preset second AI auditing condition; if the target data meets the second AI auditing condition, executing S204; if the target data does not satisfy the second AI audit condition, S205 is executed.

In the method provided by the embodiment of the present invention, a specific process of determining whether the target data meets a preset second AI audit condition is as follows:

analyzing the target data to acquire data type parameters of the target data;

matching the data type parameters of the target data with each second AI auditing parameter in the second AI auditing conditions to judge whether second AI auditing parameters matched with the data type parameters exist or not;

if a second AI auditing parameter matched with the data type parameter exists, determining that the target data meets the second AI auditing condition;

and if the second AI auditing parameters matched with the data type parameters do not exist, determining that the target data does not meet the second AI auditing conditions.

It should be noted that, the data type parameter of the target data herein may refer to the description of the data type parameter in S105 in fig. 1, and is not described herein again. The second AI audit parameter includes, but is not limited to, a barrage type parameter, a picture type parameter, a text type parameter, and the like; the number and the number of the first AI audit parameter and the second AI audit parameter may be the same or different.

And S204, performing second AI audit on the target data to obtain a second AI audit result, and displaying the second AI audit result to a worker to obtain an indication command fed back by the worker, wherein the indication command is used for indicating whether the target data is audited or not.

In the method provided in the embodiment of the present invention, the process of performing the second AI audit on the target data may refer to the process of performing the first AI audit on the target data in S106 in fig. 1, which is not described herein again. In the method provided by the embodiment of the invention, a second AI audit result is obtained after the target data is subjected to second AI audit, and the second AI audit result can represent that the target data is audited to be passed or that the target data is audited not to be passed; displaying the second AI audit result to a worker, wherein the worker can determine whether to audit the target data according to the second AI audit result, and the worker feeds back an instruction command for instructing whether to audit the target data; if the instruction command indicates to perform auditing on the target data, executing S205; if the instruction command indicates that the target data is not to be checked, S202 is executed.

S205, determining to audit the target data.

In the method provided by the embodiment of the invention, the data list is set to screen the data, some data which do not need to be audited are effectively eliminated, the data amount which needs to be audited by the staff is effectively reduced, and further the workload of the staff is reduced; and the AI audit is introduced, the initial audit can be performed on the specific data, and whether the data needs to be audited or not is determined according to the result obtained by the audit, so that the workload of workers is reduced, the time spent on auditing the data is reduced, and the efficiency of data audit is improved.

In the method provided by the embodiment of the present invention, in the process of performing audit on the target data, if the type of the audit on the target data is parallel audit, and the number of the first audit results received in the preset audit duration satisfies the preset number, the parallel audit result is determined, and a specific flow refers to fig. 3, and specific contents are as follows:

s301, determining whether a first auditing result which is characterized in that the auditing is not passed exists in each first auditing result; if a first auditing result which is characterized in that the auditing is not passed exists, executing S302; if there is no first review result characterized as not passing the review, S303 is executed.

And S302, generating a parallel auditing result which is characterized in that the auditing is not passed.

And S303, generating a parallel auditing result which is characterized in that the auditing is passed.

In the method provided by the embodiment of the invention, each first audit result can be characterized as that the audit is passed or not passed; if the first audit result which is characterized in that the audit is not passed exists in each first audit result, generating a parallel audit result which is characterized in that the audit is not passed; and if each first audit result is characterized as approved, generating a parallel audit result which is characterized as approved.

In the method provided by the embodiment of the invention, the parallel auditing result is determined based on the plurality of first auditing results, the auditing of the target data is stricter, and a more accurate auditing result can be obtained.

In the method provided by the embodiment of the invention, the audited data is usually multimedia data sent by each media asset library, and when the multimedia data is received, whether the data corresponding to the multimedia data exists in a preset database is determined;

if the data corresponding to the multimedia data exists, judging whether the multimedia data is consistent with the data, if not, replacing the multimedia data with the corresponding data in the database, generating replacement information, and displaying the replacement information; if the multimedia data are consistent, the multimedia data are not stored in the database;

and if the data corresponding to the multimedia data does not exist, storing the multimedia data into the database.

It should be noted that, the media asset library has already undergone preliminary screening when transmitting the multimedia data, so that the workload of auditing the data can be further reduced. In the method provided by the embodiment of the invention, the multimedia data is analyzed to obtain a data identification mark of the multimedia data, wherein the data identification mark is a unique identification number of the multimedia data; traversing the unique identification number of the multimedia data to each data in the database; if the data in the database corresponds to the unique identification number of the multimedia data, the data corresponding to the multimedia data exists in the database; and if no data in the database corresponds to the unique identification number of the multimedia data, the data corresponding to the multimedia data does not exist in the database.

