Construction material management method and system based on time-varying characteristics of main body structure

Abstract

The invention provides a construction material management method and system based on main body structure time-varying features, and relates to the technical field of data processing, and the method comprises the steps: obtaining a building main body structure of a construction project, carrying out BIM modeling, carrying out feature recognition, including structure space change features, facility space change features of a matched construction facility, and structure strength change features, constructing an initial feature change matrix, obtaining a first construction node and a second construction node, performing assignment on the initial feature change matrix according to the change data set at the moment of node change, outputting a time-varying feature matrix, performing material abnormality positioning, outputting a material abnormality positioning result, and generating material reminding information. According to the method, the technical problems of low refinement degree and low construction efficiency caused by difficulty in accurately identifying material abnormity and incapability of quickly processing problems due to lack of careful monitoring and positioning capability on building main body structure change in traditional construction material management are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a construction material management method and system based on time-varying characteristics of a main structure. Background Art

[0002] With the continuous expansion of the scale of construction projects and the increase in engineering complexity, material supply chain management has become a key link to ensure the smooth progress of the project. Effective material management can improve construction efficiency, reduce costs, avoid resource waste and delays. At the same time, the popularization and application of digital technology and information means have also provided more opportunities for material management.

[0003] However, the commonly used construction material management methods today still have certain drawbacks. Traditional construction material management usually lacks the ability to monitor and locate changes in the main structure of the building, making it difficult to accurately identify material anomalies and quickly deal with problems, resulting in a low degree of refinement and low construction efficiency. Therefore, there is still room for improvement in construction material management. Summary of the invention

[0004] This application provides a construction material management method and system based on the time-varying characteristics of the main structure, aiming to solve the problem that traditional construction material management usually lacks the ability to carefully monitor and locate changes in the main structure of the building, making it difficult to accurately identify material anomalies and unable to quickly handle problems, resulting in technical problems such as low degree of refinement and low construction efficiency.

[0005] In view of the above problems, the present application provides a construction material management method and system based on the time-varying characteristics of the main structure.

[0006] The first aspect disclosed in the present application provides a construction material management method based on the time-varying characteristics of the main structure, the method comprising: obtaining the main building structure of the construction project, performing BIM modeling on the main building structure, and outputting a BIM building simulation model; performing feature recognition on the main building structure based on the BIM building simulation model, including the structural space variation characteristics of the main building structure, the facility space variation characteristics of the supporting construction facilities of the main building structure, and the structural strength variation characteristics of the main building structure; constructing an initial feature variation matrix according to the structural space variation characteristics, the facility space variation characteristics, and the structural strength variation characteristics; obtaining a first construction node and a second construction node of the construction project, wherein the first construction node and the second construction node belong to nodes in a preset cycle length among all nodes in the construction project; assigning values ​​to the initial feature variation matrix according to the change data set at the moment when the first construction node and the second construction node change, and outputting a time-varying feature matrix; locating material anomalies according to the time-varying feature matrix, outputting material anomaly positioning results, and generating material reminder information.

[0007] Another aspect disclosed in the present application provides a construction material management system based on time-varying characteristics of a main structure. The system is used in the above method, and the system includes: a main structure acquisition module, the main structure acquisition module is used to acquire the main structure of the building of the construction project, and perform BIM modeling on the main structure of the building, and output a BIM building simulation model; a feature recognition module, the feature recognition module is used to perform feature recognition on the main structure of the building based on the BIM building simulation model, including structural space variation characteristics of the main structure of the building, facility space variation characteristics of the supporting construction facilities of the main structure of the building, and structural strength variation characteristics of the main structure of the building; a change matrix construction module, the change matrix construction module is used to identify the structural space variation characteristics of the main structure of the building according to the structural space variation characteristics , the facility space change characteristics and the structural strength change characteristics, to construct an initial feature change matrix; a construction node acquisition module, the construction node acquisition module is used to acquire the first construction node and the second construction node of the construction project, wherein the first construction node and the second construction node belong to the nodes in all nodes in the construction project that are in a preset cycle length; a change matrix assignment module, the change matrix assignment module is used to assign the initial feature change matrix with the change data set at the moment when the first construction node and the second construction node change, and output a time-varying feature matrix; a material anomaly locating module, the material anomaly locating module is used to locate material anomalies according to the time-varying feature matrix, output material anomaly locating results, and generate material reminder information.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: Through BIM modeling and time-varying feature recognition, it is possible to accurately capture and identify the structural space changes, facility space changes, and structural strength changes of the main structure of the building; through BIM modeling and time-varying feature recognition, it is possible to accurately capture and identify the structural space changes, facility space changes, and structural strength changes of the main structure of the building; combined with BIM modeling and time-varying feature analysis, material management can be more refined and timely, and material anomalies can be quickly located and handled, thereby improving construction efficiency and reducing resource waste. Therefore, it realizes the detailed monitoring and positioning of changes in the main structure of the building, improves the efficiency and quality of material management, and solves the problem that traditional construction material management usually lacks the ability to monitor and locate changes in the main structure of the building, making it difficult to accurately identify material anomalies and quickly handle problems, resulting in technical problems such as low refinement and low construction efficiency.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flow chart of a construction material management method based on the time-varying characteristics of the main structure is provided for the embodiment of the present application; Figure 2 A possible structural schematic diagram of a construction material management system based on the time-varying characteristics of the main structure is provided for the embodiment of the present application.

