A high-support formwork construction safety and quality control method and system

Abstract

The present invention discloses a method and system for safety and quality control of high-support formwork construction, which relates to the field of construction engineering. The method includes: pre-building an information filter; interactively obtaining target structure design information, performing information screening, and obtaining target structure restoration information; performing steel pipe erection restoration of the high-support formwork to obtain a target high-support formwork layout model; pre-setting model division constraints, performing block processing on the target high-support formwork layout model, and obtaining a block model set; pre-setting block call constraints, performing random calls on block architecture models in the block model set, and obtaining K block architecture models; performing building entity mapping calls to obtain K block architecture entities; performing reducibility evaluation to obtain K reducibility indexes; and generating construction quality evaluation results based on the K reducibility indexes. The technical problem of low construction control efficiency in the prior art is solved, and the technical effect of effective control of the safety and quality of the high-support formwork construction process is achieved.

Description

Technical Field

[0001] The present invention relates to the field of construction engineering, and in particular to a method and system for controlling the safety and quality of high-support formwork construction. Background Art

[0002] High formwork is a general term for the erection of steel pipes and formwork engineering construction in large frame structures with a building height of 5m or more. With the continuous development of construction engineering, the application of high formwork construction technology has become more and more extensive, however, its safety risks and quality requirements have also increased accordingly. Traditional construction management methods are difficult to meet the safety and quality requirements of high formwork construction. For example, manual monitoring and inspection methods are not only inefficient, but also difficult to detect some potential safety hazards and quality problems. In addition, traditional construction management methods lack data recording and analysis of the construction process, making it difficult to achieve traceability of the construction process. Therefore, the research on methods and systems for safety and quality control of high formwork construction has important practical significance. How to effectively improve the safety and quality level of high formwork construction has become an urgent problem to be solved in the field of construction engineering. Summary of the invention

[0003] The embodiments of the present application provide a method and system for high-formwork construction safety and quality control, which solves the technical problem of low construction control efficiency in the prior art.

[0004] In view of the above problems, an embodiment of the present application provides a method and system for safety and quality control of high-support formwork construction.

[0005] A first aspect of an embodiment of the present application provides a method for safety and quality control of high-rise formwork construction, the method comprising:

[0006] Pre-building an information filter, wherein the information filter stores a plurality of design information indicators;

[0007] interactively obtaining target structure design information, and performing information screening of the target structure design information based on the information screener to obtain target structure restoration information;

[0008] Based on the target structure restoration information, the steel pipe erection of the high formwork is restored to obtain a target high formwork layout model;

[0009] Preset a model partition constraint, and perform block processing on the target high-support formwork layout model based on the model partition constraint to obtain a block model set, wherein the block model set includes M block architecture models, and the M block architecture models have M block position identifiers, where M is a positive integer;

[0010] Preset a block call constraint, and randomly call a block architecture model in the block model set based on the block call constraint to obtain K block architecture models, wherein a spatial distance between any two block architecture models in the K block architecture models satisfies the block call constraint, and K is a positive integer less than M;

[0011] Performing building entity mapping call according to the K block architecture models to obtain K block architecture entities;

[0012] Performing a reducibility evaluation on the K block architecture entities based on the K block architecture models to obtain K reducibility indexes;

[0013] Based on the K reducibility indexes, a construction quality evaluation result is generated.

[0014] A second aspect of the embodiment of the present application provides a high-formwork construction safety and quality control system, the system comprising:

[0015] A construction module, the construction module is used to pre-construct an information filter, wherein the information filter stores a plurality of design information indicators;

[0016] A screening module, the screening module is used to interactively obtain target structure design information, and perform information screening of the target structure design information based on the information filter to obtain target structure restoration information;

[0017] A restoration module, the restoration module is used to restore the steel pipe erection of the high-support formwork based on the target structure restoration information to obtain a target high-support formwork layout model;

[0018] A constraint module, the constraint module is used to preset model partition constraints, and based on the model partition constraints, the target high-support formwork layout model is subjected to block processing to obtain a block model set, wherein the block model set includes M block architecture models, the M block architecture models have M block position identifiers, and M is a positive integer;

[0019] A calling module, the calling module is used to preset a block calling constraint, and based on the block calling constraint, randomly call a block architecture model in the block model set to obtain K block architecture models, wherein the spatial distance between any two block architecture models in the K block architecture models satisfies the block calling constraint, and K is a positive integer less than M;

[0020] A mapping module, the mapping module is used to perform building entity mapping call according to the K block architecture models to obtain K block architecture entities;

[0021] An evaluation module, the evaluation module is used to perform a reducibility evaluation on the K block architecture entities based on the K block architecture models to obtain K reducibility indexes;

[0022] A result module is used to generate a construction quality evaluation result based on the K reducibility indexes.

