CN119338293B

CN119338293B - High formwork construction safety and quality control method and system

Info

Publication number: CN119338293B
Application number: CN202411238124.3A
Authority: CN
Inventors: 袁涛; 姬建华; 张泽宁
Original assignee: Beijing Construction Engineering Co Ltd of China Railway Electrification Engineering Group Co Ltd
Current assignee: Beijing Construction Engineering Co Ltd of China Railway Electrification Engineering Group Co Ltd
Priority date: 2024-09-05
Filing date: 2024-09-05
Publication date: 2025-04-22
Anticipated expiration: 2044-09-05
Also published as: CN119338293A

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

High formwork construction safety and quality control method and system

Technical Field

The invention relates to the field of constructional engineering, in particular to a high formwork construction safety and quality control method and system.

Background

The high formwork is a general term for steel pipe erection with the building operation height of 5m and above and formwork engineering construction of a large frame structure. With the continuous development of constructional engineering, the application of the high formwork construction technology is more and more widespread, however, the safety risk and the quality requirement are correspondingly improved. The traditional construction management method is difficult to meet the safety and quality requirements of high formwork construction. For example, manual monitoring and inspection is not only inefficient, but it is difficult to find some potential safety hazards and quality issues. In addition, the conventional construction management method lacks data recording and analysis of the construction process, and traceability of the construction process is difficult to achieve. Therefore, the research on the method and the system for high formwork construction safety and quality control has important practical significance, and how to effectively improve the safety and the quality level of the high formwork construction is a problem to be solved in the field of building engineering.

Disclosure of Invention

The embodiment of the application provides a high formwork construction safety and quality control method and system, which solve the technical problem of low construction control efficiency in the prior art.

In view of the above problems, the embodiment of the application provides a high formwork construction safety and quality control method and system.

In a first aspect of the embodiment of the application, a method for controlling safety and quality of high formwork construction is provided, which comprises the following steps:

pre-constructing an information filter, wherein the information filter stores a plurality of design information indexes;

The method comprises the steps of interactively obtaining target structure design information, and carrying out information screening on the target structure design information based on the information screening device to obtain target structure restoration information;

Carrying out steel pipe erection reduction of the high formwork based on the target structure reduction information to obtain a target high formwork layout model;

Presetting model division constraint, and carrying out block processing on the target high formwork layout model based on the model division constraint to obtain a block model set, wherein the block model set comprises M block architecture models, the M block architecture models have M block position identifiers, and M is a positive integer;

Presetting block calling constraint, and carrying out random calling of block architecture models in the block model set based on the block calling constraint to obtain K block architecture models, wherein the space distance between any two block architecture models in the K block architecture models meets the block calling constraint, and K is a positive integer smaller than M;

Building entity mapping calling is carried out according to the K block architecture models, and K block architecture entities are obtained;

performing reducibility evaluation on the K block architecture entities by taking the K block architecture models as references to obtain K reducibility indexes;

and generating a construction quality evaluation result based on the K reducibility indexes.

In a second aspect of the embodiment of the present application, there is provided a high formwork construction safety and quality control system, the system comprising:

the construction module is used for pre-constructing an information filter, wherein the information filter stores a plurality of design information indexes;

the screening module is used for interactively obtaining target structure design information, and carrying out information screening on the target structure design information based on the information screening device to obtain target structure restoration information;

the reduction module is used for carrying out steel pipe erection reduction of the high formwork based on the target structure reduction information to obtain a target high formwork layout model;

The constraint module is used for presetting model division constraint, and carrying out block processing on the target high formwork layout model based on the model division constraint to obtain a block model set, wherein the block model set comprises M block architecture models, the M block architecture models have M block position identifiers, and M is a positive integer;

The calling module is used for presetting block calling constraint and carrying out random calling of block architecture models in the block model set based on the block calling constraint to obtain K block architecture models, wherein the space distance between any two block architecture models in the K block architecture models meets the block calling constraint, and K is a positive integer smaller than M;

The mapping module is used for carrying out mapping call on building entities according to the K block architecture models to obtain K block architecture entities;

The evaluation module is used for carrying out reducibility evaluation on the K block architecture entities by taking the K block architecture models as the reference to obtain K reducibility indexes;

and the result module is used for generating a construction quality evaluation result based on the K reducibility indexes.

