Fabricated building construction technology

Abstract

The invention belongs to the technical field of fabricated building construction, and provides a fabricated building construction process which comprises the following steps: firstly, arranging and calibrating ultrasonic and vibration detectors at key parts according to a design drawing, a sleeve layout and a finite element analysis result, establishing a table for amplitude data of an ultrasonic pulse detector during pouring according to area and measuring point numbers, and setting up the table; the method comprises the following steps: establishing a time-amplitude threshold curve according to historical data without defects from completion of vibration to initial setting, drawing a time-amplitude curve of each measuring point, intercepting real-time amplitude data after completion of vibration, comparing the real-time amplitude data with the threshold curve, judging that the amplitude has good quality in a normal area, judging that quality defects exist in a defect area, counting the number of defect signal amplitude data points, and calculating the number of the defect signal amplitude data points. Setting time windows in combination with the initial setting time, calculating the emergency degree of each window, sequencing to obtain a table, and vibrating the defect part again or vibrating after adding concrete according to the table; the process is accurate in monitoring, guarantees data accuracy, effectively recognizes defects, reasonably processes problems, and improves construction quality and reliability.

Description

Technical Field

[0001] The present invention belongs to the technical field of prefabricated building construction, and specifically relates to a prefabricated building construction process. Background Art

[0002] Prefabricated buildings are widely used in the construction industry due to their advantages such as high construction efficiency, energy saving and environmental protection.

[0003] Among them, sleeve grouting connection is one of the key technologies for connecting prefabricated building components, and its connection quality directly affects the structural safety and performance of the building.

[0004] However, in the existing construction technology, there are many problems in the sleeve grouting process.

[0005] On the one hand, grouting quality is difficult to detect visually, and traditional detection methods cannot accurately identify grouting defects such as looseness and voids.

[0006] On the other hand, there is a lack of real-time monitoring of hole defects and loose grouting during the grouting process. Once an abnormality occurs, it is difficult to detect and deal with it in time, which can easily leave safety hazards.

[0007] Therefore, there is an urgent need for a construction process and system that can comprehensively and accurately monitor the sleeve grouting construction to improve the construction quality and safety of prefabricated buildings.

[0008] To this end, the present invention provides a prefabricated building construction process. Summary of the Invention

[0009] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0010] The technical solution adopted by the present invention to solve its technical problem is:

[0011] In a first aspect, the present invention provides a prefabricated building construction process, comprising:

[0012] Step 1: Use finite element analysis to analyze component design drawings and sleeve layout and develop a monitoring plan;

[0013] Step 2: According to the monitoring plan, the amplitude data recorded by the ultrasonic pulse monitor during the concrete pouring process are sorted and a data table is created according to the detection area;

[0014] Step 3: Based on the detection area of any data table, establish a time-amplitude curve, obtain historical construction amplitude data and filter the historical construction amplitude data, process the filtered historical construction amplitude data, and obtain a time-amplitude threshold curve;

[0015] Step 4: Obtain real-time amplitude data. Intercept the real-time amplitude data after vibration completion and analyze it in combination with the time-amplitude threshold curve to obtain the defect signal.

[0016] Step 5: Based on the defect signal, divide the time window according to the number of amplitude data points and the initial setting time of the concrete, process the time window, and obtain the window urgency table. According to the window urgency table, re-vibrate the defective part or add concrete and then vibrate again.

[0017] In a second aspect, the present invention provides an assembled building construction system, comprising:

[0018] Scheme layout module: Use finite element analysis to analyze component design drawings and sleeve layout to develop monitoring plans;

[0019] Data preprocessing module: According to the monitoring plan, the amplitude data recorded by the ultrasonic pulse monitor during the concrete pouring process is sorted and a data table is established according to the detection area;

[0020] Data processing module: Based on the detection area of any data table, establish a time-amplitude curve, obtain historical construction amplitude data and filter the historical construction amplitude data, process the filtered historical construction amplitude data, and obtain a time-amplitude threshold curve;

[0021] Defect analysis module: obtains real-time amplitude data, intercepts the real-time amplitude data after vibration completion and combines it with the time-amplitude threshold curve for analysis to obtain defect signals;

[0022] Defect processing module: Based on the defect signal, the time window is divided according to the number of amplitude data points and the initial setting time of the concrete. The time window is processed to obtain the window urgency table. According to the window urgency table, the defective part is re-vibrated or concrete is added and then vibrated again.

