Intelligent checking method, device and equipment for communication service package and storage medium

Abstract

The invention provides a communication service package intelligent checking method and device, equipment and a storage medium. The method comprises the following steps: receiving reported service package data; in response to the fact that the intelligent analysis request for the service package data passes examination and approval, performing intelligent analysis on description content of the service package data by using a large language model to generate structured service package rule data; carrying out comparison verification on the service package rule data and the service package data; if the verification is passed, uploading the service package data; if verification is not passed, a verification work order is generated and returned, and the verification work order is used for indicating a reporter to modify the service package data and then report the service package data again. According to the method provided by the invention, the data processing efficiency and accuracy of the communication service package can be improved.

Description

Technical Field

[0001] The present application relates to the field of data processing, and specifically, to a method, device, equipment and storage medium for intelligent verification of communication service packages. Background Art

[0002] In the mobile communications industry, with the rapid development of business, the amount of communication service package data reported is increasing. However, these reported data are often non-standard and incomplete, and mainly rely on operators to manually review and approve information such as service package descriptions. This manual review method leads to a large workload, low efficiency and prone to human errors. The specific process includes external systems or reporters submitting data through the reporting module, and the approval module manually verifies it after receiving it. Qualified data is uploaded to the business module, and unqualified data is sent back for re-reporting. Faced with the growing amount of data, traditional review methods can no longer meet the needs of efficient and accurate processing. A more intelligent and automated solution is urgently needed to improve the quality and efficiency of data reporting.

[0003] Therefore, the present application provides a method, device, equipment and storage medium for intelligent verification of communication service packages to solve one of the above-mentioned technical problems. Summary of the invention

[0004] The purpose of this application is to provide a method, device, equipment and storage medium for intelligent verification of communication service packages, which can solve at least one of the technical problems mentioned above. The specific solution is as follows: According to a specific implementation of the present application, in a first aspect, the present application provides a communication service package intelligent verification method, including: Receive reported business package data; in response to approval of an intelligent analysis request for the business package data, use a large language model to intelligently analyze the description content of the business package data to generate structured business package rule data; compare and verify the business package rule data with the business package data; if the verification passes, upload the business package data; if the verification fails, generate and return a verification work order, wherein the verification work order is used to instruct the reporter to modify the business package data and re-report it.

[0005] In one implementation, the method further includes: importing a communication service knowledge document, wherein the communication service knowledge document is used to provide an external knowledge source for the large language model.

[0006] In one embodiment, the use of a large language model to intelligently analyze the description content of the business package data to generate structured business package rule data includes: using a communication service workflow to perform task decomposition on the description content of the business package data; and using a large language model to intelligently analyze the decomposed description content to generate structured business package rule data.

[0007] In one embodiment, the method further includes: monitoring the interface call status during the intelligent analysis process; wherein the interface call status includes the execution result of the interface call, the average execution time, the number of active interfaces and / or the execution failure alarm.

[0008] According to a specific implementation of the present application, in a second aspect, the present application provides a communication service package intelligent verification device, including: A reporting module is used to receive and preliminarily verify the business package data submitted by an external system or a reporter, and to report the business package data; an approval module is used to approve intelligent analysis requests for the business package data; an intelligent analysis module is used to perform intelligent analysis on the description content of the business package data to generate structured business package rule data, and to compare and verify the business package rule data with the business package data; a business module is used to store the verified and uploaded business package data to provide retrieval and display functions; a configuration module is used to configure intelligent analysis rules through a visual interface; a log recording module is used to record operation logs.

[0009] In one implementation, the intelligent analysis module includes a knowledge base: the knowledge base is used to import communication business knowledge documents to serve as an external knowledge source for the large language model.

[0010] In one implementation, the intelligent analysis module further includes a communication service workflow: the communication service workflow is used to perform task decomposition on the description content of the service package data.

[0011] In one embodiment, the device also includes an interface monitoring module for monitoring the interface calling status during the intelligent analysis process; wherein the interface calling status includes the execution result of the interface call, the average execution time, the number of active interfaces and / or the execution failure alarm.

