Data processing method, device, electronic device and storage medium

Abstract

The present disclosure provides a data processing method that can be applied to the field of computer technology. The data processing method includes: obtaining regulatory behavior data generated during the business review process; storing the regulatory behavior data in a regulatory behavior database according to a preset format; analyzing the regulatory behavior data in the regulatory behavior database, and generating assessment questions corresponding to the target regulatory behavior data when the target regulatory behavior data in the regulatory behavior data meets the preset conditions; and storing the assessment questions in an assessment question library. The present disclosure also provides a data processing device, equipment, storage medium, and program product.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and more specifically to a data processing method, apparatus, device, medium and program product. Background Art

[0002] When conducting an examination for law enforcement personnel, the examination system generally obtains a certain number of questions from the question bank and assembles them into a test paper for the examinee to take the test, and then uses a unified test score calculation rule to evaluate the examinee.

[0003] There are at least the following problems in the related technology: the question bank of the examination system in the related technology has poor flexibility, and it is difficult to automatically update the test questions according to the business scenario. The updating method of the question bank requires manual uploading of questions, which has a large workload and a low degree of automation. Summary of the invention

[0004] In view of the above problems, the present disclosure provides a data processing method, apparatus, device, medium and program product.

[0005] According to a first aspect of the present disclosure, there is provided a data processing method, comprising: obtaining regulatory behavior data generated during a business review process;

[0006] Storing the above regulatory behavior data in a regulatory behavior database according to a preset format;

[0007] Analyzing the regulatory behavior data in the regulatory behavior database, and generating assessment questions corresponding to the target regulatory behavior data when the target regulatory behavior data in the regulatory behavior data meets a preset condition; and

[0008] The above examination questions are stored in the examination question library.

[0009] According to an embodiment of the present disclosure, when the target supervision behavior data in the above-mentioned supervision behavior data meets the preset conditions, generating the assessment questions corresponding to the above-mentioned target supervision behavior data includes:

[0010] Obtain the target field in the above target supervision behavior data;

[0011] Determine the evaluation score corresponding to the above target supervision behavior data according to the above target field and preset evaluation rules;

[0012] When the above evaluation score meets the preset value, an assessment question corresponding to the above target supervision behavior data is generated.

[0013] 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;

[0014] Among them, the evaluation score corresponding to the above-mentioned target supervision behavior data is determined according to the above-mentioned target field and preset evaluation rules, including:

[0015] Determine a first evaluation score according to the risk level and a first evaluation rule corresponding to the risk level;

[0016] Determine a second evaluation score according to the probability level and a second evaluation rule corresponding to the probability level;

[0017] The evaluation score corresponding to the target supervision behavior data is determined based on the first evaluation score and the second evaluation score.

[0018] According to an embodiment of the present disclosure, the above-mentioned generation of assessment questions corresponding to the above-mentioned target supervision behavior data includes:

[0019] Determine the supervision implementation list corresponding to the above-mentioned target supervision behavior data based on the above-mentioned target supervision behavior data;

[0020] Obtaining assessment content from the above-mentioned supervision implementation list according to the preset assessment content information corresponding to the above-mentioned supervision implementation list;

[0021] The above-mentioned assessment questions corresponding to the above-mentioned target regulatory behavior data are generated based on the above-mentioned assessment content.

[0022] According to an embodiment of the present disclosure, storing the above-mentioned examination questions in the examination question library includes:

[0023] According to the preset question type, mark the type label for the above assessment questions;

[0024] The examination questions marked with the above-mentioned type tags are stored in the above-mentioned examination question library.

[0025] According to an embodiment of the present disclosure, the data processing method further includes:

[0026] According to the assessment type, a target test paper type corresponding to the above assessment type is determined from the test paper type library;

[0027] According to the target test paper type, a target question corresponding to the target test paper type is obtained from the test question database;

[0028] Send the above target questions to the assessment end.

[0029] According to an embodiment of the present disclosure, the step of obtaining a target question corresponding to the target test paper type from the test question library according to the target test paper type includes:

[0030] Determine the question type and the weight information corresponding to the question type according to the target test paper type;

[0031] According to the question type and the weight information corresponding to the question type, the target question corresponding to the target test paper type is obtained from the examination question library.

[0032] According to an embodiment of the present disclosure, the data processing method further includes:

[0033] Receiving the assessment data sent by the above assessment terminal;

[0034] Determining target data among the assessment data, wherein the target data is assessment data among the assessment data that meets preset requirements;

[0035] The target data is sent to the authentication system so that the examiner corresponding to the target data can be authenticated.

[0036] A second aspect of the present disclosure provides a data processing device, including:

[0037] The first acquisition module is used to obtain the regulatory behavior data generated during the business review process;

[0038] A first storage module, used to store the above-mentioned supervision behavior data in a supervision behavior database according to a preset format;

[0039] A generating module, configured to analyze the regulatory behavior data in the regulatory behavior database, and generate an assessment question corresponding to the target regulatory behavior data when the target regulatory behavior data in the regulatory behavior data meets a preset condition; and

[0040] The second storage module is used to store the above-mentioned examination questions in the examination question library.

[0041] A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the data processing method.

[0042] The fourth aspect of the present disclosure further provides a computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to execute the above-mentioned data processing method.

[0043] The fifth aspect of the present disclosure also provides a computer program product, including a computer program, which implements the above-mentioned data processing method when executed by a processor.