[0023] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0024] An information filter is pre-built, which stores multiple design information indicators. In the interactive link, the design information of the target structure is first obtained, and then the target structure design information is filtered using the information filter to obtain the target structure restoration information. Based on the target structure restoration information, the steel pipe erection restoration of the high-support formwork is performed to obtain the target high-support formwork layout model. In order to further optimize the model, the model partitioning constraint is preset, and the target high-support formwork layout model is block-processed based on this constraint to obtain a block model set. This block model set includes M block architecture models, each of which has a unique block location identifier. M is a positive integer representing the number of block architecture models. Afterwards, a block call constraint is preset, and a random call is made in the block model set based on this constraint to obtain K block architecture models. Here, K is a positive integer less than M, representing the number of block architecture models that are finally called. In particular, the spatial distance between any two block architecture models in these K block architecture models satisfies the block call constraint. Then, the building entity mapping call is performed according to the K block architecture models, thereby obtaining K block architecture entities. Based on the K block architecture models, the K block architecture entities are evaluated for reducibility, thereby obtaining K reducibility indexes. Finally, the construction quality evaluation result is generated based on the K reducibility indexes. The technical problem of low construction control efficiency in the prior art is solved, and the technical effect of effective control of the safety and quality of the high-support formwork construction process is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A schematic diagram of a high-support formwork construction safety and quality control method provided in an embodiment of the present application;

[0027] Figure 2A schematic diagram of the structure of a high-formwork construction safety and quality control system provided in an embodiment of the present application.

[0028] Explanation of the reference numerals: construction module 11, screening module 12, restoration module 13, constraint module 14, calling module 15, mapping module 16, evaluation module 17, result module 18. DETAILED DESCRIPTION

[0029] The embodiments of the present application solve the technical problem of low construction control efficiency in the prior art by providing a method and system for high-support formwork construction safety and quality control.

[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0031] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment 1

[0033] like Figure 1 As shown, the embodiment of the present application provides a method for safety and quality control of high-support formwork construction, wherein the method includes:

[0034] Pre-building an information filter, wherein the information filter stores a plurality of design information indicators;

[0035] High formwork construction is an important construction technology in construction projects, and its safety and quality are directly related to the structural safety and stability of the entire project. However, high formwork construction faces many challenges and difficulties. First, with the increasing height and span of construction projects, the difficulty and safety risks of high formwork construction also increase. Secondly, the quality requirements in the high formwork construction process are very strict. Once quality problems occur, it will have a serious impact on the structural safety and stability of the entire project. In addition, high formwork construction involves multiple types of work and links, and requires the coordination and management of resources and manpower from all aspects, making construction management difficult. To this end, a high formwork construction safety and quality control method is proposed to achieve effective control of the safety and quality of the high formwork construction process.

[0036] The information filter is mainly used to store multiple design information indicators. Design information indicators may include but are not limited to information such as structure type, material type, dimensional parameters, structural strength, etc., which can provide necessary reference and guidance for high formwork construction. Build an information filter, specifically, collect and organize various types of design information indicators, which come from historical project data, design specifications, expert experience, etc. The collected design information indicators are stored in the information filter, and a suitable storage method can be selected, such as database, data file, knowledge graph, etc., to facilitate subsequent query and use. Establish appropriate data structures and algorithms to filter and process the stored design information indicators when necessary. By pre-building information filters, various types of design information indicators can be effectively stored and filtered to provide necessary reference and guidance for high formwork construction, thereby improving the safety and quality level of construction.

[0037] Further, an information filter is pre-built, wherein the information filter stores a plurality of design information indicators, and the method further comprises:

[0038] Interactively obtain multiple groups of sample modeling data for multiple sample high-support formwork models;

[0039] Extracting data types from the multiple groups of sample modeling data to obtain multiple groups of sample data types;

[0040] Performing index clustering on the multiple groups of sample data types to obtain multiple sample design indicators, wherein each sample design indicator has a call frequency identifier;

[0041] Presetting a call frequency threshold, and screening the plurality of sample design indicators based on the call frequency threshold, to obtain the plurality of design information indicators whose call frequency identifiers satisfy the call frequency threshold;

[0042] The plurality of design information indicators are pre-stored in the information filter to complete the construction of the information filter.

[0043] By interacting with construction personnel, multiple groups of sample modeling data of multiple sample high-support formwork models can be collected. The specific collection method can be determined according to the actual situation, such as obtaining through field measurements, construction records, historical data, etc. Sample modeling data refers to sample data collected or generated from actual engineering projects, which is used to build models to predict or analyze indicators of performance, safety, quality, etc. of engineering projects, including information such as structure type, material type, dimensional parameters, structural strength, etc., and is used to simulate or analyze the process and results of high-support formwork construction. Data statistics are performed on multiple groups of sample modeling data to understand what types of data are contained in each group of data, such as structure type, material type, dimensional parameters, structural strength, etc. According to the results of data statistics, different types of data contained in each group of data can be identified, for example, the structure type can be divided into beams, columns, plates, etc. The identified different types of data are classified, for example, the structure type can be divided into support type, fixed type, cantilever type, etc. According to the classification results, the corresponding type of data is extracted from each group of sample modeling data, such as extracting the data of the support beam from the support type structure. The extracted sample data is sorted for subsequent analysis and processing.

