CN111241660B - 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 system and a method for detecting a civil engineering experiment based on a cloud computing technology, wherein the method for detecting the civil engineering experiment based on the cloud computing technology comprises the following steps: acquiring engineering experiment data information, performing cloud computing processing, and then importing the engineering experiment data information into a main control computer; building a civil engineering experimental model, performing experimental simulation and generating experimental simulation data; comparing the acquired civil engineering experimental data with experimental simulation data; and evaluating the civil engineering quality, and generating an evaluation result and an experimental report. The invention can rapidly, accurately and timely obtain the health state of the civil engineering structure through the engineering structure monitoring module, and output alarm information by comparing the damage value with the threshold value data, thereby having strong timeliness; and driving the model through the engineering model construction module according to the modifiable hard-point table and the self-defined virtual actuator, so that the workload is reduced, and the engineering quantity model construction efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of civil engineering experiment detection, and particularly relates to a system and a method for detecting civil engineering experiment based on a cloud computing technology.
Background
Civil engineering is a generic term for science and technology in building various types of earth engineering facilities. It refers to both the materials and equipment used and the technical activities of surveying, designing, constructing, maintaining, repairing, etc. performed, as well as the objects of engineering construction. I.e., built on the ground or underground, land, various engineering facilities directly or indirectly serving human life, production, military, scientific research, such as houses, roads, railways, pipes, tunnels, bridges, canals, dams, ports, power stations, airports, ocean platforms, water supply and drainage, protection engineering, etc. Civil engineering refers to various technical works such as investigation, planning, design, construction, installation and maintenance and the like and finished engineering entities thereof for building, constructing or expanding various engineering besides house construction. 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: the existing civil engineering experiment detection system based on the cloud computing technology is incomplete and inaccurate in monitoring information of an engineering structure; meanwhile, the construction efficiency of the engineering model is low.
Disclosure of Invention
Aiming at the problems existing 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, and the civil engineering experiment detection method based on the cloud computing technology comprises the following steps:
step one, monitoring civil engineering experiments through monitoring equipment, and acquiring engineering experiment data information: (1) Establishing a database for storing material characteristic parameters of the civil engineering structure through a data processing program;
(2) Sampling and obtaining stress data of a plurality of time points of a monitoring part of the structural member;
(3) Processing the stress data of the time points, and calculating equivalent stress values corresponding to the time points;
(4) Calculating damage values corresponding to the time points according to the equivalent stress values of the 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 the preset threshold.
Step two, cloud computing processing is carried out on the civil engineering experimental data obtained in the step one by utilizing a cloud computing model through a cloud server; and importing the civil engineering experimental data subjected to cloud computing processing to a main control computer through a data importing program.
Step three, constructing a civil engineering experimental model by controlling a modeling program through a main control computer: 1) Acquiring or constructing a BIM initial model through a modeling program; obtaining a hard point file of a BIM initial model, wherein the hard point file at least comprises the position information of each hard point of the BIM initial model;
2) Reading the coordinate values of all hard points in the hard point file to form a modifiable hard point table;
3) Carrying out parameterization treatment 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 built BIM initial model, wherein the virtual parameter actuator is used for driving parameter changes, 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 automatically 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 experimental data obtained in the step one with the experimental simulation data obtained in the step four through an experimental result judging program to generate experimental comparison data: (I) Mapping the acquired civil engineering experimental data and experimental simulation data respectively to obtain first key value pairs of multiple lines of data in the civil engineering experimental data and second key value pairs of multiple lines of data in the experimental simulation data;
(II) sorting the first and second key-value pairs, respectively, to obtain sorted first and second key-value pairs; combining the ordered first key value pairs with the ordered second key value pairs to obtain a combined result;
and (III) judging whether the value of the key value pair in the merging result is the same, obtaining a judging result, and comparing the first data to be compared with the second data according to the judging result.
Step six, evaluating the civil engineering quality according to the experimental ratio data obtained in the step five by 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 generation program.
Further, after the sixth step, the following steps are further performed: step 1, carrying out early warning on abnormal data information of a civil engineering experiment through an acousto-optic early warning device;
step 4, real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding construction periods, quality evaluation results, experiment reports and early warning information are sent to a mobile terminal through a cloud server, and remote control of experiments is carried out;
and 5, displaying real-time data of civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through a display.
