Assembly type subway station assembly error monitoring and identifying method and system

Abstract

The invention relates to the technical field of data processing, and provides an assembly type subway station assembly error monitoring and identification method and a related device, and the method comprises the steps: obtaining the current attribute information of a to-be-installed segment in an assembly type subway station, and obtaining the installation parameter information in the assembly type subway station; determining installation error information of the segment to be installed according to the current attribute information, preset attribute information and the installation parameter information; and according to the installation error information, initial installation parameters of the to-be-installed duct piece are adjusted, and actual installation parameters are obtained. By implementing the method provided by the invention, the installation error information can be determined according to the attribute information of the to-be-installed duct piece and the installation parameter information in the subway station, and the installation parameters are adjusted by using the installation error information, so that more accurate actual installation parameters can be obtained; and the subsequent assembly accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the technical fields of error identification and prefabricated subway stations, and in particular to a method and system for monitoring and identifying assembly errors of prefabricated subway stations. Background Art

[0002] In recent years, prefabricated construction technology has developed rapidly and has gradually been applied to the construction of subway stations.

[0003] When constructing a prefabricated subway station, it is assembled from multiple parts. However, due to the errors in the production machinery and process flow during the production of the parts, the produced parts (for example, prefabricated pipe segments, etc.) will have certain original errors. If the produced parts are directly assembled, it will cause the assembly to deviate from the error requirements of the original design, thereby reducing the accuracy of the assembly. Summary of the invention

[0004] The embodiments of the present application provide a method and system for monitoring and identifying assembly errors in prefabricated subway stations, which can determine installation error information based on the property information of the pipe segments to be installed and the installation parameter information in the subway station, and use the installation error information to adjust the installation parameters to obtain actual installation parameters, thereby improving the accuracy of subsequent assembly.

[0005] A first aspect of an embodiment of the present application provides a method for monitoring and identifying assembly errors of a prefabricated subway station, the method comprising:

[0006] Obtain current property information of the segments to be installed in the prefabricated subway station, and obtain installation parameter information in the prefabricated subway station;

[0007] Determine installation error information of the segment to be installed according to current attribute information, preset attribute information and installation parameter information;

[0008] The initial installation parameters of the segments to be installed are adjusted according to the installation error information to obtain actual installation parameters.

[0009] In a possible implementation, determining the installation error information of the to-be-installed segment according to the current attribute information, the preset attribute information and the installation parameter information includes:

[0010] Determine attribute offset information according to the current attribute information and the preset attribute information;

[0011] Determining assembly error information of the installed segments according to the installation parameter information;

[0012] The installation error information of the to-be-installed segment is determined according to the assembly error information and the attribute offset information.

[0013] In a possible implementation, determining the installation error information of the to-be-installed segment according to the assembly error information and the attribute offset information includes:

[0014] Extracting attribute error information and installation error information from the assembly error information;

[0015] Constructing a reference installation error information map according to the construction error information;

[0016] Determine a target installation error information map according to the attribute error information and the reference installation error information map;

[0017] Determine current attribute error information according to the attribute offset information;

[0018] The installation error information is determined according to the target installation error information map and the current attribute error information.

[0019] In a possible implementation, constructing a reference installation error information map according to the construction error information includes:

[0020] Extracting construction error information of k installed segments from the construction error information to obtain k first installation error information;

[0021] and extracting overall installation error information of k installed segments before installation from the construction error information to obtain k overall installation error information;

[0022] An installation error information graph is constructed based on k pieces of overall installation error information, k pieces of the first installation error information and corresponding segment identification information to obtain a reference installation error information graph.

[0023] In a possible implementation, determining a target installation error information map according to the attribute error information and the reference installation error information map includes:

[0024] Extracting attribute error information of k installed segments from the attribute error information to obtain k first attribute error information;

[0025] Determine the influence factors of k first attribute error information on installation error information, and obtain k error influence factors;

[0026] The reference installation error information graph is subjected to error conversion processing according to the k error influencing factors and the k first attribute error information to obtain the target installation error information graph.

