Bridge engineering inspection batch data filling and reporting method and system based on BIM model

Abstract

The invention relates to the technical field of bridge engineering, in particular to a BIM model-based bridge engineering inspection batch data filling method and system, and the method comprises the following steps: obtaining standard inspection data of detection nodes in a BIM model based on the BIM model of bridge engineering, and obtaining actually measured inspection data; analyzing the standard test data and the actual test data to obtain a data complete value and a data accurate value; processing and analyzing based on the data integrity value and the data accuracy value to obtain a batch filling reasonable value; comparing the batch filling reasonable value with a batch filling reasonable threshold value to generate a batch filling signal; based on the batch filling signal, obtaining inspection data of each actual measurement, constructing a set, performing tracing analysis to obtain a tracing value, and completing pre-batch filling work according to the tracing value; according to the invention, automatic pairing of batch data according to the set detection nodes is realized, and automatic filling work is completed.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge engineering, and in particular to a method and system for reporting batch data of bridge engineering inspection based on a BIM model. Background Art

[0002] The method and system for filling in batch data of bridge engineering inspection based on BIM (Building Information Modeling) model mainly integrates the advantages of BIM technology, and improves the accuracy and efficiency of filling in batch data of bridge engineering inspection through three-dimensional modeling, information integration and visualization.

[0003] In the prior art, a large amount of inspection data will be obtained during the inspection of bridge projects. Currently, in the process of reporting a large amount of inspection data, technical personnel are required to pre-classify the data according to the characteristics of the data, such as bridge structure, data unit, etc., and then search for the relevant filling columns one by one and fill them out one by one. This reporting work has the problems of slow data reporting and high reporting error rate. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for reporting batch data of bridge engineering inspection based on BIM model. The technical problem solved by the present invention is: in the current process of reporting a large amount of inspection data, technical personnel are required to pre-classify the data according to the characteristics of the data, such as bridge structure, data unit, etc., and then search for the relevant filling columns one by one and fill them one by one. This reporting work has the problems of slow data reporting and high reporting error rate.

[0005] The purpose of the present invention can be achieved through the following technical solutions: The method for filling in batch data of bridge engineering inspection based on BIM model includes the following steps: Step 1: Based on the BIM model of the bridge project, obtain the standard inspection data of the inspection nodes in the BIM model, and obtain the inspection data of the actual measurement; Step 2: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and data accuracy value; Step 3: Based on the data completeness value and the data accuracy value, process and analyze to obtain a reasonable value for batch reporting; compare the reasonable value for batch reporting with a reasonable threshold for batch reporting to generate a signal for whether to report in batches; Step 4: Based on the batch reporting signal, obtain the inspection data of each actual measurement, build a set, perform traceability analysis, obtain the traceability value, and complete the pre-batch reporting work according to the traceability value.

[0006] As a further solution of the present invention: in step 1, in the created BIM model of the bridge project, a plurality of detection nodes and standard inspection data of each detection node are pre-set; Then obtain the actual measured inspection data obtained by the technicians during the survey on the actual bridge and mark it as the actual inspection data.

[0007] As a further solution of the present invention: in step 2, the data integrity value analysis process is: The number of actual test data is obtained, and the difference between the number of actual test data and the number of detection nodes is calculated to obtain the data integrity value.

[0008] As a further solution of the present invention: in step 2, the data accuracy value analysis process is: Calculate the difference between the actual test sum value and the standard test sum value to obtain the test actual standard sum difference value; Calculate the difference between the actual inspection range value and the standard inspection range value to obtain the inspection actual standard range difference; Then add the difference between the actual inspection standard and the difference between the actual inspection standard range to obtain the accurate value of the data.

[0009] As a further solution of the present invention: extracting specific values ​​of all actual inspection data, marking them as actual inspection values, and summing up all actual inspection values ​​to obtain an actual inspection sum value; Also, obtain the maximum value and the minimum value of all actual inspection values, and mark them as the actual inspection maximum value and all actual inspection minimum values ​​respectively, calculate the difference between the actual inspection maximum value and all actual inspection minimum values, and obtain the actual inspection range value.

[0010] As a further solution of the present invention: extracting specific values ​​of all standard inspection data, marking them as standard inspection values, and summing up all standard inspection values ​​to obtain a standard inspection sum value; Also, obtain the maximum value and the minimum value of all standard inspection values, and mark them as the standard inspection maximum value and all standard inspection minimum values ​​respectively, calculate the difference between the standard inspection maximum value and all standard inspection minimum values, and obtain the standard inspection range value.

