Traffic management service scenarized simulation training system and evaluation method

Abstract

According to the traffic management business scenarized simulation practical training system provided by the invention, training data is generated for practical training based on historical real data through the intelligent business data and teaching aid generation module, so that the authenticity of the training data is ensured; the scene business handling simulation module simulates an interface and a flow of a real traffic management information system, and is matched with an imaging material which simulates archive data in an actual paper form and business submission data in a teaching aid, so that all business flows in all business scenes can be fully covered; and the teaching quality and the practical training effect are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent teaching technology, and specifically to a traffic management business scenario simulation training system and evaluation method. Background Art

[0002] The National Traffic Management Information System (NTMI) handles public services in accordance with departmental regulations and other requirements. Personnel handling these services must possess certain professional skills. To enhance the skills of traffic management personnel and students in related schools, provinces, municipalities, and colleges will conduct hands-on training.

[0003] The content of practical teaching covers all business processes in the traffic management information system. For example, major business types include: motor vehicle registration, driver's license management, traffic penalty processing, and traffic accident processing. Under each business type, there are also multiple specific businesses designed. For example, under the business type of motor vehicle registration, it involves: motor vehicle registration, transfer-in registration, transfer registration and other specific businesses. According to statistics, there are currently 81 specific businesses that require practical teaching for business processing personnel. Moreover, when processing different businesses, not only the relevant data of the business is involved, but also the processing of other related businesses. For example, when the applicant updates his mobile phone number when registering the transfer of a motor vehicle, the processing personnel will be required to merge the change business at the same time. Therefore, the content that actually needs to be taught is very complicated, and it is impossible to fully grasp it by relying on the teacher's unilateral explanation.

[0004] Different business scenarios should also be considered during instruction. These scenarios include: window service processing, examination management, file management, and online application centers. Different services may be handled in different scenarios. For example, applicants applying for motor vehicle registration can choose to submit their applications in person at the window service center or remotely through the online application center. Window service requires applicants to bring paper documents to the application center for in-person processing, and the staff's operations involve complex processes such as data collection and verification. For example, the application processing process involves not only the documents submitted by the applicant, but also the data collected by the staff, as well as the final documents or materials to be issued to the applicant. These processes present numerous challenges. In the online application center, applications primarily involve applicants submitting electronic documents remotely, and staff primarily only perform relatively simple operations such as data verification. Examination management and file management, on the other hand, do not involve applicants and only involve staff learning independent business logic. During practical instruction, business processes in various business scenarios are taught and assessed. However, current teaching is generally based on videos or teacher explanations. Some departments with conditions will also combine some actual business operations at the window. It is basically difficult for students to have complete and actual exposure to all processes, which makes it difficult for students to have an in-depth understanding of the various functions and applications of the traffic management information system.

[0005] Furthermore, with the deepening of the "streamlining administration, delegating power, and improving regulation and services" policy, traffic management information systems are upgraded multiple times annually, and traditional teaching content can no longer keep up with the pace of system and business updates. Furthermore, as the system becomes increasingly integrated with business scenarios, the correlation between business processes becomes stronger, and data verification logic becomes increasingly complete, provinces and cities are unable to use the actual traffic management information system as a simulation training system. Business windows can only conduct simple on-the-job training, which suffers from deficiencies in business coverage and process integrity, and is prone to generating dirty data, making it impossible to meet the needs of a large number of practical teaching. There is also a lack of means to evaluate practical training, resulting in incomplete scenario coverage, incomplete business processes, and the inability to fully evaluate teaching quality, which in turn affects the effectiveness of practical training. Summary of the Invention

[0006] In order to solve the problems in the existing technology of incomplete actual business scenarios, incomplete business processes and poor teaching quality evaluation in the traffic management teaching process, the present invention provides a traffic management business scenario simulation training system, which can efficiently and comprehensively simulate business actual combat scenarios and business processes, and effectively improve the teaching quality and effect; at the same time, this application also provides a traffic management business scenario simulation training and evaluation method.

[0007] The technical solution of the present invention is as follows: a traffic management business scenario simulation training system, characterized in that it includes: Intelligent business data and teaching aid generation module, scenario-based business processing simulation module, equipment simulation module, bypass operation log collection module, and assessment and evaluation module; The intelligent data and teaching aid generation module generates basic business data and teaching aids for training units in batches based on historical real data. Basic business data refers to the basic information required to meet normal business processing requirements during the business process, and is stored in the system's database in the form of a data dictionary. Teaching aids include: archival materials that simulate actual paper forms and image materials of business submission data. During the training process, business data and teaching aids are matched one-to-one and combined according to training requirements. Trainees carry out training operations according to the materials. The scenario-based business processing simulation module: as the student entrance module of the simulation training system of the traffic management information system, it provides students with various business process modules for practical training; the simulation content includes: the front-end interactive interface and back-end business logic corresponding to different business scenarios and different business types; each business process module executes a complete business according to the specified business type and the latest business logic; the scenario-based business processing simulation module uses the different business data generated by the intelligent data and teaching aid generation module according to the training purpose to start the corresponding business process module and guide students into the simulated business process; The business scenarios include: window business acceptance, examination management, file management and online service center; The device simulation module is applied to the client computer. When various hardware devices are required in the process of simulating the business process provided by the business process module, the device simulation module is called to provide the simulation operation process and the simulation data obtained after the operation. The simulation data generated by the device simulation module includes various document image data collected in the business process and various document image data generated in the end. The bypass operation log collection module collects student operation data as log information for subsequent assessment and acceptance during the simulation business process processing; After completing the practical training operation, the assessment and evaluation module reads and analyzes the log information stored in the bypass operation log collection module, assesses the trainee's business operation, and outputs the assessment results.

