Intelligent removing method and system for burrs in engine shell

Abstract

The invention discloses a method and system for intelligently removing burrs in an engine shell, and relates to the technical field of image processing, and the method comprises the steps: obtaining a real-time image in the engine shell, and carrying out the position analysis processing of the real-time image in the engine shell; and according to the burr position in the shell, the interior of the engine shell is calculated, analyzed and processed, and the burr volume in the shell is determined. Pixel value comparison is carried out on a real-time image in an engine shell through a standard image in the engine shell, the positions with different pixel values are burr positions in the shell, then depth image collection is carried out on the burr positions in the shell through a depth camera, distance calculation and three-dimensional modeling are carried out on the burr positions, a burr model is determined, and finally, the burr model is obtained. According to the method, the volume of the burr model is calculated, and the removing scheme of burrs of different volumes is determined, so that the appearance of the transmitter shell is more perfect, the influence of the burrs on part assembling is removed, and in addition, the damage of the burrs to the body of an assembling worker is avoided.

Description

Technical Field

[0001] This invention relates to the field of image processing technology, specifically to a method and system for intelligent removal of burrs inside an engine housing. Background Technology

[0002] The engine housing is the "skeleton" and "armor" of a car engine. It is not only the mounting base for various engine components, but also forms the combustion chamber, cooling water jacket and oil passage, and protects the internal precision components from external damage.

[0003] Burrs are a common problem in the manufacturing process, especially in the machining of precision mechanical parts such as engines. Burrs are usually caused by irregular material residues from cutting, casting, or forming processes. They not only affect the appearance of the product, but may also affect the assembly and performance of parts, and in some cases, they can even pose safety hazards. Summary of the Invention

[0004] To solve the above-mentioned technical problems, a method and system for intelligent burr removal inside engine housing is provided. This technical solution solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for intelligent burr removal inside an engine housing includes: Acquire real-time images of the engine housing, perform positional analysis on the real-time images of the engine housing, and determine the location of burrs inside the housing; Based on the location of the burrs inside the housing, the volume of the burrs inside the engine housing is determined by calculation and analysis. A comparative analysis of the volume of burrs inside the casing was conducted to determine a burr removal scheme, which specifically includes the following steps: The volume of burrs inside the shell and the set burr volume threshold are judged and processed. If the volume of the burrs inside the shell is less than the first threshold value of the burr volume, the burrs inside the shell are small, and the burrs inside the shell are removed by a high-energy laser beam. If the volume of burrs inside the shell is greater than or equal to the first threshold of the set burr volume, and the volume of burrs inside the shell is less than the second threshold of the set burr volume, the volume of burrs inside the shell is moderate, and the burrs inside the shell are removed by mechanical means. If the volume of burrs inside the casing is greater than or equal to the second threshold value for burr volume, and the volume of burrs inside the casing is large, the burrs inside the casing are removed by electrolysis.

[0006] Preferably, the steps of acquiring an image inside the engine housing, performing positional analysis on the image, and determining the location of burrs inside the housing specifically include the following steps: The database system is used to read and process data to obtain standard images of the engine casing. Data reading and processing are performed on standard images inside the engine housing to determine the shooting parameters of the standard images inside the engine housing; Based on the shooting parameters of the standard image inside the engine casing, the parameters of the image capturing equipment are adjusted. Based on the image capturing equipment, image acquisition and processing are performed on the interior of the engine housing to be inspected to obtain real-time images of the engine housing. Based on standard images of the engine housing, real-time images of the engine housing are compared and analyzed to determine the location of burrs inside the housing.

