Intelligent decision-making system for steel truss roof structure based on design and construction integration

Abstract

The present invention discloses an intelligent decision system for steel truss roof structure scheme based on design and construction fusion, comprising: a model building module, used for building a steel truss roof structure information model according to existing design drawings and design information; a model adjustment module, used for adjusting the boundary conditions of the steel truss roof structure information model according to construction implementation requirements, and generating an optimized steel truss roof structure information model; a sample generation module, used for generating multiple roof structure scheme samples containing evaluation reference information according to the optimized steel truss roof structure information model and evaluation reference information; a decision module, used for selecting the optimal roof structure scheme sample according to construction implementation requirements, generating decision suggestions for output; the present invention is used for applying intelligent technology in structural schemes, integrating technical resources and engineering construction experience, forming schemes to quickly optimize decisions, and reducing decision-making communication costs.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent decision-making of building structure solutions, and specifically relates to an intelligent decision-making system for steel truss roof structure solutions based on the integration of design and construction. Background Art

[0002] The traditional project organization and implementation methods are mainly based on parallel contracting of design and construction, which leads to disconnection between engineering design and construction, high management costs and great coordination difficulties. In order to effectively control construction investment and improve engineering quality and efficiency, my country promotes and applies the EPC model in engineering management practice. However, after decades of development, there are still problems such as insufficient market cultivation, incomplete operating mechanism, and insufficient deep integration of design and construction. The complete structural plan includes structural design and construction. The lack of deep integration of design and construction is mainly reflected in the fact that structural design is limited to the subjective nature of engineers and it is difficult to consider the economic efficiency of construction. It is difficult for design, construction and cost personnel to communicate closely, which makes it difficult to ensure the scientificity and feasibility of the construction plan, which is the core technical issue that hinders the development of EPC.

[0003] In the EPC project of complex structures, the structural scheme planning requires repeated communication and coordination between the design and construction, and then the construction cost is determined by the cost. Due to the existence of multiple construction methods, especially when certain construction conditions change during the planning process, it is difficult to make a better structural scheme decision within a limited time. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide an intelligent decision-making system for steel truss roof structure solutions based on design and construction integration, so as to solve the above-mentioned technical problems.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent decision-making system for steel truss roof structure solutions based on design and construction integration, including:

[0007] Model building module, used to establish a steel truss roof structure analysis model based on existing design drawings and design information, deepen component information based on the steel truss roof structure analysis model, and generate a steel truss roof structure information model;

[0008] The model adjustment module is used to determine one or more target construction methods according to the construction implementation requirements, and to adjust the boundary conditions of the steel truss roof structure information model according to the target construction method to generate the structural member bearing capacity requirement conditions, so as to generate an optimized steel truss roof structure information model;

[0009] A sample generation module is used to generate multiple roof structure solution samples containing evaluation reference information according to the optimized steel truss roof structure information model and evaluation reference information;

[0010] The decision-making module is used to select the optimal roof structure solution sample according to the construction implementation requirements and generate decision suggestions for output.

[0011] Furthermore, the model building module performs the following operations:

[0012] Obtain existing design drawings and design information;

[0013] Establish the structural analysis model of the steel truss roof according to the design drawings and design information;

[0014] The component information of the steel truss roof structure analysis model is obtained, all component information is further classified, and an information model of the steel truss roof structure component level is constructed according to the in-depth classification results to obtain the steel truss roof structure information model.

[0015] Furthermore, the model adjustment module performs the following operations:

[0016] Acquire construction implementation requirements, and screen the set of roof structure construction methods according to the construction implementation requirements to obtain one or more target construction methods;

[0017] Among them, the roof structure construction method set of the large-span steel truss roof structure includes high-altitude in-situ installation, lifting construction, jacking construction and sliding construction; the construction sequence of each roof structure construction method includes the forward construction method and the upper structure reverse construction method;

[0018] According to the target construction method, the demand conditions of the target construction method for the bearing capacity of the structural components are generated;

[0019] According to the demand conditions, the boundary conditions of the steel truss roof structure information model are adjusted to generate a structural analysis model of the target construction method;

[0020] According to the component optimization method, the structural analysis model of the target construction method is optimized to obtain the optimized steel truss roof structure information model.

[0021] Furthermore, the sample generation module performs the following operations:

[0022] Obtaining evaluation reference information; wherein the evaluation reference information includes the cost of materials consumed by the structure itself and the construction process, the labor cost of the target construction method, the cost of using construction machinery, and the estimated man-days corresponding to the target construction method;

[0023] According to the optimized steel truss roof structure information model, the target evaluation reference information corresponding to the needs is determined, and a roof structure solution sample containing the target evaluation reference information is generated.

[0024] Furthermore, the decision module performs the following operations:

[0025] Obtain bias information contained in construction implementation requirements;

[0026] Each roof structure solution sample is evaluated according to the bias information to obtain an evaluation result of each roof structure solution sample;

[0027] The roof structure solution sample with the best evaluation result is selected to generate decision suggestions for output.

[0028] Furthermore, the target evaluation reference information corresponding to the demand is determined according to the optimized steel truss roof structure information model, and a roof structure solution sample containing the target evaluation reference information is generated, including:

[0029] Obtain evaluation reference information and optimize the steel truss roof structure information model;

[0030] Acquire specific cost data groups of multiple project groups according to the evaluation reference information, and perform trustworthy verification on the project group of each specific cost data group to obtain the specific cost data group of the trustworthy project group as the trustworthy data group;

[0031] Evaluate the timeliness of each reliable data group and generate timeliness evaluation results;

[0032] Evaluate the overall consistency of each credible data group with the optimized steel truss roof structure information model and generate consistency evaluation results;

[0033] Comprehensively analyze the timeliness evaluation results and consistency evaluation results, and output a reliable data group that meets the needs of optimizing the steel truss roof structure information model as target evaluation reference information;

[0034] Based on the optimized steel truss roof structure information model, a roof structure solution sample containing target evaluation reference information is generated.

