Sensor installation technology whole-process construction method based on regional state recognition

Abstract

The invention provides a sensor installation technology full-process construction method based on area state recognition, and the method comprises the following steps: 1, collecting sensor information, and generating an installation support three-dimensional mathematical model; 2, combining sensor information and support structure optimization data of the three-dimensional digital model of the mounting support to generate a sensor mounting accessory and a support mounting accessory; 3, combining the installation support three-dimensional mathematical model, the support construction data set, the sensor installation accessories and the support installation accessories to generate a sensor assembly mathematical model; 4, generating an engineering drawing in combination with the sensor assembly mathematical model, the support structure optimization data and the support production process instruction; and 5, calling a technical file template, and generating a technical file in combination with the sensor assembly mathematical model, the support structure optimization data, the sensor mounting accessories and the support mounting accessories.

Description

Technical Field

[0001] The present invention belongs to the technical field of aviation flight test, and in particular relates to a method for constructing a full-process sensor installation process based on regional state recognition. Background Art

[0002] For the modification design work based on digital prototype, designers need to carry out a series of processes such as sensor bracket design, and then select accessories, assemble, draw bracket engineering drawings, and prepare technical documents.

[0003] However, the existing modification design methods based on digital prototypes have the problems of heavy workload and cumbersome work. Summary of the invention

[0004] The present invention provides a method for constructing the entire process of sensor installation technology based on regional state recognition, which can solve the problems of large workload and cumbersome work in existing modification design methods based on digital prototypes.

[0005] The invention is achieved through the following technical solutions:

[0006] A method for constructing a full process of a sensor installation process based on regional state recognition, the method comprising the following steps:

[0007] Step 1: Collect sensor information and generate a three-dimensional digital model of the mounting bracket;

[0008] Step 2: Generate sensor mounting accessories and support mounting accessories by combining sensor information and support structure optimization data of the three-dimensional digital model of the mounting support;

[0009] Step 3: Generate a sensor assembly digital model by combining the mounting support three-dimensional digital model, the support construction data set, the sensor mounting accessories, and the support mounting accessories;

[0010] Step 4: Generate engineering drawings by combining the sensor assembly digital model, support structure optimization data and support production process instructions;

[0011] Step 5: Call the technical document template, combine the sensor assembly digital model, support structure optimization data, sensor installation accessories and support installation accessories to generate the technical document.

[0012] Furthermore, step 1 includes:

[0013] Step 11: Use the InStr command to find the sensor support construction element library information and locate the element information location; use the Range command to obtain the support construction elements and determine the support construction data set;

[0014] Step 12: Combine the support to construct the data set, construct the data point coordinates through the AddNewPointCoord command, and reconstruct the installation surface through the AddNewPlane command; Combine the sensor installation requirements and the sensor support installation position coordinates, determine the reference surface and offset / rotation, and construct the support construction reference surface through the AddNewPlaneOffset command;

[0015] Step 13: extract the basic dimension data of the sensor support design, generate the support drawing parameters in combination with the support construction reference surface and the installation position coordinates, and generate the three-dimensional digital model of the installation support in combination with the secondary development function of the software;

[0016] Step 14: Use a deep learning algorithm to perform interference check on the three-dimensional digital model of the mounting support, further optimize the support structure, and obtain an optimized three-dimensional digital model of the mounting support.

[0017] Furthermore, step 2 includes:

[0018] Step 21: Identify the support structure optimization data, determine the thickness of the sensor installation surface, determine the specifications of the sensor installation accessories in combination with the sensor installation method, extract the accessory specification information, and generate the sensor installation accessories;

[0019] Step 22: Generate data based on the support structure and combine it with the support installation position information to determine the coordinates of the accessory installation position (xz, yz, zz); use the coordinates of the accessory installation position as a reference point and combine it with the installation surface to capture mutually perpendicular XZ, YZ, and ZZ images; use the SIFT algorithm to extract feature points of the accessory installation position and match the coordinates, calculate the accessory generation data, and generate the support installation accessory.

