CN118424240A - Building verticality monitoring method for building deviation correction - Google Patents
Building verticality monitoring method for building deviation correction Download PDFInfo
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Abstract
The application relates to the technical field of verticality measurement, in particular to a building verticality monitoring method for building deviation correction, which comprises the following steps: constructing a deflection movement degree value of each verticality based on the difference characteristics of the verticality and the deflection value of each projection section of the high-rise building to be detected; calculating a vertical offset stability index of the deflection movement degree value of each perpendicularity based on the deflection movement degree value of each perpendicularity; calculating a deflection movement influence index of each perpendicularity based on the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index; calculating the verticality measurement credibility of each verticality based on the deflection movement influence index of each verticality; and acquiring the verticality monitoring result of each projection section based on the verticality measurement reliability of each verticality. Therefore, building verticality monitoring of building deviation correction is realized, influence on verticality monitoring caused by the fact that the high-rise building to be detected is in a deflection motion state is avoided, and accuracy of verticality monitoring of the high-rise building is improved.
Description
Technical Field
The application relates to the technical field of verticality measurement, in particular to a building verticality monitoring method for building deviation correction.
Background
The building body building verticality is an important index for measuring the building construction quality, and the high-rise building has a certain limit of vertical deviation, which belongs to the normal and reasonable field, but when exceeding the allowed vertical deviation range of the high-rise building, the normal use of the high-rise building can be influenced, and even potential safety hazards can be brought. In order to enable the verticality of the high-rise building to be within the allowed vertical deviation range, the verticality of the high-rise building needs to be monitored in the building construction process, and further, the building body deviation correction can be carried out through the verticality monitoring result.
The prior art can monitor the verticality of the high-rise building in the construction process by using a laser plumb-bob method, and the laser plumb-bob method is used for measuring the verticality of the high-rise building in a sectional casting mode, but because the high-rise building is influenced by environmental loads such as wind power, sunlight and the like, the high-rise building is in a deflection motion state to a certain extent, the prior art monitors the verticality of the high-rise building by using the laser plumb-bob method, the monitoring result is greatly interfered by the external environment, and the accuracy of monitoring the verticality of the high-rise building is poor.
Disclosure of Invention
In order to solve the technical problems, the application provides a building verticality monitoring method for building deviation correction, which aims to solve the existing problems.
The building verticality monitoring method for building deviation correction adopts the following technical scheme:
The embodiment of the application provides a building verticality monitoring method for building deviation correction, which comprises the following steps:
collecting verticality and deviation values of verticality measured by each projection section of the high-rise building to be detected, and constructing a verticality sequence and a deviation value sequence of each projection section;
Constructing a deflection movement degree value of each perpendicularity based on the data difference characteristics in the perpendicularity sequence and the deviation value sequence;
Calculating a vertical offset stability index of the yaw movement degree value of each perpendicularity based on the difference of the yaw movement degree values between perpendicularity; calculating a deflection movement influence index of each perpendicularity based on the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index;
Calculating the verticality measurement credibility of each verticality based on the deflection movement influence index of each verticality and the difference between the deflection movement influence index and other verticality in the corresponding measurement section;
and acquiring the verticality monitoring result of each projection section based on the verticality measurement reliability of each verticality, and judging whether to correct the building body based on the verticality monitoring result.
In one embodiment, the obtaining the yaw movement degree value includes:
For each projection section, calculating the vertical disturbed degree of each perpendicularity based on the data difference in the perpendicularity sequence and the deviation value of each perpendicularity; constructing a deviation difference set of each deviation value based on the data difference in the deviation value sequence;
Calculating the degree of dispersion of the deviation difference set, and recording the degree as a first degree of dispersion; and taking the fusion value of the vertical disturbed degree of each perpendicularity and the first dispersion of the corresponding deviation value as the deflection movement degree value of each perpendicularity.
In one embodiment, the obtaining the vertical interference degree includes:
The average value of all verticality in the verticality sequence is recorded as a first average value;
calculating the difference between each perpendicularity in the perpendicularity sequence and the first average value, and marking the difference as a first difference;
And taking the fusion value of the deviation value of each perpendicularity in the perpendicularity sequence and the first difference as the perpendicularity interfered degree of each perpendicularity in the perpendicularity sequence.
In one embodiment, the obtaining of the deviation difference set includes:
Calculating the difference between any one deviation value and the rest deviation values in the deviation value sequence, and marking the difference as a second difference; and taking the sequence composed of all the second differences of any one of the deviation values as a deviation difference set of any one of the deviation values.