[0007] Preferably, the step of comparing and analyzing real-time images of the engine housing based on standard images of the engine housing to determine the location of burrs within the housing specifically includes the following steps: Using the lower left corner of the standard image inside the engine housing as the origin of the coordinate system, the X-axis is set according to the horizontal direction of the standard image inside the engine housing, and the Y-axis is set according to the vertical direction of the standard image inside the engine housing, thus constructing a first rectangular coordinate system; Based on the construction method of the first rectangular coordinate system, a second rectangular coordinate system is constructed for the real-time images inside the engine casing; The pixels of the standard image and the real-time image inside the engine housing are marked according to the first and second rectangular coordinate systems respectively, so as to obtain the pixel coordinates of the standard image and the real-time image inside the housing. By comparing and analyzing the pixel coordinates of the standard image inside the shell and the pixel coordinates of the real-time image inside the shell, the location of the burrs inside the shell can be determined.

[0008] Preferably, the step of comparing and analyzing the pixel coordinates of the standard image inside the housing and the pixel coordinates of the real-time image inside the housing to determine the location of the burrs inside the housing specifically includes the following steps: The pixel coordinates of the standard image inside the shell and the pixel coordinates of the real-time image inside the shell are matched to determine the pixel values ​​of the standard image inside the shell and the real-time image inside the shell under the same coordinates. The pixel values ​​of the standard image inside the shell and the real-time image inside the shell at the same coordinates are judged and processed. If the pixel values ​​of the standard image inside the shell at the same coordinates are the same as the pixel values ​​of the real-time image inside the shell at the same coordinates, then there are no burrs inside the shell at that coordinate. If the pixel values ​​of the standard image inside the shell at the same coordinates are different from the pixel values ​​of the real-time image inside the shell at the same coordinates, then there are burrs inside the shell at that coordinate, and that coordinate is set as the burr position inside the shell.

[0009] Preferably, the step of calculating and analyzing the engine housing based on the location of burrs inside the housing to determine the volume of burrs specifically includes the following steps: Based on the location of the burrs inside the housing, the depth camera is controlled to perform image acquisition and processing inside the engine housing to obtain depth images of the burrs. Data acquisition and processing are performed on the depth camera to determine the shooting parameters of the depth camera; Image analysis and processing are performed on the depth image of the burr to determine the encoding method of the depth image; Based on the shooting parameters of the depth camera and the encoding method of the depth image, the depth image of the burr is processed to obtain the actual distance set; The actual distance set is calculated and analyzed to determine the volume of burrs inside the shell.

[0010] Preferably, the step of calculating and analyzing the actual distance set to determine the burr volume inside the shell specifically includes the following steps: Based on the maximum value function, the actual distance set is sorted to determine the sorted actual distance set; Based on the actual distance sorted set, the burrs are modeled and the burr model is determined; The burr model is processed by calculation to determine the volume of burrs inside the shell.

[0011] Preferably, the step of modeling the burrs based on the actual distance sorting set and determining the burr model specifically includes the following steps: Extract and process the data from the sorted set of actual distances to determine the maximum actual distance; Data extraction and processing are performed on the sorted set of actual distances to determine the minimum actual distance; In 3D MAX software, the maximum actual distance is used as the bottom surface of the burr, and the minimum actual distance is used as the top surface of the burr. The remaining data in the sorted set of actual distances are then used to fill the space between the bottom surface and the top surface of the burr to determine the burr model.

[0012] Preferably, the calculation and processing of the burr model to determine the burr volume inside the shell specifically includes the following steps: Based on the burr model, function matching is performed to determine the burr shape similarity function; Data extraction and processing are performed on the burr model to determine the outer surface contour of the burr; Based on the similarity function between the outer surface contour of the burr and the shape of the burr, the burr model is processed by integral operation to determine the volume of the burr inside the shell.

