Multi-dimensional bridge structure detection system and method

Abstract

The invention provides a multi-dimensional bridge structure detection system and method, and the system comprises a data collection module which is used for determining the detection dimensions of a bridge structure based on detection requirements, and collecting the bridge structure data corresponding to each detection dimension; the structure detection module is used for analyzing the bridge structure data corresponding to each detection dimension, determining the corresponding independent detection result of the bridge structure under each detection dimension, performing multi-source fusion on the bridge structure data corresponding to each detection dimension based on the detection dimension, and analyzing the multi-source fusion result to obtain the bridge structure data corresponding to each detection dimension. Determining a comprehensive detection result of the bridge structure; and the management module is used for evaluating the structure state of the bridge based on the independent detection result and the comprehensive detection result, and generating a bridge structure detection report based on an evaluation result. Various key parameters can be monitored and analyzed in real time, potential structure defects and hidden dangers can be found in time, and a scientific basis is provided for maintenance and management of bridges.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a multi-dimensional bridge structure detection system and method. Background Art

[0002] At present, with the rapid development of modern transportation, bridges, as important transportation infrastructure, are of vital importance for their safety and reliability. Effective inspection of bridges provides reliable guarantee for transportation.

[0003] However, bridge structures are affected by many factors during use, such as vehicle loads, environmental erosion, material aging, etc. Traditional bridge inspections are often limited to a single dimension or a few aspects, making it difficult to fully and accurately reflect the overall structural condition of the bridge. In addition, current bridge structure inspections have problems such as insufficient accuracy, insufficient real-time performance, and incomplete data collection, which greatly reduces the inspection effect of bridge structures.

[0004] Therefore, in order to overcome the above-mentioned defects, the present invention provides a multi-dimensional bridge structure detection system and method. Summary of the invention

[0005] The present invention provides a multi-dimensional bridge structure detection system and method, which are used to effectively determine the detection dimensions of the bridge structure according to the detection requirements, so as to facilitate comprehensive and effective detection of the bridge structure according to the detection dimensions, ensure the comprehensiveness of the obtained bridge structure data, and provide reliable data support for bridge structure detection. Secondly, by performing separate analysis and multi-source fusion analysis on the bridge structure data corresponding to each detection dimension, effective detection of the bridge structure from two aspects is achieved. Finally, by comparing and analyzing the independent detection results and the comprehensive detection results to evaluate the bridge, the effective determination of the bridge structure status is achieved, and a corresponding bridge structure detection report is generated, which is convenient for effective understanding of the detection results, can monitor and analyze various key parameters in real time, and timely discover potential structural defects and hidden dangers, providing a scientific basis for the maintenance and management of the bridge.

[0006] The present invention provides a multi-dimensional bridge structure detection system, comprising:

[0007] A data acquisition module, used to determine the inspection dimension of the bridge structure based on the inspection requirements, and to collect bridge structure data corresponding to each inspection dimension;

[0008] The structural detection module is used to analyze the bridge structure data corresponding to each detection dimension respectively, determine the independent detection result corresponding to the bridge structure under each detection dimension, and at the same time, perform multi-source fusion on the bridge structure data corresponding to each detection dimension based on the detection dimension, and analyze the multi-source fusion results to determine the comprehensive detection result of the bridge structure;

[0009] The management module is used to evaluate the structural status of the bridge based on the independent test results and the comprehensive test results, and to generate a bridge structure test report based on the evaluation results.

[0010] Preferably, a multi-dimensional bridge structure detection system, a data acquisition module, comprises:

[0011] A requirement parsing unit is used to obtain the inspection requirements based on the management terminal, and parse the inspection requirements to determine the inspection purpose of the bridge structure;

[0012] Dimensioning unit for:

[0013] Matching a corresponding inspection item set from preset bridge structure inspection items based on the inspection purpose, and extracting basic information of each inspection item in the inspection item set;

[0014] The basic information of each inspection item is associated with the inspection purpose, and the inspection dimension of the bridge structure is determined based on the association results.

[0015] Preferably, a multi-dimensional bridge structure detection system is provided, wherein the detection dimensions include: bridge static load detection, bridge dynamic load detection, bridge displacement detection, bridge bearing capacity detection, structural linearity detection, verticality detection, cable tension detection, temperature detection, wind speed detection and prestressed duct grouting density detection.

[0016] Preferably, a multi-dimensional bridge structure detection system, a data acquisition module, comprises:

[0017] The acquisition preparation unit is used to obtain the bridge structure diagram of the bridge to be inspected based on the management terminal, and parse the bridge structure diagram based on the bridge structure knowledge graph to obtain a set of key inspection position points in each inspection dimension in the bridge structure;

[0018] A deployment guidance unit, used to perform dimensional difference mapping of each key detection position point in the key detection position point set in the bridge structure diagram, and obtain a sensor deployment guidance diagram based on the dimensional difference mapping result;

[0019] Data acquisition unit for:

[0020] Provide deployment guidance for sensors of different detection dimensions based on the sensor deployment guidance diagram, and build a distributed control link between each sensor and the management terminal based on the deployment guidance structure;

[0021] Based on the distributed control link, the management terminal issues data collection instructions to each sensor, and collects real-time data of the bridge structure based on the published results to obtain the bridge structure data corresponding to each detection dimension.

