A method and system for identifying and handling aluminum coils by an intelligent crane based on data analysis

Abstract

The present invention discloses a method and system for intelligent crane aluminum coil identification and handling based on data analysis. By acquiring aluminum coil image data and aluminum coil position data, the size and shape information of the aluminum coil is obtained, and according to the current crane transportation environment, combined with a three-dimensional route analysis model, a comprehensive analysis is made of the preferred transportation route suitable for the current aluminum coil cargo, thereby reducing the wear, bumps, scratches, etc. of the aluminum coil during transportation. In addition, the present invention acquires aluminum coil deformation information in real time, analyzes the current aluminum coil deformation situation, and makes a reasonable judgment on whether to terminate the transportation, thereby reducing the aluminum coil deformation caused by unreasonable aluminum coil handling and installation, and can further realize the safe transportation and handling of aluminum coil cargo.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and more specifically, to a method and system for identifying and transporting aluminum coils by an intelligent crane based on data analysis. Background Art

[0002] A crane is a multi-action lifting machine that can lift and carry heavy objects vertically and horizontally within a certain range. It is also called an overhead crane, an overhead crane, or a crane. Aluminum coils are usually transported and carried by cranes. Aluminum coils and aluminum plates are relatively corrosion-resistant, but if they are exposed to moisture during transportation or storage, it is easy to cause uniform corrosion on the surface, thus affecting the appearance of the aluminum coils.

[0003] In addition, the hardness of aluminum coils is generally low, so they are easily damaged during transportation. Therefore, in the actual crane transportation process, the aluminum coils are often scratched, bumped, oxidized by water, deformed, etc. due to unreasonable loading and unloading of aluminum coils, inadequate transportation route planning, unreasonable handling and storage points, etc., which in turn cause aluminum coils to be damaged to varying degrees. Therefore, a method for safely transporting aluminum coils is urgently needed. Summary of the invention

[0004] In order to solve at least one of the above technical problems, the present invention proposes an intelligent crane for aluminum coil identification and handling based on data analysis.

[0005] The first aspect of the present invention provides a method for identifying and handling aluminum coils by an intelligent crane based on data analysis, comprising:

[0006] Acquire the aluminum coil image data, perform image recognition and analysis based on the aluminum coil image data, and obtain the aluminum coil space size information and aluminum coil shape information;

[0007] Obtain aluminum coil location data and storage point location data;

[0008] Import the aluminum coil location data and storage point location data into the 3D route analysis model for route planning analysis to obtain feasible route data;

[0009] Analyze the optimal route data from the feasible route data according to the aluminum coil space size information and aluminum coil shape information;

[0010] The aluminum coils are transported according to the preferred route data, and the image data of the aluminum coil transportation process is obtained. The deformation information of the aluminum coils is analyzed in real time according to the image data of the transportation process, and the transportation termination judgment is made according to the deformation information.

[0011] In this solution, the step of acquiring the aluminum coil image data, performing image recognition and analysis based on the aluminum coil image data, and obtaining the aluminum coil space size information and aluminum coil shape information also includes:

[0012] Acquire the aluminum coil image data, perform image segmentation on the aluminum coil image data, and obtain the aluminum coil main body image data and reference object image data;

[0013] Perform image ratio analysis on the reference image data to obtain a spatial scaling coefficient;

[0014] Extract contour points from the main image data of the aluminum coil to obtain characteristic contour points;

[0015] Perform area calculation and analysis based on the characteristic contour points to obtain the aluminum coil image area;

[0016] The spatial size information of the aluminum coil is obtained by performing spatial calculation and conversion according to the aluminum coil image area and the spatial scaling coefficient.

[0017] In this solution, the aluminum coil image data is obtained, and image recognition and analysis are performed based on the aluminum coil image data to obtain the aluminum coil space size information and aluminum coil shape information, specifically:

[0018] Perform image smoothing and noise reduction preprocessing on the aluminum coil image data to obtain enhanced aluminum coil image data;

[0019] Extract features of the enhanced aluminum coil image data to obtain aluminum coil feature data;

[0020] Perform shape feature analysis on the aluminum coil feature data to obtain main contour information and regional contour information;

[0021] The main contour information and the regional contour information are integrated to obtain the aluminum coil shape information.

[0022] In this solution, the aluminum coil location data and storage point location data are imported into the three-dimensional route analysis model for route planning analysis to obtain feasible route data, which includes:

[0023] Obtain overall image data of the crane transportation site;

[0024] Perform three-dimensional space model analysis based on the overall image data to obtain three-dimensional map data;

[0025] The overall image data is segmented and identified as obstacles, and combined with the three-dimensional map data to obtain the obstacle point location information and obstacle point space size information.

