CN111241660A - Civil engineering experiment detection system and method based on cloud computing technology - Google Patents
Civil engineering experiment detection system and method based on cloud computing technology Download PDFInfo
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Abstract
The invention belongs to the technical field of civil engineering experiment detection, and discloses a civil engineering experiment detection system and method based on a cloud computing technology, wherein the civil engineering experiment detection method based on the cloud computing technology comprises the following steps: engineering experiment data information is acquired, and is imported into a main control computer after cloud computing processing; building a civil engineering experiment model, performing experiment simulation and generating experiment simulation data; comparing the acquired civil engineering experiment data with experiment simulation data; and evaluating the civil engineering quality and generating an evaluation result and an experimental report. According to the invention, the health state of the civil engineering structure can be rapidly, accurately and timely obtained through the engineering structure monitoring module, the damage value is compared with the threshold value data, the alarm information is output, and the timeliness is strong; the engineering model building module drives the model according to the modifiable hard point table and the user-defined virtual actuator, so that the workload is reduced, and the efficiency of engineering quantity model building is improved.
Description
Technical Field
The invention belongs to the technical field of civil engineering experiment detection, and particularly relates to a civil engineering experiment detection system and method based on a cloud computing technology.
Background
Civil engineering is a general term for scientific technology for building various land engineering facilities. It refers to both the materials, equipment used and the technical activities carried out such as surveying, designing, construction, maintenance, repair, etc., as well as the objects of engineering construction. I.e. various engineering facilities such as houses, roads, railways, pipelines, tunnels, bridges, canals, dams, ports, power stations, airports, ocean platforms, water supply and drainage and protection projects, which are built on or under the ground, on land and directly or indirectly serve human life, production, military affairs and scientific research. The civil engineering refers to engineering entities for surveying, planning, designing, constructing, installing and maintaining various technical works and the like of newly-built, reconstructed or expanded buildings, structures, related supporting facilities and the like of various projects except house buildings. However, the existing civil engineering experiment detection system based on the cloud computing technology is incomplete and inaccurate in engineering structure monitoring information; meanwhile, the construction efficiency of the engineering model is low.
In summary, the problems of the prior art are as follows: the existing civil engineering experiment detection system based on the cloud computing technology has incomplete and inaccurate engineering structure monitoring information; meanwhile, the construction efficiency of the engineering model is low.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a civil engineering experiment detection system and method based on a cloud computing technology.
The invention is realized in such a way that a civil engineering experiment detection method based on a cloud computing technology comprises the following steps:
monitoring a civil engineering experiment through monitoring equipment, and acquiring engineering experiment data information: (1) establishing a database for storing material characteristic parameters of a civil engineering structure by a data processing program;
(2) sampling and acquiring stress data of a plurality of time points of a monitoring part of the structural member;
(3) processing the stress data of the plurality of time points, and calculating equivalent stress values corresponding to the plurality of time points;
(4) calculating damage values corresponding to the multiple time points according to the equivalent stress values of the multiple time points;
(5) and analyzing the equivalent stress value and the damage value of the current time point of the monitoring part of the structural member, and alarming when the equivalent stress value and the damage value exceed a preset threshold value.
Performing cloud computing processing on the civil engineering experiment data obtained in the step one by using a cloud computing model through a cloud server; and importing the civil engineering experiment data subjected to the cloud computing into the main control computer through a data import program.
Step three, building a civil engineering experiment model through a main control machine control modeling program: 1) acquiring or constructing a BIM initial model through a modeling program; acquiring a hard point file of a BIM initial model, wherein the hard point file at least comprises position information of each hard point of the BIM initial model;
2) reading the coordinate value of each hard point in the hard point file to form a modifiable hard point table;
3) carrying out parameterization processing on the BIM initial model, establishing association between the BIM initial model and a hard point table, and releasing each associated hard point in the BIM initial model;
4) inserting a virtual parameter actuator into the constructed BIM initial model, wherein the virtual parameter actuator is used for driving parameter change, and changing the hard point table within a specified range after establishing a relationship with each parameter in the BIM initial model;
5) and the BIM initial model autonomously changes according to the obtained hard point table and outputs a BIM engineering quantity model.