[0011] Explanation of the reference numerals: main structure acquisition module 10 , feature recognition module 20 , change matrix construction module 30 , construction node acquisition module 40 , change matrix assignment module 50 , material anomaly positioning module 60 . DETAILED DESCRIPTION

[0012] The embodiments of the present application provide a construction material management method based on the time-varying characteristics of the main structure, thereby solving the problem that traditional construction material management usually lacks the ability to carefully monitor and locate changes in the main structure of the building, making it difficult to accurately identify material anomalies and quickly deal with problems, resulting in technical problems such as low degree of refinement and low construction efficiency. The embodiment of the present application realizes refined management of changes in the main structure of the building by using BIM modeling and time-varying characteristic analysis, thereby achieving the technical effect of improving the degree of refinement of material management and construction efficiency.

[0013] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification. Embodiment 1

[0014] like Figure 1 As shown, the embodiment of the present application provides a construction material management method based on the time-varying characteristics of the main structure, and the method includes: Obtaining the main building structure of the construction project, performing BIM modeling on the main building structure, and outputting a BIM building simulation model; Obtain relevant data on the main building structure of the construction project through design documents, planning drawings, etc. The main building structure includes components, walls, floor slabs, beams and columns, etc. Use professional BIM software, such as Revit, and use BIM (Building Information Modeling) technology to model the main building structure. BIM modeling is to simulate and establish a three-dimensional model of a building in a digital way, which includes information on physical and functional properties. When performing BIM modeling, modeling is performed based on the geometric shape and component characteristics of the main building structure, such as material type, size, strength, etc. After modeling is completed, it is exported as a BIM building simulation model.

[0015] Based on the BIM building simulation model, feature recognition is performed on the main structure of the building, including structural space variation features of the main structure of the building, facility space variation features of supporting construction facilities of the main structure of the building, and structural strength variation features of the main structure of the building; Analyze the BIM building simulation model to obtain the structural space change characteristics of the main structure of the building during the construction process, including changes in the position, shape, size, etc. of the components. For example, the position and number of columns, beams or floor slabs may change in different construction stages; as well as the facility space change characteristics, including the installation and layout of pipelines, cables, ventilation equipment, fire protection systems, etc.; and structural strength change characteristics, that is, the changes and loads that the main structure of the building may experience during the construction process. For example, when the project reaches a certain stage, some supporting structures may be dismantled or reinforced. By analyzing the BIM model, the structural strength change characteristics can be identified, including load changes, structural modifications, material usage and other aspects.

[0016] constructing an initial feature change matrix according to the structural space change characteristics, the facility space change characteristics and the structural strength change characteristics; According to the spatial variation characteristics of the structure, the spatial position, shape, size and other information of the main structure of the building are encoded. For example, they can be represented by coordinate systems, rectangular coordinates, vectors and the like. According to the timeline or construction stage, the coordinates or attribute data of each structural element are recorded. According to the spatial variation characteristics of the facilities, the installation position and layout of the supporting construction facilities are encoded. For example, the same coordinate system can be used to record the position, type or status of each construction facility at different time points. According to the strength variation characteristics of the structure, the strength and load variation of the structure are encoded. For example, a numerical scale can be used to represent the changes in the structure, and the strength or load attributes of each structural element can be recorded.

