Defect detection and safety assessment method for tall formwork support frame during construction

Abstract

The present invention discloses a method for defect detection and safety assessment during the construction period of a tall formwork support frame. The method includes: analyzing the strength of connectors and sinking parameter data at different construction periods, performing grading and clustering analysis, identifying existing defects and safety hazards, dynamically monitoring strength changes in a strength grading and clustering database, combining settlement data with environmental factors to perform stability assessments, predicting critical points of support frame failure, and providing early warnings and construction optimization suggestions to ensure the safety and stability of the support frame during construction. The method proposed in this application is simpler and easier to implement than existing detection methods, and has a higher accuracy in casting load analysis than existing methods, avoiding the occurrence of dangerous accidents and ensuring construction safety.

Description

Technical Field

[0001] The present invention relates to the field of tall formwork detection, and in particular to a method for defect detection and safety evaluation of a tall formwork support frame during construction. Background Art

[0002] Large formwork support frames are widely used in large-scale construction projects, especially in the construction of high-rise buildings, bridges and other structures. Their role is to ensure the stability and accuracy of the formwork during the concrete pouring process. However, the complex loads, environmental factors and dynamic changes faced by the support frames in actual construction may lead to defects in the support frame's connectors and support systems, such as loosening, settlement, insufficient strength and other problems. If these defects are not detected and handled in a timely manner, they may cause serious safety accidents such as structural instability and collapse. Therefore, the detection and safety evaluation methods for defects in the construction period of large formwork support frames can monitor the strength changes, settlement and other important parameters of the support frames in real time, ensuring that potential safety hazards can be discovered and handled in a timely manner during the construction process, becoming an indispensable technical means in construction projects.

[0003] At present, the methods for detecting defects in tall formwork support frames mainly rely on two categories: one is based on on-site manual inspection methods, and the other is automated detection technology based on sensors and data acquisition systems. Manual inspection mainly relies on the naked eye and simple tool inspection of the support frame's connectors and support system by engineering and technical personnel at the construction site, such as measuring the deformation of the formwork and the looseness of the support. However, the manual inspection method has great limitations. Especially when the tall formwork support frame system is complex and the construction environment is harsh, manual inspection often finds it difficult to detect hidden defects in a timely manner, and the inspection frequency is limited, making continuous monitoring impossible. In addition, although automated detection technology can monitor the deformation, settlement and other data of the support frame through sensor layout, the sensor deployment density of most systems is low, resulting in insufficient data collection coverage, and some systems fail to fully consider the dynamic changes of environmental factors during construction.

[0004] Although existing detection methods provide some assurance for the safety assessment of tall formwork support scaffolds, they still suffer from several significant shortcomings. First, manual inspection relies on human experience and is highly subjective. It cannot achieve 24-hour, uninterrupted, real-time monitoring and is prone to missing subtle structural defects. This is particularly true under complex construction conditions, resulting in low detection efficiency and accuracy. Second, while automated sensor systems provide automated monitoring, they often lack comprehensive coverage of the entire support system due to limited sensor placement and insufficient detection accuracy. Furthermore, the high system cost makes widespread adoption difficult. Furthermore, existing automated detection systems often monitor only a single parameter (such as deformation or settlement) and fail to combine multi-parameter data from different construction periods and processes for comprehensive evaluation. These shortcomings prevent existing methods from comprehensively and accurately detecting defects in support scaffolds during construction, thereby impacting the reliability of the overall safety assessment. To address this issue, we propose a method for defect detection and safety assessment of tall formwork support scaffolds during construction. Summary of the Invention

[0005] In order to overcome the shortcomings and deficiencies of the existing technology, a method for defect detection and safety evaluation of tall formwork support frames during construction period is proposed.

[0006] The present invention also provides a method for defect detection and safety evaluation during the construction period of a tall formwork support frame, which is characterized in that the method comprises:

[0007] Step A1: Establishing a strength hierarchical clustering database of tall formwork connectors in a support frame construction period defect detection module, wherein the strength hierarchical clustering database stores connector strengths and settlement parameters of different construction process modes during different construction periods transmitted when foundation settlement occurs on the tall formwork;

[0008] Step A2: The tall formwork during installation and pouring collects the unit time connection member strength of the tall formwork connection members and sends the obtained unit time connection member strength to the support frame construction period defect detection module;

