Building construction monitoring method and system based on intelligent AI

Abstract

The invention relates to the technical field of building engineering management, in particular to a building construction monitoring method and system based on intelligent AI, and the method comprises an uploading module which is used for uploading building structure information, and setting an acquisition path of an external wall thermal insulation material installation image based on the building structure information; the acquisition module is used for receiving the acquisition path of the external wall thermal insulation material safety image set in the uploading module and acquiring a building external wall thermal insulation material installation image based on the acquisition path; according to the invention, real-time image data acquisition is carried out on the installation state of the thermal insulation material of the building exterior wall through the camera carried by the AGV, the progress of the installation construction of the thermal insulation material of the exterior wall is monitored through processing the image data and detecting the installation proportion of the thermal insulation material, and meanwhile, based on the similarity calculation of the acquired image, the accuracy of the thermal insulation material installation is improved. Certain valuable evaluation is further carried out on the external wall thermal insulation collection and installation quality, and a building construction site management user is assisted to better control stable development of a building external wall thermal insulation material installation project.

Description

Technical Field

[0001] The present invention relates to the technical field of construction project management, and particularly to a building construction monitoring method and system based on intelligent AI. Background Art

[0002] There are various external wall dry-hanging thermal insulation materials. Organic materials such as polyurethane boards have good heat preservation and waterproof properties; inorganic materials like rock wool boards have excellent fireproof performance. Composite external wall decorative hanging boards integrate functions such as decoration and heat preservation. They provide efficient heat preservation for the external wall according to different building requirements, improving building energy efficiency and overall performance.

[0003] The invention patent application with the application number 201210042507.4 discloses a building construction monitoring system, including: a sensor unit disposed on the target monitoring floor, composed of several temperature sensors and several strain sensors, for measuring the temperature load and strain of the building structure; a vertical displacement measurement unit disposed on the target monitoring floor, for measuring the overall vertical displacement size of the building structure; several acquisition units disposed on the target monitoring floor, connected to the sensor unit and the vertical displacement measurement unit, for acquiring the measurement data of the sensor unit and the vertical displacement measurement unit; a host computer, for outputting the measurement data acquired by the acquisition unit; the several acquisition units are divided into multiple acquisition sub-stations; in each acquisition sub-station, the acquisition unit closest to the host computer is used as the acquisition main station, and the remaining acquisition units are used as acquisition sub-stations; the acquisition main station is connected to the host computer, for acquiring the measurement data of the sensor unit and the vertical displacement measurement unit and outputting the acquired measurement data to the host computer; the acquisition sub-station is used for acquiring the measurement data of the sensor unit and the vertical displacement measurement unit, and outputting the acquired measurement data to the host computer through the acquisition main station.

[0004] This application aims to solve the problem that: "Due to the limitations of building scale and construction period, the construction monitoring period of previous super high-rise buildings was relatively short, only local components were monitored, the number of monitoring points was relatively small, the data lacked integrity and representativeness; manual regular offline monitoring was adopted, and its monitoring content and monitoring efficiency could not meet the needs of real-time online continuous monitoring, and the response information during the structural construction process could not be obtained timely and comprehensively, resulting in low monitoring efficiency, the response information during the structural construction process could not be obtained timely and comprehensively, and it could not well guide the construction of super high-rise buildings."

[0005] However, for the installation scenario of external wall thermal insulation materials in building construction, due to its influence by building height, the supervisors on the ground cannot inspect the installed thermal insulation materials on the external wall globally and accurately, and the installation quality of building external wall thermal insulation materials cannot be effectively monitored and supervised.

[0006] To this end, a building construction monitoring method and system based on intelligent AI are proposed. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a building construction monitoring method and system based on intelligent AI, which solves the technical problems proposed in the above-mentioned background art.

