Intelligent pre-assembly system and method based on BIM aluminum alloy formwork

Abstract

The invention discloses an intelligent pre-assembly system and method based on a BIM aluminum alloy formwork, relates to the technical field of formwork assembly, and solves the technical problems that potential problems in the assembly process cannot be found, reasonable scheme adjustment cannot be conducted based on actual conditions, and actual assembly is affected. According to the method, simulated splicing processing of the aluminum alloy formwork is conducted through the BIM model, potential problems existing in the splicing process are found according to the splicing parameters, meanwhile, overall analysis is conducted by combining basic information of the aluminum alloy formwork for the potential problems, the abnormal splicing condition is compared with the normal splicing condition in the analysis process, and the situation that the aluminum alloy formwork is spliced is judged. The method comprises the steps that firstly, a specific abnormal reason is generated, so that follow-up corresponding construction adjustment is facilitated, secondly, analysis is conducted in combination with actual construction requirements during splicing, construction scheme adjustment is conducted according to the situation that construction interference exists, overall formwork splicing is optimized, the interference influence caused by follow-up actual construction is reduced, and construction efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of formwork assembly, and in particular to a BIM-based aluminum alloy formwork intelligent pre-assembly system and method. Background Art

[0002] The aluminum alloy formwork design system is developed based on the needs of formwork design. The establishment of the aluminum alloy formwork design system enables designers to see the three-dimensional shape of the building more intuitively, which can greatly reduce the difficulty of design, improve design efficiency and reduce the error rate.

[0003] According to the publication number CN116796405A, a virtual pre-assembly system of aluminum alloy templates based on energy conservation and emission reduction includes: a control terminal, which is the main control end of the system and is used to issue execution commands; an input module, which is used to input the specification parameters of the aluminum alloy template; a construction module, which is used to receive the specification parameters of the aluminum alloy template input in the input module, and use the specification parameters of the aluminum alloy template to construct a three-dimensional model of the aluminum alloy template; the present invention realizes the intelligent production of the three-dimensional model of the aluminum alloy template by inputting the specification parameters of the aluminum alloy template, and further completes the simulated assembly of the three-dimensional model of the aluminum alloy template by configuring the virtual space and the coordinate axis system, and then checks the internal assembly status of the three-dimensional model of the aluminum alloy template that has completed the simulated assembly by cutting, so as to finally determine whether the aluminum alloy template is suitable by the user checking the internal structure of the cut.

[0004] The above patent realizes the splicing of aluminum alloy formwork by inputting three-dimensional coordinates. However, when using some existing splicing systems, corresponding models are established and corresponding coordinates are substituted based on the models to achieve the overall splicing purpose. This method cannot discover potential problems in the splicing process, and cannot make reasonable plan adjustments based on the actual splicing situation, which further affects the construction in the subsequent actual splicing. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a smart pre-assembly system and method for aluminum alloy formwork based on BIM, which solves the problems of not being able to discover potential problems in the splicing process and not being able to make reasonable plan adjustments based on actual conditions, which affects the actual splicing.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A BIM-based aluminum alloy formwork intelligent pre-assembly system, comprising: The component information collection module is used to collect basic information of the aluminum alloy formwork components, and the basic information here includes: the size, shape and connection method corresponding to the aluminum alloy formwork, and transmits the collected basic information to the component simulation assembly analysis module; The component simulation assembly analysis module is used to perform pre-assembly simulation on the aluminum alloy template based on the basic information transmitted by the component information acquisition module, and at the same time, identify and analyze whether there are potential problems in the overall pre-assembly according to the assembly parameters in the pre-assembly simulation process, and generate corresponding identification results, wherein the identification results include: problem analysis signal and normal assembly signal, and at the same time, the problem analysis signal is transmitted to the simulation abnormality analysis module, and the normal assembly signal is transmitted to the simulation information output module; The simulation abnormality analysis module is used to process the acquired problem analysis signal, acquire the abnormal aluminum alloy formwork components, and compare the abnormal aluminum alloy formwork components with each other to determine whether there are the same abnormal conditions, and generate the same results and the non-existence of the same results. For the existence of the same results, the cause of the abnormality is further identified and output to obtain the abnormal cause information, and the non-existence of the same results is transmitted to the secondary identification and analysis module; The secondary identification and analysis module is used to analyze the non-existent identical results obtained. By comparing and analyzing the corresponding assembly parameters of normal aluminum alloy formwork components, the corresponding adjustment information is generated. At the same time, secondary adjustments are made in combination with the installation requirements of the aluminum alloy formwork and adjustment plan information is generated. The adjustment plan information is then transmitted to the simulation information output module.

