Engine disassembling equipment based on three-dimensional scanning and modeling

Abstract

The invention discloses engine disassembling equipment based on three-dimensional scanning and modeling, and relates to the related field of data processing, which comprises the following steps: determining scanning equipment and scanning distance, collecting scanning data of an engine, and determining scanning feature distribution. And feature quantification and scanning data splicing are carried out based on the scanning feature distribution, and engine scanning data are determined. And performing three-dimensional modeling based on the engine scanning data to determine a three-dimensional model of the engine. And according to the engine three-dimensional model, hierarchical weighting calculation is carried out, an engine structure is analyzed, a quality evaluation coefficient is determined, and an engine disassembling sequence is obtained. And according to a disassembling tool, in combination with the engine disassembling sequence, disassembling simulation is conducted through the engine three-dimensional model, a disassembling scheme is generated, and engine disassembling based on the disassembling scheme is executed. The technical problems that in the prior art, an engine disassembling scheme is low in disassembling efficiency, poor in precision and high in cost are solved.

Description

Technical Field

[0001] The present application relates to data processing related fields, and in particular to engine disassembly equipment based on three-dimensional scanning and modeling. Background Art

[0002] In modern industry, engine maintenance and disassembly is a complex and important task. Traditional engine disassembly solutions usually rely on manual operation experience. The disassembly process requires a lot of time and human resources, which cannot meet the needs of rapid repair or replacement. Disassembly solutions have problems such as low efficiency, poor precision, and high disassembly costs, which are difficult to meet the needs of modern industry for efficient and accurate disassembly.

[0003] Therefore, the engine disassembly scheme in the prior art has technical problems of low efficiency, poor precision and high disassembly cost. Summary of the invention

[0004] This application solves the technical problems of low efficiency, poor precision and high disassembly cost in the prior art engine disassembly scheme by providing an engine disassembly equipment based on three-dimensional scanning and modeling. The engine disassembly sequence is analyzed and obtained through three-dimensional scanning and modeling technology, and a disassembly scheme is automatically generated based on the disassembly sequence, thus achieving efficient engine disassembly, improving disassembly precision and reducing disassembly cost.

[0005] The present application provides an engine disassembly device based on three-dimensional scanning and modeling, including: a scanning feature distribution determination module, which is used to determine the scanning device and the scanning distance, collect the scanning data of the engine, and determine the scanning feature distribution. An engine scanning data determination module, which is used to perform feature quantification and scanning data splicing based on the scanning feature distribution to determine the engine scanning data. An engine three-dimensional model determination module, which is used to perform three-dimensional modeling based on the engine scanning data to determine the engine three-dimensional model. An engine disassembly sequence acquisition module, which is used to perform hierarchical weighted calculation based on the engine three-dimensional model, analyze the engine structure, determine the quality assessment coefficient, and obtain the engine disassembly sequence. A disassembly plan generation module, which is used to perform disassembly simulation through the engine three-dimensional model according to the disassembly tool and the engine disassembly sequence, generate a disassembly plan, and execute engine disassembly based on the disassembly plan.

[0006] In a possible implementation, the scanning feature distribution determination module is also used to: determine a scanning matrix of three-dimensional scanning, wherein the scanning matrix has scanning devices as matrix rows and engine types as matrix columns, and there is a one-to-many mapping relationship between the scanning devices and the engine types. Construct a scanning distance classifier and add it to the scanning unit. The scanning distance classifier can perform self-target setting, and the scanning unit includes multiple scanning devices. Combined with the scanning unit, the scanning data of the engine is collected, and the scanning feature analysis and integration of the scanning distance classifier is performed with the scanning matrix as a guide to determine the scanning feature distribution.

[0007] In a possible implementation, the scanning feature distribution determination module is further used to: according to the scanning coverage distance of the adjacent scanning device, take the adjacent scanning device as the minimum distance target. Based on the minimum distance target, the spatial adjacent scanning feature position is located in combination with the scanning distance classifier, and the spatial scanning type distribution is determined in combination. In combination with multiple scanning devices of the scanning unit, the spatial scanning type distribution is added to the scanning feature distribution.