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions: In a first aspect, a building construction monitoring system based on intelligent AI includes: An upload module for uploading building structure information and setting an acquisition path for the installation image of the exterior wall thermal insulation material based on the building structure information; a collection module for receiving the acquisition path of the safety image of the exterior wall thermal insulation material set in the upload module and collecting the installation image of the building exterior wall thermal insulation material based on the acquisition path; a segmentation module for receiving the installation image of the building exterior wall thermal insulation material collected by the collection module and segmenting and obtaining the building exterior wall area image in the installation image of the building exterior wall thermal insulation material; The segmentation module is provided with sub-modules, including: A storage unit for receiving the building exterior wall area image obtained by running the segmentation process in the segmentation module and storing the building exterior wall area image; The logic for the segmentation module to run and segment and obtain the building exterior wall area image in the installation image of the building exterior wall thermal insulation material is: ; where: P(A) is the determination value of whether pixel A belongs to the building exterior wall area image; H is the gray value of pixel A; (a1, b1) is the gray value interval of the building exterior wall; (a2, b2) is the gray value interval of the building exterior wall thermal insulation material; Based on the above formula, all pixels in the installation image of the building exterior wall thermal insulation material are calculated, and the pixels with a determination value of 0 are subjected to segmentation processing in the installation image of the building exterior wall thermal insulation material; Then, the adjacent pixel spacing distances of all pixels in the segmented image are identified, and the pixels with non-zero adjacent pixel spacing distances are used as the discard targets, and a discard operation is performed on the segmented image; Among them, the pixel adjacent spacing distance is in units of pixels. The installation image of the building exterior wall thermal insulation material after the segmentation and discard processing is denoted as the building exterior wall area image; The monitoring module is used to traverse the images of the building exterior wall area and measure the installation proportion of thermal insulation materials in the images of the building exterior wall area; the evaluation module is used to obtain the traversal results of the images of the building exterior wall area in the monitoring module, pick up all the images of the building exterior wall areas with full coverage of thermal insulation materials, and evaluate the installation quality of the thermal insulation materials on the building exterior wall based on the picked-up images; the output module is used to receive the installation proportion of thermal insulation materials in the images of the building exterior wall area measured by the monitoring module and the evaluation results of the installation quality of the thermal insulation materials on the building exterior wall in the evaluation module, and feedback the installation proportion of thermal insulation materials and the evaluation results to the system-end users.

[0009] Furthermore, the building structure information uploaded by the uploading module includes: the boundary coordinates of the road area around the building structure and the building structure specification parameters; After the building structure information in the uploading module is uploaded, it is synchronously connected adjacent to each other based on the boundary coordinates of the road area around the building structure to construct a two-dimensional graph representing the road area around the building structure, denoted as the image acquisition area. A three-dimensional model of the building structure is constructed based on the building structure specification parameters, and the image acquisition area and the three-dimensional model of the building structure are placed in the same three-dimensional space for representation, so that the image acquisition area is placed on the bottom surface of the three-dimensional model of the building structure, and the bottom surface of the three-dimensional model of the building structure is within the image acquisition area.

[0010] Furthermore, there are sub-modules under the uploading module, including: The AGV module is used to carry the acquisition module to move in the image acquisition area; The editing unit is used to edit the acquisition path of the images of the installation of thermal insulation materials on the exterior wall, load the edited acquisition path into the AGV module, and control the AGV module to move based on the acquisition path; Among them, the AGV module is integrated by an AGV cart, an automatic avoidance system, and an acquisition module. The acquisition module is a high-definition camera, and the automatic avoidance system is any one of a lidar avoidance system, an ultrasonic avoidance system, a vision avoidance system, and an infrared avoidance system. When the editing unit runs to edit the acquisition path of the images of the installation of thermal insulation materials on the exterior wall, the system-end user selects several position coordinates in the image acquisition area, and connects them to form an acquisition path. The system-end user further selects several points in the acquisition path and marks the direction angles of the selected points. When the AGV module carries the acquisition module to move along the acquisition path, each time it reaches the points selected by the system-end user, it coordinates the carried acquisition module based on the direction and angle marked at this point, so that the camera end of the acquisition module faces the surface of the building exterior wall.

