Information processing device

Abstract

To provide an information processing apparatus capable of easily estimating whether or not asbestos is included in an existing building.SOLUTION: An information processing apparatus 10 comprises: an acquisition unit 11A acquiring point group data including reflection intensity information indicating reflection intensity of laser light obtained by performing three-dimensional photographing using the laser light of a wavelength including a wavelength band absorbed by asbestos with respect to an imaging object region that may include the asbestos in a building; an estimation unit 11B estimating whether or not asbestos is included in the imaging object region by using the reflection intensity information acquired by the acquisition unit 11A; and a presentation unit 11C indicating that an asbestos is included in any one of three-dimensional shapes indicated by the point group data acquired by the acquisition unit 11A when the estimation unit 11B estimates that asbestos is included.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to an information processing device. [Background technology]

[0002] Traditionally, 3D photography in the construction industry using 3D scanners (hereinafter also referred to as "3D scanners") has been conducted outdoors to photograph the building framework, exterior, and equipment, just like in the civil engineering field. In addition, 3D photography has also been conducted semi-outdoors (rooftops hidden by privacy walls, dry areas, pilotis, etc.) and indoors to photograph the building framework, interior, and equipment.

[0003] The point cloud data acquired through 3D photography using this 3D scanner is used to check the on-site and current situation using a personal computer, etc.

[0004] As a technique for utilizing point cloud data obtained by such a 3D scanner, Patent Document 1 discloses a device for analyzing objects including buildings, architectural environments, and / or environmental areas.

[0005] The device comprises imaging means for detecting image data points of the object and assigning means for assigning spatial coordinates to each of the image data points to obtain an object data point, and determining means for determining at least a material property of the object based on the object data points, and wherein at least spectral library data is used for said determining, the spectral library data including a set of material spectral properties corresponding to physical, compositional, chemical and / or biological material properties. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Special Publication No. 2020-507776 Summary of the Invention [Problem to be solved by the invention]

[0007] Incidentally, in some conventional buildings, asbestos may be sprayed onto the ceiling, walls, floors, etc., or building materials containing asbestos may be used, for the purpose of improving the heat retention, insulation, and fire resistance of the building. For this reason, there is a demand for a technology that can easily estimate whether or not an existing building contains asbestos.

[0008] However, when the technology described in Patent Document 1 is used to estimate the presence or absence of asbestos, the target object is analyzed using the material spectrum characteristics, so there is a problem in that it is not always possible to easily estimate whether or not a building contains asbestos.

[0009] The present disclosure has been made in consideration of the above circumstances, and aims to provide an information processing device that can easily estimate whether or not an existing building contains asbestos. [Means for solving the problem]

[0010] The information processing device according to the present invention as set forth in claim 1 includes an acquisition unit that acquires point cloud data including reflection intensity information indicating the reflection intensity of laser light obtained by 3D imaging of an imaging target area in a building that may contain asbestos using laser light having a wavelength including a wavelength band absorbed by the asbestos, an estimation unit that estimates whether the imaging target area contains the asbestos using the reflection intensity information acquired by the acquisition unit, and a presentation unit that presents that the asbestos is contained somewhere in the 3D shape indicated by the point cloud data acquired by the acquisition unit when it is estimated by the estimation unit that the asbestos is contained. The estimation unit further derives an estimate of the thickness of the asbestos by using the reflection intensity indicated by the reflection intensity information, and the presentation unit further presents an image indicating a distribution state of the thickness of the asbestos estimated by the estimation unit. .

[0011] According to the information processing device of the present invention as described in claim 1, a region to be photographed that may contain asbestos in a building is photographed in 3D using laser light of a wavelength that includes the wavelength band absorbed by the asbestos, and point cloud data including reflection intensity information indicating the reflection intensity of the laser light is obtained.The acquired reflection intensity information is used to estimate whether or not the region to be photographed contains asbestos, and if it is estimated that asbestos is contained, it is possible to easily estimate whether or not an existing building contains asbestos by presenting that asbestos is contained somewhere in the 3D shape indicated by the point cloud data.

[0012] The information processing device of the present invention as described in claim 2 is the information processing device as described in claim 1, wherein, when the estimation unit estimates that the asbestos is contained, the presentation unit performs the presentation by displaying on a display unit which part of the three-dimensional shape indicated by the point cloud data acquired by the acquisition unit contains the asbestos.