[0012] According to the specific implementation of the present application, in a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory, characterized in that the processor executes the computer program to implement any one of the methods described in the first aspect.

[0013] According to the specific implementation of the present application, in a fourth aspect, the present application provides a computer-readable storage medium having a computer program / instruction stored thereon, characterized in that when the computer program / instruction is executed by a processor, the method described in any one of the first aspects is implemented.

[0014] Compared with the prior art, the above scheme of the embodiment of the present application has at least the following beneficial effects: the present application generates structured business package rule data by receiving reported business package data and using a large language model to perform intelligent analysis on these data, and then compares and verifies the generated data with the original data. If the verification passes, the data is automatically uploaded; if it fails, a verification work order is generated to prompt the reporter to modify and resubmit. The method provided by the present application reduces the need for manual intervention, improves the efficiency and accuracy of data processing, and ensures the consistency and standardization of business package data. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flow chart of a method for checking a communication service package in a related art is shown; Figure 2 A flow chart of a method for intelligently checking a communication service package is shown; Figure 3 A flow chart of a method for generating structured business package rule data is shown; Figure 4 A flow chart of intelligent rule configuration for communication service packages is shown; Figure 5 A flow chart of reasoning tasks for a communication service package is shown; Figure 6 A unit block diagram of a communication service package intelligent verification device according to an embodiment of the present application is shown; Figure 7 A schematic diagram of the structure of a communication service package intelligent verification device is shown; Figure 8 It shows a proposal flow chart of the communication service package intelligent verification device for communication service package processing; Fig. 9 The intelligent analysis flow chart of the communication service package intelligent verification device is shown; Fig.10 The present invention is a block diagram of an electronic device for intelligent verification of communication service packages according to an exemplary embodiment. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0017] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two.

[0018] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0019] It should be understood that although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0020] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0021] It should also be noted that the term "includes", "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, so that a commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the commodity or device including the elements.

[0022] It should be particularly noted that any symbols and / or numbers in the specification that are not marked in the accompanying drawings are not drawing marks.

[0023] The optional embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0024] In the mobile communications industry, with the rapid development of business, the amount of communication service package data reported is increasing. However, these reported data are often non-standard and incomplete, and mainly rely on operators to manually review and approve information such as service package descriptions. This manual review method leads to a large workload, low efficiency and prone to human errors. The specific process includes external systems or reporters submitting data through the reporting module, and the approval module manually verifies it after receiving it. Qualified data is uploaded to the business module, and unqualified data is sent back for re-reporting. Faced with the growing amount of data, traditional review methods can no longer meet the needs of efficient and accurate processing. A more intelligent and automated solution is urgently needed to improve the quality and efficiency of data reporting.

[0025] Figure 1 A flow chart of a method for checking a communication service package in related technologies is shown.

[0026] like Figure 1 As shown in the figure, in the existing communication service package data reporting process, the external system or reporter submits the service package data information through the reporting module according to the interface specification. After the approval module receives this data, it is manually verified according to the service package description. If the verification result is qualified, the service package data will be reported to the business module; if the verification is unqualified, it will be rejected and the reporter will be required to modify the data and report it again. This method based on manual review has the problems of large workload and low efficiency.

[0027] In view of this, the present application proposes a method and system for intelligent verification of communication service packages, which conducts intelligent analysis and verification of the reported service package fields and description information, and systematically verifies the analyzed service package rule data and the reported data. Data that passes the verification is automatically reported successfully, while data that fails generates a verification work order and is sent back to the reporting personnel so that it can be modified and re-reported according to the content of the work order. This method reduces manual intervention, improves the pass rate of reported data, and reduces the workload of manual review. In addition, the system also provides verification interface logging and monitoring functions, which facilitates the evaluation and monitoring statistics of package data. At the same time, the intelligent verification rules can be configured through a visual interface to facilitate operation and maintenance.

[0028] Figure 2 A flow chart of a method for intelligently checking a communication service package is shown. Figure 2 As shown, the process includes the following steps S201 to S204b.

[0029] Step S201, receiving reported service package data.

