CN111581697A - Bridge detection information management method and system based on BIM - Google Patents
Bridge detection information management method and system based on BIM Download PDFInfo
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Abstract
The invention discloses a bridge detection information management method and system based on BIM, which comprises a data acquisition module, a BIM model establishment module, a GIS optimization module, a data conversion module, a data selection module and a verification module, wherein firstly, a plurality of unmanned aerial vehicles, three-dimensional lasers and sensors are utilized to establish actual measurement data of a bridge to be detected, and after standardization and structuralization processing are carried out by combining data of each stage, a bridge BIM model is established based on the existing BIM platform; then, data supplement and optimization are carried out by utilizing a GIS technology, and finite element analysis is carried out on the optimized bridge BIM model; and converting the finite element analysis result into a gray-scale map, dividing the gray-scale value into 5 levels according to the 'technical condition evaluation standard of highway bridges', establishing a corresponding coordinate system, importing the finite element analysis result and corresponding data which are greater than an evaluation threshold value into a server, and simultaneously re-acquiring bridge data pairs of corresponding parts for verification to obtain a standard, visual and accurate detection report.
Description
Technical Field
The invention relates to the technical field of bridge monitoring, in particular to a bridge detection information management method and system based on BIM.
Background
The bridge structure has high manufacturing cost and long service cycle, and the coupling effect of adverse factors such as environmental corrosion, material aging, long-term effect of dynamic and static loads, fatigue effect, mutation effect and the like inevitably leads to structural damage accumulation and resistance attenuation in the service period of dozens or even hundreds of years, and even causes catastrophic accidents in extreme cases. The latest statistical data in the transportation industry shows that 77.92 ten thousand highway bridges exist in China, and the proportion of medium and small bridges is nearly 90%. After the large-scale bridge construction, the operation management of the bridge follows. The bridge detection aiming at ensuring the safety of the bridge in the service period comprises daily routine inspection, regular bearing capacity test and the like. Considering a large number of bridges to be detected and heavy detection tasks, the standardized and intelligent bridge detection information management and evaluation system is very important for scientifically and reasonably formulating a large-scale bridge detection, maintenance or reinforcement schedule and ensuring the safe operation of the bridge.
The traditional bridge detection information management method mainly takes manual inspection as a way, subjective judgment is taken as a basis, and a detection report is taken as a carrier, so that the existing bridge detection information management has many defects. The method mainly comprises the following steps: 1) information fragmentation, the information relevance of characters, tables and images in the same detection report is weak, and effective dynamic analysis is difficult to automatically form by multiple detection reports at different detection time points; 2) the record is not standard, most of the detection is recorded after subjective judgment by a detector, the detection is dependent on personal quality of the detector too much, and if the standard is not strictly unified, the recorded information is easy to be fuzzy, missing or seriously deviated; 3) the expression is not visual, and the real state is difficult to accurately reappear after information feedback by using detection information described by one-dimensional characters or two-dimensional images; 4) synchronous evaluation cannot be achieved, and after the multi-type detection information is simply recorded, a large amount of information is gathered and subjected to subsequent work of comprehensive analysis, and finally the obtained result is not standard, visual and accurate.
Disclosure of Invention
The invention aims to provide a bridge detection information management method and system based on BIM, which can obtain a standard, visual and accurate detection report.
In order to achieve the above object, in a first aspect, the present invention provides a bridge detection information management method based on BIM, including:
acquiring original bridge data, and establishing a bridge BIM model on a BIM platform;
optimizing the bridge BIM model according to GIS data and carrying out finite element analysis;
converting the finite element analysis result into a gray graph and establishing a corresponding coordinate system;
storing the finite element analysis result which is greater than the evaluation threshold value by combining the original data;
and re-acquiring the corresponding measured bridge data to verify the analysis result.
The method for acquiring the original data of the bridge and establishing the BIM model of the bridge on the BIM platform comprises the following steps:
the method comprises the steps of acquiring surface data of a bridge to be measured by utilizing a plurality of unmanned aerial vehicles, scanning the bridge to be measured by utilizing three-dimensional laser, obtaining a damage image of the bridge to be measured, and simultaneously combining stress data acquired by a sensor corresponding to each component to construct actual measurement data of the bridge to be measured.
