Vehicle Performance Data Visualization via Segmented Smart Tracker Processing
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Solution Overview
Problem
Existing systems face challenges in real-time tracking and visualization of vehicle performance data, leading to process latency and inaccurate data collection, which can result in missed opportunities for improvement and unreliable subsequent processes.
Innovation Solution
A system utilizing smart tracker devices connected to vehicles, transmitting data via Bluetooth, Wi-Fi, or LTE to a computing device or server, which processes and visualizes performance metrics using 2D and 3D display elements, allowing for real-time comparison and analysis of current and past performances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is visualized in real-time on a computing device, then performance tracking is improved, but process latency increases causing data to be neglected
Solution Approach 1:
The patent divides the data processing system into multiple segments: smart tracker devices at vehicles collect data locally, portable computing devices process and visualize data for immediate feedback, and remote servers perform comprehensive analysis. This segmentation allows real-time visualization at the portable device level while distributing heavier processing to remote servers, reducing latency for critical performance metrics.
Solution Approach 2:
The system performs preliminary data collection and processing at the smart tracker and portable computing device levels before data becomes stale. By pre-processing data locally and visualizing key metrics in real-time, the system ensures that performance feedback is delivered while still actionable, preventing data neglect due to latency.
2Measurement precision
If multiple vehicles are tracked simultaneously, then race observation accuracy is improved, but data collection reliability deteriorates due to anomalies
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors data quality from multiple vehicles and adjusts data collection and processing accordingly. The remote server analyzes data from multiple smart tracker devices, identifies anomalies through comparison and validation, and provides feedback to refine data collection processes, ensuring reliable multi-vehicle tracking.
Solution Approach 2:
The remote server acts as an intermediary that receives, validates, and processes data from multiple smart tracker devices before final analysis. This intermediary layer filters anomalies, standardizes data formats, and ensures data reliability across multiple vehicles, preventing single-point failures from compromising overall race observation accuracy.
3Speed
If data processing is performed locally on the computing device, then response speed is improved, but computational resource consumption increases
Solution Approach 1:
The patent segments computational tasks between portable computing devices and remote servers. The portable device handles time-critical visualization and basic processing to maintain response speed, while the remote server performs computationally intensive tasks like comprehensive data analysis, storage, and cross-vehicle comparisons. This segmentation optimizes both processing speed and resource consumption.
Solution Approach 2:
The remote server serves as an intermediary computational resource that offloads heavy processing tasks from the portable computing device. By transmitting raw or pre-processed data to the remote server for intensive computation and receiving back refined results, the system maintains fast local response while utilizing remote computational power for resource-intensive operations.
Data Source
AI summary
Methods, apparatus, systems, and computer-readable media are provided for processing vehicle-related data received from one or more smart tracker devices connected to one or more vehicles. The smart tracker devices can be connected to one or more sensors that can provide an output according to operating conditions of the vehicles. Data from the sensors can be transmitted from the smart tracker devices to a server device and/or a portable computing device for further processing. The portable computing device can include an application for visualizing the data in three dimensions. The application can include an interface that can provide a three-dimensional visualization of a track on which a vehicle is traveling, and map the data to a shape of the track in order to provide an indication of how the data changed as the vehicle traveled along the track.