A bridge construction quality visual inspection method and system

Abstract

The present invention provides a method and system for visual inspection of bridge construction quality, wherein the method comprises: determining an image shooting scheme based on construction progress monitoring data; executing the image shooting scheme to obtain a shot image; and analyzing and processing the shot image to obtain a quality inspection result. The method and system for visual inspection of bridge construction quality of the present invention realizes efficient and effective inspection of bridge construction quality during the construction process.

Description

Technical Field

[0001] The present invention relates to the technical field of image analysis and processing, and in particular to a method and system for visually inspecting bridge construction quality. Background Art

[0002] Bridges are an important part of road traffic. During bridge construction, accurate monitoring of construction quality is an important way to ensure bridge quality and service life. Existing construction quality monitoring mostly relies on manual inspections and manual records. Manual inspections include naked eye observation and telescope inspections. Naked eye observation is difficult to ensure the safety of inspectors, has low efficiency, and requires a lot of manpower. How to achieve efficient and accurate inspection of bridge construction quality is a technical problem that needs to be solved urgently. Summary of the invention

[0003] One of the purposes of the present invention is to provide a method and system for visually inspecting the quality of bridge construction, so as to realize efficient and effective inspection of the quality of bridge construction during the construction process.

[0004] An embodiment of the present invention provides a method for visually inspecting bridge construction quality, comprising:

[0005] Determine the image shooting plan based on the construction progress monitoring data;

[0006] Execute the image shooting plan to obtain the shot image;

[0007] Analyze and process the captured images to obtain quality inspection results.

[0008] Preferably, the steps for determining the image shooting scheme are as follows:

[0009] Based on the bridge design data and the geological inspection data of the bridge location, an initial three-dimensional model is constructed;

[0010] Based on the construction progress monitoring data and the initial 3D model, the current progress model is constructed;

[0011] Based on the initial 3D model, retrieve the solution determination library;

[0012] According to the current progress model, an image shooting plan is determined from the plan determination library.

[0013] Preferably, the execution equipment of the shooting scheme includes: monitoring equipment installed at a fixed point at the construction site and / or shooting equipment carried by a drone.

[0014] Preferably, the analysis and processing steps of the captured images are as follows:

[0015] According to the location corresponding to the captured image, retrieve the historical captured images and detection analysis library of the location;

[0016] The photographic images and historical photographic images are analyzed as one image group;

[0017] Extract features from the images of the image analysis group and construct analysis parameter sets;

[0018] According to the analysis parameter set, the corresponding analysis result data is retrieved from the detection and analysis library.

[0019] Preferably, the bridge construction quality visual inspection method is characterized by further comprising:

[0020] Analyze construction monitoring data and determine key monitoring locations;

[0021] Monitor key monitoring locations and obtain monitoring images;

[0022] Analyze monitoring images and obtain monitoring results.

[0023] The present invention also provides a bridge construction quality visual inspection system, comprising: a scheme determination module, an execution module and an analysis module; wherein the scheme determination module determines an image shooting scheme based on construction progress monitoring data; the execution module executes the image shooting scheme to obtain a shot image; and the analysis module analyzes and processes the shot image to obtain a quality inspection result.

[0024] Preferably, the solution determination module includes: an initial model building unit, a current model building unit, a retrieval unit and a determination unit:

[0025] Among them, the initial model construction unit constructs an initial three-dimensional model based on the bridge design data and the geological detection data of the bridge setting location; the current model construction unit constructs the current progress model based on the construction progress monitoring data and the initial three-dimensional model; the retrieval unit retrieves the scheme determination library based on the initial three-dimensional model; the determination unit determines the image shooting plan from the scheme determination library based on the current progress model.

[0026] Preferably, the execution equipment of the shooting scheme includes: monitoring equipment installed at a fixed point at the construction site and / or shooting equipment carried by a drone.

[0027] Preferably, the analysis module includes: a tool calling unit, an integration unit, an analysis parameter set building unit and an analysis unit;

[0028] Among them, the tool calling unit calls the historical captured images and the detection and analysis library of the location according to the location corresponding to the captured image; the integration unit takes the captured image and the historical captured images as an image analysis group; the analysis parameter set construction unit extracts features from the images of the image analysis group and constructs an analysis parameter set; the analysis unit calls the corresponding analysis result data from the detection and analysis library according to the analysis parameter set.

