Building cushion construction progress identification method, device and system and storage medium
By using aerial orthographs and image recognition models, the completion progress of the building cushion is automatically identified and calculated, and the problem of low manual reporting accuracy is solved, achieving more efficient and reliable progress feedback.
Patent Information
- Application Number
- CN202411253479.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-06
- Publication Date
- 2025-02-14
AI Technical Summary
In the prior art, the completion progress of the cushion layer is manually filled out forms and photographed, resulting in low accuracy and prone to false alarms and concealment.
Aerial orthographs and trained image recognition models are used to automatically identify the completion status of the cushion layer of the target building. By determining the proportion of the cushion layer area, the cushion layer construction progress is calculated and feedback.
It improves the accuracy and work efficiency of the cushion completion progress, reduces data distortion caused by human factors, and enhances the authenticity and reliability of progress feedback.
Smart Images
Figure CN119445356A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of construction engineering processing technology, and in particular to a method, device, system and storage medium for identifying the progress of cushion construction of a building. Background Art
[0002] In the process of civil building foundation construction, pouring concrete cushion is an important part of foundation engineering. Concrete cushion is the middle layer between reinforced concrete foundation and foundation soil. Its functions are: first, to isolate the bottom reinforcement from the soil and prevent the steel bars from being eroded; second, to achieve flatness, balance the foundation force and reduce the impact of uneven settlement; third, to facilitate the laying out and supporting the foundation formwork, and reduce the possible errors when tying the steel bars. After the cushion is poured, the construction of the subsequent basement related processes can be officially started. Therefore, whether the cushion is poured on schedule has a direct impact on the progress of the underground part of the project.
[0003] The existing practice is to report the progress of the cushion layer completion by manually filling out forms and taking photos. However, manual operations are relatively complicated and prone to misreporting and concealment, resulting in low accuracy in the reported progress of the cushion layer completion. Summary of the invention
[0004] The present application provides a method, device, system and storage medium for identifying the progress of cushion construction of a building, which can improve work efficiency and the accuracy of cushion completion progress.
[0005] In a first aspect, the present application provides a method for identifying the progress of cushion construction of a building, the method comprising:
[0006] Obtain aerial orthophotos;
[0007] Using the trained image recognition model to recognize the aerial orthophoto, obtaining a cushion layer recognition image of the target building;
[0008] Determining the completed cushion area in the cushion recognition image;
[0009] Based on the preset outline area of the target building and the completed cushion area, the cushion area ratio is obtained;
[0010] Based on the cushion layer area ratio, the cushion layer construction progress result of the target building is obtained.
[0011] A further technical solution is that the cushion construction progress result of the target building is obtained based on the cushion area ratio, including:
[0012] If the cushion layer area ratio is less than the first preset value, it means that the cushion layer construction progress result of the target building is not started;
[0013] If the cushion layer area ratio is greater than the first preset value and less than the second preset value, the cushion layer construction progress result of the target building is determined to be under construction;
[0014] If the cushion layer area ratio is greater than the second preset value, it means that the cushion layer construction progress result of the target building has been completed.
[0015] A further technical solution is that after obtaining the cushion layer recognition image of the target building, the method further includes:
[0016] Determine a cushion layer area and a non-cushion layer area in the cushion layer recognition image;
[0017] Filling the cushion layer area and the non-cushion layer area in the cushion layer recognition image respectively based on a preset color to obtain a filled image;
[0018] The step of determining the completed cushion layer area in the cushion layer recognition image comprises:
[0019] Based on the fill picture, the completed cushion area is determined.
[0020] A further technical solution is that the cushion layer area and the non-cushion layer area in the cushion layer recognition image are filled respectively based on a preset color, including:
[0021] Filling the cushion layer area with a first color;
[0022] The non-cushion layer area is filled with a second color.
[0023] A further technical solution is that the step of obtaining an aerial orthophoto includes:
[0024] Obtain original aerial images;
[0025] Reconstructing a three-dimensional real scene model from the original aerial image to obtain a three-dimensional model;
[0026] The three-dimensional model is converted to obtain an aerial orthophoto.
[0027] A further technical solution is that after obtaining the aerial orthophoto, the method further comprises:
[0028] Cutting the aerial photography orthophoto using preset target building outline information to obtain a cut orthophoto;
[0029] The method of using the trained image recognition model to recognize the aerial orthophoto to obtain a cushion layer recognition image of the target building includes:
[0030] The cut orthophoto is recognized using a trained image recognition model to obtain a cushion layer recognition image of the target building.
