CN114154963A

CN114154963A - Data processing method and device, electronic equipment and storage medium

Info

Publication number: CN114154963A
Application number: CN202111494829.8A
Authority: CN
Inventors: 马明岩; 张家骐; 倪浩然
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2021-12-08
Filing date: 2021-12-08
Publication date: 2022-03-08

Abstract

The present disclosure provides a data processing method, which can be applied to the technical field of computers. The data processing method comprises the following steps: acquiring supervision behavior data generated in a business examination process; storing the supervision behavior data into a supervision behavior database according to a preset format; analyzing the supervision behavior data in the supervision behavior database, and generating an assessment question corresponding to the target supervision behavior data under the condition that the target supervision behavior data in the supervision behavior data meets a preset condition; and storing the examination questions into an examination question library. The present disclosure also provides a data processing apparatus, a device, a storage medium, and a program product.

Description

Data processing method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a data processing method, apparatus, device, medium, and program product.

Background

When an examination system for law enforcement officers performs an examination, a certain number of questions are generally obtained from a question bank and assembled into test papers for the examination of the examiners, and then the examiners are evaluated by adopting a uniform examination score accounting rule.

At least the following problems exist in the related art: in the related art, the question bank of the examination system has poor flexibility, the examination questions are difficult to update automatically according to the service scene, and the updating mode of the question bank needs to adopt a mode of uploading the questions manually, so that the workload is high, and the automation degree is low.

Disclosure of Invention

In view of the above, the present disclosure provides a data processing method, apparatus, device, medium, and program product.

According to a first aspect of the present disclosure, there is provided a data processing method including: acquiring supervision behavior data generated in a business examination process;

storing the supervision behavior data into a supervision behavior database according to a preset format;

analyzing the supervision behavior data in the supervision behavior database, and generating an assessment question corresponding to the target supervision behavior data under the condition that the target supervision behavior data in the supervision behavior data meets a preset condition; and

and storing the examination questions into an examination question library.

According to an embodiment of the present disclosure, in the case that the target supervision behavior data in the supervision behavior data meets a preset condition, generating an examination question corresponding to the target supervision behavior data includes:

acquiring a target field in the target supervision behavior data;

determining an evaluation score corresponding to the target supervision behavior data according to the target field and a preset evaluation rule;

and generating an assessment question corresponding to the target supervision behavior data under the condition that the evaluation value meets a preset value.

According to an embodiment of the present disclosure, the target field includes a risk level corresponding to the target regulatory behavior data and a probability level corresponding to the target regulatory behavior data;

wherein, the determining the evaluation score corresponding to the target supervision behavior data according to the target field and a preset evaluation rule includes:

determining a first evaluation score according to the risk level and a first evaluation rule corresponding to the risk level;

determining a second evaluation score according to the probability grade and a second evaluation rule corresponding to the probability grade;

and determining the evaluation score corresponding to the target supervision behavior data according to the first evaluation score and the second evaluation score.

According to an embodiment of the present disclosure, the generating an examination question corresponding to the target monitoring behavior data includes:

determining a supervision implementation list corresponding to the target supervision behavior data according to the target supervision behavior data;

acquiring assessment content from the supervision implementation list according to preset assessment content information corresponding to the supervision implementation list;

and generating the examination questions corresponding to the target supervision behavior data according to the examination contents.

According to an embodiment of the present disclosure, the storing the examination questions into the examination question library includes:

marking type labels for the examination questions according to preset question types;

and storing the examination questions marked with the type labels into the examination question library.

According to an embodiment of the present disclosure, the data processing method further includes:

determining a target test paper type corresponding to the examination type from a test paper type library according to the examination type;

acquiring a target question corresponding to the type of the target test paper from the examination question library according to the type of the target test paper;

and sending the target questions to an assessment end.

According to an embodiment of the present disclosure, the obtaining of the target question corresponding to the target test paper type from the examination question library according to the target test paper type includes:

determining a question type and weight information corresponding to the question type according to the target test paper type;

and acquiring the target question corresponding to the target test paper type from the examination question library according to the question type and the weight information corresponding to the question type.

receiving assessment data sent by the assessment end;

determining target data in the assessment data, wherein the target data is the assessment data meeting preset requirements in the assessment data;

and sending the target data to an authentication system so as to authenticate the appraisers corresponding to the target data.