One or more technical schemes provided by the application have at least the following technical effects or advantages:

An information filter is pre-constructed, the information filter storing a plurality of design information indicators. In the interaction link, firstly, the design information of the target structure is acquired, and then the information filter is used for filtering the design information of the target structure, so that the target structure restoration information is obtained. And carrying out steel pipe erection reduction of the high formwork based on the target structure reduction information so as to obtain a target high formwork layout model. In order to further optimize the model, model division constraint is preset, and based on the constraint, the target high formwork layout model is subjected to block processing, so that a block model set is obtained. The set of block models includes M block architecture models, each block architecture model having a unique block location identification. M is a positive integer representing the number of block architecture models. Then, block calling constraints are preset, and random calling is conducted in the block model set based on the constraints, so that K block architecture models are obtained. Where K is a positive integer less than M, representing the number of block architecture models that are ultimately invoked. In particular, the spatial distance between any two of the K block architecture models satisfies the block invocation constraint. And then, carrying out building entity mapping call according to the K block architecture models, thereby obtaining K block architecture entities. And taking the K block architecture models as a benchmark, and performing reducibility evaluation on the K block architecture entities so as to obtain K reducibility indexes. Finally, a construction quality evaluation result is generated based on the K reducibility indexes. The technical problem of construction management and control inefficiency among the prior art has been solved, the technological effect of effective management and control to the safety and the quality of high formwork work progress has been realized.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic flow chart of a method for controlling the safety and quality of high formwork construction according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a high formwork construction safety and quality control system according to an embodiment of the present application.

Reference numerals illustrate a construction module 11, a screening module 12, a restoration module 13, a constraint module 14, a calling module 15, a mapping module 16, an evaluation module 17 and a result module 18.

Detailed Description

The embodiment of the application solves the technical problem of low construction control efficiency in the prior art by providing the high formwork construction safety and quality control method and system.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

As shown in fig. 1, the embodiment of the application provides a high formwork construction safety and quality control method, wherein the method comprises the following steps:

The high formwork construction is an important construction technology in the building engineering, and the safety and the quality of the construction technology are directly related to the structural safety and the stability of the whole engineering. However, high formwork construction faces many challenges and difficulties. Firstly, as the height and span of the building engineering are continuously increased, the difficulty and safety risk of the high formwork construction are also increased. Secondly, the quality requirement in the high formwork construction process is very strict, and once the quality problem occurs, the structural safety and stability of the whole engineering can be seriously affected. In addition, the high formwork construction involves a plurality of work types and links, resources and manpower in all aspects need to be coordinated and managed, and the construction management difficulty is high. Therefore, the high formwork construction safety and quality control method is provided, and the safety and quality of the high formwork construction process are effectively controlled.

The information filter is mainly used for storing a plurality of design information indexes. Design information indicators may include, but are not limited to, information of structural type, material type, dimensional parameters, structural strength, etc., which may provide necessary references and guidance for high formwork construction. An information filter is constructed, specifically, various types of design information indexes derived from historical project data, design specifications, expert experience, and the like are collected and collated. The collected design information indexes are stored in the information filter, and a proper storage mode such as a database, a data file, a knowledge graph and the like can be selected so as to facilitate subsequent inquiry and use. Appropriate data structures and algorithms are built to screen and process stored design information indicators as needed. Through the pre-constructed information screener, various design information indexes can be effectively stored and screened, necessary references and guidance are provided for high formwork construction, and therefore the safety and quality level of construction are improved.

Further, the method includes pre-building an information filter, wherein the information filter stores a plurality of design information indexes, and the method further includes:

interactively obtaining a plurality of groups of sample modeling data of a plurality of sample high-formwork models;

Extracting data types of the plurality of groups of sample modeling data to obtain a plurality of groups of sample data types;

performing index clustering on the multiple groups of sample data types to obtain multiple sample design indexes, wherein each sample design index has a calling frequency identifier;

Presetting a calling frequency threshold, and screening the plurality of sample design indexes based on the calling frequency threshold to obtain the plurality of design information indexes of which the calling frequency identification meets the calling frequency threshold;

And pre-storing the plurality of design information indexes in the information filter to complete the construction of the information filter.