[0017] According to the above description, an initial characteristic change matrix is ​​constructed. The rows of this matrix represent different building elements, the columns represent different time points or construction stages, and the elements in the matrix represent the corresponding eigenvalues ​​or changes. Through this initial characteristic change matrix, we can clearly understand the spatial changes, facility changes and structural strength changes of the main structure of the building at different time points, which provides basic data for subsequent time-varying characteristic analysis and material management.

[0018] Acquire a first construction node and a second construction node of the construction project, wherein the first construction node and the second construction node are nodes in a preset cycle length among all nodes in the construction project; Determine the preset cycle duration for dividing the construction nodes. The preset cycle duration is set according to the needs of the specific project. For example, one day, week or month can be set as a cycle. Determine the appropriate duration according to the characteristics and progress of the project. According to the preset cycle duration, divide the time schedule of the entire construction project into several stages, and mark the start and end time of each stage. Among the nodes of the construction project, find the nodes in the preset cycle duration, and select the first construction node and the second construction node from the nodes as the objects of analysis. These two nodes may be adjacent nodes. Their selection is to analyze and evaluate the material management during the construction process, and further perform the assignment of the time-varying feature matrix and the location of material anomalies.

[0019] Assigning values ​​to the initial feature change matrix based on the change data set at the time when the first construction node and the second construction node change, and outputting a time-varying feature matrix; According to the change moments of the first construction node and the second construction node, the change data set between the two nodes is obtained, which includes the change information of the location, shape, size and other aspects of the structure, as well as the status and layout change of the facilities and other aspects.

[0020] The acquired change data set is applied to the initial feature change matrix. According to the change information recorded in the data set, the values ​​of the corresponding elements in the initial feature change matrix are updated. Different methods can be used for assignment according to different features and data sets, such as direct replacement, interpolation, statistical analysis, etc. According to the update results after assignment, a time-varying feature matrix is ​​obtained, which reflects the changes of the main structure of the building between the first construction node and the second construction node, and records the specific values ​​of different features at different time points, providing a basis for the subsequent location of material anomalies and the generation of reminder information.

[0021] Material anomaly positioning is performed according to the time-varying characteristic matrix, material anomaly positioning results are output, and material reminder information is generated.

[0022] First, it is necessary to determine the indicators used to judge material anomalies. For example, they can be some structural indicators, such as whether the size, shape or position of a structural element deviates from the preset specifications; they can also be some functional indicators, such as whether the facilities are correctly installed or configured. According to the changes of each feature recorded in the time-varying feature matrix over time, by comparing the expected value or historical data, the possible material anomaly can be identified. According to the pre-defined material anomaly indicators, each time point is checked to determine whether there is an abnormality. When the feature exceeds the normal range or has a large deviation from the expected value, it is regarded as a material anomaly. Through material anomaly positioning, the location or identification of the abnormal discovery is output as the material anomaly positioning result. Coordinates, node numbers or other appropriate methods can be used to accurately indicate the location or element where the material anomaly exists. And generate corresponding material reminder information, including detailed descriptions of specific material anomalies, recommended processing methods, responsible persons and other information. By generating material reminder information, relevant personnel can be notified in time to carry out necessary inspections, repairs or replacements to ensure construction quality and safety.

[0023] The initial feature change matrix is ​​assigned with a change data set at the time when the first construction node and the second construction node change, and a time-varying feature matrix is ​​output, including: Acquire multiple construction nodes of the construction project, model the main building structure according to the corresponding states of the multiple construction nodes, and output multiple BIM building simulation models; BIM software is used to model the main structure of the building according to the status of each construction node, that is, a specific time or construction stage. Each construction node corresponds to different changes in the main structure of the building. Through modeling, multiple BIM building simulation models are generated. Each model reflects the status of the main structure of the building under the corresponding construction node. These models can be sequential and continuous, or discrete and segmented, depending on the time interval and change amplitude between construction nodes.

