Construction hoisting mechanical equipment mounting and dismounting side station safety inspection method and inspection handheld terminal

Abstract

The invention discloses a building hoisting mechanical equipment mounting and dismounting side station safety inspection method and an inspection handheld terminal, and relates to the technical field of safety inspection, and the method comprises the steps: obtaining inspection images corresponding to inspection parts and inspection descriptions of the inspection parts according to the inspection parts preset in an inspection template; acquiring a brightness component of the inspection image, and performing illumination image enhancement processing on the inspection image according to the brightness component; determining the first image subjected to image denoising processing and contrast enhancement processing as a second image; fusing each time watermark with the corresponding second image to obtain a third image embedded with the time watermark; and writing the third image and the corresponding inspection description into a corresponding position in the inspection template to complete the safety inspection of the corresponding mechanical equipment. Due to the addition of the pictures, compared with a traditional check table, the check mode is easier to accept by new people, and check parts and key points are clear and clear at a glance.

Description

Technical Field

[0001] The present invention relates to the technical field of safety inspection, and more specifically, to a safety inspection method for installation and disassembly of building hoisting machinery and equipment and an inspection handheld terminal. Background Art

[0002] The implementation of patrol inspections for construction lifting machinery has become the focus of construction companies' safety management of lifting machinery. Since there are many parts to be inspected for equipment and most inspections are currently done manually, personnel may be negligent in their work, and the equipment inspection status is only reflected in text on the inspection form, which leads to disputes over credibility and the time when problems occurred, and inspected parts may also be missed. Summary of the invention

[0003] The object of the present invention is to provide a construction hoisting machinery installation and disassembly on-site safety inspection method and an inspection handheld terminal to solve the problems existing in the above-mentioned background technology.

[0004] The above technical objectives of the present invention are achieved through the following technical solutions: In the first aspect, the present application provides a method for safety inspection of installation and disassembly of construction lifting machinery and equipment, including the following specific steps: Call the inspection template corresponding to each mechanical equipment, and obtain the inspection image corresponding to each inspection part and the inspection description of each inspection part according to the inspection parts preset in the inspection template; For each inspection image, a brightness component of the inspection image is obtained, and a light image enhancement process is performed on the inspection image according to the brightness component to obtain a first image corresponding to the inspection image; performing image denoising and contrast enhancement processing on each first image in sequence, and determining the first image that has undergone the image denoising and contrast enhancement processing as the second image; According to the acquisition time of each inspection image, a time watermark recording each acquisition time is generated, and each time watermark is fused with the corresponding second image to obtain a third image embedded with the time watermark; The third image and the corresponding inspection description are written into the corresponding positions in the inspection template until all inspection positions in the inspection template are written with the corresponding inspection contents to complete the safety inspection of the corresponding mechanical equipment, wherein the inspection contents include the third image and the inspection description.

[0005] Based on the above technical solution, the present invention can also be improved as follows.

[0006] Furthermore, the brightness component of the inspection image is obtained, and the illumination image enhancement processing is performed on the inspection image according to the brightness component to obtain a first image corresponding to the inspection image, specifically: Convert the inspection image in the RGB space to the XYZ space, and convert the inspection image in the XYZ space to the Lab space, and obtain the first component of the inspection image in the Lab space; Performing filtering processing on the first component, and calculating a brightness component of the inspection image based on the first component and the first component after the filtering processing; The inspection image is subjected to light-filling processing or light-suppression processing based on the brightness component, and the inspection image subjected to the light-filling processing or light-suppression processing is determined as a first image corresponding to the inspection image.

[0007] Furthermore, the brightness component is specifically: ,in: , ; In the formula, Represents the pixel point in the inspection image The brightness component of Represents the pixel point in the inspection image The first component of Represents the pixel point in the inspection image After filtering, the first component T It represents the guiding filter window for filtering the inspection image. Represents the guided filter window T Middle k The brightness value of the pixel, c represents the guide filter window T The number of pixels in and Represent the guided filter window T The mean and standard deviation of the pixels in , r represents the regularization parameter, Indicates the coordinates of the pixel points in the inspection image.