[0022] Preferably, a multi-dimensional bridge structure detection system, a data acquisition unit, comprises:

[0023] Data collection configuration subunit, used for:

[0024] Analyze the testing requirements and determine the data collection frequency corresponding to different testing dimensions based on the analysis results;

[0025] Add periodic timestamps to data collection instructions of different detection dimensions based on the data collection frequency, and periodically generate data collection instructions based on the added results;

[0026] The instruction sending subunit is used to send the periodically generated data acquisition instructions to the corresponding sensors based on the distributed control link, and receive the real-time data of the bridge structure fed back by the corresponding sensors in real time according to the distributed control link based on the sending result;

[0027] The data storage subunit is used to classify and store the received real-time data of the bridge structure based on the dimensional information of the sensor.

[0028] Preferably, a multi-dimensional bridge structure detection system, a structure detection module, comprises:

[0029] A data retrieval unit, used to extract the dimension identifier of each detection dimension, and access a preset database based on the dimension identifier to obtain historical detection data corresponding to each detection dimension;

[0030] Policy Development Unit, which is used to:

[0031] Split the data subject and the test results in the historical test data corresponding to each test dimension, and arrange the data subject and the test results in sequence according to the time series based on the split results;

[0032] Based on the results of sequential arrangement, the variation characteristics of the detection results along with the data subject are obtained, and the relationship function between the data subject and the detection results is determined based on the variation characteristics;

[0033] The detection unit is used to obtain the bridge structure data corresponding to each detection dimension, and analyze the bridge structure data corresponding to each detection dimension based on the relationship function to obtain the independent detection result corresponding to the bridge structure in each detection dimension.

[0034] Preferably, a multi-dimensional bridge structure detection system, a structure detection module, comprises:

[0035] Data verification unit, used for:

[0036] The bridge structure data corresponding to each detection dimension is obtained, and at the same time, the relationship topology structure between different detection dimensions is determined based on the preset bridge structure detection system;

[0037] Determine the association relationship between different detection dimensions based on the relationship topology, and divide the bridge structure data corresponding to each detection dimension into groups based on the association relationship, wherein each group contains bridge structure data corresponding to three detection dimensions;

[0038] Based on the group division results, the bridge structure data corresponding to the three detection dimensions in each group are sequentially subjected to single parameter correction comparison, and based on the single parameter correction comparison, the bridge structure data corresponding to the three detection dimensions in each group are respectively subjected to parameter correction;

[0039] Data fusion unit for:

[0040] The format of the bridge structure data of each detection dimension after parameter correction is unified, and the time series of the bridge structure data of each detection dimension is extracted;

[0041] Determine the same analysis time starting point and the same analysis time ending point of the bridge structure data of different detection dimensions based on the time series, and perform time synchronization on the bridge structure data of different detection dimensions based on the same analysis time starting point and the same analysis time ending point;

[0042] Based on the time synchronization result, the influence weight of each detection dimension is determined according to the relationship topological structure between different detection dimensions, and the bridge structure data of each detection dimension is weighted multi-source fused based on the influence weight and the relationship topological structure between different detection dimensions to obtain the multi-source fusion result;

[0043] The comprehensive detection unit is used to analyze the multi-source fusion results based on a preset structural detection model and obtain a comprehensive detection result based on the analysis result.

[0044] Preferably, a multi-dimensional bridge structure detection system management module includes:

[0045] Condition Assessment Unit for:

[0046] Obtaining the obtained independent detection results and comprehensive detection results, and generating a first bridge structure detection visualization annotation diagram and a second bridge structure detection visualization annotation diagram based on the independent detection results and the comprehensive detection results respectively;

[0047] Perform same-position mapping comparison on the first bridge structure inspection visualization annotation image and the second bridge structure inspection visualization annotation image, and determine the distribution characteristic difference of abnormal structures in the bridge structure and the abnormal characteristic difference of each abnormal structure based on the same-position mapping comparison result;

[0048] When there is no distribution characteristic difference or the abnormal characteristic difference of the abnormal structure does not exceed the preset threshold, an evaluation index system for the bridge structure is obtained, and based on the evaluation index system, the annotation parameters in the first bridge structure detection visualization annotation map and the second bridge structure detection visualization annotation map are analyzed to obtain the structural state of the bridge;

[0049] When there is a distribution feature difference or an abnormal feature difference of an abnormal structure exceeds a preset threshold, the abnormal structure is locked;

[0050] Parameter update unit, used to:

[0051] Send a verification notification to the staff terminal based on the locking result, and enable active upload permission for the staff terminal;

[0052] Based on the activation results, the re-collected data sent by the staff terminal is monitored in real time, and the abnormal structure is re-checked based on the re-collected data;

[0053] The re-inspection results are used as standard results to update the first bridge structure inspection visualization annotation diagram and the second bridge structure inspection visualization annotation diagram, and the structural status of the bridge is evaluated based on the updated results.

[0054] Preferably, a multi-dimensional bridge structure detection system management module includes:

[0055] Report generation unit for:

[0056] Create data record reports and extract time parameters corresponding to evaluation results;

[0057] Obtain report record items based on time parameters and evaluation results, and divide data record reports into regions based on the report record items;

[0058] Based on the regional division results, the report record items are recorded in the data record report to obtain the corresponding bridge structure inspection report;

[0059] The notification unit is used to transmit the bridge structure inspection report to the management terminal for visual notification.

