Service data security access system, method and equipment applying third-party large model

Abstract

The invention relates to a business data security access system, method and equipment applying a third-party large model, and relates to the field of traffic management security. According to the business data security access system and method applying the third-party large model, technical isolation between the business data and the third-party public cloud large model is realized based on an intelligent client control carrier, the problem of leakage of the business data and personal information in the process of developing intelligent services is solved, and the business data security access efficiency is improved. The intelligent application of the third-party public cloud large model in the public security government affair service field is realized.

Description

Technical Field

[0001] The present invention relates to the field of traffic management safety technology, and in particular to a business data security access system, method and device using a third-party large model. Background Art

[0002] With the rapid development of information technology, the public security traffic management government service is undergoing a comprehensive transformation from informatization to digitalization and intelligence. This transformation not only improves the efficiency of government affairs processing, but also significantly improves the people's experience of doing things. However, traffic management business has the characteristics of low frequency and rigid demand, that is, most people do not often contact these businesses, so they are often not familiar with the business handling process. This leads to the public security traffic management department needing to invest a lot of time and resources to answer various consultation questions from the public. In order to meet this challenge, the application of advanced artificial intelligence technologies such as large models and the establishment of an online smart service window for public security traffic management has become an important means to enhance the online service guidance capabilities of traffic management. This smart service window can automatically answer common questions in an intelligent way and guide users to complete complex business processes, thereby greatly reducing the pressure of manual consultation and improving service quality and efficiency.

[0003] Although private deployment and training of public security traffic management government service big models can provide highly customized solutions, their high cost and technical difficulty make many local departments reluctant to do so. In contrast, using the big model capabilities provided by third-party public clouds has obvious advantages such as controllable costs and quick results. Public cloud platforms usually have powerful computing power and mature technical support, which can quickly deploy and optimize big models to achieve a high service level in a short time. However, the current information security protection situation is complex and severe, especially when it comes to the sensitivity of traffic management business data and personal information. In order to effectively avoid the risk of data leakage and ensure the secure access to business data, it is particularly urgent to study and propose an efficient and reliable data security access method. This method not only needs to ensure the security of data during transmission and storage, but also needs to achieve fine management and access control of data without affecting the user experience. Summary of the invention

[0004] The purpose of the present invention is to provide a business data security access system, method and equipment using a third-party big model to solve the problem that related technologies cannot effectively protect the security of business data and personal information during deep integration and interaction with third-party systems.

[0005] To achieve the above object, the technical solution adopted by the present invention is: In a first aspect, the present invention provides a business data security access system using a third-party big model, the system comprising: Business system, which is used to provide user login authentication and business data query interface; Third-party public cloud big models, which are used to provide big-model-based intent recognition, knowledge retrieval, and reasoning capabilities for government services; Government service client, which is the carrier for users to use government services; and An intelligent client control, which is embedded in the government service client and is used to link the business system and the third-party public cloud big model; Among them, the business system and the third-party public cloud big model are only connected to the intelligent client control for communication, so as to achieve the safe isolation of business data during the application of the third-party public cloud big model.

[0006] In a possible implementation, the smart client control includes: An interactive display module, which is used to receive user questions, display the reasoning results of the third-party public cloud big model, and respond to user operation events; A logic processing module, which is used to organize and process question guide words, analyze knowledge question and answer results, and process record data query intentions; and A service integration module is used to integrate the business system and the third-party public cloud big model, manage sessions and access tokens, and implement data communication requests and analysis.

[0007] In a second aspect, the present invention provides a method for securely accessing business data using a third-party big model, the method being applied to any of the above-described systems for securely accessing business data using a third-party big model, the method comprising: Obtain user questions and user personalized tag information; Sending the user question and user personalized tag information to a third-party public cloud big model through an intelligent client control; Based on the third-party public cloud big model, the data query intention is identified in combination with the user's question and the user's personalized tag information, and the question and answer results are generated by reasoning, and fed back to the smart client control; The question-and-answer results and data query intentions are parsed through the intelligent client control, and a business data query request is initiated to the business system based on user needs.

[0008] In a possible implementation, obtaining the user question and the user personalized tag information includes: Based on the user session, the intelligent client obtains user questions and user personalized tag information from the business system; The user personalized tag information does not include the user's personal identity information.

[0009] In a possible implementation, the parsing of the question-and-answer result and the data query intention by the smart client control and initiating a business data query request to the business system based on user needs includes: Parsing the question-and-answer results and data query intentions through the smart client control, and translating the data query intentions into user-readable operation events, and displaying the question-and-answer results and operation events to the user; In response to a user actively triggering an operation event, the smart client control sends a data query request to the business system.