[0011] Furthermore, the operation of the AGV module carrying the acquisition module to collect images of the installation of thermal insulation materials on the building exterior wall is performed at least once a day; When the storage unit stores the images of the building exterior wall area, it distinguishes and stores them according to the acquisition date of the building exterior wall thermal insulation material installation images from which the building exterior wall area images are sourced. When the monitoring module performs the measurement operation of the installation ratio of the thermal insulation material in the building exterior wall area image, it performs the measurement based on (a1, b1) and (a2, b2), and the measurement result is expressed as a percentage.

[0012] Furthermore, the monitoring module follows the update of the stored building exterior wall area images in the storage unit and refreshes and runs synchronously. After the monitoring module measures the installation ratio of the thermal insulation material in the building exterior wall area image, it combines the measurement date to generate a trend chart representing the change in the installation ratio of the thermal insulation material, and the trend chart representing the change in the installation ratio of the thermal insulation material is stored synchronously in the storage unit.

[0013] Furthermore, the building exterior wall area images picked up by the evaluation module are sorted according to the acquisition date of the building exterior wall thermal insulation material installation images from which they are sourced, and then the evaluation of the installation quality of the building exterior wall thermal insulation material is performed: ; Where: SIMM is the similarity between two building exterior wall area images; B is the total number of color intervals; H1(b) and H2(b) are the number of pixels in which the colors of the two building exterior wall area images fall into the b-th color interval. Taking any two building exterior wall area images as a pair for the similarity calculation target, performing the calculation operation, and then obtaining the minimum value of the calculation result and the two building exterior wall area images corresponding to the minimum value to evaluate the installation quality of the building exterior wall thermal insulation material. ; Where: Q is the installation quality performance value of the building exterior wall thermal insulation material; SIMM min is the minimum value of the similarity calculation result; is the time interval delimited by the corresponding dates of the building exterior wall area images from which the building exterior wall thermal insulation material installation images are sourced pointed to by the minimum value; Among them, the larger the installation quality performance value Q of the building exterior wall thermal insulation material, the better the installation quality of the building exterior wall thermal insulation material; conversely, it indicates that the installation quality of the building exterior wall thermal insulation material is worse.

[0014] Furthermore, during the operation stage of the output module, using the mobile computer device held by the system-side user as the transmission target, the installation ratio of the thermal insulation material and the evaluation result are transmitted to the computer device through the wireless network, and the system-side user reads the installation ratio of the thermal insulation material and the evaluation result on the mobile computer. Among them, the output content of the output module also includes a trend chart representing the change in the installation ratio of the thermal insulation material.

[0015] Further, the lower level of the uploading module is connected to an AGV module and an editing unit through wireless network interaction. The uploading module is connected to a collecting module and a splitting module through wireless network interaction. Inside the splitting module, there is a storage unit connected through wireless network interaction. The splitting module is connected to a monitoring module and an evaluation module through wireless network interaction. The evaluation module is connected to an output module through wireless network interaction.

[0016] In a second aspect, a building construction monitoring method based on intelligent AI includes the following steps: Set the acquisition path of the installation image of the exterior wall thermal insulation material according to the building structure information. Based on the AGV device equipped with a camera, move according to the acquisition path, and collect the installation image of the exterior wall thermal insulation material during the movement. Segment the installation image of the exterior wall thermal insulation material to obtain the exterior wall area image. Store the exterior wall area image, and based on the stored exterior wall area image, measure the installation ratio of the building exterior wall thermal insulation material. Generate a trend chart representing the change in the installation ratio of the exterior wall thermal insulation material according to the historical measurement results of the installation ratio of the building exterior wall thermal insulation material. Traverse the exterior wall area image, pick up the exterior wall area image with full coverage of the thermal insulation material in the exterior wall area image, and evaluate the overall installation quality of the building exterior wall thermal insulation material based on the picked-up exterior wall area image. Output the installation ratio of the building exterior wall thermal insulation material and the evaluation result of the installation quality.

