One-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis

Abstract

The invention relates to the technical field of data processing, and in particular to a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis. The system comprises a data acquisition module for collecting strain data of each area of ​​the one-way ceramic curtain wall during and after the wind pressure is applied, and obtaining a test data sequence and a recovery data sequence respectively; a data analysis module for obtaining an abnormal coefficient according to the test data sequence and the recovery data sequence, and obtaining a target area according to the abnormal coefficient; a feature acquisition module for obtaining a defect influence coefficient and a strain trend characteristic value according to data changes in the recovery data sequence and the test data sequence of the target area respectively; and an abnormal evaluation module for obtaining a non-connector interference coefficient according to the defect influence coefficient and the strain trend characteristic value, and judging the quality of the one-way ceramic curtain wall according to the non-connector interference coefficient, thereby improving the accuracy of detecting the quality of the one-way ceramic curtain wall.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis. Background Art

[0002] One-way ceramic curtain walls have a series of characteristics such as unique aesthetic effects, low water absorption, high strength and bending resistance, etc., which are suitable for the design requirements of modern high-rise buildings. At present, they are mainly used in high-rise and super high-rise buildings. The taller the building, the more sensitive the one-way ceramic curtain wall is to the effects of wind load stress, and even play a decisive role in complex load effects. Therefore, it is necessary to test the wind pressure resistance of the one-way ceramic curtain wall. The wind pressure resistance test can be used to evaluate the stress of the one-way ceramic curtain wall to prevent safety hazards such as falling off and breakage of the one-way ceramic curtain wall due to quality problems.

[0003] It is known that when conducting wind pressure resistance testing, one-way ceramic curtain walls must be tested together with connectors to simulate the situation in which natural wind exerts stress on the curtain wall surface in actual processes. In the traditional way, when testing different areas of the one-way ceramic curtain wall, the strain data of the one-way ceramic curtain wall is monitored and analyzed. If the analysis result exceeds the set threshold, it is considered that the one-way ceramic curtain wall has quality problems and needs to be repaired. However, this method ignores the impact of connectors on the one-way ceramic curtain wall during testing. When the connectors are not installed properly (such as bolts are installed too tight), their strain data will show similar characteristics to one-way ceramic curtain walls with defects. It is difficult to distinguish them with the traditional method, which makes some one-way ceramic curtain walls mistakenly considered to have quality problems.

[0004] Therefore, how to improve the accuracy of detecting quality problems of one-way ceramic curtain walls by monitoring and analyzing the stress of one-way ceramic curtain walls has become an urgent problem to be solved. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis to solve the problem of how to improve the accuracy of detecting quality problems of one-way ceramic curtain walls by monitoring and analyzing the stress of one-way ceramic curtain walls.

[0006] An embodiment of the present invention provides a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis, the system comprising the following steps:

[0007] A data acquisition module is used to collect strain data of each area during the application of wind pressure and strain data after the application of wind pressure in real time during the process of performing wind pressure resistance test on at least one area of ​​any one-way ceramic curtain wall, and obtain a test data sequence and a recovery data sequence corresponding to each area respectively;

[0008] A data analysis module, used for obtaining an abnormality coefficient of each of the regions according to a test data sequence and a restored data sequence corresponding to each of the regions, and obtaining at least one target region in all the regions according to the abnormality coefficient of each of the regions;

[0009] A feature acquisition module is used to obtain, for any target area, a defect influence coefficient of the target area according to a data change speed and a data fluctuation in a restored data sequence of the target area, and obtain a strain trend feature value of the target area according to a data change trend in a test data sequence of the target area;

[0010] The abnormality assessment module is used to obtain the non-connector interference coefficient of any target area according to the defect influence coefficient and the strain trend characteristic value of any target area, obtain the non-connector interference coefficient of each target area, and determine the quality problem of any one-way ceramic curtain wall according to the non-connector interference coefficient of each target area.