[0044] According to the embodiments of the present disclosure, by acquiring the regulatory behavior data generated during the business review process, and storing the regulatory behavior data in a regulatory behavior database according to a preset format, and then analyzing the regulatory behavior data in the regulatory behavior database, when it is determined that the target behavior in the regulatory behavior data meets the preset conditions, generating assessment questions corresponding to the target regulatory behavior data, and storing the assessment questions in the assessment question library, automatic updating and iteration of the assessment question library is achieved. By analyzing the regulatory behavior data generated during the business review process to generate corresponding assessment questions, it is also possible to automatically adapt to new problems that continue to emerge. At least partially solves the technical problem that the examination system in the related art needs to rely on manual uploading to update and expand the question bank, and it is difficult to realize automatic updating of the examination questions according to the examination scenario. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The above contents and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0046] Figure 1 The application scenario diagram of the data processing method, apparatus, device, medium and program product according to the embodiments of the present disclosure is schematically shown;

[0047] Figure 2 A flowchart schematically shows a data processing method according to an embodiment of the present disclosure;

[0048] Figure 3 The flowchart of the method for obtaining supervision behavior data in the embodiment of the present disclosure is schematically shown;

[0049] Figure 4 A flowchart schematically shows a data processing method according to another embodiment of the present disclosure;

[0050] Figure 5 A flowchart of a method for obtaining examination questions in one embodiment of the present disclosure is schematically shown;

[0051] Figure 6 A flowchart schematically shows a data processing method according to another embodiment of the present disclosure;

[0052] Figure 7 A structural block diagram schematically shows a data processing device according to an embodiment of the present disclosure; and

[0053] Figure 8 A block diagram of an electronic device suitable for implementing a data processing method according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0054] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0055] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0056] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification, and should not be interpreted in an idealized or overly rigid manner.

[0057] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0058] At present, the traditional examination system mainly obtains a preset number of questions from the question bank to assemble the test paper for the examinee to take the test, and uses a unified test score calculation rule to evaluate the examinee. However, the question bank used by the above examination system needs to be updated and expanded by manually uploading questions, which is a large workload.

[0059] In view of this, the present disclosure aims at the above technical problems, by obtaining the regulatory behavior data generated by the business review personnel in the process of business review, analyzing the regulatory behavior data, and then judging whether to generate the assessment questions corresponding to the regulatory behavior data according to the target regulatory behavior and preset conditions in the regulatory behavior data, and generating the assessment questions and maintaining them in the assessment question library when the regulatory behavior data meets the preset conditions, thereby realizing the automatic update and iteration of the assessment question library, and updating the assessment question library without manually uploading the questions, which greatly reduces the workload. At the same time, the corresponding assessment questions are generated according to the regulatory behavior data generated by the business review personnel in the process of business review, so that the assessment question library can automatically adapt to new problems arising in the review process.

[0060] Specifically, an embodiment of the present disclosure provides a data processing method, including obtaining regulatory behavior data generated during a business review process; storing the regulatory behavior data in a regulatory behavior database in a preset format; analyzing the regulatory behavior data in the regulatory behavior database, and generating assessment questions corresponding to the target regulatory behavior data when target regulatory behavior data in the regulatory behavior data meets preset conditions; and storing the assessment questions in an assessment question library.

[0061] It should be noted that the data processing method and device determined in the embodiments of the present disclosure can be used in the computer field or the financial field. The data processing method and device determined in the embodiments of the present disclosure can also be used in any field other than the computer field and the financial field. The application field of the data processing method and device determined in the embodiments of the present disclosure is not limited.

[0062] In the technical solution disclosed in the present invention, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations, necessary confidentiality measures are taken, and do not violate public order and good morals.

[0063] Figure 1 The application scenario diagram of the data processing method, apparatus, device, medium and program product according to the embodiments of the present disclosure is schematically shown.

[0064] like Figure 1 As shown, the application scenario 100 according to this embodiment may include a network, a terminal device and a server. The network 104 is used to provide a medium for a communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0065] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only examples).

[0066] The terminal devices 101 , 102 , and 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers.

[0067] The server 105 may be a server that provides various services, such as a background management server (only an example) that provides support for websites browsed by users using the terminal devices 101, 102, and 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0068] It should be noted that the data processing method provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the data processing device provided in the embodiment of the present disclosure can generally be set in the server 105. The data processing method provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105. Accordingly, the data processing device provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105.

[0069] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0070] The following will be based on Figure 1 The scene described by Figure 2 to Figure 6 The data processing method of the disclosed embodiment is described in detail.

[0071] Figure 2 The flowchart of the data processing method according to the embodiment of the present disclosure is schematically shown.

[0072] like Figure 2 As shown, the data processing of this embodiment includes operations S210 to S240. The data processing method can be executed by a server or a terminal device.

[0073] In operation S210, regulatory behavior data generated during the business review process is obtained.

[0074] According to an embodiment of the present disclosure, the business review may include, for example, a judicial review process, such as a judicial schedule inspection, punishment, and enforcement. Specifically, the business review may include, for example, checking the storage location and storage volume of hazardous chemicals of Company A.

