CN114547759B - Creeping formwork construction monitoring method, creeping formwork construction monitoring system and computer readable storage medium - Google Patents

Creeping formwork construction monitoring method, creeping formwork construction monitoring system and computer readable storage medium Download PDF

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CN114547759B
CN114547759B CN202210419048.0A CN202210419048A CN114547759B CN 114547759 B CN114547759 B CN 114547759B CN 202210419048 A CN202210419048 A CN 202210419048A CN 114547759 B CN114547759 B CN 114547759B
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刘森
秦林
周伟善
梁晓波
严加宝
扶杰
闫建龙
黄俊溪
宋骁宇
郝宗朋
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China Tiesiju Civil Engineering Group Co Ltd CTCE Group
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Abstract

The invention provides a creeping formwork construction monitoring method, a creeping formwork construction monitoring system and a computer readable storage medium. The safety monitoring method of the creeping formwork device comprises the following steps: acquiring real-time monitoring data of state parameters of the creeping formwork device, wherein the state parameters comprise structural stress, structural deformation, spatial three-dimensional position and inclination angle change, wind load, live load and earthquake acceleration load; establishing a three-dimensional visual image according to the real-time monitoring data; and sending the three-dimensional visual image to a client for displaying. According to the safety monitoring method, the creeping formwork device is subjected to three-dimensional modeling by acquiring the state parameters of the creeping formwork, the monitoring result is fed back to the client in the form of a three-dimensional image, and the construction state of the creeping formwork device can be reflected quickly and clearly, so that the monitoring process is more visual and efficient.

Description

Creeping formwork construction monitoring method, system and computer readable storage medium
Technical Field
The invention relates to the technical field of production of fabricated buildings, in particular to a creeping formwork construction monitoring method and system and a computer readable storage medium.
Background
At present, the creeping formwork technology is a construction technology with high mechanization degree, high construction speed, safety guarantee and remarkable comprehensive benefit in concrete engineering and reinforced concrete engineering, and is widely popularized and applied to high-rise and super high-rise buildings. The safety and the overall stability of the creeping formwork support body are related to the quality, the progress and the safety of the whole project, and play a vital role in the whole construction process, so that the creeping formwork is subjected to safety monitoring and analysis, the stress characteristic and the working state of the creeping formwork are known, and the safety and the stability of the creeping formwork in the processes of installation, climbing, working and the like are particularly important.
The traditional climbing formwork safety monitoring method generally comprises the following steps: whether the climbing formwork support body is safely monitored on site by monitoring personnel, after all monitoring is completed, all monitoring data are manually processed and analyzed, and the structural potential safety hazards in which areas of the climbing formwork support body exist are judged.
The above method has the following disadvantages: the monitoring information of the creeping formwork device is usually displayed in a two-dimensional drawing mode, the manual drawing results in slow information transmission speed, the two-dimensional drawing is poor in intuition, and the reaction monitoring result cannot be intuitionistic and rapid.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to overcome the defects that the creeping formwork construction monitoring method in the prior art provides a two-dimensional image, which results in slow information transmission speed, poor two-dimensional image intuition, and incapability of intuitively and quickly reflecting the monitoring result, so as to provide a creeping formwork construction monitoring method, a creeping formwork construction monitoring system, and a computer readable storage medium capable of outputting a three-dimensional visual image.
In order to solve the above problems, the present invention provides a creeping formwork construction monitoring method, comprising: acquiring real-time monitoring data of state parameters of the creeping formwork device, wherein the state parameters comprise structural stress, structural deformation, spatial three-dimensional position and inclination angle change, wind load, live load and earthquake acceleration load; establishing a three-dimensional visual image according to the real-time monitoring data; and sending the three-dimensional visual image to a client for displaying.
Optionally, the creeping formwork construction monitoring method further includes: establishing a comparison decision module; establishing a prediction model according to the real-time monitoring data and obtaining a prediction result; and when the prediction result exceeds the corresponding limit value in the comparison decision module, sending alarm information to the client.
Optionally, the creeping formwork construction monitoring method further includes: establishing a solution database; and when the prediction result exceeds the corresponding limit value in the comparison decision module, sending a solution to the client.
Optionally, establishing a prediction model according to the real-time monitoring data and obtaining a prediction result, specifically including: establishing a digital twin prediction model according to the real-time monitoring data; establishing an artificial neural network prediction model through an artificial neural network system; and establishing the prediction model by combining the digital twin prediction model and the artificial neural network prediction model and obtaining the prediction result, wherein the prediction result comprises stress data and deformation data of the creeping formwork device.
Optionally, the establishing of the artificial neural network prediction model by the artificial neural network system specifically includes: acquiring real-time load and position information in the existing construction monitoring case as independent variables, and performing deep learning by taking stress data and deformation data as results; and establishing the artificial neural network prediction model through a mapping relation.
Optionally, establishing the prediction model by combining the digital twin prediction model and the artificial neural network prediction model, and obtaining the prediction result specifically includes: aiming at the measuring point position of the creeping formwork device, taking each second as a period, adopting the artificial neural network prediction model to carry out real-time prediction, and outputting the stress data and the deformation data of the measuring point position; and aiming at the non-measuring point position of the climbing formwork device, performing real-time prediction by adopting the digital twin prediction model every ten minutes, and outputting the stress data and the deformation data of the non-measuring point position.
Optionally, the creeping formwork construction monitoring method further includes: and optimally arranging the measuring point positions of the creeping formwork device according to the prediction result.
Optionally, the optimally arranging the measuring point positions of the climbing formwork device according to the prediction result specifically includes: establishing an analysis level and each level weight of the climbing formwork device according to the type and the importance of the measuring point position calculated by the digital twin prediction model; verifying the reasonableness of the weight of each measuring point position; establishing a measuring point scheme scoring system; obtaining a score standard of a measuring point scheme under a single working condition according to the weights of all the layers; acquiring a total score of a measuring point scheme according to different weights of working conditions; and optimally arranging the current measuring point positions according to the measuring point scheme scoring system and the total measuring point scheme scoring.
Optionally, verifying the reasonableness of the weight of each measuring point position specifically includes: establishing a judgment matrix for judging the importance of the position of each measuring point; acquiring a feature vector, a weight value and a maximum feature root value of each position in the judgment matrix; the reasonability of the weight of each measuring point position is verified based on the following first formula:
Figure GDA0003799492900000031
in the formula, n represents a matrix order, namely the arrangement number of certain measuring points, lambda max Representing the maximum eigenvalue of the matrix; and when the calculation result CI is less than 0.1, judging that the weight result of each measuring point position is reasonable.
Optionally, the obtaining a total score of the measuring point scheme according to different weights of the working conditions specifically includes: scoring each of the station positions of the bottom layer; acquiring an index score of each bottom layer; and (3) calculating the scoring standard of the measuring point scheme under a single working condition and different weights of the working condition according to the weights of all layers, and calculating the total scoring of the measuring point scheme according to the following second formula:
Figure GDA0003799492900000032
in the formula (f) x Representing the underlying index score; x represents a comparison value of the measuring point positions; x is the number of min And x max As score boundary, x 0 And x 0 ' is the scoring optimum interval.