In one embodiment, the obtaining process of the vertical offset stability index is:
taking a sequence formed by deflection movement degree values of all verticality in the verticality sequence of each projection section as a deflection movement characteristic sequence of each projection section; calculating the local density of each deflection movement degree value in the deflection movement characteristic sequence of each projection section;
and calculating a vertical offset stability index of each deflection movement degree value based on each deflection movement degree value and the corresponding local density.
In one embodiment, the obtaining process of the vertical offset stability index is:
calculating the difference between any one deflection movement degree value and each remaining deflection movement degree value in the deflection movement characteristic sequence of each projection section, and marking the difference as a third difference;
And taking the fusion value of all the third differences of any one deflection movement degree value and the corresponding local density as a vertical deflection stability index of any one deflection movement degree value.
In one embodiment, the yaw movement impact index is: and the fusion value of the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index.
In one embodiment, the obtaining process of the vertical measurement reliability is:
In the perpendicularity sequence of each projection section, calculating the difference between any perpendicularity and each remaining perpendicularity, and marking the difference as a fourth difference; calculating the fusion value of all fourth differences of any verticality and recording the fusion value as a first fusion value;
And taking the fusion value of the first fusion value of any verticality and the yaw movement influence index as the verticality measurement credibility of any verticality.
In one embodiment, the acquiring process of the verticality monitoring result of each projection section is as follows: and the perpendicularity corresponding to the maximum perpendicularity measurement reliability in the perpendicularity sequence of each projection section.
In one embodiment, the judging whether to perform the building deviation correction based on the verticality monitoring result specifically includes:
if the verticality monitoring result of any one of the casting sections of the high-rise building to be detected is greater than the preset maximum layered verticality, correcting the deviation of the building body of any one of the casting sections; otherwise, the building body of any one of the projection sections is not corrected.
The application has at least the following beneficial effects:
The method comprises the steps of constructing deflection movement degree values of verticality by analyzing the verticality measured by each projection section of a high-rise building to be detected and the difference characteristics of deflection values of the verticality; calculating a vertical offset stability index of the deflection movement degree value of each perpendicularity based on the deflection movement degree value of each perpendicularity; calculating a deflection movement influence index of each perpendicularity based on the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index, and analyzing the influence of environmental load in the perpendicularity measuring process; calculating the verticality measurement credibility of each verticality based on the deflection movement influence index of each verticality and the difference between the deflection movement influence index and other verticality in the corresponding measurement section; the verticality monitoring results of each projection section are obtained based on the verticality measurement reliability of each verticality, so that the influence of the deflection motion state of the high-rise building to be detected on the verticality monitoring is avoided, the interference of the external environment on the verticality monitoring is reduced, and the verticality monitoring precision of the high-rise building is improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for monitoring building verticality for building deviation correction provided by the application;
FIG. 2 is a schematic diagram of element distribution in a yaw movement feature sequence;
FIG. 3 is a schematic diagram of a yaw movement degree value acquisition process;
fig. 4 is a schematic diagram of the process of obtaining the vertical offset stability index.
Detailed Description
In order to further describe the technical means and effects adopted by the application to achieve the preset aim, the following is a detailed description of a building verticality monitoring method for building deviation correction according to the application, which is provided by combining the accompanying drawings and the preferred embodiment, and the detailed description of the specific implementation, the structure, the characteristics and the effects thereof is as follows. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
The following specifically describes a specific scheme of the building verticality monitoring method for building deviation correction provided by the application with reference to the accompanying drawings.
The embodiment of the application provides a building verticality monitoring method for building deviation correction.
Specifically, a method for monitoring building verticality for correcting a building body is provided, referring to fig. 1, the method comprises the following steps:
step S1, collecting verticality and deviation values of verticality measured by each projection section of the high-rise building to be detected, and constructing a verticality sequence and a deviation value sequence of each projection section.
The application aims to measure the verticality of the high-rise building by using a laser plumb meter method, reduce the interference of the external environment on the verticality monitoring, and improve the accuracy of the verticality monitoring of the high-rise building.
In the method for measuring the verticality of the high-rise building by using a laser plumb measuring method, a sectional casting mode is adopted for measurement. As an example, the measurement method may include the steps of:
(1) The high-rise building to be detected with the height of 220m is divided into 5 casting sections, the high-rise building to be detected is a 50-layer building, wherein the first casting section is 1-7 layers, the second casting section is 7-20 layers, the third casting section is 20-33 layers, the fourth casting section is 33-46 layers, and the fifth casting section is 46-50 layers.