[0026] In this solution, the aluminum coil location data and storage point location data are imported into the three-dimensional route analysis model for route planning analysis to obtain feasible route data, specifically:

[0027] Import the aluminum coil location data and storage point location data into the 3D route analysis model, combine the 3D map data to perform basic route planning, and obtain basic route data;

[0028] Import obstacle point location information, obstacle point space size information and basic route data into the three-dimensional route analysis model;

[0029] The three-dimensional route analysis model performs route feasibility analysis based on the obstacle point location information and obstacle point space size information, and eliminates infeasible routes from the basic route data to obtain feasible route data.

[0030] In this solution, the preferred route data is analyzed from the feasible route data according to the aluminum coil space size information and the aluminum coil shape information, specifically:

[0031] Perform three-dimensional route analysis on feasible route data to obtain route obstacle information;

[0032] According to the route obstacle information, the obstacle quantity information, obstacle width information, and obstacle height information are analyzed;

[0033] The obstacle quantity information, obstacle width information, obstacle height information, aluminum coil space size information and aluminum coil shape information are imported into the three-dimensional route analysis model, and the transportation loss index of each feasible route data is calculated and analyzed;

[0034] Analyze and compare the transport loss index to obtain the optimal route data;

[0035] The specific calculation formula of the transportation loss index is:

[0036]

[0037] in, is the transport loss index, W is the width of the aluminum coil space, is the average spatial height of obstacles, is the minimum width of the obstacle, is the maximum width of the obstacle, is the total distance of the route space.

[0038] In this solution, the aluminum coil is transported according to the preferred route data, and the image data of the aluminum coil transportation process is obtained. The deformation information of the aluminum coil is analyzed in real time according to the image data of the transportation process, and the transportation termination judgment is made according to the deformation information. Specifically,

[0039] Real-time acquisition of aluminum coil transportation process image data and image data preprocessing to obtain transportation comparison image data;

[0040] Perform image recognition and analysis based on the transportation comparison image data to obtain first space size information and first result shape information;

[0041] Compare and analyze the first space size information, the first result shape information, the aluminum coil space size information, and the aluminum coil shape information to obtain the aluminum coil deformation information;

[0042] The aluminum coil transportation deformation index is obtained through the aluminum coil deformation information;

[0043] Real-time judgment of whether the aluminum coil transportation deformation index is greater than the preset threshold;

[0044] If the aluminum coil transportation deformation index is greater than a preset threshold, a transportation termination message is sent to a preset terminal device, and the aluminum coil deformation information is sent to the preset terminal device.

[0045] The second aspect of the present invention further provides an intelligent crane aluminum coil identification and handling system based on data analysis, the system comprising: a memory, a processor, the memory comprising an intelligent crane aluminum coil identification and handling method program based on data analysis, the intelligent crane aluminum coil identification and handling method program based on data analysis when executed by the processor implements the following steps:

[0046] Acquire the aluminum coil image data, perform image recognition and analysis based on the aluminum coil image data, and obtain the aluminum coil space size information and aluminum coil shape information;

[0047] Obtain aluminum coil location data and storage point location data;

[0048] Import the aluminum coil location data and storage point location data into the 3D route analysis model for route planning analysis to obtain feasible route data;

[0049] Analyze the optimal route data from the feasible route data according to the aluminum coil space size information and aluminum coil shape information;

[0050] The aluminum coils are transported according to the preferred route data, and the image data of the aluminum coil transportation process is obtained. The deformation information of the aluminum coils is analyzed in real time according to the image data of the transportation process, and the transportation termination judgment is made according to the deformation information.

[0051] In this solution, the preferred route data is analyzed from the feasible route data according to the aluminum coil space size information and the aluminum coil shape information, specifically:

[0052] Perform three-dimensional route analysis on feasible route data to obtain route obstacle information;

[0053] According to the route obstacle information, the obstacle quantity information, obstacle width information, and obstacle height information are analyzed;

[0054] The obstacle quantity information, obstacle width information, obstacle height information, aluminum coil space size information and aluminum coil shape information are imported into the three-dimensional route analysis model, and the transportation loss index of each feasible route data is calculated and analyzed;

[0055] Analyze and compare the transport loss index to obtain the optimal route data;

[0056] The specific calculation formula of the transportation loss index is:

[0057]

[0058] in, is the transport loss index, W is the width of the aluminum coil space, is the average spatial height of obstacles, is the minimum width of the obstacle, is the maximum width of the obstacle, is the total distance of the route space.

