Prefabricated part full-process tracing system based on BIM and Internet of Things technology

Abstract

The invention discloses a prefabricated part full-process tracing system based on BIM and Internet of Things technology, and the system carries out the real-time recording of the overall production stage of a prefabricated part through the BIM technology, obtains a production information table, carries out the comparative analysis of a component design drawing set and a component production drawing set, and achieves the real-time tracing of the whole production stage of the prefabricated part. The production quality condition of the prefabricated sub-component in the whole production process of the prefabricated component is reflected, data support is provided for follow-up production quality tracing operation, one-by-one comparative analysis is carried out by analyzing a production information table and a plurality of previous abnormal stage tables, whether correlation exists between abnormal stages or not is reflected, and the production quality of the prefabricated sub-component is improved. The production process of the unqualified prefabricated component can be traced, the efficiency of the tracing work is improved, the suspected association group in the abnormal stage table is traced, the abnormal production initial stage is determined, the problem that the quality of the produced prefabricated component is unqualified due to abnormal production of the prefabricated sub-component is solved, and the production efficiency is improved. And the production process of the prefabricated part is difficult to trace accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of building component management, and particularly to a full-process traceability system for precast components based on BIM and Internet of Things technologies. Background Art

[0002] With the rapid development of building industrialization, precast components have been widely used in the construction field due to their advantages such as high production efficiency and stable quality control. However, the production of precast components involves multiple links, and any abnormality in any link may lead to unqualified quality of the final product. Traditional traceability methods often rely on manual records and post-event inspections, making it difficult to achieve real-time monitoring and accurate traceability of the entire production process. Therefore, how to use modern technical means to achieve comprehensive monitoring and efficient traceability of the precast component production process has become an urgent problem to be solved.

[0003] In the prior art, it often relies on manual records and post-event inspections, making it difficult to achieve real-time monitoring and accurate traceability of the entire production process. Therefore, through BIM technology, the overall production stage of precast components is recorded in real time to obtain a production information table, and the component design drawing set and the component production drawing set are compared and analyzed to reflect the production quality of precast sub-components during the entire production process of precast components, providing data support for subsequent traceability operations of production quality. By analyzing the comparison and analysis data, abnormal stages in the production process are identified and an abnormal stage table is formed. At the same time, according to the same acquisition method, multiple previous abnormal stage tables are obtained as historical data, and the abnormal stage table is compared and analyzed with multiple previous abnormal stage tables one by one to reflect whether there is an association between abnormal stages, which is beneficial to tracing the production process of unqualified precast components and improving the efficiency of the tracing work. The suspected association groups in the abnormal stage table are analyzed to obtain an abnormal stage table, and the abnormal stage table is traced according to the association determination result to determine the starting stage of abnormal production, solving the problem that it is difficult to accurately trace the production process of precast components due to the abnormal production of precast sub-components resulting in unqualified quality of the precast components after production. Summary of the Invention

[0004] The purpose of the present invention is to provide a full-process traceability system for precast components based on BIM and Internet of Things technologies to solve at least one of the above-mentioned prior art problems.

[0005] A full-process traceability system for precast components based on BIM and Internet of Things technologies includes:

[0006] A table induction and generation module: recording the overall production stage of precast components in real time through BIM technology to obtain a production information table;

[0007] Production design comparison module: Through the Internet of Things technology, the three-dimensional model of precast components created by BIM technology is split and extracted according to the production information table to generate a set of component design drawings. At the same time, by using Revit modeling software based on the production information table, a set of component production drawings is generated. The set of component design drawings is compared and analyzed with the set of component production drawings to obtain comparison and analysis data, and the comparison and analysis data is processed to obtain a production traceability signal;

[0008] Phase correlation analysis module: Based on the production traceability signal, the comparison and analysis data is analyzed to obtain an abnormal phase table, and according to the acquisition method of the abnormal phase table, multiple previous abnormal phase tables are obtained. The abnormal phase table is compared and analyzed with multiple previous abnormal phase tables one by one to obtain a correlation determination result;

[0009] Among them, the correlation determination result includes a phase correlation signal or a phase non-correlation signal;

[0010] Abnormal start tracing module: Analyze the suspected correlation group to obtain an abnormal phase table, and trace according to the abnormal phase table based on the correlation determination result to determine the abnormal production start phase.