[0031] A further technical solution is that the trained image recognition model is trained in the following manner:
[0032] Get the aerial model image to be processed;
[0033] Based on the preset cushion features, the cushion area is marked in the aerial model image to be processed to obtain a marked aerial model image;
[0034] The labeled aerial model images are input into the image recognition model for training to obtain a trained image recognition model.
[0035] In a second aspect, the present application provides a device for identifying the progress of cushion layer construction of a building, and the device for identifying the progress of cushion layer construction of a building includes a unit for executing any of the above methods.
[0036] In a third aspect, the present application provides a system for identifying the progress of cushion construction of a building. The system for identifying the progress of cushion construction of a building includes a memory and a processor. The memory is used to store program data, and the processor is used to execute program data to implement the steps of any of the above methods.
[0037] In a fourth aspect, the present application provides a computer-readable storage medium, which is used to store a computer program, and when the computer program is executed by a processor, it is used to implement the steps of any of the above methods.
[0038] The beneficial effects of the present application are as follows: different from the prior art, the present application obtains an aerial orthophoto, uses a trained image recognition model to identify the aerial orthophoto, obtains a cushion layer identification image of the target building, and then determines the completed cushion layer area in the cushion layer identification image to obtain the cushion layer construction progress result of the target building. In other words, the use of an automated identification process replaces the traditional manual form filling and photo reporting mode, which can quickly and accurately identify the cushion layer completion status of the building, thereby improving work efficiency; in addition, since the aerial orthophoto is obtained based on real data from the construction site and is calculated through accurate cushion layer area ratio calculation, it is possible to avoid data distortion caused by human factors, thereby improving the authenticity and reliability of cushion layer construction progress feedback. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:
[0040] Figure 1 It is a flow chart of a first embodiment of a method for identifying the cushion construction progress of a building provided by the present application;
[0041] Figure 2 It is a structural schematic diagram of an embodiment of a computer-readable storage medium provided by the present application. DETAILED DESCRIPTION
[0042] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It will be appreciated that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some but not all structures related to the present application are shown in the drawings. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the art without making creative work are within the scope of protection of the present application.
[0043] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0044] In the process of civil building foundation construction, pouring concrete cushion is an important part of foundation engineering. Concrete cushion is the middle layer between reinforced concrete foundation and foundation soil. Its functions are: first, to isolate the bottom reinforcement from the soil and prevent the steel bars from being eroded; second, to achieve flatness, balance the foundation force and reduce the impact of uneven settlement; third, to facilitate the laying out and supporting the foundation formwork, and reduce the possible errors when tying the steel bars. After the cushion is poured, the construction of the subsequent basement related processes can be officially started. Therefore, whether the cushion is poured on schedule has a direct impact on the progress of the underground part of the project.
[0045] The existing practice is to report the progress of the cushion layer completion by manually filling out forms and taking photos. However, manual operations are relatively complicated and prone to misreporting and concealment, resulting in low accuracy in the reported progress of the cushion layer completion.
[0046] Therefore, in order to solve the technical problem that the accuracy of the reported cushion layer completion progress is low due to the manual form filling and photo taking method of reporting the cushion layer completion progress in the prior art, the present application provides a cushion layer construction progress identification method for a building. Please refer to the following embodiments for details.
[0047] See also Figure 1 , Figure 1This is a flow chart of the first embodiment of the method for identifying the cushion construction progress of a building provided by the present application. The method includes:
[0048] Step 110: Obtain an aerial orthophoto.
[0049] Step 120: Use the trained image recognition model to recognize the aerial orthophoto to obtain a cushion layer recognition image of the target building.
[0050] Step 130: Determine the completed cushion layer area in the cushion layer recognition image.
[0051] Step 140: Based on the preset outline area of the target building and the completed cushion area, obtain the cushion area ratio.
[0052] Among them, the target building is the building that needs to be analyzed. For example, the aerial orthophoto contains 10 buildings, namely Building 1, Building 2, Building 3, Building 4, Building 5, Building 6, Building 7, Building 8, Building 9, and Building 10.
[0053] If Building 5 needs to be analyzed, then Building 5 is the target building.
[0054] In addition, the preset outline area of the target building is the area of the closed polygon of the building outline.
[0055] Step 150: Based on the cushion layer area ratio, obtain the cushion layer construction progress result of the target building.
[0056] This embodiment obtains an aerial orthophoto, uses a trained image recognition model to recognize the aerial orthophoto, obtains a cushion layer recognition image of the target building, and then determines the completed cushion layer area in the cushion layer recognition image to obtain the cushion layer construction progress result of the target building. In other words, an automated recognition process is used to replace the traditional manual form filling and photo reporting mode, which can quickly and accurately identify the cushion layer completion status of the building, thereby improving work efficiency. In addition, since the aerial orthophoto is obtained based on real data from the construction site and is calculated through accurate cushion layer area ratio calculation, it is possible to avoid data distortion caused by human factors, thereby improving the authenticity and reliability of cushion layer construction progress feedback.
