Vehicle Condition Monitoring via Sensor Data Comparison
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Solution Overview
Problem
Current methods for monitoring and reporting the condition of rented vehicles are inadequate, prone to human error, and lack comprehensive tracking, leading to disputes between users and service providers in the sharing economy.
Innovation Solution
A system utilizing sensors and a blockchain-based database to collect and analyze data on vehicle conditions, compare pre- and post-rental states, and determine user ratings for damages, with smart contracts managing permissions and compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and review of vehicle conditions is performed by users, then human judgment and flexibility are applied, but human error and disputes arise leading to incomplete and unreliable condition tracking
Solution Approach 1:
The patent replaces manual visual inspection and human judgment with automated sensor systems that objectively measure vehicle conditions. Sensors detect parameters such as location, acceleration, braking, and environmental conditions, substituting human mechanical assessment with automated electronic measurement to eliminate human error and improve reliability
Solution Approach 2:
The patent introduces a server as an intermediary that receives sensor data, compares pre-rental and post-rental conditions, and automatically determines damage. This intermediary system acts as a neutral third party that processes information objectively, preventing disputes between users and vehicle owners
2Measurement precision
If comprehensive sensor monitoring is implemented to track vehicle conditions, then accurate condition data is collected, but system complexity and implementation cost increase
Solution Approach 1:
The patent employs multi-functional sensors that simultaneously track multiple vehicle parameters including location, acceleration, braking events, and environmental conditions. This universal monitoring approach consolidates what would otherwise require multiple separate systems into a unified sensor network, managing complexity while maintaining comprehensive monitoring
Solution Approach 2:
The system automatically performs condition assessment and damage determination without requiring manual intervention. The server autonomously compares sensor data from pre-rental and post-rental periods, identifies changes, and determines damage, allowing the system to self-manage the monitoring process
3Reliability
If automated sensor-based condition assessment is used, then objectivity and accuracy improve, but the extent of automation increases system complexity
Solution Approach 1:
The patent divides the automation system into distinct functional modules: sensor data collection, data transmission to server, condition comparison logic, and damage determination. This segmentation allows each component to perform its specific function independently, managing the complexity of automation through modular architecture
Data Source
AI summary
An example operation may include one or more of identifying a new condition of a transport during a transport event based on sensor data, retrieving a transport condition profile, comparing the new condition to an initial condition of the transport, stored prior to the transport event, in the transport condition profile, and determining the transport is damaged based on the comparing.