And step four, carrying out experimental simulation on the civil engineering structure by using the civil engineering experimental model obtained in the step four through an engineering simulation program, and generating experimental simulation data.
Step five, comparing the civil engineering experiment data obtained in the step one with the experiment simulation data obtained in the step four through an experiment result judging program to generate experiment comparison data: (I) mapping the acquired civil engineering experiment data and experiment simulation data respectively to obtain a first key value pair of multi-line data in the civil engineering experiment data and a second key value pair of multi-line data in the experiment simulation data;
(II) sorting the first key-value pair and the second key-value pair respectively to obtain a sorted first key-value pair and a sorted second key-value pair; merging the sorted first key value pairs and the sorted second key value pairs to obtain a merging result;
(III) judging whether the value values of the key value pairs in the merging result are the same or not to obtain a judgment result, and comparing the first data and the second data to be compared according to the judgment result.
Step six, evaluating the civil engineering quality according to the experimental comparison data obtained in the step five through a quality evaluation program, and generating an evaluation result; and generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generating program.
Further, after the sixth step, the following steps are also required: step 1, early warning abnormal data information of a civil engineering experiment through an acousto-optic early warning device;
step 4, sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding time limit, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server, and carrying out remote control of experiments;
and 5, displaying the civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding period, the quality evaluation result, the experiment report and the real-time data of the early warning information through the display.
Further, in the first step, the processing the stress data at the multiple time points in the step (3) to calculate equivalent stress values corresponding to the multiple time points specifically includes:
setting a damage value calculation model;
setting initial values of all parameters in the damage value calculation model;
outputting a calculation result;
after the processing the stress data at the multiple time points and calculating the equivalent stress values corresponding to the multiple time points, the method further includes:
drawing and displaying an equivalent stress time course curve;
after calculating the damage values corresponding to the plurality of time points according to the equivalent stress values of the plurality of time points, the method further includes: and (5) drawing a damage value time course curve and displaying the damage value time course curve.
Further, in the first step, the analyzing the equivalent stress value and the damage value of the current time point of the monitoring part of the structural member in the step (5), and alarming when the equivalent stress value and the damage value exceed a preset threshold specifically includes:
setting initial conditions of analysis;
setting mechanical parameters of the structural member;
setting an alarm threshold value of equivalent stress;
controlling the starting and stopping of the analysis process;
in the setting of the initial conditions of the analysis, the initial conditions specifically include:
the initial time of analysis, the initial damage amount of the structural member, and the sampling frequency of the stress data.
Further, in the third step, the virtual parameter actuator calculates and solves different parameters through the driving simulation analysis module, so as to output a corresponding hard point table; and the virtual parameter actuator is also used for driving the corresponding BIM model actuating module to change the BIM initial model according to the hard point table.
Further, in step three, the hard point table is established by the following steps:
reading the coordinate numerical value of each hard point in the hard point file by using Matlab, importing the coordinate numerical value into an EXCEL file, and storing the name and the coordinate numerical value of each hard point and the distance between two adjacent coordinates in a first form of the EXCEL file; and placing the hard point coordinate name in a first column of a second form of the EXCEL file, wherein the second column is linked to the corresponding coordinate value in the first form, and a third column is linked to the distance between the two corresponding coordinates in the first form, and the EXCEL file is the modifiable hard point table.
Further, in step five, the value of the key-value pair is obtained as follows:
generating a value in the first key value pair according to the storage path of the civil engineering experiment data and the data content of each row of data in the multiple rows of data of the civil engineering experiment data; and generating a value in the second key value pair according to the storage path of the experimental simulation data and the data content of each row of data in the plurality of rows of data of the experimental simulation data.