[0020] Furthermore, step 3 includes:

[0021] Step 31: According to the support structure optimization data, calculate and determine the final position data (xix, yiy, ziz) of each feature point of the sensor assembly;

[0022] Step 32: construct a coordinate change matrix by combining the sensor digital model current position feature point coordinates (xix0, yiy0, ziz0) of the support construction data set;

[0023] Step 33: Solve the coordinate change matrix and calculate the adjustment amount (αx, αy, αz, △x, △y, △z), where (△x, △y, △z) is the translation amount and (αx, αy, αz) is the rotation amount around the x, y, and z axes;

[0024] Step 34: Through the secondary development tool of the 3D construction software, the sensor is intelligently moved according to the adjustment amount, the sensor assembly and the support assembly are completed, and the sensor assembly digital model is generated.

[0025] Further, step 4 includes:

[0026] Step 41: Extract the optimized data of the support structure, reverse-calculate the final dimension data (Ai) of the support design, call the two-dimensional drawing of the support to generate an SCR script file, and replace the basic dimension data (Ai0) of the support generation in the SCR script file;

[0027] Step 42: Extract the production process instructions of the support, and write the production process instructions into the SCR script file in a loop in the form of FOR (IF-THEN);

[0028] Step 43: After the FOR loop of the process instructions is completed, run the CSR script to generate a two-dimensional drawing.

[0029] Further, step 42 includes:

[0030] FOR (i = 0; i < n; i++) realizes the sequential output of n process instructions;

[0031] Condition 1: IF there is "process category" = surface roughness, THEN write the "process instruction" at the W1 position in the CSR script

[0032] Condition 2: IF there is "process category" = heat treatment, THEN write the "process instruction" at the W2 position in the CSR script

[0033] Condition 3: IF there is "process category" = surface treatment, THEN write the "process instruction" at the W3 position in the CSR script

[0034] Condition 4: IF there is "process category" = technical requirement, THEN write "n. process instruction" at the W4 position in the CSR script, n = n + 1;

[0035] Among them, the FOR loop realizes the sequential writing of all process conditions. The IF part is the premise of the program writing, and the THEN part is the writing result that meets the premise; according to the identification result of the process type, it is matched one by one with the condition IF. If the IF condition is met, the THEN part is executed. If not, the original output is maintained; the condition comes from the process instruction type.

[0036] Further, step 5 includes:

[0037] Step 51: Extract the generation elements of the technical document and replace the template information of the technical document;

[0038] Step 52: Based on the support construction reference plane, with the installation point as the center, move (α1, α2, α3, d) to obtain the cross section; look at the cross section and intercept a picture of size a*b; use the VGG model to identify the intercepted picture. If the identification result meets the requirements of the technical document screenshot, save the file; if it does not meet the requirements, adjust α1, α2, and α3 in sequence to re-identify until it meets the requirements of the technical document screenshot, where α1 is the deflection angle around the x-axis, α2 is the deflection angle around the y-axis, and α3 is the deflection angle around the z-axis; during the adjustment process, the deflection angle value increases by 10° each time. When the deflection angle in one direction changes, the deflection angles in the other two directions remain unchanged, and are adjusted in the order of α1, α2, and α3; if the α1 deflection angle value increases by 360° and still cannot meet the requirements, α2 is increased by 10°, and α1 is re-circulated, in sequence until the screenshot meets the requirements; use the AppendPicture command to insert the picture into the specified position;

[0039] Step 53: Save the technology file template as a technology file.

[0040] Furthermore, step 14 includes:

[0041] Step 141: Based on the support construction reference plane, intercept and obtain n cross sections at intervals of l; with the installation point as the center, look straight at the cross section and intercept the m*n-sized pictures as X1-Xn surfaces; similarly, with the installation point as the center, combined with the support generation parameters, intercept the mutually perpendicular surfaces Y1-Yw surfaces and Z1-Zk surfaces;

[0042] Step 142: Use the VGG model to identify the X1-Xn surface, the Y1-Yw surface, and the Z1-Zk surface in turn, and determine whether the image is an interference image or a non-interference image; if they are all non-interference images, the support generation is completed; if they are identified as interference images, the images are marked and saved as interference set images; according to the Xz section information of the interference set image, the relative coordinates Xzi (xi, yi) of the support feature points are calculated; the SIFT algorithm is used to extract the support feature points and match the coordinates, and further match the interference feature point coordinates relative to Xzw (xw, yw); and an interference data set is further generated;

[0043] Step 143: Combine the interference data set and the support size limit, generate support structure optimization data through genetic algorithm, and reconstruct the support; repeat the interference check until the interference-free image is checked; generate the three-dimensional digital model of the installed support.