[0035] Further, specific cost data groups of multiple project groups are obtained according to the evaluation reference information, and the project group of each specific cost data group is verified to be trustworthy, so as to obtain specific cost data groups of trustworthy project groups as trustworthy data groups, including:

[0036] Acquire specific cost data groups of multiple project groups corresponding to the evaluation reference information, and acquire historical cost data corresponding to each specific cost data in the project group; wherein each specific cost data group includes multiple specific cost data;

[0037] Standardize each data feature rule, extract the specific cost data and corresponding historical cost data between different project groups, and obtain the cost features and corresponding historical features;

[0038] Each cost feature and the corresponding historical feature are represented by vectors, and a data comparison group is generated; wherein the data comparison group includes the cost feature vector and the corresponding historical feature vector;

[0039] Based on the cosine similarity calculation formula, the feature vector similarity calculation is performed on the feature vector information in each data comparison group to obtain the vector similarity of the feature vector information in each data comparison group;

[0040] Credibility verification is performed on the project group for each specific cost data group based on vector similarity;

[0041] If the vector similarity is not less than a preset similarity threshold, it is determined that the specific cost data corresponding to the vector similarity is credible data;

[0042] If all the specific cost data in the specific cost data group of any project group are credible data, the corresponding project group is determined to be a credible project group, and the corresponding specific cost data group is obtained as a credible data group.

[0043] Furthermore, the timeliness of each trusted data group is evaluated to generate timeliness evaluation results, including:

[0044] Obtain the scheme quotation timeliness data corresponding to each credible data group, determine whether the scheme quotation timeliness data meets the construction timeliness corresponding to the current optimized steel truss roof structure information model, and generate a timeliness evaluation result; wherein the timeliness evaluation result includes whether the construction timeliness is met or not;

[0045] Evaluate the overall consistency of each trusted data group with the optimized steel truss roof structure information model and generate consistency assessment results, including:

[0046] Compare and analyze each credible data in each credible data group with the overall required data of the optimized steel truss roof structure information model;

[0047] If the trusted data does not meet any of the required data in the overall required data of the optimized steel truss roof structure information model, the trusted data is marked as inconsistent;

[0048] If the trusted data meets any of the required data in the overall required data of the optimized steel truss roof structure information model, the trusted data is consistently marked;

[0049] Count the number of all consistent and inconsistent marks for each trusted data group, and determine whether the number of consistent marks meets the overall required data;

[0050] If the overall required data is met, the ratio of the number of consistent marks to the number of all marks is used as the consistency evaluation result of the corresponding credible data group and the optimized steel truss roof structure information model;

[0051] If the overall required data is not met, a null value is output as the consistency assessment result between the corresponding credible data group and the optimized steel truss roof structure information model.

[0052] Furthermore, the timeliness evaluation results and consistency evaluation results are comprehensively analyzed, and a credible data set that meets the requirements of the optimized steel truss roof structure information model is output as target evaluation reference information, including:

[0053] Obtaining timeliness assessment results of trusted data sets;

[0054] If the timeliness evaluation result is that the construction timeliness is not met, the credible data group is divided into an invalid data group;

[0055] If the timeliness assessment result is that the construction timeliness is met, obtaining the consistency assessment result of the trusted data group;

[0056] If the consistency evaluation result is not greater than a preset consistency evaluation threshold, the trusted data group is divided into an invalid data group;

[0057] If the consistency evaluation result is greater than a preset consistency evaluation threshold, the trusted data group is output as target evaluation reference information that meets the requirements of optimizing the steel truss roof structure information model.

[0058] Furthermore, an intelligent decision-making system for steel truss roof structure solutions based on design and construction integration also includes a decision-making scheduling allocation module; wherein the decision-making scheduling allocation module performs the following operations:

[0059] When any decision suggestion is adopted by the user, a task allocation plan is generated according to the construction implementation allocation conditions uploaded by the user; wherein the task allocation plan includes a plurality of different types of total task plans, and each total task plan includes a plurality of phased task plans;

[0060] Based on the task allocation platform and the task allocation scheme, multiple edge nodes and parent nodes are generated; wherein the engineering construction user end is connected to the edge node, and the edge node is connected to the task allocation platform through the parent node;

[0061] Receiving a first construction request from a construction user terminal through an edge node; wherein the first construction request includes current task request information and subsequent task request information;

[0062] Determine whether the current edge node meets the first construction request, and if so, obtain a phased task plan that meets the current phase of the engineering construction user end;

[0063] If not satisfied, generate an access strategy according to the first construction request, initiate a request to the edge cache module according to the access strategy, and obtain a phased task plan that meets the current stage of the engineering construction user terminal;

[0064] Determine whether the target permissions of the current engineering construction user end meet the stage access permissions;

[0065] If not, respond to the first construction request and return a phased task plan that meets the current phase of the engineering construction user terminal;

[0066] If satisfied, a second access policy is generated according to the target permission; wherein the second access policy includes the scope of pre-access to subsequent task request information;

[0067] Initiate a request to the parent node according to the second access strategy to determine whether the parent cache module has target content corresponding to the second construction request;

[0068] If so, respond to the first construction request and return the phased task plan and subsequent task information that are consistent with the current phase of the engineering construction user terminal;

[0069] If it does not exist, a second construction request is initiated to the task allocation platform through the parent node, and the first construction request is responded to, and a phased task plan that meets the current stage of the engineering construction user terminal is returned; wherein the second construction request includes subsequent task request information.