[0044] Select a suitable clustering algorithm to cluster indicators for multiple groups of sample data types. Common clustering algorithms include K-means clustering, hierarchical clustering, density clustering, etc. You can choose a suitable clustering algorithm based on actual needs and project characteristics. Before clustering, multiple groups of sample data need to be preprocessed. This includes steps such as data cleaning, standardization, and normalization to remove outliers, missing values, and redundant data, and convert the data into a suitable standard. Extract relevant features and indicators from the preprocessed multiple groups of sample data. These features may include structural type, material type, dimensional parameters, structural strength, etc. Input the extracted features and indicators into the clustering algorithm for clustering analysis. Depending on the clustering algorithm, you can select appropriate parameters and settings, such as the number of clusters in K-means clustering, distance measurement method, etc. Based on the results of clustering analysis, cluster multiple sample design indicators into different clusters. Each cluster can represent a design indicator or design style. After obtaining the clustering results of the sample design indicators, you can count the number of times each design indicator is used in all sample modeling data, that is, the call frequency. This can be achieved through data statistics or machine learning methods. Each sample design indicator and its corresponding calling frequency are stored in the information filter for subsequent use.

[0045] According to actual needs and project characteristics, set an appropriate call frequency threshold. The threshold can be a fixed value or a dynamic value determined according to the specific situation of the project. The call frequency threshold is used to screen out design indicators with higher call frequencies. After obtaining multiple sample design indicators and their call frequency identifiers, the call frequency of each design indicator is counted. This can be achieved through data statistics or machine learning methods. All sample design indicators are screened according to the preset call frequency threshold. Only those design indicators whose call frequency meets the threshold requirements will be retained.

[0046] Pre-storing the filtered multiple design information indicators in the information filter can be achieved by data import, data writing, etc. During the pre-storage process, the accuracy and completeness of the data need to be ensured to avoid errors or exceptions in subsequent use.

[0047] interactively obtaining target structure design information, and performing information screening of the target structure design information based on the information screener to obtain target structure restoration information;

[0048] Through interaction with designers or engineers, the design information of the target structure can be obtained, including structure type, material type, dimensional parameters, structural strength, etc. The specific information depends on the actual project requirements and design decisions. The obtained target structure design information is input into the constructed information filter. The information filter already contains multiple sample design indicators and their call frequency identifiers, so the input target structure design information can be filtered and analyzed based on these sample data and call frequency thresholds. The information filter analyzes and filters the input target structure design information according to the preset call frequency threshold and other rules. This includes comparing sample design indicators and their call frequency, as well as filtering and filtering according to other rules and conditions. Through the analysis and filtering of the information filter, the target structure restoration information can be obtained. The target structure restoration information includes design indicators that meet specific conditions and requirements, recommended optimization solutions, etc., which are used to guide subsequent structural design and construction work.

[0049] Based on the target structure restoration information, the steel pipe erection of the high formwork is restored to obtain a target high formwork layout model;

[0050] According to the target structure restoration information, prepare the required steel pipes, fasteners, supports and other materials and equipment. At the same time, prepare construction tools and safety facilities to ensure the safety and quality of the construction process. According to the size parameters and positioning requirements in the target structure restoration information, measure and locate the construction site, including determining the position, height, angle and other parameters of the steel pipe erection to ensure the accuracy and stability of the high formwork layout. According to the results of measurement and positioning, start the steel pipe erection. Support and fix the steel pipes in the predetermined position as required, and ensure the stability and safety of the support. After the steel pipes are erected, use fasteners to connect the steel pipes and ensure the firmness and stability of the connection. The selection and use of fasteners should comply with relevant standards and requirements to ensure the reliability and safety of the high formwork layout. After the fastener connection is completed, support and fix. Use support rods and fixings to connect the high formwork to the ground or other structures to increase the stability and load-bearing capacity of the support. During the support and fixation process, attention should be paid to the angle, height and load-bearing capacity of the support to ensure the safety and reliability of the high formwork layout. After the support and fixation are completed, check and adjust the high formwork layout. Check the stability, load-bearing capacity and safety of the high formwork, and adjust and correct the parts that do not meet the requirements. After inspection and adjustment, the target high formwork layout model is finally built. The target high formwork layout model can be used as a reference and guide for actual construction, which helps to improve the quality and safety of construction.

[0051] Furthermore, based on the target structure restoration information, the steel pipe erection restoration of the high formwork is performed to obtain the target high formwork layout model, and the method further includes:

[0052] interactively determine the real-time modeling progress, and perform secondary screening on the target structure restoration information based on the real-time modeling progress to obtain the real-time structure restoration information;

[0053] Disassembling the real-time structure restoration information based on the architecture layout steps to obtain multiple step restoration information;

[0054] Based on the restoration information of the multiple steps, the steel pipe erection of the high formwork is restored to obtain the target high formwork layout model.