[0030] Step S202 , in response to the intelligent analysis request for the service package data being approved, a large language model is used to perform intelligent analysis on the description content of the service package data to generate structured service package rule data.

[0031] Step S203, comparing and verifying the service package rule data with the service package data.

[0032] Step S204a: if the verification is passed, the service package data is uploaded.

[0033] Step S204b: If the verification fails, a verification work order is generated and returned. The verification work order is used to instruct the reporter to modify the service package data and re-submit it.

[0034] The method provided in this application receives reported business package data, uses a large language model to perform intelligent analysis on these data to generate structured business package rule data, and then compares and verifies the generated data with the original data. If the verification passes, the data is automatically uploaded; if it fails, a verification work order is generated to prompt the reporter to modify and resubmit. This method reduces the need for manual intervention, improves the efficiency and accuracy of data processing, and ensures the consistency and standardization of business package data.

[0035] As a feasible implementation method, the present application can also import communication service knowledge documents, wherein the communication service knowledge documents are used to provide an external knowledge source for the large language model.

[0036] In the embodiment of the present application, the imported communication business knowledge document provides an additional external knowledge source for the large language model, enabling the model to perform reasoning analysis based on a richer information base. This not only improves the model's ability to understand complex business scenarios, but also enhances its performance in dealing with uncommon or special situations, thereby further improving the accuracy and reliability of the intelligent analysis results.

[0037] Figure 3 A flow chart of a method for generating structured business package rule data is shown, such as Figure 3 As shown, the process includes the following steps S301 to S302.

[0038] Step S301, using the communication service workflow, decomposing the description content of the service package data into tasks.

[0039] Step S302: Use a large language model to perform intelligent analysis on the decomposed description content to generate structured business package rule data.

[0040] In the embodiment of the present application, by decomposing the tasks of describing the content of the service package data, the complex analysis process can be simplified into multiple small steps, each of which is processed separately by a large language model. This approach reduces the complexity of the entire system and the high reliance on the reasoning ability of a single model, while also improving the stability and fault tolerance of the system, making the entire intelligent analysis process more efficient and easy to maintain.

[0041] Figure 4 A flow chart of intelligent rule configuration for communication service packages is shown.

[0042] For example, Figure 4 As shown, the user (developer) starts to configure the intelligent rules on the rule configuration page. First, create a workspace, and then create a knowledge base in the workspace. The knowledge base supports operations such as uploading, segmenting and cleaning, and archiving of knowledge documents, and returns the knowledge base creation results. Next, create a workflow task in the workspace and configure it at different nodes of the workflow. These nodes mainly include the start node, knowledge retrieval node, LLM node, conditional branch node, template conversion node, and end node. If an LLM node is configured in the workflow, you need to select and bind a large language model (LLM) and return the binding result; if a knowledge retrieval node is configured, you need to select and bind the previously created knowledge base, and also return the binding result. After completing the above steps, the workflow task creation is completed, the entire workspace creation is completed, and the intelligent rule configuration is also completed.

[0043] Figure 5 A flow chart of reasoning tasks for a communication service package is shown.

[0044] For example, Figure 5 As shown, the user (developer) enters the rule configuration page to start the inference task. First, enter the workspace on the configuration page, then start the workflow task and create an interface key. The workflow task returns the interface key to the workspace, and the workspace displays the key as a required parameter for requesting the workflow interface. At this time, the inference task is started. Next, the user enters the rule configuration page to test the inference task, selects the workflow task in the workspace, enters the business package test data, and runs the workflow task. The workflow task initiates an analysis request to the large language model (LLM), and the LLM returns the inference result data after analysis and reasoning. The workflow returns the test result data to the workspace, and the workspace displays these test result data. Finally, the inference task test is completed.

[0045] As a feasible embodiment, the present application can also monitor the interface call status during the intelligent analysis process, wherein the interface call status includes the execution result of the interface call, the average execution time, the number of active interfaces and / or the execution failure alarm.