[0010] In a possible implementation, the user personalized tag information includes at least: user location, user age, user vehicle status, user driver's license status, number of user's pending violation records, user's permitted vehicle type, and user driver's license score.

[0011] In a possible implementation, the data query intention at least includes: Business processing intention, which is used to indicate that a specific business function jump entry needs to be provided; Offline branch query intent, which is used to indicate the list of branches that need to provide services and the detailed entrance; Process query intention, which is used to indicate the need to provide personalized business function processes and required material entry; Basic data query intent, which is used to indicate that a basic data query entry for motor vehicles, driver's licenses, and traffic violations is required; and Opinion manual feedback intention, which is used to indicate that a manual reply is required to handle the feedback entry.

[0012] In a possible implementation, in the process of parsing the question-and-answer result and the data query intention by the smart client control, and initiating a business data query request to the business system based on user needs: The request is only initiated based on the current logged-in user session, and only the information related to the current user is fed back.

[0013] In a possible implementation, based on the third-party public cloud big model, the data query intention is identified in combination with the user's question and the user's personalized tag information, and the question and answer results are generated by reasoning and fed back to the process of the smart client control: The third-party public cloud big model identifies the preset data query intention type through semantic analysis and model reasoning based on the user's question and user personalized tag information.

[0014] In a third aspect, the present invention provides a computer device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the processor can load and execute at least one instruction, at least one program, a code set or an instruction set to implement the method for secure access to business data of a third-party large model as provided above.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set. The processor can load and execute at least one instruction, at least one program, code set or instruction set to implement the method for secure access to business data using a third-party big model as provided above.

[0016] In a fifth aspect, the present invention provides a computer program product or a computer program, the computer program product or the computer program comprising computer program instructions, the computer program instructions being stored in a computer-readable storage medium. The processor reads the computer instructions from the computer-readable storage medium and executes the computer instructions, so that the computer device executes the business data security access method using the third-party big model provided above.

[0017] The beneficial effects brought about by the technical solution provided by the present invention include at least: The business data security access system and method using a third-party big model provided by the present invention realizes the technical isolation between business data and the third-party public cloud big model based on the intelligent client control carrier, solves the problem of leakage of business data and personal information in the process of providing intelligent services, and realizes the intelligent application of the third-party public cloud big model in the field of public security and government services. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0019] Figure 1 A connection diagram of a business data security access system using a third-party large model provided by an exemplary embodiment of the present invention is shown.

[0020] Figure 2 A schematic diagram of the structure of an intelligent client control of a business data security access system using a third-party large model provided by an exemplary embodiment of the present invention is shown.

[0021] Figure 3 A flowchart of a method for securely accessing business data using a third-party large model provided by an exemplary embodiment of the present invention is shown.

[0022] Figure 4 A question-and-answer loading flow chart based on user personalized tag information of a method for securely accessing business data using a third-party big model provided by an exemplary embodiment of the present invention is shown.

[0023] Figure 5 A loading flow chart for identifying data query intentions of a method for securely accessing business data using a third-party big model provided by an exemplary embodiment of the present invention is shown.

[0024] Figure 6 A schematic diagram of the structure of a computer device for executing a method for securely accessing business data using a third-party large model provided by an exemplary embodiment of the present invention is shown. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0027] Figure 1 A connection diagram of a business data security access system using a third-party large model provided by an exemplary embodiment of the present invention is shown. The business data security access system using a third-party large model includes: The business system is used to provide user login authentication and business data query interface; among them, the user login authentication service is responsible for authenticating the identity of users who use government services, and the business data interface is provided to the exchange government service client for access after the user logs in, and only feedback is given to the business data information that matches the current user identity.

[0028] Third-party public cloud big models, which are used to provide big-model-based intent recognition, knowledge retrieval, and reasoning capabilities for government services; Government service clients, which are the carriers for users to use government services, can be in various forms such as APP, mini-programs, H5 pages, etc.; and The intelligent client control is embedded in the government service client and is used to link the business system and the third-party public cloud big model. During services such as intelligent question and answer, sensitive data operations such as user personalized tag information loading and business data query are all completed by this control agent. It is the core component for isolating third-party public cloud big model data requests and protecting business data.

[0029] It can be understood that secure access to business data relies on smart client controls, and the business system and the third-party public cloud big model only communicate and connect with the smart client controls to achieve secure isolation of business data during the application of the third-party public cloud big model.

[0030] In an embodiment of the present application, the smart client control runs in the government service client and relies on the user login authentication session environment to achieve trusted communication with the business system. The smart client control is triggered autonomously by the user and does not actively initiate data query operations.

