Railway sound barrier construction and operation period data information classification method and system

Abstract

The invention discloses a railway sound barrier construction and operation period data information classification method and system, and the method comprises the following steps: S1, constructing a multi-stage data structure system which covers the whole flow information of a sound barrier project; s2, performing standardized classification on the data in the multi-level data structure system; and S3, constructing an association relationship among the hierarchical data in the multi-level data structure system to form a hierarchical data management framework. By constructing a three-level data structure system of projects, work points and components and defining four data types of character strings and numerical arrays, hierarchical management is achieved through unique codes, application characteristics of the sound barrier combination components in the stages of design, construction, operation and maintenance are considered, a classification algorithm of the sound barrier combination components and associated data of the sound barrier combination components is compiled, and the classification efficiency of the sound barrier combination components is improved. A classification method of various components and associated data of the sound barrier is defined, the problems of data fragmentation and poor full-life-cycle applicability of a traditional data structure and classification method are solved, the sound barrier design efficiency and full-life-cycle management capability are improved, and the multi-specialty cooperation efficiency is improved; and the method has important engineering application value.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of railway sound barrier design, in particular to a railway sound barrier construction and operation period data information classification method and system. BACKGROUND

[0002] By June 2025, China's high-speed railway operating mileage has broken through 48,000 kilometers, ranking first in the world. As an important technical measure in the field of high-speed railway vibration and noise reduction, sound barriers have been widely used. In recent years, with the development of information technology, the realization of high-speed railway digital construction is of key significance to promoting China's independent high-speed railway technology to go global. It has played an important role in reducing railway construction costs and optimizing railway construction schemes in Yawan high-speed railway, China-Myanmar railway, Tanzania-Zambia railway and other projects, and is an important direction for the development of China's high-speed railway. In terms of realizing the digitization of high-speed railway sound barrier projects, the integration of data information at each stage is not complete, the data structure is quite different, the data precision and data depth are inconsistent, and the lack of correlation between data leads to data fragmentation, which restricts the application of digital technology in the whole life cycle of sound barriers. The traditional railway sound barrier design, construction relies on two-dimensional drawings, the multi-specialty collaboration efficiency is low, and it is difficult to use sound barrier data information to carry out whole life cycle management. Therefore, it is urgent to build a systematic data structure system suitable for railway sound barriers, which can not only store sound barrier design information and design requirements in engineering projects, but also be used for data storage in the engineering implementation and operation stage, so as to build a project engineering component database and input specific engineering construction information. The data content of the former is the general design requirements and common data information of the project, and the latter is the construction data information of the specific engineering entity, so as to meet the integrated management needs of multi-dimensional dynamic data such as geometric information, material properties and performance parameters in sound barrier design, construction and operation, realize fine data control from the engineering level to the component level, reduce design mistakes, and effectively improve the design, construction and operation management efficiency of China's high-speed railway sound barrier, reduce the cost of railway construction, and lay a solid foundation for realizing the technology of high-speed railway sound barrier going out of the country. SUMMARY

[0003] The present application aims to solve at least one of the problems in the prior art, discloses a railway sound barrier construction and operation period data information classification method and system. The present application builds a three-level data structure system of engineering, work site and component, defines four data types such as string and numerical array, and considers the application characteristics of sound barrier composite components in the design, construction, operation and maintenance stages, formulates the classification algorithm of sound barrier composite components and their associated data, and clearly defines the classification method of various components of sound barrier and their associated data, solving the problems of data fragmentation and poor whole life cycle applicability of traditional data structure and classification method, improving the design efficiency and whole life cycle management ability of sound barrier, and improving the multi-specialty collaboration efficiency.

[0004] The present application is realized by the following technical solutions:

[0005] The present application first provides a data information classification method for railway sound barrier construction and operation period, comprising the following steps:

[0006] S1, a multi-level data structure system is constructed, which covers the whole process information of the sound barrier;

[0007] S2, the data in the multi-level data structure system is standardized and classified;

[0008] S3, the association relationship between the data in each level of the multi-level data structure system is constructed, and a hierarchical data management framework is formed.

[0009] As a further solution, the construction of the multi-level data structure system in S1 comprises the following specific methods:

[0010] S11, the number of levels in the multi-level data structure system is determined:

[0011] S12, the multi-level data structure system is constructed according to the determined number of levels.