[0070] The beneficial effects of the present invention are:

[0071] The present invention proposes an intelligent decision-making system for steel truss roof structure solutions based on the integration of design and construction. In the structural solution, intelligent technology is applied, technical resources and engineering construction experience are integrated to form a solution rapid optimization decision-making technology, providing a core strategy and systematic method for solving this problem.

[0072] Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or they may be taught from the practice of the present invention. The purposes and other advantages of the present invention may be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0073] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0075] Figure 1 It is a flowchart of the implementation process of an intelligent decision-making system for steel truss roof structure solutions based on design and construction integration in an embodiment of the present invention;

[0076] Figure 2 A schematic diagram of system modules of an intelligent decision-making system for a steel truss roof structure solution based on design and construction fusion in an embodiment of the present invention;

[0077] Figure 3 It is a schematic diagram of the second module of an intelligent decision-making system for steel truss roof structure solutions based on design and construction integration in an embodiment of the present invention. DETAILED DESCRIPTION

[0078] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0079] like Figure 1 and Figure 2 As shown, the present invention proposes an intelligent decision-making system for steel truss roof structure solutions based on design and construction integration, including:

[0080] Model building module, used to establish a steel truss roof structure analysis model based on existing design drawings and design information, deepen component information based on the steel truss roof structure analysis model, and generate a steel truss roof structure information model;

[0081] The model adjustment module is used to determine one or more target construction methods according to the construction implementation requirements, and to adjust the boundary conditions of the steel truss roof structure information model according to the target construction method to generate the structural member bearing capacity requirement conditions, so as to generate an optimized steel truss roof structure information model;

[0082] A sample generation module is used to generate multiple roof structure solution samples containing evaluation reference information according to the optimized steel truss roof structure information model and evaluation reference information;

[0083] The decision-making module is used to select the optimal roof structure solution sample according to the construction implementation requirements and generate decision suggestions for output;

[0084] The model building module performs the following operations:

[0085] Obtain existing design drawings and design information;

[0086] Establish the structural analysis model of the steel truss roof according to the design drawings and design information;

[0087] Obtain the component information of the steel truss roof structure analysis model, conduct in-depth classification of all component information, and construct an information model of the steel truss roof structure component level according to the in-depth classification results to obtain the steel truss roof structure information model;

[0088] The model adjustment module performs the following operations:

[0089] Acquire construction implementation requirements, and screen the set of roof structure construction methods according to the construction implementation requirements to obtain one or more target construction methods;

[0090] Among them, the roof structure construction method set of the large-span steel truss roof structure includes high-altitude in-situ installation, lifting construction, jacking construction and sliding construction; the construction sequence of each roof structure construction method includes the forward construction method and the upper structure reverse construction method;

[0091] According to the target construction method, the demand conditions of the target construction method for the bearing capacity of the structural components are generated;

[0092] According to the demand conditions, the boundary conditions of the steel truss roof structure information model are adjusted to generate a structural analysis model of the target construction method;

[0093] According to the component optimization method, the structural analysis model of the target construction method is optimized to obtain the optimized steel truss roof structure information model;

[0094] The sample generation module performs the following operations:

[0095] Obtaining evaluation reference information; wherein the evaluation reference information includes the cost of materials consumed by the structure itself and the construction process, the labor cost of the target construction method, the cost of using construction machinery, and the estimated man-days corresponding to the target construction method;

[0096] According to the optimized steel truss roof structure information model, target evaluation reference information corresponding to the demand is determined, and roof structure solution samples containing the target evaluation reference information are generated; wherein the number of roof structure solution samples may be the same as or different from the number of target construction methods, for example, there may be multiple samples for one construction method, such as: for a certain method, using 10 or 15 machines of a certain type may generate different labor costs, machine usage fees, and estimated working days;

[0097] The decision module execution includes the following operations:

[0098] Obtaining the preference information contained in the construction implementation requirements; wherein the preference information is preferably the cost preference requirement of the user;

[0099] Each roof structure solution sample is evaluated according to the bias information to obtain an evaluation result of each roof structure solution sample; that is, a cost evaluation result of each roof structure solution sample;

[0100] Select the roof structure solution sample with the best evaluation result to generate a decision suggestion for output; that is, obtain the roof structure solution sample with the lowest cost to generate a decision suggestion for output;

[0101] The working principle and beneficial effects of the above technical solution are as follows: The present invention proposes an intelligent decision-making system for steel truss roof structure solutions based on design and construction fusion, and the specific implementation process of the system includes:

[0102] 1. Establish a structural analysis model of the steel truss roof based on the existing design drawings and design information;

[0103] 2. Based on the information of the structural analysis model, the components contained are further classified to construct an information model at the level of steel truss roof structure components;

[0104] 3. Based on the actual construction implementation needs, a variety of possible construction methods are initially selected. The construction methods of large-span steel truss roof structures mainly include high-altitude in-situ installation, lifting construction, jacking construction, sliding construction and other roof structure construction methods. The construction sequence is the forward construction method and the upper structure reverse construction method;

[0105] 4. Based on the preliminarily selected construction methods, generate the requirements for the bearing capacity of structural components for each construction method;

[0106] 5. Adjust the boundary conditions of the steel truss roof structure analysis model to generate a structural analysis model that takes the construction method into consideration (a sample of the roof structure solution that takes the construction method into consideration);

[0107] 6. Optimize the components of the structural analysis model considering the construction method to obtain the optimized steel truss roof structure information model;