[0024] After the first construction node and the second construction node are determined, the multiple BIM building simulation models are located to determine the BIM building simulation model corresponding to the first construction node and the BIM building simulation model corresponding to the second construction node; According to the node acquisition and division process in the previous steps, the first construction node and the second construction node are clearly determined, and multiple BIM building simulation models are located according to each node and its corresponding time point. Specifically, multiple BIM building simulation models are compared with the first construction node, and the model at the time point corresponding to the first construction node is found. By matching the time corresponding to the node, the model closest to or completely matching the time point is selected; similarly, multiple BIM building simulation models are compared with the second construction node, and the model at the time point corresponding to the second construction node is found. In this way, the BIM building simulation model corresponding to the first construction node and the BIM building simulation model corresponding to the second construction node are determined, which helps to ensure the accuracy and effectiveness of subsequent operations and provide correct input for feature analysis and material management during the construction process.

[0025] and connecting the digital twin system to load the BIM building simulation model corresponding to the first construction node and the BIM building simulation model corresponding to the second construction node to obtain a BIM change data set; Connect the digital twin system with the BIM modeling software. The digital twin system is a system that combines the physical and digital worlds and is used to simulate and analyze the status and performance of actual buildings in real time. Use the digital twin system to load the BIM building simulation model corresponding to the first construction node. The digital twin system can read and parse this model and associate it with the actual construction site. Similarly, use the digital twin system to load the BIM building simulation model corresponding to the second construction node. This model reflects the status of the main structure of the building at the second construction node. Through the connection and loading operations of the digital twin system, a BIM change data set is obtained. This data set contains the change information of the main structure of the building between the first construction node and the second construction node, including changes in position, shape, size, etc., as well as changes in attributes, facility status, etc.

[0026] The initial feature change matrix is ​​assigned with the BIM change data set, and a time-varying feature matrix is ​​output.

[0027] The BIM change data set is analyzed, including checking the change information under each node, understanding the changes in various aspects of the main structure, determining which characteristic values ​​or attribute values ​​correspond to the elements in the initial characteristic change matrix according to the content of the BIM change data set, defining an assignment rule, and filling the corresponding characteristic values ​​or attribute values ​​in the BIM change data set into the corresponding matrix elements according to the assignment rule, and assigning values ​​to the elements in the initial characteristic change matrix one by one. After completing the assignment operation, a time-varying characteristic matrix with assignment is obtained, which records the specific values ​​or attributes of each feature of the main structure of the building at different nodes.

[0028] Furthermore, obtaining the BIM change data set includes: Taking the BIM building simulation model corresponding to the first construction node as the first-party input, and the BIM building simulation model corresponding to the second construction node as the second-party input, similarity identification is performed in the constructed twin network to obtain the BIM change data set; wherein the twin network includes a first twin layer and a second twin layer, the first twin layer is used to perform three-dimensional coordinate identification on the data input by the first party, and the second twin layer is used to perform three-dimensional coordinate identification on the data input by the second party, and similarity identification is performed on the data input by the two parties.

[0029] The first twin layer, i.e., the first-party input, is specifically used to process the data of the first-party input, and includes a neural network architecture of a convolutional neural network to extract features from the data and perform three-dimensional coordinate recognition; the second twin layer, i.e., the second-party input, is similar to the first twin layer, and is used to process the data of the second-party input to extract features from the data and perform three-dimensional coordinate recognition. In the output layer or subsequent connection layer of the twin network, the outputs of the two twin layers are compared for similarity analysis, for example, by calculating the distance and similarity score between the two inputs, and the obtained similarity evaluation result is the BIM change data set, which reflects the changes in the main structure of the building.

[0030] Furthermore, it also includes: Obtaining initialization cycle durations of the first construction node and the second construction node; Retrieve the construction project's schedule document or corresponding planning arrangements to obtain detailed node information. According to the schedule document, find and determine the first construction node and the second construction node. Refer to the time intervals of adjacent nodes or corresponding regulations to determine the reference node time interval. In this way, the initialization cycle length of the first construction node and the second construction node is determined. This duration can be days, weeks, months, etc., depending on the requirements of project management and planning.

