CN-121326380-B - Application system integrated management system and method based on artificial intelligence

CN121326380BCN 121326380 BCN121326380 BCN 121326380BCN-121326380-B

Abstract

The invention relates to the technical field of system integrated management and discloses an application system integrated management system and method based on artificial intelligence. The system acquires the integration requirement of an application system through an information acquisition module, a compatible analysis module analyzes compatibility among systems by depending on the integration requirement and a pre-training artificial intelligent model to generate a preliminary integration scheme, a preliminary configuration module configures data conversion rules and interaction protocols among the systems according to the scheme to output a preliminary configuration result, the integrated acquisition module completes preliminary integration based on the configuration result and synchronously acquires state data and abnormal information in the integration process, a state feedback module feeds the data back to the artificial intelligent model, and a scheme optimization module optimizes the preliminary scheme by means of the fed back model to obtain an optimized integration scheme.

Inventors

CHEN KAI
LIANG HUIMIN
Leng Jinlin
OUYANG WEIWEI

Assignees

云上(南昌)大数据运营有限公司

Dates

Publication Date: 20260508
Application Date: 20251217

Claims (6)

1. An artificial intelligence based application system integrated management system, the system comprising: The information acquisition module is used for acquiring the system integration requirement of the application system; The compatibility analysis module is used for analyzing the compatibility between the application systems based on the system integration requirement and the pre-trained artificial intelligent model to obtain a preliminary integration scheme of the application systems, and comprises the following steps: Carrying out compatibility analysis on the application system based on the system integration requirement and a pre-trained artificial intelligent model to obtain a compatibility evaluation report of the application system; Performing integrated mode matching on the application system based on the compatibility evaluation report to obtain a reference integrated mode set of the application system; generating an integration scheme of the application system based on the reference integration pattern set and real-time environment constraint of the application system, so as to obtain a preliminary integration scheme of the application system; the compatibility evaluation report comprises protocol compatibility, data format suitability, hardware resource matching degree, risk level and risk point description; the preliminary configuration module is used for carrying out preliminary configuration on the data conversion rule and the interaction protocol between the application systems based on the preliminary integration scheme to obtain a preliminary configuration result between the application systems, and comprises the following steps: Performing conversion rule configuration on the data format among the application systems based on the preliminary integration scheme and the system interface specification of the application systems to obtain a standardized data mapping table among the application systems; performing adaptation adjustment on the communication protocol between the application systems based on the standardized data mapping table to obtain a compatible communication protocol between the application systems; performing preliminary deployment on the integrated link between the application systems based on the standardized data mapping table and the compatible communication protocol to obtain a preliminary configuration result between the application systems; the integrated acquisition module is used for carrying out preliminary integration on the application system based on the preliminary configuration result to obtain a preliminary integrated system of the application system, and acquiring state data and abnormal information of the preliminary integrated system in the integration process; the state feedback module is used for feeding back the state data and the abnormal information to the artificial intelligent model, and comprises the following components: carrying out security encapsulation transmission on the state data and the abnormal information to obtain structured feedback data of the application system; inputting the structured feedback data into the artificial intelligence model; the scheme optimization module is used for optimizing and adjusting the preliminary integration scheme based on the fed-back artificial intelligent model to obtain an optimized integration scheme of the application system, and comprises the following steps: Performing exception positioning on the preliminary integration scheme based on the state data and the exception information to obtain exception node characteristics of the preliminary integration scheme; And carrying out structural optimization on the preliminary integration scheme based on the abnormal node characteristics to obtain an optimized integration scheme of the preliminary integration system.
2. The artificial intelligence based application integration management system of claim 1, wherein the obtaining the system integration requirement of the application system comprises: Performing data interaction analysis on the application system to obtain data flow and protocol specification of the application system; and integrating the demands of the application system based on the data flow and the protocol specification of the application system to obtain the system integration demands of the application system.
3. The artificial intelligence-based application system integration management system according to claim 1, wherein the performing preliminary integration on the application system based on the preliminary configuration result to obtain a preliminary integrated system of the application system comprises: Performing interface deployment on the application system based on the preliminary configuration result to obtain a data interaction module of the application system; performing rule coordination on the application system based on an interaction protocol between the data interaction module and the application system to obtain a distribution coordination rule of the application system; And integrating the application system based on the distribution coordination rule to obtain a preliminary integrated system of the application system.
4. The artificial intelligence based integrated management system of an application system according to claim 3, wherein the rule coordination of the application system based on the interaction protocol between the data interaction module and the application system to obtain a distributed coordination rule of the application system comprises: Converting the data format difference between the application systems based on the data interaction module to obtain data conversion characteristics between the application systems; constraining operation time sequences among the application systems based on the data conversion characteristics to obtain a task scheduling sequence of the application systems; And coordinating the exception handling logic of the application system based on the task scheduling sequence to obtain a distribution coordination rule of the application system.
5. The artificial intelligence based application system integrated management system of claim 1, wherein the collecting and collecting status data and anomaly information of the preliminary integrated system during the integration process comprises: acquiring the running state of the preliminary integrated system to obtain state data of the preliminary integrated system; And detecting an abnormal event in the operation of the preliminary integrated system based on the state data to obtain the abnormal information of the preliminary integrated system.
6. An artificial intelligence application system integrated management method based on an artificial intelligence application system integrated management system according to any one of claims 1 to 5, the method comprising: S1, acquiring system integration requirements of an application system; S2, analyzing compatibility among the application systems based on the system integration requirement and a pre-trained artificial intelligent model to obtain a preliminary integration scheme of the application systems; S3, performing preliminary configuration on the data conversion rules and interaction protocols between the application systems based on the preliminary integration scheme to obtain a preliminary configuration result between the application systems; S4, carrying out preliminary integration on the application system based on the preliminary configuration result to obtain a preliminary integrated system of the application system, and collecting state data and abnormal information of the preliminary integrated system in an integration process; s5, feeding back the state data and the abnormal information to the artificial intelligent model; and S6, optimizing and adjusting the preliminary integration scheme based on the fed-back artificial intelligent model to obtain an optimized integration scheme of the application system.