[0009] Step A3: searching the strength hierarchical clustering database for the connection strengths of the different construction process modes and the settlement parameters of the different construction process modes transmitted by the tall formwork of the materials of the support frame construction period that meet the defect characteristics of the support frame construction period, wherein the defect characteristics of the support frame construction period are that the loose connection points indicated by the connection strengths of the different construction process modes and the loose connection points reflected by the connection strengths per unit time are the same, and the detection period of the connection strengths of the different construction process modes meets the set tall formwork stability;

[0010] Step A4: detecting the settlement pouring load of the tall formwork according to the settlement parameters of the construction process methods of different construction periods that meet the defect characteristics of the support frame during construction;

[0011] Step A5: sending the unit time connector strength and settlement parameters collected by the tall template to the strength classification clustering database;

[0012] Step A6: By analyzing the strength and settlement parameter data of connectors at different construction periods, grading and clustering analysis are performed to identify existing defects and safety hazards. The strength grading and clustering database dynamically monitors strength changes, combines settlement data with environmental factors to conduct stability assessments, predict the critical point of support frame failure, and provide early warnings and construction optimization suggestions to ensure the safety and stability of the support frame during construction.

[0013] According to one embodiment of the present invention, the strength hierarchical clustering database also stores the strength extension detected from the strength of the connectors of the different construction process modes according to the set strength extension detection method, and the strength extension includes the strength of the facade connectors and the strength of the main structure connectors.

[0014] According to one embodiment of the present invention, the step of searching for the strength of the connectors of the different construction process modes during construction periods and the settlement parameters of the different construction process modes during construction periods that meet the defect characteristics of the support frame during construction period includes:

[0015] Detecting the strength extension included in the strength of the connecting member per unit time according to the strength extension detection method;

[0016] According to the comparison of the strength extension and the detection period, the strength of the connectors of the different construction process methods and the settlement parameters of the different construction process methods that meet the defect characteristics of the support frame construction period are searched in the strength classification clustering database.

[0017] According to one embodiment of the present invention, the method for defect detection and safety assessment during construction of a tall formwork support frame further includes the step of forming the strength hierarchical clustering database, and the step of forming the strength hierarchical clustering database includes:

[0018] According to the strength extension, the strength of the connectors of different construction process modes stored in the strength classification clustering database is divided into different connector tightness efficiencies; and

[0019] The step of searching for the strength of the connectors of the construction process methods of different construction periods and the settlement parameters of the construction process methods of different construction periods that meet the defect characteristics of the support frame during construction period also includes:

[0020] Determine the tightness efficiency of the connecting piece according to the strength extension contained in the connecting piece strength per unit time;

[0021] Search the strength classification clustering database for the connection strength and settlement parameters of the different construction process methods with different construction periods, which have the same connection tightening efficiency as the connection strength per unit time and the time difference between the detection period and the preset period does not exceed the stability of the tall formwork.

[0022] The different connector tightness efficiencies involve a variety of different connector loosening points at the intersections of tall template materials.

[0023] The tightness efficiency of the different connecting parts is related to a variety of different loads during the construction period of the tall formwork support frame and the tall formwork casting method.

[0024] The settlement parameters of the construction process methods with different construction periods include the settlement position, settlement amount, uneven settlement ratio and settlement difference of the tall formwork.

[0025] The method for defect detection and safety assessment during construction of a tall formwork support frame further comprises the following steps:

[0026] If the strength of the connectors in different construction period construction process modes and the settlement parameters of the construction process modes in different construction period that meet the defect characteristics of the support frame construction period cannot be found in the strength hierarchical clustering database, other settlement detection modes are used to detect the settlement pouring load of the tall formwork, and at the same time, the unit time connector strength and settlement parameters collected from the tall formwork are still sent to the strength hierarchical clustering database.

[0027] The method for defect detection and safety assessment during construction of a tall formwork support frame further comprises the following steps:

[0028] Detect the settlement difference of the tall template, and judge whether the tall template has settled based on the settlement difference. When it is judged that settlement has occurred, perform other settlement detection modes to detect the settlement pouring load of the tall template.

[0029] The strength classification clustering database is established on the remote human-computer interaction interface, and the remote human-computer interaction interface performs the steps of searching for the strength of the connectors of the different construction process modes during the construction period that meet the defect characteristics of the support frame construction period and the settlement parameters of the different construction process modes during the construction period. Then, the settlement parameters of the different construction process modes during the construction period that meet the defect characteristics of the support frame construction period are sent to the settlement detection interface of the tall formwork, so that the settlement casting load is detected by the settlement detection interface.