[0013] According to the information processing device of the present invention as described in claim 2, when it is estimated that asbestos is contained, the display unit displays which parts of the three-dimensional shape represented by the point cloud data contain the asbestos, making it easy to understand the three-dimensional shape that contains the asbestos.

[0014] An information processing device according to the present invention as set forth in claim 3 is the information processing device as set forth in claim 2, wherein the presentation unit changes the method of display by the display unit depending on the amount of asbestos.

[0015] According to the information processing device of the present invention as set forth in claim 3, the method of display by the display unit is changed depending on the amount of asbestos, making it easier to grasp the three-dimensional shape containing asbestos.

[0016] The information processing device according to the present invention as set forth in claim 4 is the information processing device as set forth in any one of claims 1 to 3, The acquisition unit,The laser light for acquiring the coordinate information of the point cloud data and the laser light for detecting the asbestos have different wavelengths. The point cloud data is acquired using a 3D scanner that emits two types of laser light. It is something.

[0017] According to the information processing device of the present invention as set forth in claim 4, by using different wavelengths for the laser light for acquiring coordinate information of point cloud data and the laser light for detecting asbestos, it is possible to improve the detection accuracy of each of the coordinate information and asbestos compared to a case in which the laser light for acquiring coordinate information and the laser light for detecting asbestos are laser light of a common wavelength. An information processing device according to the present invention as set forth in claim 5 is the information processing device as set forth in claim 3, in which the amount of asbestos is a thickness of the asbestos. An information processing device according to the present invention as set forth in claim 6 is the information processing device as set forth in claim 1, wherein the estimation section further estimates the type of the asbestos by using an infrared absorption spectrum. Effect of the Invention

[0018] As described above, according to the present invention, it is possible to easily estimate whether or not an existing building contains asbestos. [Brief description of the drawings]

[0019] [Figure 1] 1 is a block diagram showing an example of a hardware configuration of an information processing system according to an embodiment. [Diagram 2] FIG. 1 is a perspective view showing an example of the configuration of a 3D scanner according to an embodiment. [Diagram 3] FIG. 2 is a block diagram showing an example of a functional configuration of the information processing device according to the embodiment. [Figure 4] FIG. 4 is a schematic diagram illustrating an example of a configuration of a scan information database according to the embodiment. [Diagram 5] FIG. 2 is a schematic diagram showing an example of a configuration of an asbestos information database according to the embodiment. [Figure 6] FIG. 2 is a side view showing an example of a state of 3D imaging by the 3D scanner according to the embodiment. [Figure 7] 10 is a flowchart illustrating an example of information processing according to the embodiment. [Figure 8] FIG. 4 is a front view showing an example of a first presentation screen according to the embodiment. [Figure 9] 11 is a front view showing an example of a second presentation screen according to the embodiment. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0021] First, the configuration of an information processing system 90 according to the present embodiment will be described with reference to Figs. 1 to 3. Fig. 1 is a block diagram showing an example of a hardware configuration of the information processing system 90 according to the present embodiment. Fig. 2 is a perspective view showing an example of a configuration of a 3D scanner 50 according to the present embodiment. Fig. 3 is a block diagram showing an example of a functional configuration of an information processing device 10 according to the present embodiment.

[0022] 1, an information processing system 90 according to the present embodiment includes an information processing device 10 and a 3D scanner 50. Examples of the information processing device 10 include general-purpose or dedicated information processing devices such as personal computers and server computers.

[0023] The information processing device 10 according to this embodiment includes a CPU (Central Processing Unit) 11, a memory 12 as a temporary storage area, a non-volatile storage unit 13, an input unit 14 such as a keyboard and a mouse, a display unit 15 such as a liquid crystal display, a medium reading and writing device (R / W) 16, and a communication interface (I / F) unit 18. The CPU 11, the memory 12, the storage unit 13, the input unit 14, the display unit 15, the medium reading and writing device 16, and the communication interface (I / F) unit 18 are connected to each other via a bus B. The medium reading and writing device 16 reads information written in a recording medium 17 and writes information to the recording medium 17.