[0011] As a further solution of the present invention: in step 3, the batch reporting reasonable value ZHP is calculated by the formula; wherein a1 and a2 are weight ratio coefficients, ZSW is the data complete value, and ZSZ is the data accurate value; If the batch reporting reasonable value is greater than or equal to the batch reporting reasonable threshold, a batch non-reporting signal is generated; If the batch reporting reasonable value is less than the batch reporting reasonable threshold, a batch reporting signal is generated.

[0012] As a further solution of the present invention: in step 4, when a batch reporting signal is obtained, all the actual measured test data are obtained, and a measured test data set A{a1, a2, a3, ..., an} is constructed; wherein an represents the test value of the nth actual measurement; Obtain the inspection data of different detection nodes in the historical time, and construct the historical inspection data set p1{p1, p2, p3, ..., pi}, the historical inspection data set p2{p1, p2, p3, ..., pi}, ..., the historical inspection data set pm{p1, p2, p3, ..., ai}; m represents the number of detection nodes, and i represents the number of times the detection node reports data in the historical time; Compare and analyze the measured test data set A with the historical test data sets p1, p2...pm respectively to obtain the traceability number ratio and traceability proximity ratio; sum the traceability number ratio and the traceability proximity ratio to obtain the traceability value of each historical test data set; fill the subset in the measured test data set into the detection node corresponding to the traceability maximum value.

[0013] As a further solution of the present invention: the number of similar an in the historical test data set pm is counted and marked as the traceability number; the traceability number is processed by ratio processing with the number in the historical test data set pm to obtain the traceability number ratio; The mode value in the statistical historical test data set pm is calculated, and the difference between an in the measured test data set A and the mode value is calculated to obtain the traceability deviation value; the ratio of the traceability deviation value to the mode value is calculated to obtain the traceability proximity ratio.

[0014] A system for filling in batch data of bridge engineering inspection based on BIM model, the system includes: Acquisition module: Based on the BIM model of the bridge project, obtain the standard inspection data of the inspection nodes in the BIM model, and obtain the inspection data of the actual measurement; Analysis module: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and data accuracy value; Judgment module: Based on the data completeness value and data accuracy value, it processes and analyzes to obtain the reasonable value for batch reporting; compares the reasonable value for batch reporting with the reasonable threshold for batch reporting to generate a signal on whether to report in batch; Reporting module: Based on the batch reporting signal, obtain the inspection data of each actual measurement, build a set, perform traceability analysis, obtain the traceability value, and complete the pre-batch reporting work according to the traceability value.