Through interaction with constructors, multiple groups of sample modeling data of the high formwork models of multiple samples can be acquired. The specific acquisition method can be acquired according to actual conditions, for example, by means of in-situ measurement, construction records, historical data and the like. The sample modeling data refers to sample data collected or generated from an actual engineering project, and is used for constructing a model to predict or analyze indexes of performance, safety, quality and the like of the engineering project, including information such as structure type, material type, size parameter, structural strength and the like, and is used for simulating or analyzing the process and result of high-formwork construction. And carrying out data statistics on the plurality of groups of sample modeling data to know which types of data are contained in each group of data, such as structure types, material types, size parameters, structure strength and the like. Based on the result of the data statistics, different types of data contained in each set of data can be identified, for example, the structure type can be classified into beam, column, plate, etc. The identified different types of data are classified, for example, the structure type can be classified into a support type, a fixed type, an overhanging type, and the like. Based on the classification results, corresponding types of data are extracted from each set of sample modeling data, such as data for the support beams from the support class structure. The extracted sample data is collated for subsequent analysis and processing.

An appropriate clustering algorithm is selected to index-cluster the sets of sample data types. Common clustering algorithms include K-means clustering, hierarchical clustering, density clustering, and the like. An appropriate clustering algorithm can be selected according to actual requirements and project characteristics. The sets of sample data need to be preprocessed before clustering. This includes steps of data cleansing, normalization, etc., to remove outliers, missing values, and redundant data, and to convert the data to an appropriate standard. Relevant features and indices are extracted from the preprocessed sets of sample data, which may include structure type, material type, dimensional parameters, structural strength, etc. And inputting the extracted characteristics and indexes into a clustering algorithm for cluster analysis. Depending on the clustering algorithm, suitable parameters and settings may be selected, such as the number of clusters in K-means clustering, distance metrics, etc. And clustering the plurality of sample design indexes into different clusters according to the result of the cluster analysis. Each cluster may represent a design indicator or design style. After the clustering result of the sample design indexes is obtained, the number of times each design index is used in all sample modeling data, namely the calling frequency, can be counted. This may be achieved by means of data statistics or machine learning. And storing each sample design index and the corresponding calling frequency thereof in the information filter for subsequent use.

And setting a proper calling frequency threshold according to the actual requirements and project characteristics. The threshold may be a fixed value or a dynamic value depending on the specific situation of the project. The call frequency threshold is used to screen out those design indicators with higher call frequencies. And after obtaining a plurality of sample design indexes and calling frequency identifiers thereof, counting the calling frequency of each design index. This may be achieved by means of data statistics or machine learning. And screening all sample design indexes according to a preset calling frequency threshold value. Only those design criteria that meet the threshold requirement for call frequency will be retained.

The screened multiple design information indexes are pre-stored in the information screening device and can be realized through data importing, data writing and the like. In the pre-storing process, accuracy and integrity of data need to be ensured so as to avoid errors or anomalies in subsequent use.

Through interaction with a designer or engineer, design information for the target structure may be obtained, including structure type, material type, dimensional parameters, structural strength, etc., with the specific information depending on the actual project requirements and design decisions. And inputting the obtained target structure design information into the constructed information filter. The information filter already contains a plurality of sample design indexes and calling frequency identifications thereof, so that the input target structure design information can be filtered and analyzed based on the sample data and the calling frequency threshold value. And the information filter analyzes and filters the input target structure design information according to a preset calling frequency threshold value and other rules. This includes comparing sample design metrics to their call frequency, and filtering and screening according to other rules and conditions. Target structure reduction information can be obtained through analysis and screening of the information screener. The target structure reduction information comprises design indexes meeting specific conditions and requirements, suggested optimization schemes and the like, and is used for guiding subsequent structural design and construction work.