[0027] A second aspect of an embodiment of the present application provides a prefabricated subway station assembly error monitoring and identification system, the system comprising:

[0028] An acquisition unit, used to acquire current attribute information of the segments to be installed in the prefabricated subway station, and to acquire installation parameter information in the prefabricated subway station;

[0029] a determining unit, configured to determine installation error information of the segment to be installed according to the current attribute information, the preset attribute information and the installation parameter information;

[0030] An adjustment unit is used to adjust the initial installation parameters of the pipe segment to be installed according to the installation error information to obtain actual installation parameters.

[0031] In a possible implementation manner, the determining unit is specifically configured to:

[0032] Determine attribute offset information according to the current attribute information and the preset attribute information;

[0033] Determining assembly error information of the installed segments according to the installation parameter information;

[0034] The installation error information of the to-be-installed segment is determined according to the assembly error information and the attribute offset information.

[0035] In a possible implementation, in determining the installation error information of the to-be-installed segment according to the assembly error information and the attribute offset information, the determining unit is specifically configured to:

[0036] Extracting attribute error information and installation error information from the assembly error information;

[0037] Constructing a reference installation error information map according to the construction error information;

[0038] Determine a target installation error information map according to the attribute error information and the reference installation error information map;

[0039] Determine current attribute error information according to the attribute offset information;

[0040] The installation error information is determined according to the target installation error information map and the current attribute error information.

[0041] In a possible implementation, in constructing a reference installation error information map according to the construction error information, the determining unit is specifically configured to:

[0042] Extracting construction error information of k installed segments from the construction error information to obtain k first installation error information;

[0043] and extracting overall installation error information of k installed segments before installation from the construction error information to obtain k overall installation error information;

[0044] An installation error information graph is constructed based on k pieces of overall installation error information, k pieces of the first installation error information and corresponding segment identification information to obtain a reference installation error information graph.

[0045] In a possible implementation manner, in determining the target installation error information map according to the attribute error information and the reference installation error information map, the determining unit is specifically configured to:

[0046] Extracting attribute error information of k installed segments from the attribute error information to obtain k first attribute error information;

[0047] Determine the influence factors of k first attribute error information on installation error information, and obtain k error influence factors;

[0048] The reference installation error information graph is subjected to error conversion processing according to the k error influencing factors and the k first attribute error information to obtain the target installation error information graph.

[0049] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiment of the present application.

[0050] The fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiments of the present application.

[0051] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

[0052] The embodiments of the present application have the following beneficial effects:

[0053] By acquiring current attribute information of the pipe segments to be installed in the prefabricated subway station and acquiring installation parameter information in the prefabricated subway station, installation error information of the pipe segments to be installed is determined according to the current attribute information, preset attribute information and the installation parameter information, and initial installation parameters of the pipe segments to be installed are adjusted according to the installation error information to obtain actual installation parameters. Therefore, after the installation error information is determined according to the attribute information of the pipe segments to be installed and the installation parameter information in the subway station, the installation parameters can be adjusted using the installation error information to obtain actual installation parameters, thereby improving the accuracy of subsequent assembly. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 A schematic flow chart of a method for monitoring and identifying assembly errors of a prefabricated subway station is provided for an embodiment of the present application;

[0056] Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0057] Figure 3 A structural schematic diagram of an assembly error monitoring and identification device for a prefabricated subway station is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0059] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0060] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0061] In order to better understand the assembly error monitoring and identification method of a prefabricated subway station provided by the embodiment of the present application, the assembly error monitoring and identification method of a prefabricated subway station in the existing scheme is briefly introduced below. In the existing scheme, when identifying the assembly error, the attribute information of the installed pipe segment is usually collected, and the splicing error is calculated based on the size, angle, splicing gap and position, and then the error is optimized by using a genetic algorithm, and finally the error that can be constructed is obtained. However, when the above method is implemented, it uniformly extracts the size information of the installed pipe segment to calculate the splicing error and optimizes the error. It fails to optimize the error in batches and in real time according to the construction error in the actual construction environment. Therefore, in actual construction, if the actual construction error is within the allowable error range, but the error range is high, it is easy to accumulate errors, making the final error larger, which may cause a series of subsequent assembly problems, such as assembly failure, or safety hazards after assembly.