[0060] The present invention provides a multi-dimensional bridge structure detection method, comprising:

[0061] Step 1: Determine the inspection dimensions of the bridge structure based on the inspection requirements, and collect the bridge structure data corresponding to each inspection dimension;

[0062] Step 2: Analyze the bridge structure data corresponding to each detection dimension respectively to determine the independent detection result of the bridge structure under each detection dimension. At the same time, perform multi-source fusion on the bridge structure data corresponding to each detection dimension based on the detection dimension, analyze the multi-source fusion results, and determine the comprehensive detection result of the bridge structure.

[0063] Step 3: Evaluate the structural status of the bridge based on the independent test results and the comprehensive test results, and generate a bridge structure inspection report based on the evaluation results.

[0064] Compared with the prior art, the present invention has the following beneficial effects:

[0065] By effectively determining the inspection dimensions of the bridge structure according to the inspection requirements, it is convenient to conduct comprehensive and effective inspections of the bridge structure according to the inspection dimensions, ensuring the comprehensiveness of the obtained bridge structure data and providing reliable data support for bridge structure inspection. Secondly, by conducting separate analysis and multi-source fusion analysis on the bridge structure data corresponding to each inspection dimension, effective inspection of the bridge structure can be achieved from two aspects. Finally, by comparing and analyzing the independent inspection results and the comprehensive inspection results to evaluate the bridge, the bridge structure status can be effectively determined, and a corresponding bridge structure inspection report can be generated to facilitate effective understanding of the inspection results, monitor and analyze various key parameters in real time, and promptly discover potential structural defects and hidden dangers, providing a scientific basis for bridge maintenance and management.

[0066] 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 specifically pointed out in this application document.

[0067] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] 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:

[0069] Figure 1 is a structural diagram of a multi-dimensional bridge structure detection system in an embodiment of the present invention;

[0070] Figure 2 It is a structural diagram of a data acquisition module in a multi-dimensional bridge structure detection system in an embodiment of the present invention;

[0071] Figure 3The figure is a flow chart of a multi-dimensional bridge structure detection method in an embodiment of the present invention. DETAILED DESCRIPTION

[0072] 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.

[0073] Embodiment 1:

[0074] This embodiment provides a multi-dimensional bridge structure detection system, such as Figure 1 As shown, including:

[0075] A data acquisition module, used to determine the inspection dimension of the bridge structure based on the inspection requirements, and to collect bridge structure data corresponding to each inspection dimension;

[0076] The structural detection module is used to analyze the bridge structure data corresponding to each detection dimension respectively, determine the independent detection result corresponding to the bridge structure under each detection dimension, and at the same time, perform multi-source fusion on the bridge structure data corresponding to each detection dimension based on the detection dimension, and analyze the multi-source fusion results to determine the comprehensive detection result of the bridge structure;

[0077] The management module is used to evaluate the structural status of the bridge based on the independent test results and the comprehensive test results, and to generate a bridge structure test report based on the evaluation results.

[0078] In this embodiment, the inspection requirements are set in advance and are used to represent the inspection dimensions (inspection types) for the bridge structure and the specific inspection standards corresponding to each inspection dimension.

[0079] In this embodiment, the bridge structure data refers to the corresponding results obtained after data collection on the bridge structure according to the detection dimension.

[0080] In this embodiment, the independent detection result refers to a detection result obtained by separately analyzing the bridge structure data corresponding to each detection dimension without considering the mutual influence relationship between the detection dimensions.

[0081] In this embodiment, multi-source fusion refers to considering the correlation between each detection dimension, aggregating the bridge structure data corresponding to different detection dimensions, and determining the interaction relationship between the bridge structure data corresponding to different detection dimensions.

[0082] In this embodiment, the comprehensive detection result refers to the result obtained after analyzing the multi-source fusion, that is, the detection result of the bridge structure obtained after considering the influence relationship between each detection dimension.

[0083] In this embodiment, evaluating the structural state of the bridge based on independent test results and comprehensive test results refers to determining the test results of the bridge structure by comparing and analyzing the independent test results and the comprehensive test results, with the aim of improving the reliability of the test of the bridge structure.

[0084] The working principle and beneficial effects of the above technical solution are: by effectively determining the inspection dimension of the bridge structure according to the inspection requirements, it is convenient to carry out comprehensive and effective inspection of the bridge structure according to the inspection dimension, ensuring the comprehensiveness of the obtained bridge structure data, and providing reliable data support for bridge structure inspection. Secondly, by conducting separate analysis and multi-source fusion analysis on the bridge structure data corresponding to each inspection dimension, effective inspection of the bridge structure can be achieved from two aspects. Finally, by comparing and analyzing the independent inspection results and the comprehensive inspection results to evaluate the bridge, the effective determination of the bridge structure status can be achieved, and a corresponding bridge structure inspection report can be generated, which is convenient for effective understanding of the inspection results, can monitor and analyze various key parameters in real time, and promptly discover potential structural defects and hidden dangers, providing a scientific basis for the maintenance and management of the bridge.

[0085] Embodiment 2:

[0086] Based on Example 1, this example provides a multi-dimensional bridge structure detection system, such as Figure 2 As shown, the data acquisition module includes:

[0087] A requirement parsing unit is used to obtain the inspection requirements based on the management terminal, and parse the inspection requirements to determine the inspection purpose of the bridge structure;

[0088] Dimensioning unit for:

[0089] Matching a corresponding inspection item set from preset bridge structure inspection items based on the inspection purpose, and extracting basic information of each inspection item in the inspection item set;

[0090] The basic information of each inspection item is associated with the inspection purpose, and the inspection dimension of the bridge structure is determined based on the association results.

