Crane installation auxiliary method and system based on image monitoring

Abstract

The invention discloses a crane installation auxiliary method and system based on image monitoring. The method comprises the following steps: acquiring image data of a crane auxiliary high-rise structure at different angles in real time; according to the image data of different angles, obtaining type information, construction size and installation structure inclination angle of the crane auxiliary high-rise structure installation part; constructing a standard database of crane installation, taking the related information of the auxiliary high-rise structure installation part of the crane obtained by the image data as a to-be-detected item, and judging whether the installation of the auxiliary high-rise structure installation part is compliant or not according to the data in the standard database; and when the related information of the crane auxiliary high-rise structure installation component has a non-compliance item, performing corresponding early warning prompt aiming at the non-compliance item, and generating a corresponding adjustment strategy. Real-time monitoring and auxiliary early warning can be carried out on the mounting compliance of the auxiliary high-rise structure of the crane, safety accidents caused by improper mounting of auxiliary high-rise structure components are avoided, and the safety of the crane in the mounting process is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of crane installation, and in particular to a crane installation auxiliary method and system based on image monitoring. Background Art

[0002] In the installation of lifting machinery, the hydraulic lifting tower is a key auxiliary high-rise structure, and its structural safety plays a decisive role in the safety of the entire construction. The current safety monitoring methods for auxiliary high-rise structures have problems such as low efficiency and complex operation. It is impossible to timely judge whether the installation of auxiliary high-rise structure components is compliant during the installation process, which is easy to cause safety accidents.

[0003] Based on this, the purpose of the present invention is to provide a crane installation assistance method and system based on image monitoring, which can perform real-time safety monitoring of the crane-assisted high-rise structure installation process, and effectively avoid safety accidents caused by non-compliant installation of auxiliary high-rise structure components. Summary of the invention

[0004] To solve the above problems, the present invention provides a crane installation assistance method and system based on image monitoring, which can perform real-time monitoring and auxiliary early warning on the compliance of crane-assisted high-rise structure installation, avoid safety accidents caused by improper installation of auxiliary high-rise structure components, and ensure the safety of the crane installation process.

[0005] In order to achieve the above technical objectives, the technical solution adopted by the present invention is: a crane installation auxiliary method based on image monitoring, comprising:

[0006] S1: Multiple image monitoring devices are deployed at the construction site to obtain real-time image data from different angles of crane-assisted tall structures;

[0007] S2: Obtaining type information, structural dimensions and installation structure inclination of crane-assisted high-rise structure installation components based on image data from different angles;

[0008] S3: Build a standard database for crane installation, use the information about the crane auxiliary high-rise structure installation components obtained from the image data as the items to be detected, and judge whether the installation of the auxiliary high-rise structure installation components is compliant based on the data in the standard database;

[0009] S4: When there are non-compliant items in the relevant information of the crane-assisted high-rise structure installation components, corresponding early warning prompts are issued for the non-compliant items, and corresponding adjustment strategies are generated.

[0010] As a possible implementation, further, in step S1, image data of the crane-assisted high-rise structure at different angles are acquired through multiple cameras, and each camera is calibrated to acquire its internal and external parameters.

[0011] As a possible implementation, further, in step S2, the type information, construction size and installation structure inclination angle of the crane-assisted high-rise structure installation component are obtained according to the image data at different angles, which specifically includes the following steps:

[0012] S2.1: grayscale processing is performed on the image data, feature points in images of different angles are obtained through feature extraction algorithms, and the same-name points are matched;

[0013] S2.2: Obtain edge position information in the image through edge detection operator, and obtain the maximum grayscale value G of the pixel at the edge position max and the minimum gray value G min , and perform weighted average processing on the grayscale values ​​of the pixels at the edge position to obtain the grayscale value G;

[0014] S2.3: Classify the pixels on both sides of the edge position in the image through a classification algorithm, and divide the edge position and its similar pixels into an overall feature;

[0015] S2.4: Locate the region corresponding to each overall feature from the grayscale image, and extract the region corresponding to each overall feature located in the grayscale image from the original image data that has not been processed by grayscale, so as to obtain the image features of the crane-assisted high-rise structure installation component;

[0016] S2.5: Identify the type information of the installation component based on the image features of the crane-assisted high-rise structure installation component, and obtain the structural dimensions and installation structure inclination data corresponding to the installation component from the image by measurement.