Another object of the present invention is to provide a civil engineering experiment detection system based on a cloud computing technology, which applies the civil engineering experiment detection method based on a cloud computing technology, wherein the civil engineering experiment detection system based on a cloud computing technology includes:
the system comprises an engineering experiment monitoring module, a cloud computing processing module, an experiment data importing module, a central control module, an experiment model constructing module, an engineering simulation module, an experiment result judging module, an engineering quality evaluating module, an experiment report generating module, an abnormity early warning module, an experiment period reminding module, a data storage module, a terminal module and a display module.
The engineering experiment monitoring module is connected with the experiment data import module and used for monitoring the civil engineering experiment through monitoring equipment and acquiring engineering experiment data information;
the cloud computing processing module is connected with the central control module and is used for carrying out cloud computing processing on civil engineering experiment data through the cloud server by utilizing the cloud computing model;
the experiment data import module is connected with the engineering experiment monitoring module and the central control module and used for importing civil engineering experiment data subjected to cloud computing processing into the main control computer through a data import program;
the central control module is connected with the engineering experiment monitoring module, the cloud computing processing module, the experiment data importing module, the experiment model constructing module, the engineering simulation module, the experiment result judging module, the engineering quality evaluating module, the experiment report generating module, the abnormity early warning module, the experiment period reminding module, the data storage module, the terminal module and the display module and is used for controlling each module to normally work through the main control computer;
the experiment model building module is connected with the central control module and used for building a civil engineering experiment model through a modeling program;
the engineering simulation module is connected with the central control module and used for carrying out experimental simulation on the civil engineering structure by utilizing a civil engineering experimental model through an engineering simulation program and generating experimental simulation data;
the experiment result judging module is connected with the central control module and used for comparing the acquired civil engineering experiment data with the experiment simulation data through an experiment result judging program to generate experiment comparison data;
the engineering quality evaluation module is connected with the central control module and used for evaluating the civil engineering quality according to the experiment comparison data through a quality evaluation program and generating an evaluation result;
the experiment report generation module is connected with the central control module and used for generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generation program;
the abnormality early warning module is connected with the central control module and is used for early warning abnormal data information of the civil engineering experiment through the acousto-optic early warning device;
the experimental construction period reminding module is connected with the central control module and used for setting the starting and ending time of construction period reminding through construction period reminding equipment and reminding the experimental construction period;
the data storage module is connected with the central control module and used for storing the acquired civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding time limit for a project, the quality evaluation result, the experiment report and the real-time data of the early warning information through the cloud server;
the terminal module is connected with the central control module and used for sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding time limit, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server and carrying out remote control on experiments;
and the display module is connected with the central control module and used for displaying the civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding time limit for a project, the quality evaluation result, the experiment report and the real-time data of the early warning information through the display.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the civil engineering experiment detection method based on cloud computing technology when the computer program product is executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to execute the civil engineering experiment detection method based on the cloud computing technology.
The invention has the advantages and positive effects that: according to the invention, the health state of the civil engineering structure can be rapidly, accurately and timely obtained through the engineering structure monitoring module, the damage value is compared with the threshold value data, the alarm information is output, and the timeliness is strong; meanwhile, the engineering model building module drives the model according to the modifiable hard point table and the self-defined virtual actuator, so that the workload is reduced, and the efficiency of engineering quantity model building is improved.
Mapping acquired civil engineering experiment data and experiment simulation data through an experiment result judging module to obtain a first key value pair of multi-line data in the civil engineering experiment data and a second key value pair of multi-line data in the experiment simulation data; sorting the first key value pairs and the second key value pairs respectively to obtain sorted first key value pairs and sorted second key value pairs; merging the sorted first key value pairs and the sorted second key value pairs to obtain a merging result; and judging whether the value values of the key value pairs in the merging result are the same or not to obtain a judgment result, and comparing the first data and the second data to be compared according to the judgment result, so that dependence on the data sequence in the file can be avoided, and the data comparison efficiency is effectively improved.