[0044] In summary, the present invention proposes a method for constructing the entire process of sensor installation technology based on regional state recognition, including generation of installation supports, generation of installation accessories, generation of assembly digital models, generation of engineering drawings, and generation of technical documents. Generation of installation supports includes support construction data collection, construction of support structural reference planes, generation of support digital models, interference inspection, and support structure optimization; generation of installation accessories includes support and installation data extraction, and generation of accessories digital models; intelligent assembly includes extraction of accessories and support feature data, sensor calling, adjustment amount calculation, and intelligent movement; engineering drawing generation includes extraction of sensor support generation instructions, identification of annotation information and annotation positions, extraction of technical requirements, and generation of engineering drawings; technical document generation includes calling of technical document templates, extraction of assembly part information, and generation of technical documents. The present invention realizes the construction of the entire process of sensor installation technology by investigating database information, which effectively reduces the workload of designers and simplifies the design process. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flowchart of a method for constructing a full-process sensor installation process based on regional state recognition provided by the present invention. DETAILED DESCRIPTION

[0046] like Figure 1 As shown, the present invention provides a method for constructing a full process of a sensor installation process based on regional state recognition, the method comprising:

[0047] Step 1: Collect sensor information and generate a three-dimensional digital model of the mounting bracket;

[0048] Specifically, step 1 includes:

[0049] Step 11: Use the InStr command to find the sensor support construction element library information and locate the element information; use the Range command to obtain the support construction elements and determine the support construction data set.

[0050] Among them, the construction elements of the sensor support include sensor characteristics and sensor mounting support construction requirements. Sensor characteristics include sensor dimensions, sensor mounting method, sensor mounting hole position and dimensions; sensor mounting support construction requirements include sensor support name, sensor support type, sensor support mounting surface data, sensor support mounting position data, sensor installation requirements, and sensor support design basic dimensions.

[0051] Step 12: Combine the support to construct a data set, construct the data point coordinates through the AddNewPointCoord command, and reconstruct the installation surface through the AddNewPlane command; combine the sensor installation requirements and the sensor support installation position coordinates, determine the reference surface and offset / rotation, and construct the support construction reference surface through the AddNewPlaneOffset command.

[0052] Among them, the support reference surface construction process is combined with IF (ELSE) condition judgment:

[0053] IF "Sensor installation requirements" = "X plane"

[0054] "Base plane" = "Base plane X"

[0055] ELSE IF ......

[0057] END IF

[0058] IF "rotation amount a" = 0;

[0059] "Process surface" = AddNewPlaneOffsetAddNewPlaneAngle ("Process surface", "Rotation axis", "Rotation amount a", False)

[0060] ELSE

[0061] "Process surface" = "reference surface"

[0062] "Support construction reference plane" = AddNewPlaneOffset ("reference plane", "offset b", False).

[0063] Step 13: Extract the basic dimension data of the sensor support design, generate the support drawing parameters in combination with the support construction reference surface and the installation position coordinates, and generate a three-dimensional digital model of the installation support in combination with the software secondary development function.

[0064] Step 14: Use a deep learning algorithm to perform interference check on the three-dimensional digital model of the mounting support, further optimize the support structure, and obtain an optimized three-dimensional digital model of the mounting support.

[0065] Specifically, step 14 includes:

[0066] Step 141: Based on the support construction reference plane, obtain n sections at intervals of l; with the installation point as the center, look directly at the section and intercept the X1~Xn surface with a size of m*n; similarly, with the installation point as the center, combined with the support generation parameters, intercept the mutually perpendicular surfaces Y1~Yw surface and Z1~Zk surface.

[0067] Step 142: Use the VGG model to identify the X1~Xn surface, Y1~Yw surface, and Z1~Zk surface in turn, and determine whether the image is an interference image / non-interference image; if they are all non-interference images, the support generation is completed; if they are identified as interference images, the image is marked and saved as an interference set image; based on the Xz section information of the interference set image, the relative coordinates Xzi (xi, yi) of the support feature points are calculated; use the SIFT algorithm to extract the support feature points and match the coordinates, and further match the interference feature point coordinates relative to Xzw (xw, yw); further generate an interference data set.

[0068] Step 143: Combine the interference data set and the support size limit, generate support structure optimization data through genetic algorithm, and reconstruct the support; repeat the interference check until the interference-free image is checked; generate the three-dimensional digital model of the installed support.