[0008] It is further characterized by: The teaching aids include: business scenario settings, material templates, key variable data, test questions, and assessment and evaluation rules; The business scenarios are set up to explain the business handling background of each teaching content included in the teaching aids, providing guidance for students to enter the process; the business scenarios are set up consistently for all students and are provided to students in paper or electronic form according to their actual needs; In the actual business process, the business scenarios are window business acceptance and online business center. Each business needs to be submitted with one or more documents. The material template is: for a specific submitted material, the data fields included in the material template belong to the parts that are allowed to be the same in the teaching aids of each student; the fields of the corresponding variable key data in the material template are empty; The variable key data is: for a specific type of submitted material, data that is different in each student's teaching aids; The material template and the variable key data together constitute a complete submission material; The test questions are assessment questions for students preset in the teaching aids. Each set of teaching aids includes a unique set of test questions. Students in the same group participating in the practical training assessment use different teaching aids, and each set of teaching aids has different assessment questions. Because each teaching aid contains unique test questions, independent assessment and evaluation rules must be designed for each set of test questions. These assessment and evaluation rules include three dimensions: business completeness, data collection accuracy, and operational timeliness. The types of submitted materials include: paper submission materials and image submission materials; The paper submission materials are used for business simulation practice when the business scenario is window business acceptance, and are provided to students in paper form; The materials submitted in image form are used for business simulation practice when the business scenario is the online service center, and are provided to students in electronic form; No submission materials are required for other business scenarios; In the scenario-based business handling simulation module, for the business scenario of window business acceptance, the computer extended screen is used to simulate the window dialogue scenario through AI digital human technology, verify the paper submitted materials, and complete the corresponding business operations; for the business scenario of the online service center, the simulation system interface of the online service center provides students with the materials submitted in image form and the corresponding business information on the corresponding process scenario page to complete the corresponding business operations; The log information includes: login user, operator IP address, PC hardware information, operation time, business position and operation content; The operation content includes: operation behavior, input content, key assessment point data and operation time; the key assessment point data includes: data simulated and generated by the equipment simulation module.

[0009] A traffic management business scenario simulation training and evaluation method, characterized in that it includes the following steps: S1: Design test questions; According to the assessment objectives, test questions are designed for each business to be processed; the test questions are set in locations including: variable key data, inherent data in the material template, business process and business logic; according to the test question design results, all test questions are pre-embedded in different locations; Create a question ID for each pre-buried question; S2: Generate data dictionary and image database; Based on the historical business database, various types of basic business data for all businesses are extracted from the existing actual historical data, and all data are stored in text form; The data dictionary includes: business data and business data relationships, wherein the business data relationships include: the business type corresponding to the business data, the table name, the corresponding keyword and the location information of the business data; The image database stores, in image format, templates for pre-made submission materials, templates for materials that need to be collected during the business process, and templates for certificates and materials that need to be provided to the applicant at the end of the business; S3: Confirm the business scenario corresponding to the business to be processed; If the business scenario is window service acceptance and online service center, execute step S4; Otherwise, execute step S7; S4: For each pending business, generate a material template for the materials required for the business. The specific steps include: Read the material data corresponding to the pending business in the historical data, which is recorded as: pending material; the pending material exists in the form of pictures; Confirming the variable key data corresponding to the business to be processed; identifying the variable key data in the material to be processed, removing the data fields corresponding to the variable key data corresponding to the material to be processed, and turning them into blank columns to obtain the material template; storing the material template in the form of an image; S5: Generate business data, specifically including the following steps: a1: Read the number N of teaching aids in this batch, where N is a natural number greater than 1; a2: Read the key variable data corresponding to the business to be processed. After reading N copies of key variable data from the data dictionary, adjust it according to the test question design results to generate N copies of key variable data. a3: Confirm whether each piece of data complies with the business logic and assessment requirements. If they do, obtain N pieces of business data. Assigning a unique business data ID to each of the business data; S6: Generate corresponding submission materials based on the material template and the business data corresponding to the business to be processed; specifically, the following steps are included: b1: Confirm the business scenario corresponding to the business to be processed; If the business scenario is window service acceptance, go to step b2; If the business scenario is an online service center, proceed to step b3; b2: Generate paper submission materials using the material template and the business data; b3: Submit the materials in the form of images generated by the material template and the business data; S7: Generate teaching aids corresponding to the business to be processed by integrating preset test questions, business scenario settings and relevant submission materials; S8: Conducting practical training on the pending business based on the teaching aids, specifically including the following steps: c1: Assign a unique ID to each teaching aid, record it as the teaching aid ID, and establish a correspondence between the test question ID and the teaching aid ID; Read the training terminal device information, bind the teaching aid ID and the training terminal device information; assign a unique ID to each student in the simulation training system, recorded as the student ID; The training terminal device information includes: terminal IP, MAC address and browser information; c2: Teaching aids are randomly distributed to trainees; trainees use the terminal devices corresponding to the teaching aids to log in to the simulation training system and conduct practical training; After the student logs in, the simulation training system collects the hardware information of the login terminal device, establishes a binding relationship with the student ID, and saves it in the log; c3: During the training process, log information is saved separately for each student; S9: After the business simulation training is completed, collect the relevant operation logs for assessment and evaluation; According to the teaching aid ID and the corresponding test question ID, the teaching aid and the test question are compared with various types of practical operation data included in the operation log to evaluate the practical training results of each student.