And preparing materials and equipment such as required steel pipes, fasteners, supports and the like according to the target structure restoration information. Meanwhile, the construction tool and the safety facility are prepared, and the safety and the quality of the construction process are ensured. And measuring and positioning a construction site according to the size parameters and the positioning requirements in the target structure reduction information, wherein the measuring and positioning comprises the steps of determining parameters such as the position, the height and the angle of the steel pipe erection so as to ensure the accuracy and the stability of the high formwork layout. And (5) starting to erect the steel pipe according to the measurement and positioning results. The steel pipe is supported and fixed at a preset position according to the requirement, and the stability and the safety of the support are ensured. After the steel pipes are erected, the steel pipes are connected by using fasteners, and the firmness and the stability of connection are ensured. The choice and use of fasteners should meet relevant standards and requirements to ensure reliability and safety of the high formwork arrangement. After the fastener connection is completed, supporting and fixing are performed. The support rods and fasteners are used to connect the high formwork to the ground or other structure to increase the stability and load bearing capacity of the support. The angle, height and load bearing capacity of the support are required to be paid attention to during the support and fixing process, so as to ensure the safety and reliability of the high formwork arrangement. After the support and fixation are completed, the high formwork layout is inspected and adjusted. And (5) checking the stability, the bearing capacity and the safety of the high formwork, and adjusting and correcting the parts which do not meet the requirements. And finally completing the construction of the target formwork layout model after inspection and adjustment. The target formwork layout model can be used as a reference and a guide of actual construction, and is beneficial to improving the quality and safety of construction.

Further, the method further comprises the steps of performing steel pipe erection reduction of the high formwork based on the target structure reduction information to obtain a target high formwork layout model, and the method further comprises the following steps:

interactively determining a real-time modeling progress, and carrying out secondary screening on the target structure reduction information according to the real-time modeling progress to obtain real-time structure reduction information;

disassembling the real-time structure reduction information based on a framework layout step to obtain a plurality of step reduction information;

And carrying out steel pipe erection reduction of the high formwork based on the reduction information of the multiple steps to obtain the target high formwork layout model.

In the modeling process, interaction with a designer or engineer is performed to determine real-time modeling progress, including confirmation of current modeling state, feedback and adjustment of modeling progress, and the like. Through real-time interaction, the modeling process can be ensured to be consistent with actual requirements and construction progress. And carrying out secondary screening on the target structure reduction information according to the real-time modeling progress, wherein the secondary screening comprises screening of specific steps or areas, screening of specific materials or equipment and the like. Through the secondary screening, real-time structure restoration information related to the current modeling progress can be obtained. And disassembling the real-time structure reduction information according to the framework layout steps to obtain a plurality of step reduction information, wherein the step reduction information comprises the disassembly of different types of structures such as a supporting structure, a fixed structure, a cantilever structure and the like, the disassembly of different construction areas and the like. By dismantling, real-time structure restoration information can be better understood and analyzed. According to the reduction information of the multiple steps, the steel pipe erection reduction of the high formwork is gradually carried out, and the steel pipe erection reduction comprises the reduction of the operations such as steel pipe erection, fastener connection, support and fixation and the like of each step. By stepwise reduction, the individual components of the target formwork layout model can be obtained. And finally obtaining the target formwork layout model after gradual reduction. The model can be used as a reference and a guide of actual construction, and is helpful for improving the quality and the safety of construction.

Further, performing steel pipe erection reduction of the high formwork based on the reduction information of the multiple steps to obtain the target high formwork layout model, and the method further comprises:

performing time sequence calling on the multiple step reduction information to obtain first step reduction information;

Calling the supporting point positions based on the first-step reduction information to obtain a first supporting point position set;

Performing steel pipe size calling based on the first-step reduction information to obtain a first steel pipe size set;

modeling reduction is carried out based on the first supporting point position set, modeling filling is carried out based on the first steel pipe size set, and a first high formwork layout model is obtained;

Performing time sequence calling on the multiple step reduction information to obtain second step reduction information;

and so on, a second supporting point position set and a second steel pipe size set are obtained based on the second step reduction model call;

Taking the first high formwork layout model as a construction basis, and adopting the second supporting point position set and the second steel pipe size set to carry out modeling filling to obtain a second high formwork layout model;

And by analogy, carrying out steel pipe erection reduction of the high formwork based on the reduction information of the multiple steps to obtain the target high formwork layout model.

