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CN-121979701-A - Service processing method, device, equipment and storage medium based on artificial intelligence

CN121979701ACN 121979701 ACN121979701 ACN 121979701ACN-121979701-A

Abstract

The application provides a service processing method, a device, equipment and a storage medium based on artificial intelligence, which belong to the field of artificial intelligence; the service interface in the service system is called according to the interface parameters, the target service data is input to the service system so that the service system carries out service processing on the target service data to obtain a service processing result, and the service processing result returned by the service interface is obtained. The application greatly improves the efficiency and accuracy of adapting the service request to the service interface, thereby greatly improving the efficiency and accuracy of processing the service request. The application can be applied to the technical field of finance and the technical field of medical treatment, and improves the efficiency and the accuracy of the request processing of financial products and medical related businesses.

Inventors

  • CAI PANJIN

Assignees

  • 平安国际融资租赁有限公司

Dates

Publication Date
20260505
Application Date
20260123

Claims (10)

  1. 1. A business processing method based on artificial intelligence, comprising: Acquiring a service request and an interface parameter configuration model, wherein the interface parameter configuration model is obtained by training a neural network model on the basis of a plurality of sample data in advance, and the sample data comprises interface parameters of the sample service request and the label; Performing service interface adaptation and addition on the service request through the interface parameter configuration model to obtain target service data, wherein the target service data carries interface parameters of an interface to be called; Calling a service interface in a service system according to the interface parameter, and inputting the target service data into the service system so that the service system performs service processing on the target service data to obtain a service processing result; And acquiring a service processing result returned by the service interface.
  2. 2. The service processing method based on artificial intelligence according to claim 1, wherein the performing service interface adaptation and addition on the service request through the interface parameter configuration model to obtain target service data includes: according to the service request, determining candidate interface parameters of an interface to be called; performing configuration parameter matching on the service request through the interface parameter configuration model to obtain interface configuration parameters; Adjusting the candidate interface parameters through the interface configuration parameters to obtain interface parameters of the interface to be called; And adding the interface parameters to the service request to obtain the target service data.
  3. 3. The artificial intelligence based service processing method according to claim 2, wherein the determining candidate interface parameters of the interface to be invoked according to the service request includes: Acquiring a mapping relation table between a preset service request and interface parameters; And matching interface parameters of the interface to be called corresponding to the service request from the mapping relation table to obtain candidate interface parameters of the interface to be called.
  4. 4. The artificial intelligence based service processing method according to claim 2, wherein the performing configuration parameter matching on the service request through the interface parameter configuration model to obtain interface configuration parameters includes: the interface parameter configuration model is used for identifying the service request by a uniform resource positioning system and a request type to obtain a target uniform resource positioning system and a target request type; And acquiring configuration parameters matched with the target uniform resource positioning system and the target request type to obtain the interface configuration parameters.
  5. 5. The service processing method based on artificial intelligence according to claim 1, wherein after obtaining the service processing result returned by the service interface, the method further comprises: and analyzing the service processing result to obtain a target service processing result.
  6. 6. An artificial intelligence based business processing method according to any one of claims 1 to 5, wherein the method further comprises: Obtaining a sample data set, wherein the sample data set comprises a plurality of sample data, and the sample data comprises a sample service request and marked interface configuration parameters; Acquiring a preset neural network model, and selecting one sample data from the sample data set as target sample data; Inputting a sample service request in the target sample data into the preset neural network model to generate interface configuration parameters, so as to obtain predicted interface configuration parameters; determining whether the preset neural network model is converged or not according to the predicted interface configuration parameters and the interface configuration parameters marked in the target sample data; and if the preset neural network model is not converged, adjusting model parameters of the preset neural network model, and continuously executing the step of selecting one sample data from the sample data set as target sample data until a converged interface parameter configuration model is obtained.
  7. 7. The artificial intelligence based business processing method of claim 6, wherein the determining whether the preset neural network model converges according to the predicted interface configuration parameters and the interface configuration parameters noted in the target sample data comprises: Determining a loss value of the preset neural network model according to the predicted interface configuration parameters and the marked interface configuration parameters; if the loss value is smaller than or equal to a preset loss value, determining that the preset neural network model is converged; and if the loss value is larger than a preset loss value, determining that the preset neural network model is not converged.
  8. 8. The service processing device is characterized by comprising an acquisition module, a generation module and an input module, wherein: The acquisition module is used for acquiring a service request and an interface parameter configuration model, wherein the interface parameter configuration model is obtained by training a neural network model based on a plurality of sample data in advance, and the sample data comprises interface parameters of a sample service request and a label; The generating module is used for carrying out service interface adaptation and addition on the service request through the interface parameter configuration model to obtain target service data, wherein the target service data carries interface parameters of an interface to be called; The input module is used for calling a service interface in a service system according to the interface parameter to input the target service data into the service system so that the service system can perform service processing on the target service data to obtain a service processing result; the acquisition module is further used for acquiring a service processing result returned by the service interface.
  9. 9. A computer device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements the steps of the artificial intelligence based business processing method of any of claims 1 to 7.
  10. 10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program, wherein the computer program, when being executed by a processor, implements the steps of the artificial intelligence based business processing method according to any of claims 1 to 7.

