Smart Component Sensor Proactive Vehicle Maintenance
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Solution Overview
Problem
Current vehicle maintenance practices often rely on waiting for parts to fail, leading to unexpected repairs and increased costs. There is a need for systems and methods that can proactively monitor vehicle components and facilitate timely maintenance.
Innovation Solution
The use of smart components equipped with sensors that communicate characterization information, such as wear percentage, to a mobile device and a network-based marketplace. This information is processed to generate maintenance messages, synchronize data, and initiate electronic commerce activities for part replacement and repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle owners wait for parts to fail before maintenance, then repair costs and unexpected failures increase, but implementing proactive monitoring systems adds device complexity and initial costs
Solution Approach 1:
The patent applies preliminary action by implementing proactive monitoring of component conditions before failure occurs. Sensors continuously measure parameters like wear percentage, temperature, and vibration, enabling maintenance to be scheduled in advance based on actual component state rather than waiting for failure. This resolves the contradiction by improving reliability through early detection while managing complexity through targeted monitoring of critical parameters.
Solution Approach 2:
The system implements feedback loops where sensor data from vehicle components is continuously transmitted to monitoring systems, which then provide feedback about component health status. This feedback mechanism enables dynamic adjustment of maintenance schedules based on real-time conditions, improving reliability while optimizing resource allocation to manage system complexity efficiently.
2Duration of action of moving object
If proactive maintenance monitoring is implemented, then maintenance scheduling is optimized and component lifespan is extended, but data processing and communication requirements increase
Solution Approach 1:
The patent applies partial action by monitoring only the most critical parameters that directly impact component lifespan, such as wear percentage and temperature, rather than continuously monitoring all possible parameters. This selective monitoring approach extends component lifespan through targeted insights while minimizing energy consumption for data processing and transmission.
Solution Approach 2:
The system dynamically adjusts monitoring parameters and sampling rates based on component criticality and current operating conditions. For example, monitoring frequency increases when components approach critical thresholds, and decreases when conditions are stable, thereby extending component lifespan through adaptive monitoring while optimizing energy usage.
3Loss of time
If real-time component characterization is communicated to mobile devices and marketplaces, then electronic commerce activities are initiated for timely part replacement, but communication and network requirements increase
Solution Approach 1:
The patent extracts only the essential maintenance-critical information from sensor data, such as wear percentage thresholds and component status, for transmission to mobile devices and marketplace systems. This extraction of key information enables timely initiation of electronic commerce activities for part replacement while minimizing data transmission requirements by excluding redundant or non-critical data.
Solution Approach 2:
The system performs preliminary processing and filtering of sensor data before transmission, preparing maintenance alerts and component status information in advance for efficient communication. This preliminary action reduces the volume of data that needs to be transmitted over networks while ensuring that critical maintenance information is delivered promptly to initiate timely part replacement.
Data Source
AI summary
Systems, methods, and machine-readable hardware to facilitate a diagnosis of a failure of a first part in a vehicle. The system receives a maintenance message, over a network at a network-based marketplace. The maintenance message includes characterization information received from a component in the vehicle. The component includes a sensor that senses the first part to generate the characterization information. The system identifies sub-system processing rules based on the maintenance message and executes the sub-system processing rules. The sub-system processing rules cause a smart component engine to perform operations comprising identifying a sub-system and scanning the sub-system responsive to identifying an increase in a likelihood of failure of the first part based on the characterization information. The first sub-system includes a plurality of parts and the scanning includes scanning the plurality of parts to retrieve characterization information from the plurality of parts to identify original equipment authentication information.