CN111879456B - Building curtain wall safety detection method and system - Google Patents
Building curtain wall safety detection method and system Download PDFInfo
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- CN111879456B CN111879456B CN202010731703.7A CN202010731703A CN111879456B CN 111879456 B CN111879456 B CN 111879456B CN 202010731703 A CN202010731703 A CN 202010731703A CN 111879456 B CN111879456 B CN 111879456B
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- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
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Abstract
The invention discloses a method and a system for detecting the safety of a building curtain wall. When the scheme is applied, firstly, each acquired index parameter of the target building curtain wall is analyzed to acquire the target parameter, secondly, a first parameter set is screened, a second parameter set is extracted to serve as a reference parameter set, the reference parameter set forms a target sequence unit, further, stress distribution information is acquired, tag information is found out, whether the tag information changes relative to the index information in the reference information or not is judged, if yes, a corresponding potential safety hazard classification table is generated according to the determined potential safety hazard coefficient, the safety weight value of the target building curtain wall is further determined, finally, the safety weight value is compared with a preset safety rating weight table and judged, and if not, the safety level of the target building curtain wall is calculated according to the target weight value. Therefore, the safety grade of the building curtain wall can be accurately and effectively detected, and the accuracy of safety judgment of the building curtain wall can be further ensured.
Description
Technical Field
The disclosure relates to the technical field of building structure safety detection, in particular to a method and a system for detecting the safety of a building curtain wall.
Background
The building curtain wall is a non-bearing outer wall enclosure of a building and mainly comprises a panel and a supporting structure. With the rapid development of modern buildings and the continuous aggravation of the competition of the curtain wall industry, the safety detection of the curtain wall is a crucial point. However, there are various methods for detecting the safety of the building curtain wall, such as: visual inspection, manual testing, vibration sensor and the like, which are based on different principles, have different and respectively long effects on realizing safety detection of the building curtain wall. The visual method and the manual method are commonly used methods, but the method cannot accurately and effectively detect the safety level of the building curtain wall, so that the accuracy of the safety judgment of the building curtain wall is influenced.
Disclosure of Invention
In order to solve the technical problems in the related art, the disclosure provides a method and a system for detecting the safety of a building curtain wall.
The invention provides a method for detecting the safety of a building curtain wall, which comprises the following steps:
analyzing and acquiring each index parameter of the target building curtain wall based on the building curtain wall parameter corresponding to the acquired target building curtain wall and the structural information of the curtain wall panel so as to acquire the target parameter in the safety level included in each index parameter of the target building curtain wall;
screening a first parameter set which has abnormality relative to an index sequence corresponding to each index parameter of the target building curtain wall in the target parameters, extracting a second parameter set of which the distribution locus of the index parameters does not change along with the change of the first parameter set with abnormality in each index parameter of the target building curtain wall to serve as a reference parameter set of each index parameter of the target building curtain wall, and forming a target sequence unit by the reference parameter set to serve as reference information for judging the safety of the target building curtain wall;
acquiring stress distribution information corresponding to a target building curtain wall based on a preset time period, and searching label information corresponding to a target label from the stress distribution information corresponding to the target building curtain wall;
judging whether label information corresponding to a target label in the stress distribution information corresponding to the target building curtain wall changes relative to index information in the reference information;
if the change occurs, determining label information corresponding to a target label found from the stress distribution information corresponding to the target building curtain wall as a potential safety hazard coefficient of the target building curtain wall;
generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determining a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information;
comparing the safety weight value with a preset safety rating weight table, and judging whether the safety weight value is within the weight value range in the preset safety rating weight table;
and if the target weight value is not in the weight value range, calculating the safety level of the target building curtain wall according to the target weight value in a preset safety grading weight table.
Preferably, the stress distribution information corresponding to the target building curtain wall is obtained based on a preset time period, and the label information corresponding to the target label is found from the stress distribution information corresponding to the target building curtain wall, which specifically includes:
acquiring building curtain wall quality data corresponding to the detection area of the target building curtain wall and daily detection data corresponding to the detection area based on a preset time period; in the method, the daily detection data are used for representing data obtained by detecting the detection area corresponding to the target building curtain wall within a preset time period;
acquiring a quality database corresponding to the building curtain wall quality data; the quality database comprises preset quality data grades, and the quality data grades are used for comparing with the quality data of the building curtain wall;
and acquiring stress distribution information corresponding to a target building curtain wall based on the building curtain wall quality data and daily detection data, searching a target label matched with the target building curtain wall from the stress distribution information corresponding to the target building curtain wall and a quality database, and determining label information corresponding to the target label.
Preferably, generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determining a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table, and the stress distribution information specifically includes:
creating a safety protection strategy of the target building curtain wall according to the potential safety hazard coefficient;
generating a corresponding potential safety hazard classification table based on the potential safety hazard coefficient to determine a safety log record and corresponding information of the safety protection strategy, and determining a safety protection time period corresponding to the target building curtain wall based on the safety log record and the corresponding information;
calculating the coefficient proportion of the potential safety hazard coefficient to the safety evaluation coefficient in the potential safety hazard classification table based on the safety protection time period;
acquiring a linear correlation value of the safety protection strategy, and determining a safety protection parameter of the safety protection strategy based on the coefficient proportion and the linear correlation value of the safety protection strategy;
and determining the safety weight value of the target building curtain wall based on the safety protection parameter, the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information.