It should be noted that, the specific sectional casting mode implementation of the high-rise building to be detected can be set by the practitioner according to the actual scene, and the embodiment is not particularly limited.
(2) The verticality measurement is performed on each measured section of the high-rise building by using the laser plumb measuring method for n times to obtain the verticality and the deviation value of the verticality of each measured section of the high-rise building to be measured, in this embodiment, the value implementation person of the measurement number n can set the value of the measurement number n to 20, wherein the calculation of the laser plumb measuring method and the deviation value of the verticality is a known technology, and the specific process is not described again.
In the method for measuring the verticality of the high-rise building to be measured by using the laser plumb meter method, the high-rise building is in a deflection motion state to a certain extent in the measuring process, and the accuracy of measuring the verticality can be influenced. Therefore, in order to improve accuracy of verticality monitoring of a high-rise building, it is necessary to reduce influence of a yaw motion state on a verticality monitoring result.
In order to accurately analyze the influence generated by the deflection motion state, Z-Score normalization processing is carried out on the perpendicularity and the deviation value of the perpendicularity of each projection section on the high-rise building to be detected, sequences formed by the perpendicularity and the deviation value of the perpendicularity of each projection section after normalization processing according to the sequence formed by the measurement sequence are respectively used as the perpendicularity sequence and the deviation value sequence of each projection section, wherein the Z-Score normalization is a known technology, and the specific process is not repeated.
And S2, constructing a deflection movement degree value of each perpendicularity based on the data difference characteristics in the perpendicularity sequence and the deviation value sequence.
As an example, the present step may include the steps of:
Under normal conditions, the high-rise building is affected by environmental loads such as wind power and sunlight, and in the process of measuring the building verticality, the high-rise building is in a deflection motion state, so that the accuracy of monitoring the building verticality can be affected. Meanwhile, the projected sections with different layers on the high-rise building to be detected are affected by the deflection movement of the high-rise building, and in order to reduce the interference influence of the deflection movement of the high-rise building on the monitoring of each projected section, the analysis needs to be carried out based on the measured data characteristics of each projected section.
(1) Calculating the vertical disturbed degree of each perpendicularity based on the data difference in the perpendicularity sequence of each projection segment and the deviation value of each perpendicularity:
In general, for any one of the measurement segments, the larger the difference between the measured result of the perpendicularity of the measurement segment and the average level of the perpendicularity measurement on the measurement segment is, the more likely the measurement of the perpendicularity is affected by environmental interference, resulting in larger difference between the measurement of the perpendicularity of different times. Meanwhile, the larger the deviation value of the measured verticality is, the larger the deviation degree of the verticality measurement is represented to a certain extent, and the influence of environmental interference is more likely to be caused at the moment.
Calculating the average value of all verticality in the verticality sequence of each projection section, and marking the average value as a first average value;
calculating the difference between each perpendicularity in the perpendicularity sequence and the first average value, and marking the difference as a first difference;
And taking the fusion value of the deviation value of each perpendicularity in the perpendicularity sequence and the first difference as the perpendicularity interfered degree of each perpendicularity in the perpendicularity sequence, wherein the perpendicularity interfered degree of each perpendicularity in the perpendicularity sequence, the deviation value of each perpendicularity in the perpendicularity sequence and the first difference form a positive correlation relation.
Preferably, as an embodiment of the present application, the first difference may be an absolute value of a difference between each perpendicularity in the perpendicularity sequence and the first average value; the perpendicularity interfered by each perpendicularity in the perpendicularity sequence can be the product of the deviation value of each perpendicularity in the perpendicularity sequence and the first difference;
In other embodiments of the present application, the first difference may be a square of a difference between each perpendicularity in the sequence of perpendicularity and the first mean; the perpendicularity disturbed by each perpendicularity in the perpendicularity sequence may be a sum of a deviation value of each perpendicularity in the perpendicularity sequence and the first difference.
The larger the deviation value is, the larger the difference between the verticality and the mean value is in the verticality sequence is, the larger the abnormal characteristic of the verticality measurement is, and the larger the influence of the environmental interference is reflected, the larger the verticality interference is.
(2) Calculating the deflection movement degree value of each perpendicularity based on the difference between the deviation values of the perpendicularity and the vertical disturbed degree:
The greater the interference degree during the perpendicularity measurement, the greater the influence of the environmental load is represented, the higher the high-rise building has the characteristic of deflection movement, the greater the discrete characteristic of the difference between the measured deviation value and the deviation values measured for other times is, the greater the change between the measured perpendicularity deviation value and the deviation of other times is represented, and the higher the high-rise building has the characteristic of deflection movement during the measurement is represented.