[0017] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects: The present invention provides a building construction monitoring method and system based on intelligent AI. During the execution of this method and system, the AGV cart is equipped with a camera to collect real-time image data of the installation state of the thermal insulation material on the building exterior wall. Through the processing of the image data and the detection of the installation ratio of the thermal insulation material, the progress of the installation construction of the exterior wall thermal insulation material is monitored. At the same time, based on the calculation of the image similarity of the collected images, the installation quality of the exterior wall thermal insulation collection is further evaluated with a certain value, assisting the construction site management users to better control the stable development of the installation project of the building exterior wall thermal insulation material. Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a schematic structural diagram of a building construction monitoring system based on intelligent AI; Figure 2 It is a schematic flow diagram of a building construction monitoring method based on intelligent AI. Detailed implementation manners

[0020] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0021] The present invention will be further described below with reference to the embodiments.

[0022] Embodiment 1: A building construction monitoring system based on intelligent AI in this embodiment, as Figure 1 shown, includes: An upload module, configured to upload building structure information and set an acquisition path for the installation image of the external wall thermal insulation material based on the building structure information; The building structure information uploaded in the upload module includes: the boundary coordinates of the road area around the building structure and the building structure specification parameters; After the building structure information in the upload module is uploaded, it is synchronously connected adjacent to each other based on the boundary coordinates of the road area around the building structure to construct a two-dimensional graph representing the road area around the building structure, denoted as the image acquisition area. A three-dimensional model of the building structure is constructed based on the building structure specification parameters, and the image acquisition area and the three-dimensional model of the building structure are placed in the same three-dimensional space for representation, so that the image acquisition area is placed on the bottom surface of the three-dimensional model of the building structure, and the bottom surface of the three-dimensional model of the building structure is within the image acquisition area; A sub-module is provided under the upload module, including: An AGV module, configured to carry the acquisition module to move in the image acquisition area; An editing unit, configured to edit the acquisition path of the installation image of the external wall thermal insulation material, load the edited acquisition path into the AGV module, and control the AGV module to move based on the acquisition path; Among them, the AGV module is integrated by an AGV vehicle, an automatic avoidance system, and a collection module. The collection module is a high-definition camera, and the automatic avoidance system is any one of a lidar avoidance system, an ultrasonic avoidance system, a vision avoidance system, and an infrared avoidance system. When the editing unit runs to edit the acquisition path of the installation image of the external wall thermal insulation material, the system-side user selects several position coordinates within the image acquisition area, and connects them based on the position coordinates to form an acquisition path. The system-side user further selects several points in the acquisition path and marks the direction angles of the selected points. During the movement of the AGV module carrying the collection module based on the acquisition path, each time it reaches the point selected by the system-side user, it coordinates the carried collection module based on the direction and angle marked at this point, so that the camera end of the collection module faces the surface of the building external wall; The collection module is used to receive the acquisition path of the safety image of the external wall thermal insulation material set in the upload module, and acquire the installation image of the building external wall thermal insulation material based on the acquisition path; The segmentation module is used to receive the installation image of the building external wall thermal insulation material collected by the collection module, and segment and obtain the building external wall area image from the installation image of the building external wall thermal insulation material; There are sub-modules set in the segmentation module, including: The storage unit is used to receive the building external wall area image obtained by running the segmentation process in the segmentation module, and store the building external wall area image; The logic for the segmentation module to run and segment and obtain the building external wall area image from the