[0011] Advantages of the present invention:

[0012] 1. The present invention records the overall production stage of precast components in real time through BIM technology to obtain a production information table, and compares and analyzes the set of component design drawings with the set of component production drawings, and outputs a comparison and analysis value. The production quality of precast sub-components during the entire production process of precast components is reflected by the comparison and analysis value, providing data support for subsequent production quality traceability operations;

[0013] 2. The present invention analyzes the comparison and analysis data, identifies the abnormal phases in the production process, and forms an abnormal phase table. At the same time, according to the same acquisition method, multiple previous abnormal phase tables are obtained as historical data, and the abnormal phase table is compared and analyzed with multiple previous abnormal phase tables one by one to obtain a phase correlation value, so as to reflect whether there is a correlation between abnormal phases through the phase correlation value, which is beneficial to tracing the production process of unqualified precast components and improving the efficiency of the tracing work;

[0014] 3. The present invention analyzes the suspected correlation group in the abnormal phase table to obtain an abnormal phase table, and traces according to the abnormal phase table based on the correlation determination result to determine the abnormal production start phase, solving the problem that it is difficult to accurately trace the production process of precast components due to the abnormal production of precast sub-components resulting in unqualified quality of the produced precast components. Description of the Drawings

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 is a flowchart of a traceability analysis method within the precast component full-process traceability system based on BIM and Internet of Things technologies of the present invention;

[0017] Figure 2 is a schematic structural diagram of the precast component full-process traceability system based on BIM and Internet of Things technologies of the present invention;

[0018] Figure 3 is a schematic structural diagram of the precast component full-process traceability device based on BIM and Internet of Things technologies of the present invention. Detailed implementation manners

[0019] To enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, rather than all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention shall fall within the protection scope of the present invention.

[0020] Embodiment 1

[0021] Figure 1 is a flowchart of the precast component full-process traceability method based on BIM and Internet of Things technologies provided in Embodiment 1 of the present invention. The embodiments of the present invention are applicable to evaluating the production quality of precast sub-components during the entire production process of precast components. The precast component full-process traceability method based on BIM and Internet of Things technologies can be executed by a precast component full-process traceability system based on BIM and Internet of Things technologies. The precast component full-process traceability system based on BIM and Internet of Things technologies can be implemented by software and / or hardware, and can be configured in a precast component full-process traceability device based on BIM and Internet of Things technologies. Optionally, the precast component full-process traceability device based on BIM and Internet of Things technologies can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc. The embodiments of the present invention do not limit this.

[0022] As Figure 1 shown, the precast component full-process traceability method based on BIM and Internet of Things technologies provided in the embodiments of the present invention specifically includes the following steps:

[0023] Table induction generation module: Through BIM technology, the overall production stage of precast components is recorded in real time to obtain a production information table;

[0024] In some embodiments, the overall production stage of precast components is divided by BIM technology to obtain production sub-stages;

[0025] It should be noted that the way to divide the overall production stage of precast components is based on the time series of the production stage of each precast sub-component in the precast component by using BIM technology. Among them, the production sub-stage corresponds to the production stage of the precast sub-component;

[0026] Obtain the dimensions of the precast sub-components within the production sub-stage and sort them according to the time series of the production sub-stage to obtain a production information table;

[0027] Production design comparison module: Through the Internet of Things technology, the three-dimensional model of the precast component created by BIM technology is split and extracted according to the production information table to generate a set of component design drawings. At the same time, based on the production information table by using Revit modeling software, a set of component production drawings is generated. The set of component design drawings is compared and analyzed with the set of component production drawings to obtain comparison and analysis data. The comparison and analysis data is processed to output a comparison and analysis value, which is compared with the comparison and analysis threshold. If the comparison and analysis value is less than the comparison and analysis threshold, a production traceability signal is generated;

[0028] It should be noted that the comparison and analysis data includes multiple comparison and analysis groups;

[0029] In some embodiments, the three-dimensional model of the precast component created by BIM technology is split and extracted according to the time sequence of the production sub-stage in the production information table through the Internet of Things technology to obtain multiple component design drawings;