[0013] Furthermore, an intelligent burr removal system for engine housings is proposed to implement the aforementioned intelligent burr removal method for engine housings, comprising: The intelligent analysis terminal controls various modules to perform positional analysis on real-time images inside the engine housing to determine the location of burrs within the housing; it also controls various modules to perform 3D modeling and calculation of the burrs inside the housing to determine their volume; it further controls various modules to perform comparative analysis of the burr volumes to determine a burr removal scheme; and it controls data transmission and information exchange between the various modules. A database system for storing standard images of the engine housing; The parameter adjustment module adjusts the parameters of the image capturing device according to the capturing parameters of the standard image inside the engine housing. An image capturing device is used to acquire and process images of the interior of the engine housing to be inspected, thereby obtaining real-time images of the engine housing. A coordinate system construction module, which is used to construct a first rectangular coordinate system and a second rectangular coordinate system; A burr location determination module is used to compare and judge the pixel values ​​of a standard image inside the shell and a real-time image inside the shell under the same coordinates to determine the burr location inside the shell. A depth camera is used to acquire and process images of the engine housing based on the location of burrs inside the housing, thereby obtaining a depth image of the burrs. The distance calculation module is used to calculate and process the depth image of the burr to determine the actual distance set; 3D MAX software, wherein the 3D MAX software performs modeling processing based on the actual distance set to determine the burr model; A volume calculation module is used to perform integral calculations on the burr model to determine the volume of the burrs inside the shell. The scheme determination module is used to compare and judge the volume of burrs inside the shell to determine the burr removal scheme.

[0014] Compared with the prior art, the present invention provides a method and system for intelligent burr removal inside an engine housing, which has the following beneficial effects: This invention compares the pixel values ​​of a standard image inside the engine housing with real-time images inside the engine housing. The locations with different pixel values ​​are the burr locations inside the housing. Then, a depth camera is used to acquire depth images of the burr locations inside the housing, and distance calculation and 3D modeling are performed to determine the burr model. Finally, the volume of the burr model is calculated to determine the removal scheme for burrs of different volumes. This not only makes the appearance of the engine housing more perfect, but also eliminates the impact of burrs on the assembly of parts. In addition, it avoids the injury of assembly workers caused by burrs. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating steps S100-S300 of the intelligent burr removal method for engine housing proposed in this invention. Figure 2 This is a structural block diagram of an intelligent burr removal system for engine housings proposed in this invention. Detailed Implementation

[0016] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0017] Reference Figure 1 As shown, a method for intelligent burr removal inside an engine housing includes: S100. Acquire a real-time image of the engine housing, perform position analysis processing on the real-time image of the engine housing, and determine the location of the burrs inside the housing. S200. Based on the location of the burrs inside the housing, perform calculation and analysis on the engine housing to determine the volume of the burrs inside the housing. S300. Compare and analyze the volume of burrs inside the housing to determine the burr removal plan, which includes the following steps: S301. The volume of burrs inside the shell and the set burr volume threshold are judged and processed. S302. If the volume of the burrs inside the housing is less than the first threshold value of the set burr volume, the burrs inside the housing are small, and the burrs inside the housing are removed by a high-energy laser beam. S303. If the volume of burrs inside the housing is greater than or equal to the first threshold of the set burr volume, and the volume of burrs inside the housing is less than the second threshold of the set burr volume, and the volume of burrs inside the housing is moderate, the burrs inside the housing are removed by mechanical means. S304. If the volume of burrs inside the shell is greater than or equal to the second threshold value of the set burr volume, and the volume of burrs inside the shell is large, the burrs inside the shell shall be removed by electrolysis. Those skilled in the art will understand that during the production process of the engine housing, burrs may be generated inside the engine housing due to casting processes, cutting, or other reasons. When burrs are present inside the engine housing, they not only affect the assembly of parts but also the subsequent performance of the engine. In addition, if the assemblers are not careful during the assembly process, the burrs may cause injury to the assemblers. Therefore, by comparing the pixel values ​​of real-time images inside the engine housing to determine the location of the burrs, and then calculating the volume of the burrs to determine the burr removal plan, the above method can not only reduce the difficulty of parts assembly but also improve the performance of the engine. In this embodiment, when the burrs on the engine are small, mechanical methods are not suitable. If mechanical methods are used, it may cause some damage to the engine housing. Larger burrs are also not suitable for mechanical methods because the burrs are too large. Using mechanical methods to remove the burrs will take a long time, and the long time will increase the temperature of the engine housing. Under high temperature conditions, the performance of the engine housing will be reduced.