[0069] Step 2: Generate sensor mounting accessories and support mounting accessories by combining sensor information and support structure optimization data of the three-dimensional digital model of the mounting support;

[0070] Specifically, step 2 includes:

[0071] Step 21: Identify the support structure optimization data, determine the thickness of the sensor installation surface, determine the specifications of the sensor installation accessories based on the sensor installation method, extract the accessory specification information, and generate the sensor installation accessories.

[0072] Step 22: Generate data based on the support structure and combine it with the support installation position information to determine the coordinates of the accessory installation position (xz, yz, zz); use the coordinates of the accessory installation position as a reference point and combine it with the installation surface to capture mutually perpendicular XZ, YZ, and ZZ images; use the SIFT algorithm to extract feature points of the accessory installation position and match the coordinates, calculate the accessory generation data, and generate the support installation accessory.

[0073] Step 3: Generate a sensor assembly digital model by combining the mounting bracket 3D digital model, bracket construction data set, sensor mounting accessories, and bracket mounting accessories.

[0074] Specifically, step 3 includes:

[0075] Step 31: According to the support structure optimization data, calculate and determine the final position data (xix, yiy, ziz) of each feature point of the sensor assembly;

[0076] Step 32: construct a coordinate change matrix by combining the coordinates (xix0, yiy0, ziz0) of the characteristic points of the current position of the sensor digital model of the support construction data set;

[0077] Step 33: Solve the coordinate transformation matrix and calculate the adjustment amounts (αx, αy, αz, △x, △y, △z), where (△x, △y, △z) are translation amounts and (αx, αy, αz) are rotation amounts about the x, y, and z axes;

[0078] Step 34: Use the secondary development tool of the 3D modeling software to intelligently move the sensor according to the adjustment amounts, complete the assembly of the sensor and the mounting bracket, and generate the digital model of the sensor assembly.

[0079] Among them, the secondary development tool includes the secondary development function CAA of CATIA, the application programming interface API, and the software development kit SDK.

[0080] Step 4: Combine the digital model of the sensor assembly, the optimized data of the support structure, and the production process instructions of the support to generate engineering drawings.

[0081] Specifically, Step 4 includes:

[0082] Step 41: Extract the optimized data of the support structure, reverse-calculate the final dimension data (Ai) of the support design, call the 2D drawing of the support to generate an SCR script file, and replace the basic dimension data (Ai0) of the support generation in the SCR script file;

[0083] It should be noted that when replacing the basic dimension data (Ai0) of the support generation, use a FOR loop to completely replace A10 to An0 and then perform the operation of generating 2D drawings.

[0084] Step 42: Extract the production process instructions of the support and write the production process instructions into the SCR script file in a FOR (IF-THEN) form in a loop.

[0085] Specifically, Step 42 includes:

[0086] FOR(i = 0; i < n; i++) realizes the sequential output of n process instructions;

[0087] Condition 1: IF there exists "process category" = surface roughness, THEN write "process instruction" at the W1 position in the CSR script

[0088] Condition 2: IF there exists "process category" = heat treatment, THEN write "process instruction" at the W2 position in the CSR script

[0089] Condition 3: IF there exists "process category" = surface treatment, THEN write "process instruction" at the W3 position in the CSR script

[0090] Condition 4: IF there exists "process category" = technical requirements, THEN write "n. process instruction" at the W4 position in the CSR script, n = n + 1;

[0091] Step 43: After the process instruction FOR cycle is completed, run the CSR script to generate a two-dimensional drawing.

[0092] Among them, the FOR loop realizes the writing of all process conditions in sequence. The IF part is the premise of program writing, and the THEN part is the writing result of satisfying the premise. According to the identification result of the process type, it matches the condition IF one by one. If the IF condition is met, the THEN part is executed. If not, the original output is maintained. The condition comes from the process instruction type.

[0093] Step 5: Call the technical document template, combine the sensor assembly digital model, support structure optimization data, sensor installation accessories and support installation accessories to generate the technical document.

[0094] Specifically, step 5 includes:

[0095] Step 51: Extract technical document generation elements and replace technical document template information.

[0096] Among them, the technical document generation elements include sensor name, sensor support name, sensor installation position, fastener name, etc. These elements have been assigned values ​​when the support was generated in the early stage ("sensor name" = WA, "sensor support name" = WB...).

