Prefabricated component collaborative production management method based on historical data

Abstract

The application provides a kind of based on historical data's fabricated component cooperative production management method, comprising: extracting historical building data matched with historical building demand from historical database, and constructing fabricated building model and fabricated process for historical building data;Component splitting is carried out on fabricated building model, the same component model is rotated to obtain component rotation set, and component three-dimensional perfection is carried out through component rotation set;According to the component information of the same component model after perfection, unique coding is carried out;Based on fabricated process, the coding progress supervision is carried out on each same component model after perfection, and coding thread is obtained;All obtained coding threads are aligned, missing thread segment is locked, and missing thread segment is supplemented cooperatively, to realize the cooperative production management of all perfected component models. Improve the efficiency of cooperative production management.

Description

Technical Field

[0001] This invention relates to the field of collaborative management technology, and in particular to a collaborative production management method for prefabricated components based on historical data. Background Technology

[0002] Currently, prefabricated building components mainly include exterior wall panels, interior wall panels, composite slabs, balconies, air conditioning panels, stairs, precast beams, and precast columns. Prefabricated construction refers to transferring a large amount of on-site work from traditional construction methods to factories. Building components and accessories (such as floor slabs, wall panels, stairs, balconies, etc.) are prefabricated in factories, transported to the construction site, and assembled on-site using reliable connection methods.

[0003] There are already a large number of successful real-world cases that can serve as a reference for the assembly of subsequent components. However, while existing cases can be used as a reference based on historical data, there may be some errors or data gaps during the construction process, which may lead to deficiencies in production management and result in low efficiency in the assembly of subsequent components.

[0004] Therefore, this invention proposes a collaborative production management method for prefabricated construction based on historical data. Summary of the Invention

[0005] This invention provides a collaborative production management method for prefabricated components based on historical data. It is used to reverse-engineer models and split models based on historical databases. By improving the rotation of components and supervising the coding progress, coding threads can be obtained, which facilitates the effective collaborative supplementation of missing thread segments and improves the efficiency of collaborative production management.

[0006] This invention provides a collaborative production management method for prefabricated components based on historical data, comprising:

[0007] Step 1: Extract historical building data that matches the needs of historical buildings from the historical database, and construct a prefabricated building model and prefabricated process based on the historical building data;

[0008] Step 2: Decompose the prefabricated building model into components, rotate the same component model to obtain a component rotation set, and improve the three-dimensional structure of the component through the component rotation set. The construction of the rotation set includes: the model appearance of the same component model obtained by rotating it 360 degrees according to a preset rotation angle.

[0009] Step 3: Based on the component information of the improved component model, perform a unique coding, wherein the component information includes: component geometry, component material, component type, and component assembly position;

[0010] Step 4: Based on the assembly process, perform coded progress monitoring on each completed component model to obtain the coding thread;

[0011] Step 5: Align all the acquired coding threads, lock the missing thread segments, and collaboratively supplement the missing thread segments to achieve collaborative production management of all the improved component models.

[0012] Preferably, historical building data matching the needs of historical buildings is extracted from historical databases, including:

[0013] Obtain the required topic for the historical building, match the required topic from the topic list in the historical database, and jump to the pointer-locked position;

[0014] Retrieve historical building data at the pointer-locked position.

[0015] Preferably, the prefabricated building model is disassembled into components, and the same component model is rotated to obtain a component rotation set, including:

[0016] Determine the assembly boundary direction, the direction angle of each assembly boundary direction, the boundary length, and the belonging position line based on the prefabricated building model;

[0017] All acquired directional angles, boundary lengths, and the location lines based on the prefabricated building model are input into a preset splitting model, which splits the prefabricated building model into several sub-models.

[0018] Lock the model vertices of each sub-model, construct the relative positional relationship of the corresponding sub-models based on the prefabricated building model, and verify whether the corresponding split sub-models are split reasonably;

[0019] If the split is reasonable, the corresponding sub-models will be retained as component models;

[0020] If the splitting is unqualified, the unqualified sub-model is rotated 360 times according to a preset degree, and the sub-face information of the unqualified sub-model on each rotation surface is obtained, and the component rotation set is obtained.