[0012] As a further solution, the specific method for determining the number of levels in the multi-level data structure system in S11 is that when the sound barrier engineering combined structure and its associated data items are divided into sound barrier work point level or sound barrier component level, the completeness coefficient K of the sound barrier combined structure should be calculated,

[0013] The calculation formula of the completeness coefficient K is:

[0014]

[0015] Wherein, K is the completeness coefficient, the value range is: 0~100; W i is the weight of each evaluation dimension; S i is the measured score of each dimension, with a full score of 10;

[0016] The fitting formula is: S=2.15m 0.8 n 0.05 q 1.5 -0.5lnp+1.2;

[0017] Wherein, S is the measured score of each dimension, m is the type of combined component under each dimension, n is the number of combined components under each dimension, q is the component type coverage ratio, and p is the average number of data items contained in each component; when K≥6, the sound barrier combined component should be classified as sound barrier work point level, and when K<6, the sound barrier combined component should be classified as sound barrier component level.

[0018] As a further solution, the method for constructing the multi-level data structure system according to the determined number of levels in S12 is:

[0019] S121, the overall statistical information of the railway project sound barrier engineering is constructed as engineering level data, which is defined as A level;

[0020] S122, the detailed design information of a single sound barrier work site is constructed as work site level data, which is defined as B level; wherein the detailed design information of a single sound barrier work site is divided into common data and external interface data;

[0021] S123, the properties and performance parameters of the sound barrier specific components are constructed as component level data, which is defined as C level.

[0022] As a further solution, the standardized classification includes positioning the data as four types of standardized data, and the four types are: string, string form, numerical array, and combined form, wherein,

[0023] the string is single text information;

[0024] the string form is a combination of multiple control requirements;

[0025] the numerical array is a numerical set with interval or recommended value;

[0026] the combined form is a mixed data of text and numerical value.

[0027] As a further solution, the determination method of the recommended value in the numerical array is: when the numerical array is marked as a single performance parameter requirement and the type is a numerical array, the numerical array structure adopts a fixed numerical array structure of [upper limit value, lower limit value, recommended value], and the numerical array gives a design recommended value according to the algorithm, wherein the upper limit value is the maximum value of the design parameter of the same project in the database, the lower limit value is the minimum value of the design parameter of the same project in the database, and the recommended value is the most average value of the design parameter of the same project in the database, and the recommended value of the numerical array is calculated by the following formula,

[0028] X upper limit = max(X);

[0029] X lower limit = min(X);

[0030] X recommended = average(X);

[0031] wherein X upper limit represents the upper limit value, and max(X) represents the maximum value; X lower limitrepresents the lower limit value, min(X) represents the minimum value; X recommended represents the recommended value, average(X) represents the average value.

[0032] As a further scheme, the association relationship between the hierarchical data in S3 is a hierarchical unique code, and the hierarchical unique code rule adopts a four-level code of "project-worksite-component-data item".

[0033] As a further scheme, the data information classification method of the railway sound barrier construction and operation period further comprises deeply integrating the multi-level data structure system with the BIM model, realizing the association of geometric information and attribute parameters, and the data in the multi-level data structure system at least comprises the material, performance index and construction standard of rubber parts, steel structural parts and concrete units.

[0034] As a further scheme, the method for deeply integrating the multi-level data structure system with the BIM model is:

[0035] T1, three-dimensional modeling is performed through BIM, and the sound barrier structure in the BIM model is classified and combined, and a plurality of railway sound barrier entity structures are established;

[0036] T2, the design and operation data information is decomposed into data items describing the sound barrier single performance or requirement;

[0037] T3, the data type of each data item in T2 is determined, and according to the characteristics of the sound barrier design and operation data, the data type is divided into four types;

[0038] T4, the data item is associated with each sound barrier entity structure;

[0039] T5, the data level of the data item is divided according to each sound barrier entity structure, and is divided into three levels;

[0040] T6, the coding between each data item and each sound barrier entity structure is determined.

[0041] The application also provides a data information classification system for railway sound barrier construction and operation period, which applies the data information classification method for railway sound barrier construction and operation period, and comprises a data acquisition module, a data processing module and a data generation module,

[0042] The data acquisition module is used for acquiring sound barrier whole-process information;

[0043] The data processing module is used for constructing a multi-level data structure system, and standardizing and classifying the data in the multi-level data structure system, and constructing the association relationship between each level;

[0044] The data generation module is used for generating a hierarchical data management framework.

[0045] Compared with the prior art, the railway sound barrier construction and operation period data information classification method and system has the following advantages:

[0046] (1) The present application provides a complete data management solution for railway sound barrier construction and operation period through hierarchical and standardized data structure design, significantly improving the accuracy and collaborative efficiency of complex structure design, and having important engineering application value.