A second aspect of the present disclosure provides a data processing apparatus comprising:

the first acquisition module is used for acquiring supervision behavior data generated in the service inspection process;

the first storage module is used for storing the supervision behavior data into a supervision behavior database according to a preset format;

the generation module is used for analyzing the supervision behavior data in the supervision behavior database and generating an examination question corresponding to the target supervision behavior data under the condition that the target supervision behavior data in the supervision behavior data meets a preset condition; and

and the second storage module is used for storing the examination questions into an examination question library.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the data processing method.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-mentioned data processing method.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described data processing method.

According to the embodiment of the disclosure, the supervision behavior data generated in the service examination process is acquired and stored in the supervision behavior database according to the preset format, then the supervision behavior data in the supervision behavior database is analyzed, the assessment questions corresponding to the target supervision behavior data are generated under the condition that the target behaviors in the supervision behavior data meet the preset conditions, and the assessment questions are stored in the assessment questions database, so that the automatic updating iteration of the assessment questions database is realized. The corresponding examination questions can be generated by analyzing the supervision behavior data generated in the service examination process, and the method can automatically adapt to new problems which continuously occur. The examination system at least partially solves the technical problems that examination systems in the related technologies need to update and expand question banks in a manual uploading mode and automatic updating of examination questions is difficult to realize according to examination scenes.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of a data processing method, apparatus, device, medium and program product according to embodiments of the disclosure;

FIG. 2 schematically shows a flow chart of a data processing method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow chart of a method of obtaining regulatory behavior data in an embodiment of the present disclosure;

FIG. 4 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure;

FIG. 5 is a flow chart of a method for obtaining assessment questions in one embodiment of the present disclosure;

FIG. 6 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure;

FIG. 7 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure; and

fig. 8 schematically shows a block diagram of an electronic device adapted to implement a data processing method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

At present, a traditional examination system mainly obtains a preset number of questions from a question bank to assemble into test paper for examination by an examiner when the examiner performs an examination, and evaluates the examiner by adopting a uniform examination score accounting rule. However, the question bank adopted by the examination system needs to be updated and expanded by a manual question uploading mode, and the workload is large.

In view of the above, the present disclosure is directed to the above technical problems, by obtaining supervision behavior data generated by a service reviewer during a service review process, analyzing the supervision behavior data, and then determining whether to generate an examination question corresponding to the supervision behavior data according to a target supervision behavior in the supervision behavior data and a preset condition, and generating and maintaining the examination question into an examination question library when the supervision behavior data meets the preset condition, an automatic update iteration of the examination question library is realized, an update of the examination question library can be realized without manually uploading a question, and a workload is greatly reduced. Meanwhile, corresponding examination questions are generated according to the obtained supervision behavior data generated by the service examiner in the service examination process, so that the examination question library can automatically adapt to new problems in the examination process.

Specifically, an embodiment of the present disclosure provides a data processing method, including acquiring supervision behavior data generated in a business review process; storing the supervision behavior data into a supervision behavior database according to a preset format; analyzing the supervision behavior data in the supervision behavior database, and generating an assessment question corresponding to the target supervision behavior data under the condition that the target supervision behavior data in the supervision behavior data meets a preset condition; and storing the examination questions into an examination question library.

It should be noted that the data processing method and apparatus determined by the embodiments of the present disclosure may be used in the computer field or the financial field. The data processing method and device determined by the embodiment of the disclosure can be used in any fields except the computer field and the financial field. The application fields of the data processing method and the data processing device determined by the embodiment of the disclosure are not limited.

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, necessary security measures are taken, and the customs of the public order is not violated.

Fig. 1 schematically illustrates an application scenario diagram of a data processing method, apparatus, device, medium, and program product according to embodiments of the present disclosure.

As shown in fig. 1, the application scenario 100 according to this embodiment may include a network, a terminal device, and a server. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the data processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the data processing apparatus provided by the embodiments of the present disclosure may be generally disposed in the server 105. The data processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the data processing apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The data processing method of the disclosed embodiment will be described in detail below with fig. 2 to 6 based on the scenario described in fig. 1.

Fig. 2 schematically shows a flow chart of a data processing method according to an embodiment of the present disclosure.

As shown in fig. 2, the data processing of this embodiment includes operations S210 to S240, and the data processing method may be performed by the server or the terminal device.

In operation S210, supervision behavior data generated during the business review process is acquired.

According to embodiments of the present disclosure, the business review may include, for example, a judicial-related review process. Such as jurisdictionally related calendar checks, penalties, enforcements, etc. Specifically, the business review may include, for example, checking a storage location of the hazardous chemical of the a corporation, a storage amount of the hazardous chemical, and the like.

