Road Survey Device Local Data Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data collection and transmission technologies for surveying road conditions are inefficient, requiring manual upload of large data sets, which is costly and labor-intensive, and often necessitates human intervention to connect devices to wireless networks for data transfer.
Innovation Solution
A device equipped with sensors, cameras, and computing capabilities that collects data and processes it locally, filtering out unnecessary information before transmitting only the essential data to a server, thereby reducing the burden on data storage and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If manual upload of large data sets is used, then data collection completeness is improved, but transmission cost and labor intensity increase
Solution Approach 1:
The patent extracts and transmits only the essential surveying data (such as defect information, road condition metrics) while filtering out unnecessary data locally. This selective extraction reduces the quantity of data transmitted to the server, lowering transmission costs while maintaining data collection completeness for critical information.
Solution Approach 2:
The system changes the parameter of data volume by applying local processing and filtering algorithms that reduce raw surveying data into condensed, essential information. This parameter transformation maintains the critical data elements needed for road maintenance decisions while dramatically reducing the overall data size for transmission.
2Quantity of substance
If manual upload of large data sets is used, then data collection completeness is improved, but labor intensity increases
Solution Approach 1:
The system implements self-service automation where the device automatically processes, filters, and uploads essential surveying data to the server without requiring manual human intervention. The automated data selection and transmission processes eliminate labor-intensive manual upload operations while ensuring complete collection and transmission of critical road survey information.
Solution Approach 2:
The system performs preliminary local processing and filtering of surveying data before transmission, automatically identifying and preparing only the essential data for upload. This preliminary action eliminates the need for manual data selection and preparation, reducing labor intensity while maintaining data completeness.
3Loss of information
If all collected data is transmitted to server, then data availability is improved, but server storage and processing burden increases
Solution Approach 1:
The patent extracts only the essential surveying data elements (such as defect locations, severity ratings, road condition measurements) from the complete raw dataset and transmits only these extracted essentials to the server. This ensures data availability for critical maintenance decisions while minimizing server storage burden by excluding redundant information.
Solution Approach 2:
The system applies partial action by transmitting a selective subset of collected data that contains all necessary information for road maintenance planning and execution. This partial transmission approach maintains sufficient data availability for operational needs while avoiding the excessive storage burden of transmitting complete raw datasets including redundant information.
Data Source
AI summary
System and methods for automated data collection and reporting while operating a vehicle on the road using a device. The device automatically determines when to collect, store, process and transmit data. Additionally, a system and method for further storing, transmitting, processing, organizing and accessing the information with respect to the collected data.