[0010] It is further characterized by: In step b2, generating paper submission materials specifically includes the following steps: b21: Print N copies of the material template to obtain a template paper material; b22: Print one copy of each of the N business data, and establish a corresponding relationship between each copy of the business data and a teaching aid ID; b23: Match each piece of the business data with one of the material templates to form a paper submission document; In step b3, generating the materials for submission in image form specifically includes the following steps: b31: Read the location information of each business data in the data dictionary; The location information of the business data is the location information corresponding to the data item in the material template; The position information includes: a coordinate origin, a coordinate offset of each pixel in the business data field, and font size information; the coordinate origin is set to the upper left corner pixel of the minimum circumscribed rectangle of the first word of the keyword corresponding to the business data; b32: Confirm the variable key data corresponding to the business to be processed, identify the location of each variable key data in the material template, and record it as: key data to be processed; b33: Find the first word in the field of the key data to be processed and determine the coordinates of the upper left corner pixel of its circumscribed rectangle, which is recorded as the reference coordinate origin; and construct a coordinate system based on the reference coordinate origin; b34: Generate the business field at the corresponding position according to the coordinate offset of each pixel point in the business data field; b35: After all business data are generated, the image submission materials are obtained, and a correspondence is established between the image submission materials and the teaching aid ID; b36: Based on the business to be processed, the teaching aid ID and the business data ID, a material name is constructed for the material submitted in the form of an image and stored; In step c2, during the training of the business to be processed, when the device simulation module is required to simulate and generate image data of the collected data, the following generation steps are specifically included: d1: Confirm the process stage of the pending business, recorded as: target stage; D2: Find all submitted materials for pending business based on the teaching aid ID, confirm the submitted materials that need to be collected at the target stage, and read the relevant fields in the system, recording them as: pending fields; d3: Retrieve the image template of the collected data corresponding to the target phase of the business to be processed from the pre-made image template library, which is recorded as the image template to be processed; The data corresponding to the fields to be processed in the collected data image template are all blank; Merging the to-be-synthesized field into the to-be-processed image template to obtain: a first edition collected data image; d4: reading the training terminal device information that proposes the simulation requirement as the terminal device unique identifier, and synthesizing the terminal device unique identifier into the bottom position of the preliminary version of the collected data image to obtain: the final version of the collected data image; The terminal device information includes: terminal IP, MAC and browser version information; d5: Extract characteristic characters from the BASE64 encoding of the final version of the collected data image using the MD5 algorithm to generate an information digest, combine it with the terminal unique identification information, and use AES symmetric encryption to form a signature verification feature string, which is recorded as the signature verification information; Uploading the final version of the collected data image and the signature verification information to the training terminal device that requested the simulation; d6: The device simulation module decrypts the signature verification information to obtain the terminal device information and information digest, which are recorded as: upload terminal device information and upload information digest; and reads the training terminal device information corresponding to the service to be processed; Comparing the uploaded terminal device information with the training terminal device information, if there is any inconsistency between the information, stopping the subsequent process and issuing an alarm; Otherwise, if the information is consistent, extract the BASE64 information digest from the received simulated image data and record it as the MD5 data to be compared. Compare the MD5 data to be compared with the uploaded information digest. If there is any inconsistency between the information, stop the subsequent process and issue an alarm; otherwise, continue the subsequent business process; In step c2, during the training of the business to be processed, when the device simulation module is required to simulate and generate image data of a special certificate, the following generation steps are specifically included: e1: confirm the type of special certificate corresponding to the business to be processed, recorded as: target certificate type; e2: Find the field in the target certificate type that needs to be reflected in the corresponding submission materials of the pending business according to the teaching aid ID, which is recorded as: field to be generated; e3: Retrieve the document image template corresponding to the target document type from the pre-made image template library, which is recorded as the image template to be generated; The data corresponding to the fields to be generated in the ID image template are all blank; Merging the to-be-generated fields into the to-be-generated image template to obtain: a first edition document image; e4: Read the device information of the terminal device that requested printing, combine it with the preset teaching logo image to form watermark information, and add it below the first edition ID image to obtain: the first edition ID image with watermark; e5: After adding an anti-printing lock to the watermarked original ID image, generate image data of the special ID in PDF format.

[0011] The present application provides a scenario-based simulation training system for traffic management business, which generates training data for training based on historical real data through an intelligent business data and teaching aid generation module, ensuring the authenticity of the training data; the scenario-based business processing simulation module simulates the interface and process of the real traffic management information system, and cooperates with the teaching aids to simulate the actual paper-based archival materials and the image materials of the business submission data to ensure that all business processes in all business scenarios can be fully covered, effectively improving the teaching quality and training effect. In this application, test questions are preset in the teaching aids, and all operations of the trainees are recorded through the bypass operation log collection module, and the data input by all trainees during the training process is obtained. By comparing the test questions and log records, the learning outcomes of each trainee can be truly judged. The education in this application is set according to the basic business, and the business combination can be carried out according to actual needs, and the trainees can be assessed and scored to meet the diversified business training and assessment requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a schematic diagram of the structure of the traffic management business scenario simulation training system in this application; Figure 2 Generate process diagrams for business data and teaching aids; Figure 3 Generate examples for image submissions; Figure 4 Generate image data flow chart for the simulation module to collect data; Figure 5 An example of the signature verification process when generating image data for the collected data for the simulation module; Figure 6 A flow chart for simulating and generating image data of a special certificate for the simulation module; Figure 7 A flow chart for assessing and evaluating the training results; Figure 8 It is a schematic diagram of the teaching aids; Figure 9 This is an example of a certificate of conformity; Figure 10 Examples of quantitative assessment and evaluation rules. DETAILED DESCRIPTION

[0013] like Figure 1 As shown, this application includes a traffic management business scenario simulation training system, which includes: Intelligent business data and teaching aids generation module, scenario-based business processing simulation module, equipment simulation module, bypass operation log collection module and assessment and evaluation module.

[0014] The intelligent data and teaching aids generation module customizes batch generation of basic business data and teaching aids for training units based on historical real data; basic business data refers to the basic information required to prepare for normal business processing during the business process, and the basic business data is stored in the system's database in the form of a data dictionary; teaching aids include: archival materials that simulate actual paper form and image materials of business submission data; during the training process, business data and teaching aids correspond one to one, and are combined according to training needs, and trainees carry out training operations according to the materials.

[0015] To enhance practical training, this application builds a data dictionary containing millions of simulated ID cards, certificates of qualification, motor vehicle registration information, driver's licenses, off-site penalty records (electronic snapshots), and accident information based on real historical data. An intelligent data and teaching aid generation module connects to these data dictionaries to generate corresponding business data and teaching aids based on the latest traffic management regulations, ensuring that practical training meets the latest requirements.

[0016] The major business types in this application include: motor vehicle registration, driver's license management, traffic penalty processing, traffic accident processing, and each business type will also be designed for a variety of specific businesses. For example, under the business type of motor vehicle registration, it includes: motor vehicle registration, transfer registration, transfer registration and other specific branch businesses; driver's license management includes: initial application for driver's license, adding permitted vehicle types, application for foreign driver's license, temporary driving permit application, change of examination location, change of permitted vehicle type, renewal of license upon expiration, acceptance of information of driving school students, electronic driver's license review and other branch businesses; traffic penalty processing includes off-site penalty processing, general procedure processing, on-site penalty processing and other branch businesses; traffic accident processing includes: simple accident collection of traffic accidents, general accident processing, simple accident suspension, accident approval, accident identification review, Internet video quick handling and responsibility determination, Internet accident quick handling and responsibility determination and other branch businesses; at this stage, a total of 81 specific branch businesses need to be carried out for simulation training.

[0017] The business scenarios in this application include: window service acceptance, examination management, file management, and online service center. Window service acceptance refers to the service acceptance services provided by various types of service windows, which accept paper submissions; the online service center refers to the online acceptance of electronic submissions; examination management refers to the management of various necessary examinations such as driver's licenses; and file management refers to various services related to motor vehicle and driver's license file data.

[0018] like Figure 8 As shown, the teaching aids include: business scenario settings, material templates, variable key data, test questions and assessment evaluation rules.

[0019] Business scenarios are set up to explain the business background of each teaching content included in the teaching aids, providing guidance for students to enter the process. Business scenarios are set up consistently for all students and are provided to students in paper or electronic form according to their actual needs. In actual business processes, each service, whether at a counter or at the online service center, requires one or more documents to be submitted. For example, when applying for a driver's license for the first time, the applicant must submit: ID card, photo, medical examination form, and other relevant documents. The specific documents required for each service are determined according to the latest regulations.