[0029] Preferably, the bridge construction quality visual inspection system further includes: a monitoring module, which performs the following operations:

[0030] Analyze construction monitoring data and determine key monitoring locations;

[0031] Monitor key monitoring locations and obtain monitoring images;

[0032] Analyze monitoring images and obtain monitoring results.

[0033] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0034] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0036] Figure 1 A schematic diagram of a visual inspection method for bridge construction quality in an embodiment of the present invention;

[0037] Figure 2 Schematic diagram of a visual inspection system for bridge construction quality in an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0039] The embodiment of the present invention provides a method for visually inspecting bridge construction quality. Figure 1 As shown, including:

[0040] Step 1: Determine the image shooting plan based on the construction progress monitoring data;

[0041] During construction, the state of the bridge changes all the time. In order to achieve quality inspection, it is necessary to perform adaptive inspection according to the specific state of the bridge. Adaptive inspection is reflected in the inspection position and the analysis method of the image of the inspection position; among them, the adaptability of the inspection position is specifically reflected in the image shooting plan. The steps for determining the image shooting plan are as follows: construct an initial three-dimensional model based on the bridge design data and the geological inspection data of the bridge setting position; construct the current progress model based on the construction progress monitoring data and the initial three-dimensional model; retrieve the plan determination library based on the initial three-dimensional model; determine the image shooting plan from the plan determination library based on the current progress model; construct the initial three-dimensional model by comprehensively analyzing the bridge design data and the geological inspection data of the bridge setting position, and then delete and modify the initial model according to the specific construction situation to form the current progress model; then analyze the specific construction situation based on the current progress model, and then determine the image shooting plan; the determined image shooting plan includes each point where the image needs to be shot;

[0042] Step 2: Execute the image shooting plan to obtain the shot image;

[0043] The equipment for executing the shooting plan includes: monitoring equipment set up at fixed points on the construction site and / or shooting equipment carried by drones; some on-site monitoring equipment will be configured at the construction site according to the construction situation, and images can be taken using the monitoring equipment. In addition, drones can also be used for cruising shooting, which can take clearer shots of corners or areas that are difficult to see;

[0044] Step 3: Analyze and process the captured images to obtain quality inspection results;

[0045] The analysis and processing steps of the captured image are as follows: according to the position corresponding to the captured image, retrieve the historical captured image and the detection and analysis library of the position; take the captured image and the historical captured image as an image analysis group; extract features from the image analysis group and construct an analysis parameter set; according to the analysis parameter set, retrieve the corresponding analysis result data from the detection and analysis library. Then integrate all the analysis result data to form a quality inspection result. Among them, the parameters of the analysis parameter set include: parameters indicating whether there are cracks in the image, parameters indicating the width and length of the cracks, parameters indicating the size of each component in the image, and parameters indicating the number of each component in the image. One or more combinations; in the detection and analysis library, the analysis result data is correspondingly associated with the analysis parameter set.

[0046] In one embodiment, the bridge construction quality visual inspection method is characterized by further comprising:

[0047] Analyze construction monitoring data and determine key monitoring locations;

[0048] Monitor key monitoring locations and obtain monitoring images;

[0049] Analyze monitoring images and obtain monitoring results.

[0050] Among them, analyze the construction monitoring data and determine the key monitoring locations, including:

[0051] Analyze the construction monitoring data to determine the construction area of ​​each construction worker; determine the completion parameters of the construction area according to the status scoring parameters of the construction workers and the pre-configured construction difficulty corresponding to the construction area; determine the monitoring reference coefficient according to the completion parameters and the important values ​​corresponding to the construction area; when the monitoring reference coefficient is greater than the preset coefficient threshold, the construction area is taken as the key monitoring position; wherein, the completion parameters of the construction area are determined according to the status scoring parameters of the construction workers and the pre-configured construction difficulty corresponding to the construction area; specifically: according to the status scoring parameters and the construction difficulty, query the pre-configured completion parameter determination table to determine the completion parameters; in the completion parameter determination table, the completion parameters are correspondingly associated with the status scoring parameters and the construction difficulty, and the table is constructed in advance by professional personnel; in addition, the status scoring parameters can be based on the historical attendance data and physical monitoring data of the construction workers. The ability assessment data is input into a pre-configured neural model to determine the status scoring parameters representing the construction status of the construction personnel, which reflects the construction ability of the construction personnel; the importance value and the construction difficulty are pre-configured parameters, the importance value represents the importance of the construction area, and the construction difficulty is a parameter representing the difficulty of construction in the construction area, which is associated with the position of the construction responsible area on the initial three-dimensional model. Therefore, to determine the importance value and the construction difficulty of the construction responsible area, it is to determine the position of the construction responsible area on the initial three-dimensional model, and then call the parameters associated with the position; the monitoring reference coefficient is the weighted sum of the preset weights corresponding to the completion parameters and the importance value respectively; the analysis of the key monitoring position is mainly to call the monitoring library corresponding to the construction responsible area, match the monitoring image with the abnormal image in the monitoring library, and output the corresponding abnormal description when there is a matching item.