[0031] Obtaining a first characteristic change matrix based on the BIM building simulation model corresponding to the first construction node, and a second characteristic change matrix based on the BIM building simulation model corresponding to the second construction node; Use BIM software to open the BIM building simulation model corresponding to the first construction node, analyze the main building structure under the first construction node and extract relevant feature information, including the geometric shape, size, position, attributes, etc. of the structure. Based on these feature information, create and fill in the first feature change matrix. This matrix will use the selected features as rows and time or construction nodes as columns to record the specific values ​​of the corresponding features at the first construction node. Use the same method to create and fill in the second feature change matrix based on the feature information under the second construction node.

[0032] Taking the preset abnormality index as the response target, taking the first feature change matrix and the second feature change matrix as input variables, constructing a response equation, optimizing the initialization cycle duration using the response equation, and outputting the optimization result, wherein the optimization result is the preset cycle duration.

[0033] The preset abnormality index is determined according to the project requirements. The preset abnormality index is a quantitative indicator used to measure the degree of abnormality of the main structure of the building at different construction nodes or time points, such as the size deviation, shape change, material damage, etc. of certain components. According to the first characteristic change matrix and the second characteristic change matrix, as well as the preset abnormality index, a response equation is constructed. The expression of the response equation is: ; in, represents the first characteristic change matrix corresponding to the first construction node; represents the second characteristic change matrix corresponding to the second construction node; Indicates from Time has come The timing cycle of the moment, During the optimization process The corresponding preset abnormal index.

[0034] According to the above expression, a numerical optimization algorithm is used to solve the initialization cycle duration so as to minimize the objective function (i.e., the preset anomaly index). By continuously adjusting the value of the timing cycle, the optimal cycle duration is found within the specified time interval, thereby achieving the effect of optimizing material management and anomaly detection.

[0035] Furthermore, locating material anomalies according to the time-varying characteristic matrix, outputting material anomaly locating results, and generating material reminder information also includes: The materials are identified by the three-dimensional coordinates in each BIM building simulation model. When any three-dimensional coordinate is determined, the building material corresponding to the three-dimensional coordinate can be output; The required three-dimensional coordinate information is extracted from each BIM building simulation model. These coordinates represent the locations of different parts, components or elements of the building. A material identification library associated with the building model is created. This identification library records the building materials corresponding to each three-dimensional coordinate. When any three-dimensional coordinate is determined, the material identification library is queried and precise matching is performed based on the coordinates to obtain a more accurate material identification. Based on the matching results, the corresponding building material is output.

[0036] Extracting the change rate according to the time-varying feature matrix to obtain a coordinate set having a change rate greater than or equal to a preset change rate; Determine a preset change rate threshold, which defines the required degree of change, that is, the part greater than or equal to the change rate will be extracted, and use the time-varying feature matrix to calculate the change rate between the feature values ​​on adjacent nodes, such as calculating the difference, slope or percentage change, etc. For each feature, check at each node whether its change rate is greater than or equal to the preset change rate threshold. If so, add the corresponding coordinates to the set; if not, discard them. The coordinates that meet the change rate requirements are gradually added to a set to form a set of coordinates greater than or equal to the preset change rate. These coordinate sets represent locations where significant changes have occurred during the construction process, which are potential key points for the extraction of abnormalities or changes in construction materials.

[0037] After performing regional positioning on the BIM building simulation model according to the coordinate set, the identified building materials are output, thereby obtaining the material anomaly positioning result.

[0038] Using the coordinate set, regional positioning is performed in the BIM building simulation model according to the position information of each coordinate. Specifically, the corresponding building area is found by matching the coordinate points in the coordinate set with the positions in the BIM model, and the corresponding building material information is obtained in the located building area. The obtained building material information is sorted according to demand and output as material anomaly positioning results. These results characterize the specific location and characteristics of the abnormal materials, which will provide accurate information to help identify possible material problems or anomalies in the construction process and facilitate further processing and management.

[0039] Furthermore, it also includes: Determining whether the plurality of construction nodes include construction sub-nodes of subdivided processes; In the construction process, construction nodes refer to some important milestone nodes or nodes of key stages, while construction sub-nodes of subdivided processes refer to nodes of smaller granularity and more specific tasks in the construction process. According to the project requirements and the planned construction schedule, multiple construction nodes are determined. For each construction node, the scope of work and tasks involved are checked. If there are sub-nodes of smaller granularity and more specific tasks, that is, construction sub-nodes of subdivided processes, then these construction nodes are judged to include construction sub-nodes of subdivided processes; if there are no further subdivided into smaller subdivided process nodes, then it can be judged that these construction nodes do not include construction sub-nodes of subdivided processes.