Drawings
Fig. 1 is a flow chart of a civil engineering experiment detection method based on a cloud computing technology according to an embodiment of the invention.
FIG. 2 is a block diagram of a civil engineering experiment detection system based on cloud computing technology according to an embodiment of the present invention;
in the figure: 1. an engineering experiment monitoring module; 2. a cloud computing processing module; 3. an experiment data import module; 4. a central control module; 5. an experiment model construction module; 6. an engineering simulation module; 7. an experimental result judging module; 8. an engineering quality evaluation module; 9. an experiment report generation module; 10. an anomaly early warning module; 11. an experiment construction period reminding module; 12. a data storage module; 13. a terminal module; 14. and a display module.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a civil engineering experiment detection method based on a cloud computing technology provided by an embodiment of the present invention includes the following steps:
s101, monitoring a civil engineering experiment through monitoring equipment, and acquiring engineering experiment data information; and carrying out cloud computing processing on the civil engineering experiment data by using the cloud computing model through the cloud server.
S102, importing the civil engineering experiment data subjected to cloud computing into a main control computer through a data importing program; and controlling the normal operation of the civil engineering experiment detection system through the master controller.
S103, building a civil engineering experiment model through a modeling program; and carrying out experimental simulation on the civil engineering structure by utilizing a civil engineering experimental model through an engineering simulation program, and generating experimental simulation data.
S104, comparing the acquired civil engineering experiment data with experiment simulation data through an experiment result judging program to generate experiment comparison data; and evaluating the civil engineering quality according to the experimental comparison data through a quality evaluation program, and generating an evaluation result.
S105, generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generating program; early warning abnormal data information of a civil engineering experiment through an acousto-optic early warning device; and setting the starting and ending time of the project period reminding by the project period reminding equipment, and reminding the experiment project period.
And S106, storing the acquired civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding period, the quality evaluation result, the experiment report and the real-time data of the early warning information through the cloud server.
And S107, sending the civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding period, the quality evaluation result, the experiment report form and the real-time data of the early warning information to the mobile terminal through the cloud server, and carrying out remote control on the experiment.
And S108, displaying the civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding period, the quality evaluation result, the experiment report and the real-time data of the early warning information through the display.
As shown in fig. 2, a civil engineering experiment detection system based on a cloud computing technology provided by an embodiment of the present invention includes: the system comprises an engineering experiment monitoring module 1, a cloud computing processing module 2, an experiment data importing module 3, a central control module 4, an experiment model constructing module 5, an engineering simulation module 6, an experiment result judging module 7, an engineering quality evaluating module 8, an experiment report generating module 9, an abnormity early warning module 10, an experiment period reminding module 11, a data storage module 12, a terminal module 13 and a display module 14.