[0091] In this embodiment, the inspection purpose refers to the inspection purpose to be achieved and the inspection items to be performed when inspecting the bridge structure.

[0092] In this embodiment, the preset bridge inspection items are known in advance, and may be, for example, bridge static load inspection, bridge dynamic load inspection, and bridge displacement inspection items.

[0093] In this embodiment, the basic information refers to the basic conditions corresponding to each detection item, for example, information such as the type of data and data format that needs to be collected.

[0094] The working principle and beneficial effects of the above technical solution are: by parsing the inspection requirements, the inspection purpose can be effectively determined, so as to match the inspection project set from the preset bridge structure inspection projects according to the inspection purpose, and lock the basic information of the inspection project. Finally, the inspection dimension of the bridge structure can be effectively determined through the basic information and inspection purpose of each inspection project, which provides convenience for multi-dimensional bridge structure inspection.

[0095] Embodiment 3:

[0096] Based on Example 2, this embodiment provides a multi-dimensional bridge structure detection system, and the detection dimensions include: bridge static load detection, bridge dynamic load detection, bridge displacement detection, bridge bearing capacity detection, structural linearity detection, verticality detection, cable tension detection, temperature detection, wind speed detection and prestressed duct grouting density detection.

[0097] Embodiment 4:

[0098] Based on Example 1, this embodiment provides a multi-dimensional bridge structure detection system, a data acquisition module, including:

[0099] The acquisition preparation unit is used to obtain the bridge structure diagram of the bridge to be inspected based on the management terminal, and parse the bridge structure diagram based on the bridge structure knowledge graph to obtain a set of key inspection position points in each inspection dimension in the bridge structure;

[0100] A deployment guidance unit, used to perform dimensional difference mapping of each key detection position point in the key detection position point set in the bridge structure diagram, and obtain a sensor deployment guidance diagram based on the dimensional difference mapping result;

[0101] Data acquisition unit for:

[0102] Provide deployment guidance for sensors of different detection dimensions based on the sensor deployment guidance diagram, and build a distributed control link between each sensor and the management terminal based on the deployment guidance structure;

[0103] Based on the distributed control link, the management terminal issues data collection instructions to each sensor, and collects real-time data of the bridge structure based on the published results to obtain the bridge structure data corresponding to each detection dimension.

[0104] In this embodiment, the bridge structure knowledge graph is all knowledge related to the bridge structure, and the purpose is to effectively determine the key detection location points in the bridge structure through the bridge structure knowledge graph.

[0105] In this embodiment, the key detection position point set refers to the position points that can effectively monitor the specific conditions of the bridge structure according to the detection dimensions, thereby ensuring the accuracy and reliability of the bridge structure data obtained in each monitoring dimension.

[0106] In this embodiment, dimension difference mapping refers to displaying each key detection position point in the bridge structure diagram, that is, each detection dimension is marked in a different manner, so as to facilitate the effective display of the key detection position points corresponding to different detection dimensions.

[0107] In this embodiment, the sensor deployment guidance map refers to an indication map that can guide the sensor installation location.

[0108] The working principle and beneficial effects of the above technical solution are: by analyzing the bridge structure diagram of the bridge to be inspected, the key detection position point set of each detection dimension in the bridge structure is effectively determined, so as to facilitate the generation of a sensor deployment guidance map according to the determined key detection position point set, and realize effective deployment guidance for the sensors. Finally, according to the deployment results, a distributed control link between each sensor and the management terminal is constructed, and data collection instructions are sent to each sensor through the distributed control link, so as to realize comprehensive and reliable detection of the bridge structure data corresponding to each detection dimension, thereby ensuring the accuracy, comprehensiveness and reliability of data collection.

[0109] Embodiment 5:

[0110] Based on Example 4, this embodiment provides a multi-dimensional bridge structure detection system, a data acquisition unit, including:

[0111] Data collection configuration subunit, used for:

[0112] Analyze the testing requirements and determine the data collection frequency corresponding to different testing dimensions based on the analysis results;

[0113] Add periodic timestamps to data collection instructions of different detection dimensions based on the data collection frequency, and periodically generate data collection instructions based on the added results;

[0114] The instruction sending subunit is used to send the periodically generated data acquisition instructions to the corresponding sensors based on the distributed control link, and receive the real-time data of the bridge structure fed back by the corresponding sensors in real time according to the distributed control link based on the sending result;

[0115] The data storage subunit is used to classify and store the received real-time data of the bridge structure based on the dimensional information of the sensor.

[0116] In this embodiment, the data collection frequency refers to the time interval for collecting data corresponding to different detection dimensions.

[0117] In this embodiment, the periodic timestamp refers to a parameter that limits the release time of the data collection instruction, and is used to represent the specific time information corresponding to the release of data collection instructions of different frequencies.

[0118] The working principle and beneficial effects of the above technical solution are: by determining the data collection frequency corresponding to different detection dimensions, the corresponding periodic timestamp is added to the data collection instruction according to the data collection frequency, thereby realizing the periodic generation of data collection instructions, ensuring the real-time data collection and classified storage of the bridge structure, and providing reliable data support for bridge structure detection.