[0008] Furthermore, the above-mentioned fill light processing is specifically as follows: ; In the formula, Represents pixel The brightness after fill light processing, Represents the pixel point in the inspection image The brightness component of Indicates the minimum value of the brightness component of the pixel in the inspection image. Indicates the maximum value of the brightness component of the pixel in the inspection image.

[0009] Furthermore, the light suppression process is specifically as follows: ; In the formula, Represents pixel The brightness after light suppression treatment is Represents the pixel point in the inspection image The brightness component of Indicates the minimum value of the brightness component of the pixel in the inspection image. Indicates the maximum value of the brightness component of the pixel in the inspection image.

[0010] Furthermore, the above denoising process is specifically as follows: Add preset noise to the first image. For each pixel in the first image after adding noise: Performing a first operation and a second operation on the pixel points respectively, and obtaining a first result of the first operation and a second result of the second operation; Calculate the difference between the original pixel value of the pixel point and the pixel value corresponding to the first result, and the difference between the original pixel value and the pixel value corresponding to the second result, to obtain a first difference and a second difference respectively; According to the first difference and the second difference of the pixel point, and based on a preset condition, it is determined whether the pixel point is a noise pollution point, and a determination result is obtained; If the judgment result of the pixel point is a noise point, the pixel point is processed twice by using a filter corresponding to the first operation and a filter corresponding to the second operation, and a first processing result and a second processing result are obtained respectively; The first processing result and the second processing result are averaged, and the obtained average is used as the denoising result of the pixel point, until all the pixel points judged as noise points in the first image are processed.

[0011] Furthermore, the above first result is specifically: ; The second result is: ; In the above formula, Represents pixel The first result of the first operation, Represents pixel The second result of the second operation, Indicates the pixel after fill light processing or light suppression processing , represents the corrosion operator, Represents a structural element, represents the dilation operator.

[0012] In a second aspect, the present application provides a handheld terminal for on-site inspection of installation and disassembly of building hoisting machinery and equipment, which is used to perform any of the on-site safety inspection methods for installation and disassembly of building hoisting machinery and equipment in the first aspect, including: The first module is used to call the inspection template corresponding to each mechanical equipment, and obtain the inspection image corresponding to each inspection part and the inspection description of each inspection part according to the inspection parts preset in the inspection template; The second module is used to obtain the brightness component of each inspection image, and perform illumination image enhancement processing on the inspection image according to the brightness component to obtain a first image corresponding to the inspection image; A third module is used to perform image denoising and contrast enhancement processing on each first image in sequence, and determine the first image that has undergone the image denoising and contrast enhancement processing as the second image; The fourth module is used to generate a time watermark recording each acquisition time according to the acquisition time of each inspection image, and fuse each time watermark with the corresponding second image to obtain a third image embedded with the time watermark; The fifth module is used to write the third image and the corresponding inspection description into the corresponding position in the inspection template until all the inspection parts in the inspection template are written with the corresponding inspection content to complete the safety inspection of the corresponding mechanical equipment. The inspection content includes the third image and the inspection description.

[0013] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods in the first aspect when executing the computer program.

[0014] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in the first aspect.

[0015] Compared with the prior art, the present invention has at least the following beneficial effects: In the present application, when conducting safety inspections, corresponding inspection templates are selected for different inspection objects. The inspection templates have been prepared in the early stage, and may include the inspection object, the inspection part of the corresponding object, the image insertion position, the text insertion position, etc.; according to the position to be inspected in the selected inspection template, the inspection image and inspection description of the inspection part are obtained. The inspection image includes the image of the part, and the inspection description is the content description of the corresponding part, such as whether the screws are loose, whether the hanger is damaged, etc.; for the obtained inspection image, due to the limitations of the shooting environment, the inspection image may be underlit or overexposed, which will cause the information in the image to be easily missing or covered up, resulting in a decrease in image clarity, affecting image recognition and detection; and after the illumination image enhancement processing, the underlit or overexposed situation can be compensated, so that the details in the image are displayed more clearly; the image is denoised and contrast enhanced again, all for the purpose of making the image resolution higher and the details clearer.

[0016] In the present application, by generating a time watermark recording each acquisition time according to the acquisition time of the inspection image and inserting the time watermark into the corresponding image, the problem of controversy between the image credibility and the image shooting time is effectively solved; at the same time, by calling the preset inspection template, each part can be inspected in turn according to the content in the template to avoid partial omissions during inspection.