[0047] (2) The present application solves the problem of traditional design data fragmentation by constructing a three-level data structure system of engineering, work site and component, defining four data types of string and numerical array, and realizing hierarchical management through unique coding, improving the design efficiency and whole life cycle management ability of sound barrier, and being suitable for forward design and operation and maintenance of full-closed and other complex structures.

[0048] (3) The present application supports whole life cycle applications such as collision checking, construction simulation and operation and maintenance analysis by binding data with three-dimensional model, reducing design rework rate and construction cost.

[0049] (4) The present application unifies data types and coding rules, improves multi-specialty collaborative efficiency and reduces information transmission error.

[0050] (5) The present application solves the problems of data fragmentation and poor whole life cycle applicability of traditional data structure and classification method by constructing a three-level data structure system of engineering, work site and component, defining four data types of string and numerical array, realizing hierarchical management through unique coding, and considering the application characteristics of sound barrier combined components in design, construction and operation and maintenance stages, compiling the classification algorithm of sound barrier combined components and their associated data, and clearly defining the classification method of sound barrier components and their associated data, improving the design efficiency and whole life cycle management ability of sound barrier, and improving the multi-specialty collaborative efficiency; having important engineering application value. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0052] Fig. 1 The flow chart of the railway sound barrier construction and operation period data information classification method described in the embodiments of the present application;

[0053] Fig. 2 The relationship diagram between each level associated by unique coding described in the embodiments of the present application;

[0054] Fig. 3 A flow chart of the multi-level data structure system and the deep integration with the BIM model according to the embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to facilitate the understanding of the present application, the present application will be described more fully below, and embodiments of the present application will be given, but the scope of the present application is not limited thereby.

[0056] A data information classification method for railway sound barrier construction and operation period, as shown in Figs. 1 to 3 , comprising the following steps:

[0057] S1, constructing a multi-level data structure system, the multi-level data structure system covering sound barrier design full-process information; S11, determining the number of levels in the multi-level data structure system:

[0058] When the sound barrier engineering combined structure and its associated data items are divided into sound barrier work site level or sound barrier component level, the completeness coefficient of the sound barrier combined structure should be considered:

[0059] The completeness coefficient is usually quantitatively scored in tenths, and the scores of each dimension are obtained through on-site detection, data checking, etc., and the final result is calculated by weighting. Considering the integrity of the sound barrier combined structure in the design, construction, operation and maintenance process, the final result is calculated by weighting. The evaluation dimensions of the completeness coefficient K mainly include four dimensions of design structure integrity, functional perfection, construction installation completeness and operation and maintenance consistency. The calculation formula of the completeness coefficient K is:

[0060]

[0061] Wherein, K is the completeness coefficient (value range: 0-100);

[0062] W i is the weight of each evaluation dimension (the weight of design structure integrity is 0.25, the weight of construction installation completeness is 0.25, the weight of operation and maintenance consistency is 0.25, and the weight of functional perfection is 0.25, and the total weight is 1);

[0063] S i is the measured score of each dimension (full score 10).

[0064] The measured score of each dimension considers the type m (the more the number, the higher the score) of sound barrier combination component, the number n (the more the number, the higher the score), the average number p (the more the number, the lower the score) of data items contained in each component of the combination component in this dimension, and the component type coverage ratio q (the higher the proportion, the higher the score). The combination component is a combination considering the application habit of sound barrier in the design, construction and operation stage. By calculating the measured score in each dimension, the total K value is calculated according to the weight, K≥6, the sound barrier combination component should be classified as a sound barrier work point, and K<6, the sound barrier combination component should be classified as a sound barrier component.

[0065] As shown in Table 1,

[0066] Table 1

[0067] S m n p q 1 3 1 2 2 0.1 2 4 2 10 15 0.2 3 4.5 5 5 10 0.2 4 5 5 10 15 0.2 5 5 5 7 20 0.2 6 6 6 10 15 0.2 7 6 6 8 20 0.2 8 6 6 6 15 0.3 9 7 8 10 15 0.4 10 8 10 15 15 0.6 11 9 12 20 15 0.9

[0068] The fitting formula is: S = 2.15m 0.8 n 0.05 q 1.5 -0.5lnp+1.2;

[0069] Wherein, S is the measured score of each dimension, m is the type of combination component in each dimension, n is the number of combination component in each dimension, q is the component type coverage ratio, and p is the average number of data items contained in each component;

[0070] Note: The type m and the number n of combination component in each dimension are basically the same (in a few cases, the type and the number of components may be reclassified according to different design, construction and operation stages), and the data items p and the component type coverage ratio q may be inconsistent.