[0031] Figure 2 A schematic diagram of the structure of a smart client control of a business data security access system using a third-party big model provided by an exemplary embodiment of the present invention is shown. The smart client control includes: An interactive display module, which is used to receive user questions, display the reasoning results of the third-party public cloud large model, and respond to user operation events; A logic processing module, which is used to organize and process question guide words, analyze knowledge question and answer results, and process record data query intentions; and The service integration module is used to integrate business systems and third-party public cloud big models, manage sessions and access tokens, and implement data communication requests and parsing.

[0032] In the embodiment of the present application, the interactive display module provides users with operation interfaces such as intelligent question and answer, guidance services, etc., including user intelligent question and answer information collection, intelligent question and answer result rendering and event jump capabilities in question and answer results. The event jump capability corresponds to the business data query intent identified by the third-party public cloud big model, and provides users with personalized data query events. Users can choose to click to trigger events through the interactive display module. The events supported by the interactive display module include: Business handling events, click to jump to the business handling function; To view events at offline outlets, click to jump to the outlet information interface; View events in the business process and click to jump to the business process details interface; Information query events: according to the user's specific intention, click to jump to view the information of motor vehicles, driver's license or traffic violations; Manual feedback event, click to jump to the manual feedback link entrance.

[0033] It is worth mentioning that the interactive display module supports multiple operating environments such as APP, mini-programs, and H5.

[0034] In the embodiment of the present application, the logic processing module is the core component of the intelligent client control connecting the business system and the third-party public cloud big model, which specifically includes the following functions: Drive the service integration module to synchronize user personalized tag information and authorization tokens to the business system; Obtain the user's intelligent question and answer guide words, assemble the user's personalized tag information, drive the service integration module, and initiate an intelligent question and answer request to the third-party large model service; Analyze the intelligent question-answering reasoning results, drive the exchange display module to display the question-answering results, and provide data query event drive; Capture user operation events, drive the service integration module, and initiate data query requests to the business system; In the embodiment of the present application, the service integration module is used to integrate the communication protocol of the business system and the third-party public cloud big model, manage sessions and access tokens, and implement network data communication. The smart client control communicates with the business system based on user sessions, and the smart client control communicates with the third-party public cloud big model based on authorization tokens to ensure data access security. The authorization token is dynamically issued to the business system by the third-party public cloud big model.

[0035] Figure 3 A flowchart of a method for securely accessing business data using a third-party large model provided by an exemplary embodiment of the present invention is shown. Figure 4 A flowchart of question-answer loading based on user personalized tag information of a method for securely accessing business data using a third-party big model provided by an exemplary embodiment of the present invention is shown. Figure 5 A loading flow chart of identifying data query intention of a method for secure access to business data using a third-party big model provided by an exemplary embodiment of the present invention is shown. The method is applied to the secure access to business data using a third-party big model as described above. The method is applied to the intelligent government service scenario. The method specifically includes the following steps: Step 301, obtaining user questions and user personalized tag information.

[0036] In an embodiment of the present application, the intelligent client obtains user questions and user personalized tag information from the business system based on the user session; wherein the user personalized tag information does not include the user's personal identity information, and the third-party public cloud big model does not participate in the process of obtaining the user personalized tag information.

[0037] In an embodiment of the present application, the user's personalized tag information includes at least: the user's location, the user's age, the user's vehicle status, the user's driver's license status, the number of user's pending violation records, the user's permitted vehicle type, and the user's driver's license score.

[0038] Step 302: Send the user's question and the user's personalized tag information to the third-party public cloud big model through the smart client control, so as to realize the big model's accurate intention recognition and reasoning based on the user's personalized tag information; In a specific implementation process, the user should first log in to the business system, complete identity authentication, and then establish a session between the government service client and the business system; in the session state, the user initiates an intelligent dialogue through the smart client control, and the smart client control requests the business system to load the user's personalized tag information and call the access token of the third-party public cloud big model; the business system obtains the access token through the third-party public cloud big model authorization and authentication interface, and returns it to the smart client control together with the user's personalized tag information; the smart client control submits an intelligent question and answer request to the third-party public cloud big model based on the question guide words and the user's personalized tag information; the third-party public cloud big model authenticates the access token and accepts the question and answer request.

[0039] Step 303, based on the third-party public cloud big model, combined with the user's question and the user's personalized tag information, the data query intention is identified, the question and answer results are generated by reasoning, and fed back to the smart client control, without directly requesting the business system to implement the data query.

