Intelligent monitoring system and method for civil engineering building structure

Abstract

The invention belongs to the technical field of construction monitoring, and discloses a civil engineering building structure intelligent monitoring system and method, and the method comprises the following steps: obtaining a site construction plan, determining a monitoring region of each monitoring device in the site construction plan, and enabling a building structure needing to be monitored to exist in the monitoring region; a calibration area is determined according to the coincidence relation between the building structure and the monitoring area corresponding to the monitoring equipment, a plurality of monitoring points are arranged in the calibration area, and the appearance characteristics of the monitoring points are different from the appearance characteristics of the building structure; acquiring video data acquired by the monitoring equipment, and extracting a monitoring picture according to the position of the calibration area and a preset time step length to obtain an image judgment basis; the monitoring point image in the image judgment basis is identified, whether the building structure is unstable or not is determined through geometric parameter analysis, and if the building structure is unstable, an alarm is given out in time; according to the method, whether instability phenomena such as monitoring point displacement occur or not can be judged, and construction safety is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction monitoring, and in particular, relates to an intelligent monitoring system and method for civil engineering building structures. Background Art

[0002] Civil engineering is a general term for the science and technology of building various land engineering facilities; it refers to the materials and equipment used, as well as the technical activities such as survey, design, construction, maintenance, and repair carried out, as well as the objects of engineering construction; that is, various engineering facilities built on the ground, underground, or on land, which directly or indirectly serve human life, production, military affairs, and scientific research.

[0003] In the current civil engineering construction process, the settlement and deformation of building structures will cause major production safety accidents. However, in the existing technology, the means for monitoring the deformation and settlement of building structures are single and cannot achieve automatic monitoring. Summary of the invention

[0004] The main technical problem to be solved by the present invention is to provide a civil engineering building structure intelligent monitoring system and method, which can monitor whether the building structure is unstable in real time, realize automatic monitoring operation of the performance of the building structure, and improve the use effect.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: The intelligent monitoring method for civil engineering building structure comprises the following steps: Obtain the on-site construction plan, determine the monitoring area of ​​each monitoring device in the on-site construction plan, and determine whether there is a building structure that needs to be monitored in the monitoring area; The calibration area is determined according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring equipment, and a plurality of monitoring points are set in the calibration area, and the appearance characteristics of the monitoring points are different from the appearance characteristics of the building structure; Obtain the video data collected by the monitoring equipment, extract the monitoring screen according to the location of the calibration area and the preset time step, and obtain the basis for image judgment; The monitoring point images in the image judgment basis are identified, and by performing geometric parameter analysis, it is determined whether the building structure is unstable. If instability occurs, an alarm is issued in time.

[0006] The following is a further optimization of the above technical solution by the present invention: The step of determining the calibration area according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring equipment specifically includes: Construct a three-dimensional building construction model based on the on-site construction plan, and the three-dimensional building construction model includes a monitoring equipment model and a building structure model; Query the working parameters of each monitoring device and determine the monitoring angle of each monitoring device; The monitoring range is determined based on the monitoring angle, and the overlapping area between the monitoring range and the building structure is used as the calibration area.

[0007] Further optimization: The step of obtaining the video data collected by the monitoring device, extracting the monitoring picture according to the position of the calibration area and the preset time step, and obtaining the image determination basis specifically includes: Obtain video data collected by monitoring equipment, extract images according to a preset time step, and obtain images to be identified; The image to be identified is screened according to the monitoring device corresponding to the calibration area to obtain a screened image; The filtered images are preprocessed, grayscale processing and cropping are completed on the filtered images, and a basis for image determination is obtained.

[0008] Further optimization: The step of identifying the monitoring point image in the image determination basis and determining whether the building structure is unstable by performing geometric parameter analysis specifically includes: The monitoring points in the image determination basis are extracted according to the preset monitoring point standard image to obtain the monitoring point image; Identify the monitoring point positions in the monitoring point image and determine the central calibration point of each monitoring point; Determine whether the building structure is unstable based on the geometric position relationship between the central calibration points.

[0009] Further optimization: the number of monitoring points set is at least three.

[0010] Further optimization: the geometric position relationship at least includes the connecting line angle and the point spacing.