[0030] Beneficial effects:

[0031] The present invention proposes a method for defect detection and safety evaluation during the construction period of a tall formwork support frame. The method can realize multi-faceted detection of multiple tall formworks by identifying the status of the tall formwork connectors, the loose points of the connectors, and a variety of tall formwork parameters, such as the settlement position, settlement amount, uneven settlement ratio, settlement difference, etc. of the tall formwork, thereby facilitating the analysis of the settlement environment. The method proposed in this application is simpler and easier to implement than the existing detection method, and has higher accuracy than the existing pouring load analysis from images, thus avoiding the occurrence of dangerous accidents and ensuring the safety of tall formworks. The present invention combines settlement parameters with other process parameters to ensure the accuracy of safety assessment. At the same time, the method does not require the advance deployment of monitoring points, saving labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a first operation flow chart of the method of the present invention;

[0033] Figure 2 This is a second operation flow chart of the method of the present invention. DETAILED DESCRIPTION

[0034] The preferred embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. The following description is for illustrative purposes only and is not intended to limit the present invention. Any other similar situations also fall within the scope of protection of the present invention.

[0035] According to the preferred embodiment of the present invention, the method for defect detection and safety assessment of tall formwork support frames during construction based on strength identification technology generally identifies the status of the target connecting parts, actively detects the settlement casting load based on the identified loose points of the connecting parts, and thus realizes the active detection of the settlement casting load of the tall formwork at least to a certain extent.

[0036] like Figure 1 and Figure 2 As shown, the method for defect detection and safety assessment during construction of a tall formwork support frame may include the following steps:

[0037] Step A1: Establishing a strength hierarchical clustering database of tall formwork connectors in a support frame construction period defect detection module, wherein the strength hierarchical clustering database stores connector strengths and settlement parameters of different construction process modes during different construction periods transmitted when foundation settlement occurs on the tall formwork;

[0038] Step A2: The tall formwork during installation and pouring collects the unit time connection member strength of the tall formwork connection members and sends the obtained unit time connection member strength to the support frame construction period defect detection module;

[0039] Step A3: searching the strength hierarchical clustering database for the connection strengths of the different construction process modes and the settlement parameters of the different construction process modes transmitted by the tall formwork of the materials of the support frame construction period that meet the defect characteristics of the support frame construction period, wherein the defect characteristics of the support frame construction period are that the loose connection points indicated by the connection strengths of the different construction process modes and the loose connection points reflected by the connection strengths per unit time are the same, and the detection period of the connection strengths of the different construction process modes meets the set tall formwork stability;

[0040] Step A4: detecting the settlement pouring load of the tall formwork according to the settlement parameters of the construction process methods of different construction periods that meet the defect characteristics of the support frame during construction;

[0041] Step A5: sending the unit time connector strength and settlement parameters collected by the tall template to the strength classification clustering database;

[0042] Step A6: By analyzing the strength and settlement parameter data of connectors at different construction periods, grading and clustering analysis are performed to identify existing defects and safety hazards. The strength grading and clustering database dynamically monitors strength changes, combines settlement data with environmental factors to conduct stability assessments, predict the critical point of support frame failure, and provide early warnings and construction optimization suggestions to ensure the safety and stability of the support frame during construction.

[0043] Step A6.1, Data Integration and Storage: During construction, real-time data on the strength of the tall formwork support frame's connectors, sinkage, and environmental factors (such as temperature and humidity) is collected and stored in a strength-classified clustering database. The database then categorizes and grades this data to facilitate more accurate safety assessments.

[0044] Step A6.2, Strength Model Analysis; Hierarchical Cluster Analysis: The database classifies and clusters the collected strength data, grouping similar strength performance (e.g., connector strength data under the same construction period, process, and loading conditions) to form a strength distribution model. This helps identify areas in the support system where strength is abnormal or below safety standards. Dynamic Strength Analysis: Analyze the dynamic changes in strength during different construction phases, such as whether the strength of connectors decreases during concrete pouring. If the strength at any stage is significantly lower than the design value, caution is warranted, as it may pose a safety hazard.