[0052] In one embodiment, the initial three-dimensional model is constructed based on the bridge design data and the geological detection data of the bridge setting location, including:

[0053] Using the bridge size data in the bridge design data, a first three-dimensional model of the main body of the bridge and a second three-dimensional model of the bridge are constructed;

[0054] The second three-dimensional model is modified based on the geological detection data and the weight parameters of the main body of the bridge; the settlement of the second three-dimensional model, the geological detection data and the weight parameters are mainly considered, the pre-configured settlement determination table is queried, the settlement value is determined, and then the second model is adaptively increased and extended;

[0055] The first 3D model and the second 3D model are spliced ​​to form an initial 3D model. The construction of the current progress model is relatively simple. The initial 3D model is depicted according to specific construction data, that is, the initial 3D model is used as a depiction framework, and then depicted and filled to obtain the current progress model.

[0056] In one embodiment, the scheme determination library is retrieved based on the initial three-dimensional model, including: extracting features from the initial three-dimensional model, and constructing an identification parameter set based on the extracted feature values; retrieving the corresponding scheme determination library from a pre-configured scheme determination storage library based on the identification parameter set; the parameters in the identification parameter set include: parameters representing the type of bridge, parameters representing the dimensions of each component of the bridge, parameters representing the type of each component of the bridge, parameters representing the number of each type of components of the bridge, etc.; the scheme determination storage library is constructed in advance, wherein the scheme determination library is associated with the identification parameter set in a one-to-one correspondence.

[0057] In one embodiment, according to the current progress model, determining an image shooting plan from a plan determination library includes:

[0058] Count the numbers of each completed area and the number of areas under construction in the current progress model to construct a progress parameter set;

[0059] According to the progress parameter set, an image shooting plan is retrieved from a plan determination library;

[0060] The initial three-dimensional model is segmented and each segmented area is numbered. The numbers are divided into completed numbers and unfinished numbers. The numbers of each completed area and the numbers of the areas under construction in the current progress model are counted. The completed areas are numbered as completed numbers, and the areas under construction are numbered as unfinished numbers. The specific segmentation is performed by professionals based on the construction sequence and construction experience.

[0061] In one embodiment, the visual inspection method for bridge construction quality further includes: associating and grouping the shooting positions corresponding to the shooting images; calculating the similarity between the images in the associated group; outputting the shooting images of the group with the smallest similarity and querying the corresponding analysis database according to the similarity, retrieving the annotation information associated with the similarity for synchronous output; associating the positions with the same attributes (i.e., the same images after completion) when configuring the position grouping, and performing horizontal comparison to find abnormalities;

[0062] The shooting position refers to the position on the initial three-dimensional model corresponding to the image in the shot image; the rules for associating grouping are constructed in advance, for example: position A is configured in advance to be associated with position B. At this time, when associating grouping, the shot image taken at position A is associated with the shot image taken at position B and grouped into one group.

