Black Ice Simulation System Using Controlled Temperature and Humidity
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Solution Overview
Problem
There is a lack of understanding and effective countermeasures for the formation of black ice on roads, which poses a significant risk to traffic safety due to the limited research on the atmospheric conditions that lead to its formation.
Innovation Solution
A method and device are developed to simulate black ice generation on roads by controlling ambient temperature and humidity conditions, using a road specimen and a controlling device to replicate scenarios that lead to black ice formation, and transmitting alarms to drivers when conditions are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a black ice generation predicting model utilizing detailed meteorological data is developed, then the accuracy of black ice prediction is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the complex meteorological prediction problem into distinct controllable components: ambient temperature control, road surface temperature control, and humidity control. Each component is managed separately through dedicated simulation variables and control modules, reducing overall system complexity while maintaining prediction accuracy.
Solution Approach 2:
The patent creates a simplified copy of real road conditions through a road specimen in a controlled simulation environment. This copy reproduces the essential thermal and moisture characteristics of actual roads without requiring complex field measurements, enabling accurate prediction modeling with reduced system complexity.
2Measurement precision
If the ambient atmosphere temperature is lowered to simulate black ice conditions, then the simulation accuracy is improved, but the energy consumption increases
Solution Approach 1:
The system performs preliminary temperature adjustments to bring the ambient atmosphere and road specimen to target temperatures before initiating the black ice formation simulation. This preliminary action ensures that the simulation starts from the correct thermal state, improving accuracy while avoiding continuous energy-intensive temperature maintenance during the simulation process.
Solution Approach 2:
The patent dynamically adjusts temperature parameters based on the simulation stage and requirements. By changing temperature setpoints strategically rather than maintaining constant low temperatures, the system achieves accurate black ice simulation conditions while reducing overall energy consumption through optimized thermal management.
3Measurement precision
If the humidity of the ambient atmosphere is increased to simulate black ice conditions, then the simulation accuracy is improved, but the time required for the simulation increases
Solution Approach 1:
The system pre-adjusts the humidity of the ambient atmosphere to the required level before initiating the black ice formation process. This preliminary humidity setup ensures that moisture is available when needed for ice formation, improving simulation accuracy while minimizing the time required during the actual simulation execution.
Solution Approach 2:
The patent maintains continuous humidity control throughout the simulation process to ensure consistent moisture availability on the road specimen surface. This continuous action prevents simulation delays caused by humidity fluctuations, achieving both high accuracy and efficient timing by keeping the system in the optimal state throughout the experiment.
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
This approach enables the development of a predictive model for black ice formation, providing advance warnings to drivers and road managers to prevent accidents and allows for accurate experimental results by simulating black ice conditions in a controlled environment.
Implementation Method 1
performing a process of changing the ambient atmosphere to be in a (1-2)-nd state by referring to at least one of a (1-1)-st simulation variable corresponding to a temperature of the ambient atmosphere
Implementation Method 2
performing a process of changing the road specimen to be in a (2-2)-nd state by referring to at least one of a (2-1)-st simulation variable corresponding to a temperature of the road specimen
Implementation Method 3
performing a process of applying a triggering action corresponding to a relationship among at least some of the (1-1)-st simulation variable, the (1-2)-nd simulation variable, the (2-1)-st simulation variable, and the (2-2)-nd simulation variable to at least part of the ambient atmosphere and the road specimen
Data Source
AI summary
A method, controlling device, and system for simulating a generation of black ice on a road including steps of: (a) in response to an ambient atmosphere being determined as in a (1-1)-st state, changing the ambient atmosphere to be in a (1-2)-nd state by referring to a (1-1)-st simulation variable corresponding to a temperature of the ambient atmosphere and a (1-2)-nd simulation variable corresponding to a humidity of the ambient atmosphere; and (ii) in response to a road specimen being determined as in a (2-1)-st state, changing the road specimen to be in a (2-2)-nd state by referring to a (2-1)-st simulation variable corresponding to a temperature of the road specimen and a (2-2)-nd simulation variable corresponding to a residual precipitation; (b) applying a triggering action; and (c) determining whether the black ice is generated on the road specimen.