Method and system for filling in batch data of bridge engineering inspection based on BIM model

Through the BIM model-based bridge engineering inspection data filling method, using standard and actual data analysis, the batch filling reasonable values and traceability values are calculated, and the problems of slow filling speed and high error rate in the existing technology are solved, and automated and accurate data filling is realized.

CN119168562BActive Publication Date: 2025-07-11JIANGXI UNIV OF SCI & TECH
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202411075633.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-07
Publication Date
2025-07-11
Estimated Expiration
2044-08-07

AI Technical Summary

Technical Problem

In the process of filling out bridge engineering inspection data in the prior art, technicians are required to pre-classify and search and fill in according to the data characteristics, resulting in slow filling speed and high error rate.

Method used

Based on the BIM model, by obtaining the standard inspection data and actual measurement data of the detection node, analyzing the complete and accurate values of the data, calculating reasonable values for batch filling, and completing automatic filling based on the batch filling signal and traceability value.

Benefits of technology

Accurate analysis and automatic filling of bridge engineering inspection data is realized, the filling efficiency and accuracy are improved, and data integrity and accuracy are ensured.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119168562B_ABST
    Figure CN119168562B_ABST
Patent Text Reader

Abstract

The present invention relates to the technical field of bridge engineering, and specifically relates to a method and system for batch data filling in bridge engineering inspection based on a BIM model, including the following steps: Based on the BIM model of the bridge engineering, obtain the standard inspection data of the inspection nodes in the BIM model, and obtain the actually measured inspection data; Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value; Based on the data integrity value and the data accuracy value, perform processing and analysis to obtain the reasonable value for batch filling; Compare the reasonable value for batch filling with the reasonable threshold for batch filling to generate a signal indicating whether to fill in batches; Based on the signal indicating whether to fill in batches, obtain each actually measured inspection data, construct a set, perform traceability analysis to obtain the traceability value, and complete the pre-batch filling work according to the traceability value; The present invention realizes the automatic pairing of batch data according to the set inspection nodes and completes the automatic filling work.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

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

[0002] The method and system for batch data filling of bridge engineering inspection based on a BIM (Building Information Modeling) model mainly integrate the advantages of BIM technology. Through means such as three-dimensional modeling, information integration, and visualization, the accuracy and efficiency of batch data filling for bridge engineering inspection are improved.

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

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

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The method for batch data filling of bridge engineering inspection based on a BIM model includes the following steps:

[0007] Step 1: Based on the BIM model of bridge engineering, obtain the standard inspection data of the detection nodes in the BIM model and obtain the actually measured inspection data;

[0008] Step 2: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value;

[0009] Step 3: Based on the data integrity value and the data accuracy value, perform processing and analysis to obtain the reasonable value for batch filling; compare the reasonable value for batch filling with the reasonable threshold for batch filling to generate a signal indicating whether to fill in batches;

[0010] Step 4: Based on the batch filling signal, obtain each actually measured inspection data, construct a set, conduct traceability analysis to obtain a traceability value, and complete the pre-batch filling work according to the traceability value.

[0011] As a further solution of the present invention: In step 1, in the BIM model of the created bridge project, a plurality of detection nodes and the standard inspection data of each detection node are preset;

[0012] Then obtain the actually measured inspection data obtained by the technician during the inspection of the actual bridge, and mark it as the actual inspection data.

[0013] As a further solution of the present invention: In step 2, the data integrity value analysis process is as follows:

[0014] Obtain the number of actual inspection data, calculate the difference between the number of actual inspection data and the number of detection nodes to obtain the data integrity value.

[0015] As a further solution of the present invention: In step 2, the data accuracy value analysis process is as follows:

[0016] Calculate the difference between the actual inspection sum value and the standard inspection sum value to obtain the inspection actual-standard sum difference;

[0017] Calculate the difference between the actual inspection range value and the standard inspection range value to obtain the inspection actual-standard range difference;

[0018] Then add the inspection actual-standard sum difference and the inspection actual-standard range difference to obtain the data accuracy value.