(2.1) Constructing a deviation difference set of each deviation value based on the differences between the deviation values in the sequence of deviation values for each projection segment:
Calculating the difference between any one deviation value and each rest deviation value in the deviation value sequence of each projection section, and marking the difference as a second difference; and taking the sequence composed of all the second differences of any one of the deviation values as a deviation difference set of any one of the deviation values.
Preferably, as an embodiment of the present application, the second difference may be an absolute value of a difference between the any one deviation value and each of the remaining deviation values.
(2.2) Calculating a deflection movement degree value of each perpendicularity based on the deviation difference set of each deviation value and the vertical disturbed degree of each perpendicularity:
Calculating the discrete degree of a deviation difference set of the deviation values corresponding to the verticality in the verticality sequence of each projection section, and marking the discrete degree as first discrete degree; and taking the fusion value of the vertical disturbed degree of each verticality in the verticality sequence and the first dispersion as the deflection movement degree value of each verticality in the verticality sequence, wherein the deflection movement degree value of each verticality in the verticality sequence respectively forms a positive correlation with the vertical disturbed degree of each verticality in the verticality sequence and the first dispersion.
Preferably, as an embodiment of the present application, the first dispersion may be a dispersion coefficient of all elements in the deviation difference set of the deviation values corresponding to the verticality; the deflection movement degree value of each perpendicularity in the perpendicularity sequence can be a normalized value of the product of the vertical disturbed degree of each perpendicularity in the perpendicularity sequence and the first dispersion degree;
In other embodiments of the present application, the first dispersion may be a standard deviation of all elements in a deviation difference set of deviation values corresponding to the verticals; the value of the degree of deflection movement of each perpendicularity in the perpendicularity sequence can be a normalized value of the sum value of the vertical disturbed degree of each perpendicularity in the perpendicularity sequence and the first dispersion.
The larger the vertical disturbance degree is, the larger the influence of environmental load on the vertical measurement is, the higher the high-rise building has the characteristic of deflection movement, meanwhile, the larger the discrete coefficient is, the stronger the discrete characteristic among deflection differences is, and the higher the deflection movement degree of the high-rise building is, the larger the deflection movement degree value is.
Step S3, calculating a vertical offset stability index of the deflection movement degree value of each perpendicularity based on the deflection movement degree value of each perpendicularity; and calculating the deflection movement influence index of each perpendicularity based on the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index.
As an example, the present step may include the steps of:
Under normal conditions, the closer the deflection movement degree measured by the perpendicularity at different times is, that is, the smaller the variation of the deflection movement degree value is, the more the characteristic that the high-rise building has stable deflection during the measurement at the time can be reflected, that is, the higher the vertical deflection stability of the high-rise building during the measurement at the time is. Meanwhile, under normal conditions, when the high-rise building is in a deflection motion state, the deflection motion degree of the measurement of the perpendicularity in the process is changed greatly, the local density of the deflection motion degree value of the measurement of the perpendicularity in the process is lower, and when the high-rise building is in a deflection stable state, the deflection motion degree value of the measurement of the perpendicularity in the process has higher consistency, namely, the higher the local density of the deflection motion degree value of the measurement of the perpendicularity is, the smaller the variation of deflection motion of the measurement of the perpendicularity is, and the vertical deflection of the high-rise building tends to be in a stable state.
(1) Taking a sequence formed by deflection movement degree values of all verticality in the verticality sequence of each projection section as a deflection movement characteristic sequence of each projection section; in order to more accurately reflect the change of the deflection motion of the high-rise building, the deflection movement characteristic sequence of each projection section is used as the input of a DPC density peak value clustering algorithm (DENSITY PEAKS Clustering, DPC), wherein the neighborhood cut-off distance is set to be 10, and it is to be noted that a neighborhood cut-off distance implementer can set the neighborhood cut-off distance by himself. The DPC density peak clustering algorithm is a well-known technique, and the specific process is not described in detail. The distribution diagram of elements in the yaw movement characteristic sequence is shown in fig. 2, wherein the abscissa represents the measurement time, and the ordinate represents the yaw movement degree value.
It should be noted that, the embodiment provides only one local density obtaining method for obtaining the local density of each yaw movement degree value, and there are many existing local density obtaining methods, and an implementer may also use other density peak clustering algorithms to obtain the local density of each yaw movement degree value, which is not limited in particular.