[0057] In some embodiments, the trained image recognition model is trained in the following manner:
[0058] 1) Obtain the aerial model image to be processed;
[0059] 2) Based on the preset cushion features, marking the cushion area in the aerial model image to be processed to obtain a marked aerial model image;
[0060] The preset cushion layer features may include color features and texture features. For example, if the cushion layer is concrete, the color feature may be light gray.
[0061] 3) Inputting the labeled aerial model images into an image recognition model for training to obtain a trained image recognition model.
[0062] By pre-setting cushion features (such as light gray color features, texture features, etc.) and marking them on a large number of aerial model images, the trained image recognition model can more accurately distinguish the cushion from other non-cushion areas, thereby improving the accuracy of cushion area recognition.
[0063] In this way, by pre-training the image recognition model, the trained image recognition model can automatically complete the identification of the cushion area in the newly collected aerial photos, reducing the dependence on manual experience and further improving the efficiency of cushion construction progress identification.
[0064] Refer to the second embodiment of the method for identifying the construction progress of the cushion layer of a building provided in this application. The method includes:
[0065] Step 210: Obtain an aerial orthophoto.
[0066] Among them, the aerial orthophoto is presented in the form of a two-dimensional image, which is very intuitive and easy to understand and use.
[0067] In addition, aerial orthophotos can eliminate projection errors caused by terrain undulations, making the objects on the image have a uniform scale, facilitating accurate measurement and analysis.
[0068] Step 220: Use the trained image recognition model to identify the aerial orthophoto to obtain a cushion layer recognition image of the target building.
[0069] Step 230: Determine the completed cushion layer area in the cushion layer recognition image.
[0070] Step 240: Based on the preset outline area of the target building and the completed cushion area, obtain the cushion area ratio.
[0071] Step 250: If the cushion layer area ratio is less than the first preset value, it means that the cushion layer construction progress result of the target building is not started.
[0072] The first preset value may be a value less than 10%, such as 1%, 2%, 3%, etc.
[0073] Step 260: If the cushion layer area ratio is greater than the first preset value and less than the second preset value, it is determined that the cushion layer construction progress result of the target building is under construction.
[0074] The second preset value may be 85%, 90%, or 95%.
[0075] It should be noted that the first preset value and the second preset value can be set according to actual conditions, and this application does not limit them here.
[0076] Step 270: If the cushion layer area ratio is greater than a second preset value, it means that the cushion layer construction progress result of the target building is completed.
[0077] In this way, by setting the first preset value and the second preset value, and comparing the cushion area ratio with the first preset value and the second preset value, the cushion area ratio can be quantified, thereby being able to intuitively and accurately reflect the cushion construction progress of the target building, avoiding the deviation that may be caused by subjective judgment, and shortening the time required for progress evaluation, thereby improving recognition efficiency.
[0078] Refer to the third embodiment of the method for identifying the construction progress of the cushion layer of a building provided in this application. The method includes:
[0079] Step 310: Obtain an aerial orthophoto.
[0080] Step 320: Use the trained image recognition model to identify the aerial orthophoto to obtain a cushion layer recognition image of the target building.
[0081] Step 330: Determine the cushion layer area and the non-cushion layer area in the cushion layer recognition image.
[0082] Step 340: Fill the cushion layer area and the non-cushion layer area in the cushion layer recognition image based on preset colors to obtain a filled image.
[0083] Wherein, step 340 may include the following steps:
[0084] Step 341: Fill the cushion layer area with a first color.
[0085] Step 342: Fill the non-cushion layer area with a second color.
[0086] For example, the first color may be green, and the second color may be red; for another example, the first color may be yellow, and the second color may be blue.
[0087] It should be noted that the first color and the second color can be set manually according to actual conditions, and this application does not limit this.
[0088] Step 350: Determine the completed cushioning area based on the filling picture.
[0089] Step 360: Based on the preset contour area of the target building and the completed cushion area, obtain the cushion area ratio.
[0090] Step 370: Based on the cushion layer area ratio, obtain the cushion layer construction progress result of the target building.
[0091] In this way, using high-contrast colors to fill the cushion area and non-cushion area can make the boundaries between different areas clearer, making it easier to extract and process relevant information, such as statistical area and location distribution of the cushion area. In addition, using contrasting color filling can enhance details and help improve the detection accuracy of the image recognition model.