[0019] As a further solution of the present invention: Extract the specific values of all actual inspection data, mark them as actual inspection values, calculate the sum of all actual inspection values to obtain the actual inspection sum value;

[0020] And, obtain the maximum value and the minimum value among all the actual inspection values, and mark them as the actual inspection maximum value and all the actual inspection minimum values respectively, calculate the difference between the actual inspection maximum value and all the actual inspection minimum values to obtain the actual inspection range value.

[0021] As a further solution of the present invention: Extract the specific values of all standard inspection data, mark them as standard inspection values, calculate the sum of all standard inspection values to obtain the standard inspection sum value;

[0022] And, obtain the maximum value and the minimum value among all the standard inspection values, and mark them as the standard inspection maximum value and all the standard inspection minimum values respectively, calculate the difference between the standard inspection maximum value and all the standard inspection minimum values to obtain the standard inspection range value.

[0023] As a further solution of the present invention: in step 3, through the formula, the reasonable value ZHP for batch filling is calculated; where a1 and a2 are both weight ratio coefficients, ZSW is the data integrity value, and ZSZ is the data accuracy value;

[0024] When the reasonable value for batch filling is greater than or equal to the reasonable threshold for batch filling, a batch non-filling signal is generated;

[0025] When the reasonable value for batch filling is less than the reasonable threshold for batch filling, a batch filling signal is generated.

[0026] As a further solution of the present invention: in step 4, when the batch filling signal is obtained, all the actually measured inspection data are acquired, and a set A{a1, a2, a3,..., an} of actually measured inspection data is constructed; where an represents the nth actually measured inspection value;

[0027] The inspection data of different detection nodes within the historical time are acquired, and a set p1{p1, p2, p3,..., pi} of historical inspection data, a set p2{p1, p2, p3,..., pi} of historical inspection data,..., a set pm{p1, p2, p3,..., ai} of historical inspection data are constructed; m represents the number of detection nodes, and i represents the number of times the data is filled in by this detection node within the historical time;

[0028] The set A of actually measured inspection data is respectively compared and analyzed with the sets p1, p2...pm of historical inspection data to obtain the traceability number ratio and the traceability proximity ratio; the traceability number ratio and the traceability proximity ratio are summed up to calculate the traceability value of each set of historical inspection data; the subset within the set A of actually measured inspection data is filled in the detection node corresponding to the maximum traceability value.

[0029] As a further solution of the present invention: the number of occurrences of an similar to an in the set pm of historical inspection data is counted and marked as the traceability number; the traceability number is processed by taking the ratio with the number in the set pm of historical inspection data to obtain the traceability number ratio;

[0030] The mode value in the set pm of historical inspection data is counted, the difference between an in the set A of actually measured inspection data and the mode value is calculated to obtain the traceability deviation value; the traceability deviation value is calculated by taking the ratio with the mode value to obtain the traceability proximity ratio.

[0031] A system for batch data filling in the inspection of bridge engineering based on the BIM model, the system includes:

[0032] An acquisition module: based on the BIM model of the bridge engineering, the standard inspection data of the detection nodes in the BIM model are acquired, and the actually measured inspection data are acquired;

[0033] Analysis module: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value;

[0034] Judgment module: Based on the data integrity value and the data accuracy value, conduct processing and analysis to obtain the reasonable value for batch filling; Compare the reasonable value for batch filling with the reasonable threshold for batch filling to generate a signal indicating whether to fill in batches;

[0035] Filling module: Based on the signal indicating whether to fill in batches, obtain each actually measured inspection data, construct a set, conduct traceability analysis to obtain the traceability value, and complete the pre-batch filling work according to the traceability value.