[0097] When replacing the template, open the technical template through the actxGetRunningServer command; connect the bookmarks to the program through the Bookmarks and Selectioon commands; and then modify each bookmark through the FOR loop.

[0098] Step 52: Based on the support construction reference plane, with the installation point as the center, move (α1, α2, α3, d) to obtain the cross section; look directly at the cross section and capture a picture of size a*b; use the VGG model to recognize the captured picture, and if the recognition result meets the requirements of the technical document screenshot, save the file; if it does not meet the requirements, adjust α1, α2, and α3 in turn to re-recognize until it meets the requirements of the technical document screenshot.

[0099] Among them, α1 is the deflection angle around the x-axis, α2 is the deflection angle around the y-axis, and α3 is the deflection angle around the z-axis; during the adjustment process, the deflection angle value increases by 10° each time. When the deflection angle in one direction changes, the deflection angles in the other two directions remain unchanged, and are adjusted in the order of α1, α2, and α3. If the deflection angle value of α1 increases by 360° and still cannot meet the requirements, α2 increases by 10°, and α1 is cycled again, in sequence, until the screenshot meets the requirements. Use the AppendPicture command to insert the image into the specified position.

[0100] Step 53: Save the technology file template as a technology file.

[0101] Create a new document using the XWPFDocumen command, write the original document content into the new document using the FileOutputStream command, save the document using the save command, and generate a technical file.

[0102] To summarize, the present invention provides a method for constructing the entire process of sensor installation process based on regional state recognition. In order to reduce the workload of designers in sensor installation design and simplify the design process, a method for constructing the entire process of sensor installation process based on regional state recognition is proposed, which provides a technically feasible, economical and practical solution for the construction of the entire process of sensor installation process.

Claims

1. A method for constructing the entire process of sensor installation process based on regional state recognition, characterized in that: The method comprises the following steps: Step 1: Collect sensor information and generate a three-dimensional digital model of the mounting bracket; Step 2: Generate sensor mounting accessories and support mounting accessories by combining sensor information and support structure optimization data of the three-dimensional digital model of the mounting support; Step 3: Generate a sensor assembly digital model by combining the mounting support three-dimensional digital model, the support construction data set, the sensor mounting accessories, and the support mounting accessories; Step 4: Generate engineering drawings by combining the sensor assembly digital model, support structure optimization data and support production process instructions; Step 5: Call the technical document template, combine the sensor assembly digital model, support structure optimization data, sensor mounting accessories and support mounting accessories to generate the technical document.

2. The method according to claim 1, characterized in that Step 1 includes: Step 11: Use the InStr command to find the sensor support construction element library information and locate the element information location; use the Range command to obtain the support construction elements and determine the support construction data set; Step 12: Combine the support to construct the data set, construct the data point coordinates through the AddNewPointCoord command, and reconstruct the installation surface through the AddNewPlane command; Combine the sensor installation requirements and the sensor support installation position coordinates, determine the reference surface and offset / rotation, and construct the support construction reference surface through the AddNewPlaneOffset command; Step 13: extract the basic dimension data of the sensor support design, generate the support drawing parameters in combination with the support construction reference surface and the installation position coordinates, and generate the three-dimensional digital model of the installation support in combination with the secondary development function of the software; Step 14: Use a deep learning algorithm to perform interference check on the three-dimensional digital model of the mounting support, further optimize the support structure, and obtain an optimized three-dimensional digital model of the mounting support.

3. The method according to claim 1, characterized in that Step 2 includes: Step 21: Identify the support structure optimization data, determine the thickness of the sensor installation surface, determine the specifications of the sensor installation accessories in combination with the sensor installation method, extract the accessory specification information, and generate the sensor installation accessories; Step 22: Generate data based on the support structure and combine it with the support installation position information to determine the coordinates of the accessory installation position (xz, yz, zz); use the coordinates of the accessory installation position as a reference point and combine it with the installation surface to capture mutually perpendicular XZ, YZ, and ZZ images; use the SIFT algorithm to extract feature points of the accessory installation position and match the coordinates, calculate the accessory generation data, and generate the support installation accessory.