installation image of the building external wall thermal insulation material is: ; In the formula: P(A) is the determination value of whether pixel A belongs to the building external wall area image; H is the gray value of pixel A; (a1, b1) is the gray value interval of the building external wall; (a2, b2) is the gray value interval of the building external wall thermal insulation material; Based on the above formula, all pixels in the installation image of the building external wall thermal insulation material are calculated, and the pixels with a determination value of 0 are subjected to segmentation processing in the installation image of the building external wall thermal insulation material; Then, the adjacent pixel interval distances of all pixels in the segmented image are identified, and the pixels with non-zero adjacent pixel interval distances are used as the abandonment targets, and the abandonment operation is performed on the segmented image; Among them, the pixel adjacent interval distance is in units of pixels. The installation image of the building external wall thermal insulation material after performing the segmentation and abandonment processing is denoted as the building external wall area image; Through the above logical formula, an effective segmentation logic is provided for the segmentation of the building external wall area image in the segmentation module; The operation of the AGV module carrying the collection module to collect the installation image of the building external wall thermal insulation material is performed at least once a day; When the storage unit stores the images of the building exterior wall area, it distinguishes and stores them according to the acquisition date of the building exterior wall thermal insulation material installation images, which are the sources of the building exterior wall area images. When the monitoring module performs the measurement operation of the installation ratio of thermal insulation materials in the building exterior wall area images, it performs the measurement based on (a1, b1) and (a2, b2), and the measurement result is expressed as a percentage. The monitoring module follows the update of the stored building exterior wall area images in the storage unit and refreshes its operation synchronously. After the monitoring module measures the installation ratio of thermal insulation materials in the building exterior wall area images, it generates a trend chart representing the change in the installation ratio of thermal insulation materials in combination with the measurement date, and the trend chart representing the change in the installation ratio of thermal insulation materials is stored synchronously in the storage unit. The monitoring module is used to traverse the building exterior wall area images and measure the installation ratio of thermal insulation materials in the building exterior wall area images. The evaluation module is used to obtain the traversal results of the building exterior wall area images in the monitoring module, pick up all the building exterior wall area images with full coverage of thermal insulation materials, and evaluate the installation quality of the building exterior wall thermal insulation materials based on the picked-up images. The building exterior wall area images picked up by the evaluation module are sorted according to the acquisition date of the building exterior wall thermal insulation material installation images, which are their sources, and then the evaluation of the installation quality of the building exterior wall thermal insulation materials is performed: ; In the formula: SIMM is the similarity of two building exterior wall area images; B is the total number of color intervals; H1(b) and H2(b) are the number of pixels in which the colors of the two building exterior wall area images fall into the b-th color interval. Take any two building exterior wall area images as the target for similarity calculation, perform the calculation operation, and then obtain the minimum value of the calculation result and the two building exterior wall area images corresponding to the minimum value to evaluate the installation quality of the building exterior wall thermal insulation materials. ; In the formula: Q is the performance value of the installation quality of the building exterior wall thermal insulation materials; SIMM min is the minimum value of the similarity calculation result; is the time interval delimited by the corresponding date of the building exterior wall thermal insulation material installation image, which is the source of the building exterior wall area image, pointed to by the minimum value; Among them, the larger the performance value Q of the installation quality of the building exterior wall thermal insulation materials, the better the installation quality of the building exterior wall thermal insulation materials; on the contrary, it means the worse the installation quality of the building exterior wall thermal insulation materials. Through the above logical formula calculation, the installation quality of the building exterior wall thermal insulation materials is digitally marked, so that the on-site managers of the construction project can more quickly evaluate the installation situation of the building exterior wall thermal insulation materials.