[0008] In a possible implementation, the engine disassembly sequence acquisition module is also used to: determine a standardized engine three-dimensional model based on the engine three-dimensional model, wherein the standardized engine three-dimensional model is a reference to the engine three-dimensional model, wherein the standardized engine three-dimensional model includes vector features. Based on the mapping relationship between the engine three-dimensional model and the vector features, perform a feature weighting and a primary assembly calculation on the engine scanning data to determine an initial engine index coefficient. Traverse the initial engine index coefficient, perform a secondary weighting and a secondary assembly calculation based on the index importance, and determine a first quality assessment coefficient.

[0009] In a possible implementation, the engine disassembly sequence acquisition module is further used to: determine first quality data based on the engine structure; interact with the production steps of the engine, perform production loss assessment, and determine second quality data; fit the first quality data and the second quality data to determine a second quality assessment coefficient; and perform comprehensive calculation on the first quality assessment coefficient and the second quality assessment coefficient to determine the quality assessment coefficient.

[0010] In a possible implementation, the engine disassembly sequence acquisition module is further used to: determine a derived evaluation target and a derived evaluation characteristic, and determine an evaluation decision method in combination with the derived evaluation characteristic, wherein the derived evaluation target includes at least one item. Based on the derived evaluation target, traverse the engine scanning data to extract derived associated features. Traverse the derived associated features, combine the derived evaluation characteristics, evaluate and determine a derived evaluation coefficient, and add it to the quality evaluation coefficient.

[0011] In a possible implementation, the engine disassembly sequence acquisition module is further used to: traverse the quality assessment coefficients to determine the quality defects of the engine, match the engine disassembly sequence according to the quality defects, and acquire the engine disassembly sequence, wherein the engine disassembly sequence includes the disassembly sequence of the finished engine.

[0012] In a possible implementation, the engine disassembly sequence acquisition module is further used to: trace the quality defects, locate the production nodes and optimize the production decisions in combination with the production steps of the engine, determine the optimization strategy, and reversely optimize the production of the engine based on the optimization strategy.

[0013] One or more technical solutions provided in this application have at least the following technical effects or advantages: The engine disassembly equipment based on three-dimensional scanning and modeling provided by the present application includes: a scanning feature distribution determination module, which is used to determine the scanning device and the scanning distance, collect the scanning data of the engine, and determine the scanning feature distribution. An engine scanning data determination module is used to perform feature quantification and scan data splicing based on the scanning feature distribution to determine the engine scanning data. An engine three-dimensional model determination module is used to perform three-dimensional modeling based on the engine scanning data to determine the engine three-dimensional model. An engine disassembly sequence acquisition module is used to perform hierarchical weighted calculation based on the engine three-dimensional model, analyze the engine structure, determine the quality assessment coefficient, and obtain the engine disassembly sequence. A disassembly scheme generation module is used to perform disassembly simulation through the engine three-dimensional model according to the disassembly tool, combined with the engine disassembly sequence, generate a disassembly scheme, and execute the engine disassembly based on the disassembly scheme. The technical problems of low efficiency, poor accuracy, and high disassembly cost in the engine disassembly scheme in the prior art are solved. The engine disassembly sequence is analyzed and acquired through three-dimensional scanning and modeling technology, and a disassembly scheme is automatically generated based on the disassembly sequence, so as to achieve the technical effect of efficient engine disassembly, improve disassembly accuracy, and reduce disassembly cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, various steps may be processed in reverse order or simultaneously as required. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0015] Figure 1 A schematic diagram of the structure of an engine disassembly device based on three-dimensional scanning and modeling provided in an embodiment of the present application; Figure 2 A schematic diagram of a flow chart of determining a scanning feature distribution by a scanning feature distribution determination module in an engine disassembly device based on three-dimensional scanning and modeling in the present application.