[0011] The present invention also provides a civil engineering building structure intelligent monitoring system for executing the above civil engineering building structure intelligent monitoring method, the system comprising: A data acquisition module is used to obtain the on-site construction plan, determine the monitoring area of ​​each monitoring device in the on-site construction plan, and determine whether there is a building structure that needs to be monitored in the monitoring area; A monitoring point setting module is used to determine a calibration area according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring equipment, and to set a plurality of monitoring points in the calibration area, wherein the appearance characteristics of the monitoring points are different from the appearance characteristics of the building structure; The monitoring data acquisition module is used to obtain the video data collected by the monitoring equipment, extract the monitoring picture according to the position of the calibration area and the preset time step, and obtain the basis for image judgment; The instability determination module is used to identify the monitoring point images in the image determination basis, and determine whether the building structure is unstable by performing geometric parameter analysis. If instability occurs, an alarm is issued in a timely manner.

[0012] Further optimization: The monitoring point setting module includes: A three-dimensional model building unit, used to build a three-dimensional model of the building construction based on the on-site construction plan, the three-dimensional model of the building construction including a monitoring equipment model and a building structure model; A monitoring device parameter extraction unit is used to query the working parameters of each monitoring device and determine the monitoring angle of each monitoring device; The monitoring area calibration unit is used to determine the monitoring range based on the monitoring angle, and take the overlapping area between the monitoring range and the building structure as the calibration area.

[0013] Further optimization: The monitoring data acquisition module includes: The image extraction unit is used to obtain the video data collected by the monitoring device, perform image extraction according to a preset time step, and obtain an image to be identified; An image screening unit, used for screening the image to be identified according to the monitoring device corresponding to the calibration area to obtain a screened image; The image preprocessing unit is used to preprocess the filtered image, complete the grayscale processing and cropping of the filtered image, and obtain the basis for image determination.

[0014] Further optimization: the instability determination module includes: An image data extraction unit, used to extract the monitoring points in the image determination basis according to a preset monitoring point standard image to obtain a monitoring point image; A monitoring point recognition unit, used to recognize the location of the monitoring point in the monitoring point image and determine the central calibration point of each monitoring point; The abnormality determination unit is used to determine whether the building structure is unstable based on the geometric position relationship between the central calibration points.

[0015] The present invention adopts the above technical scheme, which has an ingenious conception and a reasonable structure. By setting up multiple monitoring points in the monitoring area, the monitoring equipment set up on site is used to collect images, and the monitoring points are identified according to the collected images to determine whether there are instability phenomena such as monitoring point displacement, and then determine whether the building structure has instability phenomena such as settlement and deformation, thereby achieving the purpose of abnormal monitoring of the building structure and ensuring the safety of the construction process. The overall structure is simple and easy to use, which can improve the use effect.

[0016] The present invention is further described below in conjunction with the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Flow chart of the intelligent monitoring method for civil engineering building structure in an embodiment of the present invention; Figure 2 is a detailed flow chart of S200 in an embodiment of the present invention; Figure 3 is a detailed flow chart of S300 in an embodiment of the present invention; Figure 4 is a detailed flow chart of S400 in an embodiment of the present invention; Figure 5 It is a structural diagram of the intelligent monitoring system for civil engineering building structures in an embodiment of the present invention; Figure 6 This is a schematic diagram of a monitoring point setting module in an embodiment of the present invention; Figure 7 This is a diagram of the architecture of a monitoring data acquisition module in an embodiment of the present invention; Figure 8 4 is a schematic diagram of an instability determination module in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] like Figure 1 As shown, the intelligent monitoring method for civil engineering building structure includes the following steps: S100, obtaining a site construction plan, determining a monitoring area of ​​each monitoring device in the site construction plan, and determining whether there is a building structure that needs to be monitored in the monitoring area.

[0019] In this step: obtain the on-site construction plan. In the early stage of building construction, the on-site construction plan has been determined and can be obtained directly. Multiple monitoring devices will be set up at the construction site to monitor the construction safety on site. Therefore, the installation position of each monitoring device and the monitoring area of ​​each monitoring device are recorded in the on-site construction plan. The building structure to be monitored must be located in the monitoring area, such as the foundation pit. In order to facilitate monitoring, multiple monitoring devices need to be set up at the construction site, and at least one monitoring device can capture the monitored area.

[0020] S200, determining a calibration area according to an overlap relationship between the building structure and the monitoring area corresponding to the monitoring device, and setting a plurality of monitoring points in the calibration area, wherein the appearance characteristics of the monitoring points are different from the appearance characteristics of the building structure.