Further, if there is no data corresponding to the multimedia data, the multimedia data is stored in the database, so that the data in the database can be increased; if data corresponding to the multimedia data exist and the data are inconsistent with the multimedia data, replacing the data with the multimedia data, generating replacement information, and displaying the replacement information; if the data corresponding to the multimedia data exists and the data is consistent with the multimedia data, the multimedia data is not stored in the database, so that the data in the database can be updated in time, and the data in the database is ensured to be the latest data, wherein the replacement information includes but is not limited to the updating time, the specific content of the multimedia data inconsistent with the data, and the like. By displaying the replacement information, the auditor who is auditing the data can be prompted that the data has been replaced and the latest data should be acquired for auditing.

According to the method provided by the embodiment of the invention, the condition that repeated data does not exist in the database is effectively ensured, the data stored in the database is the latest data, an auditor can be reminded to audit the latest data, the auditor is prevented from repeatedly auditing the data, and the data auditing efficiency is further improved.

In the method provided by the embodiment of the invention, after the data audit is completed, the data can be reviewed, so as to further ensure the accuracy of the data audit, and the specific process is as follows:

when a review request is received, determining data in a review completion state corresponding to the review request, and determining the data in the review completion state as the review data;

sending the review data to a reviewer corresponding to the review request, and acquiring a review result fed back by the reviewer after reviewing the review data;

and generating a review record of the review data based on the review result.

In the method provided by the embodiment of the invention, the review request is analyzed to obtain the data information in the review request, the data corresponding to the data information is determined in each data in the review completion state, and the determined data is determined as the review data; the review result can be characterized as pass or fail of the review; the review record includes, but is not limited to, review results of review data and information of review personnel.

According to the method provided by the embodiment of the invention, the data in the auditing state is reviewed, so that the accuracy of data auditing can be ensured, and the condition of misauditing the data is avoided.

In the method provided by the embodiment of the invention, in order to improve the auditing efficiency of auditors, an incentive mechanism is introduced, and auditors can be supervised to audit data, and the specific process is as follows:

when a preset settlement node is reached, determining the auditors to which each audit record belongs based on the basic information of the auditors in each audit record;

and for each auditor, extracting the excitation factors in each audit record to which the auditor belongs, and generating the excitation information of the auditor based on each excitation factor and a preset excitation rule.

In the method provided by the embodiment of the invention, the settlement node is set in units of days, weeks or months, and each time the settlement node reaches the preset auditing node, the excitation information of each auditor needs to be generated and displayed to the auditor so as to excite the auditor to audit data. It should be noted that the basic information includes, but is not limited to, name, job number, audit time, and the like; the different types of data correspond to different incentive factors, and the incentive factors include but are not limited to the data type of the data corresponding to the audit record, the time length spent auditing the data, the audit type and the like; the incentive rules include charging rules, incentive systems and the like, the auditing cost corresponding to the auditor can be obtained based on the charging rules, the incentive systems and incentive factors in the auditing record corresponding to the auditor, and the incentive information of the auditor can be generated, wherein the incentive information includes but is not limited to the auditing cost, the reward information, the penalty information and the like of the auditor's audited data.

In the method provided by the embodiment of the invention, by introducing the incentive mechanism, the process of auditing the data by the auditor can be recorded, the performance of the auditor can be calculated, and the reward information and the penalty information of the auditor can be obtained, so that the auditor can be effectively motivated to audit the data, and the auditing efficiency of the data is further improved.

The auditing system or auditing platform applied by the invention can be integrated by a data distribution mechanism, a data redundancy mechanism, an AI mechanism, a rechecking mechanism, a recovery mechanism and an excitation mechanism; the system comprises an audit system and an audit platform, wherein a web server can be built in the audit system or the audit platform, a corresponding server is configured, mysql (configuration), an elastic search (storage) and websocket service are deployed, a redundant data message pushing service is provided, and the technical scheme of openness + redis + lua is adopted; data docking of the media asset library and access of the AI system, wherein. The data of the media asset library can be third-party service module data;

the data distribution mechanism is provided with conditions for screening and auditing data, such as screening strategies, the screening strategies can comprise a data list, the data list is divided into a white list and a black list, the data is screened through a data name list, the auditing type of the data is determined, and the like, and some non-core data can be audited in parallel, so that the risk of core services can be reduced, and the screening and auditing conditions in the data distribution mechanism can be configured according to the requirements of service scenes.