Optionally, the optimal arrangement of the current station positions according to the station scheme scoring system and the total station scheme scoring specifically includes: when the single working condition score and the total score of the multi-working condition point measuring scheme both meet more than 90 points, the point measuring scheme is considered to meet the requirement; if not, adjusting the measuring point scheme under the working condition of low score, and replacing the measuring point position and the non-measuring point position: if the monitoring value of the non-measured point position after the replacement meets the following requirement, the position is added as the measured point position: r i ≥0.8R max (ii) a In the formula, R i Is the monitored value in the ith non-measured position; r max Early warning limit values for the positions of the measuring points; if the monitoring value of the measuring point position after the replacement is finished meets the following requirement, reducing the measuring point position: r j ≤0.8R max (ii) a In the formula, R j Is the monitored value in the jth measuring point position; r is max And the early warning limit value is the position of the measuring point.
Optionally, obtain the real-time monitoring value of the state parameter of the creeping formwork device, the state parameter includes structural stress and structural deformation, specifically includes: establishing a digital primary model according to the component size and the material information of the climbing formwork device; inputting creep mold loads of the creep mold device under different working conditions into the digital primary model to obtain positions of stress measuring points and deformation measuring points of the creep mold device; acquiring data detected by detection elements arranged at the stress measuring point positions, substituting the data into the following calculation formula, and acquiring a real-time monitoring value of the structural stress; wherein, the following third calculation formula is:
Figure GDA0003799492900000041
ε＝k(f-f 0 ) 2 +α(T-T 0 )
δ＝E×γε
in the formula, f represents the actually measured vibrating wire frequency; l represents the initial length of the vibrating wire; e s Representing the modulus of elasticity of the vibrating wire; Δ l represents the length increment of the vibrating wire; ρ represents the vibrating wire density; epsilon represents the measured strain of the surface; k represents the measurement sensitivity; f. of 0 Representing the initial frequency of the vibrating wire; alpha represents a vibrating wire temperature correction coefficient; t and T 0 Measured temperature and reference temperature respectively; e represents the elastic modulus of the frame material; gamma represents the safety factor of the initial stress of the creeping formwork before the strain gauge is installed, and delta represents the real-time monitoring value of the structural stress.
Optionally, a real-time monitoring value of a state parameter of the creeping formwork device is obtained, the state parameter includes a wind load, a live load and an earthquake acceleration load, and the method specifically includes: acquiring earthquake input acceleration values detected by detection elements arranged at measuring point positions on the top and the bottom of a construction platform and an inclined strut and a vertical rod of the construction platform of the creeping formwork device; acquiring an acceleration value detected by a detection element arranged at a measuring point position at the top of a construction platform; acquiring a construction platform load value detected by a detection element arranged at a measuring point position at the bottom of a construction platform; acquiring wind speeds detected by detection elements arranged at measuring point positions on an inclined strut and an upright of a construction platform; and calculating the wind load according to the measurement result, wherein the following fourth calculation formula is as follows:
W s ＝w o μ z μ s β z
Figure GDA0003799492900000051
in the formula, W s Representing the wind load when the wind direction is perpendicular to the member; w is a 0 Representing a standard value of the benchmark wind pressure; v represents the measured wind speed; mu.s z Represents the wind pressure coefficient, mu, with the height of the creeping formwork s Representing the figure safety factor; beta is a z And representing the safe adjustment coefficients at different climbing formwork heights.
The invention also provides a creeping formwork construction monitoring system, which comprises: the measuring point monitoring system is arranged at the monitoring position of the creeping formwork device and is suitable for acquiring and sending real-time monitoring data corresponding to the state parameter of the monitoring position; the data monitoring device is in communication connection with the measuring point monitoring system and is suitable for collecting, storing and sending the real-time monitoring data sent by the measuring point monitoring system; the cloud server is in communication connection with the data monitoring device, is suitable for analyzing and processing the real-time monitoring data sent by the data monitoring device, and is suitable for converting the real-time monitoring data into a three-dimensional visual image and sending the three-dimensional visual image; and the client is in communication connection with the cloud server and is suitable for receiving and displaying the three-dimensional visual image sent by the cloud server.
Optionally, the client includes: the comparison decision module is in communication connection with the cloud server; the alarm module is in communication connection with the comparison decision module; the cloud server is further suitable for analyzing and processing the real-time monitoring data sent by the data monitoring device and obtaining a prediction result, the limit value in the comparison decision module is compared with the real-time monitoring data and the prediction result, and the alarm module is triggered to send alarm information according to the comparison result.
Optionally, the client further includes: the solution database is in communication connection with the cloud server; and comparing the limit value in the comparison decision module with the real-time monitoring data and the prediction result, and sending a corresponding solution according to the comparison result.
The invention further provides a computer readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the creeping formwork construction monitoring method is realized.
The invention has the following advantages:
1. by utilizing the technical scheme of the invention, the creeping formwork device is subjected to three-dimensional modeling by acquiring the state parameters of the creeping formwork, and the monitoring result is fed back to the client in the form of a three-dimensional image, so that the construction state of the creeping formwork device can be quickly and clearly reflected, and the monitoring process is more visual and efficient.
2. By establishing a prediction model based on a digital twin and a neural network, real-time monitoring data and a working condition prediction result are compared with a specified limit value, early warning information can be sent to a client in time, and potential safety hazards in the construction process are effectively prevented.
3. By establishing the solution database, corresponding solutions can be sent according to different conditions, and workers can conveniently and quickly deal with emergency situations.
4. By additionally arranging the protective shell on the outer layer of the measuring element, the influence of the external environment on the measuring element can be avoided, the accuracy of a measured value is ensured, and the accuracy of a prediction system is ensured.
5. By adopting a method of combining digital twin and neural network prediction, the prediction efficiency is further improved, and the occupation of computer resources is reduced while the timeliness is realized.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a creeping formwork construction monitoring method according to the present invention;
FIG. 2 is a second flowchart of the creeping formwork construction monitoring method according to the present invention;
FIG. 3 is a third flowchart of the creeping formwork construction monitoring method of the present invention;
FIG. 4 is a fourth flowchart of the creeping formwork construction monitoring method in the present invention;
FIG. 5 is a fifth flowchart of a creeping formwork construction monitoring method according to the present invention;
FIG. 6 is a sixth flowchart of a creeping formwork construction monitoring method according to the present invention;
FIG. 7 is a seventh flowchart of the creeping formwork construction monitoring method according to the present invention;
FIG. 8 is an eighth flowchart of a creeping formwork construction monitoring method according to the present invention;
FIG. 9 is a ninth flowchart of a creeping formwork construction monitoring method according to the present invention;
FIG. 10 is a tenth flowchart of the creeping formwork construction monitoring method in the present invention;
FIG. 11 is an eleventh flowchart of a creeping formwork construction monitoring method according to the present invention;
FIG. 12 is a twelfth flow chart of the creeping formwork construction monitoring method according to the present invention;
FIG. 13 is one of the block diagrams of the creeping formwork construction monitoring system according to the present invention;
FIG. 14 is a second block diagram of the creeping formwork construction monitoring system according to the present invention;
FIG. 15 is a schematic view of a creeping formwork construction monitoring system in the present invention;
FIG. 15A is a flow chart of the first stage of FIG. 15 according to the present invention;
FIG. 15B is a flow chart of the second stage of the present invention as shown in FIG. 15;
FIG. 15C is a flow chart of the third stage of FIG. 15 according to the present invention;
FIG. 15D is a flowchart illustrating a fourth stage of the method of FIG. 15;
FIG. 15E is a flow chart of the fifth stage of the present invention as shown in FIG. 15;
FIG. 16 is a schematic diagram of the overall rating of the creeping formwork construction monitoring method in the present invention;
FIG. 17 is a schematic diagram of a determination matrix of the creeping formwork construction monitoring method in the present invention;
fig. 18 is a bottom layer index score chart of the creeping formwork construction monitoring method in the present invention.