[0045] Step A6.3, Identify Defects During Construction; Defect Parameter Analysis: By comparing settlement parameters and connector strength at different times, if a particular area's strength decreases more than expected, or if settlement exceeds design standards, this may indicate a support defect, such as loose connections or support instability. Loosening Critical Point Analysis: Using historical strength data and empirical loosening critical point values stored in the database, determine whether the support during the current construction period is approaching the critical point of failure. If this critical point is reached, the system can issue an early warning, prompting personnel to perform reinforcement or adjustments.

[0046] Step A6.4: Safety and Stability Assessment; Comparative Analysis of Connector Strength and Subsidence: Using the data in the database, you can correlate the strength of the connectors with their subsidence. If strength weakens and subsidence increases simultaneously, this may indicate a loss of stability in the support frame, requiring immediate action. Environmental Impact Assessment: Based on the environmental data recorded in the database (such as temperature and humidity), assess whether these external conditions adversely affect the strength of the support frame, and thus the safety of the overall structure. For example, low temperatures can cause material embrittlement, and the database can incorporate this effect to provide a more comprehensive safety assessment.

[0047] Step A6.5, Fault Prediction and Early Warning; Model Prediction: Utilizing the established strength model in the database, combined with current construction techniques and loading conditions, fault prediction is performed. By monitoring the changing trends of strength data at key locations, it is possible to predict the likelihood of future dangerous situations such as connector failure or support frame collapse. Early Warning System: Based on real-time data provided by the strength classification and clustering database, when the support frame strength approaches the safety threshold, the system automatically issues an early warning, requiring on-site construction personnel to reinforce or adjust the support frame in question to ensure construction safety.

[0048] Step A6.6: Construction Optimization Recommendations; Optimize Construction Techniques: By analyzing strength performance at different times and under different techniques, the database can provide construction technique optimization recommendations. For example, if a certain support frame arrangement or construction method is found to be prone to weakening strength or support instability, the construction technique can be adjusted to prevent similar issues from recurring. Material and Equipment Improvement Recommendations: The database analysis also evaluates the strength performance of different materials, helping to select more suitable materials and equipment and reducing defects and potential hazards during construction.

[0049] It should be understood that the step of establishing a strength hierarchical clustering database in the embodiment described herein is only for easier reading and understanding of the embodiment of the method for defect detection and safety assessment during the construction period of the tall formwork support frame, and does not limit the step of establishing a strength hierarchical clustering database to be performed every time the method is executed. In fact, it is easy to understand that, under normal circumstances, after the strength hierarchical clustering database of tall formwork connectors is established, only the stored relevant data and information need to be updated and the usual necessary processing needs to be done for a considerable period of time, without the need to establish this hierarchical clustering database again. In other words, for each tall formwork that is in, approaching, or about to enter the installation and pouring or approaching stage, the above-mentioned method for defect detection and safety assessment during the construction period of the tall formwork support frame will execute the steps after the strength hierarchical clustering database of the tall formwork connectors is established.

[0050] The unit time connector strength can be collected by a multimodal sensing device installed at the detection end of the large template. The connector strength data can be transmitted to the hierarchical clustering database by a communication device or a signal transmission device. The hierarchical clustering database refers to the identification standards for large template connectors, which are divided into different levels according to the different connectors.

[0051] It should be understood that an example of the support frame construction period defect detection module referred to herein is a remote human-computer interaction interface. The remote human-computer interaction interface may have a large-scale storage space and the ability to process complex strength data, so that the collected large quantities of strength data can be processed according to a preset algorithm to obtain the corresponding connection loose point information, and has the function of transmitting and receiving signals or data.

[0052] In an embodiment using a remote human-computer interaction interface, a strength classification clustering database can be established on the remote human-computer interaction interface, and the remote human-computer interaction interface performs a step of searching for the strength of the connectors of the different construction process methods that meet the defect characteristics of the support frame construction period and the settlement parameters of the different construction process methods that meet the defect characteristics of the support frame construction period. The settlement parameters of the different construction process methods that meet the defect characteristics of the support frame construction period are then sent to the settlement detection interface of the tall formwork, so that the settlement detection interface can detect the settlement pouring load. The advantage of this embodiment is that most of the algorithms that require a large amount of calculation will be concentrated in the remote human-computer interaction interface on the ground for processing. This solution relatively reduces the intermediate steps of using information related to the strength of the connectors to identify and detect the settlement pouring load, which may be beneficial to improving processing efficiency and the reliability of active detection of settlement in some aspects.