[0007] The simulation information output module is used to display the acquired abnormal cause information, adjustment plan information and assembly normal signal to the corresponding simulation operator.

[0008] As a further solution of the present invention: the component simulation assembly analysis module performs pre-assembly simulation on the aluminum alloy template and generates the corresponding recognition result in the following specific manner: The basic information of the aluminum alloy formwork is obtained, and all the assembled aluminum alloy formworks are labeled as i, and i=1, 2, ..., j, where j represents the number of aluminum alloy formworks. Then, the aluminum alloy formwork i is simulated and assembled according to the assembly sequence and method in the actual construction process, and the corresponding assembly parameters are obtained, and then the obtained assembly parameters are compared and analyzed; Based on the BIM three-dimensional model, a system analysis is performed, and the aluminum alloy formwork model is integrated with the building structure model and other professional equipment models. Based on the analysis of the BIM three-dimensional model, it is determined whether there are any abnormalities in the assembly. If there are any abnormalities in the assembly, a problem analysis signal is generated. Otherwise, if there are no abnormalities in the assembly, a normal assembly signal is generated.

[0009] As a further solution of the present invention: the specific manner in which the simulated abnormality analysis module processes the acquired problem analysis signal is: The aluminum alloy template component corresponding to the problem analysis signal is obtained and recorded as an abnormal aluminum alloy template component, and is labeled as n, where n=1, 2, ..., m, where m represents the number of abnormal aluminum alloy template components. At the same time, the abnormal aluminum alloy template components are classified into the same type of components. If there are abnormal aluminum alloy templates of the same type of components, a same result is generated. Otherwise, if there are no abnormal aluminum alloy templates of the same type of components, a non-same result is generated, and the non-same result is transmitted to the secondary identification and analysis module.

[0010] As a further solution of the present invention: the specific method of simulating the abnormal analysis module to analyze the existence of the same result is: Components of the same type are obtained and labeled as a1, where a1=1, 2, ..., o, where o represents the number of components of the same type. Then, the abnormal causes corresponding to the components of the same type a1 are obtained to determine whether the abnormal causes corresponding to the components of the same type are the same. If they are the same, an abnormal cause same signal is generated, and abnormal cause information is generated, and the abnormal cause information is transmitted to the simulation information output module. Otherwise, if the abnormal causes corresponding to the components of the same type are different, the components of the same type are further analyzed, and a signal to be analyzed is generated and processed.

[0011] As a further solution of the present invention: the specific method of simulating the abnormal analysis module to process the signal to be analyzed is: Obtain components of the same type, and obtain normal aluminum alloy formwork components corresponding to the components of the same type, and then compare assembly parameters of the components of the same type with those of the normal aluminum alloy formwork components. If the assembly parameters of the two components are the same, it indicates that the aluminum alloy formwork component is abnormal, and generates abnormal reason information; If the assembly parameters of the two are different, the assembly parameters of the normal aluminum alloy formwork components are used as the standard for adjustment, and at the same time, abnormal reason information is generated, and the generated specific reason information is transmitted to the simulation information output module.