[0023] An output module, configured to receive the installation ratio of thermal insulation materials in the measured building exterior wall area image in the monitoring module and the evaluation result of the installation quality of the building exterior wall thermal insulation materials in the evaluation module, and feedback the installation ratio of thermal insulation materials and the evaluation result to the system-end user; The lower level of the upload module is connected with an AGV module and an editing unit through wireless network interaction. The upload module is connected with a collection module and a segmentation module through wireless network interaction. The storage unit is connected with the inside of the segmentation module through wireless network interaction. The segmentation module is connected with the monitoring module and the evaluation module through wireless network interaction. The evaluation module is connected with the output module through wireless network interaction.

[0024] In this embodiment, the upload module runs to upload building structure information, sets the acquisition path of the installation image of the exterior wall thermal insulation material based on the building structure information. The AGV module synchronously carries the collection module to move in the image acquisition area. The editing unit edits the acquisition path of the installation image of the exterior wall thermal insulation material in real time, loads the edited acquisition path into the AGV module, controls the AGV module to move based on the acquisition path. The collection module further receives the acquisition path of the safety image of the exterior wall thermal insulation material set in the upload module, and acquires the installation image of the building exterior wall thermal insulation material based on the acquisition path. The segmentation module runs later to receive the installation image of the building exterior wall thermal insulation material acquired by the collection module, and segments and obtains the building exterior wall area image in the installation image of the building exterior wall thermal insulation material. The storage unit synchronously receives the building exterior wall area image obtained by the segmentation process in the segmentation module, stores the building exterior wall area image, and then the monitoring module traverses the building exterior wall area image, measures the installation ratio of thermal insulation materials in the building exterior wall area image. Finally, the evaluation module obtains the traversal result of the building exterior wall area image in the monitoring module, picks up all the building exterior wall area images with full coverage of thermal insulation materials, and evaluates the installation quality of the building exterior wall thermal insulation materials based on the picked-up images. The output module runs to receive the installation ratio of thermal insulation materials in the measured building exterior wall area image in the monitoring module and the evaluation result of the installation quality of the building exterior wall thermal insulation materials in the evaluation module, and feedback the installation ratio of thermal insulation materials and the evaluation result to the system-end user.

[0025] Through the operation of the system in the above embodiment, it brings real-time artificial intelligence monitoring services for the installation of building exterior wall thermal insulation materials, and effectively assists the on-site management personnel of building projects to supervise the installation of building exterior wall thermal insulation materials more quickly and comprehensively.

[0026] As Figure 1 shown, during the operation stage of the output module, taking the mobile computer device held by the system-end user as the transmission target, the installation ratio of thermal insulation materials and the evaluation result are transmitted to the computer device through wireless network. The system-end user reads the installation ratio of thermal insulation materials and the evaluation result on the mobile computer. Among them, the content output by the output module also includes a trend chart indicating the change in the installation ratio of thermal insulation materials.

[0027] Through the above settings, the operation logic and output content of the output module are further defined.

[0028] Embodiment 2: At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to Figure 2 For a further specific description of a building construction monitoring system based on intelligent AI in Embodiment 1: A building construction monitoring method based on intelligent AI includes the following steps: Set the acquisition path of the installation image of the exterior wall thermal insulation material according to the building structure information, and move the camera carried by the AGV device according to the acquisition path to acquire the installation image of the exterior wall thermal insulation material during the movement; Segment the installation image of the exterior wall thermal insulation material to obtain the exterior wall area image, store the exterior wall area image, and measure the installation ratio of the building exterior wall thermal insulation material based on the stored exterior wall area image; Generate a trend chart indicating the change in the installation ratio of the exterior wall thermal insulation material according to the historical measurement results of the installation ratio of the building exterior wall thermal insulation material; Traverse the exterior wall area image, pick up the exterior wall area image with full coverage of the thermal insulation material in the exterior wall area image, and evaluate the overall installation quality of the building exterior wall thermal insulation material based on the picked-up exterior wall area image; Output of the installation ratio of the building exterior wall thermal insulation material and the evaluation result of the installation quality.

[0029] In summary, during the execution of the methods and systems in the above embodiments, the AGV trolley is used to carry a camera to collect real-time image data on the installation status of the thermal insulation material on the building exterior wall. Through the processing of the image data and the detection of the installation ratio of the thermal insulation material, the progress of the installation construction of the exterior wall thermal insulation material is monitored. At the same time, based on the calculation of the image similarity of the collected images, the installation quality of the exterior wall thermal insulation collection is further evaluated in a valuable way, assisting the users in the construction site management to better control the stable development of the installation project of the building exterior wall thermal insulation material.

[0030] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the present invention in each embodiment.