[0040] In the embodiment of the present application, the data query intention includes at least: business processing intention, which is used to indicate that a specific business function jump entrance needs to be provided; offline branch query intention, which is used to indicate that a service branch list and a detail entrance need to be provided; processing flow query intention, which is used to indicate that a personalized business function flow and a required material entrance need to be provided; basic data query intention, which is used to indicate that a motor vehicle, driver's license, and traffic violation basic data query entrance needs to be provided; and manual feedback intention, which is used to indicate that a manual reply and handling feedback entrance needs to be provided.

[0041] In an embodiment of the present application, based on a third-party public cloud big model, data query intent is identified in combination with user questions and user personalized tag information, question and answer results are generated by reasoning, and feedback is given to the intelligent client control process: the third-party public cloud big model identifies preset data query intent types based on user questions and user personalized tag information through semantic analysis and model reasoning, without being aware of the identity information of the current questioning user and without relying on the business system data interface.

[0042] Step 304: parse the question and answer results and data query intention through the intelligent client control, and initiate a business data query request to the business system based on user needs.

[0043] In an embodiment of the present application, the question and answer results and data query intentions are parsed by an intelligent client control, and the data query intentions are translated into user-readable operation events, and the question and answer results and operation events are displayed to the user; in response to the user actively triggering an operation event, the intelligent client control sends a data query request to the business system to enhance the question and answer guidance effect.

[0044] In the embodiment of the present application, the intelligent client control analyzes the question and answer results and data query intentions, and initiates a business data query request to the business system based on user needs: the request is initiated only based on the current logged-in user session, and only the current user-related information is fed back. Among them, data communication only occurs between the intelligent client control and the business system, and has nothing to do with the third-party public cloud model.

[0045] In a specific implementation process, after receiving the inference result, the smart client control parses the question and answer results and data query intent; if the inference result does not contain data query intent, the answer result is directly rendered to the user; if the inference result contains data query intent, the query intent is converted into an operation event that the user can understand, and the actionable event is displayed under the user's question and answer result; if the user actively triggers the operation event, the smart client control initiates a data query request to the business system based on the user session and jumps to the specific function and page. Among them, the business data query is initiated by the user and completed between the smart client control and the business system. The third-party public cloud big model does not participate in the data query, parsing, and rendering process, and the smart client control does not actively initiate the query.

[0046] To sum up, the business data security access system and method using a third-party big model provided by the present invention realizes the technical isolation between business data and the third-party public cloud big model based on the intelligent client control carrier, solves the problem of leakage of business data and personal information in the process of providing intelligent services, and realizes the intelligent application of the third-party public cloud big model in the field of public security and government services.

[0047] Figure 6 A schematic diagram of the structure of a computer device for executing a method for securely accessing business data using a third-party large model provided by an exemplary embodiment of the present invention is shown. The computer device includes: The processor 601 includes one or more processing cores. The processor 601 executes various functional applications and data processing by running software programs and modules.

[0048] The receiver 602 and the transmitter 603 can be implemented as a communication component, and the communication component can be a communication chip. Optionally, the communication component can be implemented to include a signal transmission function. That is, the transmitter 603 can be used to transmit a control signal to the image acquisition device and the scanning device, and the receiver 602 can be used to receive the corresponding feedback instruction.

[0049] The memory 604 is connected to the processor 601 via a bus 605 .

[0050] The memory 604 may be used to store at least one instruction, and the processor 601 may be used to execute the at least one instruction to implement each step in the above method embodiment.

[0051] An embodiment of the present invention also provides a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set, which is loaded and executed by a processor to implement the above-mentioned method for securely accessing business data using a third-party large model.

[0052] The present invention also provides a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of a computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the business data security access method using a third-party large model described in any of the above embodiments.

[0053] Optionally, the computer readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a solid state drive (SSD), or an optical disk. Among them, the random access memory may include a resistance random access memory (ReRAM) and a dynamic random access memory (DRAM). The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0054] It should be understood that the specific examples herein are only intended to help those skilled in the art to better understand the present disclosure, rather than to limit the scope of the present invention.

[0055] It is understood that in the various implementations of this specification, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the present disclosure.

[0056] It can be understood that the various implementation modes described in this specification can be implemented individually or in combination, and the present disclosure is not limited to this.

[0057] Unless otherwise stated, all technical and scientific terms used in this disclosure have the same meaning as those generally understood by those skilled in the art of the technical field of this specification. The terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the scope of this specification. The term "and / or" used in this specification includes any and all combinations of one or more related listed items. The singular forms of "a", "above", and "the" used in this disclosure and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0058] It can be understood that the processor of the present disclosure can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method implementation method can be completed by the hardware integrated logic circuit or software instructions in the processor. The above processor can be a general processor, a digital signal processor (DigitalSignalProcessor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the present disclosure can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the present disclosure can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor can be combined to perform. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0059] It is understood that the memory in the present disclosure may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (programmable ROM, PROM), an erasable programmable read-only memory (erasable PROM, EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory may be a random access memory (RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0060] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this specification.

