Digital Context-Aware Data Collection for Travel Routes
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Solution Overview
Problem
Existing methods for monitoring travel routes, such as railways, are inefficient and resource-intensive, especially in remote areas, as they often rely on manual visual inspections.
Innovation Solution
An integrated Digital Context-Aware (DCA) system that uses contextual information from mechanical sensors, video/imaging technology, and wireless interfaces to continuously monitor travel route conditions, automatically initiating and halting data collection based on predefined location components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If manual visual inspections are used to monitor travel routes, then resource allocation can be reduced, but monitoring efficiency and detection capability deteriorate
Solution Approach 1:
The patent replaces manual visual inspection with an automated sensor-based monitoring system. Sensors mounted on moving vehicles automatically detect and collect data about travel route conditions, eliminating the need for manual inspection while significantly improving monitoring efficiency and productivity.
Solution Approach 2:
The monitoring system is designed to operate autonomously without requiring manual intervention. The sensors automatically detect conditions, the system self-manages data collection and transmission, and the entire process runs without human resource allocation, achieving both reduced resource usage and improved efficiency.
2Reliability
If continuous monitoring is implemented across entire travel routes, then detection capability improves, but resource consumption and system complexity increase
Solution Approach 1:
Instead of continuous monitoring, the system uses periodic monitoring triggered by moving vehicles passing through the area. Data collection occurs in periodic intervals as vehicles traverse the route, providing sufficient detection capability while minimizing resource consumption compared to continuous monitoring.
Solution Approach 2:
The system implements partial monitoring by utilizing existing moving vehicles (excessive action relative to minimum needed) to carry sensors and perform detection. This approach achieves comprehensive coverage without requiring dedicated monitoring infrastructure, balancing detection capability with resource efficiency.
3Device complexity
If manual inspection methods are used, then system complexity is reduced, but monitoring coverage and timeliness deteriorate
Solution Approach 1:
The system uses multi-functional moving vehicles that serve both their primary transportation purpose and the secondary function of carrying monitoring sensors. This universal approach enables timely monitoring coverage without adding dedicated complex monitoring infrastructure, maintaining relatively simple system architecture while improving timeliness.
Solution Approach 2:
The moving vehicle acts as an intermediary carrier between the monitoring system and the travel route. It transports sensors to various locations, enabling timely data collection across the entire route without requiring direct fixed infrastructure at every monitoring point, thus reducing overall system complexity.
Data Source
AI summary
Examples relate to digital context aware (DCA) data collection. In some examples, a DCA start location component is positioned at a first location along a travel route, and a DCA end location component is positioned at a second location along the travel route. In response to using a wireless interface to detect the DCA start location component, data collection of measurements by a sensor are initiated. In response to using the wireless interface to detect the DCA end location component, the data collection by the sensor is halted.