Bridge bed-jack precision intelligent detection comparison method based on design datum

Abstract

The application discloses a bridge bed-jig precision intelligent detection comparison method based on design datum, relates to the technical field of bridge detection, and comprises the following steps: obtaining a weather bed-jig environment based on the design datum of a bridge bed-jig and weather influence data; obtaining a standard parameter group of a laser scanner in each weather bed-jig environment by using a parameter calibration method; and controlling the laser scanner to perform laser scanning and precision detection comparison based on a real-time bed-jig environment. The application is used to solve the problem that, in the prior art, when point cloud data is obtained by using a laser scanner, the parameters of the laser scanner are not adjusted based on environmental changes, resulting in a large error between a model generated from the point cloud data and an actual bridge, and further affecting the accuracy of high-precision detection comparison based on the point cloud data.

Description

Technical Field

[0001] This invention relates to the field of bridge inspection technology, specifically to an intelligent inspection and comparison method for the accuracy of bridge formwork based on design benchmarks. Background Technology

[0002] Bridge formwork is a specialized piece of equipment used in bridge engineering to support, position, and assemble bridge components. Its main functions include ensuring precise alignment of components, reducing welding deformation, and improving construction efficiency. Intelligent detection and comparison of bridge formwork accuracy is a process of real-time monitoring and data verification of the geometric parameters of the formwork structure during construction through multi-sensor fusion and AI technology. The equipment used in this process typically includes static level, laser scanner, and micro-strain sensor.

[0003] Existing methods for intelligent inspection and comparison of bridge formwork accuracy typically involve acquiring point cloud data of the target bridge and then using a robot to precisely locate the formwork and bridge components on it for high-precision inspection. While this improved method ensures the accuracy of the comparison between measured data and theoretical models, it fails to consider the impact of the environment on point cloud data acquisition. This results in the failure to adjust the laser scanner parameters based on environmental changes when acquiring point cloud data, leading to significant errors in the model generated from the point cloud data compared to the actual bridge. Consequently, the accuracy of high-precision inspection and comparison based on point cloud data is affected. For example, patent application CN120141498A discloses a bridge inspection robot based on multi-sensor information fusion. The human-based localization method combines the similarity between the point cloud data collected by the robot in real time and the point cloud data of the bridge piers, as well as the similarity of the distribution of corner points in the image, to filter the actual shooting area, achieving precise robot localization. The precisely localized robot then performs high-precision inspection of the bridge jig and the bridge components on it. Other improvements to intelligent inspection and comparison methods for bridge jig accuracy typically focus on improving model assembly and alignment. However, these methods still fail to address the issue of not adjusting the laser scanner parameters based on environmental changes when using laser scanners to acquire point cloud data. This results in environmental factors affecting laser transmission and signal reception, causing significant errors between the model generated from the point cloud data and the actual bridge, thus impacting the accuracy of high-precision inspection and comparison based on point cloud data. Therefore, it is necessary to improve existing intelligent inspection and comparison methods for bridge jig accuracy. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art. By proposing an intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks, this invention addresses the issue that existing intelligent detection and comparison methods for bridge formwork accuracy fail to adjust the parameters of the laser scanner based on environmental changes when acquiring point cloud data. This results in environmental factors affecting laser transmission and signal reception, causing significant errors between the model generated from the point cloud data and the actual bridge, thus impacting the accuracy of high-precision detection and comparison based on point cloud data.

[0005] To achieve the above objectives, this application provides an intelligent detection and comparison method for the accuracy of bridge formwork based on design benchmarks, comprising the following steps:

[0006] Based on the design benchmark of the bridge formwork, a digital twin model corresponding to the bridge formwork is constructed and denoted as the formwork model. The virtual environment in which the formwork model is located is denoted as the formwork environment. Weather impact data is obtained based on the geographical location of the bridge formwork, and multiple weather impact parameters are obtained based on the weather impact data. The weather impact parameters are added to the formwork environment, and multiple weather formwork environments are obtained.

[0007] Based on the instrument parameters of the laser scanner, a digital twin model corresponding to the laser scanner is constructed and denoted as the scanning model; the scanning model is placed in each weather frame environment, and the standard parameter set of the laser scanner in each weather frame environment is obtained using the parameter calibration method;

[0008] The weather impact data during the bridge formwork accuracy inspection is recorded as real-time weather data. Based on the weather formwork environment and real-time weather data, the real-time formwork environment is obtained, and the laser scanner is controlled to perform laser scanning and accuracy inspection comparison on the bridge formwork based on the standard parameter group corresponding to the real-time formwork environment.