[0071] Preferably, the multi-level data system is a three-level data system.

[0072] S12, the method for building a multi-level data structure system is, for example, a three-level data system:

[0073] S121, the overall statistical information of the railway project sound barrier engineering is constructed as engineering level data, defined as A level,

[0074] The engineering level data includes project name, design budget, construction drawing budget, environmental category, color tone requirement, seismic intensity, and reserved information summary table. In some embodiments, the reserved information summary table includes work point distribution, sensitive point distance, etc.

[0075] The role of constructing the engineering level data is to provide project level macro data for engineering planning and resource planning. S122, the detailed design information of a single sound barrier work point is constructed as work point level data, defined as B level, wherein the detailed design information of a single sound barrier work point is divided into common data and external interface data, the common data includes work point name, start / endpoint mileage, height, length, distance from sensitive point, insertion loss value, intensity verification result, service life, construction and maintenance requirements; the external interface data includes train flow, sound source intensity, basic wind pressure, design wind speed, ground roughness category, load combination information, and interfaces with line, meteorological, and catenary professional data.

[0076] The role of constructing the work point level data is to clarify the work point design parameters and support multi-specialty collaboration and collision checking. S123, the attributes and performance parameters of the sound barrier specific components are constructed as component level data, defined as C level, for realizing component level fine management.

[0077] The attributes of the components include rubber parts (material, dimensional tolerance, construction requirements), steel structure parts (corrosion prevention method, weld strength, deflection), concrete units (compressive strength, elastic modulus, shrinkage), unit plates (noise reduction coefficient, weighted sound insulation quantity, wind pressure resistance performance), fastening parts (model, corrosion prevention effect, tensile strength), etc. The performance parameters of the components include material parameters, performance indicators, construction standards, referenced specifications, and calculation results (such as natural frequency, insertion loss calculation sheet, structure verification calculation sheet).

[0078] The role of constructing the component level data is to provide accurate data support for component manufacturing, installation, and operation and maintenance.

[0079] The method covers engineering macro to component micro data through three-level structure, solves the data fragmentation problem, and makes it suitable for storing sound barrier design information and design requirements of a certain engineering project, and also suitable for data storage in the engineering implementation stage, constructing a project engineering component database, and filling in specific engineering construction information. The former is the general design requirements and common data information of the engineering, and the latter is the construction data information of the specific engineering entity.

[0080] S2, standardize and classify the data in the multi-level data structure system;

[0081] The standardized classification includes positioning the data as four types of standardized data, the four types are: string, string form, numerical array, and combined form, which are used to standardize the storage and retrieval of different types of information, and the combined form supports the integrated management of mixed text and numerical data.

[0082] String (String) is single text information.

[0083] In some embodiments, the string is "name" or "environment category-carbonized T2".

[0084] String Form, i.e., multiple control requirements combination.

[0085] In some embodiments, the string form is "construction requirements" including installation steps, quality standards, etc. Numerical Array, i.e., a set of numerical values with intervals or recommended values, when the numerical array is marked as a single performance parameter requirement and the type is a numerical array, the numerical array structure adopts a fixed numerical array structure of [upper limit value, lower limit value, recommended value]. The numerical array gives the design recommended value according to the algorithm, wherein the upper limit value is the maximum value of the design parameter of the same project in the database, the lower limit value is the minimum value of the design parameter of the same project in the database, and the recommended value is the most average value of the design parameter of the same project in the database. The recommended value of the numerical array is calculated by the following formula,

[0086] X upper limit = max(X);

[0087] X lower limit = min(X);

[0088] X recommended = average(X);

[0089] wherein X upper limit represents the upper limit value, and max(X) represents the maximum value; X lower limit represents the lower limit value, and min(X) represents the minimum value; X recommended represents the recommended value, and average(X) represents the average value.

[0090] Composite Form, i.e., mixed data of text and numerical value.

[0091] In some embodiments, the composite form is "insertion loss calculation form" including calculation conditions (numerical array) and result description (string).

[0092] S3, constructing the association relationship between each level of data in the multi-level data structure system to form a hierarchical data management framework.

[0093] The association relationship between each level of data is a hierarchical code, and the hierarchical code is a unique code; the hierarchical code rule adopts a four-level code of "project-worksite-component-data item".

[0094] In one embodiment, as Fig. 2The specific method of association between each level through unique coding is shown: A level (sound barrier engineering): sound barrier combination structure coding is a.1, the letter a indicates that the level is a level, and the number after the "." indicates the number of the sound barrier engineering combination structure in the database. The data items of this level are represented as a.1-a1-a8, and the coding before the "-" represents the sound barrier combination structure coding, and the coding after the "-" represents the data items, a total of 8 data item categories.