According to an embodiment of the present disclosure, the supervision behavior data may include, for example, supervision behavior data formed by recording supervision behaviors generated by a business examiner in a business examination process in a preset format. For example, the business examiner checks the storage position of the dangerous chemicals of the enterprise A to form a supervision action, and records the supervision action in a preset format to form supervision action data.

According to an embodiment of the present disclosure, the supervision behavior data may include, for example, performing a business review using a dual-following-one disclosure mechanism, and recording supervision behaviors generated during the business review process, thereby forming supervision behavior data.

In operation S220, the supervision behavior data is stored in the supervision behavior database according to a preset format.

According to embodiments of the present disclosure, the preset format may include, for example, a format that enables supervision activities to be recorded in a uniform manner. The preset format may include, for example, a supervision object, supervision time, supervision results, whether supervision has a problem, the severity of the problem with supervision, and the like. Specifically, for example, for the supervision behavior of the detection class, the corresponding preset format may record the inspection behavior data in a format of an inspection object, inspection time, an inspection result, whether an inspection has a problem, and a severity of the inspection.

According to embodiments of the present disclosure, the regulatory behavior database may be used, for example, to store all regulatory behavior data generated during a business review.

Fig. 3 schematically illustrates a flow chart of a method of obtaining regulatory behavior data in an embodiment of the present disclosure.

As shown in fig. 3, the method includes operations S301 to S306.

In operation S301, an inspection implementation list is customized according to the regulatory issues, wherein the inspection implementation list includes the type of the regulatory issues.

In operation S302, a supervisory object is randomly extracted from a supervisory object library.

According to embodiments of the present disclosure, regulatory objects may include, for example, businesses, legal persons, natural persons, and the like.

In operation S303, a business examiner is randomly extracted from a business examiner library.

According to an embodiment of the present disclosure, one supervisory object corresponds to two business reviewers.

In operation S304, the service examiner supervises the supervised object according to the type of the supervised item to form a supervised behavior, and records the supervised behavior in a preset format to form corresponding supervised behavior data.

In operation S305, the regulatory behavior data is stored into a local database of the regulatory body.

According to embodiments of the present disclosure, the local database may comprise, for example, a MySQL database. MySQL database is an open source relational database management system that uses the most common database management language, the structured query language, for database management.

In operation S306, the monitoring behavior data is periodically acquired from the local database and stored in the monitoring behavior database.

According to the embodiment of the disclosure, the supervision behavior data generated by each supervision department can be stored in the local database, and the supervision behavior database can periodically acquire the supervision behavior data from the local database of each supervision department and store the supervision behavior data in the supervision behavior database.

In operation S230, the monitoring behavior data in the monitoring behavior database is analyzed, and an examination question corresponding to the target monitoring behavior data is generated when the target monitoring behavior data in the monitoring behavior data satisfies a preset condition.

According to the embodiment of the disclosure, under the condition that the target supervision behavior data in the supervision behavior data does not meet the preset condition, the assessment question corresponding to the target supervision behavior data is not generated.

According to embodiments of the present disclosure, the target regulatory behavior data may include, for example, the same type of regulatory behavior data. For example, the target regulatory behavior data may include regulatory behavior data generated by checking against the same item. Specifically, the target regulatory behavior data may be a plurality of pieces of regulatory behavior data generated by checking for a storage location of a hazardous article.

According to an embodiment of the present disclosure, in the case that the target supervision behavior data in the supervision behavior data meets a preset condition, generating an examination question corresponding to the target supervision behavior data includes: acquiring a target field in the target supervision behavior data; determining an evaluation score corresponding to the target supervision behavior data according to the target field and a preset evaluation rule; and generating an assessment question corresponding to the target supervision behavior data under the condition that the evaluation value meets a preset value.

According to an embodiment of the present disclosure, the generating an examination question corresponding to the target monitoring behavior data includes: determining a supervision implementation list corresponding to the target supervision behavior data according to the target supervision behavior data; acquiring assessment content from the supervision implementation list according to preset assessment content information corresponding to the supervision implementation list; and generating the examination questions corresponding to the target supervision behavior data according to the examination contents.