[0075] According to an embodiment of the present disclosure, the regulatory behavior data may include, for example, regulatory behavior data generated by a business reviewer during a business review process, which is recorded in a preset format. For example, a business reviewer inspects the storage location of hazardous chemicals of Company A, forming a regulatory behavior, and the regulatory behavior is recorded in a preset format to form a piece of regulatory behavior data.

[0076] According to an embodiment of the present disclosure, the regulatory behavior data may, for example, include performing business review using a double-along-one disclosure mechanism, and recording the regulatory behavior generated during the business review process, thereby forming the regulatory behavior data.

[0077] In operation S220, the regulatory behavior data is stored in a regulatory behavior database according to a preset format.

[0078] According to an embodiment of the present disclosure, the preset format may include, for example, a format capable of recording regulatory actions in a unified manner. The preset format may include, for example, the regulatory object, regulatory time, regulatory result, whether there is a problem with the supervision, the severity of the problem with the supervision, etc. Specifically, for example, for regulatory actions of the detection type, the corresponding preset format may be a format for recording the inspection behavior data in the format of the inspection object, inspection time, inspection result, whether there is a problem with the inspection, and the severity of the problem with the inspection.

[0079] According to an embodiment of the present disclosure, the regulatory behavior database may be used to store, for example, all regulatory behavior data generated during a business review process.

[0080] Figure 3 A flowchart of a method for obtaining regulatory behavior data in an embodiment of the present disclosure is schematically shown.

[0081] like Figure 3 As shown, the method includes operations S301 to S306.

[0082] In operation S301, an inspection implementation checklist is customized according to regulatory matters, wherein the inspection implementation checklist includes the type of regulatory matters.

[0083] In operation S302, a supervision object is randomly selected from a supervision object library.

[0084] According to an embodiment of the present disclosure, the supervision object may include, for example, an enterprise, a legal person, a natural person, etc.

[0085] In operation S303, a business reviewer is randomly selected from a business reviewer database.

[0086] According to an embodiment of the present disclosure, one supervision object corresponds to two business reviewers.

[0087] In operation S304, the business reviewer supervises the supervision object according to the type of supervision matter, forms supervision behavior, and records the supervision behavior in a preset format to form corresponding supervision behavior data.

[0088] In operation S305, the supervision behavior data is stored in a local database of the supervision department.

[0089] According to an embodiment of the present disclosure, the local database may include, for example, a MySQL database, which is an open-source relational database management system that uses the most commonly used database management language, Structured Query Language, for database management.

[0090] In operation S306, the supervision behavior data is periodically obtained from the local database, and the supervision behavior data is stored in the supervision behavior database.

[0091] According to an embodiment of the present disclosure, the regulatory behavior data generated by each regulatory department can be stored in a local database. The regulatory behavior database can regularly obtain the regulatory behavior data from the local database of each regulatory department and store the regulatory behavior data in the regulatory behavior database.

[0092] In operation S230, the regulatory behavior data in the regulatory behavior database is analyzed, and when target regulatory behavior data in the regulatory behavior data meets a preset condition, an assessment question corresponding to the target regulatory behavior data is generated.

[0093] According to an embodiment of the present disclosure, when the target supervision behavior data in the above-mentioned supervision behavior data does not meet the preset conditions, the examination questions corresponding to the above-mentioned target supervision behavior data are not generated.

[0094] According to an embodiment of the present disclosure, the target supervision behavior data may include, for example, the same type of supervision behavior data. For example, the target supervision behavior data may include supervision behavior data generated by an inspection of the same matter. Specifically, the target supervision behavior data may be multiple pieces of supervision behavior data generated by an inspection of the storage location of dangerous goods.

[0095] According to an embodiment of the present disclosure, when the target regulatory behavior data in the above-mentioned regulatory behavior data meets preset conditions, generating assessment questions corresponding to the above-mentioned target regulatory behavior data includes: obtaining the target field in the above-mentioned target regulatory behavior data; determining the evaluation score corresponding to the above-mentioned target regulatory behavior data according to the above-mentioned target field and preset evaluation rules; and generating assessment questions corresponding to the above-mentioned target regulatory behavior data when the above-mentioned evaluation score meets the preset value.

[0096] According to an embodiment of the present disclosure, the above-mentioned generation of assessment questions corresponding to the above-mentioned target regulatory behavior data includes: determining a regulatory implementation list corresponding to the above-mentioned target regulatory behavior data based on the above-mentioned target regulatory behavior data; obtaining assessment content from the above-mentioned regulatory implementation list based on preset assessment content information corresponding to the above-mentioned regulatory implementation list; and generating the above-mentioned assessment questions corresponding to the above-mentioned target regulatory behavior data based on the above-mentioned assessment content.

[0097] According to an embodiment of the present disclosure, the supervision implementation list may include, for example, specific supervision content and supervision methods formulated according to the supervision matters. For example, the supervision implementation list for inspections may include the inspection category, whether it is included in the double random inspection, inspection items, inspection content, operation basis and essentials, etc. The preset assessment content information may include, for example, the inspection category, inspection content, etc. The assessment content may include, for example, the inspection category is on-site inspection, and the inspection content is whether the enterprise's filing matters have changed, whether there is any concealment of the situation and the provision of false materials to apply for the filing certificate, etc.