[0009] Furthermore, weather impact data obtained based on the geographical location of the bridge formwork includes:

[0010] The geographical location of the bridge formwork is recorded as the bridge location. Weather data for the bridge location within one year is obtained based on weather data, and all weather conditions present in the weather data are recorded as bridge environmental weather. For any bridge environmental weather, the date corresponding to the weather in the weather data that is bridge environmental weather is obtained and recorded as bridge environmental date. The temperature, light intensity, and dust concentration recorded at the bridge location by meteorological data and environmental monitoring data within the bridge environmental date are recorded as the weather impact data of the bridge environmental date.

[0011] Obtain weather impact data for all bridge environmental dates corresponding to each bridge environmental weather.

[0012] Furthermore, multiple weather impact parameters are obtained based on weather impact data, including:

[0013] For any bridge environmental weather α corresponding to any bridge environmental date γ: in the weather impact data of bridge environmental date γ, the maximum and minimum values ​​of temperature, light intensity and dust concentration are recorded as the highest temperature and lowest temperature, the highest light intensity and lowest light intensity, and the highest dust concentration and lowest dust concentration within the day, respectively. Temperature, light intensity and dust concentration are also recorded as weather impact parameters.

[0014] The average values ​​of the highest and lowest temperatures, the highest and lowest light intensities, and the highest and lowest toner concentrations within a day are respectively denoted as the daily average temperature, the daily average light intensities, and the daily average toner concentrations.

[0015] Furthermore, weather impact parameters are added to the tire rack environment, and multiple weather tire rack environments are obtained, including:

[0016] Obtain the daily average temperature, daily average light intensity, and daily average pollen concentration for all bridge environmental dates corresponding to bridge environmental weather α. Record the average of all daily average temperatures as the environmental average temperature, the average of all daily average light intensity as the environmental average light intensity, and the average of all daily average pollen concentrations as the environmental average pollen concentration. Record the environmental average temperature, environmental average light intensity, and environmental average pollen concentration as environmental average parameters.

[0017] Bridge environmental dates with an average daily temperature greater than or equal to the average ambient temperature and those with an average daily temperature less than the average ambient temperature are respectively designated as high-temperature environmental dates and low-temperature environmental dates; bridge environmental dates with an average daily light intensity greater than or equal to the average ambient light intensity and those with an average daily light intensity less than the average ambient light intensity are respectively designated as high-light environmental dates and low-light environmental dates; bridge environmental dates with an average daily paint concentration greater than or equal to the average ambient paint concentration and those with an average daily paint concentration less than the average ambient paint concentration are respectively designated as high-painting environmental dates and low-painting environmental dates.

[0018] Furthermore, the key factor for high-temperature and low-temperature environment dates is denoted as temperature; the key factor for high-light and low-light environment dates is denoted as light intensity; and the key factor for high-powder and low-powder environment dates is denoted as powder concentration. Weather influence parameters are added to the fixture environment, and multiple weather fixture environments are also obtained, including:

[0019] For any type of date β, including high temperature environment date, low temperature environment date, high light environment date, low light environment date, high toner environment date, and low toner environment date: the interval formed by the maximum and minimum values ​​of the key factors among all dates corresponding to date β is denoted as the key influence interval;

[0020] Within the cradle environment, add a critical factor that fluctuates within the critical influence range, and an environment in which all weather influence parameters except the critical factor are environmental average parameters, and record the cradle environment at this time as the weather cradle environment of date β.

[0021] Obtain the weather conditions for all bridge environments and for all dates.

[0022] Furthermore, a scanning model was placed in each weather-dependent environment, and a parameter calibration method was used to obtain the standard parameter set for the laser scanner in each weather-dependent environment, including:

[0023] The parameters that need to be adjusted when starting the laser scanner are denoted as scanning influence parameters SY1 to SY2. t For any weather-dependent environment: place the scanning model within the weather-dependent environment and use the parameter calibration method to obtain the standard parameter set corresponding to the laser scanner;

[0024] Obtain the standard parameter set corresponding to each weather frame environment for the laser scanner.

[0025] Furthermore, the parameter calibration method includes:

[0026] The scanning model is activated to perform laser emission and scanning motion on the tire model within the weather tire environment, and the 3D model generated from the point cloud data obtained after the scanning is recorded as the laser scanning model; the similarity between the laser scanning model and the tire model is recorded as the scanning similarity.

[0027] Based on the adjustable range of all scanning influence parameters, the values ​​of all scanning influence parameters are adjusted, and the scanning model is restarted k times for laser emission and scanning motion. The resulting laser scanning models are denoted as model DX1 to model DX1 respectively. k Wherein, for any two candidate models DX among all candidate models, k1 and the DX model to be selected k2 The candidate model DX is obtained. k1 Among all the scanning influence parameters corresponding to the time-scanning model, at least one scanning influence parameter δ has a value that is consistent with the value of the model to be selected, DX. k2 The values ​​of the scanning influence parameter δ are different for the time-scanning models;

[0028] Both k1 and k2 are positive integers less than or equal to k and greater than or equal to 1;

[0029] Select the model DX1 to the model DX. k The scanning influence parameter SY1 to the scanning influence parameter SY of the candidate model with the highest scanning similarity. t, which is denoted as the standard parameter set for laser scanners.