[0040] When the multiple construction nodes include construction sub-nodes of subdivided processes, a BIM modeling granularity is set, BIM modeling is performed on each construction sub-node at the BIM modeling granularity, and the first sub-node and the second sub-node are obtained to locate material anomalies.

[0041] When construction sub-nodes of subdivided processes are included, set the appropriate BIM modeling granularity according to the requirements of the subdivided processes. For example, you can choose to use the same granularity uniformly on the entire building model, or you can set different granularities for different sub-nodes according to the characteristics and requirements of the construction sub-nodes. For the construction sub-nodes of each subdivided process, use the modeling software according to the set BIM modeling granularity to create components, elements or systems related to each sub-node, ensure accurate expression of the geometric shape, size, attributes, association relationship and other information of the construction sub-nodes, and complete the corresponding BIM modeling.

[0042] Using the first and second sub-nodes that have been modeled, according to the preset material anomaly indicators and judgment criteria, locate and identify the specific location of material anomalies or problems in the BIM model, and associate the anomaly information with the modeling elements, material properties and construction sub-nodes to form a complete material anomaly location result. After subdividing the process once, the refinement capability of material management is increased, the granularity of safety supervision is guaranteed, and fine-grained management is achieved, so that the management of subdivided processes and the precise location of material anomalies can be achieved, providing effective support for material management and safety supervision.

[0043] In summary, the construction material management method and system based on the time-varying characteristics of the main structure provided by the embodiments of the present application have the following technical effects: Through BIM modeling and time-varying feature recognition, it is possible to accurately capture and identify the structural space changes, facility space changes, and structural strength changes of the main structure of the building; through BIM modeling and time-varying feature recognition, it is possible to accurately capture and identify the structural space changes, facility space changes, and structural strength changes of the main structure of the building; combined with BIM modeling and time-varying feature analysis, material management can be more refined and timely, and material anomalies can be quickly located and handled, thereby improving construction efficiency and reducing resource waste. Therefore, it realizes the detailed monitoring and positioning of changes in the main structure of the building, improves the efficiency and quality of material management, and solves the problem that traditional construction material management usually lacks the ability to monitor and locate changes in the main structure of the building, making it difficult to accurately identify material anomalies and quickly handle problems, resulting in technical problems such as low refinement and low construction efficiency. Embodiment 2

[0044] Based on the same inventive concept as the construction material management method based on the time-varying characteristics of the main structure in the aforementioned embodiment, Figure 2 As shown, the present application provides a construction material management system based on the time-varying characteristics of the main structure, the system comprising: A main structure acquisition module 10, the main structure acquisition module 10 is used to acquire the main structure of the building of the construction project, perform BIM modeling on the main structure of the building, and output a BIM building simulation model; A feature recognition module 20, the feature recognition module 20 is used to perform feature recognition on the main structure of the building based on the BIM building simulation model, including structural space variation features of the main structure of the building, facility space variation features of supporting construction facilities of the main structure of the building, and structural strength variation features of the main structure of the building; A change matrix construction module 30, the change matrix construction module 30 is used to construct an initial feature change matrix according to the structural space change characteristics, the facility space change characteristics and the structural strength change characteristics; A construction node acquisition module 40, the construction node acquisition module 40 is used to acquire a first construction node and a second construction node of the construction project, wherein the first construction node and the second construction node are nodes in a preset cycle length among all nodes in the construction project; A change matrix assignment module 50, the change matrix assignment module 50 is used to assign the initial feature change matrix with the change data set at the time when the first construction node and the second construction node change, and output a time-varying feature matrix; The material anomaly locating module 60 is used to locate the material anomaly according to the time-varying characteristic matrix, output the material anomaly locating result, and generate material reminder information.