[0063] In one embodiment, the visual inspection method for bridge construction quality further includes: comprehensively analyzing the historical construction conditions of the construction personnel in the construction area, and determining whether to use the construction area as a flexible monitoring point; when it is determined to be a flexible monitoring point, randomly screening and determining a preset number of flexible monitoring points for photographing and analysis;

[0064] Among them, a comprehensive analysis is made of the historical construction conditions of the construction personnel in the construction area they are responsible for, including: arranging the construction evaluation parameters of the construction personnel's previous N construction areas in order to form an evaluation parameter set; matching the evaluation parameter set with the standard parameter set corresponding to each prediction data in the pre-configured construction prediction library; extracting the prediction data associated with the standard parameter set matching the evaluation parameter set; the prediction data includes: the probability of an abnormality occurring in the construction area; when the probability is greater than or equal to a preset probability threshold, the construction area is used as a flexible monitoring point; the random screening rule is to first replicate the point based on the probability value (the value obtained by multiplying the probability by a preset coefficient and rounding it off is the number of replicated points), and then perform a random function to select; the construction prediction library is constructed in advance, and the standard parameter set is essentially a parameter set of the same type as the evaluation parameter set constructed after analysis.

[0065] In one embodiment, the visual inspection method for bridge construction quality also includes: obtaining current weather data, historical weather data and weather forecast data as analysis data; extracting features from the analysis data and constructing a weather change parameter set; determining a library of solutions based on weather change parameters and pre-configured weather-dependent detection; determining a detection solution and conducting a test. The parameters in the weather change parameter set are the parameters corresponding to the weather extracted for N consecutive days in sequence; the solution determination library is constructed in advance, and the detection solutions in the library are associated with the weather change parameter set in a one-to-one correspondence; the detection solution includes multiple shooting points.

[0066] The present invention also provides a bridge construction quality visual inspection system, such as Figure 2 As shown, it includes: a scheme determination module 1, an execution module 2 and an analysis module 3; wherein the scheme determination module 1 determines the image shooting scheme according to the construction progress monitoring data; the execution module 2 executes the image shooting scheme to obtain the shot image; the analysis module 3 analyzes and processes the shot image to obtain the quality inspection result.

[0067] The solution determination module 1 includes: an initial model building unit, a current model building unit, a calling unit and a determination unit:

[0068] Among them, the initial model construction unit constructs an initial three-dimensional model based on the bridge design data and the geological detection data of the bridge setting location; the current model construction unit constructs the current progress model based on the construction progress monitoring data and the initial three-dimensional model; the retrieval unit retrieves the scheme determination library based on the initial three-dimensional model; the determination unit determines the image shooting plan from the scheme determination library based on the current progress model.

[0069] Among them, the execution equipment of the shooting plan includes: monitoring equipment set at a fixed point on the construction site and / or shooting equipment carried by a drone.

[0070] Among them, the analysis module includes: a tool calling unit, an integration unit, an analysis parameter set building unit and an analysis unit;

[0071] Among them, the tool calling unit calls the historical captured images and the detection and analysis library of the location according to the location corresponding to the captured image; the integration unit takes the captured image and the historical captured images as an image analysis group; the analysis parameter set construction unit extracts features from the images of the image analysis group and constructs an analysis parameter set; the analysis unit calls the corresponding analysis result data from the detection and analysis library according to the analysis parameter set.

[0072] In one embodiment, the bridge construction quality visual inspection system further includes: a monitoring module, which performs the following operations:

[0073] Analyze construction monitoring data and determine key monitoring locations;

[0074] Monitor key monitoring locations and obtain monitoring images;

[0075] Analyze monitoring images and obtain monitoring results.

[0076] In one embodiment, the visual inspection of bridge construction quality is the same, and further includes: a lateral comparison module; the lateral comparison module performs the following operations:

[0077] The shooting positions corresponding to the shooting images are grouped together; the similarity between the images in the associated group is calculated; the shooting images of the group with the smallest similarity are output and the corresponding analysis database is queried based on the similarity, and the annotation information associated with the similarity is retrieved for synchronous output; when configuring the position grouping, the positions with the same attributes (i.e., the same images after completion) are associated, and abnormalities are found through horizontal comparison;

[0078] The shooting position refers to the position on the initial three-dimensional model corresponding to the image in the shot image; the rules for associating grouping are constructed in advance, for example: position A is configured in advance to be associated with position B. At this time, when associating grouping, the shot image taken at position A is associated with the shot image taken at position B and grouped into one group.