[0030] Furthermore, the weather impact data during bridge formwork accuracy testing is recorded as real-time weather data; based on the weather formwork environment and real-time weather data, the real-time formwork environment is obtained, including:

[0031] The weather and weather impact data during the bridge frame accuracy test are recorded as test weather and real-time weather data, respectively.

[0032] Based on the values ​​of each weather impact parameter corresponding to the real-time weather data, an environment composed of the weather impact parameters of the real-time weather data is added within the tire frame environment, and the tire frame environment at this time is recorded as the real-time tire frame environment.

[0033] Furthermore, the laser scanner controlled by the standard parameter set corresponding to the real-time jig environment performs laser scanning and accuracy comparison of the bridge jig, including:

[0034] The bridge environment weather that is the same as the test weather is recorded as the available environment weather. For all types of available environment weather days, the light reflectivity, temperature and dust concentration of the bridge surface in the weather frame environment are compared with the light reflectivity, temperature and dust concentration of the bridge surface in the real-time frame environment. The weather frame environment corresponding to the maximum sum of similarity of light reflectivity, temperature and dust concentration in the comparison results is recorded as the permitted frame environment.

[0035] Furthermore, the laser scanner controlled by the standard parameter set corresponding to the real-time jig environment to perform laser scanning and accuracy comparison of the bridge jig also includes:

[0036] A laser scanner is used to perform laser emission and scanning operation on the bridge formwork. Before starting the laser scanner, all scanning influence parameters in the laser scanner are adjusted based on the standard parameter set corresponding to the laser scanner in the allowable formwork environment.

[0037] The 3D model generated from the point cloud data obtained after scanning the bridge formwork by a laser scanner is denoted as the real-time scanning model. The comparison result between the real-time scanning model and the standard model built based on the design benchmark is denoted as the accuracy detection comparison result of the bridge formwork.

[0038] The beneficial effects of this invention are as follows: First, based on the design benchmarks of the bridge formwork, a formwork model is constructed, and the virtual environment in which the formwork model is located is denoted as the formwork environment. Weather impact data is obtained based on the geographical location of the bridge formwork, and multiple weather impact parameters are obtained based on the weather impact data. The weather impact parameters are added to the formwork environment, and multiple weather formwork environments are obtained. The advantage of this is that by constructing the formwork environment and obtaining weather image data, the constructed weather formwork environment can truly reflect the state of the formwork under different weather conditions. This allows for the acquisition of parameters that the laser scanner needs to adjust for different temperatures, light intensities, and dust concentrations in subsequent analysis. This enables the adjustment of the laser scanner parameters based on environmental changes in actual accuracy comparison, reducing the error between the model generated from point cloud data and the actual bridge, and improving the accuracy of accuracy detection and comparison.

[0039] This application also constructs a scanning model based on the instrument parameters of the laser scanner; the scanning model is placed in each weather-dependent frame environment, and a parameter calibration method is used to obtain the standard parameter set of the laser scanner corresponding to each weather-dependent frame environment; finally, based on the weather-dependent frame environment and real-time weather data, the real-time frame environment is obtained, and the laser scanner is controlled to perform laser scanning and accuracy detection comparison on the bridge frame based on the standard parameter set corresponding to the real-time frame environment. The advantage of this is that by obtaining the standard parameter set of each weather-dependent frame environment, when performing high-precision comparison, by obtaining the real-time frame environment and matching the corresponding permissible frame environment, it can be ensured that after adjusting all scanning influence parameters of the laser scanner based on the standard parameter set corresponding to the laser scanner in the permissible frame environment, the laser scanner can adapt to the temperature, light intensity, and dust concentration in the real-time frame environment, thereby improving the similarity between the model generated from point cloud data and the actual bridge, as well as the accuracy of high-precision detection comparison based on point cloud data. Attached Figure Description

[0040] Figure 1 This is a flowchart illustrating the steps of the method of the present invention;

[0041] Figure 2 This is a schematic flowchart of the parameter calibration method of the present invention;

[0042] Figure 3 This is a schematic diagram of the electronic device of the present invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Example 1, please refer to Figure 1 As shown, this application provides an intelligent detection and comparison method for the accuracy of bridge formwork based on design benchmarks, including the following steps:

[0045] Step S1: Based on the design benchmark of the bridge formwork, construct a digital twin model corresponding to the bridge formwork, denoted as the formwork model, and denote the virtual environment where the formwork model is located as the formwork environment; obtain weather impact data based on the geographical location of the bridge formwork, and obtain multiple weather impact parameters based on the weather impact data; add the weather impact parameters to the formwork environment, and obtain multiple weather formwork environments.