After the measured data of the measured bridge is constructed, the method further comprises the following steps:
and combining the data of the concept scheme stage, the design stage, the construction stage, the completion stage and the operation and maintenance stage and the project component data, standardizing and structuring all the data, transmitting the data to a server for storage, and constructing the bridge BIM model of the measured bridge based on the existing BIM platform.
Optimizing the bridge BIM model according to GIS data and carrying out finite element analysis, wherein the optimization and the finite element analysis comprise the following steps:
and importing the acquired urban coordinate system of the measured bridge and the geographical profile within the set range of the measured bridge into the bridge BIM by utilizing a GIS technology, supplementing and optimizing data of the bridge BIM, and carrying out finite element analysis on the optimized bridge BIM.
Wherein, convert into the gray map according to the finite element analysis result, and set up the corresponding coordinate system, include:
and converting the finite element analysis result into a gray-scale map, dividing the gray-scale value of the gray-scale map into 5 grades according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, respectively corresponding to 5 grading standards in the bridge evaluation standard, and establishing a coordinate system by taking the gray-scale value as a vertical coordinate and the measured bridge data as a horizontal coordinate.
Wherein the storing the finite element analysis result larger than the evaluation threshold value in combination with the raw data comprises:
and acquiring an evaluation threshold, and uploading the finite element analysis result which is greater than the evaluation threshold and the corresponding original data of the bridge to be measured to a server for storage.
And the step of verifying the analysis result by reacquiring the corresponding measured bridge data comprises the following steps:
and according to the data stored by the server, the unmanned aerial vehicle and the three-dimensional laser are reused to obtain corresponding bridge part data, and the data is compared with the stored data for verification.
In a second aspect, the present invention provides a bridge inspection information management system based on BIM, which comprises a data acquisition module, a BIM model establishment module, a GIS optimization module, a data conversion module, a data selection module and a verification module, wherein the data acquisition module, the BIM model establishment module, the GIS optimization module, the data conversion module, the data selection module and the verification module are sequentially connected, the verification module is further connected with the data acquisition module,
the data acquisition module is used for acquiring the actual measurement data of the bridge to be measured and the bridge data of each stage, and combining the actual measurement data and the bridge data into original bridge data after preprocessing;
the BIM model establishing module is used for establishing a corresponding bridge BIM model on a BIM platform according to the original bridge data;
the GIS optimization module is used for guiding the acquired urban coordinate system of the measured bridge and the geographical general profile within the set range of the measured bridge into the bridge BIM by utilizing a GIS technology, supplementing and optimizing data of the bridge BIM, and carrying out finite element analysis on the optimized bridge BIM;
the data conversion module is used for converting the finite element analysis result into a gray-scale map, dividing the gray-scale value of the gray-scale map into 5 grades according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, respectively corresponding to 5 scoring standards in the bridge evaluation standard, and establishing a coordinate system by taking the gray-scale value as a vertical coordinate and the measured bridge data as a horizontal coordinate;
the data selection module is used for uploading the finite element analysis result which is greater than the evaluation threshold value and the corresponding original data of the bridge to be tested to a server for storage according to the obtained evaluation threshold value;
and the verification module is used for acquiring corresponding bridge part data by reusing the unmanned aerial vehicle and the three-dimensional laser according to the data stored by the server, and comparing and verifying the corresponding bridge part data with the stored data.
Wherein the data acquisition module comprises a measured data unit, a phase data unit and a preprocessing unit, the preprocessing unit is connected with the measured data unit and the phase data unit,
the measured data unit is used for acquiring surface data of a measured bridge by using a plurality of unmanned aerial vehicles, scanning the measured bridge by using three-dimensional laser to obtain a damage image of the measured bridge, and constructing measured data of the measured bridge by combining stress data acquired by a sensor corresponding to each component;
the phase data unit is used for obtaining bridge data by acquiring data of a concept scheme phase, a design phase, a construction phase, a completion phase and an operation and maintenance phase and project component data;
and the preprocessing unit is used for carrying out standardized and structured processing on the measured data and the bridge data.