[0119] Embodiment 6:

[0120] Based on Example 1, this embodiment provides a multi-dimensional bridge structure detection system, a structure detection module, including:

[0121] A data retrieval unit, used to extract the dimension identifier of each detection dimension, and access a preset database based on the dimension identifier to obtain historical detection data corresponding to each detection dimension;

[0122] Policy Development Unit, which is used to:

[0123] Split the data subject and the test results in the historical test data corresponding to each test dimension, and arrange the data subject and the test results in sequence according to the time series based on the split results;

[0124] Based on the results of sequential arrangement, the variation characteristics of the detection results along with the data subject are obtained, and the relationship function between the data subject and the detection results is determined based on the variation characteristics;

[0125] The detection unit is used to obtain the bridge structure data corresponding to each detection dimension, and analyze the bridge structure data corresponding to each detection dimension based on the relationship function to obtain the independent detection result corresponding to the bridge structure in each detection dimension.

[0126] In this embodiment, the dimension identifier refers to a marking symbol that can distinguish different detection dimensions. Different detection dimensions can be accurately and effectively distinguished through the dimension identifier.

[0127] In this embodiment, the preset database is set in advance and is used to store historical detection data corresponding to each detection dimension.

[0128] In this embodiment, the data subject refers to the detection target corresponding to each detection dimension, such as temperature, wind speed, and bridge bearing capacity.

[0129] In this embodiment, the detection result and the data subject are one-to-one objects, and are the detection results corresponding to the data subject, that is, the data parameters that characterize the specific situation of the data subject.

[0130] In this embodiment, the change feature refers to the change of the detection result as the data subject changes.

[0131] The working principle and beneficial effects of the above technical solution are: by retrieving the historical detection data corresponding to each detection dimension from the preset database according to the detection dimension, and analyzing the historical detection data, the relationship function between the data subject and the detection result is effectively determined, which provides an effective tool for analyzing the real-time data of the bridge structure. Finally, the bridge structure data corresponding to each detection dimension is analyzed through the obtained relationship function, so as to accurately and effectively determine the independent detection result corresponding to each detection dimension.

[0132] Embodiment 7:

[0133] Based on Example 1, this embodiment provides a multi-dimensional bridge structure detection system, a structure detection module, including:

[0134] Data verification unit, used for:

[0135] The bridge structure data corresponding to each detection dimension is obtained, and at the same time, the relationship topology structure between different detection dimensions is determined based on the preset bridge structure detection system;

[0136] Determine the association relationship between different detection dimensions based on the relationship topology, and divide the bridge structure data corresponding to each detection dimension into groups based on the association relationship, wherein each group contains bridge structure data corresponding to three detection dimensions;

[0137] Based on the group division results, the bridge structure data corresponding to the three detection dimensions in each group are sequentially subjected to single parameter correction comparison, and based on the single parameter correction comparison, the bridge structure data corresponding to the three detection dimensions in each group are respectively subjected to parameter correction;

[0138] Data fusion unit for:

[0139] The format of the bridge structure data of each detection dimension after parameter correction is unified, and the time series of the bridge structure data of each detection dimension is extracted;

[0140] Determine the same analysis time starting point and the same analysis time ending point of the bridge structure data of different detection dimensions based on the time series, and perform time synchronization on the bridge structure data of different detection dimensions based on the same analysis time starting point and the same analysis time ending point;

[0141] Based on the time synchronization result, the influence weight of each detection dimension is determined according to the relationship topological structure between different detection dimensions, and the bridge structure data of each detection dimension is weighted multi-source fused based on the influence weight and the relationship topological structure between different detection dimensions to obtain the multi-source fusion result;

[0142] The comprehensive detection unit is used to analyze the multi-source fusion results based on a preset structural detection model and obtain a comprehensive detection result based on the analysis result.

[0143] In this embodiment, the preset bridge structure detection system is known in advance and is used to characterize the correlation relationship and mutual restriction relationship (ie, relationship topology structure) between different detection dimensions.

[0144] In this embodiment, group division refers to splitting the bridge structure data corresponding to each detection dimension in order to form a parameter control group, thereby facilitating correction processing of the bridge structure data corresponding to each detection dimension through the parameter control group.

[0145] In this embodiment, performing single parameter correction comparison in sequence refers to changing the value of the bridge structure data of one of the detection dimensions, while keeping the other two groups of data unchanged, so as to determine the change of the changed bridge structure data relative to the other two groups, thereby achieving correction processing of the bridge structure data.

[0146] In this embodiment, the time series refers to the specific time information corresponding to the bridge structure data, that is, the specific generation time corresponding to different data.

[0147] In this embodiment, the same analysis time starting point and the same analysis time ending point are respectively the time starting point and time ending point corresponding to the data. The purpose is to synchronize the bridge structure data of different detection dimensions, so as to facilitate the effective fusion of bridge structure data of different detection dimensions in the same time and space.

[0148] In this embodiment, the influence weight refers to the degree of influence of the bridge structure data of different detection dimensions on the overall structure when the overall structure of the bridge is detected.

[0149] In this embodiment, the preset structure detection model is trained in advance and is used to analyze the multi-source fusion results of the bridge structure data corresponding to different detection dimensions to determine the comprehensive detection results of the bridge structure.