Claims

1. An intelligent AI-based building construction monitoring system, characterized in that, Including: An upload module, which is used to upload building structure information and set the acquisition path of the installation image of the external wall thermal insulation material based on the building structure information; An acquisition module, which is used to receive the acquisition path of the installation image of the external wall thermal insulation material set in the upload module and acquire the installation image of the building external wall thermal insulation material based on the acquisition path; A segmentation module, which is used to receive the installation image of the building external wall thermal insulation material acquired by the acquisition module and segment and obtain the building external wall area image from the installation image of the building external wall thermal insulation material; A monitoring module, which is used to traverse the building external wall area image and measure the installation proportion of the thermal insulation material in the building external wall area image; An evaluation module, which is used to obtain the traversal result of the building external wall area image in the monitoring module, pick up all the building external wall area images with full coverage of the thermal insulation material, and evaluate the installation quality of the building external wall thermal insulation material based on the picked-up images; An output module, which is used to receive the installation proportion of the thermal insulation material in the building external wall area image measured by the monitoring module and the evaluation result of the installation quality of the building external wall thermal insulation material in the evaluation module, and feedback the installation proportion of the thermal insulation material and the evaluation result to the system-end user.

2. The construction monitoring system based on intelligent AI according to claim 1, wherein The building structure information uploaded by the upload module includes: the boundary coordinates of the road area around the building structure and the building structure specification parameters; After the building structure information in the upload module is uploaded, it is synchronously connected adjacent to each other based on the boundary coordinates of the road area around the building structure to construct a two-dimensional graph representing the road area around the building structure, denoted as the image acquisition area. A three-dimensional model of the building structure is constructed based on the building structure specification parameters, and the image acquisition area and the three-dimensional model of the building structure are placed in the same three-dimensional space for representation, so that the image acquisition area is placed on the bottom surface of the three-dimensional model of the building structure, and the bottom surface of the three-dimensional model of the building structure is within the image acquisition area.

3. The building construction monitoring system based on intelligent AI according to claim 2, characterized in that, A sub-module is set under the upload module, including: An AGV module, which is used to carry the acquisition module to move in the image acquisition area; An editing unit, which is used to edit the acquisition path of the installation image of the external wall thermal insulation material, load the edited acquisition path into the AGV module, and control the AGV module to move based on the acquisition path; Among them, the AGV module is integrated by an AGV car, an automatic avoidance system, and an acquisition module. The acquisition module is a high-definition camera, and the automatic avoidance system is any one of a lidar avoidance system, an ultrasonic avoidance system, a vision avoidance system, and an infrared avoidance system. When the editing unit runs to edit the acquisition path of the installation image of the external wall thermal insulation material, the system-end user selects several position coordinates in the image acquisition area, and connects them to form an acquisition path. The system-end user further selects several points in the acquisition path and marks the direction angles of the selected points. When the AGV module carries the acquisition module to move based on the acquisition path, each time it reaches the point selected by the system-end user, it coordinates the carried acquisition module based on the direction and angle marked at this point, so that the camera end of the acquisition module faces the surface of the building external wall; A sub-module is set in the segmentation module, including: A storage unit, which is used to receive the building external wall area image obtained by running the segmentation process in the segmentation module and store the building external wall area image.

4. An intelligent AI-based building construction monitoring system according to claim 1, characterized in that, The logic for the segmentation module to run and segment the building exterior wall area image from the building exterior wall thermal insulation material installation image is as follows: ； In the formula: P(A) is the determination value of whether pixel A belongs to the building exterior wall area image; H is the gray value of pixel A; (a1, b1) is the gray value range of the building exterior wall; (a2, b2) is the gray value range of the building exterior wall thermal insulation material; Based on the above formula, all pixels in the building exterior wall thermal insulation material installation image are calculated, and the pixels with a determination value of 0 are subjected to segmentation processing in the building exterior wall thermal insulation material installation image; Then, the adjacent pixel interval distances of all pixels in the segmented image are identified, and the pixels with non-zero adjacent pixel interval distances are used as the discard targets, and the discard operation is performed in the segmented image; Among them, the pixel adjacent interval distance is in units of pixels. The building exterior wall thermal insulation material installation image after segmentation and discard processing is denoted as the building exterior wall area image.