[0018] Example 1 Step S100: Acquire an image of the engine housing, perform positional analysis on the image to determine the location of burrs within the housing. This specifically includes the following steps: S101. Perform data reading and processing on the database system to obtain a standard image of the engine casing; S102. Perform data reading and processing on the standard image inside the engine housing to determine the shooting parameters of the standard image inside the engine housing; S103. Adjust the parameters of the image capturing device according to the shooting parameters of the standard image inside the engine housing; S104. Using the image capturing device, perform image acquisition and processing on the inside of the engine housing to be inspected, and obtain a real-time image of the inside of the engine housing. S105. Based on the standard image inside the engine housing, perform comparative analysis and processing on the real-time image inside the engine housing to determine the location of burrs inside the housing. Understandably, setting up a control group can quickly determine the location of burrs in the engine housing, and a standard image inside the engine housing serves as a good control group. Therefore, by comparing each pixel value of the standard image inside the engine housing with each pixel value of the real-time image inside the engine housing, the presence of burrs inside the engine housing can be determined when the pixel values ​​differ. However, for two different images to be compared, they need to have the same shooting parameters. If the shooting parameters are different, they cannot be compared. Therefore, before acquiring the real-time image inside the engine housing, the parameters of the image capturing device need to be adjusted to ensure that both images have the same shooting parameters.

[0019] Specifically, step S105, which involves comparing and analyzing real-time images of the engine housing based on standard images inside the housing to determine the location of burrs inside the housing, includes the following steps: S1051. Using the lower left corner of the standard image inside the engine housing as the origin of the coordinate system, set the X-axis according to the horizontal direction of the standard image inside the engine housing, and set the Y-axis according to the vertical direction of the standard image inside the engine housing to construct a first rectangular coordinate system. S1052. Based on the construction method of the first rectangular coordinate system, construct a second rectangular coordinate system for the real-time image inside the engine casing; S1053. Mark the pixels of the standard image inside the engine housing and the real-time image inside the engine housing according to the first rectangular coordinate system and the second rectangular coordinate system respectively, and obtain the pixel coordinates of the standard image inside the housing and the pixel coordinates of the real-time image inside the housing. S1054. Compare and analyze the pixel coordinates of the standard image inside the shell and the pixel coordinates of the real-time image inside the shell to determine the location of the burrs inside the shell. Understandably, to quickly compare pixel values ​​at each location, it is necessary to first define the pixel value at each location. By constructing the same Cartesian coordinate system for the two images, the pixel values ​​of the two images can have the same definition. It is worth noting that when there are no burrs inside the engine housing and the shooting parameters are the same, then the pixel values ​​at each location in the two images are the same. Here, the same pixel values ​​mean that the pixel values ​​at the same coordinates are the same.

[0020] Specifically, step S1054, comparing and analyzing the pixel coordinates of the standard image inside the shell and the pixel coordinates of the real-time image inside the shell to determine the location of the burrs inside the shell, includes the following steps: S10541. Match the pixel coordinates of the standard image inside the shell and the pixel coordinates of the real-time image inside the shell to determine the pixel values ​​of the standard image inside the shell and the real-time image inside the shell under the same coordinates. S10542. Perform judgment processing on the pixel values ​​of the standard image inside the shell under the same coordinates and the pixel values ​​of the real-time image inside the shell under the same coordinates. S10543. If the pixel values ​​of the standard image inside the shell at the same coordinates are the same as the pixel values ​​of the real-time image inside the shell at the same coordinates, then there are no burrs inside the shell at that coordinate. S10544. If the pixel values ​​of the standard image inside the shell at the same coordinates are different from the pixel values ​​of the real-time image inside the shell at the same coordinates, then there are burrs inside the shell at that coordinate, and that coordinate is set as the burr position inside the shell. It is understandable that when the pixel value at a certain position in the real-time image inside the shell is different from the pixel value at the same position in the standard image inside the shell, it indicates that there is a burr at that position. Therefore, this coordinate is set as the burr position inside the shell.