The engineering experiment monitoring module 1 is connected with the experiment data import module 3 and used for monitoring the civil engineering experiment through monitoring equipment and acquiring engineering experiment data information;
the cloud computing processing module 2 is connected with the central control module 4 and is used for carrying out cloud computing processing on civil engineering experiment data through a cloud server by utilizing a cloud computing model;
the experiment data import module 3 is connected with the engineering experiment monitoring module 1 and the central control module 4 and is used for importing civil engineering experiment data subjected to cloud computing to the main control computer through a data import program;
the central control module 4 is connected with the engineering experiment monitoring module 1, the cloud computing processing module 2, the experiment data importing module 3, the experiment model constructing module 5, the engineering simulation module 6, the experiment result judging module 7, the engineering quality evaluating module 8, the experiment report generating module 9, the abnormity early warning module 10, the experiment period reminding module 11, the data storage module 12, the terminal module 13 and the display module 14, and is used for controlling each module to normally work through the main control computer;
the experiment model building module 5 is connected with the central control module 4 and used for building a civil engineering experiment model through a modeling program;
the engineering simulation module 6 is connected with the central control module 4 and used for carrying out experimental simulation on the civil engineering structure by utilizing a civil engineering experimental model through an engineering simulation program and generating experimental simulation data;
the experiment result judging module 7 is connected with the central control module 4 and used for comparing the acquired civil engineering experiment data with the experiment simulation data through an experiment result judging program to generate experiment comparison data;
the engineering quality evaluation module 8 is connected with the central control module 4 and used for evaluating the civil engineering quality according to the experiment comparison data through a quality evaluation program and generating an evaluation result;
the experiment report generation module 9 is connected with the central control module 4 and used for generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generation program;
the abnormity early warning module 10 is connected with the central control module 4 and is used for early warning abnormal data information of civil engineering experiments through an acousto-optic early warning device;
the experimental construction period reminding module 11 is connected with the central control module 4 and used for setting the starting and ending time of construction period reminding through construction period reminding equipment and reminding the experimental construction period;
the data storage module 12 is connected with the central control module 4 and used for storing the acquired civil engineering experiment data information, experiment models, experiment simulation data, reminding time limit for a project, quality evaluation results, experiment reports and real-time data of early warning information through the cloud server;
the terminal module 13 is connected with the central control module 4 and used for sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding time limit for a project, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server and carrying out remote control on experiments;
and the display module 14 is connected with the central control module 4 and is used for displaying the civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding time limit for a project, the quality evaluation result, the experiment report and the real-time data of the early warning information through a display.
The invention is further described with reference to specific examples.
Example 1
As shown in fig. 1, a civil engineering experiment detection method based on a cloud computing technology according to an embodiment of the present invention is a preferred embodiment, where the method for monitoring a civil engineering experiment by using a monitoring device and acquiring data information of the civil engineering experiment according to the embodiment of the present invention includes:
(1) a database for storing material characteristic parameters of a civil engineering structure is created by a data processing program.
(2) Stress data of a plurality of time points of a monitoring part of the structural component is obtained through sampling.
(3) And processing the stress data of the plurality of time points, and calculating equivalent stress values corresponding to the plurality of time points.
(4) And calculating damage values corresponding to the multiple time points according to the equivalent stress values of the multiple time points.
(5) And analyzing the equivalent stress value and the damage value of the current time point of the monitoring part of the structural member, and alarming when the equivalent stress value and the damage value exceed a preset threshold value.
The processing of the stress data at the multiple time points in step (3) provided in the embodiment of the present invention to calculate equivalent stress values corresponding to the multiple time points specifically includes:
setting a damage value calculation model;
setting initial values of all parameters in the damage value calculation model;
outputting a calculation result;
after the processing the stress data at the multiple time points and calculating the equivalent stress values corresponding to the multiple time points, the method further includes: drawing and displaying an equivalent stress time course curve;
after calculating the damage values corresponding to the plurality of time points according to the equivalent stress values of the plurality of time points, the method further includes: and (5) drawing a damage value time course curve and displaying the damage value time course curve.
The analyzing the equivalent stress value and the damage value of the current time point of the monitoring part of the structural member in the step (5) provided by the embodiment of the invention, and alarming when the equivalent stress value and the damage value exceed the preset threshold value specifically comprises the following steps:
setting initial conditions of analysis;
setting mechanical parameters of the structural member;
setting an alarm threshold value of equivalent stress;
controlling the starting and stopping of the analysis process;
in the setting of the initial conditions of the analysis, the initial conditions specifically include:
the initial time of analysis, the initial damage amount of the structural member, and the sampling frequency of the stress data.
Example 2
Fig. 1 shows a civil engineering experiment detection method based on a cloud computing technology according to an embodiment of the present invention, and as a preferred embodiment, a method for building a civil engineering experiment model by a modeling program according to an embodiment of the present invention is as follows:
1) acquiring or constructing a BIM initial model through a modeling program; and acquiring a hard point file of the BIM initial model, wherein the hard point file at least comprises position information of each hard point of the BIM initial model.