[0062] In order to solve the above-mentioned problems, an embodiment of the present application provides a method for monitoring and identifying assembly errors of prefabricated subway stations, which can extract the current attribute information and installation parameter information of each pipe segment to be installed when it is installed, and determine the actual installation error information by combining the current attribute information, preset attribute information and installation parameter information, so as to obtain a more realistic installation error, and error confirmation is required during each installation, thereby realizing real-time extraction and correction of errors, and improving the accuracy and reliability of the overall installation.

[0063] See also Figure 1 , Figure 1 The present application provides a flowchart of a method for monitoring and identifying assembly errors of a prefabricated subway station. Figure 1 As shown, the method includes:

[0064] 101. Obtain current property information of the segments to be installed in the prefabricated subway station, and obtain installation parameter information in the prefabricated subway station.

[0065] Among them, the current attribute information of the pipe segment to be installed can be used to indicate various characteristic data of the pipe segment to be installed at the moment, such as the actual size (length, width, height) of the pipe segment, the actual angle (inclination angle of the corners, rotation angle) and other physical property information.

[0066] The installation parameter information in the prefabricated subway station may involve some setting data related to the installation of pipe segments during the construction of the prefabricated subway station, such as the installation location coordinates, the installation sequence, and the environmental parameters during installation (such as data related to the possible impact of temperature and humidity on the splicing gap).

[0067] The current property information of the segments to be installed in the prefabricated subway station and the installation parameter information in the station can be obtained through appropriate measurement methods and data collection channels, so that basic data can be collected and original data can be provided for error analysis in subsequent steps.

[0068] 102. Determine installation error information of the segment to be installed according to the current attribute information, the preset attribute information and the installation parameter information.

[0069] The preset attribute information can be used to indicate the standard attribute data pre-set for each prefabricated segment during the design stage of the prefabricated subway station. The preset attribute information may include, but is not limited to, key parameters such as the ideal size of the segment (including the design values ​​of length, width, and height), precise angles (such as the design upward inclination angle of the corners, the design rotation angle in the horizontal plane), and the standard joint gap width.

[0070] It can be understood that the preset attribute information can be used as a benchmark for comparison with the current attribute information of the pipe segment to be installed obtained during the actual construction process, so as to clearly determine the attribute deviations that may occur in the pipe segment during production, transportation or other links, and provide an important reference basis for the subsequent accurate calculation of installation error information and the adoption of corresponding adjustment measures.

[0071] The installation error information can be used to indicate the deviation data of the segment to be installed during the actual installation process relative to the ideal installation state. The installation error information may include but is not limited to the errors in position, angle, splicing, etc. caused by the difference between the segment's own properties and the preset properties and various factors during the installation process.

[0072] The installation error information of the pipe segment to be installed can be determined based on the collected current attribute information, the pre-set standard attribute information and the installation parameter information, and by using a preset algorithm or calculation model. It is understandable that this process requires comprehensive analysis and processing of various data to accurately obtain the error situation. The relevant content can be found in the detailed description of the following embodiment, and this application will not repeat it here.

[0073] 103. Adjust initial installation parameters of the segment to be installed according to the installation error information to obtain actual installation parameters.

[0074] Furthermore, based on the calculated installation error information, the initial installation parameters of the segments to be installed are adjusted, so that actual installation parameters that better meet the actual installation requirements can be obtained, thereby ensuring that the segments can be accurately installed within the allowable error range.

[0075] In the existing methods, the size and other information of the installed segments are often uniformly extracted to calculate the splicing error and optimize it, without fully considering factors such as construction errors in the actual construction environment to perform batch and real-time error optimization. However, this method can accurately extract the current attribute information and installation parameter information of each segment to be installed when it is installed, and determine the actual installation error information in combination with the preset attribute information, thus realizing the real-time extraction and correction of errors. It can effectively avoid the accumulation problem caused by the construction error being within the allowable range but at a high value, greatly reducing the final error, significantly improving the accuracy and reliability of the overall installation of the prefabricated subway station, and reducing the occurrence of problems such as assembly failure and safety hazards after assembly.