[0012] As a further solution of the present invention: the specific method in which the secondary recognition and analysis module analyzes the obtained non-identical results is: The assembly parameters of all normal aluminum alloy formwork components are obtained, and the preprocessing parameters are screened based on the assembly parameters of abnormal aluminum alloy formwork components that do not have the same results as those obtained. Meanwhile, the corresponding aluminum alloy formwork installation requirements are obtained, and the preprocessing parameters are screened again in combination with the installation requirements to obtain adjustment parameters. Subsequently, the corresponding adjustment scheme is generated based on the adjustment parameters, and the adjustment scheme information is generated, and the adjustment scheme information is transmitted to the simulation information output module.

[0013] Based on the BIM aluminum alloy formwork intelligent pre-assembly method, the method specifically includes the following steps: Step 1: Collect basic information of aluminum alloy formwork components, perform assembly simulation on the aluminum alloy formwork to identify potential problems and generate identification results, where the identification results include problem analysis signals and assembly normal signals; Step 2: Process the problem analysis signal in the recognition result, compare the abnormal aluminum alloy formwork components with each other to determine whether there are the same abnormal conditions, and generate the same results and the same results, and analyze the same results to obtain the abnormal cause information; Step 3: Analyze the generated non-identical results, compare and analyze the assembly parameters corresponding to the normal aluminum alloy formwork components, generate corresponding adjustment information, and make secondary adjustments based on the installation requirements of the aluminum alloy formwork and generate adjustment plan information; Step 4: Transmit the obtained adjustment plan information, abnormal cause information and assembly normal signal to the corresponding simulation personnel.

[0014] The present invention provides a BIM-based aluminum alloy formwork intelligent pre-assembly system and method. Compared with the prior art, it has the following beneficial effects: The present invention uses the BIM model to simulate the assembly of aluminum alloy formworks, and discovers potential problems in the assembly process according to assembly parameters. At the same time, an overall analysis is performed on the potential problems in combination with the basic information of the aluminum alloy formwork. During the analysis, the abnormal assembly situation is compared with the normal assembly situation to generate specific abnormal reasons, thereby facilitating subsequent corresponding construction adjustments. Secondly, during the assembly, the actual construction needs are combined for analysis, and the construction plan is adjusted for situations where construction interference exists, so as to optimize the overall formwork assembly, reduce the interference caused by subsequent actual construction, and improve construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a block diagram of the system principle of the present invention; Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] For example, see Figure 1The present application provides an intelligent pre-assembly system for aluminum alloy formwork based on BIM, including a construction information acquisition module, a construction simulation assembly analysis module, a simulation anomaly analysis module, a secondary identification analysis module and a simulation information output module, and the construction information acquisition module, the construction simulation assembly analysis module and the simulation anomaly analysis module are unidirectionally electrically connected, and at the same time, the input nodes of the simulation anomaly analysis module, the secondary identification analysis module and the simulation information output module are electrically connected.

[0018] Component information collection module, this module is used to collect the basic information of aluminum alloy formwork components, and the basic information here includes: the size, shape and connection method of the aluminum alloy formwork. The BIM software is used to perform three-dimensional design of the aluminum alloy formwork, intuitively display the shape, size and connection method of the formwork, and transmit the collected basic information to the component simulation assembly analysis module.