The data redundancy mechanism mainly compares multimedia data sent by a media asset library with data in a database, and if the multimedia data does not have corresponding data in the database, the multimedia data is updated into the database; if the multimedia data has corresponding data in the database and the multimedia data is inconsistent with the data, replacing the data with the multimedia data and generating replacement information; if the multimedia data has corresponding data in the database and the multimedia data is consistent with the data, the multimedia data is not stored in the database, so that the repeated data in the database can be avoided; the updated data can be pushed to the auditor, and repeated audits are avoided.

The AI mechanism can carry out AI audit, thereby reducing the audit cost, ensuring the audit efficiency of the data, and carrying out AI audit after parallel audit, thereby reducing the audit risk of the data; and the parallel audit can be performed by using a third-party auditor.

The rechecking mechanism is used for further auditing the data after parallel auditing, so that an auditing result can be re-determined, and auditing errors are avoided.

The recovery mechanism is used for recovering data which is not checked by the auditor in time, so that the situation that the data cannot be processed in time due to the fact that the data cannot be checked in time after the third party auditor receives the data can be avoided, the system is provided with the function of the automatic recovery mechanism, and the data can be guaranteed to be checked in time and effectively.

The excitation mechanism is used for generating excitation information of the auditor based on the excitation rule and the excitation factor; the excitation rule can comprise a charging rule, an excitation system and the like, and the excitation factor can be the data type, the auditing type, the duration, the number and the like of the data audited by the auditor; based on the incentive rules, the settlement of the audit remuneration can be realized by taking days and months as units, and auditors are encouraged to improve the efficiency of auditing data.

Corresponding to the method described in fig. 1, an embodiment of the present invention further provides a data auditing apparatus, which is used for implementing the method in fig. 1 specifically, the data auditing apparatus provided in the embodiment of the present invention may be applied to a computer terminal or various mobile devices, and a schematic structural diagram of the apparatus is shown in fig. 4, and specifically includes:

an obtaining unit 401, configured to obtain data in a state to be audited, and determine the data in the state to be audited as target data;

a first determining unit 402, configured to perform screening processing on the target data to determine whether to perform auditing on the target data;

a first determining unit 403, configured to determine whether an audit type of the target data is a parallel audit if the target data is audited;

a second determining unit 404, configured to determine whether the number of first audit results of the target data received within a preset audit duration meets a preset number if the audit type is parallel audit;

a third determining unit 405, configured to determine a parallel audit result based on each first audit result if the number of first audit results of the target data received within a preset audit duration meets the preset number, and determine whether the target data meets a preset first AI audit condition;

an auditing unit 406, configured to perform a first AI audit on the target data to obtain a first AI audit result if the target data meets the first AI audit condition;

a first generating unit 407, configured to determine a second review result of the target data based on the first AI review result and the parallel review result, and generate a review record of the target data.

In the device provided by the embodiment of the invention, data in a state to be audited is obtained, and the data in the state to be audited is determined as target data; screening the target data to judge whether to audit the target data, if so, determining whether the audit type of the audit is parallel audit, and if so, judging whether the number of first audit results of the target data received in a preset audit duration meets a preset number; if the number of the received first audit results meets the preset number, determining the parallel audit results, and judging whether the target data meets the first AI audit condition; if the first AI auditing condition is met, performing first AI auditing on the target data to obtain a first AI auditing result; and determining a second audit result based on the parallel audit result and the first AI audit result, and generating an audit record of the target data. By applying the device, data can be screened, some data can be effectively filtered, AI audit is introduced after the data is audited, the accuracy of the data audit can be improved, the accuracy of the data audit is ensured, the process of manual participation is reduced, and the audit efficiency of the data is improved.

Based on the above scheme, in the apparatus provided in the embodiment of the present invention, the first determining unit 402 includes:

the first judging subunit is configured to judge whether the target data is in a preset data list, and if the target data is in the data list, determine not to perform auditing on the target data;

the second judging subunit is configured to, if the target data is not in the data list, judge whether the target data meets a preset second AI audit condition;

the auditing subunit is configured to perform a second AI audit on the target data to obtain a second AI audit result if the target data meets the second AI audit condition, and display the second AI audit result to a worker to obtain an indication command fed back by the worker, where the indication command is used to indicate whether to audit the target data;

and the first determining subunit is configured to determine to perform audit on the target data if the target data does not satisfy the second AI audit condition.