[0030] Based on multiple component design drawings, according to the extraction time of the component design drawings, multiple component design drawings are integrated into a set of component design drawings R = {r 1 、r 2 、r 3 、......、r n}, where r 1 represents the first component design drawing split and extracted from the three-dimensional model of the precast component, r n represents the nth component design drawing split and extracted from the three-dimensional model of the precast component, and n represents the total number of component design drawings split and extracted from the three-dimensional model of the precast component;

[0031] It should be noted that the extraction time of the component design drawings corresponds to the time sequence of the production sub-stage in the production information table;

[0032] Specifically, the dimensions of the prefabricated sub-components after production are imported into the Revit modeling software through Internet of Things technology to generate component production drawings;

[0033] According to the sorting of the production information table, the component production drawings corresponding to the prefabricated sub-components after production are integrated to obtain a set of component production drawings K = {k 1 , k 2 , k 3 ,......, k m}, where k 1 represents the component production drawing corresponding to the prefabricated sub-component ranked first in the production information table, and k m represents the component production drawing corresponding to the prefabricated sub-component ranked m in the production information table, and m represents the total number of component production drawings corresponding to the prefabricated sub-components in the production information table;

[0034] It should be noted that the elements in the component design drawing set and the elements in the component production drawing set are the drawings of the same prefabricated sub-component. However, the elements in the component design drawing set are the design drawings corresponding to the prefabricated sub-components, and the component production drawings are the drawings after production corresponding to the prefabricated sub-components. n and m are equal, that is, the total number of elements in the component design drawing set R is equal to the total number of elements in the component production drawing set K;

[0035] For example, r 1 in the component design drawing set and k 1 in the component production drawing set are the prefabricated sub-components ranked first in the same production information table, and r n in the component design drawing set and k m in the component production drawing set are the prefabricated sub-components ranked last in the same production information table;

[0036] Exemplarily, r 1 is extracted from the component design drawing set R respectively, and k 1 is extracted from the component production drawing set K. r 1 and k 1 are constructed into a comparison and analysis group. The elements in the component design drawing set R and the component production drawing set K are traversed, and construction operations are performed in the way of constructing a comparison and analysis group with r 1 and k 1 to obtain multiple comparison and analysis groups;

[0037] It can be understood that the comparison and analysis group can be constructed by r 1 and k 1 , r 2 and k 2 or r nWith k m Construct;

[0038] Based on multiple comparison analysis groups, randomly select one comparison analysis group and conduct drawing comparison. The process is as follows:

[0039] Select r 1 Any plane within the 3D design drawing is used as a reference plane;

[0040] Similarly, select k 1 A plane within the 3D production drawing is used as the comparison plane;

[0041] It should be noted that the reference plane and the comparison plane are both planes of the same prefabricated sub-component, and the number of the reference plane and the comparison plane is the same. However, the reference plane is within the 3D design drawing, and the comparison plane is within the 3D production drawing;

[0042] Overlap the comparison plane with the reference plane. The process is as follows:

[0043] If the comparison plane and the reference plane completely overlap, it is marked as a completely overlapping plane;

[0044] If the comparison plane and the reference plane partially overlap, it is marked as a partially overlapping plane;

[0045] Furthermore, based on the completely overlapping plane and the partially overlapping plane, analyze the comparison analysis group. The process is as follows:

[0046] If all the planes in the comparison analysis group are completely overlapping planes, it is marked as a production qualified group;

[0047] If there is at least one partially overlapping plane in the comparison analysis group, it is marked as a non-production qualified group;

[0048] Count the number of production qualified groups, calculate the ratio of the number of production qualified groups to the total number of comparison analysis groups to obtain the production qualified quantity, and mark it as S c ;

[0049] In the non-production qualified group, extract the number of partially overlapping planes and r 1 Calculate the ratio with the total number of planes in the 3D design drawing to obtain the partial overlap quantity;

[0050] Obtain the area of the reference plane and the area of the partially overlapping plane, and calculate by the Euclidean distance method Among them, rm represents the area of the reference plane in the 3D design drawing, km represents the area of the partially overlapping plane in the 3D design drawing, and e represents the number of reference planes in the 3D design drawing and the number of partially overlapping planes in the 3D design drawing;

[0051] Multiply the partial overlap quantity by the partial deviation value to obtain the unit quality inspection value;

[0052] Sum up the unit quality inspection values corresponding to all comparison and analysis groups and take the average to obtain the production quality inspection value, which is marked as D z ;