[0024] The storage unit 13 is realized by a hard disk drive (HDD), a solid state drive (SSD), a flash memory, or the like. An information processing program 13A is stored in the storage unit 13 as a storage medium. The information processing program 13A is stored in the storage unit 13 by setting a recording medium 17, on which the information processing program 13A is written, in the medium reading and writing device 16, and the medium reading and writing device 16 reading the information processing program 13A from the recording medium 17. The CPU 11 reads the information processing program 13A from the storage unit 13, expands it in the memory 12, and sequentially executes the processes of the information processing program 13A.

[0025] Furthermore, a scan information database 13B and an asbestos information database 13C are stored in the storage unit 13. The scan information database 13B and the asbestos information database 13C will be described in detail later.

[0026] 1, the 3D scanner 50 according to this embodiment includes a scanner body 52 and a storage unit 58. Although not shown, the 3D scanner 50 according to this embodiment also includes a motor for changing the shooting direction of the scanner body 52 when performing 3D shooting with the scanner body 52, a control unit for controlling the operation of each unit such as the motor and the scanner body 52, etc.

[0027] 2, the 3D scanner 50 according to this embodiment has a scanner body 52 provided on the top of a tripod leg 60, and the scanner body 52 is capable of changing the shooting direction by driving the above-mentioned motor at the top of the leg 60. It goes without saying that the leg 60 is not limited to a tripod.

[0028] The 3D scanner 50 according to the present embodiment is a so-called time-of-flight type in which a laser beam is emitted from the scanner body 52, a distance is calculated from the time it takes for the laser beam to be reflected by the object and returned, and a laser beam emission angle is calculated from the moving direction of the scanner body 52, and a three-dimensional position is specified using these calculated values. However, the method of specifying a three-dimensional position by the 3D scanner 50 is not limited to this. For example, a so-called phase-shift type in which a laser beam modulated in a plurality of ways is emitted from the scanner body 52, a distance to the object is calculated based on the phase difference of the diffuse reflection component that hits the object and returns, and a three-dimensional position is specified based on the distance and the emission angle of the laser beam may be applied as the 3D scanner 50.

[0029] In addition, in the 3D scanner 50 according to the present embodiment, in addition to coordinate information indicating the coordinates of the three-dimensional position of each point, reflection intensity information indicating the reflection intensity of the laser light of the corresponding point and color information indicating the color of the corresponding point are acquired as point cloud data. Then, in the 3D scanner 50 according to the present embodiment, the acquired coordinate information, reflection intensity information, and color information are associated with each point in the point cloud data and stored in the storage unit 58. However, this is not limited to the above embodiment, and for example, only the coordinate information and the reflection intensity information may be stored as point cloud data.

[0030] The information processing system 90 according to the present embodiment uses reflection intensity information obtained by three-dimensional photography using the 3D scanner 50 in order to detect the presence or absence of asbestos in the ceiling, wall, floor, etc. of a building and the amount of asbestos. For this reason, the 3D scanner 50 according to the present embodiment emits two types of laser light, namely, a normal laser light in a first wavelength band suitable for obtaining the above-mentioned coordinate information, and a laser light in a second wavelength band suitable for detecting asbestos (hereinafter referred to as "laser light for asbestos detection"). In addition, in the present embodiment, a wavelength band including any one of the wavelengths of 1400 nm, 2300 nm, and 2700 nm, which are wavelengths absorbed by asbestos, is applied as the second wavelength band, but is not limited thereto. For example, a wavelength band including at least two of these wavelengths may be applied as the second wavelength band. In addition, in this embodiment, an infrared laser element is applied as an element that emits laser light for asbestos detection, but this is not limited to this, and a laser element other than an infrared laser element may be applied as an element that emits laser light for asbestos detection.

[0031] In the information processing system 90 according to the present embodiment, the various information stored in the storage unit 58 of the 3D scanner 50 is transmitted to the information processing device 10 by wired communication, but the present invention is not limited thereto. For example, the various information stored in the storage unit 58 of the 3D scanner 50 may be transmitted to the information processing device 10 by wireless communication. In addition, the storage unit 58 may be a portable storage medium that is detachable from the 3D scanner 50, and the various information stored in the storage unit 58 of the 3D scanner 50 may be transferred to the information processing device 10 via the storage medium. Furthermore, the various information stored in the storage unit 58 of the 3D scanner 50 is not limited to being directly transmitted to the information processing device 10, and may be transmitted to the information processing device 10 via a cloud server, for example.