[0046] In the embodiment of the present application, monitoring various indicators of interface calls during the intelligent analysis process, such as execution results, average execution time, number of active interfaces, and execution failure alarms, helps to understand the system operation status in real time and promptly discover and solve potential problems. This monitoring mechanism not only ensures the stable operation of the system, but also provides data support for subsequent performance optimization, ensuring the continuous improvement and high availability of intelligent verification services.

[0047] The present application proposes a method for intelligent verification of communication service packages, which intelligently analyzes the reported service package data according to the service package description content, and intelligently verifies the analyzed service package rule data with the reported service package rule data. If the verification is passed, the report is automatically successful; if the verification fails, a verification work order is generated and sent back, and the reporter re-submits it after modifying it according to the content of the verification work order. This solution reduces manual intervention, improves the pass rate of reported data, and reduces workload. In addition, the method provided in the present application also provides verification interface logging and monitoring functions, which are convenient for evaluating and monitoring package data. In addition, the intelligent verification rules can be configured through the page for easy maintenance.

[0048] The present application also provides an apparatus embodiment that is consistent with the above embodiment, which is used to implement the method steps of the above embodiment. The explanation based on the same name meaning is the same as the above embodiment, and has the same technical effect as the above embodiment, which will not be repeated here.

[0049] like Figure 6 As shown, the present application provides a communication service package intelligent verification device 600, comprising: The reporting module 601 is used to receive and preliminarily verify the business package data submitted by the external system or the reporter, and to report the business package data. The approval module 602 is used to approve the intelligent analysis request for the business package data. The intelligent analysis module 603 is used to perform intelligent analysis on the description content of the business package data to generate structured business package rule data, and to compare and verify the business package rule data with the business package data. The business module 604 is used to store the business package data that has passed the verification and uploaded, so as to provide retrieval and display functions. The configuration module 605 is used to configure the intelligent analysis rules through the visual interface. The logging module 606 is used to record the operation log.

[0050] In one implementation, the intelligent analysis module 603 includes a knowledge base: the knowledge base is used to import communication business knowledge documents to serve as an external knowledge source for a large language model.

[0051] In one implementation, the intelligent analysis module 603 further includes a communication service workflow: the communication service workflow is used to perform task decomposition on the description content of the service package data.

[0052] In one embodiment, the device further includes an interface monitoring module 607 for monitoring the interface call status during the intelligent analysis process, wherein the interface call status includes the execution result of the interface call, the average execution time, the number of active interfaces and / or the execution failure alarm.

[0053] Figure 7 A structural schematic diagram of a communication service package intelligent verification device is shown.

[0054] For example, Figure 7 As shown in the figure, the relationship and function of each module are shown. The external system or reporter can report the business package data through the reporting module. The reporting module performs a normative basic check on the data according to the interface specification, and the data that meets the specification will be reported to the approval module. The approval module includes process management and work order management, which is responsible for the flow processing of the reported business package data. The data can be uploaded to the business module or returned to the reporting module, and supports adding manual verification links through switch configuration. The business module is responsible for storing, retrieving and displaying the reported business package data that meets the specification. The evaluation module performs post-evaluation on the business package data process that has been reported. The intelligent analysis module is the core module of the device, which is responsible for the caching, analysis rule definition, reasoning analysis and intelligent verification of business package data. The module caches data through the built-in distributed cache, the workspace is used for scope division and application classification, and the knowledge base and workflow run in the workspace. The knowledge base can import knowledge documents as external knowledge sources to enable the large language model (LLM) to generate more accurate and context-aware answers. The workflow breaks down complex tasks into smaller steps, reduces the complexity of the device, reduces the reliance on prompt word technology and model reasoning capabilities, and improves the ease of use, stability, and fault tolerance of the device. The configuration module configures the workflow flowchart and analysis reasoning rules of the intelligent analysis module through a visual configuration page. The interface monitoring module monitors and counts the execution of the application interface, including execution results, average execution time, number of active interfaces, and execution failure alarms. The logging module records the call logs in the intelligent analysis module, including information such as the executed user, execution time, and execution status. The Large Language Model (LLM) is a machine learning model that can perform various natural language processing tasks, such as generating and classifying text, answering questions in a conversational manner, and translating text. The analysis module can select the appropriate mainstream model for matching as needed.