[0079] In one embodiment, the bridge construction quality visual inspection system further includes: a random monitoring module;

[0080] The random monitoring module performs the following operations:

[0081] Comprehensively analyze the historical construction situation of the construction personnel in the construction area to determine whether to use the construction area as a flexible monitoring point; if it is determined to be a flexible monitoring point, randomly select and determine a preset number of flexible monitoring points for shooting and analysis;

[0082] Among them, a comprehensive analysis is made of the historical construction conditions of the construction personnel in the construction area they are responsible for, including: arranging the construction evaluation parameters of the construction personnel's previous N construction areas in order to form an evaluation parameter set; matching the evaluation parameter set with the standard parameter set corresponding to each prediction data in the pre-configured construction prediction library; extracting the prediction data associated with the standard parameter set matching the evaluation parameter set; the prediction data includes: the probability of an abnormality occurring in the construction area; when the probability is greater than or equal to a preset probability threshold, the construction area is used as a flexible monitoring point; the random screening rule is to first replicate the point based on the probability value (the value obtained by multiplying the probability by a preset coefficient and rounding it off is the number of replicated points), and then perform a random function to select; the construction prediction library is constructed in advance, and the standard parameter set is essentially a parameter set of the same type as the evaluation parameter set constructed after analysis.

[0083] In one embodiment, the bridge construction quality visual inspection system further includes: a weather analysis module;

[0084] The weather analysis module performs the following operations:

[0085] Obtain current weather data, historical weather data, and weather forecast data as analysis data; extract features from the analysis data and construct a weather change parameter set; determine a library based on weather change parameters and pre-configured weather-dependent detection schemes; determine the detection scheme and conduct detection. Among them, the parameters in the weather change parameter set are the parameters corresponding to the extracted weather for N consecutive days; the scheme determination library is constructed in advance, and the detection schemes in the library are associated with the weather change parameter set in a one-to-one correspondence; the detection scheme includes multiple shooting points.

[0086] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A visual inspection method for bridge construction quality, characterized in that: include: Determine the image shooting plan based on the construction progress monitoring data; Execute the image shooting plan to obtain the shot image; Analyze and process the captured images to obtain quality inspection results; Analyze construction monitoring data and determine key monitoring locations; Monitor key monitoring locations and obtain monitoring images; Analyze monitoring images and obtain monitoring results; Among them, analyze the construction monitoring data and determine the key monitoring locations, including: Analyze construction monitoring data and determine the construction area responsible for each construction worker; Determine the completion parameters of the construction area according to the status scoring parameters of the construction personnel and the pre-configured construction difficulty corresponding to the construction area; Determine the monitoring reference coefficient based on the completion parameters and the important values ​​corresponding to the construction area; When the monitoring reference coefficient is greater than the preset coefficient threshold, the construction area will be used as the key monitoring location; Among them, the completion parameters of the construction area are determined according to the status scoring parameters of the construction personnel and the pre-configured construction difficulty corresponding to the construction area; specifically: According to the status scoring parameters and the construction difficulty, the pre-configured completion parameter determination table is queried to determine the completion parameters; In the completion parameter determination table, the completion parameters are associated with the status scoring parameters and the construction difficulty, and the table is analyzed and constructed in advance by professionals; in addition, the status scoring parameters are input into a pre-configured neural model based on the historical attendance data, physical monitoring data and ability assessment data of the construction personnel to determine the status scoring parameters representing the construction status of the construction personnel; the importance value and the construction difficulty are pre-configured parameters, the importance value is a parameter representing the importance of the construction area, and the construction difficulty is a parameter representing the construction difficulty of the construction area, which is associated with the position of the construction responsible area on the initial three-dimensional model. Therefore, to determine the importance value and the construction difficulty of the construction responsible area, it is to determine the corresponding position of the construction responsible area on the initial three-dimensional model, and then call the parameters associated with the position; the monitoring reference coefficient is the weighted sum of the preset weights corresponding to the completion parameters and the importance value respectively; the analysis of the key monitoring position is to call the monitoring library corresponding to the construction responsible area, match the monitoring image with the abnormal image in the monitoring library, and output the corresponding abnormal description when there is a matching item.

2. The visual inspection method for bridge construction quality according to claim 1, characterized in that: The steps to determine the image shooting plan are as follows: Based on the bridge design data and the geological inspection data of the bridge location, an initial three-dimensional model is constructed; Based on the construction progress monitoring data and the initial 3D model, the current progress model is constructed; Based on the initial 3D model, retrieve the solution determination library; According to the current progress model, an image shooting plan is determined from the plan determination library.