[0015] Beneficial effects of the present invention: (1) Based on the BIM model of the bridge project, the present invention obtains the standard inspection data of the detection nodes in the BIM model and the inspection data of the actual measurement; analyzes the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value; processes and analyzes the data integrity value and the data accuracy value to obtain the reasonable value for batch reporting; compares the reasonable value for batch reporting with the reasonable threshold for batch reporting to generate a signal for batch reporting; the present invention analyzes the actual inspection data and the standard inspection data in terms of quantity and value, and analyzes the actual inspection data in terms of integrity and accuracy, so as to accurately analyze whether the data obtained from the bridge project inspection can be batch reported from both qualitative and quantitative perspectives; (2) Based on the batch reporting signal, the present invention obtains the inspection data of each actual measurement, constructs a set, performs traceability analysis, obtains the traceability value, and completes the pre-batch reporting according to the traceability value; while analyzing the integrity and accuracy of the batch inspection data obtained by the actual measurement, the present invention performs a traceability matching analysis on the current data and the historical experience data, and can determine the orderliness of the batch inspection data obtained by the actual measurement during the batch reporting process, thereby realizing automatic pairing of the batch data according to the set detection nodes and completing the automatic reporting work. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 is a flowchart of Embodiment 1 of the present invention; Figure 2 is a flowchart of Embodiment 2 of the present invention; Figure 3 It is a system block diagram of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0019] See also Figure 1 As shown, the present invention is a method for filling in batch data of bridge engineering inspection based on BIM model, comprising the following steps: Step 1: Based on the BIM model of the bridge project, obtain the standard inspection data of the inspection nodes in the BIM model, and obtain the inspection data of the actual measurement; In some embodiments, initialization bridge parameters are set and basic models of the main tower, bridge deck, pile foundation, hanger, cap beam and bridge cable are stored; Establishing a three-dimensional spatial coordinate system with the bisector of the main tower and the bridge deck center, obtaining the spatial coordinates of the main tower according to the initialization bridge parameters, and obtaining the spatial coordinates of the intersection of the bridge deck and the main tower; Create a BIM three-dimensional spatial structural model of each structural unit including the main tower model, bridge cable model and pile foundation model; Combine the BIM three-dimensional spatial structure models of each structural unit to complete the creation of the bridge BIM model; In the created BIM model of the bridge project, multiple inspection nodes and standard inspection data for each inspection node are pre-set; Then, the actual measured inspection data obtained by the technicians during the survey on the actual bridge is obtained and marked as the actual inspection data; Step 2: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and data accuracy value; In some implementation schemes, the number of tested data is first analyzed, and the specific process is as follows: Obtain the number of actual inspection data, perform difference calculation between the number of actual inspection data and the number of detection nodes, and obtain the data integrity value; Then analyze the values ​​of the tested data. The specific process is as follows: Extract the specific values ​​of all actual inspection data, mark them as actual inspection values, and sum up all the actual inspection values ​​to obtain the actual inspection sum value; And, obtaining the maximum value and the minimum value of all the actual inspection values, and marking them as the actual inspection maximum value and all the actual inspection minimum values ​​respectively, performing a difference calculation between the actual inspection maximum value and all the actual inspection minimum values, and obtaining the actual inspection range value; Similarly, the specific values ​​of all standard inspection data are extracted and marked as standard inspection values, and all standard inspection values ​​are summed up to obtain the standard inspection sum value; And, obtaining the maximum value and the minimum value of all standard inspection values, and marking them as the standard inspection maximum value and all standard inspection minimum values ​​respectively, performing a difference calculation between the standard inspection maximum value and all standard inspection minimum values, and obtaining a standard inspection range value; Calculate the difference between the actual test sum value and the standard test sum value to obtain the test actual standard sum difference value; Calculate the difference between the actual inspection range value and the standard inspection range value to obtain the inspection actual standard range difference; Then add the difference between the actual inspection standard and the difference between the actual inspection standard range to obtain the accurate value of the data; It should be explained that the data integrity value is calculated by comparing the number of data obtained from the actual inspection with the number of data that should be obtained from the standard inspection. That is, the smaller the data integrity value is, the more reasonable the number of data obtained from the actual inspection and the standard inspection is. There will not be a large amount of missing data when reporting inspection data in batches, which will result in the inability to complete the reporting work correctly. The data accuracy value is obtained by comparing the sum and range values ​​obtained by the actual test with the sum and range values ​​that should be obtained by the standard test. That is, the smaller the data accuracy value is, the more reasonable the data values ​​of the actual test and the standard test are, and the possibility of a large error between the value obtained by the actual test and the standard value is low; Step 3: Based on the data completeness value and the data accuracy value, process and analyze to obtain a reasonable value for batch reporting; compare the reasonable value for batch reporting with a reasonable threshold for batch reporting to generate a signal for whether to report in batches; In some embodiments, the data integrity value and the data accuracy value are obtained and marked as ZSW and ZSZ respectively, and the formula , calculate the reasonable value ZHP for batch reporting; among them, a1 and a2 are weight ratio coefficients, a1+a2=1, a1 is 0.61, a2 is 0.49, and the values ​​of a1 and a2 represent the influence of the data completeness value and the data accuracy value on the reasonable value of batch reporting respectively; Compare the batch filling reasonable value with the batch filling reasonable threshold; If the batch reporting reasonable value is greater than or equal to the batch reporting reasonable threshold, it means that there is a large error in quantity and value between the current actual inspection data and the standard inspection data, and a batch non-reporting signal is generated; If the batch reporting reasonable value is less than the batch reporting reasonable threshold, it means that there is a small error in quantity and value between the current actual inspection data and the standard inspection data, and a batch reporting signal is generated; The technical solution of the embodiment of the present invention is as follows: based on the BIM model of the bridge project, standard inspection data of the detection nodes in the BIM model are obtained, and the inspection data of the actual measurement are obtained; the standard inspection data and the actual inspection data are analyzed to obtain the data integrity value and the data accuracy value; based on the data integrity value and the data accuracy value, processing and analysis are performed to obtain a reasonable value for batch reporting; the reasonable value for batch reporting is compared with a reasonable threshold for batch reporting, and a signal for whether batch reporting is to be generated; the present invention analyzes the actual inspection data and the standard inspection data in terms of quantity and value, and analyzes the actual inspection data from the perspective of completeness and accuracy, so as to achieve accurate analysis of whether the data obtained from the bridge project inspection can be reported in batches from both qualitative and quantitative perspectives. Example 2