[0020] The material template is: for a specific submission material, the data fields included in the material template belong to the parts that are allowed to be the same in the teaching aids of each student; the fields of the corresponding variable key data in the material template are empty; Variable key data refers to data that is different in each student's teaching aids for a specific submitted material. In a real traffic information system, due to business logic and data management logic, each time file data is uploaded, some fields included in the file are set as verification keywords. In this application, in order to make the simulation system more consistent with the real system, these verification keywords are set as variable key data. The material template and variable key data together constitute a complete submission material.

[0021] Exam questions are pre-set test questions for students in the teaching aids. Each set of teaching aids contains a unique set of test questions. Students in the same batch of practical training assessments use different teaching aids, each with different test questions. This ensures that students in the same batch can take the exam independently.

[0022] Because the test questions in each teaching aid are set individually, independent assessment rules must be designed for each set of test questions; the assessment rules include three dimensions of assessment: completeness, accuracy and proficiency.

[0023] Because the business scenarios for receiving submitted documents in real life include window service acceptance and online service center, the types of submitted documents in this application include: paper submission materials and image submission materials; Paper submission materials are used for business simulation practice operations when the business scenario is window business acceptance, and are provided to students in paper form; Materials submitted in image format are used for business simulation practice when the business scenario is the online service center and are provided to students in electronic form; Practical training in other business scenarios does not require the use of materials submitted directly from the applicant.

[0024] In this application, both paper submission and image submission are simulated, and these submission materials are provided to students as teaching aids. In particular, paper submission materials are printed out and distributed to each student as paper teaching aids. However, because the variable key data and test questions are different for students in the same batch, the teaching materials for each student in the same batch are actually different. If a separate textbook is printed for each student, the operation efficiency is too low. Moreover, from the perspective of the various processes in the textbook distribution process, verification and other processes must also be carried out separately for each textbook, which is extremely inefficient. Therefore, it is not realistic to print textbooks separately for each person. In order to improve efficiency, all submission materials are designed in this application as a combination of material templates and variable key data. The material template part is printed uniformly, while the variable key data is printed separately, and finally manually merged into a complete set of materials. This can not only improve the efficiency of textbook production, but also ensure that the data processing in the simulation system during the teaching process conforms to the actual situation of the instructor system, so that students can have a more realistic learning environment.

[0025] Scenario-based business processing simulation module: As the student entrance module of the simulation training system of the traffic management information system, it provides students with various business process modules for training; the simulation content includes: the front-end interactive interface and back-end business logic corresponding to different business scenarios and different business types; each business process module executes the complete business according to the specified business type with the latest business logic; the scenario-based business processing simulation module uses the different business data generated by the intelligent data and teaching aids generation module according to the purpose of training, starts the corresponding business process module, and guides students into the simulated business process.

[0026] The teaching materials in this application are constructed based on each specific branch business. During the actual assessment, multiple branch businesses can be combined according to the scenarios that occur in real work to generate a complex business processing scenario. Because the scenario-based business processing simulation module is a simulation of a real traffic management information system, it can simulate any real business processing scenario to ensure that it can cover motor vehicle registration, driver's license management, traffic penalty processing, traffic accident processing and other businesses. When the screenshot is implemented, this system also sets up a simulation verification service module to verify key data such as motor vehicle certificates, imported vehicles, insurance, taxes, fugitives, drug users, and invalid ID cards.

[0027] In the actual business scenario of window business acceptance, service personnel need to collect data from the submitted materials during the business processing, and will use hardware devices such as high-definition scanners and ID card readers. In this application, the device simulation module is used to simulate hardware such as high-definition scanners and ID card readers to complete business data reading and image data collection.

[0028] The device simulation module is applied to the client computer. When various hardware devices must be used in the simulation business process processing provided by the business process module, the device simulation module is called to provide the simulation operation process and the simulation data obtained after the operation; the simulation data generated by the device simulation module includes various information image data collected in the business process and various document image data finally generated.

[0029] Specifically, the device simulation module is a software installed on the client. The device simulation module mainly includes an information collection simulation module and a document printing simulation module. The information collection simulation module simulates hardware devices such as scanners and ID card readers to read ID card information, collect image data, and other operations. The document printing simulation module includes simulating the printing and output operations of documents such as driver's licenses, vehicle registration certificates, and temporary license plates.

[0030] The device simulation module monitors student operations in real time. Students operate a scenario-based simulation system. When they need to use a high-definition scanner, ID card reader, or ID card printer, the corresponding simulation module is automatically invoked. The information collection simulation module primarily simulates data collection using devices like high-definition scanners and ID card readers. Depending on the student's chosen service, different device workflows are required. For those requiring an ID card reader simulation, the corresponding ID card number, name, and other information are retrieved from the teaching aid information database and the ID card reader is simulated to return the required information for the service.

[0031] During the simulation process, the bypass operation log collection module collects student operation data as log information for subsequent assessment and acceptance. Log information includes: login user, operator IP address, PC hardware information, operation time, business position and operation content; The operation content includes: operation behavior, input content, key assessment point data and operation time; the key assessment point data includes: data simulated and generated by the equipment simulation module.

[0032] After completing the practical training operation, the assessment and evaluation module reads and analyzes the log information stored in the bypass operation log collection module, assesses the trainees' business operations, and outputs the assessment results.

[0033] In the scenario-based business processing simulation module, for the business scenarios of window business acceptance, the computer extended screen is used to simulate the window dialogue scenario through AI digital human technology, verify the paper submission materials, and complete the corresponding business operations; for the business scenarios of online service center business, the simulation system interface of the online service center provides students with the submission materials and corresponding business information in image form on the corresponding process scenario page to complete the corresponding business operations.

[0034] The training and evaluation method implemented based on the above-mentioned traffic management business scenario simulation training system includes the following steps.

[0035] S1: Design test questions; Design exam questions for each business to be processed based on the assessment objectives. Exam questions are placed in locations including: variable key data, inherent data in material templates, business processes, and business logic. Based on the exam question design results, all exam questions are pre-placed in different locations. Create a question ID for each pre-buried question.

[0036] The exam questions designed in this application are based on actual business processing scenarios. Frequent business processing scenarios are assigned higher scores, while less frequent business processing scenarios are assigned lower scores. Questions with the same frequency of business processing scenarios are assigned the same score. This ensures that candidates using different exam questions receive questions of the same difficulty, thereby ensuring fairness in the assessment.