Wherein the data conversion module comprises a gray scale image unit and a coordinate system establishing unit, the gray scale image unit is connected with the coordinate system establishing unit,
the gray-scale map unit is used for converting the finite element analysis result into a standard gray-scale map;
the coordinate system establishing unit is used for dividing the gray value of the gray map into 5 grades according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, the grades respectively correspond to 5 scoring standards in the bridge evaluation standard, the gray value is used as a vertical coordinate, and the measured bridge data is used as a horizontal coordinate to establish a coordinate system.
The invention relates to a BIM-based bridge detection information management method and a system, wherein the BIM-based bridge detection information management system comprises a data acquisition module, a BIM model establishment module, a GIS optimization module, a data conversion module, a data selection module and a verification module, firstly, a plurality of unmanned aerial vehicles are used for acquiring surface data of a bridge to be detected, meanwhile, three-dimensional laser is used for scanning the bridge to be detected, the damage image of the bridge to be detected is obtained, meanwhile, the measured data of the bridge to be detected is established by combining stress data acquired by a sensor corresponding to each part, and after standardization and structuralization processing are carried out by combining data of each stage and project component data, a bridge BIM model of the bridge to be detected is established based on the existing BIM platform; then, performing data supplement and optimization on the bridge BIM model by using a GIS technology, and performing finite element analysis on the optimized bridge BIM model; secondly, converting the finite element analysis result into a gray-scale map, dividing the gray-scale value of the gray-scale map into 5 levels according to a bridge evaluation standard in a highway bridge technical condition evaluation standard, establishing a corresponding coordinate system, importing the finite element analysis result and corresponding data which are larger than an evaluation threshold into a server, and simultaneously re-acquiring bridge data of corresponding parts to verify the data imported into the server, thereby obtaining a standard, visual and accurate detection report.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic step diagram of a bridge detection information management method based on BIM according to the present invention.
Fig. 2 is a schematic structural diagram of a bridge detection information management system based on BIM according to the present invention.
The system comprises a data acquisition module, a 2-BIM model building module, a 3-GIS optimization module, a 4-data conversion module, a 5-data selection module, a 6-verification module, an 11-measured data unit, a 12-phase data unit, a 13-preprocessing unit, a 41-gray level image unit and a 42-coordinate system building unit.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
Referring to fig. 1, the present invention provides a bridge inspection information management method based on BIM, which includes:
s101, acquiring original bridge data, and establishing a bridge BIM model on the BIM platform.
Specifically, firstly, scanning the outer surface of a bridge to be measured by utilizing a plurality of unmanned aerial vehicles from different heights and different planes to obtain surface data or surface photos of the bridge to be measured, simultaneously scanning the bridge to be measured by utilizing three-dimensional laser to obtain a three-dimensional damage image of the bridge to be measured, and simultaneously constructing the measured data of the bridge to be measured by combining stress data acquired by sensors corresponding to all components to obtain a group of relatively complete three-dimensional entity information of the bridge to be measured; then, all data of the measured bridge from the beginning of design to the application of the measured bridge and all project component data are combined, so that the measured bridge can be recorded for convenient later searching and management, and then all data are standardized and structured, wherein the standardized processing method can adopt any one of Min-max standardization (Min-max normalization), log function transformation, atan function transformation, z-score standardization (zero-mean normalization, which is most common) and fuzzy quantization methods which are commonly used at present, and then the standardized processing method is transmitted to a server for storage for convenient later searching and management, and a BIM model of the measured bridge is constructed through all data of the measured bridge stored in the server based on the existing BIM platform, the measured bridge can be observed and analyzed conveniently.
And S102, optimizing the bridge BIM model according to GIS data and carrying out finite element analysis.
