Defect detection and safety evaluation method for construction period of high and large formwork supporting frame

Abstract

The invention discloses a high and large formwork support frame construction period defect detection and safety evaluation method, which comprises the following steps of: performing grading and clustering analysis by analyzing strength and sinking parameter data of connecting pieces in different construction periods, identifying existing defects and potential safety hazards, dynamically monitoring strength change by a strength grading and clustering database, and evaluating the safety of the connecting pieces. Stability evaluation is carried out in combination with settlement data and environmental factors, the fault critical point of the supporting frame is predicted, early warning and construction optimization suggestions are provided, and the safety and stability of the supporting frame in the construction period are ensured. Compared with an existing detection method, the method provided by the invention is simpler, more convenient and easier to implement, and compared with the existing method, the pouring load analysis accuracy is higher, dangerous accidents are avoided, and the construction safety is guaranteed.

Description

Technical Field

[0001] The 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 connection parts and support systems of the support frames, such as looseness, settlement, insufficient strength and other problems. If these defects are not detected and handled in time, 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 time during the construction process, becoming an indispensable technical means in construction projects.

[0003] At present, the methods for defect detection of tall formwork support frames mainly rely on two categories: one is based on on-site manual detection, and the other is automated detection technology based on sensors and data acquisition systems. Manual detection mainly relies on the naked eye observation and simple tool detection of the connectors and support systems of the support frame 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 detection method has great limitations, especially when the system of tall formwork support frames is complex and the construction environment is harsh. Manual detection often fails to detect hidden defects in time, and the detection frequency is limited, making it impossible to monitor continuously. 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 coverage of data collection, and some systems fail to fully consider the dynamic changes of environmental factors during construction.

[0004] Although existing detection methods provide some guarantees for the safety evaluation of tall formwork support frames, they still have some obvious shortcomings. First, manual detection relies on personnel experience and is highly subjective. It is impossible to achieve 24-hour uninterrupted real-time monitoring and is prone to miss subtle structural defects. Especially under complex construction conditions, its detection efficiency and accuracy are low. Secondly, although the automated sensor system provides automated monitoring means, it is usually difficult to fully cover the entire support system due to the limited sensor layout points and insufficient detection accuracy. In addition, the system cost is high and it is difficult to promote it universally. In addition, the existing automated detection system often only monitors a single parameter (such as deformation or settlement) and fails to combine multi-parameter data of different construction periods and different processes for comprehensive evaluation. These shortcomings make it impossible for existing methods to conduct comprehensive and accurate detection of the defects of the support frame during the construction process, which in turn affects the reliability of the overall safety evaluation. To this end, we propose a method for defect detection and safety evaluation during the construction period of tall formwork support frames. Summary of the invention

[0005] In order to overcome the shortcomings and deficiencies of the existing technology, a defect detection and safety evaluation method for tall formwork support frame 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: Step A1: Establish a strength classification clustering database of tall formwork connectors in the support frame construction period defect detection module, wherein the strength classification clustering database stores the strength of connectors of different construction process modes during construction periods and settlement parameters of different construction process modes during construction periods transmitted when foundation settlement occurs on the tall formwork; Step A2: The tall formwork under installation and pouring collects the unit time connection member strength of the tall formwork connection member and sends the acquired unit time connection member strength to the support frame construction period defect detection module; Step A3, searching the strength classification 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 during the construction period, which meet the defect characteristics of the support frame during the construction period, wherein the defect characteristics of the support frame during the construction period are that the loosening point of the connection displayed by the connection strength of the different construction process modes is the same as the loosening point of the connection reflected by the connection strength per unit time, and the detection period of the connection strength of the different construction process modes meets the set tall formwork stability; 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 the construction period; Step A5, sending the unit time connection strength and settlement parameters collected by the tall template to the strength classification clustering database; Step A6: By analyzing the strength of the connectors at different construction periods and the sinking parameter data, classification and clustering analysis are performed to identify existing defects and safety hazards. The strength classification and clustering database dynamically monitors strength changes, combines the settlement data with environmental factors to conduct stability assessment, predicts the critical point of support frame failure, and provides early warning and construction optimization suggestions to ensure the safety and stability of the support frame during construction.

[0007] 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.

[0008] According to an embodiment of the present invention, the step of searching for the strength of the connectors of the different construction process modes during the construction period and the settlement parameters of the different construction process modes during the construction period that meet the defect characteristics of the support frame during the 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.