[0046] Step S1 includes: Step S101, recording the geographical location of the bridge formwork as the bridge location, obtaining weather data for the bridge location within one year based on weather data, and recording all weather conditions present in the weather data as bridge environmental weather; for any bridge environmental weather, obtaining the date corresponding to the weather in the weather data when the weather is bridge environmental weather, and recording it as the bridge environmental date; recording the temperature, light intensity, and dust concentration recorded at the bridge location by meteorological data and environmental monitoring data within the bridge environmental date as the weather impact data of the bridge environmental date;

[0047] Step S102: Obtain the weather impact data for all bridge environmental dates corresponding to each bridge environmental weather.

[0048] Step S1 further includes: Step S103, for any bridge environment weather α corresponding to any bridge environment date γ: in the weather impact data of bridge environment date γ, the maximum and minimum values ​​of temperature, light intensity and dust concentration are recorded as the highest temperature and lowest temperature, the highest light intensity and lowest light intensity, and the highest dust concentration and lowest dust concentration within the day, respectively, and temperature, light intensity and dust concentration are recorded as weather impact parameters;

[0049] In the specific implementation process, the bridge environmental weather can be adaptively adjusted according to the geographical characteristics of the bridge location. For example, if the area where the bridge is located experiences sandstorms or frost, then the bridge environmental weather should include sandstorms or frost. Similarly, if the area where the bridge is located has not experienced snowfall in the past year, then the bridge environmental weather should not include snow days. For instance, in a data analysis, if the bridge environmental weather being analyzed is sunny and the bridge environmental date is December 1st, then by obtaining meteorological and environmental monitoring data for December 1st, the maximum and minimum values ​​for temperature, light intensity, and dust concentration on December 1st are obtained as follows: 18℃ and 3℃, 48000 lx and 90000 lx, and 90 μg / m³ and 30 μg / m³, respectively. Through calculation, the daily average temperature, daily average light intensity, and daily average dust concentration are obtained as follows: 10.5℃, 69000 lx, and 60 μg / m³, respectively.

[0050] Step S104: The average values ​​of the highest and lowest temperatures during the day, the average values ​​of the highest and lowest light intensities during the day, and the average values ​​of the highest and lowest toner concentrations during the day are recorded as the average temperature, average light intensity, and average toner concentration during the day, respectively.

[0051] Step S1 further includes: Step S105, obtaining the intraday average temperature, intraday average light intensity, and intraday average pollen concentration for all bridge environmental dates corresponding to bridge environmental weather α, and recording the average of all intraday average temperatures as the environmental average temperature, the average of all intraday average light intensities as the environmental average light intensity, and the average of all intraday average pollen concentrations as the environmental average pollen concentration; recording the environmental average temperature, environmental average light intensity, and environmental average pollen concentration as environmental average parameters.

[0052] In the specific implementation process, by acquiring average environmental parameters, we can obtain the measurement standards for different parameters under the same weather conditions based on environmental parameters on different dates. For example, even if it is a sunny day, it can be divided into sunny days with higher temperatures, sunny days with lower temperatures, sunny days with higher light intensity, sunny days with lower light intensity, sunny days with higher dust concentration, and sunny days with lower dust concentration. That is, the weather corresponding to the high temperature environment date, low temperature environment date, high light environment date, low light environment date, high dust environment date, and low dust environment date obtained in subsequent analysis. Because temperature, light intensity, and dust concentration all affect the accuracy of laser scanners when acquiring point cloud data, for example, in a strong light environment, the laser reflection signal is too strong and easily saturates, resulting in false points in the point cloud, and the reflective surface is prone to signal misjudgment. In a weak light environment, the laser signal attenuates over long distances, and dark-colored tire structure components are prone to missing points. Therefore, by analyzing different types of dates under the same weather conditions, we can determine in subsequent analysis the direction of adjusting the parameters of the laser scanner when using a laser scanner to acquire point cloud data on different types of dates under the same weather conditions.

[0053] For example, in the analysis of this embodiment, the bridge environment weather is sunny, and the bridge environment date is December 1st. The daily average temperature, daily average light intensity, and daily average powder concentration are 10.5℃, 69000lx, and 60μg / m³, respectively. The average light intensity is obtained from the data as 59000lx. Therefore, December 1st should be recorded as a high-light environment date. According to the aforementioned analysis, under the high-light environment date, the laser reflection signal is too strong and easily saturates, resulting in false points in the point cloud. Moreover, the reflective surface is prone to signal misjudgment. Therefore, at this time, the laser power of the laser scanner is controlled to adaptively attenuate, so as to avoid the laser reflection signal being too strong and easily saturating. In addition, the scanning frequency should be increased to increase the point cloud density. False points of reflection are eliminated through redundant data to ensure the accuracy of the design size comparison of feature points, thereby improving the accuracy of point cloud data obtained by using the laser scanner.