[0011] Preferably, the data analysis module obtains the abnormal coefficient of each region according to the test data sequence and the restored data sequence corresponding to each region, including:

[0012] For any region, the test data sequence and the recovery data sequence corresponding to the any region are combined into a strain data sequence of the any region, the maximum value in the strain data sequence and the strain mean of all data in the strain data sequence are obtained, the ratio between the maximum value and the strain mean is calculated, and the difference between the ratio and a constant 1 is used as the data stability of the strain data sequence;

[0013] Acquire the first data and the last data in the strain data sequence, calculate the first difference between the last data and the first data, use the first difference as the independent variable of an exponential function with a natural constant as the base to obtain a power value, and use the difference between the power value and a constant 1 as the data recovery degree of the strain data sequence;

[0014] The standard deviation of all data in the strain data sequence is calculated, the data stability, the data recovery degree and the standard deviation are accumulated to obtain an accumulated result, and the accumulated result is used as an independent variable of the hyperbolic tangent function to obtain the abnormal coefficient of any area.

[0015] Preferably, the feature acquisition module obtains the defect influence coefficient of any target area according to the data change speed and data fluctuation in the restored data sequence of any target area, including:

[0016] Calculate the difference between the first data in the restored data sequence of any target area and the last data in the restored data sequence to obtain a second difference, calculate the ratio between the second difference and the number of all data in the restored data sequence to obtain the data change speed of the restored data sequence, and normalize the data change speed in inverse proportion to obtain a first variable;

[0017] Calculating the first deviation from the mean of all data in the restored data sequence, accumulating all the first deviations from the mean to obtain the data fluctuation degree of the restored data sequence, and using the data fluctuation degree as the independent variable of the hyperbolic tangent function to obtain the second variable;

[0018] The mean value between the first variable and the second variable is taken as the defect influence coefficient of any target area.

[0019] Preferably, the feature acquisition module obtains the strain trend characteristic value of any target area according to the data change trend in the test data sequence of any target area, including:

[0020] Performing a second-order difference operation on the test data sequence to obtain a second-order difference sequence, and accumulating all data in the second-order difference sequence to obtain a first accumulated value;

[0021] Calculating the second deviation from the mean of all data in the test data sequence, calculating, for any data in the test data sequence, the ratio between the second deviation from the mean of any data and the average value of all data in the test data sequence to obtain an increase ratio of the any data, and accumulating the increase ratios of all data in the test data sequence to obtain a second accumulated value;

[0022] The sum of the first accumulated value and the second accumulated value is used as an independent variable of a hyperbolic tangent function to obtain a strain trend characteristic value of any target area.

[0023] Preferably, the abnormality assessment module obtains the non-connector interference coefficient of any target area according to the defect influence coefficient and the strain trend characteristic value of any target area, including:

[0024] The defect influence coefficient and the strain trend characteristic value of any target area are weightedly summed to obtain the non-connector interference coefficient of any target area.

[0025] Preferably, the abnormality assessment module determines the quality problem of any one-way ceramic curtain wall according to the non-connector interference coefficient of each target area, including:

[0026] For any target area, if the non-connector interference coefficient of any target area is within a preset non-connector interference coefficient range, then any target area is a defect area;

[0027] If any of the one-way ceramic curtain walls has a defective area, it is determined that any of the one-way ceramic curtain walls has a quality problem; if any of the one-way ceramic curtain walls does not have a defective area, it is determined that any of the one-way ceramic curtain walls does not have a quality problem.

[0028] Preferably, the data analysis module obtains at least one target area from all areas according to the abnormal coefficient of each area, including:

[0029] For any area, if the abnormal coefficient of any area is greater than or equal to a preset abnormal coefficient threshold, the any area is taken as a target area.