[0021] Preferably, the corresponding sub-models are constructed based on the relative positional relationships of the prefabricated building model, and the reasonableness of the corresponding split sub-models is verified, including:

[0022] The first model space is obtained by drawing the maximum volume based on the model vertices of the same sub-model. At the same time, the second model space is obtained by drawing the minimum volume based on the model vertices of the same sub-model. The second model space is located inside the first model space.

[0023] Obtain the third model space of the sub-model after splitting based on the preset splitting model, and obtain the first spatial deviation and the first spatial enclosing relationship between the third model space and the first model space. At the same time, obtain the second spatial deviation and the second spatial enclosing relationship between the third model space and the first model space.

[0024] Obtain the third center point of the third model space, the first center point of the first model space, and the second center point of the second model space;

[0025] Based on the first point deviation between the third center point and the first center point, and the second point deviation between the third center point and the second center point;

[0026] A first consistency verification is performed on the first spatial deviation and the first spatial enclosing relationship based on the first point deviation; at the same time, a second consistency verification is performed on the second spatial deviation and the second spatial enclosing relationship based on the second point deviation.

[0027] Based on the first and second consistency verification results, analyze the offset factor based on each azimuth angle;

[0028] When all offset factors are within the preset offset range, the corresponding sub-model split is deemed reasonable.

[0029] Otherwise, lock the azimuth angle that is not within the preset offset range, and set a label for the corresponding locked azimuth angle.

[0030] Preferably, based on the first and second consistency verification results, the offset factor based on each azimuth angle is analyzed, including:

[0031]

[0032] in, This represents the line segment with the maximum deviation at the corresponding azimuth angle, determined based on the first spatial deviation and the first spatial enclosing relationship. This represents the deviation line segment determined based on the deviation at the first point; The deviation conversion function represents the line segment corresponding to the first point deviation; Representation function right The deviation conversion result; This represents the line segment with the maximum deviation at the corresponding azimuth angle, determined based on the second spatial deviation and the second spatial enclosing relationship. This represents the deviation line segment determined based on the deviation at the second point. The deviation conversion function represents the line segment corresponding to the deviation at the second point; Representation function right The deviation conversion result; Indicates to The result adjustment function of the deviation conversion result; Indicates to The result adjustment function of the deviation conversion result; Intersection symbol; The deviation factor represents the corresponding azimuth angle; Indicates s1 and The angular deviation between them is transformed by the conversion function; express and The conversion function for the angular deviation between them.

[0033] Preferred options also include:

[0034] When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is 0 degrees, the value of the corresponding deviation conversion function is 0.

[0035] When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is (0°, 45°), the value of the corresponding deviation conversion function is determined to be 0.3.

[0036] When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is (45°, 90°), the value of the corresponding deviation conversion function is determined to be 0.5.

[0037] Preferably, the three-dimensional completion of the component is achieved through the component rotation set, including:

[0038] Each sub-surface information is compared with the standard surface information of the corresponding standard component to obtain the differences.

[0039] Based on the difference points matched in the difference information of each face, perform horizontal and vertical structure setting analysis, and construct horizontal and vertical expressions based on the distribution of difference points on the same face.

[0040] Based on the horizontal and vertical expressions, the difficulty of repairing differences on the same surface is estimated.

[0041] When the difficulty of repairing the difference is greater than the preset repair difficulty, based on the horizontal expression and the vertical expression, several maximum difference points are selected, and the surface to be repaired is split according to the difference direction of the maximum difference points. The difference information of each part of the repair surface is analyzed to obtain the first repair script of the corresponding part of the repair surface.

[0042] Otherwise, the difference information is input into the component improvement model to obtain the second repair script for the corresponding surface;

[0043] Based on the obtained final repair script, the corresponding rotating component is improved in three dimensions.

[0044] Preferably, based on the assembly process, coded progress monitoring is performed on each completed model of the same component to obtain the coding thread, including:

[0045] Monitor the coding traces of each improved component model in each sub-process of the assembly process;

[0046] The coding progress is determined by the remaining coding traces, and the coding thread is obtained.

[0047] Preferably, all acquired coding threads are aligned, missing thread segments are identified, and the missing thread segments are collaboratively supplemented to achieve collaborative production management of all improved component models, including:

[0048] Each coding thread is aligned with the assembly process to identify any missing sub-processes in the corresponding coding thread and treat them as missing thread segments.