[0055] Figure 8 A proposal flow chart of the communication service package intelligent verification device performing communication service package processing is shown.

[0056] For example, Figure 8As shown, the external system or reporter reports the business package data information through the reporting module according to the interface specification. After receiving this data, the approval module initiates an intelligent analysis request to the intelligent analysis module. The intelligent analysis module then initiates a request to the large language model (LLM) to infer and generate business package rule data based on the business package description content. LLM returns the business package rule data after reasoning and analysis, and the intelligent analysis module performs intelligent verification on this data and returns the verification results to the approval module. If the intelligent verification passes, the reported business package data is uploaded to the business module for archiving; if the intelligent verification fails, a verification work order containing verification inconsistencies is generated and sent to the reporting module, requiring the reporter to correct the data and re-report it. After the reporting module confirms and modifies the data, the business package data is re-reported.

[0057] Fig. 9 The intelligent analysis flow chart of the communication service package intelligent verification device is shown.

[0058] For example, Fig. 9 As shown in the figure, after the approval module receives the service package data reported by the reporting module, it initiates a request to the intelligent analysis module, carrying the specified interface key and communication service package data. After receiving the request, the intelligent analysis module caches the service package data in the distributed cache (service package data A), and then distributes it to the corresponding workflow task according to the interface key and triggers execution. The intelligent analysis module initiates a request to the large language model (LLM), infers the service package rule attribute value based on the service package description content, and returns structured JSON format data. LLM analyzes and infers the service package description and generates structured JSON format service package data B. The intelligent analysis module intelligently verifies the cached service package data A and the service package data B returned by LLM, and generates the verification result. Subsequently, the intelligent analysis module sends the operation log record to the log module and receives the log sending result; at the same time, it sends the interface call data to the monitoring module for monitoring and receives the monitoring result. Finally, the intelligent analysis module returns the verification result to the approval module.

[0059] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0060] Fig.10 It is a block diagram of an electronic device 1000 for intelligent verification of communication service packages according to an exemplary embodiment.

[0061] like Fig.10As shown, an embodiment of the present application provides an electronic device 1000. The electronic device 1000 includes a memory 1001, a processor 1002, and an input / output (I / O) interface 1003. The memory 1001 is used to store instructions. The processor 1002 is used to call the instructions stored in the memory 1001 to execute the method for intelligent verification of the communication service package in the embodiment of the present application. The processor 1002 is connected to the memory 1001 and the I / O interface 1003, respectively, for example, through a bus system and / or other forms of connection mechanisms (not shown). The memory 1001 can be used to store programs and data, including the program of the method for intelligent verification of the communication service package involved in the embodiment of the present application, and the processor 1002 executes various functional applications and data processing of the electronic device 1000 by running the program stored in the memory 1001.

[0062] In the embodiment of the present application, the processor 1002 can be implemented in at least one hardware form of a digital signal processor (Digital Signal Processing, DSP), a field programmable gate array (Field Programmable Gate Array, FPGA), and a programmable logic array (Programmable Logic Array, PLA). The processor 1002 can be a central processing unit (Central Processing Unit, CPU) or one or a combination of other forms of processing units with data processing capabilities and / or instruction execution capabilities.

[0063] The memory 1001 in the embodiment of the present application may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), flash memory, hard disk drive (HDD), or solid state drive (SSD), etc.

[0064] In the embodiment of the present application, the I / O interface 1003 may be used to receive input instructions (such as digital or character information, and key signal input related to user settings and function control of the electronic device 1000), and may also output various information to the outside (such as images or sounds). In the embodiment of the present application, the I / O interface 1003 may include one or more of a physical keyboard, a function key (such as a volume control key, a switch key, etc.), a mouse, a joystick, a trackball, a microphone, a speaker, and a touch panel.

[0065] In some embodiments, the present application provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, any of the methods described above is performed.

[0066] In some embodiments, the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, any of the methods described above is performed.