2) And reading the coordinate value of each hard point in the hard point file to form a modifiable hard point table.
3) And carrying out parameterization processing on the BIM initial model, establishing association between the BIM initial model and a hard point table, and issuing each associated hard point in the BIM initial model.
4) And inserting a virtual parameter actuator into the constructed BIM initial model, wherein the virtual parameter actuator is used for driving parameter change, and changing the hard point table in a specified range after establishing a relation with each parameter in the BIM initial model.
5) And the BIM initial model autonomously changes according to the obtained hard point table and outputs a BIM engineering quantity model.
The virtual parameter actuator provided by the embodiment of the invention performs calculation and solution on different parameters through the driving simulation analysis module, so as to output a corresponding hard point table.
The virtual parameter actuator provided by the embodiment of the invention is also used for driving the corresponding BIM model actuating module to change the BIM initial model according to the hard point table.
The hard point table provided by the embodiment of the invention is established by the following steps: reading the coordinate numerical value of each hard point in the hard point file by using Matlab, importing the coordinate numerical value into an EXCEL file, and storing the name and the coordinate numerical value of each hard point and the distance between two adjacent coordinates in a first form of the EXCEL file; and placing the hard point coordinate name in a first column of a second form of the EXCEL file, wherein the second column is linked to the corresponding coordinate value in the first form, and a third column is linked to the distance between the two corresponding coordinates in the first form, and the EXCEL file is the modifiable hard point table.
Example 3
Fig. 1 shows a civil engineering experiment detection method based on a cloud computing technology according to an embodiment of the present invention, and as a preferred embodiment, a method for comparing civil engineering experiment data with experiment simulation data by an experiment result determination program and generating experiment comparison data according to an embodiment of the present invention is as follows:
(I) mapping the acquired civil engineering experiment data and the experiment simulation data respectively to obtain a first key value pair of multi-line data in the civil engineering experiment data and a second key value pair of multi-line data in the experiment simulation data.
(II) sorting the first key-value pair and the second key-value pair respectively to obtain a sorted first key-value pair and a sorted second key-value pair; and merging the sorted first key value pairs and the sorted second key value pairs to obtain a merging result.
(III) judging whether the value values of the key value pairs in the merging result are the same or not to obtain a judgment result, and comparing the first data and the second data to be compared according to the judgment result.
The method for acquiring the value of the key value pair provided by the embodiment of the invention comprises the following steps:
generating a value in the first key value pair according to the storage path of the civil engineering experiment data and the data content of each row of data in the multiple rows of data of the civil engineering experiment data; and generating a value in the second key value pair according to the storage path of the experimental simulation data and the data content of each row of data in the plurality of rows of data of the experimental simulation data.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. A civil engineering experiment detection method based on a cloud computing technology is characterized by comprising the following steps:
monitoring a civil engineering experiment through monitoring equipment, and acquiring engineering experiment data information: (1) establishing a database for storing material characteristic parameters of a civil engineering structure by a data processing program;
(2) sampling and acquiring stress data of a plurality of time points of a monitoring part of the structural member;
(3) processing the stress data of the plurality of time points, and calculating equivalent stress values corresponding to the plurality of time points;
(4) calculating damage values corresponding to the multiple time points according to the equivalent stress values of the multiple time points;
(5) analyzing the equivalent stress value and the damage value of the current time point of the monitoring part of the structural member, and alarming when the equivalent stress value and the damage value exceed a preset threshold value;
performing cloud computing processing on the civil engineering experiment data obtained in the step one by using a cloud computing model through a cloud server; importing civil engineering experiment data subjected to cloud computing into a main control computer through a data import program;
step three, building a civil engineering experiment model through a main control machine control modeling program: 1) acquiring or constructing a BIM initial model through a modeling program; acquiring a hard point file of a BIM initial model, wherein the hard point file at least comprises position information of each hard point of the BIM initial model;
2) reading the coordinate value of each hard point in the hard point file to form a modifiable hard point table;