5. The building construction monitoring system based on intelligent AI according to claim 3, characterized in that, The AGV module carries the acquisition module to perform the operation of acquiring the building exterior wall thermal insulation material installation image at least once a day; When the storage unit stores the building exterior wall area image, it is stored separately according to the acquisition date of the building exterior wall thermal insulation material installation image from which the building exterior wall area image is derived; When the monitoring module performs the measurement operation of the installation ratio of the thermal insulation material in the building exterior wall area image, it is measured based on (a1, b1) and (a2, b2), and the measurement result is expressed as a percentage.

6. The building construction monitoring system based on intelligent AI according to claim 4, characterized in that The monitoring module runs synchronously with the update of the building exterior wall area image stored in the storage unit; After the monitoring module measures the installation ratio of the thermal insulation material in the building exterior wall area image, combined with the measurement date, a trend chart representing the change in the installation ratio of the thermal insulation material is generated, and the trend chart representing the change in the installation ratio of the thermal insulation material is stored synchronously in the storage unit.

7. An intelligent AI-based building construction monitoring system according to claim 1, characterized in that For the building exterior wall area image picked up by the evaluation module, it is sorted according to the acquisition date of the building exterior wall thermal insulation material installation image from which it is derived, and then the evaluation of the installation quality of the building exterior wall thermal insulation material is performed: ； In the formula: SIMM is the similarity between two building exterior wall area images; B is the total number of color intervals; H1(b) and H2(b) are the number of pixels in which the colors of the two building exterior wall area images fall into the b-th color interval; Taking any two building exterior wall area images as a pair for the similarity calculation target, perform the calculation operation, and then obtain the minimum value of the calculation result and the two building exterior wall area images corresponding to the minimum value to evaluate the installation quality of the building exterior wall thermal insulation material; ； Where: Q is the installation quality performance value of the building exterior wall thermal insulation material; SIMM min is the minimum value of the similarity calculation result; is the time interval delimited by the minimum value to point to the corresponding date of the building exterior wall thermal insulation material installation image from the building exterior wall area image Among them, the larger the value Q of the building exterior wall thermal insulation material installation quality performance, the better the installation quality of the building exterior wall thermal insulation material; conversely, the worse the installation quality of the building exterior wall thermal insulation material.

8. An intelligent AI-based building construction monitoring system according to claim 1, characterized in that, During the operation stage of the output module, using the mobile computer device held by the system-end user as the transmission target, the installation ratio of the thermal insulation material and the evaluation result are transmitted to the computer device through the wireless network, and the system-end user reads the installation ratio of the thermal insulation material and the evaluation result on the mobile computer; Among them, the output content of the output module also includes a trend chart representing the change in the installation ratio of the thermal insulation material.

9. An intelligent AI-based building construction monitoring system according to claim 1, characterized in that, The lower level of the uploading module is connected to an AGV module and an editing unit through wireless network interaction. The uploading module is connected to a collection module and a segmentation module through wireless network interaction. Inside the segmentation module, there is a storage unit connected through wireless network interaction. The segmentation module is connected to a monitoring module and an evaluation module through wireless network interaction. The evaluation module is connected to an output module through wireless network interaction.

10. A building construction monitoring method based on intelligent AI, which is an implementation method of a building construction monitoring system based on intelligent AI as described in any one of claims 1-9, characterized in that, It includes the following steps: Set the acquisition path of the exterior wall thermal insulation material installation image according to the building structure information. Based on the AGV device equipped with a camera, move according to the acquisition path and acquire the exterior wall thermal insulation material installation image during the movement. Segment the exterior wall thermal insulation material installation image to obtain the exterior wall area image, store the exterior wall area image, and measure the installation ratio of the building exterior wall thermal insulation material based on the stored exterior wall area image. Generate a trend chart representing the change in the installation ratio of the exterior wall thermal insulation material according to the historical measurement results of the installation ratio of the building exterior wall thermal insulation material. Traverse the exterior wall area image, pick up the exterior wall area image with full coverage of the thermal insulation material in the exterior wall area image, and evaluate the overall installation quality of the building exterior wall thermal insulation material based on the picked-up exterior wall area image. Output the installation ratio of the building exterior wall thermal insulation material and the evaluation result of the installation quality.

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