[0017] As a possible implementation, further, in step S2.3, the pixels on both sides of the edge position in the image are classified by a classification algorithm, and the edge position and its similar pixels are divided into an overall feature; specifically, the following steps are included:

[0018] S2.31: Calculate the feature difference of each pixel point on both sides of the edge position in the image by a classification algorithm; the classification algorithm expression is as follows:

[0019]

[0020] Among them, G' ij Represents the characteristic difference of the pixel corresponding to the coordinate (i, j); G ij represents the gray value of the pixel corresponding to the coordinate (i, j); G represents the gray value obtained by weighted average processing of the gray values ​​of the pixels at the edge position; a and b are preset fixed values;

[0021] S2.32: The feature difference G' of each pixel point on both sides of the edge position in the image is calculatedij and (G max -G min ) / 2 for comparison;

[0022] When the characteristic difference of the pixel point G' ij ≤(G max -G min ) / 2, the pixel point and the edge position are classified as the same type;

[0023] When the characteristic difference of the pixel point G' ij >(G max -G min ) / 2, the pixel and the edge position are classified as heterogeneous;

[0024] S2.33: Divide the edge position and the pixels of the same type as the edge position into an overall feature.

[0025] As a possible implementation method, further, in step S3, a standard database for crane installation is constructed, and the information related to the crane auxiliary high-rise structure installation components obtained by the image data is used as the item to be detected, and whether the installation of the auxiliary high-rise structure installation components is compliant is determined according to the data in the standard database; specifically, the following steps are included:

[0026] S3.1: construct a standard database for crane installation, wherein the standard database for crane installation includes: type information, standard construction size data, and standard installation structure inclination data of each crane auxiliary high-rise structure installation component;

[0027] S3.2: Take the structural dimensions and installation structure inclination data corresponding to the installation components obtained in step S2.5 as the items to be detected, and judge whether the structural dimensions and installation structure inclination of the installation components are compliant according to the standard structural dimension data and standard installation structure inclination data of the corresponding type of installation components in the specification database.

[0028] As a possible implementation, further, in step S3.2, the method of determining whether the structural dimensions of the installation component are compliant is as follows:

[0029] Determine whether the structural dimensions of the installation component exceed the standard structural dimension range of the corresponding type of installation component in the specification database; if not, determine that the structural dimensions of the installation component are compliant; if so, determine that the structural dimensions of the installation component are not compliant;

[0030] The method for judging whether the inclination angle of the mounting structure of the mounting component is compliant is as follows:

[0031] Determine whether the mounting structure inclination angle of the mounting component exceeds the standard mounting structure inclination angle range of the corresponding type of mounting component in the specification database; if not, determine that the mounting structure inclination angle of the mounting component is compliant; if so, determine that the mounting structure inclination angle of the mounting component is not compliant.

[0032] As a possible implementation, further, in step S4, when there are non-compliant items in the relevant information of the crane-assisted high-rise structure installation components, a corresponding early warning prompt is given for the non-compliant items, and a corresponding adjustment strategy is generated; specifically, it includes:

[0033] When the structural dimensions of the crane-assisted high-rise structure installation components are not in compliance, an early warning prompt of the structural dimension non-compliance is issued, and the adjustment method and specific adjustment value of the size of the installation components are provided according to the structural dimension data of the current installation components, so as to make the structural dimension data of the installation structure comply with the regulations;

[0034] When the inclination angle of the installation structure of the crane-assisted high-rise structure installation component is not in compliance with the regulations, an early warning prompt of the non-compliance with the inclination angle of the installation structure is issued, and based on the inclination angle data of the current installation component, an adjustment method and a specific adjustment value for the inclination angle of the installation structure of the installation component are provided to make the inclination angle of the installation structure of the installation structure comply with the regulations.