4. The method according to claim 1, characterized in that: Step 3 includes: Step 31: According to the support structure optimization data, calculate and determine the final position data (xix, yiy, ziz) of each feature point of the sensor assembly; Step 32: construct a coordinate change matrix by combining the sensor digital model current position feature point coordinates (xix0, yiy0, ziz0) of the support construction data set; Step 33: Solve the coordinate change matrix and calculate the adjustment amount (αx, αy, αz, △x, △y, △z), where (△x, △y, △z) is the translation amount and (αx, αy, αz) is the rotation amount around the x, y, and z axes; Step 34: Using the secondary development tool of the 3D construction software, intelligently move the sensor according to the adjustment amount, complete the assembly of the sensor and the mounting support, and generate the digital model of the sensor assembly.

5. The method according to claim 1, characterized in that Step 4 includes: Step 41: Extract the optimized data of the support structure, reverse-calculate the final dimension data (Ai) of the support design, call the 2D drawing of the support to generate an SCR script file, and replace the basic dimension data (Ai0) of the support in the SCR script file; Step 42: Extract the production process instructions of the support, and loop-write the production process instructions in the SCR script file in the form of FOR (IF-THEN); Step 43: After the FOR loop of the process instructions is completed, run the CSR script to generate a 2D drawing.

6. The method according to claim 5, characterized in that Step 42 includes: FOR (i = 0; i < n; i++) realizes the sequential output of n process instructions; Condition 1: IF there exists "process category" = surface roughness, THEN write "process instruction" at the W1 position in the CSR script Condition 2: IF there exists "process category" = heat treatment, THEN write "process instruction" at the W2 position in the CSR script Condition 3: IF there exists "process category" = surface treatment, THEN write "process instruction" at the W3 position in the CSR script Condition 4: IF there exists "process category" = technical requirement, THEN write "n. process instruction" at the W4 position in the CSR script, n = n + 1; Among them, the FOR loop realizes the sequential writing of all process conditions. The IF part is the premise for program writing, and the THEN part is the writing result that meets the premise; according to the identification result of the process type, it is matched one by one with the condition IF. If the IF condition is met, the THEN part is executed. If not, the original output is maintained; the conditions are derived from the process instruction type.

7. The method according to claim 1, characterized in that Step 5 includes: Step 51: Extract the generation elements of the technical document and replace the template information of the technical document; Step 52: Based on the construction reference plane of the support, with the installation point as the center, move (α1, α2, α3, d) to obtain a cross-section; view the cross-section frontally and intercept a picture with a size of a*b; use the VGG model to identify the intercepted picture. If the identification result meets the requirements of the technical document screenshot, save the file; if it does not meet the requirements, adjust α1, α2, α3 in sequence and re-identify until it meets the requirements of the technical document screenshot. Among them, α1 is the deflection angle around the x-axis, α2 is the deflection angle around the y-axis, and α3 is the deflection angle around the z-axis; during the adjustment process, the value of each deflection angle increases by 10°. When one direction of the deflection angle changes, the other two directions of the deflection angle remain unchanged, and the adjustment is carried out in the order of α1, α2, α3; if the value of the α1 deflection angle increases by 360° and still cannot meet the requirements, α2 increases by 10°, and α1 loops again until the screenshot meets the requirements; use the AppendPicture command to insert the picture into the specified position; Step 53: Save the technical document template as a technical document.

8. The method according to claim 2, characterized in that: Step 14 includes: Step 141: Based on the support construction reference plane, intercept and obtain n cross sections at intervals of l; with the installation point as the center, look straight at the cross section and intercept the m*n-sized pictures as X1-Xn surfaces; similarly, with the installation point as the center, combined with the support generation parameters, intercept the mutually perpendicular surfaces Y1-Yw surfaces and Z1-Zk surfaces; Step 142: Use the VGG model to identify the X1-Xn surface, the Y1-Yw surface, and the Z1-Zk surface in turn, and determine whether the image is an interference image or a non-interference image; if they are all non-interference images, the support generation is completed; if they are identified as interference images, the images are marked and saved as interference set images; according to the Xz section information of the interference set image, the relative coordinates Xzi (xi, yi) of the support feature points are calculated; the SIFT algorithm is used to extract the support feature points and match the coordinates, and further match the interference feature point coordinates relative to Xzw (xw, yw); and an interference data set is further generated; Step 143: Combine the interference data set and the support size limit, generate support structure optimization data through genetic algorithm, and reconstruct the support; repeat the interference check until the interference-free image is checked; generate the three-dimensional digital model of the installed support.

Images