## 3 Discussion of the Results  
Most of the studies for the evaluation of the security risk in construction works analyzing 3D dimensions, the shape that the spaces occupy, and the location of the objects are focused on surveillance camera systems [57,58] The advantage of these systems is that they can remotely recognize the work methods that are being used in real time on construction sites. On the other hand, the use of terrestrial laser scanning techniques or photogrammetry via drones is very limited, perhaps because of the specialization of the operators in the recording of information and its subsequent processing. However, there is no doubt that, through the analysis methodologies developed in this work, very interesting data can be inferred about the use and management of security systems. Thus, the TLS record allows analyzing the physical environment at a given moment and in 3D, with which there is a clear difference with respect to surveillance cameras since the study context is an environment of axes (x, y, z), thus being able to reproduce and measure the physical characteristics at each moment and place that we determine with millimeter precision. Figure 17: (**a**) The complete model and (**b**) the face model are represented. Analysis of the comparison between the STL\({}_{\text{iA}}\) + TLS\({}_{\text{iE}}\) point cloud in the wall sector. Result of applying the Cloud-to-Mesh (C2M) algorithm. Color map of the distribution of distances. On the color scale, red represents the maximum distance expressed in meters. Figure 18: Histogram of Figure 17. Histogram units: meters (X axis) and number of points (Y axis). In addition, the data obtained from spatial analysis are very suitable to be inserted into a building digital information model (BIM), taking into account that BIM platforms manage processes that have to do with time, cost, resources, and building maintenance. Thus, in an initial part of this work, the distance between the cloud of points of the column reinforcements and the faces of the rectangular prism that makes up the reinforced concrete solid (pillar 1) is evaluated using the CloudCompare ICP algorithm. This analysis conforms the dispersion in centimeters between the face of the reinforcement and the faces of the solid and supposes knowing the deviation that the reinforcement presents before its concreting and quantifying the construction errors regarding the separation of reinforcements and also the degree of inclination of these respects the verticality of the element. This inclination could carry the risk of armor displacement in areas of operation. However, most of the sets of points that have a blue color in Figure 5 are due to the coincidence of the plane of elevation +0.00 and therefore are points that would not be representative of the sample. In Figure 6, it can be determined that there is a parabola of point increments in green, a total of 4750 associated points, and that it has a maximum of 0.036 m, which corresponds to the fact that most of the reinforcements are 3.6 cm away. Average spacing of reinforcements. This fact eliminates the risk of reinforcements with great torsion that could endanger the close coverage of workers. With respect to the wall, these results differ somewhat from those established for the pillar. The first consequence is the fact that two parabolas appear in the graph with a greater number of points when we compare the reinforcement with the face of the formwork. This analysis can determine whether there was any deformation during the concrete pouring process, as well as the degree of risk or displacement. From the observations of the histogram in Figure 8, it can be determined that the two maximum points of the graph correspond to the position of the extrados and intrados reinforcements with respect to the face of the wall taken as the comparison surface. Within the analysis of the sampling patterns, a 3D model is generated that can be inserted into the BIM.