[0095] B level (sound barrier work site): sound barrier combination structure coding is a.1-b.1, the letter b indicates that the level is b level, and the number after the last "." indicates the number of the sound barrier work site combination structure in the database. The sound barrier combination structure coding of this level is two items connected by "-", the coding before the "-" represents the coding of the upper level of the sound barrier engineering level of the work site level, and the coding after the "-" represents the sound barrier combination structure of this level. The data items of this level are represented as a.1-b.1-b1-b29, and all the coding before the last "-" represents the sound barrier combination structure coding, and the coding after the last "-" represents the data items, a total of 29 data item categories.

[0096] c level (sound barrier component): sound barrier combination structure coding is a.1-b.1-ca.1 (rubber part), a.1-b.1-cb.1 (steel structure part), a.1-b.1-cc.1 (unit plate), a.1-b.1-cd.1 (fastener), a.1-b.1-ce.1 (concrete and mortar), the letters ca-ce indicate that the level is ca-ce level, and the number after the last "." indicates the number of the sound barrier component structure in the database. The sound barrier component structure coding of this level is three items connected by "-", the coding before the last "-" represents the coding of the upper level of the sound barrier engineering, sound barrier work site level of the component level, and the coding after the last "-" represents the sound barrier component of this level. The data items of this level are represented as a.1-b.1-ca-ce-ca1-ce15, and all the coding before the last "-" represents the sound barrier structure coding, and the coding after the last "-" represents the data items, a total of 72 (not fixed value) data item categories. "a.1-b.1-ca.1-ca1" represents the name of the No. 1 rubber part of Engineering 1 Work Site 1, which supports fast data positioning and tracing. Facilitate data query and application.

[0097] In another embodiment, the table data of the data content query method is shown in Tables 2 to 4, Table 2 is the A level sound barrier engineering information

[0098]

[0099]

[0100] Table 3 is the B-level sound barrier construction site information

[0101]

[0102]

[0103]

[0104] Table 4 is the C-level sound barrier component information:

[0105]

[0106]

[0107]

[0108] As can be known from Tables 2 to 4, a(1)-b(1)-ca(1)-ca1, wherein the numbers in the brackets represent numbers, and the combination of letters and numbers (not in the brackets) represent data items, this information indicates the name of the No. (1) rubber part of the project (1) construction site (1).

[0109] The railway sound barrier construction and operation period data information classification method provided by the application unifies the data type and coding rules, improves the multi-specialty collaboration efficiency, and reduces the information transmission error. It is suitable for various sound barrier types such as full-closed and upright, and compatible with the individual design requirements of different railway projects.

[0110] The railway sound barrier construction and operation period data information classification method provided by the application, wherein the data classification and coding method is suitable for storing the design information and design requirements of a certain engineering project sound barrier, and can also be used for data storage in the engineering implementation stage, constructing a project engineering component database, and filling in the specific engineering construction information. The former is the engineering general design requirements and common data information, and the latter is the construction data information of the specific engineering entity.

[0111] In the preliminary design stage, according to the design information and data classification method, a design information database of general design requirements and common data information is constructed; in the deepening design stage, on the basis of the preliminary design data information structure, each engineering specific component is instantiated in layers, and the data entry of the engineering actual application is completed; the data information formed in the deepening design stage is supplemented and modified in the construction and operation stage.

[0112] The data information classification method of the railway sound barrier construction and operation period also includes deeply integrating a multi-level data structure system with a BIM model, realizing the association of geometric information and attribute parameters, and the component level data at least including the material, performance index and construction standard of rubber parts, steel structural parts and concrete units. The geometric information is the information provided by the three-dimensional model during modeling, including various geometric dimensions, volume, weight and the like of the components, which can be measured through the three-dimensional model.

[0113] The specific method of the association of geometric information and attribute parameters is that the three-dimensional model is established by the BIM modeling method, and then the attributes of the geometric model are added through the right-click menu in the software.

[0114] As shown in Fig. 3 The specific method of deeply integrating the multi-level data structure system with the BIM model is:

[0115] T1, three-dimensional modeling is performed by BIM, and the sound barrier structure in the BIM model is classified and combined, and a plurality of railway sound barrier entity structures are established;

[0116] Specifically, the sound barrier structure is disassembled into sound barrier substructures according to the design depth and operation and maintenance requirements, the three-dimensional modeling function in the BIM software is used, the sound barrier substructure three-dimensional model is established according to the model geometric size information, and the sound barrier substructure three-dimensional model is combined to form each combined structure of the sound barrier. The data information of the sound barrier substructure and the sound barrier combined structure is entered and associated into the three-dimensional model established by the BIM design software.