[0053] Take the production quality inspection value D z and the production qualified quantity S c Substitute them into the formula: Calculate to obtain the comparison and analysis value F d , where α and β are both preset proportionality coefficients, and the value of α is 1.723 and the value of β is 3.491;

[0054] It can be understood that the meaning represented by the comparison and analysis value is: the production accuracy of the prefabricated sub-components is reflected through the production quality inspection value. If the production drawing completely overlaps with the design drawing, it indicates high production accuracy; if there is partial overlap, it means there are certain production errors. The production qualified rate of the prefabricated sub-components is reflected through the production qualified quantity. Combining the production quality inspection value with the production qualified quantity is conducive to reflecting the production quality situation of the prefabricated sub-components during the entire production process of the prefabricated components;

[0055] Compare the comparison and analysis value with the comparison and analysis threshold, and the process is as follows:

[0056] If the comparison and analysis value is greater than or equal to the comparison and analysis threshold, it indicates that the production qualified rate is relatively high and the production accuracy deviation is relatively small, and a production compliance signal is generated;

[0057] If the comparison and analysis value is less than the comparison and analysis threshold, it indicates that the production qualified rate is relatively low and the production accuracy deviation is relatively large, and a production traceability signal is generated;

[0058] The specific implementation scheme of the embodiment of the present invention is: through the BIM technology, the overall production stage of the prefabricated components is recorded in real time to obtain a production information form, and the component design drawing set and the component production drawing set are compared and analyzed, and the comparison and analysis value is output. The production quality situation of the prefabricated sub-components during the entire production process of the prefabricated components is reflected through the comparison and analysis value, providing data support for the subsequent production quality traceability operation and improving the accuracy of traceability;

[0059] Embodiment Two

[0060] Stage correlation analysis module: Based on the production traceability signal, analyze the comparison and analysis data to obtain an abnormal stage form, and according to the acquisition method of the abnormal stage form, obtain multiple previous abnormal stage forms. Compare and analyze the abnormal stage form with the multiple previous abnormal stage forms one by one to obtain a stage correlation value, and compare it with the stage correlation threshold to obtain a correlation determination result;

[0061] Among them, the association determination result includes a phase association signal or a phase non - association signal;

[0062] In some embodiments, the unit quality inspection value corresponding to the comparison and analysis group is obtained, and the unit quality inspection value is compared with the unit quality inspection threshold. The process is as follows:

[0063] If the unit quality inspection value is greater than or equal to the unit quality inspection threshold, it indicates that the number of local overlaps is large and the deviation degree of the local overlaps is large, that is, the production size error of the precast sub - component is large, and the production sub - stage of the precast sub - component with a large production size error is marked as an abnormal stage;

[0064] If the unit quality inspection is less than the unit quality inspection threshold, it indicates that the number of local overlaps is small and the deviation degree of the local overlaps is small, that is, the production size error of the precast sub - component is small, and the production sub - stage of the precast sub - component with a small production size error is marked as a non - abnormal stage;

[0065] The abnormal stages are extracted and sorted and integrated according to the time series of the production sub - stages to obtain an abnormal stage table;

[0066] It should be noted that the acquisition methods of multiple previous abnormal stage tables are the same as those of the abnormal stage table;

[0067] In the abnormal stage table, two adjacent abnormal stages in time are marked as a suspected association group to obtain multiple suspected association groups;

[0068] For example, if there are abnormal stage A, abnormal stage B, and abnormal stage C in the abnormal stage table, the suspected association groups can be composed of abnormal stage A and abnormal stage B, and abnormal stage B and abnormal stage C;

[0069] Arbitrarily extract a previous abnormal stage table from multiple previous abnormal stage reports for analysis. The process is as follows:

[0070] In the previous abnormal stage table, the abnormal stages adjacent in time are marked as historical association groups to obtain multiple historical association groups;

[0071] Arbitrarily extract a suspected association group from multiple suspected association groups and perform a coincidence comparison with multiple historical association groups. If the suspected association group coincides with one of the historical association groups in the multiple historical association groups, the suspected association group is marked as a coincident association group;

[0072] If the suspected association group does not coincide with any of the historical association groups in the multiple historical association groups, the suspected association group is marked as a non - coincident association group;