[0049] The missing thread segments are supplemented, and a reminder management tag is set. When the collaborative production time is reached, a reminder behavior consistent with the reminder management tag is triggered to perform collaborative production management.

[0050] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0051] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0052] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0053] Figure 1 This is a flowchart of a collaborative production management method for prefabricated components based on historical data, as described in an embodiment of the present invention. Detailed Implementation

[0054] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0055] This invention provides a collaborative production management method for prefabricated components based on historical data, such as... Figure 1 As shown, it includes:

[0056] Step 1: Extract historical building data that matches the needs of historical buildings from the historical database, and construct a prefabricated building model and prefabricated process based on the historical building data;

[0057] Step 2: Decompose the prefabricated building model into components, rotate the same component model to obtain a component rotation set, and improve the three-dimensional structure of the component through the component rotation set. The construction of the rotation set includes: the model appearance of the same component model obtained by rotating it 360 degrees according to a preset rotation angle.

[0058] Step 3: Based on the component information of the improved component model, perform a unique coding, wherein the component information includes: component geometry, component material, component type, and component assembly position;

[0059] Step 4: Based on the assembly process, perform coded progress monitoring on each completed component model to obtain the coding thread;

[0060] Step 5: Align all the acquired coding threads, lock the missing thread segments, and collaboratively supplement the missing thread segments to achieve collaborative production management of all the improved component models.

[0061] In this embodiment, the historical database includes various building requirements and the building data matching those requirements. This building data includes various prefabricated components, all of which are obtained based on already constructed buildings. For example, the construction steps between different components and the component shapes of different components can all be analyzed based on the already constructed buildings. This is because there is already a pre-set construction process before the components are constructed, and the construction can be carried out according to the process. Since the time is historical, all possible data is regarded as historical data.

[0062] In this embodiment, the prefabricated building model is constructed based on historical building data that matches the needs of historical buildings, and is designed to control the status of the model throughout the entire process.

[0063] In this embodiment, the prefabricated process includes: structural simulation of different components, transportation simulation of different components, and hoisting simulation of different components.

[0064] In this embodiment, component splitting refers to splitting the model. Since the model itself is composed of multiple components, it can be split in reverse to obtain several component models. During the splitting process, due to splitting errors, errors between the building model and the component model, etc., some data may be missing in the split model. Therefore, the component model can be improved by rotating the model to ensure the efficiency of subsequent collaborative production management.

[0065] In this embodiment, the coded progress refers to whether the corresponding component model appears in each sub-process of the assembly process. If it appears, the thread segment is drawn, and finally, the coded thread of the corresponding component model is obtained.

[0066] In this embodiment, alignment processing refers to alignment processing implemented according to the assembly process.

[0067] In this embodiment, for example, the assembly process includes: process 1, process 2, process 3 and process 4. For component model 1, processes 1, 2 and 3 are included. At this time, the corresponding coding thread is: process 1-2-3. At this time, the missing thread segment is the one corresponding to process 4.

[0068] In this embodiment, the purpose of collaborative supplementation is to improve the process of the component model and avoid the subsequent unreasonable assembly components due to the absence of a certain process. Through the collaborative management of threads, the assembly efficiency can be improved. The purpose of collaborative management is to provide a production management foundation for the subsequent prefabricated building and ensure the production efficiency of the prefabricated building.

[0069] The beneficial effects of the above technical solution are: it can reverse-engineer the model and split the model based on the historical database, and obtain the coding thread by rotating and improving the components and supervising the coding progress, which facilitates the effective collaborative supplementation of missing thread segments and improves the efficiency of collaborative production management.

[0070] This invention provides a collaborative production management method for prefabricated components based on historical data, which extracts historical building data matching the needs of historical buildings from a historical database, including:

[0071] Obtain the required topic for the historical building, match the required topic from the topic list in the historical database, and jump to the pointer-locked position;

[0072] Retrieve historical building data at the pointer-locked position.

[0073] In this embodiment, the historical database contains demand topics and storage blocks that match the demand topics, and the storage blocks store building data that matches the topics.

[0074] In this embodiment, the specified locking location is used to obtain historical building data based on the pointer-locked storage block (pointer-locked location).