[0098] Specifically, for example, if the target regulatory behavior is an inspection-type regulatory behavior, the inspection implementation list corresponding to the target regulatory behavior data includes the inspection category, whether it is included in the double random inspection, the inspection method, the inspection items, the inspection content, the operation basis and essentials, etc. The preset assessment content information corresponding to the inspection implementation list is the inspection method, whether it is included in the double random inspection, and the inspection content. The generated assessment questions corresponding to the target regulatory behavior data may include, for example, what kind of inspection method is used; what items are included in the inspection content, etc.

[0099] More specifically, for example, the target regulatory behavior data is the behavior data of inspecting the illegal business activities of building cleaning companies. The regulatory implementation list corresponding to the regulatory behavior data includes inspection category: on-site inspection; whether it is included in the double random inspection: no; inspection method: key supervision and credit supervision; whether coordination is required: no; inspection items: inspection of the business activities of building cleaning companies; inspection content: whether the registration certificate obtained by the building cleaning company is valid, whether the registration items have changed, whether there is any concealment of circumstances and providing false materials to apply for the registration certificate, etc. The preset assessment content information corresponding to the regulatory implementation list includes the assessment inspection category, whether the assessment is included in the double random inspection, and the assessment inspection content.

[0100] According to an embodiment of the present disclosure, the assessment content obtained according to the preset assessment content information includes inspection category: on-site inspection, whether it is included in the double random inspection: no, inspection content: whether the registration certificate obtained by the building cleaning company is valid, whether the registration matters have changed, whether there is any concealment of circumstances and providing false materials to apply for the registration certificate, etc.

[0101] According to an embodiment of the present disclosure, assessment questions generated corresponding to the target regulatory behavior data (behavior data of inspecting the illegal business activities of building cleaning companies) may include: what is the inspection category of the inspection of the business activities of building cleaning companies, whether the inspection of the business activities of building cleaning companies needs to be included in the double random inspection, what is included in the inspection content of the inspection of the business activities of building cleaning companies, etc.

[0102] According to an embodiment of the present disclosure, the target field may include, for example, event type, probability level, risk level, etc.

[0103] According to an embodiment of the present disclosure, the preset evaluation rules may include, for example, determining the evaluation score corresponding to the target supervision behavior data according to target fields such as probability level and risk level, and determining the key assessment questions according to the evaluation score. That is, when the evaluation score reaches the preset value, it means that the assessment question corresponding to the target supervision behavior data is a key assessment question, and the assessment question corresponding to the target supervision behavior data is generated and maintained in the assessment question library. When the evaluation score does not reach the preset value, it means that it is not a key assessment question, and the assessment question corresponding to the target supervision behavior data is not generated.

[0104] According to an embodiment of the present disclosure, the above-mentioned target field includes a risk level corresponding to the above-mentioned target regulatory behavior data and a probability level corresponding to the above-mentioned target regulatory behavior data; wherein, the above-mentioned determination of the evaluation score corresponding to the above-mentioned target regulatory behavior data according to the above-mentioned target field and preset evaluation rules includes: determining a first evaluation score according to the above-mentioned risk level and a first evaluation rule corresponding to the above-mentioned risk level; determining a second evaluation score according to the above-mentioned probability level and a second evaluation rule corresponding to the above-mentioned probability level; determining the above-mentioned evaluation score corresponding to the above-mentioned target regulatory behavior data according to the above-mentioned first evaluation score and the above-mentioned second evaluation score.

[0105] According to an embodiment of the present disclosure, the risk level can be used to characterize the severity of the inspection result corresponding to the regulatory behavior data. For example, the regulatory behavior includes inspecting the placement of hazardous chemicals, and the inspection result is that the placement of hazardous chemicals is wrong. At this time, the risk level corresponding to the regulatory behavior data can be marked as A.

[0106] According to an embodiment of the present disclosure, the probability level may include, for example, the probability of the same inspection result appearing in the regulatory behavior data of the same type. For example, if there are 10 pieces of data in the target regulatory behavior data for inspecting the placement of hazardous chemicals, and the inspection results of 3 pieces of data are that the placement of hazardous chemicals is wrong, then the probability of the placement of hazardous chemicals being wrong is 0.3, and the probability level corresponding to 0.3 may include, for example, level 2.

[0107] According to an embodiment of the present disclosure, the first evaluation rule may, for example, include different scores corresponding to different levels of risk. For example, the risk levels include A, B, C, and D, and the evaluation scores corresponding to A, B, C, and D are all different. When determining the first evaluation score, the risk level is first determined, and then the evaluation score corresponding to the risk level is determined according to the risk level, which is the first evaluation score. Specifically, for example, if the risk level is A, the first evaluation score is the evaluation score corresponding to A.

[0108] According to an embodiment of the present disclosure, the second evaluation rule may include, for example, different scores corresponding to different levels of probability. For example, the probability levels include level one, level two, level three, and level four, and the evaluation scores corresponding to level one, level two, level three, and level four are all different. When determining the second evaluation score, the probability level is first determined, and then the evaluation score corresponding to the probability level is determined according to the probability level, which is the second evaluation score. Specifically, for example, if the probability level is level two, the second evaluation score is the evaluation score when the probability level is level two.

[0109] In operation S240, the test questions are stored in a test question database.

[0110] According to the embodiments of the present disclosure, the examination questions are stored in the examination question library, so that the examination question library can be automatically updated and iterated without manual uploading of the examination questions.

