Railway Diagnostic System Centralized Data Aggregation
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Solution Overview
Problem
Current railway diagnostic systems lack a centralized method for aggregating and displaying diagnostic information from distributed components, making it difficult to monitor and analyze data across vast geographical areas effectively.
Innovation Solution
A railway diagnostic system comprising field objects, controllers, a diagnostic server, and client devices that gather, store, and provide access to diagnostic data, allowing for centralized data aggregation and analysis, and enabling real-time monitoring and prediction of equipment failures through machine learning techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If diagnostic data is collected from distributed field objects across vast geographical areas, then the quantity of diagnostic information increases, but the complexity of data aggregation and access increases
Solution Approach 1:
The patent merges data from multiple distributed controllers into a single centralized database. The diagnostic server consolidates diagnostic information from numerous field objects across different geographical locations, allowing all data to be stored and accessed in one location rather than requiring complex distributed data management across multiple systems
Solution Approach 2:
The diagnostic server acts as an intermediary between the distributed controllers and the client devices. It receives data from controllers, stores it in a database, and provides access to clients, thereby simplifying the overall system architecture by introducing a central mediating component that handles data aggregation and access
2Loss of information
If centralized data aggregation is implemented, then data analysis capability improves, but system complexity increases
Solution Approach 1:
The system is segmented into distinct functional components: field objects that generate data, controllers that collect data locally, a diagnostic server that aggregates and stores data centrally, and client devices that access and analyze data. This segmentation allows each component to perform its specific function independently, improving data analysis capability while managing system complexity through clear separation of responsibilities
3Reliability
If real-time monitoring of distributed equipment is enabled, then operational reliability improves, but the need for on-site inspections increases
Solution Approach 1:
The system implements continuous feedback by collecting diagnostic data from field objects in real-time, storing it centrally, and making it accessible for immediate analysis. This ongoing feedback loop enables remote monitoring of equipment status, improving operational reliability by allowing timely detection and response to issues without requiring physical on-site inspections
Data Source
AI summary
A railway diagnostic system includes a plurality of field objects, a plurality of controllers associated with field objects and being structured to gather data from the field objects and to communicate the data gathered from the field objects, a diagnostic server structured to receive the data gathered from the field objects from the controller, to store the data gathered from the field objects in a database, and to provide access to the database, and a client structured to use the diagnostic server to access the database.