[0045] Furthermore, the system further comprises: A modeling module is used to obtain multiple construction nodes of the construction project, and model the main building structure according to the corresponding states of the multiple construction nodes, and output multiple BIM building simulation models; A positioning module, configured to locate the multiple BIM building simulation models after determining the first construction node and the second construction node, and determine the BIM building simulation model corresponding to the first construction node and the BIM building simulation model corresponding to the second construction node; A change data acquisition module is used to connect the digital twin system to load the BIM building simulation model corresponding to the first construction node and the BIM building simulation model corresponding to the second construction node to obtain a BIM change data set; An assignment module is used to assign the initial feature change matrix with the BIM change data set and output a time-varying feature matrix.

[0046] Furthermore, the system further comprises: An initialization cycle acquisition module, used to acquire the initialization cycle duration of the first construction node and the second construction node; A change matrix acquisition module, used to obtain a first characteristic change matrix based on the BIM building simulation model corresponding to the first construction node, and a second characteristic change matrix based on the BIM building simulation model corresponding to the second construction node; A response equation building module is used to build a response equation with a preset abnormal index as the response target, the first feature change matrix and the second feature change matrix as input variables, optimize the initialization cycle duration with the response equation, and output the optimization result, wherein the optimization result is the preset cycle duration.

[0047] Furthermore, the response equation is expressed as: ; in, represents the first characteristic change matrix corresponding to the first construction node; represents the second characteristic change matrix corresponding to the second construction node; Indicates from Time has come The timing cycle of the moment, During the optimization process The corresponding preset abnormal index.

[0048] Furthermore, the system further comprises: A similarity identification module is used to perform similarity identification in the established twin network using the BIM building simulation model corresponding to the first construction node as a first-party input and the BIM building simulation model corresponding to the second construction node as a second-party input to obtain the BIM change data set; A twin network description module is used in which the twin network includes a first twin layer and a second twin layer, the first twin layer is used to perform three-dimensional coordinate recognition on data input by a first party, and the second twin layer is used to perform three-dimensional coordinate recognition on data input by a second party, and perform similarity recognition on the data input by the two parties.

[0049] Furthermore, the system further comprises: The material identification module is used to identify materials with three-dimensional coordinates in each BIM building simulation model. When any three-dimensional coordinate is determined, the building material corresponding to the three-dimensional coordinate can be output; A coordinate set acquisition module, used to extract the change rate according to the time-varying feature matrix to obtain a coordinate set with a change rate greater than or equal to a preset change rate; The abnormal positioning result acquisition module is used to output the identified building materials after performing regional positioning on the BIM building simulation model according to the coordinate set, so as to obtain the material abnormal positioning result.

[0050] Furthermore, the system further comprises: A judgment module, used to judge whether the multiple construction nodes include construction sub-nodes of subdivided processes; The modeling granularity setting module is used to set the BIM modeling granularity when the multiple construction nodes include construction sub-nodes of subdivided processes, perform BIM modeling on each construction sub-node at the BIM modeling granularity, and obtain the first sub-node and the second sub-node to locate material anomalies.

[0051] Through the above-mentioned detailed description of the construction material management method based on the time-varying characteristics of the main structure in this specification, those skilled in the art can clearly understand the construction material management method and system based on the time-varying characteristics of the main structure in this embodiment. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0052] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A construction material management method based on the time-varying characteristics of the main structure, characterized in that: The method comprises: Obtaining the main building structure of the construction project, performing BIM modeling on the main building structure, and outputting a BIM building simulation model; Based on the BIM building simulation model, feature recognition is performed on the main structure of the building, including structural space variation features of the main structure of the building, facility space variation features of supporting construction facilities of the main structure of the building, and structural strength variation features of the main structure of the building; constructing an initial feature change matrix according to the structural space change characteristics, the facility space change characteristics and the structural strength change characteristics; Acquire a first construction node and a second construction node of the construction project, wherein the first construction node and the second construction node are nodes in a preset cycle length among all nodes in the construction project; Assigning values ​​to the initial feature change matrix based on the change data set at the time when the first construction node and the second construction node change, and outputting a time-varying feature matrix; Material anomaly positioning is performed according to the time-varying characteristic matrix, material anomaly positioning results are output, and material reminder information is generated.