[0053] The defect characteristics of the support frame during the construction period actually include: the sameness or similarity of the connector strength determined based on the identification of the connector strength to a certain extent, which means that the connector loosening point reflected by the connector strength of different construction process methods during the construction period is the same as the connector loosening point reflected by the connector strength per unit time, and the detection period of the connector strength of different construction process methods meets the set high template stability, for example, the time difference from the preset period does not exceed a certain time change trend.

[0054] First, determine whether the time difference between the detection period or generation time of the data of the tall formwork of the materials during the construction period of the support frames with different construction periods and the preset period time exceeds a certain time change trend. If it exceeds, the data of the tall formwork of the materials during the construction period of the support frames with different construction periods are considered invalid. If it does not exceed, further determine whether the loose point of the connection has not changed based on the strength of the connection. If it is considered that the loose point of the connection has changed, the data of the tall formwork of the materials during the construction period of the support frames with different construction periods are also considered invalid. If it is considered that the loose point of the connection is still the same as before, the data from the tall formwork of the materials during the construction period of the support frames with different construction periods are considered valid. The settlement pouring load of the tall formwork can be further actively detected based on the data of the tall formwork of the materials during the construction period of the support frames with different construction periods.

[0055] The connector loosening points referred to herein may include a variety of set or predefined connector looseness efficiencies, which are used to distinguish between the various connector settings for settlement detection, and the intersections of tall formwork materials. These different connector intersections of tall formwork materials, as well as the loads during the construction period of the tall formwork support frame and the method of casting the tall formwork can be distinguished through some strength extensions of the connector strength. On this basis, the connector loosening points reflected by the connector strength referred to in the above description are the same, which may refer to the processing and analysis of the set strength processing or recognition algorithm or feature detection method, and the result is that the connector strength and the connector strength per unit time of a certain construction process method with different construction periods reflect that the sampled connectors belong to the same predefined connector looseness efficiency, that is, the intersections of the connectors and the tall formwork materials are the same, or on the basis of the same intersections of the tall formwork materials, the loads during the construction period of the tall formwork support frame and the method of casting the tall formwork are also the same.

[0056] According to some preferred embodiments of the present invention, the strength hierarchical clustering database also stores the strength extension detected from the strength of the connectors of the different construction process modes according to the set strength extension detection method, and the strength extension includes the strength of the facade connectors and the strength of the main structure connectors.

[0057] The facade connector strength and the main structure connector strength may refer to the facade connector strength and the main structure connector strength with the tall formwork connector.

[0058] In the above-mentioned method for detecting and evaluating defects during the construction period of a large formwork support frame, the step of searching for the strength of the connectors of the construction process methods of different construction periods and the settlement parameters of the construction process methods of different construction periods that meet the defect characteristics of the support frame during the construction period includes:

[0059] Detecting the strength extension included in the strength of the connecting member per unit time according to the strength extension detection method;

[0060] According to the comparison of the strength extension and the detection period, the strength of the connectors of the different construction process methods and the settlement parameters of the different construction process methods that meet the defect characteristics of the support frame construction period are searched in the strength classification clustering database.

[0061] The step of establishing a strength hierarchical clustering database of tall template connectors further includes:

[0062] According to the strength extension, the strength of the connectors of different construction process modes stored in the strength classification clustering database is divided into different connector tightness efficiencies; and

[0063] The step of searching for the strength of the connectors of the construction process methods of different construction periods and the settlement parameters of the construction process methods of different construction periods that meet the defect characteristics of the support frame during construction period also includes:

[0064] Determine the tightness efficiency of the connecting piece according to the strength extension contained in the connecting piece strength per unit time;

[0065] Search the strength classification clustering database for the connection strength and settlement parameters of the different construction process methods with different construction periods, which have the same connection tightening efficiency as the connection strength per unit time and the time difference between the detection period and the preset period does not exceed the stability of the tall formwork.

[0066] According to some preferred embodiments of the present invention, further settlement parameters for different construction process methods during different construction periods include the settlement position, settlement amount, uneven settlement ratio, and settlement difference of the tall formwork. In some embodiments, the above-mentioned method for detecting defects and safety assessment during the construction period of tall formwork support frames can be applied or integrated into existing foundation settlement detection methods, such as other methods for detecting the settlement pouring load based on the uneven settlement ratio.