[0030] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0031] The present invention provides a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis, comprising a data acquisition module, which is used for collecting strain data of each area in the process of applying wind pressure and strain data after the wind pressure application is completed in real time during a wind pressure resistance test on at least one area of ​​any one-way ceramic curtain wall, and respectively obtaining a test data sequence and a recovery data sequence corresponding to each area; a data analysis module, which is used for obtaining an abnormal coefficient of each area according to the test data sequence and the recovery data sequence corresponding to each area, and obtaining at least one target area in all areas according to the abnormal coefficient of each area; a feature acquisition module, which is used for obtaining a defect influence coefficient of any target area according to a data change speed and a data fluctuation in a recovery data sequence of any target area, and obtaining a strain trend characteristic value of any target area according to a data change trend in a test data sequence of any target area; and an abnormality assessment module, which is used for obtaining a non-connector interference coefficient of any target area according to the defect influence coefficient and the strain trend characteristic value of any target area, obtaining the non-connector interference coefficient of each target area, and judging the quality problem of any one-way ceramic curtain wall according to the non-connector interference coefficient of each target area. Among them, firstly, according to the fluctuation of strain data, the abnormality coefficient of each area of ​​the one-way ceramic curtain wall is obtained, which is used to make a preliminary judgment on the quality of each area. The area with a higher abnormality coefficient is considered to have possible quality problems. Therefore, the area with an abnormality coefficient greater than the preset abnormality coefficient threshold is taken as the target area. Furthermore, according to the strain data (test data sequence) of the test phase during the wind pressure application process and the strain data (recovery data sequence) of the recovery phase after the wind pressure application is completed, the strain trend characteristic value and defect influence coefficient of each target area are obtained respectively. According to the strain trend characteristic value and the defect influence coefficient, the area where the defects are actually found is found, and the strain data anomaly caused by improper installation of the connector is eliminated, thereby improving the accuracy of detecting quality problems of the one-way ceramic curtain wall. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0033] Figure 1 It is a structural block diagram of a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0034] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, but should not be understood as limiting the present disclosure.

[0035] It should be noted that the terms "first", "second", etc. in the specification of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure.

[0036] In order to illustrate the technical solution of the present invention, specific embodiments are provided below for illustration.

[0037] See also Figure 1 , is a structural block diagram of a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis provided in the first embodiment of the present invention, such as Figure 1 As shown, the system may include:

[0038] The data acquisition module 11 is used to collect the strain data of each area during the application of wind pressure and the strain data after the application of wind pressure in real time during the process of performing wind pressure resistance test on at least one area of ​​any one-way ceramic curtain wall, and obtain the test data sequence and recovery data sequence corresponding to each area respectively.

[0039] When testing the wind pressure resistance of the one-way ceramic curtain wall, the one-way ceramic curtain wall must be tested together with the connectors to simulate the situation in which natural wind applies stress to the curtain wall surface in the actual process. After correctly assembling at least one area of ​​the one-way ceramic curtain wall with the connectors, set the reference wind pressure and the limit wind pressure according to the curtain wall application scenario (geographic location, height and wind speed area, curtain wall structure, etc.). The wind pressure resistance test is divided into the test phase during the wind pressure application process and the recovery phase after the wind pressure application ends. Therefore, firstly, static wind pressure is applied to each area of ​​the one-way ceramic curtain wall, and the load is gradually increased so that the applied wind pressure value covers the entire range from the reference wind pressure to the limit wind pressure, and the strain data of each area of ​​the one-way ceramic curtain wall is recorded by the strain sensor to obtain the test data sequence corresponding to each area. In the recovery phase after the wind pressure application ends, the strain data of each area of ​​the one-way ceramic curtain wall within 15 minutes is continued to be recorded to obtain the recovery data sequence corresponding to each area to analyze the recovery of the one-way ceramic curtain wall. There is no restriction here. The implementer can set the recording time after the wind pressure application ends according to the specific scenario. Among them, the specific process of conducting wind pressure resistance testing on each area of ​​the one-way ceramic curtain wall is an existing technology and will not be repeated here.

[0040] It should be noted that, in the entire process of wind pressure resistance testing of one-way ceramic curtain walls, assuming that the time point when wind pressure application ends is k, k is both the time point when wind pressure application ends and the time point when the recovery phase begins, that is, the strain data corresponding to k is both the last data in the test data sequence and the first data in the recovery data sequence. The data in the test data sequence is: the strain data corresponding to the first time point to the time point k in the entire process of wind pressure resistance testing, and the data in the recovery data sequence is: the strain data corresponding to the time point k to the last time point in the entire process of wind pressure resistance testing.

[0041] The data analysis module 12 is used to obtain an abnormality coefficient of each of the regions according to the test data sequence and the restored data sequence corresponding to each of the regions, and to obtain at least one target region from all the regions according to the abnormality coefficient of each of the regions.

[0042] During the wind pressure test, the normal one-way ceramic curtain wall has a uniform structure, and its strain data fluctuates slightly and performs smoothly. However, when there are quality problems with the one-way ceramic curtain wall, its strain data will increase significantly and fluctuate greatly. At the same time, in the recovery stage, the normal one-way ceramic curtain wall will gradually return to its original state after the wind pressure is applied. Therefore, through these characteristics, the abnormal coefficients of each area of ​​the one-way ceramic curtain wall are obtained to preliminarily judge the quality status of the one-way ceramic curtain wall. For areas with high abnormal coefficients, it is believed that there may be quality problems.

[0043] In the embodiment of the present invention, taking the ith region of a one-way ceramic curtain wall as an example, firstly, the test data sequence and the recovery data sequence corresponding to the ith region are combined into a strain data sequence, and the average value and standard deviation of all data in the strain data sequence are obtained. The data fluctuation in the strain data sequence is characterized by the ratio between the maximum value and the average value in the strain data sequence, and the standard deviation. The recovery of the ith region after the wind pressure application is completed is characterized by the difference between the first data and the last data in the strain data sequence. Then, according to the data fluctuation in the strain data sequence of the ith region and the recovery of the ith region, the abnormal coefficient of the ith region is obtained. Specifically:

[0044] The test data sequence and the recovery data sequence corresponding to any region are used to form a strain data sequence of any region, a maximum value in the strain data sequence and a strain mean value of all data in the strain data sequence are obtained, a ratio between the maximum value and the strain mean value is calculated, and a difference between the ratio and a constant 1 is used as a data stationarity of the strain data sequence;

[0045] Acquire the first data and the last data in the strain data sequence, calculate the first difference between the last data and the first data, use the first difference as the independent variable of an exponential function with a natural constant as the base to obtain a power value, and use the difference between the power value and a constant 1 as the data recovery degree of the strain data sequence;

[0046] The standard deviation of all data in the strain data sequence is calculated, the data stability, the data recovery degree and the standard deviation are accumulated to obtain an accumulated result, and the accumulated result is used as an independent variable of the hyperbolic tangent function to obtain the abnormal coefficient of any area.

[0047] In one embodiment, the calculation formula of the abnormal coefficient of the ith area of ​​the one-way ceramic curtain wall is:

[0048]

[0049] in, represents the abnormal coefficient of the ith area of ​​the one-way ceramic curtain wall, represents the maximum value in the strain data sequence of the ith region, represents the pth strain data in the strain data sequence, Indicates the number of all strain data in the strain data sequence, represents a constant, represents the standard deviation of all data in the strain data series, Indicates the nth data (the last data) in the strain data sequence. represents the first data in the strain data sequence, e represents the natural constant, represents the hyperbolic tangent function.

[0050] It should be noted that Used to limit the output results to (0, 1), is the degree of data stability, That is, the ratio between the maximum value in the strain data sequence and the strain mean of all data in the strain data sequence. The larger the value of is, the closer the maximum value in the strain data series is to the strain mean, and the smaller the data fluctuation in the strain data series is. The smaller the value of The smaller the value is, the more stable the strain data of the i-th region is during the wind pressure resistance test, and the smaller the possibility of quality problems in the i-th region is; The smaller the value of is, the smaller the data fluctuation in the strain data sequence of the i-th region is. The smaller the value is, the more stable the strain data of the i-th region is during the wind pressure resistance test, and the smaller the possibility of quality problems in the i-th region is; The degree of data recovery. The smaller the value of is, the better the recovery state of the ith area is after the wind pressure is applied. The closer the value is to 1, The smaller the value is, the better the recovery of the i-th area is during the wind pressure resistance test, and the smaller the possibility of quality problems in the i-th area is.

[0051] The preset anomaly coefficient threshold is set to 0.4. There is no limit here. The implementer can set it according to the specific scenario. If the anomaly coefficient of the i-th area of ​​the one-way ceramic curtain wall , indicating that during the wind pressure test, the strain data of the ith area is stable, the data fluctuation is small, and the recovery state after the wind pressure application is close to the initial state. Therefore, there is no quality problem in the ith area, and it is a normal area.

[0052] If the anomaly coefficient of the i-th region , it means that there may be quality problems in the i-th area. Considering that in the process of wind pressure resistance test, improper installation of connectors (such as over-tightening of bolts) will show strain data characteristics similar to those of areas with quality problems, it is necessary to further analyze the strain data of the i-th area to eliminate the interference caused by improper installation of connectors.

[0053] Similarly, the abnormal coefficients of all areas of the one-way ceramic curtain wall are obtained, and the areas with abnormal coefficients greater than or equal to 0.4 are taken as target areas, so as to further analyze the strain data of the target areas, find the areas where quality problems actually exist, and improve the accuracy of detecting quality problems of the one-way ceramic curtain wall.

[0054] The feature acquisition module 13 is used to obtain the defect influence coefficient of any target area according to the data change speed and data fluctuation in the recovery data sequence of any target area, and to obtain the strain trend characteristic value of any target area according to the data change trend in the test data sequence of any target area.

[0055] After obtaining the target area that may have quality problems through the data analysis module 12, the strain data of each target area in the recovery stage after the wind pressure application is completed, and the strain data in the test stage during the wind pressure application process are analyzed to obtain the defect influence coefficient and strain trend characteristic value of each target area, so as to find the area where the quality problems actually exist and improve the accuracy of detecting the quality problems of the one-way ceramic curtain wall.

[0056] In the recovery stage after the wind pressure is applied, the one-way ceramic curtain wall with quality problems recovers slowly and the strain data fluctuates greatly. If the connector is improperly installed, the one-way ceramic curtain wall recovers quickly and the strain data fluctuates less. Therefore, taking the j-th target area of ​​the one-way ceramic curtain wall as an example, according to the strain data in the recovery data sequence of the j-th target area, the defect influence coefficient of the j-th target area is obtained, specifically:

[0057] Calculate the difference between the first data in the restored data sequence of any target area and the last data in the restored data sequence to obtain a second difference, calculate the ratio between the second difference and the number of all data in the restored data sequence to obtain the data change speed of the restored data sequence, and normalize the data change speed in inverse proportion to obtain a first variable;

[0058] Calculating the first deviation from the mean of all data in the restored data sequence, accumulating all the first deviations from the mean to obtain the data fluctuation degree of the restored data sequence, and using the data fluctuation degree as the independent variable of the hyperbolic tangent function to obtain the second variable;

[0059] The mean value between the first variable and the second variable is taken as the defect influence coefficient of any target area.

[0060] In one embodiment, the calculation formula of the defect influence coefficient of the j-th target area of ​​the one-way ceramic curtain wall is:

[0061]

[0062] in, represents the defect influence coefficient of the jth target area of ​​the one-way ceramic curtain wall, represents the first data in the restored data sequence of the jth target area, represents the last data in the restored data sequence of the j-th target area, t represents the number of all data in the restored data sequence of the j-th target area, represents the mth data in the restored data sequence of the jth target area, represents the sth data in the restored data sequence of the jth target area, Represents an exponential function with the natural constant e as the base, used for inverse normalization, represents the absolute value symbol, represents the hyperbolic tangent function.

[0063] It should be noted that That is, the data change speed of the restored data sequence. is the first variable, The smaller the value of is, the slower the recovery speed of the jth target area is after the wind pressure is applied, and the larger the value of the first variable is. The larger the value of , the greater the possibility that the j-th target area has quality problems, that is, the smaller the possibility that the j-th target area has abnormal strain data due to improper installation of the connector; is the first deviation from the mean, That is, the degree of data fluctuation. The larger the first deviation from the mean, the greater the volatility of the strain data of the jth target area in the recovery stage, and thus the greater the value of the data fluctuation. The larger the value of , the greater the possibility that the j-th target area has quality problems, that is, the smaller the possibility that the j-th target area has abnormal strain data due to improper installation of the connector.

[0064] During the test phase of the wind pressure application process, the strain data of the one-way ceramic curtain wall will show a large increase as the wind pressure increases. For one-way ceramic curtain walls with quality problems, this increase is sudden and the data fluctuation is more obvious; when the connector is improperly installed, this increase changes gradually. Therefore, first calculate the deviation from the mean of each data in the test data sequence of the j-th target area, and perform a second-order difference operation on the test data sequence of the j-th target area to obtain a second-order difference sequence. The difference between each data and the deviation from the mean in the test data sequence of the j-th target area is used to characterize the increase in the strain data; each second-order difference value in the second-order difference sequence is used to characterize the data fluctuation in the test data sequence of the j-th target area, and then the strain trend characteristic value of the j-th target area is obtained according to the increase in the strain data in the test data sequence of the j-th target area and the data fluctuation. Specifically:

[0065] Performing a second-order difference operation on the test data sequence to obtain a second-order difference sequence, and accumulating all data in the second-order difference sequence to obtain a first accumulated value;

[0066] Calculating the second deviation from the mean of all data in the test data sequence, calculating, for any data in the test data sequence, the ratio between the second deviation from the mean of any data and the average value of all data in the test data sequence to obtain an increase ratio of the any data, and accumulating the increase ratios of all data in the test data sequence to obtain a second accumulated value;

[0067] The sum of the first accumulated value and the second accumulated value is used as an independent variable of a hyperbolic tangent function to obtain a strain trend characteristic value of any target area.

[0068] In one embodiment, the calculation formula for the strain trend characteristic value of the j-th target area of ​​the one-way ceramic curtain wall is:

[0069]

[0070] in, represents the strain trend characteristic value of the jth target area of ​​the one-way ceramic curtain wall, represents the number of all data in the second-order difference sequence, represents the u-th data in the second-order difference sequence, represents the yth data in the test data sequence of the jth target area, represents the vth data in the test data sequence of the jth target area, z represents the number of all data in the test data sequence of the jth target area, represents the absolute value symbol, represents the hyperbolic tangent function.

[0071] It should be noted that That is, the cumulative value of all data in the second-order difference sequence of the test data sequence of the j-th target area, that is, the first cumulative value. The larger the first cumulative value, the stronger the mutation of the strain data in the test data sequence of the j-th target area. The larger the value of , the greater the possibility that the jth target area has quality problems, that is, the smaller the possibility that the jth target area has abnormalities due to improper installation of connectors; is the second deviation from the mean, That is, it is the average value of all data in the test data sequence of the jth target area. That is, the increase ratio. The larger the second deviation from the mean, the stronger the fluctuation of the strain data of the jth target area during the test phase of wind pressure application, and the larger the increase ratio. The larger the value of , the greater the possibility that the j-th target area has quality problems, that is, the smaller the possibility that the j-th target area has abnormalities due to improper installation of the connector.

[0072] At this point, the defect influence coefficient and strain trend characteristic value of the jth target area are obtained.

[0073] The abnormality assessment module 14 is used to obtain the non-connector interference coefficient of any target area according to the defect influence coefficient and the strain trend characteristic value of any target area, obtain the non-connector interference coefficient of each target area, and determine the quality problem of any one-way ceramic curtain wall according to the non-connector interference coefficient of each target area.

[0074] After the defect influence coefficient and strain trend characteristic value of the j-th target area are obtained by the feature acquisition module 13, the defect influence coefficient and strain trend characteristic value of the j-th target area are combined to obtain the non-connector interference coefficient of the j-th target area, specifically:

[0075] The defect influence coefficient and the strain trend characteristic value of any target area are weightedly summed to obtain the non-connector interference coefficient of any target area.

[0076] In one embodiment, the calculation formula of the non-connector interference coefficient of the j-th target area of ​​the one-way ceramic curtain wall is:

[0077]

[0078] in, represents the non-connector interference coefficient of the jth target area of ​​the one-way ceramic curtain wall, represents the first weight, represents the strain trend characteristic value of the jth target area of ​​the one-way ceramic curtain wall, represents the second weight, Represents the defect influence coefficient of the j-th target area of ​​the one-way ceramic curtain wall.