[0037] The test questions are set in business processing situations that occur frequently. For example, during the application process for a replacement motor vehicle driver's license, the applicant's phone number changes. At this time, the phone number in the motor vehicle registration form is still the old phone number, while the applicant fills in the new number in this application form. The clerk collected the new number during the business process, and the correct processing procedure is to actively change the phone number in the motor vehicle registration form to the new number. If the trainee only registers the phone number in the replacement registration data during the simulation training process, the assessment result of this question will lose some points. This business situation occurs frequently, and only by allowing trainees to establish connections between businesses during training can the effectiveness of the training be effectively ensured.

[0038] S2: Generate data dictionary and image database; Based on the historical business database, various types of basic business data for all businesses are extracted from the existing actual historical data, and all data are stored in text form; The data dictionary includes: business data and business data relationships. Business data relationships include: the business type corresponding to the business data, table name, corresponding keywords and location information of the business data.

[0039] The image database stores pre-created templates for submission documents, templates for materials required during the business process, and templates for the documents and materials required to be provided to applicants at the end of a business transaction in image format. The templates stored in the image database are based on real data and are stored after removing data from fields that require replacement.

[0040] S3: Confirm the business scenario corresponding to the business to be processed; If the business scenario is window service acceptance and online service center, execute step S4; Otherwise, execute step S7.

[0041] S4: For each pending business, generate a material template for the materials required for the business. The specific steps include: Read the material data corresponding to the pending business in the historical data, which is recorded as: pending material; the pending material exists in the form of pictures; Confirm the variable key data corresponding to the business to be processed; identify the variable key data in the material to be processed, remove the data fields corresponding to the variable key data of the material to be processed, and change them into blank columns to obtain a material template; store the material template in the form of an image.

[0042] S5: Generate business data, specifically including the following steps: a1: Read the number N of teaching aids in this batch, where N is a natural number greater than 1; a2: Read the key variable data corresponding to the business to be processed. After reading N copies of key variable data from the data dictionary, adjust them according to the test question design results to generate N copies of key variable data. Of course, if no test questions are set, there is no need to adjust the variable data. a3: Confirm whether each piece of data complies with the business logic and assessment requirements. If they do, obtain N pieces of business data. Assign a unique business data ID to each business data.

[0043] S6: Generate the corresponding submission materials based on the material template and business data corresponding to the business to be processed; specifically, the following steps are included: b1: Confirm the business scenario corresponding to the business to be processed; If the business scenario is window service acceptance, go to step b2; If the business scenario is an online service center, go to step b3.

[0044] b2: Generate paper submission materials using the material template and business data; In step b2, generating paper submission materials specifically includes the following steps: b21: Print N copies of the material template to obtain the template paper material; b22: Print one copy of each of the N business data and establish a corresponding relationship between each business data copy and a teaching aid ID; b23: Match each piece of business data to a material template to form a paper submission document. b3: Generate an image of the document template and business data and submit it. Specifically, generating the image of the document and submitting it includes the following steps.

[0045] b31: Read the location information of each business data in the data dictionary; The location information of the business data is the location information corresponding to the data item in the material template; The location information includes: the coordinate origin, the coordinate offset and font size information of each pixel in the business data field; the coordinate origin is set to the upper left corner pixel of the minimum circumscribed rectangle of the first word of the keyword corresponding to the business data; b32: Confirm the key data of the variables corresponding to the business to be processed, identify the location of each key data of the variables in the material template, and record it as: key data to be processed.

[0046] b33: Find the first word in the field of the key data to be processed and confirm the coordinates of the upper left corner pixel of its circumscribed rectangle, which is recorded as the reference coordinate origin; construct a coordinate system based on the reference coordinate origin.

[0047] b34: Generate the business field at the corresponding position based on the coordinate offset of each pixel point in the business data field.

[0048] b35: Loop through steps b33 and b34, construct a separate coordinate system for each key variable data, and after all business data are generated, obtain the materials submitted in image form, and establish a corresponding relationship between the materials submitted in image form and the teaching aid ID.

[0049] b36: Based on the business to be processed, teaching aid ID and business data ID, construct a material name for the material submitted in image form and store it.

[0050] The simulation system includes 81 businesses, involving 40 window items, and each business requires about 1 to 3 pages of teaching aids. The same submission material may be used in different businesses, such as transaction invoices, which are used in registration and transfer. Once the regulations on a specific submission material change, the system must also change accordingly. In this method, a material template and variable key data (corresponding to business data) are constructed separately for each submission material. The templates for each submission material are stored separately in the image data template library, and the information on the variable key data corresponding to the business data is stored in the data dictionary. In this way, if a submission material changes, you only need to update the data in the template library and the data dictionary to ensure that subsequent data production is carried out in accordance with the latest regulations, which greatly improves efficiency. For the process of generating business data and teaching aids, please refer to the attached. Figure 2 .

[0051] In this application, a coordinate system is constructed with the keyword coordinates of each variable key data in the submitted materials as the origin, and a coordinate system is constructed separately for each variable key data. The coordinate offset is stored separately for each field of the variable key data, which is more suitable for scenarios where the table is frequently adjusted. Once the business-related regulations change, the position of the variable key data field in the table may change, the text content of the variable key data may also change, and even the form of the entire table may change. Based on this method, the corresponding position information of the data item in the material template is stored. If the position of the variable key data field changes, each time the coordinate information of the coordinate origin is updated, the rest of the position information remains unchanged to achieve the update of the data, effectively reducing the efficiency of modification work when the table changes. When the table changes, or the text content of the variable key data changes, by constructing coordinates separately for each variable key data, only the storage coordinate origin and coordinate offset corresponding to the variable key data are stored in the position information, which can also more efficiently correspond to all change scenarios.

[0052] During specific implementation, an image template recognition module and a business data synthesis module are set up in the intelligent business data and teaching aid generation module to execute the image template recognition process and the business data synthesis process respectively. Image data generation includes image template recognition and business data synthesis modules. Image template recognition uses the OCR recognition component to search the X-axis and Y-axis coordinate positions of specific text labels in the image search template. According to the set coordinate offset, the coordinate position of the text to be synthesized is calculated. After the same image template is read, the recognition content is temporarily cached through REDIS and other cache technologies to improve the processing speed of batch image data. The business data synthesis module reads the coordinate position, font size and other information of the synthesized content based on the read content, and at the same time retrieves the text content that needs to be synthesized in the corresponding template. Image synthesis is performed through the image synthesis component. Multiple information synthesis is required. The above operation is repeated until the data synthesis is completed.