[0150] The working principle and beneficial effects of the above technical solution are as follows: by parsing the bridge structure data corresponding to different detection dimensions, the relationship topological structure between different detection dimensions can be effectively determined, so that the bridge structure data corresponding to each detection dimension can be grouped according to the relationship topological structure, and the group division results can be quantitatively analyzed, in order to correct the bridge structure data and ensure the accuracy and reliability of the bridge structure data. Secondly, the corrected bridge structure data is time synchronized, which provides convenience for the fusion of multi-dimensional bridge structure data. At the same time, the influence weight of each detection dimension is determined according to the relationship topological structure between different detection dimensions, and the weighted multi-source fusion of the bridge structure data of each detection dimension is realized according to the time synchronization result and the influence weight, so as to ensure the reliability of the multi-source fusion result. Finally, the multi-source fusion result is analyzed by the preset structural detection model, so as to realize the accurate and effective generation of the comprehensive detection result of the bridge structure, ensure the reliability of the obtained detection result, and be able to monitor and analyze various key parameters in real time, timely discover potential structural defects and hidden dangers, and provide a scientific basis for the maintenance and management of bridges.

[0151] Embodiment 8:

[0152] Based on Example 1, this embodiment provides a multi-dimensional bridge structure detection system and a management module, including:

[0153] Condition Assessment Unit for:

[0154] Obtaining the obtained independent detection results and comprehensive detection results, and generating a first bridge structure detection visualization annotation diagram and a second bridge structure detection visualization annotation diagram based on the independent detection results and the comprehensive detection results respectively;

[0155] Perform same-position mapping comparison on the first bridge structure inspection visualization annotation image and the second bridge structure inspection visualization annotation image, and determine the distribution characteristic difference of abnormal structures in the bridge structure and the abnormal characteristic difference of each abnormal structure based on the same-position mapping comparison result;

[0156] When there is no distribution characteristic difference or the abnormal characteristic difference of the abnormal structure does not exceed the preset threshold, an evaluation index system for the bridge structure is obtained, and based on the evaluation index system, the annotation parameters in the first bridge structure detection visualization annotation map and the second bridge structure detection visualization annotation map are analyzed to obtain the structural state of the bridge;

[0157] When there is a distribution feature difference or an abnormal feature difference of an abnormal structure exceeds a preset threshold, the abnormal structure is locked;

[0158] Parameter update unit, used to:

[0159] Send a verification notification to the staff terminal based on the locking result, and enable active upload permission for the staff terminal;

[0160] Based on the activation results, the re-collected data sent by the staff terminal is monitored in real time, and the abnormal structure is re-checked based on the re-collected data;

[0161] The re-inspection results are used as standard results to update the first bridge structure inspection visualization annotation diagram and the second bridge structure inspection visualization annotation diagram, and the structural status of the bridge is evaluated based on the updated results.

[0162] In this embodiment, the first bridge structure inspection visualization annotation diagram refers to a diagram that displays the bridge structure inspection results after visually displaying the independent inspection results, that is, the diagram displays the results obtained after a separate inspection of each inspection item, and the inspection results are annotated on the bridge structure diagram.

[0163] In this embodiment, the second bridge structure inspection visualization annotation diagram refers to the result obtained by annotating the comprehensive inspection result in the bridge structure diagram, and the annotated data is the numerical value corresponding to each inspection item obtained by the comprehensive inspection.

[0164] In this embodiment, the same-position mapping comparison refers to performing a comparison process on the same position in the first bridge structure detection visualization annotation image and the second bridge structure detection visualization annotation image.

[0165] In this embodiment, the abnormal structure refers to a bridge structure having inconsistent detection results obtained after the first bridge structure detection visualization annotation image and the second bridge structure detection visualization annotation image are mapped and compared at the same position.

[0166] In this embodiment, the distribution characteristic difference refers to the distribution of abnormal structures in the bridge structure obtained by same-position mapping comparison.

[0167] In this embodiment, the abnormal feature difference refers to the specific different degree of the existence of the abnormal structure when comparing the independent detection result and the comprehensive detection result.

[0168] In this embodiment, the preset threshold is set in advance.

[0169] In this embodiment, the evaluation index system is trained in advance and is used to conduct a comprehensive analysis of the detection results of the bridge structure data to determine the mechanism for the final state of the bridge structure. For example, the weight of each detection dimension can be determined separately, and the result is obtained by averaging the weight and the structural detection results corresponding to each detection dimension. The larger the value, the more stable the structural state of the bridge structure.

[0170] In this embodiment, the active upload permission refers to enabling the staff terminal to upload data to the analysis terminal, that is, being able to receive the re-detection data of the abnormal structure data by the staff terminal in real time.

[0171] In this embodiment, the re-collected data refers to data obtained after re-collecting the abnormal structure.

[0172] The working principle and beneficial effects of the above technical solution are: by comparing and analyzing the independent test results and the comprehensive test results, the abnormal structure in the bridge structure can be effectively determined. At the same time, when there is no abnormal structure, the test results are analyzed according to the evaluation index system to calmly obtain the structural state of the bridge, thereby ensuring the reliability of the final structural state. At the same time, when there is an abnormal structure, the data of the abnormal structure is re-collected and analyzed, thereby ensuring the reliability of the final structural state of the bridge structure.