Specifically, utilize GIS technique can acquire the peripheral geographic environment condition in the peripheral certain limit of bridge under test and the coordinate system in affiliated city, then will acquire the city coordinate system that is affiliated of bridge under test with the geographical general view that is in the bridge under test settlement range is leading-in the bridge BIM model, right the bridge BIM model carries out data supplement and optimization, can perfect in the bridge BIM module to this disappearance of peripheral environment data, make the detection to the bridge under test more perfect, and will optimize the bridge BIM model carry out finite element analysis, can with the bridge BIM model converts more audio-visual numerical information into, conveniently carries out audio-visual analysis to the data of bridge under test.
And S103, converting the finite element analysis result into a gray scale map, and establishing a corresponding coordinate system.
Specifically, because the finite element analysis result has more colors and the colors in the transition region are not easy to distinguish, the finite element analysis result is converted into a gray scale map, and meanwhile, according to the bridge evaluation standard in the highway bridge technical condition evaluation standard, the gray scale value of the gray scale map is divided into 5 levels, which respectively correspond to 5 scoring standards in the bridge evaluation standard, including: a first, new state; second, minor injury; third, moderate lesions; the fourth category, mainly constructing large lesions; in the fifth category, serious damage exists in main construction, the corresponding gray values are sequentially reduced from 255 to 0, wherein 0 is the most serious level; and then establishing a coordinate system by taking the gray value as a vertical coordinate and the measured bridge data as a horizontal coordinate, wherein the damage vertical coordinate value is from 255 to 0, the damage degree of the measured bridge can be visually displayed, the color cannot be confused, and a more visual and standard detection result of the measured bridge can be obtained by combining the gray value and a standard file of 'technical condition evaluation standards for road bridges'.
And S104, storing the finite element analysis result which is greater than the evaluation threshold value by combining the original data.
Specifically, an evaluation threshold is selected from the gray values according to an evaluation standard, the finite element analysis result larger than the evaluation threshold and the corresponding original data of the measured bridge are uploaded to a server for storage, and the damage level of the corresponding component can be visually seen by combining the finite element analysis result and the corresponding bridge data, so that the damage detection can be performed in a targeted manner.
And S105, re-acquiring the corresponding measured bridge data to verify the analysis result.
Specifically, according to the data which are stored by the server and do not meet the evaluation standard, a plurality of unmanned aerial vehicles are reused to scan the surface of the corresponding bridge, meanwhile, the damage data of the corresponding bridge part are obtained by using the three-dimensional laser, in order to ensure the accuracy of the verification result, the damage data can be collected for a plurality of times, the stress data of the corresponding part can be obtained by combining the sensor, then the stress data is compared with the stored data for verification, whether the stored data are detected correctly can be detected, and the accuracy of the detection result can be ensured.
Referring to fig. 2, the present invention provides a bridge inspection information management system based on BIM, which includes a data acquisition module 1, a BIM model establishment module 2, a GIS optimization module 3, a data conversion module 4, a data selection module 5 and a verification module 6, wherein the data acquisition module 1, the BIM model establishment module 2, the GIS optimization module 3, the data conversion module 4, the data selection module 5 and the verification module 6 are sequentially connected, the verification module 6 is further connected with the data acquisition module 1,
the data acquisition module 1 is used for acquiring the actual measurement data of the bridge to be measured and the bridge data of each stage, and combining the actual measurement data and the bridge data into original bridge data after preprocessing;
the BIM model establishing module 2 is used for establishing a corresponding bridge BIM model on a BIM platform according to the original bridge data;
the GIS optimization module 3 is used for importing the acquired urban coordinate system of the measured bridge and the geographical profile within the set range of the measured bridge into the bridge BIM by utilizing a GIS technology, supplementing and optimizing data of the bridge BIM, and carrying out finite element analysis on the optimized bridge BIM;
the data conversion module 4 is configured to convert the finite element analysis result into a gray scale map, divide the gray scale value of the gray scale map into 5 classes according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, respectively correspond to 5 scoring standards in the bridge evaluation standard, and establish a coordinate system by using the gray scale value as a vertical coordinate and the measured bridge data as a horizontal coordinate;
the data selection module 5 is configured to upload the finite element analysis result larger than the evaluation threshold and the corresponding original data of the measured bridge to a server for storage according to the obtained evaluation threshold;
and the verification module 6 is used for acquiring corresponding bridge component data by reusing the unmanned aerial vehicle and the three-dimensional laser according to the data stored by the server, and comparing and verifying the bridge component data with the stored data.