(2) Calculating a vertical offset stability index of each yaw movement degree value in the yaw movement characteristic sequence of each projection segment based on each yaw movement degree value and the corresponding local density:
Calculating the difference between any one deflection movement degree value and each remaining deflection movement degree value in the deflection movement characteristic sequence of each projection section, and marking the difference as a third difference;
And taking the fusion value of all the third differences of any one of the deflection movement degree values and the local density as a vertical deflection stability index of any one of the deflection movement degree values, wherein the vertical deflection stability index of any one of the deflection movement degree values and the local density of any one of the deflection movement degree values form a positive correlation and a negative correlation with all the third differences of any one of the deflection movement degree values.
Preferably, as an embodiment of the present application, a sum of each of the third differences of the arbitrary yaw movement degree values and a preset error parameter is used as a denominator, and a local density of the arbitrary yaw movement degree value is used as a numerator; the ratio of the numerator to the denominator is marked as a first ratio; the vertical offset stability index of any one yaw movement degree value may be a cumulative sum of all first ratios of any one yaw movement degree value. The value of the preset error parameter can be set by the operator, and the preset error parameter is set to 1 in this embodiment, which is used for avoiding the denominator being 0.
The larger the local density is, the smaller the difference between the element values in the deflection movement characteristic sequence is, the closer the deflection movement degree of the verticality measurement is, and the smaller the variation of deflection movement of the verticality measurement is, namely the more the vertical deflection of the high-rise building tends to be in a stable state, the larger the vertical deflection stability index is.
(3) Calculating a deflection movement influence index of each perpendicularity based on the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index:
And taking a fusion value of the deflection movement degree value of each perpendicularity and the vertical deflection stability index of the deflection movement degree value as a deflection movement influence index of each perpendicularity, wherein the deflection movement influence index of each perpendicularity and the deflection movement degree value of each perpendicularity form a positive correlation, and form a negative correlation with the vertical deflection stability index of the deflection movement degree value of each perpendicularity.
Preferably, as an embodiment of the present application, the yaw movement influence index of each perpendicularity may be a ratio of a yaw movement degree value of each perpendicularity to a vertical offset stability index of the yaw movement degree value;
In other embodiments of the present application, the calculation result of an exponential function is calculated, wherein the natural constant is used as a base, and the negative number of the vertical offset stability exponent is used as an exponent; the yaw movement influence index of each perpendicularity may be a product of a yaw movement degree value of each perpendicularity and the calculation result.
The smaller the deflection movement degree value is, the smaller the influence of the deflection swing of the building is caused by the measurement, the larger the vertical deflection stability index is, and the higher the stability of the vertical deflection of the high-rise building is, namely the smaller the influence on the verticality measurement of the high-rise building is, the smaller the deflection movement influence index is.
And S4, calculating the verticality measurement credibility of each verticality based on the deflection movement influence indexes of each verticality and the difference between the deflection movement influence indexes and other verticalities in the corresponding measurement section.
As an example, the present step may include the steps of:
In order to reduce the interference of the external environment on the verticality monitoring to the greatest extent and improve the accuracy of the verticality monitoring of the high-rise building, the reliability of the verticality measurement result of each high-rise building needs to be measured. In general, the smaller the deflection movement influence index is, the smaller the influence on the verticality measurement of the high-rise building is, and the higher the credibility of the verticality measurement result is; meanwhile, the smaller the verticality fluctuation degree generated during certain verticality measurement is, the different verticality measurement results are close to the verticality of the measurement, and the higher the credibility degree of the measurement results of the verticality at the moment can be.
In the perpendicularity sequence of each projection section, calculating the difference between any perpendicularity and each remaining perpendicularity, and recording the difference as a fourth difference; calculating the fusion value of all fourth differences of any verticality and recording the fusion value as a first fusion value;
And taking the fusion value of the first fusion value of any verticality and the yaw movement influence index as the vertical measurement credibility of any verticality, wherein the vertical measurement credibility of any verticality respectively forms a negative correlation with the first fusion value of any verticality and the yaw movement influence index.
Preferably, as an embodiment of the present application, the fourth difference may be an absolute value of a difference between any one of verticalities and each of remaining verticalities; the reliability of the vertical measurement of any verticality may be a calculation result of an exponential function with a natural constant as a base and a negative number of a product of the first fusion value of any verticality and the yaw movement influence exponent as an exponent;
In other embodiments of the present application, the reliability of the vertical measurement of the arbitrary perpendicularity may be a normalized value of the inverse of the product of the first fusion value of the arbitrary perpendicularity and the yaw movement influence index.