[0023] The beneficial effects of the present invention are as follows:

[0024] 1. A real-time sensor monitoring plan is developed in combination with component design drawings, sleeve layout and finite element analysis results. This can accurately determine the stress distribution of the sleeve grouting connection, identify stress concentration areas and potential defect-prone locations, achieve targeted monitoring of key areas, improve the accuracy and effectiveness of monitoring, and promptly discover potential quality problems. Before cement pouring, the ultrasonic detector and transducer are calibrated and the coupling effect is tested. At the same time, the amplitude data during the construction process is strictly sorted, cleaned and standardized to effectively eliminate dimensional effects and abnormal data interference, ensure the accuracy and reliability of the test data, and provide a solid data foundation for subsequent quality analysis and judgment.

[0025] 2. A time-amplitude threshold curve is established based on historical construction data without internal defects. This curve can accurately reflect the normal variation of amplitude during concrete pouring. By comparing and analyzing it with the real-time measured amplitude data, it can effectively identify possible defects in the current construction, realize real-time monitoring and dynamic evaluation of concrete pouring quality, and promptly discover quality risks. A time window is set based on the number of amplitude data points of the defect signal combined with the initial setting time of the concrete, and the urgency of the time window is sorted. An urgency table is developed to reasonably arrange the priority and time of defect handling, ensuring that defects are handled promptly and effectively at different time stages, improving construction quality and efficiency, and avoiding quality accidents caused by untimely defect handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The present invention will be further described below with reference to the accompanying drawings.

[0027] Figure 1 It is a flowchart of the steps of an assembled building construction process of the present invention;

[0028] Figure 2 It is a system module diagram of an assembled building construction system of the present invention. DETAILED DESCRIPTION

[0029] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0030] Example 1

[0031] like Figure 1 As shown, an assembled building construction process according to an embodiment of the present invention includes:

[0032] Step 1: Use finite element analysis to analyze component design drawings and sleeve layout and develop a monitoring plan;

[0033] Specifically, the component design drawings, along with the sleeve's specifications, materials, connection methods, and specific location and layout within the component, were imported into the finite element analysis software ANSYS. The concrete design strength grade and mix ratio parameters for the component were also obtained. Based on the feedback from the finite element analysis software ANSYS, the stress distribution of the sleeve grouting connection under load was determined, and stress concentration areas and potential defect-prone locations caused by loose grouting and void defects were identified.

[0034] Based on the feedback from the finite element analysis software ANSYS, stress concentration areas and potential defect-prone locations are identified, and ultrasonic pulse detectors and vibration detectors are placed in the stress concentration areas and potential defect-prone locations;

[0035] Select an ultrasonic detector with multi-channel transmission and reception functions, adjustable pulse frequency, and time resolution of 0.1μs, and match it with planar ultrasonic transducers of different frequencies and sizes to meet different detection needs;

[0036] For small-sized sleeves or parts requiring high detection accuracy, high-frequency, small-sized transducers are used; for large-sized sleeves and where thick concrete needs to be penetrated, low-frequency, large-sized transducers are used.

[0037] Before cement pouring, use a standard test block to calibrate the ultrasonic detector and transducer, measure the amplitude parameters of the standard test block, compare with the standard value, adjust the equipment parameters, and ensure the accuracy of the test data;

[0038] At the same time, the coupling effect of the transducer is tested, and vaseline, butter, and special ultrasonic coupling paste are selected to ensure that the transducer fits tightly to the detection surface and reduce the loss of acoustic energy;

[0039] Step 2: Based on the developed sensor real-time monitoring plan, the amplitude data recorded by the ultrasonic pulse monitor during the concrete pouring process is sorted and a data table is created according to the detection area;

[0040] Specifically, according to the construction drawings and actual site conditions, the concrete pouring area is divided into several inspection areas, for example, such as Area A, Area B, and Area C;

[0041] Export the amplitude data recorded during the test from the ultrasonic pulse detector, and enter the collected amplitude data into a table one by one according to the test area number;

[0042] Step 3: Based on the detection area of any data table, establish a time-amplitude curve, obtain historical construction amplitude data and filter the historical construction amplitude data, process the filtered historical construction amplitude data, and obtain a time-amplitude threshold curve;

[0043] Specifically, based on the detection area of any data table, with time as the horizontal coordinate and amplitude as the vertical coordinate, the time-amplitude data of the monitoring points are plotted on the coordinate graph to obtain a time-amplitude curve.