[0076] In this example, by obtaining the current attribute information of the pipe segment to be installed in the prefabricated subway station and the installation parameter information in the prefabricated subway station, the installation error information of the pipe segment to be installed is determined according to the current attribute information, the preset attribute information and the installation parameter information, and the initial installation parameters of the pipe segment to be installed are adjusted according to the installation error information to obtain actual installation parameters. Therefore, after determining the installation error information according to the attribute information of the pipe segment to be installed and the installation parameter information in the subway station, the installation parameters can be adjusted using the installation error information to obtain actual installation parameters, thereby improving the accuracy of subsequent assembly.

[0077] In a possible implementation, determining the installation error information of the to-be-installed segment according to the current attribute information, the preset attribute information and the installation parameter information includes:

[0078] A1. Determine attribute offset information according to the current attribute information and preset attribute information;

[0079] A2. determining assembly error information of the installed segments according to the installation parameter information;

[0080] A3. Determine the installation error information of the to-be-installed segment according to the assembly error information and the attribute offset information.

[0081] The attribute offset information can be used to indicate the difference data in size, angle, etc. between the current attribute information and the preset attribute information of the segment to be installed. The attribute offset information can reflect the degree of deviation between the actual state of the segment itself and the ideal design state. For example, the difference between the actual length of the current segment and the preset length, the difference between the actual corner angle and the preset angle, etc. can all be attribute offset information.

[0082] Optionally, the current property information of the segment to be installed can be compared and calculated with the preset property information to determine the property offset information. It is understandable that this step requires accurate difference calculation and analysis of various property data of the segment.

[0083] The assembly error information of the installed segments can be used to indicate the data obtained by analyzing and counting the errors in position, angle, splicing gap, etc. generated during the splicing process of the installed segments based on the installation parameter information. The assembly error information of the installed segments can reflect the actual situation during the previous installation process and has important reference value for the subsequent segment installation.

[0084] Optionally, the assembly error information of the installed segments during the assembly process can be calculated based on the obtained installation parameter information and by using preset analysis methods and models. It is understandable that this step requires comprehensive consideration of various factors in the installation process and the actual installation status of the installed segments. Specifically, assuming that the installation parameter information includes the actual installation position coordinates and the actual installation angle of the installed segments, and that the ideal installation position coordinates and the ideal installation angle can be obtained, the assembly error information of the installed segments can be the difference between the actual installation position coordinates and the ideal installation position coordinates, and the difference between the actual installation angle and the ideal installation angle, and the present application does not impose any restrictions on this.

[0085] Furthermore, the calculated assembly error information and attribute offset information can be processed comprehensively, such as by determining the logical relationship between the two to further integrate the above two information, so that the installation error information of the pipe segment to be installed can be determined. It can be understood that this step can fully consider the mutual influence and correlation between the two to obtain accurate installation error information. Optionally, the specific content of determining the installation error information of the pipe segment to be installed based on the assembly error information and the attribute offset information can be found in the detailed description of the following embodiment, and this application will not repeat it here.

[0086] In this example, the method of determining the installation error information is no longer limited to the property analysis of a single segment, but also takes into account the assembly error information of the installed segments, comprehensively combining the changes in the segment's own properties and the actual errors in the early installation process, which can more accurately reflect the complex situation in the actual construction, making the final installation error information of the segments to be installed more real and reliable. Compared with traditional methods, it can more effectively avoid the problem of overall installation error accumulation caused by incomplete local error analysis, thereby improving the installation quality and stability of prefabricated subway stations, reducing safety hazards and subsequent maintenance costs caused by installation errors, and improving the efficiency and reliability of the entire project.

[0087] In a possible implementation, determining the installation error information of the to-be-installed segment according to the assembly error information and the attribute offset information includes:

[0088] B1, extracting attribute error information and installation error information from the assembly error information;

[0089] B2. Construct a reference installation error information diagram based on the construction error information;

[0090] B3, determining a target installation error information map according to the attribute error information and the reference installation error information map;

[0091] B4. determining current attribute error information according to the attribute offset information;

[0092] B5. Determine the installation error information according to the target installation error information map and the current attribute error information.

[0093] The attribute error information may be partial error data separated from the existing assembly error information and related to the deviation of the segment's own attributes (such as height, width, length, inclination angle, rotation angle, etc.). The attribute error information may reflect the impact of the difference between the actual value and the ideal value of the segment attribute in the installed segment on the assembly.