[0053] like Figure 9 The following is an example of a material template for a domestic vehicle certificate. The image size of the material template is 1279*1752 pixels. The material template for a domestic vehicle certificate includes 36 fields, such as: certificate number, issue date, vehicle manufacturer name, vehicle brand / vehicle name, etc. Among them, the key variable data corresponding to the domestic vehicle certificate are: certificate number, vehicle identification code, engine number, and QR code. Figure 9 The data column corresponding to the key data of the variable is empty. Figure 9The example in the example is also partially encrypted and slightly different from the actual template. Key variable data is pre-generated and stored in the data dictionary. This dictionary information includes the key information location and the offset of the corresponding field's composite coordinates (255 pixels on the X axis and 0 pixels on the Y axis), as well as the font size (size 8) set according to the field's location. The remaining 33 items of information primarily concern vehicle announcement parameters and utilize a unified template to maintain uniform assessment standards. When image data needs to be generated, Figure 3 As shown, the OCR recognition component first searches the certificate template to identify the presence of the "Certificate Number" text. The upper-left corner of the text's minimum bounding rectangle is used as the coordinate origin. The corresponding coordinate information and text size are returned based on the key information dictionary. The certificate information database is then searched to obtain the certificate code data. The certificate code is then processed using the image processing library PiIllLLowOW, based on the template's corresponding coordinate position and font size, to generate a new image with a "sample" watermark. The synthesis steps are repeated for the vehicle identification number, engine number, and two-dimensional barcode information. The QR code is generated by the QR code generation component. Finally, the data is named according to the certificate code for easy retrieval.

[0054] S7: Generate teaching aids corresponding to the business to be processed based on the preset test questions, assessment and evaluation rules, business scenario settings and related submission materials.

[0055] Among them, when generating the assessment and evaluation rules for each business, the completeness rule is to set the job requirements that need to be completed according to the business scenarios and specification requirements. The accuracy rule is to extract and determine the data items that students need to enter according to paper materials or image materials in the assessment of several business scenarios, and calculate the accuracy of the data items. The proficiency rule is based on the historical records of the time spent by students operating the corresponding business scenarios, and according to the 80% compliance principle, dynamically quantifies and generates the operation time standard. The quantitative assessment and evaluation rules in this embodiment refer to the attached drawings of the specification. Figure 10 .

[0056] S8: Conduct practical training on pending business based on teaching aids, including the following steps: c1: Assign a unique ID to each teaching aid, record it as the teaching aid ID, and establish a correspondence between the test question ID and the teaching aid ID; Read the training terminal device information, bind the teaching aid ID and the training terminal device information; assign a unique ID to each student in the simulation training system, which is recorded as the student ID; The terminal device information used for practical training includes: terminal IP, MAC address and browser information.

[0057] c2: Teaching aids are randomly distributed to trainees; trainees use the terminal devices corresponding to the teaching aids to log in to the simulation training system and conduct practical training; After students log in, the simulation training system collects the hardware information of their terminal devices, associates it with their ID, and stores it in a log. Teaching aids are distributed randomly, so individual exam questions are not known in advance, ensuring a true assessment of student learning outcomes.

[0058] During the training of the business to be processed, when the device simulation module is used to simulate and generate image data of the collected data, step c2 is executed in the device simulation module, which includes the following steps.

[0059] d1: Confirm the process stage of the pending business, recorded as: target stage; D2: Find all submitted materials for pending business based on the teaching aid ID, confirm the submitted materials that need to be collected at the target stage, and read the relevant fields in the system, recording them as: pending fields; d3: Retrieve the image template of the collected data corresponding to the target phase of the business to be processed from the pre-made image template library, which is recorded as the image template to be processed; The data corresponding to the fields to be processed in the collected data image template are all blank; Merge the fields to be synthesized into the image template to be processed to obtain: the initial version of the collected data image; After obtaining the first edition of the collected data images, in order to prevent the images from being tampered with during the transmission process and ensure the authenticity of the assessment results, such as Figure 4 As shown, the following anti-tampering steps also need to be performed.

[0060] d4: Read the training terminal device information that proposes the simulation requirement as the terminal device unique identifier, and synthesize the terminal device unique identifier into the bottom position of the initial version of the collected data image to obtain the final version of the collected data image; Terminal device information includes: terminal IP, MAC and browser version information; d5: Extract characteristic characters from the BASE64 encoding of the final version of the collected data image using the MD5 algorithm to generate an information digest. Combined with the terminal's unique identification information, this is symmetric encrypted using AES to form a signature verification feature string, which is recorded as the signature verification information. Upload the final version of the collected data image and signature verification information to the training terminal device that requested the simulation; d6: The device simulation module decrypts the signature verification information and obtains the terminal device information and information digest, which are recorded as: upload terminal device information and upload information digest respectively; reads the training terminal device information corresponding to the pending business; Compare the uploaded terminal device information with the training terminal device information. If there is any inconsistency in the information, the subsequent process will be stopped and an alarm will be issued; Otherwise, if the information is consistent, extract the BASE64 information digest from the received simulated image data and record it as the MD5 data to be compared. Compare the MD5 data to be compared with the uploaded information digest. If there is any inconsistency in the information, stop the subsequent process and issue an alarm; otherwise, continue the subsequent business process.

[0061] In step c2, during the training of the business to be processed, it is necessary to print out the corresponding business processing certificate information based on the certificate printing simulation module in the equipment simulation module, and present the image data of the special certificate as the final result to the trainees. Figure 5 As shown, the generation steps include the following: e1: confirm the type of special certificate corresponding to the business to be processed, recorded as: target certificate type; e2: Find the field in the target certificate type that needs to be reflected in the submitted documents corresponding to the pending business based on the teaching aid ID, and record it as: field to be generated; e3: Retrieve the document image template corresponding to the target document type from the pre-made image template library, which is recorded as the image template to be generated; The data corresponding to the fields to be generated in the ID image template are all blank; Merge the fields to be generated into the image template to be generated to obtain: the first edition document image; e4: Read the device information of the terminal device that requested printing, combine it with the preset teaching logo image to form watermark information, and add it below the original ID image to obtain: the original ID image with watermark; e5: After adding an anti-print lock to the original certificate image containing a watermark, the image data of the special certificate is generated in PDF format, which can effectively prevent the teaching certificate from being used illegally.

[0062] During the training of the pending business in step c2, based on actual business processing requirements, simulated data verification is performed to automatically generate verification results based on the business information. The simulated data verification covers information such as theft, population, certificates of conformity, imported vehicles, insurance, and tax information. Upon successful verification, a corresponding verification record is generated.

[0063] c3: During the training process, log information is saved separately for each student.