[0055] During the modeling process, interact with designers or engineers to determine the real-time modeling progress, including confirmation of the current modeling status, feedback and adjustment of the modeling progress, etc. Through real-time interaction, the modeling process can be ensured to be consistent with the actual needs and construction progress. According to the real-time modeling progress, the target structure restoration information is screened at a secondary level, including screening of specific steps or areas, screening of specific materials or equipment, etc. Through the secondary screening, the real-time structure restoration information related to the current modeling progress can be obtained. The real-time structure restoration information is disassembled according to the architecture layout steps to obtain multiple step restoration information, including the disassembly of different types of structures such as supporting structures, fixed structures, cantilever structures, and disassembly of different construction areas. Through disassembly, the real-time structure restoration information can be better understood and analyzed. According to the multiple step restoration information, the steel pipe erection of the high formwork is gradually restored, including the restoration of the steel pipe erection, fastener connection, support fixation and other operations in each step. Through step-by-step restoration, the various components of the target high formwork layout model can be obtained. After step-by-step restoration, the target high formwork layout model is finally obtained. This model can be used as a reference and guidance for actual construction, which helps to improve the quality and safety of construction.

[0056] Furthermore, based on the restoration information of the multiple steps, the steel pipe erection restoration of the high formwork is performed to obtain the target high formwork layout model, and the method further includes:

[0057] Performing a time-sequential call on the multiple step restoration information to obtain the first step restoration information;

[0058] Based on the information restored in the first step, the support point positions are called to obtain a first support point position set;

[0059] Based on the information restored in the first step, steel pipe size call is performed to obtain a first steel pipe size set;

[0060] Perform modeling restoration based on the first support point position set, perform modeling filling based on the first steel pipe size set, and obtain a first high formwork layout model;

[0061] Performing a time-sequential call on the multiple step restoration information to obtain second step restoration information;

[0062] By analogy, based on the second step, the model is restored and called to obtain a second support point position set and a second steel pipe size set;

[0063] Taking the first high formwork layout model as a construction basis, the second support point position set and the second steel pipe size set are used for modeling and filling to obtain a second high formwork layout model;

[0064] By analogy, the steel pipe erection of the high formwork is restored based on the restoration information of the multiple steps to obtain the target high formwork layout model.

[0065] First, the restoration information of multiple steps is called in sequence to obtain the restoration information of each step. The restoration information includes the disassembly of different types of structures such as supporting structures, fixed structures, cantilever structures, etc., the disassembly of different construction areas, etc., as well as the relevant parameters and technical requirements of each step. The restoration information of the first step is used to call the support point position to obtain the first support point position set. The support point position is the position information of the support point, fixed point, etc. that need to be set in this step. The steel pipe size is called using the restoration information of the first step to obtain the first steel pipe size set. These steel pipe sizes are the size information such as the diameter, length, and wall thickness of the steel pipe that needs to be used in this step. The first support point position set is used for modeling and restoration to obtain the supporting structure and fixed structure of the first high formwork layout model, including the placement of support rods and the installation of fixings. The first steel pipe size set is used for modeling and filling to obtain the shape and size of the steel pipe in the first high formwork layout model, including the placement of steel pipes on support points and the connection of steel pipes with other structures. The restoration information of multiple steps is called in sequence, and the above steps are repeated to obtain the high formwork layout model of each step. Each time you repeat, you can use the model of the previous step as the basis for construction, and fill in the modeling by updating the support point position set and the steel pipe size set to gradually build the high formwork layout model. By repeating the above steps, you will eventually get the target high formwork layout model.

[0066] Preset a model partition constraint, and perform block processing on the target high-support formwork layout model based on the model partition constraint to obtain a block model set, wherein the block model set includes M block architecture models, and the M block architecture models have M block position identifiers, where M is a positive integer;

[0067] According to the actual project requirements and construction conditions, preset model division constraints. These constraints include parameters such as the number, size, shape of blocks, as well as requirements such as the relative position and connection method between blocks. According to the preset model division constraints, the target high-support formwork layout model is divided into multiple blocks. These blocks can be divided according to construction areas, structural types, construction sequences, etc. to meet the needs of actual construction. Through block processing, a block model set containing multiple blocks is obtained. Each block can be an independent architecture model with its own block location identifier and corresponding construction requirements. In the block model set, M block architecture models are determined. The block architecture model can represent each independent part in the target high-support formwork layout model and has a unique block location identifier. A unique block location identifier is assigned to each block architecture model. These identifiers can be used for position confirmation and construction operations in subsequent construction processes.

[0068] Preset a block call constraint, and randomly call a block architecture model in the block model set based on the block call constraint to obtain K block architecture models, wherein a spatial distance between any two block architecture models in the K block architecture models satisfies the block call constraint, and K is a positive integer less than M;

[0069] According to the actual project requirements and construction conditions, preset block call constraints. Block call constraints include parameters such as spatial distance requirements between block architecture models and construction time sequence to ensure the smooth progress of the construction process. According to the preset block call constraints, random calls are made in the block model set to obtain K block architecture models that meet the constraints. The block architecture model represents each independent part in the target high-support formwork layout model and meets the spatial distance requirements. For the selected K block architecture models, determine whether the spatial distance between any two models meets the block call constraints. If not, random calls can be made again until the requirements are met. After judgment, it is confirmed that the selected K block architecture models meet the block call constraints, which can be used as a reference and guide for actual construction.