According to an embodiment of the present disclosure, the regulatory implementation list may include, for example, specific regulatory contents, regulatory modes, and the like, which are established according to regulatory issues. For example, the regulatory enforcement list for the inspection class may include inspection category, whether dual randomness is included, inspection item, inspection content, operation basis and requirement, and the like. The preset assessment content information can comprise examination categories, examination contents and the like. The examination content can include, for example, whether the examination type is field examination, whether the examination content changes the enterprise record item, whether there is a behavior of providing a false material for the record item in case of hiding, and the like.

Specifically, for example, the target supervision behavior is a supervision behavior of an inspection class, and the inspection implementation list corresponding to the target supervision behavior data includes an inspection class, whether dual randomness is included, an inspection mode, an inspection item, inspection content, an operation basis and a requirement, and the like. The preset assessment content information corresponding to the examination implementation list is an examination mode, whether double random is included or not and examination content. The generated assessment questions corresponding to the target supervision behavior data can comprise what kind of examination mode is adopted; what items the content includes, etc.

More specifically, for example, the target regulatory behavior data is behavior data for checking illegal execution of business activities of a building cleaning enterprise, and the regulatory enforcement list corresponding to the regulatory behavior data includes checking categories: checking on site; whether dual randomization was incorporated: if not; the checking mode comprises the following steps: key supervision and credit supervision; whether or not collaboration is required: if not; examination items: carrying out the inspection of the business activity condition of the building cleaning enterprise; checking the content: whether the record obtained by the building cleaning enterprise is valid, whether the record item is changed, whether the concealed situation provides the behavior of applying for the record by the false material, and the like. The preset assessment content information corresponding to the supervision implementation list comprises assessment examination categories, whether assessment is included in a double random manner or not and assessment examination content.

According to the embodiment of the disclosure, the assessment content acquired according to the preset assessment content information comprises examination categories: field check, whether double randomization is included: otherwise, checking the content: whether the record obtained by the building cleaning enterprise is valid, whether the record item is changed, whether the concealed situation provides the behavior of applying for the record by the false material, and the like.

According to an embodiment of the present disclosure, generating an assessment question corresponding to target regulatory behavior data (behavior data for checking illegal performance of business activities of building cleaning enterprises) may include: what is the type of inspection for the inspection of the business activity performance of the building cleaning enterprise, whether the inspection for the business activity performance of the building cleaning enterprise needs to be included in the double random, what is included in the inspection content for the inspection for the business activity performance of the building cleaning enterprise, and the like.

According to embodiments of the present disclosure, the goal field may include, for example, an item type, a probability level, a risk level, and the like.

According to the embodiment of the disclosure, the preset evaluation rule may include, for example, determining an evaluation score corresponding to the target supervision behavior data according to target fields such as probability level, risk level, and the like, and determining a key assessment question according to the evaluation score. Under the condition that the evaluation score reaches a preset value, the assessment question corresponding to the target supervision behavior data is described as a key assessment question, the assessment question corresponding to the target supervision behavior data is generated, and the assessment question is maintained in an assessment question library. And under the condition that the evaluation score does not reach the preset value, the evaluation score is not a key evaluation question and an evaluation question corresponding to the target supervision behavior data is not generated.

According to an embodiment of the present disclosure, the target field includes a risk level corresponding to the target regulatory behavior data and a probability level corresponding to the target regulatory behavior data; wherein, the determining the evaluation score corresponding to the target supervision behavior data according to the target field and a preset evaluation rule includes: determining a first evaluation score according to the risk level and a first evaluation rule corresponding to the risk level; determining a second evaluation score according to the probability grade and a second evaluation rule corresponding to the probability grade; and determining the evaluation score corresponding to the target supervision behavior data according to the first evaluation score and the second evaluation score.

According to embodiments of the present disclosure, the risk level may be used, for example, to characterize the severity of the inspection results corresponding to the regulatory behavior data. For example, the supervision behavior includes checking the placement position of the hazardous chemical substance, and the check result is that the placement position of the hazardous chemical substance is wrong, and at this time, the risk level corresponding to the supervision behavior data may be marked as level a.

According to an embodiment of the present disclosure, the probability level may include, for example, probabilities of occurrence of the same inspection result in characterizing the same type of regulatory behavior data. For example, 10 pieces of data in the target supervision behavior data are data for checking the placement positions of the hazardous chemical substances, wherein the checking result of 3 pieces of data is that the placement positions of the hazardous chemical substances are wrong, the probability of the occurrence of the wrong placement position of the hazardous chemical substances is 0.3, and the probability level corresponding to 0.3 may include two levels, for example.