[0054] Step S106: Bridge environmental dates with an intraday average temperature greater than or equal to the ambient average temperature and those with an intraday average temperature less than the ambient average temperature are recorded as high-temperature environmental dates and low-temperature environmental dates, respectively; bridge environmental dates with an intraday average light intensity greater than or equal to the ambient average light intensity and those with an intraday average light intensity less than the ambient average light intensity are recorded as high-light environmental dates and low-light environmental dates, respectively; bridge environmental dates with an intraday average paint concentration greater than or equal to the ambient average paint concentration and those with an intraday average paint concentration less than the ambient average paint concentration are recorded as high-paint environmental dates and low-paint environmental dates, respectively.

[0055] The key factors for high-temperature environment dates and low-temperature environment dates are denoted as temperature, the key factors for high-light environment dates and low-light environment dates are denoted as light intensity, and the key factors for high-powder environment dates and low-powder environment dates are denoted as powder concentration. Step S1 also includes: Step S107, for any type of date β among high-temperature environment dates, low-temperature environment dates, high-light environment dates, low-light environment dates, high-powder environment dates, and low-powder environment dates: the interval formed by the maximum and minimum values ​​of the key factors among all dates corresponding to date β is denoted as the key influence interval;

[0056] Step S108: In the womb environment, add an environment where the key factors fluctuate within the key influence range, and all weather influence parameters except the key factors are environmental average parameters, and record the womb environment at this time as the weather womb environment of date β.

[0057] In the specific implementation process, by using the key influence range of key factors and the environmental average parameters of weather influence parameters other than key factors to construct the weather frame environment corresponding to each date, it is possible to more accurately simulate all types of weather corresponding to each weather in subsequent analysis, thereby obtaining the standard parameter set of the laser scanner in each weather frame environment, realizing the adjustment of the laser scanner parameters based on environmental changes, reducing the error between the model generated by point cloud data and the actual bridge, and improving the accuracy of precision detection comparison;

[0058] Step S109: Obtain the weather frame environment for all types of dates corresponding to the weather conditions of all bridge environments.

[0059] Step S2: Based on the instrument parameters of the laser scanner, construct a digital twin model corresponding to the laser scanner and denot it as the scanning model; place the scanning model in each weather frame environment and use the parameter calibration method to obtain the standard parameter set of the laser scanner in each weather frame environment;

[0060] Step S2 includes: Step S201, recording the parameters that need to be adjusted when the laser scanner is started as scanning influence parameters SY1 to scanning influence parameters SY2. t For any weather-dependent environment: place the scanning model within the weather-dependent environment and use the parameter calibration method to obtain the standard parameter set corresponding to the laser scanner;

[0061] Step S202: Obtain the standard parameter set corresponding to each weather frame environment for the laser scanner.

[0062] Please see Figure 2As shown, the parameter calibration method includes: Step V1, starting the scanning model to perform laser emission and scanning motion on the tire model in the weather tire environment, and recording the three-dimensional model generated from the point cloud data obtained after the scanning as the laser scanning model; recording the similarity between the laser scanning model and the tire model as the scanning similarity.

[0063] Step V2: Based on the adjustable range of all scanning influence parameters, adjust the values ​​of all scanning influence parameters and restart the k-times scanning model for laser emission and scanning motion. The resulting laser scanning models are denoted as model DX1 to model DX1 respectively. k Wherein, for any two candidate models DX among all candidate models, k1 and the DX model to be selected k2 The candidate model DX is obtained. k1 Among all the scanning influence parameters corresponding to the time-scanning model, at least one scanning influence parameter δ has a value that is consistent with the value of the model to be selected, DX. k2 The values ​​of the scanning influence parameter δ corresponding to the time-scanning model are different; k1 and k2 are both positive integers less than or equal to k and greater than or equal to 1;

[0064] In the specific implementation process, the value of k can be set according to the actual range of parameter adjustment. The larger the range of parameter adjustment, the higher the value of k can be, so as to ensure that the selected model can cover all types of models obtained by the laser scanner after scanning the tire frame; in this embodiment, the value of k is 10.