[0032] Next, a functional configuration of the information processing device 10 according to the present embodiment will be described with reference to Fig. 3. As shown in Fig. 3, the information processing device 10 according to the present embodiment includes an acquisition unit 11A, an estimation unit 11B, and a presentation unit 11C. The CPU 11 of the information processing device 10 executes an information processing program 13A to function as the acquisition unit 11A, the estimation unit 11B, and the presentation unit 11C.

[0033] The acquisition unit 11A in this embodiment acquires point cloud data including reflection intensity information indicating the reflection intensity of the laser light obtained by 3D imaging of a target area in a building that may contain asbestos (hereinafter simply referred to as the "target area") using asbestos detection laser light from a 3D scanner 50.

[0034] The estimation unit 11B according to the present embodiment estimates whether or not asbestos is contained in the photographing target area by using the reflection intensity information acquired by the acquisition unit 11A. The estimation unit 11B according to the present embodiment performs the above estimation by determining whether or not there is an area in the photographing target area where the reflection intensity indicated by the reflection intensity information is equal to or less than a predetermined threshold value TH.

[0035] In this embodiment, as the threshold value TH, a value obtained in advance by an experiment, a computer simulation, or the like is applied as a value at which the intensity of the asbestos detection laser light can be considered to be absorbed by asbestos when the reflection intensity is equal to or less than the threshold value TH. However, this is not limited to this embodiment. For example, the threshold value TH may be set in advance by the user depending on the asbestos detection accuracy required for the information processing system 90, the distance between the imaging target area and the 3D scanner 50 during 3D imaging, the intensity of the asbestos detection laser light when it is emitted, and the like.

[0036] In addition, in this embodiment, as described above, the estimation is performed by determining whether or not there is an area in the shooting target area where the reflection intensity indicated by the reflection intensity information is equal to or lower than a predetermined threshold value TH, but the present invention is not limited to this. For example, the estimation may be performed by determining whether or not there is an area in the shooting target area where the reflection intensity is smaller than other areas by a predetermined threshold value or more.

[0037] Then, when it is estimated by the estimation unit 11B that asbestos is contained, the presentation unit 11C according to the present embodiment presents that asbestos is contained somewhere in the three-dimensional shape indicated by the point cloud data acquired by the acquisition unit 11A. Here, when it is estimated by the estimation unit 11B that asbestos is contained, the presentation unit 11C according to the present embodiment performs the above presentation by displaying, by the display unit 15, which part of the three-dimensional shape indicated by the point cloud data acquired by the acquisition unit 11A contains asbestos. In particular, the presentation unit 11C according to the present embodiment changes the display method by the display unit 15 according to the amount of asbestos. Note that the presentation method by the presentation unit 11C is not limited to the presentation method by display by the display unit. For example, the presentation by the presentation unit 11C may be a presentation by voice by a voice generating device such as a speaker, a presentation by printing by an image forming device such as a printer, or the like.

[0038] Next, the scan information database 13B according to the present embodiment will be described with reference to Fig. 4. Fig. 4 is a schematic diagram showing an example of the configuration of the scan information database 13B according to the present embodiment.

[0039] As shown in FIG. 4, the scan information database 13B according to this embodiment stores information on coordinates, reflection intensity, and color in association with each other.

[0040] The coordinates are the above-mentioned coordinate information indicating the coordinates of the positions of the points obtained by three-dimensional imaging using the 3D scanner 50, the reflection intensity is the above-mentioned reflection intensity information at the corresponding points, and the color is the above-mentioned color information at the corresponding points. That is, the scan information database 13B according to this embodiment registers point cloud data of the coordinate information, reflection intensity information, and color information obtained by three-dimensional imaging using the 3D scanner 50.

[0041] Next, the asbestos information database 13C according to this embodiment will be described with reference to Fig. 5. Fig. 5 is a schematic diagram showing an example of the configuration of the asbestos information database 13C according to this embodiment.

[0042] As shown in FIG. 5, the asbestos information database 13C according to this embodiment stores information on coordinates, asbestos attributes, and estimated thickness in association with each other.

[0043] The coordinates are the same information as the coordinates in the scan information database 13B, and the asbestos attribute is information indicating whether or not asbestos is estimated to be contained at the position of the point indicated by the corresponding coordinates. The estimated thickness is information indicating an estimated value of the thickness of the asbestos when it is estimated that asbestos is contained at the position of the point indicated by the corresponding coordinates. Note that, as shown in FIG. 5, in this embodiment, when it is estimated that asbestos is contained, information indicating "present" is applied as the asbestos attribute, and when it is estimated that asbestos is not contained, information indicating "absent" is applied, but it goes without saying that the present invention is not limited to this.