[0036] Advantages of the present invention:

[0037] (1) Based on the BIM model of the bridge project, the present invention obtains the standard inspection data of the inspection nodes in the BIM model and the actually measured inspection data; Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value; Based on the data integrity value and the data accuracy value, conduct processing and analysis to obtain the reasonable value for batch filling; Compare the reasonable value for batch filling with the reasonable threshold for batch filling to generate a signal indicating whether to fill in batches; The present invention analyzes the actually inspected data and the standard inspected data in terms of quantity and value, and analyzes the actually inspected data from the aspects of integrity and accuracy, so as to realize the accurate analysis of whether the data obtained from the bridge project inspection can be filled in batches from both qualitative and quantitative perspectives;

[0038] (2) Based on the signal indicating whether to fill in batches, the present invention obtains each actually measured inspection data, constructs a set, conducts traceability analysis to obtain the traceability value, and completes the pre-batch filling according to the traceability value; Under the condition of analyzing the integrity and accuracy of the batch inspection data obtained from the actual measurement, the present invention conducts a traceability matching analysis between the current data and the historical experience data, and can determine the orderliness of the batch inspection data obtained from the actual measurement during the batch filling process, realizing the automatic pairing of the batch data according to the set inspection nodes and completing the automatic filling work. Description of the drawings

[0039] The present invention will be further described below with reference to the drawings.

[0040] Figure 1 is the flowchart of Embodiment 1 of the present invention;

[0041] Figure 2 is the flowchart of Embodiment 2 of the present invention;

[0042] Figure 3 is the system block diagram of Embodiment 3 of the present invention. Detailed implementation manners

[0043] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention. Embodiment 1

[0044] Please refer to Figure 1 As shown, the present invention is a method for batch data filling of bridge engineering inspection based on a BIM model, including the following steps:

[0045] 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 actually measured inspection data;

[0046] In some implementation schemes, initialize the bridge parameters and store the basic models of the main tower, bridge deck, pile foundation, suspender, cap beam, and bridge cable;

[0047] Establish a three-dimensional space coordinate system with the center bisector of the main tower and the bridge deck. Calculate and obtain the spatial coordinates of the main tower according to the initialized bridge parameters, and obtain the spatial coordinates of the intersection point of the bridge deck and the main tower;

[0048] Create a BIM three-dimensional space structure model of each structural unit including the main tower model, bridge cable model, and pile foundation model;

[0049] Combine the BIM three-dimensional space structure models of each structural unit to complete the creation of the bridge BIM model;

[0050] In the created BIM model of the bridge project, multiple inspection nodes and the standard inspection data of each inspection node are preset;

[0051] Then obtain the actually measured inspection data obtained by the technician's investigation of the actual bridge, and mark it as the actual inspection data;

[0052] Step 2: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value;

[0053] In some implementation schemes, first analyze the number of the inspected data, and the specific process is as follows:

[0054] Obtain the number of the actual inspection data, calculate the difference between the number of the actual inspection data and the number of the inspection nodes to obtain the data integrity value;

[0055] Then analyze the value of the inspected data, and the specific process is as follows:

[0056] Extract the specific values of all actual inspection data, mark them as actual inspection values, sum up all the actual inspection values to obtain the actual inspection sum value;

[0057] In addition, obtain the maximum and minimum values among all the actual inspection values, and mark them as the actual inspection maximum value and all the actual inspection minimum values respectively. Calculate the difference between the actual inspection maximum value and all the actual inspection minimum values to obtain the actual inspection range value;

[0058] Similarly, extract the specific values of all standard inspection data, mark them as standard inspection values, sum up all the standard inspection values to obtain the standard inspection sum value;

[0059] In addition, obtain the maximum and minimum values among all the standard inspection values, and mark them as the standard inspection maximum value and all the standard inspection minimum values respectively. Calculate the difference between the standard inspection maximum value and all the standard inspection minimum values to obtain the standard inspection range value;