[0067] Other settlement detection modes, that is, existing settlement modes that can be used when the above-mentioned active settlement detection method based on connector strength identification fails, can typically be other settlement detection modes that detect settlement casting loads based on uneven settlement ratios, for example.

[0068] The method for defect detection and safety assessment during construction of a tall formwork support frame also includes the following steps:

[0069] If the strength of the connectors in different construction period construction process modes and the settlement parameters of the construction process modes in different construction period that meet the defect characteristics of the support frame construction period cannot be found in the strength hierarchical clustering database, other settlement detection modes are used to detect the settlement pouring load of the tall formwork, and at the same time, the unit time connector strength and settlement parameters collected from the tall formwork are still sent to the strength hierarchical clustering database.

[0070] According to some preferred embodiments of the present invention, the method for defect detection and safety assessment during construction of a tall formwork support frame further comprises the following steps:

[0071] Detect the settlement difference of the tall template, and judge whether the tall template has settled based on the settlement difference. When it is judged that settlement has occurred, perform other settlement detection modes to detect the settlement pouring load of the tall template.

[0072] According to some preferred embodiments of the present invention, a method for detecting and assessing defects during the construction period of a tall formwork support frame is implemented through different modules, including a support frame construction period defect detection module having a hierarchical clustering database of the strength of tall formwork connectors. The hierarchical clustering database stores the connector strengths and settlement parameters of different construction process modes transmitted when foundation settlement occurs on tall formworks made of materials from different construction periods. The method also includes multiple components provided on a tall formwork detection terminal, including a connector strength integration module, a settlement parameter integration module, a settlement parameter transmission module, and a tall formwork pouring load detection module.

[0073] The connector strength integration module is used to collect the unit-time connector strength of the tall formwork connectors during the installation and pouring steps. The settlement parameter integration module is used to collect the settlement parameters of the tall formwork when foundation settlement occurs on the tall formwork. The settlement parameter transmission module is used to obtain the unit-time connector strength and the settlement parameters and transmit them to the support frame construction period defect detection module.

[0074] The method for detecting and evaluating defects during the construction period of a tall formwork support frame may also include a connector strength safety evaluation module, which is used to search the strength classification clustering database for the connector strengths of different construction process methods and the settlement parameters of different construction process methods transmitted by tall formworks of materials of different construction period support frames that meet the defect characteristics during the construction period of the support frame, and provide them to a tall formwork casting load detection module set on the tall formwork detection end. The defect characteristics during the construction period of the support frame are that the loosening point of the connector shown by the connector strength of the different construction process methods is the same as the loosening point of the connector reflected by the connector strength per unit time, and that the detection period of the connector strength of the different construction process methods meets the set tall formwork stability.

[0075] The tall formwork casting load detection module on the tall formwork will be able to obtain the settlement parameters of the different construction process methods that meet the defect characteristics of the support frame construction period and detect the settlement casting load of the tall formwork during installation and casting based on this information.

[0076] The connector strength safety evaluation module is provided in the support frame construction period defect detection module, or the connector strength safety evaluation module is provided on the tall template detection end.

[0077] The connector strength integration module is a multi-modal sensing device arranged at the detection end of the tall template.

[0078] The tall formwork casting load detection module is also used to perform other settlement detection modes to detect the settlement casting load of the tall formwork when the connector strength safety evaluation module fails to search for the connector strength of the different construction period construction process methods and the settlement parameters of the different construction period construction process methods that meet the defect characteristics of the support frame construction period.

[0079] The method for defect detection and safety assessment during construction of a tall formwork support frame also includes:

[0080] A level meter is provided on the detection end of the tall template, and is used to measure the settlement difference of the tall template;

[0081] The tall formwork casting load detection module is also used to obtain the settlement difference measured by the level and determine whether the tall formwork has settled based on the settlement difference. When it is determined that settlement has occurred, other settlement detection modes are used to detect the settlement casting load of the tall formwork.

[0082] The embodiments described above are merely descriptions of preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the spirit of the present invention, various deformations, modifications, and substitutions made to the technical solutions of the present invention by ordinary technicians in this field should fall within the scope of protection determined by the claims of the present invention.