Description of reference numerals:
110. a measuring point monitoring system; 120. a data monitoring device; 130. a cloud server; 140. a client; 141. a comparison decision module; 143. an alarm module; 145. a solution database.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Summary of the application
The traditional monitoring method not only provides a three-dimensional visual image, but also can only realize the real-time monitoring of the field working condition, can not realize the prediction and the alarm of the emergent dangerous condition, and further provides a targeted solution according to the prediction result. In addition, the traditional monitoring data acquisition amount is large, manual acquisition is easy to miss detection and generate errors, and the overall monitoring of the creeping formwork device is difficult to realize.
Exemplary creeping formwork construction monitoring method
Fig. 1 is a flowchart of a creeping formwork construction monitoring method, which includes:
step S101: acquiring real-time monitoring data of state parameters of the creeping formwork device, wherein the state parameters comprise structural stress, spatial three-dimensional position and inclination angle change, wind load, live load and earthquake acceleration load;
step S103: establishing a three-dimensional visual image according to the real-time monitoring data;
step S105: the three-dimensional visualization image is sent to the client 140 for display.
As shown in fig. 15, the first stage of the creeping formwork construction monitoring method: establishing a primary digital model and determining a measuring point arrangement scheme; the second stage is as follows: monitoring and uploading physical space and structural stress in real time; the third stage is as follows: cloud data processing and visual uploading; the fourth stage is as follows: digital twin analysis and neural network prediction; the fifth stage is as follows: an intelligent comparison decision and solution recommendation system.
The state parameters of the creeping formwork are measured by installing the measuring element on the creeping formwork device, so that the accurate measurement of data can be realized, the accuracy of prediction is improved, the safety and the construction quality of the construction process are effectively ensured, and the defect that the manual measurement easily generates errors is avoided. And the uploaded real-time monitoring data can be converted into a three-dimensional visual image by adopting a visual tool, the three-dimensional visual image is uploaded to the client 140, and the administrator can check the three-dimensional visual image through the APP on the mobile equipment. The visualization tool may select Tableau, Data-DrivenDocuments, ECharts, etc. The method comprises the steps of representing different data characteristics by attribute shapes, sizes, textures, colors, transparencies and the like, then converting visual primitives and attributes thereof into visual images, namely converting geometric data into image data, approving generated images and application data, and correcting the generated images and the application data by image processing if the generated images and the application data are inconsistent so as to achieve the accuracy of image display and form a cloud image reflecting the working state of the creeping formwork device.
Therefore, the simulation modeling software is adopted to carry out three-dimensional modeling on the creeping formwork device, the monitoring result is fed back to the client 140 in the form of a three-dimensional image, and the construction state of the creeping formwork device can be reflected quickly and clearly, so that the monitoring process is more visual and efficient.
Specifically, as shown in fig. 2, the creeping formwork construction monitoring method further includes:
step S201: establishing a comparison decision module;
step S203: establishing a prediction model according to the real-time monitoring data and obtaining a prediction result;
step S205: and when the prediction result exceeds the corresponding limit value in the comparison decision module, sending alarm information to the client 140.
According to the creeping formwork construction monitoring method, the stress and deformation states of the creeping formwork device in the next time period can be predicted by analyzing the monitoring data obtained by real-time monitoring, and a prediction result is obtained. And establishing an intelligent comparison decision module 141, comparing the real-time monitoring data and the prediction result with the corresponding limit value through an established algorithm, and sending early warning information to the client 140 when the real-time monitoring data and the prediction result exceed the limit value. When the client 140 receives the early warning information, a field alarm is triggered to remind workers of emergency treatment. The real-time monitoring data and the prediction result are compared with the corresponding limit values, early warning information can be sent to the client 140 in time, and potential safety hazards in the construction process are effectively prevented.
More specifically, the creeping formwork construction monitoring method further comprises the following steps:
step S301: as shown in fig. 3, a solution database is established;
step S303: and when the prediction result exceeds the corresponding limit value in the comparison decision module, sending a solution to the client.
According to the climbing formwork construction monitoring method, the solution database 145 is established, a mapping relation is established between the solution and the position overrun condition of stress and displacement which may occur under the working conditions of shutdown, climbing and construction, the mapping relation is input into the database, and the solution is recommended according to the real-time detection data of the site, for example, different numbers of wall-attached support rods can be additionally arranged for reinforcement, and the loading weight is reduced. When there is a potential safety hazard, the solution is issued simultaneously with the warning information.
Aiming at different solutions matched with the overrun condition, an intelligent comparison decision module 141 can be established in client 140 software and the mobile device APP, real-time monitoring data and a prediction result are compared with a specified limit value through an establishment algorithm, and early warning information and the corresponding solutions are sent to the client 140 when the real-time monitoring data and the prediction result exceed the specified limit value. By establishing the solution database 145, corresponding solutions can be sent according to different situations, and workers can conveniently and quickly deal with emergency situations.
More specifically, as shown in fig. 4, establishing a prediction model according to the real-time monitoring data and obtaining a prediction result specifically includes:
step S401: establishing a digital twin prediction model according to the real-time monitoring data;
step S403: establishing an artificial neural network prediction model through an artificial neural network system;
step S405: and establishing a prediction model by combining the digital twin prediction model and the artificial neural network prediction model and obtaining a prediction result, wherein the prediction result comprises stress data and deformation data of the creeping formwork device.
The digital twin prediction model is a digital twin prediction model based on a finite element technology, the real-time monitoring data of the state parameters of the climbing formwork device are input into simulation modeling software to form the digital twin prediction model, the real-time monitoring data are input into a high-performance computer simulation modeling software data interface through the cloud server 130, and the digital twin prediction model which is mapped in real time with the climbing formwork system is built based on the finite element technology.
In order to meet the real-time performance of structural performance calculation, the real-time structural prediction is realized by adopting a method of combining a digital twin prediction model and an artificial neural network prediction model, so that the calculation timeliness is improved, and the occupation of calculation resources is reduced.
More specifically, as shown in fig. 5, establishing an artificial neural network prediction model by an artificial neural network system specifically includes:
step S501: acquiring real-time load and position information in the existing construction monitoring case as independent variables, and performing deep learning by taking stress data and deformation data as results;
step S503: and establishing an artificial neural network prediction model through the mapping relation.
The Artificial Neural Network (ANN) system has the characteristics of self-adaption, self-organization and real-time learning, and the information processing process is close to the logical thinking process of the human brain. Therefore, the artificial neural network system is applied to the creeping formwork system detection, so that the detection efficiency and the safety are greatly improved.
The artificial neural network prediction model is established by adopting an artificial neural network system, real-time load and position information in the existing construction monitoring case are used as independent variables, stress data, deformation data and the like are used as results, the results are input into the artificial neural network system established based on a Tensorflow program for deep learning, and the mapping relation is established by repeatedly interacting the real-time load and position information with the stress data and deformation data monitored by the frame body, so that the establishment of the artificial neural network prediction model can be realized.
