CN-121979862-A - Building engineering data sharing method and system based on cloud platform

CN121979862ACN 121979862 ACN121979862 ACN 121979862ACN-121979862-A

Abstract

The invention relates to the technical field of building information, in particular to a cloud platform-based building engineering data sharing method and system, which comprise the following steps: based on the full life cycle data specification of the building engineering, the initial model and the structural constraint are extracted, the data efficiency stability and the cross-stage splicing capability under the difference scene are analyzed, key fracture nodes are identified, the data structure and the sharing response are optimized through the hierarchical index and the prediction map, the key performance index is analyzed and the configuration is adjusted to obtain the data sharing performance optimization trend analysis conclusion.

Inventors

MAI GUOYU
WU JIANPING
LI MINGWEI
TAN WEILIANG

Assignees

开平骏朋建筑工程有限公司

Dates

Publication Date: 20260505
Application Date: 20260123

Claims (10)

1. The building engineering data sharing method based on the cloud platform is characterized by comprising the following steps of: S1, extracting an initial data model and structural constraint conditions based on data description specifications of a full life cycle stage of a building engineering, identifying a plurality of groups of candidate data organization modes, and carrying out preliminary screening through an engineering logic consistency check mechanism to obtain a data organization data set meeting the constraint; s2, based on the data organization data set meeting the constraint, extracting the data calling efficiency and the structural stability of each data organization mode in a differential engineering scene, analyzing the cross-stage data connection capacity and the redundancy control level, and identifying key data fracture nodes to obtain a key node data association characteristic set; S3, based on the key node data association feature set, regulating a data storage and call path by adopting a hierarchical index reconstruction strategy, constructing a data association prediction map, and optimizing a data organization structure and a shared response speed by adjusting logic level distribution to obtain a construction engineering data sharing architecture scheme; and S4, based on the construction engineering data sharing architecture scheme, extracting a data call failure record and a structure conflict log in an original engineering case, detecting the robustness of the architecture scheme, and analyzing the continuous service capability of the architecture scheme in an engineering environment to obtain a data sharing performance-optimized result data table.
2. The cloud platform-based building engineering data sharing method according to claim 1, wherein the data organization data set meeting constraints comprises data hierarchy definition, entity relation mapping rules and cross-stage reference constraints, the key node data association feature set comprises data fracture position identification, reference failure frequency and structural coupling strength, the building engineering data sharing architecture scheme comprises a reconstructed logic hierarchy structure, an index path configuration strategy and a shared response delay index, and the data sharing performance tuning achievement data table comprises robustness assessment conclusion and environment continuous service capability analysis data.
3. The cloud platform-based construction engineering data sharing method according to claim 1, wherein the step of organizing the data set to satisfy the constraint specifically comprises: S101, extracting a hierarchical division rule, entity attribute definition and reference boundary conditions of an initial data model based on a data description specification of each stage of a full life cycle of the building engineering, and constructing a plurality of groups of candidate data organization modes; s102, based on the plurality of groups of candidate data organization modes, marking structural constraint conditions of each mode, eliminating modes violating engineering logic consistency, storing the modes into a candidate scheme database, and generating a candidate scheme sequence; and S103, based on the candidate scheme sequence, invoking an engineering logic consistency check mechanism, carrying out structural compliance verification on each data organization mode, screening scheme combinations meeting the constraint, storing the scheme combinations into a scheme database, and updating check state identifiers to obtain a data organization data set meeting the constraint.
4. The cloud platform-based construction engineering data sharing method according to claim 3, wherein the step of associating the key node data with the feature set specifically comprises: S201, based on the data organization data set meeting the constraint, extracting data call response time, structure change frequency and cross-stage quotation success rate of each data organization mode in a differential engineering scene, analyzing data continuity and structure evolution risk, and identifying key data fracture nodes to obtain a data fracture node distribution diagram; S202, extracting the position and occurrence frequency of a reference failure event based on the data fracture node distribution diagram, analyzing potential data isolation risks by combining a structural coupling strength evaluation model, and recording key data association characteristics to obtain a key node data association characteristic set.
5. The cloud platform-based construction engineering data sharing method according to claim 4, wherein the construction engineering data sharing architecture scheme specifically comprises the following steps: S301, extracting an association fracture mode of data fracture nodes based on the key node data association feature set, analyzing potential relations among the data, identifying influence factors, optimizing association and visualization of the map, and constructing a data association prediction map; s302, based on the data association prediction graph, adjusting logic level distribution, optimizing index path configuration, analyzing response efficiency of the path configuration, performing path reconstruction and optimization, balancing data calling and path storage, optimizing data circulation, testing response speed after optimization, and obtaining a preliminary optimization framework; s303, analyzing the configuration of the reconstructed logic hierarchy structure and the index path based on the preliminary optimization framework, comparing shared response delay indexes before and after optimization, and counting the optimization effect to obtain a construction engineering data sharing framework scheme.