[0035] The present invention also provides a crane installation auxiliary system based on image monitoring, which applies the above-mentioned crane installation auxiliary method based on image monitoring, and the system comprises:

[0036] Image monitoring equipment, used to obtain real-time image data from different angles of crane-assisted tall structures;

[0037] An image matching unit is used to obtain feature points in images at different angles through a feature extraction algorithm and to match points with the same name;

[0038] An image recognition unit, used to recognize type information of components installed by crane-assisted tall structures;

[0039] A dimension measuring unit, used to measure and obtain structural dimension data corresponding to the installation component from the image;

[0040] An inclination measuring unit is used to measure and obtain the inclination data of the mounting structure corresponding to the mounting component from the image;

[0041] A standard database for storing type information, standard construction dimension data, and standard installation structure inclination data of each crane-assisted high-rise structure installation component;

[0042] The logic unit is used to determine whether the installation of the auxiliary high-rise structure installation components is compliant according to the data in the specification database; when there are non-compliant items in the relevant information of the crane auxiliary high-rise structure installation components, the control warning unit will issue corresponding warning prompts for the non-compliant items and generate corresponding adjustment strategies;

[0043] The early warning unit is used to perform corresponding early warning operations according to the judgment results output by the logic unit.

[0044] Based on the above, the present invention provides a computer device, the computer device comprising:

[0045] at least one processor, and

[0046] A memory and a communication interface communicatively connected to the at least one processor;

[0047] The memory stores instructions executable by the at least one processor, and the at least one processor executes the instructions stored in the memory and uses the communication interface to perform the above-mentioned crane installation auxiliary method based on image monitoring.

[0048] The present invention also provides a computer-readable storage medium, in which at least one instruction, at least one program, code set or instruction set is stored. The at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement the above-mentioned crane installation auxiliary method based on image monitoring.

[0049] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art:

[0050] 1) The present invention can conduct real-time monitoring and auxiliary early warning of the compliance of crane-assisted high-rise structure installation, and generate corresponding adjustment strategies for detected non-compliant items, which can effectively avoid safety accidents caused by non-compliant installation of auxiliary high-rise structure components, ensure the safety of the crane installation process, and is suitable for further promotion and application.

[0051] 2) The present invention can accurately extract the image features of crane-assisted high-rise structure installation components from the complex background of the image by classifying the pixel points in the image, thereby improving the accuracy of crane-assisted high-rise structure installation component type recognition and structural size and installation structure inclination measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 It is a schematic diagram of a brief implementation process of the crane installation auxiliary method based on image monitoring of the present invention;

[0054] Figure 2 A schematic diagram of a system implementation structure of a crane installation auxiliary method based on image monitoring corresponding to the solution of the present invention;

[0055] Figure 3 A schematic diagram of a module of a computer device provided by an embodiment of the present invention;

[0056] Figure 4 A schematic diagram of a computer-readable storage medium provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. It is particularly noted that the following examples are only used to illustrate the present invention, but are not intended to limit the scope of the present invention. Similarly, the following examples are only partial embodiments of the present invention rather than all embodiments, and all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present invention.

[0058] Example 1

[0059] Refer to the attached Figure 1 As shown, this embodiment provides a crane installation auxiliary method based on image monitoring, including:

[0060] S1: Arrange multiple image monitoring devices at the construction site to obtain real-time image data of different angles of the crane-assisted tall structure. In this embodiment, multiple cameras are used to obtain image data of different angles of the crane-assisted tall structure, and each camera is calibrated to obtain its internal and external parameters.

[0061] S2: Acquiring type information, structural dimensions and installation structure inclination angle of crane-assisted high-rise structure installation components according to image data at different angles; specifically comprising the following steps:

[0062] S2.1: Perform grayscale processing on the image data, obtain feature points in images of different angles through feature extraction algorithms (such as template matching method, feature-based extraction algorithm, region-based extraction method, deep learning method, etc.), and match the points with the same name to achieve matching and stitching of each image.