[0059] The third aspect of the present invention also provides a computer-readable storage medium, which includes a program for an intelligent crane aluminum coil identification and handling method based on data analysis. When the program for an intelligent crane aluminum coil identification and handling method based on data analysis is executed by a processor, the steps of the intelligent crane aluminum coil identification and handling method based on data analysis as described in any one of the above items are implemented.

[0060] The present invention discloses a method and system for intelligent crane aluminum coil identification and handling based on data analysis. By acquiring aluminum coil image data and aluminum coil position data, the size and shape information of the aluminum coil is obtained, and according to the current crane transportation environment, combined with a three-dimensional route analysis model, a comprehensive analysis is made of the preferred transportation route suitable for the current aluminum coil cargo, thereby reducing the wear, bumps, scratches, etc. of the aluminum coil during transportation. In addition, the present invention acquires aluminum coil deformation information in real time, analyzes the current aluminum coil deformation situation, and makes a reasonable judgment on whether to terminate the transportation, thereby reducing the aluminum coil deformation caused by unreasonable aluminum coil handling and installation, and can further realize the safe transportation and handling of aluminum coil cargo. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A flow chart of a method for identifying and transporting aluminum coils by an intelligent crane based on data analysis is shown in the present invention;

[0062] Figure 2 The flowchart of obtaining the shape information of the aluminum coil of the present invention is shown;

[0063] Figure 3 The flowchart of obtaining feasible route data of the present invention is shown;

[0064] Figure 4 A block diagram of an intelligent crane aluminum coil identification and handling system based on data analysis of the present invention is shown. DETAILED DESCRIPTION

[0065] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0066] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0067] Figure 1 A flow chart of a method for identifying and transporting aluminum coils by an intelligent crane based on data analysis is shown in the present invention.

[0068] like Figure 1 As shown, the first aspect of the present invention provides an intelligent crane aluminum coil identification and handling method based on data analysis, comprising:

[0069] S102, acquiring aluminum coil image data, performing image recognition and analysis based on the aluminum coil image data, and obtaining aluminum coil space size information and aluminum coil shape information;

[0070] S104, obtaining the aluminum coil location data and storage point location data;

[0071] S106, importing the aluminum coil location data and the storage point location data into the three-dimensional route analysis model to perform route planning analysis to obtain feasible route data;

[0072] S108, analyzing the preferred route data from the feasible route data according to the aluminum coil space size information and the aluminum coil shape information;

[0073] S110, transporting the aluminum coil according to the preferred route data, and obtaining image data of the aluminum coil transportation process, analyzing the aluminum coil deformation information in real time according to the image data of the transportation process, and determining the termination of transportation according to the deformation information.

[0074] According to an embodiment of the present invention, the step of acquiring the aluminum coil image data, performing image recognition and analysis based on the aluminum coil image data, and obtaining the aluminum coil space size information and aluminum coil shape information further includes:

[0075] Acquire the aluminum coil image data, perform image segmentation on the aluminum coil image data, and obtain the aluminum coil main body image data and reference object image data;

[0076] Perform image ratio analysis on the reference image data to obtain a spatial scaling coefficient;

[0077] Extract contour points from the main image data of the aluminum coil to obtain characteristic contour points;

[0078] Perform area calculation and analysis based on the characteristic contour points to obtain the aluminum coil image area;

[0079] The spatial size information of the aluminum coil is obtained by performing spatial calculation and conversion according to the aluminum coil image area and the spatial scaling coefficient.

[0080] It should be noted that the aluminum coil image data includes an aluminum coil image and a reference image. The reference is generally an aluminum coil loading container. The reference image data is subjected to image ratio analysis to obtain a spatial scaling coefficient, specifically, the spatial scaling coefficient is obtained by performing a ratio analysis between the size of the reference object in the image and its actual size.

[0081] Figure 2 The flowchart of obtaining the shape information of the aluminum coil of the present invention is shown.

[0082] According to an embodiment of the present invention, the aluminum coil image data is obtained, and image recognition and analysis are performed based on the aluminum coil image data to obtain the aluminum coil space size information and aluminum coil shape information, specifically:

[0083] S202, performing image smoothing and noise reduction preprocessing on the aluminum coil image data to obtain enhanced aluminum coil image data;

[0084] S204, extracting features from the enhanced aluminum coil image data to obtain aluminum coil feature data;

[0085] S206, performing shape feature analysis on the aluminum coil feature data to obtain main contour information and regional contour information;

[0086] S208, integrating the main contour information and the regional contour information to obtain the aluminum coil shape information.