6. The cloud platform-based construction engineering data sharing method according to claim 5, wherein the step of the data sharing performance tuning post-result data table specifically comprises: S401, based on the construction engineering data sharing architecture scheme, extracting a data call failure record and a structure conflict log in an original engineering case, wherein the data call failure record and the structure conflict log comprise multi-specialty collaborative interrupt events and version misplacement cases, detecting the robustness of the architecture scheme, and analyzing the adaptation capability of the architecture scheme in an engineering environment to obtain a robustness assessment conclusion; S402, based on the robustness assessment conclusion and in combination with an environment continuous service capability analysis model, predicting service stability trend of the sharing architecture in the whole project period, and counting fluctuation range of key performance indexes to obtain a data sharing performance tuning post-result data table.
7. The cloud platform-based construction engineering data sharing method according to claim 6, wherein the environment continuous service capability analysis model is combined with a robustness assessment conclusion, a key service stability prediction algorithm is adopted to analyze service stability trend of a data sharing architecture in a project whole period, and fluctuation range of key performance indexes is counted to obtain a prediction result; The service stability trend refers to predicting service stability change of the shared architecture under the differentiated time node based on a robustness assessment conclusion and an environment continuous service capability analysis model, and obtaining a data result of the service stability trend.
8. The cloud platform-based construction engineering data sharing method according to claim 1, wherein the method further comprises the step of S5: S5, extracting key performance indexes of an optimization framework based on the data sharing performance-optimized result data table, analyzing the performance of the optimization framework in a differentiated chemical engineering scene, screening a service fluctuation scene, and combining a data association prediction map to adjust framework configuration so as to obtain a data sharing performance optimization trend analysis conclusion; The data sharing performance optimization trend analysis conclusion comprises a key performance index change trend, scene suitability analysis and architecture optimization potential evaluation.
9. The cloud platform-based construction engineering data sharing method according to claim 8, wherein the data sharing performance optimization trend analysis conclusion step specifically comprises: S501, extracting key performance index data under differential process scenes based on the data sharing performance adjusted result data table, eliminating abnormal values, matching scene numbers, and analyzing service fluctuation range to obtain a performance index set; S502, based on the performance index set, classifying and arranging according to engineering scene types, identifying scenes with large service fluctuation range, analyzing data-associated fracture characteristics, combining with a framework optimization potential evaluation model, and identifying an optimization space to obtain a data sharing performance optimization trend analysis conclusion.
10. A cloud platform based construction engineering data sharing system, wherein the system is configured to implement the cloud platform based construction engineering data sharing method of any one of claims 1 to 9, the system comprising: The data organization screening module extracts hierarchical structure definition, entity relation rules and reference constraint conditions in an initial data model according to the engineering full life cycle data description specification, groups candidate data organization modes, checks whether each group of modes accords with the structure constraint conditions, and screens scheme combinations meeting the requirements to obtain a data organization data set meeting the constraint; The data association analysis module extracts data calling efficiency and structure stability data of each data organization mode in a differentiated chemical engineering scene based on the data organization data set meeting the constraint, analyzes cross-stage quotation success rate, structure change sensitivity and redundancy control capability of each scheme, compares and analyzes data continuity of the scheme, marks out fracture risk nodes and obtains a key node data association feature set; The shared architecture generating module carries out reconstruction optimization on a logic level, an index path and a reference boundary at the risk node based on the key node data association feature set, dynamically adjusts the level distribution and optimizes the data organization structure by analyzing the coupling strength of the data calling path and the local structure, and obtains a construction engineering data shared architecture scheme; the robustness verification module extracts call failure records and structure conflict logs in an original engineering case based on the construction engineering data sharing architecture scheme, analyzes stability and continuous service capability of a sharing architecture in an engineering environment by combining multi-specialty collaborative interrupt data and version misplacement events, identifies potential service failure points, and obtains a result data table after data sharing performance is adjusted; And the scene adaptation module analyzes scene adaptation performance and service fluctuation characteristics of the shared architecture based on the data sharing performance adjusted result data table and combining engineering scene change parameters, reconstructs an index path with response delay overrun in a target scene, optimizes architecture configuration, improves sharing suitability and obtains a data sharing performance optimization trend analysis conclusion.