[0063] S2.2: Obtain edge position information in the image through edge detection operator, and obtain the maximum grayscale value G of the pixel at the edge position max and the minimum gray value G min , and perform weighted average processing on the grayscale values ​​of the pixels at the edge position to obtain the grayscale value G;

[0064] S2.3: Classify the pixels on both sides of the edge position in the image through a classification algorithm, and divide the edge position and its similar pixels into an overall feature; the specific steps are as follows:

[0065] S2.31: Calculate the feature difference of each pixel point on both sides of the edge position in the image by a classification algorithm; the classification algorithm expression is as follows:

[0066]

[0067] Among them, G' ij Represents the characteristic difference of the pixel corresponding to the coordinate (i, j); G ij represents the gray value of the pixel corresponding to the coordinate (i, j); G represents the gray value obtained by weighted averaging the gray values ​​of the pixels at the edge position; a and b are preset fixed values ​​(where a and b are usually integers between 1 and 3);

[0068] S2.32: The feature difference G' of each pixel point on both sides of the edge position in the image is calculated ij and (G max -G min ) / 2 for comparison;

[0069] When the characteristic difference of the pixel point G' ij ≤(G max -G min ) / 2, the pixel point and the edge position are classified as the same type;

[0070] When the characteristic difference of the pixel point G' ij >(G max -G min ) / 2, the pixel and the edge position are classified as heterogeneous;

[0071] S2.33: Divide the edge position and the pixels of the same type as the edge position into an overall feature.

[0072] S2.4: Locate the region corresponding to each overall feature from the grayscale image, and extract the region corresponding to each overall feature located in the grayscale image from the original image data that has not been processed by grayscale, so as to obtain the image features of the crane-assisted high-rise structure installation component;

[0073] When using images acquired by image monitoring equipment to extract features of crane-assisted high-rise structure installation components, it is difficult to accurately identify and extract image features of crane-assisted high-rise structure installation components from images because the background in construction site images is usually complex, which will lead to large errors in the subsequent measurement values ​​of the structural dimensions of the installation components and the inclination of the installation structure. The present invention can accurately extract image features of crane-assisted high-rise structure installation components from the complex background of the image by classifying and dividing the pixel points in the image, thereby improving the accuracy of crane-assisted high-rise structure installation component type recognition and structural dimensions and installation structure inclination measurement.

[0074] S2.5: Identify the type information of the installation component based on the image features of the crane-assisted high-rise structure installation component, and obtain the structural dimensions and installation structure inclination data corresponding to the installation component from the image by measurement.

[0075] S3: Build a standard database for crane installation, use the information about the crane auxiliary high-rise structure installation components obtained from the image data as the items to be detected, and judge whether the installation of the auxiliary high-rise structure installation components is compliant based on the data in the standard database; specifically include the following steps:

[0076] S3.1: construct a standard database for crane installation, wherein the standard database for crane installation includes: type information, standard construction size data, standard installation structure inclination data, etc. of each crane auxiliary high-rise structure installation component;

[0077] S3.2: Take the structural dimensions and installation structure inclination data corresponding to the installation components obtained in step S2.5 as the items to be detected, and judge whether the structural dimensions and installation structure inclination of the installation components are compliant according to the standard structural dimension data and standard installation structure inclination data of the corresponding type of installation components in the specification database.

[0078] In this embodiment, the method for judging whether the structural dimensions of the installation component are compliant is as follows:

[0079] Determine whether the structural dimensions of the installation component exceed the standard structural dimension range of the corresponding type of installation component in the specification database; if not, determine that the structural dimensions of the installation component are compliant; if so, determine that the structural dimensions of the installation component are not compliant.

[0080] The method for judging whether the inclination angle of the mounting structure of the mounting component is compliant is as follows:

[0081] Determine whether the mounting structure inclination angle of the mounting component exceeds the standard mounting structure inclination angle range of the corresponding type of mounting component in the specification database; if not, determine that the mounting structure inclination angle of the mounting component is compliant; if so, determine that the mounting structure inclination angle of the mounting component is not compliant.