[0073] Count the number of coincident association groups and calculate the ratio with the total number corresponding to the multiple historical association groups to obtain the coincident association quantity;

[0074] Obtain the unit quality inspection values corresponding to the abnormal stages within the historical associated group, subtract the unit quality inspection value corresponding to the abnormal stage with the earlier time series from the unit quality inspection threshold to obtain the evaluation independent variable;

[0075] Subtract the unit quality inspection value corresponding to the abnormal stage with the later time series from the unit quality inspection threshold as the evaluation dependent variable;

[0076] Calculate the ratio of the evaluation independent variable to the evaluation dependent variable to obtain the evaluation factor;

[0077] Obtain the unit quality inspection value corresponding to the abnormal stage with the earlier time series within the overlapping associated group, and subtract it from the unit quality inspection threshold to obtain the analysis independent variable;

[0078] Obtain the unit quality inspection value corresponding to the abnormal stage with the later time series within the overlapping associated group, and subtract it from the unit quality inspection threshold to obtain the analysis dependent variable;

[0079] Calculate the ratio of the analysis independent variable to the analysis dependent variable to obtain the analysis factor;

[0080] Subtract the analysis factor from the evaluation factor to obtain the factor difference, sum up all the factor differences and take the average to obtain the degree of association value;

[0081] Calculate the ratio of the overlapping association quantity to the degree of association value to obtain the stage association value;

[0082] It can be understood that the meaning represented by the stage association value is: based on the previous abnormal stages, it reflects whether there is an association between the abnormal stages. If this value is larger, it indicates that there is an association between the abnormal stages. If this value is smaller, it indicates that there is no association between the abnormal stages;

[0083] Compare the stage association value with the stage association threshold, and the process is as follows:

[0084] If the stage association value is greater than the stage association threshold, it indicates that there is an association between the abnormal stages, then generate a stage association signal, and mark the suspected associated group corresponding to the stage association signal as the stage associated group;

[0085] If the stage association value is less than or equal to the stage association threshold, it indicates that there is no association between the abnormal stages, then generate a stage non - association signal, and mark the suspected associated group corresponding to the stage non - association signal as the stage non - associated group;

[0086] The specific implementation of the embodiment of the present invention is as follows: By analyzing and comparing the analysis data, the abnormal stages in the production process are identified, and an abnormal stage table is formed. At the same time, according to the same acquisition method, multiple previous abnormal stage tables are obtained as historical data, and the abnormal stage table is compared and analyzed with the multiple previous abnormal stage tables one by one to obtain the stage correlation value, so as to reflect whether there is a correlation between the abnormal stages through the stage correlation value, which is beneficial to tracing the production process of unqualified precast components and improving the efficiency of the tracing work;

[0087] Embodiment III

[0088] Abnormal starting point tracing module: Analyze the suspected correlation groups in the abnormal stage table to obtain the abnormal stage table, and trace the work according to the correlation determination result by analyzing the abnormal stage table to determine the abnormal production starting stage;

[0089] Exemplarily, extract the abnormal stages with earlier time in the suspected correlation group, compare them before and after in time, and sort them according to the time sequence before and after to obtain the abnormal tracing table;

[0090] If all the suspected correlation groups in the abnormal tracing table are stage correlation groups, obtain the time of the abnormal stages in the stage correlation group and compare them, and mark the abnormal stage with the earlier time as the pre-correlation stage;

[0091] Compare the times corresponding to the pre-abnormal stages in all stage correlation groups before and after, and extract the first overlapping correlation group in the abnormal tracing table according to the time sequence before and after, and use the pre-abnormal stage in the first overlapping correlation group as the abnormal production starting stage to complete the production abnormal tracing work;

[0092] If all the suspected correlation groups in the abnormal tracing table are stage non-correlation groups, all the abnormal stages in the stage non-correlation groups are the abnormal production starting stages;

[0093] If there are both stage correlation groups and stage non-correlation groups in the abnormal tracing table, the following process is carried out:

[0094] It should be noted that the stage correlation groups and stage non-correlation groups in the abnormal tracing table are sorted according to the sequence before and after in time;

[0095] If the sorting of the stage correlation group is smaller than that of the stage non-correlation group, all the abnormal stages in the stage non-correlation group and the abnormal stages in the stage correlation group are the abnormal production starting stages;