[0009] According to an 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: According to the strength extension, the strength of the connectors in different construction periods and construction process modes stored in the strength classification clustering database is divided into different connector looseness and tightness efficiencies; and, The step of searching for the strength of the connection parts of the construction process methods in different construction periods and the settlement parameters of the construction process methods in 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 to which it belongs according to the strength extension contained in the connecting piece strength per unit time; The strength of the connectors in different construction periods and the settlement parameters of the construction process methods in different construction periods are searched in the strength classification clustering database for the same connector tightening efficiency as the connector 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.

[0010] The different connector looseness efficiencies involve a variety of different connector loosening points at the intersections of tall template materials.

[0011] The tightness efficiency of the different connecting parts involves a variety of different loads during the construction period of the tall formwork support frame and the tall formwork casting methods.

[0012] 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.

[0013] The method for defect detection and safety assessment during construction of a tall formwork support frame also includes the following steps: If the connector strength 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 cannot be found in the strength classification clustering database, other settlement detection modes are performed to detect the settlement pouring load of the tall formwork, and at the same time, the connector strength per unit time and settlement parameters collected by the tall formwork are still sent to the strength classification clustering database.

[0014] The method for defect detection and safety assessment during construction of a tall formwork support frame also includes the following steps: The settlement difference of the tall formwork is detected, and whether the tall formwork has settled is determined based on the settlement difference. When it is determined that settlement has occurred, other settlement detection modes are used to detect the settlement pouring load of the tall formwork.

[0015] The strength classification clustering database is established on the remote human-computer interaction interface, and the remote human-computer interaction interface executes the step of searching for the strength of the connectors of the different construction process methods in the construction period that meet the defect characteristics of the support frame construction period and the settlement parameters of the different construction process methods in the construction period, and then the settlement parameters of the different construction process methods in 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.

[0016] Beneficial effects: 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 the present application is simpler and easier to implement than the existing detection method, and has higher accuracy than the existing pouring load analysis from images, thereby avoiding the occurrence of dangerous accidents and ensuring the safety of the tall formwork. The present invention combines the settlement parameters with other process parameters to ensure the accuracy of the 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

[0017] Figure 1 This is a first operation flow chart of the method of the present invention; Figure 2 This is a second operation flow chart of the method of the present invention. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings of the specification. The following description is exemplary and not limiting of the present invention. Any other similar situations also fall within the protection scope of the present invention.

[0019] According to the preferred embodiment of the present invention, the method for defect detection and safety assessment of a tall formwork support frame during construction based on strength identification technology generally identifies the state of the target connecting parts, actively detects the settlement pouring load based on the identified loose points of the connecting parts, and thus realizes the active detection of the settlement pouring load of the tall formwork at least to a certain extent.

[0020] 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: Step A1: Establish a strength classification clustering database of tall formwork connectors in the support frame construction period defect detection module, wherein the strength classification clustering database stores the strength of connectors of different construction process modes during construction periods and settlement parameters of different construction process modes during construction periods transmitted when foundation settlement occurs on the tall formwork; Step A2: The tall formwork under installation and pouring collects the unit time connection member strength of the tall formwork connection member and sends the acquired unit time connection member strength to the support frame construction period defect detection module; Step A3, searching the strength classification 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 during the construction period, which meet the defect characteristics of the support frame during the construction period, wherein the defect characteristics of the support frame during the construction period are that the loosening point of the connection displayed by the connection strength of the different construction process modes is the same as the loosening point of the connection reflected by the connection strength per unit time, and the detection period of the connection strength of the different construction process modes meets the set tall formwork stability; 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 the construction period; Step A5, sending the unit time connection strength and settlement parameters collected by the tall template to the strength classification clustering database; Step A6: By analyzing the strength of the connectors at different construction periods and the sinking parameter data, classification and clustering analysis are performed to identify existing defects and safety hazards. The strength classification and clustering database dynamically monitors strength changes, combines the settlement data with environmental factors to conduct stability assessment, predicts the critical point of support frame failure, and provides early warning and construction optimization suggestions to ensure the safety and stability of the support frame during construction.

[0021] Step A6.1, data integration and storage: During the construction process, real-time data such as the strength of the connectors of the tall formwork support frame, the amount of sinking, and environmental factors (such as temperature and humidity) are collected and stored in the strength classification clustering database. The database will classify and grade these data to facilitate more accurate safety evaluation in the future.