2. The method according to claim 1, characterized in that The method of assigning values ​​to the initial feature change matrix based on the change data set at the time when the first construction node and the second construction node change, and outputting the time-varying feature matrix includes: Acquire multiple construction nodes of the construction project, model the main building structure according to the corresponding states of the multiple construction nodes, and output multiple BIM building simulation models; After the first construction node and the second construction node are determined, the multiple BIM building simulation models are located to determine the BIM building simulation model corresponding to the first construction node and the BIM building simulation model corresponding to the second construction node; and connecting the digital twin system to load the BIM building simulation model corresponding to the first construction node and the BIM building simulation model corresponding to the second construction node to obtain a BIM change data set; The initial feature change matrix is ​​assigned with the BIM change data set, and a time-varying feature matrix is ​​output.

3. The method according to claim 1, characterized in that The method further comprises: Obtaining initialization cycle durations of the first construction node and the second construction node; Obtaining a first characteristic change matrix based on the BIM building simulation model corresponding to the first construction node, and a second characteristic change matrix based on the BIM building simulation model corresponding to the second construction node; Taking the preset abnormality index as the response target, taking the first feature change matrix and the second feature change matrix as input variables, constructing a response equation, optimizing the initialization cycle duration using the response equation, and outputting the optimization result, wherein the optimization result is the preset cycle duration.

4. The method according to claim 3, characterized in that The response equation is expressed as: ； in, represents the first characteristic change matrix corresponding to the first construction node; represents the second characteristic change matrix corresponding to the second construction node; Indicates from Time has come The timing cycle of the moment, During the optimization process The corresponding preset abnormal index.

5. The method according to claim 2, characterized in that The method for obtaining the BIM change data set includes: Taking the BIM building simulation model corresponding to the first construction node as the first-party input and the BIM building simulation model corresponding to the second construction node as the second-party input, similarity identification is performed in the constructed twin network to obtain the BIM change data set; Among them, the twin network includes a first twin layer and a second twin layer, the first twin layer is used to perform three-dimensional coordinate recognition on the data input by the first party, and the second twin layer is used to perform three-dimensional coordinate recognition on the data input by the second party, and perform similarity recognition on the data input by the two parties.

6. The method according to claim 2, characterized in that Performing material anomaly location according to the time-varying characteristic matrix, outputting material anomaly location results, and generating material reminder information, the method further includes: The materials are identified by the three-dimensional coordinates in each BIM building simulation model. When any three-dimensional coordinate is determined, the building material corresponding to the three-dimensional coordinate can be output; Extracting the change rate according to the time-varying feature matrix to obtain a coordinate set having a change rate greater than or equal to a preset change rate; After performing regional positioning on the BIM building simulation model according to the coordinate set, the identified building materials are output, thereby obtaining the material anomaly positioning result.

7. The method according to claim 2, characterized in that The method further comprises: Determining whether the plurality of construction nodes include construction sub-nodes of subdivided processes; When the multiple construction nodes include construction sub-nodes of subdivided processes, a BIM modeling granularity is set, BIM modeling is performed on each construction sub-node at the BIM modeling granularity, and the first sub-node and the second sub-node are obtained to locate material anomalies.

8. A construction material management system based on the time-varying characteristics of the main structure, characterized in that: A construction material management method based on the time-varying characteristics of the main structure for implementing any one of claims 1 to 7, comprising: A main structure acquisition module, which is used to acquire the main building structure of the construction project, perform BIM modeling on the main building structure, and output a BIM building simulation model; A feature recognition module, the feature recognition module is used to perform feature recognition on the main structure of the building based on the BIM building simulation model, including structural space variation features of the main structure of the building, facility space variation features of supporting construction facilities of the main structure of the building, and structural strength variation features of the main structure of the building; A change matrix construction module, the change matrix construction module is used to construct an initial feature change matrix according to the structural space change characteristics, the facility space change characteristics and the structural strength change characteristics; A construction node acquisition module, the construction node acquisition module is used to acquire a first construction node and a second construction node of the construction project, wherein the first construction node and the second construction node are nodes in a preset cycle length among all nodes in the construction project; A change matrix assignment module, the change matrix assignment module is used to assign the initial feature change matrix with the change data set at the time when the first construction node and the second construction node change, and output a time-varying feature matrix; A material anomaly locating module is used to locate material anomalies according to the time-varying characteristic matrix, output material anomaly locating results, and generate material reminder information.

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