Vehicle Notification System Using Geofencing and Self-Learning
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Solution Overview
Problem
Existing methods for notifying vehicle owners about vehicle states, such as forgotten items or unlocked doors, lack flexibility and often result in unnecessary notifications, disturbing users.
Innovation Solution
A method that automatically transmits notifications to a mobile terminal based on geographical area, predetermined time, or user-defined conditions, allowing for self-learning configurations to prevent unnecessary alerts, using a device with a communication unit and central computer unit to monitor vehicle states and detect user exit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If notifications are transmitted for all vehicle states, then users are informed about all critical states, but users receive unnecessary notifications that cause disturbance
Solution Approach 1:
The patent applies parameter changes by introducing multiple conditional parameters (geographical area, time, vehicle state type) that dynamically control notification transmission. The system evaluates these parameters to determine whether a notification should be sent, transforming a binary notification system into a multi-dimensional conditional system that adapts to different contexts.
Solution Approach 2:
The system implements self-service through self-learning functionality where the vehicle system automatically learns user behavior patterns and preferences over time. The control unit analyzes historical data to identify when notifications are needed and when they would be unnecessary, enabling the system to serve itself by automatically optimizing its notification strategy without requiring manual user configuration.
2Object-affected harmful factors
If the system learns user behavior patterns, then unnecessary notifications are reduced, but the system complexity increases
Solution Approach 1:
The control unit is designed with multi-functionality, serving both as a basic notification transmitter and a learning system. The same control unit handles routine notification tasks while also performing complex learning and pattern recognition functions, eliminating the need for separate dedicated learning hardware or software modules.
Solution Approach 2:
The patent merges the notification control functionality with the learning functionality into a single integrated system. The control unit combines real-time notification decision-making with historical data analysis and pattern learning, creating a unified system that reduces complexity compared to having separate independent systems for each function.
Data Source
AI summary
A method for automatically transmitting a notification about the occurrence of at least one vehicle state of a vehicle to at least one mobile terminal of a user involves performing or preventing the automatic transmission of the notification depending on a geographical area, a predetermined time, a condition predetermined by the user, and/or learned condition.