[0044] Next, the operation of the information processing system 90 according to this embodiment will be described with reference to Fig. 6 to Fig. 9. Fig. 6 is a side view showing an example of a state of 3D imaging by the 3D scanner 50 according to this embodiment. Fig. 7 is a flowchart showing an example of information processing according to this embodiment.

[0045] As an example, as shown in FIG. 6, a photographer who performs 3D photography installs a 3D scanner 50 at a position where 3D photography of a photography target area 82 that may contain asbestos 84 can be performed inside a target building (hereinafter referred to as a "target building") 80 can be performed, and performs 3D photography. In order to avoid confusion, the following describes a case where the photography target area 82 can be covered by only one 3D photography using the 3D scanner 50, but this is not limited to this. If the photography target area 82 cannot be covered by only one 3D photography using the 3D scanner 50, the 3D photography may be performed multiple times, and the point cloud data obtained by each 3D photography may be synthesized.

[0046] By this three-dimensional imaging, the above-mentioned coordinate information, reflection intensity information, and color information in the imaging target area 82 are obtained and temporarily stored in the storage unit 58.

[0047] Thereafter, the photographer performs an operation to transmit each piece of information, that is, the coordinate information, the reflection intensity information, and the color information, stored in the 3D scanner 50, to the information processing device 10.

[0048] When the above-mentioned information is received from the 3D scanner 50, the information processing device 10 registers the received information in the scan information database 13B. By registering the information, the scan information database 13B shown in FIG. 4 is constructed as an example.

[0049] In this state, the user of the information processing device 10 inputs an instruction to start execution of the information processing program 13A via the input unit 14. In response to this instruction input, the CPU 11 of the information processing device 10 executes the information processing program 13A, thereby executing the information processing shown in FIG.

[0050] In step 100 of FIG. 7, the CPU 11 reads all information (hereinafter referred to as "scan information") from the scan information database 13B.

[0051] In step 102, the CPU 11 determines whether the reflection intensity indicated by the reflection intensity information of any one point (hereinafter referred to as the "processing target point") included in the read scan information is equal to or less than the above-mentioned threshold value TH, and if the determination is positive, proceeds to step 104.

[0052] In step 104, the CPU 11 stores information indicating "present" as the asbestos attribute corresponding to the processing target point together with the corresponding coordinate information in the asbestos information database 13C. In step 106, the CPU 11 derives an estimated value of the thickness of asbestos at the processing target point using the reflection intensity indicated by the reflection intensity information of the processing target point. In this embodiment, a conversion table indicating the correspondence between the reflection intensity value and the estimated value of the asbestos thickness is created in advance and stored in the storage unit 13, and the estimated value is derived by referring to the conversion table, but this is not limited to this. For example, an arithmetic expression capable of calculating the estimated value of the asbestos thickness from the reflection intensity value may be created in advance and stored in the storage unit 13, and the estimated value may be derived using the arithmetic expression.

[0053] In step 108, the CPU 11 stores the derived estimated value of the thickness of asbestos in the asbestos information database 13C as the above-mentioned estimated thickness of the processing target point, and then proceeds to step 112.

[0054] On the other hand, if the judgment in step 102 is negative, the process proceeds to step 110, where the CPU 11 stores information indicating “none” as the asbestos attribute corresponding to the processing target point together with the corresponding coordinate information in the asbestos information database 13C, and then proceeds to step 112.

[0055] In step 112, CPU 11 judges whether the processing of steps 102 to 110 has been completed for all points included in the scan information, and if the judgment is negative, the process returns to step 102, whereas if the judgment is positive, the process proceeds to step 114. When repeatedly executing the processing of steps 102 to 112, CPU 11 sets points in the scan information that have not been subject to processing up to that point as processing subject points. Through the above processing, an asbestos information database 13C shown in Fig. 5 as an example is constructed.

[0056] In step 114, the CPU 11 reads all information (hereinafter referred to as "asbestos information") from the asbestos information database 13C.

