CN111813966B

CN111813966B - Data auditing method and device

Info

Publication number: CN111813966B
Application number: CN202010668293.6A
Authority: CN
Inventors: 杨璐宇; 陈超; 宛高峰; 熊苍明
Original assignee: Hunan Happly Sunshine Interactive Entertainment Media Co Ltd
Current assignee: Hunan Happly Sunshine Interactive Entertainment Media Co Ltd
Priority date: 2020-07-13
Filing date: 2020-07-13
Publication date: 2024-02-27
Anticipated expiration: 2040-07-13
Also published as: CN111813966A

Abstract

The invention provides a data auditing method and device, wherein the method comprises the following steps: acquiring data in a state to be checked, determining the data as target data, and screening the target data to judge whether to check the target data; if the auditing is carried out, determining whether the auditing type is parallel auditing; if the parallel auditing is performed, judging whether the number of the first auditing results received in the auditing time length meets the preset number; if yes, determining a parallel auditing result, and judging whether the target data meets a first AI auditing condition; if yes, 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. After the data to be audited is acquired, the data is screened, an AI auditing mode is introduced, the time spent for auditing the data is reduced, and the efficiency of auditing the data is improved.

Description

Data auditing method and device

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a data auditing method and apparatus.

Background

With the rapid development of computer networks, multimedia data of various multimedia companies is increasing. In order to build a good network environment, the multimedia data of each large multimedia company needs to be audited before being released, and only the multimedia data which passes the audit can be released, so that the content of the released multimedia data is ensured to be positive and healthy, and thus, a good network environment is built for each network citizen.

At present, the data is generally audited by auditors in the multimedia company, and the data to be audited is exponentially increased along with the increase of the user demands; when a large number of data auditors audit data, the data needs to be screened or distributed one by one, the process is complicated, a large amount of time is needed, and the auditing efficiency is low.

Disclosure of Invention

In view of the above, the invention provides a data auditing method, and by applying the method provided by the invention, through screening data and introducing AI auditing, the manual participation process can be reduced, the flow of data auditing is shortened, and the auditing efficiency of the data 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 above purpose, the present invention provides the following technical solutions:

a data auditing method, comprising:

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

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

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

if the auditing type is parallel auditing, judging whether the number of first auditing results of the target data received in a preset auditing duration meets a preset number;

if the number of the first audit results of the target data received within the preset audit duration meets the preset number, determining parallel audit results based on the first audit results, and judging whether the target data meets a preset first AI audit 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 audit result of the target data based on the first AI audit result and the parallel audit result, and generating an audit record of the target data.

In the above method, optionally, the screening processing is performed on the target data to determine whether to audit the target data, including:

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 is not in the data list, judging whether the target data meets a preset second AI auditing condition or not;

if the target data meets 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 instruction command fed back by the worker, wherein the instruction command is used for indicating whether to audit the target data;

and if the target data does not meet the second AI auditing condition, determining to audit the target data.

The method, optionally, the determining a parallel audit result based on each first audit result includes:

determining whether first audit results which are characterized as audit failing exist in the first audit results or not;

If a first audit result which is characterized as not passing the audit exists, generating a parallel audit result which is characterized as not passing the audit;

and if the first audit result which is characterized as the audit failing is not existed, generating a parallel audit result which is characterized as the audit failing.

The method, optionally, further comprises:

when receiving multimedia data, determining whether data corresponding to the multimedia data exists in a preset database;

if the data corresponding to the multimedia data exist, judging whether the multimedia data are consistent with the data, if not, replacing the data corresponding to the multimedia data in the database with the multimedia data, 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 method, optionally, further comprises:

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 review data;

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

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

The method, optionally, further comprises:

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

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

The method, optionally, further comprises:

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

The method, optionally, further comprises:

if the auditing type is not parallel auditing, carrying out preset internal auditing processing on the target data to obtain an internal auditing result after the internal auditing processing is carried out on the target data.

A data auditing apparatus, comprising:

the acquisition unit is used for acquiring the data in the to-be-checked state and determining the data in the to-be-checked state as target data;

The first judging 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 auditing type for auditing the target data is parallel auditing if the target data is audited;

the second judging unit is used for judging whether the number of the first audit results of the target data received in the preset audit duration meets the preset number or not if the audit type is parallel audit;

the third judging unit is used for determining parallel auditing results based on the first auditing results if the number of the first auditing results of the target data received within the preset auditing duration meets the preset number, and judging whether the target data meets the preset first AI auditing condition or not;

the auditing unit is used for conducting first AI auditing on the target data if the target data meets the first AI auditing condition, so as to obtain a first AI auditing result;

the first generation unit is used for determining a second audit result of the target data based on the first AI audit result and the parallel audit result and generating audit records of the target data.