[0087] It should be noted that the aluminum coil image data is image data before transportation and loading.

[0088] According to an embodiment of the present invention, the aluminum coil location data and the storage point location data are imported into a three-dimensional route analysis model for route planning analysis to obtain feasible route data, which includes:

[0089] Obtain overall image data of the crane transportation site;

[0090] Perform three-dimensional space model analysis based on the overall image data to obtain three-dimensional map data;

[0091] The overall image data is segmented and identified as obstacles, and combined with the three-dimensional map data to obtain the obstacle point location information and obstacle point space size information.

[0092] It should be noted that the overall image data is specifically the omnidirectional image data of the aluminum coil crane transportation site, through which the spatial size and obstacle point information of the crane transportation site can be analyzed. The overall image data of the crane transportation site is obtained by an image acquisition device, and generally 10 or more image acquisition devices are set in the crane transportation site.

[0093] Figure 3 The flowchart of obtaining feasible route data of the present invention is shown.

[0094] According to an embodiment of the present invention, the aluminum coil location data and storage point location data are imported into a three-dimensional route analysis model for route planning analysis to obtain feasible route data, specifically:

[0095] S302, importing the aluminum coil location data and the storage point location data into the three-dimensional route analysis model, combining the three-dimensional map data to perform basic route planning, and obtaining basic route data;

[0096] S304, importing obstacle point location information, obstacle point space size information and basic route data into a three-dimensional route analysis model;

[0097] S306, the three-dimensional route analysis model performs route feasibility analysis based on the obstacle point location information and the obstacle point space size information, and eliminates infeasible routes from the basic route data to obtain feasible route data.

[0098] It should be noted that the three-dimensional route analysis model is specifically a route planning model, and the route planning algorithms used by the model include but are not limited to Dijkstra algorithm, PRM algorithm,

[0099] RRT algorithm, etc.

[0100] According to an embodiment of the present invention, the preferred route data is analyzed from the feasible route data according to the aluminum coil space size information and the aluminum coil shape information, specifically:

[0101] Perform three-dimensional route analysis on feasible route data to obtain route obstacle information;

[0102] According to the route obstacle information, the obstacle quantity information, obstacle width information, and obstacle height information are analyzed;

[0103] The obstacle quantity information, obstacle width information, obstacle height information, aluminum coil space size information and aluminum coil shape information are imported into the three-dimensional route analysis model, and the transportation loss index of each feasible route data is calculated and analyzed;

[0104] Analyze and compare the transport loss index to obtain the optimal route data;

[0105] The specific calculation formula of the transportation loss index is:

[0106]

[0107] in, is the transport loss index, W is the width of the aluminum coil space, is the average spatial height of obstacles, is the minimum width of the obstacle, is the maximum width of the obstacle, is the total distance of the route space.

[0108] It should be noted that the route obstacle information includes obstacle point location information and obstacle point space size information. The feasible route data is generally a plurality of data, and the preferred route data generally corresponds to one route data. The transportation loss index is an indicator reflecting the safe transportation of aluminum coils. The preferred route data is obtained by analyzing and comparing the size of the transportation loss index, specifically selecting the feasible route data corresponding to the smallest value of the transportation loss index as the preferred route data.

[0109] According to an embodiment of the present invention, the aluminum coil is transported according to the preferred route data, and the image data of the aluminum coil transportation process is obtained, the deformation information of the aluminum coil is analyzed in real time according to the image data of the transportation process, and the transportation termination judgment is made according to the deformation information, specifically:

[0110] Real-time acquisition of aluminum coil transportation process image data and image data preprocessing to obtain transportation comparison image data;

[0111] Perform image recognition and analysis based on the transportation comparison image data to obtain first space size information and first result shape information;

[0112] Compare and analyze the first space size information, the first result shape information, the aluminum coil space size information, and the aluminum coil shape information to obtain the aluminum coil deformation information;

[0113] The aluminum coil transportation deformation index is obtained through the aluminum coil deformation information;

[0114] Real-time judgment of whether the aluminum coil transportation deformation index is greater than the preset threshold;

[0115] If the aluminum coil transportation deformation index is greater than a preset threshold, a transportation termination message is sent to a preset terminal device, and the aluminum coil deformation information is sent to the preset terminal device.

[0116] It should be noted that during the transportation of aluminum coils, the aluminum coils may be deformed due to unreasonable handling and installation of the aluminum coils, too fast and too hasty transportation, etc., which may further damage the goods. By acquiring and analyzing the image data of the aluminum coil transportation process, the deformation of the aluminum coils during transportation can be acquired in real time, and the transportation of the aluminum coils can be reasonably interrupted when deformation occurs. The preset terminal device includes a preset computer terminal device and a mobile terminal device.

[0117] According to an embodiment of the present invention, it also includes:

[0118] Get storage point location data;

[0119] According to the storage point location data, obtain the ground image data of the storage point;

[0120] The ground image data of the storage point is preprocessed and image grayscale analysis is performed to obtain ground waterlogging area image data;

[0121] Perform regional analysis based on ground waterlogging area image data and storage point ground image data to obtain waterlogging area location data;

[0122] Perform data fusion analysis on the storage point location data and the waterlogged area location data to obtain safe storage location information;

[0123] The safe location in the safe storage location information shall be used as the final transportation and storage point for the aluminum coils.

[0124] It should be noted that in the later stage of the transportation process, the aluminum coils are generally transported to a storage point. At the storage point, there is often more or less water accumulation on the ground due to some irresistible reasons. Storing aluminum coils in water-logged areas can easily lead to oxidation corrosion. Therefore, when transporting to the storage point, by analyzing the water accumulation situation at the current storage point, a better storage location can be obtained, thereby reducing the transportation wear of the aluminum coils.

[0125] According to an embodiment of the present invention, it also includes:

[0126] Acquire aluminum coil image data and aluminum coil transportation process image data;

[0127] Compare and analyze the distinguishing features of the aluminum coil image data and the aluminum coil transportation process image data to determine whether there are distinguishing features of the protective device;

[0128] If there are no distinguishing features of the protective device, then the protective device is installed;

[0129] Perform contour posture feature analysis on the aluminum coil image data and the aluminum coil transportation process image data to obtain the aluminum coil stable placement posture feature and the aluminum coil transportation posture feature;

[0130] The aluminum coil transportation posture characteristics are compared with the preset transportation posture characteristics to obtain the posture similarity;

[0131] If the posture similarity is less than the preset similarity, the aluminum coil is safely hoisted again until the posture similarity is greater than or equal to the preset similarity;

[0132] Acquire the aluminum coil transportation and placement image data, and perform contour posture feature analysis on the aluminum coil transportation and placement image data to obtain the placement posture features after transportation;

[0133] The placement posture feature after transportation is compared with the stable placement posture feature of the aluminum coil to obtain posture adjustment information, and the posture of the aluminum coil is adjusted according to the posture adjustment information.

[0134] Figure 4 A block diagram of an intelligent crane aluminum coil identification and handling system based on data analysis of the present invention is shown.

[0135] The second aspect of the present invention further provides an intelligent crane aluminum coil identification and handling system 4 based on data analysis, the system comprising: a memory 41, a processor 42, the memory comprising an intelligent crane aluminum coil identification and handling method program based on data analysis, the intelligent crane aluminum coil identification and handling method program based on data analysis when executed by the processor implements the following steps:

[0136] Acquire the aluminum coil image data, perform image recognition and analysis based on the aluminum coil image data, and obtain the aluminum coil space size information and aluminum coil shape information;

[0137] Obtain aluminum coil location data and storage point location data;

[0138] Import the aluminum coil location data and storage point location data into the 3D route analysis model for route planning analysis to obtain feasible route data;

[0139] Analyze the optimal route data from the feasible route data according to the aluminum coil space size information and aluminum coil shape information;

[0140] The aluminum coils are transported according to the preferred route data, and the image data of the aluminum coil transportation process is obtained. The deformation information of the aluminum coils is analyzed in real time according to the image data of the transportation process, and the transportation termination judgment is made according to the deformation information.

[0141] According to an embodiment of the present invention, the step of acquiring the aluminum coil image data, performing image recognition and analysis based on the aluminum coil image data, and obtaining the aluminum coil space size information and aluminum coil shape information further includes:

[0142] Acquire the aluminum coil image data, perform image segmentation on the aluminum coil image data, and obtain the aluminum coil main body image data and reference object image data;

[0143] Perform image ratio analysis on the reference image data to obtain a spatial scaling coefficient;

[0144] Extract contour points from the main image data of the aluminum coil to obtain characteristic contour points;

[0145] Perform area calculation and analysis based on the characteristic contour points to obtain the aluminum coil image area;

[0146] The spatial size information of the aluminum coil is obtained by performing spatial calculation and conversion according to the aluminum coil image area and the spatial scaling coefficient.