Preferably, the calculating the safety level of the target building curtain wall according to a target weight value in a preset safety score weight table specifically includes:
acquiring a weight value set with a standard score larger than a set value according to a preset safety score weight table, and dividing the weight value set into a plurality of weight values by a preset classification method;
calculating the measured value and the safety critical value of the detection area corresponding to the target building curtain wall, and further comprising: determining a safety level corresponding to an actual measurement value of a detection area in a target building curtain wall;
taking one of the weighted values as a target weighted value, sequentially comparing the rest weighted values with the measured value and the safety critical value according to the weighted values, and marking and storing a value matched with the measured value and the target weighted value and a value matched with the target weighted value and the safety critical value;
and if the marked and stored value reaches the target weight value, calculating the marked value to obtain the safety level of the target building curtain wall.
Preferably, each index parameter of the target building curtain wall acquired based on the acquired building curtain wall parameter corresponding to the target building curtain wall and the structural information analysis of the curtain wall panel is used for acquiring the target parameter in the security level included in each index parameter of the target building curtain wall, and the method specifically includes the following steps:
acquiring curtain wall panel type information of the target building curtain wall based on building curtain wall parameters corresponding to the target building curtain wall and structural information corresponding to a curtain wall panel; the building curtain wall parameters and the structural information respectively comprise a plurality of information characteristic parameter values with different weight values;
acquiring a target characteristic parameter of the target building curtain wall at one information characteristic parameter value of the building curtain wall parameters, and determining an information characteristic parameter value with a minimum weight value in the structural information as a first information characteristic parameter value;
analyzing target characteristic parameters in the building curtain wall parameters according to a preset analysis mode to obtain index parameters corresponding to the target building curtain wall, and acquiring target parameters in safety levels included in the index parameters of the target building curtain wall according to the target characteristic parameters and the index parameters.
The invention also provides a building curtain wall safety detection system, which comprises a detection center and detection equipment, wherein the detection center is communicated with the detection equipment;
the detection center is used for:
analyzing and acquiring each index parameter of the target building curtain wall based on the building curtain wall parameter corresponding to the acquired target building curtain wall and the structural information of the curtain wall panel so as to acquire the target parameter in the safety level included in each index parameter of the target building curtain wall;
screening a first parameter set which has abnormality relative to an index sequence corresponding to each index parameter of the target building curtain wall in the target parameters, extracting a second parameter set of which the distribution locus of the index parameters does not change along with the change of the first parameter set with abnormality in each index parameter of the target building curtain wall to serve as a reference parameter set of each index parameter of the target building curtain wall, and forming a target sequence unit by the reference parameter set to serve as reference information for judging the safety of the target building curtain wall;
acquiring stress distribution information corresponding to a target building curtain wall based on a preset time period, and searching label information corresponding to a target label from the stress distribution information corresponding to the target building curtain wall;
judging whether label information corresponding to a target label in the stress distribution information corresponding to the target building curtain wall changes relative to index information in the reference information;
if the change occurs, determining label information corresponding to a target label found from the stress distribution information corresponding to the target building curtain wall as a potential safety hazard coefficient of the target building curtain wall;
generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determining a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information;
comparing the safety weight value with a preset safety rating weight table, and judging whether the safety weight value is within the weight value range in the preset safety rating weight table;
and if the target weight value is not in the weight value range, calculating the safety level of the target building curtain wall according to the target weight value in a preset safety grading weight table.
Preferably, the detection center is specifically configured to:
acquiring building curtain wall quality data corresponding to the detection area of the target building curtain wall and daily detection data corresponding to the detection area based on a preset time period; the daily detection data are used for representing data obtained by detecting the detection area corresponding to the target building curtain wall within a preset time period;
acquiring a quality database corresponding to the building curtain wall quality data; the quality database comprises preset quality data grades, and the quality data grades are used for comparing with the quality data of the building curtain wall;
and acquiring stress distribution information corresponding to a target building curtain wall based on the building curtain wall quality data and daily detection data, searching a target label matched with the target building curtain wall from the stress distribution information corresponding to the target building curtain wall and a quality database, and determining label information corresponding to the target label.
Preferably, the detection center is specifically configured to:
creating a safety protection strategy of the target building curtain wall according to the potential safety hazard coefficient;
generating a corresponding potential safety hazard classification table based on the potential safety hazard coefficient to determine a safety log record and corresponding information of the safety protection strategy, and determining a safety protection time period corresponding to the target building curtain wall based on the safety log record and the corresponding information;
calculating the coefficient proportion of the potential safety hazard coefficient to the safety evaluation coefficient in the potential safety hazard classification table based on the safety protection time period;
acquiring a linear correlation value of the safety protection strategy, and determining a safety protection parameter of the safety protection strategy based on the coefficient proportion and the linear correlation value of the safety protection strategy;
and determining the safety weight value of the target building curtain wall based on the safety protection parameter, the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information.