First, time sequence calling is carried out on the restoration information of a plurality of steps so as to obtain restoration information of each step. The reduction information comprises disassembly of different types of structures such as a supporting structure, a fixed structure, a cantilever structure and the like, disassembly of different construction areas and the like, and relevant parameters and technical requirements of each step. And calling the supporting point positions by using the restoring information of the first step to obtain a first supporting point position set. The supporting point position is position information of supporting points, fixing points, and the like that need to be set in this step. And calling the size of the steel pipe by using the reduction information of the first step so as to obtain a first steel pipe size set. The dimensions of these steel pipes are the dimensional information such as the diameter, length, wall thickness, etc. of the steel pipes to be used in this step. Modeling reduction is carried out by using the first supporting point position set so as to obtain a supporting structure and a fixing structure of the first high formwork layout model, wherein the supporting structure and the fixing structure comprise the operations of supporting rod placement, fixing piece installation and the like. Modeling and filling are performed by using the first steel pipe size set to obtain the shape and the size of the steel pipes in the first high formwork layout model, wherein the modeling and filling comprise the operations of placing the steel pipes on supporting points, connecting the steel pipes with other structures and the like. And carrying out time sequence calling on the reduction information of the multiple steps, and repeating the steps to obtain a high formwork layout model of each step. At each repetition, the model of the previous step can be used as a construction basis, and modeling filling is performed by updating the supporting point position set and the steel pipe size set so as to gradually construct a high-formwork layout model. And repeating the steps to finally obtain the target formwork layout model.

And presetting model division constraint according to actual project requirements and construction conditions. These constraints include parameters such as number, size, shape, etc. of the blocks, requirements for the relative positions and connection between the blocks, etc. And dividing the target high formwork layout model into a plurality of blocks according to a preset model division constraint. The blocks can be divided according to construction areas, structure types, construction sequences and the like so as to meet the requirements of actual construction. A block model set including a plurality of blocks is obtained by a block processing. Each block may be an independent architectural model with its own block location identification and corresponding construction requirements. In the set of block models, M block architecture models are determined. The tile architecture model may represent individual parts of the target high formwork layout model and have unique tile location identifications. Each block architecture model is assigned a unique block location identification. These identifications can be used for location confirmation and construction operations in subsequent construction processes.

And presetting block calling constraint according to actual project requirements and construction conditions. The block call constraint comprises parameters such as space distance requirement between block architecture models, construction time sequence and the like so as to ensure smooth construction process. According to preset block calling constraint, randomly calling is carried out in a block model set to obtain K block architecture models meeting constraint conditions. The block architecture model represents each independent part in the target formwork layout model and meets the space distance requirement. And judging whether the space distance between any two models meets the block calling constraint for the selected K block architecture models. If not, the random call may be re-made until the requirements are met. And judging, and confirming that the selected K block architecture models meet the block calling constraint, so that the block calling constraint can be used as a reference and a guide of actual construction.

According to preset building entity mapping rules, building entity mapping calling is carried out on the selected K block architecture models, wherein the building entity mapping calling comprises mapping each element, parameter and the like in the block architecture models onto corresponding building entities, such as mapping supporting structures onto entities of beams, columns and the like of a building. And according to a preset building entity mapping rule, performing building entity mapping call on the selected K block architecture models. This may include mapping individual elements, parameters, etc. in the block architecture model onto corresponding building entities, such as mapping the support structure onto beams, columns, etc. of the building. And checking whether the mapping result is correct and reasonable, and confirming whether the selected K block architecture entities meet the requirements and conditions of actual construction. If not, the building entity mapping call can be carried out again, or the selection and mapping rules of the block architecture model can be adjusted.