In this embodiment, the bridge detection information management system of BIM includes a data acquisition module 1, a BIM model establishment module 2, a GIS optimization module 3, a data conversion module 4, a data selection module 5 and a verification module 6, firstly, the data acquisition module 1 acquires the measured data of the measured bridge and the bridge data of each stage, and pre-processes them to combine them into original bridge data, then the original data is imported into the BIM model establishment module 2, based on the existing BIM platform, a corresponding bridge BIM model is established, then the GIS optimization module 3 is used to acquire the city to which the measured bridge belongs and the geographical general view of the measured bridge in a certain range, software is imported into the bridge BIM model to supplement and optimize the data, then the optimized bridge BIM model is subjected to finite element analysis, and the analysis result is imported into the data conversion module 4, the method comprises the steps of converting a finite element analysis result into a gray-scale map, dividing the gray-scale value of the gray-scale map into 5 levels according to a bridge evaluation standard in a highway bridge technical condition evaluation standard, respectively corresponding to 5 grading standards in the bridge evaluation standard, establishing a coordinate system by taking the gray-scale value as a vertical coordinate and the measured bridge data as a horizontal coordinate, selecting the finite element analysis result which does not meet the standard and the corresponding bridge original data according to a set evaluation threshold value through a data selection module 5, and comparing and verifying the data which does not meet the standard by combining with the corresponding bridge data re-acquired by a verification module 6, so that the standard, intuition and accuracy of a detection result are guaranteed.
Further, the data acquisition module 1 includes a measured data unit 11, a phase data unit 12 and a preprocessing unit 13, the preprocessing unit 13 is connected with the measured data unit 11 and the phase data unit,
the measured data unit 11 is configured to acquire surface data of a measured bridge by using multiple unmanned aerial vehicles, scan the measured bridge by using three-dimensional laser to obtain a damage image of the measured bridge, and construct measured data of the measured bridge by combining stress data acquired by a sensor corresponding to each component;
the phase data unit is used for obtaining bridge data by acquiring data of a concept scheme phase, a design phase, a construction phase, a completion phase and an operation and maintenance phase and project component data;
the preprocessing unit 13 is configured to perform normalization and structuring on the measured data and the bridge data.
In this embodiment, firstly, the measured data unit 11 is used to acquire surface data of a bridge to be measured by using a plurality of unmanned aerial vehicles, and simultaneously, the three-dimensional laser is used to scan the bridge to be measured, so as to acquire a three-dimensional damage image of the bridge to be measured, and simultaneously, the measured data of the bridge to be measured is constructed by combining stress data acquired by sensors corresponding to each component, and then, the acquired bridge data is all imported into the preprocessing unit 13 to be subjected to standardized and structured processing by combining data of a concept scheme stage, a design stage, a construction stage, a completion stage and an operation and maintenance stage acquired by the stage data unit, so as to ensure the integrity of the acquired data of the bridge to be measured, and the acquired data conforms to the standard, so that unified management can be performed.
Further, the data conversion module 4 comprises a gray-scale map unit 41 and a coordinate system establishing unit 42, the gray-scale map unit 41 is connected with the coordinate system establishing unit 42,
the grayscale map unit 41 is configured to convert the finite element analysis result into a standard grayscale map;
the coordinate system establishing unit 42 is configured to divide the gray scale value of the gray scale map into 5 classes according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, and respectively correspond to 5 scoring standards in the bridge evaluation standard, and establish a coordinate system by using the gray scale value as a vertical coordinate and the measured bridge data as a horizontal coordinate.