[0173] Embodiment 9:

[0174] Based on Example 1, this embodiment provides a multi-dimensional bridge structure detection system and a management module, including:

[0175] Report generation unit for:

[0176] Create data record reports and extract time parameters corresponding to evaluation results;

[0177] Obtain report record items based on time parameters and evaluation results, and divide data record reports into regions based on the report record items;

[0178] Based on the regional division results, the report record items are recorded in the data record report to obtain the corresponding bridge structure inspection report;

[0179] The notification unit is used to transmit the bridge structure inspection report to the management terminal for visual notification.

[0180] In this embodiment, the time parameter refers to the specific time information corresponding to the evaluation result.

[0181] In this embodiment, the report record items refer to data items that need to be recorded in the data record report.

[0182] The working principle and beneficial effects of the above technical solution are: by creating a data recording report and recording the time parameters and specific results corresponding to the evaluation results in the data recording report, the bridge structure inspection results can be effectively recorded and preserved, making it convenient for management personnel to effectively understand the inspection results of the bridge structure.

[0183] Embodiment 10:

[0184] This embodiment provides a multi-dimensional bridge structure detection method, such as Figure 3 As shown, including:

[0185] Step 1: Determine the inspection dimensions of the bridge structure based on the inspection requirements, and collect the bridge structure data corresponding to each inspection dimension;

[0186] Step 2: Analyze the bridge structure data corresponding to each detection dimension respectively to determine the independent detection result of the bridge structure under each detection dimension. At the same time, perform multi-source fusion on the bridge structure data corresponding to each detection dimension based on the detection dimension, analyze the multi-source fusion results, and determine the comprehensive detection result of the bridge structure.

[0187] Step 3: Evaluate the structural status of the bridge based on the independent test results and the comprehensive test results, and generate a bridge structure inspection report based on the evaluation results.

[0188] The working principle and beneficial effects of the above technical solution are: by effectively determining the inspection dimension of the bridge structure according to the inspection requirements, it is convenient to carry out comprehensive and effective inspection of the bridge structure according to the inspection dimension, ensuring the comprehensiveness of the obtained bridge structure data, and providing reliable data support for bridge structure inspection. Secondly, by conducting separate analysis and multi-source fusion analysis on the bridge structure data corresponding to each inspection dimension, effective inspection of the bridge structure can be achieved from two aspects. Finally, by comparing and analyzing the independent inspection results and the comprehensive inspection results to evaluate the bridge, the effective determination of the bridge structure status can be achieved, and a corresponding bridge structure inspection report can be generated, which is convenient for effective understanding of the inspection results, can monitor and analyze various key parameters in real time, and promptly discover potential structural defects and hidden dangers, providing a scientific basis for the maintenance and management of the bridge.

[0189] 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 multi-dimensional bridge structure detection system, characterized in that: include: A data acquisition module, used to determine the inspection dimension of the bridge structure based on the inspection requirements, and to collect bridge structure data corresponding to each inspection dimension; The structural detection module is used to analyze the bridge structure data corresponding to each detection dimension respectively, determine the independent detection result corresponding to the bridge structure under each detection dimension, and at the same time, perform multi-source fusion on the bridge structure data corresponding to each detection dimension based on the detection dimension, and analyze the multi-source fusion results to determine the comprehensive detection result of the bridge structure; The management module is used to evaluate the structural status of the bridge based on the independent test results and the comprehensive test results, and to generate a bridge structure test report based on the evaluation results.

2. A multi-dimensional bridge structure detection system according to claim 1, characterized in that: Data acquisition module, including: A requirement parsing unit is used to obtain the inspection requirements based on the management terminal, and parse the inspection requirements to determine the inspection purpose of the bridge structure; Dimensioning unit for: Matching a corresponding inspection item set from preset bridge structure inspection items based on the inspection purpose, and extracting basic information of each inspection item in the inspection item set; The basic information of each inspection item is associated with the inspection purpose, and the inspection dimension of the bridge structure is determined based on the association results.

3. A multi-dimensional bridge structure detection system according to claim 2, characterized in that: The detection dimensions include: bridge static load detection, bridge dynamic load detection, bridge displacement detection, bridge bearing capacity detection, structural linearity detection, verticality detection, cable tension detection, temperature detection, wind speed detection and prestressed duct grouting density detection.

4. A multi-dimensional bridge structure detection system according to claim 1, characterized in that: Data acquisition module, including: The acquisition preparation unit is used to obtain the bridge structure diagram of the bridge to be inspected based on the management terminal, and parse the bridge structure diagram based on the bridge structure knowledge graph to obtain a set of key inspection position points in each inspection dimension in the bridge structure; A deployment guidance unit, used to perform dimensional difference mapping of each key detection position point in the key detection position point set in the bridge structure diagram, and obtain a sensor deployment guidance diagram based on the dimensional difference mapping result; Data acquisition unit for: Provide deployment guidance for sensors of different detection dimensions based on the sensor deployment guidance diagram, and build a distributed control link between each sensor and the management terminal based on the deployment guidance structure; Based on the distributed control link, the management terminal issues data collection instructions to each sensor, and collects real-time data of the bridge structure based on the published results to obtain the bridge structure data corresponding to each detection dimension.

5. A multi-dimensional bridge structure detection system according to claim 4, characterized in that: Data acquisition unit, including: Data collection configuration subunit, used for: Analyze the testing requirements and determine the data collection frequency corresponding to different testing dimensions based on the analysis results; Add periodic timestamps to data collection instructions of different detection dimensions based on the data collection frequency, and periodically generate data collection instructions based on the added results; The instruction sending subunit is used to send the periodically generated data acquisition instructions to the corresponding sensors based on the distributed control link, and receive the real-time data of the bridge structure fed back by the corresponding sensors in real time according to the distributed control link based on the sending result; The data storage subunit is used to classify and store the received real-time data of the bridge structure based on the dimensional information of the sensor.