[0021] In this step: a calibration area is determined according to the overlapping relationship between the building structure and the monitoring area corresponding to the monitoring equipment. In order to determine the monitoring relationship between each monitoring equipment and the building structure, a three-dimensional model of the construction site is constructed according to the on-site construction plan, and the image acquisition parameters of each monitoring equipment are already determined. Therefore, the monitoring range of each monitoring equipment can be determined according to the three-dimensional model. After the monitoring range is determined, the calibration area is determined according to the position of the monitored area. The calibration area is the monitoring area for monitoring the stability of the building structure. A plurality of monitoring points are set in the calibration area. Specifically, a rod can be buried and a marker of a special shape or appearance can be fixed on the top of the rod. The marker is a red sphere with a color different from that of the on-site construction environment. A black cross mark is set on the surface of the red sphere. The shape and color of the marker are determined according to the on-site building structure so that the two can be easily distinguished. The number of monitoring points set is at least three.

[0022] S300, obtaining video data collected by the monitoring device, extracting the monitoring picture according to the position of the calibration area and the preset time step, and obtaining the image determination basis.

[0023] In this step: obtain the video data collected by the monitoring equipment, start multiple monitoring devices on site during monitoring, and the monitoring devices on site can also remain started. When it is necessary to monitor the building structure, export the corresponding monitoring video from the monitoring equipment. Even if the building structure becomes unstable, the entire process is relatively slow and is a gradual process. Therefore, real-time analysis is not required for monitoring. Specifically, monitoring can be performed according to a preset time step, such as stability monitoring every hour. During monitoring, multiple frames are extracted from the exported video to obtain a basis for image judgment.

[0024] S400, identifying the monitoring point image in the image determination basis, and determining whether the building structure is unstable by performing geometric parameter analysis, and if unstable, issuing an alarm in time.

[0025] In this step: the monitoring point image in the image determination basis is identified. Specifically, first, the markers on the monitoring points in the extracted picture frame are determined according to the preset reference object recognition standard, and the center position of each marker is determined, and then a geometric model is constructed. The center positions of the entire plurality of monitoring points are connected by connecting lines, so that the polygonal area enclosed by the center positions of the monitoring points located on the edge is divided into multiple triangles, and the side length and angle of each triangle are extracted. The side length is determined by the number of pixels, and the angle is obtained by calculation to obtain geometric parameters. When at least one geometric parameter changes and the change exceeds the preset value, it is determined that the building structure is abnormal, there is a construction risk, and an alarm needs to be issued.

[0026] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of determining the calibration area according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring device specifically includes: S201, constructing a three-dimensional building construction model based on the on-site construction plan, wherein the three-dimensional building construction model includes a monitoring equipment model and a building structure model.

[0027] In this step, a three-dimensional model of the building construction is constructed based on the on-site construction plan. The on-site construction plan records the work purpose of each area, such as the material area, processing area, construction area, etc., so that the area that needs to be monitored can be determined, and the location of each monitoring device can be determined. The three-dimensional model is constructed based on the above information, and the modeling is performed at a 1:1 ratio to obtain the three-dimensional model of the building construction.

[0028] S202, querying the working parameters of each monitoring device to determine the monitoring angle of each monitoring device.

[0029] In this step, the working parameters of each monitoring device are queried. The working parameters include at least image acquisition angle, installation height, image acquisition direction, etc., that is, the monitoring angle of each monitoring device is determined. At different monitoring angles, the content captured by the monitoring device is different.

[0030] S203, determining a monitoring range based on the monitoring angle, and taking an overlapping area between the monitoring range and the building structure as a calibration area.

[0031] In this step, the monitoring range is determined based on the monitoring angle, and the monitoring area is simulated in the three-dimensional model of the building construction. Specifically, the monitoring equipment can be used as the transmitting point, and a monitoring range model can be generated based on the working parameters of the monitoring equipment to determine the relationship between the area to be monitored and the monitoring range, and obtain the calibration area.

[0032] like Figure 3 As shown, as a preferred embodiment of the present invention, the step of obtaining the video data collected by the monitoring device, extracting the monitoring picture according to the position of the calibration area and the preset time step, and obtaining the image determination basis specifically includes: S301, obtaining video data collected by a monitoring device, extracting images according to a preset time step, and obtaining an image to be identified.