The above apparatus, optionally, the first determining unit includes:

the first judging subunit is used for judging whether the target data are in a preset data list or not, and if the target data are in the data list, determining that the target data are not checked;

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

the auditing subunit is used for conducting second AI auditing on the target data if the target data meets the second AI auditing condition, obtaining a second AI auditing result, 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 to audit the target data;

and the first determining subunit is used for determining to audit the target data if the target data does not meet the second AI audit condition.

The above apparatus, optionally, the third judging unit includes:

a second determining subunit, configured to determine whether a first audit result that is characterized as failing to pass the audit exists in each of the first audit results;

The first generation subunit is used for generating parallel auditing results which are characterized as failed auditing if the first auditing results which are characterized as failed auditing exist;

and the second generation subunit is used for generating parallel auditing results which are characterized as auditing passing if the first auditing results which are characterized as auditing failing do not exist.

The above device, optionally, further comprises:

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

a third judging subunit, configured to judge whether the multimedia data is consistent with the data if there is data corresponding to the multimedia data, and if not, replace 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 device, optionally, further comprises:

a third determining unit, configured to determine, when a review request is received, data in a review completed state corresponding to the review request, and determine the data in the review completed state as review data;

The transmitting unit is used for transmitting the review data to a reviewer corresponding to the review request and acquiring a review result fed back by the reviewer after the review of the review data;

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

The above device, optionally, further comprises:

a fourth determining unit, configured to determine, when a preset settlement node is reached, an auditor to which each audit record belongs, based on basic information of the auditor in each audit record;

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

The above device, 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 in the preset audit duration does not meet the preset number.

The above device, optionally, further comprises:

And the internal auditing unit is used for carrying out 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 carried out on the target data.

A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium resides to perform the data auditing method described above.

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 to perform 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 device, wherein the method comprises the following steps: acquiring data in a state to be checked, determining the data as target data, and screening the target data to judge whether to check the target data; if the auditing is carried out, determining whether the auditing type is parallel auditing; if the auditing type is parallel auditing, judging whether the number of the first auditing results received in the preset auditing duration meets the preset number; if yes, determining a parallel auditing result, and judging whether the target data meets a preset first AI auditing condition; if yes, 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 an audit record of the target data. After the data to be audited is acquired, the data is screened, an AI auditing mode is introduced in the auditing process, so that the manual participation degree is reduced, the time spent for auditing the data is shortened, 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 that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method for auditing data according to an embodiment of the present invention;

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

FIG. 3 is a flowchart of a method for auditing data 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 following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The present invention may be applicable to a computing environment consisting of distributed intelligent devices, or to numerous personal computers, server computers, multiprocessor devices, and so forth.

The embodiment of the 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, and the specific description is as follows:

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

In the method provided by the embodiment of the invention, the data in the state to be checked in the preset database is acquired, the data can be the data which is just stored in the database and not yet checked, the data which is already stored in the database and not yet checked can be acquired in a random mode, the acquisition can also be performed based on the acquisition priority of the data, and further the acquisition priority of the data can be determined according to parameters such as the time of waiting for checking of the data 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 no urgency; the level of data can be classified into a member and a non-member. It should be noted that the data in the pending state may be multimedia data, and specifically may be graphic 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 audited, S103 is executed; if the target is not audited, S108 is performed.

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, auditing the target data can lead to a conclusion whether to audit the target data; and if the target data is judged to be audited, auditing the target data, and updating the state of the target data into an auditing state.

S103, determining whether the auditing type for auditing the target data is parallel auditing, and if the auditing type for auditing the target data is determined to be parallel auditing, executing S104; and if the auditing type for auditing the target data is determined not to be parallel auditing, executing S109.

In the method provided by the embodiment of the invention, when the target data is checked, whether the type of checking the target data is parallel checking is required to be checked; the specific process of confirming whether the auditing type of auditing the target data is parallel auditing is as follows:

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

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

if the target data meets the parallel condition, determining that the auditing type for auditing the target data is parallel auditing;

and if the target data does not meet the parallel condition, determining that the auditing type for auditing the target data is not parallel auditing.