[0108] 7. Based on the optimized steel truss roof structure information model, determine the material costs of the structure itself and the construction process, the labor costs of the construction method, the construction machinery usage fees, the relevant economic costs, and the estimated working days of the corresponding construction method;

[0109] 8. Generate multiple roof structure scheme samples considering construction methods;

[0110] 9. Evaluate based on the samples and make decisions based on the project construction and implementation needs;

[0111] It is worth noting that the above steps 4-8 are preferably implemented by programming and software calling to realize automatic intelligent processing and analysis. The structural optimization in step 6 uses mature structural analysis software, and the program calling can be implemented by means of an API interface or a preset program to simulate the manual operation process;

[0112] The present invention aims at the difficulty that it is difficult for design, construction and cost personnel to closely connect to form an efficient solution decision-making mechanism when making decisions on the EPC project structure plan. In the structural plan, intelligent technology is applied, technical resources and engineering construction experience are integrated to form a solution rapid optimization decision-making technology, which provides a core strategy and systematic method for solving this problem. At the same time, the system can reduce the number of personnel involved in the decision-making process, and the generation of solution decisions can be independently completed with less manpower allocation, which is beneficial to improving the economic benefits of decision output.

[0113] In one embodiment, target evaluation reference information corresponding to the demand is determined according to the optimized steel truss roof structure information model, and a roof structure solution sample containing the target evaluation reference information is generated, including:

[0114] Obtain evaluation reference information and optimize the steel truss roof structure information model;

[0115] According to the evaluation reference information, the specific cost data groups of multiple project groups are obtained, and the project group of each specific cost data group is verified to be credible, so as to obtain the specific cost data group of the credible project group as the credible data group; wherein the project group preferably refers to the set of the construction process costs of each structure in the internal construction plan, and the set includes the material costs of the structure itself and the construction process of each structure, the labor costs of the target construction method, the construction machinery use fees, and the estimated working days corresponding to the target construction method;

[0116] Evaluate the timeliness of each reliable data group and generate timeliness evaluation results;

[0117] Evaluate the overall consistency of each credible data group with the optimized steel truss roof structure information model and generate consistency evaluation results;

[0118] Comprehensively analyze the timeliness evaluation results and consistency evaluation results, and output a reliable data group that meets the needs of optimizing the steel truss roof structure information model as target evaluation reference information;

[0119] Based on the optimized steel truss roof structure information model, a roof structure solution sample with target evaluation reference information is generated;

[0120] The working principle of the above technical solution is: in order to improve the accuracy of the target evaluation reference information and help improve the efficiency and results of construction project decision-making management, this solution provides a method for multi-angle verification of the evaluation reference information, so as to quickly screen out the target evaluation reference information corresponding to the needs of the optimized steel truss roof structure information model; specifically, first obtain the evaluation reference information and the optimized steel truss roof structure information model, and then obtain the specific cost data groups of multiple project groups based on the evaluation reference information, among which the project group uploads the specific cost data of this project when submitting the plan, and then performs credible verification on the project group of each specific cost data group, and performs credible verification on the data source in advance, so as to identify potential trust issues in advance and ensure the reliability of subsequent decisions. Reliability, then take the specific cost data group of the trusted project group as the trusted data group. It is worth noting that there can be multiple trusted data groups; evaluate the timeliness of each trusted data group, determine whether it can complete the entire contracting project with the cost data in this construction project, generate a timeliness evaluation result, then evaluate the overall consistency of each trusted data group with the optimized steel truss roof structure information model, determine its adaptability to this construction project, generate a consistency evaluation result, and finally conduct a comprehensive analysis based on the timeliness evaluation results and the consistency evaluation results to determine the trusted data group whose timeliness evaluation results and consistency evaluation results meet the predetermined requirements, and output the trusted data group that meets the requirements of the optimized steel truss roof structure information model as the target evaluation reference information;

[0121] The beneficial effects of the above technical solution are: through the above technical solution, it is beneficial to improve the accuracy of target evaluation reference information and help improve the efficiency and results of construction project decision-making management.

[0122] In one embodiment, specific cost data groups of multiple project groups are obtained according to the evaluation reference information, and a trustworthy verification is performed on the project group of each specific cost data group to obtain specific cost data groups of trustworthy project groups as trustworthy data groups, including:

[0123] Acquire specific cost data groups of multiple project groups corresponding to the evaluation reference information, and acquire historical cost data corresponding to each specific cost data in the project group; wherein each specific cost data group includes multiple specific cost data;

[0124] Standardize each data feature rule, extract the specific cost data and corresponding historical cost data between different project groups, and obtain the cost features and corresponding historical features;

[0125] Each cost feature and the corresponding historical feature are represented by vectors, and a data comparison group is generated; wherein the data comparison group includes the cost feature vector and the corresponding historical feature vector;

[0126] Based on the cosine similarity calculation formula, the feature vector similarity calculation is performed on the feature vector information in each data comparison group to obtain the vector similarity of the feature vector information in each data comparison group;

[0127] Credibility verification is performed on the project group for each specific cost data group based on vector similarity;

[0128] If the vector similarity is not less than a preset similarity threshold, it is determined that the specific cost data corresponding to the vector similarity is credible data;

[0129] If all the specific cost data in the specific cost data group of any project group are credible data, the corresponding project group is determined to be a credible project group, and the corresponding specific cost data group is obtained as a credible data group;