[0092] Refer to the fourth embodiment of the method for identifying the construction progress of the cushion layer of a building provided in this application. The method includes:
[0093] Step 410: Acquire the original aerial image.
[0094] Step 420: reconstructing a three-dimensional real scene model from the original aerial image to obtain a three-dimensional model.
[0095] Step 430: convert the three-dimensional model to obtain an aerial orthographic image.
[0096] Among them, aerial orthophoto is a high-precision geographic information file generated by aerial photogrammetry technology.
[0097] Step 440: Use the trained image recognition model to identify the aerial orthophoto to obtain a cushion layer recognition image of the target building.
[0098] Step 450: Determine the completed cushion layer area in the cushion layer recognition image.
[0099] Step 460: Based on the preset contour area of the target building and the completed cushion area, obtain the cushion area ratio.
[0100] Step 470: Based on the cushion layer area ratio, obtain the cushion layer construction progress result of the target building.
[0101] In this way, the reconstruction of the 3D real scene model can more accurately reflect the real situation on the ground, especially in areas with complex terrain. The 3D model can better capture the ground details and provide more accurate basic data for the subsequent orthophoto generation. In addition, converting the 3D model into an aerial orthophoto can eliminate the image deformation caused by terrain undulations or shooting angles, thereby improving the plane consistency of the image.
[0102] Refer to the fifth embodiment of the method for identifying the construction progress of the cushion layer of a building provided in this application. The method includes:
[0103] Step 510: Acquire the original aerial image.
[0104] Step 520: reconstructing a three-dimensional real scene model from the original aerial image to obtain a three-dimensional model.
[0105] Step 530: convert the three-dimensional model to obtain an aerial orthographic image.
[0106] Step 540: Cut the aerial orthophoto using preset target building outline information to obtain a cut orthophoto.
[0107] Among them, the preset target building outline information can be extracted from relevant drawings.
[0108] Exemplarily, the aerial orthophoto includes 10 buildings, namely Building 1, Building 2, Building 3, Building 4, Building 5, Building 6, Building 7, Building 8, Building 9, and Building 10.
[0109] The contour information of Building No. 5 can be extracted from the relevant drawings, and the aerial orthophoto is cut according to the contour information of Building No. 5, and the obtained cut orthophoto includes the area of Building No. 5.
[0110] Step 550: Use the trained image recognition model to identify the cut orthophoto to obtain a cushion layer recognition image of the target building.
[0111] Step 560: Determine the completed cushion layer area in the cushion layer recognition image.
[0112] Step 570: Based on the preset contour area of the target building and the completed cushion area, obtain the cushion area ratio.
[0113] Step 580: Based on the cushion layer area ratio, obtain the cushion layer construction progress result of the target building.
[0114] In this way, by using the preset target building outline information to cut the orthophoto, we can focus on a specific area for analysis, avoiding the large amount of computing resources consumed by processing the entire DOM map, which in turn helps to improve the processing speed of the image recognition model.
[0115] In some embodiments, the system may pre-store a building table, which may include an operation plan (such as purchasing building materials, decoration materials, and cost sharing) and building coding information.
[0116] Among them, there can be a mapping relationship between the contour information and the building code. Based on this, each recognition result can correspond to the building, and then can be connected with the corresponding business system to provide feedback on the planning node.
[0117] Among them, step 310, step 320, step 330 and step 340 have the same or similar technical solutions as the above embodiment, and are not described in detail here.
[0118] Corresponding to the method for identifying the progress of the cushion layer construction of a building in the above embodiment, the present application also provides a device for identifying the progress of the cushion layer construction of a building, and the device for identifying the progress of the cushion layer construction of a building includes an acquisition unit, an identification unit, a determination unit and an analysis unit.
[0119] Wherein, the acquisition unit is used to acquire the aerial orthophoto;
[0120] The recognition unit is used to recognize the aerial orthophoto using a trained image recognition model to obtain a cushion recognition image of the target building;
[0121] The determination unit is used to determine the completed cushion layer area in the cushion layer recognition image;
[0122] The analysis unit is used to obtain the cushion area ratio based on the preset outline area of the target building and the completed cushion area;
[0123] The analysis unit is also used to obtain the cushion construction progress result of the target building based on the cushion area ratio.
[0124] It can be understood that the above-mentioned units are also used to implement the technical solution of any embodiment in the present application.
[0125] The present application also provides a cushion construction progress identification system for a building, the cushion construction progress identification system for a building includes a memory and a processor, wherein a computer program is stored in the memory; the processor is used to implement the cushion construction progress identification method for a building provided by any one of the aforementioned method embodiments when executing the computer program.