The smaller the first fusion value is, the closer the verticality measurement results of other times are to the verticality measurement result of the time, and the higher the credibility of the measurement results of the verticality at the moment is represented; the smaller the first fusion value is, the smaller the deflection movement influence index is, which shows that the influence of the deflection movement state on the verticality measurement of the high-rise building is smaller, and the smaller the verticality fluctuation degree generated during the verticality measurement is, namely the higher the credibility of the verticality measurement result is, the higher the verticality measurement credibility is.
And S5, acquiring the verticality monitoring result of each projection section based on the verticality measurement reliability of each verticality, and judging whether to correct the building body based on the verticality monitoring result.
As an example, the present step may include the steps of:
(1) And for each casting section, obtaining the maximum value of the verticality measurement credibility of all verticalities in the verticality sequence, and taking the verticality corresponding to the maximum value as a verticality monitoring result of the casting section.
The reliability of the vertical measurement reflects the reliability of the vertical measurement, namely, the larger the reliability of the vertical measurement is, the smaller the influence of the deflection movement state on the measurement result is, the higher the reliability of the vertical measurement result is, and the more accurate the measured vertical degree is.
(2) Comparing the verticality monitoring result of each casting section on the high-rise building to be detected with the preset maximum layering verticality allowed by the design requirement, and correcting the building body of the casting section in a sectional control mode if the verticality monitoring result of each casting section is greater than the preset maximum layering verticality allowed by the design requirement; otherwise, the building body of the projection section does not need to be corrected. It should be noted that, the value of the preset maximum layering verticality allowed by the design requirement can be set by the user, and the preset maximum layering verticality allowed by the design requirement is set to be 1/1000 in this embodiment.
The schematic diagram of the process of obtaining the yaw movement degree value is shown in fig. 3, and the schematic diagram of the process of obtaining the vertical offset stability index is shown in fig. 4.
In summary, the embodiment of the application constructs the deflection movement degree value of each verticality by analyzing the verticality measured by each projection section of the high-rise building to be detected and the difference characteristics of the deflection value; calculating a vertical offset stability index of the deflection movement degree value of each perpendicularity based on the deflection movement degree value of each perpendicularity; calculating a deflection movement influence index of each perpendicularity based on the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index, and analyzing the influence of environmental load in the perpendicularity measuring process; calculating the verticality measurement credibility of each verticality based on the deflection movement influence index of each verticality and the difference between the deflection movement influence index and other verticality in the corresponding measurement section; the verticality monitoring results of each projection section are obtained based on the verticality measurement reliability of each verticality, so that the influence of the deflection motion state of the high-rise building to be detected on the verticality monitoring is avoided, the interference of the external environment on the verticality monitoring is reduced, and the verticality monitoring precision of the high-rise building is improved.
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this application. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The embodiments of the present application are described in a progressive manner, and the same or similar parts of the embodiments are all referred to each other, and each embodiment is mainly different from other embodiments.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; the technical solutions described in the foregoing embodiments are modified or some of the technical features are replaced equivalently, so that the essence of the corresponding technical solutions does not deviate from the scope of the technical solutions of the embodiments of the present application, and all the technical solutions are included in the protection scope of the present application.
Claims (10)
1. The building verticality monitoring method for building deviation correction is characterized by comprising the following steps of:
collecting verticality and deviation values of verticality measured by each projection section of the high-rise building to be detected, and constructing a verticality sequence and a deviation value sequence of each projection section;
Constructing a deflection movement degree value of each perpendicularity based on the data difference characteristics in the perpendicularity sequence and the deviation value sequence;
Calculating a vertical offset stability index of the yaw movement degree value of each perpendicularity based on the difference of the yaw movement degree values between the perpendicularity; calculating a deflection movement influence index of each perpendicularity based on the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index;
Calculating the verticality measurement credibility of each verticality based on the deflection movement influence index of each verticality and the difference between the deflection movement influence index and other verticality in the corresponding measurement section;
and acquiring the verticality monitoring result of each projection section based on the verticality measurement reliability of each verticality, and judging whether to correct the building body based on the verticality monitoring result.
2. The building verticality monitoring method for building deviation rectification according to claim 1, wherein the obtaining process of the deflection movement degree value is as follows:
For each projection section, calculating the vertical disturbed degree of each perpendicularity based on the data difference in the perpendicularity sequence and the deviation value of each perpendicularity; constructing a deviation difference set of each deviation value based on the data difference in the deviation value sequence;
Calculating the degree of dispersion of the deviation difference set, and recording the degree as a first degree of dispersion; and taking the fusion value of the vertical disturbed degree of each perpendicularity and the first dispersion of the corresponding deviation value as the deflection movement degree value of each perpendicularity.
