CN113326559A - Municipal bridge engineering construction supervision method and system - Google Patents
Municipal bridge engineering construction supervision method and system Download PDFInfo
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Abstract
The invention discloses a municipal bridge engineering construction supervision method and a system thereof, wherein the method comprises the following steps: the data acquisition module is used for acquiring various construction data of the bridge in construction; the stress analysis and preview module is used for generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the construction specification judging module is used for calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information. And generating a prediction model according to the obtained model, seeing the bridge pattern constructed according to a preset mode from the model, and carrying out stress analysis and judgment on the prediction model by a construction specification judgment module so as to judge whether the current prediction model accords with a preset design scheme or not and whether construction errors can exist or not according to the continuous construction of the prediction model, so that the problems existing in the construction process can be known in time, and the loss is reduced.
Description
Technical Field
The application relates to the field of municipal bridge construction, in particular to a municipal bridge engineering construction supervision method and a municipal bridge engineering construction supervision system.
Background
The bridge construction supervision refers to detecting the constructed bridge to judge whether the bridge constructed by the construction side meets the construction specification requirements. The existing supervision mode is generally that after the bridge construction is finished, all parts of the constructed bridge are judged to meet the requirements or not through a field detection mode. However, the method of comparing the data obtained by the detection with the originally designed data after the on-site detection is performed has a great inconvenience and room for improvement.
Disclosure of Invention
In order to reduce the quantity of projects inspected after the bridge is formed and remedy the deviated part in the constructed bridge in time, the application provides a municipal bridge engineering construction supervision method and a system thereof.
In a first aspect, the application provides a municipal bridge engineering construction supervision system, which adopts the following technical scheme:
a municipal bridge engineering construction supervision system, comprising:
the data acquisition module is used for acquiring various construction data of the bridge in construction;
the stress analysis and preview module is used for generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed;
the construction specification judging module is used for calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
By adopting the technical scheme, the data acquisition module acquires the data of the currently constructed bridge part, the data comprises construction material information and data of all aspects of the constructed bridge, the stress analysis prediction model generates the prediction model according to the acquired model, the prediction model is a simulation model formed on the basis of the constructed bridge, the bridge pattern constructed according to the preset mode can be seen from the model, the construction specification judgment module carries out stress analysis judgment on the prediction model so as to judge whether the current prediction model accords with the preset design scheme and whether construction errors can exist according to the continuous construction of the prediction model, the problems existing in the construction process can be known in time, the existing problems can be remedied, and the loss is reduced.
Optionally, the system further comprises a data comparison module, wherein the data comparison module is used for performing consistency comparison on the acquired original preset construction data and various construction data in construction to acquire inconsistent data and display the inconsistent data; and the data comparison module is used for reporting errors of the inconsistent data.
By adopting the technical scheme, the data comparison module compares the sum data in the prediction model with the data in the original bridge design scheme to obtain the difference, and corrects the error reason according to the place where the difference of the comparison data is analyzed.
Optionally, the system further comprises a parameter modification module, wherein the parameter modification module is used for acquiring inconsistent data information and generating a modification window; and the stress analysis and preview module regenerates the prediction model according to the modified parameters.
By adopting the technical scheme, the parameter modification module is arranged for modifying the parameters in the model so as to regenerate the model according to the new parameters, and whether the design scheme is met or not is judged again according to the newly generated model, so that the solution is conveniently found out.
Optionally, the system further comprises a terminal confirmation module, wherein the terminal confirmation module generates modification scheme confirmation information after receiving the modification data of the parameter modification module, and displays the modification scheme confirmation information for the terminal to select; and after the terminal confirmation module acquires the selection information of the terminal, the parameter modification module sends the modified parameters to the stress analysis rehearsal module.
By adopting the technical scheme, after the modification scheme is input, the modified scheme is sent to the terminal confirmation module for confirmation, so that the safety of data modification is improved, and meanwhile, the accuracy of control data can be further improved.
Optionally, the stress analysis preview module includes a prediction model training submodule and a forming submodule, and the prediction model training submodule is used for acquiring image information of bridge construction and training a plurality of image information to acquire prediction model data; and the forming submodule generates a prediction model according to preset model data.
By adopting the technical scheme, the accuracy of the generated model is improved by training the model in advance, and the forming submodule searches for the closest model in the preset data so as to analyze and judge the model subsequently.