[0016] Explanation of reference numerals: scanning feature distribution determining module 11 , engine scanning data determining module 12 , engine three-dimensional model determining module 13 , engine disassembly sequence acquiring module 14 , disassembly plan generating module 15 . DETAILED DESCRIPTION

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0018] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0019] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, devices, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0020] The present application embodiment provides an engine disassembly device based on three-dimensional scanning and modeling, such as Figure 1 As shown, the device includes: The scanning feature distribution determination module 11 is used to determine the scanning device and the scanning distance, collect the scanning data of the engine, and determine the scanning feature distribution.

[0021] The engine scanning data determination module 12 is used to perform feature quantification and scanning data splicing based on the scanning feature distribution to determine the engine scanning data.

[0022] The engine three-dimensional model determination module 13 is used to perform three-dimensional modeling based on the engine scanning data to determine the engine three-dimensional model.

[0023] The engine disassembly equipment based on three-dimensional scanning and modeling includes: a scanning feature distribution determination module 11, which is used to determine the scanning device and the scanning distance, wherein the scanning device is a three-dimensional scanner, which is a device for capturing three-dimensional data of the surface of an object, and generates high-precision three-dimensional point cloud data by measuring the spatial coordinates of each point on the surface of the object. The three-dimensional point cloud data contains the three-dimensional coordinate information of the surface points of the object, which is usually stored in the form of point clouds. These point cloud data can be used for a variety of applications such as three-dimensional modeling, reverse engineering, quality control, measurement and analysis. The specific category can be various types of three-dimensional scanning equipment such as laser scanners. The scanning distance is the distance between the scanning device and the engine. The scanning data of the engine is collected by the scanning device to determine the scanning feature distribution, which is the engine scanning data collected by each collection device. Subsequently, the scanning feature distribution is quantified and the scanning data is spliced ​​by the engine scanning data determination module 12, specifically, the scanning feature distribution is pre-processed by denoising, filtering and downsampling, and feature points are extracted from the pre-processed point cloud data, and key feature points are extracted from the point cloud data using feature extraction algorithms (such as SIFT, ORB, etc.). Match the feature points and find the corresponding feature points in the acquisition results of each device. Align and splice the matched feature points to generate a complete three-dimensional point cloud model and determine the engine scanning data. Further, the engine three-dimensional model determination module 13 performs three-dimensional modeling based on the engine scanning data to determine the engine three-dimensional model.

[0024] Further, such as Figure 2 As shown, the scanning feature distribution determination module 11 is also used to: determine the scanning matrix of the three-dimensional scanning, wherein the scanning matrix has scanning devices as matrix rows and engine types as matrix columns, and there is a one-to-many mapping relationship between the scanning devices and the engine types. Construct a scanning distance classifier and add it to the scanning unit. The scanning distance classifier can perform self-target setting, and the scanning unit includes multiple scanning devices. Combined with the scanning unit, the scanning data of the engine is collected, and the scanning feature analysis and integration of the scanning distance classifier is performed with the scanning matrix as a guide to determine the scanning feature distribution.

[0025] Specifically, the determination of the scanning feature distribution includes: determining a scanning matrix for three-dimensional scanning, recording the mapping relationship between different engine categories and scanning device layouts in the scanning matrix, wherein the scanning matrix is ​​a matrix row with scanning devices and a matrix column with engine types, and there is a one-to-many mapping relationship between the scanning devices and the engine types. Constructing a scanning distance classifier, wherein the scanning distance classifier is constructed based on historical acquisition record data, and extracting the position layout relationship between the engine category and the corresponding scanning device under the minimum distance target condition through the historical acquisition record data. Constructing a scanning distance classifier based on the distance layout relationship between all engine categories and corresponding scanning devices, the scanning distance classifier is used to match the acquisition distribution position of the corresponding acquisition device according to the engine category. Adding the constructed scanning distance classifier to the scanning unit, the scanning distance classifier can automatically set the engine target and the corresponding scanning device layout position, wherein the layout position includes the distance from the engine when performing the scan and the specific distribution position of the device, and the scanning unit includes multiple scanning devices. In combination with the scanning unit, the scanning data of the engine is collected, and the scanning feature analysis and integration of the scanning distance classifier is performed with the scanning matrix as a guide to determine the scanning feature distribution, which is the engine scanning data collected by each scanning device at the corresponding collection position.