According to an embodiment of the present disclosure, the first evaluation rule may for example comprise different grades of risk corresponding to different scores. For example, the risk levels include a level a, a level B, a level C, and a level D, and the evaluation scores of the level a, the level B, the level C, and the level D are all different. When the first evaluation score is determined, the risk grade is determined firstly, and then the corresponding evaluation score is determined according to the risk grade, namely the first evaluation score. Specifically, for example, if the risk level is level a, the first evaluation score is the evaluation score corresponding to level a.

According to an embodiment of the present disclosure, the second evaluation rule may for example comprise different levels of probability corresponding to different scores. For example, the probability grades include a first grade, a second grade, a third grade and a fourth grade, and the evaluation scores corresponding to the first grade, the second grade, the third grade and the fourth grade are all different. When the second evaluation score is determined, the probability grade is determined firstly, and then the corresponding evaluation score is determined according to the probability grade, namely the second evaluation score. Specifically, for example, if the probability level is two levels, the second evaluation score is the evaluation score when the probability level is two levels.

In operation S240, the examination questions are stored in the examination question library.

According to the embodiment of the disclosure, the examination questions are stored in the examination question library, so that the examination question library is automatically updated and iterated without manually uploading the examination questions.

Fig. 4 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure.

As shown in fig. 4, the data processing method includes operations S401 to S411.

In operation S401, supervision behavior data generated during a business review process is acquired.

In operation S402, the regulatory behavior data is stored in a preset format in the regulatory behavior database.

In operation S403, the monitoring behavior data in the monitoring behavior library is analyzed to determine target monitoring behavior data.

In operation S404, a target field in the target regulatory behavior data is obtained, wherein the target field includes a risk level corresponding to the target regulatory behavior data and a probability level corresponding to the target regulatory behavior data.

In operation S405, a first evaluation score is determined according to the risk level and a first evaluation rule corresponding to the risk level.

In operation S406, a second rating score is determined according to the probability level and a second rating rule corresponding to the probability level.

In operation S407, an evaluation score corresponding to the target regulatory behavior data is determined according to the first evaluation score and the second evaluation score.

In operation S408, it is determined whether the evaluation score exceeds a preset value. In a case where it is determined that the evaluation score does not exceed the preset value, performing operation S409; in case it is determined that the evaluation score exceeds the preset value, operation S410 is performed.

In operation S409, no examination question is generated, and the process ends.

In operation S410, a supervision enforcement manifest corresponding to the target supervision behavior data is determined according to the target supervision behavior data.

In operation S411, according to the preset assessment content information corresponding to the supervision implementation list, the assessment content corresponding to the preset assessment content information in the supervision implementation list is obtained.

In operation S412, an assessment question corresponding to the target supervised behavior data is generated according to the assessment content, and then operation S413 is performed.

In operation S413, the generated assessment questions are stored in the assessment question library.

According to the embodiment of the disclosure, the target supervision behavior data is obtained, and the evaluation score corresponding to the target supervision behavior data is analyzed according to the target field (risk level and probability level) in the target supervision behavior data, so that whether the examination question is generated or not is judged according to the specified preset value, and the generated examination question is maintained to the examination question library under the condition that the examination question is determined to be generated, so that self-updating iteration of the examination question library is realized.

According to an embodiment of the present disclosure, the storing the examination questions into the examination question library includes: marking type labels for the examination questions according to preset question types; and storing the examination questions marked with the type labels into the examination question library.

According to an embodiment of the disclosure, a topic type can include, for example, assessment content that characterizes an assessment topic. For example, the topic types can include exam-type topics, penalty-type topics, mandatory-type topics, and other types of topics. The type tags can include, for example, tags corresponding to the title type. For example, type labels may include checks, penalties, enforcement, and others.

According to the embodiment of the disclosure, the examination questions are labeled with type labels, so that the examination questions in the examination question library are divided into examination type questions, punishment type questions, mandatory type questions and other types of questions. When an examiner takes an examination, the examination questions can be comprehensively presented according to the four types of examination questions, and the examination questions are helpful for multi-directional evaluation of the examiner. Meanwhile, examination results can be independently scored from four dimensions of examination, punishment, enforcement and the like, when law enforcement personnel need to be selected, the examination results can be selected from different dimensions according to different tasks, and the professional degree of the business is improved.