3) carrying out parameterization processing on the BIM initial model, establishing association between the BIM initial model and a hard point table, and releasing each associated hard point in the BIM initial model;
4) inserting a virtual parameter actuator into the constructed BIM initial model, wherein the virtual parameter actuator is used for driving parameter change, and changing the hard point table within a specified range after establishing a relationship with each parameter in the BIM initial model;
5) the BIM initial model autonomously changes according to the obtained hard point table and outputs a BIM engineering quantity model;
step four, carrying out experimental simulation on the civil engineering structure by using the civil engineering experimental model obtained in the step four through an engineering simulation program, and generating experimental simulation data;
step five, comparing the civil engineering experiment data obtained in the step one with the experiment simulation data obtained in the step four through an experiment result judging program to generate experiment comparison data: (I) mapping the acquired civil engineering experiment data and experiment simulation data respectively to obtain a first key value pair of multi-line data in the civil engineering experiment data and a second key value pair of multi-line data in the experiment simulation data;
(II) sorting the first key-value pair and the second key-value pair respectively to obtain a sorted first key-value pair and a sorted second key-value pair; merging the sorted first key value pairs and the sorted second key value pairs to obtain a merging result;
(III) judging whether values of the key value pairs in the merging result are the same or not to obtain a judgment result, and comparing the first data and the second data to be compared according to the judgment result;
step six, evaluating the civil engineering quality according to the experimental comparison data obtained in the step five through a quality evaluation program, and generating an evaluation result; and generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generating program.
2. The civil engineering experiment detection method based on the cloud computing technology as claimed in claim 1, wherein after the sixth step, the following steps are carried out: step 1, early warning abnormal data information of a civil engineering experiment through an acousto-optic early warning device;
step 2, setting start-stop time of project period reminding through project period reminding equipment, and reminding the experimental project period;
step 3, storing the acquired civil engineering experiment data information, experiment models, experiment simulation data, reminding time limit, quality evaluation results, experiment reports and real-time data of early warning information through a cloud server;
step 4, sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding time limit, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server, and carrying out remote control of experiments;
and 5, displaying the civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding period, the quality evaluation result, the experiment report and the real-time data of the early warning information through the display.
3. The civil engineering experiment detection method based on the cloud computing technology as claimed in claim 1, wherein in the first step, the step (3) of processing the stress data at the plurality of time points to calculate the equivalent stress values corresponding to the plurality of time points specifically comprises:
setting a damage value calculation model;
setting initial values of all parameters in the damage value calculation model;
outputting a calculation result;
after the processing the stress data at the multiple time points and calculating the equivalent stress values corresponding to the multiple time points, the method further includes:
drawing and displaying an equivalent stress time course curve;
after calculating the damage values corresponding to the plurality of time points according to the equivalent stress values of the plurality of time points, the method further includes: and (5) drawing a damage value time course curve and displaying the damage value time course curve.
4. The civil engineering experiment detection method based on cloud computing technology as claimed in claim 1, wherein in step one, the step (5) of analyzing the equivalent stress value and damage value of the current time point of the monitoring part of the structural member, and alarming when the equivalent stress value and damage value exceed a preset threshold specifically comprises:
setting initial conditions of analysis;
setting mechanical parameters of the structural member;
setting an alarm threshold value of equivalent stress;
controlling the starting and stopping of the analysis process;
in the setting of the initial conditions of the analysis, the initial conditions specifically include:
the initial time of analysis, the initial damage amount of the structural member, and the sampling frequency of the stress data.
5. The civil engineering experiment detection method based on the cloud computing technology as claimed in claim 1, wherein in step three, the virtual parameter actuator performs calculation solution for different parameters by driving a simulation analysis module, so as to output a corresponding hard point table; and the virtual parameter actuator is also used for driving the corresponding BIM model actuating module to change the BIM initial model according to the hard point table.