[0075] The beneficial effects of the above technical solution are: by matching the demand topic with the historical database, the pointer locking position can be determined, thereby obtaining historical building data, which provides a foundation for subsequent collaborative management.

[0076] This invention provides a collaborative production management method for prefabricated components based on historical data. The method involves disassembling the prefabricated building model into components, rotating the same component model, and obtaining a set of rotated components, including:

[0077] Determine the assembly boundary direction, the direction angle of each assembly boundary direction, the boundary length, and the belonging position line based on the prefabricated building model;

[0078] All acquired directional angles, boundary lengths, and the location lines based on the prefabricated building model are input into a preset splitting model, which splits the prefabricated building model into several sub-models.

[0079] Lock the model vertices of each sub-model, construct the relative positional relationship of the corresponding sub-models based on the prefabricated building model, and verify whether the corresponding split sub-models are split reasonably;

[0080] If the split is reasonable, the corresponding sub-models will be retained as component models;

[0081] If the splitting is unqualified, the unqualified sub-model is rotated 360 times according to a preset degree, and the sub-face information of the unqualified sub-model on each rotation surface is obtained, and the component rotation set is obtained.

[0082] In this embodiment, the assembly boundary direction refers to the direction of the lines on the model from left to right, the direction angle refers to the angle between the line and the horizontal line, the boundary length refers to the length of the assembly boundary line, and the belonging line position refers to the specific position of the assembly boundary on the model, which is displayed by coordinates.

[0083] In this embodiment, the preset splitting model is trained based on the boundary angles, lengths, and belonging lines of different models after splitting. Therefore, it is possible to split the prefabricated building model to obtain sub-models.

[0084] In this embodiment, the model vertices of the sub-model refer to several vertices of the upper top, several vertices of the lower top, etc., and the relative positional relationship refers to the relative position coordinates of the corresponding points of the upper and lower vertices.

[0085] In this embodiment, the verification of whether the split is qualified is mainly done by reconstructing the model of the vertices of the sub-model to verify whether it can be constructed to be basically consistent with the sub-model obtained after splitting according to the preset splitting model. If it is basically consistent, the split is deemed reasonable. The vertex selection of different qualified sub-models is predetermined to ensure that the model is reconstructed by the vertices.

[0086] In this embodiment, if the model is not qualified, it needs to be rotated by 1 degree at a time for 360 times. In this way, the sub-face information of the matching surface can be obtained from the external position A after each rotation of the model.

[0087] In this embodiment, sub-face information refers to the concavity and convexity of the corresponding face, as well as the direction, length, and angle of the boundary lines in the corresponding face, which facilitates the reasonable acquisition of model information.

[0088] The beneficial effects of the above technical solution are: by determining various boundary information of the prefabricated building model, the prefabricated model can be split based on the preset split model, and the split sub-models can be verified according to the relative positional relationship of the vertices of each sub-model, thus effectively realizing the reasonable verification of the model and providing a foundation for subsequent construction improvement and collaborative production management.

[0089] This invention provides a collaborative production management method for prefabricated components based on historical data, which constructs the relative positional relationship of corresponding sub-models based on the prefabricated building model, and verifies whether the corresponding split sub-models are reasonably split, including:

[0090] The first model space is obtained by drawing the maximum volume based on the model vertices of the same sub-model. At the same time, the second model space is obtained by drawing the minimum volume based on the model vertices of the same sub-model. The second model space is located inside the first model space.

[0091] Obtain the third model space of the sub-model after splitting based on the preset splitting model, and obtain the first spatial deviation and the first spatial enclosing relationship between the third model space and the first model space. At the same time, obtain the second spatial deviation and the second spatial enclosing relationship between the third model space and the first model space.

[0092] Obtain the third center point of the third model space, the first center point of the first model space, and the second center point of the second model space;

[0093] Based on the first point deviation between the third center point and the first center point, and the second point deviation between the third center point and the second center point;

[0094] A first consistency verification is performed on the first spatial deviation and the first spatial enclosing relationship based on the first point deviation; at the same time, a second consistency verification is performed on the second spatial deviation and the second spatial enclosing relationship based on the second point deviation.

[0095] Based on the first and second consistency verification results, analyze the offset factor based on each azimuth angle;

[0096] When all offset factors are within the preset offset range, the corresponding sub-model split is deemed reasonable.