Preferably, the detection center is specifically configured to:
acquiring a weight value set with a standard score larger than a set value according to a preset safety score weight table, and dividing the weight value set into a plurality of weight values by a preset classification method;
calculating the measured value and the safety critical value of the detection area corresponding to the target building curtain wall, and further comprising: determining a safety level corresponding to an actual measurement value of a detection area in a target building curtain wall;
taking one of the weighted values as a target weighted value, sequentially comparing the rest weighted values with the measured value and the safety critical value according to the weighted values, marking and storing the value of the measured value matched with the target weighted value and the value of the safety critical value matched with the target weighted value,
and if the marked and stored value reaches the target weight value, calculating the marked value to obtain the safety level of the target building curtain wall.
Preferably, the detection center is specifically configured to:
acquiring curtain wall panel type information of the target building curtain wall based on building curtain wall parameters corresponding to the target building curtain wall and structural information corresponding to a curtain wall panel; the building curtain wall parameters and the structural information respectively comprise a plurality of information characteristic parameter values with different weight values;
acquiring a target characteristic parameter of the target building curtain wall at one information characteristic parameter value of the building curtain wall parameters, and determining an information characteristic parameter value with a minimum weight value in the structural information as a first information characteristic parameter value;
analyzing target characteristic parameters in the building curtain wall parameters according to a preset analysis mode to obtain index parameters corresponding to the target building curtain wall, and acquiring target parameters in safety levels included in the index parameters of the target building curtain wall according to the target characteristic parameters and the index parameters.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects.
The invention provides a method and a system for detecting the safety of a building curtain wall, which comprises the steps of firstly analyzing each acquired index parameter of a target building curtain wall to acquire the target parameter in the safety level included in each index parameter, secondly screening a first parameter set, extracting a second parameter set to serve as a reference parameter set of each index parameter, forming a target sequence unit by the reference parameter set to serve as reference information for judging the safety of the target building curtain wall, further acquiring stress distribution information corresponding to the target building curtain wall, finding out label information corresponding to a target label from the stress distribution information, judging whether the label information changes relative to the index information in the reference information, if so, determining the label information corresponding to the target label found from the stress distribution information as a potential safety hazard coefficient of the target building curtain wall, and generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and further determining a safety weight value of the target building curtain wall, finally comparing the safety weight value with a preset safety rating weight table, judging whether the safety weight value is within a weight value range in the preset safety rating weight table, and if not, calculating the safety level of the target building curtain wall according to the target weight value in the preset safety rating weight table. Therefore, the safety grade of the building curtain wall can be accurately and effectively detected on the premise of safety detection of the building curtain wall by a visual detection method and a manual test method, and the accuracy of safety judgment of the building curtain wall can be further ensured.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a communication architecture diagram of a building curtain wall safety detection system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for detecting safety of a building curtain wall according to an embodiment of the present invention.
Fig. 3 is a block diagram of a safety detection device for a building curtain wall according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a hardware structure of a detection center according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
To solve the above technical problem, the present disclosure provides a communication architecture diagram of a building curtain wall safety detection system 100 as shown in fig. 1. The building curtain wall safety detection system 100 may include a detection center 200 and a detection device 300. In this embodiment, the detection center 200 may be a desktop computer, a mobile phone, or the like, and the detection device 300 may be a detection device capable of detecting data of the curtain wall of the target building.
Fig. 2 is a flow chart of a method for detecting the safety of a building curtain wall according to the present disclosure, which may include the following.
Step S110, analyzing and acquiring each index parameter of the target building curtain wall based on the building curtain wall parameter corresponding to the acquired target building curtain wall and the structural information of the curtain wall panel so as to acquire the target parameter in the safety level included in each index parameter of the target building curtain wall.
Step S120, a first parameter set with abnormality is screened from the target parameters relative to the index sequence corresponding to each index parameter of the target building curtain wall, a second parameter set with an abnormal index parameter distribution track unchanged along with the change of the first parameter set is extracted from each index parameter of the target building curtain wall to serve as a reference parameter set of each index parameter of the target building curtain wall, and the reference parameter set is combined into a target sequence unit to serve as reference information for judging the safety of the target building curtain wall.
Step S130, acquiring stress distribution information corresponding to the target building curtain wall based on a preset time period, and searching label information corresponding to the target label from the stress distribution information corresponding to the target building curtain wall.
Step S140, determining whether label information corresponding to a target label in the stress distribution information corresponding to the target building curtain wall changes relative to index information in the reference information.
And S150, if the change occurs, determining label information corresponding to the target label found from the stress distribution information corresponding to the target building curtain wall as a potential safety hazard coefficient of the target building curtain wall.
And S160, generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determining a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information.
Step S170, comparing the security weight value with a preset security score weight table, and judging whether the security weight value is within a weight value range in the preset security score weight table.
And S180, if the target weight value is not in the weight value range, calculating the safety level of the target building curtain wall according to the target weight value in a preset safety rating weight table.
By executing the contents described in steps S110 to S180, analyzing each obtained index parameter of the target building curtain wall, collecting the target parameter in the security level included in each index parameter, screening the first parameter set, extracting the second parameter set as the reference parameter set of each index parameter, and forming the reference parameter set into a target sequence unit as reference information for determining the security of the target building curtain wall, further obtaining stress distribution information corresponding to the target building curtain wall, finding out tag information corresponding to the target tag from the stress distribution information, determining whether the tag information changes relative to the index information in the reference information, if so, determining the tag information corresponding to the target tag found from the stress distribution information as the potential safety hazard coefficient of the target building curtain wall, and generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and further determining a safety weight value of the target building curtain wall, finally comparing the safety weight value with a preset safety rating weight table, judging whether the safety weight value is within a weight value range in the preset safety rating weight table, and if not, calculating the safety level of the target building curtain wall according to the target weight value in the preset safety rating weight table. Therefore, the safety grade of the building curtain wall can be accurately and effectively detected on the premise of safety detection of the building curtain wall by a visual detection method and a manual test method, and the accuracy of safety judgment of the building curtain wall can be further ensured.
In a specific implementation, in order to accurately find out the label information corresponding to the target label, the stress distribution information corresponding to the target building curtain wall is obtained based on the preset time period described in step S130, and the label information corresponding to the target label is found out from the stress distribution information corresponding to the target building curtain wall, which may specifically include the contents described in steps S1301 to S1303.
Step S1301, acquiring building curtain wall quality data corresponding to the detection area of the target building curtain wall and daily detection data corresponding to the detection area based on a preset time period.
In specific implementation, the daily detection data is used for representing data obtained by detecting the detection area corresponding to the target building curtain wall within a preset time period.
Step S1302, acquiring a quality database corresponding to the building curtain wall quality data; the quality database comprises preset quality data grades, and the quality data grades are used for comparing with the quality data of the building curtain wall.
Step S1303, obtaining stress distribution information corresponding to a target building curtain wall based on the building curtain wall quality data and daily detection data, searching a target label matched with the target building curtain wall from the stress distribution information corresponding to the target building curtain wall and a quality database, and determining label information corresponding to the target label.
And executing the contents described in the steps S1301-S1303, obtaining the quality data and daily detection data of the building curtain wall, further obtaining a quality database corresponding to the quality data of the building curtain wall, obtaining stress distribution information corresponding to the target building curtain wall based on the quality data and daily detection data of the building curtain wall, searching a target label matched with the target building curtain wall from the stress distribution information and the quality database, and determining label information corresponding to the target label. Therefore, the label information corresponding to the target label can be accurately found out through the matching method.
In specific implementation, in order to accurately determine the safety weight value of the target building curtain wall and further improve the accuracy of evaluating the safety state of the target building curtain wall, the step S160 generates a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determines the safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information, which may specifically include the contents described in the steps S1601 to S1605.
And S1601, creating a safety protection strategy of the target building curtain wall according to the potential safety hazard coefficient.
Step S1602, generating a corresponding potential safety hazard classification table based on the potential safety hazard coefficient to determine a safety log record and corresponding information of the safety protection strategy, and determining a safety protection time period corresponding to the target building curtain wall based on the safety log record and the corresponding information.
Step S1603, calculating the coefficient proportion of the potential safety hazard coefficient and the safety evaluation coefficient in the potential safety hazard classification table based on the safety protection time period.
Step S1604, obtaining a linear correlation value of the security policy, and determining a security parameter of the security policy based on the coefficient ratio and the linear correlation value of the security policy.
Step S1605, the safety weight value of the target building curtain wall is determined based on the safety protection parameter, the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information.
The contents described in steps S1601 to S1605 are first to create a security policy of the target building curtain wall, and further to determine a security log record and corresponding information of the security policy, so as to determine a security protection time period corresponding to the target building curtain wall. And secondly, calculating a coefficient ratio of the potential safety hazard coefficient to the safety evaluation coefficient in the potential safety hazard classification table according to the safety protection time period, acquiring a linear correlation value of the safety protection strategy, and determining a safety protection parameter of the safety protection strategy based on the coefficient ratio and the linear correlation value. And finally, determining the safe weighted value of the target building curtain wall based on the safety protection parameters, the potential safety hazard coefficients, the potential safety hazard classification table and the stress distribution information. Therefore, the safety weight value of the target building curtain wall can be accurately determined, and the accuracy of the safety state evaluation of the target building curtain wall is improved.
In specific implementation, in order to improve the readiness, convenience and reliability of the safety level evaluation of the target building curtain wall and improve the safety of the target building curtain wall, the step S180 of calculating the safety level of the target building curtain wall according to the target weight value in the preset safety score weight table may specifically include the contents described in steps S1801 to S1804.
Step S1801, a weight value set with a standard score greater than a set value is obtained according to a preset safety score weight table, and the weight value set is divided into a plurality of weight values by a preset classification method.
Step S1802, calculating an actual measurement value and a safety critical value of a detection area corresponding to the target building curtain wall, further includes: and determining the safety level corresponding to the measured value of the detection area in the target building curtain wall.
Step S1803, taking one of the weighted values as a target weighted value, sequentially comparing the rest weighted values with the measured value and the safety critical value according to the weighted values, respectively, and marking and storing a value matching the measured value with the target weighted value and a value matching the safety critical value with the target weighted value.
And step S1804, if the marked and stored value reaches the target weight value, calculating the marked value to obtain the safety level of the target building curtain wall.
The contents described in steps S1801 to S1804 are executed. Dividing the acquired weight value set into a plurality of weight values, further calculating an actual measurement value and a safety critical value of a detection area corresponding to the target building curtain wall, further comparing the rest of weight values with the actual measurement value and the safety critical value respectively according to the size of the weight values, and if the marked and stored value reaches the target weight value, calculating the marked value to obtain the safety level of the target building curtain wall. Therefore, the preparation, convenience and reliability of the safety grade evaluation of the target building curtain wall are improved, and meanwhile, the safety of the target building curtain wall is improved.
In a specific implementation, in order to accurately acquire a target parameter in the security levels included in each index parameter of the target building curtain wall, the analysis, which is described in step S110, of each index parameter of the target building curtain wall based on the acquired building curtain wall parameter corresponding to the target building curtain wall and the structural information of the curtain wall panel is performed to acquire the target parameter in the security levels included in each index parameter of the target building curtain wall, which may specifically include the contents described in steps S1101 to S1103.
Step S1101, acquiring curtain wall panel type information of the target building curtain wall based on building curtain wall parameters corresponding to the target building curtain wall and structural information corresponding to a curtain wall panel; the building curtain wall parameters and the structural information respectively comprise information characteristic parameter values of a plurality of different weight values.
Step S1102, obtaining a target characteristic parameter of the target building curtain wall at one of the information characteristic parameter values of the building curtain wall parameters, and determining an information characteristic parameter value having a minimum weight value in the structural information as a first information characteristic parameter value.
Step S1103, analyzing a target characteristic parameter in the building curtain wall parameters according to a preset analysis manner to obtain each index parameter corresponding to the target building curtain wall, and acquiring a target parameter in a security level included in each index parameter of the target building curtain wall according to the target characteristic parameter and each index parameter.
The curtain wall panel type information of the target building curtain wall is obtained by executing the contents described in the steps S1101-S1103, target characteristic parameters in the building curtain wall parameters are analyzed according to a preset analysis mode to obtain index parameters corresponding to the target building curtain wall, and target parameters in the safety level included in the index parameters of the target building curtain wall are collected according to the target characteristic parameters and the index parameters. Therefore, the target parameters in the safety level included in each index parameter of the target building curtain wall can be accurately collected.
In a specific implementation, in order to avoid the occurrence of erroneous judgment and further improve the reliability of judging whether the label information corresponding to the target label changes relative to the index information in the reference information, the judgment of step S140 as to whether the label information corresponding to the target label in the stress distribution information corresponding to the target building curtain wall changes relative to the index information in the reference information may specifically include the contents described in step S1401 to step S1402.
Step S1401, obtaining a matching degree value between the label information corresponding to the target building curtain wall and the index information of the reference information by using the label information corresponding to the target label in the stress distribution information corresponding to the target building curtain wall, and determining whether the matching degree value is the same as a preset matching threshold value.
Step 1401, if the difference is not the same, optimizing the tag information by using a preset matching threshold value, obtaining a tag optimization value of the target building curtain wall by using the optimized tag information, and judging whether the tag information corresponding to the target building curtain wall changes relative to the index information in the reference information based on the tag optimization value.
And executing the contents described in the steps S1401 to S1402, obtaining a matching degree value of the index information of the target building curtain wall and the index information of the reference information, and judging whether the matching degree value is the same as a preset matching threshold, if the matching degree value is not the same as the preset matching threshold, optimizing the label information by using the preset matching threshold, obtaining a label optimized value of the target building curtain wall by using the optimized label information, and further judging whether the label information corresponding to the target building curtain wall changes relative to the index information in the reference information based on the label optimized value. This is done. The method and the device can avoid misjudgment, and improve the reliability of judging whether the label information corresponding to the target label changes relative to the index information in the reference information.
Based on the same inventive concept, the invention also provides a building curtain wall safety detection system, which comprises a detection center and detection equipment, wherein the detection center is communicated with the detection equipment;
the detection center is used for:
analyzing and acquiring each index parameter of the target building curtain wall based on the building curtain wall parameter corresponding to the acquired target building curtain wall and the structural information of the curtain wall panel so as to acquire the target parameter in the safety level included in each index parameter of the target building curtain wall;
screening a first parameter set which has abnormality relative to an index sequence corresponding to each index parameter of the target building curtain wall in the target parameters, extracting a second parameter set of which the distribution locus of the index parameters does not change along with the change of the first parameter set with abnormality in each index parameter of the target building curtain wall to serve as a reference parameter set of each index parameter of the target building curtain wall, and forming a target sequence unit by the reference parameter set to serve as reference information for judging the safety of the target building curtain wall;
acquiring stress distribution information corresponding to a target building curtain wall based on a preset time period, and searching label information corresponding to a target label from the stress distribution information corresponding to the target building curtain wall;
judging whether label information corresponding to a target label in the stress distribution information corresponding to the target building curtain wall changes relative to index information in the reference information;
if the change occurs, determining label information corresponding to a target label found from the stress distribution information corresponding to the target building curtain wall as a potential safety hazard coefficient of the target building curtain wall;
generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determining a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information;
comparing the safety weight value with a preset safety rating weight table, and judging whether the safety weight value is within the weight value range in the preset safety rating weight table;
and if the target weight value is not in the weight value range, calculating the safety level of the target building curtain wall according to the target weight value in a preset safety grading weight table.
Preferably, the detection center is specifically configured to:
acquiring building curtain wall quality data corresponding to the detection area of the target building curtain wall and daily detection data corresponding to the detection area based on a preset time period; the daily detection data are used for representing data obtained by detecting the detection area corresponding to the target building curtain wall within a preset time period;
acquiring a quality database corresponding to the building curtain wall quality data; the quality database comprises preset quality data grades, and the quality data grades are used for comparing with the quality data of the building curtain wall;
and acquiring stress distribution information corresponding to a target building curtain wall based on the building curtain wall quality data and daily detection data, searching a target label matched with the target building curtain wall from the stress distribution information corresponding to the target building curtain wall and a quality database, and determining label information corresponding to the target label.
Preferably, the detection center is specifically configured to:
creating a safety protection strategy of the target building curtain wall according to the potential safety hazard coefficient;
generating a corresponding potential safety hazard classification table based on the potential safety hazard coefficient to determine a safety log record and corresponding information of the safety protection strategy, and determining a safety protection time period corresponding to the target building curtain wall based on the safety log record and the corresponding information;
calculating the coefficient proportion of the potential safety hazard coefficient to the safety evaluation coefficient in the potential safety hazard classification table based on the safety protection time period;
acquiring a linear correlation value of the safety protection strategy, and determining a safety protection parameter of the safety protection strategy based on the coefficient proportion and the linear correlation value of the safety protection strategy;
and determining the safety weight value of the target building curtain wall based on the safety protection parameter, the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information.
Preferably, the detection center is specifically configured to:
acquiring a weight value set with a standard score larger than a set value according to a preset safety score weight table, and dividing the weight value set into a plurality of weight values by a preset classification method;
calculating the measured value and the safety critical value of the detection area corresponding to the target building curtain wall, and further comprising: determining a safety level corresponding to an actual measurement value of a detection area in a target building curtain wall;
taking one of the weighted values as a target weighted value, sequentially comparing the rest weighted values with the measured value and the safety critical value according to the weighted values, marking and storing the value of the measured value matched with the target weighted value and the value of the safety critical value matched with the target weighted value,
and if the marked and stored value reaches the target weight value, calculating the marked value to obtain the safety level of the target building curtain wall.
Preferably, the detection center is specifically configured to:
acquiring curtain wall panel type information of the target building curtain wall based on building curtain wall parameters corresponding to the target building curtain wall and structural information corresponding to a curtain wall panel; the building curtain wall parameters and the structural information respectively comprise a plurality of information characteristic parameter values with different weight values;
acquiring a target characteristic parameter of the target building curtain wall at one information characteristic parameter value of the building curtain wall parameters, and determining an information characteristic parameter value with a minimum weight value in the structural information as a first information characteristic parameter value;
analyzing target characteristic parameters in the building curtain wall parameters according to a preset analysis mode to obtain index parameters corresponding to the target building curtain wall, and acquiring target parameters in safety levels included in the index parameters of the target building curtain wall according to the target characteristic parameters and the index parameters.
On the basis of the above, please refer to fig. 3, the present invention provides a building curtain wall safety detection apparatus 400, which specifically includes the following functional modules.
The index parameter acquiring module 410 is configured to analyze and acquire each index parameter of the target building curtain wall based on the acquired building curtain wall parameter corresponding to the target building curtain wall and the structural information of the curtain wall panel, so as to acquire a target parameter in the security level included in each index parameter of the target building curtain wall.
A parameter set determining module 420, configured to extract, by screening a first parameter set having an abnormality in the target parameters relative to an index sequence corresponding to each index parameter of the target building curtain wall, a second parameter set whose index parameter distribution trajectory does not change with a change of the first parameter set having the abnormality in each index parameter of the target building curtain wall, as a reference parameter set for each index parameter of the target building curtain wall, and form a target sequence unit with the reference parameter set, as reference information for determining the security of the target building curtain wall.
The tag information searching module 430 is configured to obtain stress distribution information corresponding to the target building curtain wall based on a preset time period, and search tag information corresponding to the target tag from the stress distribution information corresponding to the target building curtain wall.
And the tag information judging module 440 is configured to judge whether tag information corresponding to a target tag in the stress distribution information corresponding to the target building curtain wall changes with respect to index information in the reference information.
And the safety factor determining module 450 is configured to determine, if the change occurs, tag information corresponding to the target tag found from the stress distribution information corresponding to the target building curtain wall as a potential safety hazard coefficient of the target building curtain wall.
And a safety weight value determining module 460, configured to generate a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determine a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table, and the stress distribution information.
The safety weight value determining module 470 is configured to compare the safety weight value with a preset safety scoring weight table, and determine whether the safety weight value is within a weight value range in the preset safety scoring weight table.
And the safety level calculating module 480 is configured to calculate the safety level of the target building curtain wall according to a target weight value in a preset safety rating weight table if the safety level is not within the weight value range.
On the basis of the above, please refer to fig. 4 in combination, which provides a detection center 200, including a processor 211, a memory 212 and a bus 213 connected to the processor 211; wherein, the processor 211 and the memory 212 complete the communication with each other through the bus 213; the processor 211 is configured to call the program instructions in the memory 212 to execute the above-mentioned method.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A method for detecting the safety of a building curtain wall is characterized by comprising the following steps:
analyzing and acquiring each index parameter of the target building curtain wall based on the building curtain wall parameter corresponding to the acquired target building curtain wall and the structural information of the curtain wall panel so as to acquire the target parameter in the safety level included in each index parameter of the target building curtain wall;
screening a first parameter set which has abnormality relative to an index sequence corresponding to each index parameter of the target building curtain wall in the target parameters, extracting a second parameter set of which the distribution locus of the index parameters does not change along with the change of the first parameter set with abnormality in each index parameter of the target building curtain wall to serve as a reference parameter set of each index parameter of the target building curtain wall, and forming a target sequence unit by the reference parameter set to serve as reference information for judging the safety of the target building curtain wall;
acquiring stress distribution information corresponding to a target building curtain wall based on a preset time period, and searching label information corresponding to a target label from the stress distribution information corresponding to the target building curtain wall;
judging whether label information corresponding to a target label in the stress distribution information corresponding to the target building curtain wall changes relative to index information in the reference information;
if the change occurs, determining label information corresponding to a target label found from the stress distribution information corresponding to the target building curtain wall as a potential safety hazard coefficient of the target building curtain wall;
generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determining a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information;
comparing the safety weight value with a preset safety rating weight table, and judging whether the safety weight value is within the weight value range in the preset safety rating weight table;
and if the target weight value is not in the weight value range, calculating the safety level of the target building curtain wall according to the target weight value in a preset safety grading weight table.
2. The method for detecting the safety of the building curtain wall according to claim 1, wherein stress distribution information corresponding to a target building curtain wall is obtained based on a preset time period, and tag information corresponding to a target tag is found from the stress distribution information corresponding to the target building curtain wall, specifically comprising:
acquiring building curtain wall quality data corresponding to the detection area of the target building curtain wall and daily detection data corresponding to the detection area based on a preset time period; in the method, the daily detection data are used for representing data obtained by detecting the detection area corresponding to the target building curtain wall within a preset time period;
acquiring a quality database corresponding to the building curtain wall quality data; the quality database comprises preset quality data grades, and the quality data grades are used for comparing with the quality data of the building curtain wall;
and acquiring stress distribution information corresponding to a target building curtain wall based on the building curtain wall quality data and daily detection data, searching a target label matched with the target building curtain wall from the stress distribution information corresponding to the target building curtain wall and a quality database, and determining label information corresponding to the target label.
3. The method for detecting the safety of the building curtain wall according to claim 1, wherein a corresponding potential safety hazard classification table is generated according to the potential safety hazard coefficient, and a safety weight value of the target building curtain wall is determined based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information, and specifically comprises:
creating a safety protection strategy of the target building curtain wall according to the potential safety hazard coefficient;
generating a corresponding potential safety hazard classification table based on the potential safety hazard coefficient to determine a safety log record and corresponding information of the safety protection strategy, and determining a safety protection time period corresponding to the target building curtain wall based on the safety log record and the corresponding information;
calculating the coefficient proportion of the potential safety hazard coefficient to the safety evaluation coefficient in the potential safety hazard classification table based on the safety protection time period;
acquiring a linear correlation value of the safety protection strategy, and determining a safety protection parameter of the safety protection strategy based on the coefficient proportion and the linear correlation value of the safety protection strategy;
and determining the safety weight value of the target building curtain wall based on the safety protection parameter, the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information.
4. The method for detecting the safety of the building curtain wall according to claim 1, wherein the step of calculating the safety level of the target building curtain wall according to a target weight value in a preset safety score weight table specifically comprises:
acquiring a weight value set with a standard score larger than a set value according to a preset safety score weight table, and dividing the weight value set into a plurality of weight values by a preset classification method;
calculating the measured value and the safety critical value of the detection area corresponding to the target building curtain wall, and further comprising: determining a safety level corresponding to an actual measurement value of a detection area in a target building curtain wall;
taking one of the weighted values as a target weighted value, sequentially comparing the rest weighted values with the measured value and the safety critical value according to the weighted values, and marking and storing a value matched with the measured value and the target weighted value and a value matched with the target weighted value and the safety critical value;
and if the marked and stored value reaches the target weight value, calculating the marked value to obtain the safety level of the target building curtain wall.
5. The method for detecting the safety of the building curtain wall according to claim 1, wherein each index parameter of the target building curtain wall is obtained based on the collected building curtain wall parameters corresponding to the target building curtain wall and structural information of the curtain wall panel through analysis so as to collect the target parameter in the safety class included in each index parameter of the target building curtain wall, and specifically comprises:
acquiring curtain wall panel type information of the target building curtain wall based on building curtain wall parameters corresponding to the target building curtain wall and structural information corresponding to a curtain wall panel; the building curtain wall parameters and the structural information respectively comprise a plurality of information characteristic parameter values with different weight values;
acquiring a target characteristic parameter of the target building curtain wall at one information characteristic parameter value of the building curtain wall parameters, and determining an information characteristic parameter value with a minimum weight value in the structural information as a first information characteristic parameter value;
analyzing target characteristic parameters in the building curtain wall parameters according to a preset analysis mode to obtain index parameters corresponding to the target building curtain wall, and acquiring target parameters in safety levels included in the index parameters of the target building curtain wall according to the target characteristic parameters and the index parameters.