[0019] The component simulation assembly analysis module is used to perform pre-assembly simulation on the aluminum alloy formwork according to the basic information obtained, and at the same time, identify and analyze whether there are potential problems in the overall pre-assembly according to the assembly parameters in the pre-assembly simulation process, and generate corresponding recognition results, wherein the recognition results include: problem analysis signal and normal assembly signal. At the same time, the problem analysis signal is transmitted to the simulation abnormality analysis module, and the normal assembly signal is transmitted to the simulation information output module. The specific method of generating the recognition result is: The basic information of aluminum alloy formwork is obtained, and all assembled aluminum alloy formworks are labeled as i, and i=1, 2, ..., j, where j represents the number of aluminum alloy formworks. Then, the aluminum alloy formwork i is simulated and assembled according to the assembly order and method in the actual construction process, and the corresponding assembly parameters are obtained. The assembly parameters include parameters such as splicing accuracy, verticality, flatness, and the firmness of the connection nodes. Assuming that a construction project needs to use aluminum alloy formwork for construction, and there are 50 aluminum alloy formworks after statistics, then "j" is equal to 50. First, the first formwork is labeled as "i=1", and so on, and the last formwork is labeled as "i=50". In the process of simulated assembly, according to the actual construction order, the formwork labeled "i=1" is first placed at the predetermined position, and then spliced ​​with the formwork labeled "i=2" according to its connection method, and the assembly parameters in the splicing process are recorded, such as the size of the splicing gap between the two formworks, the overall flatness after splicing, etc. Then, the simulated assembly of subsequent templates is continued in the same way, and the corresponding assembly parameters are continuously obtained and recorded. Then, the obtained assembly parameters are compared and analyzed. The items for comparing the assembly parameters here are: assembly size deviation, template deformation problem, connection problem and support system problem. In the process of comparative analysis, a system analysis is performed through the BIM three-dimensional model, and the aluminum alloy template model is integrated with the building structure model and other professional equipment models. Based on the analysis of the BIM three-dimensional model, it is judged whether there is any abnormality in the assembly. If there is any abnormality in the assembly, a problem analysis signal is generated. Otherwise, if there is no abnormality in the assembly, a normal assembly signal is generated. The normal assembly signal generated here includes the corresponding assembly parameters and assembly methods, which are transmitted to the simulation information output module after being sorted.

[0020] For example, when simulating assembly, by comparing the connecting parts in the assembly parameters, it was found that the connection was unstable, the strength of the pins and pins was insufficient, and they might break during the construction process; the tightening force of the tension bolts was insufficient, which might cause the gap between the formworks to be too large, affecting the molding quality of the concrete.

[0021] The simulation abnormality analysis module is used to process the acquired problem analysis signal, acquire the abnormal aluminum alloy formwork components, and compare the abnormal aluminum alloy formwork components with each other to determine whether there are the same abnormal conditions, and generate the same results and the same results. For the same results, the abnormal cause is further identified and output to obtain the abnormal cause information, and the non-same results are transmitted to the secondary identification and analysis module. The specific method of generating the abnormal cause information is as follows: The aluminum alloy template component corresponding to the problem analysis signal is obtained and recorded as an abnormal aluminum alloy template component, and is labeled as n, and n=1, 2, ..., m, where m represents the number of abnormal aluminum alloy template components. At the same time, the abnormal aluminum alloy template components are classified as components of the same type. If there are abnormal aluminum alloy templates of the same type of components, a same result is generated. Conversely, if there are no abnormal aluminum alloy templates of the same type of components, a non-same result is generated. It is specifically represented here as judging whether there are abnormal aluminum alloy template components with the same size and shape, and transmitting the non-same result to the secondary identification and analysis module. For example, the number of abnormal aluminum alloy template components is two, and the sizes corresponding to the two abnormal aluminum alloy templates are different. After classification and comparison, a non-same result is generated. For another example, the number of abnormal aluminum alloy template components is three, and two of the abnormal aluminum alloy template components have the same size and the other is different, then the two abnormal aluminum alloy template components with the same size are classified as the same type, and the same result is generated.

[0022] The generated identical results are analyzed, and the same type of components are obtained and labeled as a1, and a1=1, 2, ..., o, where o represents the number of the same type of components. Then, the abnormal causes corresponding to the same type of components a1 are obtained to determine whether the abnormal causes corresponding to the same type of components are the same. If they are the same, a signal indicating the same abnormal cause is generated, and abnormal cause information is generated, and the abnormal cause information is transmitted to the simulation information output module. Otherwise, if the abnormal causes corresponding to the same type of components are different, the same type of components are further analyzed, and the signals to be analyzed are generated. For example, the number of the same type of components is two, and the two same type of components correspond to problems with the connectors. Based on this situation, it means that the abnormal causes are the same, and the abnormal connector is further used as the abnormal cause and output at the same time. For another example, the number of the same type of components is three, and the corresponding ones are connection problems, excessive support spacing problems, and template deformation problems. Based on this situation, it means that the abnormal causes are different and further analysis is required.