[0044] Analyze and screen historical construction amplitude data;

[0045] Specifically, by analyzing the changes in historical construction amplitude data, we found that due to the loose internal structure of concrete, the pores and air have a strong scattering and absorption effect on ultrasonic waves, resulting in a low amplitude. During the vibration process, although the density of the concrete has increased, it is still not dense enough overall, and the amplitude will increase, but the increase is limited.

[0046] During the sleeve grouting construction of prefabricated buildings, from cement pouring to completion of vibration, the concrete is in a state of intense disturbance and plastic flow. The amplitude monitoring data collected at this time is affected by mechanical vibration and dynamic factors such as aggregate migration, and cannot truly reflect the density and defect characteristics of the grouting body. Therefore, historical construction data at this stage is of no reference value for quality assessment.

[0047] In actual projects, the initial setting time parameter will serve as an important basis for data screening. Historical construction data from the completion of vibration to the initial setting will be intercepted to ensure that the analyzed data can accurately reflect the molding quality status of the grouting body, providing reliable support for subsequent defect identification and critical value calibration.

[0048] It should be noted that the initial setting time of concrete is determined by professional technicians in accordance with current national standards through cement paste setting time test and concrete penetration resistance test method, taking into account the cement type, concrete mix ratio and construction environment conditions.

[0049] Screening of historical construction amplitude data;

[0050] During the vibration process, the vibration detector continuously collects and analyzes vibration signals, first pre-processes the vibration signals, uses low-pass filtering technology to remove environmental noise, and retains effective vibration signal components; extracts key characteristic parameters from the pre-processed vibration signals, and the key characteristic parameters include but are not limited to: vibration amplitude, frequency, and duration;

[0051] Compare the extracted feature parameters with the feature parameter threshold;

[0052] It should be noted that the characteristic parameter threshold is a reference value set by technical personnel in this industry based on historical construction experience;

[0053] If the characteristic parameter is greater than or equal to the characteristic parameter threshold, it means that the vibration signal has not disappeared and the vibration operation is not completed;

[0054] If the characteristic parameter is less than the characteristic parameter threshold, it means that the vibration signal has disappeared and the vibration operation is completed;

[0055] According to the initial setting time of concrete, the amplitude data from the completion of vibration to the initial setting is selected from the historical construction amplitude data and marked as the analysis period;

[0056] Process the amplitude data of the analysis period, and clean and standardize the filtered amplitude data;

[0057] The 3σ principle is used to identify and eliminate abnormal amplitude data points, and the adjacent mean method and linear interpolation method are used to fill in the small amount of missing amplitude data;

[0058] Use the formula: The amplitude data is standardized to eliminate the dimension effect, where x is the original data, μ is the mean, and σ is the standard deviation;

[0059] With time as the horizontal axis and amplitude as the vertical axis, a scatter plot of the analysis time period is drawn, and the least squares method is used to fit a straight line, which is the time-amplitude threshold curve;

[0060] It should be noted that the historical construction data used to construct the time-amplitude threshold curve all comes from concrete pouring processes without internal defects. The threshold curve established based on defect-free historical data can accurately reflect the normal variation of amplitude during concrete pouring, thereby effectively identifying defects in current construction and providing a scientific basis for real-time monitoring and dynamic assessment of concrete pouring quality.

[0061] Step 4: Obtain real-time amplitude data. Intercept the real-time amplitude data after vibration completion and analyze it in combination with the time-amplitude threshold curve to obtain the defect signal.

[0062] Specifically, based on the signal from the vibration monitor, when the vibration signal disappears completely from the start of collection, this point in time is the completion time of vibration. From the real-time amplitude data, the real-time amplitude data after the vibration is completed is accurately intercepted;

[0063] Arrange the intercepted amplitude data in chronological order to ensure the continuity and accuracy of the data. At the same time, check whether there are missing values or outliers in the data. If there are, linear interpolation can be used to fill the missing values and the 3σ principle can be used to eliminate outliers.