[0065] The scanning parameters may include laser power, scanning frequency, scanning speed, laser wavelength, scanning mirror rotation speed, laser beam divergence angle, and scanning mode. For example, in the analysis of this embodiment, it is found that under the bright light environment of a sunny day, the laser reflection signal is too strong and easily saturates, resulting in false points in the point cloud, and the reflective surface is prone to signal misjudgment. Therefore, by adjusting the laser power and scanning frequency, after 10 laser emission and scanning movements, among the 10 candidate models obtained, the candidate model with a laser power of 15% and a scanning frequency increased by 25% has the highest scanning similarity. Therefore, in actual accuracy detection, if the weather environment of the bridge frame is the weather frame environment corresponding to the bright light environment of a sunny day, the laser power should be adjusted to 15% and the scanning frequency should be increased by 25% in the default state before the laser scanner performs laser emission and scanning operation to ensure that the obtained point cloud data can generate a more accurate model.

[0066] Step V3: Transfer the model to be selected (DX1) to the model to be selected (DX). k The scanning influence parameter SY1 to the scanning influence parameter SY of the candidate model with the highest scanning similarity. t, denoted as the standard parameter set of the laser scanner;

[0067] Based on the analysis of this embodiment, it can be obtained that in a sunny, high-light environment, the standard parameter set of the laser scanner is as follows: laser power is 15%, scanning frequency is increased by 25%, and other parameters remain unchanged.

[0068] Step S3: Record the weather impact data during the bridge formwork accuracy detection as real-time weather data; based on the weather formwork environment and real-time weather data, obtain the real-time formwork environment, and control the laser scanner to perform laser scanning and accuracy detection comparison on the bridge formwork based on the standard parameter group corresponding to the real-time formwork environment.

[0069] Step S3 includes: Step S301, recording the weather and weather impact data during the bridge frame accuracy test as test weather and real-time weather data respectively;

[0070] Step S302: Based on the value of each weather impact parameter corresponding to the real-time weather data, add an environment composed of the weather impact parameters of the real-time weather data within the tire frame environment, and record the tire frame environment at this time as the real-time tire frame environment.

[0071] Step S3 further includes: Step S303, recording the bridge environment weather that is the same as the test weather as the available environment weather; comparing the light reflectance, temperature and dust concentration of the bridge frame surface in the weather frame environment of all types of available environment weather with the light reflectance, temperature and dust concentration of the bridge frame surface in the real-time frame environment, and recording the weather frame environment corresponding to the maximum value of the sum of similarity of light reflectance, temperature and dust concentration in the comparison results as the permitted frame environment;

[0072] In the specific implementation process, by comparing the light reflectivity, temperature and dust concentration of the bridge frame surface, the allowable frame environment that is most similar to the real-time frame environment can be obtained, thereby ensuring the accuracy of the laser scanner adjustment, and thus improving the similarity between the model generated by point cloud data and the actual bridge, as well as the accuracy of high-precision detection and comparison based on point cloud data.

[0073] Step S304: Use a laser scanner to emit laser light and scan the bridge formwork. Before starting the laser scanner, adjust all scanning parameters of the laser scanner based on the standard parameter set corresponding to the allowable formwork environment.

[0074] Step S305: The three-dimensional model generated from the point cloud data obtained after the laser scanner scans the bridge formwork is recorded as the real-time scanning model. The comparison result between the real-time scanning model and the standard model built based on the design benchmark is recorded as the accuracy detection comparison result of the bridge formwork.

[0075] Example 2, please refer to Figure 3 As shown, Figure 3 The example illustrates the structure of an electronic device, which may include a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, which the processor can call. When the computer-readable instructions are executed by the processor, the steps in the intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks are performed to achieve the following functions: First, based on the design benchmarks of the bridge formwork, a formwork model is constructed, and the virtual environment in which the formwork model is located is recorded as the formwork environment; based on the geographical location of the bridge formwork, weather impact data is obtained, and multiple weather impact parameters are obtained based on the weather impact data; the weather impact parameters are added to the formwork environment, and multiple weather formwork environments are obtained; then, based on the instrument parameters of the laser scanner, a scanning model is constructed; a scanning model is placed in each weather formwork environment, and a parameter calibration method is used to obtain the standard parameter set of the laser scanner corresponding to each weather formwork environment; finally, the weather impact data during the accuracy detection of the bridge formwork is recorded as real-time weather data; based on the weather formwork environment and the real-time weather data, the real-time formwork environment is obtained, and the laser scanner is controlled to perform laser scanning and accuracy detection and comparison of the bridge formwork based on the standard parameter set corresponding to the real-time formwork environment.

[0076] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0077] Example 3: This application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the bridge jig accuracy intelligent detection and comparison method based on design benchmarks provided by the above methods. The method includes: first, constructing a jig model based on the design benchmarks of the bridge jig, and recording the virtual environment where the jig model is located as the jig environment; obtaining weather impact data based on the geographical location of the bridge jig, and obtaining multiple weather impact parameters based on the weather impact data; adding the weather impact parameters to the jig environment, and obtaining multiple weather jig environments; then, constructing a scanning model based on the instrument parameters of the laser scanner; placing the scanning model in each weather jig environment, and using a parameter calibration method to obtain the standard parameter set of the laser scanner corresponding to each weather jig environment; finally, recording the weather impact data during bridge jig accuracy detection as real-time weather data; obtaining the real-time jig environment based on the weather jig environment and the real-time weather data, and controlling the laser scanner to perform laser scanning and accuracy detection and comparison of the bridge jig based on the standard parameter set corresponding to the real-time jig environment.