More specifically, as shown in fig. 6, establishing a prediction model by combining a digital twin prediction model and an artificial neural network prediction model and obtaining a prediction result specifically includes:
step S601: aiming at the measuring point position of the creeping formwork device, taking each second as a period, adopting an artificial neural network prediction model to carry out real-time prediction, and outputting stress data and deformation data of the measuring point position;
step S603: aiming at the non-measuring point position of the creeping formwork device, performing real-time prediction by adopting a digital twin prediction model in every ten minutes, and outputting stress data and deformation data of the non-measuring point position;
in the method, the prediction result capable of reflecting the measuring point position and the non-measuring point position is obtained according to the maximum monitoring value. By effectively combining a digital twin and an artificial neural network system, real-time monitoring data of the measuring point position and a prediction result of the digital twin prediction model are introduced into the artificial neural network prediction model for repeated interaction and deep learning, stress characteristics and working conditions of the creeping formwork under subsequent working conditions are efficiently and reasonably predicted, optimal arrangement of the measuring point position of the creeping formwork is realized, stress information and deformation information of each unfavorable position of the creeping formwork structure can be mastered in real time, the creeping formwork is circulated and reciprocated, safety early warning is carried out, a suggested solution is given, and the structure and personnel safety of the creeping formwork device in installation, climbing, working and the like are ensured.
And aiming at the measuring point position monitored in real time, taking each second as a period, and adopting an artificial neural network prediction system with high calculation efficiency to predict and output data such as stress, deformation and the like of the measuring point in real time. Aiming at the non-measuring point position of the creeping formwork structure, a digital twin prediction model which has longer calculation time and can reflect the integral stress deformation of the creeping formwork can be adopted for prediction. During prediction, the maximum monitoring values of various loads in the period are input into a digital twin prediction model for calculation by taking every ten minutes as the period, and a refined prediction result reflecting the positions of the measuring points and the positions of the non-measuring points at the same time can be obtained.
The predicted results include an estimated prediction of structural stress. And determining the quantity of constructors, instruments and building materials required by the creeping formwork structure in the next time period according to the construction progress schedule in the next time period, and calculating to obtain the live load change quantity acting on the creeping formwork structure in the next time period. And calculating the next-period wind load change quantity according to the height and the body type coefficient of the creeping formwork structure and the next-period weather condition predicted by the current weather station. Then, possible construction load, wind load and creeping formwork position information in the next time period are obtained through summarization, the maximum construction live load and wind load which are monitored in the current time period are used as basic values, the basic values are input into an artificial neural network prediction model after being substituted into a load change amount, the structural stress in the next time period is evaluated and predicted by taking one construction period as a period, and the obtained prediction result is input into a client 140 for early warning and solution output.
Specifically, the creeping formwork construction monitoring method further comprises the following steps: and optimally arranging the measuring point positions of the creeping formwork device according to the prediction result. The arrangement of the strain gauges can be increased or decreased according to the stress distribution condition, and the arrangement of measuring elements such as displacement meters and the like can be increased or decreased according to the deformation condition of each part of the structure, so that the optimal arrangement of measuring point positions is realized, and the monitoring quality can be improved.
Specifically, as shown in fig. 7, the optimizing the measuring point positions of the climbing formwork device according to the prediction result specifically includes:
step S701: establishing an analysis level and each level weight of the climbing formwork device according to the type and the importance of the measuring point position calculated by the digital twin prediction model;
step S703: verifying the reasonability of the weight of each measuring point position;
step S705: establishing a measuring point scheme scoring system;
step S707: obtaining a score standard of a measuring point scheme under a single working condition according to the weight of each level;
step S709: acquiring a total score of a measuring point scheme according to different weights of working conditions;
step S711: and optimally arranging the current measuring point position according to the measuring point scheme scoring system and the total scoring of the measuring point scheme.
In the method, all measuring point position results and the larger values of the non-measuring point position results corresponding to the number of the measuring point positions are sequentially arranged from large to small according to the prediction results of the measuring point positions and the non-measuring point positions calculated by the digital twin prediction model. And optimizing the arrangement of the measuring points by adopting an analytic hierarchy process, and establishing the analysis level and the weight of each level of the creeping formwork according to the type and the importance of the measuring points.
Furthermore, as shown in fig. 8, verifying the reasonableness of the weight of each measuring point position specifically includes:
step S801: establishing a judgment matrix for judging the importance of the position of each measuring point;
step S803: acquiring a feature vector, a weight value and a maximum feature root value of each position in a judgment matrix;
step S805: the reasonability of the weight of each measuring point position is verified based on the following formula:
Figure GDA0003799492900000131
in the formula, n represents the matrix order, namely the arrangement number of certain measuring points, lambda max Representing the maximum eigenvalue of the matrix;
and when the calculation result CI is less than 0.1, judging that the weight result of each measuring point position is reasonable.
As shown in fig. 17, a judgment matrix for judging the positions of the measuring points is established by adopting 10/10-18/2 scales, and the feature vector, the weight value and the maximum feature root value of each position of the judgment matrix are calculated based on Matlab software.
Specifically, as shown in fig. 9 and fig. 16, obtaining a total score of the measuring point scheme according to different weights of the working conditions specifically includes:
step S901: scoring the position of each measuring point on the bottom layer;
step S903: acquiring the index score of each bottom layer;
step S905: and (3) calculating the scoring standard of the measuring point scheme under a single working condition and different weights of the working condition according to the weights of all layers, and calculating the total scoring of the measuring point scheme:
Figure GDA0003799492900000141
in the formula (f) x A representative underlying indicator score; x represents a comparison value of the measuring point positions; x is a radical of a fluorine atom min And x max To score limits, x 0 And x 0 ' is the optimal interval for scoring, as shown in FIG. 18.
Establishing a measuring point scheme scoring system, quantifying corresponding monitoring indexes as scoring standards, scoring each measuring point at the bottom layer, taking a maximum stress point as an example, comparing monitoring values of n measuring point positions with larger monitoring values of the front n non-measuring point positions, scoring 100 when the values of the n measuring point positions are all larger than the monitoring values of the front n non-measuring point positions, scoring 0 when the values of the n measuring point positions are all smaller than the monitoring values of the front n non-measuring point positions, and linearly interpolating the middle score. And after the scores of the bottom layer indexes are calculated, calculating the score standard of the measuring point scheme under a single working condition according to the weights of all layers, and calculating the total score of the measuring point scheme according to different weights of the working condition by considering that the responses of all measuring points under different working conditions are different.
The method comprises the following steps of optimally arranging the current measuring point position according to a measuring point scheme scoring system and the total scoring of the measuring point scheme, and specifically comprises the following steps:
when the single working condition score and the total score of the multi-working condition point measuring scheme both meet more than 90 points, the point measuring scheme is considered to meet the requirement; if not, adjusting the measuring point scheme under the working condition of low score, and replacing the measuring point position and the non-measuring point position:
if the monitoring value of the position of the non-measured point after the replacement is completed meets the requirement of the following formula, adding the position as the measured point position:
R i ≥0.8R max
in the formula, R i Is the monitored value in the ith non-measured point position; r is max Early warning limit values for the positions of the measuring points;
if the monitoring value of the measuring point position after the replacement is finished meets the following requirement, reducing the measuring point position:
R j ≤0.8R max
in the formula, R j Is the monitored value in the jth measuring point position; r max And the early warning limit value is the position of the measuring point.
And feeding back the measuring point scheme to the step S101 by taking a construction stage as a period for updating and adjusting.