In this embodiment, the converting the finite element analysis result into a gray-scale map by the gray-scale map unit 41 avoids the original over-bright color from causing visual confusion of the inspector, and the dividing the gray-scale value of the gray-scale map into 5 levels according to the bridge evaluation criteria in the "highway bridge technical condition evaluation criteria" and respectively corresponding to the 5 scoring criteria in the bridge evaluation criteria includes: a first, new state; second, minor injury; third, moderate lesions; the fourth category, mainly constructing large lesions; in the fifth category, serious damage exists in main construction, the corresponding gray values are sequentially reduced from 255 to 0, wherein 0 is the most serious level; and establishing a coordinate system by taking the gray value as a vertical coordinate and the measured bridge data as a horizontal coordinate, so that the damage degree of the measured bridge can be visually displayed, the color can not be confused, and a more visual and standard detection result of the measured bridge can be obtained by combining the gray value and a standard file of 'technical condition evaluation standards for highway bridges'.
The invention relates to a BIM-based bridge detection information management method and a system, wherein the BIM-based bridge detection information management system comprises a data acquisition module 1, a BIM model establishment module 2, a GIS optimization module 3, a data conversion module 4, a data selection module 5 and a verification module 6, firstly, a plurality of unmanned aerial vehicles are used for acquiring surface data of a bridge to be detected, meanwhile, three-dimensional laser is used for scanning the bridge to be detected, the damage image of the bridge to be detected is obtained, meanwhile, the measured data of the bridge to be detected is established by combining stress data acquired by a sensor corresponding to each part, the bridge BIM model of the bridge to be detected is established by combining data of each stage and data of project components, and after standardization and structuralization processing are carried out on the data of each stage and the data of the project components, the bridge BIM model of the bridge to be detected is established on the; then, performing data supplement and optimization on the bridge BIM model by using a GIS technology, and performing finite element analysis on the optimized bridge BIM model; secondly, converting the finite element analysis result into a gray-scale map, dividing the gray-scale value of the gray-scale map into 5 levels according to a bridge evaluation standard in a highway bridge technical condition evaluation standard, establishing a corresponding coordinate system, importing the finite element analysis result and corresponding data which are larger than an evaluation threshold into a server, and simultaneously re-acquiring bridge data of corresponding parts to verify the data imported into the server, thereby obtaining a standard, visual and accurate detection report.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A bridge detection information management method based on BIM is characterized by comprising the following steps:
acquiring original bridge data, and establishing a bridge BIM model on a BIM platform;
optimizing the bridge BIM model according to GIS data and carrying out finite element analysis;
converting the finite element analysis result into a gray graph and establishing a corresponding coordinate system;
storing the finite element analysis result which is greater than the evaluation threshold value by combining the original data;
and re-acquiring the corresponding measured bridge data to verify the analysis result.
2. The method of claim 1, wherein the obtaining of the bridge raw data and the building of the bridge BIM model on the BIM platform comprises:
the method comprises the steps of acquiring surface data of a bridge to be measured by utilizing a plurality of unmanned aerial vehicles, scanning the bridge to be measured by utilizing three-dimensional laser, obtaining a damage image of the bridge to be measured, and simultaneously combining stress data acquired by a sensor corresponding to each component to construct actual measurement data of the bridge to be measured.
3. The BIM-based bridge inspection information management method of claim 2, wherein after the measured data of the bridge under inspection is constructed, the method further comprises:
and combining the data of the concept scheme stage, the design stage, the construction stage, the completion stage and the operation and maintenance stage and the project component data, standardizing and structuring all the data, transmitting the data to a server for storage, and constructing the bridge BIM model of the measured bridge based on the existing BIM platform.
4. The BIM-based bridge inspection information management method of claim 3, wherein optimizing and finite element analysis of the bridge BIM model according to GIS data comprises:
and importing the acquired urban coordinate system of the measured bridge and the geographical profile within the set range of the measured bridge into the bridge BIM by utilizing a GIS technology, supplementing and optimizing data of the bridge BIM, and carrying out finite element analysis on the optimized bridge BIM.