[0079] It should be noted that setting , There is no restriction here, and implementers can set it according to specific scenarios. The larger the value of is, the stronger the fluctuation of the strain data of the jth target area is during the test phase of the wind pressure application process, and the larger the increase is, which leads to The larger the value is, the more likely it is that the jth target area is not disturbed by the connector, and the more likely it is that the jth target area has quality problems, that is, the smaller the possibility that the jth target area has abnormal strain data due to improper installation of the connector; The larger the value of is, the slower the recovery speed of the jth target area is in the recovery stage after the wind pressure is applied, and the greater the volatility of the strain data of the jth target area is. The larger the value of , the greater the possibility that the j-th target area is not disturbed by the connector, and the greater the possibility that the j-th target area has quality problems, that is, the smaller the possibility that the j-th target area has abnormal strain data due to improper installation of the connector.

[0080] Set the preset non-connector interference coefficient range to , if the non-connected interference coefficient of the jth target area , then the jth target area is determined to be a defect area; if the non-connector interference coefficient of the jth target area ,Right now , it is determined that the strain data abnormality of the j-th target area is caused by improper connection parts. At this time, it is necessary to readjust the connection parts of the j-th target area and conduct the wind pressure resistance test again until it is determined that the j-th target area is a normal area or a defective area.

[0081] Similarly, the non-connector interference coefficients of all target areas of the one-way ceramic curtain wall are obtained, and then all defective areas of the one-way ceramic curtain wall are obtained. If the one-way ceramic curtain wall has a defective area, it is determined that the one-way ceramic curtain wall has a quality problem, and the defective area of ​​the one-way ceramic curtain wall is repaired; if the one-way ceramic curtain wall does not have a defective area, it is determined that the one-way ceramic curtain wall has no quality problem.

[0082] In summary, the present invention provides a one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis, including a data acquisition module, which is used to collect strain data of each area in the process of applying wind pressure and strain data after the wind pressure is applied in real time during the process of performing wind pressure resistance test on at least one area of ​​any one-way ceramic curtain wall, and respectively obtain a test data sequence and a recovery data sequence corresponding to each area; a data analysis module, which is used to obtain an abnormal coefficient of each area according to the test data sequence and the recovery data sequence corresponding to each area, and obtain at least one target area in all areas according to the abnormal coefficient of each area; a feature acquisition module, which is used to obtain a defect influence coefficient of any target area according to the data change speed and data fluctuation in the recovery data sequence of any target area, and obtain a strain trend characteristic value of any target area according to the data change trend in the test data sequence of any target area; an abnormality assessment module, which is used to obtain a non-connector interference coefficient of any target area according to the defect influence coefficient and the strain trend characteristic value of any target area, obtain the non-connector interference coefficient of each target area, and determine the quality problem of any one-way ceramic curtain wall according to the non-connector interference coefficient of each target area. Among them, firstly, according to the fluctuation of strain data, the abnormality coefficient of each area of ​​the one-way ceramic curtain wall is obtained, which is used to make a preliminary judgment on the quality of each area. The area with a higher abnormality coefficient is considered to have possible quality problems. Therefore, the area with an abnormality coefficient greater than the preset abnormality coefficient threshold is taken as the target area. Furthermore, according to the strain data (test data sequence) of the test phase during the wind pressure application process and the strain data (recovery data sequence) of the recovery phase after the wind pressure application is completed, the strain trend characteristic value and defect influence coefficient of each target area are obtained respectively. According to the strain trend characteristic value and the defect influence coefficient, the area where the defects are actually found is found, and the strain data anomaly caused by improper installation of the connector is eliminated, thereby improving the accuracy of detecting quality problems of the one-way ceramic curtain wall.

[0083] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis is characterized by: The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis includes: A data acquisition module is used to collect strain data of each area during the application of wind pressure and strain data after the application of wind pressure in real time during the process of performing wind pressure resistance test on at least one area of ​​any one-way ceramic curtain wall, and obtain a test data sequence and a recovery data sequence corresponding to each area respectively; A data analysis module, used for obtaining an abnormality coefficient of each of the regions according to a test data sequence and a restored data sequence corresponding to each of the regions, and obtaining at least one target region in all the regions according to the abnormality coefficient of each of the regions; A feature acquisition module is used to obtain, for any target area, a defect influence coefficient of the target area according to a data change speed and a data fluctuation in a restored data sequence of the target area, and obtain a strain trend feature value of the target area according to a data change trend in a test data sequence of the target area; The abnormality assessment module is used to obtain the non-connector interference coefficient of any target area according to the defect influence coefficient and the strain trend characteristic value of any target area, obtain the non-connector interference coefficient of each target area, and determine the quality problem of any one-way ceramic curtain wall according to the non-connector interference coefficient of each target area.