[0057] In step 116, CPU 11 determines whether the asbestos attribute contained in the read asbestos information contains information indicating "present", and if the determination is positive, it proceeds to step 118, assuming that there is a high probability that an area containing asbestos is present in the photographed area 82.

[0058] In step 118, CPU 11 controls display unit 15 to display a first presentation screen having a predetermined configuration, and in step 120, CPU 11 waits until predetermined information is input.

[0059] FIG. 8 shows an example of the first presentation screen according to this embodiment. As shown in FIG. 8, the first presentation screen according to this embodiment displays a message indicating that asbestos may be contained, and also displays an image 15A showing the photographing target area 82. The image 15A is displayed so that the thicker the estimated thickness is, the higher the density is, using the coordinate information in the read scan information and the information indicating the estimated thickness of asbestos in the read asbestos information. Therefore, by referring to the first presentation screen, the user of the information processing device 10 can visually and intuitively grasp not only that asbestos may be contained in the photographing target area 82, but also the distribution state of the estimated asbestos thickness. The screen configuration of the first presentation screen is not limited to that shown in FIG. 8, and may be, for example, a form in which only the above message is displayed, or a form in which the estimated thickness of asbestos is displayed in characters.

[0060] 8 is displayed on display unit 15, the user understands the displayed content and then designates end button 15E via input unit 14. When end button 15E is designated by the user, a positive determination is made in step 120, and this information processing ends.

[0061] On the other hand, if the determination in step 116 is negative, the CPU 11 determines that it is unlikely that an area containing asbestos exists in the imaging target area 82, and proceeds to step 122.

[0062] In step 122, CPU 11 controls display unit 15 to display a second presentation screen having a predetermined configuration, and in step 124, CPU 11 waits until predetermined information is input.

[0063] An example of the second presentation screen according to this embodiment is shown in Fig. 9. As shown in Fig. 9, the second presentation screen according to this embodiment displays a message indicating that there is a high possibility that asbestos is not contained. When the second presentation screen shown in Fig. 9 is displayed on the display unit 15 as an example, the user, after understanding the displayed content, designates the end button 15E via the input unit 14. When the end button 15E is designated by the user, a positive determination is made in step 124, and this information processing ends.

[0064] As described above, the information processing device 10 according to the present embodiment includes an acquisition unit 11A that acquires point cloud data including reflection intensity information indicating the reflection intensity of the laser light obtained by three-dimensionally capturing an area of ​​a building that may contain asbestos using a laser light having a wavelength including a wavelength band absorbed by the asbestos, an estimation unit 11B that estimates whether or not the area of ​​the building contains asbestos using the reflection intensity information acquired by the acquisition unit 11A, and a presentation unit 11C that presents that asbestos is contained somewhere in the three-dimensional shape indicated by the point cloud data acquired by the acquisition unit 11A when it is estimated by the estimation unit 11B that asbestos is contained. Therefore, it is possible to easily estimate whether or not asbestos is contained in an existing building.

[0065] Furthermore, according to the information processing device 10 of this embodiment, when it is estimated that asbestos is contained, which part of the three-dimensional shape represented by the point cloud data contains the asbestos is displayed by the display unit 15. Therefore, the three-dimensional shape containing the asbestos can be easily grasped.

[0066] Furthermore, according to the information processing device 10 of this embodiment, the display method by the display unit 15 is changed depending on the amount of asbestos. Therefore, the three-dimensional shape containing asbestos can be more easily grasped.

[0067] Furthermore, according to the information processing device 10 of this embodiment, the laser light for acquiring the coordinate information of the point cloud data and the laser light for detecting asbestos have different wavelengths. Therefore, compared to the case where the laser light for acquiring the coordinate information and the laser light for detecting asbestos have the same wavelength, it is possible to improve the detection accuracy of each of the coordinate information and asbestos.

[0068] In the above embodiment, the laser element for detecting asbestos is different from the laser element for obtaining coordinate information, but the present invention is not limited to this. For example, the laser element for detecting asbestos and the laser element for obtaining coordinate information may be a single laser element. In this case, the area for providing the laser element can be narrowed compared to the above embodiment, and the 3D scanner can be made smaller.

[0069] In the above embodiment, a case where an estimated value of the thickness of asbestos is derived when it is estimated that asbestos is present has been described, but the present invention is not limited to this. For example, when it is estimated that asbestos is present, the type of asbestos may be estimated using the infrared absorption spectrum in that area. Examples of the types of asbestos that can be estimated in this embodiment include chrysotile, amosite, crocidolite, tremolite, actinolite, and anthophyllite.