[0130] The working principle of the above technical solution is: obtain specific cost data groups of multiple project groups corresponding to the evaluation reference information, and obtain historical cost data corresponding to each specific cost data in the project group; wherein each specific cost data group includes multiple specific cost data, and each historical cost data is the historical data of the project group corresponding to the specific cost data in the target upload platform; obtain data feature rules and perform standardization processing, extract data features of specific cost data between different project groups and data features of corresponding historical cost data according to the processed data feature rules, obtain cost features and historical features, and then convert the corresponding historical features of each cost feature pair into feature vectors, and generate data comparison groups according to the converted feature vectors, and based on the cosine similarity calculation rules, perform standardization processing on the features in each data comparison group. The vector information is used to calculate the feature vector similarity to obtain the vector similarity of the feature vector information in each data comparison group; the project group of each specific cost data group is verified to be credible according to the vector similarity, wherein if the vector similarity is not less than the preset similarity threshold, the specific cost data corresponding to the vector similarity is determined to be credible data; if the vector similarity is less than the preset similarity threshold, the specific cost data corresponding to the vector similarity is determined to be uncredible data, wherein the setting of the preset similarity threshold is preferably determined based on the average floating range of the cost data of each project group in recent years; finally, all data are counted, and if all the specific cost data in the specific cost data group of any project group are credible data, the corresponding project group is determined to be a credible project group, and the corresponding specific cost data group is obtained as a credible data group;

[0131] The beneficial effect of the above technical solution is: through the above technical solution, the data of the project team is analyzed one by one, and the abnormal cost data is accurately screened out, which is beneficial to identify potential problems in specific cost data groups in advance and adjust the trusted data group management strategy, thereby ensuring the smooth implementation of the construction project.

[0132] In one embodiment, the timeliness of each trusted data group is evaluated to generate a timeliness evaluation result, including:

[0133] Obtain the scheme quotation timeliness data corresponding to each credible data group, determine whether the scheme quotation timeliness data meets the construction timeliness corresponding to the current optimized steel truss roof structure information model, and generate a timeliness evaluation result; wherein the timeliness evaluation result includes whether the construction timeliness is met or not;

[0134] Evaluate the overall consistency of each trusted data group with the optimized steel truss roof structure information model and generate consistency assessment results, including:

[0135] Compare and analyze each credible data in each credible data group with the overall required data of the optimized steel truss roof structure information model;

[0136] If the trusted data does not meet any of the required data in the overall required data of the optimized steel truss roof structure information model, the trusted data is marked as inconsistent;

[0137] If the trusted data meets any of the required data in the overall required data of the optimized steel truss roof structure information model, the trusted data is consistently marked;

[0138] Count the number of all consistent and inconsistent marks for each trusted data group, and determine whether the number of consistent marks meets the overall required data;

[0139] If the overall required data is met, the ratio of the number of consistent marks to the number of all marks is used as the consistency evaluation result of the corresponding credible data group and the optimized steel truss roof structure information model;

[0140] If the overall required data is not met, a null value is output as the consistency assessment result between the corresponding credible data group and the optimized steel truss roof structure information model;

[0141] The working principle of the above technical solution is: obtain the scheme quotation timeliness data corresponding to each credible data group, judge whether the scheme quotation timeliness data meets the construction timeliness corresponding to the current optimized steel truss roof structure information model, and generate a timeliness evaluation result; wherein, the timeliness evaluation result includes meeting the construction timeliness and not meeting the construction timeliness. Since after the decision suggestion is output, it is necessary to wait for the user to make a decision selection, there is usually a waiting time in the middle. According to the average calculation of several historical waiting time data, an average waiting time is finally determined. The average waiting time is the construction timeliness corresponding to the current optimized steel truss roof structure information model. Judge whether the scheme quotation timeliness data meets the construction timeliness corresponding to the current optimized steel truss roof structure information model. Preferably, judge whether the last timeliness of the scheme quotation from the current time meets the construction timeliness corresponding to the current optimized steel truss roof structure information model. The above technical solution is used to prevent the problem that when the user decides on the decision suggestion, the generated decision fails due to the expiration of the specific scheme quotation timeliness, which reduces the reliability of the output decision.

[0142] Since the project team in this scheme does not collect proposals after the project is made public, but collects daily quotations from each participant in each construction demand before the project is decided, so in order to well adapt the matching degree between the participants and the actual construction project, this scheme conducts an adaptability evaluation on the overall consistency of each trusted data group and the optimized steel truss roof structure information model. Specifically, firstly, each trusted data in each trusted data group is compared and analyzed with the overall demand data of the optimized steel truss roof structure information model; if the trusted data does not meet any demand data in the overall demand data of the optimized steel truss roof structure information model, the trusted data is marked as inconsistent, that is, the trusted data is not needed in this construction project; if the trusted data does not meet any demand data in the overall demand data of the optimized steel truss roof structure information model, the trusted data is marked as inconsistent, that is, the trusted data is not needed in this construction project; The data meets any of the overall demand data of the optimized steel truss roof structure information model, and the trusted data is consistently marked, that is, the trusted data meets the requirements of this construction project; finally, the number of all consistent marks and inconsistent marks of each trusted data group is counted to determine whether the number of consistent marks meets the overall demand data, that is, to determine whether the requirements of this construction project can find one-to-one corresponding trusted data in the trusted data group, that is, to determine whether the project group corresponding to the trusted data group can independently complete this construction project; if the overall demand data is met, the ratio of the number of consistent marks to the number of all marks is used as the calculation method for the consistency evaluation result of the corresponding trusted data group and the optimized steel truss roof structure information model. ; where X represents the consistency assessment result, represents the number of consistent markers, Indicates the number of inconsistent marks; if the overall required data is not met, a null value is output as the consistency assessment result between the corresponding trusted data group and the optimized steel truss roof structure information model, that is, the return value is 0;

[0143] The beneficial effects of the above technical solution are: through the above technical solution, the timeliness and consistency evaluation of the trusted data group is completed, which is beneficial to improve the accuracy and timeliness of the data and provide accurate and reliable decision-making basis for subsequent decision output.