[0082] S4: When there are non-compliant items in the relevant information of the crane-assisted high-rise structure installation components, corresponding early warning prompts will be issued for the non-compliant items, and corresponding adjustment strategies will be generated, including:

[0083] a) When the structural dimensions of the crane-assisted high-rise structure installation components are not in compliance, an early warning prompt of the non-compliance of the structural dimensions is issued (wherein the early warning prompt is issued in the form of text, image, voice, etc.), and an adjustment method and specific adjustment value for the dimensions of the installation components are provided based on the structural dimension data of the current installation components, so that the structural dimension data of the installation structure complies with the regulations.

[0084] For ease of understanding, an example is provided here to illustrate: when the structural dimensions of the crane-assisted high-rise structure installation components are larger than the standard structural dimension range of the corresponding type of installation components in the specification database, an early warning prompt of the non-compliance of the structural dimensions will be issued in the form of text, images, voice, etc., and an adjustment prompt information for reducing the structural dimensions will be generated, and the specific structural dimension adjustment value will be given (for example: the length or width of the installation component needs to be shortened by 10 cm), so that the operator can make relevant adjustments according to the prompt.

[0085] b) When the inclination angle of the installation structure of the crane-assisted high-rise structure installation component is not in compliance with the regulations, an early warning prompt of the non-compliance with the inclination angle of the installation structure is issued (wherein the early warning prompt is issued in the form of text, image, voice, etc.), and based on the inclination angle data of the current installation component, an adjustment method and a specific adjustment value for the inclination angle of the installation structure of the installation component are provided to make the inclination angle of the installation structure of the installation structure comply with the regulations.

[0086] For ease of understanding, an example is provided here to illustrate: when the installation structure inclination angle of the crane-assisted high-rise structure installation component is smaller than the standard installation structure inclination angle range of the corresponding type of installation component in the specification database, an early warning prompt of the non-compliance of the installation structure inclination angle is issued in the form of text, image, voice, etc., and an adjustment prompt information for increasing the installation structure inclination angle is generated, and a specific adjustment value of the installation structure inclination angle is given (for example: the installation structure inclination angle of the installation component needs to be increased by 10°), so that the operator can make relevant adjustments according to the prompt.

[0087] Example 2

[0088] Refer to the attached Figure 2As shown, an embodiment of the present invention provides a crane installation assistance system based on image monitoring, which applies the crane installation assistance method based on image monitoring in the above embodiment 1, and the system includes:

[0089] Image monitoring equipment, used to obtain real-time image data from different angles of crane-assisted tall structures;

[0090] An image matching unit is used to obtain feature points in images at different angles through a feature extraction algorithm and to match points with the same name;

[0091] An image recognition unit, used to recognize type information of components installed by crane-assisted tall structures;

[0092] A dimension measuring unit, used to measure and obtain structural dimension data corresponding to the installation component from the image;

[0093] An inclination measuring unit is used to measure and obtain the inclination data of the mounting structure corresponding to the mounting component from the image;

[0094] A standard database for storing type information, standard construction dimension data, and standard installation structure inclination data of each crane-assisted high-rise structure installation component;

[0095] The logic unit is used to determine whether the installation of the auxiliary high-rise structure installation components is compliant according to the data in the specification database; when there are non-compliant items in the relevant information of the crane auxiliary high-rise structure installation components, the control warning unit will issue corresponding warning prompts for the non-compliant items and generate corresponding adjustment strategies;

[0096] The early warning unit is used to perform corresponding early warning operations according to the judgment results output by the logic unit.

[0097] Example 3

[0098] Refer to the attached Figure 3 As shown, based on the same inventive concept, this embodiment provides a computer device, including at least one processor, and a memory and a communication interface communicatively connected to the at least one processor, Figure 3 A processor is shown as an example.

[0099] The memory stores instructions executable by the at least one processor, and the at least one processor executes the instructions stored in the memory and uses the communication interface to perform the crane installation assistance method based on image monitoring as described in Example 1.