[0017] In this application, the hidden danger identification ability of mechanical management personnel can be improved, omissions in the inspection process can be prevented, the inspection results can be clearly seen, and the location of the equipment to be rectified can be found in time according to the picture feedback; and by regularly comparing and analyzing the photo records of each inspection, the operation and safety management dynamics of mechanical equipment can be grasped in time, and the safety management risks can be effectively supervised, and the level of equipment management can be promoted; it can also help non-professionals to initially acquire inspection capabilities, and help new entrants adapt to their jobs faster. In addition, due to the addition of pictures, this inspection method is easier for newcomers to accept than traditional checklists, and the inspection parts and key points are clear and clear at a glance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings: Figure 1 A method flow chart of a safety inspection method in an embodiment of the present invention; Figure 2 Schematic diagram of an inspection template in an embodiment of the present invention; Figure 3 This is a connection diagram of the inspection handheld terminal in an embodiment of the present invention; Figure 4Schematic diagram of the connection of electronic equipment in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0022] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0023] Embodiment 1: At present, most inspections are carried out manually, and personnel may be negligent in their work. Moreover, the equipment inspection status is only reflected in the inspection form in text form, which may cause disputes over the credibility and the time when the problem occurs. At the same time, the inspected parts may be omitted. In order to solve the above problems, this embodiment provides a safety inspection method for installation and disassembly of construction lifting machinery and equipment, such as Figure 1 As shown, the following specific steps are included: S1, calling the inspection template corresponding to each mechanical equipment, and obtaining the inspection image corresponding to each inspection part and the inspection description of each inspection part according to the inspection parts preset in the inspection template.

[0024] Among them, the inspection template has been prepared in the early stage, which may include the inspection object, the inspection position of the corresponding object, the image insertion position, the text insertion position, etc. Figure 2 As shown, Figure 2 The inspection template shown in the figure is for tower crane inspection. The inspection object of this template is the tower crane. The inspection parts displayed include the slewing structure and the main winch wire rope. The time can be recorded on the top of the template, and the corresponding inspection image and inspection description can be inserted in the blank space below the corresponding inspection part.

[0025] S2, for each inspection image, obtain a brightness component of the inspection image, and perform illumination image enhancement processing on the inspection image according to the brightness component to obtain a first image corresponding to the inspection image.

[0026] Optionally, the above-mentioned acquisition of the brightness component of the inspection image and performing illumination image enhancement processing on the inspection image according to the brightness component to obtain the first image corresponding to the inspection image is specifically: S21, converting the inspection image in the RGB space into the XYZ space, and converting the inspection image in the XYZ space into the Lab space, and obtaining the first component of the inspection image in the Lab space.

[0027] Among them, the inspection image in RGB space is converted to XYZ space, and the inspection image in XYZ space is converted to Lab space, which can be expressed as: , ; In the above formula, ( i , j ) represents the coordinates of the pixel point, R ( i , j )、 G ( i , j )、 B ( i , j ) represent the red, green and blue color components of the original color image respectively, P represents the transformation matrix, X ( i , j )、 Y ( i , j )、 Z ( i , j ) respectively represent XYZ Three variables of space, f represents the transformation function, , , Respectively X ( i , j )、 Y ( i , j )、 Z ( i , j ) is the normalized value of the three components, L ( i , j )、 a ( i ,j )、 b ( i , j ) represent the three components of Lab space, L ( i , j ) is the brightness, in the above, L ( i , j ) is represented as the first component.

[0028] S22, filtering the first component, and calculating the brightness component of the inspection image based on the first component and the first component after filtering.

[0029] Optionally, the brightness component is specifically: ,in: , ; In the formula, Represents the pixel point in the inspection image The brightness component of Represents the pixel point in the inspection image The first component of Represents the pixel point in the inspection image After filtering, the first component T It represents the guiding filter window for filtering the inspection image. Represents the guided filter window T Middle k The brightness value of the pixel, c represents the guide filter window T The number of pixels in and Represent the guided filter window T The mean and standard deviation of the pixels in , r represents the regularization parameter, Indicates the coordinates of the pixel points in the inspection image.