[0070] Performing building entity mapping call according to the K block architecture models to obtain K block architecture entities;

[0071] According to the preset building entity mapping rules, the selected K block architecture models are mapped to building entities, including mapping the various elements and parameters in the block architecture model to the corresponding building entities, such as mapping the supporting structure to the beams, columns and other entities of the building. According to the preset building entity mapping rules, the selected K block architecture models are mapped to building entities. This may include mapping the various elements and parameters in the block architecture model to the corresponding building entities, such as mapping the supporting structure to the beams, columns and other entities of the building. Check whether the mapping results are correct and reasonable, and confirm whether the selected K block architecture entities meet the actual construction requirements and conditions. If not, the building entity mapping call can be re-performed, or the selection and mapping rules of the block architecture model can be adjusted.

[0072] Performing a reducibility evaluation on the K block architecture entities based on the K block architecture models to obtain K reducibility indexes;

[0073] According to the actual project requirements and construction conditions, set the standards and indicators for restoration evaluation, including similarity, error rate, conformity, etc., to evaluate the degree of restoration between the block architecture entity and the original model. Based on the selected K block architecture models, the K block architecture entities are evaluated for restoration, including comparing and analyzing the block architecture entity with the original model to evaluate its degree of restoration in terms of shape, size, material, etc. According to the set evaluation standards and indicators, calculate the restoration index of each block architecture entity. The restoration index can reflect the degree of restoration of the entity and the degree of conformity with the original model. Analyze and evaluate the calculated restoration index to understand the degree of restoration and the pros and cons of each block architecture entity.

[0074] Furthermore, the K block architecture entities are evaluated for reducibility based on the K block architecture models to obtain K reducibility indexes, and the method further includes:

[0075] Calling and obtaining a first block architecture model based on the K block architecture models;

[0076] Obtaining a first block architecture entity from the K block architecture entities according to the first block architecture model;

[0077] Performing virtual modeling on the first block architecture entity to obtain a first block virtual model;

[0078] Fitting the first block virtual model to the first block architecture model to perform deviation identification to obtain multiple deviation sources;

[0079] Perform deviation limit ranging based on the multiple deviation sources to obtain multiple deviation distance information;

[0080] Preset bias type and bias weight;

[0081] Grouping the plurality of deviation distance information based on the deviation type to obtain a plurality of groups of deviation distance information, and then performing data normalization processing using the deviation weight to obtain a first reducibility index;

[0082] By analogy, the K block architecture models are used as a benchmark to perform reducibility evaluation on the K block architecture entities to obtain the K reducibility indexes.

[0083] A block architecture model is selected from the block model set as the first block architecture model. According to the parameters and characteristics of the first block architecture model, an entity matching it is called from the K block architecture entities as the first block architecture entity. The first block architecture entity is virtually modeled using computer-aided design software or other modeling tools to generate a first block virtual model. The first block virtual model is fitted with the first block architecture model, the deviation between the two is identified, and the source and factors of the deviation are analyzed to generate multiple deviation sources. According to the multiple deviation sources, the degree of influence of the deviation between the first block virtual model and the first block architecture model is analyzed, and the corresponding deviation distance information is calculated. According to the actual project requirements and construction conditions, possible deviation types and corresponding deviation weights are preset. According to the preset deviation types, multiple deviation distance information is divided into different groups. Each group of deviation distance information is normalized by applying the corresponding deviation weight to obtain a first reducibility index. Repeat the above steps to perform virtual modeling, deviation identification, deviation limit distance measurement, data grouping and normalization on each block architecture entity to obtain the reducibility index of each entity. Through the above steps, the first block architecture model can be obtained based on the K block architecture model calls, and the first block architecture entity can be obtained from the K block architecture entity mapping calls according to the model, and then virtual modeling, deviation identification, deviation limit ranging, data grouping and normalization processing are performed on it to obtain the first reducibility index. Then, the reducibility of the K block architecture entities can be evaluated based on this as a benchmark to obtain K reducibility indexes.

[0084] Based on the K reducibility indexes, a construction quality evaluation result is generated.

[0085] According to the analysis of the reducibility index of the K block architecture entities that have been obtained, it can be found which block architecture entities have better reducibility and which need to be improved. According to the actual project requirements and construction conditions, the standards and indicators for construction quality evaluation are set. These standards and indicators can include the average value, maximum value, minimum value, variance, etc. of the reducibility index, which are used to evaluate the quality level of the overall construction. According to the analysis results and the set evaluation standards, the construction quality evaluation results are generated. If the overall construction quality level meets expectations, construction can continue; if there are large deviations or quality problems, corresponding measures need to be taken to improve or adjust.