[0022] Step A6.2, strength model analysis; hierarchical cluster analysis: The database classifies and clusters the collected strength data, classifies similar strength performance (such as the strength data of connectors under the same construction period, process and load conditions) into one category, and forms a strength distribution model. This can help identify which areas of the support frame system have abnormal strength or are below safety standards. Dynamic strength analysis: Analyze the dynamic changes in strength at different construction stages, such as whether the strength of the connector decreases when the formwork is pouring concrete. If the strength at a certain stage is significantly lower than the design value, it is necessary to be vigilant and there may be safety hazards.

[0023] Step A6.3, Identification of defects during construction; Defect parameter analysis: By comparing the settlement parameters and connector strengths of different periods, if it is found that the strength drop in a certain area exceeds expectations, or the settlement exceeds the design standard, it may indicate that there are defects in the support frame at that location, such as loose connections, unstable support frames, etc. Loosening critical point analysis: Use the historical strength data and loosening critical point experience values ​​stored in the database to determine whether the support frame during the current construction period is close to the critical point of failure. Once it approaches the critical point, the system can issue an early warning to prompt relevant personnel to reinforce or adjust.

[0024] Step A6.4, safety and stability evaluation; comparative analysis of connector strength and sinkage: Through the data in the database, the strength of the connector and the sinkage can be correlated and analyzed. If the weakening of strength and the increase of sinkage occur simultaneously, it may mean that the support frame has lost stability and immediate measures need to be taken. Environmental factor impact assessment: Based on the environmental data recorded in the database (such as temperature, humidity, etc.), evaluate whether these external conditions have an adverse effect on the strength of the support frame, thereby affecting the safety of the overall structure. For example, low temperature may cause material embrittlement, and the database can combine this effect to provide a more comprehensive safety evaluation.

[0025] Step A6.5, Fault prediction and early warning; Model prediction: Use the strength model established in the database, combined with the current construction process and loading conditions, to predict faults. By monitoring the trend of strength data changes at key locations, it is possible to predict whether dangerous situations such as connector failure or support frame collapse will occur in the future. Early warning system: Based on the real-time data provided by the strength classification and clustering database, when the strength of the support frame approaches the safety critical point, the system can automatically issue an early warning, requiring on-site construction personnel to reinforce or adjust the support frame to ensure construction safety.

[0026] Step A6.6, construction optimization suggestions; Optimize construction technology: By analyzing the strength performance at different times and under different processes, the database can provide construction technology optimization suggestions. For example, if it is found that a certain support frame arrangement or a certain construction method is likely to cause strength weakening or support instability, the construction process can be adjusted to avoid similar problems from happening again. Material and equipment improvement suggestions: The database analysis can also evaluate the strength performance of different materials to help select more suitable materials and equipment and reduce defects and hidden dangers during the construction process.

[0027] It should be understood that the step of establishing a strength graded clustering database in the implementation described herein is only for easier reading and understanding of the implementation 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 graded clustering database to be performed every time the method is executed. In fact, it is easy to understand that, usually, after the strength graded clustering database of the tall formwork connector is established, it is only necessary to update the stored related data and information and perform the usual necessary processing for a considerable period of time, without the need to establish the graded clustering database again. In other words, for each tall formwork that is in, close to, or about to enter the installation and casting or approach 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 graded clustering database of the tall formwork connector is established.

[0028] The strength of the connector per unit time can be collected by a multimodal sensing device arranged at the detection end of the tall template. The connector strength data can be sent to the hierarchical clustering database by a communication device or a signal transmitting device. The hierarchical clustering database refers to the identification standard of the connectors of the tall template, which is divided into different levels according to the different connectors.

[0029] 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, which may have a relatively large storage space and the ability to process complex strength data, thereby being able to process the collected large quantities of strength data according to a preset algorithm to obtain the corresponding loose connection point information, and having the function of transmitting and receiving signals or data.

[0030] In the embodiment using a remote human-computer interaction interface, the strength classification clustering database can be established in 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, and then sends the settlement parameters of the different construction process modes during the construction period that meet the defect characteristics of the support frame construction period to the settlement detection interface of the tall formwork, so that the settlement detection interface detects the settlement pouring load. The advantage of this embodiment is that most of the algorithms that require a large amount of calculations will be concentrated in the remote human-computer interaction interface on the ground for processing. This solution relatively reduces the intermediate links of using information related to the strength of the connectors to identify and detect the settlement pouring load, which may be beneficial to improving the processing efficiency and the reliability of active detection of settlement in some aspects.