Further, as shown in fig. 10, a real-time monitoring value of a state parameter of the creeping formwork device is obtained, where the state parameter includes a structural stress, and specifically includes:
step S1001: establishing a digital primary model according to the component size and the material information of the creeping formwork device;
step S1003: inputting the creeping formwork load of the creeping formwork device under different working conditions into a digital primary model to obtain the measuring point position of the creeping formwork device;
step S1005: acquiring data detected by detection elements distributed at the positions of the measurement points, substituting the data into the following calculation formula, and acquiring a real-time monitoring value of structural stress; wherein, the calculation formula is:
Figure GDA0003799492900000151
ε＝k(f-f 0 ) 2 +α(T-T 0 )
δ＝E×γε
in the formula, f represents the actually measured vibrating wire frequency; l represents the initial length of the vibrating wire; es represents the elastic modulus of the vibrating wire; Δ l represents the length increment of the vibrating wire; ρ represents the vibrating wire density; epsilon represents the measured strain of the surface; k represents the measurement sensitivity; f. of 0 Representing the initial frequency of the vibrating wire; alpha represents a vibrating wire temperature correction coefficient; t and T 0 Are respectively trueMeasuring temperature and reference temperature; e represents the elastic modulus of the frame material; gamma represents a safety factor that takes into account the initial stress of the spider before installing the strain gauges. The parameters are measured by a vibrating wire strain gauge, and the vibrating wire strain gauge can measure the length change of an internal vibrating wire and the surface temperature change of a frame body and convert the length change into strain through calculation. Wherein, delta l and T are measured values, f and epsilon are calculated values, and the others are initial determination parameters; δ represents a real-time monitored value of structural stress.
After the specific specification of the creeping formwork device can be determined according to the actual engineering requirement, a visual creeping formwork structure model diagram is established through Revit software in the BIM, and the component size and material information of the main body structure and the creeping formwork structure are simplified and input into structure simulation calculation software. And according to different structure and component characteristics, establishing a digital primary model by a finite element method by adopting the beam unit and the truss unit. The simulation calculation software comprises Midas software and Ansys software. The digital primary model comprises geometric and material information of a creeping formwork frame body of the creeping formwork device, is mainly established according to structural information in construction and design drawings, real-time load information is not input, and a digital twin concept is not formed.
The establishing process of the digital primary model comprises the following steps: firstly, frame body information of the creeping formwork device is acquired through paper or electronic drawings, a digital primary model is established through a high-performance computer and commercial structure simulation calculation software, stress analysis is completed through input of standard regulations or design loads, and the result is used for guiding the arrangement of subsequent measuring elements.
According to the actual conditions of the creeping formwork device in different working conditions of a construction stage, a climbing stage and a strong wind shutdown stage, creeping formwork loads are determined, the creeping formwork loads comprise design loads or standard loads, the creeping formwork loads are input into the established digital primary model, the stress state of the creeping formwork under each working condition is obtained through analysis, the stress distribution and the integral deformation of the creeping formwork device are obtained, and the stress concentration position and the maximum deformation position of the creeping formwork device are marked. The stress state is the stress condition of the creeping formwork structure under different working conditions, and mainly comprises the overall stress, strain, axial force, deformation distribution condition and the like of the creeping formwork structure. The unfavorable positions of the structure are the concentrated positions of certain stress and deformation in the structure or the positions where the cross section of the member is weak and easy to break.
And selectively selecting monitoring positions according to the marked unfavorable positions to optimize the component arrangement of the creeping formwork device, and establishing a measuring point position arrangement scheme for monitoring the stress, deformation and the like of the creeping formwork structure according to the analysis result of the optimized creeping formwork integral model. The main measuring point positions comprise: the maximum stress point, the point with larger stress change, the construction key point and the characteristic point influenced by the load. At least 2 strain measurement sensing units are arranged on different sections of each component, and the strain measurement sensing units can be uniformly distributed or distributed at selected key positions. The strain gauge is used for measuring the deformation of a vibrating wire and converting the deformation into the change of the natural frequency of the vibrating wire, further measuring the strain change, and converting the structural stress through Hooke's law. The displacement meter is used for measuring the deformation of the creeping formwork component.
Specifically, as shown in fig. 11, a real-time monitoring value of a state parameter of the climbing device is obtained, where the state parameter includes a spatial three-dimensional position and a change in an inclination angle, and the method specifically includes:
step S1101: acquiring the positions of the measuring points according to the geometric boundary, the center and the irregular position of the climbing formwork device;
step S1103: and acquiring real-time monitoring values of the three-dimensional space position and the change of the inclination angle detected by the measuring instrument arranged at the measuring point position.
According to the method, monitoring targets can be arranged on the geometric boundary and the specific position of the creeping formwork device according to the geometric characteristics of the creeping formwork device, wherein the specific position comprises the geometric center and the geometric irregular position of the outer contour of the creeping formwork device, and the spatial three-dimensional position and the inclination angle change of the targets are monitored in real time by measuring instruments such as a robot, a gradienter and the like, so that the real-time information such as the ground height, the horizontal position, the included angle with the ground and the like of the creeping formwork device is obtained.
Furtherly, acquire the real-time monitoring value of creeping formwork device's state parameter, state parameter includes wind load, live load and earthquake acceleration load, specifically includes:
acquiring earthquake input acceleration values detected by detection elements arranged at measuring point positions on the top and the bottom of a construction platform and an inclined strut and a vertical rod of the construction platform of the creeping formwork device; acquiring an acceleration value detected by a detection element arranged at a measuring point position at the top of the construction platform, and acquiring a load value of the construction platform detected by the detection element arranged at the measuring point position at the bottom of the construction platform; acquiring wind speeds detected by detection elements arranged at measuring point positions on an inclined strut and a vertical rod of a construction platform; and calculating the wind load according to the measurement result, wherein the calculation formula is as follows:
W s ＝w o μ z μ s β z
Figure GDA0003799492900000171
in the formula, W s Representing the wind load when the wind direction is perpendicular to the member; w is a 0 Representing a standard value of the benchmark wind pressure; v represents the measured wind speed; mu.s z The wind pressure coefficient is 1.0 when the height of 10m and below is changed along with the height of the creeping formwork, the height of 10m to 15m is 1.13, the height of 15m to 20m is 1.23, the height of 20m to 30m is 1.39, the height of 30m to 40m is 1.52, and the wind pressure coefficient can be adjusted along with the height increase; mu.s s The safety factor of the body type is shown, and 2.11 can be taken for the climbing formwork frame body; beta is a z The height of 20m and below is 1.0, the height of 20m to 25m is 1.1, the height of 25m to 30m is 1.25, the height of 30m to 35m is 1.3, the height of 35m to 40m is 1.35, and the adjustment can be carried out along with the increase of the height.
And a load sensor is arranged at the bottom of each construction platform of the creeping formwork device, so that the size of the load live load on the creeping formwork support body construction platform is monitored in real time. Since the earthquake acceleration has a great influence on the structure of the creeping formwork device when an earthquake occurs, monitoring and subsequent analysis are required. The method is characterized in that accelerometers are arranged on each construction platform of the creeping formwork, the climbing acceleration and the earthquake input acceleration of the creeping formwork structure of the creeping formwork device are monitored in real time, and wind speed conditions of each position of a frame body are monitored in real time by arranging anemometers on structural members such as inclined struts and vertical rods of the construction platform of each layer of creeping formwork device, and are subsequently used for determining the wind load of the frame body.
The real-time load information mainly includes the load size and the load distribution condition, and the cloud server 130 inputs the data interface of the high-performance computer structure simulation calculation software, including acceleration information, wind load information, real-time live load information and the like in the climbing process.