[0026] Furthermore, the scanning feature distribution determination module 11 is also used for: according to the scanning coverage distance of the adjacent scanning device, taking the adjacent scanning device as the minimum distance target. Based on the minimum distance target, the spatial adjacent scanning feature position is located in combination with the scanning distance classifier, and the spatial scanning type distribution is determined in combination. In combination with the multiple scanning devices of the scanning unit, the spatial scanning type distribution is added to the scanning feature distribution. The scanning coverage distance of the adjacent scanning device is collected, and the scanning coverage distance of the adjacent scanning device is the scanning coverage distance for scanning engine data. According to the scanning coverage distance of the adjacent scanning device, the adjacent scanning device is taken as the minimum distance target, and the minimum distance target is the minimum coverage distance of the engine with the best scanning effect when the scanning device is deployed. Based on the minimum distance target, the spatial adjacent scanning feature position is located in combination with the scanning distance classifier, and the distribution position of each scanning device is determined. According to the distribution position combination, the spatial scanning type distribution, that is, the distribution position of each device, is determined. Finally, in combination with the multiple scanning devices of the scanning unit, the spatial scanning type distribution is added to the scanning feature distribution.

[0027] The engine disassembly sequence acquisition module 14 is used to perform hierarchical weighted calculation according to the three-dimensional engine model, analyze the engine structure, determine the quality assessment coefficient, and acquire the engine disassembly sequence.

[0028] The disassembly scheme generating module 15 is used to perform disassembly simulation through the engine three-dimensional model according to the disassembly tool and the engine disassembly sequence, generate a disassembly scheme, and execute engine disassembly based on the disassembly scheme.

[0029] Through the engine disassembly sequence acquisition module 14, hierarchical weighted calculation is performed according to the three-dimensional model of the engine, the engine structure is analyzed, and the quality assessment coefficient is determined. Based on the quality assessment coefficient, the engine disassembly sequence is obtained. Finally, based on the obtained engine disassembly sequence, through the disassembly scheme generation module 15, according to the disassembly tool, the disassembly tool is acquired based on the database of the disassembly tool, and the database of the disassembly tool contains information such as the function, size and applicable scene of all tools contained in the disassembly execution device. The disassembly execution device is composed of multiple mechanical arms. In combination with the engine disassembly sequence, the disassembly simulation is performed based on the disassembly tool through the three-dimensional model of the engine. The disassembly simulation can be simulated by three-dimensional modeling software, such as CAD, solidworks, etc., so as to complete the disassembly simulation based on the disassembly sequence, and the disassembly coordinates of the modeling software are matched with the coordinates of the disassembly execution device based on the disassembly simulation results, and a disassembly scheme is generated, and the engine disassembly based on the disassembly scheme is executed. The technical problems of low efficiency, poor precision and high disassembly cost of the engine disassembly scheme in the prior art are solved. The engine disassembly sequence is analyzed and acquired through 3D scanning and modeling technology, and a disassembly plan is automatically generated based on the disassembly sequence, thus achieving efficient engine disassembly, improving disassembly accuracy, and reducing disassembly costs.

[0030] Furthermore, the engine disassembly sequence acquisition module 14 is also used to: determine a standardized engine three-dimensional model based on the engine three-dimensional model, wherein the standardized engine three-dimensional model is a reference to the engine three-dimensional model, wherein the standardized engine three-dimensional model includes vector features. Based on the mapping relationship between the engine three-dimensional model and the vector features, perform a feature weighting and a primary assembly calculation on the engine scanning data to determine an initial engine index coefficient. Traverse the initial engine index coefficient, perform a secondary weighting and a secondary assembly calculation based on the index importance, and determine a first quality assessment coefficient.