[0147] It should be noted that the aluminum coil image data includes an aluminum coil image and a reference image. The reference is generally an aluminum coil loading container. The reference image data is subjected to image ratio analysis to obtain a spatial scaling coefficient, specifically, the spatial scaling coefficient is obtained by performing a ratio analysis between the size of the reference object in the image and its actual size.

[0148] According to an embodiment of the present invention, the aluminum coil image data is obtained, and image recognition and analysis are performed based on the aluminum coil image data to obtain the aluminum coil space size information and aluminum coil shape information, specifically:

[0149] Perform image smoothing and noise reduction preprocessing on the aluminum coil image data to obtain enhanced aluminum coil image data;

[0150] Extract features of the enhanced aluminum coil image data to obtain aluminum coil feature data;

[0151] Perform shape feature analysis on the aluminum coil feature data to obtain main contour information and regional contour information;

[0152] The main contour information and the regional contour information are integrated to obtain the aluminum coil shape information.

[0153] It should be noted that the aluminum coil image data is image data before transportation and loading.

[0154] According to an embodiment of the present invention, the aluminum coil location data and the storage point location data are imported into a three-dimensional route analysis model for route planning analysis to obtain feasible route data, which includes:

[0155] Obtain overall image data of the crane transportation site;

[0156] Perform three-dimensional space model analysis based on the overall image data to obtain three-dimensional map data;

[0157] The overall image data is segmented and identified as obstacles, and combined with the three-dimensional map data to obtain the obstacle point location information and obstacle point space size information.

[0158] It should be noted that the overall image data is specifically the omnidirectional image data of the aluminum coil crane transportation site, through which the spatial size and obstacle point information of the crane transportation site can be analyzed. The overall image data of the crane transportation site is obtained by an image acquisition device, and generally 10 or more image acquisition devices are set in the crane transportation site.

[0159] According to an embodiment of the present invention, the aluminum coil location data and storage point location data are imported into a three-dimensional route analysis model for route planning analysis to obtain feasible route data, specifically:

[0160] Import the aluminum coil location data and storage point location data into the 3D route analysis model, combine the 3D map data to perform basic route planning, and obtain basic route data;

[0161] Import obstacle point location information, obstacle point space size information and basic route data into the three-dimensional route analysis model;

[0162] The three-dimensional route analysis model performs route feasibility analysis based on the obstacle point location information and obstacle point space size information, and eliminates infeasible routes from the basic route data to obtain feasible route data.

[0163] It should be noted that the three-dimensional route analysis model is specifically a route planning model, and the route planning algorithms used by the model include but are not limited to Dijkstra algorithm, PRM algorithm,

[0164] RRT algorithm, etc.

[0165] According to an embodiment of the present invention, the preferred route data is analyzed from the feasible route data according to the aluminum coil space size information and the aluminum coil shape information, specifically:

[0166] Perform three-dimensional route analysis on feasible route data to obtain route obstacle information;

[0167] According to the route obstacle information, the obstacle quantity information, obstacle width information, and obstacle height information are analyzed;

[0168] The obstacle quantity information, obstacle width information, obstacle height information, aluminum coil space size information and aluminum coil shape information are imported into the three-dimensional route analysis model, and the transportation loss index of each feasible route data is calculated and analyzed;

[0169] Analyze and compare the transport loss index to obtain the optimal route data;

[0170] The specific calculation formula of the transportation loss index is:

[0171]

[0172] in, is the transport loss index, W is the width of the aluminum coil space, is the average spatial height of obstacles, is the minimum width of the obstacle, is the maximum width of the obstacle, is the total distance of the route space.

[0173] It should be noted that the route obstacle information includes obstacle point location information and obstacle point space size information. The feasible route data is generally a plurality of data, and the preferred route data generally corresponds to one route data. The transportation loss index is an indicator reflecting the safe transportation of aluminum coils. The preferred route data is obtained by analyzing and comparing the size of the transportation loss index, specifically selecting the feasible route data corresponding to the smallest value of the transportation loss index as the preferred route data.