[0060] Calculate the difference between the actual inspection sum value and the standard inspection sum value to obtain the actual-standard inspection sum difference;

[0061] Calculate the difference between the actual inspection range value and the standard inspection range value to obtain the actual-standard inspection range difference;

[0062] Then sum up the actual-standard inspection sum difference and the actual-standard inspection range difference to obtain the data accuracy value;

[0063] It should be explained that: The data integrity value is obtained 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, the more reasonable the number of data in the actual inspection and the standard inspection, and there will be no situation where a large number of data are missing when filling in the inspection data in batches, and the filling work cannot be completed correctly;

[0064] The data accuracy value is obtained by comparing the sum value and the range value obtained from the actual inspection with the sum value and the range value that should be obtained from the standard inspection respectively. That is, the smaller the data accuracy value, the more reasonable the data values in the actual inspection and the standard inspection, and the lower the possibility that the values obtained from the actual inspection have a large error compared with the standard values;

[0065] Step 3: Based on the data integrity value and the data accuracy value, perform processing and analysis to obtain the reasonable value for batch filling; Compare the reasonable value for batch filling with the reasonable threshold for batch filling to generate a signal indicating whether batch filling is required;

[0066] In some implementation schemes, obtain the data integrity value and the data accuracy value, and mark them as ZSW and ZSZ respectively. Through the formula , the reasonable value ZHP for batch filling is calculated; where a1 and a2 are both weight ratio coefficients, a1 + a2 = 1, a1 takes the value of 0.61, a2 takes the value of 0.49, and the magnitudes of the values of a1 and a2 represent the proportion of the influence of the data integrity value and the data accuracy value on the reasonable value of batch filling respectively;

[0067] Compare the reasonable value of batch filling with the reasonable threshold of batch filling;

[0068] If the reasonable value of batch filling is greater than or equal to the reasonable threshold of batch filling, it indicates that there are large errors in the quantity and value of the currently actual inspected data compared with the standard inspected data, and a signal of not filling in batches is generated;

[0069] If the reasonable value of batch filling is less than the reasonable threshold of batch filling, it indicates that there are small errors in the quantity and value of the currently actual inspected data compared with the standard inspected data, and a signal of filling in batches is generated;

[0070] The technical solution of the embodiment of the present invention: Based on the BIM model of the bridge project, obtain the standard inspection data of the inspection nodes in the BIM model and the actually measured inspection data; analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value; based on the data integrity value and the data accuracy value, perform processing and analysis to obtain the reasonable value of batch filling; compare the reasonable value of batch filling with the reasonable threshold of batch filling to generate a signal of whether to fill in batches; the present invention analyzes the actually inspected data and the standard inspected data in terms of quantity and value, and analyzes the actually inspected data from the aspects of integrity and accuracy, so as to realize the accurate analysis of whether the data obtained from the inspection of the bridge project can be filled in batches from both qualitative and quantitative perspectives. Embodiment 2

[0071] Please refer to Figure 2 As shown, the present invention is a method for batch data filling in the inspection of bridge projects based on the BIM model, and further includes the following steps:

[0072] Step 4: Based on the batch filling signal, obtain each actually measured inspection data, construct a set, perform traceability analysis to obtain the traceability value, and complete the pre-batch filling work according to the traceability value;

[0073] In some implementation schemes, when the batch filling signal is obtained, all actually measured inspection data are obtained, and a set A{a1, a2, a3,..., an} of actually measured inspection data is constructed; where an represents the nth actually measured inspection value;

[0074] Obtain the inspection data of different inspection nodes within the historical time, and construct historical inspection data sets p1{p1, p2, p3, ..., pi}, historical inspection data sets p2{p1, p2, p3, ..., pi}, ..., historical inspection data sets pm{p1, p2, p3, ..., ai}; m represents the number of inspection nodes, and i represents the number of times the data is filled in by this inspection node within the historical time;