And then inputting the real-time load information of each part of the creeping formwork structure of the creeping formwork device into a digital primary model, and integrally analyzing the creeping formwork structure by using structural simulation calculation software to form a digital twin model corresponding to the field working condition in real time and obtain the calculation result of the digital twin model of the structural stress and the deformation at the arrangement position of the structural stress measuring point corresponding to the first stage. And uploading the real-time calculation result, and entering an intelligent comparison decision and solution recommendation system.
Real-time artificial neural network prediction models are established by inputting real-time load information, actually measured monitoring point stress and deformation data and digital twin model calculation results into an Artificial Neural Network (ANN) system for deep learning under each working condition and by repeatedly interacting the actually measured data of the monitoring points and the digital twin model calculation results.
The composition, size and position information of the corresponding creeping formwork structure under the next construction working condition can be given through the artificial neural network prediction model, meanwhile, the occurrence probability of various loads can be predicted in real time, and the stress, displacement and deformation distribution conditions of the creeping formwork under the subsequent working condition can be obtained by inputting the predicted load information into the digital twin model. And uploading the predicted creep-formwork structural stress and deformation state under the next working condition to an intelligent comparison decision and solution recommendation system in the client 140 software and the mobile device app.
And returning the stress and deformation prediction data of the key part components to the step of optimally arranging the measuring point positions of the creeping formwork device according to the prediction result, optimally adjusting the arrangement of the stress measuring points of the structure, increasing/decreasing the arrangement of strain gauges according to the stress distribution condition, and increasing or decreasing the arrangement of measuring elements such as displacement gauges and the like according to the deformation condition of each part of the structure, thereby realizing the optimal arrangement of monitoring point positions.
Exemplary creeping formwork construction monitoring system
As shown in fig. 13, the creeping formwork construction monitoring system includes: the monitoring system 110 is arranged at the monitoring position of the creeping formwork device, and the monitoring system 110 is suitable for acquiring and sending real-time monitoring data corresponding to the state parameters of the monitoring position. The data monitoring device 120 is in communication connection with the station monitoring system 110, and the data monitoring device 120 is suitable for collecting, storing and sending real-time monitoring data sent by the station monitoring system 110. The cloud server 130 is in communication connection with the data monitoring device 120, the cloud server 130 is suitable for analyzing and processing real-time monitoring data sent by the data monitoring device 120, and the cloud server 130 is suitable for converting the real-time monitoring data into a three-dimensional visual image and sending the three-dimensional visual image. The client 140 is in communication connection with the cloud server 130, and the client 140 is adapted to receive and display the three-dimensional visual image sent by the cloud server 130.
The measuring point monitoring system 110 is a creeping formwork monitoring system based on a digital twin and neural network technology, and mainly comprises a primary digital model and measuring point arrangement module, a physical space and structural stress real-time monitoring module, a cloud data processing and visual uploading module, a digital twin analysis and prediction module, and an intelligent comparison decision and solution database 145 module.
The primary digital model and measuring point arrangement module comprises a strain gauge, a displacement meter, an adjustable level meter, an accelerometer, an anemometer, a measuring robot and the like, is simple and convenient to install, and mainly has the main function of amplifying information of real-time monitoring data of measuring point positions and transmitting the information to the data monitoring device 120. The strain gauge may be a combination of one or more measuring elements such as a vibrating wire surface strain gauge and a resistance strain gauge. The strain gauge is used for collecting strain response of key parts of the climbing formwork structure of the climbing formwork device under a normal working state, a climbing working condition and a strong wind working condition. Other measuring elements such as a displacement meter and an accelerometer are mainly used for acquiring stress and deformation information of the climbing formwork structure of the climbing formwork device under the climbing working condition. The adjustable gradienter is used for acquiring the inclination change of a frame body of the climbing formwork device at different climbing positions. The anemometer is usually arranged on the top of a frame body of the creeping formwork device and mainly used for measuring the wind load in the construction process. The measuring robot is also called a full-automatic total station, firstly, a positioning target is arranged at the geometric boundary position of a climbing formwork frame body, and the position change of the frame body of the climbing formwork device in the space is determined by monitoring the initial position and the final position of the target in a period of time.
The physical space and structural stress real-time monitoring module uploads physical space data and structural stress data which are monitored in real time, and the physical space and structural stress real-time monitoring module specifically comprises the following modules:
(1) after the measuring element is installed on site, a protective shell is additionally arranged on the outer layer of the measuring element, so that the measuring element is protected from being influenced by the outside to the maximum extent.
(2) The measuring element transmits the measured data of the key components of the climbing structure of the climbing device to the data monitoring device 120 in a wired transmission mode or a wireless transmission mode, and simultaneously feeds back the working state of the measuring element to a construction site manager in real time by taking one day as a unit.
(3) The data monitoring device 120 collects and stores monitoring data such as stress, deformation, physical space position, real-time load and the like of the critical part of the creeping formwork structure monitored in real time, uploads the monitoring data to the cloud server 130 in real time by using the internet, and meanwhile, field constructors upload construction progress to the cloud server 130 stage by stage.
The physical space and structural stress real-time monitoring module includes a measuring element protection device, a data monitoring device 120, and a power supply device. Measuring element protection device is mainly for setting up the protecting sheathing outside measuring element, and protecting sheathing is one deck or multilayer structure, and waterproof, resistance to compression, lightning strike and do not have shielding effect to electromagnetic signal, have played resistance to compression, waterproof and lightning protection effect, and protection electron original paper is not crushed and is prevented that moisture from getting into.
The data monitoring device 120 mainly comprises a data acquisition instrument with a data acquisition function and a wireless transmission function, the data monitoring device 120 is used for acquiring and converting signals sent by a plurality of measurement elements on site, and can transmit the obtained real-time monitoring data to the cloud server 130 in a wireless transmission or wired transmission mode and store the real-time monitoring data. The power supply device is mainly a storage battery and can supply power for the measuring element and the data monitoring device 120, and the storage battery can be replaced after the battery is fed.
The cloud server 130 is internally provided with a data processing module, a visual uploading module and a data storage module, the data processing module processes monitoring data uploaded by measuring elements stored by the data storage module through a pre-processing algorithm, the monitoring data is collected and divided according to the types of the measuring elements, abnormal data is screened and filtered, the physical space position of the current climbing device is determined, and stress, strain and load marks are carried out on all the positions of the structure of the climbing device. The visual uploading module converts physical information in the mass data into a visual signal set with an organization structure through mapping, and outputs a visual cloud picture, namely a visual three-dimensional image.
The cloud server 130 receives and stores data of the physical spatial position, structural strain, real-time wind speed, weather, and the like of the climbing formwork structure collected by the data monitoring device 120. According to the corresponding relation between the measuring element and the mounting position, the mounting position information of the measuring element and the collected data are integrated, processed and packaged through a data processing software design algorithm, and the stress, strain and load state of the current creep formwork physical space position and each key position of the creep formwork structure are determined.
The method comprises the steps of converting preprocessed real-time monitoring data into geometric data through a visualization tool by adopting a Web development technology, namely mapping numerical data into visual graphic symbols, representing dimensions of characteristic data such as attribute shape, size, texture, color and transparency, and then converting visual primitives and attributes thereof into visual images, namely converting the geometric data into image data, and forming a cloud picture of a visual reaction creeping formwork structure working state.