[0144] In one embodiment, the timeliness evaluation results and the consistency evaluation results are comprehensively analyzed to output a credible data group that meets the requirements of optimizing the steel truss roof structure information model as target evaluation reference information, including:

[0145] Obtaining timeliness assessment results of trusted data sets;

[0146] If the timeliness evaluation result is that the construction timeliness is not met, the credible data group is divided into an invalid data group;

[0147] If the timeliness assessment result is that the construction timeliness is met, obtaining the consistency assessment result of the trusted data group;

[0148] If the consistency evaluation result is not greater than a preset consistency evaluation threshold, the trusted data group is divided into an invalid data group;

[0149] If the consistency evaluation result is greater than a preset consistency evaluation threshold, the trusted data group is output as target evaluation reference information that meets the requirements of optimizing the steel truss roof structure information model;

[0150] Among them, the preset consistency evaluation threshold is determined according to the user-set value. It is worth noting that when no consistency evaluation result in the user-set value range is greater than the preset consistency evaluation threshold, the three credible data groups with the largest consistency evaluation results are taken as the target evaluation reference information that meets the requirements of optimizing the steel truss roof structure information model;

[0151] The beneficial effect of the above technical solution is that the accuracy and timeliness of data in construction project decision-making are ensured through the above technical solution.

[0152] like Figure 3 As shown, in one embodiment, a steel truss roof structure solution intelligent decision system based on design and construction integration also includes a decision scheduling allocation module; wherein the decision scheduling allocation module performs the following operations:

[0153] When any decision suggestion is adopted by the user, a task allocation plan is generated according to the construction implementation allocation conditions uploaded by the user; wherein the task allocation plan includes a plurality of different types of total task plans, and each total task plan includes a plurality of phased task plans;

[0154] Based on the task allocation platform and the task allocation scheme, multiple edge nodes and parent nodes are generated; wherein the engineering construction user end is connected to the edge node, and the edge node is connected to the task allocation platform through the parent node;

[0155] Receiving a first construction request from a construction user terminal through an edge node; wherein the first construction request includes current task request information and subsequent task request information;

[0156] Determine whether the current edge node meets the first construction request, and if so, obtain a phased task plan that meets the current phase of the engineering construction user end;

[0157] If not satisfied, generate an access strategy according to the first construction request, initiate a request to the edge cache module according to the access strategy, and obtain a phased task plan that meets the current stage of the engineering construction user terminal;

[0158] Determine whether the target permissions of the current engineering construction user end meet the stage access permissions;

[0159] If not, respond to the first construction request and return a phased task plan that meets the current phase of the engineering construction user terminal;

[0160] If satisfied, a second access policy is generated according to the target permission; wherein the second access policy includes the scope of pre-access to subsequent task request information;

[0161] Initiate a request to the parent node according to the second access strategy to determine whether the parent cache module has target content corresponding to the second construction request;

[0162] If so, respond to the first construction request and return the phased task plan and subsequent task information that are consistent with the current phase of the engineering construction user terminal;

[0163] If it does not exist, a second construction request is initiated to the task allocation platform through the parent node, and the first construction request is responded to, and a phased task plan that meets the current stage of the engineering construction user terminal is returned; wherein the second construction request includes subsequent task request information;

[0164] The working principle of the above technical solution is: in order to further improve the degree of automation of decision allocation, realize the accurate acquisition of project tasks by different project groups when processing multiple construction projects in parallel, and prevent the problem that the information synchronization between the decision-maker and the builder cannot be achieved when some construction conditions change during the construction process after the decision is issued and the decision needs to be modified, this system proposes a decision scheduling allocation module to solve the above problem; wherein, the implementation process of the decision scheduling allocation module includes the following steps:

[0165] After any decision suggestion is adopted by the user, a task allocation plan is generated according to the construction implementation allocation conditions uploaded by the user; wherein the task allocation plan includes a plurality of different types of general task plans, each of which includes a plurality of phased task plans, and preferably, the tasks can be divided into phases according to the construction implementation progress, including the economic indicator requirements, and then the time schedule is assigned to each phased task according to the specific working days; this step is used to divide the task progress into blocks, refine the management, and also help reduce the impact of subsequent changes to the construction tasks;

[0166] Based on the task allocation platform and the task allocation scheme, multiple edge nodes and parent nodes are generated; wherein, the engineering construction user end is connected to the edge node, and the edge node is connected to the task allocation platform through the parent node; wherein, the task allocation scheme includes determined block tasks and to-be-determined block tasks, each edge node is used to store a currently determined block task, the parent layer cache module corresponding to the parent node is used to store all determined block tasks, and the task allocation platform is used to store to-be-determined block tasks. It is worth noting that whether it is determined or not is determined by the user in the task allocation platform. Before the task is not obtained by the project team, the determined block task can be converted into a to-be-determined block task; this step is used to realize the accurate acquisition of project tasks by different project teams when processing multiple construction projects in parallel, and at the same time prevent the problem that the information synchronization between the decision-maker and the builder cannot be realized when some construction conditions change during the construction process after the decision is issued. The specific allocation scheme includes the following steps:

[0167] First, a first construction request from a construction user terminal is received through an edge node; wherein the first construction request includes current task request information and subsequent task request information, the construction user terminal is the aforementioned project group, and the scheme data submitted by the construction user terminal is also submitted through the user terminal, the current task request is the current block task in the execution process of the construction project, and the subsequent task is all the block tasks except the completed block tasks in the execution process of the construction project; then, it is determined whether the current edge node satisfies the first construction request, if the current edge node satisfies the first construction request, a phased task scheme that meets the current stage of the construction user terminal is obtained, it is worth noting that if the user terminal has not contracted any construction project, the returned task scheme is empty, if the current edge node does not meet the first construction request, an access policy is generated according to the first construction request, a request is initiated to the edge cache module according to the access policy, and a phased task scheme that meets the current stage of the construction user terminal is obtained, the access policy includes the construction project information corresponding to the current task request information; it is determined whether the target authority of the current construction user terminal meets the phase access authority, if the target authority of the current construction user terminal does not meet the phase access authority, In response to the first construction request, a phased task plan that meets the current stage of the engineering construction user terminal is returned, and the access rights of this stage are related to the subsequent task request information issued by it; if the target authority of the current engineering construction user terminal meets the phased access rights, a second access policy is generated according to the target authority; wherein the second access policy includes the range size for pre-accessing the subsequent task request information, and then a request is initiated to the parent node according to the second access policy to determine whether the parent layer cache module has the target content corresponding to the second construction request. If the parent layer cache module has the target content corresponding to the second construction request, in response to the first construction request, a phased task plan and subsequent task information that meet the current stage of the engineering construction user terminal are returned, otherwise a second construction request is initiated to the task allocation platform through the parent node, and in response to the first construction request, a phased task plan that meets the current stage of the engineering construction user terminal is returned; wherein the second construction request includes the subsequent task request information; further, after determining the task allocation data of any edge node, within a certain task time limit, when there is an access request initiated by the corresponding user terminal, the corresponding edge node is specified for it, so as to avoid repeated judgment on whether the edge node meets the first construction request;

[0168] The beneficial effects of the above technical solution are as follows: through the above solution, it is beneficial to improve the degree of automation of decision-making allocation, and by setting up multiple edge nodes, it is possible to achieve accurate acquisition of project tasks by different project groups when processing multiple construction projects in parallel. By adjusting the caching strategies of edge nodes and parent nodes, the task plans are gradually made public to the user end, and at the same time, a task allocation platform is established to manage undisclosed plans, so that the decision-maker can adjust and know the public status of the plan through this module, which is convenient for the decision-maker to make further adjustments. It is beneficial to solve the problem that when some construction conditions change during the construction process after the decision is issued and the decision needs to be modified, the information synchronization between the decision-maker and the builder cannot be achieved.

[0169] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. An intelligent decision-making system for steel truss roof structure solutions based on design and construction integration, characterized in that: include: Model building module, used to establish a steel truss roof structure analysis model based on existing design drawings and design information, deepen component information based on the steel truss roof structure analysis model, and generate a steel truss roof structure information model; The model adjustment module is used to determine one or more target construction methods according to the construction implementation requirements, and to adjust the boundary conditions of the steel truss roof structure information model according to the target construction method to generate the structural member bearing capacity requirement conditions, so as to generate an optimized steel truss roof structure information model; A sample generation module is used to generate multiple roof structure solution samples containing evaluation reference information according to the optimized steel truss roof structure information model and evaluation reference information; The decision-making module is used to select the optimal roof structure solution sample according to the construction implementation requirements and generate decision suggestions for output; The sample generation module performs the following operations: Obtaining evaluation reference information; wherein the evaluation reference information includes the cost of materials consumed by the structure itself and the construction process, the labor cost of the target construction method, the cost of using construction machinery, and the estimated man-days corresponding to the target construction method; Obtain optimized steel truss roof structure information model; Acquire specific cost data groups of multiple project groups according to the evaluation reference information, and perform trustworthy verification on the project group of each specific cost data group to obtain the specific cost data group of the trustworthy project group as the trustworthy data group; Evaluate the timeliness of each reliable data group and generate timeliness evaluation results; Evaluate the overall consistency of each credible data group with the optimized steel truss roof structure information model and generate consistency evaluation results; Comprehensively analyze the timeliness evaluation results and consistency evaluation results, and output a reliable data group that meets the needs of optimizing the steel truss roof structure information model as target evaluation reference information; Based on the optimized steel truss roof structure information model, a roof structure solution sample containing target evaluation reference information is generated.

2. According to claim 1, the intelligent decision-making system for steel truss roof structure scheme based on design and construction integration is characterized in that: The model building module execution includes the following operations: Obtain existing design drawings and design information; Establish the structural analysis model of the steel truss roof according to the design drawings and design information; The component information of the steel truss roof structure analysis model is obtained, all component information is further classified, and an information model of the steel truss roof structure component level is constructed according to the in-depth classification results to obtain the steel truss roof structure information model.

3. According to claim 1, the intelligent decision-making system for steel truss roof structure scheme based on design and construction integration is characterized in that: The model adjustment module performs the following operations: Acquire construction implementation requirements, and screen the set of roof structure construction methods according to the construction implementation requirements to obtain one or more target construction methods; Among them, the roof structure construction method set of the large-span steel truss roof structure includes high-altitude in-situ installation, lifting construction, jacking construction and sliding construction; the construction sequence of each roof structure construction method includes the forward construction method and the upper structure reverse construction method; According to the target construction method, the demand conditions of the target construction method for the bearing capacity of the structural components are generated; According to the demand conditions, the boundary conditions of the steel truss roof structure information model are adjusted to generate a structural analysis model of the target construction method; According to the component optimization method, the structural analysis model of the target construction method is optimized to obtain the optimized steel truss roof structure information model.