[0111] According to the embodiments of the present disclosure, by acquiring the regulatory behavior data generated during the business review process, and storing the regulatory behavior data in a regulatory behavior database according to a preset format, and then analyzing the regulatory behavior data in the regulatory behavior database, when it is determined that the target behavior in the regulatory behavior data meets the preset conditions, generating assessment questions corresponding to the target regulatory behavior data, and storing the assessment questions in the assessment question library, automatic updating and iteration of the assessment question library is achieved. By analyzing the regulatory behavior data generated during the business review process to generate corresponding assessment questions, it is also possible to automatically adapt to new problems that continue to emerge. At least partially solves the technical problem that the examination system in the related art needs to rely on manual uploading to update and expand the question bank, and it is difficult to realize automatic updating of the examination questions according to the examination scenario.

[0112] Figure 4 The flowchart schematically shows a data processing method according to another embodiment of the present disclosure.

[0113] like Figure 4 As shown, the data processing method includes operations S401 to S411.

[0114] In operation S401, regulatory behavior data generated during the business review process is obtained.

[0115] In operation S402, the supervision behavior data is stored in a supervision behavior database according to a preset format.

[0116] In operation S403, the supervision behavior data in the supervision behavior library is analyzed to determine target supervision behavior data.

[0117] In operation S404, a target field in the target supervision behavior data is obtained, wherein the target field includes a risk level corresponding to the target supervision behavior data and a probability level corresponding to the target supervision behavior data.

[0118] In operation S405, a first evaluation score is determined according to the risk level and a first evaluation rule corresponding to the risk level.

[0119] In operation S406, a second evaluation score is determined according to the probability level and a second evaluation rule corresponding to the probability level.

[0120] In operation S407, an evaluation score corresponding to the target supervision behavior data is determined according to the first evaluation score and the second evaluation score.

[0121] In operation S408, it is determined whether the evaluation score exceeds a preset value. If it is determined that the evaluation score does not exceed the preset value, operation S409 is performed; if it is determined that the evaluation score exceeds the preset value, operation S410 is performed.

[0122] In operation S409, no test questions are generated and the process ends.

[0123] In operation S410 , a supervision implementation list corresponding to the target supervision behavior data is determined according to the target supervision behavior data.

[0124] 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.

[0125] In operation S412, an assessment question corresponding to the target supervision behavior data is generated according to the assessment content, and then operation S413 is performed.

[0126] In operation S413, the generated examination questions are stored in the examination question library.

[0127] According to the embodiments of the present disclosure, by acquiring the target supervision behavior data and analyzing the evaluation scores corresponding to the target supervision behavior data according to the target fields (risk level and probability level) in the target supervision behavior data, it is determined whether to generate assessment questions according to the specified preset values. If it is determined that the assessment questions are to be generated, the generated assessment questions are maintained in the assessment question library, thereby realizing self-update and iteration of the assessment question library.

[0128] According to an embodiment of the present disclosure, storing the examination questions in the examination question library includes: marking the examination questions with type labels according to preset question types; and storing the examination questions marked with the type labels in the examination question library.

[0129] According to an embodiment of the present disclosure, the question type may include, for example, the assessment content that characterizes the assessment question. For example, the question type may include an inspection type question, a punishment type question, a mandatory type question, and other types of questions. The type label may include, for example, a label corresponding to the question type. For example, the type label may include inspection, punishment, mandatory, and other.

[0130] According to the embodiments of the present disclosure, the type labels are marked on the assessment questions, so that the assessment questions in the assessment question library are divided into inspection type questions, punishment type questions, mandatory type questions and other types of questions. When taking the exam, the examinees can comprehensively set questions based on the four types of assessment questions, which is helpful for the comprehensive evaluation of the examinees. At the same time, the test results can be scored separately from the four dimensions of inspection, punishment, mandatory and others. When it is necessary to select law enforcement officers, they can be selected from different dimensions for different tasks to improve the professionalism of the business.

[0131] According to an embodiment of the present disclosure, the above-mentioned data processing method also includes: determining the target test paper type corresponding to the above-mentioned test type from the test paper type library according to the test type; obtaining the target questions corresponding to the above-mentioned target test paper type from the above-mentioned test question library according to the above-mentioned target test paper type; and sending the above-mentioned target questions to the test end.

[0132] According to an embodiment of the present disclosure, when there is no target test paper type corresponding to the assessment type in the test paper type library, a target test paper type corresponding to the assessment type is configured and stored in the test paper type library.

[0133] According to an embodiment of the present disclosure, the assessment type may include information representing the main content of the assessment. For example, the assessment type may include focusing on the content related to inspection, focusing on the content related to punishment, focusing on the content related to enforcement, and conducting a comprehensive assessment on the four dimensions of inspection, punishment, enforcement, and other dimensions.

[0134] According to an embodiment of the present disclosure, the above-mentioned obtaining target questions corresponding to the above-mentioned target test paper type from the above-mentioned assessment question library according to the above-mentioned target test paper type includes: determining the question type and the weight information corresponding to the above-mentioned question type according to the above-mentioned target test paper type; obtaining the above-mentioned target questions corresponding to the above-mentioned target test paper type from the above-mentioned assessment question library according to the question type and the above-mentioned weight information corresponding to the above-mentioned question type.

[0135] According to the embodiments of the present disclosure, different assessment types correspond to corresponding test paper types, and different test paper types correspond to different proportions of examination questions in the four dimensions of inspection, punishment, compulsory, and other dimensions. For example, if the assessment type focuses on the content related to inspection, then the proportion of examination questions related to inspection in the corresponding test paper type is higher; if the assessment type focuses on the content related to punishment, then the proportion of examination questions related to punishment in the corresponding test paper type is higher.