[0097] Otherwise, lock the azimuth angle that is not within the preset offset range, and set a label for the corresponding locked azimuth angle.

[0098] In this embodiment, the offset factor mainly relies on the relevant point deviation, spatial deviation, and enclosing relationship.

[0099] In this embodiment, the preset offset range is pre-set, and the value of the offset range is greater than 2.

[0100] In this embodiment, the azimuth angle refers to the offset of the corresponding azimuth on the sub-model. For example, during the verification process, the azimuths 1, 2, 3, 4, and 5 of the sub-model are verified separately to determine the offset of each azimuth. This can effectively identify the existing offset. The label set for the azimuth angle is mainly to facilitate timely understanding of the offset in that azimuth and the need for effective repair, thereby ensuring the efficiency of subsequent collaborative production management.

[0101] In this embodiment, maximum volume drawing refers to drawing the maximum bounding boundary based on the model vertices to obtain the maximum volume drawing, and minimum volume drawing refers to drawing the minimum bounding boundary based on the model vertices to obtain the minimum volume. The maximum volume corresponds to the first model space, and the minimum volume corresponds to the second model space.

[0102] In this embodiment, the third model space refers to the space drawn based on the contour lines of the sub-model. It is used to determine the spatial deviation and spatial relationship between the space obtained from the contour and the maximum and minimum spaces. The spatial deviation mainly refers to the intersecting and non-intersecting parts of the space formed by the contour and the maximum space, as well as the intersecting and non-intersecting parts of the space formed by the contour and the minimum space. Thus, the existing spatial deviation can be determined. The enclosing relationship refers to the intersecting and non-intersecting relationship, which is realized by the specific intersection position, etc.

[0103] In this embodiment, the center point refers to the exact center point of the corresponding space.

[0104] In this embodiment, the point deviation is the deviation between the positions of two center points, and the deviation between the positions can be drawn as a straight line based on the two center points.

[0105] In this embodiment, verification is to effectively determine whether there is a consistent deviation between point deviation and spatial deviation and spatial enclosing relationship, so as to facilitate the subsequent adoption of different measures to obtain a repair plan. The repair plan refers to the repair of the sub-surface, such as filling lines, correcting angles, etc.

[0106] In this embodiment, the offset factor mainly relies on the relevant point deviation, spatial deviation, and enclosing relationship.

[0107] In this embodiment, the preset offset range is pre-set, and the value of the offset range is greater than 2.

[0108] In this embodiment, the azimuth angle refers to the offset of the corresponding azimuth on the sub-model. For example, during the verification process, the azimuths 1, 2, 3, 4, and 5 of the sub-model are verified separately to determine the offset of each azimuth. This can effectively identify the existing offset. The label set for the azimuth angle is mainly to facilitate timely understanding of the offset in that azimuth and the need for effective repair, thereby ensuring the efficiency of subsequent collaborative production management.

[0109] The beneficial effects of the above technical solution are: by drawing spatial models of the maximum and minimum volumes based on the model vertices, and comparing them with the spaces constructed by the outlines of the sub-models, the existing spatial deviations and spatial containment relationships are determined. Furthermore, the spatial deviations and spatial containment relationships are verified by combining point deviations, effectively analyzing the offset factors at different azimuth angles, facilitating effective repair, and ensuring the efficiency of subsequent collaborative production.

[0110] This invention provides a collaborative production management method for prefabricated components based on historical data. Based on a first consistency verification result and a second consistency verification result, it analyzes an offset factor based on each azimuth angle, including:

[0111]

[0112] in, This represents the line segment with the maximum deviation at the corresponding azimuth angle, determined based on the first spatial deviation and the first spatial enclosing relationship. This represents the deviation line segment determined based on the deviation at the first point; The deviation conversion function represents the line segment corresponding to the first point deviation; Representation function right The deviation conversion result; This represents the line segment with the maximum deviation at the corresponding azimuth angle, determined based on the second spatial deviation and the second spatial enclosing relationship. This represents the deviation line segment determined based on the deviation at the second point. The deviation conversion function represents the line segment corresponding to the deviation at the second point; Representation function right The deviation conversion result; Indicates to The result adjustment function of the deviation conversion result; Indicates to The result adjustment function of the deviation conversion result; Intersection symbol; The deviation factor represents the corresponding azimuth angle; Indicates s1 and The angular deviation between them is transformed by the conversion function; express and The conversion function for the angular deviation between them.