[0117] T2, the design and operation data information is divided into data items describing the single performance or requirement of the sound barrier;

[0118] T3, the data type of each data item in T2 is determined, and the data type is divided into four types according to the characteristics of the sound barrier design and operation data;

[0119] T4, the data item is associated with the object described by the data item (i.e. each sound barrier entity structure);

[0120] T5, the data level of the data item is divided according to the object described by the data item (i.e. each sound barrier entity structure), and the data level is divided into three levels;

[0121] The sound barrier structure is disassembled and combined according to the design depth and operation and maintenance requirements, divided into three layers, the first layer is a sound barrier engineering, mainly representing all sound barrier structures of a certain railway project; the second layer is a sound barrier work point layer, mainly a work point of continuously setting sound barriers at a certain section position, composed of sound barrier components; the third layer is a sound barrier component layer, mainly including five types of components, namely rubber parts, steel structure parts, unit plates, fastening parts, concrete and mortar. Then the design and data operation and maintenance data are disassembled into data items describing the performance or requirements of the sound barrier combined structure and substructure, and the data items are associated with the sound barrier combined structure and substructure, and the layer level of the sound barrier structure associated with the data item is the layer level of the data item.

[0122] T6, determine the encoding of each data item and the object described by each data item.

[0123] The method supports collision checking, construction simulation, operation and maintenance analysis and other whole life cycle applications by binding data with three-dimensional models, reduces design rework rate and construction cost.

[0124] In some collision checking embodiments, the application scenario is: spatial position conflict detection of fully enclosed sound barrier steel structure frame and contact net support

[0125] 1. Data preparation

[0126] Work point layer (B layer) data: obtain the model geometric information and data of the 200m long sound barrier work point between K12+300-K12+500 and the reserved contact net support coordinates (stored in the data item of the reserved interface information summary table b30) through coding a.1-b.5.

[0127] Component layer (C layer) data: geometric size of steel structure "H-shaped steel frame", geometric information of reserved contact net foundation, length, width and height of three-dimensional model, and size deviation of steel frame installation position coordinates and size (corresponding component installation positioning parameters of coding a.1-b.5-cb.3).

[0128] 2. BIM model integration and collision detection

[0129] Import the work point layer data BIM model into the collision checking software (such as Autodesk Navisworks), associate the geometric information (three-dimensional model) of the steel structure component with the data items (reserved interface information summary table a.1-b.5-b30, size tolerance cb3).

[0130] Load the contact net support model and coordinate data (from the contact net professional BIM model), set the collision detection rules (such as the component spacing needs to be greater than or equal to 200mm).

[0131] System automatically identifies conflicts: detects that the H-shaped steel frame with number a.1-b.5-cb.3 has a horizontal distance of only 150 mm from the catenary support pillar, triggering a warning.

[0132] 3. Data traceability and optimization

[0133] First, adjust the reserved interface information summary table of a.1-b.5-b30, adjust the catenary reserved interface position, then optimize the geometric model of the catenary reserved interface of a.1-b.5-cb.3 in the BIM model, and finally query the weld strength design value of this component through coding a.1-b.5-cb.3-cb7 to confirm whether the installation angle can be adjusted to avoid conflicts.

[0134] After optimization, recheck for collisions until the safety distance requirement is met, forming a closed-loop control. In some construction simulation examples, the application scenario is: full-enclosed sound barrier steel structure hoisting process simulation and resource optimization

[0135] 1. Data input and process modeling

[0136] Engineering level (A level): construction budget (a4) for resource allocation, such as the number of cranes, hoisting period. Worksite level (B level): construction requirements (b18, string table contains "hoisting sequence: first column, then beam"), strength verification results (b8, confirming that the component bearing capacity is qualified).

[0137] Component level (C level): steel structure weight (three-dimensional model calculation volume × material density cb2), hoisting point position (installation instructions in construction requirements cb14).

[0138] 2. 4D construction simulation (time + space)

[0139] In the BIM platform (such as Bentley Synchro), divide the construction section according to the work site mileage K12+300-K12+500, and associate the component installation sequence.

[0140] Input crane movement path (calculate ground bearing capacity based on ground roughness category b28), component hoisting time (calculate according to weight = three-dimensional model calculation volume × material density cb2 and equipment performance).

[0141] Simulation discovery: the original plan is to hoist 10 steel frames per day, but due to insufficient crane turning radius, the process conflict needs to be adjusted to 8 per day.

