Container Terminal Tractor Sensing for Real-Time Container Tracking
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Solution Overview
Problem
The challenge of efficiently tracking and managing shipping containers within railway yards, particularly in terms of maintaining their proper routing and ensuring safety protocols are followed, is exacerbated by the complexity of railway transit systems with numerous tracks and trains.
Innovation Solution
A control system comprising a server, terminal tractor with onboard sensors, geolocation devices, and wireless transceivers, along with machine learning models like CNN and RNN, is employed to generate and process container data, enabling precise tracking, classification, and automated management of containers and locomotives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tracking methods are used in railway yards with numerous tracks and trains, then operational flexibility is maintained, but tracking efficiency and accuracy deteriorate
Solution Approach 1:
The patent replaces manual mechanical tracking methods with an automated sensor-based detection system. Sensors mounted on railway cars automatically detect and report container presence, eliminating the need for manual tracking while significantly improving tracking efficiency and accuracy in complex railway yard environments
Solution Approach 2:
The system enables self-service tracking where railway cars and containers autonomously report their own status and location through onboard sensors and transceivers. This automated self-reporting mechanism improves tracking productivity without requiring external manual intervention, resolving the contradiction between efficiency and complexity
2Measurement precision
If automated sensor systems are deployed to track containers, then tracking precision is improved, but system complexity and implementation cost increase
Solution Approach 1:
The patent implements a universal sensor system where identical sensors and transceivers are deployed on all railway cars and containers. This multi-functional approach allows the same hardware to perform multiple tasks (detection, identification, tracking, reporting), improving measurement precision while managing system complexity through standardization
Solution Approach 2:
The tracking system is segmented into independent modular components: sensors on railway cars, sensors on containers, wireless transceivers, and a central server. This segmentation allows each component to be optimized independently for precision while reducing overall system complexity through modular deployment and maintenance
3Reliability
If real-time monitoring of all containers is implemented, then safety and routing accuracy are improved, but data processing requirements and operational complexity increase
Solution Approach 1:
The patent implements a feedback mechanism where sensors continuously monitor container status and location, report data to the central server, and receive routing instructions. This closed-loop feedback system ensures real-time safety compliance and accurate routing while managing operational complexity through automated decision-making algorithms at the server level
Solution Approach 2:
The central server acts as an intermediary between the distributed sensor network and the railway yard operations. It aggregates data from multiple sensors, processes routing decisions, and coordinates container movements, thereby improving safety and routing accuracy while reducing the operational complexity at the field level by centralizing control functions
Data Source
AI summary
A control system is for a container terminal with containers. The control system includes a server, and a terminal tractor operable within the container terminal. The terminal tractor comprises onboard tractor sensors configured to generate sensor data of at least some of the containers, a geolocation device configured to generate a geolocation value for the terminal tractor, a wireless transceiver, and a controller coupled to the onboard tractor sensors, the geolocation device, and the wireless transceiver. The controller is configured to transmit the sensor data and the geolocation value for the terminal tractor to the server. The server is in communication with the terminal tractor and is configured to generate a database associated with the sensor data, the database comprising, for each container, a container type value, a container logo image, and a vehicle classification value.