[0094] The installation error information may be error data in the relative position or angle between segments caused by the installation process (such as installation position, installation sequence, installation process, etc.) in the assembly error information. Optionally, the collected assembly error information may be analyzed and screened. Specifically, a data table may be established to list different types of error data, and the segment number or installation position information to which it belongs may be marked, so as to accurately separate the attribute error information and the installation error information, so as to process and utilize them separately in the future.

[0095] The construction error information can be used to indicate the collection of various error data generated by the installed segments during the actual construction of the prefabricated subway station. The construction error information may include, but is not limited to, the size deviation, angle deviation, joint gap deviation, and position deviation of the segments, and may cover the errors that may be introduced in various links from segment production, transportation to installation.

[0096] The reference installation error information graph can be understood as a visualized or data-based information graph constructed based on the construction error information. The reference installation error information graph can be used to intuitively display the error distribution and change trend of the installed segments during the construction process, and can provide a basis for the subsequent determination of the target installation error information graph. Optionally, the construction error information accumulated during the construction process can be used to construct a reference installation error information graph through a preset algorithm or drawing method, so that complex error data can be presented in an intuitive form.

[0097] The target installation error information diagram can be used to indicate a targeted visualization of error information obtained after adjustment and conversion based on the existing reference installation error information diagram and combined with the attribute error information extracted from the assembly error information during the monitoring and identification process of assembly errors in prefabricated subway stations.

[0098] The target installation error information diagram can comprehensively reflect the ideal installation error distribution and trend under the current construction status after considering the influence of the segment attribute error. It can provide a key reference basis for accurately determining the installation error information of the segment to be installed, and help construction personnel intuitively understand the difference between the actual installation situation and the ideal state, thereby more effectively guiding subsequent installation work and improving the accuracy and reliability of the overall installation.

[0099] The current property error information can be used to indicate the error data determined according to the difference between the current property information of the segment to be installed and the preset property information. The current property error information can reflect the deviation of the segment's own properties such as size and angle from the design standard at the current moment. For example, if the actual length of the segment to be installed is longer than the preset length by a certain value, or the actual inclination angle of a corner deviates from the designed inclination angle, these differences can be calculated and sorted to form the current property error information.

[0100] The current attribute error information is crucial for accurately evaluating the actual status of the pipe segment, and for subsequently determining the installation error information and adjusting the installation parameters. It can help construction personnel to promptly discover the attribute problems of the pipe segment and take corresponding measures to correct the deviations, thereby ensuring the assembly quality of the prefabricated subway station. Furthermore, by comprehensively analyzing and calculating the target installation error information diagram and the current attribute error information, the installation error information of the pipe segment to be installed can be finally determined, which can provide a basis for the subsequent installation parameter adjustment.

[0101] In this example, by carefully decomposing and utilizing the assembly error information, we can have a deeper understanding of the root causes of the errors and clearly distinguish between problems with the segment's own attributes and problems in the installation process. By constructing a reference installation error information graph and further determining the target installation error information graph, the error situation during the construction process can be clearly seen, so that construction personnel can better grasp the overall construction quality and trends. By combining the attribute offset information to determine the final installation error information and fully considering the actual status and construction history of the segment, the accuracy and reliability of the installation error determination can be improved, thereby effectively reducing the error accumulation during the installation process, improving the installation accuracy and stability of prefabricated subway stations, ensuring project quality, and reducing later maintenance costs and safety risks.

[0102] In a possible implementation, constructing a reference installation error information map according to the construction error information includes:

[0103] C1. extracting construction error information of k installed segments from the construction error information to obtain k first installation error information;

[0104] C2, and extracting the overall installation error information of k installed segments before installation from the construction error information to obtain k overall installation error information;

[0105] C3. Construct an installation error information map based on k pieces of overall installation error information, k pieces of the first installation error information and corresponding segment identification information to obtain a reference installation error information map.

[0106] The k first installation error information can be used to indicate partial error information directly related to the installation operation, which is generated during the installation of the k installed segments and extracted from the total construction error information. For example, the positioning deviation of the segment during installation, the angle fine-tuning error during splicing, etc. The k first installation error information can reflect the impact of the installation process on the final position and posture of the segment.