[0023] Then, the generated signal to be analyzed is processed to obtain components of the same type, and normal aluminum alloy formwork components corresponding to the components of the same type are obtained. The normal aluminum alloy formwork components here represent components with the same size and shape as the current abnormal components, and there is no assembly abnormality in the components. Then, the assembly parameters of the components of the same type are compared with those of the normal aluminum alloy formwork components. If the assembly parameters of the two are the same, it means that the aluminum alloy formwork component is abnormal, and abnormal cause information is generated, and the abnormal cause information generated here is represented as specific aluminum alloy formwork component information. If the assembly parameters of the two are different, the assembly parameters of the normal aluminum alloy formwork components are used as the standard for adjustment, and abnormal cause information is generated at the same time. The abnormal cause information generated here represents the corresponding assembly parameter information, such as changing the connection method, reducing the column spacing, etc., and the generated specific cause information is transmitted to the simulation information output module.

[0024] A simulation information output module is used to display the acquired abnormal cause information to the corresponding simulation operator.

[0025] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that.

[0026] The secondary identification and analysis module is used to analyze the obtained non-identical results, generate corresponding adjustment information by comparing and analyzing the assembly parameters corresponding to the normal aluminum alloy formwork components, and perform secondary adjustments and generate adjustment plan information in combination with the installation requirements of the aluminum alloy formwork. The adjustment plan information is then transmitted to the simulation information output module, and the specific method of generating the adjustment plan information is as follows: The assembly parameters of all normal aluminum alloy formwork components are obtained, and what is obtained here are aluminum alloy formworks of all sizes and shapes, and the pre-processing parameters are screened based on the assembly parameters of abnormal aluminum alloy formwork components that do not have the same results, and the corresponding aluminum alloy formwork installation requirements are obtained at the same time. The installation requirements here indicate that when assembling different components, it is necessary to conduct assembly analysis in combination with the actual situation. For example, the socket position in some areas conflicts with the support system of the aluminum alloy formwork, or the installed ventilation duct conflicts with the planned installation position of the aluminum alloy formwork, etc., and the pre-processing parameters are screened again in combination with the installation requirements to obtain adjustment parameters, and then the corresponding adjustment plan is generated based on the adjustment parameters, and the adjustment plan information is generated, and the adjustment plan information is transmitted to the simulation information output module.

[0027] For example: In a construction project, the parameters of the aluminum alloy formwork were obtained and analyzed. By collecting the assembly parameters of normal formwork components, some abnormalities were found. For example, the size of some formworks deviated slightly from the design requirements, or the strength of the connection parts was not stable enough. After screening the parameters of abnormal formwork components, the pre-processing parameters were obtained. At the same time, it was found in the actual survey that the location of electrical sockets in some areas was too close to the aluminum alloy formwork support system being installed, which may affect the subsequent construction and use safety. Combined with these installation requirements, the pre-processing parameters were screened again to determine the adjustment parameters. For example, adjust the installation position of the formwork or replace the design of the support system. Based on these adjustment parameters, a specific adjustment plan is generated, such as moving part of the formwork to the left by a certain distance, or increasing the strength of the support system.

[0028] A simulation information output module is used to display the acquired adjustment plan information to the corresponding simulation personnel.