Further describing, the parallel condition includes preset parallel parameters, where 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 data, service types, parameters for characterizing whether the data is core data, and the like; when the data configuration parameters are matched with the parallel parameters in the parallel conditions, determining that the target data meets the parallel conditions; wherein, only 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 a parameter of the data configuration parameters that characterizes whether core data is consistent with non-core data of the parallel parameters, then it is determined that the data configuration parameters match the parallel parameters.

When the auditing of the target data is determined to be parallel auditing, the target data is subjected to parallel auditing; the specific process of parallel auditing the target data is as follows:

s104, judging whether the number of first audit results of the target data received in a preset audit time length meets the preset number; if the number of the first audit results of the target data received in the audit duration meets the preset number, executing S105; and if the number of the first checking results received in the checking duration does not meet the preset number, executing S110.

In the method provided by the embodiment of the invention, the auditing time length is the time length of parallel auditing of the target data, the auditing time length starts to count when auditing starts, and the auditing time length is set according to actual requirements, for example, 3 hours, 2 hours or 1 hour; judging whether the data of the first checking result of the target data received in the checking time meets the preset number or not; the first audit result is obtained by auditing the target data by an auditing person, and can be characterized as passing the audit or not passing the audit. The auditing personnel for auditing the target data at the moment are third-party auditing personnel, in other words, when the auditing type for auditing the target data is parallel auditing, the third-party auditing personnel are applied to auditing the target data.

Further to the description, the preset number may also be a preset number of auditors for auditing the target data; in the auditing duration, the auditing personnel can apply for auditing the target data, and when the personnel number for auditing the target data reaches the preset number, the auditing personnel is prompted that the personnel number of the target data is full, and the target data is not provided for the auditing personnel; when the number of the personnel applying for auditing the target data does not reach the preset number, prompting the auditing personnel to audit the target data, and prompting the auditing personnel to feed back the result of auditing the target data before the auditing time is over.

Further to describe, the method for judging whether the data of the first audit result of the target data received within the preset audit duration meets the preset number may be: counting the number of first audit results of the received target data when the audit duration is over, comparing the counted number with a preset number, and judging that the preset number is met if the comparison is consistent; 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 the preset number, executing S105, wherein the situation indicates that all auditing personnel auditing the target data feed back auditing results; if the number of the first audit results of the target data received in the audit duration does not meet the preset number, S110 is executed; the situation indicates that the auditing personnel for auditing the target data does not reach the preset auditing personnel or the auditing personnel does not audit the target data in time within the auditing time.

S105, determining parallel auditing results based on the first auditing results, and judging whether the target data meets a preset first AI auditing condition; if the target data meets 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, the parallel audit results are determined based on the first audit results, and the parallel audit can be characterized as audit passing or audit failing. The specific process of judging whether the target data meets the preset first AI auditing condition is as follows:

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

matching the data type parameter of the target data with each first AI audit parameter in the first AI audit condition to judge whether a first AI audit parameter matched with the data type parameter exists 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 does not meet the first AI auditing conditions.

Further, the data type parameter is used for characterizing 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, a picture type parameter, or the like. The first AI audit parameters include, but are not limited to, bullet screen type parameters, picture type parameters, text type parameters, etc.; further description is given, 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. Further to illustrate, the AI's mentioned herein are all artificial intelligence (Artificial Intelligence, AI)

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 a pre-trained AI audit model corresponding to the data type is called; and auditing the target data by using the AI audit model, and taking the result output by the AI audit model as a first AI audit result, wherein the first AI audit result can be characterized as audit passing or as audit failing. When the AI auditing model is used for auditing the target data, an algorithm in the AI auditing model can be used for extracting the target data, and if keywords are extracted from the target data, a first AI auditing result which is characterized as failing auditing can be generated; if the keywords are not extracted from the target data, a first AI auditing result which is characterized as auditing passing can be generated, and the extracted keywords of different AI auditing models are different. Wherein, different data types correspond to different AI audit models. The method comprises the steps of describing target data as a bullet screen type, calling AI auditing corresponding to the bullet screen type to extract the target data, and generating a first AI auditing result which is characterized as not passing the auditing if keywords are extracted from the target data; if the keyword is not extracted from the target data, a first AI auditing result which is characterized as auditing passing can be generated; wherein the keywords may be words containing devaluation or having discrimination semantics. The AI auditing model is arranged in the intelligent equipment, and the intelligent equipment can be called to process the target data.