[0021] Example 2 Step S200: Based on the location of the burrs inside the housing, perform calculation and analysis on the engine housing to determine the volume of the burrs inside the housing. This specifically includes the following steps: S201. Based on the location of the burrs inside the housing, control the depth camera to perform image acquisition and processing on the inside of the engine housing to obtain a depth image of the burrs. S202. Perform data acquisition and processing on the depth camera to determine the shooting parameters of the depth camera; S203. Perform image analysis processing on the depth image of the burrs to determine the encoding method of the depth image; S204. Based on the shooting parameters of the depth camera and the encoding method of the depth image, perform calculation processing on the depth image of the burr to obtain the actual distance set; S205. Perform calculation and analysis on the actual distance set to determine the volume of burrs inside the shell; As those skilled in the field can understand, depth values ​​can be converted into actual distances. However, the parameters and types of the shooting equipment are essential parameters in the conversion process. Therefore, it is necessary to obtain the shooting parameters and the encoding method of the depth image from the depth camera and the burr to obtain the actual distance data between the depth camera and the burr.

[0022] Specifically, step S205, calculating and analyzing the actual distance set to determine the burr volume inside the shell, includes the following steps: S2051. Based on the maximum value function, sort the actual distance set to determine the sorted actual distance set; S2052. Based on the actual distance sorting set, model the burrs and determine the burr model; S2053. Perform calculations on the burr model to determine the volume of burrs inside the shell.

[0023] Specifically, step S2052, which involves modeling the burrs based on the actual distance sorting set and determining the burr model, includes the following steps: S20521. Perform data extraction processing on the sorted set of actual distances to determine the maximum value of the actual distance; S20522. Perform data extraction processing on the sorted set of actual distances to determine the minimum actual distance; S20523. In 3D MAX software, the maximum actual distance is used as the bottom surface of the burr, the minimum actual distance is used as the top surface of the burr, and the remaining data in the sorted set of actual distances are sequentially filled between the bottom surface and the top surface of the burr to determine the burr model. Understandably, the minimum value in the actual distance set is the top of the burr, which is the highest point of the burr and the closest position to the depth camera. The farthest position from the depth camera is the bottom of the burr, which is the surface of the engine casing. When modeling the burr, the bottom of the burr, which is the maximum value of the actual distance, needs to be determined first. The remaining data is the data between the bottom and top of the burr. Filling this data between the bottom and top of the burr completes the burr modeling.

[0024] Step S2053, calculating and processing the burr model to determine the burr volume inside the shell, specifically includes the following steps: S20531. Based on the burr model, perform function matching to determine the burr shape similarity function; S20532. Extract and process data from the burr model to determine the outer surface contour of the burr. S20533. Based on the similarity function between the outer surface contour of the burr and the shape of the burr, perform integral calculation on the burr model to determine the volume of the burr inside the shell. Understandably, different burr volumes require different removal schemes. Therefore, burrs need to be classified according to their volume. Since burr shapes are generally irregular, determining the shape of the burr allows us to select the corresponding similarity function. Subsequently, we can calculate the burr volume using triple integrals, and then determine the appropriate removal scheme based on the burr volume. This avoids selecting an unsuitable scheme for burr removal, as using an unsuitable removal scheme may affect the performance of the engine housing and thus the engine's lifespan.