[0020] See also Figure 2As shown, the present invention is a method for filling in batch data of bridge engineering inspection based on the BIM model, which also includes the following steps: Step 4: Based on the batch reporting signal, obtain the inspection data of each actual measurement, build a set, perform traceability analysis, obtain the traceability value, and complete the pre-batch reporting work according to the traceability value; In some implementation schemes, when a batch reporting signal is obtained, all actually measured test data are obtained, and a measured test data set A{a1, a2, a3, ..., an} is constructed; wherein an represents the test value of the nth actually measured value; Obtain the inspection data of different detection nodes in the historical time, and construct the historical inspection data set p1{p1, p2, p3, ..., pi}, the historical inspection data set p2{p1, p2, p3, ..., pi}, ..., the historical inspection data set pm{p1, p2, p3, ..., ai}; m represents the number of detection nodes, and i represents the number of times the detection node reports data in the historical time; Compare and analyze the measured test data set A with the historical test data sets p1, p2...pm respectively to obtain the traceability number ratio and traceability proximity ratio; sum the traceability number ratio and traceability proximity ratio to obtain the traceability value of each historical test data set; report the subset in the measured test data set to the detection node corresponding to the maximum traceability value; Specifically: compare an in the measured test data set A with the historical test data set pm; Count the number of similar an in the historical test data set pm (the similarity judgment rule is: calculate the difference between an and each subset in the historical test data set pm to obtain the test deviation value. If the test deviation value is less than the preset standard value, it means that an is similar to the subset, otherwise, it is not similar), and mark it as the traceability number; perform ratio processing on the traceability number and the number in the historical test data set pm to obtain the traceability number ratio; Count the mode values ​​in the historical test data set pm, calculate the difference between an in the measured test data set A and the mode value, and obtain the traceability deviation value; calculate the ratio of the traceability deviation value to the mode value to obtain the traceability proximity ratio; Match an with the maximum traceability value of the historical inspection data set, and fill an in the detection node corresponding to the maximum traceability value; Furthermore, all subsets in the measured test data set A are analyzed according to the above-mentioned traceability, and the detection nodes matched to the data reporting are obtained, and then proofread according to the batch reported data to determine whether the test data filling is accurate. The proofreading method can be preliminarily evaluated by using the above-mentioned similar judgment rules; The technical solution of the embodiment of the present invention is as follows: based on the batch reporting signal, each actual measured inspection data is obtained, a set is constructed, a traceability analysis is performed, a traceability value is obtained, and the pre-batch reporting is completed according to the traceability value; the present invention performs a traceability matching analysis on the current data and the historical experience data while performing a completeness and accuracy analysis on the batch inspection data obtained by the actual measurement, so as to determine the orderliness of the batch inspection data obtained by the actual measurement during the batch reporting process, realize automatic pairing of the batch data according to the set detection nodes, and complete the automatic reporting work. Example 3

[0021] See also Figure 3 As shown, the present invention is a system for filling in batch data of bridge engineering inspection based on a BIM model, comprising: Acquisition module: Based on the BIM model of the bridge project, obtain the standard inspection data of the inspection nodes in the BIM model, and obtain the inspection data of the actual measurement; Analysis module: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and data accuracy value; Judgment module: Based on the data completeness value and data accuracy value, it processes and analyzes to obtain the reasonable value for batch reporting; compares the reasonable value for batch reporting with the reasonable threshold for batch reporting to generate a signal on whether to report in batch; Reporting module: Based on the batch reporting signal, obtain the inspection data of each actual measurement, build a set, perform traceability analysis, obtain the traceability value, and complete the pre-batch reporting work according to the traceability value.

[0022] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0023] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for reporting batch data of bridge engineering inspection based on BIM model, characterized in that: The following steps are involved: Step 1: Based on the BIM model of the bridge project, obtain the standard inspection data of the inspection nodes in the BIM model, and obtain the inspection data of the actual measurement; Step 2: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and data accuracy value; Step 3: Based on the data completeness value and the data accuracy value, process and analyze to obtain a reasonable value for batch reporting; compare the reasonable value for batch reporting with a reasonable threshold for batch reporting to generate a signal for whether to report in batches; Step 4: Based on the batch reporting signal, obtain the inspection data of each actual measurement, build a set, perform traceability analysis, obtain the traceability value, and complete the pre-batch reporting work according to the traceability value.

2. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 1 is characterized in that: In step 1, in the created BIM model of the bridge project, multiple detection nodes and standard inspection data of each detection node are pre-set; Then obtain the actual measured inspection data obtained by the technicians during the survey on the actual bridge and mark it as the actual inspection data.

3. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 1 is characterized in that: In step 2, the data integrity value analysis process is: The number of actual test data is obtained, and the difference between the number of actual test data and the number of detection nodes is calculated to obtain the data integrity value.

4. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 1 is characterized in that: In step 2, the data accuracy analysis process is: Calculate the difference between the actual test sum value and the standard test sum value to obtain the test actual standard sum difference value; Calculate the difference between the actual inspection range value and the standard inspection range value to obtain the inspection actual standard range difference; Then add the difference between the actual inspection standard and the difference between the actual inspection standard range to obtain the accurate value of the data.

5. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 4 is characterized in that: Extract the specific values ​​of all actual inspection data, mark them as actual inspection values, and sum up all the actual inspection values ​​to obtain the actual inspection sum value; Also, obtain the maximum value and the minimum value of all actual inspection values, and mark them as the actual inspection maximum value and all actual inspection minimum values ​​respectively, calculate the difference between the actual inspection maximum value and all actual inspection minimum values, and obtain the actual inspection range value.

6. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 5 is characterized in that: Extract the specific values ​​of all standard inspection data, mark them as standard inspection values, and sum up all the standard inspection values ​​to obtain the standard inspection sum value; Also, obtain the maximum value and the minimum value of all standard inspection values, and mark them as the standard inspection maximum value and all standard inspection minimum values ​​respectively, calculate the difference between the standard inspection maximum value and all standard inspection minimum values, and obtain the standard inspection range value.

7. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 1 is characterized in that: In step 3, the reasonable value ZHP for batch reporting is calculated by the formula ZHP=a1*ZSW+a2*ZSZ; where a1 and a2 are weight ratio coefficients, ZSW is the data complete value, and ZSZ is the data accurate value; If the batch reporting reasonable value is greater than or equal to the batch reporting reasonable threshold, a batch non-reporting signal is generated; If the batch reporting reasonable value is less than the batch reporting reasonable threshold, a batch reporting signal is generated.

8. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 1 is characterized in that: In step 4, when a batch reporting signal is obtained, all the actual measured test data are obtained, and a measured test data set A{a1, a2, a3, ..., an} is constructed; wherein an represents the test value of the nth actual measurement; Obtain the inspection data of different detection nodes in the historical time, and construct the historical inspection data set p1{p1, p2, p3, ..., pi}, the historical inspection data set p2{p1, p2, p3, ..., pi}, ..., the historical inspection data set pm{p1, p2, p3, ..., ai}; m represents the number of detection nodes, and i represents the number of times the detection node reports data in the historical time; Compare and analyze the measured test data set A with the historical test data sets p1, p2...pm respectively to obtain the traceability number ratio and traceability proximity ratio; sum the traceability number ratio and the traceability proximity ratio to obtain the traceability value of each historical test data set; fill the subset in the measured test data set into the detection node corresponding to the traceability maximum value.

9. The method for filling in batch data of bridge engineering inspection based on BIM model according to claim 8 is characterized in that: Count the number of similar an in the historical test data set pm, and mark it as the traceability number; perform ratio processing on the traceability number and the number in the historical test data set pm to obtain the traceability number ratio; The mode value in the statistical historical test data set pm is calculated, and the difference between an in the measured test data set A and the mode value is calculated to obtain the traceability deviation value; the ratio of the traceability deviation value to the mode value is calculated to obtain the traceability proximity ratio.

10. The system for filling in batch data of bridge engineering inspection based on BIM model is characterized by: The system is used to execute the method described in any one of claims 1 to 9, and the system comprises: Acquisition module: Based on the BIM model of the bridge project, obtain the standard inspection data of the inspection nodes in the BIM model, and obtain the inspection data of the actual measurement; Analysis module: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and data accuracy value; Judgment module: Based on the data completeness value and data accuracy value, it processes and analyzes to obtain the reasonable value for batch reporting; compares the reasonable value for batch reporting with the reasonable threshold for batch reporting to generate a signal on whether to report in batch; Reporting module: Based on the batch reporting signal, obtain the inspection data of each actual measurement, build a set, perform traceability analysis, obtain the traceability value, and complete the pre-batch reporting work according to the traceability value.

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