5. The BIM-based bridge inspection information management method of claim 4, wherein converting into a gray-scale map according to the finite element analysis result and establishing a corresponding coordinate system comprises:
and converting the finite element analysis result into a gray-scale map, dividing the gray-scale value of the gray-scale map into 5 grades according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, respectively corresponding to 5 grading standards in the bridge evaluation standard, and establishing a coordinate system by taking the gray-scale value as a vertical coordinate and the measured bridge data as a horizontal coordinate.
6. The BIM-based bridge inspection information management method of claim 5, wherein the storing the finite element analysis result larger than the evaluation threshold in combination with the raw data comprises:
and acquiring an evaluation threshold, and uploading the finite element analysis result which is greater than the evaluation threshold and the corresponding original data of the bridge to be measured to a server for storage.
7. The BIM-based bridge detection information management method of claim 6, wherein the verifying the analysis result by retrieving the corresponding measured bridge data comprises:
and according to the data stored by the server, the unmanned aerial vehicle and the three-dimensional laser are reused to obtain corresponding bridge part data, and the data is compared with the stored data for verification.
8. A bridge detection information management system based on BIM is characterized by comprising a data acquisition module, a BIM model establishment module, a GIS optimization module, a data conversion module, a data selection module and a verification module, wherein the data acquisition module, the BIM model establishment module, the GIS optimization module, the data conversion module, the data selection module and the verification module are sequentially connected, the verification module is also connected with the data acquisition module,
the data acquisition module is used for acquiring the actual measurement data of the bridge to be measured and the bridge data of each stage, and combining the actual measurement data and the bridge data into original bridge data after preprocessing;
the BIM model establishing module is used for establishing a corresponding bridge BIM model on a BIM platform according to the original bridge data;
the GIS optimization module is used for guiding the acquired urban coordinate system of the measured bridge and the geographical general profile within the set range of the measured bridge into the bridge BIM by utilizing a GIS technology, supplementing and optimizing data of the bridge BIM, and carrying out finite element analysis on the optimized bridge BIM;
the data conversion module is used for converting the finite element analysis result into a gray-scale map, dividing the gray-scale value of the gray-scale map into 5 grades according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, respectively corresponding to 5 scoring standards in the bridge evaluation standard, and establishing a coordinate system by taking the gray-scale value as a vertical coordinate and the measured bridge data as a horizontal coordinate;
the data selection module is used for uploading the finite element analysis result which is greater than the evaluation threshold value and the corresponding original data of the bridge to be tested to a server for storage according to the obtained evaluation threshold value;
and the verification module is used for acquiring corresponding bridge part data by reusing the unmanned aerial vehicle and the three-dimensional laser according to the data stored by the server, and comparing and verifying the corresponding bridge part data with the stored data.
9. The BIM-based bridge inspection information management system of claim 8, wherein the data acquisition module comprises a measured data unit, a phase data unit and a preprocessing unit, the preprocessing unit is connected with the measured data unit and the phase data unit,
the measured data unit is used for acquiring surface data of a measured bridge by using a plurality of unmanned aerial vehicles, scanning the measured bridge by using three-dimensional laser to obtain a damage image of the measured bridge, and constructing measured data of the measured bridge by combining stress data acquired by a sensor corresponding to each component;
the phase data unit is used for obtaining bridge data by acquiring data of a concept scheme phase, a design phase, a construction phase, a completion phase and an operation and maintenance phase and project component data;
and the preprocessing unit is used for carrying out standardized and structured processing on the measured data and the bridge data.
10. The BIM-based bridge inspection information management system of claim 8, wherein the data conversion module comprises a gray-scale map unit and a coordinate system establishment unit, the gray-scale map unit is connected with the coordinate system establishment unit,
the gray-scale map unit is used for converting the finite element analysis result into a standard gray-scale map;
the coordinate system establishing unit is used for dividing the gray value of the gray map into 5 grades according to a bridge evaluation standard in the highway bridge technical condition evaluation standard, the grades respectively correspond to 5 scoring standards in the bridge evaluation standard, the gray value is used as a vertical coordinate, and the measured bridge data is used as a horizontal coordinate to establish a coordinate system.
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