Description

Application system integrated management system and method based on artificial intelligence Technical Field The invention relates to the technical field of system integrated management, in particular to an application system integrated management system and method based on artificial intelligence. Background In the prior art, application system integration relies on manual dominant scheme design and configuration, technicians need to manually analyze data flows, protocol specifications and interface characteristics of each system, then formulate an integration scheme according to experience, and then configure data conversion rules and interaction protocols one by one. In the integration process, the monitoring of the running state of the system and the acquisition of abnormal information are mostly manual sampling or post-investigation, the real-time performance and the comprehensiveness are lacking, the optimization and adjustment of the integration scheme are required to wait for obvious problems in the whole integration flow, and then the technical personnel evaluate and modify the whole integration flow again, so that the whole integration flow depends on manpower experience and is lack of standardized and intelligent support. The prior art has the remarkable defects that the efficiency of the integration process is low, the accuracy is difficult to guarantee, a great amount of time and cost are consumed for manual analysis and configuration, compatibility evaluation deviation is easily caused by personal experience difference, and the integration scheme is unreasonable, meanwhile, the problem in the integration process cannot be found in time due to the lack of a real-time state data acquisition and abnormal feedback mechanism, the scheme is lagged, the dynamic change requirement of a system is difficult to adapt, the stability of the integration system is poor, the later maintenance difficulty is high, and the practical requirement of application system integration cannot be met efficiently. Disclosure of Invention The invention provides an application system integrated management system and method based on artificial intelligence, and mainly aims to solve the problems of low efficiency, poor accuracy, lack of real-time feedback and dynamic optimization, insufficient integration stability and high maintenance difficulty caused by the fact that the application system integration depends on manpower in the prior art. In order to achieve the above object, the present invention provides an artificial intelligence based integrated management system for an application system, comprising: The information acquisition module is used for acquiring the system integration requirement of the application system; the compatibility analysis module is used for analyzing the compatibility between the application systems based on the system integration requirement and the pre-trained artificial intelligent model to obtain a preliminary integration scheme of the application systems; The preliminary configuration module is used for carrying out preliminary configuration on the data conversion rules and the interaction protocols between the application systems based on the preliminary integration scheme to obtain a preliminary configuration result between the application systems; the integrated acquisition module is used for carrying out preliminary integration on the application system based on the preliminary configuration result to obtain a preliminary integrated system of the application system, and acquiring state data and abnormal information of the preliminary integrated system in the integration process; the state feedback module is used for feeding back the state data and the abnormal information to the artificial intelligent model; and the scheme optimization module is used for optimizing and adjusting the preliminary integration scheme based on the fed-back artificial intelligent model to obtain an optimized integration scheme of the application system. Preferably, the acquiring the system integration requirement of the application system includes: Performing data interaction analysis on the application system to obtain data flow and protocol specification of the application system; and integrating the demands of the application system based on the data flow and the protocol specification of the application system to obtain the system integration demands of the application system. Preferably, the analyzing the compatibility between the application systems based on the system integration requirement and the pre-trained artificial intelligence model to obtain a preliminary integration scheme of the application systems includes: Carrying out compatibility analysis on the application system based on the system integration requirement and a pre-trained artificial intelligent model to obtain a compatibility evaluation report of the application system; Performing integrated mode matching on the application system base