[0142] 3. Construction scheme optimization

[0143] Based on the simulation results, update the daily hoisting amount in the construction requirements b18, and simultaneously adjust the resource budget a4 at the engineering level.

[0144] Output construction guidance documents, including component hoisting sequence animation, equipment scheduling table (associated with component code and location), to improve on-site construction efficiency.

[0145] In some acoustic verification embodiments, the application scenario is: sensitive point noise reduction effect verification and unit panel selection optimization 1. Acoustic model establishment and data association

[0146] Workpoint level (B level): sensitive point distance b6 (e.g. 50m from residential area), insertion loss value design target b7 (13.5dB), train sound source strength b21 (100dB@25m).

[0147] Component level (C level): unit panel noise reduction coefficient cc9 (0.85), weighted sound insulation cc10 (35dB), associated combination table "insertion loss calculation single b14".

[0148] 2. Acoustic calculation and simulation

[0149] Use acoustic software (such as Cadna / A) to import the geometric model output by BIM, set boundary conditions: sound barrier height b4 (4.8m), ground absorption coefficient (from ground roughness category b28).

[0150] Input data items: train running speed (b11 recommended value 250km / h) corresponding sound source strength correction, unit panel material cc9 (metal perforated plate) noise reduction coefficient.

[0151] Calculation results: noise value at sensitive point is 65dB, lower than standard limit (70dB), but there is deviation between measured value of insertion loss (12.5dB) and design target (13.5dB).

[0152] 3. Design optimization and verification

[0153] Trace back unit panel component data: find that the sound insulation of the unit panel of the sound barrier is insufficient cc10, which affects the noise reduction effect. Update the weighted sound insulation of the unit panel cc10 to 32dB to meet the design requirements.

[0154] Output acoustic verification report, associated with component code a.1-b.5-cc.1, to provide baseline data for noise monitoring in the operation and maintenance stage.

[0155] In one embodiment, taking the newly built Xiongshang high-speed rail full-closed sound barrier project as an example:

[0156] 1. Engineering level: enter the project name "Xiongshang high-speed rail full-closed sound barrier project", design budget [5000 million, 4500 million, 4800 million], environmental category "carbonization T2".

[0157] 2. Worksite level: for K12+300-K12+500 work site, set height [5m, 4.5m, 4.8m], insertion loss value [15dB, 12dB, 13.5dB], and train sound source intensity data provided by the docking catenary professional.

[0158] 3. Component level: steel structure "H-shaped steel frame" is recorded with material Q345B, weld strength [250MPa, 235MPa, 240MPa], and corrosion method "hot dip galvanizing", and the geometric size and installation position in the associated BIM model.

[0159] 4. Data application: query the weld strength of the third steel structure of work site 5 by coding "a.1(1)-b(5).5-cb(3).3-cb7", which is used for construction quality verification; and use the combined form "insertion loss calculation form" to verify the noise reduction effect of the sound barrier on the sensitive point, and optimize the structure design.

[0160] A data information classification system for railway sound barrier construction and operation period is realized by using the above method, comprising a data acquisition module, a data processing module and a data generation module,

[0161] The data acquisition module is used to acquire sound barrier design whole process information;

[0162] The data processing module is used to construct a multi-level data structure system, and standardize and classify the data in the multi-level data structure system, and construct the association relationship between each level;

[0163] The data generation module is used to generate a hierarchical data management framework.

[0164] The railway sound barrier construction and operation period data information classification method and system provided by the application constructs a three-level data structure system of engineering, work site and component, defines four data types such as string and numerical array, and realizes hierarchical management through unique coding. The data structure is integrated with the BIM model, supports multi-professional collaboration, collision checking and construction simulation, solves the problem of fragmentation of traditional design data, improves the design efficiency and whole life cycle management ability of the sound barrier, and is suitable for forward design and operation and maintenance of complex structures such as full enclosure.

[0165] It should be noted that the above only describes the preferred embodiments of the application and does not limit the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the application shall be included in the protection scope of the application.

Claims

1. A method for classifying data during the construction and operation of railway sound barriers, characterized by: The steps include: S1. Construct a multi-level data structure system, which covers the entire process of noise barrier design; S2. performing standardized classification on the data in the multi-level data structure system; S3. Construct the association relationship between the data at each level in the multi-level data structure system to form a hierarchical data management framework.

2. The method for classifying data during the construction and operation of railway sound barriers according to claim 1, characterized in that: The multi-level data structure system constructed in S1 includes the following specific methods: S11. Determine the number of levels in the multi-level data structure system: S12. Construct a multi-level data structure system according to the determined number of levels.