[0064] S9: After the business simulation training is completed, collect the relevant operation logs for assessment and evaluation; According to the teaching aid ID and the corresponding test question ID, use the teaching aid and test questions to compare with the various types of practical data included in the operation log to evaluate the training results of each student. Figure 7 shown.

[0065] After adding assessment content, select the class and business type to be assessed, and then distribute the teaching aids for the newly added assessment content to the students taking the assessment. The system will first initialize all assessment data. After initialization, students will complete the assessment content according to the teaching aids and system instructions.

[0066] Log information includes: logged-in user, operator IP address, PC hardware information, operation time, business position and operation content; operation content includes: operation behavior, input content, key assessment point data and operation time; key assessment point data includes: data generated by simulation of the equipment simulation module.

[0067] The system assesses and scores students based on the collected log information. For each exam question, the system compares the practical process and operation content recorded in the log with the corresponding assessment and evaluation rules to complete the quantitative scoring.

[0068] In this application, all data entered by students is recorded in the log information, and no verification or result judgment will be performed during the students' business simulation training. For example, in the submitted materials, the color of the motor vehicle is blue, but the student mistakenly enters it as red when entering the information. The data entered by the student will be retained in the log faithfully. During the final assessment, the data in the teaching aids is compared with the data saved in the log, and the verification result information is automatically generated.

Claims

1. A traffic management business scenario simulation training system, characterized by: It includes: Intelligent business data and teaching aid generation module, scenario-based business processing simulation module, equipment simulation module, bypass operation log collection module, and assessment and evaluation module; The intelligent data and teaching aids generation module generates basic business data and teaching aids in batches for training units based on historical real data; The basic business data refers to the basic information required to meet normal business processing requirements during the business process. The basic business data is stored in the system database in the form of a data dictionary. The teaching aids include: simulated actual paper-based archival materials and image materials of business submission data. During the practical training, the business data and teaching aids are matched one-to-one and combined according to training requirements. Trainees carry out practical training operations according to the materials. The scenario-based business processing simulation module: as the student entrance module of the simulation training system of the traffic management information system, it provides students with various business process modules for practical training; the simulation content includes: the front-end interactive interface and back-end business logic corresponding to different business scenarios and different business types; each business process module executes a complete business according to the specified business type and the latest business logic; the scenario-based business processing simulation module uses the different business data generated by the intelligent data and teaching aid generation module according to the training purpose to start the corresponding business process module and guide students into the simulated business process; The business scenarios include: window business acceptance, examination management, file management and online service center; The device simulation module is applied to the client computer. When various hardware devices are required in the process of simulating the business process provided by the business process module, the device simulation module is called to provide the simulation operation process and the simulation data obtained after the operation. The simulation data generated by the device simulation module includes various document image data collected in the business process and various document image data generated in the end. The bypass operation log collection module collects student operation data as log information for subsequent assessment and acceptance during the simulation business process processing; After completing the practical training operation, the assessment and evaluation module reads and analyzes the log information stored in the bypass operation log collection module, assesses the trainee's business operation, and outputs the assessment results.

2. A traffic management business scenario simulation training system according to claim 1, characterized in that: The teaching aids include: business scenario settings, material templates, key variable data, test questions, and assessment and evaluation rules; The business scenarios are set up to explain the business handling background of each teaching content included in the teaching aids, providing guidance for students to enter the process; the business scenarios are set up consistently for all students and are provided to students in paper or electronic form according to their actual needs; In the actual business process, the business scenarios are window business acceptance and online business center. Each business needs to be submitted with one or more documents. The material template is: for a specific submitted material, the data fields included in the material template belong to the parts that are allowed to be the same in the teaching aids of each student; the fields of the corresponding variable key data in the material template are empty; The variable key data is: for a specific type of submitted material, data that is different in each student's teaching aids; The material template and the variable key data together constitute a complete submission material; The test questions are assessment questions for students preset in the teaching aids. Each set of teaching aids includes a unique set of test questions. Students in the same group participating in the practical training assessment use different teaching aids, and each set of teaching aids has different assessment questions. Because the test questions in each teaching aid are set individually, assessment and evaluation rules must be designed independently for each set of test questions; the assessment and evaluation rules include three dimensions of assessment: business completeness, collection accuracy, and operation timeliness.

3. The traffic management business scenario simulation training system according to claim 2 is characterized by: The types of submitted materials include: paper submission materials and image submission materials; The paper submission materials are used for business simulation practice when the business scenario is window business acceptance, and are provided to students in paper form; The materials submitted in image form are used for business simulation practice when the business scenario is the online service center, and are provided to students in electronic form; No submission materials are required for other business scenarios.

4. The traffic management business scenario simulation training system according to claim 1 is characterized by: In the scenario-based business processing simulation module, for the business scenario of window business acceptance, the computer extended screen is used to simulate the window dialogue scenario through AI digital human technology, verify the paper submission materials, and complete the corresponding business operations; for the business scenario of the online service center business, the simulation system interface of the online service center provides students with the submission materials and corresponding business information in image form on the corresponding process scenario page to complete the corresponding business operations.

5. The traffic management business scenario simulation training system according to claim 1 is characterized by: The log information includes: login user, operator IP address, PC hardware information, operation time, business position and operation content; The operation content includes: operation behavior, input content, key assessment point data and operation time; the key assessment point data includes: data simulated and generated by the equipment simulation module.