Based on the above scheme, in the apparatus provided in the embodiment of the present invention, the third determining unit 405 includes:

the second determining subunit is configured to determine whether a first audit result that is characterized as not passed through the audit exists in each first audit result;

the first generation subunit is used for generating a parallel audit result which is characterized in that the audit is not passed if a first audit result which is characterized in that the audit is not passed exists;

and the second generation subunit is used for generating a parallel audit result which is characterized in that the audit is passed if the first audit result which is characterized in that the audit is not passed does not exist.

Based on the above scheme, the apparatus provided in the embodiment of the present invention further includes:

a second determining unit, configured to determine whether data corresponding to multimedia data exists in a preset database when the multimedia data is received;

a third judging subunit, configured to, if there is data corresponding to the multimedia data, judge whether the multimedia data is consistent with the data, and if not, replace the multimedia data with the data corresponding to the multimedia data in the database, generate replacement information, and display the replacement information;

and the storage subunit is used for storing the multimedia data into the database if the data corresponding to the multimedia data does not exist.

Based on the above scheme, the apparatus provided in the embodiment of the present invention further includes:

the third determining unit is used for determining the data in the review completion state corresponding to the review request when the review request is received, and determining the data in the review completion state as the review data;

the sending unit is used for sending the review data to the review personnel corresponding to the review request and obtaining the review result fed back by the review personnel after reviewing the review data;

and the second generating unit is used for generating a review record of the review data based on the review result.

Based on the above scheme, the apparatus provided in the embodiment of the present invention further includes:

the fourth determining unit is used for determining the auditors to which each audit record belongs based on the basic information of the auditors in each audit record when a preset settlement node is reached;

and the extraction unit is used for extracting the excitation factors in each audit record to which the auditor belongs for each auditor and generating the excitation information of the auditor based on each excitation factor and a preset excitation rule.

Based on the above scheme, the apparatus provided in the embodiment of the present invention further includes:

and the recovery unit is used for recovering the target data and generating a recovery record of the target data if the number of the first audit results of the target data received within a preset audit duration does not meet the preset number.

Based on the above scheme, the apparatus provided in the embodiment of the present invention further includes:

and the internal auditing unit is used for performing preset internal auditing processing on the target data if the auditing type is not parallel auditing so as to obtain an internal auditing result after the internal auditing processing is performed on the target data.

An embodiment of the present invention further provides a storage medium, where the storage medium includes a stored program, where, when the program runs, a device where the storage medium is located is controlled to execute the data auditing method, where the method includes:

acquiring data in a state to be audited, and determining the data in the state to be audited as target data;

screening the target data to judge whether to audit the target data;

if the target data is audited, determining whether the type of auditing the target data is parallel auditing;

if the audit type is parallel audit, judging whether the number of first audit results of the target data received in a preset audit duration meets a preset number or not;

if the number of the first auditing results of the target data received within a preset auditing duration meets the preset number, determining a parallel auditing result based on each first auditing result, and judging whether the target data meets a preset first AI auditing condition;

if the target data meets the first AI auditing condition, performing first AI auditing on the target data to obtain a first AI auditing result;

and determining a second auditing result of the target data based on the first AI auditing result and the parallel auditing result, and generating an auditing record of the target data.

An embodiment of the present invention further provides an electronic device, a schematic structural diagram of which is shown in fig. 5, specifically including a memory 501 and one or more programs 502, where the one or more programs 502 are stored in the memory 501, and are configured to be executed by one or more processors 503 to perform the following operations of the one or more programs 502:

acquiring data in a state to be audited, and determining the data in the state to be audited as target data;

screening the target data to judge whether to audit the target data;

if the target data is audited, determining whether the type of auditing the target data is parallel auditing;

if the audit type is parallel audit, judging whether the number of first audit results of the target data received in a preset audit duration meets a preset number or not;

if the number of the first auditing results of the target data received within a preset auditing duration meets the preset number, determining a parallel auditing result based on each first auditing result, and judging whether the target data meets a preset first AI auditing condition;

if the target data meets the first AI auditing condition, performing first AI auditing on the target data to obtain a first AI auditing result;

and determining a second auditing result of the target data based on the first AI auditing result and the parallel auditing result, and generating an auditing record of the target data.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A data auditing method is characterized by comprising the following steps:

acquiring data in a state to be audited, and determining the data in the state to be audited as target data;

screening the target data to judge whether to audit the target data;

if the target data is audited, determining whether the type of auditing the target data is parallel auditing;

if the audit type is parallel audit, judging whether the number of first audit results of the target data received in a preset audit duration meets a preset number or not;

if the number of the first auditing results of the target data received within a preset auditing duration meets the preset number, determining a parallel auditing result based on each first auditing result, and judging whether the target data meets a preset first AI auditing condition;

if the target data meets the first AI auditing condition, performing first AI auditing on the target data to obtain a first AI auditing result;

and determining a second auditing result of the target data based on the first AI auditing result and the parallel auditing result, and generating an auditing record of the target data.