According to the actual project requirements and construction conditions, setting the standard and index of the reducibility evaluation, including similarity, error rate, conformity and the like, for evaluating the reduction degree between the block architecture entity and the original model. And taking the selected K block architecture models as a reference, performing reduction evaluation on the K block architecture entities, wherein the reduction evaluation comprises comparing and analyzing the block architecture entities with the original models, and evaluating the reduction degree of the block architecture entities in the aspects of shape, size, material and the like. And calculating the reducibility index of each block architecture entity according to the set evaluation standard and index. The reducibility index may reflect the degree of reduction of the entity and the degree of compliance with the original model. And analyzing and evaluating the calculated reducibility index to know the reduction degree and the quality of each block architecture entity.

Further, performing a reducibility evaluation on the K block architecture entities based on the K block architecture models to obtain K reducibility indexes, and the method further includes:

acquiring a first block architecture model based on the K block architecture model calls;

obtaining a first block architecture entity from the K block architecture entity map calls according to the first block architecture model;

virtually modeling the first block architecture entity to obtain a first block virtual model;

Fitting the first block virtual model to the first block architecture model for deviation recognition to obtain a plurality of deviation sources;

performing deviation limit ranging based on the plurality of deviation sources to obtain a plurality of deviation distance information;

presetting a deviation type and a deviation weight;

Data grouping is carried out on the plurality of deviation distance information based on the deviation type to obtain a plurality of groups of deviation distance information, and then data normalization processing is carried out by adopting the deviation weight to obtain a first reducibility index;

And by analogy, performing reducibility evaluation on the K block architecture entities by taking the K block architecture models as a reference to obtain K reducibility indexes.

One block architecture model is selected from the set of block models as a first block architecture model. And calling one entity matched with the K block architecture entities from the K block architecture entities as the first block architecture entity according to the parameters and the characteristics of the first block architecture model. The first block architecture entity is virtually modeled using computer aided design software or other modeling tools to generate a first block virtual model. Fitting the first block virtual model and the first block architecture model, identifying deviation between the first block virtual model and the first block architecture model, analyzing sources and factors for generating deviation, and generating a plurality of deviation sources. According to the deviation sources, the influence degree of the deviation sources on the deviation between the first block virtual model and the first block architecture model is analyzed, and corresponding deviation distance information is calculated. And presetting possible deviation types and corresponding deviation weights according to actual project requirements and construction conditions. And dividing the deviation distance information into different groups according to the preset deviation type. And carrying out normalization processing on each group of deviation distance information by applying corresponding deviation weights to obtain a first reducibility index. Repeating the steps, and performing virtual modeling, deviation recognition, deviation limit ranging, data grouping and normalization on each block architecture entity to obtain a reducibility index of each entity. Through the steps, the first block architecture model can be obtained based on K block architecture model calls, the first block architecture entity can be obtained from K block architecture entity mapping calls according to the model, and then virtual modeling, deviation recognition, deviation limit ranging, data grouping and normalization processing are carried out on the first block architecture entity to obtain a first reducibility index. And then, carrying out reducibility evaluation on the K block architecture entities by taking the block architecture entities as a reference to obtain K reducibility indexes.

Analysis is performed according to the obtained reducibility index of the K block architecture entities, so as to find out which block architecture entities have better reducibility and which are in need of improvement. And setting the standard and index of construction quality evaluation according to the actual project requirements and construction conditions. These criteria and indices may include mean, maximum, minimum, variance, etc. of the reducibility index for assessing the quality level of the overall construction. And generating a construction quality evaluation result according to the analysis result and the set evaluation standard. If the level of the overall construction quality meets the expectations, construction can be continued, and if larger deviation or quality problems exist, corresponding measures are needed to be taken for improvement or adjustment.

Further, based on the K reducibility indexes, a construction quality evaluation result is generated, and the method further includes:

presetting a reduction reliability threshold, traversing the K reduction indexes by adopting the reduction reliability threshold, and obtaining a primary risk management and control area, wherein the primary risk management and control area comprises N block architecture entities, and N is a positive integer less than or equal to K;

Adding the K block architecture models into a security management and control tabu table, and randomly calling the block architecture models in the block model set based on the block calling constraint to obtain N secondary block models;

performing reducibility evaluation based on the N secondary block models to obtain N secondary reducibility indexes;

traversing the N secondary reducibility indexes by adopting the reducibility reliable threshold value to obtain a secondary risk management and control area;

And by analogy, obtaining an H-level risk management and control area, wherein the H-level risk management and control area forms the construction quality evaluation result.