[0075] Compare and analyze the measured inspection data set A with the historical inspection data sets p1, p2, ..., pm respectively to obtain the traceability number ratio and the traceability proximity ratio; perform a summation calculation on the traceability number ratio and the traceability proximity ratio to obtain the traceability value of each historical inspection data set; fill in the subsets in the measured inspection data set into the inspection node corresponding to the maximum traceability value;

[0076] Specifically: Compare an in the measured inspection data set A with the historical inspection data set pm;

[0077] Count the number of occurrences of an similar to an in the historical inspection data set pm (the judgment rule for similarity is: calculate the difference between an and each subset in the historical inspection data set pm to obtain the inspection deviation value. If the inspection deviation value is less than the preset standard value, it means that an is similar to this subset, otherwise, it is not similar), and mark it as the traceability number; perform a ratio process on the traceability number and the number in the historical inspection data set pm to obtain the traceability number ratio;

[0078] Count the mode value in the historical inspection data set pm, calculate the difference between an in the measured inspection data set A and the mode value to obtain the traceability deviation value; perform a ratio calculation on the traceability deviation value and the mode value to obtain the traceability proximity ratio;

[0079] Match an with the maximum traceability value of the historical inspection data set, and fill in an at the inspection node corresponding to the maximum traceability value;

[0080] Furthermore, perform the above traceability analysis on all subsets in the measured inspection data set A, and obtain the inspection nodes where the data is filled in after matching. Then, proofread according to the data after batch filling to judge whether the inspection data is filled in accurately. The proofreading method can be a preliminary evaluation using the above similar judgment rules;

[0081] Technical solution of the embodiment of the present invention: Based on the batch filling signal, obtain each actually measured inspection data, construct a set, conduct traceability analysis, obtain the traceability value, and complete the pre-batch filling according to the traceability value; when analyzing the integrity and accuracy of the batch inspection data obtained from actual measurement, the present invention conducts a traceability matching analysis between the current data and historical empirical data, and can determine the orderliness of the batch inspection data obtained from actual measurement during the batch filling process, realizing automatic pairing of the batch data according to the set detection nodes and completing the automatic filling work. Embodiment 3

[0082] Please refer to Figure 3 as shown in the figure, the present invention is a system for batch data filling of bridge engineering inspection based on a BIM model, including:

[0083] Collection module: Based on the BIM model of the bridge project, obtain the standard inspection data of the detection nodes in the BIM model and the actually measured inspection data;

[0084] Analysis module: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value;

[0085] Judgment module: Based on the data integrity value and the data accuracy value, conduct processing and analysis to obtain the reasonable value of batch filling; compare the reasonable value of batch filling with the reasonable threshold of batch filling to generate a signal indicating whether to fill in batches;

[0086] Filling module: Based on the batch filling signal, obtain each actually measured inspection data, construct a set, conduct traceability analysis, obtain the traceability value, and complete the pre-batch filling work according to the traceability value.

[0087] The above formulas are all dimensionless and take their numerical values for calculation. The formula is a formula obtained by software simulation of collecting a large amount of data to approximate the real situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation.

[0088] The above has described a detailed description of an embodiment of the present invention, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application should still fall within the scope covered by the patent of the present invention.