[0031] The defect characteristics of the support frame during construction 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 points reflected by the connector strengths of different construction process methods during construction periods are the same as the connector loosening points reflected by the connector strengths per unit time, and the detection time periods of the connector strengths of different construction process methods meet the set high formwork stability, for example, the time difference from the preset time period does not exceed a certain time length change trend.

[0032] 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. Based on the data of the tall formwork of the materials during the construction period of the support frames with different construction periods, the settlement pouring load of the tall formwork can be actively detected.

[0033] The loose connection points referred to herein may include a variety of set or predefined connection tightness efficiencies, which are used to distinguish between the joints of tall formwork materials of various connections that are different for settlement detection, and these different joints of tall formwork materials and the loads during the construction period of the tall formwork support frame and the casting method of the tall formwork can be distinguished through some strength extensions of the connection strength. On this basis, the connection looseness points reflected by the connection 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 connection strength of a certain construction process method with different construction periods and the connection strength per unit time reflect that the sampled connections belong to the same predefined connection tightness efficiency, that is, the joints of the tall formwork materials of the connections are the same, or on the basis of the same joints of the tall formwork materials, the loads during the construction period of the tall formwork support frame and the casting method of the tall formwork are also the same.

[0034] According to some preferred embodiments of the present invention, the strength hierarchical clustering database also stores the strength extension detected from the strength of connectors in the different construction process modes according to the set strength extension detection method, and the strength extension includes the strength of facade connectors and the strength of main structure connectors.

[0035] The strength of the facade connector and the strength of the main structure connector may refer to the strength of the facade connector and the strength of the main structure connector with the tall formwork connector.

[0036] 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 connection parts 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: 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.

[0037] The step of establishing a strength classification clustering database of tall template connectors also includes: According to the strength extension, the strength of the connectors in different construction periods and construction process modes stored in the strength classification clustering database is divided into different connector looseness and tightness efficiencies; and, The step of searching for the strength of the connection parts of the construction process methods in different construction periods and the settlement parameters of the construction process methods in 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 to which it belongs according to the strength extension contained in the connecting piece strength per unit time; The strength of the connectors in different construction periods and the settlement parameters of the construction process methods in different construction periods are searched in the strength classification clustering database for the same connector tightening efficiency as the connector 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.

[0038] According to some preferred embodiments of the present invention, further, the settlement parameters of different construction process modes 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 defect detection and safety evaluation method during the construction period of the tall formwork support frame can be applied or combined with the existing foundation settlement detection method, such as other detection methods of the settlement pouring load based on the uneven settlement ratio.

[0039] Other settlement detection modes, i.e., 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.

[0040] The method for defect detection and safety assessment during construction of a tall formwork support frame also includes the following steps: If the connector strength 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 cannot be found in the strength classification clustering database, other settlement detection modes are performed to detect the settlement pouring load of the tall formwork, and at the same time, the connector strength per unit time and settlement parameters collected by the tall formwork are still sent to the strength classification clustering database.

[0041] 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: The settlement difference of the tall formwork is detected, and whether the tall formwork has settled is determined based on the settlement difference. When it is determined that settlement has occurred, other settlement detection modes are used to detect the settlement pouring load of the tall formwork.

[0042] According to some preferred embodiments of the present invention, a method for defect detection and safety assessment during the construction period of a tall formwork support frame is provided. The method is implemented through different modules, including a support frame construction period defect detection module having a strength classification clustering database of tall formwork connectors, wherein the strength classification clustering database stores the strength of connectors of different construction period construction process modes and settlement parameters of different construction period construction process modes transmitted when foundation settlement occurs on tall formworks of materials of different construction period support frames, and also includes multiple parts arranged on the tall formwork detection end, including a connector strength integration module, a settlement parameter integration module, a settlement parameter sending module, and a tall formwork pouring load detection module.

[0043] The connector strength integration module is used to collect the connector strength per unit time of the tall formwork connector when the tall formwork is in 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 sending module is used to obtain the connector strength per unit time and the settlement parameters and send them to the support frame construction period defect detection module.

[0044] The method for detecting defects and evaluating safety during the construction period of a tall formwork support frame may also include a connector strength safety evaluation module, which is used to search in the strength classification clustering database for connector strengths of different construction process methods and settlement parameters of different construction process methods transmitted by tall formworks of materials of different construction period support frames that meet the defect characteristics of the support frame construction period, and provide them to a tall formwork casting load detection module arranged on the tall formwork detection end, wherein the defect characteristics of the support frame construction period are that the loose connection points displayed by the connector strengths of the different construction process methods and the loose connection points reflected by the connector strengths per unit time are the same, and the detection period of the connector strengths of the different construction process methods meets the set tall formwork stability.

[0045] 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 based on this information, detect the settlement casting load of the tall formwork during installation and casting.

[0046] The connector strength safety evaluation module is arranged on the support frame construction period defect detection module, or the connector strength safety evaluation module is arranged on the tall template detection end.

[0047] The connector strength integration module is a multi-modal sensing device arranged at the detection end of the tall template.

[0048] 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 process methods and the settlement parameters of the different construction process methods that meet the defect characteristics of the support frame construction period.

[0049] The method for defect detection and safety assessment during construction of a tall formwork support frame also includes: A level meter is arranged on the detection end of the tall template, and the level meter is used to measure the settlement difference of the tall template; 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.

[0050] The embodiments described above are only descriptions of the preferred modes of the present invention and are not intended to limit the scope of the present invention. Without departing from the design 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 all fall within the protection scope determined by the claims of the present invention.

Claims

1. A method for defect detection and safety assessment during construction of a tall formwork support frame, characterized in that: The method includes: Step A1: Establish a strength classification clustering database of tall formwork connectors in the support frame construction period defect detection module, wherein the strength classification clustering database stores the strength of connectors of different construction process modes during construction periods and settlement parameters of different construction process modes during construction periods transmitted when foundation settlement occurs on the tall formwork; Step A2: The tall formwork under installation and pouring collects the unit time connection member strength of the tall formwork connection member and sends the acquired unit time connection member strength to the support frame construction period defect detection module; Step A3, searching the strength classification 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 during the construction period, which meet the defect characteristics of the support frame during the construction period, wherein the defect characteristics of the support frame during the construction period are that the loosening point of the connection displayed by the connection strength of the different construction process modes is the same as the loosening point of the connection reflected by the connection strength per unit time, and the detection period of the connection strength of the different construction process modes meets the set tall formwork stability; 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 connection strength and settlement parameters collected by the tall template to the strength classification clustering database; Step A6: By analyzing the strength of the connectors at different construction periods and the sinking parameter data, classification and clustering analysis are performed to identify existing defects and safety hazards. The strength classification and clustering database dynamically monitors strength changes, combines the settlement data with environmental factors to conduct stability assessment, predicts the critical point of support frame failure, and provides early warning and construction optimization suggestions to ensure the safety and stability of the support frame during construction.

2. The method for defect detection and safety assessment during construction of a tall formwork support frame as claimed in claim 1, characterized in that: The strength classification 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 as claimed in claim 1, characterized in that: The step of searching for the strength of the connection parts of the construction process methods in different construction periods and the 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 as claimed in claim 1, characterized in that: The method further comprises the step of forming the intensity hierarchical clustering database: According to the strength extension, the strength of the connection parts of the different construction process modes stored in the strength classification clustering database is divided into different connection parts looseness and tightness efficiencies; the step of searching for the connection parts strength of the different construction process modes that meet the defect characteristics of the support frame construction period and the settlement parameters of the different construction process modes also includes: Determine the tightness efficiency of the connecting piece according to the strength extension contained in the connecting piece strength per unit time; The strength hierarchical clustering database is searched for a connector loosening efficiency that is the same as the connector strength per unit time.

5. The method for defect detection and safety assessment during construction of a tall formwork support frame as claimed in claim 1, characterized in that: The method further comprises: Detecting the settlement difference of the tall formwork, and judging whether the tall formwork has settled according to the settlement difference, and when it is judged that settlement has occurred, performing other settlement detection modes to detect the settlement pouring load of the tall formwork; The strength classification clustering database is established on the remote human-computer interaction interface, and the remote human-computer interaction interface executes the step of searching for the strength of the connectors of the different construction process methods in the construction period that meet the defect characteristics of the support frame construction period and the settlement parameters of the different construction process methods in the construction period, and then the settlement parameters of the different construction process methods in 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.

6. The method for defect detection and safety assessment during construction of a tall formwork support frame as claimed in claim 4, characterized in that: The different tightening efficiencies of the connecting parts are related to various different loads during the construction period of the tall formwork support frame and the casting methods of the tall formwork; 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.

7. The method for defect detection and safety assessment during construction of a tall formwork support frame as claimed in claim 1, characterized in that: The strength classification and clustering database is used to store the strength of the connectors of the tall formwork in different construction processes and corresponding sinking parameters. By classifying and clustering different data in the construction process, a strength model under different construction periods and construction methods is formed.

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