[0100] Example 4

[0101] Refer to the attached Figure 4As shown, based on the same inventive concept, this embodiment provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed on a computer, the computer executes the crane installation assistance method based on image monitoring as described in Example 1.

[0102] In the specific implementation process, computer-readable storage media include: Universal Serial Bus flash drive (USB), mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other storage media that can store program codes.

[0103] The device embodiments described above are merely illustrative, wherein the units / modules described as separate components may or may not be physically separated, and the components displayed as units / modules may or may not be physical units / modules, i.e., they may be located in one place, or they may be distributed over multiple network units / modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0104] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0105] The above descriptions are only some embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any equivalent device or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A crane installation auxiliary method based on image monitoring, characterized in that: include: S1: Multiple image monitoring devices are deployed at the construction site to obtain real-time image data from different angles of crane-assisted tall structures; S2: Obtaining type information, structural dimensions and installation structure inclination of crane-assisted high-rise structure installation components based on image data from different angles; S3: Build a standard database for crane installation, use the information about the crane auxiliary high-rise structure installation components obtained from the image data as the items to be detected, and judge whether the installation of the auxiliary high-rise structure installation components is compliant based on the data in the standard database; S4: When there are non-compliant items in the relevant information of the crane-assisted high-rise structure installation components, corresponding early warning prompts are issued for the non-compliant items, and corresponding adjustment strategies are generated.

2. The crane installation auxiliary method based on image monitoring according to claim 1 is characterized in that: In step S1, image data of the crane-assisted high-rise structure at different angles are acquired through multiple cameras, and each camera is calibrated to acquire its internal and external parameters.

3. The crane installation auxiliary method based on image monitoring according to claim 1 is characterized in that: In step S2, the type information, structural dimensions and installation structure inclination angle of the crane-assisted high-rise structure installation components are obtained according to the image data at different angles, which specifically includes the following steps: S2.1: grayscale processing is performed on the image data, feature points in images of different angles are obtained through feature extraction algorithms, and the same-name points are matched; S2.2: Obtain edge position information in the image through edge detection operator, and obtain the maximum grayscale value G of the pixel at the edge position max and the minimum gray value G min , and perform weighted average processing on the grayscale values ​​of the pixels at the edge position to obtain the grayscale value G; S2.3: Classify the pixels on both sides of the edge position in the image through a classification algorithm, and divide the edge position and its similar pixels into an overall feature; S2.4: Locate the region corresponding to each overall feature from the grayscale image, and extract the region corresponding to each overall feature located in the grayscale image from the original image data that has not been processed by grayscale, so as to obtain the image features of the crane-assisted high-rise structure installation component; S2.5: Identify the type information of the installation component based on the image features of the crane-assisted high-rise structure installation component, and obtain the structural dimensions and installation structure inclination data corresponding to the installation component from the image by measurement.

4. The crane installation auxiliary method based on image monitoring according to claim 3 is characterized in that: In step S2.3, the pixel points on both sides of the edge position in the image are classified by a classification algorithm, and the edge position and its similar pixel points are divided into an overall feature; specifically, the following steps are included: S2.31: Calculate the feature difference of each pixel point on both sides of the edge position in the image by a classification algorithm; the classification algorithm expression is as follows: Among them, G' ij Represents the characteristic difference of the pixel corresponding to the coordinate (i, j); G ij represents the gray value of the pixel corresponding to the coordinate (i, j); G represents the gray value obtained by weighted average processing of the gray values ​​of the pixels at the edge position; a and b are preset fixed values; S2.32: The feature difference G' of each pixel point on both sides of the edge position in the image is calculated ij and (G max -G min ) / 2 for comparison; When the characteristic difference of the pixel point G' ij ≤(G max -G min ) / 2, the pixel point and the edge position are classified as the same type; When the characteristic difference of the pixel point G' ij >(G max -G min ) / 2, the pixel and the edge position are classified as heterogeneous; S2.33: Divide the edge position and the pixels of the same type as the edge position into an overall feature.