Uploading the real-time visual cloud picture integrated with the creeping formwork data to client 140 software and mobile device app, allowing managers to check the real-time visual cloud picture through the mobile device, feeding back the field safety state, analyzing the safety state of the creeping formwork structure through an intelligent safety decision module in the software, analyzing the safety state of the creeping formwork structure, and sending the safety state to a prediction model.
The cloud server 130 further includes a prediction model, and the prediction model includes a digital twin prediction model and an artificial neural network prediction model. The digital twin prediction model is a digital twin prediction model computing system, real-time load data input in real time are input into the digital twin prediction model, and real-time stress and deformation simulation results of a frame body structure of the creeping formwork device are output to the artificial neural network prediction model through high-performance computer computation simulation. The artificial neural network prediction model is an artificial neural network prediction reasoning system, and can be established based on input of load values under various working conditions, stress data and deformation data of a measuring point position monitored in real time and a calculation result of a digital twin prediction model through repeated interaction of actual measurement monitoring data of the measuring point position and the calculation result of the digital twin prediction model so as to predict load distribution information of the next construction working condition. And returning and inputting the load information obtained by prediction into the digital twin prediction model, calculating the stress and deformation state of the frame body of the creeping formwork device under the next construction working condition, and uploading the stress and deformation state to the client 140.
As shown in fig. 14, the client 140 includes: the cloud server comprises a comparison decision module 141 and an alarm module 143, wherein the comparison decision module 141 is in communication connection with the cloud server 130, and the alarm module 143 is in communication connection with the comparison decision module 141. The cloud server 130 is further adapted to analyze and process the real-time monitoring data sent by the data monitoring device 120, obtain a prediction result, compare the limit value in the decision module 141 with the real-time monitoring data and the prediction result, and trigger the alarm module 143 to send alarm information according to the comparison result.
The comparison decision module 141 compares the uploaded real-time monitoring data with the digital twin prediction model data in real time by establishing a software algorithm, and when the real-time monitoring data, the real-time calculation result of the digital twin prediction model and the prediction result of the digital twin prediction model predicted by inference of the artificial neural network prediction model exceed a specified limit value, the system provides corresponding warning information. On-site risk pre-control measures can be taken via alarm module 143. Specifically, the site manager receives the alarm prompt sent by the software of the client 140 or the app of the mobile device, and the site layout alarm sounds to prompt the constructors to evacuate.
The client 140 further includes: the solution database 145 is in communication with the cloud server 130. The limit value in the comparison decision module 141 is compared with the real-time monitoring data and the prediction result, and a corresponding solution is sent according to the comparison result.
The solution database 145 establishes a mapping relationship with solutions based on the position overrun condition of stress and displacement which may occur under the working conditions of shutdown, climbing and construction, and stores the mapping relationship in the solution database 145. And recommending a solution according to the field monitoring data. And the field management personnel receives the sent warning prompt through software of the client 140 or mobile device app and recommends a solution in real time, the field arrangement alarm sounds to remind the construction personnel to evacuate, and the climbing structure of the climbing device is subjected to pre-control measures by combining the recommended solution and the experience of the construction management personnel.
In the solution database 145, the comparison decision module 141 and the alarm module 143, the uploaded real-time monitoring data and the numerical theoretical model data of the digital twin prediction model are compared and calculated in real time through the software of the client 140 and the intelligent comparison decision data function in the mobile device app. When the field monitoring data is smaller than the digital twin numerical model prediction data and smaller than the regulation limit value, no warning is given; when the on-site real-time monitoring data is larger than the calculation data of the digital twin prediction model and smaller than the regulation limit value, warning for early warning; when the prediction result of the digital twin prediction model after the analysis of the artificial neural network prediction model is greater than the standard limit value, the digital twin prediction model is a yellow warning; and when the real-time monitoring data on the site exceeds the specified limit value of the specification, red warning is given, and the real-time monitoring data is fed back to a construction site manager in software in real time, and early warning instructions are sent to guide site construction.
When an alert occurs, solutions can be automatically searched from a solution library and generated in real-time according to a solution recommendation system. And establishing a mapping relation between the position overrun condition of stress and displacement possibly occurring under the working conditions of shutdown, climbing and construction and the solution, inputting the mapping relation into a database, and recommending the solution according to field detection data, thereby realizing the simultaneous release of the solution and the early warning information.
And the field management personnel sound an alarm through warning information and a pre-control solution sent by client 140 software or mobile device app to remind the constructors of evacuating, and pre-control measures are taken for the creeping formwork structure by combining the recommended solution and the experience of the construction management personnel, so that potential safety hazards are eliminated to reduce loss.
And after the construction of the project main body structure is finished, dismantling the creeping formwork and each system device for subsequent projects to continue to use.
As shown in fig. 12, the creeping formwork safety monitoring system in the present invention sequentially obtains state parameters, uploads data, processes data, optimizes working conditions and monitoring points, and performs early warning and solution recommendation, thereby realizing safety monitoring of creeping formwork.
Exemplary computer readable storage Medium
The computer readable storage medium stores thereon a computer program, and the computer program, when executed by a processor, implements the above-described creeping construction monitoring method.
The computer-readable storage medium can implement the steps of the creeping formwork construction monitoring method in any of the above embodiments, and can achieve the same technical effects, so that all the beneficial effects of any of the above embodiments are achieved, and no further description is given here.
The computer-readable storage medium in this embodiment is, for example, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
According to the above description, the present application has the following advantages:
1. the construction state of the creeping formwork device can be quickly and clearly reflected, so that the monitoring process is more visual and efficient.
2. Early warning information can be sent to the client in time, and potential safety hazards in the construction process are effectively prevented.
3. Corresponding solutions can be sent according to different situations, and workers can conveniently and quickly deal with emergency situations.
4. The influence of the external environment on the measuring element can be avoided, the accuracy of the measured value is ensured, and the accuracy of a prediction system is ensured.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. This need not be, nor should it be exhaustive of all embodiments. And obvious variations or modifications derived therefrom are intended to be within the scope of the invention.

Claims (12)

1. A creeping formwork construction monitoring method is characterized by comprising the following steps:
acquiring real-time monitoring data of state parameters of a creeping formwork device, wherein the state parameters comprise structural stress, structural deformation, spatial three-dimensional position and inclination angle change, wind load, live load and earthquake acceleration load;
secondly, establishing a three-dimensional visual image according to the real-time monitoring data;
step three, sending the three-dimensional visual image to a client for displaying;
the system also comprises a comparison decision-making establishing module, a prediction model and a prediction result acquiring module, wherein the comparison decision-making establishing module is used for establishing a prediction model according to the real-time monitoring data and acquiring a prediction result;
when the prediction result exceeds the corresponding limit value in the comparison decision module, sending alarm information to the client;
the establishing of the prediction model and the obtaining of the prediction result by the real-time monitoring data specifically comprise:
establishing a digital twin prediction model according to the real-time monitoring data;
establishing an artificial neural network prediction model through an artificial neural network system;
establishing the prediction model by combining the digital twin prediction model and the artificial neural network prediction model and obtaining the prediction result, wherein the prediction result comprises stress data and deformation data of the creeping formwork device; the method specifically comprises the following steps: aiming at the measuring point position of the creeping formwork device, taking each second as a period, adopting the artificial neural network prediction model to carry out real-time prediction, and outputting the stress data and the deformation data of the measuring point position; aiming at the non-measuring point position of the creeping formwork device, adopting the digital twin prediction model to perform real-time prediction every ten minutes, and outputting the stress data and the deformation data of the non-measuring point position;
and optimally arranging the measuring point positions of the creeping formwork device according to the prediction result, which specifically comprises the following steps:
establishing an analysis level and each level weight of the climbing formwork device according to the type and the importance of the measuring point position calculated by the digital twin prediction model;
verifying the reasonableness of the weight of each measuring point position;
establishing a measuring point scheme scoring system;
obtaining a measuring point scheme scoring standard under a single working condition according to the weights of all levels;
acquiring a total score of a measuring point scheme according to different weights of working conditions;
and optimally arranging the current measuring point positions according to the measuring point scheme scoring system and the total measuring point scheme scoring.