3. The visual inspection method for bridge construction quality according to claim 1, characterized in that: The execution equipment of the shooting plan includes: monitoring equipment set up at a fixed point on the construction site and / or shooting equipment carried by drones.

4. The visual inspection method for bridge construction quality according to claim 1, characterized in that: The analysis and processing steps of the captured images are as follows: According to the location corresponding to the captured image, retrieve the historical captured images and detection analysis library of the location; The photographic images and historical photographic images are analyzed as one image group; Extract features from the images of the image analysis group and construct analysis parameter sets; According to the analysis parameter set, the corresponding analysis result data is retrieved from the detection and analysis library.

5. A visual inspection system for bridge construction quality, characterized in that: include: A scheme determination module, an execution module and an analysis module; wherein the scheme determination module determines the image shooting scheme based on the construction progress monitoring data; the execution module executes the image shooting scheme and obtains the captured images; the analysis module analyzes and processes the captured images and obtains the quality inspection results; Monitoring module, the monitoring module performs the following operations: Analyze construction monitoring data and determine key monitoring locations; Monitor key monitoring locations and obtain monitoring images; Analyze monitoring images and obtain monitoring results; Among them, analyze the construction monitoring data and determine the key monitoring locations, including: Analyze construction monitoring data and determine the construction area responsible for each construction worker; Determine the completion parameters of the construction area according to the status scoring parameters of the construction personnel and the pre-configured construction difficulty corresponding to the construction area; Determine the monitoring reference coefficient based on the completion parameters and the important values ​​corresponding to the construction area; When the monitoring reference coefficient is greater than the preset coefficient threshold, the construction area will be used as the key monitoring location; Among them, the completion parameters of the construction area are determined according to the status scoring parameters of the construction personnel and the pre-configured construction difficulty corresponding to the construction area; specifically: According to the status scoring parameters and the construction difficulty, the pre-configured completion parameter determination table is queried to determine the completion parameters; In the completion parameter determination table, the completion parameters are associated with the status scoring parameters and the construction difficulty, and the table is analyzed and constructed in advance by professionals; in addition, the status scoring parameters are input into a pre-configured neural model based on the historical attendance data, physical monitoring data and ability assessment data of the construction personnel to determine the status scoring parameters representing the construction status of the construction personnel; the importance value and the construction difficulty are pre-configured parameters, the importance value is a parameter representing the importance of the construction area, and the construction difficulty is a parameter representing the construction difficulty of the construction area, which is associated with the position of the construction responsible area on the initial three-dimensional model. Therefore, to determine the importance value and the construction difficulty of the construction responsible area, it is to determine the corresponding position of the construction responsible area on the initial three-dimensional model, and then call the parameters associated with the position; the monitoring reference coefficient is the weighted sum of the preset weights corresponding to the completion parameters and the importance value respectively; the analysis of the key monitoring position is to call the monitoring library corresponding to the construction responsible area, match the monitoring image with the abnormal image in the monitoring library, and output the corresponding abnormal description when there is a matching item.

6. The bridge construction quality visual inspection system according to claim 5, characterized in that: The solution determination module includes: initial model building unit, current model building unit, retrieval unit and determination unit: Among them, the initial model construction unit constructs an initial three-dimensional model based on the bridge design data and the geological detection data of the bridge setting location; the current model construction unit constructs the current progress model based on the construction progress monitoring data and the initial three-dimensional model; the retrieval unit retrieves the scheme determination library based on the initial three-dimensional model; the determination unit determines the image shooting plan from the scheme determination library based on the current progress model.

7. The bridge construction quality visual inspection system according to claim 5, characterized in that: The execution equipment of the shooting plan includes: monitoring equipment set up at a fixed point on the construction site and / or shooting equipment carried by drones.

8. The bridge construction quality visual inspection system according to claim 5, characterized in that: The analysis module includes: a tool calling unit, an integration unit, an analysis parameter set building unit and an analysis unit; Among them, the tool calling unit calls the historical captured images and the detection and analysis library of the location according to the location corresponding to the captured image; the integration unit takes the captured image and the historical captured images as an image analysis group; the analysis parameter set construction unit extracts features from the images of the image analysis group and constructs an analysis parameter set; the analysis unit calls the corresponding analysis result data from the detection and analysis library according to the analysis parameter set.

Images