Description

Building engineering data sharing method and system based on cloud platform Technical Field The invention relates to the technical field of building information, in particular to a cloud platform-based building engineering data sharing method and system. Background The technical field of building information mainly relates to the digital acquisition, organization, storage, transmission and utilization of various information in the whole life cycle of building engineering, and covers drawing and parameter data of engineering design stage, progress and quality data of construction stage and inspection and record data of supervision stage. The traditional building engineering data sharing method refers to data exchange requirements around links such as building engineering design construction supervision, and the like, relies on information systems respectively built by various building units, transmits data such as design files, construction records, supervision reports and the like through manual input, file copying, mail transmission or point-to-point interface modes, adopts fixed format documents or special data tables for storage, finishes data arrangement and conversion by manual or preset rules, and realizes data butt joint among different systems through a centralized summarization or step-by-step reporting mode when sharing is required. The operation of the prior art in the building information field depends on an information system independently built by each participating unit, and data exchange is realized by means of manual input, file copy, mail transmission and the like, and although the method meets the primary data sharing requirement, the method has obvious limitation in actual operation. First, because of the adoption of fixed format documents and dedicated data tables for storage, the lack of flexibility in the information transfer process leads to frequent situations of information lag or data collision in cross-department and cross-phase data linking. Secondly, relying on manual work or preset rules to carry out data arrangement and conversion is low in efficiency, errors are easy to occur, accuracy and timeliness of information sharing are affected, and the traditional method relies on step-by-step reporting or centralized summarization to butt-joint different systems, so that redundancy is easy to occur in the data transmission process, engineering requirements of real-time change cannot be responded quickly, and efficient development of engineering management activities is severely restricted. Disclosure of Invention In order to solve the technical problems in the prior art, the embodiment of the invention provides a building engineering data sharing method based on a cloud platform, which comprises the following steps: in order to achieve the purpose, the invention adopts the following technical scheme that the cloud platform-based building engineering data sharing method comprises the following steps: S1, extracting an initial data model and structural constraint conditions based on data description specifications of a full life cycle stage of a building engineering, identifying a plurality of groups of candidate data organization modes, and carrying out preliminary screening through an engineering logic consistency check mechanism to obtain a data organization data set meeting the constraint; s2, based on the data organization data set meeting the constraint, extracting the data calling efficiency and the structural stability of each data organization mode in a differential engineering scene, analyzing the cross-stage data connection capacity and the redundancy control level, and identifying key data fracture nodes to obtain a key node data association characteristic set; S3, based on the key node data association feature set, regulating a data storage and call path by adopting a hierarchical index reconstruction strategy, constructing a data association prediction map, and optimizing a data organization structure and a shared response speed by adjusting logic level distribution to obtain a construction engineering data sharing architecture scheme; and S4, based on the construction engineering data sharing architecture scheme, extracting a data call failure record and a structure conflict log in an original engineering case, detecting the robustness of the architecture scheme, and analyzing the continuous service capability of the architecture scheme in an engineering environment to obtain a data sharing performance-optimized result data table. As a further scheme of the invention, the data organization data set meeting the constraint comprises data hierarchy definition, entity relation mapping rules and cross-stage reference constraint, the key node data association feature set comprises data fracture position identification, reference failure frequency and structural coupling strength, the construction engineering data sharing architecture scheme comprises a reconstructed logic hi