[0031] According to the scanned engine 3D model, the 3D model is aligned and scaled with a preset standard engine model. The 3D model and the standard engine model are scaled in equal proportions, and the side view of the 3D model is aligned with the side view of the standard engine model to obtain a side view of the scaled 3D model. Figure 1A standardized three-dimensional engine model is determined. A standardized three-dimensional engine model refers to a three-dimensional model with a unified reference standard, which is used as a benchmark for subsequent feature weighting and calculation. The standardized model includes vector features such as the importance, size and position of specific components. Based on the mapping relationship between the three-dimensional engine model and the vector features, the point cloud features in the scanned data are mapped to the vector features of the standardized model to determine the corresponding position and attributes of each point cloud feature in the standardized model. Each vector feature includes an initially set index parameter, which is a predetermined parameter set by the staff to reflect the importance of each part. The engine scan data is weighted and calculated once, that is, each feature is assigned a certain weight according to the importance ratio of the feature. For example, the key components of the engine (such as cylinder block and piston) have a higher weight, while the secondary components (such as bolts and gaskets) have a lower weight. The weighted features are weighted and summed to complete the assembly calculation of the index coefficient of each vector feature to determine the initial engine index coefficient. Further, the initial engine index coefficients are traversed, and secondary weighting and secondary assembly calculation are performed based on the index importance to determine the first quality assessment coefficient.

[0032] Furthermore, the engine disassembly sequence acquisition module 14 is further used to: determine first quality data based on the engine structure; interact with the production steps of the engine, perform production loss assessment, and determine second quality data; fit the first quality data and the second quality data to determine a second quality assessment coefficient; and perform comprehensive calculation on the first quality assessment coefficient and the second quality assessment coefficient to determine the quality assessment coefficient.

[0033] The determination of the quality assessment coefficient includes: determining the first quality data based on the engine structure, the first quality data is the recorded initial quality standard parameter of the part, the longer the design life of the part, the higher the corresponding initial quality standard parameter value, such as the initial quality standard parameter value corresponding to the design service life of the cylinder is 20 years is 200, and the initial quality standard parameter value corresponding to the design life of the transmission belt is 5 years is 50. Subsequently, the production steps of the engine are interactively determined, the production loss in the engine production steps is determined, the production loss evaluation is performed, and the production loss ratio is obtained, so as to determine the second quality data, and the second quality data is 1 minus the production loss ratio. Fit the first quality data and the second quality data to multiply the two and determine the second quality assessment coefficient. The first quality assessment coefficient and the second quality assessment coefficient are comprehensively calculated, wherein the comprehensive calculation can be calculated by weighted summation, and the specific weight setting can be set based on the preferences of professional and technical personnel to determine the quality assessment coefficient.

[0034] Furthermore, the engine disassembly sequence acquisition module 14 is also used to: determine a derived evaluation target and a derived evaluation characteristic, and determine an evaluation decision method in combination with the derived evaluation characteristic, wherein the derived evaluation target includes at least one item.

[0035] Based on the derived evaluation target, the engine scan data is traversed to extract derived correlation features.

[0036] The derived associated features are traversed, and the derived evaluation coefficients are evaluated and determined in combination with the derived evaluation characteristics, and added to the quality evaluation coefficients.

[0037] The determination of the quality assessment coefficient also includes: determining a derived assessment target and determining a derived assessment characteristic, wherein the derived assessment target determines at least one derived assessment target based on the specific usage scenario and performance requirements of the engine. For example, durability, fatigue resistance, thermal stability, etc. The corresponding assessment characteristics are determined according to the derived assessment target. For example, for durability, the assessment characteristics include the design life of parts, etc. The assessment decision method is determined in combination with the derived assessment characteristics. Taking durability as an example, the corresponding assessment decision method is the design life of each part. Further, based on the derived assessment target, the engine scanning data is traversed to extract derived associated features. The derived associated features are features that are correlated with the derived assessment target. The features can be specific part objects, associated parts, etc. that are correlated with the derived assessment target. The derived associated features are traversed, and in combination with the derived evaluation characteristics, the derived evaluation coefficient is evaluated and determined, that is, according to the parts contained in the derived associated features, the parts are evaluated based on the derived evaluation characteristics. The specific evaluation process can be carried out by comparing the standard values ​​to obtain the difference between the part feature and the standard part feature value. Taking durability as an example, the difference between the design life of the part and the design life of the standard part is obtained during the evaluation to obtain the derived evaluation coefficient, which is added to the quality evaluation coefficient.

[0038] Furthermore, the engine disassembly sequence acquisition module 14 is further used to: traverse the quality assessment coefficients to determine the quality defects of the engine, match the engine disassembly sequence according to the quality defects, and acquire the engine disassembly sequence, wherein the engine disassembly sequence includes the disassembly sequence of the finished engine.

[0039] The obtaining of the engine disassembly sequence includes: traversing the quality assessment coefficients to determine the quality defects of the engine, wherein the quality defects of the engine are parts whose quality assessment coefficients are less than or equal to the corresponding quality defect thresholds of the parts, and the quality defect threshold of the parts is the minimum quality assessment coefficient when quality defects exist. Subsequently, according to the deviation ratio between each quality assessment coefficient and the corresponding quality defect threshold, the engine disassembly sequence is matched based on the deviation ratio sorting result, and the higher the deviation ratio sorting result, the higher the disassembly priority. Based on the sorting result, the engine disassembly sequence is obtained, wherein the engine disassembly sequence includes the disassembly sequence of the finished engine.

[0040] Furthermore, the engine disassembly sequence acquisition module 14 is also used to: trace the quality defects, locate the production nodes and optimize the production decisions in combination with the production steps of the engine, determine the optimization strategy, and reversely optimize the production of the engine based on the optimization strategy.

[0041] Based on the quality defect big data, the quality defects are traced to obtain the specific causes of the quality defects, and the production nodes are located in combination with the production steps of the engine, that is, the production node positions corresponding to the production steps of the engine are determined, and the production decision optimization is completed and the optimization strategy is determined. The production decision optimization is obtained after analysis by professional technicians. Based on the optimization strategy, the production optimization of the engine is reversed.

[0042] The engine disassembly equipment based on three-dimensional scanning and modeling provided in the embodiment of the present application includes: a scanning feature distribution determination module, which is used to determine the scanning device and the scanning distance, collect the scanning data of the engine, and determine the scanning feature distribution. An engine scanning data determination module, which is used to perform feature quantification and scan data splicing based on the scanning feature distribution to determine the engine scanning data. An engine three-dimensional model determination module, which is used to perform three-dimensional modeling based on the engine scanning data to determine the engine three-dimensional model. An engine disassembly sequence acquisition module, which is used to perform hierarchical weighted calculation based on the engine three-dimensional model, analyze the engine structure, determine the quality assessment coefficient, and obtain the engine disassembly sequence. A disassembly scheme generation module, which is used to perform disassembly simulation through the engine three-dimensional model according to the disassembly tool and the engine disassembly sequence, generate a disassembly scheme, and execute the engine disassembly based on the disassembly scheme. The technical problems of low efficiency, poor precision, and high disassembly cost of the engine disassembly scheme in the prior art are solved. The engine disassembly sequence is analyzed and acquired through three-dimensional scanning and modeling technology, and a disassembly scheme is automatically generated based on the disassembly sequence, so as to achieve the technical effect of efficient engine disassembly, improve disassembly precision, and reduce disassembly cost.

[0043] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. Engine disassembly equipment based on 3D scanning and modeling, characterized in that: include: A scanning feature distribution determination module is used to determine the scanning device and the scanning distance, collect the scanning data of the engine, and determine the scanning feature distribution; An engine scanning data determination module, used for performing feature quantification and scanning data splicing based on the scanning feature distribution to determine the engine scanning data; An engine three-dimensional model determination module, used to perform three-dimensional modeling based on the engine scanning data to determine the engine three-dimensional model; An engine disassembly sequence acquisition module is used to perform hierarchical weighted calculation according to the three-dimensional model of the engine, analyze the engine structure, determine the quality assessment coefficient, and obtain the engine disassembly sequence; The disassembly scheme generating module is used to perform disassembly simulation through the three-dimensional model of the engine according to the disassembly tool and the engine disassembly sequence, generate a disassembly scheme, and execute engine disassembly based on the disassembly scheme.