3. The method for classifying data during the construction and operation of railway sound barriers according to claim 2, characterized in that: The specific method for determining the number of levels in the multi-level data structure system in S11 is: When the combined structure of the sound barrier project and its associated data items are divided into the sound barrier work point level or the sound barrier component level, the integrity coefficient of the combined structure of the sound barrier should be calculated. The calculation formula of the integrity coefficient K is: Among them, K is the integrity coefficient, ranging from 0 to 100; W i is the weight of each evaluation dimension; S i The actual measurement score of each dimension is 10 points; The fitting formula is: S = 2.15m 0.8 n 0.05 q 1.5 -0.5lnp+1.2; Among them, S is the measured score of each dimension, m is the type of composite components under each dimension, n is the number of composite components under each dimension, q is the component type coverage ratio, and p is the average number of data items contained in each component; when K≥6, the sound barrier composite component should be classified as the sound barrier work point level, and when K<6, the sound barrier composite component should be classified as the sound barrier component level.

4. The method for classifying data during the construction and operation of railway sound barriers according to claim 2, characterized in that: The method for constructing a multi-level data structure system according to the determined number of levels in S12 is: S121. Construct the overall statistical information of the railway project sound barrier project into project-level data, defined as level A; S122. Construct detailed design information of a single sound barrier work site into work site-level data, defined as level B; wherein the detailed design information of a single sound barrier work site is divided into common data and external interface data; S123. Construct the properties and performance parameters of the specific components of the sound barrier into component-level data, which is defined as the C level.

5. The method for classifying data during the construction and operation of railway sound barriers according to claim 1, characterized in that: Standardized classification includes locating data into four standardized data types: string, string form, numeric array, and combination form. A string is a single text message; The string form is a combination of multiple control requirements; Numeric arrays are collections of values ​​with intervals or recommended values; A combined form contains mixed text and numeric data.

6. The method for classifying data during the construction and operation of railway sound barriers according to claim 5, characterized in that: The recommended values ​​in the numeric array are determined as follows: When the numerical array is marked as a single performance parameter requirement and the type is a numerical array, its numerical array structure adopts a fixed numerical array structure of [upper limit value, lower limit value, recommended value]. The numerical array gives the design recommended value according to the algorithm, where the upper limit value is the maximum value of the design parameter of the same project in the database, the lower limit value is the minimum value of the design parameter of the same project in the database, and the recommended value is the average value of the design parameter of the same project in the database. The recommended value of the numeric array is calculated by the following formula, X upper limit =max(X); X lower limit =min(X); X recommended =average(X); Among them, X upper limit represents the upper limit value, max(X) represents the maximum value; X lower limit represents the lower limit, min(X) represents the minimum value; X recommended represents the recommended value, and average(X) represents the average value.

7. The method for classifying data during the construction and operation of railway sound barriers according to claim 1, characterized in that: The association relationship between the data at each level in S3 is a hierarchical unique code, and the hierarchical unique coding rule adopts a four-level coding of "project-work site-component-data item".

8. The method for classifying data during the construction and operation of railway sound barriers according to claim 1, characterized in that: It also includes deep integration of a multi-level data structure system with a BIM model to achieve the association between geometric information and attribute parameters. The data in the multi-level data structure system includes at least the materials, performance indicators and construction standards of rubber parts, steel structures and concrete units.

9. The method for classifying data during the construction and operation of railway sound barriers according to claim 8, characterized in that: The method of deeply integrating the multi-level data structure system with the BIM model is: T1. Use BIM to conduct 3D modeling and classify and combine the sound barrier structures in the BIM model to establish multiple railway sound barrier physical structures; T2. Decompose the design and operation and maintenance data into data items that describe the individual performance or requirements of the sound barrier; T3. Determine the data type of each data item in T2 and divide it into four data types based on the characteristics of noise barrier design and operation data; T4. Associate the data items with the physical structures of each sound barrier; T5. Divide the data items into three levels according to the physical structure of each sound barrier; T6. Determine the coding between each data item and each sound barrier entity structure.

10. A data information classification system for railway sound barrier construction and operation periods, applying the data information classification method for railway sound barrier construction and operation periods according to any one of claims 1 to 9, characterized in that: Including data acquisition module, data processing module and data generation module, The data acquisition module is used to collect information about the entire process of the sound barrier; The data processing module is used to build a multi-level data structure system, standardize and classify the data in the multi-level data structure system, and build the relationship between each level; The data generation module is used to generate a hierarchical data management framework.

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