Vehicle Reminder System Context-Aware Triggering
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Solution Overview
Problem
Existing reminder systems in vehicles are limited to time and position-based reminders, failing to account for more complex vehicle operating situations, which restrict their effectiveness in providing situation-specific reminders.
Innovation Solution
A method and device that allow users to specify desired reminder situations linked to vehicle operating conditions, using a communication interface to enter and store reminders, and automatically trigger reminders when the vehicle's current situation matches the specified conditions, incorporating detection devices for real-time data and a comparator to ensure accurate timing and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If reminder systems use only time and position-based parameters, then the system complexity is low, but the adaptability to different vehicle operating situations is poor
Solution Approach 1:
The reminder system is enhanced to handle multiple types of parameters (time, position, vehicle state, environmental conditions) through a unified evaluation framework. The system can process both simple time-based reminders and complex situation-based reminders using the same core architecture, making it universally applicable across different reminder scenarios without requiring separate specialized systems for each parameter type.
Solution Approach 2:
The reminder evaluation process is divided into distinct modules: parameter acquisition module, parameter evaluation module, and reminder triggering module. Each module handles specific tasks independently - acquiring various parameters (time, position, vehicle state), evaluating whether conditions are met, and triggering appropriate reminders. This segmentation allows the system to manage complexity through modular design while maintaining high adaptability.
2Measurement precision
If the system monitors multiple vehicle parameters and operating conditions, then the relevance and accuracy of reminders is improved, but the loss of information processing time increases
Solution Approach 1:
The system performs preliminary evaluation of parameter conditions before full reminder processing is required. Detection devices continuously monitor vehicle parameters and pre-evaluate whether reminder conditions are approaching or met. This allows the system to prepare for potential reminder triggering in advance, reducing the actual processing time when a reminder needs to be delivered, while maintaining high accuracy through continuous monitoring.
3Reliability
If the reminder system integrates multiple detection devices and data sources, then the reliability of situation detection is improved, but the device complexity increases
Solution Approach 1:
Multiple detection devices and data sources are merged into a unified parameter acquisition and evaluation system. The system integrates data from various sensors (vehicle state sensors, position sensors, environmental sensors) and external sources (calendar applications, communication devices) through a common evaluation framework. This merging approach maintains high reliability by utilizing multiple data sources while managing complexity through integrated processing rather than separate independent systems.
Data Source
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AI summary
A device (10) for providing a memory in a vehicle (12) comprises a communication interface (14) for inputting a desired memory situation and a desired memory; a memory (20) for storing the desired memory situation and the desired memory; at least one acquisition device (26a-c) for acquiring an actual definition parameter of an operating situation of the vehicle (12); a determination device (28) for determining the operating situation taking into account the acquired actual definition parameter; a comparator (30) for comparing the operating situation with the desired memory situation; and a communication interface (32) for providing the memory depending on the result of the comparison.