[0096] If the sorting of the stage correlation group is larger than that of the stage non-correlation group, the abnormal stage with the earlier time in the stage non-correlation group and the abnormal stage with the earlier time in the stage correlation group are used as the abnormal production starting stages;

[0097] For example, the suspected associated groups are respectively composed of an A abnormal stage and a B abnormal stage, and are composed of a B abnormal stage and a C abnormal stage;

[0098] If all the suspected associated groups in the abnormal traceability form are stage associated groups, indicating that the A abnormal stage causes the B abnormal stage to be abnormal, and the B abnormal stage causes the C abnormal stage to be abnormal, then the A abnormal stage is taken as the starting stage of abnormal production;

[0099] If all the suspected associated groups in the abnormal traceability form are stage unassociated groups, indicating that the A abnormal stage does not cause the B abnormal stage to be abnormal, and the B abnormal stage does not cause the C abnormal stage to be abnormal, then the A abnormal stage, the B abnormal stage and the C abnormal stage are taken as the starting stages of abnormal production;

[0100] If there are both stage associated groups and stage unassociated groups in the abnormal traceability form, then classification discussion is carried out, and the process is as follows:

[0101] If the A abnormal stage causes the B abnormal stage to be abnormal, and the B abnormal stage does not cause the C abnormal stage to be abnormal, then the A abnormal stage and the C abnormal stage are taken as the starting stages of abnormal production;

[0102] If the A abnormal stage does not cause the B abnormal stage to be abnormal, and the B abnormal stage causes the C abnormal stage to be abnormal, then the A abnormal stage and the B abnormal stage are taken as the starting stages of abnormal production;

[0103] The specific implementation scheme of the embodiment of the present invention is: analyze the suspected associated groups in the abnormal stage form to obtain the abnormal stage form, and trace according to the associated determination result by analyzing the abnormal stage form to determine the starting stage of abnormal production, so as to solve the problem that it is difficult to accurately trace the production process of precast components due to the abnormal production of precast sub-components resulting in unqualified quality of the post-produced precast components.

[0104] Embodiment III

[0105] Refer to Figure 3 The embodiment of the present invention also provides a computer device 3, including: a memory 302, a processor 301, and a computer program 303 stored on the memory 302. When the computer program 303 is executed on the processor 301, the method of the precast component full-process traceability system based on BIM and Internet of Things technology as described in any one of the above methods is implemented.

[0106] The computer device 3 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art can understand,

[0107] Figure 3The computer device 3 is merely an example and does not limit the computer device 3. It may include more or fewer components than those shown in the figure, or combine certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0108] The so-called processor 301 may be a central processing unit (CPU). This processor 301 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0109] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as the hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk equipped on the computer device 3, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory 302 may also include both the internal storage unit and the external storage device of the computer device 3. The memory 302 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program, etc. The memory 302 may also be used to temporarily store data that has been output or will be output.

[0110] Embodiment 4

[0111] The embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it implements the full-process traceability method for prefabricated components based on BIM and Internet of Things technologies as described in any one of the above methods.

[0112] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above embodiment methods of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the photographing device / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium cannot be an electrical carrier signal and a telecommunication signal.

[0113] In the above embodiments, the descriptions of the various embodiments have their own focuses. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0115] In the embodiments disclosed in this application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0116] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0118] The above has described in detail an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. The full-process traceability system of prefabricated components based on BIM and Internet of Things technology is characterized by: The following steps are involved: Table summary generation module: Use BIM technology to record the entire production stage of prefabricated components in real time and obtain production information tables; Production design comparison module: The three-dimensional model of prefabricated components created by BIM technology is split and extracted according to the production information table through the Internet of Things technology to generate a set of component design drawings. At the same time, the component production drawing set is generated based on the production information table by using Revit modeling software, and the component design drawing set is compared and analyzed with the component production drawing set to obtain comparison analysis data, which is then processed to obtain a production traceability signal; Stage correlation analysis module: Based on the production traceability signal, the analysis data is compared and analyzed to obtain an abnormal stage table, and according to the acquisition method of the abnormal stage table, multiple previous abnormal stage tables are obtained, and the abnormal stage table is compared and analyzed with multiple previous abnormal stage tables one by one to obtain the correlation judgment result; Wherein, the association determination result includes a stage association signal or a stage non-association signal; Abnormal start tracing module: Analyze the suspected associated groups to obtain the abnormal stage table, and analyze the abnormal stage table according to the associated judgment results to perform tracing work and determine the abnormal production start stage.

2. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 1 is characterized in that: The production information table can be obtained by: The overall production phase of prefabricated components is divided into production sub-phases through BIM technology; The sizes of the prefabricated sub-components in the production sub-stage are obtained, and they are sorted according to the time sequence of the production sub-stage to obtain a production information table.

3. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 1 is characterized in that: The method to obtain the component design drawing set is: Through the Internet of Things, the three-dimensional model of the prefabricated component created by BIM technology is split and extracted according to the time sequence of the production sub-stages in the production information table to obtain multiple component design drawings; Based on multiple component design drawings, according to the extraction time sequence of the component design drawings, the multiple component design drawings are integrated into a component design drawing set R = {r1, r2, r3, ..., r n }, where r n It represents the nth component design drawing extracted from the prefabricated component 3D model, and n represents the total number of component design drawings extracted from the prefabricated component 3D model.

4. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 1 is characterized in that: The method of obtaining the component production drawing set is as follows: Import the dimensions of prefabricated sub-components after production into Revit modeling software through IoT technology to generate component production drawings; The component production drawings corresponding to the prefabricated sub-components after production are integrated according to the sorting of the production information table to obtain the component production drawing set K = {k1, k2, k3, ..., k m }, where k m It represents the component production drawing corresponding to the prefabricated sub-component ranked mth in the production information table, and m represents the total number of component production drawings corresponding to the prefabricated sub-component in the production information table.

5. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 1 is characterized in that: Compare and analyze the component design drawing set with the component production drawing set to obtain the comparison analysis data, where the comparison analysis data includes the production quality inspection value and the production qualified quantity. The analysis process is as follows: Extract r1 from the component design drawing set R and extract k1 from the component production drawing set K respectively, construct r1 and k1 into a comparison analysis group, traverse the elements in the component design drawing set R and the component production drawing set K, and perform a construction operation in the manner of constructing a comparison analysis group with r1 and k1 to obtain multiple comparison analysis groups; Based on multiple comparison and analysis groups, select any comparison and analysis group and perform drawing comparison. The process is as follows: Select any plane in the r1 three-dimensional design drawing as a reference plane; Select a plane in the k1 3D production drawing as the comparison plane; Overlap the comparison surface and the reference surface. The process is as follows: If the comparison surface completely overlaps with the reference surface, it will be marked as a completely overlapping surface; If the comparison surface partially overlaps with the reference surface, it will be marked as a partially overlapping surface; Based on the completely overlapping surfaces, the comparison and analysis group is analyzed. If all the comparison and analysis groups are completely overlapping surfaces, they are marked as qualified production groups; Count the number of qualified production groups, and calculate the ratio of the number of qualified production groups to the total number of comparison analysis groups to obtain the qualified production number, which is marked as S c ; In the non-qualified production group, the number of local overlapping surfaces is extracted and the ratio is calculated with the total number of planes in the r1 three-dimensional design drawing to obtain the number of local overlaps; Get the area of ​​the base surface and the area of ​​the local overlapping surface, and calculate it using the Euclidean distance method Among them, rm represents the area of ​​the reference surface of the r1 three-dimensional design drawing, rm represents the area of ​​the local overlapping surface of the k1 three-dimensional design drawing, and e represents the number of reference surfaces in the r1 three-dimensional design drawing and the number of local overlapping surfaces in the k1 three-dimensional design drawing; The local overlap number is multiplied by the local deviation value to obtain the unit quality inspection value; Add the unit quality inspection values ​​corresponding to all comparison analysis groups and take the average to obtain the production quality inspection value, which is marked as D z .

6. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 5 is characterized in that: The comparison and analysis data are processed to obtain the production traceability signal. The process is as follows: The production quality inspection value D z and production qualified quantity S c Substituting into the formula: Calculate the comparison analysis value F d , where α and β are preset proportional coefficients; The comparison analysis value is compared with the comparison analysis threshold. If the comparison analysis value is less than the comparison analysis threshold, a production traceability signal is generated.

7. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 1 is characterized in that: Compare and analyze the analysis data to obtain the abnormal stage table. The process is as follows: Obtain the unit quality inspection value corresponding to the comparison analysis group, compare the unit quality inspection value with the unit quality inspection threshold, and if the unit quality inspection value is greater than or equal to the unit quality inspection threshold, mark the prefabricated sub-component production sub-stage with a large production size error as an abnormal stage; The abnormal stages are extracted and sorted and integrated according to the time series of the production sub-stages to obtain the abnormal stage table.

8. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 7 is characterized in that: The abnormal stage table is compared and analyzed with multiple previous abnormal stage tables one by one. The analysis process is as follows: In the abnormal stage table, two abnormal stages in adjacent time periods are marked as suspected associated groups, and multiple suspected associated groups are obtained; From multiple previous abnormal stage reports, randomly select a previous abnormal stage table for analysis. The process is as follows: In the previous abnormal stage table, abnormal stages at adjacent times are marked as historical association groups, thereby obtaining multiple historical association groups; A suspected association group is randomly selected from the multiple suspected association groups, and is compared with the multiple historical association groups for overlap. If the suspected association group overlaps with one of the multiple historical association groups, the suspected association group is marked as an overlapped association group. Count the number of overlapping association groups, and calculate the ratio with the total number corresponding to multiple historical association groups to obtain the number of overlapping associations; Obtain the unit quality inspection value corresponding to the abnormal stage in the historical association group, and subtract the unit quality inspection value corresponding to the abnormal stage at the front of the time series from the unit quality inspection threshold to obtain the evaluation independent variable; The unit quality inspection value corresponding to the abnormal stage at the end of the time series is subtracted from the unit quality inspection threshold value as the evaluation dependent variable; Calculate the ratio of the independent variable to the dependent variable to obtain the evaluation factor; Obtain the unit quality inspection value corresponding to the anomaly phase at the front of the time series in the coincident association group, and subtract it from the unit quality inspection threshold to obtain the analysis independent variable; Obtain the unit quality inspection value corresponding to the abnormal stage of the later time series in the coincident association group, and subtract it from the unit quality inspection threshold to obtain the analysis dependent variable; The analysis factor is obtained by calculating the ratio of the independent variable to the dependent variable.

9. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 8 is characterized in that: The method for obtaining the association determination result is as follows: Subtract the analysis factor from the evaluation factor to get the factor difference, add up all the factor differences and take the average to get the correlation degree value; The ratio of the number of overlapping associations to the association degree value is calculated to obtain the stage association value; The phase association value is compared to the phase association threshold as follows: If the stage correlation value is greater than the stage correlation threshold, a stage correlation signal is generated, and the suspected correlation group corresponding to the stage correlation signal is marked as a stage correlation group; If the stage correlation value is less than or equal to the stage correlation threshold, a stage non-correlation signal is generated, and the suspected correlation group corresponding to the stage non-correlation signal is marked as a stage non-correlation group.

10. The prefabricated component full-process traceability system based on BIM and Internet of Things technology according to claim 1 is characterized in that: The traceability process is as follows: Extract the abnormal phases that are closer in time to the suspected associated group, compare them before and after, sort them according to the time sequence, and obtain the abnormal tracing table; If all the suspected association groups in the abnormal tracing table are stage association groups, the time of the abnormal stage in the stage association group is obtained and compared, and the abnormal stage with the earlier time is marked as the associated predecessor stage; Compare the time corresponding to the previous abnormal stage in all stage association groups, and extract the first overlapping association group in the abnormal tracing table according to the time sequence, and rank the previous abnormal stage in the first overlapping association group as the abnormal production start stage to complete the production abnormality tracing work; If all suspected related groups in the abnormal tracing table are stage-independent groups, then all abnormal stages in the stage-independent groups are abnormal production start stages; If both stage-related groups and stage-independent groups exist in the exception tracing table, the following process is performed: If the ranking of the stage-related group is smaller than that of the stage-independent group, then both the abnormal stage in the stage-independent group and the abnormal stage in the stage-related group are abnormal production start stages; If the ranking of the stage-related group is greater than the ranking of the stage-independent group, the abnormal stage with an earlier time in the stage-independent group and the abnormal stage with an earlier time in the stage-related group are taken as the abnormal production start stage.

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