2. The engine disassembly equipment based on three-dimensional scanning and modeling as claimed in claim 1, characterized in that: The determining of the scanning feature distribution comprises: Determine a scanning matrix for three-dimensional scanning, wherein the scanning matrix has scanning devices as matrix rows and engine types as matrix columns, and there is a one-to-many mapping relationship between the scanning devices and the engine types; Constructing a scanning distance classifier and adding it to a scanning unit, wherein the scanning distance classifier can perform self-target setting, and the scanning unit includes a plurality of scanning devices; In combination with the scanning unit, the scanning data of the engine is collected, and the scanning feature analysis and integration is performed on the scanning distance classifier with the scanning matrix as a guide to determine the scanning feature distribution.

3. The engine disassembly equipment based on three-dimensional scanning and modeling as claimed in claim 2, characterized in that: The determining of the scanning feature distribution further includes: According to the scanning coverage distance of the adjacent scanning device, the adjacent scanning device is used as the minimum distance target; Based on the minimum distance target, the spatial proximity scanning feature position is located in combination with the scanning distance classifier, and the spatial scanning type distribution is determined in combination; In combination with a plurality of scanning devices of the scanning unit, the spatial scanning type distribution is added to the scanning feature distribution.

4. The engine disassembly equipment based on three-dimensional scanning and modeling as claimed in claim 1, characterized in that: The hierarchical weighting calculation includes: Determine a standardized engine three-dimensional model according to the engine three-dimensional model, wherein the standardized engine three-dimensional model is a reference of the engine three-dimensional model, wherein the standardized engine three-dimensional model includes vector features; Based on the mapping relationship between the three-dimensional model of the engine and the vector features, a feature weighting and an assembly calculation are performed on the engine scanning data to determine an initial engine index coefficient; The initial engine index coefficients are traversed, and secondary weighting and secondary assembly calculation are performed based on the index importance to determine the first quality assessment coefficient.

5. The engine disassembly equipment based on three-dimensional scanning and modeling as claimed in claim 4, characterized in that: The determining of the quality assessment coefficient comprises: Based on the engine structure, determining first quality data; Interacting the production steps of the engine, performing production loss assessment, and determining second quality data; Fitting the first quality data and the second quality data to determine a second quality assessment coefficient; The first quality assessment coefficient and the second quality assessment coefficient are comprehensively calculated to determine the quality assessment coefficient.

6. The engine disassembly equipment based on three-dimensional scanning and modeling as claimed in claim 1, characterized in that: The determining of the quality assessment coefficient further includes: Determining a derived evaluation target and a derived evaluation characteristic, and determining an evaluation decision method in combination with the derived evaluation characteristic, wherein the derived evaluation target includes at least one item; Based on the derived evaluation target, traverse the engine scan data to extract derived correlation features; The derived associated features are traversed, and the derived evaluation coefficients are evaluated and determined in combination with the derived evaluation characteristics, and added to the quality evaluation coefficients.

7. The engine disassembly equipment based on three-dimensional scanning and modeling as claimed in claim 1, characterized in that: The obtaining of the engine disassembly sequence comprises: Traversing the quality assessment coefficients to determine the quality defects of the engine; An engine disassembly sequence is matched according to the quality defects to obtain the engine disassembly sequence, wherein the engine disassembly sequence includes a finished engine disassembly sequence.

8. The engine disassembly equipment based on three-dimensional scanning and modeling as claimed in claim 7, characterized in that: The obtaining of the engine disassembly sequence further includes: Tracing the quality defects, locating production nodes and optimizing production decisions based on the production steps of the engine, and determining the optimization strategy; Based on the optimization strategy, the production optimization of the engine is performed in reverse.

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