[0033] In this step, the video data collected by the monitoring equipment is obtained. The monitoring equipment continuously collects video. In order to save resources and reduce the amount of calculation, the picture frame is extracted according to the preset time step. Different time steps can be set for different risk times. For example, during construction or bad weather, a smaller time step is set, such as monitoring once every ten minutes. For non-construction periods and stable weather conditions, a larger step is set, such as monitoring once every three hours.

[0034] S302, filtering the image to be identified according to the monitoring device corresponding to the calibrated area to obtain a filtered image.

[0035] In this step, the images to be identified are screened according to the monitoring devices corresponding to the calibrated area. Through the screening, only the images to be identified within the calibrated area are retained to reduce the amount of data processing, and finally a small number of screened images are obtained.

[0036] S303, pre-processing the filtered images, completing grayscale processing and cropping of the filtered images, and obtaining image determination basis.

[0037] In this step, the screened images are preprocessed. Specifically, grayscale processing is performed to further reduce the amount of data processing and retain the appearance information. If the marker uses a special color for distinction, grayscale processing is not performed. The processed images are stored to obtain the basis for image judgment.

[0038] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of identifying the monitoring point image in the image determination basis and determining whether the building structure is unstable by performing geometric parameter analysis specifically includes: S401, extracting monitoring points in the image determination basis according to a preset monitoring point standard image to obtain a monitoring point image.

[0039] S402, identifying the monitoring point positions in the monitoring point image, and determining the central calibration point of each monitoring point.

[0040] In this step, the monitoring points in the image determination basis are extracted according to the preset monitoring point standard image. In order to identify the monitoring points, a marker image for comparison is preset. By extracting the image, it is compared with the preset marker image to determine the position of the marker, thereby determining the position of the monitoring point. Subsequently, a two-dimensional coordinate system is constructed in the monitoring point image to determine the position of each coordinate, and the position average value of each pixel corresponding to the marker is calculated, such as the horizontal coordinate average value and the vertical coordinate average value, and the horizontal coordinate average value and the vertical coordinate average value are used as the central calibration point of the monitoring point.

[0041] S403: Determine whether the building structure is unstable based on the geometric position relationship between the central calibration points.

[0042] In this step, whether the building structure is unstable is determined based on the geometric position relationship between the center calibration points. Specifically, the geometric position relationship includes at least the line angle and the point spacing. A number is set for each center calibration point, and the outermost center calibration points in the picture are connected by line segments. Then the center calibration points are selected one by one according to the number, and each center calibration point is connected to all other center calibration points by line segments. If the line segments coincide, the current line segment is discarded. Finally, the area formed by the outermost center calibration points enclosed by the line segments is divided into multiple triangular areas, and the side length and angle of each triangle are extracted. The side length is determined by the number of pixels, and the angle is obtained by calculation to obtain geometric parameters. When at least one geometric parameter changes and the change exceeds the preset value, it is determined that the building structure is abnormal and there is a construction risk, and then it is determined that the building structure is unstable and an alarm needs to be issued.

[0043] like Figure 5 As shown, the present invention also provides a civil engineering building structure intelligent monitoring system for executing the above civil engineering building structure intelligent monitoring method, the system comprising: The data acquisition module 100 is used to acquire the on-site construction plan, determine the monitoring area of ​​each monitoring device in the on-site construction plan, and determine whether there is a building structure that needs to be monitored in the monitoring area.

[0044] In this system, the data acquisition module 100 obtains the on-site construction plan. In the early stage of building construction, the on-site construction plan has been determined and can be directly obtained. Multiple monitoring devices will be set up at the construction site to monitor the construction safety on site. Therefore, the installation position of each monitoring device and the monitoring area of ​​each monitoring device are recorded in the on-site construction plan. The building structure to be monitored must be located in the monitoring area, such as a foundation pit. In order to facilitate monitoring, multiple monitoring devices need to be set up on site, and at least one monitoring device can capture the monitored area.

[0045] The monitoring point setting module 200 is used to determine the calibration area according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring equipment, and set multiple monitoring points in the calibration area, and the appearance characteristics of the monitoring points are different from the appearance characteristics of the building structure.