And presetting a reduction reliability threshold according to actual project requirements and construction conditions. The threshold may be a range or a fixed value for determining whether the reducibility of the block architecture entity meets the requirements. K reducing indexes are traversed by using a preset reducing reliability threshold value, and block architecture entities with lower reducing performance are screened out, wherein the areas where the entities are located are defined as first-level risk management areas. And adding parameters and characteristics of the K block architecture models into a safety management and control tabu list to avoid the same problems in subsequent construction and evaluation. And randomly calling in the block model set according to preset block calling constraint to obtain N secondary block models. And performing virtual modeling, deviation recognition, deviation limit ranging and other steps on the N secondary block models to obtain the reducibility index of each model. Traversing N secondary reducibility indexes by using a preset reducibility reliability threshold value, screening out secondary block architecture entities with lower reducibility, wherein the areas where the entities are located are defined as secondary risk management areas. Repeating the steps until the H-level risk management and control area is obtained. In this process, each time a new risk management area is obtained, the last level of risk management area is subdivided and supplemented. The H-level risk management and control areas constitute the final construction quality evaluation result, and these areas reflect the condition of construction quality and the problems to be paid attention to.

In summary, the embodiment of the application has at least the following technical effects:

Example two

Based on the same inventive concept as the high formwork construction safety and quality control method in the foregoing embodiments, as shown in fig. 2, the present application provides a high formwork construction safety and quality control system, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein, the system includes:

the system comprises a construction module 11, a screening module 12, a reduction module 13, a constraint module 14, a calling module 15, a mapping module 16, an evaluation module 17 and a result module 18.

The construction module 11 is used for pre-constructing an information filter, wherein the information filter stores a plurality of design information indexes;

The screening module 12 is used for interactively obtaining target structure design information, and carrying out information screening on the target structure design information based on the information screener to obtain target structure restoration information;

The reduction module 13 is used for carrying out steel pipe erection reduction of the high formwork based on the target structure reduction information to obtain a target high formwork layout model;

The constraint module 14 is configured to preset model division constraints, and perform blocking processing on the target high formwork layout model based on the model division constraints to obtain a block model set, where 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;

The calling module 15 is configured to preset a block calling constraint, and perform random calling of block architecture models in the block model set based on the block calling constraint to obtain K block architecture models, where a 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 smaller than M;

the mapping module 16 is configured to perform mapping call on building entities according to the K block architecture models, so as to obtain K block architecture entities;

The evaluation module 17 is used for performing reducibility evaluation on the K block architecture entities by taking the K block architecture models as the reference to obtain K reducibility indexes;

and a result module 18, wherein the result module 18 is used for generating a construction quality evaluation result based on the K reducibility indexes.

Further, the construction module 11 is configured to perform the following method:

Further, the restoration module 13 is configured to perform the following method:

Further, the evaluation module 17 is configured to perform the following method:

presetting a deviation type and a deviation weight;

Further, the result module 18 is configured to perform the following method:

It should be noted that the 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 foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.

The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.

Claims

1. The method for controlling the safety and quality of high formwork construction is characterized by comprising the following steps:

2. The method of claim 1, wherein an information filter is pre-constructed, wherein the information filter stores a plurality of design information indicators, the method further comprising:

3. The method of claim 2, wherein the high formwork steel pipe erection reduction is performed based on the target structure reduction information to obtain a target high formwork layout model, the method further comprising:

4. The method of claim 3, wherein the target high formwork layout model is obtained by performing high formwork steel pipe erection reduction based on the plurality of step reduction information, the method further comprising:

5. The method of claim 1, wherein the K block architecture entities are reductively evaluated based on the K block architecture models to obtain K reductibility indices, the method further comprising:

presetting a deviation type and a deviation weight;

6. The method of claim 5, wherein a construction quality evaluation result is generated based on the K reducibility indices, the method further comprising:

7. A high formwork construction safety and quality control system, the system comprising: