CN117589119A - Ancient building structure lifting construction monitoring method and system - Google Patents
Ancient building structure lifting construction monitoring method and system Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 98
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- 238000011217 control strategy Methods 0.000 claims description 6
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000003066 decision tree Methods 0.000 claims description 4
- 238000012706 support-vector machine Methods 0.000 claims description 4
- 238000010223 real-time analysis Methods 0.000 claims description 3
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C9/00—Measuring inclination, e.g. by clinometers, by levels
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Abstract
The application relates to a method and a system for monitoring lifting construction of an ancient building structure, wherein the method for monitoring the lifting construction of the ancient building structure comprises the following steps: setting a deformation threshold of the historic building structure; monitoring the structural variation of each dimension when the ancient building structure is lifted in real time, and inputting the structural variation of each dimension to a preset actual measurement parameter database; inputting the actually measured structural variation of each dimension into a preset data calculation formula library, and calculating the real-time deformation of the ancient building structure; and when the deformation of the historic building structure exceeds a set threshold value, sending out an early warning signal. This application has the effect of monitoring when improving ancient building structure lifting construction.
Description
Technical Field
The application relates to the technical field of building lifting, in particular to a method and a system for monitoring lifting construction of an ancient building structure.
Background
The ancient architecture is an important component of human cultural heritage, has unique historic, cultural and artistic values, however, due to the long-term age, environmental change and other reasons, the ancient architecture often has problems of sinking, deformation and the like, and the stability and the safety of the structure are affected.
In the prior art, in order to repair and protect an ancient building, the ancient building is often required to be subjected to structural lifting construction so as to restore the original horizontal position and structural state of the ancient building. Certain risks and challenges exist in the lifting construction process of the ancient building structure, and in the lifting process, the ancient building structure possibly receives uneven force, so that the structural deformation and crack generation even collapse risks are caused. Therefore, the deformation condition of the historic building structure needs to be monitored when the historic building structure is lifted, the traditional monitoring mode carries out data acquisition through a measuring instrument and a sensor, and the deformation condition of the historic building structure is judged through manual recording and calculation analysis and reacts to abnormal conditions.
With respect to the related art in the above, there are the following drawbacks: traditional monitoring mode data acquisition and analysis process are loaded down with trivial details, need a large amount of manpower and time input, increase the engineering cost of ancient building structure lifting, and manual calculation generally needs accounting many times, reduces the real-time of structure lifting monitoring, consequently needs the improvement.
Disclosure of Invention
In order to improve the real-time performance of structural lifting monitoring, the application provides a method and a system for monitoring structural lifting construction of an ancient building.
In a first aspect, the above object of the present application is achieved by the following technical solutions:
the method for monitoring the lifting construction of the historic building structure comprises the following steps:
setting a deformation threshold of the historic building structure;
monitoring the structural variation of each dimension when the ancient building structure is lifted in real time, and inputting the structural variation of each dimension to a preset actual measurement parameter database;
inputting the actually measured structural variation of each dimension into a preset data calculation formula library, and calculating the real-time deformation of the ancient building structure;
and when the deformation of the historic building structure exceeds a set threshold value, sending out an early warning signal.
By adopting the technical scheme, the deformation condition of the ancient building structure can be monitored in real time and continuously in a real-time manner by adopting the data acquisition and processing mode, more timely data support is provided, the real-time deformation is directly calculated through the data calculation formula library, compared with the existing method of calculating the deformation after manual recording, the method has the advantages that the monitoring efficiency of the ancient building structure in lifting is improved, the real-time performance is realized, and the construction is not required to be suspended when monitoring data is collected so as to ensure that the data is identical with the state of the ancient building structure at the moment; the error between the actual deformation and the calculated real-time deformation is reduced, and the monitoring accuracy is improved.
The present application may be further configured in a preferred example to: after the step of monitoring the structural variation of each dimension in real time when the ancient building structure is lifted and inputting the structural variation of each dimension in actual measurement into a preset actual measurement parameter database, the method comprises the following steps:
inputting the structural variable data of each dimension and the corresponding real-time deformation in an actual measurement parameter database into a preset big data intelligent model, and intelligently analyzing and predicting the structural variable data of each dimension and the corresponding real-time deformation through an algorithm of the big data intelligent model;
based on intelligent analysis and prediction results, generating a deformation trend curve and an early warning model;
and comparing the real-time monitoring data with the early warning model, and sending out corresponding early warning signals when the real-time monitoring data has obvious deviation from the early warning model.
Through adopting above-mentioned technical scheme, utilize monitoring system real-time supervision ancient building structure's deflection to send early warning signal when the deformation of ancient building structure exceeds the settlement threshold value, this kind of real-time supervision and early warning ability can in time discover and handle the unusual condition in the ancient building structure deformation process, ensures the security and the stability of work progress.
The present application may be further configured in a preferred example to: the algorithm of the big data intelligent model comprises a neural network, a support vector machine and a decision tree;
the intelligent analysis and prediction of the variable data of each dimension structure and the corresponding real-time deformation by the algorithm of the big data intelligent model comprises the following steps:
inputting the structural variable data of each dimension and the corresponding real-time deformation in the actual measurement parameter database into a big data intelligent model;
training and learning historical monitoring data, and establishing a mapping relation between historic building structural deformation and the historical monitoring data;
and carrying out real-time analysis and prediction on the real-time monitoring data by combining the big data intelligent model with the mapping relation between the deformation of the historic building structure and the monitoring data so as to generate a deformation trend curve and an early warning model.
By adopting the technical scheme and combining the technologies of machine learning, artificial intelligence and the like, the collected data are intelligently analyzed and predicted, and the deformation trend of the historic building structure and the possible problems in the future can be predicted by analyzing the historical data and the real-time data, so that the accuracy and the efficiency of monitoring and early warning are improved.
The present application may be further configured in a preferred example to: after the step of generating a deformation trend curve and an early warning model based on the intelligent analysis and prediction results, the method comprises the following steps:
generating a deformation trend curve and an early warning model based on statistical analysis and pattern recognition, and evaluating and predicting deformation characteristics and risk factors of the historic building structure;
and optimizing a construction scheme and a control strategy of the building lifting according to the evaluation and prediction results.
By adopting the technical scheme, the construction scheme and the control strategy of building lifting are optimized so as to reduce the deformation and risk of the ancient building structure.
The present application may be further configured in a preferred example to: after the step of sending out the early warning signal when the deformation of the historic building structure exceeds the set threshold, the method comprises the following steps:
generating an abnormal fault report, and reading abnormal conditions in the abnormal fault report;
generating a fault emergency scheme according to the abnormal conditions, and sending an abnormal fault report and the fault emergency scheme to each department.
By adopting the technical scheme, each department can timely know the fault emergency scheme, synchronize the information among the departments, and facilitate the cooperation among the departments when the ancient building structure is lifted.
The present application may be further configured in a preferred example to: the real-time deformation comprises the displacement of the bottom ground beam of the ancient building, the displacement of the upper structure of the ancient building, the foundation settlement of the ancient building and the inclination of the structure of the ancient building.
By adopting the technical scheme, the monitoring sites and indexes during lifting of the ancient building structure are increased, so that comprehensive data of the ancient building structure can be known in time, and lifting strategies can be adjusted according to various data indexes.
In a second aspect, the above object of the present application is achieved by the following technical solutions:
the system comprises a measuring equipment module, an actual measurement parameter database module, a data calculation formula library module and an early warning report module, wherein the measuring equipment module is used for monitoring the structural variation of each dimension when the ancient building structure is lifted in real time; the actually measured parameter database module is used for presetting an actually measured parameter database and inputting actually measured parameters; the data calculation formula library module is used for presetting a data calculation formula library and calculating the real-time deformation of the ancient building structure; the early warning report module is used for sending an early warning signal when the deformation of the ancient building structure exceeds a set threshold value.
By adopting the technical scheme, the deformation condition of the ancient building structure can be monitored in real time and continuously in a real-time manner by adopting the data acquisition and processing mode, more timely data support is provided, the real-time deformation is directly calculated through the data calculation formula library, compared with the existing method of calculating the deformation after manual recording, the method has the advantages that the monitoring efficiency of the ancient building structure in lifting is improved, the real-time performance is realized, and the construction is not required to be suspended when monitoring data is collected so as to ensure that the data is identical with the state of the ancient building structure at the moment; the error between the actual deformation and the calculated real-time deformation is reduced, and the monitoring accuracy is improved.
Optionally, the system further comprises a big data intelligent model module for establishing a big data intelligent model and inputting an algorithm of the big data intelligent model.
By adopting the technical scheme, the big data analysis technology is utilized to combine the monitoring data of a plurality of ancient building structures to carry out statistical analysis and pattern recognition; based on the results of statistical analysis and pattern recognition, evaluating and predicting deformation characteristics and risk factors of the historic building structure; and optimizing a construction scheme and a control strategy of building lifting according to the evaluation and prediction results so as to reduce the deformation and risk of the ancient building structure.
In a third aspect, the above object of the present application is achieved by the following technical solutions:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above-described method for monitoring lifting construction of an historic building structure when the computer program is executed.
In a fourth aspect, the above object of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program which when executed by a processor performs the steps of the above-described method for monitoring lifting construction of an historic building structure.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method for collecting and processing the data in real time can monitor the deformation condition of the ancient building structure in real time and continuously, provides more timely data support, directly calculates the real-time deformation through the data calculation formula library, and compared with the existing method for calculating the deformation after manual recording, the method improves the monitoring efficiency of the ancient building structure in lifting, has instantaneity, and does not need to pause construction when collecting the monitoring data so as to ensure that the data is identical with the state of the ancient building structure at the moment; the error between the actual deformation and the calculated real-time deformation is reduced, and the monitoring accuracy is improved;
2. by combining machine learning, artificial intelligence and other technologies, intelligent analysis and prediction are carried out on the collected data, and through analysis on historical data and real-time data, deformation trend of the ancient building structure and possible problems in the future can be predicted, so that the accuracy and efficiency of monitoring and early warning are improved;
3. carrying out statistical analysis and pattern recognition by utilizing a big data analysis technology and combining monitoring data of a plurality of historic building structures; based on the results of statistical analysis and pattern recognition, evaluating and predicting deformation characteristics and risk factors of the historic building structure; and optimizing a construction scheme and a control strategy of building lifting according to the evaluation and prediction results so as to reduce the deformation and risk of the ancient building structure.
Drawings
FIG. 1 is a schematic flow chart of steps of a method for monitoring lifting construction of an ancient building structure;
FIG. 2 is a schematic flow chart after step S30 in a method for monitoring lifting construction of an ancient building structure;
fig. 3 is a schematic flow chart in step S301 in a method for monitoring lifting construction of an ancient building structure;
FIG. 4 is a schematic flow chart after step S302 in a method for monitoring lifting construction of an ancient building structure;
FIG. 5 is a schematic flow chart after step S40 in a method for monitoring lifting construction of an ancient building structure;
FIG. 6 is a schematic diagram of a modular framework of an historic building structure lifting construction monitoring system;
FIG. 7 is a schematic diagram of an internal structure of a computer device according to an embodiment of the present application;
reference numerals illustrate:
1. a measurement device module; 2. the actual measurement parameter database module; 3. a data calculation formula library module; 4. an early warning report module; 5. and the big data intelligent model module.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
In an embodiment, as shown in fig. 1-6, the application discloses a method for monitoring lifting construction of an ancient building structure, which specifically comprises the following steps:
s10: setting a deformation threshold of the historic building structure;
specifically, reading a construction drawing of the historic building structure and other related building construction files, and obtaining a deformation coefficient k and a design requirement value s of the historic building structure, wherein the deformation threshold value is t, and then t=k×s to calculate the deformation threshold value t, namely, knowing the limit value of the historic building structure to be lifted.
S20: monitoring the structural variation of each dimension when the ancient building structure is lifted in real time, and inputting the structural variation of each dimension to a preset actual measurement parameter database;
specifically, necessary initial measurement parameters in the early stage of construction:
(1) Initial state data of the trailing beam;
(2) Investigation of the integrity of the building superstructure;
(3) Recording the current situation cracks of the building structure;
(4) Initial elevation and initial positioning coordinates of the building;
(5) Initial verticality of building structure;
(6) Deformation observation data of each monitoring item during construction before lifting;
(7) Establishing the burying and elevation system of the level base points;
(8) Rechecking the ground elevation outside the construction range;
(9) Rechecking the elevation of the surrounding surface of the current building;
(10) Rechecking the elevation of the surrounding surface of the current building;
(11) And (5) embedding the horizontal control points and establishing a coordinate system.
Measurement parameters during construction:
the method comprises the following steps of (1) measuring actual parameters of relative horizontal displacement of a bottom ground beam of an ancient building, measuring actual parameters of relative vertical displacement of a bottom ground beam of the ancient building, measuring actual parameters of horizontal displacement of an upper structure of the ancient building, measuring actual parameters of vertical displacement of the upper structure of the ancient building, measuring actual parameters of foundation settlement of the ancient building and measuring actual parameters of inclination of the ancient building; stress values of all detection sites of the ancient building structure are collected.
In the embodiment of the application, a two-dimensional area array laser displacement meter is arranged at the bottom of a ground beam structure of a building to perform full-automatic real-time on-line monitoring points, the total number of the monitoring points is 12, the number of sections is 6, the section positions are consistent with the direction of a displacement track, and the displacement meter measures the transverse displacement and the vertical settlement of the monitoring points of the ancient building by utilizing the relative displacement between a laser emission point and a light spot position acquisition instrument; the settlement and displacement change of the monitoring point and the datum point are transmitted by the laser beam, and the high-precision monitoring is realized by combining a mechanical transmission technology and a self-balancing correction function.
By means of data acquisition and processing in real time, deformation conditions of the historic building structure can be monitored in real time and continuously, and more timely data support is provided.
S30: inputting the actually measured structural variation of each dimension into a preset data calculation formula library, and calculating the real-time deformation of the ancient building structure;
specifically, the real-time deformation comprises the displacement of a ground beam at the bottom of the ancient building, the displacement of a structure at the upper part of the ancient building, the foundation settlement of the ancient building and the inclination of the structure of the ancient building; the displacement of the bottom ground beam of the ancient building comprises a relative horizontal displacement of the bottom ground beam of the ancient building and a relative vertical displacement of the bottom ground beam of the ancient building, and the displacement of the upper structure of the ancient building comprises a horizontal displacement of the upper structure of the ancient building and a vertical displacement of the upper structure of the ancient building.
The real-time deformation is directly calculated through the data calculation formula library, compared with the existing method that the deformation is calculated after manual recording, the method improves monitoring efficiency when the ancient building structure is lifted, has instantaneity, and does not need to pause construction when monitoring data are collected so as to ensure that the data are identical to the state of the ancient building structure at the time; the error between the actual deformation and the calculated real-time deformation is reduced, and the monitoring accuracy is improved.
S40: and when the deformation of the historic building structure exceeds a set threshold value, sending out an early warning signal.
The traditional ancient architecture structure monitoring method generally relies on manual judgment of abnormal conditions and lacks an accurate early warning mechanism, and the scheme realizes automatic early warning of the ancient architecture structure by setting a threshold value or an early warning model and sending an early warning signal when the threshold value or the early warning model is exceeded, so that the monitoring accuracy and timeliness are improved.
At S30: after the step of monitoring the structural variation of each dimension in real time when the ancient building structure is lifted and inputting the structural variation of each dimension in actual measurement into a preset actual measurement parameter database, the method comprises the following steps:
s301: inputting the structural variable data of each dimension and the corresponding real-time deformation in an actual measurement parameter database into a preset big data intelligent model, and intelligently analyzing and predicting the structural variable data of each dimension and the corresponding real-time deformation through an algorithm of the big data intelligent model;
the algorithm of the big data intelligent model comprises a neural network, a support vector machine and a decision tree.
S302: based on intelligent analysis and prediction results, generating a deformation trend curve and an early warning model;
s303: and comparing the real-time monitoring data with the early warning model, and sending out corresponding early warning signals when the real-time monitoring data has obvious deviation from the early warning model.
At S301: the intelligent analysis and prediction of the variable quantity data of each dimension structure and the corresponding real-time deformation quantity are carried out by an algorithm of a big data intelligent model, which comprises the following steps:
s3011: inputting the structural variable data of each dimension and the corresponding real-time deformation in the actual measurement parameter database into a preset big data intelligent model;
specifically, the variable quantity data of the structures in various dimensions and the real-time deformation quantity corresponding to the variable quantity data are input into a preset big data intelligent model, historical data are provided for the big data intelligent model, and the big data intelligent model is matched through a neural network, a support vector machine and a decision tree algorithm conveniently to form a data model.
S3012: training and learning historical monitoring data, and establishing a mapping relation between historic building structural deformation and the historical monitoring data;
s3013: and carrying out real-time analysis and prediction on the real-time monitoring data by combining the big data intelligent model with the mapping relation between the deformation of the historic building structure and the monitoring data so as to generate a deformation trend curve and an early warning model.
By adopting a machine learning algorithm to intelligently analyze and predict the deformation trend of the historic building structure, the deformation trend of the historic building structure can be automatically identified and predicted by the method, and a more accurate prediction result is provided.
At S302: based on the intelligent analysis and prediction results, the method comprises the following steps of:
s3021: generating a deformation trend curve and an early warning model based on statistical analysis and pattern recognition, and evaluating and predicting deformation characteristics and risk factors of the historic building structure;
the large data analysis technology is utilized to combine the monitoring data of a plurality of historic building structures, and statistical analysis and pattern recognition can be performed, so that deformation characteristics and risk factors of the historic building structures can be more comprehensively estimated and predicted.
Specifically, in the embodiment of the present application, the lifting construction emergency plan is as follows:
(1) Local pressure emergency treatment measure for towing beam
Because of construction plane errors in the laying and installation of the supporting beams, the occurrence of uneven settlement conditions in the lifting process can possibly cause local damage of the supporting beams, not only the construction management is enhanced, but also the construction precision is improved to prevent the occurrence of the conditions, and enough emergency treatment measures are required to be made in the lifting process.
If the bottom supporting basin breaks or deforms, the lifting is stopped, then the upper supporting bottom beam and the lower counter-force bearing platform are respectively repaired and reinforced, and finally a jack is additionally arranged nearby to assist in treatment, wherein the encryption standard interval is 100mm.
(2) Lifting and tilting emergency treatment measure
When the jacks work out of step and are placed in error, the building can be lifted and inclined, and the emergency treatment method comprises the following steps:
in the lifting process, each group of workers and each group of workers must strictly execute command of a command part to ensure that all jacks are opened and closed simultaneously, and the pressure is kept within the allowable range of a design value, so that synchronous work is achieved as much as possible. Each post worker should strictly control each jack to lift in the horizontal direction perpendicular to the lifting. The chance of lift tilting occurring is minimized.
When the lifting construction is inclined, the command part commands each group of length and workers to adjust the jacks in opposite directions, the supporting bottom beams are gradually adjusted back to the horizontal position in the lifting process, and then the lifting construction is carried out.
(3) Building superstructure emergency measure
Emergency measures for the occurrence of cracking and instability of individual components:
finding out the cause of deformation and preventing the deformation from increasing;
the horizontal or vertical rigidity of the temporary support is increased, and the deformation resistance is improved;
(4) Differential settlement of foundation beyond limit
And (5) strengthening monitoring and monitoring sedimentation change conditions.
Immediately backfilling stone powder on the foundation, wherein 6% of cement can be doped in the stone powder, and manually tamping the stone powder after filling the stone powder.
Strengthening the upper structure, and increasing the wall clamping templates and the steel pipe drawknot.
S3022: and optimizing a construction scheme and a control strategy of the building lifting according to the evaluation and prediction results.
Specifically, according to the evaluation and prediction results in the adjustment process, the cause of deviation generated when the ancient building structure is lifted is analyzed, and the lifting strategy is optimized.
At S40: when the deformation of the historic building structure exceeds a set threshold value, the method comprises the following steps of:
s401, generating an abnormal fault report and reading abnormal conditions in the abnormal fault report;
s402, generating a fault emergency scheme according to the abnormal condition, and sending an abnormal fault report and the fault emergency scheme to each department.
Specifically, the fault emergency scheme is sent to each department, and each department returns a receipt to the system to record so as to ensure that each department knows the fault emergency scheme and synchronizes the lifting real-time scheme.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
In an embodiment, an ancient building structure lifting construction monitoring system is provided, and the ancient building structure lifting construction monitoring system corresponds to one of the above-mentioned methods. As shown in fig. 6, the system for monitoring lifting construction of the ancient building structure comprises a measuring equipment module 1, an actual measurement parameter database module 2, a data calculation formula library module 3, an early warning report module 4 and a big data intelligent model module 5, wherein the measuring equipment module 1 is used for monitoring the structural variation of each dimension when the ancient building structure is lifted in real time; the actually measured parameter database module 2 is used for presetting an actually measured parameter database and inputting actually measured parameters; the data calculation formula library module 3 is used for presetting a data calculation formula library and calculating the real-time deformation of the historic building structure; the early warning report module 4 is used for sending an early warning signal when the deformation of the ancient building structure exceeds a set threshold value; and the big data intelligent model module 5 is used for establishing a big data intelligent model and inputting an algorithm of the big data intelligent model.
For a specific limitation of the system for monitoring lifting construction of an ancient building structure, reference may be made to the limitation of the method for monitoring lifting construction of an ancient building structure hereinabove, and the description thereof will not be repeated here. The modules in the lifting construction monitoring system of the historic building structure can be all or partially realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing the method for monitoring the lifting construction of the historic building structure.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
setting a deformation threshold of the historic building structure;
monitoring the structural variation of each dimension when the ancient building structure is lifted in real time, and inputting the structural variation of each dimension to a preset actual measurement parameter database;
inputting the actually measured structural variation of each dimension into a preset data calculation formula library, and calculating the real-time deformation of the ancient building structure;
and when the deformation of the historic building structure exceeds a set threshold value, sending out an early warning signal.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
setting a deformation threshold of the historic building structure;
monitoring the structural variation of each dimension when the ancient building structure is lifted in real time, and inputting the structural variation of each dimension to a preset actual measurement parameter database;
inputting the actually measured structural variation of each dimension into a preset data calculation formula library, and calculating the real-time deformation of the ancient building structure;
and when the deformation of the historic building structure exceeds a set threshold value, sending out an early warning signal.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. The utility model provides a ancient building structure lifting construction monitoring method which characterized in that: the method comprises the following steps:
setting a deformation threshold of the historic building structure;
monitoring the structural variation of each dimension when the ancient building structure is lifted in real time, and inputting the structural variation of each dimension to a preset actual measurement parameter database;
inputting the actually measured structural variation of each dimension into a preset data calculation formula library, and calculating the real-time deformation of the ancient building structure;
and when the deformation of the historic building structure exceeds a set threshold value, sending out an early warning signal.
2. The method for monitoring lifting construction of an ancient building structure according to claim 1, wherein the method comprises the following steps: after the step of monitoring the structural variation of each dimension in real time when the ancient building structure is lifted and inputting the structural variation of each dimension in actual measurement into a preset actual measurement parameter database, the method comprises the following steps:
inputting the structural variable data of each dimension and the corresponding real-time deformation in an actual measurement parameter database into a preset big data intelligent model, and intelligently analyzing and predicting the structural variable data of each dimension and the corresponding real-time deformation through an algorithm of the big data intelligent model;
based on intelligent analysis and prediction results, generating a deformation trend curve and an early warning model;
and comparing the real-time monitoring data with the early warning model, and sending out corresponding early warning signals when the real-time monitoring data has obvious deviation from the early warning model.
3. The method for monitoring lifting construction of an ancient building structure according to claim 2, wherein the method comprises the following steps: the algorithm of the big data intelligent model comprises a neural network, a support vector machine and a decision tree;
the intelligent analysis and prediction of the variable data of each dimension structure and the corresponding real-time deformation by the algorithm of the big data intelligent model comprises the following steps:
inputting the structural variable data of each dimension and the corresponding real-time deformation in the actual measurement parameter database into a big data intelligent model;
training and learning historical monitoring data, and establishing a mapping relation between historic building structural deformation and the historical monitoring data;
and carrying out real-time analysis and prediction on the real-time monitoring data by combining the big data intelligent model with the mapping relation between the deformation of the historic building structure and the monitoring data so as to generate a deformation trend curve and an early warning model.
4. The method for monitoring lifting construction of an ancient building structure according to claim 3, wherein the method comprises the following steps: after the step of generating a deformation trend curve and an early warning model based on the intelligent analysis and prediction results, the method comprises the following steps:
generating a deformation trend curve and an early warning model based on statistical analysis and pattern recognition, and evaluating and predicting deformation characteristics and risk factors of the historic building structure;
and optimizing a construction scheme and a control strategy of the building lifting according to the evaluation and prediction results.
5. The method for monitoring lifting construction of an ancient building structure according to claim 1, wherein the method comprises the following steps: after the step of sending out the early warning signal when the deformation of the historic building structure exceeds the set threshold, the method comprises the following steps:
generating an abnormal fault report, and reading abnormal conditions in the abnormal fault report;
generating a fault emergency scheme according to the abnormal conditions, and sending an abnormal fault report and the fault emergency scheme to each department.
6. The method for monitoring lifting construction of an ancient building structure according to claim 1, wherein the method comprises the following steps: the real-time deformation comprises the displacement of the bottom ground beam of the ancient building, the displacement of the upper structure of the ancient building, the foundation settlement of the ancient building and the inclination of the structure of the ancient building.
7. The utility model provides an ancient building structure lifting construction monitoring system which characterized in that: the method for monitoring the lifting construction of the historic building structure, which is applied to any one of claims 1-6, comprises a measuring equipment module (1), an actual measurement parameter database module (2), a data calculation formula library module (3) and an early warning report module (4), wherein the measuring equipment module (1) is used for monitoring the structural variation of each dimension when the historic building structure is lifted in real time; the actually measured parameter database module (2) is used for presetting an actually measured parameter database and inputting actually measured parameters; the data calculation formula library module (3) is used for presetting a data calculation formula library and calculating the real-time deformation of the ancient building structure; the early warning report module (4) is used for sending an early warning signal when the deformation of the ancient building structure exceeds a set threshold value.
8. The historic building structure lifting construction monitoring system according to claim 7, wherein: the system also comprises a big data intelligent model module (5) which is used for establishing a big data intelligent model and inputting an algorithm of the big data intelligent model.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of a method for monitoring lifting construction of a historic building structure according to any one of claims 1 to 6.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of a method for monitoring lifting construction of an historic building structure according to any one of claims 1 to 6.
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