[0174] According to an embodiment of the present invention, the aluminum coil is transported according to the preferred route data, and the image data of the aluminum coil transportation process is obtained, the deformation information of the aluminum coil is analyzed in real time according to the image data of the transportation process, and the transportation termination judgment is made according to the deformation information, specifically:

[0175] Real-time acquisition of aluminum coil transportation process image data and image data preprocessing to obtain transportation comparison image data;

[0176] Perform image recognition and analysis based on the transportation comparison image data to obtain first space size information and first result shape information;

[0177] Compare and analyze the first space size information, the first result shape information, the aluminum coil space size information, and the aluminum coil shape information to obtain the aluminum coil deformation information;

[0178] The aluminum coil transportation deformation index is obtained through the aluminum coil deformation information;

[0179] Real-time judgment of whether the aluminum coil transportation deformation index is greater than the preset threshold;

[0180] If the aluminum coil transportation deformation index is greater than a preset threshold, a transportation termination message is sent to a preset terminal device, and the aluminum coil deformation information is sent to the preset terminal device.

[0181] It should be noted that during the transportation of aluminum coils, the aluminum coils may be deformed due to unreasonable handling and installation of the aluminum coils, too fast and too hasty transportation, etc., which may further damage the goods. By acquiring and analyzing the image data of the aluminum coil transportation process, the deformation of the aluminum coils during transportation can be acquired in real time, and the transportation of the aluminum coils can be reasonably interrupted when deformation occurs. The preset terminal device includes a preset computer terminal device and a mobile terminal device.

[0182] According to an embodiment of the present invention, it also includes:

[0183] Get storage point location data;

[0184] According to the storage point location data, obtain the ground image data of the storage point;

[0185] The ground image data of the storage point is preprocessed and image grayscale analysis is performed to obtain ground waterlogging area image data;

[0186] Perform regional analysis based on ground waterlogging area image data and storage point ground image data to obtain waterlogging area location data;

[0187] Perform data fusion analysis on the storage point location data and the waterlogged area location data to obtain safe storage location information;

[0188] The safe location in the safe storage location information shall be used as the final transportation and storage point for the aluminum coils.

[0189] It should be noted that in the later stage of the transportation process, the aluminum coils are generally transported to a storage point. At the storage point, there is often more or less water accumulation on the ground due to some irresistible reasons. Storing aluminum coils in water-logged areas can easily lead to oxidation corrosion. Therefore, when transporting to the storage point, by analyzing the water accumulation situation at the current storage point, a better storage location can be obtained, thereby reducing the transportation wear of the aluminum coils.

[0190] The third aspect of the present invention also provides a computer-readable storage medium, which includes a program for an intelligent crane aluminum coil identification and handling method based on data analysis. When the program for an intelligent crane aluminum coil identification and handling method based on data analysis is executed by a processor, the steps of the intelligent crane aluminum coil identification and handling method based on data analysis as described in any one of the above items are implemented.

[0191] The present invention discloses a method and system for intelligent crane aluminum coil identification and handling based on data analysis. By acquiring aluminum coil image data and aluminum coil position data, the size and shape information of the aluminum coil is obtained, and according to the current crane transportation environment, combined with a three-dimensional route analysis model, a comprehensive analysis is made of the preferred transportation route suitable for the current aluminum coil cargo, thereby reducing the wear, bumps, scratches, etc. of the aluminum coil during transportation. In addition, the present invention acquires aluminum coil deformation information in real time, analyzes the current aluminum coil deformation situation, and makes a reasonable judgment on whether to terminate the transportation, thereby reducing the aluminum coil deformation caused by unreasonable aluminum coil handling and installation, and can further realize the safe transportation and handling of aluminum coil cargo.