[0067] Although operations are described in a particular order in the drawings, this should not be understood as requiring that the operations be performed in the particular order shown or in serial order, or that all shown operations be performed to achieve desired results. In certain circumstances, multitasking and parallel processing may be advantageous.

[0068] The methods, devices, equipment and storage media of the present application can be implemented using standard programming techniques, using rule-based logic or other logic to implement various method steps. It should also be noted that the words "device" and "module" used herein and in the claims are intended to include implementations using one or more lines of software code and / or hardware implementations and / or devices for receiving input.

[0069] Any steps, operations or procedures described herein may be performed or implemented using one or more hardware or software modules, either alone or in combination with other devices. In one embodiment, the software module is implemented using a computer program product including a computer-readable medium containing computer program code, which can be executed by a computer processor to perform any or all of the described steps, operations or procedures.

[0070] The foregoing description of the implementation of the present application has been given for the purpose of illustration and description. The foregoing description is not exhaustive nor is it intended to limit the present application to the exact form disclosed, and various variations and modifications may exist according to the above teachings or may be obtained from the practice of the present application. These embodiments are selected and described in order to illustrate the principles of the present application and its practical application, so that those skilled in the art can utilize the present application in various embodiments and various modifications suitable for the specific purpose contemplated.

[0071] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0072] It can be further understood that, unless otherwise specified, “connection” includes a direct connection without other components between the two, and also includes an indirect connection with other components between the two.

[0073] It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present application, it should not be understood as requiring the operations to be performed in the specific order or serial order shown, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

[0074] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to encompass any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the field of the present application that are not disclosed in the present application. The specification and embodiments are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following scope of rights.

[0075] It should be understood that the present application is not limited to the precise structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the scope of the appended claims.

[0076] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for intelligently checking a communication service package, characterized in that: The following steps are involved: Receive reported service package data; In response to the intelligent analysis request for the service package data being approved, using a large language model to intelligently analyze the description content of the service package data to generate structured service package rule data; Comparing and verifying the service package rule data with the service package data; If the verification is passed, the service package data is uploaded; If the verification fails, a verification work order is generated and returned, and the verification work order is used to instruct the reporter to modify the service package data and re-report.

2. The method according to claim 1, characterized in that The method further comprises: A communication service knowledge document is imported, where the communication service knowledge document is used to provide an external knowledge source for the large language model.

3. The method according to claim 1 or 2, characterized in that: The use of a large language model to intelligently analyze the description content of the service package data to generate structured service package rule data includes: Using the communication service workflow, decomposing the description content of the service package data into tasks; A large language model is used to intelligently analyze the decomposed description content to generate structured business package rule data.

4. The method according to claim 1, characterized in that: The method further comprises: Monitoring the interface calls during the intelligent analysis process; The interface call status includes the execution result of the interface call, the average execution time, the number of active interfaces and / or the execution failure alarm.

5. A communication service package intelligent verification device, characterized in that: include: The reporting module is used to receive and preliminarily verify the business package data submitted by the external system or the reporter, and to report the business package data; An approval module, used for approving intelligent analysis requests for the business package data; An intelligent analysis module, used for intelligently analyzing the description content of the service package data to generate structured service package rule data, and for comparing and verifying the service package rule data with the service package data; The business module is used to store the verified and uploaded business package data and provide retrieval and display functions; Configuration module, used to configure intelligent analysis rules through a visual interface; Logging module, used to record operation logs.

6. The device according to claim 5, characterized in that The intelligent analysis module includes a knowledge base: the knowledge base is used to import communication business knowledge documents to serve as an external knowledge source of the large language model.

7. The device according to claim 5 or 6, characterized in that The intelligent analysis module also includes a communication service workflow: the communication service workflow is used to perform task decomposition on the description content of the service package data.

8. The device according to claim 5, characterized in that The device also includes an interface monitoring module for monitoring the interface calling status during the intelligent analysis process; wherein the interface calling status includes the execution result of the interface call, the average execution time, the number of active interfaces and / or the execution failure alarm.

9. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method according to any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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