2. The creeping formwork construction monitoring method according to claim 1, further comprising:
establishing a solution database;
and when the prediction result exceeds the corresponding limit value in the comparison decision module, sending a solution to the client.
3. The creeping formwork construction monitoring method according to claim 1, wherein the establishing of the artificial neural network prediction model by the artificial neural network system specifically comprises:
acquiring real-time load and position information in the existing construction monitoring case as independent variables, and performing deep learning by taking stress data and deformation data as results;
and establishing the artificial neural network prediction model through a mapping relation.
4. The creeping formwork construction monitoring method according to claim 1, wherein verifying the reasonableness of the weight of each measuring point position specifically comprises:
establishing a judgment matrix for judging the importance of the position of each measuring point;
acquiring a feature vector, a weight value and a maximum feature root value of each position in the judgment matrix;
the reasonability of the weight of each measuring point position is verified based on the following first formula:
Figure FDA0003740842440000021
in the formula, n represents a matrix order, namely the arrangement number of certain measuring points, lambda max Representing the maximum eigenvalue of the matrix;
and when the calculation result CI is less than 0.1, judging that the weight result of each measuring point position is reasonable.
5. The creeping formwork construction monitoring method according to claim 1, wherein the obtaining of the total score of the measuring point scheme according to different weights of working conditions specifically comprises:
scoring each of the station locations of the bottom layer;
acquiring an index score of each bottom layer;
according to the weights of all layers, the scoring standard of the measuring point scheme under a single working condition and different weights of the working condition are obtained, and the total scoring of the measuring point scheme is obtained according to the following second formula:
Figure FDA0003740842440000031
in the formula (f) x Representing the underlying index score; x represents a comparison value of the measuring point positions; x is the number of min And x max As score boundary, x 0 And x 0 ' is the scoring optimum interval.
6. The creeping formwork construction monitoring method as claimed in claim 1, wherein the optimal arrangement of the current measuring point positions is performed according to the measuring point scheme scoring system and the measuring point scheme total scoring, and specifically comprises:
when the single working condition score and the total score of the multi-working condition point measuring scheme both meet more than 90 points, the point measuring scheme is considered to meet the requirement; if not, adjusting the measuring point scheme under the working condition of low score, and replacing the measuring point position and the non-measuring point position:
if the monitoring value of the position of the non-measured point after the replacement is completed meets the requirement of the following formula, adding the position as the measured point position:
R i ≥0.8R max
in the formula, R i Is the monitored value in the ith non-measured position; r max Early warning limit values for the positions of the measuring points;
if the monitoring value of the measuring point position after the replacement is finished meets the following requirement, reducing the measuring point position:
R j ≤0.8R max
in the formula, R j Is the monitored value in the jth measuring point position; r max And the early warning limit value is the position of the measuring point.
7. The creeping formwork construction monitoring method according to any one of claims 1 to 6, wherein a real-time monitoring value of a state parameter of the creeping formwork device is obtained, the state parameter includes a structural stress, and specifically includes:
establishing a digital primary model according to the component size and the material information of the creeping formwork device;
inputting the creeping formwork loads of the creeping formwork device under different working conditions into the digital primary model to obtain the measuring point position of the creeping formwork device;
acquiring data detected by detection elements distributed at the measuring point positions, substituting the data into the following calculation formula, and acquiring a real-time monitoring value of the structural stress; wherein, the following third calculation formula is:
Figure FDA0003740842440000041
ε＝k(f-f 0 ) 2 +α(T-T 0 )
δ＝E×γε
in the formula, f represents the actually measured vibrating wire frequency; l represents the initial length of the vibrating wire; es represents the elastic modulus of the vibrating wire; Δ l represents the length increment of the vibrating wire; ρ represents the vibrating wire density; epsilon gaugeShowing the measured strain of the surface; k represents the measurement sensitivity; f. of 0 Representing the initial frequency of the vibrating wire; alpha represents a vibrating wire temperature correction coefficient; t and T 0 Measured temperature and reference temperature respectively; e represents the elastic modulus of the frame material; gamma represents the safety factor of the initial stress of the creeping formwork before the strain gauge is installed; δ represents a real-time monitored value of structural stress.
8. The creeping formwork construction monitoring method according to any one of claims 1 to 6, wherein a real-time monitoring value of a state parameter of the creeping formwork device is obtained, the state parameter includes a wind load, a live load and an earthquake acceleration load, and specifically includes:
acquiring earthquake input acceleration values detected by detection elements arranged at measuring point positions on the top and the bottom of a construction platform and an inclined strut and a vertical rod of the construction platform of the creeping formwork device; acquiring a construction platform load value detected by a detection element arranged at a measuring point position at the bottom of a construction platform; acquiring wind speeds detected by detection elements arranged at measuring point positions on an inclined strut and a vertical rod of a construction platform; and calculating the wind load according to the measurement result, wherein the following fourth calculation formula is as follows:
W s ＝w o μ z μ s β z
Figure FDA0003740842440000051
in the formula, W s Representing the wind load when the wind direction is perpendicular to the member; w is a 0 Representing a standard value of the benchmark wind pressure; v represents the measured wind speed; mu.s z Represents the wind pressure coefficient, mu, with the height of the creeping formwork s Representing the body type safety factor; beta is a z And representing the safe adjustment coefficients at different climbing formwork heights.
9. A creeping formwork construction monitoring system using the creeping formwork construction monitoring method according to claim 1, comprising:
the measuring point monitoring system is arranged at the monitoring position of the creeping formwork device and is suitable for acquiring and sending real-time monitoring data corresponding to the state parameter of the monitoring position;
the data monitoring device is in communication connection with the measuring point monitoring system and is suitable for collecting, storing and sending the real-time monitoring data sent by the measuring point monitoring system;
the cloud server is in communication connection with the data monitoring device, is suitable for analyzing and processing the real-time monitoring data sent by the data monitoring device, and is suitable for converting the real-time monitoring data into a three-dimensional visual image and sending the three-dimensional visual image;
and the client is in communication connection with the cloud server and is suitable for receiving and displaying the three-dimensional visual image sent by the cloud server.
10. The creeping formwork construction monitoring system of claim 9, wherein the client comprises:
the comparison decision module is in communication connection with the cloud server;
the alarm module is in communication connection with the comparison decision module;
the cloud server is further suitable for analyzing and processing the real-time monitoring data sent by the data monitoring device and obtaining a prediction result, the limit value in the comparison decision module is compared with the real-time monitoring data and the prediction result, and the alarm module is triggered to send alarm information according to the comparison result.
11. The creeping formwork construction monitoring system defined in claim 10, wherein the client further comprises:
the solution database is in communication connection with the cloud server;
and comparing the limit value in the comparison decision module with the real-time monitoring data and the prediction result, and sending a corresponding solution according to the comparison result.
12. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, implements the creeping construction monitoring method according to any one of claims 1 to 8.
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