[0064] The real-time amplitude data after the vibration is completed is plotted on the same coordinate graph with time as the horizontal coordinate and amplitude as the vertical coordinate, combined with the time-amplitude threshold curve to obtain the amplitude data points;

[0065] It should be noted that both the time-amplitude threshold curve and the real-time amplitude data series take the moment when concrete vibration is completed as the starting point. Therefore, when conducting a comparative analysis between the two, it is necessary to ensure that the temporal alignment of the data is complete.

[0066] Specifically, whether it is the time-amplitude threshold curve constructed from historical construction data or the amplitude data series collected in real time, it is necessary to use the time axis after the completion of vibration as the benchmark starting point and accurately match the amplitude value corresponding to each time node;

[0067] By unifying the starting point of time, data deviation caused by time sequence misalignment is avoided, thus ensuring that the analysis results can truly and accurately reflect the dynamic changes in concrete pouring quality, providing a reliable basis for quality judgment and defect warning;

[0068] Compare and analyze the amplitude data points with the time-amplitude threshold curve;

[0069] If the amplitude data point falls within the normal area defined by the time-amplitude threshold curve, it indicates that the current quality of the concrete is good and no obvious defects appear, and no treatment is performed;

[0070] If the amplitude data point falls within the defect area defined based on the time-amplitude threshold curve, it is determined that the concrete has a quality defect and a defect signal is generated;

[0071] It should be noted that the normal area and defect area are reference values set by technical personnel in this industry based on historical construction experience;

[0072] Step 5: Based on the defect signal, divide the time window according to the number of amplitude data points and the initial setting time of the concrete, process the time window, and obtain the window urgency table. According to the window urgency table, re-vibrate the defective part or add concrete and then vibrate again.

[0073] Taking the moment of completion of vibration as the starting point, the number of amplitude data points of the defect signal is counted and recorded as BFi. Based on the initial setting time process, the time window is divided into: emergency window, high-risk window, and routine processing window;

[0074] The emergency window is when time is of the essence and any defect requires immediate response. The high-risk window is when a certain amount of processing time is reserved but priority is given. The regular processing window is when there is ample time to address the defect.

[0075] Different time windows are weighted, with the emergency window being given a weight of W=2, the high-risk window being given a weight of W=1, and the routine processing window being given a weight of W=1.

[0076] The window urgency E is calculated by using the number of amplitude data points BFi of the defect signal and the time window weight using the formula: E = N × W, where N is the number of amplitude data points BFi of the defect signal and W is the time window weight.

[0077] Sort the window urgency E from large to small and integrate them to get the window urgency table;

[0078] According to the urgency table, re-vibrate the defective parts or add concrete and then re-vibrate;

[0079] The technical solution of this embodiment is: combining the component design drawings, sleeve layout, and concrete parameters, using finite element analysis to determine the stress distribution of the sleeve grouting connection parts, identifying stress concentration areas and potential defect-prone locations; arranging ultrasonic pulse detectors and vibration detectors at key locations, and selecting appropriate ultrasonic detectors and transducers according to detection requirements; using standard test blocks to calibrate the detection equipment before pouring, and testing the transducer coupling effect to ensure the accuracy of the detection data; dividing the concrete pouring area and numbering the measuring points according to the construction drawings and actual site conditions; deriving amplitude data from the ultrasonic pulse monitor, entering it according to the area and measuring point number, establishing a data table, and plotting the time-amplitude curve of each measuring point with time as the horizontal axis and amplitude as the vertical axis; determining the initial setting time of concrete through experiments, and intercepting the vibration The historical construction data from completion to initial setting are cleaned and standardized, and the least squares method is used to fit a straight line to construct a time-amplitude threshold curve based on defect-free historical data. This curve is used to reflect the normal change pattern of amplitude during concrete pouring. The disappearance of the vibration monitor signal is taken as the completion time of vibration. The real-time amplitude data is intercepted and compared with the time-amplitude threshold curve after processing. If the amplitude data point is in the normal area, it indicates that the concrete quality is good. If it is in the defective area, it is determined that there is a quality defect and a defect signal is generated. The emergency window, high-risk window, and routine processing window are divided based on the initial setting time. Different weights are assigned to calculate the urgency of each time window, and the urgency is ranked to form an urgency table. According to the table, the defective part is re-vibrated or re-vibrated after adding concrete.