[0086] Furthermore, based on the K reducibility indexes, a construction quality evaluation result is generated, and the method further includes:

[0087] A reducibility reliability threshold is preset, and the reducibility reliability threshold is used to traverse the K reducibility indexes to obtain a first-level risk control area, wherein the first-level risk control area includes N block architecture entities, and N is a positive integer less than or equal to K;

[0088] Add the K block architecture models to the security control taboo table, and randomly call the block architecture model in the block model set based on the block call constraint to obtain N secondary block models;

[0089] Performing reducibility evaluation based on the N secondary block models to obtain N secondary reducibility indexes;

[0090] The N secondary reducibility indexes are traversed using the reducibility reliability threshold to obtain a secondary risk control area;

[0091] By analogy, an H-level risk control area is obtained, and the H-level risk control area constitutes the construction quality evaluation result.

[0092] According to the actual project requirements and construction conditions, a reliable threshold for restorability is preset. This threshold can be a range or a fixed value, which is used to determine whether the restorability of the block architecture entity meets the requirements. Use the preset reliable threshold for restorability to traverse the K restorability indexes and screen out those block architecture entities with low restorability. The areas where these entities are located are defined as the first-level risk control area. Add the parameters and features of the K block architecture models to the safety control taboo table to avoid the same problems in subsequent construction and evaluation. According to the preset block call constraints, random calls are made in the block model set to obtain N secondary block models. Virtual modeling, deviation identification, deviation limit ranging and other steps are performed on the N secondary block models to obtain the restorability index of each model. Use the preset reliable threshold for restorability to traverse the N secondary restorability indexes and screen out those secondary block architecture entities with low restorability. The areas where these entities are located are defined as the second-level risk control area. Repeat the above steps until the H-level risk control area is obtained. In this process, each new risk control area obtained is a subdivision and supplement of the previous level risk control area. The H-level risk control areas constitute the final construction quality evaluation results. These areas reflect the status of construction quality and issues that need attention.

[0093] In summary, the embodiments of the present application have at least the following technical effects:

[0094] An information filter is pre-built, which stores multiple design information indicators. In the interactive link, the design information of the target structure is first obtained, and then the target structure design information is filtered using the information filter to obtain the target structure restoration information. Based on the target structure restoration information, the steel pipe erection restoration of the high-support formwork is performed to obtain the target high-support formwork layout model. In order to further optimize the model, the model partitioning constraint is preset, and the target high-support formwork layout model is block-processed based on this constraint to obtain a block model set. This block model set includes M block architecture models, each of which has a unique block location identifier. M is a positive integer representing the number of block architecture models. Afterwards, a block call constraint is preset, and a random call is made in the block model set based on this constraint to obtain K block architecture models. Here, K is a positive integer less than M, representing the number of block architecture models that are finally called. In particular, the spatial distance between any two block architecture models in these K block architecture models satisfies the block call constraint. Then, the building entity mapping call is performed according to the K block architecture models, thereby obtaining K block architecture entities. Based on the K block architecture models, the K block architecture entities are evaluated for reducibility, thereby obtaining K reducibility indexes. Finally, the construction quality evaluation result is generated based on the K reducibility indexes. The technical problem of low construction control efficiency in the prior art is solved, and the technical effect of effective control of the safety and quality of the high-support formwork construction process is achieved.

[0095] Embodiment 2

[0096] Based on the same inventive concept as the method for safety and quality control of high-support formwork construction in the aforementioned embodiment, Figure 2 As shown, the present application provides a high-support formwork construction safety and quality control system, and the system and method embodiments in the present application embodiments are based on the same inventive concept. The system includes:

[0097] Construction module 11, screening module 12, restoration module 13, constraint module 14, calling module 15, mapping module 16, evaluation module 17, result module 18.

[0098] A construction module 11, wherein the construction module 11 is used to pre-construct an information filter, wherein the information filter stores a plurality of design information indicators;

[0099] A screening module 12, the screening module 12 is used to interactively obtain target structure design information, and perform information screening of the target structure design information based on the information filter to obtain target structure restoration information;

[0100] A restoration module 13, the restoration module 13 is used to restore the steel pipe erection of the high-support formwork based on the target structure restoration information to obtain a target high-support formwork layout model;

[0101] A constraint module 14, the constraint module 14 is used to preset a model partition constraint, and based on the model partition constraint, perform block processing on the target high-support formwork layout model to obtain a block model set, wherein the block model set includes M block architecture models, the M block architecture models have M block position identifiers, and M is a positive integer;

[0102] A calling module 15, wherein the calling module 15 is used to preset a block calling constraint, and based on the block calling constraint, randomly call a block architecture model in the block model set to obtain K block architecture models, wherein the spatial distance between any two block architecture models in the K block architecture models satisfies the block calling constraint, and K is a positive integer less than M;

[0103] A mapping module 16, the mapping module 16 is used to perform building entity mapping call according to the K block architecture models to obtain K block architecture entities;

[0104] An evaluation module 17, the evaluation module 17 is used to perform a reducibility evaluation on the K block architecture entities based on the K block architecture models to obtain K reducibility indexes;

[0105] The result module 18 is used to generate a construction quality evaluation result based on the K reducibility indexes.