[0029] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0030] Example 4, please refer to Figure 2 , based on the BIM aluminum alloy formwork intelligent pre-assembly method, the method specifically includes the following steps: Step 1: Collect basic information of aluminum alloy formwork components, perform assembly simulation on the aluminum alloy formwork to identify potential problems and generate identification results, wherein the identification results include problem analysis signals and assembly normal signals, and the processing method here is the same as the specific processing method of the component simulation assembly analysis module in Example 1; Step 2: Process the problem analysis signal in the recognition result, compare the abnormal aluminum alloy formwork components with each other to determine whether there is the same abnormal situation, and generate the same result and the same result. At the same time, analyze the same result to obtain the abnormal cause information, and the processing method here is the same as the processing method of the simulation abnormal analysis module in Example 1; Step 3: Analyze the generated non-identical results, compare and analyze the assembly parameters corresponding to the normal aluminum alloy formwork components, generate corresponding adjustment information, and make secondary adjustments in combination with the installation requirements of the aluminum alloy formwork and generate adjustment plan information. The processing method here is the same as the specific processing method of the secondary identification and analysis module in Example 2; Step 4: Transmit the obtained adjustment plan information, abnormal cause information and assembly normal signal to the corresponding simulation personnel.

[0031] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0032] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Based on BIM aluminum alloy formwork intelligent pre-assembly system, it is characterized by: include: The component simulation assembly analysis module is used to perform pre-assembly simulation on the aluminum alloy template based on the basic information transmitted by the component information acquisition module, and at the same time, identify and analyze whether there are potential problems in the overall pre-assembly according to the assembly parameters in the pre-assembly simulation process, and generate corresponding identification results, wherein the identification results include: problem analysis signal and normal assembly signal, and at the same time, the problem analysis signal is transmitted to the simulation abnormality analysis module, and the normal assembly signal is transmitted to the simulation information output module; The simulation abnormality analysis module is used to process the acquired problem analysis signal, acquire the abnormal aluminum alloy formwork components, and compare the abnormal aluminum alloy formwork components with each other to determine whether there are the same abnormal conditions, and generate the same results and the non-existence of the same results. For the existence of the same results, the cause of the abnormality is further identified and output to obtain the abnormal cause information, and the non-existence of the same results is transmitted to the secondary identification and analysis module; The secondary identification and analysis module is used to analyze the non-existent identical results obtained. By comparing and analyzing the corresponding assembly parameters of normal aluminum alloy formwork components, the corresponding adjustment information is generated. At the same time, secondary adjustments are made in combination with the installation requirements of the aluminum alloy formwork and adjustment plan information is generated. The adjustment plan information is then transmitted to the simulation information output module.

2. The intelligent pre-assembly system of aluminum alloy formwork based on BIM according to claim 1 is characterized in that: It also includes a component information acquisition module and a simulation information output module; The component information collection module is used to collect basic information of the aluminum alloy formwork components, and the basic information here includes: the size, shape and connection method corresponding to the aluminum alloy formwork, and transmits the collected basic information to the component simulation assembly analysis module; The simulation information output module is used to display the acquired abnormal cause information, adjustment plan information and assembly normal signal to the corresponding simulation operator.

3. The BIM-based aluminum alloy formwork intelligent pre-assembly system according to claim 1 is characterized in that: The component simulation assembly analysis module performs pre-assembly simulation on the aluminum alloy template and generates the corresponding recognition result in the following specific manner: The basic information of the aluminum alloy formwork is obtained, and all the assembled aluminum alloy formworks are labeled as i, and i=1, 2, ..., j, where j represents the number of aluminum alloy formworks. Then, the aluminum alloy formwork i is simulated and assembled according to the assembly sequence and method in the actual construction process, and the corresponding assembly parameters are obtained, and then the obtained assembly parameters are compared and analyzed; Based on the BIM three-dimensional model, a system analysis is performed, and the aluminum alloy formwork model is integrated with the building structure model and other professional equipment models. Based on the analysis of the BIM three-dimensional model, it is determined whether there are any abnormalities in the assembly. If there are any abnormalities in the assembly, a problem analysis signal is generated. Otherwise, if there are no abnormalities in the assembly, a normal assembly signal is generated.

