SELF-REPAIRING TEST MODULE SYSTEM AND METHOD

Abstract

The invention relates to a system and method that automatically detects and diagnoses software errors that may occur within a network, and corrects certain levels of malfunctions software-based without requiring user intervention.

Description

1 TARIFF SELF-REPAIRING TEST MODULE SYSTEM AND METHOD Technical Area The invention describes a system used in the testing and maintenance processes of telecommunication networks. It is related to the method. 5 Specifically, the invention automatically detects software errors that may occur within the network. diagnosing and fixing certain types of malfunctions without requiring user intervention. It relates to a system and method that corrects problems based on software. State of the Art Today, network management and testing systems, especially in telecommunications and cloud infrastructures, are crucial. and widely used in environments requiring high availability, such as data centers These systems are used to prevent performance degradation that may occur on the network. to detect issues such as configuration errors or service interruptions It collects and analyzes log and error data. However, in current applications... The following limitations are noteworthy: 15 - Manual Intervention Required: After fault detection, usually Analysis and intervention by human operators are required. This This situation is causing the process to slow down, negatively affecting service continuity. It affects and increases the risk of human error. - Delayed Response Times: 20 days between the detection of an error and the corresponding response time. The time elapsed between the implementation of solution steps is mostly the system's This leads to a decline in performance and customer dissatisfaction. - Lack of Preventive Measures: Most existing systems are reactive in nature. It only activates after an error occurs. Possible errors System architectures that anticipate and provide preventive solutions are not widespread enough. 25 - Resource Consumption: Error resolution, especially in large and complex network infrastructures. Manual execution of processes; need for qualified personnel, time loss and This results in a significant waste of resources in terms of operational costs. 2 - Inconsistent Updates and Integration Issues: Running on different infrastructures Inconsistencies in error management systems, over a centralized system This makes it difficult to implement standardized intervention processes. For these reasons, the current level of technology offers high reliability, low latency, and 5 Meeting the needs of modern network systems that require continuous learning capabilities They are insufficient. In line with current needs, error management processes... fully automated, continuously powered by artificial intelligence-assisted learning mechanisms The need for an integrated and compatible system has emerged. As a result of the research conducted on this subject, the numbered “Artificial” WO2017214271A1 was identified. An application titled "Intelligence Based Network Advisor" was found. The system, 10 Artificial intelligence for root cause analysis and repair prioritization in wireless carrier networks. It offers an intelligence-based solution. The system utilizes user devices and network components. By analyzing incoming performance data, we can predict the root causes of problems and It determines solution priorities. Problems that arise in the system and the solutions implemented. a mechanism that learns by analyzing and offers solutions for the future 15 It is not mentioned. In conclusion, due to the negative aspects described above and the current solutions being the subject of discussion... Due to its shortcomings, an improvement is needed in the relevant technical field. It has been made. Purpose of the Invention 20 The invention was created by drawing inspiration from existing situations and overcoming the aforementioned drawbacks. It aims to solve the problem. The main purpose of the invention is to automatically detect software errors that may occur within the network. It detects, diagnoses, and resolves certain types of malfunctions without requiring user intervention. The goal is to create a system and method that corrects problems without delay, using software. 25 Another purpose of the invention is to enable continuous monitoring, fault prevention, and in large-scale infrastructures. telecommunications companies that want to establish automated improvement mechanisms The goal is to develop systems and methods that provide practical solutions for providers. 3 Another purpose of the invention is to enable real-time monitoring and diagnostics of the network. a system that enables the early detection of performance drops. and designing methods. Another aim of the invention is to create a similar decision-making mechanism using artificial intelligence. a 5 that makes it possible to predict errors and prevent them from happening The goal is to present systems and methods. Another aim of the invention is to reduce the need for manual intervention through automation, The goal is to create a system and method that eliminates human error. Another aim of the invention is to reduce the time spent on troubleshooting and troubleshooting. The goal is to create a system and method that increases operational efficiency. 10 Another aim of the invention is that it can be integrated into different software infrastructures and updated. The goal is to develop a system and method that has an expandable structure. To achieve the purposes described above, the invention may create a network that can generate income. automatically detects and diagnoses software errors and malfunctions at a certain level. It is a software-based system that corrects problems without requiring user intervention. 15 Accordingly, the system;  A data collection system that continuously gathers network performance, log, and error data. module,  The aforementioned data collection module analyzes the collected data using software. Error recognition, which identifies errors and classifies them into predefined categories, and 20 classification module,  classified by the aforementioned error detection and classification module autonomous repair that performs software-based interventions appropriate to the error module,  The error detected by the aforementioned error recognition and containment module is 25 and analyze the solution implemented by the aforementioned autonomous repair module. artificial intelligence generates solutions to prevent similar errors from occurring in the future. intelligence module  System administrators regarding the problem that arose and the solution implemented The reporting module, which generates technical reports that will provide information, 30  The system's ability to integrate with other network components or third-party systems integration interface that provides the necessary communication infrastructure 4 It includes. The invention also enables the automatic detection of software errors that may occur within the network. It detects, diagnoses, and resolves certain types of malfunctions without requiring user intervention. It also includes a software-based correction method without leaving anything behind. Accordingly, 5 method;  Network performance, log and error data are continuously collected by a data collection module. collected through,  The aforementioned data collection module performs the analysis of the collected data. analysis through an error detection and classification module capable of performing 10 by identifying software errors and classifying them into predefined categories. classification,  Errors classified by the aforementioned error recognition and classification module suitable software-based interventions via an autonomous repair module implementation, 15  errors detected by the aforementioned error recognition and limitation module artificial intelligence solution implemented by the aforementioned autonomous repair module analyzed by an artificial intelligence module capable of running its algorithms Developing solutions to prevent similar errors from occurring in the future,  A reporting module capable of performing reporting operations resulted in 20 will inform system administrators about the problem and the implemented solution generating technical reports,  an integration interface, other network components of the system or third parties providing the necessary communication infrastructure for integration with systems It includes the steps of the process. 25 The structural and characteristic features and all the advantages of the invention are given in the figures below. This becomes clearer thanks to the detailed explanation written with references to these figures. This will be understood as such, and therefore the evaluation will also take these forms and detailed explanations into account. This should be done taking this into consideration. 30 Figures that will help understand the invention. Figure 1 shows a schematic representation of the system that is the subject of the invention. Explanation of Part References 1. Data collection module 2. Error detection and classification module 3. Autonomous repair module 4. Artificial intelligence module 5 5. Reporting module 6. Integration interface Detailed Description of the Invention This detailed explanation describes the preferred system and method for the invention. Their structures are explained solely for the purpose of better understanding the subject. 10 The invention automatically detects and diagnoses software errors that may occur within the network. software that detects and resolves certain types of malfunctions without requiring user intervention. It is a system that corrects based on a fundamental principle. Figure 1 shows the schematic of the system that is the subject of the invention. The image is provided. Accordingly, the system continuously monitors network performance, log, and error data. a data collection module (1) that collects data as mentioned data collection module (1) 15 By analyzing the collected data, it identifies software errors and predefined Error recognition and classification module (2), which classifies the mentioned error into categories Software suitable for the error classified by the recognition and classification module (2). Autonomous repair module (3) which performs fault recognition based interventions, mentioned fault recognition and the error detected by the limiting module (2) and the aforementioned autonomous 20 By analyzing the solution implemented by the repair module (3), future problems may occur artificial intelligence module (4) that produces solution suggestions for similar errors, the problem that arises and the technical team that will inform the system administrators about the implemented solution. reporting module (5) which generates the reports, other network components of the system or 25 necessary communication infrastructure for integration with third-party systems It includes the integration interface (6) that provides. The system works on the following principle: 6 Network performance, log and error data, a data collection module (1) located in the system This data is continuously collected through various channels. This data is then used within the system for error detection and... Possible software errors are identified by analyzing the classification module (2). and are divided into predefined error categories. For each error classified by the error recognition and classification module (2), 5 appropriate software-based interventions, autonomous repair module (3) in the system This is carried out through the error recognition and classification module (2) The error detected by the autonomous repair module (3) is implemented by the The solution is an artificial intelligence within the system that can run AI algorithms. It is analyzed by the intelligence module (4). As a result of this analysis, 10 things that will happen in the future This allows for faster and more effective solutions to be developed for similar errors that may occur in the future. In addition, a reporting module (5) in the system reports the detected problem and the implemented solution. Detailed technical reports to inform system administrators about the solution. Finally, an integration interface (6) produces other network components of this system or 15 necessary communication infrastructure to enable integration with third-party systems provides.

