Axle Accelerometer Road Event Diagnostics
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Solution Overview
Problem
Commercial vehicles do not effectively share road and vehicle condition data in real-time, limiting the ability to plan efficient routes, reduce fuel costs, and prioritize road maintenance.
Innovation Solution
A vehicle axle system equipped with tri-axis accelerometers and data processors that analyze acceleration data to determine road events, classify road conditions, and transmit this information to a cloud-based server for further analysis and sharing with stakeholders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If road condition data is collected and shared in real-time among vehicles and stakeholders, then route planning efficiency and road maintenance prioritization improve, but data collection infrastructure complexity and processing requirements increase
Solution Approach 1:
The system enables vehicles to automatically collect, process, and share road condition data without requiring centralized data collection infrastructure. Each vehicle acts as an independent data source, using its own sensors (accelerometers, GPS) to generate and transmit road event information, thereby eliminating complex centralized collection systems while improving route planning efficiency through real-time data availability
Solution Approach 2:
The patent creates a multi-functional platform that serves multiple stakeholders (vehicle operators, road authorities, logistics companies) simultaneously through a single data sharing system. The cloud-based server consolidates data from diverse sources and provides customized information to different user groups, achieving high productivity for route planning while avoiding the need for separate specialized systems for each stakeholder
2Reliability
If detailed road event data is collected and analyzed, then road maintenance scheduling and vehicle safety improve, but data processing requirements and energy consumption increase
Solution Approach 1:
The system extracts only the most critical road event parameters (acceleration spikes, GPS coordinates, event timing) from the raw sensor data, filtering out redundant information. This selective data extraction maintains vehicle safety through accurate road condition awareness while minimizing energy consumption by processing only essential data points rather than continuous raw sensor streams
Solution Approach 2:
The patent implements event-triggered data collection where sensors activate and transmit data only when road events (potholes, bumps, curves) are detected, rather than continuous monitoring. This partial action approach ensures reliable safety information is captured during critical moments while dramatically reducing overall energy consumption during normal driving conditions
3Loss of energy
If real-time data sharing is implemented across the network, then fuel costs and wear and tear are reduced, but communication infrastructure requirements and data transmission overhead increase
Solution Approach 1:
The system transmits compressed and summarized road event data (key parameters and coordinates) rather than complete raw sensor datasets. This copying approach with data reduction maintains the essential information needed for fuel-efficient routing decisions while minimizing transmission overhead and network bandwidth requirements
Solution Approach 2:
Data is pre-processed, filtered, and formatted on the vehicle端 before transmission, with only validated and relevant road event information sent to the cloud server and other vehicles. This preliminary data preparation reduces transmission overhead by eliminating redundant data, while still providing timely information for fuel cost reduction through optimized route planning
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time sharing of road and vehicle condition data, allowing for informed route planning, reduced maintenance costs, and improved road maintenance scheduling, while enhancing safety and reducing wear and tear on vehicles.
Implementation Method 1
Attached one or more of said housings is one or more tri-axis accelerometers
Data Source
Figure 1
Figure 2~2C
Figure 3~3A
AI summary
A method of providing road and vehicle diagnostics. The method includes providing a vehicle axle system having a first axle half shaft housing, a second axle half shaft housing and a differential housing. Attached one or more of said housings is one or more tri-axis accelerometers. In communication with the accelerometers is one or more data processors operably configured to receive and analyze data from the accelerometers. An occurrence of one or more road events is determined by one or more spikes in the Z-direction of said data collected from said accelerometers. A depth of the road event is determined by a magnitude of said positive and negative changes in acceleration of said spike in said Z-direction and a length of road event is determined by a span of said one or more spikes in said Z-direction. Once the road event is identified the time and geographic location of the road event is identified.