[0113] Preferred options also include:

[0114] When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is 0 degrees, the value of the corresponding deviation conversion function is 0.

[0115] When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is (0°, 45°), the value of the corresponding deviation conversion function is determined to be 0.3.

[0116] When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is (45°, 90°), the value of the corresponding deviation conversion function is determined to be 0.5.

[0117] In this embodiment, the deviation line segment is the straight line segment connecting the two points.

[0118] In this embodiment, the deviation conversion function is used to convert the line segment with the maximum deviation with the first point deviation as a reference, so as to facilitate the uniformity of calculation. The result adjustment function is used to adjust the value under the corresponding conditions of the maximum and minimum space, so as to ensure the accuracy of the value.

[0119] The beneficial effects of the above technical solution are: by calculating the offset factor at the same azimuth angle based on the first verification result and the second verification result, the qualification of the sub-model can be determined, providing a basis for subsequent collaborative production management.

[0120] This invention provides a collaborative production management method for prefabricated components based on historical data, which performs three-dimensional component refinement through the component rotation set, including:

[0121] Each sub-surface information is compared with the standard surface information of the corresponding standard component to obtain the differences.

[0122] Based on the difference points matched in the difference information of each face, perform horizontal and vertical structure setting analysis, and construct horizontal and vertical expressions based on the distribution of difference points on the same face.

[0123] Based on the horizontal and vertical expressions, the difficulty of repairing differences on the same surface is estimated.

[0124] When the difficulty of repairing the difference is greater than the preset repair difficulty, based on the horizontal expression and the vertical expression, several maximum difference points are selected, and the surface to be repaired is split according to the difference direction of the maximum difference points. The difference information of each part of the repair surface is analyzed to obtain the first repair script of the corresponding part of the repair surface.

[0125] Otherwise, the difference information is input into the component improvement model to obtain the second repair script for the corresponding surface;

[0126] Based on the obtained final repair script, the corresponding rotating component is improved in three dimensions.

[0127] In this embodiment, sub-surface information refers to the line coordinate information, angle information, length information, boundary information, etc. on the corresponding rotation surface. These are all information that can represent the constructed boundary structure, such as: actual 1, actual 2;

[0128] In this embodiment, the standard surface information is preset, such as: standard 1, standard 2.

[0129] At this point, the difference information is: Actual 1 vs. Standard 1, Actual 2 vs. Standard 2.

[0130] In this embodiment, the difference point refers to the point information on the corresponding line, thereby determining the horizontal and vertical structure of each difference point.

[0131] In this embodiment, the horizontal structure analysis refers to the situation on the horizontal coordinate and the structural deployment at each horizontal point, etc. The vertical structure analysis is the same as the horizontal structure analysis, which will not be repeated here. Each horizontal point is represented by the repair symbol matched by that point, and each vertical point is also represented by the repair symbol matched by that point.

[0132] In this embodiment, the difficulty of differential repair refers to the greater the repair difficulty, the more repair symbols appear in the horizontal expression and the vertical expression.

[0133] In this embodiment, the maximum difference point is obtained by taking the position of the symbol that best represents the repair intention. Therefore, the maximum difference point can be obtained.

[0134] In this embodiment, the direction of difference refers to the connection direction of the point of greatest difference and the location of the concentration, such as the outline position of the sub-model or the position on the structural surface.

[0135] In this embodiment, the complete model is pre-trained based on different difference information and the model to be repaired as samples, so the repair script for the corresponding surface can be obtained.

[0136] In this embodiment, the first repair script and the second repair script can be repair programs, mainly for improving the construction and ensuring the efficiency of subsequent collaborative production management.

[0137] The beneficial effects of the above technical solution are: by obtaining the horizontal expression and the comprehensive expression, the difficulty of repair can be estimated, and the repair surface can be repaired in different ways to ensure the three-dimensional perfection of the construction and provide a foundation for subsequent collaborative production management.

