Transport Performance Level Revision via Blockchain Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current transportation systems lack an efficient method to dynamically assess and improve the performance and utilization of vehicles based on real-time data, leading to suboptimal usage and maintenance decisions.
Innovation Solution
A system that utilizes sensors and blockchain technology to collect and analyze data on vehicle performance, behavior, and maintenance, dynamically revising performance levels and determining next uses based on current conditions, enabling informed decisions on maintenance, leasing, and resale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time data collection and dynamic performance assessment systems are implemented, then vehicle utilization and maintenance efficiency are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments vehicle performance assessment into multiple independent modules: sensor data collection module, blockchain data storage module, performance level determination module, and next use determination module. Each module operates independently but contributes to the overall system functionality, reducing complexity while maintaining comprehensive monitoring capabilities.
Solution Approach 2:
A blockchain-based intermediary layer is introduced to manage and secure the collection, storage, and sharing of vehicle performance data between various stakeholders (owners, lessees, maintenance providers). This intermediary automates data verification and performance level calculations, reducing the need for complex manual assessment processes.
2Ease of repair
If comprehensive vehicle performance data is collected and analyzed, then maintenance efficiency and resale value are improved, but data processing time and computational resources increase
Solution Approach 1:
The system continuously collects and stores vehicle performance data in real-time during normal operation, performing preliminary data processing and validation as data is generated. This preliminary action ensures that when maintenance events occur, the relevant performance data is already organized and ready for immediate analysis, eliminating the need for time-consuming data collection at the moment of maintenance.
Solution Approach 2:
The system implements continuous feedback loops where performance data is constantly monitored, analyzed, and used to adjust maintenance schedules and recommendations. The blockchain ledger provides immutable feedback on vehicle condition history, enabling maintenance providers to make informed decisions quickly without re-analyzing entire vehicle histories.
3Measurement precision
If dynamic performance level revision based on current use is implemented, then vehicle valuation accuracy is improved, but measurement precision requirements and system complexity increase
Solution Approach 1:
The system dynamically adjusts performance level parameters based on current vehicle condition data, usage patterns, and historical performance. Instead of using fixed valuation parameters, the system modifies parameters in real-time based on sensor inputs and blockchain-recorded events, improving accuracy while using standardized parameter adjustment rules that prevent excessive complexity.
Data Source
AI summary
An example operation includes one or more of obtaining, by a transport, data related to a performance of the transport, determining, by the transport, a performance level of the transport based on the obtained data, dynamically revising, by the transport, the performance level based on a current use of the transport, and determining, by the transport, a next use of the transport, based on the dynamically revised performance level.