[0136] According to the embodiments of the present disclosure, by marking the type labels of the examination questions, different examination types and test paper types can be used according to different examination scenarios during the examination. By adjusting the proportion of the four types of examination questions, more targeted questions can be set, and different business scenarios can be flexibly adapted. At the same time, by using different examination types and test paper types, it is convenient to classify the examinees, refine the professional capabilities of the examinees, and make the best use of their talents.

[0137] According to an embodiment of the present disclosure, the above-mentioned data processing method also includes: receiving the assessment data sent by the above-mentioned assessment terminal; determining the target data in the above-mentioned assessment data, wherein the above-mentioned target data is the assessment data in the above-mentioned assessment data that meets the preset requirements; sending the above-mentioned target data to the authentication system so as to authenticate the assessor corresponding to the above-mentioned target data.

[0138] According to an embodiment of the present disclosure, the assessment data that meets the preset requirements may include, for example, assessment data of passing the examination, assessment data of an assessment score being in a preset ranking, and the like.

[0139] According to an embodiment of the present disclosure, after the assessor completes the assessment at the assessment end, the examination system analyzes the assessment data to determine the assessment data that meets the preset requirements as the target data, and then sends the target data to the authentication system for authentication.

[0140] According to the embodiments of the present disclosure, the examination system and the authentication system can communicate via the http protocol, so that the target data in the examination system can be sent to the authentication system for online authentication, eliminating the need for manual offline processing of examination personnel registration and other related operations, greatly reducing the workload; and the online processing has full-process recording and time control, which helps to improve work efficiency.

[0141] Figure 5 The flowchart of the method for obtaining examination questions in one embodiment of the present disclosure is schematically shown.

[0142] like Figure 5 As shown, the method includes operations S501 to S507.

[0143] In operation S501, the assessment type is obtained.

[0144] In operation S502, it is determined whether the test paper type library has a target test paper type corresponding to the assessment type. If it is determined that the test paper type library does not have a target test paper type corresponding to the assessment type, operation S503 is performed; if it is determined that the test paper type library has a target test paper type corresponding to the assessment type, operation S504 is performed.

[0145] In operation S503, a target test paper type corresponding to the assessment type is configured and stored in a test paper type library, and then operation S504 is performed.

[0146] In operation S504, a target test paper type corresponding to the assessment type is determined from the test paper type library.

[0147] In operation S505, the question type and weight information corresponding to the question type are determined according to the target test paper type.

[0148] In operation S506, a target question corresponding to the target test paper type is obtained from the examination question database according to the question type and the weight information corresponding to the question type.

[0149] In operation S507, the target topic is sent to the examination end.

[0150] Figure 6 The flowchart schematically shows a data processing method according to another embodiment of the present disclosure.

[0151] like Figure 6 As shown, the data processing method includes operations S601 to S616.

[0152] In operation S601, the supervision system obtains supervision matters.

[0153] In operation S602, a supervision object is extracted from a supervision object library.

[0154] In operation S603, business reviewers are extracted from a business reviewer database.

[0155] In operation S604, the business reviewer inspects the supervision object according to the supervision matters, and records the supervision behavior in a preset format to form supervision behavior data.

[0156] In operation S605, the supervision behavior data is stored in a supervision behavior database.

[0157] In operation S606 , the examination system obtains the supervision behavior data in the supervision behavior database, analyzes the supervision behavior, and determines target supervision behavior data.

[0158] In operation S607, it is determined whether the target supervision behavior data meets the preset conditions. If the target supervision behavior data does not meet the preset conditions, operation S608 is performed; if the target supervision behavior data meets the preset conditions, operation S609 is performed.

[0159] In operation S608, no test questions are generated and the process ends.

[0160] In operation S609, an assessment question corresponding to the target supervision behavior data is generated.

[0161] In operation S610, the examination questions are stored in the examination question library.

[0162] In operation S611, a target question is obtained from a test question library according to the test type.

[0163] In operation S612, the target topic is sent to the assessment end to facilitate the assessment of the assessor.

[0164] In operation S613, the examination system analyzes the assessment data, determines target data, and sends the target data to the authentication system.

[0165] In operation S614, the authentication system acquires the target data sent by the examination system.

[0166] In operation S615, the examiner corresponding to the target data is authenticated.

[0167] In operation S616, the list of certified examiners is sent to the supervision system so that the supervision system can add the list of certified examiners to the business reviewer database.

[0168] According to the embodiments of the present disclosure, the examination system, the certification system and the supervision system are communicatively connected, so that the entire process of examination, certification, business review, supervision behavior data collection and update of the assessment question bank for business reviewers forms a closed loop, which will realize a virtuous cycle of the system, and can realize the continuous improvement of the business capabilities of business reviewers, and enrich the assessment question bank for business reviewers.

[0169] It should be noted that, unless it is explicitly stated that there is a sequence of execution between different operations shown in the flowchart in the embodiments of the present disclosure, or there is a sequence of execution between different operations in technical implementation, otherwise, the execution order of multiple operations may not be prioritized, and multiple operations may also be executed simultaneously.

[0170] Based on the above data processing method, the present disclosure also provides a data processing device. Figure 7 The device is described in detail.