[0138] This invention provides a collaborative production management method for prefabricated components based on historical data. Based on the prefabricated process, it performs coded progress monitoring on each improved model of the same component to obtain the coded thread, including:

[0139] Monitor the coding traces of each improved component model in each sub-process of the assembly process;

[0140] The coding progress is determined by the remaining coding traces, and the coding thread is obtained.

[0141] In this embodiment, the coding traces refer to the traces that existed in the corresponding sub-process, thus obtaining the coding progress;

[0142] For example, if there are remnants in subprocesses 1, 2, and 8, the coding progress would be: progress 1-2-8, and it would be considered a coding thread.

[0143] The beneficial effects of the above technical solution are: by identifying the coding traces, the coding progress can be determined, and thus the coding thread can be obtained, providing a basis for subsequent management reminders.

[0144] This invention provides a collaborative production management method for prefabricated components based on historical data. It aligns all acquired coding threads, identifies missing thread segments, and collaboratively supplements these missing thread segments to achieve collaborative production management of all completed component models. The method includes:

[0145] Each coding thread is aligned with the assembly process to identify any missing sub-processes in the corresponding coding thread and treat them as missing thread segments.

[0146] The missing thread segments are supplemented, and a reminder management tag is set. When the collaborative production time is reached, a reminder behavior consistent with the reminder management tag is triggered to perform collaborative production management.

[0147] In this embodiment, process alignment refers to aligning the actual process corresponding to each sub-model with the standard process according to the assembly process.

[0148] In this embodiment, the reminder management label refers to setting a label on the corresponding sub-model that may be missed in a certain sub-process, so as to facilitate reminders.

[0149] The beneficial effects of the above technical solution are: by performing alignment processing and setting reminder management tags for missing thread segments, it is to avoid the reduction in efficiency of subsequent collaborative management due to defect records or omissions in a certain process. Furthermore, the purpose of setting reminder management tags is mainly to better supervise the entire collaborative production management process and provide a good management foundation for subsequent production.

[0150] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A collaborative production management method for prefabricated components based on historical data, characterized in that, include: Step 1: Extract historical building data that matches the needs of historical buildings from the historical database, and construct a prefabricated building model and prefabricated process based on the historical building data; Step 2: Decompose the prefabricated building model into components, rotate the same component model to obtain a component rotation set, and improve the three-dimensional structure of the component through the component rotation set. The construction of the rotation set includes: the model appearance of the same component model obtained by rotating it 360 degrees according to a preset rotation angle. Step 3: Based on the component information of the improved component model, perform a unique coding, wherein the component information includes: component geometry, component material, component type, and component assembly position; Step 4: Based on the assembly process, perform coded progress monitoring on each completed component model to obtain the coding thread; Step 5: Align all the acquired coding threads, lock the missing thread segments, and collaboratively supplement the missing thread segments to achieve collaborative production management of all the improved component models; The prefabricated building model is disassembled into components, and the same component model is rotated to obtain a set of rotated components, including: Determine the assembly boundary direction, the direction angle of each assembly boundary direction, the boundary length, and the belonging position line based on the prefabricated building model; All acquired directional angles, boundary lengths, and the location lines based on the prefabricated building model are input into a preset splitting model, which splits the prefabricated building model into several sub-models. Lock the model vertices of each sub-model, construct the relative positional relationship of the corresponding sub-models based on the prefabricated building model, and verify whether the corresponding split sub-models are split reasonably; If the split is reasonable, the corresponding sub-models will be retained as component models; If the splitting is unqualified, the unqualified sub-model is rotated 360 times according to a preset degree, and the sub-face information of the unqualified sub-model on each rotation plane is obtained, and the component rotation set is obtained. The three-dimensional completion of the component is achieved through the rotation set of the components, including: Each sub-surface information is compared with the standard surface information of the corresponding standard component to obtain the differences. Based on the difference points matched in the difference information of each face, perform horizontal and vertical structure setting analysis, and construct horizontal and vertical expressions based on the distribution of difference points on the same face. Based on the horizontal and vertical expressions, the difficulty of repairing differences on the same surface is estimated. When the difficulty of repairing the difference is greater than the preset repair difficulty, based on the horizontal expression and the vertical expression, several maximum difference points are selected, and the surface to be repaired is split according to the difference direction of the maximum difference points. The difference information of each part of the repair surface is analyzed to obtain the first repair script of the corresponding part of the repair surface. Otherwise, the difference information is input into the component improvement model to obtain the second repair script for the corresponding surface; Based on the obtained final repair script, the corresponding rotating component is improved in three dimensions.