[0080] Example 2

[0081] like Figure 2 As shown, based on Example 1, the present invention provides an assembled building construction system, comprising:

[0082] Scheme layout module: Based on the component design drawings and sleeve layout, combined with the finite element analysis results, formulate a sensor real-time monitoring plan;

[0083] Import the component design drawings, along with the sleeve's specifications, materials, connection methods, and specific location and layout within the component, into the finite element analysis software ANSYS. Simultaneously, the component's concrete design strength grade and mix ratio parameters are obtained. Based on the feedback from the finite element analysis software ANSYS, the stress distribution of the sleeve grouting connection under load is determined, identifying stress concentration areas and potential defect locations caused by loose grouting and void defects.

[0084] Based on the feedback from the finite element analysis software ANSYS, stress concentration areas and potential defect-prone locations are identified, and ultrasonic pulse detectors and vibration detectors are placed in the stress concentration areas and potential defect-prone locations;

[0085] Select an ultrasonic detector with multi-channel transmission and reception functions, adjustable pulse frequency, and time resolution of 0.1μs, and match it with planar ultrasonic transducers of different frequencies and sizes to meet different detection needs;

[0086] For small-sized sleeves or parts requiring high detection accuracy, high-frequency, small-sized transducers are used; for large-sized sleeves and where thick concrete needs to be penetrated, low-frequency, large-sized transducers are used.

[0087] Before cement pouring, use a standard test block to calibrate the ultrasonic detector and transducer, measure the amplitude parameters of the standard test block, compare with the standard value, adjust the equipment parameters, and ensure the accuracy of the test data;

[0088] Data preprocessing module: organizes the amplitude data recorded by the ultrasonic pulse monitor during the concrete pouring process and creates a data table according to the detection area;

[0089] Data processing module: Based on the detection area of any data table, establish a time-amplitude curve, obtain historical construction amplitude data and filter the historical construction amplitude data, process the filtered historical construction amplitude data, and obtain a time-amplitude threshold curve;

[0090] Based on the detection area of any data table, a time-amplitude curve is established, historical construction amplitude data is obtained and filtered, and the filtered historical construction amplitude data is processed to obtain a time-amplitude threshold curve;

[0091] Based on the detection area of any data table, with time as the horizontal coordinate and amplitude as the vertical coordinate, the time-amplitude data of the monitoring points are plotted on the coordinate graph to obtain the time-amplitude curve.

[0092] Analyze and screen historical construction amplitude data;

[0093] Analysis of historical construction amplitude data shows that due to the loose internal structure of concrete, the pores and air have strong scattering and absorption effects on ultrasonic waves, resulting in low amplitude. During the vibration process, although the density of the concrete has increased, it is still not dense enough overall, and the amplitude will increase, but the increase is limited.

[0094] During the sleeve grouting construction of prefabricated buildings, from cement pouring to completion of vibration, the concrete is in a state of intense disturbance and plastic flow. The amplitude monitoring data collected at this time is affected by mechanical vibration and dynamic factors such as aggregate migration, and cannot truly reflect the density and defect characteristics of the grouting body. Therefore, historical construction data at this stage is of no reference value for quality assessment.

[0095] In actual projects, the initial setting time parameter will serve as an important basis for data screening. Historical construction data from the completion of vibration to the initial setting will be intercepted to ensure that the analyzed data can accurately reflect the molding quality status of the grouting body, providing reliable support for subsequent defect identification and critical value calibration.

[0096] It should be noted that the initial setting time of concrete is determined by professional technicians in accordance with current national standards through cement paste setting time test and concrete penetration resistance test method, taking into account the cement type, concrete mix ratio and construction environment conditions.