[0046] In this system, the monitoring point setting module 200 determines the calibration area according to the overlapping relationship between the building structure and the monitoring area corresponding to the monitoring equipment. In order to determine the monitoring relationship between each monitoring equipment and the building structure, a three-dimensional model of the construction site is constructed according to the on-site construction plan, and the image acquisition parameters of each monitoring equipment are already determined. Therefore, the monitoring range of each monitoring equipment can be determined according to the three-dimensional model. After determining the monitoring range, the calibration area is determined according to the position of the monitored area. The calibration area is the monitoring area for monitoring the stability of the building structure. Monitoring points are set in the above-mentioned calibration area. Specifically, a rod can be buried and a marker of a special shape or appearance can be fixed on the top of the rod. The marker is a red sphere with a color different from that of the on-site construction environment. A black cross mark is set on the surface of the red sphere. The shape and color of the marker are determined according to the on-site building structure, so that the two can be easily distinguished.

[0047] The monitoring data acquisition module 300 is used to obtain the video data collected by the monitoring equipment, extract the monitoring picture according to the position of the calibration area and the preset time step, and obtain the image determination basis.

[0048] In this system, the monitoring data acquisition module 300 obtains the video data collected by the monitoring equipment. When monitoring is carried out, multiple monitoring devices on site are started, and the monitoring devices on site can also remain started. When it is necessary to monitor the building structure, the corresponding monitoring video can be exported from the monitoring equipment. Even if the building structure is unstable, the whole process is relatively slow and is a gradual development process. Therefore, real-time analysis is not required for monitoring. Specifically, monitoring can be carried out according to a preset time step, such as stability monitoring every hour. During monitoring, multiple frames are extracted from the exported video to obtain a basis for image judgment.

[0049] The instability determination module 400 is used to identify the monitoring point image in the image determination basis, and determine whether the building structure is unstable by performing geometric parameter analysis. If instability occurs, an alarm is issued in time.

[0050] In this system, the instability determination module 400 identifies the monitoring point image in the image determination basis. Specifically, firstly, the markers on the monitoring points in the extracted picture frame are determined according to the preset reference object recognition standard, and the center position of each marker is determined, and then a geometric model is constructed. The center positions of the entire plurality of monitoring points are connected by connecting lines, so that the polygonal area formed by the center positions of the monitoring points located on the edge is divided into multiple triangles, and the side length and angle of each triangle are extracted. The side length is determined by the number of pixels, and the angle is obtained by calculation to obtain geometric parameters. When at least one geometric parameter changes and the change exceeds the preset value, it is determined that the building structure is abnormal, there is a construction risk, and an alarm needs to be issued.

[0051] like Figure 6 As shown, as a preferred embodiment of the present invention, the monitoring point setting module 200 includes: The three-dimensional model building unit 201 is used to build a three-dimensional model of the building construction based on the on-site construction plan. The three-dimensional model of the building construction includes a monitoring equipment model and a building structure model.

[0052] In this module, the three-dimensional model construction unit 201 constructs a three-dimensional model of the building construction based on the on-site construction plan. The on-site construction plan records the work purpose of each area, such as the material area, processing area, construction area, etc. Based on this, the area that needs to be monitored can be determined, and the location of each monitoring equipment can be determined. The three-dimensional model is constructed based on the above information, and the modeling is performed at a 1:1 ratio to obtain the three-dimensional model of the building construction.

[0053] The monitoring device parameter extraction unit 202 is used to query the working parameters of each monitoring device and determine the monitoring angle of each monitoring device.

[0054] In this module, the monitoring device parameter extraction unit 202 queries the working parameters of each monitoring device. The working parameters include at least image acquisition angle, installation height, image acquisition direction, etc., that is, determining the monitoring angle of each monitoring device. At different monitoring angles, the content captured by the monitoring device is different.

[0055] The monitoring area calibration unit 203 is used to determine the monitoring range based on the monitoring angle, and take the overlapping area between the monitoring range and the building structure as the calibration area.

[0056] In this module, the monitoring area calibration unit 203 determines the monitoring range based on the monitoring angle, and simulates the monitoring area in the three-dimensional model of the building construction. Specifically, the monitoring equipment can be used as the emission point, and a monitoring range model can be generated based on the working parameters of the monitoring equipment to determine the relationship between the area to be monitored and the monitoring range, and obtain the calibration area.

[0057] like Figure 7 As shown, as a preferred embodiment of the present invention, the monitoring data acquisition module 300 includes: The image extraction unit 301 is used to obtain video data collected by the monitoring device, perform image extraction according to a preset time step, and obtain an image to be identified.