Claims

1. A method for filling in batch data for inspection of bridge engineering based on a BIM model, characterized in that, It 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 the actually measured inspection data. Step 2: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value. Step 3: Based on the data integrity value and the data accuracy value, conduct processing and analysis to obtain the reasonable value for batch filling; compare the reasonable value for batch filling with the reasonable threshold for batch filling to generate a signal indicating whether to fill in batches. Step 4: Based on the signal indicating whether to fill in batches, obtain each actually measured inspection data, construct a set, conduct traceability analysis to obtain the traceability value, and complete the pre-batch filling work according to the traceability value. Obtain all actually measured inspection data and construct the set A of actually measured inspection data. Obtain the inspection data of different inspection nodes within the historical time and construct the historical inspection data sets p1, p2,..., pm; m represents the number of inspection nodes. Compare and analyze the set A of actually measured inspection data with the historical inspection data sets p1, p2,..., pm respectively to obtain the traceability number ratio and the traceability proximity ratio; sum the traceability number ratio and the traceability proximity ratio to calculate the traceability value of each historical inspection data set. Fill in the subsets in the set of actually measured inspection data into the inspection nodes corresponding to the maximum traceability value. Count the number of occurrences in the historical inspection data set pm that are similar to any subset in the set A of actually measured inspection data, and mark it as the traceability number; process the ratio of the traceability number to the number in the historical inspection data set pm to obtain the traceability number ratio. Count the mode value in the historical inspection data set pm, calculate the difference between any subset in the set A of actually measured inspection data and the mode value to obtain the traceability deviation value; calculate the ratio of the traceability deviation value to the mode value to obtain the traceability proximity ratio.

2. The method for batch data filling of bridge engineering inspection based on BIM model according to claim 1, characterized in that, In Step 1, in the created BIM model of the bridge project, multiple inspection nodes and the standard inspection data of each inspection node are preset. Then obtain the actually measured inspection data obtained by the technical personnel during the investigation of the actual bridge, and mark it as the actual inspection data.

3. The method for batch data filling of bridge engineering inspection based on BIM model according to claim 1, characterized in that, In Step 2, the process of analyzing the data integrity value is as follows: Obtain the number of actual inspection data, calculate the difference between the number of actual inspection data and the number of inspection nodes to obtain the data integrity value.

4. The method for batch data filling of bridge engineering inspection based on BIM model according to claim 1, characterized in that, In Step 2, the process of analyzing the data accuracy value is as follows: Calculate the difference between the actual inspection sum value and the standard inspection sum value to obtain the actual-standard inspection sum difference. Calculate the difference between the actual inspection range value and the standard inspection range value to obtain the actual-standard inspection range difference. Then sum the actual-standard inspection sum difference and the actual-standard inspection range difference to obtain the data accuracy value.

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

6. The method for batch data filling of bridge engineering inspection based on BIM model according to claim 5, 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; In addition, obtain the maximum and minimum values among all the standard inspection values, and mark them as the standard inspection maximum value and all the standard inspection minimum values respectively. Calculate the difference between the standard inspection maximum value and all the standard inspection minimum values to obtain the standard inspection range value.

7. The method for batch data filling of bridge engineering inspection based on BIM model according to claim 1, characterized in that In step 3, through the formula , the reasonable value ZHP for batch filling is calculated; where a1 and a2 are both weight ratio coefficients, ZSW is the data integrity value, and ZSZ is the data accuracy value. If the reasonable value of batch filling is greater than or equal to the reasonable threshold of batch filling, generate a signal of not filling in batches; If the reasonable value of batch filling is less than the reasonable threshold of batch filling, generate a signal of batch filling.

8. A system for filling in batch data for bridge engineering inspection based on a BIM model, characterized in that, The system is used to execute the method described in any one of claims 1-7 above. The system includes: Collection 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 actually measured inspection data; Analysis module: Analyze the standard inspection data and the actual inspection data to obtain the data integrity value and the data accuracy value; Judgment module: Based on the data integrity value and the data accuracy value, perform processing and analysis to obtain the reasonable value of batch filling; compare the reasonable value of batch filling with the reasonable threshold of batch filling to generate a signal of whether to fill in batches; Filling module: Based on the signal of batch filling, obtain each actually measured inspection data, construct a set, perform traceability analysis to obtain the traceability value, and complete the pre-batch filling work according to the traceability value.

Citation Information

Patent Citations

  • BIM-based rail transit construction visual progress management method and system

    CN112307548A

  • Data full life cycle monitoring method and system, electronic equipment and storage medium

    CN117390082A