Method for identifying slow transient variations and/or local spatial variations of a physical property in a set of data points

A non-transitory computer-readable storage medium comprising instructions that, when executed by a computer, cause the computer to perform a method for identifying slow transient variations and local spatial variations in vehicle related fluid dynamic conditions of a physical property in a set of data points comprising:

• obtaining a first set of data points related to a vehicle body surface, wherein the first set of data points is based on simulated data, wherein each of said data points is associated with at least i) a point of time, ii) a position in at least two dimensions of the vehicle body surface, and iii) a value representing a simulated fluid dynamic physical property comprising one or more of pressure of a fluid, pressure of a mixture of fluids, friction between a surface and a flowing fluid or mixture of fluids, and/or temperature, wherein the data points in each position are separated in time by a sampling time step, wherein the first set of data points represents a total time period;
• determining a temporal filtered value of the representation of the physical property for at least a portion of the first set of data points distributed over the total time period, wherein the temporal filtered value comprises an arithmetic average of a plurality of values of the representation of the physical property at a same position in the at least two dimensions of the vehicle body surface obtained over a filtering time period covering a plurality of data points, wherein the filtering time period has a time relation to the data point for which the determining is carried out and wherein the filtering time period is longer than an average sampling time step and shorter than the total time period represented by the first set of data points;
• combining at least a portion of the determined temporal filtered values of the representation of the physical property with the point of time and position of the corresponding data point in the first set of data points so as to obtain a second set of data points where each value representing the physical property is the temporal filtered value, and wherein the second set of data points comprises a moving average having values that are damped in time but not in position in the least two dimensions of the vehicle body surface;
• and
• identifying the slow transient variations and the local spatial variations in the vehicle related fluid dynamic conditions of the physical property in the second set of data points, the identifying comprising generating a video based on the second set of data points in time sequence over at least a portion of the total time period comprising setting selected colors to a selected value ranges of the representation of the physical property so that color changes indicate changes of the value of the physical property, wherein sequencing the generated video enables by observation of the color changes visual analysis of the slow transient variations and the local spatial variations in the vehicle related fluid dynamic conditions of the physical property.

A cloud computing system comprising:

• a processor;
• a memory device operatively coupled with the processor;
• and
• computer code stored in memory device, the computer code being executable by the processor to perform a method for identifying slow transient variations and local spatial variations in vehicle related fluid dynamic conditions of a physical property in a set of data points, the method comprising:
• obtaining a first set of data points related to a vehicle body surface, wherein the first set of data points is based on simulated data, wherein each of said data points is associated with at least i) a point of time, ii) a position in at least two dimensions of the vehicle body surface, and iii) a value representing a simulated fluid dynamic physical property comprising one or more of pressure of a fluid, pressure of a mixture of fluids, friction between a surface and a flowing fluid or mixture of fluids, and/or temperature, wherein the data points in each position are separated in time by a sampling time step, wherein the first set of data points represents a total time period;
• determining a temporal filtered value of the representation of the physical property for at least a portion of the first set of data points distributed over the total time period, wherein the temporal filtered value comprises an arithmetic average of a plurality of values of the representation of the physical property at a same position in the at least two dimensions of the vehicle body surface obtained over a filtering time period covering a plurality of data points, wherein the filtering time period has a time relation to the data point for which the determining is carried out and wherein the filtering time period is longer than an average sampling time step and shorter than the total time period represented by the first set of data points;
• combining at least a portion of the determined temporal filtered values of the representation of the physical property with the point of time and position of the corresponding data point in the first set of data points so as to obtain a second set of data points where each value representing the physical property is the temporal filtered value, and wherein the second set of data points comprises a moving average having values that are damped in time but not in position in the least two dimensions of the vehicle body surface;
• and
• identifying the slow transient variations and the local spatial variations in the vehicle related fluid dynamic conditions of the physical property in the second set of data points, the identifying comprising generating a video based on the second set of data points in time sequence over at least a portion of the total time period comprising setting selected colors to a selected value ranges of the representation of the physical property so that color changes indicate changes of the value of the physical property, wherein sequencing the generated video enables by observation of the color changes visual analysis of the slow transient variations and the local spatial variations in the vehicle related fluid dynamic conditions of the physical property.