In a first step, the processing the stress data at the multiple time points in the step (3) calculates equivalent stress values corresponding to the multiple time points, and specifically includes:
setting a damage value calculation model;
setting initial values of all parameters in the damage value calculation model;
outputting a calculation result;
the processing the stress data of the time points, and after calculating equivalent stress values corresponding to the time points, further includes:
drawing and displaying an equivalent stress time curve;
after calculating the damage values corresponding to the time points according to the equivalent stress values of the time points, the method further comprises the following steps: and drawing and displaying a damage value time course curve.
In a 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) specifically includes:
setting initial conditions of analysis;
setting mechanical parameters of the structural member;
setting an alarm threshold value of equivalent stress;
performing start-stop control on the analysis process;
the initial conditions of the setting analysis specifically include:
the initial time of analysis, the initial damage amount of the structural member, and the sampling frequency of the stress data.
In the third step, the virtual parameter actuator calculates and solves different parameters through driving the simulation analysis module, so that a corresponding hard point table is output; 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 the third step, the hard point table is built by the following steps:
reading coordinate values of all hard points in the hard point file by using Matlab, importing the coordinate values into an EXCEL file, and storing the names and the coordinate values of all the hard points and the distance between two adjacent coordinates in a first form of the EXCEL file; and placing hard point coordinate names in a first column of a second form of the EXCEL file, wherein the second column is linked to corresponding coordinate values in the first form, and the third column is linked to the distance between two corresponding coordinates in the first form, and the EXCEL file is the modifiable hard point table.
Further, in the fifth step, the method for obtaining the value of the key value pair is as follows:
generating a value in the first key value pair according to a storage path of the civil engineering experiment data and data content of each line of data in a plurality of lines 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 cloud computing technology, to which the civil engineering experiment detection method based on cloud computing technology is applied, wherein the civil engineering experiment detection system based on cloud computing technology includes:
the system comprises an engineering experiment monitoring module, a cloud computing processing module, an experimental data importing module, a central control module, an experimental model building module, an engineering simulation module, an experimental result judging module, an engineering quality evaluating module, an experimental report generating module, an abnormal early warning module, an experimental construction 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 importing module and is used for monitoring civil engineering experiments 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 experimental data by utilizing a cloud computing model through a cloud server;
the experimental data importing module is connected with the engineering experiment monitoring module and the central control module and is used for importing the civil engineering experimental data subjected to cloud computing processing to the main control computer through a data importing program;
the central control module is connected with the engineering experiment monitoring module, the cloud computing processing module, the experimental data importing module, the experimental model constructing module, the engineering simulation module, the experimental result judging module, the engineering quality evaluating module, the experimental report generating module, the abnormal early warning module, the experimental construction period reminding module, the data storage module, the terminal module and the display module and used for controlling the normal work of each module through the main control computer;
the experimental model building module is connected with the central control module and used for building a civil engineering experimental model through a modeling program;
the engineering simulation module is connected with the central control module and is used for carrying out experimental simulation on the civil engineering structure by utilizing the civil engineering experimental model through an engineering simulation program and generating experimental simulation data;
the experimental result judging module is connected with the central control module and used for comparing the acquired civil engineering experimental data with experimental simulation data through an experimental result judging program to generate experimental comparison data;
the engineering quality evaluation module is connected with the central control module and is used for evaluating the civil engineering quality according to the experimental ratio by the quality evaluation program and generating an evaluation result;
the experiment report generation module is connected with the central control module and is used for generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generation program;
the abnormal early warning module is connected with the central control module and is used for carrying out early warning on abnormal data information of civil engineering experiments through the acousto-optic early warning device;
the experimental construction period reminding module is connected with the central control module and used for reminding the experimental construction period by setting the start-stop time of construction period reminding through construction period reminding equipment;
the data storage module is connected with the central control module and used for storing real-time data of collected civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through the cloud server;
the terminal module is connected with the central control module and is used for sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding construction periods, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server and performing remote control of experiments;
and the display module is connected with the central control module and used for displaying real-time data of civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through a display.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program, for providing a user input interface for implementing the civil engineering experiment detection method based on cloud computing technology when 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 perform the civil engineering experiment detection method based on cloud computing technology.
The invention has the advantages and positive effects that: the invention can rapidly, accurately and timely obtain the health state of the civil engineering structure through the engineering structure monitoring module, and output alarm information by comparing the damage value with the threshold value data, thereby having strong timeliness; meanwhile, the engineering model construction 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 engineering quantity model construction efficiency is improved.
The invention respectively carries out mapping processing on the acquired civil engineering experimental data and experimental simulation data through an experimental result judging module to obtain a first key value pair of a plurality of lines of data in the civil engineering experimental data and a second key value pair of a plurality of lines of data in the experimental 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; combining the ordered first key value pairs with the ordered second key value pairs to obtain a combined result; judging whether the value values of the key value pairs in the merging result are the same or not, obtaining a judging result, and comparing the first data to be compared with the second data according to the judging 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 flowchart of a civil engineering experiment detection method based on a cloud computing technology provided by an embodiment of the invention.
Fig. 2 is a structural block diagram of a civil engineering experiment detection system based on a cloud computing technology provided by an embodiment of the invention;
in the figure: 1. engineering experiment monitoring module; 2. the cloud computing processing module; 3. an experimental data importing module; 4. a central control module; 5. the experimental model building module; 6. an engineering simulation module; 7. an experimental result judging module; 8. the engineering quality evaluation module; 9. an experiment report generating module; 10. an abnormality 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
For a further understanding of the invention, its features and advantages, reference is now made to the following examples, which are illustrated in the accompanying drawings.
The structure of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the civil engineering experiment detection method based on the cloud computing technology provided by the embodiment of the invention comprises 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 experimental data by using a cloud computing model through a cloud server.
S102, importing the civil engineering experimental data subjected to cloud computing processing to a main control computer through a data importing program; and the main control computer controls the normal operation of the civil engineering experiment detection system.
S103, constructing a civil engineering experimental model through a modeling program; and carrying out experimental simulation on the civil engineering structure by using the civil engineering experimental model through an engineering simulation program, and generating experimental simulation data.
S104, comparing the acquired civil engineering experimental data with experimental simulation data through an experimental result judging program to generate experimental comparison data; and evaluating the civil engineering quality according to the experimental ratio data by a quality evaluation program, and generating an evaluation result.
S105, generating an experiment report according to an evaluation result of the civil engineering experiment through an experiment report generation program; carrying out early warning on abnormal data information of civil engineering experiments through an acousto-optic early warning device; setting start-stop time of construction period reminding through construction period reminding equipment, and reminding experimental construction period.
And S106, storing the collected real-time data of the civil engineering experimental data information, the experimental model, the experimental simulation data, the reminding construction period, the quality evaluation result, the experimental report and the early warning information through the cloud server.
And S107, real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding construction period, quality evaluation results, experiment reports and early warning information are sent to the mobile terminal through the cloud server, and remote control of experiments is performed.
And S108, displaying real-time data of civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through a display.
As shown in fig. 2, the civil engineering experiment detection system based on the cloud computing technology provided by the embodiment of the 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 abnormality early warning module 10, an experiment construction 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 importing module 3 and is used for monitoring civil engineering experiments 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 experimental data by utilizing a cloud computing model through a cloud server;
the experimental data importing module 3 is connected with the engineering experiment monitoring module 1 and the central control module 4 and is used for importing the civil engineering experimental data after cloud computing processing to the main control computer through a data importing program;
the central control module 4 is connected with the engineering experiment monitoring module 1, the cloud computing processing module 2, the experimental data importing module 3, the experimental model constructing module 5, the engineering simulation module 6, the experimental result judging module 7, the engineering quality evaluating module 8, the experimental report generating module 9, the abnormal early warning module 10, the experimental construction period reminding module 11, the data storage module 12, the terminal module 13 and the display module 14 and is used for controlling the normal work of each module through the main control computer;
the experimental model construction module 5 is connected with the central control module 4 and is used for constructing a civil engineering experimental model through a modeling program;
the engineering simulation module 6 is connected with the central control module 4 and is 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 experimental result judging module 7 is connected with the central control module 4 and is used for comparing the acquired civil engineering experimental data with experimental simulation data through an experimental result judging program to generate experimental comparison data;
the engineering quality evaluation module 8 is connected with the central control module 4 and is used for evaluating the civil engineering quality according to the experimental ratio by a quality evaluation program and generating an evaluation result;
the experiment report generation module 9 is connected with the central control module 4 and is 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 10 is connected with the central control module 4 and is used for carrying out early warning on abnormal data information of civil engineering experiments through an acousto-optic early warning device;
the experiment construction period reminding module 11 is connected with the central control module 4 and is used for reminding an experiment construction period by setting the start-stop time of construction period reminding through construction period reminding equipment;
the data storage module 12 is connected with the central control module 4 and is used for storing real-time data of collected civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through a cloud server;
the terminal module 13 is connected with the central control module 4 and is used for sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding construction period, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server and performing remote control of experiments;
and the display module 14 is connected with the central control module 4 and is used for displaying real-time data of civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through a display.
The invention is further described below in connection with specific embodiments.
Example 1
The method for detecting the civil engineering experiment based on the cloud computing technology provided by the embodiment of the invention is shown in fig. 1, and as a preferred embodiment, the method for monitoring the civil engineering experiment through the monitoring equipment and obtaining the engineering experiment data information provided by the embodiment of the invention is as follows:
(1) A database for storing material characteristic parameters of the civil engineering structure is established by means of a data processing program.
(2) Stress data is sampled at a plurality of time points of the structural member monitoring site.
(3) And processing the stress data of the time points to calculate equivalent stress values corresponding to the time points.
(4) And calculating damage values corresponding to the time points according to the equivalent stress values of the 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 the preset threshold.
The processing of the stress data at the multiple time points in the step (3) provided by the embodiment of the present invention calculates equivalent stress values corresponding to the multiple time points, and specifically includes:
setting a damage value calculation model;
setting initial values of all parameters in the damage value calculation model;
outputting a calculation result;
the processing the stress data of the time points, and after calculating equivalent stress values corresponding to the time points, further includes: drawing and displaying an equivalent stress time curve;
after calculating the damage values corresponding to the time points according to the equivalent stress values of the time points, the method further comprises the following steps: and drawing and displaying a 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 exceeding 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;
performing start-stop control on the analysis process;
the initial conditions of the setting analysis 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
The civil engineering experiment detection method based on the cloud computing technology provided by the embodiment of the invention is shown in fig. 1, and as a preferred embodiment, the method for constructing the civil engineering experiment model through the modeling program provided by the embodiment of the invention is as follows:
1) Acquiring or constructing a BIM initial model through a modeling program; and obtaining a hard point file of the BIM initial model, wherein the hard point file at least comprises the position information of each hard point of the BIM initial model.
2) And reading the coordinate values of all hard points in the hard point file to form a modifiable hard point table.
3) And carrying out parameterization on the BIM initial model, establishing association between the BIM initial model and a hard point table, and releasing the associated hard points in the BIM initial model.
4) And inserting a virtual parameter actuator into the built BIM initial model, wherein the virtual parameter actuator is used for driving parameter changes, and changing the hard point table within a specified range after establishing a relation with each parameter in the BIM initial model.
5) And the BIM initial model automatically changes according to the obtained hard point table, and outputs a BIM engineering quantity model.
According to the virtual parameter actuator provided by the embodiment of the invention, the simulation analysis module is driven to calculate and solve different parameters, so that the corresponding hard point table is output.
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 built through the following steps: reading coordinate values of all hard points in the hard point file by using Matlab, importing the coordinate values into an EXCEL file, and storing the names and the coordinate values of all the hard points and the distance between two adjacent coordinates in a first form of the EXCEL file; and placing hard point coordinate names in a first column of a second form of the EXCEL file, wherein the second column is linked to corresponding coordinate values in the first form, and the third column is linked to the distance between two corresponding coordinates in the first form, and the EXCEL file is the modifiable hard point table.
Example 3
The method for detecting civil engineering experiment based on cloud computing technology provided by the embodiment of the invention is shown in fig. 1, and as a preferred embodiment, the method for comparing civil engineering experiment data with experiment simulation data and generating experiment comparison data through an experiment result judging program provided by the embodiment of the invention is as follows:
(I) And mapping the acquired civil engineering experimental data and experimental simulation data respectively to obtain a first key value pair of the multi-line data in the civil engineering experimental data and a second key value pair of the multi-line data in the experimental simulation data.
(II) sorting the first and second key-value pairs, respectively, to obtain sorted first and second key-value pairs; and merging the ordered first key value pair and the ordered second key value pair to obtain a merging result.
And (III) judging whether the value of the key value pair in the merging result is the same, obtaining a judging result, and comparing the first data to be compared with the second data according to the judging 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 a storage path of the civil engineering experiment data and data content of each line of data in a plurality of lines 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, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When used in whole or in part, is implemented in the form of a computer program product comprising one or more computer instructions. When loaded or executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more 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)), etc.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the invention in any way, but any simple modification, equivalent variation and modification of the above embodiments according to the technical principles of the present invention are within the scope of the technical solutions of the present invention.
Claims (9)
1. The civil engineering experiment detection method based on the cloud computing technology is characterized by comprising the following steps of:
step one, monitoring civil engineering experiments through monitoring equipment, and acquiring engineering experiment data information: (1) Establishing a database for storing material characteristic parameters of the civil engineering structure through a data processing program;
(2) Sampling and obtaining stress data of a plurality of time points of a monitoring part of the structural member;
(3) Processing the stress data of the time points, and calculating equivalent stress values corresponding to the time points;
(4) Calculating damage values corresponding to the time points according to the equivalent stress values of the time points;
(5) Analyzing an equivalent stress value and a 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;
step two, cloud computing processing is carried out on the civil engineering experimental data obtained in the step one by utilizing a cloud computing model through a cloud server; importing the civil engineering experimental data subjected to cloud computing processing to a main control computer through a data importing program;
step three, constructing a civil engineering experimental model by controlling a modeling program through a main control computer: 1) Acquiring or constructing a BIM initial model through a modeling program; obtaining a hard point file of a BIM initial model, wherein the hard point file at least comprises the position information of each hard point of the BIM initial model;
2) Reading the coordinate values of all hard points in the hard point file to form a modifiable hard point table;
3) Carrying out parameterization treatment 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 built BIM initial model, wherein the virtual parameter actuator is used for driving parameter changes, and changing the hard point table in a specified range after establishing a relation with each parameter in the BIM initial model;
5) The BIM initial model automatically 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 experimental data obtained in the step one with the experimental simulation data obtained in the step four through an experimental result judging program to generate experimental comparison data: (I) Mapping the acquired civil engineering experimental data and experimental simulation data respectively to obtain first key value pairs of multiple lines of data in the civil engineering experimental data and second key value pairs of multiple lines of data in the experimental simulation data;
(II) sorting the first and second key-value pairs, respectively, to obtain sorted first and second key-value pairs; combining the ordered first key value pairs with the ordered second key value pairs to obtain a combined result;
(III) judging whether the value values of the key value pairs in the combined result are the same, obtaining a judging result, and comparing the first key value and the second key value to be compared according to the judging result;
step six, evaluating the civil engineering quality according to the experimental ratio data obtained in the step five by 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 generation program.
2. The method for detecting civil engineering experiments based on cloud computing technology as claimed in claim 1, wherein after the sixth step, further: step 1, carrying out early warning on abnormal data information of a civil engineering experiment through an acousto-optic early warning device;
step 2, setting start-stop time of construction period reminding through construction period reminding equipment, and reminding experimental construction period;
step 3, storing collected civil engineering experimental data information, experimental models, experimental simulation data, reminding construction periods, quality evaluation results, experimental reports and real-time data of early warning information through a cloud server;
step 4, real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding construction periods, quality evaluation results, experiment reports and early warning information are sent to a mobile terminal through a cloud server, and remote control of experiments is carried out;
and 5, displaying real-time data of civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through a display.
3. The method for detecting civil engineering experiments based on cloud computing technology as claimed in claim 1, wherein in the first step, the stress data of the plurality of time points in the step (3) is processed to calculate equivalent stress values corresponding to the plurality of time points, and the method specifically comprises:
setting a damage value calculation model;
setting initial values of all parameters in the damage value calculation model;
outputting a calculation result;
the processing the stress data of the time points, and after calculating equivalent stress values corresponding to the time points, further includes:
drawing and displaying an equivalent stress time curve;
after calculating the damage values corresponding to the time points according to the equivalent stress values of the time points, the method further comprises the following steps: and drawing and displaying a damage value time course curve.
4. The method for detecting civil engineering experiments based on cloud computing technology as claimed in claim 1, wherein in the first step, the analysis of 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) specifically includes the steps of:
setting initial conditions of analysis;
setting mechanical parameters of the structural member;
setting an alarm threshold value of equivalent stress;
performing start-stop control on the analysis process;
the initial conditions of the setting analysis 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 set forth in claim 1, wherein in the third step, the virtual parameter actuator calculates and solves for different parameters by driving a simulation analysis module, so as to output a corresponding hard point table; 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 set forth in claim 1, wherein in the third step, the hard spot table is established by:
reading coordinate values of all hard points in the hard point file by using Matlab, importing the coordinate values into an EXCEL file, and storing the names and the coordinate values of all the hard points and the distance between two adjacent coordinates in a first form of the EXCEL file; and placing hard point coordinate names in a first column of a second form of the EXCEL file, wherein the second column is linked to corresponding coordinate values in the first form, and the third column is linked to the distance between 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 set forth in claim 1, wherein in the fifth step, the value of the key value pair is obtained as follows:
generating a value in the first key value pair according to a storage path of the civil engineering experiment data and data content of each line of data in a plurality of lines 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 cloud computing technology-based civil engineering experiment detection system to which the cloud computing technology-based civil engineering experiment detection method according to any one of claims 1 to 7 is applied, characterized in that the cloud computing technology-based civil engineering experiment detection system includes:
the engineering experiment monitoring module is connected with the experiment data importing module and is used for monitoring civil engineering experiments 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 experimental data by utilizing a cloud computing model through a cloud server;
the experimental data importing module is connected with the engineering experiment monitoring module and the central control module and is used for importing the civil engineering experimental data subjected to cloud computing processing to the main control computer through a data importing program;
the central control module is connected with the engineering experiment monitoring module, the cloud computing processing module, the experimental data importing module, the experimental model constructing module, the engineering simulation module, the experimental result judging module, the engineering quality evaluating module, the experimental report generating module, the abnormal early warning module, the experimental construction period reminding module, the data storage module, the terminal module and the display module and used for controlling the normal work of each module through the main control computer;
the experimental model building module is connected with the central control module and used for building a civil engineering experimental model through a modeling program;
the engineering simulation module is connected with the central control module and is used for carrying out experimental simulation on the civil engineering structure by utilizing the civil engineering experimental model through an engineering simulation program and generating experimental simulation data;
the experimental result judging module is connected with the central control module and used for comparing the acquired civil engineering experimental data with experimental simulation data through an experimental result judging program to generate experimental comparison data;
the engineering quality evaluation module is connected with the central control module and is used for evaluating the civil engineering quality according to the experimental ratio by the quality evaluation program and generating an evaluation result;
the experiment report generation module is connected with the central control module and is used for generating an experiment report according to the evaluation result of the civil engineering experiment through an experiment report generation program;
the abnormal early warning module is connected with the central control module and is used for carrying out early warning on abnormal data information of civil engineering experiments through the acousto-optic early warning device;
the experimental construction period reminding module is connected with the central control module and used for reminding the experimental construction period by setting the start-stop time of construction period reminding through construction period reminding equipment;
the data storage module is connected with the central control module and used for storing real-time data of collected civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through the cloud server;
the terminal module is connected with the central control module and is used for sending real-time data of civil engineering experiment data information, experiment models, experiment simulation data, reminding construction periods, quality evaluation results, experiment reports and early warning information to the mobile terminal through the cloud server and performing remote control of experiments;
and the display module is connected with the central control module and used for displaying real-time data of civil engineering experimental data information, experimental models, experimental simulation data, reminding construction period, quality evaluation results, experimental report forms and early warning information through a display.
9. A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the civil engineering test method based on the cloud computing technology as claimed in any one of claims 1 to 7.
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