[0107] The k pieces of overall installation error information can be used to indicate the relevant information of the comprehensive error conditions that existed before the k installed segments were installed. For example, the deviation information of the overall size, shape, etc. of the segments may be caused by mold accuracy problems during segment manufacturing, vibration or collision during transportation, etc. The k pieces of overall installation error information can reflect the initial state error of the segments before entering the installation phase.

[0108] The segment identification information may be a number or mark used to distinguish each segment. The segment identification information may be used to accurately match the error information of different segments, so as to facilitate data management and analysis, thereby ensuring that when constructing the installation error information diagram, the error data of each segment can be accurately integrated and displayed.

[0109] Furthermore, the obtained k overall installation error information and k first installation error information are integrated and associated with the corresponding segment identification information, and the above data can be converted into a visual installation error information map according to certain rules and layout using drawing software or algorithms, that is, the above reference installation error information map can be obtained.

[0110] In this example, by systematically organizing and summarizing the error data of the installed segments, the complex construction error information is presented in an intuitive graphical form, so that construction personnel can quickly and clearly understand the error conditions of different segments at different stages, making it easier to discover error patterns and trends. Based on the accurate association of segment identification information, the accuracy and traceability of error data are ensured, providing a reliable reference for subsequent error analysis and installation of new segments, helping to improve construction efficiency, prevent and correct possible installation problems in advance, thereby ensuring the assembly quality and overall structural stability of prefabricated subway stations, and reducing safety hazards and subsequent maintenance costs caused by error accumulation.

[0111] In a possible implementation, determining a target installation error information map according to the attribute error information and the reference installation error information map includes:

[0112] D1, extracting attribute error information of k installed segments from the attribute error information to obtain k first attribute error information;

[0113] D2. Determine the influence factors of k first attribute error information on the installation error information to obtain k error influence factors;

[0114] D3. Perform error conversion processing on the reference installation error information graph according to the k error influencing factors and the k first attribute error information to obtain the target installation error information graph.

[0115] The first attribute error information may be used to indicate part of the attribute error information selected from the attribute error information and related to k specific installed segments. The first attribute error information may focus on the attribute deviation of the k specific installed segments so as to analyze their impact on the installation error in a more targeted manner.

[0116] The error impact factor can be used as a quantitative indicator to measure the degree of influence of each first attribute error information on the final installation error information. The error impact factor can reflect the relative importance of the attribute error in the entire installation error system, and can be further calculated or obtained based on experience by comprehensively considering multiple factors, such as the position of the segment in the structure, the stress conditions, etc.

[0117] Furthermore, based on the calculated k error influencing factors and k first attribute error information, targeted error conversion processing is performed on the reference installation error information map, and the data and trends in the reference installation error information map are adjusted to incorporate the influence of attribute errors, thereby generating a target installation error information map.

[0118] Optionally, the process of performing error conversion processing on the reference installation error information graph according to the k error influencing factors and the k first attribute error information to obtain the target installation error information graph can be seen in the following formula:

[0119]

[0120] Among them, E tj It can represent the j-th target installation error information in the target installation error information graph, that is, the installation error information after error conversion processing; E 0j may represent the jth reference installation error information in the reference installation error information diagram, that is, the installation error information before the error conversion process; j may represent the index of the installation error information; i may represent the index of the installed segment; k may represent the number of installed segments; α ij It can represent the influence factor of the installation error information corresponding to the first attribute error information of the i-th installed segment; ΔA ij It can represent the j-th first attribute error information of the i-th installed segment.

[0121] It can be understood that the first attribute error information of the i-th installed segment can be ΔA i , optional, ΔA i =(ΔL i ,ΔW i ,ΔH i ,Δθ i ,Δw i ,…), where ΔL i Can provide error information for length, ΔW i Can be installed for width error information, ΔH i Can provide error information for height installation, Δθ i Error information can be installed for the tilt angle, Δw i Error information can be installed for the rotation angle.

[0122] In this example, the method provided by the embodiment of the present application breaks the limitation of traditional reliance on single installation error analysis, and comprehensively considers attribute error information. By accurately extracting and analyzing the first attribute error information and determining its influencing factors, it can more accurately evaluate the potential impact of the actual status of the installed segments on subsequent installations; and based on the target installation error information graph generated thereby, it can provide construction personnel with more targeted and accurate guidance, which helps to adjust the installation strategy in advance during the subsequent installation process, effectively reduce installation deviations caused by the accumulation of attribute errors, improve the overall installation accuracy and quality of prefabricated subway stations, ensure the structural stability and safety of the project, and reduce subsequent maintenance costs and potential risks.