[0106] Furthermore, the construction module 11 is used to execute the following method:

[0107] Interactively obtain multiple groups of sample modeling data for multiple sample high-support formwork models;

[0108] Extracting data types from the multiple groups of sample modeling data to obtain multiple groups of sample data types;

[0109] Performing index clustering on the multiple groups of sample data types to obtain multiple sample design indicators, wherein each sample design indicator has a call frequency identifier;

[0110] Presetting a call frequency threshold, and screening the plurality of sample design indicators based on the call frequency threshold, to obtain the plurality of design information indicators whose call frequency identifiers satisfy the call frequency threshold;

[0111] The plurality of design information indicators are pre-stored in the information filter to complete the construction of the information filter.

[0112] Furthermore, the restoration module 13 is used to execute the following method:

[0113] interactively determine the real-time modeling progress, and perform secondary screening on the target structure restoration information based on the real-time modeling progress to obtain the real-time structure restoration information;

[0114] Disassembling the real-time structure restoration information based on the architecture layout steps to obtain multiple step restoration information;

[0115] Based on the restoration information of the multiple steps, the steel pipe erection of the high formwork is restored to obtain the target high formwork layout model.

[0116] Furthermore, the restoration module 13 is used to execute the following method:

[0117] Performing a time-sequential call on the multiple step restoration information to obtain the first step restoration information;

[0118] Based on the information restored in the first step, the support point positions are called to obtain a first support point position set;

[0119] Based on the information restored in the first step, steel pipe size call is performed to obtain a first steel pipe size set;

[0120] Perform modeling restoration based on the first support point position set, perform modeling filling based on the first steel pipe size set, and obtain a first high formwork layout model;

[0121] Performing a time-sequential call on the multiple step restoration information to obtain second step restoration information;

[0122] By analogy, based on the second step, the model is restored and called to obtain a second support point position set and a second steel pipe size set;

[0123] Taking the first high formwork layout model as a construction basis, the second support point position set and the second steel pipe size set are used for modeling and filling to obtain a second high formwork layout model;

[0124] By analogy, the steel pipe erection of the high formwork is restored based on the restoration information of the multiple steps to obtain the target high formwork layout model.

[0125] Furthermore, the evaluation module 17 is used to perform the following method:

[0126] Calling and obtaining a first block architecture model based on the K block architecture models;

[0127] Obtaining a first block architecture entity from the K block architecture entities according to the first block architecture model;

[0128] Performing virtual modeling on the first block architecture entity to obtain a first block virtual model;

[0129] Fitting the first block virtual model to the first block architecture model to perform deviation identification to obtain multiple deviation sources;

[0130] Perform deviation limit ranging based on the multiple deviation sources to obtain multiple deviation distance information;

[0131] Preset bias type and bias weight;

[0132] Grouping the plurality of deviation distance information based on the deviation type to obtain a plurality of groups of deviation distance information, and then performing data normalization processing using the deviation weight to obtain a first reducibility index;

[0133] By analogy, the K block architecture models are used as a benchmark to perform reducibility evaluation on the K block architecture entities to obtain the K reducibility indexes.

[0134] Furthermore, the result module 18 is used to execute the following method:

[0135] A reducibility reliability threshold is preset, and the reducibility reliability threshold is used to traverse the K reducibility indexes to obtain a first-level risk control area, wherein the first-level risk control area includes N block architecture entities, and N is a positive integer less than or equal to K;

[0136] Add the K block architecture models to the security control taboo table, and randomly call the block architecture model in the block model set based on the block call constraint to obtain N secondary block models;

[0137] Performing reducibility evaluation based on the N secondary block models to obtain N secondary reducibility indexes;

[0138] The N secondary reducibility indexes are traversed using the reducibility reliability threshold to obtain a secondary risk control area;

[0139] By analogy, an H-level risk control area is obtained, and the H-level risk control area constitutes the construction quality evaluation result.

[0140] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. Other embodiments are within the scope of the attached claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0141] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0142] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for safety and quality control of high-support formwork construction, characterized in that: The method comprises: Pre-building an information filter, wherein the information filter stores a plurality of design information indicators; interactively obtaining target structure design information, and performing information screening of the target structure design information based on the information screener to obtain target structure restoration information; Based on the target structure restoration information, the steel pipe erection of the high formwork is restored to obtain a target high formwork layout model; Preset a model partition constraint, and perform block processing on the target high-support formwork layout model based on the model partition constraint to obtain a block model set, wherein the block model set includes M block architecture models, and the M block architecture models have M block position identifiers, where M is a positive integer; Preset a block call constraint, and randomly call a block architecture model in the block model set based on the block call constraint to obtain K block architecture models, wherein a spatial distance between any two block architecture models in the K block architecture models satisfies the block call constraint, and K is a positive integer less than M; Performing building entity mapping call according to the K block architecture models to obtain K block architecture entities; Performing a reducibility evaluation on the K block architecture entities based on the K block architecture models to obtain K reducibility indexes; Based on the K reducibility indexes, a construction quality evaluation result is generated.