[0192] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0193] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0194] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0195] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0196] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0197] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for identifying and handling aluminum coils by an intelligent crane based on data analysis, characterized in that: include: Acquire the aluminum coil image data, perform image recognition and analysis based on the aluminum coil image data, and obtain the aluminum coil space size information and aluminum coil shape information; Obtain aluminum coil location data and storage point location data; Import the aluminum coil location data and storage point location data into the 3D route analysis model for route planning analysis to obtain feasible route data; Analyze the optimal route data from the feasible route data according to the aluminum coil space size information and aluminum coil shape information; The aluminum coils are transported according to the optimal route data, and the image data of the aluminum coil transportation process is obtained. The deformation information of the aluminum coils is analyzed in real time according to the image data of the transportation process, and the transportation termination is judged according to the deformation information; The step of importing the aluminum coil location data and the storage point location data into the three-dimensional route analysis model for route planning analysis to obtain feasible route data includes: Obtain overall image data of the crane transportation site; Perform three-dimensional space model analysis based on the overall image data to obtain three-dimensional map data; The overall image data is segmented and identified as obstacles, and combined with the three-dimensional map data to obtain the location information and spatial size information of the obstacle points; The aluminum coil location data and storage point location data are imported into the three-dimensional route analysis model for route planning analysis to obtain feasible route data, specifically: Import the aluminum coil location data and storage point location data into the 3D route analysis model, combine the 3D map data to perform basic route planning, and obtain basic route data; Import obstacle point location information, obstacle point space size information and basic route data into the three-dimensional route analysis model; The three-dimensional route analysis model performs route feasibility analysis based on the location information and spatial size information of obstacle points, and eliminates infeasible routes from the basic route data to obtain feasible route data; The preferred route data is analyzed from the feasible route data according to the aluminum coil space size information and the aluminum coil shape information, specifically: Perform three-dimensional route analysis on feasible route data to obtain route obstacle information; According to the route obstacle information, the obstacle quantity information, obstacle width information, and obstacle height information are analyzed; The obstacle quantity information, obstacle width information, obstacle height information, aluminum coil space size information and aluminum coil shape information are imported into the three-dimensional route analysis model, and the transportation loss index of each feasible route data is calculated and analyzed; Analyze and compare the transport loss index to obtain the optimal route data; The specific calculation formula of the transportation loss index is: Among them, D v is the transport loss index, W is the width of the aluminum coil space, H A is the average spatial height of the obstacle, M1 is the minimum width of the obstacle, M2 is the maximum width of the obstacle, L s is the total distance of the route space.

2. According to the data analysis-based intelligent crane aluminum coil identification and handling method according to claim 1, it is characterized in that: The obtaining of the aluminum coil image data, performing image recognition and analysis based on the aluminum coil image data, and obtaining the aluminum coil space size information and aluminum coil shape information, further includes: Acquire the aluminum coil image data, perform image segmentation on the aluminum coil image data, and obtain the aluminum coil main body image data and reference object image data; Perform image ratio analysis on the reference image data to obtain a spatial scaling coefficient; Extract contour points from the main image data of the aluminum coil to obtain characteristic contour points; Perform area calculation and analysis based on the characteristic contour points to obtain the aluminum coil image area; The spatial size information of the aluminum coil is obtained by performing spatial calculation and conversion according to the aluminum coil image area and the spatial scaling coefficient.

3. The method for identifying and handling aluminum coils by an intelligent crane based on data analysis according to claim 1 is characterized in that: The aluminum coil image data is obtained, and image recognition and analysis are performed according to the aluminum coil image data to obtain the aluminum coil space size information and aluminum coil shape information, specifically: Perform image smoothing and noise reduction preprocessing on the aluminum coil image data to obtain enhanced aluminum coil image data; Extract features of the enhanced aluminum coil image data to obtain aluminum coil feature data; Perform shape feature analysis on the aluminum coil feature data to obtain main contour information and regional contour information; The main contour information and the regional contour information are integrated to obtain the aluminum coil shape information.

4. The method for identifying and handling aluminum coils by an intelligent crane based on data analysis according to claim 1 is characterized in that: The aluminum coils are transported according to the preferred route data, and image data of the aluminum coil transportation process is obtained. The aluminum coil deformation information is analyzed in real time according to the image data of the transportation process, and the transportation termination is judged according to the deformation information. Specifically, Real-time acquisition of aluminum coil transportation process image data and image data preprocessing to obtain transportation comparison image data; Perform image recognition and analysis based on the transportation comparison image data to obtain first space size information and first result shape information; Compare and analyze the first space size information, the first result shape information, the aluminum coil space size information, and the aluminum coil shape information to obtain the aluminum coil deformation information; The aluminum coil transportation deformation index is obtained through the aluminum coil deformation information; Real-time judgment of whether the aluminum coil transportation deformation index is greater than the preset threshold; If the aluminum coil transportation deformation index is greater than a preset threshold, a transportation termination message is sent to a preset terminal device, and the aluminum coil deformation information is sent to the preset terminal device.

5. An intelligent crane aluminum coil identification and handling system based on data analysis, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program for an intelligent crane aluminum coil identification and handling method based on data analysis, and when the program for an intelligent crane aluminum coil identification and handling method based on data analysis is executed by the processor, all steps of an intelligent crane aluminum coil identification and handling method based on data analysis as claimed in claim 1 are implemented.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a program for an intelligent crane aluminum coil identification and handling method based on data analysis. When the program for an intelligent crane aluminum coil identification and handling method based on data analysis is executed by a processor, the steps of the intelligent crane aluminum coil identification and handling method based on data analysis as described in any one of claims 1 to 4 are implemented.

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