Remote fault diagnosis and analysis method for financial ATM (automatic teller machine)

Abstract

The invention relates to a remote fault diagnosis and analysis method for a financial ATM (Automatic Teller Machine), which is a technology for circularly reporting equipment module states based on remote equipment, and is used for diagnosing equipment fault reasons and background analyzing equipment real-time states (normal service / suspended service / consumable service conditions and the like) according to hardware technical characteristics of each module and a specific fault corresponding error code matching rule. A solution (remote repair / field repair / maintenance consumables) is given through analysis. The timeliness and economical efficiency of personnel polling check and regular maintenance are compensated, and the equipment startup rate, the user utilization rate and the satisfaction degree are improved. The data acquisition module is responsible for acquiring ATM running state data in real time, including but not limited to information such as transaction records, hardware states, network connection and the like; and the communication module is responsible for transmitting the acquired data to a central monitoring server and supporting various communication protocols to ensure stable transmission of the data. The central monitoring server is used for receiving and storing the data from each ATM, carrying out primary processing and analysis, marking abnormal data and then sending the abnormal data to the diagnostic analysis module. And the diagnosis and analysis module is used for carrying out deep analysis and comparison on abnormal data based on big data analysis, identifying potential fault types and providing corresponding solutions. And the user interface is used for providing an interactive interface for bank maintenance personnel and a manager to display the running state, fault early warning and processing suggestions of the ATM equipment in real time.

Description

Technical Field

[0001] This invention relates to the field of financial technology, and in particular to a remote diagnostic and fault analysis system and method for ATMs. Through the above invention, financial institutions can significantly improve the maintenance efficiency and service quality of ATM equipment, providing users with safer and more convenient financial services. Background Technology

[0002] With the continuous development and expansion of internet finance, ATMs, as an important part of the financial industry, are widely distributed in public places such as bank branches, shopping malls, and communities. However, ATM malfunctions can lead to a decline in user experience and even affect the security and efficiency of financial transactions. Traditional ATM fault diagnosis mainly relies on on-site technicians for inspection and maintenance, which is not only time-consuming and labor-intensive but may also affect service quality and customer satisfaction due to untimely responses. Summary of the Invention

[0003] This invention provides a remote diagnostic and analysis system and method for financial ATMs, aiming to achieve real-time monitoring and fault early warning of ATM equipment through remote monitoring and intelligent analysis technology, thereby improving the efficiency and accuracy of fault handling. Attached Figure Description

[0004] Figure 1 The system network architecture diagram involved in this invention.

[0005] Figure 2 The data transmission flowchart involved in this invention. Detailed Implementation 1. Data Acquisition: The data acquisition module installed on the ATM collects the equipment's operating data and the status of each hardware module in real time.

[0006] 2. Data transmission: The collected data is sent to the central monitoring server using the communication module.

[0007] 3. Data Processing and Analysis: The central monitoring server performs preliminary screening and analysis on the received data, and transmits abnormal data to the diagnostic analysis module for in-depth analysis.

[0008] 4. Fault Warning and Diagnosis: The diagnostic analysis module uses a preset anomaly model to identify and issue warnings for abnormal data, generating detailed fault reports and repair suggestions.

[0009] 5. Feedback and Processing: The user interface updates the ATM's operation and equipment status in real time and sends fault warning notifications (Email / WeChat) to relevant personnel. Maintenance personnel can perform remote operation or on-site repair based on the suggestions provided by the system.

Claims

1. A remote fault diagnosis and analysis method for financial ATMs, characterized in that, It includes data acquisition, communication, central monitoring server, diagnostic analysis and user interface, and combines the characteristics of ATM business processes in self-service banking systems to provide a general method for equipment status monitoring, fault diagnosis and remote maintenance.

2. The method according to claim 1, wherein each function is based on hardware, events, and network for fault prediction, analysis, and maintenance.

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