[0061] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method implementation methods and will not be repeated here.

[0062] In the several embodiments provided in this specification, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device implementation described above is only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0063] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0064] In addition, each functional unit in each embodiment of the present specification may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0065] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this specification, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of this specification. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0066] The above is only a specific implementation of this specification, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in this specification, which should be included in the protection scope of this specification. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A business data security access system using a third-party large model, characterized in that: The system comprises: Business system, which is used to provide user login authentication and business data query interface; Third-party public cloud big models, which are used to provide big-model-based intent recognition, knowledge retrieval, and reasoning capabilities for government services; Government service client, which is the carrier for users to use government services; and An intelligent client control, which is embedded in the government service client and is used to link the business system and the third-party public cloud big model; Among them, the business system and the third-party public cloud big model are only connected to the intelligent client control for communication, so as to achieve the safe isolation of business data during the application of the third-party public cloud big model.

2. The system and method for secure access to business data using a third-party big model according to claim 1, characterized in that: The smart client control includes: An interactive display module, which is used to receive user questions, display the reasoning results of the third-party public cloud big model, and respond to user operation events; A logic processing module, which is used to organize and process question guide words, analyze knowledge question and answer results, and process record data query intentions; and A service integration module is used to integrate the business system and the third-party public cloud big model, manage sessions and access tokens, and implement data communication requests and analysis.

3. A method for secure access to business data using a third-party big model, the method being applied to a system for secure access to business data using a third-party big model as claimed in any one of claims 1 to 2, characterized in that: The method comprises: Obtain user questions and user personalized tag information; Sending the user question and user personalized tag information to a third-party public cloud big model through an intelligent client control; Based on the third-party public cloud big model, the data query intention is identified in combination with the user's question and the user's personalized tag information, and the question and answer results are generated by reasoning, and fed back to the smart client control; The question-and-answer results and data query intentions are parsed through the intelligent client control, and a business data query request is initiated to the business system based on user needs.

4. The method for securely accessing business data using a third-party big model according to claim 3 is characterized in that: The obtaining of user questions and user personalized tag information includes: Based on the user session, the intelligent client obtains user questions and user personalized tag information from the business system; The user personalized tag information does not include the user's personal identity information.

5. The method for securely accessing business data using a third-party big model according to claim 3 is characterized in that: The step of parsing the question-answer result and the data query intention by the smart client control and initiating a business data query request to the business system based on user needs includes: Parsing the question-and-answer results and data query intentions through the smart client control, and translating the data query intentions into user-readable operation events, and displaying the question-and-answer results and operation events to the user; In response to a user actively triggering an operation event, the smart client control sends a data query request to the business system.

6. The method for securely accessing business data using a third-party big model according to claim 3 is characterized in that: The user personalized tag information includes at least: user location, user age, user vehicle status, user driver's license status, number of user's pending violation records, user's permitted vehicle type, and user's driver's license score.

7. The method for securely accessing business data using a third-party big model according to claim 3 is characterized in that: The data query intention at least includes: Business processing intention, which is used to indicate that a specific business function jump entry needs to be provided; Offline branch query intent, which is used to indicate the list of branches that need to provide services and the detailed entrance; Process query intention, which is used to indicate the need to provide personalized business function processes and required material entry; Basic data query intent, which is used to indicate that a basic data query entry for motor vehicles, driver's licenses, and traffic violations is required; and Opinion manual feedback intention, which is used to indicate that a manual reply is required to handle the feedback entry.

8. The method for securely accessing business data using a third-party big model according to claim 3 is characterized in that: In the process of parsing the question-answer result and data query intention by the intelligent client control, and initiating a business data query request to the business system based on user needs: The request is only initiated based on the current logged-in user session, and only the information related to the current user is fed back.

9. The method for securely accessing business data using a third-party big model according to claim 3 is characterized in that: Based on the third-party public cloud big model, the data query intention is identified in combination with the user's question and the user's personalized tag information, and the question and answer results are generated by reasoning, and fed back to the process of the smart client control: The third-party public cloud big model identifies the preset data query intention type through semantic analysis and model reasoning based on the user's question and user personalized tag information.

10. A computer device, characterized in that: The computer device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the method for securely accessing business data using a third-party large model as described in any one of claims 3 to 9.

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