2. The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis according to claim 1 is characterized in that: The data analysis module obtains the abnormal coefficient of each region according to the test data sequence and the recovery data sequence corresponding to each region, including: For any region, the test data sequence and the recovery data sequence corresponding to the any region are combined into a strain data sequence of the any region, the maximum value in the strain data sequence and the strain mean of all data in the strain data sequence are obtained, the ratio between the maximum value and the strain mean is calculated, and the difference between the ratio and a constant 1 is used as the data stability of the strain data sequence; Acquire the first data and the last data in the strain data sequence, calculate the first difference between the last data and the first data, use the first difference as the independent variable of an exponential function with a natural constant as the base to obtain a power value, and use the difference between the power value and a constant 1 as the data recovery degree of the strain data sequence; The standard deviation of all data in the strain data sequence is calculated, the data stability, the data recovery degree and the standard deviation are accumulated to obtain an accumulated result, and the accumulated result is used as an independent variable of the hyperbolic tangent function to obtain the abnormal coefficient of any area.

3. The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis according to claim 1 is characterized in that: The feature acquisition module obtains the defect influence coefficient of any target area according to the data change speed and data fluctuation in the restored data sequence of any target area, including: Calculate the difference between the first data in the restored data sequence of any target area and the last data in the restored data sequence to obtain a second difference, calculate the ratio between the second difference and the number of all data in the restored data sequence to obtain the data change speed of the restored data sequence, and normalize the data change speed in inverse proportion to obtain a first variable; wherein, It represents the exponential function with the natural constant e as the base, which is used for inverse proportional normalization; Calculating the first deviation from the mean of all data in the restored data sequence, accumulating all the first deviations from the mean to obtain the data fluctuation degree of the restored data sequence, and using the data fluctuation degree as the independent variable of the hyperbolic tangent function to obtain the second variable; The mean value between the first variable and the second variable is taken as the defect influence coefficient of any target area.

4. The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis according to claim 1 is characterized in that: The feature acquisition module obtains the strain trend feature value of any target area according to the data change trend in the test data sequence of any target area, including: Performing a second-order difference operation on the test data sequence to obtain a second-order difference sequence, and accumulating all data in the second-order difference sequence to obtain a first accumulated value; Calculating the second deviation from the mean of all data in the test data sequence, calculating, for any data in the test data sequence, the ratio between the second deviation from the mean of any data and the average value of all data in the test data sequence to obtain an increase ratio of the any data, and accumulating the increase ratios of all data in the test data sequence to obtain a second accumulated value; The sum of the first accumulated value and the second accumulated value is used as an independent variable of a hyperbolic tangent function to obtain a strain trend characteristic value of any target area.

5. The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis according to claim 1 is characterized in that: The abnormality assessment module obtains the non-connector interference coefficient of any target area according to the defect influence coefficient and the strain trend characteristic value of any target area, including: The defect influence coefficient and the strain trend characteristic value of any target area are weightedly summed to obtain the non-connector interference coefficient of any target area.

6. The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis according to claim 1 is characterized in that: The abnormality assessment module determines the quality problem of any one-way ceramic curtain wall according to the non-connector interference coefficient of each target area, including: For any target area, if the non-connector interference coefficient of any target area is within a preset non-connector interference coefficient range, then any target area is a defect area; If any of the one-way ceramic curtain walls has a defective area, it is determined that any of the one-way ceramic curtain walls has a quality problem; if any of the one-way ceramic curtain walls does not have a defective area, it is determined that any of the one-way ceramic curtain walls does not have a quality problem.

7. The one-way ceramic curtain wall stress intelligent monitoring and analysis system based on sensor analysis according to claim 1 is characterized in that: The data analysis module obtains at least one target area from all areas according to the abnormal coefficient of each area, including: For any area, if the abnormal coefficient of any area is greater than or equal to a preset abnormal coefficient threshold, the any area is taken as a target area.

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