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

In the method provided by the embodiment of the invention, whether a result which is characterized as failing to pass the audit exists in the first AI audit result and the parallel audit result is judged, and if so, a second audit result which is characterized as failing to pass the audit is generated; if the verification result does not exist, generating a second verification result which is characterized as verification passing; and the second checking result is a final result obtained by checking the target data. Further, after the second audit result of the target data is obtained, an audit record of the target data is generated, wherein the audit record includes, but is not limited to, basic information of auditors auditing the target data, time and specific content of the first audit result and content of parallel audit results fed back by each auditor, and the like.

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 ended, and the state of the target data is updated to be audit completion.

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 for auditing the target data is not parallel auditing, determining that the auditing type for auditing the target data is internal auditing; and carrying out preset internal auditing treatment on the target data, namely distributing the target data to internal auditors so as to enable the auditors to audit the target data and feed back an internal auditing result obtained by auditing the target data, wherein the internal auditing result can be characterized as auditing passing or auditing failing, and the internal auditing result can be used as a final auditing result of the target data. Further, after the internal auditing result after the internal auditing processing is performed on the target data is obtained, an auditing record of the target data is generated, wherein the auditing record comprises, but is not limited to, basic information of an internal auditing person, content of the internal auditing result fed back by the auditing person and the like.

S110, recycling the target data, and generating a recycling 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, re-auditing the target data, namely, updating the state of the target data into an unverified state so as to re-audit the target data; the method comprises the steps of marking the data subjected to the re-audit, and judging that the audit type of the target data is not parallel audit when judging whether the audit type of the target data is parallel audit or not, so as to perform internal audit processing 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 auditing result in an auditing time period, and auditing information of an auditor not feeding back an auditing result in the auditing time period.

In the method provided by the embodiment of the invention, the data in the state to be checked is obtained, and the data in the state to be checked is determined as target data; screening the target data to judge whether the target data is audited, 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 within a preset audit duration meets the 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 using the method and the device, whether the target data are subjected to auditing is determined by screening the target data, the data which do not need auditing can be effectively filtered, the auditing type of the filtered target data is determined, if the data are subjected to parallel auditing, whether the number of first auditing results of the target data received within a preset auditing time length meets the preset number is judged, and if the data are not met, the data are recovered to audit the data again, so that the data are ensured to be audited in time. Through screening the data, AI auditing is introduced, so that the workload of workers is effectively reduced, the time for the workers to audit the data is reduced, and the auditing efficiency of the data is improved.

In the method provided by the embodiment of the present invention, the target data is screened to determine whether to audit the target data, and referring to fig. 2, the process is described as follows:

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

In the method provided by the embodiment of the invention, the target data is analyzed to obtain the unique identification of the target data, wherein the unique identification can be a number formed by numbers or other types of unique identification information, and the unique identifications of different types of data are different, for example, the unique identification of the data of video can be a film and television record number or a film and television name and the like; the data list comprises a white list and a list, each preset list identifier is included in the data list and can be divided into a white list identifier and a black list identifier, wherein the white list identifier belongs to the white list, and the black list identifier belongs to the black list; traversing the unique identifier of the target data through each list identifier in the data list, judging whether the 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 identification corresponding to the unique identification, determining that the target data is in the data list.

S202, determining that the target data is not audited.

In the method provided by the embodiment of the invention, the target data is determined not to be audited, and the auditing flow of the target data is ended, wherein when the target data is in the data list, the target data is not audited, and if the unique identifier of the target data is a blacklist identifier, an auditing result representing that the auditing of the target data is not passed can be obtained; if the unique identifier of the target data is a white list identifier, an audit result indicating that the target data is audited is obtained.

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

In the method provided by the embodiment of the invention, the specific process of judging whether the target data meets the preset second AI auditing condition is as follows:

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

matching the data type parameter of the target data with each second AI audit parameter in the second AI audit condition to judge whether a second AI audit parameter matched with the data type parameter exists 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 may refer to the description of the data type parameter in S105 in fig. 1, and will not be described herein. The second AI audit parameters include, but are not limited to, a bullet screen type parameter, a picture type parameter, a text type parameter, and the like; the number and the seed number of the first AI audit parameter and the second AI audit parameter can be the same or different.

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 instruction command fed back by the worker, wherein the instruction command is used for indicating whether to audit the target data.

In the method provided by 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. In the method provided by the embodiment of the invention, after the second AI audit is carried out on the target data, a second AI audit result is obtained, wherein the second AI audit result can represent that the target data audit is passed or that the target data audit is not passed; displaying the second AI auditing result to a worker, wherein the worker can decide whether to audit the target data according to the second AI auditing result, and the worker feeds back an instruction command for indicating whether to audit the target data; if the instruction command instructs to audit the target data, S205 is executed; and if the indication command indicates that the target data is not audited, executing S202.