[0097] Screening of historical construction amplitude data;

[0098] During the vibration process, the vibration detector continuously collects and analyzes vibration signals, first pre-processes the vibration signals, uses low-pass filtering technology to remove environmental noise, and retains effective vibration signal components; extracts key characteristic parameters from the pre-processed vibration signals, and the key characteristic parameters include but are not limited to: vibration amplitude, frequency, and duration;

[0099] Compare the extracted feature parameters with the feature parameter threshold;

[0100] It should be noted that the characteristic parameter threshold is a reference value set by technical personnel in this industry based on historical construction experience;

[0101] If the characteristic parameter is greater than or equal to the characteristic parameter threshold, it means that the vibration signal has not disappeared and the vibration operation is not completed;

[0102] If the characteristic parameter is less than the characteristic parameter threshold, it means that the vibration signal has disappeared and the vibration operation is completed;

[0103] According to the initial setting time of concrete, the amplitude data from the completion of vibration to the initial setting is selected from the historical construction amplitude data and marked as the analysis period;

[0104] Process the amplitude data of the analysis period, and clean and standardize the filtered amplitude data;

[0105] The 3σ principle is used to identify and eliminate abnormal amplitude data points, and the adjacent mean method and linear interpolation method are used to fill in the small amount of missing amplitude data;

[0106] Use the formula: The amplitude data is standardized to eliminate the dimension effect, where x is the original data, μ is the mean, and σ is the standard deviation;

[0107] With time as the horizontal axis and amplitude as the vertical axis, a scatter plot of the analysis time period is drawn, and the least squares method is used to fit a straight line, which is the time-amplitude threshold curve;

[0108] It should be noted that the historical construction data used to construct the time-amplitude threshold curve all comes from concrete pouring processes without internal defects. The threshold curve established based on defect-free historical data can accurately reflect the normal variation of amplitude during concrete pouring, thereby effectively identifying defects in current construction and providing a scientific basis for real-time monitoring and dynamic assessment of concrete pouring quality.

[0109] Defect analysis module: obtains the measured amplitude data, intercepts the amplitude data after vibration completion, and combines it with the time-amplitude threshold curve for analysis to obtain the defect signal;

[0110] According to the signal from the vibration monitor, when the vibration signal disappears completely from the beginning of collection, this point in time is the completion time of vibration. From the real-time amplitude data, the real-time amplitude data after the vibration is completed is accurately intercepted;

[0111] Arrange the intercepted amplitude data in chronological order to ensure the continuity and accuracy of the data. At the same time, check whether there are missing values or outliers in the data. If there are, linear interpolation can be used to fill the missing values and the 3σ principle can be used to eliminate outliers.

[0112] The real-time amplitude data after the vibration is completed is plotted on the same coordinate graph with time as the horizontal coordinate and amplitude as the vertical coordinate, combined with the time-amplitude threshold curve to obtain the amplitude data points;

[0113] It should be noted that both the time-amplitude threshold curve and the real-time amplitude data series take the moment when concrete vibration is completed as the starting point. Therefore, when conducting a comparative analysis between the two, it is necessary to ensure that the temporal alignment of the data is complete.

[0114] Whether it is the time-amplitude threshold curve constructed from historical construction data or the amplitude data series collected in real time, the time axis after the completion of vibration must be used as the benchmark starting point to accurately match the amplitude value corresponding to each time node;

[0115] By unifying the starting point of time, data deviation caused by time sequence misalignment is avoided, thus ensuring that the analysis results can truly and accurately reflect the dynamic changes in concrete pouring quality, providing a reliable basis for quality judgment and defect warning;

[0116] Compare and analyze the amplitude data points with the time-amplitude threshold curve;

[0117] If the amplitude data point falls within the normal area defined by the time-amplitude threshold curve, it indicates that the current quality of the concrete is good and no obvious defects appear, and no treatment is performed;

[0118] If the amplitude data point falls within the defect area defined based on the time-amplitude threshold curve, it is determined that the concrete has a quality defect and a defect signal is generated;

[0119] It should be noted that the normal area and defect area are reference values set by technical personnel in this industry based on historical construction experience;

[0120] Defect processing module: Based on the defect signal, the time window is divided according to the number of amplitude data points of the defect signal and the initial setting time of the concrete. The time window is processed to obtain an urgency table. According to the urgency table, the defective part is re-vibrated or re-vibrated after adding concrete;

[0121] Taking the moment of completion of vibration as the starting point, the number of amplitude data points of the defect signal is counted and recorded as BFi. Based on the initial setting time process, the time window is divided into: emergency window, high-risk window, and routine processing window;

[0122] The emergency window is when time is of the essence and any defect requires immediate response. The high-risk window is when a certain amount of processing time is reserved but priority is given. The regular processing window is when there is ample time to address the defect.