6. The building curtain wall safety detection system is characterized by comprising a detection center and detection equipment, wherein the detection center is communicated with the detection equipment;
the detection center is used for:
analyzing and acquiring each index parameter of the target building curtain wall based on the building curtain wall parameter corresponding to the acquired target building curtain wall and the structural information of the curtain wall panel so as to acquire the target parameter in the safety level included in each index parameter of the target building curtain wall;
screening a first parameter set which has abnormality relative to an index sequence corresponding to each index parameter of the target building curtain wall in the target parameters, extracting a second parameter set of which the distribution locus of the index parameters does not change along with the change of the first parameter set with abnormality in each index parameter of the target building curtain wall to serve as a reference parameter set of each index parameter of the target building curtain wall, and forming a target sequence unit by the reference parameter set to serve as reference information for judging the safety of the target building curtain wall;
acquiring stress distribution information corresponding to a target building curtain wall based on a preset time period, and searching label information corresponding to a target label from the stress distribution information corresponding to the target building curtain wall;
judging whether label information corresponding to a target label in the stress distribution information corresponding to the target building curtain wall changes relative to index information in the reference information;
if the change occurs, determining label information corresponding to a target label found from the stress distribution information corresponding to the target building curtain wall as a potential safety hazard coefficient of the target building curtain wall;
generating a corresponding potential safety hazard classification table according to the potential safety hazard coefficient, and determining a safety weight value of the target building curtain wall based on the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information;
comparing the safety weight value with a preset safety rating weight table, and judging whether the safety weight value is within the weight value range in the preset safety rating weight table;
and if the target weight value is not in the weight value range, calculating the safety level of the target building curtain wall according to the target weight value in a preset safety grading weight table.
7. The building curtain wall safety detection system of claim 6, wherein the detection center is specifically configured to:
acquiring building curtain wall quality data corresponding to the detection area of the target building curtain wall and daily detection data corresponding to the detection area based on a preset time period; the daily detection data are used for representing data obtained by detecting the detection area corresponding to the target building curtain wall within a preset time period;
acquiring a quality database corresponding to the building curtain wall quality data; the quality database comprises preset quality data grades, and the quality data grades are used for comparing with the quality data of the building curtain wall;
and acquiring stress distribution information corresponding to a target building curtain wall based on the building curtain wall quality data and daily detection data, searching a target label matched with the target building curtain wall from the stress distribution information corresponding to the target building curtain wall and a quality database, and determining label information corresponding to the target label.
8. The building curtain wall safety detection system of claim 6, wherein the detection center is specifically configured to:
creating a safety protection strategy of the target building curtain wall according to the potential safety hazard coefficient;
generating a corresponding potential safety hazard classification table based on the potential safety hazard coefficient to determine a safety log record and corresponding information of the safety protection strategy, and determining a safety protection time period corresponding to the target building curtain wall based on the safety log record and the corresponding information;
calculating the coefficient proportion of the potential safety hazard coefficient to the safety evaluation coefficient in the potential safety hazard classification table based on the safety protection time period;
acquiring a linear correlation value of the safety protection strategy, and determining a safety protection parameter of the safety protection strategy based on the coefficient proportion and the linear correlation value of the safety protection strategy;
and determining the safety weight value of the target building curtain wall based on the safety protection parameter, the potential safety hazard coefficient, the potential safety hazard classification table and the stress distribution information.
9. The building curtain wall safety detection system of claim 6, wherein the detection center is specifically configured to:
acquiring a weight value set with a standard score larger than a set value according to a preset safety score weight table, and dividing the weight value set into a plurality of weight values by a preset classification method;
calculating the measured value and the safety critical value of the detection area corresponding to the target building curtain wall, and further comprising: determining a safety level corresponding to an actual measurement value of a detection area in a target building curtain wall;
taking one of the weighted values as a target weighted value, sequentially comparing the rest weighted values with the measured value and the safety critical value according to the weighted values, marking and storing the value of the measured value matched with the target weighted value and the value of the safety critical value matched with the target weighted value,
and if the marked and stored value reaches the target weight value, calculating the marked value to obtain the safety level of the target building curtain wall.
10. The building curtain wall safety detection system of claim 6, wherein the detection center is specifically configured to:
acquiring curtain wall panel type information of the target building curtain wall based on building curtain wall parameters corresponding to the target building curtain wall and structural information corresponding to a curtain wall panel; the building curtain wall parameters and the structural information respectively comprise a plurality of information characteristic parameter values with different weight values;
acquiring a target characteristic parameter of the target building curtain wall at one information characteristic parameter value of the building curtain wall parameters, and determining an information characteristic parameter value with a minimum weight value in the structural information as a first information characteristic parameter value;
analyzing target characteristic parameters in the building curtain wall parameters according to a preset analysis mode to obtain index parameters corresponding to the target building curtain wall, and acquiring target parameters in safety levels included in the index parameters of the target building curtain wall according to the target characteristic parameters and the index parameters.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101294891A (en) * | 2008-05-15 | 2008-10-29 | 中国建筑材料科学研究总院 | Method for detecting glass curtain wall loosening and estimating falling risk |
| CN103593560A (en) * | 2013-11-04 | 2014-02-19 | 北京市建筑工程研究院有限责任公司 | Comprehensive assessment and detection method for safety of existing glass curtain wall |
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| CN101294891A (en) * | 2008-05-15 | 2008-10-29 | 中国建筑材料科学研究总院 | Method for detecting glass curtain wall loosening and estimating falling risk |
| CN103593560A (en) * | 2013-11-04 | 2014-02-19 | 北京市建筑工程研究院有限责任公司 | Comprehensive assessment and detection method for safety of existing glass curtain wall |
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