3. The building verticality monitoring method for building deviation rectification according to claim 2, wherein the vertical disturbed degree obtaining process is as follows:
The average value of all verticality in the verticality sequence is recorded as a first average value;
calculating the difference between each perpendicularity in the perpendicularity sequence and the first average value, and marking the difference as a first difference;
And taking the fusion value of the deviation value of each perpendicularity in the perpendicularity sequence and the first difference as the perpendicularity interfered degree of each perpendicularity in the perpendicularity sequence.
4. The building verticality monitoring method for building deviation rectification according to claim 2, wherein the obtaining process of the deviation difference set is as follows:
Calculating the difference between any one deviation value and the rest deviation values in the deviation value sequence, and marking the difference as a second difference; and taking the sequence composed of all the second differences of any one of the deviation values as a deviation difference set of any one of the deviation values.
5. The building verticality monitoring method for building deviation rectification according to claim 1, wherein the obtaining process of the vertical deviation stability index is as follows:
taking a sequence formed by deflection movement degree values of all verticality in the verticality sequence of each projection section as a deflection movement characteristic sequence of each projection section; calculating the local density of each deflection movement degree value in the deflection movement characteristic sequence of each projection section;
and calculating a vertical offset stability index of each deflection movement degree value based on each deflection movement degree value and the corresponding local density.
6. The building verticality monitoring method for building deviation rectification according to claim 5, wherein the obtaining process of the vertical deviation stability index is:
calculating the difference between any one deflection movement degree value and each remaining deflection movement degree value in the deflection movement characteristic sequence of each projection section, and marking the difference as a third difference;
And taking the fusion value of all the third differences of any one deflection movement degree value and the corresponding local density as a vertical deflection stability index of any one deflection movement degree value.
7. The building verticality monitoring method for building deviation rectification according to claim 1, wherein the yaw movement influence index is: and the fusion value of the deflection movement degree value of each perpendicularity and the corresponding vertical deflection stability index.
8. The building verticality monitoring method for building deviation rectification according to claim 1, wherein the obtaining process of the vertical measurement reliability is as follows:
In the perpendicularity sequence of each projection section, calculating the difference between any perpendicularity and each remaining perpendicularity, and marking the difference as a fourth difference; calculating the fusion value of all fourth differences of any verticality and recording the fusion value as a first fusion value;
And taking the fusion value of the first fusion value of any verticality and the yaw movement influence index as the verticality measurement credibility of any verticality.
9. The building perpendicularity monitoring method for building correction according to claim 1, wherein the perpendicularity monitoring result of each projection section is obtained by the following steps: and the perpendicularity corresponding to the maximum perpendicularity measurement reliability in the perpendicularity sequence of each projection section.
10. The building perpendicularity monitoring method for building correction according to claim 1, wherein the judging whether to perform building correction based on the perpendicularity monitoring result is specifically as follows:
if the verticality monitoring result of any one of the casting sections of the high-rise building to be detected is greater than the preset maximum layered verticality, correcting the deviation of the building body of any one of the casting sections; otherwise, the building body of any one of the projection sections is not corrected.