[0058] In this module, the picture extraction unit 301 obtains the video data collected by the monitoring equipment. The monitoring equipment continuously collects videos. In order to save resources and reduce the amount of calculation, the picture frame extraction is performed according to the preset time step. Different time steps can be set for different risk times. For example, during construction or bad weather, a smaller time step is set, such as monitoring once every ten minutes. For non-construction periods and stable weather conditions, a larger step is set, such as monitoring once every three hours.

[0059] The image screening unit 302 is used to screen the image to be identified according to the monitoring device corresponding to the calibrated area to obtain a screened image.

[0060] In this module, the image screening unit 302 screens the images to be identified according to the monitoring devices corresponding to the calibrated area. Through screening, only the images to be identified within the calibrated area are retained to reduce the amount of data processing, and finally a small number of screened images are obtained.

[0061] The image preprocessing unit 303 is used to preprocess the filtered image, complete grayscale processing and cropping of the filtered image, and obtain image determination basis.

[0062] In this module, the image preprocessing unit 303 preprocesses the filtered images. Specifically, the amount of data processing is further reduced by performing grayscale processing, and the appearance information can be retained. If the marker uses a special color for distinction, grayscale processing is not performed. The processed image is stored to obtain a basis for image judgment.

[0063] like Figure 8 As shown, as a preferred embodiment of the present invention, the instability determination module 400 includes: The image data extraction unit 401 is used to extract the monitoring points in the image determination basis according to the preset monitoring point standard image to obtain the monitoring point image.

[0064] In this module, the image data extraction unit 401 extracts the monitoring points in the image determination basis according to the preset monitoring point standard image. In order to identify the monitoring points, a marker image for comparison is preset. By performing image extraction, it is compared with the preset marker image to determine the position of the marker, thereby determining the position of the monitoring point. Subsequently, a two-dimensional coordinate system is constructed in the monitoring point image to determine the position of each coordinate, and the position average value of each pixel corresponding to the marker is calculated, such as the horizontal coordinate average value and the vertical coordinate average value, and the horizontal coordinate average value and the vertical coordinate average value are used as the center calibration point of the monitoring point.

[0065] The monitoring point identification unit 402 is used to identify the monitoring point position in the monitoring point image and determine the central calibration point of each monitoring point.

[0066] The abnormality determination unit 403 is used to determine whether the building structure is unstable according to the geometric position relationship between the central calibration points.

[0067] In this module, the abnormality determination unit 403 determines whether the building structure is unstable according to the geometric position relationship between the central calibration points. Specifically, a number is set for each central calibration point, and the outermost central calibration points in the picture are connected by line segments. Then, the central calibration points are selected one by one according to the number, and each central calibration point is connected to all other central calibration points by line segments. If the line segments coincide, the current line segment is discarded. Finally, the area formed by the outermost central calibration points enclosed by the line segments is divided into multiple triangular areas, and the side length and angle of each triangle are extracted. The side length is determined by the number of pixels, and the angle is obtained by calculation to obtain geometric parameters. When at least one geometric parameter changes and the change exceeds the preset value, it is determined that the building structure is abnormal and there is a construction risk, and then it is determined that the building structure is unstable and an alarm needs to be issued.

[0068] It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows; unless otherwise clearly stated in this document, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders; moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternation with other steps or at least a part of the sub-steps or stages of other steps.

[0069] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods; wherein, any reference to memory, storage, database or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memory; non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory; volatile memory can include random access memory (RAM) or external cache memory; as an illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0070] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0071] The above-mentioned embodiments only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the patent scope of the present invention. It should be pointed out that, for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

[0072] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent monitoring method for civil engineering building structures, characterized in that: The following steps are involved: Obtain the on-site construction plan, determine the monitoring area of ​​each monitoring device in the on-site construction plan, and determine whether there is a building structure that needs to be monitored in the monitoring area; The calibration area is determined according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring equipment, and a plurality of monitoring points are set in the calibration area, and the appearance characteristics of the monitoring points are different from the appearance characteristics of the building structure; Obtain the video data collected by the monitoring equipment, extract the monitoring screen according to the location of the calibration area and the preset time step, and obtain the basis for image judgment; The monitoring point images in the image judgment basis are identified, and by performing geometric parameter analysis, it is determined whether the building structure is unstable. If instability occurs, an alarm is issued in time.