[0123] For the above embodiments, please refer to Figure 2 , Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, such as Figure 2 As shown, it includes a processor, an input device, an output device and a memory, which are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;

[0124] Obtain current property information of the segments to be installed in the prefabricated subway station, and obtain installation parameter information in the prefabricated subway station;

[0125] Determine installation error information of the segment to be installed according to the current attribute information, the preset attribute information and the installation parameter information;

[0126] The initial installation parameters of the segment to be installed are adjusted according to the installation error information to obtain actual installation parameters.

[0127] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the terminal includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0128] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0129] In line with the above, see Figure 3 , Figure 3 The present application provides a schematic diagram of the structure of a prefabricated subway station assembly error monitoring and identification device. Figure 3 As shown, the device comprises:

[0130] An acquisition unit 301 is used to acquire current attribute information of the segments to be installed in the prefabricated subway station and to acquire installation parameter information in the prefabricated subway station;

[0131] A determination unit 302 is used to determine installation error information of the segment to be installed according to the current attribute information, the preset attribute information and the installation parameter information;

[0132] The adjustment unit 303 is used to adjust the initial installation parameters of the segment to be installed according to the installation error information to obtain actual installation parameters.

[0133] In a possible implementation, the determining unit 302 is specifically configured to:

[0134] Determine attribute offset information according to the current attribute information and the preset attribute information;

[0135] Determining assembly error information of the installed segments according to the installation parameter information;

[0136] The installation error information of the to-be-installed segment is determined according to the assembly error information and the attribute offset information.

[0137] In a possible implementation, in determining the installation error information of the to-be-installed segment according to the assembly error information and the attribute offset information, the determining unit 302 is specifically configured to:

[0138] Extracting attribute error information and installation error information from the assembly error information;

[0139] Constructing a reference installation error information map according to the construction error information;

[0140] Determine a target installation error information map according to the attribute error information and the reference installation error information map;

[0141] Determine current attribute error information according to the attribute offset information;

[0142] The installation error information is determined according to the target installation error information map and the current attribute error information.

[0143] In a possible implementation, in constructing a reference installation error information map according to the construction error information, the determining unit 302 is specifically configured to:

[0144] Extracting construction error information of k installed segments from the construction error information to obtain k first installation error information;

[0145] and extracting overall installation error information of k installed segments before installation from the construction error information to obtain k overall installation error information;

[0146] An installation error information graph is constructed based on k pieces of overall installation error information, k pieces of the first installation error information and corresponding segment identification information to obtain a reference installation error information graph.

[0147] In a possible implementation, in determining the target installation error information map according to the attribute error information and the reference installation error information map, the determining unit 302 is specifically configured to:

[0148] Extracting attribute error information of k installed segments from the attribute error information to obtain k first attribute error information;

[0149] Determine the influence factors of k first attribute error information on installation error information, and obtain k error influence factors;

[0150] The reference installation error information graph is subjected to error conversion processing according to the k error influencing factors and the k first attribute error information to obtain the target installation error information graph.

[0151] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods for monitoring and identifying assembly errors of prefabricated subway stations as recorded in the above method embodiments.

[0152] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute part or all of the steps of any one of the methods for monitoring and identifying assembly errors of prefabricated subway stations as recorded in the above method embodiments.

[0153] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0154] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0155] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0156] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0157] In addition, the functional units in the various embodiments of the application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software program modules.

[0158] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0159] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0160] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for monitoring and identifying assembly errors of prefabricated subway stations, characterized in that: The method comprises: Obtain current property information of the segments to be installed in the prefabricated subway station, and obtain installation parameter information in the prefabricated subway station; Determine installation error information of the segment to be installed according to the current attribute information, the preset attribute information and the installation parameter information; The initial installation parameters of the segment to be installed are adjusted according to the installation error information to obtain actual installation parameters.