Claims

7 REQUESTS 1. Automatically detects and diagnoses software errors that may occur within the network. and fixes certain levels of malfunctions without requiring user intervention. It is a software-based system for correction, and its feature is;  A data collection system that continuously gathers network performance, log, and error data. 5 module (1),  The mentioned data collection module (1) analyzes the collected data using software. Error recognition, which identifies errors and classifies them into predefined categories. Classification module (2),  10 classified by the aforementioned error recognition and classification module (2) autonomous repair that performs software-based interventions appropriate to the error module (3),  detected by the aforementioned error recognition and limitation module (2) error and solution implemented by the mentioned autonomous repair module (3) 15 that analyze and generate solutions for similar errors that may occur in the future artificial intelligence module (4),  System administrators regarding the problem that arose and the solution implemented Reporting module (5) which generates technical reports that will inform,  The system's ability to integrate with other network components or third-party systems integration interface (6) 20 which provides the necessary communication infrastructure It includes.

2. Automatically detects and diagnoses software errors that may occur within the network. and fixes certain levels of malfunctions without requiring user intervention. It is a software-based correction method, and its feature is; 25  Network performance, log and error data are continuously collected by a data collection module (1) collected through,  The mentioned data collection module (1) analyzes the collected data. analysis through an error detection and classification module (2) that can perform by identifying software errors and classifying them into predefined categories. classification,  classified by the aforementioned error recognition and classification module (2) an autonomous repair module of appropriate software-based interventions for the fault (3) to be carried out through, 8  detected by the aforementioned error recognition and limitation module (2) error and the solution implemented by the mentioned autonomous repair module (3) by an AI module (4) that can run AI algorithms By analyzing the results, solutions can be suggested for similar errors that may occur in the future. production, 5  the emergence of a reporting module (5) that can perform reporting operations will inform system administrators about the problem encountered and the solution implemented. generating the necessary technical reports,  an integration interface (6), other network components of the system or third party 10. Providing the necessary communication infrastructure for integration with systems It includes the steps of the process.

Images