4. The intelligent decision-making system for steel truss roof structure scheme based on design and construction fusion according to claim 1 is characterized in that: The decision module execution includes the following operations: Obtain bias information contained in construction implementation requirements; Each roof structure solution sample is evaluated according to the bias information to obtain an evaluation result of each roof structure solution sample; The roof structure solution sample with the best evaluation result is selected to generate decision suggestions for output.

5. The intelligent decision-making system for steel truss roof structure scheme based on design and construction fusion according to claim 1 is characterized in that: According to the evaluation reference information, the specific cost data groups of multiple project groups are obtained, and the project group of each specific cost data group is verified to be credible, so as to obtain the specific cost data group of the credible project group as the credible data group, including: Acquire specific cost data groups of multiple project groups corresponding to the evaluation reference information, and acquire historical cost data corresponding to each specific cost data in the project group; wherein each specific cost data group includes multiple specific cost data; Standardize each data feature rule, extract the specific cost data and corresponding historical cost data between different project groups, and obtain the cost features and corresponding historical features; Each cost feature and the corresponding historical feature are represented by vectors, and a data comparison group is generated; wherein the data comparison group includes the cost feature vector and the corresponding historical feature vector; Based on the cosine similarity calculation formula, the feature vector similarity calculation is performed on the feature vector information in each data comparison group to obtain the vector similarity of the feature vector information in each data comparison group; Credibility verification is performed on the project group for each specific cost data group based on vector similarity; If the vector similarity is not less than a preset similarity threshold, it is determined that the specific cost data corresponding to the vector similarity is credible data; If all the specific cost data in the specific cost data group of any project group are credible data, the corresponding project group is determined to be a credible project group, and the corresponding specific cost data group is obtained as a credible data group.

6. The intelligent decision-making system for steel truss roof structure scheme based on design and construction fusion according to claim 1 is characterized in that: Evaluate the timeliness of each trusted data group and generate timeliness evaluation results, including: Obtain the scheme quotation timeliness data corresponding to each credible data group, determine whether the scheme quotation timeliness data meets the construction timeliness corresponding to the current optimized steel truss roof structure information model, and generate a timeliness evaluation result; wherein the timeliness evaluation result includes whether the construction timeliness is met or not; Evaluate the overall consistency of each trusted data group with the optimized steel truss roof structure information model and generate consistency assessment results, including: Compare and analyze each credible data in each credible data group with the overall required data of the optimized steel truss roof structure information model; If the trusted data does not meet any of the required data in the overall required data of the optimized steel truss roof structure information model, the trusted data is marked as inconsistent; If the trusted data meets any of the required data in the overall required data of the optimized steel truss roof structure information model, the trusted data is consistently marked; Count the number of all consistent and inconsistent marks for each trusted data group, and determine whether the number of consistent marks meets the overall required data; If the overall required data is met, the ratio of the number of consistent marks to the number of all marks is used as the consistency evaluation result of the corresponding credible data group and the optimized steel truss roof structure information model; If the overall required data is not met, a null value is output as the consistency assessment result between the corresponding credible data group and the optimized steel truss roof structure information model.

7. The intelligent decision-making system for steel truss roof structure scheme based on design and construction fusion according to claim 1 is characterized in that: Comprehensively analyze the timeliness evaluation results and consistency evaluation results, and output a reliable data set that meets the needs of optimizing the steel truss roof structure information model as target evaluation reference information, including: Obtaining timeliness assessment results of trusted data sets; If the timeliness evaluation result is that the construction timeliness is not met, the credible data group is divided into an invalid data group; If the timeliness assessment result is that the construction timeliness is met, obtaining the consistency assessment result of the trusted data group; If the consistency evaluation result is not greater than a preset consistency evaluation threshold, the trusted data group is divided into an invalid data group; If the consistency evaluation result is greater than a preset consistency evaluation threshold, the trusted data group is output as target evaluation reference information that meets the requirements of optimizing the steel truss roof structure information model.

8. The intelligent decision-making system for steel truss roof structure scheme based on design and construction fusion according to claim 1 is characterized in that: It also includes a decision scheduling allocation module; wherein the decision scheduling allocation module performs the following operations: When any decision suggestion is adopted by the user, a task allocation plan is generated according to the construction implementation allocation conditions uploaded by the user; wherein the task allocation plan includes a plurality of different types of total task plans, and each total task plan includes a plurality of phased task plans; Based on the task allocation platform and the task allocation scheme, multiple edge nodes and parent nodes are generated; wherein the engineering construction user end is connected to the edge node, and the edge node is connected to the task allocation platform through the parent node; Receiving a first construction request from a construction user terminal through an edge node; wherein the first construction request includes current task request information and subsequent task request information; Determine whether the current edge node meets the first construction request, and if so, obtain a phased task plan that meets the current phase of the engineering construction user end; If not satisfied, generate an access strategy according to the first construction request, initiate a request to the edge cache module according to the access strategy, and obtain a phased task plan that meets the current stage of the engineering construction user terminal; Determine whether the target permissions of the current engineering construction user end meet the stage access permissions; If not, respond to the first construction request and return a phased task plan that meets the current phase of the engineering construction user terminal; If satisfied, a second access policy is generated according to the target permission; wherein the second access policy includes the scope of pre-access to subsequent task request information; Initiate a request to the parent node according to the second access strategy to determine whether the parent cache module has target content corresponding to the second construction request; If so, respond to the first construction request and return the phased task plan and subsequent task information that are consistent with the current phase of the engineering construction user terminal; If it does not exist, a second construction request is initiated to the task allocation platform through the parent node, and the first construction request is responded to, and a phased task plan that meets the current stage of the engineering construction user terminal is returned; wherein the second construction request includes subsequent task request information.

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