Description

Service processing method, device, equipment and storage medium based on artificial intelligence Technical Field The present application relates to the field of artificial intelligence technologies, and in particular, to a service processing method, apparatus, device, and storage medium based on artificial intelligence. Background As the services of computer systems become more and more abundant, the functions of the systems become more and more complex, and one service process often needs multiple service systems to be completed. For example, when a financial product of a financial and financial industry purchases, the product selection system is first required to be accessed to select the financial product, and after the financial product is selected, the product transaction system is required to be accessed to purchase the financial product. For another example, in the medical reimbursement business, it is first necessary to inquire treatment payment data in a hospital system, and then to perform fee reimbursement registration in the medical reimbursement system to complete the medical reimbursement business. When the service request is completed, a plurality of service systems are matched and completed, and service interfaces are required to be called when different service systems are accessed, but because of the tool format difference of the service interfaces, an adaptation layer is required to be redeveloped for interface adaptation each time, so that the service processing efficiency is seriously affected, and meanwhile, the development and maintenance cost of the service interfaces is high. Therefore, how to accurately and conveniently adapt a service interface for a service request to improve efficiency and accuracy of service processing is a problem to be solved at present. Disclosure of Invention The application mainly aims to provide a business processing method, a business processing device, business processing equipment and a storage medium based on artificial intelligence, aiming at improving the efficiency and the accuracy of business request adaptation business interfaces. In a first aspect, the present application provides an artificial intelligence based service processing method, including the steps of: Acquiring a service request and an interface parameter configuration model, wherein the interface parameter configuration model is obtained by training a neural network model on the basis of a plurality of sample data in advance, and the sample data comprises interface parameters of the sample service request and the label; Performing service interface adaptation and addition on the service request through the interface parameter configuration model to obtain target service data, wherein the target service data carries interface parameters of an interface to be called; Calling a service interface in a service system according to the interface parameter, and inputting the target service data into the service system so that the service system performs service processing on the target service data to obtain a service processing result; And acquiring a service processing result returned by the service interface. In a second aspect, the present application further provides a service processing apparatus, where the service processing apparatus includes an acquisition module, a generation module, and an input module, where: The acquisition module is used for acquiring a service request and an interface parameter configuration model, wherein the interface parameter configuration model is obtained by training a neural network model based on a plurality of sample data in advance, and the sample data comprises interface parameters of a sample service request and a label; The generating module is used for carrying out service interface adaptation and addition on the service request through the interface parameter configuration model to obtain target service data, wherein the target service data carries interface parameters of an interface to be called; The input module is used for calling a service interface in a service system according to the interface parameter to input the target service data into the service system so that the service system can perform service processing on the target service data to obtain a service processing result; the acquisition module is further used for acquiring a service processing result returned by the service interface. In a third aspect, the present application also provides a computer device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements the steps of the artificial intelligence based business processing method as described above. In a fourth aspect, the present application also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, impleme