System and method for the detection and digitalization of the state of fresh concrete using infrared thermography and mathematical trend functions
An infrared thermal imaging, concrete technology, applied in the field of measurement or testing, can solve problems such as lack of meaning in detection
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example 1
[0091] Example 1: Acquiring multiple thermal imaging images
[0092] exist figure 1 In , an infrared thermography image captured during testing of the method of the present invention is shown. In this case, samples of fresh concrete were provided. The section containing fresh concrete has been delimited by means of black polygons which were not part of the original image but which have been incorporated for a better understanding of the invention. Additionally, on the freshly poured concrete section, the metal structure surrounding the concrete sample was seen, as well as the general background of the test.
[0093]Multiple infrared thermography images of the concrete samples were acquired at regular intervals of 15 minutes.
example 2
[0094] Example 2: Obtaining temperature curves and temperature profiles as a function of time
[0095] Figure 8 with Figure 9 Graphs showing temperature as a function of time correspond to pixels containing concrete and pixels not containing concrete, respectively.
[0096] In the graph, marker "A" corresponds to the temperature point measured from the thermographic image, "B" corresponds to the temperature curve as a function of time fitted to the temperature profile, and "C" corresponds to the temperature of the ambient temperature. Changes, and "D" correspond to changes in ambient temperature over the time frame of interest.
[0097] Additionally, in both figures the value ΔT A and ΔT CD , value ΔT A and ΔT CD correspond to the maximum ambient temperature difference and the difference between the maximum temperature and the initial temperature in the temperature profile as a function of time over the time range of interest, respectively.
[0098] exist Figure 8 w...
example 3
[0099] Example 3: Determine if a pixel corresponds to concrete
[0100] exist Figure 8 case, see the value ΔT corresponding to the indicated value CD Greater than the value ΔT A , in the example ΔT A has been used as a threshold. Therefore, from Figure 8 The pixels of the temperature profile will be identified as containing fresh concrete.
[0101] Instead, in Figure 9 case, see the value of ΔT CD less than the value ΔT A . Therefore, from Figure 9 The pixels of the temperature profile will be identified as pixels that do not contain fresh concrete.
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