[0171] Figure 7 The structure block diagram of a data processing device according to an embodiment of the present disclosure is schematically shown.

[0172] like Figure 7 As shown, the data processing device 700 of this embodiment includes a first acquisition module 710 , a first storage module 720 , a generation module 730 and a second storage module 740 .

[0173] The first acquisition module 710 is used to acquire the supervision behavior data generated during the business review process. In one embodiment, the first acquisition module 710 can be used to perform the operation S210 described above, which will not be repeated here.

[0174] The first storage module 720 is used to store the supervision behavior data in a supervision behavior database according to a preset format. In one embodiment, the first storage module 720 can be used to perform the operation S220 described above, which will not be repeated here.

[0175] The generation module 730 is used to analyze the regulatory behavior data in the regulatory behavior database, and generate an assessment question corresponding to the target regulatory behavior data when the target regulatory behavior data in the regulatory behavior data meets the preset conditions. In one embodiment, the generation module 730 can be used to perform the operation S230 described above, which will not be repeated here.

[0176] The second storage module 740 is used to store the examination questions in the examination question library. In one embodiment, the second storage module 740 can be used to perform the operation S240 described above, which will not be described in detail here.

[0177] According to an embodiment of the present disclosure, the generating module includes a first acquiring unit, a first determining unit and a first generating unit.

[0178] The first acquisition unit is used to acquire the target field in the above target supervision behavior data.

[0179] The first determination unit is used to determine the evaluation score corresponding to the above-mentioned target supervision behavior data according to the above-mentioned target field and preset evaluation rules.

[0180] The first generating unit is used to generate an assessment question corresponding to the above-mentioned target supervision behavior data when the above-mentioned evaluation score meets a preset value.

[0181] 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.

[0182] According to an embodiment of the present disclosure, the first determining unit includes a first determining subunit, a second determining subunit, and a third determining subunit.

[0183] The first determining subunit is used to determine a first evaluation score according to the risk level and a first evaluation rule corresponding to the risk level.

[0184] The second determining subunit is used to determine a second evaluation score according to the above probability level and a second evaluation rule corresponding to the above probability level.

[0185] The third determination subunit is used to determine the above-mentioned evaluation score corresponding to the above-mentioned target supervision behavior data according to the above-mentioned first evaluation score and the above-mentioned second evaluation score.

[0186] According to an embodiment of the present disclosure, the generating module includes a third determining unit, a third acquiring unit and a second generating unit.

[0187] The third determining unit is used to determine the supervision implementation list corresponding to the above-mentioned target supervision behavior data according to the above-mentioned target supervision behavior data.

[0188] The third acquisition unit is used to obtain the assessment content from the above-mentioned supervision implementation list according to the preset assessment content information corresponding to the above-mentioned supervision implementation list.

[0189] The second generating unit is used to generate the above-mentioned assessment questions corresponding to the above-mentioned target supervision behavior data according to the above-mentioned assessment content.

[0190] According to an embodiment of the present disclosure, the second storage module includes a marking unit and a storage unit.

[0191] The marking unit is used to mark the type label of the above-mentioned examination questions according to the preset question type.

[0192] The storage unit is used to store the above-mentioned examination questions marked with the above-mentioned type tags in the above-mentioned examination question library.

[0193] According to an embodiment of the present disclosure, the above-mentioned data processing device also includes a first determining module, a second acquiring module and a first sending module.

[0194] The first determination module is used to determine the target test paper type corresponding to the above-mentioned assessment type from the test paper type library according to the assessment type.

[0195] The second acquisition module is used to acquire target questions corresponding to the target test paper type from the assessment question library according to the target test paper type.

[0196] The first sending module is used to send the above target questions to the assessment end.

[0197] According to an embodiment of the present disclosure, the second acquisition module includes a second determination unit and a second acquisition unit.

[0198] The second determining unit is used to determine the question type and the weight information corresponding to the question type according to the target test paper type.

[0199] The second acquisition unit is used to acquire 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.

[0200] According to an embodiment of the present disclosure, the above-mentioned data processing device also includes a receiving module, a second determining module and a second sending module.

[0201] The receiving module is used to receive the assessment data sent by the above-mentioned assessment terminal.

[0202] The second determination module is used to determine target data in the above-mentioned assessment data, wherein the above-mentioned target data is the assessment data in the above-mentioned assessment data that meets the preset requirements.

[0203] The second sending module is used to send the target data to the authentication system so as to authenticate the examiner corresponding to the target data.

[0204] According to an embodiment of the present disclosure, any multiple modules of the first acquisition module 710, the first storage module 720, the generation module 730, and the second storage module 740 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first acquisition module 710, the first storage module 720, the generation module 730, and the second storage module 740 can 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 can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware or in a suitable combination of any of them. Alternatively, at least one of the first acquisition module 710 , the first storage module 720 , the generation module 730 , and the second storage module 740 may be at least partially implemented as a computer program module, and when the computer program module is executed, a corresponding function may be executed.

[0205] It should be noted that the information supervision device part in the embodiment of the present disclosure corresponds to the information supervision method part in the embodiment of the present disclosure. The description of the information supervision device part specifically refers to the information supervision method part, which will not be repeated here.

[0206] Figure 8 A block diagram of an electronic device suitable for implementing a data processing method according to an embodiment of the present disclosure is schematically shown.