[0078] Example 4: This application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it performs the steps of the above-described intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks to achieve the following functions: First, based on the design benchmarks of the bridge formwork, a formwork model is constructed, and the virtual environment where the formwork model is located is recorded as the formwork environment; based on the geographical location of the bridge formwork, weather impact data is obtained, and multiple weather impact parameters are obtained based on the weather impact data; the weather impact parameters are added to the formwork environment, and multiple weather formwork environments are obtained; then, based on the instrument parameters of the laser scanner, a scanning model is constructed; a scanning model is placed in each weather formwork environment, and a parameter calibration method is used to obtain the standard parameter set of the laser scanner corresponding to each weather formwork environment; finally, the weather impact data during bridge formwork accuracy detection is recorded as real-time weather data; based on the weather formwork environment and real-time weather data, the real-time formwork environment is obtained, and the laser scanner is controlled to perform laser scanning and accuracy detection and comparison of the bridge formwork based on the standard parameter set corresponding to the real-time formwork environment.

[0079] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the above technical solutions, in essence or in terms of their contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0080] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for intelligent detection and comparison of bridge formwork accuracy based on design benchmarks, characterized in that, Includes the following steps: Based on the design benchmark of the bridge formwork, a digital twin model corresponding to the bridge formwork is constructed and denoted as the formwork model. The virtual environment in which the formwork model is located is denoted as the formwork environment. Weather impact data is obtained based on the geographical location of the bridge formwork, and multiple weather impact parameters are obtained based on the weather impact data. The weather impact parameters are added to the formwork environment, and multiple weather formwork environments are obtained. Based on the instrument parameters of the laser scanner, a digital twin model corresponding to the laser scanner is constructed and denoted as the scanning model; the scanning model is placed in each weather frame environment, and the standard parameter set of the laser scanner in each weather frame environment is obtained using the parameter calibration method; The weather impact data during the bridge formwork accuracy inspection is recorded as real-time weather data; based on the weather formwork environment and real-time weather data, the real-time formwork environment is obtained, and the laser scanner is controlled to perform laser scanning and accuracy inspection comparison on the bridge formwork based on the standard parameter group corresponding to the real-time formwork environment. Add weather impact parameters to the tire rack environment and obtain multiple weather tire rack environments, including: Obtain the daily average temperature, daily average light intensity, and daily average pollen concentration for all bridge environmental dates corresponding to bridge environmental weather α. Record the average of all daily average temperatures as the environmental average temperature, the average of all daily average light intensity as the environmental average light intensity, and the average of all daily average pollen concentrations as the environmental average pollen concentration. Record the environmental average temperature, environmental average light intensity, and environmental average pollen concentration as environmental average parameters. Bridge environmental dates with an average daily temperature greater than or equal to the average ambient temperature and those with an average daily temperature less than the average ambient temperature are respectively designated as high-temperature environmental dates and low-temperature environmental dates; bridge environmental dates with an average daily light intensity greater than or equal to the average ambient light intensity and those with an average daily light intensity less than the average ambient light intensity are respectively designated as high-light environmental dates and low-light environmental dates; bridge environmental dates with an average daily paint concentration greater than or equal to the average ambient paint concentration and those with an average daily paint concentration less than the average ambient paint concentration are respectively designated as high-painting environmental dates and low-painting environmental dates.

2. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 1, characterized in that, Weather impact data obtained based on the geographical location of the bridge formwork includes: The geographical location of the bridge formwork is recorded as the bridge location. Weather data for the bridge location within one year is obtained based on weather data, and all weather conditions present in the weather data are recorded as bridge environmental weather. For any bridge environmental weather, the date corresponding to the weather in the weather data that is bridge environmental weather is obtained and recorded as bridge environmental date. The temperature, light intensity, and dust concentration recorded at the bridge location by meteorological data and environmental monitoring data within the bridge environmental date are recorded as the weather impact data of the bridge environmental date. Obtain weather impact data for all bridge environmental dates corresponding to each bridge environmental weather.

3. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 2, characterized in that, Multiple weather impact parameters are obtained based on weather impact data, including: For any bridge environmental weather α corresponding to any bridge environmental date γ: in the weather impact data of bridge environmental date γ, the maximum and minimum values ​​of temperature, light intensity and dust concentration are recorded as the highest temperature and lowest temperature, the highest light intensity and lowest light intensity, and the highest dust concentration and lowest dust concentration within the day, respectively. Temperature, light intensity and dust concentration are also recorded as weather impact parameters. The average values ​​of the highest and lowest temperatures, the highest and lowest light intensities, and the highest and lowest toner concentrations within a day are respectively denoted as the daily average temperature, the daily average light intensities, and the daily average toner concentrations.

4. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 3, characterized in that, The key factor for high-temperature and low-temperature environment dates is denoted as temperature; the key factor for high-light and low-light environment dates is denoted as light intensity; and the key factor for high-powder and low-powder environment dates is denoted as powder concentration. Weather influence parameters are added to the fixture environment, and multiple weather fixture environments are also obtained, including: For any type of date β, including high temperature environment date, low temperature environment date, high light environment date, low light environment date, high toner environment date, and low toner environment date: the interval formed by the maximum and minimum values ​​of the key factors among all dates corresponding to date β is denoted as the key influence interval; Within the cradle environment, add a critical factor that fluctuates within the critical influence range, and an environment in which all weather influence parameters except the critical factor are environmental average parameters, and record the cradle environment at this time as the weather cradle environment of date β. Obtain the weather conditions for all bridge environments and for all dates.

5. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 4, characterized in that, A scanning model was placed in each weather-dependent environment, and a parameter calibration method was used to obtain the standard parameter set for the laser scanner in each weather-dependent environment, including: The parameters that need to be adjusted when starting the laser scanner are denoted as scanning influence parameters SY1 to SY2. t For any weather-dependent environment: place the scanning model within the weather-dependent environment and use the parameter calibration method to obtain the standard parameter set corresponding to the laser scanner; Obtain the standard parameter set corresponding to each weather frame environment for the laser scanner.

6. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 5, characterized in that, Parameter calibration methods include: The scanning model is activated to perform laser emission and scanning motion on the tire model within the weather tire environment, and the 3D model generated from the point cloud data obtained after the scanning is recorded as the laser scanning model; the similarity between the laser scanning model and the tire model is recorded as the scanning similarity. Based on the adjustable range of all scanning influence parameters, the values ​​of all scanning influence parameters are adjusted, and the scanning model is restarted k times for laser emission and scanning motion. The resulting laser scanning models are denoted as model DX1 to model DX1 respectively. k Wherein, for any two candidate models DX among all candidate models, k1 and the DX model to be selected k2 The candidate model DX is obtained. k1 Among all the scanning influence parameters corresponding to the time-scan model, at least one scanning influence parameter δ has a value that is consistent with the value of the model to be selected, DX. k2 The values ​​of the scanning influence parameter δ are different for the time-scanning models; Both k1 and k2 are positive integers less than or equal to k and greater than or equal to 1; Select the model DX1 to the model DX. k The scanning influence parameter SY1 to the scanning influence parameter SY of the candidate model with the highest scanning similarity. t , which is denoted as the standard parameter set for laser scanners.

7. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 6, characterized in that, The weather impact data during bridge frame accuracy testing will be recorded as real-time weather data. Based on the weather-dependent tire rack environment and real-time weather data, the real-time tire rack environment is obtained as follows: The weather and weather impact data during the bridge frame accuracy test are recorded as test weather and real-time weather data, respectively. Based on the values ​​of each weather impact parameter corresponding to the real-time weather data, an environment composed of the weather impact parameters of the real-time weather data is added within the tire frame environment, and the tire frame environment at this time is recorded as the real-time tire frame environment.

8. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 7, characterized in that, The laser scanner, controlled by a standard parameter set corresponding to the real-time jig environment, performs laser scanning and accuracy comparison of the bridge jig, including: The bridge environment weather that is the same as the test weather is recorded as the available environment weather. For all types of available environment weather days, the light reflectivity, temperature and dust concentration of the bridge surface in the weather frame environment are compared with the light reflectivity, temperature and dust concentration of the bridge surface in the real-time frame environment. The weather frame environment corresponding to the maximum sum of similarity of light reflectivity, temperature and dust concentration in the comparison results is recorded as the permitted frame environment.

9. The intelligent detection and comparison method for bridge formwork accuracy based on design benchmarks according to claim 8, characterized in that, The laser scanner controlled by the standard parameter set corresponding to the real-time jig environment for laser scanning and accuracy comparison of bridge jigs also includes: A laser scanner is used to emit laser light and perform scanning motion on the bridge formwork. Before starting the laser scanner, all scanning parameters of the laser scanner are adjusted based on the standard parameter set corresponding to the laser scanner in the allowable formwork environment. The 3D model generated from the point cloud data obtained after scanning the bridge formwork by a laser scanner is denoted as the real-time scanning model. The comparison result between the real-time scanning model and the standard model built based on the design benchmark is denoted as the accuracy detection comparison result of the bridge formwork.

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