Train Brake Sensor Mesh for Real-Time Component Inspection
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Solution Overview
Problem
Manual inspection of train components is time-consuming, error-prone, and not applicable to varying train compositions, requiring sequential inspection by personnel and limited to when the train is not in use.
Innovation Solution
A system comprising sensor nodes forming a wireless mesh network to collect data, a gateway for data relay, and a server for determining component parameters, enabling automated and reliable inspections across varying train compositions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used, then personnel can determine component parameters, but the inspection is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated sensor-based system. Sensor nodes collect component data automatically, and a server processes this data to determine component parameters, eliminating the need for personnel to physically inspect each component while maintaining measurement accuracy
Solution Approach 2:
The inspection system performs self-service by automatically collecting, transmitting, and processing component data without human intervention. The sensor nodes autonomously monitor components and the server autonomously analyzes the data to determine component parameters, making the inspection process independent of personnel availability
2Measurement precision
If manual inspection is used, then component parameters can be determined, but the process is error-prone due to reliance on personnel skills
Solution Approach 1:
The patent replaces human-based inspection with an automated digital system that uses sensor nodes for data collection and a server for analysis. This substitution eliminates variability in personnel skills and provides consistent, reliable component parameter determination through standardized automated processes
Solution Approach 2:
The system implements feedback mechanisms where sensor data is continuously collected, transmitted to the server, and processed to provide real-time component status information. This feedback loop ensures reliable and repeatable measurements by continuously monitoring and comparing component parameters against established criteria
3Measurement precision
If manual inspection is used, then component parameters can be determined, but inspection can only be carried out when the train is not in use
Solution Approach 1:
The patent enables continuous inspection by deploying sensor nodes that operate throughout the train's operational cycle. The system collects component data continuously whether the train is moving or stationary, eliminating downtime requirements and maintaining productive use of the train while simultaneously monitoring component health
Solution Approach 2:
The automated sensor system replaces manual inspection methods that require train shutdown. The electronic sensing and data processing system can operate during train movement, enabling inspections to continue without interrupting train service and thereby maintaining productivity
4Measurement precision
If manual inspection is used, then component parameters can be determined, but the personnel must walk alongside the train and inspect components sequentially
Solution Approach 1:
The patent segments the inspection system into distributed sensor nodes, each responsible for monitoring specific components. These independent sensor units are positioned throughout the train and simultaneously collect data from their respective locations, replacing the sequential inspection process while maintaining comprehensive component coverage
Solution Approach 2:
The system transitions from one-dimensional sequential inspection along the train to a multi-dimensional parallel monitoring approach. Multiple sensor nodes operate simultaneously at different locations along the train, collecting data in parallel across spatial dimensions, thereby reducing inspection time while maintaining thoroughness
5Measurement precision
If manual inspection is used, then component parameters can be determined for a specific train composition, but the inspection cannot be applied to different train compositions
Solution Approach 1:
The patent creates a universal inspection system where sensor nodes and the server can adapt to different train compositions. The system collects data from various component types across different configurations and uses the server's processing capabilities to determine parameters applicable to multiple train compositions, making the inspection method versatile and composition-independent
Data Source
Figure 1~2
AI summary
The present invention generally relates to a digital train brake testing and train preparation assistant. Therein, a system, method, and computer program for determining a component parameter of a train are provided. The system may comprise a plurality of sensor nodes being mounted to a respective part of the train, wherein the plurality of sensor nodes form a sensor network on a rail car, wherein a plurality of railcars form a wireless mesh network, and wherein each of the plurality of sensor nodes is configured to collect data of the component of the respective part of the train and to publish the collected data into the wireless mesh network. The system may further comprise a server system configured to receive the published data of the wireless mesh network and to determine the component parameter of the train based on the received data. Furthermore, a user device for displaying a component parameter determined by a system, method, and computer program for determining a component parameter of a train is provided.