[0207] like Figure 8 As shown, the electronic device 800 according to an embodiment of the present disclosure includes a processor 801, which 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 part 808 to a random access memory (RAM) 803. The processor 801 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 801 may also include an 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 flow according to an embodiment of the present disclosure.

[0208] In RAM 803, various programs and data required for the operation of electronic device 800 are stored. Processor 801, ROM 802 and RAM 803 are connected to each other via bus 804. Processor 801 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 802 and / or RAM 803. It should be noted that the program can also be stored in one or more memories other than ROM 802 and RAM 803. Processor 801 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0209] According to an embodiment of the present disclosure, the electronic device 800 may further include an input / output (I / O) interface 805, which is also connected to the bus 804. The electronic device 800 may further include one or more of the following components connected to the I / O interface 805: an input portion 806 including a keyboard, a mouse, etc.; an output portion 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 808 including a hard disk, etc.; and a communication portion 809 including a network interface card such as a LAN card, a modem, etc. The communication portion 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the I / O interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 810 as needed, so that a computer program read therefrom is installed into the storage portion 808 as needed.

[0210] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0211] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, a computer-readable storage medium may include the ROM 802 and / or RAM 803 described above and / or one or more memories other than ROM 802 and RAM 803.

[0212] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the data processing method provided by the embodiment of the present disclosure.

[0213] The above functions defined in the system / device of the embodiment of the present disclosure are executed when the computer program is executed by the processor 801. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0214] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 809, and / or installed from a removable medium 811. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0215] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 809, and / or installed from the removable medium 811. When the computer program is executed by the processor 801, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0216] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0217] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0218] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0219] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A data processing method, comprising: Access to regulatory action data generated during the business review process; Storing the regulatory behavior data in a regulatory behavior database according to a preset format; Analyzing the regulatory behavior data in the regulatory behavior database, and generating an assessment question corresponding to the target regulatory behavior data when target regulatory behavior data in the regulatory behavior data meets a preset condition; as well as Storing the examination questions in an examination question library; Wherein, when the target supervision behavior data in the supervision behavior data meets the preset conditions, generating the assessment questions corresponding to the target supervision behavior data includes: Acquire a target field in the target regulatory behavior data, 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; Determine the evaluation score corresponding to the target supervision behavior data according to the target field and the preset evaluation rules; When the evaluation score meets the preset value, generating an assessment question corresponding to the target supervision behavior data; The step of generating the assessment questions corresponding to the target supervision behavior data includes: Determine, according to the target regulatory behavior data, a regulatory implementation list corresponding to the target regulatory behavior data; Acquiring assessment content from the supervision implementation list according to preset assessment content information corresponding to the supervision implementation list; The assessment questions corresponding to the target supervision behavior data are generated according to the assessment content.

2. The method according to claim 1, in, Determining the evaluation score corresponding to the target supervision behavior data according to the target field and the 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 level and a second evaluation rule corresponding to the probability level; The evaluation score corresponding to the target supervision behavior data is determined according to the first evaluation score and the second evaluation score.

3. The method according to claim 1, wherein: The storing of the examination questions into the examination question library comprises: According to the preset question type, marking the examination question with a type label; The examination questions marked with the type label are stored in the examination question library.

4. The method according to claim 3, further comprising: According to the assessment type, determining a target test paper type corresponding to the assessment type from a test paper type library; Acquire a target question corresponding to the target test paper type from the test question library according to the target test paper type; The target topic is sent to the assessment end.

5. The method according to claim 4, wherein: The step of acquiring a target question corresponding to the target test paper type from the test question library according to the target test paper type comprises: Determine the question type and the weight information corresponding to the question type according to the target test paper type; According to the question type and the weight information corresponding to the question type, the target question corresponding to the target test paper type is obtained from the examination question library.

6. The method according to claim 4, further comprising: Receiving assessment data sent by the assessment terminal; Determining target data in the assessment data, wherein the target data is assessment data in the assessment data that meets preset requirements; The target data is sent to an authentication system so as to authenticate the examiner corresponding to the target data.

7. A data processing device, comprising: The first acquisition module is used to obtain the regulatory behavior data generated during the business review process; A first storage module, used to store the supervision behavior data in a supervision behavior database according to a preset format; A generating module, used for analyzing the regulatory behavior data in the regulatory behavior database, and generating an examination question corresponding to the target regulatory behavior data when the target regulatory behavior data in the regulatory behavior data meets a preset condition; as well as A second storage module is used to store the examination questions in an examination question library; Wherein, the generating module comprises a first acquiring unit, a first determining unit, a first generating unit, a third determining unit, a third acquiring unit and a second generating unit; The first acquisition unit is used to acquire a target field in the target regulatory behavior data, 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; The first determining unit is used to determine the evaluation score corresponding to the target supervision behavior data according to the target field and the preset evaluation rule; The first generating unit is used to generate an assessment question corresponding to the target supervision behavior data when the evaluation score meets a preset value; The third determining unit is used to determine the supervision implementation list corresponding to the target supervision behavior data according to the target supervision behavior data; The third acquisition unit is used to acquire the assessment content from the supervision implementation list according to the preset assessment content information corresponding to the supervision implementation list; The second generating unit is used to generate the assessment questions corresponding to the target supervision behavior data according to the assessment content.

8. An electronic device comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors execute the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to execute the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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