S205, determining to audit the target data.

According to the method provided by the embodiment of the invention, the data list is set to screen the data, so that some data which does not need to be audited are effectively removed, the data quantity which is required to be audited by the staff is effectively reduced, and the workload of the staff is further reduced; AI auditing is introduced, specific data can be initially audited, and whether the data need to be audited is determined according to the auditing result, so that the workload of staff is reduced, the time spent on auditing the data is reduced, and the data auditing efficiency is improved.

In the method provided by the embodiment of the invention, in the process of auditing the target data, if the auditing type of the target data is parallel auditing, and the number of the first auditing results received within the preset auditing duration meets the preset number, determining the parallel auditing results, wherein the specific flow is as follows with reference to fig. 3:

s301, determining whether first audit results which are characterized as audit failing exist in the first audit results; if a first checking result which is characterized as not passing the checking exists, S302 is executed; if there is no first audit result characterized as not passing the audit, then S303 is performed.

S302, generating parallel auditing results which are characterized as that auditing is not passed.

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

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

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

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

if the data corresponding to the multimedia data exist, judging whether the multimedia data are consistent with the data, if not, replacing the data corresponding to the multimedia data in the database with the multimedia data, generating replacement information, and displaying the replacement information; if the multimedia data are consistent, not storing the multimedia data into the database;

It should be noted that, when the media asset library sends the multimedia data, the media asset library has been subjected to preliminary screening, 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 the data identification mark of the multimedia data, wherein the data identification mark is the unique identification number of the multimedia data; traversing the unique identification number of the multimedia data to each data in a 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; if no data in the database corresponds to the unique identification number of the multimedia data, no data corresponding to the multimedia data exists 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 added; if the data corresponding to the multimedia data exist and the data are inconsistent with the multimedia data, replacing the multimedia data with the 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, the data in the database is ensured to be the latest data, and the replacement information comprises, but is not limited to, the updating time, the specific content of the inconsistent multimedia data and the data, and the like. By displaying the replacement information, an auditor who is auditing the data can be prompted that the data is replaced, and the latest data should be acquired for auditing.

According to the method provided by the embodiment of the invention, the fact that repeated data does not exist in the database is effectively ensured, so that 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 auditing efficiency of the data is further improved.

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

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, the data information in the review request is obtained, the data corresponding to the data information is determined in the data in the state of completion of the review, and the determined data is determined as review data; the review result may be characterized as a review pass or a review fail; the review records include, but are not limited to, review results of review data, information of review personnel and the like.

In 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 situation of misauditing of the data is avoided.

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

In the method provided by the embodiment of the invention, settlement nodes are set in units of days, weeks or months, and when the settlement nodes reach preset auditing nodes, the motivation information of each auditing person is required to be generated and displayed to the auditing person so as to motivate the auditing person to audit data. It should be noted that, the basic information includes, but is not limited to, name, job number, audit time, etc.; different types of data correspond to different incentive factors, and the incentive factors comprise, but are not limited to, the data type of the data corresponding to the audit record, the time spent on auditing the data, the audit type and the like; the incentive rule comprises a charging rule, an incentive system and the like, based on the charging rule, the incentive system and the incentive factors in the audit records corresponding to the auditors, the audit expense corresponding to the auditors can be obtained, the incentive information of the auditors can be generated, and the incentive information comprises but is not limited to the audit expense, rewarding information, punishment information and the like of the audited data of the auditors.

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

The auditing system or platform applied by the invention can be formed by integrating a data distribution mechanism, a data redundancy mechanism, an AI mechanism, a rechecking mechanism, a recovery mechanism and an excitation mechanism; the auditing system or the auditing platform can be provided with a web server, a corresponding server is configured, mysql (configuration), elastiscearch (storage) is deployed, websocket service is provided, and redundant data message pushing service is provided, wherein the technical scheme of openness + dis + lua is adopted; and (5) data docking of the media asset library and AI system access, wherein the media asset library is connected with the AI system. The data of the media asset library can be data of a third party service module;

the data distribution mechanism is provided with conditions for screening and auditing data, such as a screening policy, wherein the screening policy can comprise a data list, the data list is divided into a white list and a black list, the data is screened through the data 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 business can be reduced, and the screening and auditing conditions in the data distribution mechanism can be configured according to the requirements of business scenes.