Optionally, the construction specification judging module includes a display sub-module for positioning and displaying the position where the data is inconsistent after the error reporting reason is obtained.
By adopting the technical scheme, the display submodule positions the place with the wrong data so as to facilitate the user to position the place with the wrong data and to process in time.
In a second aspect, the application provides a municipal bridge engineering construction supervision method, which adopts the following technical scheme:
a municipal bridge engineering construction supervision method comprises the following steps:
s100: acquiring various construction data of a bridge in construction;
s200: generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed;
s300: calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
By adopting the technical scheme, the data of the part of the currently constructed bridge is obtained, the data of the part comprises construction material information and data of all aspects of the constructed bridge, a prediction model is generated according to the obtained model, the prediction model is a simulation model formed on the basis of the constructed bridge, the bridge pattern constructed according to a preset mode can be seen from the model, and the construction specification judgment module carries out stress analysis and judgment on the prediction model so as to judge whether the current prediction model accords with a preset design scheme or not and judge whether construction errors can exist or not according to the prediction model in the continuous construction process, so that the problems existing in the construction process can be known in time, and the loss is reduced.
Optionally, the system further comprises a data comparison module, wherein the data comparison module is used for performing consistency comparison on the acquired original preset construction data and various construction data in construction to acquire inconsistent data and display the inconsistent data; and the data comparison module is used for reporting errors of the inconsistent data.
By adopting the technical scheme, the sum data in the prediction model is compared with the data in the original bridge design scheme to obtain the difference, and the error reason is corrected according to the place where the difference of the compared data is analyzed.
In a third aspect, the present application provides a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the municipal bridge engineering construction supervision method according to any one of the second aspect when executing the computer program.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and executing the second aspect.
The application has the following beneficial effects:
1. acquiring partial data of a currently constructed bridge, wherein the partial data comprises construction material information and data of each aspect of the constructed bridge, generating a prediction model according to the acquired model, the prediction model is a simulation model formed on the basis of the constructed bridge, the model can show a bridge pattern constructed in a preset mode, and a construction specification judgment module performs stress analysis and judgment on the prediction model to judge whether the current prediction model meets a preset design scheme or not and judge whether construction errors exist or not according to the continuous construction of the prediction model, so that problems existing in the construction process can be known in time, and loss is reduced;
2. the accuracy of the generated model is improved by pre-training the model, and the forming submodule searches for the closest model in the preset data so as to analyze and judge the model subsequently.
3. And setting a parameter modification module for modifying parameters in the model so as to regenerate the model according to the new parameters, and judging whether the design scheme is met again according to the newly generated model, so that the solution is conveniently found out.
Drawings
FIG. 1 is a schematic diagram of a municipal bridge construction supervision system according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for supervising municipal bridge engineering construction according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to FIGS. 1-3
The embodiment of the application discloses municipal bridge engineering construction supervision system, refer to fig. 1, and the system comprises a data acquisition module, a stress analysis preview module and a construction specification judgment module.
And the data acquisition module is used for acquiring various construction data of the bridge in construction.
In this embodiment, each item of construction data refers to data of each aspect of a bridge with a completed construction part, and includes construction material usage, stress data of each stress point detected by a detection instrument, and the like, and the acquired data is stored in the system by means of recording, direct signal transmission or wired transmission.
The stress analysis and preview module is used for generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed.
In this embodiment, the prediction model refers to a three-dimensional model of a bridge part to be constructed; the stress data refers to data obtained by stress analysis of each part of the bridge in the prediction model.
Specifically, a three-dimensional model of a constructed bridge is generated based on data acquired by a data acquisition module, then a three-dimensional prediction model of the bridge to be constructed is generated based on an original three-dimensional model in a prediction model mode, the three-dimensional model is put into stress analysis software, SOLIDworks software is adopted in the embodiment, and then stress analysis is performed on the three-dimensional model by using a finite element analysis module in the SOLIDworks software, so that stress data of each part in the prediction model can be obtained.
Further, in one embodiment, the force analysis rehearsal module includes a prediction model training sub-module and a shaping sub-module. The prediction model training submodule is used for acquiring image information constructed by the bridge and training a plurality of image information to acquire prediction model data.