According to an embodiment of the present disclosure, the data processing method further includes: determining a target test paper type corresponding to the examination type from a test paper type library according to the examination type; acquiring a target question corresponding to the type of the target test paper from the examination question library according to the type of the target test paper; and sending the target questions to an assessment end.

According to the embodiment of the disclosure, under the condition that the target test paper type corresponding to the assessment type does not exist in the test paper type library, the target test paper type corresponding to the assessment type is configured and stored in the test paper type library.

According to embodiments of the present disclosure, a type of assessment may include, for example, information characterizing the primary content of the assessment. For example, the assessment types can include content related to assessment-by-emphasis examination, content related to assessment-by-emphasis penalty, content related to assessment-by-emphasis enforcement, comprehensive assessment of examination, penalty, enforcement, and other four dimensions, and the like.

According to an embodiment of the present disclosure, the obtaining of the target question corresponding to the target test paper type from the examination question library according to the target test paper type includes: determining a question type and weight information corresponding to the question type according to the target test paper type; and acquiring the target question corresponding to the target test paper type from the examination question library according to the question type and the weight information corresponding to the question type.

According to the embodiment of the disclosure, different examination types correspond to corresponding test paper types, and the proportions of examination questions in four dimensions, namely examination, punishment, enforcement and other examination questions, corresponding to different test paper types are different. For example, if the examination type is the content related to the key examination, the examination question related to the examination in the corresponding test paper type has a higher proportion; and if the examination type is the content relevant to the key examination penalty, the examination question proportion relevant to the penalty in the corresponding test paper type is higher.

According to the embodiment of the disclosure, by marking the type labels on the examination questions, different examination types and examination paper types can be adopted according to different examination scenes during examination, and by adjusting the proportion of the four types of examination questions, the questions can be made more pertinently and flexibly adapted to different service scenes. Meanwhile, different examination types and test paper types are adopted, so that the examination personnel can be classified conveniently, the professional ability of the examination personnel is refined, and the best effort is achieved.

According to an embodiment of the present disclosure, the data processing method further includes: receiving assessment data sent by the assessment end; determining target data in the assessment data, wherein the target data is the assessment data meeting preset requirements in the assessment data; and sending the target data to an authentication system so as to authenticate the appraisers corresponding to the target data.

According to the embodiment of the present disclosure, the examination data satisfying the preset requirement may include, for example, examination data in which an examination is qualified, examination data in which examination scores are in a preset ranking, and the like.

According to the embodiment of the disclosure, after the assessment personnel complete assessment at the assessment end, the examination system analyzes the assessment data to determine the assessment data meeting the preset requirements as target data, and then sends the target data to the authentication system so that the authentication system can perform authentication.

According to the embodiment of the disclosure, the examination system and the authentication system can communicate through an http protocol, so that target data in the examination system can be sent to the authentication system for on-line authentication without manually handling relevant operations such as registration of examination personnel off-line, and the workload is greatly reduced; and the online processing has full-flow recording and time control, which is beneficial to improving the work efficiency.

FIG. 5 is a flow chart schematically illustrating a method for obtaining assessment questions in an embodiment of the present disclosure.

As shown in fig. 5, the method includes operations S501 to S507.

In operation S501, assessment types are acquired.

In operation S502, it is determined whether there is a target test paper type corresponding to the examination type in the test paper type library. Executing operation S503 if it is determined that there is no target test paper type corresponding to the examination type in the test paper type library; in case that it is determined that there is a target test paper type corresponding to the examination type in the test paper type library, operation S504 is performed.

In operation S503, a target test paper type corresponding to the assessment type is configured and stored in the test paper type library, and then operation S504 is performed.

In operation S504, a target test paper type corresponding to the examination type is determined from the test paper type library.

In operation S505, a topic type and weight information corresponding to the topic type are determined according to a target test paper type.

In operation S506, a target question corresponding to the type of the target test paper is obtained from the examination question library according to the question type and the weight information corresponding to the question type.

In operation S507, the target topic is sent to the assessment end.

Fig. 6 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure.

As shown in fig. 6, the data processing method includes operations S601 to S616.

In operation S601, the supervisory system acquires supervisory issues.

In operation S602, a supervisory object is extracted from a supervisory object library.

In operation S603, a service reviewer is extracted from the service reviewer library.

In operation S604, the service examiner checks the supervised object according to the supervision items, and records the supervision behavior in a preset format to form supervision behavior data.

In operation S605, the administrative behavior data is stored into the administrative behavior database.