6. A multi-dimensional bridge structure detection system according to claim 1, characterized in that: Structural detection module, including: A data retrieval unit, used to extract the dimension identifier of each detection dimension, and access a preset database based on the dimension identifier to obtain historical detection data corresponding to each detection dimension; Policy Development Unit, which is used to: Split the data subject and the test results in the historical test data corresponding to each test dimension, and arrange the data subject and the test results in sequence according to the time series based on the split results; Based on the results of sequential arrangement, the variation characteristics of the detection results along with the data subject are obtained, and the relationship function between the data subject and the detection results is determined based on the variation characteristics; The detection unit is used to obtain the bridge structure data corresponding to each detection dimension, and analyze the bridge structure data corresponding to each detection dimension based on the relationship function to obtain the independent detection result corresponding to the bridge structure in each detection dimension.

7. The multi-dimensional bridge structure detection system according to claim 1, characterized in that: Structural detection module, including: Data verification unit, used for: The bridge structure data corresponding to each detection dimension is obtained, and at the same time, the relationship topology structure between different detection dimensions is determined based on the preset bridge structure detection system; Determine the association relationship between different detection dimensions based on the relationship topology, and divide the bridge structure data corresponding to each detection dimension into groups based on the association relationship, wherein each group contains bridge structure data corresponding to three detection dimensions; Based on the group division results, the bridge structure data corresponding to the three detection dimensions in each group are sequentially subjected to single parameter correction comparison, and based on the single parameter correction comparison, the bridge structure data corresponding to the three detection dimensions in each group are respectively subjected to parameter correction; Data fusion unit for: The format of the bridge structure data of each detection dimension after parameter correction is unified, and the time series of the bridge structure data of each detection dimension is extracted; Determine the same analysis time starting point and the same analysis time ending point of the bridge structure data of different detection dimensions based on the time series, and perform time synchronization on the bridge structure data of different detection dimensions based on the same analysis time starting point and the same analysis time ending point; Based on the time synchronization result, the influence weight of each detection dimension is determined according to the relationship topological structure between different detection dimensions, and the bridge structure data of each detection dimension is weighted multi-source fused based on the influence weight and the relationship topological structure between different detection dimensions to obtain the multi-source fusion result; The comprehensive detection unit is used to analyze the multi-source fusion results based on a preset structural detection model and obtain a comprehensive detection result based on the analysis result.

8. The multi-dimensional bridge structure detection system according to claim 1, characterized in that: Management modules, including: Condition Assessment Unit for: Obtaining the obtained independent detection results and comprehensive detection results, and generating a first bridge structure detection visualization annotation diagram and a second bridge structure detection visualization annotation diagram based on the independent detection results and the comprehensive detection results respectively; Perform same-position mapping comparison on the first bridge structure inspection visualization annotation image and the second bridge structure inspection visualization annotation image, and determine the distribution characteristic difference of abnormal structures in the bridge structure and the abnormal characteristic difference of each abnormal structure based on the same-position mapping comparison result; When there is no distribution characteristic difference or the abnormal characteristic difference of the abnormal structure does not exceed the preset threshold, an evaluation index system for the bridge structure is obtained, and based on the evaluation index system, the annotation parameters in the first bridge structure detection visualization annotation map and the second bridge structure detection visualization annotation map are analyzed to obtain the structural state of the bridge; When there is a distribution feature difference or an abnormal feature difference of an abnormal structure exceeds a preset threshold, the abnormal structure is locked; Parameter update unit, used to: Send a verification notification to the staff terminal based on the locking result, and enable active upload permission for the staff terminal; Based on the activation results, the re-collected data sent by the staff terminal is monitored in real time, and the abnormal structure is re-checked based on the re-collected data; The re-inspection results are used as standard results to update the first bridge structure inspection visualization annotation diagram and the second bridge structure inspection visualization annotation diagram, and the structural status of the bridge is evaluated based on the updated results.

9. The multi-dimensional bridge structure detection system according to claim 1, characterized in that: Management modules, including: Report generation unit for: Create data record reports and extract time parameters corresponding to evaluation results; Obtain report record items based on time parameters and evaluation results, and divide data record reports into regions based on the report record items; Based on the regional division results, the report record items are recorded in the data record report to obtain the corresponding bridge structure inspection report; The notification unit is used to transmit the bridge structure inspection report to the management terminal for visual notification.

10. A multi-dimensional bridge structure detection method, characterized in that: include: Step 1: Determine the inspection dimensions of the bridge structure based on the inspection requirements, and collect the bridge structure data corresponding to each inspection dimension; Step 2: Analyze the bridge structure data corresponding to each detection dimension respectively to determine the independent detection result of the bridge structure under each detection dimension. At the same time, perform multi-source fusion on the bridge structure data corresponding to each detection dimension based on the detection dimension, analyze the multi-source fusion results, and determine the comprehensive detection result of the bridge structure. Step 3: Evaluate the structural status of the bridge based on the independent test results and the comprehensive test results, and generate a bridge structure inspection report based on the evaluation results.

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