Claims

1. A method for defect detection and safety assessment during the construction period of a tall formwork support frame, characterized in that: The method includes: Step A1: Establishing a strength hierarchical clustering database of tall formwork connectors in a support frame construction period defect detection module, wherein the strength hierarchical clustering database stores connector strengths and settlement parameters of different construction process modes during different construction periods transmitted when foundation settlement occurs on the tall formwork; The strength classification and clustering database is used to store the strength and corresponding sinking parameters of the connectors of tall formwork in different construction periods and construction processes. By classifying and clustering different data during the construction process, a strength model under different construction periods and construction methods is formed; Steps for forming the intensity hierarchical clustering database: According to the strength extension, the strength of the connectors of the different construction process modes during the construction period stored in the strength classification clustering database is divided into different connector looseness and tightness efficiencies; Step A2, the unit time connector strength of the tall formwork connectors during installation and pouring is collected and the obtained unit time connector strength is sent to the support frame construction period defect detection module; Step A3: searching the strength hierarchical clustering database for the connection strengths of the different construction process modes and the settlement parameters of the different construction process modes transmitted by the tall formwork of the materials of the support frame construction period that meet the defect characteristics of the support frame construction period, wherein the defect characteristics of the support frame construction period are that the loose connection points indicated by the connection strengths of the different construction process modes and the loose connection points reflected by the connection strengths per unit time are the same, and the detection period of the connection strengths of the different construction process modes meets the set tall formwork stability; The step of searching for the strength of the connectors of the construction process methods of different construction periods and the settlement parameters of the construction process methods of different construction periods that meet the defect characteristics of the support frame during construction period also includes: Determine the tightness efficiency of the connecting piece according to the strength extension contained in the connecting piece strength per unit time; Searching the strength hierarchical clustering database for a connection piece whose looseness and tightness efficiency is the same as the connection piece strength per unit time; Step A4: detecting the settlement pouring load of the tall formwork according to the settlement parameters of the construction process methods of different construction periods that meet the defect characteristics of the support frame during construction; Step A5: sending the unit time connector strength and settlement parameters collected by the tall template to the strength classification clustering database; Step A6: By analyzing the strength and settlement parameter data of connectors at different construction periods, grading and clustering analysis are performed to identify existing defects and safety hazards. The strength grading and clustering database dynamically monitors strength changes, combines settlement data with environmental factors to conduct stability assessments, predict the critical point of support frame failure, and provide early warnings and construction optimization suggestions to ensure the safety and stability of the support frame during construction. If a certain support frame layout or construction method causes strength weakening or support instability, the construction process is adjusted accordingly.

2. The method for defect detection and safety assessment during construction of a tall formwork support frame according to claim 1, characterized in that: The strength hierarchical clustering database also stores the strength extension detected from the strength of the connectors in the different construction process modes according to the set strength extension detection method, and the strength extension includes the strength of the facade connectors and the strength of the main structure connectors.

3. The method for defect detection and safety assessment during construction of a tall formwork support frame according to claim 2, characterized in that: The step of searching for the connection member strength and settlement parameters of the construction process methods in different construction periods that meet the defect characteristics of the support frame during construction period includes: Detecting the strength extension included in the strength of the connecting member per unit time according to the strength extension detection method; According to the comparison of the strength extension and the detection period, the strength of the connectors of the different construction process methods and the settlement parameters of the different construction process methods that meet the defect characteristics of the support frame construction period are searched in the strength classification clustering database.

4. The method for defect detection and safety assessment during construction of a tall formwork support frame according to claim 1, characterized in that: The method further comprises: Detecting the settlement difference of the tall template, and judging whether the tall template has settled according to the settlement difference, and if it is judged that settlement has occurred, performing other settlement detection modes to detect the settlement pouring load of the tall template; The strength classification clustering database is established on the remote human-computer interaction interface, and the remote human-computer interaction interface performs the steps of searching for the strength of the connectors of the different construction process modes during the construction period that meet the defect characteristics of the support frame construction period and the settlement parameters of the different construction process modes during the construction period. Then, the settlement parameters of the different construction process modes during the construction period that meet the defect characteristics of the support frame construction period are sent to the settlement detection interface of the tall formwork, so that the settlement casting load is detected by the settlement detection interface.

5. The method for defect detection and safety assessment during construction of a tall formwork support frame according to claim 3, characterized in that: The tightness efficiency of different connecting parts involves a variety of different loads during the construction period of tall formwork support frames and tall formwork casting methods; the settlement parameters of different construction process methods during the construction period include the settlement position, settlement amount, uneven settlement ratio and settlement difference of the tall formwork.

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