[0123] Different time windows are weighted, with the emergency window being given a weight of W=2, the high-risk window being given a weight of W=1, and the routine processing window being given a weight of W=1.

[0124] The window urgency E is calculated by using the number of amplitude data points BFi of the defect signal and the time window weight using the formula: E = N × W, where N is the number of amplitude data points BFi of the defect signal and W is the time window weight.

[0125] Sort the window urgency E from large to small and integrate them to get the window urgency table;

[0126] According to the urgency table, re-vibrate the defective parts or add concrete and then re-vibrate;

[0127] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A prefabricated building construction process, characterized by: include: Utilize finite element analysis to analyze component design drawings and sleeve layouts and develop monitoring plans; According to the monitoring plan, the amplitude data recorded by the ultrasonic pulse monitor during the concrete pouring process are sorted and a data table is established according to the detection area; Based on the detection area of any data table, a time-amplitude curve is established, historical construction amplitude data is obtained and filtered, and the filtered historical construction amplitude data is processed to obtain a time-amplitude threshold curve; Obtain real-time amplitude data, intercept the real-time amplitude data after vibration completion and analyze it in combination with the time-amplitude threshold curve to obtain the defect signal; Based on the defect signal, the time window is divided according to the number of amplitude data points and the initial setting time of the concrete. The time window is processed to obtain a window urgency table. According to the window urgency table, the defective part is re-vibrated or re-vibrated after adding concrete.

2. The prefabricated building construction process according to claim 1, characterized in that: The process of using finite element analysis to analyze component design drawings and sleeve layout is as follows: The component design drawings as well as the sleeve's specifications, materials, connection methods, and specific positions and layouts in the component are imported into the finite element analysis software ANSYS. At the same time, the concrete design strength grade and mix ratio parameters of the component are obtained to identify stress concentration areas and potential defect-prone locations caused by loose grouting and hole defects.

3. The prefabricated building construction process according to claim 1, characterized in that: The monitoring plan is specifically as follows: Based on the feedback from the finite element analysis software ANSYS, stress concentration areas and potential defect-prone locations are identified, and ultrasonic pulse detectors and vibration detectors are arranged in the stress concentration areas and potential defect-prone locations.

4. The prefabricated building construction process according to claim 1, characterized in that: The data table established according to the detection area is specifically as follows: The amplitude data recorded during the detection process is exported from the ultrasonic pulse detector, and the collected amplitude data is entered into a table one by one according to the detection area number.

5. The prefabricated building construction process according to claim 1, characterized in that: The establishment time-amplitude curve is specifically: Based on the detection area of any data table, with time as the horizontal coordinate and amplitude as the vertical coordinate, the time-amplitude data of the monitoring points are plotted on the coordinate graph to obtain the time-amplitude curve.

6. The prefabricated building construction process according to claim 1, characterized in that: The historical construction amplitude data screening is specifically as follows: Analyze the changes in historical construction amplitude data, eliminate the historical construction amplitude data from the cement pouring to the completion of vibration, and combine the initial setting time and the vibration completion time to intercept the historical construction amplitude data from the completion of vibration to the initial setting.

7. The prefabricated building construction process according to claim 1, characterized in that: The specific process of obtaining the time-amplitude threshold curve is as follows: With time as the horizontal axis and amplitude as the vertical axis, a scatter plot of the analysis time period is drawn, and the least squares method is used to fit a straight line, which is the time-amplitude threshold curve.

8. The prefabricated building construction process according to claim 1, characterized in that: The specific process of obtaining the defect signal is as follows: The amplitude data point is compared and analyzed with the time-amplitude threshold curve. If the amplitude data point falls into the defect area delineated based on the time-amplitude threshold curve, it is determined that the concrete has a quality defect and a defect signal is generated.

9. The prefabricated building construction process according to claim 1, characterized in that: The time window is specifically divided into the following steps based on the initial setting time of concrete: Based on the initial setting time process, the time window is divided into: emergency window, high-risk window, and routine processing window.

10. The prefabricated building construction process according to claim 1, characterized in that: The process of obtaining the window urgency table is as follows: Different time process windows are weighted, and the number of amplitude data points of the defect signal and the time process window weight are multiplied to obtain the window urgency. The window urgency is sorted from large to small and integrated to obtain the window urgency table.

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