[0025] Reference Figure 2 As shown, an intelligent burr removal system for engine housings is used to implement the intelligent burr removal method for engine housings as described above, comprising: The intelligent analysis terminal controls various modules to perform positional analysis on real-time images inside the engine housing to determine the location of burrs within the housing; it also controls various modules to perform 3D modeling and calculation of the burrs inside the housing to determine their volume; it further controls various modules to perform comparative analysis of the burr volumes to determine a burr removal scheme; and it controls data transmission and information exchange between the various modules. A database system for storing standard images of the engine housing; The parameter adjustment module adjusts the parameters of the image capturing device according to the capturing parameters of the standard image inside the engine housing. An image capturing device is used to acquire and process images of the interior of the engine housing to be inspected, thereby obtaining real-time images of the engine housing. A coordinate system construction module, which is used to construct a first rectangular coordinate system and a second rectangular coordinate system; A burr location determination module is used to compare and judge the pixel values ​​of a standard image inside the shell and a real-time image inside the shell under the same coordinates to determine the burr location inside the shell. A depth camera is used to acquire and process images of the engine housing based on the location of burrs inside the housing, thereby obtaining a depth image of the burrs. The distance calculation module is used to calculate and process the depth image of the burr to determine the actual distance set; 3D MAX software, wherein the 3D MAX software performs modeling processing based on the actual distance set to determine the burr model; A volume calculation module is used to perform integral calculations on the burr model to determine the volume of the burrs inside the shell. The scheme determination module is used to compare and judge the volume of burrs inside the shell to determine the burr removal scheme.

[0026] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. An intelligent deburring method in an engine housing, characterized by, The method comprises the following steps: acquiring real-time images in the engine shell, performing position analysis on the real-time images in the engine shell, and determining the position of burrs in the shell; performing calculation analysis on the engine shell according to the position of burrs in the shell, and determining the volume of burrs in the shell; performing comparative analysis on the volume of burrs in the shell, and determining the removal scheme of burrs in the shell, which comprises the following steps: judging the volume of burrs in the shell and the set burr volume threshold value; if the volume of burrs in the shell is less than the set burr volume first threshold value, the volume of burrs in the shell is small, and the burrs in the shell are removed by a high-energy laser beam; if the volume of burrs in the shell is greater than or equal to the set burr volume first threshold value and less than the set burr volume second threshold value, the volume of burrs in the shell is moderate, and the burrs in the shell are removed by a mechanical method; if the volume of burrs in the shell is greater than or equal to the set burr volume second threshold value, the volume of burrs in the shell is large, and the burrs in the shell are removed by an electrolytic method.

2. The method of claim 1, wherein, The method comprises the following steps: performing data reading on the database system to acquire standard images in the engine shell; performing data reading on the standard images in the engine shell to determine the shooting parameters of the standard images in the engine shell; adjusting the parameters of the image shooting device according to the shooting parameters of the standard images in the engine shell; performing image acquisition on the inside of the engine shell to be detected by the image shooting device to acquire real-time images in the engine shell; performing comparative analysis on the real-time images in the engine shell based on the standard images in the engine shell to determine the position of burrs in the shell.

3. The method of claim 2, wherein, The method comprises the following steps: taking the lower left corner of the standard images in the engine shell as the coordinate origin, setting the X-axis according to the horizontal direction of the standard images in the engine shell, setting the Y-axis according to the vertical direction of the standard images in the engine shell, and constructing a first rectangular coordinate system; constructing a second rectangular coordinate system according to the construction mode of the first rectangular coordinate system; performing marking on the pixel points of the standard images in the engine shell and the real-time images in the engine shell according to the first rectangular coordinate system and the second rectangular coordinate system respectively to acquire the pixel point coordinates of the standard images in the engine shell and the pixel point coordinates of the real-time images in the engine shell; performing comparative analysis on the pixel point coordinates of the standard images in the engine shell and the pixel point coordinates of the real-time images in the engine shell to determine the position of burrs in the shell.

4. The method of claim 3, wherein, The method comprises the following steps: performing matching on the pixel point coordinates of the standard images in the engine shell and the pixel point coordinates of the real-time images in the engine shell to determine the pixel values of the standard images in the engine shell under the same coordinates and the pixel values of the real-time images in the engine shell under the same coordinates; The pixel values ​​of the standard image inside the shell and the real-time image inside the shell at the same coordinates are judged and processed. If the pixel values ​​of the standard image inside the shell at the same coordinates are the same as the pixel values ​​of the real-time image inside the shell at the same coordinates, then there are no burrs inside the shell at that coordinate. If the pixel values ​​of the standard image inside the shell at the same coordinates are different from the pixel values ​​of the real-time image inside the shell at the same coordinates, then there are burrs inside the shell at that coordinate, and that coordinate is set as the burr position inside the shell.