2. The method according to claim 1, characterized in that Pre-building an information filter, wherein the information filter stores a plurality of design information indicators, and the method further comprises: Interactively obtain multiple groups of sample modeling data for multiple sample high-support formwork models; Extracting data types from the multiple groups of sample modeling data to obtain multiple groups of sample data types; Performing index clustering on the multiple groups of sample data types to obtain multiple sample design indicators, wherein each sample design indicator has a call frequency identifier; Presetting a call frequency threshold, and screening the plurality of sample design indicators based on the call frequency threshold, to obtain the plurality of design information indicators whose call frequency identifiers satisfy the call frequency threshold; The plurality of design information indicators are pre-stored in the information filter to complete the construction of the information filter.

3. The method according to claim 2, characterized in that Based on the target structure restoration information, the steel pipe erection restoration of the high formwork is performed to obtain a target high formwork layout model, and the method further includes: interactively determine the real-time modeling progress, and perform secondary screening on the target structure restoration information based on the real-time modeling progress to obtain the real-time structure restoration information; Disassembling the real-time structure restoration information based on the architecture layout steps to obtain multiple step restoration information; Based on the restoration information of the multiple steps, the steel pipe erection of the high formwork is restored to obtain the target high formwork layout model.

4. The method according to claim 3, characterized in that Based on the restoration information of the multiple steps, the steel pipe erection of the high formwork is restored to obtain the target high formwork layout model, and the method further includes: Performing a time-sequential call on the multiple step restoration information to obtain the first step restoration information; Based on the information restored in the first step, the support point positions are called to obtain a first support point position set; Based on the information restored in the first step, steel pipe size call is performed to obtain a first steel pipe size set; Perform modeling restoration based on the first support point position set, perform modeling filling based on the first steel pipe size set, and obtain a first high formwork layout model; Performing a time-sequential call on the multiple step restoration information to obtain second step restoration information; By analogy, based on the second step, the model is restored and called to obtain a second support point position set and a second steel pipe size set; Taking the first high formwork layout model as a construction basis, the second support point position set and the second steel pipe size set are used for modeling and filling to obtain a second high formwork layout model; By analogy, the steel pipe erection of the high formwork is restored based on the restoration information of the multiple steps to obtain the target high formwork layout model.

5. The method according to claim 1, characterized in that Based on the K block architecture models, reducibility evaluation is performed on the K block architecture entities to obtain K reducibility indexes. The method further includes: Calling and obtaining a first block architecture model based on the K block architecture models; Obtaining a first block architecture entity from the K block architecture entities according to the first block architecture model; Performing virtual modeling on the first block architecture entity to obtain a first block virtual model; Fitting the first block virtual model to the first block architecture model to perform deviation identification to obtain multiple deviation sources; Perform deviation limit ranging based on the multiple deviation sources to obtain multiple deviation distance information; Preset bias type and bias weight; Grouping the plurality of deviation distance information based on the deviation type to obtain a plurality of groups of deviation distance information, and then performing data normalization processing using the deviation weight to obtain a first reducibility index; By analogy, the K block architecture models are used as a benchmark to perform reducibility evaluation on the K block architecture entities to obtain the K reducibility indexes.

6. The method according to claim 5, characterized in that Generating a construction quality evaluation result based on the K reducibility indexes, the method further includes: A reducibility reliability threshold is preset, and the reducibility reliability threshold is used to traverse the K reducibility indexes to obtain a first-level risk control area, wherein the first-level risk control area includes N block architecture entities, and N is a positive integer less than or equal to K; Add the K block architecture models to the security control taboo table, and randomly call the block architecture model in the block model set based on the block call constraint to obtain N secondary block models; Performing reducibility evaluation based on the N secondary block models to obtain N secondary reducibility indexes; The N secondary reducibility indexes are traversed using the reducibility reliability threshold to obtain a secondary risk control area; By analogy, an H-level risk control area is obtained, and the H-level risk control area constitutes the construction quality evaluation result.

7. A high-formwork construction safety and quality control system, characterized in that: The system comprises: A construction module, the construction module is used to pre-construct an information filter, wherein the information filter stores a plurality of design information indicators; A screening module, the screening module is used to interactively obtain target structure design information, and perform information screening of the target structure design information based on the information filter to obtain target structure restoration information; A restoration module, the restoration module is used to restore the steel pipe erection of the high-support formwork based on the target structure restoration information to obtain a target high-support formwork layout model; A constraint module, the constraint module is used to preset model partition constraints, and based on the model partition constraints, the target high-support formwork layout model is subjected to block processing to obtain a block model set, wherein the block model set includes M block architecture models, the M block architecture models have M block position identifiers, and M is a positive integer; A calling module, the calling module is used to preset a block calling constraint, and based on the block calling constraint, randomly call a block architecture model in the block model set to obtain K block architecture models, wherein the spatial distance between any two block architecture models in the K block architecture models satisfies the block calling constraint, and K is a positive integer less than M; A mapping module, the mapping module is used to perform building entity mapping call according to the K block architecture models to obtain K block architecture entities; An evaluation module, the evaluation module is used to perform a reducibility evaluation on the K block architecture entities based on the K block architecture models to obtain K reducibility indexes; A result module is used to generate a construction quality evaluation result based on the K reducibility indexes.

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