5. The crane installation auxiliary method based on image monitoring according to claim 3 is characterized in that: In step S3, a standard database for crane installation is constructed, and the information related to the crane auxiliary high-rise structure installation components obtained from the image data is used as the item to be detected. According to the data in the standard database, it is determined whether the installation of the auxiliary high-rise structure installation components is compliant; specifically, the following steps are included: S3.1: construct a standard database for crane installation, wherein the standard database for crane installation includes: type information, standard construction size data, and standard installation structure inclination data of each crane auxiliary high-rise structure installation component; S3.2: Take the structural dimensions and installation structure inclination data corresponding to the installation components obtained in step S2.5 as the items to be detected, and judge whether the structural dimensions and installation structure inclination of the installation components are compliant according to the standard structural dimension data and standard installation structure inclination data of the corresponding type of installation components in the specification database.

6. The crane installation auxiliary method based on image monitoring according to claim 5 is characterized in that: In step S3.2, the method for determining whether the structural dimensions of the installation component are in compliance is as follows: Determine whether the structural dimensions of the installation component exceed the standard structural dimension range of the corresponding type of installation component in the specification database; if not, determine that the structural dimensions of the installation component are compliant; If yes, it is determined that the structural dimensions of the installation component are not in compliance; The method for judging whether the inclination angle of the mounting structure of the mounting component is compliant is as follows: Determine whether the mounting structure inclination angle of the mounting component exceeds the standard mounting structure inclination angle range of the corresponding type of mounting component in the specification database; if not, determine that the mounting structure inclination angle of the mounting component is compliant; if so, determine that the mounting structure inclination angle of the mounting component is not compliant.

7. The crane installation auxiliary method based on image monitoring according to claim 6 is characterized in that: In step S4, when there are non-compliant items in the relevant information of the crane-assisted high-rise structure installation components, a corresponding early warning prompt is issued for the non-compliant items, and a corresponding adjustment strategy is generated; Specifically include: When the structural dimensions of the crane-assisted high-rise structure installation components are not in compliance, an early warning prompt of the structural dimension non-compliance is issued, and the adjustment method and specific adjustment value of the size of the installation components are provided according to the structural dimension data of the current installation components, so as to make the structural dimension data of the installation structure comply with the regulations; When the inclination angle of the installation structure of the crane-assisted high-rise structure installation component is not in compliance with the regulations, an early warning prompt of the non-compliance with the inclination angle of the installation structure is issued, and based on the inclination angle data of the current installation component, an adjustment method and a specific adjustment value for the inclination angle of the installation structure of the installation component are provided to make the inclination angle of the installation structure of the installation structure comply with the regulations.

8. A crane installation auxiliary system based on image monitoring, characterized in that: The crane installation auxiliary method based on image monitoring as claimed in any one of claims 1 to 7 is applied, and the system comprises: Image monitoring equipment, used to obtain real-time image data from different angles of crane-assisted tall structures; An image matching unit is used to obtain feature points in images at different angles through a feature extraction algorithm and to match points with the same name; An image recognition unit, used to recognize type information of components installed by crane-assisted tall structures; A dimension measuring unit, used to measure and obtain structural dimension data corresponding to the installation component from the image; An inclination measuring unit is used to measure and obtain the inclination data of the mounting structure corresponding to the mounting component from the image; A standard database for storing type information, standard construction dimension data, and standard installation structure inclination data of each crane-assisted high-rise structure installation component; The logic unit is used to determine whether the installation of the auxiliary high-rise structure installation components is compliant according to the data in the specification database; when there are non-compliant items in the relevant information of the crane auxiliary high-rise structure installation components, the control warning unit will issue a corresponding warning prompt for the non-compliant items and generate a corresponding adjustment strategy; The early warning unit is used to perform corresponding early warning operations according to the judgment results output by the logic unit.

9. A computer device, characterized in that: The computer device comprises: at least one processor, and A memory and a communication interface communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, and the at least one processor executes the instructions stored in the memory and uses the communication interface to perform the crane installation assistance method based on image monitoring as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the crane installation assistance method based on image monitoring as described in any one of claims 1 to 7 is implemented.

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