[0126] See also Figure 2 , Figure 2 The structure of an embodiment of a computer-readable storage medium provided by the present application is shown in FIG. 7 . The computer-readable storage medium 70 is used to store a computer program 71. When the computer program 71 is executed by a processor, it is used to implement the following method steps:
[0127] Obtain aerial orthophotos;
[0128] Using the trained image recognition model to recognize the aerial orthophoto, obtaining a cushion layer recognition image of the target building;
[0129] Determining the completed cushion area in the cushion recognition image;
[0130] Based on the preset outline area of the target building and the completed cushion area, the cushion area ratio is obtained;
[0131] Based on the cushion layer area ratio, the cushion layer construction progress result of the target building is obtained.
[0132] It can be understood that when the computer program 71 is executed by the processor, it is also used to implement the technical solution of any embodiment of the present application.
[0133] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device implementation described above is only illustrative, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as two units or components can be combined or integrated into another system, or some features can be ignored or not executed.
[0134] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on two network units. Some or all of the units may be selected according to actual needs to achieve the purpose of this embodiment.
[0135] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0136] If the integrated units in the above other embodiments are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of each implementation method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.
[0137] The above are only implementation methods of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A method for identifying the construction progress of a cushion layer of a building, characterized in that: Methods include: Obtain aerial orthophotos; Using the trained image recognition model to recognize the aerial orthophoto, obtaining a cushion layer recognition image of the target building; Determining the completed cushion area in the cushion recognition image; Based on the preset outline area of the target building and the completed cushion area, the cushion area ratio is obtained; Based on the cushion layer area ratio, the cushion layer construction progress result of the target building is obtained.
2. The method for identifying the construction progress of the cushion layer of a building according to claim 1, characterized in that: The cushion layer construction progress result of the target building is obtained based on the cushion layer area ratio, including: If the cushion layer area ratio is less than the first preset value, it means that the cushion layer construction progress result of the target building is not started; If the cushion layer area ratio is greater than the first preset value and less than the second preset value, the cushion layer construction progress result of the target building is determined to be under construction; If the cushion layer area ratio is greater than the second preset value, it means that the cushion layer construction progress result of the target building has been completed.
3. The method for identifying the construction progress of the cushion layer of a building according to claim 1, characterized in that: After obtaining the cushion layer recognition image of the target building, the method further includes: Determine a cushion layer area and a non-cushion layer area in the cushion layer recognition image; Filling the cushion layer area and the non-cushion layer area in the cushion layer recognition image respectively based on a preset color to obtain a filled image; The step of determining the completed cushion layer area in the cushion layer recognition image comprises: Based on the fill picture, the completed cushion area is determined.
4. The method for identifying the construction progress of the cushion layer of a building according to claim 3, characterized in that: The filling of the cushion layer area and the non-cushion layer area in the cushion layer recognition image based on the preset color respectively includes: Filling the cushion layer area with a first color; The non-cushion layer area is filled with a second color.
5. The method for identifying the construction progress of the cushion layer of a building according to claim 1, characterized in that: The obtaining of the aerial orthophoto includes: Obtain original aerial images; Reconstructing a three-dimensional real scene model from the original aerial image to obtain a three-dimensional model; The three-dimensional model is converted to obtain an aerial orthophoto.
6. The method for identifying the construction progress of the cushion layer of a building according to claim 5, characterized in that: After obtaining the aerial orthophoto, the method further comprises: Cutting the aerial photography orthophoto using preset target building outline information to obtain a cut orthophoto; The method of using the trained image recognition model to recognize the aerial orthophoto to obtain a cushion layer recognition image of the target building includes: The cut orthophoto is recognized using a trained image recognition model to obtain a cushion layer recognition image of the target building.
7. The method for identifying the construction progress of the cushion layer of a building according to claim 1, characterized in that: The trained image recognition model is trained in the following manner: Get the aerial model image to be processed; Based on the preset cushion features, the cushion area is marked in the aerial model image to be processed to obtain a marked aerial model image; The labeled aerial model images are input into the image recognition model for training to obtain a trained image recognition model.
8. A device for identifying the construction progress of a cushion layer of a building, characterized in that: The device for identifying the progress of cushion construction of a building comprises a unit for executing the method as claimed in any one of claims 1 to 7.
9. A cushion construction progress identification system for a building, characterized in that: The cushion construction progress identification system for a building includes a memory and a processor, the memory is used to store program data, and the processor is used to execute the program data to implement the cushion construction progress identification method for a building as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program data, and when the program data is executed by the processor, it is used to implement the method for identifying the progress of the cushion construction of a building as claimed in any one of claims 1 to 7.