6. The civil engineering experiment detection method based on the cloud computing technology as claimed in claim 1, wherein in step three, the hard point table is established by the following steps:
reading the coordinate numerical value of each hard point in the hard point file by using Matlab, importing the coordinate numerical value into an EXCEL file, and storing the name and the coordinate numerical value of each hard point and the distance between two adjacent coordinates in a first form of the EXCEL file; and placing the hard point coordinate name in a first column of a second form of the EXCEL file, wherein the second column is linked to the corresponding coordinate value in the first form, and a third column is linked to the distance between the two corresponding coordinates in the first form, and the EXCEL file is the modifiable hard point table.
7. The civil engineering experiment detection method based on the cloud computing technology as claimed in claim 1, wherein in step five, the value of the key-value pair is obtained by the following method:
generating a value in the first key value pair according to the storage path of the civil engineering experiment data and the data content of each row of data in the multiple rows of data of the civil engineering experiment data; and generating a value in the second key value pair according to the storage path of the experimental simulation data and the data content of each row of data in the plurality of rows of data of the experimental simulation data.
8. A civil engineering experiment detection system based on cloud computing technology, applying the civil engineering experiment detection method based on cloud computing technology according to any one of claims 1 to 7, characterized in that the civil engineering experiment detection system based on cloud computing technology comprises:
the engineering experiment monitoring module is connected with the experiment data import module and used for monitoring the civil engineering experiment through monitoring equipment and acquiring engineering experiment data information;
the cloud computing processing module is connected with the central control module and is used for carrying out cloud computing processing on civil engineering experiment data through the cloud server by utilizing the cloud computing model;
the experiment data import module is connected with the engineering experiment monitoring module and the central control module and used for importing civil engineering experiment data subjected to cloud computing processing into the main control computer through a data import program;
the central control module is connected with the engineering experiment monitoring module, the cloud computing processing module, the experiment data importing module, the experiment model constructing module, the engineering simulation module, the experiment result judging module, the engineering quality evaluating module, the experiment report generating module, the abnormity early warning module, the experiment period reminding module, the data storage module, the terminal module and the display module and is used for controlling each module to normally work through the main control computer;
the experiment model building module is connected with the central control module and used for building a civil engineering experiment model through a modeling program;
the engineering simulation module is connected with the central control module and used for carrying out experimental simulation on the civil engineering structure by utilizing a civil engineering experimental model through an engineering simulation program and generating experimental simulation data;
the experiment result judging module is connected with the central control module and used for comparing the acquired civil engineering experiment data with the experiment simulation data through an experiment result judging program to generate experiment comparison data;
the engineering quality evaluation module is connected with the central control module and used for evaluating the civil engineering quality according to the experiment comparison data through a quality evaluation program and generating an evaluation result;
the experiment report generation module is connected with the central control module and used for generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generation program;
the abnormality early warning module is connected with the central control module and is used for early warning abnormal data information of the civil engineering experiment through the acousto-optic early warning device;
the experimental construction period reminding module is connected with the central control module and used for setting the starting and ending time of construction period reminding through construction period reminding equipment and reminding the experimental construction period;
the data storage module is connected with the central control module and used for storing the acquired civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding time limit for a project, the quality evaluation result, the experiment report and the real-time data of the early warning information through the cloud server;
the terminal module is connected with the central control module and used for sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding time limit, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server and carrying out remote control on experiments;
and the display module is connected with the central control module and used for displaying the civil engineering experiment data information, the experiment model, the experiment simulation data, the reminding time limit for a project, the quality evaluation result, the experiment report and the real-time data of the early warning information through the display.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the method of civil engineering experiment detection based on cloud computing technology of any of claims 1 to 7 when executed on an electronic device.
10. A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to execute the civil engineering experiment detection method based on the cloud computing technology according to any one of claims 1 to 7.
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