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Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5774210A (en) * | 1995-04-10 | 1998-06-30 | Sam Jung Co., Ltd. | Perpendicularity measuring method and an apparatus thereof |
| US20140299564A1 (en) * | 2011-11-25 | 2014-10-09 | Handing Lin | Monitoring apparatus and control method of crane hoisting vertical deviation angle |
| KR101751991B1 (en) * | 2017-03-21 | 2017-06-30 | 테이즈엔지니어링(주) | High-rise management surveying method |
| CN108088409A (en) * | 2017-12-15 | 2018-05-29 | 南昌工程学院 | A measurement control method for bridge construction |
| CN112070109A (en) * | 2020-07-21 | 2020-12-11 | 广东工业大学 | An abnormal energy consumption detection method for horseshoe kiln based on improved density peak clustering |
| JP7085249B1 (en) * | 2021-05-10 | 2022-06-16 | 朝日エティック株式会社 | Tilt angle measurement method, tilt detection method, and monitoring system |
| CN115540823A (en) * | 2022-11-28 | 2022-12-30 | 中国水利水电第七工程局有限公司 | Variable-section ultrahigh pier verticality measuring and controlling method |
| CN116022194A (en) * | 2022-12-26 | 2023-04-28 | 北京唐智科技发展有限公司 | Method, device and medium for monitoring running posture of vehicle by using inclination angle |
| CN116448034A (en) * | 2023-05-05 | 2023-07-18 | 山东兴华防水保温工程有限公司 | Waterproof material on-line measuring equipment |
| CN116772748A (en) * | 2023-06-25 | 2023-09-19 | 上海市建筑科学研究院有限公司 | High-rise building verticality monitoring method based on three-dimensional laser scanning technology |
| CN116817799A (en) * | 2023-08-29 | 2023-09-29 | 山东卓越精工集团有限公司 | Verticality measuring system for super high-rise building |
| CN220813869U (en) * | 2023-09-22 | 2024-04-19 | 山东隆达伟业地基加固技术有限公司 | Grouting pipe |
| CN220888618U (en) * | 2023-09-18 | 2024-05-03 | 山东隆达伟业地基加固技术有限公司 | Foundation reinforcing pile |
| CN117990051A (en) * | 2024-02-01 | 2024-05-07 | 中交第三航务工程局有限公司 | A large diameter pipe pile verticality measuring device and measuring method |
| CN118089661A (en) * | 2024-03-05 | 2024-05-28 | 北京天润建设有限公司 | Tower crane verticality detection device and detection method |
| CN118392082A (en) * | 2024-06-26 | 2024-07-26 | 青岛农业大学 | Rapid detection method for verticality of steel structure based on artificial intelligence |
-
2024
- 2024-07-01 CN CN202410865209.8A patent/CN118424240B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5774210A (en) * | 1995-04-10 | 1998-06-30 | Sam Jung Co., Ltd. | Perpendicularity measuring method and an apparatus thereof |
| US20140299564A1 (en) * | 2011-11-25 | 2014-10-09 | Handing Lin | Monitoring apparatus and control method of crane hoisting vertical deviation angle |
| KR101751991B1 (en) * | 2017-03-21 | 2017-06-30 | 테이즈엔지니어링(주) | High-rise management surveying method |
| CN108088409A (en) * | 2017-12-15 | 2018-05-29 | 南昌工程学院 | A measurement control method for bridge construction |
| CN112070109A (en) * | 2020-07-21 | 2020-12-11 | 广东工业大学 | An abnormal energy consumption detection method for horseshoe kiln based on improved density peak clustering |
| JP7085249B1 (en) * | 2021-05-10 | 2022-06-16 | 朝日エティック株式会社 | Tilt angle measurement method, tilt detection method, and monitoring system |
| CN115540823A (en) * | 2022-11-28 | 2022-12-30 | 中国水利水电第七工程局有限公司 | Variable-section ultrahigh pier verticality measuring and controlling method |
| CN116022194A (en) * | 2022-12-26 | 2023-04-28 | 北京唐智科技发展有限公司 | Method, device and medium for monitoring running posture of vehicle by using inclination angle |
| CN116448034A (en) * | 2023-05-05 | 2023-07-18 | 山东兴华防水保温工程有限公司 | Waterproof material on-line measuring equipment |
| CN116772748A (en) * | 2023-06-25 | 2023-09-19 | 上海市建筑科学研究院有限公司 | High-rise building verticality monitoring method based on three-dimensional laser scanning technology |
| CN116817799A (en) * | 2023-08-29 | 2023-09-29 | 山东卓越精工集团有限公司 | Verticality measuring system for super high-rise building |
| CN220888618U (en) * | 2023-09-18 | 2024-05-03 | 山东隆达伟业地基加固技术有限公司 | Foundation reinforcing pile |
| CN220813869U (en) * | 2023-09-22 | 2024-04-19 | 山东隆达伟业地基加固技术有限公司 | Grouting pipe |
| CN117990051A (en) * | 2024-02-01 | 2024-05-07 | 中交第三航务工程局有限公司 | A large diameter pipe pile verticality measuring device and measuring method |
| CN118089661A (en) * | 2024-03-05 | 2024-05-28 | 北京天润建设有限公司 | Tower crane verticality detection device and detection method |
| CN118392082A (en) * | 2024-06-26 | 2024-07-26 | 青岛农业大学 | Rapid detection method for verticality of steel structure based on artificial intelligence |
Non-Patent Citations (1)
| Title |
|---|
| 黄加旺 等: "高层建筑垂直度检测方法的探讨", 测绘通报, no. 7, 31 July 2011 (2011-07-31) * |
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