Mobile Surface Condition Monitoring With Position-Based Dry Calibration
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Solution Overview
Problem
Mobile road condition monitoring systems face challenges in achieving accurate measurements due to the lack of known dry reference levels for each location, resulting in suboptimal measurement results compared to stationary installations.
Innovation Solution
A mobile apparatus and method that utilize a normalized surface condition monitoring sensor attached to a vehicle, equipped with a processing unit and memory to process surface data based on real-time position, receiving and processing dry references from a node associated with position information, enabling continuous calibration and improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile measurements are used to monitor road conditions, then measurement coverage and mobility are improved, but measurement precision deteriorates due to lack of location-specific dry references
Solution Approach 1:
The system performs preliminary measurements to collect surface data and determine dry reference values for different locations before actual road condition monitoring. These pre-determined location-specific dry references are stored and used during mobile measurements to ensure high precision without requiring stationary installation
Solution Approach 2:
The system creates a digital map copying the dry reference characteristics of different road locations. This digital representation stores spectral information and dry reference values for various positions, allowing the mobile sensor to retrieve and apply the appropriate reference data for each measured location, achieving stationary-level accuracy while maintaining mobility
2Measurement precision
If stationary sensors are used with automatic dry calibration, then measurement precision is improved, but device mobility deteriorates
Solution Approach 1:
The invention extracts the dry reference determination function from stationary installations and integrates it into a mobile measurement system. The mobile apparatus independently performs spectral measurements, determines dry references for its current location using the digital map, and conducts road condition monitoring without requiring fixed installation or external calibration infrastructure
Solution Approach 2:
The mobile measurement apparatus performs multiple functions: it conducts preliminary surface measurements to build the digital map, stores location-specific dry reference data, retrieves appropriate references during monitoring, and performs actual road condition measurements. This multi-functionality consolidates both calibration and measurement capabilities in a single mobile system, eliminating the need for stationary sensors
3Device complexity
If generic dry reference values are used for mobile measurements, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The system dynamically adapts the dry reference values based on the current measurement location. Instead of using fixed generic references, the mobile apparatus continuously determines its position, retrieves location-specific dry references from the digital map, and applies the appropriate references for each measurement point. This dynamic adaptation maintains system simplicity while significantly improving measurement precision
Solution Approach 2:
The system changes the parameter of dry reference values from static generic values to dynamic location-specific values. By modifying which reference parameters are used based on geographic position and road characteristics, the system achieves high measurement accuracy without increasing operational complexity, as the parameter selection is automatically managed through position-based retrieval
Data Source
AI summary
According to an example aspect of the present invention, there is provided an apparatus comprising a normalized surface condition monitoring sensor, and a processing unit comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to process surface data based on a real time position of the apparatus to obtain calibration of the surface condition monitoring sensor, wherein values of the surface data originate from at least one normalized surface condition monitoring system, and wherein at least some of the values of the surface data are associated with position information.