Vehicle Sensor Data Range Selection for Targeted Uploads
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Solution Overview
Problem
Current systems that download and store all data generated by vehicles waste storage space and bandwidth, as much of the data collected is not valuable or desirable, leading to inefficient data processing and analysis.
Innovation Solution
A request-based data collection system that selectively gathers and transmits only relevant sensor data by presenting data requests to vehicles equipped with sensors, allowing for the identification and deletion of unnecessary data, thereby creating a targeted data set responsive to specific criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor data is downloaded and stored from vehicles, then complete data availability is achieved, but storage space and bandwidth are wasted
Solution Approach 1:
The system performs preliminary actions by sending data requests to vehicles before data collection, specifying exactly what sensor data is needed. This allows the vehicle to pre-filter and collect only the requested data types, preventing unnecessary data transmission and storage while ensuring complete availability of needed information.
Solution Approach 2:
The system extracts only the necessary sensor data from the total data stream by using targeted data requests. The request specifies particular sensor types and time ranges, allowing the system to separate and collect only valuable data while leaving unnecessary data behind, thus reducing bandwidth consumption without sacrificing data completeness for needed parameters.
2Loss of information
If all sensor data is downloaded and stored from vehicles, then complete data availability is achieved, but storage space is wasted
Solution Approach 1:
The system performs preliminary actions by sending data requests to vehicles before data collection, specifying exactly what sensor data is needed. This allows the vehicle to pre-filter and collect only the requested data types, preventing unnecessary data transmission and storage while ensuring complete availability of needed information.
Solution Approach 2:
The system extracts only the necessary sensor data from the total data stream by using targeted data requests. The request specifies particular sensor types and time ranges, allowing the system to separate and collect only valuable data while leaving unnecessary data behind, thus reducing bandwidth consumption without sacrificing data completeness for needed parameters.
3Loss of information
If all sensor data is processed and analyzed, then comprehensive analysis is achieved, but processing time is wasted
Solution Approach 1:
The system performs preliminary actions by sending data requests to vehicles before data collection, specifying exactly what sensor data is needed. This allows the vehicle to pre-filter and collect only the requested data types, preventing unnecessary data transmission and storage while ensuring complete availability of needed information.
Solution Approach 2:
The system extracts only the necessary sensor data from the total data stream by using targeted data requests. The request specifies particular sensor types and time ranges, allowing the system to separate and collect only valuable data while leaving unnecessary data behind, thus reducing bandwidth consumption without sacrificing data completeness for needed parameters.
Data Source
AI summary
Methods and systems for coordinated data collection through one or more vehicles. The methods and systems can include presenting a data request for sensor data to one or more vehicles, receiving data samples from the vehicles, selecting a target data sample from the data samples, creating a selection range using the target data sample, transmitting the selection range to the vehicles to create a selected data set, identifying excluded data for deletion, and receiving the selected data set from the vehicles to respond to the data request.