[0030] S23, performing light-filling processing or light-suppression processing on the inspection image based on the brightness component, and determining the inspection image after the light-filling processing or light-suppression processing as a first image corresponding to the inspection image.

[0031] Optionally, the above fill light processing is specifically as follows: ; In the formula, Represents pixel The brightness after fill light processing, Represents the pixel point in the inspection image The brightness component of Indicates the minimum value of the brightness component of the pixel in the inspection image. Indicates the maximum value of the brightness component of the pixel in the inspection image.

[0032] Optionally, the light suppression process is specifically as follows: ; In the formula, Represents pixel The brightness after light suppression treatment is Represents the pixel point in the inspection image The brightness component of Indicates the minimum value of the brightness component of the pixel in the inspection image. Indicates the maximum value of the brightness component of the pixel in the inspection image.

[0033] S3, performing image denoising and contrast enhancement processing on each first image in sequence, and determining the first image that has undergone the image denoising and contrast enhancement processing as the second image.

[0034] Optionally, in general, images contain noise points, which is difficult to avoid. The presence of noise points will cause the detailed information in the image to be blurred. Therefore, denoising is required. The selected method can be based on morphological image denoising. The above denoising process is specifically as follows: S31, adding a preset noise to the first image, where the preset noise may be additive Gaussian noise with a variance of 30, 50, or 70. For each pixel in the first image after the noise is added: S311, performing a first operation and a second operation on the pixel points respectively, and obtaining a first result of the first operation and a second result of the second operation.

[0035] The first operation mentioned above is a morphological opening operation, and the second operation mentioned above is a morphological closing operation. The corresponding operation results are a first result and a second result, that is, the first result is the result of the opening operation, and the second result is the result of the closing operation. Specifically, the first result is: .

[0036] The second result is: .

[0037] In the first and second results above, .

[0038] In the above formula, Represents pixel The first result of the first operation, Represents pixel The second result of the second operation, Indicates the pixel after fill light processing or light suppression processing , represents the corrosion operator, Represents a structural element, represents the dilation operator.

[0039] S312, calculating the difference between the original pixel value of the pixel point and the pixel value corresponding to the first result, and the difference between the original pixel value and the pixel value corresponding to the second result, to obtain a first difference and a second difference respectively.

[0040] S313: Determine whether the pixel is a noise pollution point based on the first difference and the second difference of the pixel and a preset condition, and obtain a determination result.

[0041] The preset conditions may be: , That is, it represents the judgment result. When the judgment result is 1 or -1, the pixel is a noise point. When the judgment result is 0, the pixel is not a noise point. T represents the set threshold. g 1 represents the above-mentioned first difference, and g2 represents the above-mentioned second difference.

[0042] S314: If the pixel point is determined to be a noise point, the pixel point is processed twice using a filter corresponding to the first operation and a filter corresponding to the second operation, and a first processing result and a second processing result are obtained respectively.

[0043] Among them, the filter corresponding to the first operation is an open operation filter, and the filter corresponding to the second operation is a closed operation filter. The first processing result and the second processing result can be expressed as: , , , They represent open operational filters and closed operational filters respectively, Represented as the corresponding noise point.

[0044] S315, performing average processing on the first processing result and the second processing result, and using the obtained average as the denoising result of the pixel point, until all the pixel points judged as noise points in the first image are processed.

[0045] Among them, the obtained mean is the denoising result, and the denoising result is expressed as Specifically, the above-mentioned contrast enhancement processing can adopt the currently existing contrast enhancement algorithm, such as an algorithm based on an adversarial network, an algorithm based on hierarchical processing, etc., which will not be repeated here.

[0046] S4, generating a time watermark recording each acquisition time according to the acquisition time of each inspection image, and fusing each time watermark with the corresponding second image to obtain a third image embedded with the time watermark.

[0047] Among them, the generation of the time watermark can adopt the existing watermark generation method, that is, generate an image with the acquisition time, and then embed the generated watermark. The embedding of the watermark can be carried out in the following ways: 1. Encode the pseudo-random binary sequence of the time watermark, and use the key k representing the seed of the pseudo-random generator to obtain The row vector v of binary elements is the time watermark. Specifically, the PseudoGen function can be used to generate a pseudo-random binary sequence based on a specific seed value. The seed value ensures the uniqueness and unpredictability of the watermark. Therefore, the selection of the seed value is crucial to the security of the watermark. For encoding processing: error correction coding is used, which can be Reed-Solomon coding. After encoding, the anti-interference ability of the watermark can be increased, and the watermark information can be correctly extracted even when the image is damaged to a certain extent.