2. The intelligent monitoring method for civil engineering building structure according to claim 1, characterized in that: The step of determining the calibration area according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring equipment specifically includes: Construct a three-dimensional building construction model based on the on-site construction plan, and the three-dimensional building construction model includes a monitoring equipment model and a building structure model; Query the working parameters of each monitoring device and determine the monitoring angle of each monitoring device; The monitoring range is determined based on the monitoring angle, and the overlapping area between the monitoring range and the building structure is used as the calibration area.

3. The intelligent monitoring method for civil engineering building structure according to claim 2 is characterized in that: The step of obtaining the video data collected by the monitoring device, extracting the monitoring picture according to the position of the calibration area and the preset time step, and obtaining the image determination basis specifically includes: Obtain video data collected by monitoring equipment, extract images according to a preset time step, and obtain images to be identified; The image to be identified is screened according to the monitoring device corresponding to the calibration area to obtain a screened image; The filtered images are preprocessed, grayscale processing and cropping are completed on the filtered images, and a basis for image determination is obtained.

4. The intelligent monitoring method for civil engineering building structure according to claim 3 is characterized in that: The step of identifying the monitoring point image in the image determination basis and determining whether the building structure is unstable by performing geometric parameter analysis specifically includes: The monitoring points in the image determination basis are extracted according to the preset monitoring point standard image to obtain the monitoring point image; Identify the monitoring point positions in the monitoring point image and determine the central calibration point of each monitoring point; Determine whether the building structure is unstable based on the geometric position relationship between the central calibration points.

5. The intelligent monitoring method for civil engineering building structure according to claim 4 is characterized in that: The number of the monitoring points is at least three.

6. The intelligent monitoring method for civil engineering building structure according to claim 5, characterized in that: The geometric position relationship at least includes the line angle and the point spacing.

7. A civil engineering building structure intelligent monitoring system, used to implement the civil engineering building structure intelligent monitoring method according to claim 6, characterized in that: The system comprises: A data acquisition module is used to obtain the on-site construction plan, determine the monitoring area of ​​each monitoring device in the on-site construction plan, and determine whether there is a building structure that needs to be monitored in the monitoring area; A monitoring point setting module is used to determine a calibration area according to the overlap relationship between the building structure and the monitoring area corresponding to the monitoring equipment, and to set a plurality of monitoring points in the calibration area, wherein the appearance characteristics of the monitoring points are different from the appearance characteristics of the building structure; The monitoring data acquisition module is used to obtain the video data collected by the monitoring equipment, extract the monitoring picture according to the position of the calibration area and the preset time step, and obtain the basis for image judgment; The instability determination module is used to identify the monitoring point images in the image determination basis, and determine whether the building structure is unstable by performing geometric parameter analysis. If instability occurs, an alarm is issued in a timely manner.

8. The intelligent monitoring system for civil engineering building structures according to claim 7 is characterized in that: The monitoring point setting module includes: A three-dimensional model building unit, used to build a three-dimensional model of the building construction based on the on-site construction plan, the three-dimensional model of the building construction including a monitoring equipment model and a building structure model; A monitoring device parameter extraction unit is used to query the working parameters of each monitoring device and determine the monitoring angle of each monitoring device; The monitoring area calibration unit is used to determine the monitoring range based on the monitoring angle, and take the overlapping area between the monitoring range and the building structure as the calibration area.

9. The intelligent monitoring system for civil engineering building structures according to claim 8, characterized in that: The monitoring data acquisition module comprises: The image extraction unit is used to obtain the video data collected by the monitoring device, perform image extraction according to a preset time step, and obtain an image to be identified; An image screening unit, used for screening the image to be identified according to the monitoring device corresponding to the calibration area to obtain a screened image; The image preprocessing unit is used to preprocess the filtered image, complete the grayscale processing and cropping of the filtered image, and obtain the basis for image determination.

10. The intelligent monitoring system for civil engineering building structures according to claim 9, characterized in that: The instability determination module comprises: An image data extraction unit, used to extract the monitoring points in the image determination basis according to a preset monitoring point standard image to obtain a monitoring point image; A monitoring point recognition unit, used to recognize the location of the monitoring point in the monitoring point image and determine the central calibration point of each monitoring point; The abnormality determination unit is used to determine whether the building structure is unstable based on the geometric position relationship between the central calibration points.

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