In this embodiment, the image information refers to a three-dimensional model established according to a preset design scheme or data obtained by model training from image information acquired from an original related case, and is trained in the present embodiment in a neural network manner.
And the forming submodule generates a prediction model according to preset model data.
Specifically, the prediction model training sub-module trains the acquired image information by dividing the acquired image (if the acquired image is insufficient, some new images can be generated by data enhancement authorization, such as shifting several pixels, zooming an image, etc., and overfitting the image generated at a later stage can be avoided) into a training set and a testing set, in this embodiment, the ratio of the training set to the test set is 8:2, training is performed on the training set, an error is calculated on the trained model on the test set, the accuracy is within the error range, which indicates that training is successful, after the forming submodule acquires the relevant data information of the constructed bridge and the trained image data, and generating a bridge model connected with the constructed bridge model on the basis of the constructed bridge model to obtain the model of the bridge.
Furthermore, the bridge is divided into sections, the bridge is divided into a plurality of sections with preset lengths, and the forming submodule establishes a prediction model according to a mode of generating one section each time when modeling, so that the workload of the system for calculating each time is reduced, and meanwhile, the construction scheme can be timely adjusted according to the actual condition.
The construction specification judging module is used for calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
Specifically, after stress information of each part of the bridge to be constructed is acquired, the stress information is compared with standard stress information to judge whether the acquired stress data is within a specified error range, namely whether the acquired stress data meets the requirements of construction specifications, and if one data exceeds a specified value, error reporting information is generated. For example, the preset angle of the included angle between the traction rope and the bridge deck is 45 degrees, but the detection result in the generated model is 50 degrees, and the deviation of the angle teaches the preset error range, so that error reporting information is generated.
Furthermore, the part with errors is subjected to reason checking to obtain the reason for the errors of the data.
For example, when a model is built, data which are influenced are correlated, for example, the length of the traction cable is correlated with factors such as the gradient of a bridge deck and the length of the traction cable, and when the fact that the gradient angle of the traction cable in the model to be constructed is inconsistent with a preset gradient angle is detected, the data correlated with the gradient angle of the traction cable are correlated and checked, so that the reason for error formation can be acquired in the fastest time.
Furthermore, the system also comprises a data comparison module, wherein the data comparison module is used for comparing the acquired original preset construction data with various construction data in construction to acquire inconsistent data and display the inconsistent data; and the data comparison module analyzes according to the inconsistent data to obtain the error reporting reason.
Specifically, the data comparison module compares each item of data of the prediction model with design preset data to judge whether the data are consistent, if the data are inconsistent, whether the data are within an error range is further judged, if the data are not within the error range, the data with errors are fed back to form error reporting information, and meanwhile, the position corresponding to the data with errors is positioned and displayed so that a user can check the error reporting information.
Furthermore, the system also comprises a parameter modification module, wherein the parameter modification module is used for acquiring the inconsistent data information and generating a modification window; and the stress analysis and preview module regenerates the prediction model according to the modified parameters.
Specifically, after the data comparison module compares that the data in the prediction model are inconsistent, the display submodule positions the place where the data are wrong so as to obtain the position of the data which is wrong, the parameter which is wrong is displayed on a system interface, the parameter modification module generates a parameter modification window at the position where the data are wrong, and then the parameter which is wrong is modified. For example, the error is reported on the bridge deck inclination data of the three-dimensional model of the bridge section to be constructed, the data comparison shows that the bridge deck inclination of the bridge at the constructed section is smaller than that during design, the system generates a parameter modification window at the bridge deck inclination position of the bridge section to be constructed so as to input correct parameters, the system regenerates the model according to the modified parameters, and then the system calculates and analyzes whether the new model data is correct. Through the preview model, whether the bridge constructed by the preview model meets the standard or not can be judged in advance before continuing construction, so that the bridge can be adjusted in time when an error occurs.
The system further comprises a terminal confirmation module, wherein the terminal confirmation module generates modification scheme confirmation information after receiving the modification data of the parameter modification module and displays the modification scheme confirmation information for the terminal to select; and after the terminal confirmation module acquires the selection information of the terminal, the parameter modification module sends the modified parameters to the stress analysis rehearsal module.
In this embodiment, the modification confirmation information refers to confirmation information that needs a user to confirm by inputting confirmation.
The embodiment of the application also discloses a municipal bridge engineering construction supervision method. Referring to fig. 2, the method includes the steps of:
s100: acquiring various construction data of a bridge in construction;
s200: generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed;
s300: calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
Further, S300 includes S301: comparing the obtained original preset construction data with various construction data in construction to obtain inconsistent data and displaying the inconsistent data; and the data comparison module analyzes according to the inconsistent data to obtain the error reporting reason.
Further, step S301 further includes: acquiring inconsistent data information and generating a modification window; and the stress analysis and preview module regenerates the prediction model according to the modified parameters.
Further, generating modification scheme confirmation information after receiving modification data of the parameter modification module, and displaying the modification scheme confirmation information for the terminal to select; and after the terminal confirmation module acquires the selection information of the terminal, the parameter modification module sends the modified parameters to the stress analysis rehearsal module.
Specifically, after the parameter modification module obtains the input modification parameters, the modification information is sent to a terminal confirmation module for confirmation, the terminal clicks the confirmation information through a mouse (in other embodiments, the confirmation may be performed by directly clicking a screen with a finger, confirming with a voice, and the like), and feeds the confirmation information back to the stress analysis rehearsal module, and the stress analysis rehearsal module regenerates the prediction model after receiving the parameter modification confirmation information sent by the terminal confirmation module.
The embodiment of the application also discloses a computer device, which can be a server, with reference to fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store historical suspicious behavior data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a municipal bridge engineering construction supervision method, which comprises the following steps:
s100: acquiring various construction data of a bridge in construction;
s200: generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed;
s300: calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
The embodiment of the application also discloses a computer readable storage medium. In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
s100: acquiring various construction data of a bridge in construction;
s200: generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed;
s300: calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. The utility model provides a municipal bridge engineering construction supervision system which characterized in that: the method comprises the following steps:
the data acquisition module is used for acquiring various construction data of the bridge in construction;
the stress analysis and preview module is used for generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed;
the construction specification judging module is used for calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
2. The municipal bridge engineering construction supervision system according to claim 1, wherein: the data comparison module is used for carrying out consistency comparison on the obtained original preset construction data and various construction data in construction so as to obtain inconsistent data and display the inconsistent data; and the data comparison module is used for reporting errors of the inconsistent data.
3. The municipal bridge engineering construction supervision system according to claim 2, wherein: the parameter modification module is used for acquiring inconsistent data information and generating a modification window; and the stress analysis and preview module regenerates the prediction model according to the modified parameters.
4. The municipal bridge engineering construction supervision system according to claim 3, wherein: the terminal confirmation module generates modification scheme confirmation information after receiving the modification data of the parameter modification module and displays the modification scheme confirmation information for the terminal to select; and after the terminal confirmation module acquires the selection information of the terminal, the parameter modification module sends the modified parameters to the stress analysis rehearsal module.
5. The municipal bridge engineering construction supervision system according to claim 4, wherein: the stress analysis and preview module comprises a prediction model training submodule and a forming submodule, wherein the prediction model training submodule is used for acquiring image information of bridge construction and training a plurality of image information to acquire prediction model data; and the forming submodule generates a prediction model according to preset model data.
6. The municipal bridge engineering construction supervision system according to claim 5, wherein: the construction specification judging module comprises a display submodule for positioning and displaying the position with inconsistent data after the error reporting reason is obtained.
7. A municipal bridge engineering construction supervision method is characterized by comprising the following steps: the method comprises the following steps:
s100: acquiring various construction data of a bridge in construction;
s200: generating a prediction model of the road section to be constructed according to the currently acquired data of the constructed road section; the prediction model comprises stress data of all parts of the bridge to be constructed;
s300: calculating whether the bridge constructed according to the construction scheme in the prediction model meets the construction requirements or not according to the stress data of each part of the bridge in the prediction model; and if the request is not met, generating error report information.
8. The municipal bridge engineering construction supervision method according to claim 7, wherein: comparing the obtained original preset construction data with various construction data in construction to obtain inconsistent data and displaying the inconsistent data; and the data comparison module analyzes according to the inconsistent data to obtain the error reporting reason.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: the processor, when executing the computer program, performs the steps of a method of municipal bridge engineering construction supervision according to any one of claims 7 to 8.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method according to any of claims 7-8.
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