[0048] 2. Performing Fourier transform on the brightness component of the inspection image can obtain multiple frequency components of the inspection image in the frequency domain.

[0049] 3. The time watermark with preset strength is embedded in each frequency component whose frequency component is located in the medium and low frequency area, so that multiple frequency components corresponding to the inspection image and embedded with the time watermark can be obtained.

[0050] 4. By performing inverse Fourier transform processing on the multiple frequency components embedded with the time watermark, a third image of the multiple frequency components embedded with the time watermark in the spatial domain can be obtained.

[0051] S5, writing the third image and the corresponding inspection description into the corresponding position in the inspection template until all the inspection parts in the inspection template are written with the corresponding inspection content to complete the safety inspection of the corresponding mechanical equipment, and the inspection content includes the third image and the inspection description.

[0052] Embodiment 2: The embodiment of the present application provides a handheld terminal for inspection of installation and disassembly of building hoisting machinery and equipment, which is used to execute any of the methods for inspection of installation and disassembly of building hoisting machinery and equipment in Embodiment 1, such as Figure 3 As shown, it may include: The first module is used to call the inspection template corresponding to each mechanical equipment, and obtain the inspection image corresponding to each inspection part and the inspection description of each inspection part according to the inspection parts preset in the inspection template.

[0053] The second module is used to obtain the brightness component of each inspection image, and perform illumination image enhancement processing on the inspection image according to the brightness component to obtain a first image corresponding to the inspection image.

[0054] The third module is used to perform image denoising and contrast enhancement processing on each first image in sequence, and determine the first image that has undergone the image denoising and contrast enhancement processing as the second image.

[0055] The fourth module is used to generate a time watermark recording each acquisition time according to the acquisition time of each inspection image, and fuse each time watermark with the corresponding second image to obtain a third image embedded with the time watermark.

[0056] The fifth module is used to write the third image and the corresponding inspection description into the corresponding position in the inspection template until all the inspection parts in the inspection template are written with the corresponding inspection content to complete the safety inspection of the corresponding mechanical equipment. The inspection content includes the third image and the inspection description.

[0057] Embodiment 3: This embodiment of the present application provides an electronic device, such as Figure 4 As shown, it includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any method in Embodiment 1 is implemented.

[0058] Embodiment 4: The present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in Embodiment 1.

[0059] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A safety inspection method for installation and disassembly of building hoisting machinery and equipment, characterized in that: The specific steps include: Calling the inspection template corresponding to each mechanical device, and obtaining the inspection image corresponding to each inspection part and the inspection description of each inspection part according to the inspection parts preset in the inspection template; For each inspection image, a brightness component of the inspection image is obtained, and a light image enhancement process is performed on the inspection image according to the brightness component to obtain a first image corresponding to the inspection image; performing image denoising and contrast enhancement processing on each of the first images in sequence, and determining the first image that has undergone the image denoising and contrast enhancement processing as the second image; According to the acquisition time of each inspection image, a time watermark recording each acquisition time is generated, and each time watermark is merged with the corresponding second image to obtain a third image embedded with the time watermark; The third image and the corresponding inspection description are written into corresponding positions in the inspection template until all inspection locations in the inspection template are written with corresponding inspection contents to complete the safety inspection of the corresponding mechanical equipment, wherein the inspection contents include the third image and the inspection description.

2. The method for safety inspection of installation and disassembly of construction hoisting machinery and equipment according to claim 1 is characterized in that: The step of acquiring the brightness component of the inspection image and performing illumination image enhancement processing on the inspection image according to the brightness component to obtain the first image corresponding to the inspection image is specifically as follows: Convert the inspection image in the RGB space to the XYZ space, and convert the inspection image in the XYZ space to the Lab space, and obtain the first component of the inspection image in the Lab space; Performing filtering processing on the first component, and calculating a brightness component of the inspection image based on the first component and the first component after filtering; Performing light-filling processing or light-suppression processing on the inspection image based on the brightness component, and determining the inspection image after the light-filling processing or light-suppression processing as a first image corresponding to the inspection image.