2. The method for monitoring and identifying assembly errors of prefabricated subway stations according to claim 1 is characterized in that: The determining the installation error information of the to-be-installed segment according to the current attribute information, the preset attribute information and the installation parameter information includes: Determine attribute offset information according to the current attribute information and the preset attribute information; Determining assembly error information of the installed segments according to the installation parameter information; The installation error information of the to-be-installed segment is determined according to the assembly error information and the attribute offset information.

3. The method for monitoring and identifying assembly errors of prefabricated subway stations according to claim 2 is characterized in that: The determining the installation error information of the to-be-installed segment according to the assembly error information and the attribute offset information includes: Extracting attribute error information and installation error information from the assembly error information; Construct a reference installation error information diagram based on the construction error information; Determine a target installation error information map according to the attribute error information and the reference installation error information map; Determine current attribute error information according to the attribute offset information; The installation error information is determined according to the target installation error information map and the current attribute error information.

4. The method for monitoring and identifying assembly errors of prefabricated subway stations according to claim 3 is characterized in that: The step of constructing a reference installation error information map according to the construction error information includes: Extracting construction error information of k installed segments from the construction error information to obtain k first installation error information; and extracting overall installation error information of k installed segments before installation from the construction error information to obtain k overall installation error information; An installation error information graph is constructed based on k pieces of overall installation error information, k pieces of the first installation error information and corresponding segment identification information to obtain a reference installation error information graph.

5. The method for monitoring and identifying assembly errors of prefabricated subway stations according to claim 4 is characterized in that: The determining a target installation error information map according to the attribute error information and the reference installation error information map comprises: Extracting attribute error information of k installed segments from the attribute error information to obtain k first attribute error information; Determine the influence factors of k first attribute error information on installation error information, and obtain k error influence factors; The reference installation error information graph is subjected to error conversion processing according to the k error influencing factors and the k first attribute error information to obtain the target installation error information graph.

6. A prefabricated subway station assembly error monitoring and identification system, characterized in that: The system comprises: An acquisition unit, used to acquire current attribute information of the segments to be installed in the prefabricated subway station, and to acquire installation parameter information in the prefabricated subway station; a determining unit, configured to determine installation error information of the segment to be installed according to the current attribute information, the preset attribute information and the installation parameter information; An adjustment unit is used to adjust the initial installation parameters of the pipe segment to be installed according to the installation error information to obtain actual installation parameters.

7. The assembly error monitoring and identification system for assembled subway stations according to claim 6 is characterized in that: The determining unit is specifically used for: Determine attribute offset information according to the current attribute information and the preset attribute information; Determining assembly error information of the installed segments according to the installation parameter information; The installation error information of the to-be-installed segment is determined according to the assembly error information and the attribute offset information.

8. The assembly error monitoring and identification system for assembled subway stations according to claim 7 is characterized in that: In the aspect of determining the installation error information of the to-be-installed segment according to the assembly error information and the attribute offset information, the determining unit is specifically used to: Extracting attribute error information and installation error information from the assembly error information; Construct a reference installation error information diagram based on the construction error information; Determine a target installation error information map according to the attribute error information and the reference installation error information map; Determine current attribute error information according to the attribute offset information; The installation error information is determined according to the target installation error information map and the current attribute error information.

9. The assembly error monitoring and identification system for assembled subway stations according to claim 8 is characterized in that: In the aspect of constructing a reference installation error information map according to the construction error information, the determining unit is specifically used for: Extracting construction error information of k installed segments from the construction error information to obtain k first installation error information; and extracting overall installation error information of k installed segments before installation from the construction error information to obtain k overall installation error information; An installation error information graph is constructed based on k pieces of overall installation error information, k pieces of the first installation error information and corresponding segment identification information to obtain a reference installation error information graph.

10. The assembly error monitoring and identification system for assembled subway stations according to claim 9 is characterized in that: In the aspect of determining the target installation error information map according to the attribute error information and the reference installation error information map, the determining unit is specifically used to: Extracting attribute error information of k installed segments from the attribute error information to obtain k first attribute error information; Determine the influence factors of k first attribute error information on installation error information, and obtain k error influence factors; The reference installation error information graph is subjected to error conversion processing according to the k error influencing factors and the k first attribute error information to obtain the target installation error information graph.

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