5. The method of claim 1, wherein, The process of calculating and analyzing the burr volume within the engine housing based on its location includes the following steps: Based on the location of the burrs inside the housing, the depth camera is controlled to perform image acquisition and processing inside the engine housing to obtain depth images of the burrs. Data acquisition and processing are performed on the depth camera to determine the shooting parameters of the depth camera; Image analysis and processing are performed on the depth image of the burr to determine the encoding method of the depth image; Based on the shooting parameters of the depth camera and the encoding method of the depth image, the depth image of the burr is processed to obtain the actual distance set; The actual distance set is calculated and analyzed to determine the volume of burrs inside the shell.

6. The method of claim 5, wherein, The process of calculating and analyzing the actual distance set to determine the volume of the burrs inside the shell specifically includes the following steps: Based on the maximum value function, the actual distance set is sorted to determine the sorted actual distance set; Based on the actual distance sorted set, the burrs are modeled and the burr model is determined; The burr model is processed by calculation to determine the volume of burrs inside the shell.

7. The method of claim 6, wherein, The process of modeling burrs based on the sorted set according to actual distances and determining the burr model specifically includes the following steps: Extract and process the data from the sorted set of actual distances to determine the maximum actual distance; Data extraction and processing are performed on the sorted set of actual distances to determine the minimum actual distance; In 3D MAX software, the maximum actual distance is used as the bottom surface of the burr, and the minimum actual distance is used as the top surface of the burr. The remaining data in the sorted set of actual distances are then used to fill the space between the bottom surface and the top surface of the burr to determine the burr model.

8. The method of claim 6, wherein, The calculation and processing of the burr model to determine the burr volume inside the shell specifically includes the following steps: Based on the burr model, function matching is performed to determine the burr shape similarity function; Data extraction and processing are performed on the burr model to determine the outer surface contour of the burr; Based on the similarity function between the outer surface contour of the burr and the shape of the burr, the burr model is processed by integral operation to determine the volume of the burr inside the shell.

9. An intelligent deburring system for engine housings for implementing an intelligent deburring method for engine housings according to any one of claims 1 to 8, characterized in that, include: The intelligent analysis terminal is used to control the various modules to perform position analysis and processing on real-time images inside the engine housing to determine the location of burrs inside the housing. The intelligent analysis terminal is used to control the various modules to perform 3D modeling and calculation of burrs inside the shell to determine the volume of burrs inside the shell; the intelligent analysis terminal is used to control the various modules to perform comparative analysis of the volume of burrs inside the shell to determine the burr removal scheme; the intelligent analysis terminal is used to control the data transmission and information interaction between the various modules. A database system for storing standard images of the engine housing; The parameter adjustment module adjusts the parameters of the image capturing device according to the capturing parameters of the standard image inside the engine housing. An image capturing device is used to acquire and process images of the interior of the engine housing to be inspected, thereby obtaining real-time images of the engine housing. A coordinate system construction module, which is used to construct a first rectangular coordinate system and a second rectangular coordinate system; A burr location determination module is used to compare and judge the pixel values ​​of a standard image inside the shell and a real-time image inside the shell under the same coordinates to determine the burr location inside the shell. A depth camera is used to acquire and process images of the engine housing based on the location of burrs inside the housing, thereby obtaining a depth image of the burrs. A distance calculation module is used to calculate and process the depth image of the burr to determine the actual distance set; 3D MAX software, wherein the 3D MAX software performs modeling processing based on the actual distance set to determine the burr model; A volume calculation module is used to perform integral calculations on the burr model to determine the volume of the burrs inside the shell. The scheme determination module is used to compare and judge the volume of burrs inside the shell to determine the burr removal scheme.

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