2. The method of claim 1, wherein the screening the target data to determine whether to audit the target data comprises:

judging whether the target data is in a preset data list or not, and if the target data is in the data list, determining that the target data is not checked;

if the target data are not in the data list, judging whether the target data meet a preset second AI auditing condition;

if the target data meet the second AI auditing condition, performing second AI auditing on the target data to obtain a second AI auditing result, and displaying the second AI auditing result to a worker to obtain an indication command fed back by the worker, wherein the indication command is used for indicating whether the target data are audited or not;

and if the target data does not meet the second AI auditing condition, then the target data is determined to be audited.

3. The method of claim 1, wherein determining a parallel review result based on each of the first review results comprises:

determining whether a first auditing result which is characterized in that the auditing is not passed exists in each first auditing result;

if a first audit result which is characterized in that the audit is not passed exists, generating a parallel audit result which is characterized in that the audit is not passed;

and if the first audit result which is characterized in that the audit is not passed does not exist, generating a parallel audit result which is characterized in that the audit is passed.

4. The method of claim 1, further comprising:

when multimedia data are received, determining whether data corresponding to the multimedia data exist in a preset database;

if the data corresponding to the multimedia data exists, judging whether the multimedia data is consistent with the data, if not, replacing the multimedia data with the corresponding data in the database, generating replacement information, and displaying the replacement information;

and if the data corresponding to the multimedia data does not exist, storing the multimedia data into the database.

5. The method of claim 1, further comprising:

when a review request is received, determining data in a review completion state corresponding to the review request, and determining the data in the review completion state as the review data;

sending the review data to a reviewer corresponding to the review request, and acquiring a review result fed back by the reviewer after reviewing the review data;

and generating a review record of the review data based on the review result.

6. The method of claim 1, further comprising:

when a preset settlement node is reached, determining the auditors to which each audit record belongs based on the basic information of the auditors in each audit record;

and for each auditor, extracting the excitation factors in each audit record to which the auditor belongs, and generating the excitation information of the auditor based on each excitation factor and a preset excitation rule.

7. The method of claim 1, further comprising:

and if the number of the first auditing results of the target data received within a preset auditing duration does not meet the preset number, recovering the target data and generating a recovery record of the target data.

8. The method of claim 1, further comprising:

and if the audit type is not the parallel audit, performing preset internal audit processing on the target data to obtain an internal audit result after the internal audit processing is performed on the target data.

9. A data auditing apparatus, comprising:

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring data in a state to be audited and determining the data in the state to be audited as target data;

the first judgment unit is used for screening the target data to judge whether to audit the target data;

the first determining unit is used for determining whether the type of the target data to be audited is parallel audit or not if the target data is audited;

a second judging unit, configured to judge whether the number of first audit results of the target data received within a preset audit duration satisfies a preset number if the audit type is parallel audit;

a third determining unit, configured to determine a parallel audit result based on each first audit result if the number of first audit results of the target data received within a preset audit duration meets the preset number, and determine whether the target data meets a preset first AI audit condition;

the auditing unit is used for performing first AI auditing on the target data to obtain a first AI auditing result if the target data meets the first AI auditing condition;

and the first generating unit is used for determining a second auditing result of the target data based on the first AI auditing result and the parallel auditing result and generating an auditing record of the target data.

10. The apparatus according to claim 9, wherein the first determining unit comprises:

the first judging subunit is configured to judge whether the target data is in a preset data list, and if the target data is in the data list, determine not to perform auditing on the target data;

the second judging subunit is configured to, if the target data is not in the data list, judge whether the target data meets a preset second AI audit condition;

the auditing subunit is configured to perform a second AI audit on the target data to obtain a second AI audit result if the target data meets the second AI audit condition, and display the second AI audit result to a worker to obtain an indication command fed back by the worker, where the indication command is used to indicate whether to audit the target data;

and the first determining subunit is configured to determine to perform audit on the target data if the target data does not satisfy the second AI audit condition.

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