2. The method for collaborative production management of prefabricated components based on historical data as described in claim 1, characterized in that, Extract historical building data from historical databases that match the needs for historical buildings, including: Obtain the required topic for the historical building, match the required topic from the topic list in the historical database, and jump to the pointer-locked position; Retrieve historical building data at the pointer-locked position.

3. The method for collaborative production management of prefabricated components based on historical data as described in claim 2, characterized in that, Construct corresponding sub-models based on the relative positional relationships of the prefabricated building model, and verify whether the corresponding split sub-models are reasonably split, including: The first model space is obtained by drawing the maximum volume based on the model vertices of the same sub-model. At the same time, the second model space is obtained by drawing the minimum volume based on the model vertices of the same sub-model. The second model space is located inside the first model space. Obtain the third model space of the sub-model after splitting based on the preset splitting model, and obtain the first spatial deviation and the first spatial enclosing relationship between the third model space and the first model space. At the same time, obtain the second spatial deviation and the second spatial enclosing relationship between the third model space and the first model space. Obtain the third center point of the third model space, the first center point of the first model space, and the second center point of the second model space; Based on the first point deviation between the third center point and the first center point, and the second point deviation between the third center point and the second center point; A first consistency verification is performed on the first spatial deviation and the first spatial enclosing relationship based on the first point deviation; at the same time, a second consistency verification is performed on the second spatial deviation and the second spatial enclosing relationship based on the second point deviation. Based on the first and second consistency verification results, analyze the offset factor based on each azimuth angle; When all offset factors are within the preset offset range, the corresponding sub-model split is deemed reasonable. Otherwise, lock the azimuth angle that is not within the preset offset range, and set a label for the corresponding locked azimuth angle.

4. The prefabricated component collaborative production management method based on historical data as described in claim 3, characterized in that, Based on the first and second consistency verification results, the offset factor based on each azimuth angle is analyzed, including: in, This represents the line segment with the maximum deviation at the corresponding azimuth angle, determined based on the first spatial deviation and the first spatial enclosing relationship. This represents the deviation line segment determined based on the deviation at the first point; The deviation conversion function represents the line segment corresponding to the first point deviation; Representation function right The deviation conversion result; This represents the line segment with the maximum deviation at the corresponding azimuth angle, determined based on the second spatial deviation and the second spatial enclosing relationship. This represents the deviation line segment determined based on the deviation at the second point. The deviation conversion function represents the line segment corresponding to the deviation at the second point; Representation function right The deviation conversion result; Indicates to The result adjustment function of the deviation conversion result; Indicates to The result adjustment function of the deviation conversion result; Intersection symbol; The deviation factor represents the corresponding azimuth angle; Indicates s1 and The angular deviation conversion function between them; express and The conversion function for the angular deviation between them.

5. The method for collaborative production management of prefabricated components based on historical data as described in claim 4, characterized in that, Also includes: When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is 0 degrees, the value of the corresponding deviation conversion function is 0. When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is (0°, 45°), the value of the corresponding deviation conversion function is determined to be 0.

3. When the absolute angle between the maximum deviation line segment and the corresponding deviation line segment is (45°, 90°), the value of the corresponding deviation conversion function is determined to be 0.

5.

6. The method for collaborative production management of prefabricated components based on historical data as described in claim 1, characterized in that, Based on the assembly process, coded progress monitoring is performed on each completed component model to obtain the coding threads, including: Monitor the coding traces of each improved component model in each sub-process of the assembly process; The coding progress is determined by the remaining coding traces, and the coding thread is obtained.

7. The method for collaborative production management of prefabricated components based on historical data as described in claim 1, characterized in that, All acquired coding threads are aligned, missing thread segments are identified, and these missing thread segments are collaboratively supplemented to achieve collaborative production management of all completed component models, including: Each coding thread is aligned with the assembly process to identify any missing sub-processes in the corresponding coding thread and treat them as missing thread segments. The missing thread segments are supplemented, and a reminder management tag is set. When the collaborative production time is reached, a reminder behavior consistent with the reminder management tag is triggered to perform collaborative production management.

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