In operation S606, the examination system acquires the monitoring behavior data in the monitoring behavior database, analyzes the monitoring behavior, and determines target monitoring behavior data.

In operation S607, it is determined whether the target supervision behavior data satisfies a preset condition. Executing operation S608 if the target supervision behavior data does not satisfy the preset condition; in a case where the target supervision behavior data satisfies the preset condition, operation S609 is performed.

In operation S608, no assessment questions are generated, and the process ends.

In operation S609, an assessment question corresponding to the target supervision behavior data is generated.

In operation S610, the examination questions are stored in the examination question library.

In operation S611, a target question is obtained from the examination question library according to the examination type.

In operation S612, the target question is sent to the assessment terminal, so as to assess the assessment personnel.

In operation S613, the examination system analyzes the assessment data, determines target data, and transmits the target data to the authentication system.

In operation S614, the authentication system acquires target data transmitted by the test system.

In operation S615, an authentication process is performed on the examiner corresponding to the target data.

In operation S616, the certified examiner list is sent to the supervision system, so that the supervision system adds the certified examiner list to the business examiner library.

According to the embodiment of the disclosure, the examination system, the authentication system and the supervision system are in communication connection, so that the service examiner can form a closed loop from the whole process of examination, authentication, service examination, supervision behavior data acquisition and examination question library updating, virtuous cycle of the system can be realized, the service ability of the service examiner can be continuously improved, and the examination question library of the service examiner is not enriched.

It should be noted that, unless explicitly stated that there is an execution sequence between different operations or there is an execution sequence between different operations in technical implementation, the execution sequence between multiple operations may not be sequential, or multiple operations may be executed simultaneously in the flowchart in this disclosure.

Based on the data processing method, the disclosure also provides a data processing device. The apparatus will be described in detail below with reference to fig. 7.

Fig. 7 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure.

As shown in fig. 7, the data processing apparatus 700 of this embodiment includes a first obtaining module 710, a first storing module 720, a generating module 730, and a second storing module 740.

The first obtaining module 710 is used for obtaining the supervision behavior data generated in the business examination process. In an embodiment, the first obtaining module 710 may be configured to perform the operation S210 described above, which is not described herein again.

The first storage module 720 is configured to store the regulatory behavior data into a regulatory behavior database according to a preset format. In an embodiment, the first storage module 720 may be configured to perform the operation S220 described above, which is not described herein again.

The generating module 730 is configured to analyze the monitoring behavior data in the monitoring behavior database, and generate an examination question corresponding to the target monitoring behavior data when the target monitoring behavior data in the monitoring behavior data meets a preset condition. In an embodiment, the generating module 730 may be configured to perform the operation S230 described above, which is not described herein again.

The second storage module 740 is configured to store the examination questions into an examination question library. In an embodiment, the second storage module 740 may be configured to perform the operation S240 described above, which is not described herein again.

According to an embodiment of the present disclosure, a generation module includes a first acquisition unit, a first determination unit, and a first generation unit.

And the first acquisition unit is used for acquiring a target field in the target supervision behavior data.

And the first determining unit is used for determining an evaluation score corresponding to the target supervision behavior data according to the target field and a preset evaluation rule.

And the first generating unit is used for generating an assessment question corresponding to the target supervision behavior data under the condition that the evaluation value meets a preset value.

According to an embodiment of the present disclosure, the target field includes a risk level corresponding to the target regulatory behavior data and a probability level corresponding to the target regulatory behavior data.

According to an embodiment of the present disclosure, the first determination unit includes a first determination subunit, a second determination subunit, and a third determination subunit.

And the first determining subunit is used for determining a first evaluation score according to the risk level and a first evaluation rule corresponding to the risk level.

And the second determining subunit is used for determining a second evaluation score according to the probability grade and a second evaluation rule corresponding to the probability grade.

And a third determining subunit, configured to determine the evaluation score corresponding to the target monitoring behavior data according to the first evaluation score and the second evaluation score.

According to an embodiment of the present disclosure, the generation module includes a third determination unit, a third acquisition unit, and a second generation unit.

And a third determining unit, configured to determine, according to the target supervision behavior data, a supervision implementation list corresponding to the target supervision behavior data.

And the third acquisition unit is used for acquiring assessment content from the supervision implementation list according to preset assessment content information corresponding to the supervision implementation list.

And the second generating unit is used for generating the examination question corresponding to the target supervision behavior data according to the examination content.

According to an embodiment of the present disclosure, the second storage module includes a marking unit and a storage unit.