[0070] In the above embodiment, as examples of the form of estimating the thickness of asbestos, a form of deriving using a conversion table showing the correspondence between the value of reflection intensity and the estimated value of the thickness of asbestos, and a form of deriving using an arithmetic expression that can calculate the estimated value of the thickness of asbestos from the value of reflection intensity have been described, but the present invention is not limited to these. For example, the dimensions before spraying of asbestos may be stored as data in advance from drawings of the target building at the time of construction or completion, and the thickness of asbestos may be estimated by comparing the data with the scan information. Also, the surface position of the area where asbestos is estimated to exist may be obtained from the coordinate information, and the area where the asbestos is relatively thick may be estimated from the degree of unevenness of the surface position.

[0071] In addition, although not specifically mentioned in the above embodiment, the results of the estimation of the presence or absence of asbestos and the results of the estimation of the thickness of asbestos may be reflected in various drawings such as floor plans, roof plans, and development plans of the target building, as well as in reports, etc.

[0072] In the above embodiment, for example, the hardware structure of the processing unit that executes each process of the acquisition unit 11A, the estimation unit 11B, and the presentation unit 11C may be the various processors shown below. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as a processing unit, as well as a programmable logic device (PLD), which is a processor whose circuit configuration can be changed after manufacture such as an FPGA (Field-Programmable Gate Array), a dedicated electric circuit, which is a processor having a circuit configuration designed specifically for executing a specific process such as an ASIC (Application Specific Integrated Circuit), etc.

[0073] The processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA).The processing unit may also be configured with a single processor.

[0074] As an example of configuring the processing unit with one processor, first, there is a form in which one processor is configured with a combination of one or more CPUs and software, as represented by computers such as client and server, and this processor functions as the processing unit. Second, there is a form in which a processor is used that realizes the functions of the entire system including the processing unit with one IC (Integrated Circuit) chip, as represented by System On Chip (SoC), etc. In this way, the processing unit is configured using one or more of the above various processors as a hardware structure.

[0075] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. [Explanation of symbols]

[0076] 10. Information processing device 11 CPU 11A Acquisition Department 11B Estimation part 11C Presentation section 12. Memory 13 Storage section 13A Information Processing Program 13B Scan Information Database 13C Asbestos Information Database 14 Input section 15 Display 15A Image 15E Exit button 16 Media Read / Write Device 17 Recording media 18 Communication I / F section 50 3D Scanner 52 Scanner body 58 Memory section 60 Legs 80 Target Building 82 Shooting area 84 Asbestos 90 Information Processing Systems

Claims

1. an acquisition unit that acquires point cloud data including reflection intensity information indicating the reflection intensity of a laser light obtained by three-dimensionally capturing an area of ​​a building that may contain asbestos using a laser light having a wavelength that includes a wavelength band absorbed by the asbestos; an estimation unit that estimates whether or not the asbestos is contained in the imaging target area using the reflection intensity information acquired by the acquisition unit; a presentation unit that presents, when the estimation unit estimates that the asbestos is contained, that the asbestos is contained somewhere in the three-dimensional shape represented by the point cloud data acquired by the acquisition unit; and Equipped with The estimation unit further derives an estimate of a thickness of the asbestos using the reflection intensity indicated by the reflection intensity information, The presentation unit further presents an image showing a distribution state of the thickness of the asbestos estimated by the estimation unit. Information processing device.

2. When the estimation unit estimates that the asbestos is contained, the presentation unit performs the presentation by displaying, on a display unit, which part of the three-dimensional shape indicated by the point cloud data acquired by the acquisition unit contains the asbestos. The information processing device according to claim 1 .

3. The presentation unit changes the display method by the display unit depending on the amount of asbestos. The information processing device according to claim 2 .

4. The acquisition unit acquires the point cloud data using a three-dimensional scanner that emits two types of laser light having different wavelengths, a laser light for acquiring coordinate information of the point cloud data and a laser light for detecting the asbestos.

4. The information processing device according to claim 1.

5. The amount of asbestos is the thickness of the asbestos, The information processing device according to claim 3 .

6. The estimation unit further estimates the type of the asbestos using an infrared absorption spectrum. The information processing device according to claim 1 .

Images