3. The method for safety inspection of installation and disassembly of construction hoisting machinery and equipment according to claim 2 is characterized in that: The brightness component is specifically: ,in: ， ； In the formula, Represents the pixel point in the inspection image The brightness component of Represents the pixel point in the inspection image The first component of Represents the pixel point in the inspection image After filtering, the first component T It represents the guiding filter window for filtering the inspection image. Represents the guided filter window T Middle k The brightness value of the pixel, c represents the guide filter window T The number of pixels in and Represent the guided filter window T The mean and standard deviation of the pixels in , r represents the regularization parameter, Indicates the coordinates of the pixel points in the inspection image.

4. The method for safety inspection of installation and disassembly of construction hoisting machinery and equipment according to claim 3 is characterized in that: The fill light processing is specifically as follows: ； In the formula, Represents pixel The brightness after fill light processing, Represents the pixel point in the inspection image The brightness component of Indicates the minimum value of the brightness component of the pixel in the inspection image. Indicates the maximum value of the brightness component of the pixel in the inspection image.

5. The method for safety inspection of installation and disassembly of construction hoisting machinery and equipment according to claim 1 is characterized in that: The light suppression process is specifically as follows: ； In the formula, Represents pixel The brightness after light suppression treatment is Represents the pixel point in the inspection image The brightness component of Indicates the minimum value of the brightness component of the pixel in the inspection image. Indicates the maximum value of the brightness component of the pixel in the inspection image.

6. The method for safety inspection of installation and disassembly of construction hoisting machinery and equipment according to claim 1, characterized in that: The denoising process is specifically as follows: Adding a preset noise to the first image, for each pixel in the first image after adding the noise: Performing a first operation and a second operation on the pixel points respectively, and obtaining a first result of the first operation and a second result of the second operation; Calculate the difference between the original pixel value of the pixel point and the pixel value corresponding to the first result, and the difference between the original pixel value and the pixel value corresponding to the second result, to obtain a first difference and a second difference respectively; According to the first difference and the second difference of the pixel point, and based on a preset condition, it is determined whether the pixel point is a noise pollution point, and a determination result is obtained; If the pixel point is determined to be a noise point, the pixel point is processed twice using a filter corresponding to the first operation and a filter corresponding to the second operation, and a first processing result and a second processing result are obtained respectively; The first processing result and the second processing result are averaged, and the obtained average is used as the denoising result of the pixel point, until all the pixel points in the first image that are judged to be noise points are processed.

7. The method for safety inspection of installation and disassembly of construction hoisting machinery and equipment according to claim 6 is characterized in that: The first result is specifically: ； The second result is specifically: ； In the above formula, Represents pixel The first result of the first operation, Represents pixel The second result of the second operation, Indicates the pixel after fill light processing or light suppression processing , represents the corrosion operator, Represents a structural element, represents the dilation operator.

8. A handheld terminal for on-site inspection of installation and disassembly of building hoisting machinery and equipment, used to execute the on-site safety inspection method for installation and disassembly of building hoisting machinery and equipment according to any one of claims 1 to 7, characterized in that: include: The first module is used to call the inspection template corresponding to each mechanical equipment, and obtain the inspection image corresponding to each inspection part and the inspection description of each inspection part according to the inspection parts preset in the inspection template; The second module is used to obtain a brightness component of each inspection image, and perform illumination image enhancement processing on the inspection image according to the brightness component to obtain a first image corresponding to the inspection image; A third module is used to perform image denoising and contrast enhancement processing on each of the first images in sequence, and determine the first image that has undergone the image denoising and contrast enhancement processing as the second image; The fourth module is used to generate a time watermark recording each acquisition time according to the acquisition time of each inspection image, and fuse each time watermark with the corresponding second image to obtain a third image embedded with the time watermark; The fifth module is used to write the third image and the corresponding inspection description into the corresponding position in the inspection template until all inspection parts in the inspection template are written with the corresponding inspection content to complete the safety inspection of the corresponding mechanical equipment, and the inspection content includes the third image and the inspection description.

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