And the marking unit is used for marking the type labels of the examination questions according to the preset question types.

And the storage unit is used for storing the examination questions marked with the type labels into the examination question library.

According to an embodiment of the present disclosure, the data processing apparatus further includes a first determining module, a second obtaining module, and a first sending module.

The first determining module is used for determining a target test paper type corresponding to the assessment type from the test paper type library according to the assessment type.

And the second acquisition module is used for acquiring the target question corresponding to the type of the target test paper from the examination question library according to the type of the target test paper.

And the first sending module is used for sending the target question to the examination end.

According to an embodiment of the present disclosure, the second acquisition module includes a second determination unit and a second acquisition unit.

And a second determining unit, configured to determine a topic type and weight information corresponding to the topic type according to the target test paper type.

And a second obtaining unit, configured to obtain the target question corresponding to the target test paper type from the examination question library according to the question type and the weight information corresponding to the question type.

According to an embodiment of the present disclosure, the data processing apparatus further includes a receiving module, a second determining module, and a second sending module.

And the receiving module is used for receiving the assessment data sent by the assessment end.

And the second determining module is used for determining target data in the assessment data, wherein the target data is the assessment data meeting the preset requirements in the assessment data.

And the second sending module is used for sending the target data to an authentication system so as to authenticate the appraisers corresponding to the target data.

According to the embodiment of the present disclosure, any plurality of the first obtaining module 710, the first storing module 720, the generating module 730, and the second storing module 740 may be combined and implemented in one module, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 710, the first storing module 720, the generating module 730, and the second storing module 740 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or implemented by a suitable combination of any of them. Alternatively, at least one of the first obtaining module 710, the first storing module 720, the generating module 730 and the second storing module 740 may be at least partially implemented as a computer program module, which when executed may perform a corresponding function.

It should be noted that, the information monitoring apparatus part in the embodiment of the present disclosure corresponds to the information monitoring method part in the embodiment of the present disclosure, and the description of the information monitoring apparatus part specifically refers to the information monitoring method part, which is not described herein again.

As shown in fig. 8, an electronic device 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.

In the RAM803, various programs and data necessary for the operation of the electronic apparatus 800 are stored. The processor 801, the ROM802, and the RAM803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM802 and/or RAM 803. Note that the programs may also be stored in one or more memories other than the ROM802 and RAM 803. The processor 801 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

Electronic device 800 may also include input/output (I/O) interface 805, input/output (I/O) interface 805 also connected to bus 804, according to an embodiment of the present disclosure. Electronic device 800 may also include one or more of the following components connected to I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM802 and/or RAM803 described above and/or one or more memories other than the ROM802 and RAM 803.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the data processing method provided by the embodiment of the disclosure.

The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 801. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of a signal on a network medium, distributed, downloaded and installed via communication section 809, and/or installed from removable media 811. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A method of data processing, comprising:

acquiring supervision behavior data generated in a business examination process;

and storing the examination questions into an examination question library.

2. The method of claim 1, wherein the generating an assessment question corresponding to target regulatory behavior data in the regulatory behavior data if the target regulatory behavior data meets a preset condition comprises:

acquiring a target field in the target supervision behavior data;

and generating an assessment question corresponding to the target supervision behavior data under the condition that the evaluation score meets a preset value.

3. The method of claim 2, wherein the objective field includes a risk level corresponding to the objective regulatory behavior data and a probability level corresponding to the objective regulatory behavior data;

wherein the determining of the evaluation score corresponding to the target supervision behavior data according to the target field and a preset evaluation rule includes:

4. The method of claim 1, wherein the generating assessment questions corresponding to the target regulatory behavior data comprises:

and generating the assessment questions corresponding to the target supervision behavior data according to the assessment contents.

5. The method of claim 1, wherein the storing the assessment questions into a assessment questions library comprises:

marking a type label for the examination question according to a preset question type;

and storing the assessment questions marked with the type labels into the assessment question library.

6. The method of claim 5, further comprising:

and sending the target questions to an assessment end.

7. The method of claim 6, wherein the obtaining of the target question corresponding to the target test paper type from the examination question library according to the target test paper type comprises:

and acquiring the target questions corresponding to the target test paper types from the examination question library according to the question types and the weight information corresponding to the question types.

8. The method of claim 6, further comprising:

receiving assessment data sent by the assessment terminal;

9. A data processing apparatus comprising:

10. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.

11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 7.

12. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 7.