4. The intelligent pre-assembly system of aluminum alloy formwork based on BIM according to claim 1 is characterized in that: The specific method in which the simulated abnormality analysis module processes the acquired problem analysis signal is as follows: The aluminum alloy template component corresponding to the problem analysis signal is obtained and recorded as an abnormal aluminum alloy template component, and is labeled as n, where n=1, 2, ..., m, where m represents the number of abnormal aluminum alloy template components. At the same time, the abnormal aluminum alloy template components are classified into the same type of components. If there are abnormal aluminum alloy templates of the same type of components, a same result is generated. Otherwise, if there are no abnormal aluminum alloy templates of the same type of components, a non-same result is generated, and the non-same result is transmitted to the secondary identification and analysis module.

5. The BIM-based aluminum alloy formwork intelligent pre-assembly system according to claim 4 is characterized in that: The specific method of analyzing the same results by the simulation anomaly analysis module is as follows: Components of the same type are obtained and labeled as a1, where a1=1, 2, ..., o, where o represents the number of components of the same type. Then, the abnormal causes corresponding to the components of the same type a1 are obtained to determine whether the abnormal causes corresponding to the components of the same type are the same. If they are the same, an abnormal cause same signal is generated, and abnormal cause information is generated, and the abnormal cause information is transmitted to the simulation information output module. Otherwise, if the abnormal causes corresponding to the components of the same type are different, the components of the same type are further analyzed, and a signal to be analyzed is generated and processed.

6. The intelligent pre-assembly system of aluminum alloy formwork based on BIM according to claim 5 is characterized in that: The specific way in which the analog abnormality analysis module processes the signal to be analyzed is as follows: Obtain components of the same type, and obtain normal aluminum alloy formwork components corresponding to the components of the same type, and then compare assembly parameters of the components of the same type with those of the normal aluminum alloy formwork components. If the assembly parameters of the two components are the same, it indicates that the aluminum alloy formwork component is abnormal, and generates abnormal reason information; If the assembly parameters of the two are different, the assembly parameters of the normal aluminum alloy formwork components are used as the standard for adjustment, and at the same time, abnormal reason information is generated, and the generated specific reason information is transmitted to the simulation information output module.

7. The intelligent pre-assembly system of aluminum alloy formwork based on BIM according to claim 1 is characterized in that: The specific method in which the secondary recognition and analysis module analyzes the obtained non-identical results is: The assembly parameters of all normal aluminum alloy formwork components are obtained, and the preprocessing parameters are screened based on the assembly parameters of abnormal aluminum alloy formwork components that do not have the same results as those obtained. Meanwhile, the corresponding aluminum alloy formwork installation requirements are obtained, and the preprocessing parameters are screened again in combination with the installation requirements to obtain adjustment parameters. Subsequently, the corresponding adjustment scheme is generated based on the adjustment parameters, and the adjustment scheme information is generated, and the adjustment scheme information is transmitted to the simulation information output module.

8. A method for intelligent pre-assembly of aluminum alloy formwork based on BIM, used to implement the intelligent pre-assembly system for aluminum alloy formwork based on BIM according to any one of claims 1 to 7, characterized in that: The method specifically comprises the following steps: Step 1: Collect basic information of aluminum alloy formwork components, perform assembly simulation on the aluminum alloy formwork to identify potential problems and generate identification results, where the identification results include problem analysis signals and assembly normal signals; Step 2: Process the problem analysis signal in the recognition result, compare the abnormal aluminum alloy formwork components with each other to determine whether there are the same abnormal conditions, and generate the same results and the same results, and analyze the same results to obtain the abnormal cause information; Step 3: Analyze the generated non-identical results, compare and analyze the corresponding assembly parameters of normal aluminum alloy formwork components, generate corresponding adjustment information, and make secondary adjustments based on the installation requirements of the aluminum alloy formwork and generate adjustment plan information; Step 4: Transmit the obtained adjustment plan information, abnormal cause information and assembly normal signal to the corresponding simulation personnel.

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