The data redundancy mechanism is used for mainly comparing the multimedia data sent by the media asset library with the data in the database, and if the multimedia data does not have the corresponding data in the database, the multimedia data is updated to 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 auditors, and repeated audit is avoided.

The AI mechanism can conduct AI auditing, so that auditing cost can be reduced, auditing efficiency of data can be guaranteed, AI auditing can be conducted after parallel auditing is conducted, and auditing risks of the data can be reduced; the parallel auditing can be performed by a third party auditing personnel.

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

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

The excitation mechanism is used for generating excitation information of auditors based on excitation rules and excitation factors; the excitation rules can comprise charging rules, excitation systems and the like, and the excitation factors can be data types, audit types, duration, number and the like of data audited by auditors; and the settlement of the audit payment can be realized by taking the day and month as units based on the incentive rule, so that auditors are encouraged to improve the efficiency of auditing data.

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

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

A first judging unit 402, configured to perform screening processing on the target data, so as to judge whether to audit the target data;

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

a second judging unit 404, configured to judge 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 judging 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 judge 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 if the target data meets the first AI audit condition, so as to obtain a first AI audit result;

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

In the device provided by the embodiment of the invention, the data in the state to be checked is obtained, and the data in the state to be checked is determined as target data; screening the target data to judge whether the target data is audited, 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 within a preset audit duration meets the preset number; if the number of the received first auditing results meets the preset number, determining parallel auditing results and judging whether the target data meets the first AI auditing 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 using the device, data can be screened, some data can be effectively filtered, and after the data is audited, AI audit is introduced, so that 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 data audit efficiency is improved.

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

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

Based on the above scheme, the device provided by the embodiment of the invention further includes:

The embodiment of the invention also provides a storage medium, which comprises a stored program, wherein the program is used for controlling equipment where the storage medium is located to execute the data auditing method when running, and the method comprises the following steps:

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

The embodiment of the present invention further provides an electronic device, whose structural schematic diagram 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 configured to be executed by the one or more processors 503, where the one or more programs 502 perform the following operations:

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

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

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 elements and steps are described above generally in terms of functionality in order to clearly illustrate the 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 solution. 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

1. A method of data auditing, comprising:

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

if the target data is audited, determining whether the audit type of auditing the target data is parallel audit, including: analyzing the target data to obtain data configuration parameters of the target data; when any one of the data configuration parameters is consistent with the parameter corresponding to the parallel parameter in the parallel condition, determining that the target data meets the parallel condition; if the target data meets the parallel condition, determining that the auditing type for auditing the target data is parallel auditing; if the target data does not meet the parallel condition, determining that the auditing type for auditing the target data is not parallel auditing; the parallel parameters in the parallel condition at least comprise non-core parameters, service parameters and source parameters; the data configuration parameters at least comprise source parameters of data, service types and parameters for representing whether the data are core data or not;

If the auditing type is not parallel auditing, carrying out preset internal auditing processing on the target data to obtain an internal auditing result after the internal auditing processing is carried out on the target data; if the auditing type is parallel auditing, auditing the target data by using a third party auditing personnel to obtain a first auditing result of the target data, and judging whether the number of the first auditing results of the target data received within a preset auditing duration meets a preset number;

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

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

4. The method as recited in claim 1, further comprising:

5. The method as recited in claim 1, further comprising:

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

6. The method as recited in claim 1, further comprising:

7. The method as recited in claim 1, further comprising:

8. A data auditing apparatus, comprising:

The first determining unit is configured to determine, if the target data is audited, whether an audit type of auditing the target data is parallel audit, including: analyzing the target data to obtain data configuration parameters of the target data; when any one of the data configuration parameters is consistent with the parameter corresponding to the parallel parameter in the parallel condition, determining that the target data meets the parallel condition; if the target data meets the parallel condition, determining that the auditing type for auditing the target data is parallel auditing; if the target data does not meet the parallel condition, determining that the auditing type for auditing the target data is not parallel auditing; the parallel parameters in the parallel condition at least comprise non-core parameters, service parameters and source parameters; the data configuration parameters at least comprise source parameters of data, service types and parameters for representing whether the data are core data or not;

the internal auditing unit is used for carrying out 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 carried out on the target data;

The second judging unit is used for auditing the target data by using a third party auditor if the auditing type is parallel auditing, so as to obtain a first auditing result of the target data, and 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;

9. The apparatus according to claim 8, wherein the first judging unit includes: