Work Vehicle Abnormality Detection with Position-Integrated Alerts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing work vehicles lack effective notification systems for abnormalities detected during traveling operations, often failing to provide timely and accurate location-based alerts, leading to delayed or inappropriate responses to potential issues.
Innovation Solution
A work vehicle equipped with an own position calculation unit, traveling work state detection sensors, early and actual abnormality determination units, notification units, and an abnormality information generation unit, which classify and notify abnormalities externally, combining them with the vehicle's position for precise location-based alerts and automatic recovery processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single notification system is used for all abnormalities, then the device complexity is reduced, but the ability to provide timely and accurate notifications is deteriorated
Solution Approach 1:
The notification system is segmented into multiple independent notification units (first notification unit for early abnormalities, second notification unit for actual abnormalities). Each unit handles specific types of abnormalities independently, allowing the system to provide accurate notifications for different abnormality stages without requiring a single complex unified system.
2Measurement precision
If abnormality detection thresholds are set to be rigorous, then the measurement precision of abnormality detection is improved, but the loss of time due to false alarms increases
Solution Approach 1:
The system performs preliminary detection of early abnormalities using a first condition before confirming actual abnormalities. This preliminary action allows the system to identify potential issues early and monitor them closely, reducing the need for rigorous immediate confirmation and thereby decreasing false alarms and associated time losses.
Solution Approach 2:
The abnormality detection system dynamically adjusts its response based on the stage of abnormality detected. Early abnormalities trigger different notification behaviors than confirmed actual abnormalities, allowing the system to optimize detection precision at each stage while minimizing false alarms through progressive confirmation.
3Loss of information
If location information is not integrated with abnormality notifications, then the device complexity is reduced, but the loss of information regarding abnormality location increases
Solution Approach 1:
The system merges abnormality detection information with position information from the own position calculation unit into unified abnormality information. This combination ensures that location data is automatically integrated with abnormality notifications without requiring separate complex location tracking systems, as the position data is already available from the vehicle's navigation system.
4Reliability
If multiple determination units are used for early and actual abnormalities, then the reliability of abnormality classification is improved, but the device complexity increases
Solution Approach 1:
The determination system is segmented into separate determination units for early abnormalities and actual abnormalities. Each unit is responsible for specific classification tasks, improving reliability through specialized detection while keeping each individual unit relatively simple. The segmentation allows clear division of responsibilities without requiring one monolithic complex determination system.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present disclosure refers to a work vehicle including an own position calculation unit that calculates an own position, a group of travelling work state detection sensors that outputs detected signals indicating a travelling work state, an early abnormality determination unit that determines, as an early abnormality, an abnormality at an early stage, based on the detected signals and a first condition, an actual abnormality determination unit that determines, as an actual abnormality, the abnormality at an actual stage, based on the detected signals and a second condition that is more rigorous than the first condition, a first notification unit that externally notifies the early abnormality, a second notification unit that externally notifies the actual abnormality, and an abnormality information generation unit that generates abnormality information combined with the determined abnormality and an own position at which the abnormality has occurred.