6. A scenario-based simulation training and evaluation method for traffic management business, characterized by: It includes the following steps: S1: Design test questions; Design test questions for each business to be processed based on the assessment objectives; The test questions are set in different locations including variable key data, inherent data in the material template, business process and business logic; all test questions are pre-embedded in different locations according to the test question design results; Create a question ID for each pre-buried question; S2: Generate data dictionary and image database; Based on the historical business database, various types of basic business data for all businesses are extracted from the existing actual historical data, and all data are stored in text form; The data dictionary includes: business data and business data relationships, wherein the business data relationships include: the business type corresponding to the business data, the table name, the corresponding keyword and the location information of the business data; The image database stores, in image format, templates for pre-made submission materials, templates for materials that need to be collected during the business process, and templates for certificates and materials that need to be provided to the applicant at the end of the business; S3: Confirm the business scenario corresponding to the business to be processed; If the business scenario is window service acceptance and online service center, execute step S4; Otherwise, execute step S7; S4: For each pending business, generate a material template for the materials required for the business. The specific steps include: Read the material data corresponding to the pending business in the historical data, which is recorded as: pending material; the pending material exists in the form of pictures; Confirming the variable key data corresponding to the business to be processed; identifying the variable key data in the material to be processed, removing the data fields corresponding to the variable key data corresponding to the material to be processed, and turning them into blank columns to obtain the material template; storing the material template in the form of an image; S5: Generate business data, specifically including the following steps: a1: Read the number N of teaching aids in this batch, where N is a natural number greater than 1; a2: Read the key variable data corresponding to the business to be processed. After reading N copies of key variable data from the data dictionary, adjust it according to the test question design results to generate N copies of key variable data. a3: Confirm whether each piece of data complies with the business logic and assessment requirements. If they do, obtain N pieces of business data. Assigning a unique business data ID to each of the business data; S6: Generate corresponding submission materials based on the material template and the business data corresponding to the business to be processed; specifically, the following steps are included: b1: Confirm the business scenario corresponding to the business to be processed; If the business scenario is window service acceptance, go to step b2; If the business scenario is an online service center, proceed to step b3; b2: Generate paper submission materials using the material template and the business data; b3: Submit the materials in the form of images generated by the material template and the business data; S7: Generate teaching aids corresponding to the business to be processed by integrating preset test questions, business scenario settings and relevant submission materials; S8: Conducting practical training on the pending business based on the teaching aids, specifically including the following steps: c1: Assign a unique ID to each teaching aid, record it as the teaching aid ID, and establish a correspondence between the test question ID and the teaching aid ID; Read the training terminal device information, bind the teaching aid ID and the training terminal device information; assign a unique ID to each student in the simulation training system, recorded as the student ID; The training terminal device information includes: terminal IP, MAC address and browser information; c2: Teaching aids are randomly distributed to trainees; trainees use the terminal devices corresponding to the teaching aids to log in to the simulation training system and conduct practical training; After the student logs in, the simulation training system collects the hardware information of the login terminal device, establishes a binding relationship with the student ID, and saves it in the log; c3: During the training process, log information is saved separately for each student; S9: After the business simulation training is completed, collect the relevant operation logs for assessment and evaluation; According to the teaching aid ID and the corresponding test question ID, the teaching aid and the test question are compared with various types of practical operation data included in the operation log to evaluate the practical training results of each student.

7. The traffic management business scenario simulation training and evaluation method according to claim 6 is characterized by: In step b2, generating paper submission materials specifically includes the following steps: b21: Print N copies of the material template to obtain a template paper material; b22: Print one copy of each of the N business data, and establish a corresponding relationship between each copy of the business data and a teaching aid ID; b23: Match each piece of the business data with one of the material templates to form a paper submission document.

8. The traffic management business scenario simulation training and evaluation method according to claim 6 is characterized by: In step b3, generating the materials for submission in image form specifically includes the following steps: b31: Read the location information of each business data in the data dictionary; The location information of the business data is the location information corresponding to the data item in the material template; The position information includes: a coordinate origin, a coordinate offset of each pixel in the business data field, and font size information; the coordinate origin is set to the upper left corner pixel of the minimum circumscribed rectangle of the first word of the keyword corresponding to the business data; b32: Confirm the variable key data corresponding to the business to be processed, identify the location of each variable key data in the material template, and record it as: key data to be processed; b33: Find the first word in the field of the key data to be processed and determine the coordinates of the upper left corner pixel of its circumscribed rectangle, which is recorded as the reference coordinate origin; and construct a coordinate system based on the reference coordinate origin; b34: Generate the business field at the corresponding position according to the coordinate offset of each pixel point in the business data field; b35: After all business data are generated, the image submission materials are obtained, and a correspondence is established between the image submission materials and the teaching aid ID; b36: Based on the business to be processed, the teaching aid ID and the business data ID, a material name is constructed for the material submitted in the form of an image and stored.

9. The traffic management business scenario simulation training and evaluation method according to claim 6, characterized in that: In step c2, during the training of the business to be processed, when the device simulation module is required to simulate and generate image data of the collected data, the following generation steps are specifically included: d1: Confirm the process stage of the pending business, recorded as: target stage; D2: Find all submitted materials for pending business based on the teaching aid ID, confirm the submitted materials that need to be collected at the target stage, and read the relevant fields in the system, recording them as: pending fields; d3: Retrieve the image template of the collected data corresponding to the target phase of the business to be processed from the pre-made image template library, which is recorded as the image template to be processed; The data corresponding to the fields to be processed in the collected data image template are all blank; Merging the to-be-synthesized field into the to-be-processed image template to obtain: a first edition collected data image; d4: reading the training terminal device information that proposes the simulation requirement as the terminal device unique identifier, and synthesizing the terminal device unique identifier into the bottom position of the preliminary version of the collected data image to obtain: the final version of the collected data image; The terminal device information includes: terminal IP, MAC and browser version information; d5: Extract characteristic characters from the BASE64 encoding of the final version of the collected data image using the MD5 algorithm to generate an information digest, combine it with the terminal unique identification information, and use AES symmetric encryption to form a signature verification feature string, which is recorded as the signature verification information; Uploading the final version of the collected data image and the signature verification information to the training terminal device that requested the simulation; d6: The device simulation module decrypts the signature verification information to obtain the terminal device information and information digest, which are recorded as: upload terminal device information and upload information digest; and reads the training terminal device information corresponding to the service to be processed; Comparing the uploaded terminal device information with the training terminal device information, if there is any inconsistency between the information, stopping the subsequent process and issuing an alarm; Otherwise, if the information is consistent, extract the BASE64 information digest from the received simulated image data and record it as the MD5 data to be compared. The MD5 data to be compared is compared with the uploaded information digest. If there is any inconsistency in the information, the subsequent process is stopped and an alarm is issued; otherwise, the subsequent business process continues.

10. The traffic management business scenario simulation training and evaluation method according to claim 6, characterized in that: In step c2, during the training of the business to be processed, when the device simulation module is required to simulate and generate image data of a special certificate, the following generation steps are specifically included: e1: confirm the type of special certificate corresponding to the business to be processed, recorded as: target certificate type; e2: Find the field in the target certificate type that needs to be reflected in the corresponding submission materials of the pending business according to the teaching aid ID, which is recorded as: field to be generated; e3: Retrieve the document image template corresponding to the target document type from the pre-made image template library, which is recorded as the image template to be generated; The data corresponding to the fields to be generated in the ID image template are all blank; Merging the to-be-generated fields into the to-be-generated image template to obtain: a first edition document image; e4: Read the device information of the terminal device that requested printing, combine it with the preset teaching logo image to form watermark information, and add it below the first edition ID image to obtain: the first edition ID image with watermark; e5: After adding an anti-printing lock to the watermarked original ID image, generate image data of the special ID in PDF format.

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